RunRox - Pairs Strategy🧬 Pairs Strategy is a new indicator by RunRox included in our premium subscription.
It is a specialized tool for trading pairs, built around working with two correlated instruments at the same time.
The indicator is designed specifically for pair trading logic: it helps track the relationship between two assets, identify statistical deviations, and generate signals for opening and managing long/short combinations on both legs of the pair.
Below in this description I will go through the core functions of the indicator and the main concepts behind the strategy so you can clearly understand how to apply it in your trading.
📌 CONCEPT
The core idea of pair trading is to find and trade correlated instruments that usually move in a similar way.
When these two assets temporarily diverge from each other, a trading opportunity appears.
In such moments, the relatively overvalued asset is sold (short leg), and the relatively undervalued asset is bought (long leg).
When the spread between them narrows and both instruments revert back toward their typical relationship (mean), the position is closed and the trader captures the profit from this convergence.
In practice, one leg of the pair can end up in a loss while the other generates a larger profit.
Due to the difference in performance between the two assets, the combined result of the pair trade can still be positive.
✅ KEY FEATURES:
2 deviation types (Z-Score and S-Score)
Invert signals mode
Hedge Coefficient (position size balancing between both legs)
6 hedge modes
Entries based on Score or RSI
Extra entries based on Score or Spread
Stop Loss
Take Profit
RSI Filter
RSI Pivot Mode
Built-in Backtester Strategy
Lower Timeframe Backtester Strategy
Live trade panel for current position
Equity curve chart
21 performance metrics in the backtester
2 alert types
*And many more fine-tuning options for pair trading
🔗 SCORE
Score is the core deviation metric between the two assets in the pair.
For example, if you are trading ETHUSDT/BTCUSDT, the indicator analyzes the relationship ETH/BTC, and when one leg temporarily diverges from the other, this difference is reflected in the Score value.
In other words, Score shows how much the current spread between the two instruments deviates from its typical state and is used as the main signal source for pair entries and exits.
In the screenshot above you can see how Score looks in our indicator.
Depending on how large the difference is between the two assets, the Score value can move in a range from −N to +N
When Score is in the −N zone, this is a 🟢 long zone for the first asset and a short zone for the second.
Using the ETH/BTC example: when Score is deeply negative, you open a long on ETH and a short on BTC at the same time, then close both legs when Score returns back to the 0 zone (balance between the two assets).
When Score is in the +N zone, this is a 🔴 short zone for the first asset and a long zone for the second.
In the same ETH/BTC example: when Score is strongly positive, you short ETH and long BTC, and again close both positions when Score comes back to the neutral 0 zone.
☯️ Z/S SCORE
Inside the indicator we added two different formulas for calculating the spread between the two legs of the pair: Z-Score and S-Score.
These approaches measure deviation in different ways and can produce slightly different signals depending on the chosen pair and its behavior.
This allows you to switch between Z-Score and S-Score and choose the method that gives more stable and cleaner signals for your specific instruments.
As you can see in the screenshot above, we used the same pair but applied different Score types to measure the spread and deviation from the norm.
🟣 Z-Score – generated 9 entry signals .
It reacts to price fluctuations more smoothly and usually stays within a range of approximately −8 to +8 .
🟠 S-Score – generated 5 entry signals .
It reacts to price changes more aggressively and produces wider deviations, often reaching −15 to +15 .
This gives traders the choice between a more sensitive but smoother model (Z-Score) and a more selective, stronger-deviation model (S-Score)
⁉️ HOW DOES THE STRATEGY WORK
Here is a basic example of how you can trade this pair trading strategy using our indicator and its signals.
In the classic approach the trade consists of one initial entry and several scale-ins (averaging) if the spread continues to move against the position.
The first entry is opened when Score reaches a standard deviation of −2 or +2.
If price does not revert to the mean and moves further against the position so that Score expands to −3 or +3, the strategy performs the first scale-in.
If Score extends to −4 or +4, a second scale-in is added.
If the spread grows even more and Score reaches −5 or +5, a third scale-in is executed.
In our indicator the number of averaging steps can be up to 4 scale-ins .
After that the position waits until Score returns back to the 0 level , where the whole pair position is closed.
This is the standard model of classical pair trading.
However there are many variations:
using Stop Loss and Take Profit,
exiting earlier or later than the 0 zone,
scaling in not by Score but by Spread, since Score is not linear while Spread is linear,
entering when RSI on both tickers shows opposite extremes, for example RSI 20 on one asset and RSI 80 on the other, and so on.
The number of possible trading styles for this strategy is very large.
We designed the indicator to cover as many of these variations as possible and added flexible tools so you can build your own pair trading logic on top of it.
Below is an example of a classic pair trade with two entries: one main entry and one extra entry (scale-in) .
The pair SUIUSDT / PENGUUSDT shows a high correlation, and on one of the trades the sequence looked like this:
A −2 Score deviation occurred into the long zone and triggered the Main Entry .
🔹 Main Entry
Long SUIUSDT – Margin: 5,000 USD, Entry price: 1.5708
Short PENGUUSDT – Margin: 5,000 USD, Entry price: 0.011793
Price then moved further against the position, Score went deeper into deviation, and the strategy added one extra entry.
🔸 Extra Entry
Long SUIUSDT – Margin: 5,000 USD, Entry price: 1.5938
Short PENGUUSDT – Margin: 5,000 USD, Entry price: 0.012173
The trade was closed when Score reverted back toward the 0 zone (mean reversion of the spread):
❎ Exit
SUIUSDT P&L: −403.34 USD, Exit price: 1.5184
PENGUUSDT P&L: +743.73 USD, Exit price: 0.011089
✅ Total P&L: +340.39 USD
With a total margin of 10,000 USD used per side (20,000 USD combined), this trade yielded around +1.7% on the deployed margin.
On different assets the size and speed of the spread movement will vary, but the principle remains the same.
This is just one example to illustrate how the strategy works in practice using simplified theoretical balances.
⚙️ MAIN SETTINGS
After explaining how the strategy works, we can move to the indicator settings and their logic.
The first block is Main Settings, which controls how the pair is built, how the spread is calculated, and how the backtest is performed.
The core idea of the indicator is to backtest historical data, generate entry signals, show open-position parameters, and provide all necessary metrics for both discretionary and algorithmic trading.
This is a complete framework for analyzing a pair of assets and building a trading system around them. Below I will go through the main parameters one by one.
🔹 Exclude Dates
Allows you to exclude abnormal periods in the pair’s history to remove outlier trades from the backtest.
This is useful when the market experienced extreme news events, listing spikes, or other non-typical situations that distort statistics.
🔹 Pair
Here you select the second asset for your pair.
For example, if your main chart is BTCUSDT, in this field you choose a correlated asset such as ETHUSDT, and the working pair becomes BTCUSDT / ETHUSDT.
The indicator then calculates spread, Score, and all related metrics based on this asset combination.
🔹 Lower Timeframe
This is a special mode for backtesting on a lower timeframe while using a higher timeframe chart to extend the history limit.
For example, if your TradingView plan provides only 5,000 bars of history on the current timeframe, you can switch your chart to a higher timeframe and select a lower timeframe in this setting.
The indicator will then reconstruct the pair logic using up to 99,000 bars of lower timeframe data for backtesting.
This allows you to test the pair on a much longer historical period and find more stable combinations of assets.
🔹 Method
Here you choose which deviation model you want to use: Z-Score or S-Score.
Both methods calculate spread deviation but use different formulas, which can give different signal behavior depending on the pair.
Examples of these two methods are shown earlier in this description.
🔹 Period
This parameter defines how many bars are used to calculate the average deviation for the pair.
If you set Period = 300, the indicator looks back 300 bars and calculates the typical spread deviation over that window.
For example, if the average deviation over 300 bars is around 1%, then a move to 2% or more will push Z/S Score closer to its boundary levels, since such a deviation is considered abnormal for that lookback period.
A larger Period means that only bigger deviations will be treated as anomalies.
A smaller Period makes the model more sensitive and treats smaller deviations as anomalies.
This allows you to tune how aggressive or conservative your pair trading signals should be.
🔹 Invert
This setting is used for negatively correlated pairs.
Some instruments have a positive correlation in the range from +0.8 to +1.0 (strong positive correlation), while others show a negative correlation from −0.8 to −1.0, meaning they usually move in opposite directions.
A classic example is the pair EURUSD and DXY.
As shown in the screenshot above, these instruments often have strong negative correlation due to macro factors and typically move in opposite directions: when EURUSD is rising, DXY is falling, and vice versa.
Such pairs can also be traded with our indicator.
To do this, we use the Invert option, which effectively flips one of the assets (as shown in the screenshot below). After inversion, both instruments are brought to a “same-direction” behavior from the model’s point of view.
From there, you trade the pair in the same way as a positively correlated one:
you open both legs in the same direction (both long or both short) depending on the spread and Score, and then wait for the spread between the inverted pair to converge back toward its mean.
🔀 HEDGE COEFFICIENT
The next block of settings is related to the hedge coefficient.
This defines how much margin is allocated to each leg of the pair.
The classic approach in pair trading is to split the position equally between both assets.
For example, if you allocate 100 USD to a trade , the standard model would open 50 USD long on one asset and 50 USD short on the other.
This works well for pairs with similar volatility , such as BTCUSDT / ETHUSDT
However, if you use a pair like BTCUSDT / DOGEUSDT , the volatility of these assets is very different.
They can still be correlated, but their amplitude is not the same. While Bitcoin might move 2% , Dogecoin can move 10% over the same period.
Because of that, for pairs with strongly different volatility, we can use a hedge coefficient and, for example, enter with 30 USD on one leg and 70 USD on the other, taking the volatility difference into account.
This is the main idea behind the Hedge Coefficient section and its primary use.
The indicator includes 6 methods of calculating the coefficient:
Cumulative RMA
Beta OLS
Beta TLS
Beta EMA
RMA Range
RMA Delta
Each method uses a different formula to compute the hedge coefficient and to size the position based on different metrics of the assets.
We leave it to the trader to decide which algorithm works best for their specific pair and style.
Below are the settings inside this section:
🔹 Method
When Auto Hedge is enabled, you can select which method to use from the list above.
The chosen method will automatically calculate the hedge coefficient between the two legs.
🔹 Hedge Coefficient
This is the manual hedge ratio per trade when Auto Hedge is disabled.
By default it is set to 1, which means the position is opened 50/50 between the two assets.
🔹 Min Allowed Hedge Coef.
This is the minimum allowed hedge coefficient.
By default it is 0.2, which means the model will not go below a 20% / 80% split between the legs.
🔹 MA Length
For methods that use moving averages (for example Beta EMA), this parameter sets the period used to calculate the hedge coefficient.
🛠️ STRATEGY SETTINGS
The next important block is Strategy Settings .
Here you define the core parameters used for backtesting: trading commission, position size, entry / exit logic, Stop Loss, Take Profit, and other rules that describe how you want the strategy to operate.
Below are all parameters with a detailed explanation.
🔸 Commission %
In this field you set your broker’s fee percentage per trade .
The indicator automatically calculates the correct commission for each leg of every trade. You only need to input the real commission rate that your broker charges for volume. No additional manual calculations are required.
🔸 Main Entry Mode
There are two options for the main entry:
Score - This is the primary entry method based on Z/S Score.
When Score reaches the deviation level defined in the settings below, the strategy opens the first position.
For example, if you set “Entry at 2 deviations”, the trade will be opened when Score hits ±2.
RSI Only - Alternative entry method based on RSI divergence between the two assets.
The exact RSI levels are defined in the RSI settings section below.
For example, if you set the entry threshold at 30, then when one asset has RSI below 30 and the second one has RSI above 70, the first entry will be triggered.
🔸 Extra Entries Mode
This defines how scale-ins (averaging) are executed. There are two modes:
Score - Works the same way as the main entry, but for additional entries.
For example, the main entry can be at 2 deviations, the first scale-in at 3, the second at 4, etc.
Spread - This mode uses the Spread (difference between the two assets) starting from the main entry moment.
As the spread continues to widen, the strategy can add extra entries based on spread growth rather than Score.
Since Score is a non-linear metric and Spread is linear, in some configurations averaging by Spread can produce better results than averaging by Score. This is pair- and strategy-dependent. 🔸 Entry parameters
Deviation / Spread threshold
Entry size
Main Entry – first field (deviation / spread), second field (position size)
Entry 2 – first field (deviation / spread), second field (position size)
Entry 3 – first field (deviation / spread), second field (position size)
Entry 4 – first field (deviation / spread), second field (position size)
This allows you to define up to four scaling steps with different triggers and different sizing.
🔸 Exit Level
This parameter defines at what Score level you want to exit the trade.
By default it is 0, which means the backtester closes the position when Score returns to the neutral (0) zone.
You can also use positive or negative values. Example:
Assume your main entry is configured at a 3 deviation.
You can exit at the 0 level, or you can set Exit Level = 2.
If your initial entry was at −3, the position will be closed when Score reaches +2.
If your initial entry was at +3, the position will be closed when Score reaches −2.
This approach can increase the profit per trade due to a larger captured spread, but it may also increase the holding time of the position.
🔸 Stop Loss
Here you define the maximum loss per trade in PnL units.
If a trade reaches the negative PnL value specified in this field and the Stop Loss option is enabled, the indicator will close the trade at a loss.
The Cooldown parameter sets a pause after a losing trade:
the strategy will wait a specified number of bars before opening the next trade.
🔸 Take Profit
Works similar to Stop Loss but for profit targets.
You set the desired PnL value you want to reach.
The trade will be closed when either the Take Profit target is hit or when Score reaches the exit level defined in the settings, whichever occurs first (depending on your configuration).
🔸 Show Qty in currency
When enabled, trade size is displayed in currency (USD) instead of token quantity.
This is useful for quickly understanding position size in monetary terms.
You will see this in the Current Trade panel, which is described later.
🔸 Size Rounding
Controls how many decimal places are used when rounding position size (from 0 to 10 digits after the decimal).
This is also used for the Current Trade panel so you can adjust how detailed or compact the size display should be.
📊 RSI FILTERS
This section is used for additional trade filtering.
RSI can be used in two ways:
as a primary entry signal,
or as an extra filter for entries based on Z/S Score.
If in the Strategy Settings the Main Entry Mode is set to RSI, then RSI becomes the main trigger for opening a position.
In this case a trade is opened when the RSI of the two assets reaches opposite zones.
Example:
If the threshold is set to 30, then:
when one asset has RSI below 30, and
the second asset has RSI above 70 (100 − 30),
the strategy opens the first entry.
All extra entries after that will be executed either by Spread or by Z/S Score, depending on your Extra Entries Mode.
Below are the parameters in this block:
RSI Length – standard RSI period setting.
RSI Pivot Mode – when enabled, RSI is used as an additional filter together with Z/S Score. The indicator looks for a reversal pattern on RSI (pivot behavior). If RSI forms a reversal structure, the trade is allowed to open. If not, the signal is skipped until a proper RSI pivot is formed.
Entry RSI Filter – here you define the RSI thresholds used for RSI-based entries. These are the same boundary levels described in the example above.
Overall, this section helps filter out lower-quality trades using additional RSI conditions or lets you build RSI-only entry logic based on extreme levels.
🎨 MAIN CHART STYLING
This section controls the visual appearance of trades on the main chart.
You can customize how the second asset line is drawn, as well as the icons for entries, scale-ins, and exits, including their size and style.
▫️ Price Line
This is the line that shows the price of the second asset and the relative difference between the two instruments.
You can adjust the line thickness and color to make it more readable on your chart.
▫️ Adjust Price Line by Hedge Coefficient
When this option is enabled, the second asset’s line is normalized by the hedge coefficient.
If you turn it off, the hedge coefficient will not be applied to the second asset’s line, and it will be displayed in raw form.
▫️ Entry Label
Here you can customize how the entry markers look:
choose the color, icon style, and size of the label that marks each trade entry and scale-in on the chart.
▫️ Exit Label
Similarly, you can define the color, icon style, and size of the label used for exits.
This helps visually separate entries and exits and makes it easier to read the trade history directly from the chart.
🎯 INDICATOR PANEL
This section controls the settings of the indicator panel, which works like an oscillator and allows you to visualize multiple metrics in one place.
You can flexibly enable, style, and scale each parameter.
🔹 Score
Displays the main deviation metric between the two assets.
You can customize the color and line thickness of the Score plot.
🔹 Spread
Shows the spread between the two assets.
It starts calculating from the moment the trade is opened.
You can adjust its color and thickness for better visibility.
🔹 Total Profit
Displays the cumulative profit for this pair and strategy as a line that grows (or falls) over time.
Color, opacity, and line thickness can be customized.
🔹 Unrealized PNL
Once a trade is opened, this line shows the current PnL of the active position.
It also lets you see historical drawdowns on the pair.
Color and thickness can be adjusted.
🔹 Released PNL
Shows the realized PnL of each closed trade as bars.
Useful for quickly evaluating the result of every individual trade in the backtest.
🔹 Correlation
Plots the correlation coefficient between the two assets as a graph, so you can visually track how stable or unstable the relationship between them is over time.
🔹 Hedge Coefficient
Shows the hedge coefficient as a line, which helps understand how the model is rebalancing exposure between the two legs depending on their behavior.
For each metric there is also a 📎 Stretch option.
Stretch allows you to compress or expand the scale of a specific line to visually align metrics with different ranges on the same panel and make the chart easier to read.
📈 PROFIT CHART
Since TradingView does not natively support proper backtesting for pair trading, this indicator includes its own profit curve for the pair.
You can visually see how the strategy performed over historical data: whether there were deep drawdowns, abnormal profit spikes, or stable equity growth over time. This makes it much easier to evaluate the quality of the pair and the strategy on history.
In the settings of this section you can flexibly customize how the profit chart is displayed:
labels, position of the panel, padding, and other visual details.
Everything depends on your personal preferences, so we give full control over styling:
you can adjust the look of the profit chart to match your layout or completely hide it from the chart if you do not need it.
📌 CURRENT TRADE
This section controls the current trade table.
When there is an active trade on the chart, the panel displays all key information for the open position:
direction for each ticker (long or short),
required position size for each leg,
entry price for both assets,
and real-time PnL for each leg separately,
so you always have a clear view of the current situation.
The main thing you can do with this table is customize its appearance:
you can change the size, position on the chart, background and text colors, as well as separate coloring for positive / negative PnL and different colors for long and short positions.
📅 BACKTEST RESULTS
The next key block is Backtest Results.
This results table with detailed metrics gives you an extended view of how the pair and strategy perform: win rate, profit factor, long/short breakdown, and more than 20 additional stats that help you evaluate the potential of your setup.
⚠️ First of all, it is important to note ⚠️
past performance does not guarantee future results.
Every trader must keep this in mind and factor these risks into their strategy.
The table shows metrics in three cuts:
All Entries
Main Entries
Extra Entries (scale-ins)
Core metrics:
Profit – total profit for each entry type.
Winrate – win rate for this pair.
Profit Factor – ratio of gross profit to gross loss for the strategy.
Trades – number of trades in the backtest.
Wins – number of winning trades.
Losses – number of losing trades.
Long Profit – profit generated by long positions.
Short Profit – profit generated by short positions.
Longs – total number of long trades.
Shorts – total number of short trades.
Avg. Time – average time spent in a trade.
Additional metrics for a deeper evaluation of the pair:
Correlation – current correlation between the two assets in the pair.
Bars Processed – number of bars used in the analysis.
Max Drawdown – maximum historical drawdown of the strategy.
Biggest Loss – the largest single losing trade in the backtest.
Recommended Hedge – recommended hedge coefficient based on historical behavior.
Max Spread – maximum positive spread observed in history.
Min Spread – maximum negative spread observed in history.
Avg. Max Spread – average of positive extreme spread values (above 0).
Avg. Min Spread – average of negative extreme spread values (below 0).
Avg Positive Spread – average positive spread across all trades (only values above 0).
Avg Negative Spread – average negative spread across all trades (only values below 0).
Current Spread – current spread between the assets when a trade is open.
These metrics together allow you to quickly assess how stable the pair is, how the risk/return profile looks, and whether the strategy parameters are suitable for live trading. You can fully customize this results table to fit your workflow:
hide metrics you don’t need, change colors, opacity, and other visual styles, and reorder the focus of the stats according to your trading style.
This way the backtest block can show only the metrics that matter to you most and remain clean and readable during analysis.
📣 ALERTS
The next section is dedicated to alerts.
Here you can configure all signals you need, both for manual trading and for full automation of this pair trading strategy. This block is designed to cover most practical use cases. The indicator supports two alert modes:
Single Alert – one universal custom alert for all events.
Two Alerts – separate alerts for each ticker so you can receive different messages per asset.
Available alert events:
Main Entry – when the main entry is triggered.
Entry 2 – when the first scale-in is executed.
Entry 3 – when the second scale-in is executed.
Entry 4 – when the third scale-in is executed.
Exit Alert – when the position is closed.
StopLoss Alert – when Stop Loss is hit.
TakeProfit Alert – when Take Profit is hit.
All alerts are fully customizable and support a set of placeholders for building structured messages or JSON payloads.
🔹1 Alert Type
List of supported placeholders: {{event}} – trigger name ('Entry 1', 'Exit').
{{dir_1}} – 'Long' or 'Short' for the main ticker.
{{dir_2}} – 'Long' or 'Short' for the other ticker.
{{action_1}} – 'Buy', 'Sell' or 'Close' for the main ticker.
{{action_2}} – 'Buy', 'Sell' or 'Close' for the other ticker.
{{price_1}} – price for the main ticker.
{{price_2}} – price for the other ticker.
{{qty_1}} – order size for the main ticker.
{{qty_2}} – order size for the other ticker.
{{ticker_1}} – main ticker (e.g. 'BTCUSD').
{{ticker_2}} – other ticker (e.g. 'ETHUSD').
{{time}} – candle open time in UTC.
{{timenow}} – signal time in UTC.
🔹2 Alert Type
List of supported placeholders: {{event}} – trigger name ('Entry 1', 'Exit', 'SL', 'TP').
{{action}} – 'Buy', 'Sell' or 'Close'.
{{price}} – order price.
{{qty}} – order size.
{{ticker}} – ticker (e.g. 'BTCUSD').
{{time}} – candle open time in UTC.
{{timenow}} – signal time in UTC. You can use these placeholders to build any JSON structure or custom alert text required by your trading bot, exchange API, or automation service.
In this post I’ve explained how the indicator works, the core concept behind this pair trading strategy, and shown practical examples of trades together with a detailed breakdown of each unique feature inside the tool.
We have invested a lot of work into building this indicator and we truly hope it will help you trade pair strategies more efficiently and more profitably by giving you structured, strategy-specific information that is difficult to obtain in any other way.
⚠️ Please also remember that past performance does not guarantee future results.
Always evaluate the risks, the robustness of your setup, and your own risk tolerance before entering any position, and make independent, well-considered decisions when using this or any other strategy.
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Call-Put Cross Strike Match [Pro]📊 Call-Put Cross Strike Match - Professional Options Trading Indicator
Advanced NSE Options Analysis with AI-Powered Trading Signals & Dynamic Display
🎯 Overview
The Call-Put Cross Strike Match is an institutional-grade options analysis tool designed exclusively for NSE NIFTY and BANKNIFTY traders. Built on Pine Script v6, this indicator combines sophisticated cross-strike matching algorithms with intelligent trading signal generation to identify optimal options trading opportunities in real-time.
What makes it unique:
Analyzes 25 call-put combinations simultaneously
Generates actionable BUY/SELL signals using professional strategies
Fully customizable display with 9 table positions and 6 size options
Simplified setup with semi-automatic ATM detection
Clean, clutter-free interface with only essential information
Perfect for intraday scalpers, premium sellers, and positional options traders.
✨ Key Features
1. 🔍 Advanced Cross-Strike Matching Algorithm
The indicator calculates price differences for all 25 combinations (5 call strikes × 5 put strikes) and identifies the best matches based on put-call parity.
How it works:
Compares each call option price with every put option price
Calculates absolute difference: |Call - Put |
Ranks all 25 combinations from lowest to highest difference
Highlights top 3 or top 5 matches with visual checkmarks
Visual indicators:
✓✓ (Double check) = Best match (lowest price difference)
✓ (Single check) = Good matches (top 3 or top 5)
Empty cells = No match (significant price difference)
Why this matters:
When Call ≈ Put at same strike, it indicates fair pricing and synthetic position opportunities. The indicator automatically finds these opportunities across different strike combinations.
2. 🎯 Intelligent Trading Signals (Last Column)
The indicator generates professional trading recommendations based on Call-Put price difference analysis:
Signal Types:
BUY CE - Long call opportunity (bullish)
SELL CE - Short call opportunity (premium selling)
BUY PE - Long put opportunity (bearish/hedge)
SELL PE - Short put opportunity (premium selling)
BULL - Moderate bullish bias
BEAR - Moderate bearish bias
ATM - Neutral market (near parity)
NEUTRAL - No clear bias
Color-Coded for Quick Decisions:
🟩 Green = Long opportunities (BUY CE, BULL)
🟥 Red = Short call opportunities (SELL CE)
🟧 Orange = Long put opportunities (BUY PE)
🟫 Maroon = Short put opportunities (SELL PE)
⬛ Gray = Neutral zones (ATM, NEUTRAL)
3. 🤖 Three Professional Signal Modes
SMART Mode (Recommended) 🎯
Context-aware institutional strategy that considers strike position relative to spot price.
Signal Logic:
text
OTM Call Expensive (C-P > threshold, Strike > Spot):
→ SELL CE (Premium selling opportunity)
ITM Call Underpriced (C-P > threshold, Strike < Spot):
→ BUY CE (Synthetic long opportunity)
OTM Put Expensive (C-P < -threshold, Strike < Spot):
→ SELL PE (Premium selling opportunity)
ITM Put Underpriced (C-P < -threshold, Strike > Spot):
→ BUY PE (Protection or synthetic short)
Near Parity (|C-P| < threshold/4):
→ ATM (Neutral market, straddle/strangle zone)
Moderate Imbalance:
→ BULL or BEAR (Directional bias without extreme pricing)
Best for: Professional traders, option writers, synthetic position builders
MOMENTUM Mode 📈
Trend-following strategy that rides market momentum.
Signal Logic:
text
Calls Expensive (C-P > threshold):
→ BUY CE (Follow bullish momentum)
Puts Expensive (C-P < -threshold):
→ BUY PE (Follow bearish momentum)
Near Parity:
→ NEUTRAL (No clear trend)
Best for: Intraday scalpers, directional traders, swing traders
MEAN REVERSION Mode 🔄
Counter-trend strategy focused on premium selling.
Signal Logic:
text
Calls Overpriced (C-P > threshold):
→ SELL CE (Collect inflated premium)
Puts Overpriced (C-P < -threshold):
→ SELL PE (Collect inflated premium)
Near Parity:
→ ATM (Fair value, no edge)
Best for: Option writers, theta decay strategies, credit spread traders
4. 🎨 Fully Customizable Display
Dynamic Table Positioning (9 Options):
Top: left, center, right
Middle: left, center, right
Bottom: left, center, right
Choose position based on your chart layout and other indicators.
Dynamic Table Sizing (6 Options):
Auto - Adapts to content
Tiny - Minimal space (for cluttered charts)
Small - Default, best balance
Normal - Medium size (1080p monitors)
Large - Big text (4K monitors)
Huge - Maximum size (presentations)
Text scales intelligently:
Headers, data, and checkmarks adjust proportionally
Checkmarks remain visible even in tiny mode
Info row stays readable at all sizes
5. ⚙️ Simplified Input System
Auto Mode (Recommended):
Enter just 5 strikes once at market open - used for both calls and puts.
Example for NIFTY at 25,900:
text
Strike 1: 25850 (ATM - 100)
Strike 2: 25900 (ATM - 50)
Strike 3: 25950 (ATM)
Strike 4: 26000 (ATM + 50)
Strike 5: 26050 (ATM + 100)
Manual Mode (Advanced):
Enter separate call and put strikes for cross-strike arbitrage analysis.
Why this matters:
50% fewer inputs compared to traditional indicators
One-time setup at market open
Rarely needs updating (only if market moves 100+ points)
6. 🎛️ Semi-Automatic ATM Detection
The indicator automatically:
Detects current NIFTY/BANKNIFTY spot price
Calculates ATM strike (rounded to nearest 50 or 100)
Marks ATM strikes with *ATM in the table
Displays ATM and spot price in info box
No manual recalculation needed!
7. 📊 Clean Information Display
Main Table (Top/Middle/Bottom):
CE \ PE matrix showing all strike combinations
Checkmarks (✓✓ and ✓) highlighting best matches
SIGNAL column with color-coded trading recommendations
Best Match footer showing optimal combination
Info row displaying symbol, signal mode, and spot price
Info Box (Bottom Left):
Symbol (NIFTY/BANKNIFTY)
Signal Mode (Smart/Momentum/Mean Reversion)
Current Spot Price
Detected ATM Strike
Best Matched Call Strike
Best Matched Put Strike
Match Difference
C-P value for best match
📋 Quick Setup Guide (3 Steps)
Step 1: Add Indicator
Open NIFTY or BANKNIFTY chart on TradingView
Add "Call-Put Cross Strike Match " from indicators
Step 2: Configure Basic Settings
text
Symbol Detection: Auto (reads from chart)
Expiry Date: 251219 (format: YYMMDD for 19-Dec-2025)
Strike Mode: Auto
Strike Interval: 50 (for NIFTY) or 100 (for BANKNIFTY)
Step 3: Enter Strikes
At market open (9:15 AM), check current price and enter 5 strikes:
text
Example: NIFTY at 25,937
Strike 1: 25850 (ATM - 100)
Strike 2: 25900 (ATM - 50)
Strike 3: 25950 (ATM) ← Rounded to nearest 50
Strike 4: 26000 (ATM + 50)
Strike 5: 26050 (ATM + 100)
That's it! The indicator handles everything else automatically.
💡 Real-World Use Cases
1. 📉 Premium Selling (Mean Reversion Mode)
Scenario: Looking for overpriced options to write
How to use:
Set Signal Mode to "Mean Reversion"
Set Threshold: 30 (NIFTY) or 75 (BANKNIFTY)
Look for SELL CE or SELL PE signals with ✓ or ✓✓
Sell naked options or credit spreads at those strikes
Target 30-50% profit or 3-5 days theta decay
Perfect for: Credit spreads, iron condors, covered calls, naked puts
2. 📈 Directional Trading (Momentum Mode)
Scenario: Scalping intraday moves
How to use:
Set Signal Mode to "Momentum"
Set Threshold: 15 (aggressive) or 25 (conservative)
BUY CE signal + ✓✓ = Long call entry
Enter with tight stop (20% of premium)
Target 30-50% gain within 1-2 hours
Perfect for: Intraday scalping, swing trading, trend following
3. 🔄 Synthetic Positions (Smart Mode)
Scenario: Building synthetic long/short with defined risk
How to use:
Set Signal Mode to "Smart"
Look for BUY CE at ITM strike + SELL PE at OTM strike
Both should have ✓ indicator (good parity)
Creates synthetic long position
Lower capital than buying futures
Perfect for: Professional traders, arbitrage, capital efficiency
4. ⚖️ ATM Strategy Optimization (Smart Mode)
Scenario: Finding optimal strikes for straddle/strangle
How to use:
Identify strike marked *ATM
Check if signal shows ATM (balanced market)
If BULL/BEAR → Market has directional bias, adjust accordingly
✓✓ indicates best matched strike for neutral strategies
Perfect for: Volatility trading, earnings plays, event trading
5. 🛡️ Hedging Optimization (Smart Mode)
Scenario: Protecting long equity positions
How to use:
Look for BUY PE signals (protection signals)
Avoid strikes with SELL PE (expensive hedges)
✓✓ shows best value for hedge entry
Optimize hedge timing and strike selection
Perfect for: Portfolio hedging, risk management, protective puts
⚙️ Settings Guide
Symbol Settings
Symbol Detection: Auto (recommended) or Manual
Manual Symbol: NIFTY or BANKNIFTY
Expiry Date: Format YYMMDD (e.g., 251219 = 19-Dec-2025)
Update every Thursday after 3:30 PM for next week's expiry
Strike Settings
Strike Mode: Auto (recommended) or Manual
Strike Interval:
50 for NIFTY
100 for BANKNIFTY
Trading Signals
Signal Mode: Smart / Momentum / Mean Reversion
Smart: Professional institutional strategy (default)
Momentum: Trend-following for scalpers
Mean Reversion: Premium selling for writers
Signal Threshold: Sensitivity in points
NIFTY Recommendations:
Conservative: 30-40 points (fewer, higher quality signals)
Balanced: 20-25 points (default)
Aggressive: 10-15 points (more signals, more noise)
BANKNIFTY Recommendations:
Conservative: 75-100 points
Balanced: 50-60 points (default)
Aggressive: 30-40 points
Algorithm Settings
Matching Mode:
Top 3: Shows 3 best matches (cleaner display)
Top 5: Shows 5 best matches (more opportunities)
Display Settings
Show Matching Table: Enable/disable main table
Table Position: Choose from 9 positions
top_right (default) - Doesn't block price action
middle_right - Centered vertical view
bottom_right - If top is crowded
Table Size: Choose from 6 sizes
small (default) - Best for most users
normal - For 1080p/4K monitors
tiny - If you have many indicators
📊 Understanding The Table
Table Layout Example:
text
CE \ PE | 25950 | 25900 | 25850 | 26000 | 26050 | SIGNAL
---------|-------|-------|-------|-------|-------|--------
25850 | | | | | | SELL PE
25900*ATM| | ✓ | | | | ATM
25950 | ✓✓ | | | | | BULL
26000 | | | | ✓ | | BUY CE
26050 | | | | | | SELL CE
---------|-------|-------|-------|-------|-------|--------
Best Match: 25950 / 25950 (0.25)
Info: NIFTY | Smart | Spot:25881.9
Reading the Table:
Rows (Left): Call option strike prices
Columns (Top): Put option strike prices
Cells: Checkmarks where Call ≈ Put
✓✓: Best match (minimum price difference)
✓: Good matches (top 3 or 5)
Empty: Prices too different (no match)
*ATM: Automatically detected at-the-money strike
SIGNAL Column: Actionable trading recommendation for each call strike
Info Box Metrics:
Symbol: Currently analyzed index
Signal Mode: Active strategy
Spot: Current underlying price
ATM: Calculated at-the-money strike
Best Call: Matched call strike
Best Put: Matched put strike
Match Diff: Price difference (lower = better)
C-P (Best): Call minus Put for best match
📈 Best Practices
Strike Selection & Maintenance
At Market Open (9:15 AM):
Check current price (e.g., NIFTY at 25,937)
Round to nearest interval (25,950 for 50 interval)
Enter 5 strikes: -100, -50, 0, +50, +100 from ATM
Update Frequency:
Usually no update needed entire day
Update only if market moves 100+ points from initial ATM
Typically 0-2 updates per trading session
Signal Interpretation by Confidence Level
High Confidence (✓✓ + Signal):
Best match indicator present
Strongest signal quality
Highest probability setup
Medium Confidence (✓ + Signal):
Good match present
Reliable signal
Acceptable risk/reward
Low Confidence (Signal without ✓):
No match indicator
Strike far from parity
Requires additional confirmation
Risk Management Rules
Never trade signals blindly. Always:
✅ Confirm with price action and support/resistance
✅ Check overall market trend (NIFTY/BANKNIFTY direction)
✅ Consider time decay (theta) for your position
✅ Monitor IV changes (implied volatility)
✅ Use proper position sizing (1-2% risk per trade)
✅ Set stop losses (20-30% of premium for longs)
✅ Have profit targets (30-50% for scalps)
Timeframe Selection
Intraday Trading:
Use 5-minute or 15-minute chart
Momentum or Smart mode
Lower threshold (aggressive)
Quick entries and exits
Positional Trading:
Use hourly or daily chart
Smart or Mean Reversion mode
Higher threshold (conservative)
Swing trade positions
Combining with Other Tools
Recommended complements:
Support/resistance levels (horizontal lines)
Trend indicators (EMA 20/50, SuperTrend)
Volume analysis (confirm breakouts)
India VIX (volatility context)
Option chain data (open interest)
🎓 Strategy Examples
Strategy 1: Professional Premium Selling
text
Mode: Mean Reversion
Threshold: 30 (NIFTY) / 75 (BANKNIFTY)
Timeframe: Daily
Rules:
1. Wait for SELL CE or SELL PE signal
2. Verify strike has ✓ or ✓✓ (good parity)
3. Check if OTM (Strike away from spot)
4. Sell option or create credit spread
5. Target: 30-50% profit or 3-5 days theta
6. Stop: If signal changes to BUY
Position: Naked short or credit spreads
Risk: Define with spreads or capital allocation
Strategy 2: Intraday Momentum Scalping
text
Mode: Momentum
Threshold: 15 (aggressive)
Timeframe: 5-minute
Rules:
1. Wait for BUY CE signal + ✓✓
2. Enter long call immediately
3. Stop loss: 20% of premium paid
4. Target 1: 30% gain (partial exit)
5. Target 2: 50% gain (full exit)
6. Exit if signal changes or 2 hours pass
Position: Long calls or long puts only
Risk: 1-2% of capital per trade
Strategy 3: Synthetic Long Position
text
Mode: Smart
Threshold: 25 (NIFTY) / 60 (BANKNIFTY)
Timeframe: Hourly
Rules:
1. Identify BUY CE signal at ITM strike
2. Identify SELL PE signal at OTM strike
3. Both should have ✓ indicator
4. Buy ITM call + Sell OTM put = Synthetic Long
5. Lower capital than futures
6. Defined risk (width of strikes)
Position: Call debit + Put credit
Risk: Net debit paid (defined risk)
Strategy 4: ATM Straddle Entry
text
Mode: Smart
Threshold: 20 (default)
Timeframe: Daily
Rules:
1. Find strike marked *ATM
2. Check signal shows "ATM" (neutral)
3. Verify ✓✓ at that strike
4. Sell ATM call + Sell ATM put
5. Collect maximum premium
6. Exit at 30% profit or before expiry
Position: Short straddle or iron condor
Risk: Use defined risk (iron condor recommended)
🔔 Important Notes
Data Accuracy
Indicator uses TradingView's NSE options data feed
Always verify prices independently before trading
Ensure market is open (9:15 AM - 3:30 PM IST)
Check for "-" in cells indicating missing data
Expiry Management
Update expiry date every week on Thursday post-closing
Format: YYMMDD (6 digits)
Weekly expiry: Every Thursday
Monthly expiry: Last Thursday of month
Strike Format
NIFTY: Multiples of 50 (25850, 25900, 25950...)
BANKNIFTY: Multiples of 100 (51800, 51900, 52000...)
Wrong strikes = No data in table
Performance Optimization
Indicator updates every bar close
No lag or performance issues
Works on all timeframes (1m to 1D)
Maximum 5 calls + 5 puts = 10 security calls (within limits)
⚠️ Disclaimer
Trading options involves substantial risk of loss and is not suitable for all investors. This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading advice.
Important disclaimers:
Options can expire worthless, resulting in 100% loss
Past performance of signals is not indicative of future results
Accuracy depends on TradingView's NSE data feed
Signals are mathematical analysis, not predictions
You are solely responsible for your trading decisions
The developer is not liable for any trading losses incurred while using this indicator.
Before trading, ensure you understand:
Options Greeks (Delta, Gamma, Theta, Vega, Rho)
Implied volatility and its impact
Time decay and expiration risks
Assignment risk for short positions
Liquidity and slippage considerations
Margin requirements and capital needs
Always:
Use proper risk management (1-2% per trade)
Trade with capital you can afford to lose
Paper trade before live trading
Consult with a licensed financial advisor
Start with small position sizes
Never risk more than you can afford to lose
📊 Technical Specifications
Platform: TradingView Pine Script v6
Exchanges: NSE (National Stock Exchange of India)
Instruments: NIFTY, BANKNIFTY options
Timeframes: All (1m, 5m, 15m, 1h, 1D)
Strikes Analyzed: 5 calls × 5 puts = 25 combinations
Security Calls: 10 (5 calls + 5 puts)
Table Positions: 9 (all corners and centers)
Table Sizes: 6 (auto to huge)
Signal Modes: 3 (Smart, Momentum, Mean Reversion)
Performance: Optimized, minimal lag
🎯 Who Should Use This?
✅ Perfect For:
Options Traders: Intraday and positional
Premium Sellers: Option writers and theta strategists
Arbitrage Traders: Synthetic position builders
Straddle/Strangle Traders: ATM strategy traders
Professional Traders: Institutional-grade analysis
Volatility Traders: IV imbalance exploiters
Scalpers: Quick intraday moves
❌ Not Suitable For:
Stock options traders (NSE index-specific)
Equity-only traders (requires options knowledge)
International markets (NSE format only)
Complete beginners (requires basic options understanding)
💬 FAQ
Q: Why manual strike entry? Why not fully automatic?
A: Pine Script's type system limits fully automatic strike generation from live data. However, setup takes just 30 seconds once at market open, and the indicator handles all analysis automatically throughout the day.
Q: How often should I update strikes?
A: Rarely! Only when market moves 100+ points from initial ATM. Usually 0-2 times per day, even in volatile markets.
Q: Which Signal Mode is best?
A: Smart mode (default) for professional trading. Use Momentum for intraday scalping, Mean Reversion for premium selling.
Q: Can I use this for stock options?
A: No. The indicator is designed specifically for NSE index options (NIFTY and BANKNIFTY) with NSE format.
Q: Does it work on mobile?
A: Yes, but table display is optimized for desktop/tablet screens. Use "tiny" or "small" size on mobile.
Q: What if I see "-" in cells?
A: Check expiry format (YYMMDD), verify strikes match NSE strikes, and ensure market is open.
Q: What's the difference between ✓✓ and ✓?
A: ✓✓ = Best match (lowest price difference), highest quality. ✓ = Good matches (top 3-5), reliable quality.
Q: Can I backtest this indicator?
A: The indicator shows live analysis. For backtesting options strategies, you'll need historical options data and separate backtesting tools.
Q: What does the info box show?
A: Bottom-left box shows key metrics: symbol, signal mode, spot price, ATM strike, best matched strikes, match difference, and C-P value.
Q: Why no chart plotting?
A: v1.0 focuses on clean table display with maximum information density. Chart plotting may be added in future versions based on user feedback.
🙏 Credits
Developed by a professional options trader for the Indian trading community. Inspired by institutional trading desks and market makers who use call-put parity for daily trading decisions.
Found This Helpful?
⭐ Rate 5 stars if it improved your trading
💬 Comment with your strategy results
🔔 Follow for updates and new indicators
📢 Share with fellow options traders
Feature Requests
Continuous improvement based on trader feedback. Suggest features in comments!
Planned Features (v2.0):
Multi-expiry comparison
Greeks display (Delta, Theta, Vega)
Historical signal performance stats
Custom signal formulas
Export to CSV functionality
🏷️ Tags for Search
#Options #OptionsTrading #NIFTY #BANKNIFTY #NSE #India #OptionChain #CallPut #PutCallParity #Straddle #Strangle #ATM #TradingSignals #OptionsStrategy #PremiumSelling #OptionsScanner #Derivatives #IntradayTrading #VolatilityTrading #Arbitrage #SyntheticPosition #OptionsGreeks #OptionsSelling #OptionsWriting #IndianStockMarket #NSEOptions #OptionsAnalysis #TechnicalAnalysis #AlgoTrading #QuantTrading #ProfessionalTrading #TradingIndicator #PineScript #TradingView
📝 Version History
v1.0 (Current - Dec 2025)
Pine Script v6 implementation
Cross-strike matching (5×5 matrix, 25 combinations)
Three signal modes (Smart, Momentum, Mean Reversion)
Trading signal generation with color coding
Dynamic table positioning (9 positions)
Dynamic table sizing (6 sizes)
Intelligent text scaling
Semi-automatic ATM detection
Auto symbol detection
Simplified input system (50% fewer inputs in Auto mode)
Clean information display
Info box with key metrics
NSE NIFTY & BANKNIFTY support
Start trading smarter with institutional-grade options analysis! 📈💰🚀
Disclaimer: Options trading is subject to market risk. Please read all scheme-related documents carefully before investing.
AI ALGO [Ganesh]Core Strategy Components\
1. EMA (Exponential Moving Average) SystemThe strategy uses three EMAs to identify trend direction:
EMA 48 (longer-term trend)
EMA 2 (short-term momentum)
EMA 21 (medium-term trend)
How it works:
Bullish trend: When price is above EMA 21 (green cloud)
Bearish trend: When price is below EMA 21 (red cloud)
EMA Cloud: The area between EMA 2 and EMA 48/21 provides visual trend confirmation
Optional higher timeframe (HTF) analysis for multi-timeframe confirmation
2. DEMA ATR (Double EMA + Average True Range)
This is a dynamic support/resistance indicator that adapts to volatility:Components:
DEMA (Double Exponential Moving Average): Smooths price action with less lag
ATR Bands: Creates upper and lower bands based on volatility (ATR × 1.7 factor)
Signal Generation:
Green line: Uptrend (DEMA ATR rising)
Red line: Downtrend (DEMA ATR falling)
Acts as a trailing stop-loss level that adjusts with market volatility
3. Smart Trail System (Fibonacci-Based)
An advanced trailing stop system using modified true range calculations:Key Features:
Calculates true range using Wilder's smoothing method
Creates Fibonacci retracement levels (61.8%, 78.6%, 88.6%) from the trail line
Adaptive stop-loss: Adjusts based on ATR factor (4.2) and smoothing (4)
Trend Detection:
Bullish: Price > Trailing line (blue zones)
Bearish: Price < Trailing line (red zones)
The Fibonacci zones show potential support/resistance areas
4. ZigZag Indicator Identifies significant swing highs and lows:
Length parameter: 13 (sensitivity control)
Labels: Higher Highs (HH), Lower Lows (LL), etc.
Helps identify trend reversals and key pivot points
5. Support & Resistance Levels
Strength-based S/R: Identifies horizontal support/resistance zones
Zone width: Adjustable percentage-based zones
High/Low zones: Marks significant price levels
Trading LogicEntry Conditions (Implied)The strategy likely enters trades when:Long Entry:
Price crosses above DEMA ATR (green)
Price is above EMA 21 (bullish EMA cloud)
Smart Trail confirms uptrend
Price bounces from Fibonacci support levels
Short Entry:
Price crosses below DEMA ATR (red)
Price is below EMA 21 (bearish EMA cloud)
Smart Trail confirms downtrend
Price rejects from Fibonacci resistance levels
Exit/Stop-Loss Strategy
Trailing stops: Using Smart Trail Fibonacci levels
Dynamic stops: DEMA ATR line acts as a moving stop-loss
Risk management: Position sizing at 50% of equity per trade
Dashboard Features1. Weekly Performance Table
Tracks trades per day of the week
Shows win/loss statistics
Calculates win rate percentage
2. Monthly Performance Table
Monthly P&L breakdown
Yearly performance summary
Color-coded returns (green = profit, red = loss)
Strategy Parameters
Initial Capital: $5,000
Commission: 0.02% per trade
Position Size: 50% of equity
Pyramiding: Disabled (no adding to positions)
Calculation: On bar close (not tick-by-tick)
Visual Elements
EMA clouds: Green (bullish) / Red (bearish)
DEMA ATR line: Dynamic support/resistance
Smart Trail zones: Fibonacci-based colored bands
ZigZag lines: Swing high/low connections
S/R zones: Horizontal support/resistance areas
Strategy Philosophy
This is a trend-following strategy with dynamic risk management that:
Uses multiple timeframes for confirmation
Adapts to volatility through ATR-based indicators
Provides clear visual cues for trend direction
Includes comprehensive performance tracking
Combines momentum (EMAs) with volatility (ATR) for robust signals
The strategy works best in trending markets and uses the Fibonacci trail system to maximize profits while protecting against reversals with adaptive stop-losses.
RSI Risk | AlgoFy TraderRSI Risk | AlgoFy Trader
Overview
The RSI Risk | AlgoFy Trader is a trading system that combines RSI-based entry signals with automated capital management. This strategy identifies potential momentum shifts while controlling risk through calculated position sizing.
Key Features
Dynamic Risk Management:
Fixed Risk Per Trade: Users set maximum risk percentage per trade.
Automatic Position Sizing: Calculates position size based on stop-loss distance.
Capital Protection: Limits each trade's risk to user-defined percentage.
RSI Entry System:
Momentum Detection: Uses RSI crossovers above/below defined thresholds.
Clear Signals: Provides long/short entries on momentum transitions.
Multiple Exit Layers:
Dynamic Stop Loss: Stop based on recent price structure.
Fixed Safety Stop: Optional percentage-based stop loss.
Partial Take Profit: Optional early profit-taking.
Trailing Stop: Optional dynamic profit protection.
Performance Tracking:
Trade Statistics: Tracks win/loss streaks and performance metrics.
Monthly Dashboard: Shows monthly/yearly P&L with equity views.
Trade Details: Displays risk percentage and position size.
How It Works
Signal Detection: Monitors RSI for crossover events.
Risk Calculation: Determines stop-loss based on recent volatility.
Position Sizing: Calculates exact position to match risk percentage.
Example:
Account: $10,000 | Risk: 2% ($200 max)
Stop loss at 4% distance
Position size: $5,000
Result: 4% loss on $5,000 = $200 (2% of account)
Recommended Settings
Risk: 1-2% per trade
Enable fixed stop at 3-4%
Consider trailing stop activation
This script provides disciplined RSI trading with automated risk control, adjusting exposure while maintaining strict risk limits.
NeuraAlgo - Market DynamicsNeuraAlgo – Market Dynamics
Simplyfying the Market Dynamics
Unlock the complexity of financial markets with NeuraAlgo – Market Dynamics. Designed for traders and investors alike, this intelligent tool distills the chaos of price movements, volume fluctuations, and trend directions into clear, actionable insights. With advanced algorithms working behind the scenes, it simplifies market dynamics so you can focus on making informed decisions, spotting opportunities, and managing risk with confidence.
Behind this simple overlay lies a powerful, complex algorithm.
Main Settings -Main Algorithm
Timeframe – Choose the chart timeframe that the indicator will analyze. It adapts the calculations to the selected interval for precise market insights.
Preset – Select the operating mode:
Main Trend: Focuses on the dominant market trend.
Multi Trend: Analyzes multiple trend layers for a broader perspective.
Sensitivity – Adjusts the indicator’s responsiveness to price changes. Higher values make the system more reactive to market fluctuations, while lower values smooth out minor noise.
Smooth Tuner – Controls the smoothing of the underlying calculations, helping to reduce false signals and provide cleaner trend visualization.
Orderflow Statistics – Toggle to display detailed order flow statistics directly on the chart for deeper market analysis.
Performance Statistics – Toggle to enable backtesting tables, showing historical performance metrics of the indicator for strategy evaluation.
2.Art Settings -Change Visuals
Color Scheme – Select a pre-defined visual theme for your charts:
Bright Light – High-contrast, vibrant colors for maximum clarity.
Freezer Mode – Cool-toned palette for calm, visually comfortable analysis.
Standard Mode – Balanced, neutral colors for everyday use.
Delta Mode – Highlights key differences and movements with distinct colors.
Custom – Fully customize the colors of bullish, bearish, and range elements.
Green / Red / Range (Custom Colors) – When “Custom” is selected, these options allow you to define the colors for bullish (Green), bearish (Red), and neutral/range areas (Range) according to your preference.
Candle Coloring Type – Choose how candles are highlighted based on market signals:
Confirmation Simple – Basic signal-based coloring for clear, direct visualization.
Confirmation Gradient – Smooth gradient-based coloring for more dynamic and aesthetic signal representation.
3.Dashboard -Market Statistics
The Dashboard provides a compact, at-a-glance overview of key market conditions and indicator metrics, helping traders make faster and more informed decisions.
Functionality & Layout – The dashboard dynamically displays multiple sections:
Optimal Scale ⚖️ – Shows key market scaling metrics like volatility for better decision-making.
Risk Manager 📊 – Indicates the active risk management strategy (e.g., Risk-Reward, Partial Exits, or Trailing Stop Loss).
Orderflow Statistics 📈 – Displays market sentiment, footprint strength, and delta trends for precise order flow analysis.
Market Status 🌐 – Highlights current trend conditions and trend strength across different timeframes.
Bias Scores 🎯 – Provides trend strength percentages across multiple timeframes (5min, 15min, 30min, 1H, 4H, 1D) to quickly gauge market bias.
Backtest Performance -A summary panel showing the overall performance of the strategy.
Deposit -The starting capital used for backtesting.
Win Trades -Total number of profitable trades.
Winrate -Percentage of winning trades out of all trades.
Max DD -Maximum drawdown — the largest peak-to-trough loss.
PnL -Net profit or loss generated by the strategy.
Return -Percentage growth of the account during the test.
Profit Factor -Ratio of total profits to total losses.
The dashboard uses color-coded indicators (green for bullish, red for bearish, yellow for neutral) and merged cells for a clean and organized display.
It’s designed to simplify complex market dynamics into a visually intuitive interface, giving traders real-time insights without cluttering the chart.
4.Neura Engineering – Enhancements
This section provides advanced filtering options to fine-tune market analysis, reduce noise, and highlight meaningful trends.
Noise Filter – Smoothens minor price fluctuations to reduce false signals.Noise Sensitivity helps Adjust how aggressively the filter suppresses noise.
Gap Filter – Detects and smooths price gaps to improve trend clarity.Gap Sensitivity helps Controls the responsiveness of the gap filter.
Range Filter – Filters out small-range price movements to focus on significant market swings.helps Adjusts how tightly the filter defines meaningful ranges.
Volatility Filter – Highlights periods of high market volatility while filtering less active periods.helps Sets the threshold for what constitutes high volatility.
Trend Filter – Focuses analysis on strong trends by filtering out weaker signals.helps Determines the minimum strength required for a trend to be considered valid.helps Uses Average True Range to dynamically adjust trend filtering based on market movement.
These enhancement tools allow traders to customize signal clarity, reduce noise, and focus on meaningful market dynamics, creating a cleaner and more actionable charting experience.
5.Neura Overlays – Market Visual Enhancements
These overlays add visual intelligence to your chart, helping you instantly understand trend behavior, sentiment shifts, and price structure.
Reversal Cloud - Highlights potential reversal zones where price may change direction.Reversal Sensitivity helps Controls how quickly the cloud reacts to shifts in momentum.
Sentiment Cloud -Maps the underlying market mood—bullish, bearish, or neutral—directly onto the chart.Sentiment Sensitivity helps Adjusts how sensitive the sentiment readings are.
Price Steps -Draws structured “price steps” that reveal hidden market rhythm, impulse strength, and trend flow.Price Step Depth helps Determines the size and spacing of these steps.
Market Bias -Shows directional bias based on deeper trend pressure and underlying orderflow.Bias Sensitivity helps Controls how strict or lenient the bias detection is.
6.Risk Management Settings – Intelligent Trade Control
This module controls how your trades manage themselves after entry. Choose between traditional Risk/Reward exits, partial profit-taking, or an adaptive trailing stop system.
RiskReward
A classic risk-to-reward exit system.You set a risk multiple (e.g., 1:2), and the indicator automatically sets one Stop Loss and one Take Profit based on that ratio.
Partials
Scales out your position at multiple take-profit levels.Instead of closing the entire trade at once, the system secures profits gradually at TP1, TP2, and TP3 while keeping the remainder running.
TrailingStop
Uses a dynamic stop loss that follows price as it moves in your favor.There is no fixed Take Profit; instead, the trailing stop locks in profit and exits the trade automatically when momentum reverses.
7.Automatic Alert System
This is the System that organizes all settings related to the automatic webhook alert creator inside the indicator.
Rule No. 1 is never lose money. Rule No. 2 is never forget Rule No. 1.
Warren Buffet
NeuraAlgo – Market Dynamics transforms complex market behavior into clear, actionable insights for smarter trading decisions.
Breakout Finder By Hitesh Somani(Aapkainvestments)Breakout Finder By Hitesh Somani(Aapkainvestments)
Welcome to one of the most powerful momentum reversal indicators designed specifically for traders looking to catch high-probability reversal signals with precision and confidence.
✅ This indicator gives high-probability SELL signals based on RSI momentum and Bollinger Band breakouts.
✅ It filters noise and avoids over-trading, focusing only on setups that meet high-conviction criteria with built-in back-to-back signal prevention.
✅ Works best on 5-minute and 15-minute timeframes in trending markets.
✅ Features dual-mode operation: RSI Confirmation mode for momentum validation or Pure Price Action mode for breakout detection.
✅ Automatically calculates Entry, Stop Loss, and Target levels with customizable Risk:Reward ratio (default 1:1.5).
Suggested Rules to Use This Indicator Effectively
Follow these rules and you'll see the accuracy improve significantly:
• Best trading hours: 9:30 AM to 2:30 PM – Avoid trades in the last hour of market
• Entry Strategy: Enter short when the low of the signal candle breaks on the next candle
• Stop Loss: Automatically set at the higher of signal candle high or previous candle high
• Target: Default 1:1.5 Risk:Reward ratio (customizable up to 1:10)
• Trail Stop Loss: After reaching 1:1 risk:reward, consider trailing your stop to lock in profits
• If a new signal comes while an earlier trade is running, the indicator automatically prevents back-to-back signals (shows blue circle for filtered signals)
• Use RSI Confirmation mode for higher accuracy in trending markets, or disable it for pure price action setups
• Monitor the Intelligence Dashboard for real-time RSI, Breakout status, Entry, SL, and Target levels
These simple rules, when followed with discipline, can help you extract consistent profits from momentum reversals and breakout pullback trades.
This isn't just another Indicator — it's built in-house by Hitesh Somani, tested on real price action, and trusted by the Aapka Investment community.
Disclaimer:
This content is purely for educational purposes.
We are not responsible for any financial profits or losses resulting from use of this tool or content.
Breakout Finder By Hitesh Somani(Aapkainvestments)Breakout Finder By Hitesh Somani(Aapkainvestments)
Welcome to one of the most powerful momentum reversal indicators designed specifically for traders looking to catch high-probability reversal signals with precision and confidence.
✅ This indicator gives high-probability SELL signals based on RSI momentum and Bollinger Band breakouts.
✅ It filters noise and avoids over-trading, focusing only on setups that meet high-conviction criteria with built-in back-to-back signal prevention.
✅ Works best on 5-minute and 15-minute timeframes in trending markets.
✅ Features dual-mode operation: RSI Confirmation mode for momentum validation or Pure Price Action mode for breakout detection.
✅ Automatically calculates Entry, Stop Loss, and Target levels with customizable Risk:Reward ratio (default 1:1.5).
Suggested Rules to Use This Indicator Effectively
Follow these rules and you'll see the accuracy improve significantly:
• Best trading hours: 9:30 AM to 2:30 PM – Avoid trades in the last hour of market
• Entry Strategy: Enter short when the low of the signal candle breaks on the next candle
• Stop Loss: Automatically set at the higher of signal candle high or previous candle high
• Target: Default 1:1.5 Risk:Reward ratio (customizable up to 1:10)
• Trail Stop Loss: After reaching 1:1 risk:reward, consider trailing your stop to lock in profits
• If a new signal comes while an earlier trade is running, the indicator automatically prevents back-to-back signals (shows blue circle for filtered signals)
• Use RSI Confirmation mode for higher accuracy in trending markets, or disable it for pure price action setups
• Monitor the Intelligence Dashboard for real-time RSI, Breakout status, Entry, SL, and Target levels
These simple rules, when followed with discipline, can help you extract consistent profits from momentum reversals and breakout pullback trades.
This isn't just another Indicator — it's built in-house by Hitesh Somani, tested on real price action, and trusted by the Aapka Investment community.
Disclaimer:
This content is purely for educational purposes.
We are not responsible for any financial profits or losses resulting from use of this tool or content.
Breakout Finder By Hitesh Somani(Aapkainvestments)Breakout Finder By Hitesh Somani(Aapkainvestments)
Welcome to one of the most powerful momentum reversal indicators designed specifically for traders looking to catch high-probability reversal signals with precision and confidence.
✅ This indicator gives high-probability SELL signals based on RSI momentum and Bollinger Band breakouts.
✅ It filters noise and avoids over-trading, focusing only on setups that meet high-conviction criteria with built-in back-to-back signal prevention.
✅ Works best on 5-minute and 15-minute timeframes in trending markets.
✅ Features dual-mode operation: RSI Confirmation mode for momentum validation or Pure Price Action mode for breakout detection.
✅ Automatically calculates Entry, Stop Loss, and Target levels with customizable Risk:Reward ratio (default 1:1.5).
Suggested Rules to Use This Indicator Effectively
Follow these rules and you'll see the accuracy improve significantly:
• Best trading hours: 9:30 AM to 2:30 PM – Avoid trades in the last hour of market
• Entry Strategy: Enter short when the low of the signal candle breaks on the next candle
• Stop Loss: Automatically set at the higher of signal candle high or previous candle high
• Target: Default 1:1.5 Risk:Reward ratio (customizable up to 1:10)
• Trail Stop Loss: After reaching 1:1 risk:reward, consider trailing your stop to lock in profits
• If a new signal comes while an earlier trade is running, the indicator automatically prevents back-to-back signals (shows blue circle for filtered signals)
• Use RSI Confirmation mode for higher accuracy in trending markets, or disable it for pure price action setups
• Monitor the Intelligence Dashboard for real-time RSI, Breakout status, Entry, SL, and Target levels
These simple rules, when followed with discipline, can help you extract consistent profits from momentum reversals and breakout pullback trades.
This isn't just another Indicator — it's built in-house by Hitesh Somani, tested on real price action, and trusted by the Aapka Investment community.
Disclaimer:
This content is purely for educational purposes.
We are not responsible for any financial profits or losses resulting from use of this tool or content.
Breakout Finder By Hitesh Somani(Aapkainvestments)Breakout Finder By Hitesh Somani(Aapkainvestments)
Welcome to one of the most powerful momentum reversal indicators designed specifically for traders looking to catch high-probability reversal signals with precision and confidence.
✅ This indicator gives high-probability SELL signals based on RSI momentum and Bollinger Band breakouts.
✅ It filters noise and avoids over-trading, focusing only on setups that meet high-conviction criteria with built-in back-to-back signal prevention.
✅ Works best on 5-minute and 15-minute timeframes in trending markets.
✅ Features dual-mode operation: RSI Confirmation mode for momentum validation or Pure Price Action mode for breakout detection.
✅ Automatically calculates Entry, Stop Loss, and Target levels with customizable Risk:Reward ratio (default 1:1.5).
Suggested Rules to Use This Indicator Effectively
Follow these rules and you'll see the accuracy improve significantly:
• Best trading hours: 9:30 AM to 2:30 PM – Avoid trades in the last hour of market
• Entry Strategy: Enter short when the low of the signal candle breaks on the next candle
• Stop Loss: Automatically set at the higher of signal candle high or previous candle high
• Target: Default 1:1.5 Risk:Reward ratio (customizable up to 1:10)
• Trail Stop Loss: After reaching 1:1 risk:reward, consider trailing your stop to lock in profits
• If a new signal comes while an earlier trade is running, the indicator automatically prevents back-to-back signals (shows blue circle for filtered signals)
• Use RSI Confirmation mode for higher accuracy in trending markets, or disable it for pure price action setups
• Monitor the Intelligence Dashboard for real-time RSI, Breakout status, Entry, SL, and Target levels
These simple rules, when followed with discipline, can help you extract consistent profits from momentum reversals and breakout pullback trades.
This isn't just another Indicator — it's built in-house by Hitesh Somani, tested on real price action, and trusted by the Aapka Investment community.
Disclaimer:
This content is purely for educational purposes.
We are not responsible for any financial profits or losses resulting from use of this tool or content.
KDH v2.0 (English) Trading Strategy Indicator# KDH Diamond Strategy v3.3 - TradingView Description
---
## 🇬🇧 ENGLISH VERSION
### 📊 KDH Diamond Strategy v3.3
**Professional High-Leverage Futures Trading System**
---
#### 🎯 Overview
KDH Diamond is an advanced algorithmic trading strategy specifically optimized for **1-hour timeframe futures trading** with high-leverage environments. Built on proven institutional concepts including Fair Value Gaps (FVG), Volume Profile analysis, and multi-layered confirmation filters, this strategy delivers consistent results without repainting.
---
#### ✨ Key Features
**🔥 Optimized for 1H Timeframe**
- Extensively backtested across multiple markets
- Highest profit rate achieved on 1-hour charts
- Perfect for swing traders and active position management
**🎨 No Repainting - 100% Reliable Signals**
- All signals are confirmed and locked on bar close
- What you see in backtest is what you get in real-time
- Complete transparency with `calc_on_order_fills=true`
**💎 Automated Risk Management**
- Automatic Stop Loss and Take Profit calculation
- Intelligent SL/TP placement based on market structure
- Built-in position sizing controls (adjustable % per trade)
**🚀 High-Leverage Futures Optimized**
- Designed specifically for leveraged futures trading
- Risk-reward ratios calibrated for 10-20x leverage environments
- Precision entry timing to maximize profit potential
**🔄 Advanced Position Management**
- Automatic reversal entries at TP levels
- Multiple re-entry opportunities per signal
- Dynamic trade management based on market conditions
**🎛️ Multi-Layer Confirmation System**
- **SMA50 Filter (1H)**: Trend alignment confirmation
- **Momentum Filter**: KAMA-based directional strength
- **RSI Divergence Filter**: Reversal detection at extremes
- **Volume Profile Filter**: Order flow and liquidity analysis
---
#### 📈 How It Works
**Signal Generation**
The strategy identifies **Inverted Fair Value Gaps (IFVG)** - institutional order blocks that signal high-probability reversal or continuation zones. Each signal is validated through multiple confirmation filters before execution.
**Entry Logic**
- Limit orders placed at optimal price levels within FVG zones
- Price must touch the midline and close in favorable direction
- All filters must align for signal activation
**Exit Strategy**
- Stop Loss: Placed at the next opposing FVG level
- Take Profit: Calculated using nearest FVG in profit direction
- Automatic reversal entry option at TP levels
**Visual System**
- Color-coded boxes show FVG zones (green/red)
- Real-time position tracking with entry, SL, and TP lines
- Comprehensive dashboard displaying filter status and P&L
---
#### 🎯 Who Is This For?
✅ **Perfect For:**
- Futures traders using 10-20x leverage
- Traders seeking systematic, rule-based strategies
- Those who want automated SL/TP management
- 1-hour chart swing traders
- Traders familiar with institutional concepts (FVG, order flow)
❌ **Not Ideal For:**
- Scalpers (designed for 1H timeframe)
- Spot-only traders (optimized for leveraged futures)
- Beginners unfamiliar with leverage risks
- Set-and-forget automated trading (requires monitoring)
---
#### 📊 What You Get
**Strategy Features:**
- Complete FVG detection and inversion system
- 4 professional-grade confirmation filters
- Automated SL/TP calculation and placement
- TP reversal entry system
- Volume Profile sentiment analysis
- Real-time position tracking dashboard
- Webhook alert support for automation
- Clean, organized code with detailed comments
**Visual Components:**
- FVG boxes with inversion coloring
- Volume Profile sentiment boxes (optional)
- Entry, SL, and TP lines for each position
- Position status table with live P&L
- Filter status dashboard
---
#### ⚙️ Customization Options
**Adjustable Filters (User Control):**
- SMA50 Filter (1H) - Trend alignment ON/OFF
- Momentum Filter - Directional strength ON/OFF
- RSI Divergence Filter - Reversal detection ON/OFF
- Volume Profile Filter - Order flow analysis ON/OFF
**Fixed Parameters (Optimized):**
- All core parameters are pre-optimized for 1H timeframe
- Ensures consistent performance without overwhelming options
- Prevents parameter over-fitting by users
---
#### ⚠️ Important Disclaimers
**Risk Warning:**
This strategy is designed for leveraged futures trading, which carries substantial risk. High leverage (10-20x) can result in rapid losses. Only trade with capital you can afford to lose.
**Performance:**
Past performance does not guarantee future results. Always backtest on your specific market and timeframe before live trading.
**Usage:**
This is a trading tool, not financial advice. Users are responsible for their own trading decisions and risk management.
**Requirements:**
- Understanding of futures trading and leverage
- Familiarity with Fair Value Gaps and institutional concepts
- Ability to monitor positions (not fully automated)
- Proper risk management discipline
---
#### 🔧 Technical Specifications
- **Platform:** TradingView Pine Script v5
- **Type:** Strategy (with backtesting capabilities)
- **Timeframe:** Optimized for 1H (works on other timeframes)
- **Markets:** Any futures market (crypto, stocks, indices, forex)
- **Repainting:** NO - All signals are final on bar close
- **Alerts:** Full webhook support for automation
- **Default Settings:** 10% position size, pyramiding enabled (max 10 positions)
---
#### 📞 Support
Questions about setup or usage? Contact the author through TradingView messages.
**Note:** This indicator is for educational and trading tool purposes only. The author is not responsible for trading losses. Trade responsibly and within your risk tolerance.
Risk & Position DashboardRisk & Position Dashboard
Overview
The Risk & Position Dashboard is a comprehensive trading tool designed to help traders calculate optimal position sizes, manage risk, and visualize potential profit/loss scenarios before entering trades. This indicator provides real-time calculations for position sizing based on account size, risk percentage, and stop-loss levels, while displaying multiple take-profit targets with customizable risk-reward ratios.
Key Features
Position Sizing & Risk Management:
Automatic position size calculation based on account size and risk percentage
Support for leveraged trading with maximum leverage limits
Fractional shares support for brokers that allow partial share trading
Real-time fee calculation including entry, stop-loss, and take-profit fees
Break-even price calculation including trading fees
Multi-Target Profit Management:
Support for up to 3 take-profit levels with individual portion allocations
Customizable risk-reward ratios for each take-profit target
Visual profit/loss zones displayed as colored boxes on the chart
Individual profit calculations for each take-profit level
Visual Dashboard:
Clean, customizable table display showing all key metrics
Configurable label positioning and styling options
Real-time tracking of whether stop-loss or take-profit levels have been reached
Color-coded visual zones for easy identification of risk and reward areas
Advanced Configuration:
Comprehensive input validation and error handling
Support for different chart timeframes and symbols
Customizable colors, fonts, and display options
Hide/show individual data fields for personalized dashboard views
How to Use
Set Account Parameters: Configure your account size, maximum risk percentage per trade, and trading fees in the "Account Settings" section.
Define Trade Setup: Use the "Entry" time picker to select your entry point on the chart, then input your entry price and stop-loss level.
Configure Take Profits: Set your desired risk-reward ratios and portion allocations for each take-profit level. The script supports 1-3 take-profit targets.
Analyze Results: The dashboard will automatically calculate and display position size, number of shares, potential profits/losses, fees, and break-even levels.
Visual Confirmation: Colored boxes on the chart show profit zones (green) and loss zones (red), with lines extending to current price levels.
Reset Entry and SL:
You can easily reset the entry and stop-loss by clicking the "Reset points..." button from the script's "More" menu.
This is useful if you want to quickly clear your current trade setup and start fresh without manually adjusting the points on the chart.
Calculations
The script performs sophisticated calculations including:
Position size based on risk amount and price difference between entry and stop-loss
Leverage requirements and position amount calculations
Fee-adjusted risk-reward ratios for realistic profit expectations
Break-even price including all trading costs
Individual profit calculations for partial position closures
Detailed Take-Profit Calculation Formula:
The take-profit prices are calculated using the following mathematical formula:
// Core variables:
// risk_amount = account_size * (risk_percentage / 100)
// total_risk_per_share = |entry_price - sl_price| + (entry_price * fee%) + (sl_price * fee%)
// shares = risk_amount / total_risk_per_share
// direction_factor = 1 for long positions, -1 for short positions
// Take-profit calculation:
net_win = total_risk_per_share * shares * RR_ratio
tp_price = (net_win + (direction_factor * entry_price * shares) + (entry_price * fee% * shares)) / (direction_factor * shares - fee% * shares)
Step-by-step example for a long position (based on screenshot):
Account Size: 2,000 USDT, Risk: 2% = 40 USDT
Entry: 102,062.9 USDT, Stop Loss: 102,178.4 USDT, Fee: 0.06%
Risk per share: |102,062.9 - 102,178.4| + (102,062.9 × 0.0006) + (102,178.4 × 0.0006) = 115.5 + 61.24 + 61.31 = 238.05 USDT
Shares: 40 ÷ 238.05 = 0.168 shares (rounded to 0.17 in display)
Position Size: 0.17 × 102,062.9 = 17,350.69 USDT
Position Amount (with 9x leverage): 17,350.69 ÷ 9 = 1,927.85 USDT
For 2:1 RR: Net win = 238.05 × 0.17 × 2 = 80.94 USDT
TP1 price = (80.94 + (1 × 102,062.9 × 0.17) + (102,062.9 × 0.0006 × 0.17)) ÷ (1 × 0.17 - 0.0006 × 0.17) = 101,464.7 USDT
For 3:1 RR: TP2 price = 101,226.7 USDT (following same formula with RR=3)
This ensures that after accounting for all fees, the actual risk-reward ratio matches the specified target ratio.
Risk Management Features
Maximum Trade Amount: Optional setting to limit position size regardless of account size
Leverage Limits: Built-in maximum leverage protection
Fee Integration: All calculations include realistic trading fees for accurate expectations
Validation: Automatic checking that take-profit portions sum to 100%
Historical Tracking: Visual indication when stop-loss or take-profit levels are reached (within last 5000 bars)
Understanding Max Trade Amount - Multiple Simultaneous Trades:
The "Max Trade Amount" feature is designed for traders who want to open multiple positions simultaneously while maintaining proper risk management. Here's how it works:
Key Concept:
- Risk percentage (2%) always applies to your full Account Size
- Max Trade Amount limits the capital allocated per individual trade
- This allows multiple trades with full risk on each trade
Example from Screenshot:
Account Size: 2,000 USDT
Max Trade Amount: 500 USDT
Risk per Trade: 2% × 2,000 = 40 USDT per trade
Stop Loss Distance: 0.11% from entry
Result: Position Size = 17,350.69 USDT with 35x leverage
Total Risk (including fees): 40.46 USDT
Multiple Trades Strategy:
With this setup, you can open:
Trade 1: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 2: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 3: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 4: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Total Portfolio Exposure:
- 4 simultaneous trades = 4 × 495.73 = 1,982.92 USDT position amount
- Total risk exposure = 4 × 40 = 160 USDT (8% of account)
NSE Pairs Screener-20 pair This advanced Pine Script screener is designed for pairs trading on the National Stock Exchange (NSE) of India. It simultaneously monitors up to 20 stock pairs, calculates key statistical metrics, and provides real-time trading signals based on mean reversion strategies.
Key Features
1. Multi-Pair Analysis
Monitor up to 20 stock pairs simultaneously
Customizable number of pairs to display (1-20)
Pre-configured with popular NSE stock pairs across various sectors
2. Statistical Calculations
Correlation Analysis: Measures the strength of relationship between paired stocks
Z-Score Calculation: Identifies extreme deviations from the mean spread
Cointegration Score: Validates long-term equilibrium relationships
Dynamic Hedge Ratio: Calculates optimal position sizing between pairs
3. Trading Signals
Long Signal: When spread is oversold (Z-score ≤ -2.0)
Short Signal: When spread is overbought (Z-score ≥ 2.0)
Exit Signal: When spread returns to mean (Z-score ≤ 0.5)
Watch Status: Pairs requiring monitoring
4. Automated Alert System
Single comprehensive alert for all qualifying pairs
Customizable alert thresholds for correlation, Z-score, and cointegration
On-chart visual alerts with detailed information
Notification support via TradingView's alert system
5. Visual Display
Clean, color-coded table interface
Adjustable table position (9 positions available)
Highlighted trading opportunities
Real-time metric updates
Configuration Parameters
Screener Settings
Number of Pairs to Display: 1-20 pairs (default: 20)
Calculation Parameters
Parameter Default Range Description Correlation Lookback Period25220-500Historical period for correlation calculation Z-Score SMA Length205-100Moving average length for spread calculation Hedge Ratio Length205-100Period for hedge ratio smoothing Minimum Correlation0.70.5-1.0Threshold for pair validation
Alert Settings
Parameter Default Range Description Alert Correlation Threshold0.70.5-1.0Minimum correlation for alerts Alert Z-Score Threshold2.01.0-3.0Z-score trigger level Alert Cointegration Threshold90%80-99%Minimum cointegration percentage
Display Settings
Table Position: 9 position options (default: middle_center)
Table Background Color: Customizable
Highlight Opportunities: Toggle visual highlighting of trading signals
Pre-Configured Stock Pairs
The script includes 20 carefully selected NSE pairs across various sectors:
Financial Services
RELIANCE / ONGC
HDFCBANK / ICICIBANK
SBIN / PNB
KOTAKBANK / AXISBANK
BAJFINANCE / BAJAJFINSV
Information Technology
TCS / INFY
WIPRO / HCLTECH
TECHM / LTIM
Consumer Goods
ITC / HINDUNILVR
TITAN / TANLA
ASIANPAINT / BERGEPAINT
Telecommunications
BHARTIARTL / IDEA
Automotive
MARUTI / TATAMOTORS
Infrastructure & Industrials
LT / UBL
POWERGRID / NTPC
Pharmaceuticals
SUNPHARMA / CIPLA
DIVISLAB / DRREDDY
Materials
ULTRACEMCO / ACC
UPL / JSWSTEEL
Energy
ADANIENT / ADANIPOWER
🎨 Color-Coded Metrics
Correlation
🟢 Green: ≥ Minimum threshold (strong relationship)
🔴 Red: < Minimum threshold (weak relationship)
Z-Score
🔴 Red: |Z| ≥ 2.0 (extreme deviation - trading opportunity)
🟡 Yellow: 0.5 < |Z| < 2.0 (normal range - watch)
🟢 Green: |Z| ≤ 0.5 (mean reversion - exit signal)
Cointegration
🟢 Green: ≥ 70% (strong cointegration)
🟡 Yellow: 50-70% (moderate cointegration)
🔴 Red: < 50% (weak cointegration)
Status
🟢 Green: Long (buy spread)
🔴 Red: Short (sell spread)
🔵 Blue: Exit (close positions)
⚪ Gray: Watch (monitor)
Validation
🟢 Green: Pass (meets all criteria)
🔴 Red: Fail (doesn't meet criteria)
How It Works
1. Data Collection
The script fetches real-time closing prices for all 20 stock pairs from NSE.
2. Statistical Analysis
For each pair, the script calculates:
Log Returns: Natural logarithm of price changes
Correlation: Pearson correlation coefficient between returns
Hedge Ratio: Price ratio smoothed over specified period
Spread: Price difference adjusted by hedge ratio
Z-Score: Standardized spread deviation
3. Signal Generation
Based on Z-score thresholds:
Z ≥ 2.0: Short spread (short overvalued, long undervalued)
Z ≤ -2.0: Long spread (long overvalued, short undervalued)
|Z| ≤ 0.5: Exit positions (spread reverted to mean)
4. Validation
Pairs must meet criteria:
Correlation ≥ minimum threshold
Valid trading signal (entry or exit)
5. Alert Triggering
Alerts fire when pairs simultaneously meet:
Correlation ≥ alert threshold
|Z-score| ≥ alert threshold
Cointegration ≥ alert threshold
Alert System
The script features a single comprehensive alert that monitors all pairs:
Consolidated Notifications: One alert for all qualifying pairs
Detailed Information: Includes pair names, signal type, and key metrics
Visual Indicators: Red label on chart with complete details
Customizable Thresholds: Adjust sensitivity based on trading style
Alert Message Format
PAIR TRADING OPPORTUNITIES
Pair X: STOCK1/STOCK2
Signal: LONG/SHORT Spread
Z-Score: X.XX
Correlation: X.XXX
Cointegration: XX.X%
Trading Strategy Guide
Entry Rules
Long Spread (Z-score ≤ -2.0):
Buy Stock Y
Sell Stock X (in ratio of hedge ratio)
Short Spread (Z-score ≥ 2.0):
Sell Stock Y
Buy Stock X (in ratio of hedge ratio)
Exit Rules
Close positions when Z-score returns to ±0.5
Set stop-loss at Z-score ±3.0 (extreme deviations)
Risk Management
Only trade pairs with correlation ≥ 0.7
Prefer cointegration scores ≥ 90%
Monitor hedge ratio changes
Diversify across multiple pairs
Customization Options
Adding New Pairs
Simply modify the stock symbol inputs in the respective pair groups (Pair 1 through Pair 20).
Adjusting Sensitivity
Conservative: Increase Z-score threshold to 2.5-3.0
Aggressive: Decrease Z-score threshold to 1.5-2.0
Long-term: Increase lookback period to 500
Short-term: Decrease lookback period to 50-100
Visual Preferences
Change table position to suit your layout
Adjust background colors for better contrast
Toggle opportunity highlighting on/off
Technical Notes
Calculation Method
Uses logarithmic returns for correlation (better statistical properties)
Z-score normalized by standard deviation
Cointegration approximated using correlation strength
Hedge ratio smoothed using simple moving average
Performance Considerations
Calculations update on every bar close
Table displays only on the last bar
Alert checks occur at bar close
Maximum 500 labels supported (more than sufficient)
Limitations
Does not account for transaction costs
Assumes linear relationships between pairs
Historical correlation doesn't guarantee future behaviour
Requires sufficient liquidity in both stocks
Best Practices
Back test Thoroughly: Test parameters on historical data before live trading
Monitor Regularly: Check pairs daily for validation changes
Diversify: Trade multiple pairs to reduce risk
Stay Informed: Be aware of corporate actions, news affecting pairs
Adjust Parameters: Optimize for current market conditions
Use Stop-Losses: Protect against extreme divergences
Track Performance: Maintain trading journal for continuous improvement
Indicator Information
Version: Pine Script v5
Overlay: False (separate pane)
Max Labels: 500
Update Frequency: Every bar close
Compatible Timeframes: All (works best on daily or higher)
Getting Started
Add to Chart: Apply indicator to any NSE stock
Configure Pairs: Adjust stock symbols as needed
Set Parameters: Customize calculation and alert settings
Create Alert: Set up Trading View alert for notifications
Monitor: Watch the table for trading opportunities
Execute: Trade based on validated signals
📞Support & Updates
This script is designed for educational and research purposes. Always:
Conduct thorough back testing
Use proper risk management
Consider transaction costs
Consult with financial advisors
Trade responsibly
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always conduct your own research and risk assessment before trading.
Smart Structure Pro - Market Structure & Smart Money Concepts═══════════════════════════════════════════════════════════════════════════════
SMART STRUCTURE PRO
═══════════════════════════════════════════════════════════════════════════════
A comprehensive market structure analysis tool that identifies institutional trading
patterns and smart money concepts for improved trade timing and decision-making.
═══════════════════════════════════════════════════════════════════════════════
📊 WHAT IT DOES
═══════════════════════════════════════════════════════════════════════════════
This indicator automatically detects and visualizes key market structure elements:
🔹 BOS (Break of Structure)
- Identifies trend continuation patterns
- Marks when price breaks above previous highs (bullish) or below previous lows (bearish)
- Confirms trend strength and momentum
🔹 CHoCH (Change of Character)
- Detects potential trend reversals
- Alerts when market structure shifts from bullish to bearish or vice versa
- Helps identify early reversal opportunities
🔹 Order Blocks
- Highlights institutional entry zones
- Identifies the last opposite candle before a structure break
- Shows areas where smart money likely entered positions
🔹 Fair Value Gaps (FVG)
- Detects price imbalances and inefficiencies
- Shows areas where price moved rapidly leaving gaps
- Often act as support/resistance when retested
🔹 Liquidity Zones
- Marks swing high and low levels
- Identifies areas where stop losses likely cluster
- Shows potential stop hunt and liquidity grab zones
═══════════════════════════════════════════════════════════════════════════════
🎯 HOW TO USE
═══════════════════════════════════════════════════════════════════════════════
BULLISH SETUP:
1. Wait for Bullish CHoCH (trend reversal signal) or BOS ↑ (continuation)
2. Look for price to pull back into an Order Block or Fair Value Gap
3. Enter long when price bounces from these zones
4. Place stop loss below the Order Block
5. Target the next liquidity zone or resistance level
BEARISH SETUP:
1. Wait for Bearish CHoCH (trend reversal signal) or BOS ↓ (continuation)
2. Look for price to retrace into an Order Block or Fair Value Gap
3. Enter short when price rejects from these zones
4. Place stop loss above the Order Block
5. Target the next liquidity zone or support level
DASHBOARD INTERPRETATION:
• Trend: Current market direction (Bullish/Bearish)
• Volume: Confirmation strength (High volume = stronger signals)
• Signal: Latest structure break detected
• Key High/Low: Critical levels for the current trend
• Position: Price location (Premium = expensive, Discount = cheap)
═══════════════════════════════════════════════════════════════════════════════
⚙️ SETTINGS GUIDE
═══════════════════════════════════════════════════════════════════════════════
STRUCTURE DETECTION:
• Pivot Length (Default: 10)
- Lower values = More signals but potentially weaker
- Higher values = Fewer signals but stronger/more reliable
- Recommended: 8-12 for intraday, 10-15 for higher timeframes
• Structure Line Extension
- Visual preference for how far lines extend
- Does not affect signal detection
SMART MONEY CONCEPTS:
• Order Block Extension: How long OB boxes remain visible
• FVG Extension: How long gap boxes remain visible
• Min FVG Size: Filter out small gaps (0 = show all)
- Set to 10-20% to reduce noise
- Set to 0 to see all gaps
VOLUME FILTER:
• Volume Confirmation (Recommended: ON)
- Filters weak signals without volume support
- Reduces false breakouts
• Volume Multiplier (Default: 1.5)
- Higher = Stricter filtering (fewer but stronger signals)
- Lower = More signals (but may include weak ones)
DISPLAY:
• Dashboard: Toggle information panel
• Trend Background: Subtle color tint showing current trend
• Dashboard Position: Choose corner placement
═══════════════════════════════════════════════════════════════════════════════
🔔 ALERTS
═══════════════════════════════════════════════════════════════════════════════
Available alert conditions:
✓ Bullish BOS - Uptrend continuation confirmed
✓ Bearish BOS - Downtrend continuation confirmed
✓ Bullish CHoCH - Reversal to uptrend detected
✓ Bearish CHoCH - Reversal to downtrend detected
✓ Structure Break - Any significant market structure change
To set up alerts:
1. Click the "⏰" alert icon
2. Select "Smart Structure Pro"
3. Choose your desired condition
4. Configure notification method
5. Click "Create"
═══════════════════════════════════════════════════════════════════════════════
⚠️ IMPORTANT DISCLOSURES
═══════════════════════════════════════════════════════════════════════════════
REPAINTING BEHAVIOR:
• Pivot points WILL repaint until confirmed (this is by design and unavoidable)
• Structure breaks (BOS/CHoCH) use CLOSED candles and do NOT repaint after confirmation
• Order Blocks and FVGs are drawn on confirmed signals and do NOT repaint
• All signals wait for candle close before triggering
BEST PRACTICES:
• Use on higher timeframes (15min+) for more reliable signals
• Combine with other analysis (support/resistance, volume profile, etc.)
• Wait for candle close confirmation before acting on signals
• Use proper risk management - this is not a standalone trading system
• Backtest on your preferred instrument and timeframe
PERFORMANCE:
• Limited to 100 boxes, 100 lines, 100 labels for optimal performance
• Older objects automatically removed as new ones appear
• Works on all markets (Forex, Crypto, Stocks, Indices, Commodities)
═══════════════════════════════════════════════════════════════════════════════
📚 CONCEPTS EXPLAINED
═══════════════════════════════════════════════════════════════════════════════
MARKET STRUCTURE:
Market structure refers to the pattern of price movements creating swing highs
and lows. Understanding structure helps identify trend direction and potential
reversal points.
SMART MONEY CONCEPTS:
These are trading techniques based on tracking institutional order flow and
understanding where large players (banks, funds, institutions) enter and exit
positions.
ORDER BLOCKS:
The last opposing candle before a strong directional move. Institutions often
leave unfilled orders in these zones, which can act as support/resistance when
price returns.
FAIR VALUE GAPS:
Areas where price moved so quickly that it left an imbalance. These gaps often
get "filled" as price returns to find equilibrium, creating trading opportunities.
═══════════════════════════════════════════════════════════════════════════════
🎓 EDUCATIONAL VALUE
═══════════════════════════════════════════════════════════════════════════════
This indicator helps traders:
✓ Understand market structure mechanics
✓ Identify institutional trading patterns
✓ Improve trade timing and entry precision
✓ Recognize trend continuation vs reversal
✓ Learn smart money concepts through visualization
═══════════════════════════════════════════════════════════════════════════════
📋 TECHNICAL DETAILS
═══════════════════════════════════════════════════════════════════════════════
• Version: 1.0.0
• Pine Script Version: 5
• Indicator Type: Overlay
• No Repainting: Structure breaks use confirmed candles
• Performance Optimized: Limited drawing objects
• Works On: All markets and timeframes
• Alerts: Yes, fully customizable
═══════════════════════════════════════════════════════════════════════════════
👤 AUTHOR
═══════════════════════════════════════════════════════════════════════════════
Created by: Zakaria Safri
Original Work: All code and concepts are original implementations
Based On: ICT (Inner Circle Trader) educational concepts
License: © 2024 Zakaria Safri - Personal Use Only
═══════════════════════════════════════════════════════════════════════════════
⚖️ DISCLAIMER
═══════════════════════════════════════════════════════════════════════════════
This indicator is for educational and informational purposes only. It does not
constitute financial advice. Trading involves substantial risk of loss. Past
performance does not guarantee future results. Always conduct your own research
and consult with a licensed financial advisor before making trading decisions.
The author is not responsible for any losses incurred from using this indicator.
═══════════════════════════════════════════════════════════════════════════════
If you find this indicator helpful, please:
👍 Like and favorite
⭐ Leave a review
📢 Share with other traders
💬 Comment with feedback or suggestions
Happy Trading! 📈
Yuki Leverage RR Calculator**YUKI LEVERAGE RR CALCULATOR**
A professional-grade risk/reward calculator for leveraged crypto or forex trades.
Instantly visualizes entry, stop loss, targets, leverage, and risk-to-reward ratios — helping you plan precise positions with confidence.
──────────────────────────────
**WHAT IT DOES**
Calculates position value, quantity, stop-loss price, liquidation estimate, and per-target profit.
Displays everything in an on-chart table with optional price tags and alerts.
──────────────────────────────
**KEY FEATURES**
• Long / Short toggle (only one active at a time)
• Leverage-aware position sizing based on Position Cost ($) and Leverage
• Dynamic Stop Loss: input % → auto price + $ risk
• Up to 3 Take-Profit Targets with scaling logic
• Instant R:R ratios per target
• Liquidation estimate (approximation only)
• ENTRY / SL / T1 / T2 / T3 / LIQ visual tags
• Dark/Light mode, adjustable table and tag size
• Built-in alerts for Targets and Stop Loss
──────────────────────────────
**INPUTS**
• Long or Short selection
• Entry Price, Stop Loss %
• Target 1 / Target 2 / Target 3 + Take Profit %
• Position Cost ($), Leverage
• Visual preferences: show/hide table, table corner, font size, tag offset, text size
──────────────────────────────
**TABLE OUTPUTS**
Position Info: Type, Entry, Position Cost, Leverage, Value
Risk Section: Stop Loss %, Stop Loss Price, Total Risk ($), Liquidation % & Price
Targets 1–3: Profit ($), R:R, Take Profit ($), Runner % or PnL
──────────────────────────────
**ALERTS**
• Target 1 Hit – when price crosses T1
• Target 2 Hit – when price crosses T2
• Target 3 Hit – when price crosses T3
• Stop Loss Hit – triggers based on direction
(Use TradingView Alerts → Condition → Indicator → select desired alert)
──────────────────────────────
**HOW TO USE**
1. Choose Long or Short
2. Enter Entry Price, Stop Loss %, Position Cost, and Leverage
3. Add Targets 1–3 with optional Take Profit %
4. Adjust visuals as desired
5. Monitor table + alerts for live trade planning
──────────────────────────────
**NOTES**
• Liquidation values are estimates only
• Fees, slippage, and funding not included
• Designed for educational and planning purposes
──────────────────────────────
⚠️ **DISCLAIMER**
For educational use only — not financial advice.
Trading leveraged products involves high risk of loss.
Always confirm calculations with your exchange and trade responsibly.
RSI Bollinger Bands [DCAUT]█ RSI Bollinger Bands
📊 ORIGINALITY & INNOVATION
The RSI Bollinger Bands indicator represents a meaningful advancement in momentum analysis by combining two proven technical tools: the Relative Strength Index (RSI) and Bollinger Bands. This combination addresses a significant limitation in traditional RSI analysis - the use of fixed overbought/oversold thresholds (typically 70/30) that fail to adapt to changing market volatility conditions.
Core Innovation:
Rather than relying on static threshold levels, this indicator applies Bollinger Bands statistical analysis directly to RSI values, creating dynamic zones that automatically adjust based on recent momentum volatility. This approach helps reduce false signals during low volatility periods while remaining sensitive to genuine extremes during high volatility conditions.
Key Enhancements Over Traditional RSI:
Dynamic Thresholds: Overbought/oversold zones adapt to market conditions automatically, eliminating the need for manual threshold adjustments across different instruments and timeframes
Volatility Context: Band width provides immediate visual feedback about momentum volatility, helping traders distinguish between stable trends and erratic movements
Reduced False Signals: During ranging markets, narrower bands filter out minor RSI fluctuations that would trigger traditional fixed-threshold signals
Breakout Preparation: Band squeeze patterns (similar to price-based BB) signal potential momentum regime changes before they occur
Self-Referencing Analysis: By measuring RSI against its own statistical behavior rather than arbitrary levels, the indicator provides more relevant context
📐 MATHEMATICAL FOUNDATION
Two-Stage Calculation Process:
Stage 1: RSI Calculation
RSI = 100 - (100 / (1 + RS))
where RS = Average Gain / Average Loss over specified period
The RSI normalizes price momentum into a bounded 0-100 scale, making it ideal for statistical band analysis.
Stage 2: Bollinger Bands on RSI
Basis = MA(RSI, BB Length)
Upper Band = Basis + (StdDev(RSI, BB Length) × Multiplier)
Lower Band = Basis - (StdDev(RSI, BB Length) × Multiplier)
Band Width = Upper Band - Lower Band
The Bollinger Bands measure RSI's standard deviation from its own moving average, creating statistically-derived dynamic zones.
Statistical Interpretation:
Under normal distribution assumptions with default 2.0 multiplier, approximately 95% of RSI values should fall within the bands
Band touches represent statistically significant momentum extremes relative to recent behavior
Band width expansion indicates increasing momentum volatility (strengthening trend or increasing uncertainty)
Band width contraction signals momentum consolidation and potential regime change preparation
📊 COMPREHENSIVE SIGNAL ANALYSIS
Visual Color Signals:
This indicator features dynamic color fills that highlight extreme momentum conditions:
Green Fill (Above Upper Band):
Appears when RSI breaks above the upper band, indicating exceptionally strong bullish momentum
Represents dynamic overbought zone - not necessarily a reversal signal but a warning of extreme conditions
In strong uptrends, green fills can persist as RSI "rides the band" - this indicates sustained momentum strength
Exit of green zone (RSI falling back below upper band) often signals initial momentum weakening
Red Fill (Below Lower Band):
Appears when RSI breaks below the lower band, indicating exceptionally weak bearish momentum
Represents dynamic oversold zone - potential reversal or continuation signal depending on trend context
In strong downtrends, red fills can persist as RSI "rides the band" - this indicates sustained selling pressure
Exit of red zone (RSI rising back above lower band) often signals initial momentum recovery
Position-Based Signals:
Upper Band Interactions:
RSI Touching Upper Band: Dynamic overbought condition - momentum is extremely strong relative to recent volatility, potential exhaustion or continuation depending on trend context
RSI Riding Upper Band: Sustained strong momentum, often seen in powerful trends, not necessarily an immediate reversal signal but warrants monitoring for exhaustion
RSI Crossing Below Upper Band: Initial momentum weakening signal, particularly significant if accompanied by price divergence
Lower Band Interactions:
RSI Touching Lower Band: Dynamic oversold condition - momentum is extremely weak relative to recent volatility, potential reversal or continuation of downtrend
RSI Riding Lower Band: Sustained weak momentum, common in strong downtrends, monitor for potential exhaustion
RSI Crossing Above Lower Band: Initial momentum strengthening signal, early indication of potential reversal or consolidation
Basis Line Signals:
RSI Above Basis: Bullish momentum regime - upward pressure dominant
RSI Below Basis: Bearish momentum regime - downward pressure dominant
Basis Crossovers: Momentum regime shifts, more significant when accompanied by band width changes
RSI Oscillating Around Basis: Balanced momentum, often indicates ranging market conditions
Volatility-Based Signals:
Band Width Patterns:
Narrow Bands (Squeeze): Momentum volatility compression, often precedes significant directional moves, similar to price coiling patterns
Expanding Bands: Increasing momentum volatility, indicates trend acceleration or growing uncertainty
Narrowest Band in 100 Bars: Extreme compression alert, high probability of upcoming volatility expansion
Advanced Pattern Recognition:
Divergence Analysis:
Bullish Divergence: Price makes lower lows while RSI touches or stays above previous lower band touch, suggests downward momentum weakening
Bearish Divergence: Price makes higher highs while RSI touches or stays below previous upper band touch, suggests upward momentum weakening
Hidden Bullish: Price makes higher lows while RSI makes lower lows at the lower band, indicates strong underlying bullish momentum
Hidden Bearish: Price makes lower highs while RSI makes higher highs at the upper band, indicates strong underlying bearish momentum
Band Walk Patterns:
Upper Band Walk: RSI consistently touching or staying near upper band indicates exceptionally strong trend, wait for clear break below basis before considering reversal
Lower Band Walk: RSI consistently at lower band signals very weak momentum, requires break above basis for reversal confirmation
🎯 STRATEGIC APPLICATIONS
Strategy 1: Mean Reversion Trading
Setup Conditions:
Market Type: Ranging or choppy markets with no clear directional trend
Timeframe: Works best on lower timeframes (5m-1H) or during consolidation phases
Band Characteristic: Normal to narrow band width
Entry Rules:
Long Entry: RSI touches or crosses below lower band, wait for RSI to start rising back toward basis before entry
Short Entry: RSI touches or crosses above upper band, wait for RSI to start falling back toward basis before entry
Confirmation: Use price action confirmation (candlestick reversal patterns) at band touches
Exit Rules:
Target: RSI returns to basis line or opposite band
Stop Loss: Fixed percentage or below recent swing low/high
Time Stop: Exit if position not profitable within expected timeframe
Strategy 2: Trend Continuation Trading
Setup Conditions:
Market Type: Clear trending market with higher highs/lower lows
Timeframe: Medium to higher timeframes (1H-Daily)
Band Characteristic: Expanding or wide bands indicating strong momentum
Entry Rules:
Long Entry in Uptrend: Wait for RSI to pull back to basis line or slightly below, enter when RSI starts rising again
Short Entry in Downtrend: Wait for RSI to rally to basis line or slightly above, enter when RSI starts falling again
Avoid Counter-Trend: Do not fade RSI at bands during strong trends (band walk patterns)
Exit Rules:
Trailing Stop: Move stop to break-even when RSI reaches opposite band
Trend Break: Exit when RSI crosses basis against trend direction with conviction
Band Squeeze: Reduce position size when bands start narrowing significantly
Strategy 3: Breakout Preparation
Setup Conditions:
Market Type: Consolidating market after significant move or at key technical levels
Timeframe: Any timeframe, but longer timeframes provide more reliable breakouts
Band Characteristic: Narrowest band width in recent 100 bars (squeeze alert)
Preparation Phase:
Identify band squeeze condition (bands at multi-period narrowest point)
Monitor price action for consolidation patterns (triangles, rectangles, flags)
Prepare bracket orders for both directions
Wait for band expansion to begin
Entry Execution:
Breakout Confirmation: Enter in direction of RSI band breakout (RSI breaks above upper band or below lower band)
Price Confirmation: Ensure price also breaks corresponding technical level
Volume Confirmation: Look for volume expansion supporting the breakout
Risk Management:
Stop Loss: Place beyond consolidation pattern opposite extreme
Position Sizing: Use smaller size due to false breakout risk
Quick Exit: Exit immediately if RSI returns inside bands within 1-3 bars
Strategy 4: Multi-Timeframe Analysis
Timeframe Selection:
Higher Timeframe: Daily or 4H for trend context
Trading Timeframe: 1H or 15m for entry signals
Confirmation Timeframe: 5m or 1m for precise entry timing
Analysis Process:
Trend Identification: Check higher timeframe RSI position relative to bands, trade only in direction of higher timeframe momentum
Setup Formation: Wait for trading timeframe RSI to show pullback to basis in trending direction
Entry Timing: Use confirmation timeframe RSI band touch or crossover for precise entry
Alignment Confirmation: All timeframes should show RSI moving in same direction for highest probability setups
📋 DETAILED PARAMETER CONFIGURATION
RSI Source:
Close (Default): Standard price point, balances responsiveness and reliability
HL2: Reduces noise from intrabar volatility, provides smoother RSI values
HLC3 or OHLC4: Further smoothing for very choppy markets, slower to respond but more stable
Volume-Weighted: Consider using VWAP or volume-weighted prices for additional liquidity context
RSI Length Parameter:
Shorter Periods (5-10): More responsive but generates more signals, suitable for scalping or very active trading, higher noise level
Standard (14): Default and most widely used setting, proven balance between responsiveness and reliability, recommended starting point
Longer Periods (21-30): Smoother momentum measurement, fewer but potentially more reliable signals, better for swing trading or position trading
Optimization Note: Test across different market regimes, optimal length often varies by instrument volatility characteristics
RSI MA Type Parameter:
RMA (Default): Wilder's original smoothing method, provides traditional RSI behavior with balanced lag, most widely recognized and tested, recommended for standard technical analysis
EMA: Exponential smoothing gives more weight to recent values, faster response to momentum changes, suitable for active trading and trending markets, reduces lag compared to RMA
SMA: Simple average treats all periods equally, smoothest output with highest lag, best for filtering noise in choppy markets, useful for long-term position analysis
WMA: Weighted average emphasizes recent data less aggressively than EMA, middle ground between SMA and EMA characteristics, balanced responsiveness for swing trading
Advanced Options: Full access to 25+ moving average types including HMA (reduced lag), DEMA/TEMA (enhanced responsiveness), KAMA/FRAMA (adaptive behavior), T3 (smoothness), Kalman Filter (optimal estimation)
Selection Guide: RMA for traditional analysis and backtesting consistency, EMA for faster signals in trending markets, SMA for stability in ranging markets, adaptive types (KAMA/FRAMA) for varying volatility regimes
BB Length Parameter:
Short Length (10-15): Tighter bands that react quickly to RSI changes, more frequent band touches, suitable for active trading styles
Standard (20): Balanced approach providing meaningful statistical context without excessive lag
Long Length (30-50): Smoother bands that filter minor RSI fluctuations, captures only significant momentum extremes, fewer but higher quality signals
Relationship to RSI Length: Consider BB Length greater than RSI Length for cleaner signals
BB MA Type Parameter:
SMA (Default): Standard Bollinger Bands calculation using simple moving average for basis line, treats all periods equally, widely recognized and tested approach
EMA: Exponential smoothing for basis line gives more weight to recent RSI values, creates more responsive bands that adapt faster to momentum changes, suitable for trending markets
RMA: Wilder's smoothing provides consistent behavior aligned with traditional RSI when using RMA for both RSI and BB calculations
WMA: Weighted average for basis line balances recent emphasis with historical context, middle ground between SMA and EMA responsiveness
Advanced Options: Full access to 25+ moving average types for basis calculation, including HMA (reduced lag), DEMA/TEMA (enhanced responsiveness), KAMA/FRAMA (adaptive to volatility changes)
Selection Guide: SMA for standard Bollinger Bands behavior and backtesting consistency, EMA for faster band adaptation in dynamic markets, matching RSI MA type creates unified smoothing behavior
BB Multiplier Parameter:
Conservative (1.5-1.8): Tighter bands resulting in more frequent touches, useful in low volatility environments, higher signal frequency but potentially more false signals
Standard (2.0): Default setting representing approximately 95% confidence interval under normal distribution, widely accepted statistical threshold
Aggressive (2.5-3.0): Wider bands capturing only extreme momentum conditions, fewer but potentially more significant signals, reduces false signals in high volatility
Adaptive Approach: Consider adjusting multiplier based on instrument characteristics, lower multiplier for stable instruments, higher for volatile instruments
Parameter Optimization Workflow:
Start with default parameters (RSI:14, BB:20, Mult:2.0)
Test across representative sample period including different market regimes
Adjust RSI length based on desired responsiveness vs stability tradeoff
Tune BB length to match your typical holding period
Modify multiplier to achieve desired signal frequency
Validate on out-of-sample data to avoid overfitting
Document optimal parameters for different instruments and timeframes
Reference Levels Display:
Enabled (Default): Shows traditional 30/50/70 levels for comparison with dynamic bands, helps visualize the adaptive advantage
Disabled: Cleaner chart focusing purely on dynamic zones, reduces visual clutter for experienced users
Educational Value: Keeping reference levels visible helps understand how dynamic bands differ from fixed thresholds across varying market conditions
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Comparison with Traditional RSI:
Fixed Threshold RSI Limitations:
In ranging low-volatility markets: RSI rarely reaches 70/30, missing tradable extremes
In trending high-volatility markets: RSI frequently breaks through 70/30, generating excessive false reversal signals
Across different instruments: Same thresholds applied to volatile crypto and stable forex pairs produce inconsistent results
Threshold Adjustment Problem: Manually changing thresholds for different conditions is subjective and lagging
RSI Bollinger Bands Advantages:
Automatic Adaptation: Bands adjust to current volatility regime without manual intervention
Consistent Logic: Same statistical approach works across different instruments and timeframes
Reduced False Signals: Band width filtering helps distinguish meaningful extremes from noise
Additional Information: Band width provides volatility context missing in standard RSI
Objective Extremes: Statistical basis (standard deviations) provides objective extreme definition
Comparison with Price-Based Bollinger Bands:
Price BB Characteristics:
Measures absolute price volatility
Affected by large price gaps and outliers
Band position relative to price not normalized
Difficult to compare across different price scales
RSI BB Advantages:
Normalized Scale: RSI's 0-100 bounds make band interpretation consistent across all instruments
Momentum Focus: Directly measures momentum extremes rather than price extremes
Reduced Gap Impact: RSI calculation smooths price gaps impact on band calculations
Comparable Analysis: Same RSI BB appearance across stocks, forex, crypto enables consistent strategy application
Performance Characteristics:
Signal Quality:
Higher Signal-to-Noise Ratio: Dynamic bands help filter RSI oscillations that don't represent meaningful extremes
Context-Aware Alerts: Band width provides volatility context helping traders adjust position sizing and stop placement
Reduced Whipsaws: During consolidations, narrower bands prevent premature signals from minor RSI movements
Responsiveness:
Adaptive Lag: Band calculation introduces some lag, but this lag is adaptive to current conditions rather than fixed
Faster Than Manual Adjustment: Automatic band adjustment is faster than trader's ability to manually modify thresholds
Balanced Approach: Combines RSI's inherent momentum lag with BB's statistical smoothing for stable yet responsive signals
Versatility:
Multi-Strategy Application: Supports both mean reversion (ranging markets) and trend continuation (trending markets) approaches
Universal Instrument Coverage: Works effectively across equities, forex, commodities, cryptocurrencies without parameter changes
Timeframe Agnostic: Same interpretation applies from 1-minute charts to monthly charts
Limitations and Considerations:
Known Limitations:
Dual Lag Effect: Combines RSI's momentum lag with BB's statistical lag, making it less suitable for very short-term scalping
Requires Volatility History: Needs sufficient bars for BB calculation, less effective immediately after major regime changes
Statistical Assumptions: Assumes RSI values are somewhat normally distributed, extreme trending conditions may violate this
Not a Standalone System: Like all indicators, should be combined with price action analysis and risk management
Optimal Use Cases:
Best for swing trading and position trading timeframes
Most effective in markets with alternating volatility regimes
Ideal for traders who use multiple instruments and timeframes
Suitable for systematic trading approaches requiring consistent logic
Suboptimal Conditions:
Very low timeframes (< 5 minutes) where lag becomes problematic
Instruments with extreme volatility spikes (gap-prone markets)
Markets in strong persistent trends where mean reversion rarely occurs
Periods immediately following major structural changes (new trading regime)
USAGE NOTES
This indicator is designed for technical analysis and educational purposes to help traders understand the interaction between momentum measurement and statistical volatility bands. The RSI Bollinger Bands has limitations and should not be used as the sole basis for trading decisions.
Important Considerations:
No Predictive Guarantee: Past band touches and patterns do not guarantee future price behavior
Market Regime Dependency: Indicator performance varies significantly between trending and ranging market conditions
Complementary Analysis Required: Should be used alongside price action, support/resistance levels, and fundamental analysis
Risk Management Essential: Always use proper position sizing, stop losses, and risk controls regardless of signal quality
Parameter Sensitivity: Different instruments and timeframes may require parameter optimization for optimal results
Continuous Monitoring: Band characteristics change with market conditions, requiring ongoing assessment
Recommended Supporting Analysis:
Price structure analysis (support/resistance, trend lines)
Volume confirmation for breakout signals
Multiple timeframe alignment
Market context awareness (news events, session times)
Correlation analysis with related instruments
The indicator aims to provide adaptive momentum analysis that adjusts to changing market volatility, but traders must apply sound judgment, proper risk management, and comprehensive market analysis in their decision-making process.
Strategy with Reference Lines📊 Strategy with Reference Lines
Description:
This strategy uses a contrarian approach based on the analysis of the previous candle to identify entry and exit points. The strategy draws horizontal reference lines at important levels of the previous candle and generates buy/sell signals based on the candle's direction.
Key Features:
🔹 Multi-Timeframe Analysis: Configurable for 1H, 2H, 3H, 4H, 6H, 12H, and 1D
🔹 Reference Lines: High, low, close, and midpoint (50%) of the previous candle
🔹 Visual Signals: Labels with prices and actions (BUY/SELL/TP)
🔹 Optional Trading: Enable/disable automatic order execution
🔹 Complete System: Automatic entry, Take Profit, and Stop Loss
🔹 Alerts: Notifications when a new candle is detected
Strategy Logic:
When the previous candle is POSITIVE:
Signal: 🔴 SELL at the previous candle's close
Take Profit: 🎯 Midpoint (50%) of the previous candle
Stop Loss: 🔴 High of the previous candle
When the previous candle is NEGATIVE:
Signal: 🟢 BUY at the previous candle's close
Take Profit: 🎯 Midpoint (50%) of the previous candle
Stop Loss: 🟢 Low of the previous candle
Visual Elements:
Green Line: High of the previous candle (when positive)
Red Line: Low of the previous candle (when negative)
Yellow Line: Close of the previous candle (always present)
Blue Line: Midpoint (50%) of the previous candle (always present)
Labels: Prices and actions with emojis for easy identification
Settings:
Timeframe: Default 4H (configurable)
Auto Trading: Disabled by default (safety)
Alerts: Include entry prices, TP, and SL
Recommended Usage:
✅ Visual Analysis: Use with trading disabled for analysis
✅ Backtesting: Enable trading to test historically
✅ Swing Trading: Ideal for 4H or higher timeframes
✅ Risk Management: Automatic SL and TP for protection
Risk Disclaimer:
This strategy is for educational and analysis purposes only. Always test in a simulation environment before using with real capital. Trading involves significant risks and may result in losses.
Strong Economic Events Indicator (mtbr)This indicator is designed to help traders anticipate market reactions to key economic events and visualize trade levels directly on their TradingView charts. It is highly customizable, allowing precise planning for entries, take-profits, and stop-losses.
Key Features:
Multi-Event Support:
Supports dozens of economic events including ISM Services PMI, CPI, Core CPI, PPI, Non-Farm Payrolls, Unemployment Rate, Retail Sales, GDP, and major central bank rate decisions (Fed, ECB, BOE, BOJ, Australia, Brazil, Canada, China).
Custom Event Date and Time:
Manually set the year, month, day, hour, and minute of the event to match your chart and timezone, ensuring accurate alignment.
Forecast vs Actual Analysis:
Input the forecast and actual values. The indicator calculates the likely market direction (Buy/Sell/Neutral) according to historical market reactions for each event.
Dynamic Trade Levels:
Automatically plots:
Entry price
TP1, TP2, TP3 in pips relative to the entry
Stop Loss in pips relative to the entry
Levels are automatically adjusted based on the event's Buy/Sell direction.
Visual Chart Representation:
Entry: Blue line and label
TP1/TP2/TP3: Green lines and labels
Stop Loss: Red line and label
Event occurrence: Orange dashed vertical line
Informative Table Panel:
Displays at the bottom-right of the chart:
Event name
Entry price
TP1, TP2, TP3 values
Current market direction (Buy/Sell/Neutral)
Customizable Line Extension:
Extend the lines for visibility across multiple bars on the chart.
How to Use the Indicator:
Select the Asset:
Set the Asset to Trade input to the symbol you want to analyze (e.g., XAUUSD, EURUSD).
Choose the Economic Event:
Use the drop-down menu to select the event you want to track.
Set the Event Date and Time:
Input the year, month, day, hour, and minute of the event. This ensures the event lines and labels appear at the correct time on your chart.
Input Forecast and Actual Values:
Enter the forecasted value and the actual result of the event. The script will determine market direction based on historically observed reactions for that event.
Configure Entry and Pip Levels:
Set your Entry Price
Set pip distances for TP1, TP2, TP3, and Stop Loss
The script automatically adjusts the levels according to Buy or Sell direction.
View Levels and Status:
Once the event occurs (or on backtesting), the indicator will plot:
Entry, Take Profits, Stop Loss on the chart
Vertical line for event occurrence
Table summarizing levels and Buy/Sell status
Adjust Line Extension:
Use the Line Extension (bars) input to control how far the horizontal levels extend on the chart.
Example Scenario:
Event: PPI MoM
Forecast: 0.2
Actual: 0.9
The indicator identifies the correct market reaction (Sell for EURUSD) and plots the Entry, TP1, TP2, TP3, and Stop Loss accordingly.
Important Notes:
The indicator does not execute trades automatically; it is for analysis and visualization only.
Always combine the signals with your own risk management and analysis.
Ensure your chart is set to the correct timezone corresponding to the event’s time.
This description fully explains how to use the indicator, what it displays, and step-by-step guidance for beginners and experienced traders
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Institutional Analyst Board
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Jul 19
📊 Institutional Analyst Board – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto
🔍 Overview
The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI bias, VWAP positioning, and Break of Structure (BoS)—into a single powerful visual dashboard.
This indicator is especially optimized for Gold (XAUUSD) but is also compatible with Crypto and Forex assets.
🧠 Key Features
✅ Multi-Timeframe Dashboard (5M / 15M / 1H)
✅ Order Block Detection with dynamic zones that extend until broken
✅ Fair Value Gap Detection with clear zone shading and border distinction
✅ MACD + RSI Confluence for momentum and bias alignment
✅ VWAP Positioning to identify premium/discount zones
✅ Liquidity Sweeps (internal/external range breaks)
✅ Killzone Highlighting (Asia / London / New York)
✅ Break of Structure (BoS) with advanced confluence filters
✅ Gold Bias Flags across timeframes (BUY / SELL / NEUTRAL)
✅ Dynamic Price Watermark with real-time data
✅ Fully customizable colors, transparencies, and text labels
🧠 How It Works
The Board uses institutional logic to analyze the chart in real time:
Metric Purpose
OB Zones Highlight potential smart money footprints where price is likely to react.
FVG Zones Identify imbalance areas between buyers and sellers—ideal for mean reversion entries.
MACD/RSI Confirm momentum direction and relative strength confluence.
VWAP Determine whether price is trading at a premium or discount.
Liquidity Sweeps Detect manipulative moves before major reversals.
BoS Mark potential trend reversals, filtered by institutional confluence.
Each signal is computed across 3 timeframes and visualized in a clean board that updates live. You’ll also see labels, alerts, and session overlays for maximum clarity.
📌 Ideal Use Case
This tool is perfect for:
Funded Challenge Traders (FTMO, MyForexFunds, etc.)
Gold scalpers and intraday traders
Crypto price action traders using BTC, ETH, SOL, etc.
Smart Money Concept (SMC) and ICT followers
⚙️ Customization Options
Toggle each module (OB, FVG, VWAP, MACD/RSI, etc.)
Set transparency and color for each zone type
Adjust Killzone timing (Asia, London, NY)
Control board position (Top/Bottom) and metric visibility
📈 Compatible Assets
✅ XAUUSD (optimized)
✅ Forex majors/minors
✅ Crypto pairs (BTC, ETH, SOL, etc.)
✅ Indices (GER40, NASDAQ, SPX with minor adaptation)
🛠️ Requirements
Use on TradingView v5
Set chart time to UTC+0 or UTC+3 for optimal Killzone accuracy
For crypto, redefine Killzone hours if needed (24/7 market)
🧠 Pro Tip
Pair this indicator with volume profile tools, CVD/Delta Flow, or Footprint overlays to build high-confidence trade setups with clear institutional confluence.
Pineify Signals and OverlaysIndicator Theoretical Basis
Pineify Signals and Overlays is an invite-only trend-following and reversal-detection toolkit that fuses four well-known concepts— Dow-Theory trend phases , a multi-pair EMA cloud, QQE momentum, and ATR-based risk management—into a single, weight-balanced engine. An optional multi-time-frame (MTF) filter aligns lower-time-frame signals with higher-time-frame structure, helping traders avoid counter-trend setups. All components can be toggled from the settings panel, and a beginner “One-Click” preset loads a conservative profile out of the box.
Why it’s a single script: The algorithm scores every bar on three orthogonal axes—trend, momentum, and volatility—then issues context-aware arrows and coloured clouds only when the axes agree within user-defined tolerances. This inter-locking logic cannot be reproduced by simply stacking independent indicators on a chart, hence the need for an integrated implementation.
Trend Confirmation
Trend Confirmation: This indicator presents two types of market trends: the primary trend and the secondary trend. The primary trend is the long - term direction of the market and can last for days or months; the secondary trend is the adjustment phase within the primary trend.
This indicator uses the EMA (Exponential Moving Average) and visualizes the trend phases through color filling. The judgment of the trend is that blue plus green indicates a bullish trend, and yellow plus red indicates a bearish trend.
The primary trend of this indicator is visualized by two sets of moving averages through color filling. These two sets of moving averages are used to describe the short - term and long - term trends in the market.
The short - period moving averages and the long - period moving averages each consist of 4 moving averages, with a total of 8 moving averages, representing the short - term fluctuations and trends of the market.
Trend Persistence: Once the primary trend is formed, it will persist for a period of time. This indicator judges based on the Dow Theory. Short - term market fluctuations do not necessarily reflect changes in the primary trend. Therefore, the judgment direction of the primary trend is visualized through color.
The Signals of Buying, Selling and Closing
In the primary trend, we can see signals of trend reversal. This indicator incorporates the "Consecutive Candles". The indicator mainly identifies the overbought or oversold state of the market through a series of consecutive conditions, so as to predict the reversal point. The core of this indicator is to identify a series of consecutive price movements in the market trend and determine whether the market is about to reverse based on this sequence. We visualize the turning points through buy and sell signals.
The trend confirmation system utilizes four pairs of Exponential Moving Averages (EMAs) creating dynamic cloud formations that visualize market direction. Short-period EMAs (5, 8, 20, 34) interact with longer-period EMAs (9, 13, 21, 50) to generate color-coded trend clouds . Blue and green clouds indicate bullish conditions, while yellow and red clouds signal bearish trends, providing immediate visual trend identification.
The presentation of buying and selling points, namely "Quantitative Qualitative Estimation", is a technical indicator that combines the concepts of the Relative Strength Index (RSI) and moving averages. It is used to evaluate market trends, overbought and oversold conditions, as well as potential trend reversal points. The oscillator has a relatively long smoothing period, making the indicator relatively stable, thus enabling the visualization of buy + and sell + signals for trading.
ATR Stop - Loss Line
ATR (Average True Range) is an indicator for measuring market volatility. By using the ATR value to set the stop - loss distance, the stop - loss level can be automatically adjusted according to market volatility, making the stop - loss more flexible.
Core principle
Trend-Cloud Engine
EMA Pairs (5, 8, 20, 34 vs 9, 13, 21, 50)—Two four-EMA sets form “fast” and “slow” envelopes. When the volume-weighted mean of the fast set sits above the slow set and both slopes are positive, the bar is tagged primary bullish; the inverse tags primary bearish. Cloud colours (blue/green vs yellow/red) mirror Dow Theory’s primary/secondary trend hierarchy.
Momentum & Exhaustion Layer
QQE Oscillator (RSI 14, factor 4.238) detects momentum extremes and smooths noise more than a raw RSI, making it better suited for multi-time-frame use.
Consecutive-Candle Counter (default 8) highlights potential exhaustion after extended unidirectional moves; reversal symbols appear only if QQE divergence also exists.
Volatility-Adjusted Risk Line
ATR Trailing Stop (ATR 21, dynamic multiplier) expands in high volatility and tightens in low volatility, offering an adaptive exit reference rather than a fixed-tick stop.
Multi-Time-Frame Confirmation
The script automatically chooses a higher aggregation (e.g., 4 × the chart timeframe) and requires primary-trend agreement before issuing “Long ▲+” or “Short ▼+” confirmations. This guards against false signals during counter-trend rebounds.
Recommended parameters
RSI Length: 14 (QQE calculation base)
QQE Factor: 4.238 (Fibonacci-based multiplier)
ATR Period: 21 (volatility measurement)
EMA Lengths: Configurable short (5,8,20,34) and long (9,13,21,50) periods
Consecutive Candles: Selectable count (8)
Multi-timeframe Filter: Filter is enabled by default, resulting in more accurate signals.
Filters
The multi-timeframe filter enhances signal reliability by confirming trends across higher timeframes. This prevents counter-trend trades by ensuring alignment between current chart timeframe and broader market direction. The filter automatically calculates appropriate higher timeframes for trend confirmation.
Signals & Alerts
The indicator system exports multiple alert signals, and you can easily alert for any signal.
Up Trend : Primary long signal appears
Long - ▲ : Buy signal appears
Long - ▲+ : Confirmation buy signal appears
Long - ● : Primary reversal signal appears
Long - ☓ : Secondary reversal signal appears
Down Trend : Primary short signal appears
Short - ▼ : Sell signal appears
Short - ▼+ : Confirmation sell signal appears
Short - ● : Primary reversal signal appears
Short - ☓ : Secondary reversal signal appears
Originality & Value for Traders
Integrated scoring logic ensures signals fire only when trend, momentum, and volatility metrics corroborate, reducing “indicator conflict”.
Auto-computed MTF pairs mean no manual timeframe juggling.
Weight-balanced QQE/EMA blend creates smoother trend clouds than standard MA crosses, yet remains more responsive than Keltner or Donchian approaches.
One-click beginner profile plus full parameter access supports both novice and advanced users.
Risk Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Pineify) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Quantum State Superposition Indicator (QSSI)Quantum State Superposition Indicator (QSSI) - Where Physics Meets Finance
The Quantum Revolution in Market Analysis
After months of research into quantum mechanics and its applications to financial markets, I'm thrilled to present the Quantum State Superposition Indicator (QSSI) - a groundbreaking approach that models price action through the lens of quantum physics. This isn't just another technical indicator; it's a paradigm shift in how we understand market behavior.
The Theoretical Foundation
Quantum Superposition in Markets
In quantum mechanics, particles exist in multiple states simultaneously until observed. Similarly, markets exist in a superposition of potential states (bullish, bearish, neutral) until a significant volume event "collapses" the wave function into a definitive direction.
The mathematical framework:
Wave Function (Ψ): Represents the market's quantum state as a weighted sum of all possible states:
Ψ = Σ(αᵢ × Sᵢ)
Where αᵢ are probability amplitudes and Sᵢ are individual quantum states.
Probability Amplitudes: Calculated using the Born rule, normalized so Σ|αᵢ|² = 1
Observation Operator: Volume/Average Volume ratio determines observation strength
The Five Quantum States
Momentum State: Short-term price velocity (EMA of returns)
Mean Reversion State: Deviation from equilibrium (normalized z-score)
Volatility Expansion State: ATR relative to historical average
Trend Continuation State: Long-term price positioning
Chaos State: Volatility of volatility (market uncertainty)
Each state contributes to the overall wave function based on current market conditions.
Wave Function Collapse
When volume exceeds the observation threshold (default 1.5x average), the wave function "collapses," committing the market to a direction. This models how institutional volume forces markets out of uncertainty into trending states.
Collapse Detection Formula:
Collapse = Volume > (Threshold × Average Volume)
Direction = Sign(Ψ) at collapse moment
Advanced Quantum Concepts
Heisenberg Uncertainty Principle
The indicator calculates market uncertainty as the product of price and momentum
uncertainties:
ΔP × ΔM = ℏ (market uncertainty constant)
This manifests as dynamic uncertainty bands that widen during unstable periods.
Quantum Tunneling
Calculates the probability of price "tunneling" through resistance/support barriers:
P(tunnel) = e^(-2×|barrier_height|×√coherence_length)
Unlike classical technical analysis, this gives probability of breakouts before they occur.
Entanglement
Measures the quantum correlation between price and volume:
Entanglement = |Correlation(Price, Volume, lookback)|
High entanglement suggests coordinated institutional activity.
Decoherence
When market states lose quantum properties and behave classically:
Decoherence = 1 - Σ(amplitude²)
Indicates trend emergence from quantum uncertainty.
Visual Innovation
Probability Clouds
Three-tier probability distributions visualize market uncertainty:
Inner Cloud (68%): One standard deviation - most likely price range
Middle Cloud (95%): Two standard deviations - probable extremes
Outer Cloud (99.7%): Three standard deviations - tail risk zones
Cloud width directly represents market uncertainty - wider clouds signal higher entropy states.
Quantum State Visualization
Colored dots represent individual quantum states:
Green: Momentum state strength
Red: Mean reversion state strength
Yellow: Volatility state strength
Dot brightness indicates amplitude (influence) of each state.
Collapse Events
Aqua Diamonds (Above): Bullish collapse - upward commitment
Pink Diamonds (Below): Bearish collapse - downward commitment
These mark precise moments when markets exit superposition.
Implementation Details
Core Calculations
Feature Extraction: Normalize price returns, volume ratios, and volatility measures
State Calculation: Compute each quantum state's value
Amplitude Assignment: Weight states by market conditions and observation strength
Wave Function: Sum weighted states for final market quantum state
Visualization: Transform quantum values to price space for display
Performance Optimization
- Efficient array operations for state calculations
- Single-pass normalization algorithms
- Optimized correlation calculations for entanglement
- Smart label management to prevent visual clutter
Trading Applications:
Signal Generation
Bullish Signals:
- Positive wave function during collapse
- High tunneling probability at support
- Coherent market state with bullish bias
Bearish Signals:
- Negative wave function during collapse
- High tunneling probability at resistance
- Decoherent state transitioning bearish
Risk Management
Uncertainty-Based Position Sizing:
Narrow clouds: Normal position size
Wide clouds: Reduced position size
Extreme uncertainty: Stay flat
Quantum Stop Losses:
- Place stops outside probability clouds
- Adjust for Heisenberg uncertainty
- Respect quantum tunneling levels
Market Regime Recognition
Quantum Coherent (Superposed):
- Market in multiple states
- Avoid directional trades
- Prepare for collapse
Quantum Decoherent (Classical):
-Clear trend emergence
- Follow directional signals
- Traditional analysis applies
Advanced Features
Adaptive Dashboards
Quantum State Panel: Real-time wave function, dominant state, and coherence status
Performance Metrics: Win rate, signal frequency, and regime analysis
Information Guide: Comprehensive explanation of all quantum concepts
- All dashboards feature adjustable sizing for different screen resolutions.
Multi-Timeframe Quantum Analysis
The indicator adapts to any timeframe:
Scalping (1-5m): Short coherence length, sensitive thresholds
Day Trading (15m-1H): Balanced parameters
Swing Trading (4H-1D): Long coherence, stable states
Alert System
Sophisticated alerts for:
- Wave function collapse events
- Decoherence transitions
- High tunneling probability
- Strong entanglement detection
Originality & Innovation
This indicator introduces several firsts:
Quantum Superposition: First to model markets as quantum systems
Wave Function Collapse: Original volume-triggered state commitment
Tunneling Probability: Novel breakout prediction method
Entanglement Metrics: Unique price-volume quantum correlation
Probability Clouds: Revolutionary uncertainty visualization
Development Journey
Creating QSSI required:
- Deep study of quantum mechanics principles
- Translation of physics equations to market context
- Extensive backtesting across multiple markets
- UI/UX optimization for trader accessibility
- Performance optimization for real-time calculation
- The result bridges cutting-edge physics with practical trading.
Best Practices
Parameter Optimization
Quantum States (2-5):
- 2-3 for simple markets (forex majors)
- 4-5 for complex markets (indices, crypto)
Coherence Length (10-50):
- Lower for fast markets
- Higher for stable markets
Observation Threshold (1.0-3.0):
- Lower for active markets
- Higher for thin markets
Signal Confirmation
Always confirm quantum signals with:
- Market structure (support/resistance)
- Volume patterns
- Correlated assets
- Fundamental context
Risk Guidelines
- Never risk more than 2% per trade
- Respect probability cloud boundaries
- Exit on decoherence shifts
- Scale with confidence levels
Educational Value
QSSI teaches advanced concepts:
- Quantum mechanics applications
- Probability theory
- Non-linear dynamics
- Risk management
- Market microstructure
Perfect for traders seeking deeper market understanding.
Disclaimer
This indicator is for educational and research purposes only. While quantum mechanics provides a fascinating framework for market analysis, no indicator can predict future prices with certainty. The probabilistic nature of both quantum mechanics and markets means outcomes are inherently uncertain.
Always use proper risk management, conduct thorough analysis, and never risk more than you can afford to lose. Past performance does not guarantee future results.
Conclusion
The Quantum State Superposition Indicator represents a revolutionary approach to market analysis, bringing institutional-grade quantum modeling to retail traders. By viewing markets through the lens of quantum mechanics, we gain unique insights into uncertainty, probability, and state transitions that classical indicators miss.
Whether you're a physicist interested in finance or a trader seeking cutting-edge tools, QSSI opens new dimensions in market analysis.
"The market, like Schrödinger's cat, exists in multiple states until observed through volume."
* As you may have noticed, the past two indicators I've released (Lorentzian Classification and Quantum State Superposition) are designed with strategy implementation in mind. I'm currently developing a stable execution platform that's completely unique and moves away from traditional ATR-based position sizing and stop loss systems. I've found ATR-based approaches to be unreliable in volatile markets and regime transitions - they often lag behind actual market conditions and can lead to premature exits or oversized positions during volatility spikes.
The goal is to create something that adapts to market conditions in real-time using the quantum and relativistic principles we've been exploring. Hopefully I'll have something groundbreaking to share soon. Stay tuned!
Trade with quantum insight. Trade with QSSI .
— Dskyz , for DAFE Trading Systems
Bullish and Bearish Breakout Alert for Gold Futures PullbackBelow is a Pine Script (version 6) for TradingView that includes both bullish and bearish breakout conditions for my intraday trading strategy on micro gold futures (MGC). The strategy focuses on scalping two-legged pullbacks to the 20 EMA or key levels with breakout confirmation, tailored for the Apex Trader Funding $300K challenge. The script accounts for the Daily Sentiment Index (DSI) at 87 (overbought, favoring pullbacks). It generates alerts for placing stop-limit orders for 175 MGC contracts, ensuring compliance with Apex’s rules ($7,500 trailing threshold, $20,000 profit target, 4:59 PM ET close).
Script Requirements
Version: Pine Script v6 (latest for TradingView, April 2025).
Purpose:
Bullish: Alert when price breaks above a rejection candle’s high after a two-legged pullback to the 20 EMA in a bullish trend (price above 20 EMA, VWAP, higher highs/lows).
Bearish: Alert when price breaks below a rejection candle’s low after a two-legged pullback to the 20 EMA in a bearish trend (price below 20 EMA, VWAP, lower highs/lows).
Context: 5-minute MGC chart, U.S. session (8:30 AM–12:00 PM ET), avoiding overbought breakouts above $3,450 (DSI 87).
Output: Alerts for stop-limit orders (e.g., “Buy: Stop=$3,377, Limit=$3,377.10” or “Sell: Stop=$3,447, Limit=$3,446.90”), quantity 175 MGC.
Apex Compliance: 175-contract limit, stop-losses, one-directional news trading, close by 4:59 PM ET.
How to Use the Script in TradingView
1. Add Script:
Open TradingView (tradingview.com).
Go to “Pine Editor” (bottom panel).
Copy the script from the content.
Click “Add to Chart” to apply to your MGC 5-minute chart .
2. Configure Chart:
Symbol: MGC (Micro Gold Futures, CME, via Tradovate/Apex data feed).
Timeframe: 5-minute (entries), 15-minute (trend confirmation, manually check).
Indicators: Script plots 20 EMA and VWAP; add RSI (14) and volume manually if needed .
3. Set Alerts:
Click the “Alert” icon (bell).
Add two alerts:
Bullish Breakout: Condition = “Bullish Breakout Alert for Gold Futures Pullback,” trigger = “Once Per Bar Close.”
Bearish Breakout: Condition = “Bearish Breakout Alert for Gold Futures Pullback,” trigger = “Once Per Bar Close.”
Customize messages (default provided) and set notifications (e.g., TradingView app, SMS).
Example: Bullish alert at $3,377 prompts “Stop=$3,377, Limit=$3,377.10, Quantity=175 MGC” .
4. Execute Orders:
Bullish:
Alert triggers (e.g., stop $3,377, limit $3,377.10).
In TradingView’s “Order Panel,” select “Stop-Limit,” set:
Stop Price: $3,377.
Limit Price: $3,377.10.
Quantity: 175 MGC.
Direction: Buy.
Confirm via Tradovate.
Add bracket order (OCO):
Stop-loss: Sell 175 at $3,376.20 (8 ticks, $1,400 risk).
Take-profit: Sell 87 at $3,378 (1:1), 88 at $3,379 (2:1) .
Bearish:
Alert triggers (e.g., stop $3,447, limit $3,446.90).
Select “Stop-Limit,” set:
Stop Price: $3,447.
Limit Price: $3,446.90.
Quantity: 175 MGC.
Direction: Sell.
Confirm via Tradovate.
Add bracket order:
Stop-loss: Buy 175 at $3,447.80 (8 ticks, $1,400 risk).
Take-profit: Buy 87 at $3,446 (1:1), 88 at $3,445 (2:1) .
5. Monitor:
Green triangles (bullish) or red triangles (bearish) confirm signals.
Avoid bullish entries above $3,450 (DSI 87, overbought) or bearish entries below $3,296 (support) .
Close trades by 4:59 PM ET (set 4:50 PM alert) .
Multi-Factor Reversal AnalyzerMulti-Factor Reversal Analyzer – Quantitative Reversal Signal System
OVERVIEW
Multi-Factor Reversal Analyzer is a comprehensive technical analysis toolkit designed to detect market tops and bottoms with high precision. It combines trend momentum analysis, price action behavior, wave oscillation structure, and volatility breakout potential into one unified indicator.
This indicator is not a random mix of tools — each module is carefully selected for a specific purpose. When combined, they form a multi-dimensional view of the market, merging trend analysis, momentum divergence, and volatility compression to produce high-confidence signals.
Why Combine These Modules?
Module Combination Ideas & How to Use Them
Factor A: Trend Detector + Gold Zone
Concept:
• The Trend Detector (light yellow histogram) evaluates market strength:
• Histogram trending downward or staying below 50 → bearish conditions;
• Trending upward or staying above 50 → bullish conditions.
• The Gold Zone identifies areas of volatility compression — typically a prelude to explosive market moves.
Practical Application:
• When the Gold Zone appears and the Trend Detector is bearish → likely downside move;
• When the Gold Zone appears and the Trend Detector is bullish → likely upside breakout.
• Note: The Gold Zone does not mean the bottom is in. It is not a buy signal on its own — always combine it with other modules for directional bias.
Factor B: PAI + Wave Trend
Concept:
• PAI (Price Action Index) is a custom oscillator that combines price momentum with volatility dispersion, displaying strength zones:
• Green area → bullish dominance;
• Red area → bearish pressure.
• Wave Trend offers smoothed crossover signals via the main and signal lines.
Practical Application:
• When PAI is in the green zone and Wave Trend makes a bullish crossover → potential reversal to the upside;
• When PAI is in the red zone and Wave Trend shows a bearish crossover → potential start of a downtrend.
Factor C: Trend Detector + PAI
Concept:
• Combines directional trend strength with price action strength to confirm setups via confluence.
Practical Application:
• Trend Detector histogram bottoms out + PAI enters the green zone → high chance of upward reversal;
• Histogram tops out + PAI in the red zone → increased likelihood of downside continuation.
Multi-Factor Confluence (Advanced Use)
• When Trend Detector, PAI, and Wave Trend all align in the same direction (bullish or bearish), the directional signal becomes significantly more reliable.
• This setup is especially useful for trend-following or swing trade entries.
KEY FEATURES
1. Multi-Layer Reversal Logic
• Combines trend scoring, oscillator divergence, and volatility squeezes for triangulated reversal detection.
• Helps traders distinguish between trend pullbacks and true reversals.
2. Advanced Divergence Detection
• Detects both regular and hidden divergences using pivot-based confirmation logic.
• Customizable lookback ranges and pivot sensitivity provide flexible tuning for different market styles.
3. Gold Zone Volatility Compression
• Highlights pre-breakout zones using custom oscillation models (RSI, harmonic, Karobein, etc.).
• Improves anticipation of breakout opportunities following low-volatility compressions.
4. Trend Direction Context
• PAI and Trend Score components provide top-down insight into prevailing bias.
• Built-in “Straddle Area” highlights consolidation zones; breakouts from this area often signal new trend phases.
5. Flexible Visualization
• Color-coded trend bars, reversal markers, normalized oscillator plots, and trend strength labels.
• Designed for both visual discretionary traders and data-driven system developers.
USAGE GUIDELINES
1. Applicable Markets
• Suitable for stocks, crypto, futures, and forex
• Supports reversal, mean-reversion, and breakout trading styles
2. Recommended Timeframes
• Short-term traders: 5m / 15m / 1H — use Wave Trend divergence + Gold Zone
• Swing traders: 4H / Daily — rely on Price Action Index and Trend Detector
• Macro trend context: use PAI HTF mode for higher timeframe overlays
3. Reversal Strategy Flow
• Watch for divergence (WT/PAI) + Gold Zone compression
• Confirm with Trend Score weakening or flipping
• Use Straddle Area breakout for final trigger
• Optional: enable bar coloring or labels for visual reinforcement
• The indicator performs optimally when used in conjunction with a harmonic pattern recognition tool
4. Additional Note on the Gold Zone
The “Gold Zone” does not directly indicate a market bottom. Since it is displayed at the bottom of the chart, it may be misunderstood as a bullish signal. In reality, the Gold Zone represents a compression of price momentum and volatility, suggesting that a significant directional move is about to occur. The direction of that move—upward or downward—should be determined by analyzing the histogram:
• If histogram momentum is weakening, the Gold Zone may precede a downward move.
• If histogram momentum is strengthening, it may signal an upcoming rebound or rally.
Treat the Gold Zone as a warning of impending volatility, and always combine it with trend indicators for accurate directional judgment.
RISK DISCLAIMER
• This indicator calculates trend direction based on historical data and cannot guarantee future market performance. When using this indicator for trading, always combine it with other technical analysis tools, fundamental analysis, and personal trading experience for comprehensive decision-making.
• Market conditions are uncertain, and trend signals may result in false positives or lag. Traders should avoid over-reliance on indicator signals and implement stop-loss strategies and risk management techniques to reduce potential losses.
• Leverage trading carries high risks and may result in rapid capital loss. If using this indicator in leveraged markets (such as futures, forex, or cryptocurrency derivatives), exercise caution, manage risks properly, and set reasonable stop-loss/take-profit levels to protect funds.
• All trading decisions are the sole responsibility of the trader. The developer is not liable for any trading losses. This indicator is for technical analysis reference only and does not constitute investment advice.
• Before live trading, it is recommended to use a demo account for testing to fully understand how to use the indicator and apply proper risk management strategies.
CHANGELOG
v1.0: Initial release featuring integrated Price Action Index, Trend Strength Scoring, Wave Trend Oscillator, Gold Zone Compression Detection, and dual-type divergence recognition. Supports higher timeframe (HTF) synchronization, visual signal markers, and diversified parameter configurations.
Head & Shoulders Pattern (Zeiierman)█ Overview
The Head & Shoulders Pattern (Zeiierman) is an advanced pattern recognition tool that automatically detects and visualizes one of the most powerful reversal patterns in technical analysis — the classic Head & Shoulders and Inverse Head & Shoulders formations .
This indicator brings structure clarity directly onto the price chart, allowing traders to instantly spot potential major reversal zones without manually drawing or searching for patterns.
It doesn't just draw lines — it intelligently scans price action for symmetry, pivot behavior, and neckline structures — then projects realistic price targets based on the pattern's height.
⚪ In simple terms:
▸ Standard Head & Shoulders → Bearish Reversal Pattern
▸ Inverse Head & Shoulders → Bullish Reversal Pattern
▸ Target Projection → Estimated Move from Neckline Break
▸ Labels → Clear annotation of Left Shoulder, Head, and Right Shoulder
█ How It Works
The indicator combines multiple technical detection layers into a clean visual model:
⚪ Dynamic Pivot Engine
Automatically detects pivot highs and lows based on user-defined Period.
Longer Period = Broader, higher-confidence patterns
Shorter Period = Smaller, more frequent patterns
⚪ Pattern Detection Logic
Scans pivot structures in real-time to identify valid:
Bearish Head & Shoulders (H&S)
Bullish Inverse Head & Shoulders (iH&S)
Conditions include:
▸ Symmetry validation
▸ Head above (or below) Shoulders
▸ Neckline structure
▸ Minimum price conditions met
█ How to Use
⚪ Reversal Trading
Look for Head & Shoulders at the top of an uptrend
Look for Inverse Head & Shoulders at the bottom of a downtrend
⚪ What makes our tool truly unique is that it goes beyond the traditional textbook definition.
Our custom Head & Shoulders algorithm is built with flexibility and adaptability in mind. It dynamically responds to real-time price action, allowing it to detect valid patterns not only at major trend reversals — but also within trending environments.
That means you can spot Head & Shoulders formations at:
Consolidation zones
Trend continuation areas
Corrective phases within established trends
It doesn’t have to be the absolute top or bottom of a move — and that’s the real power of this tool. It adapts. It evolves. It finds structure where most indicators stay blind.
█ Common Real-World Stop Loss Strategies with Head & Shoulders Patterns
Not all Head & Shoulders patterns are created equal — and neither are the stop loss strategies used to trade them.
Depending on your trading style, risk tolerance, and market context — here are the 3 most common ways traders manage stop placement when trading Head & Shoulders (H&S) or Inverse Head & Shoulders (iH&S) patterns:
⚪ Conservative Stop Placement
Maximum Safety — Minimum Chance of Being Stopped Prematurely
Stop Placement:
Above the Head (Bearish H&S)
Below the Head (Bullish iH&S)
Pros: Safest approach. Provides maximum protection against false breakouts and noise.
Cons: Often results in very large stop losses, especially on bigger patterns or higher timeframes. Risk-to-Reward (RR) can be poor unless the target is far.
⚪ Aggressive Stop Placement
Tighter Risk — Faster Invalidations
Stop Placement:
Above the Right Shoulder (Bearish H&S)
Below the Right Shoulder (Bullish iH&S)
Pros: Smaller stop losses. Improved RR. Ideal for traders who want tighter control over risk.
Cons: Higher chance of getting stopped on retests or minor volatility around the neckline zone.
⚪ Neckline Reclaim Invalidation
Dynamic & Price-Action Based Exit
Stop Placement:
Exit the trade if price closes back above (bearish) or below (bullish) the neckline after breaking it.
Pros: Dynamic approach based on market behavior rather than static levels. Allows more flexibility.
Cons: Requires active trade management. Not suitable for fully automated or set-and-forget trading styles.
█ Why It's Useful
This is not a basic pattern drawing tool — it's a complete detection system built for traders who want to:
Automatically detect powerful reversal patterns
Avoid the subjectivity of manually drawing H&S structures
Trade with clear target projections
Identify high-probability reversal zones
Visually map structure shifts in real-time
█ Settings
Pivot Detection
Period → Number of bars used to scan for pivots (Higher = Bigger patterns)
Pattern Detection
Enable Bullish Head & Shoulders
Enable Bearish Head & Shoulders
Visualization
Customize Colors (Lines, Fills, Labels)
Enable/Disable Labels
Pattern Style: Closed / Open
Custom Label Colors
Target Projection
Enable/Disable Target Projection
Customize Target Colors
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
