QuantCat Chande Swinger StrategyQuantCat Chande Swinger
This strategy is designed to be used on the 1 minute with mainly bitcoin, and cryptocurrencies. But parameters can be adjusted to ANY pair.
After some long research about chande momentum oscillator, I decided to create a strategy using normal distribution percentage levels to snipe entries. This in turn on the 1 minute can create a nice profit over a consecutive amount of days, the end goal is to get a stronger version of this strategy running on a bot and print some money. This strategy is tightly defined, and can be loosened up to make more trades too- giving a higher sample size and better sharpe ratio.
The strategy checks to see if the Chande value is in an extreme percentile based on the last few hundred chande values- if it is it will open a position.
No stoploss or take profit implemented into the swinger yet, but this will be the next addition to really minimise loss and amplify potential profits.
Any liquid crypto pair on the low timesframes will net a good result with this strategy.
We also have a free 15M and 1H strategy available too.
You can join our discord server to get live alerts for the strategies as well as speak to our devs! Link in signature below!!!
Wyszukaj w skryptach "take profit"
Any MA bands (TMA bands V2)Hi everyone
Website will be opening very shortly :) Sorting out the last details and we're so excited to finally roll-out our different Algorithm Builders for you guys
Forewords
This present script is an evolution of the TMA bands . I would never have expected that script to become so popular to be honest
This is not only a study or idea but a really proven method and I'm glad that many of you are using it already. But please, whenever you see a new script out there, even if it looks cool and promising, please test it on a demo account for a week or on a LIVE account but with tiny amounts every time.
Many times, what you see on the chart is not what will happen in reality. I know that most of you will agree and I know exactly why we see this behavior... I'll give more details in a later post
I have plenty of methods like that one and I'll detail them on my website (and a bit on TradingView) starting next month
TMA bands on steroids
Someone asked me privately to make a generic version of the TMA bands and make it compatible with other standards Moving Average types. That's it for the specifications really as I didn't do much than re-using some piece of my own code
Suggested (but not mandatory) methodology
1) The Take Profit 1 is the middle line, Take Profit 2 is the opposite band.
2) Once the TP1 is hit, set your Stop Loss to breakeven
3) Once the TP2 is hit, if you still want to stay in the trade, set your Stop Loss to the TP1
It will be a powerful tool in your arsenal for some scalp/intraday trades
Wishing you all of you a great and profitable day
PS
It's strictly forbidden to republish this script without my explicit approval. All my posts are copyrighted from now on
Obviously you can use but not republish and get the credit or even worse... some money from your own clients
Dave
____________________________________________________________
Be sure to hit the thumbs up. Building those indicators take a lot of time and likes are always rewarding for me :) (tips are accepted too)
- If you want to suggest some indicators that I can develop and share with the community, please use my personal TRELLO board
- I'm an officially approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies
Jump on a 1 to 1 coaching with me
- You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
Disclaimer:
Trading involves a high level of financial risk, and may not be appropriate because you may experience losses greater than your deposit. Leverage can be against you.
Do not trade with capital that you can not afford to lose. You must be aware and have a complete understanding of all the risks associated with the market and trading. We can not be held responsible for any loss you incur.
Trading also involves risks of gambling addiction.
Please notice I do not provide financial advice - my indicators, strategies, educational ideas are intended to provide only some source code for anyone interested in improving their trading
The proprietary indicators and strategies developed by Best Trading Indicator, the object of intellectual property rights are and remain the exclusive property of Best Trading Indicator, at the exclusion of images and videos and texts free of rights or provided by the Company or external legal or physical person.
No assignment of intellectual property rights is carried out through these Terms and Conditions.
Any total or partial reproduction, modification or use of these properties for any reason whatsoever is strictly prohibited without the express written authorization of the Company.
Bilateral Stochastic Oscillator StrategyIntroduction
Strategy based on the bilateral stochastic oscillator, this oscillator aim to detect trends and possible reversal points of the current trend. The oscillator is composed of 1 bull line in blue and 1 bear line in red as well as a signal line in orange, the strategy have many options such as two different strategy framework and a martingale mode. If you require more information about the indicator go check it into my uploaded indicators.
Strategy Frameworks
There are two frameworks available that can be selected from the strategy settings window. Both have the same closing conditions, the "Bull/Bear Cross" entry conditions are :
Buy : when the bull line cross over the bear line
Sell : when the bear line cross over the bull line
The "Signal Cross" entry conditions are :
Buy : when the bull line cross over the signal line
Sell : when the bear line cross over the signal line
Both have the same close conditions that is : close when bull/bear cross under the signal line.
Introduction To Martingale
The martingale money management system consist to double the order size after a loosing trade and can be described as a 2^x where x is the current number of loosing trades since the last win trade, when we win a trade the order size return to the default order size. Therefore our order size function is based on exponential growth.
This system enable the trader to win back his previous losses plus a potential profit, martingales must always be used with stops and sometimes take profits in order to get control in a strategy.
It must always be taken into account that in a series of losses the balance can exponentially decay thus ending to 0 in a matter of trades, this is why it is not recommended to use such system. The strategy allow you to select a martingale multiplier that can be inferior to 2 thus limiting risks, a multiplied of 1 disable the martingale.
Results
Those are the some statistics of the strategy applied to some forex majors by using the default settings in a time frames of 15 minutes.
//-------------------------------------------------------
EURUSD - Order Size 1000 - Spread 0.0002
Profit : $ 21.08
Trades : 19
PP : 57.89 %
Profit Factor : 3.228
Max Drawdown : -$ 3.81
Average Trade : $ 1.11
//-------------------------------------------------------
GBPUSD - Order Size 1000 - Spread 0.0002
Profit : $ 2.31
Trades : 20
PP : 55 %
Profit Factor : 0.938
Max Drawdown : -$ 20.29
Average Trade : $ 0.12
//-------------------------------------------------------
EURAUD - Order Size 1000 - Spread 0.0002
Profit : -$ 9.22
Trades : 20
PP : 40 %
Profit Factor : 0.698
Max Drawdown : -$ 23.44
Average Trade : $ 0.46
//-------------------------------------------------------
EURCHF - Order Size 1000 - Spread 0.0002
Profit : $ 1.58
Trades : 24
PP : 54.17 %
Profit Factor : 1.103
Max Drawdown : -$ 7.23
Average Trade : $ 0.07
//-------------------------------------------------------
Conclusions
Based on the results the strategy does not posses the sufficient performance in order to apply a martingale or any other growth systems as order size. Parameters might be subject to drastic changes depending on the market/time-frame in order to return long-term positive results. I let you draw your conclusions.
Sinyal GhoibLeading Signal!!!
Long entry while long signal appears.
Short entry while short signal appears.
This signal only effective on BitMex | 5m | XBTUSD.
Take profit: 0,6% from entry price
Stop loss: 0,6% from entry price
Leverage: 10x - 50x
For donation
BTC: 3E7rUPX7upS8iTj42JdLt7keJVbJLfvMoH
ETH: 0x094ed88e4c5a9b225e936586cbc2d61f4a027f68
BitMex Referral: P81ZCO
Thank you & happy trading!
Turtle Trade Channels by KıvanÇ fr3762his trend following system was designed by Dennis Gartman and Bill Eckhart, and relies on breakouts of historical highs and lows to take and close trades: it is the complete opposite to the "buy low and sell high" approach. This trend following system was taught to a group of average and normal individuals, and almost everyone turned into a profitable trader.
The main rule is "Trade an N-day breakout and take profits when an M-day high or low is breached (N must me above M)". Examples:
Buy a 10-day breakout and close the trade when price action reaches a 5-day low.
Go short a 20-day breakout and close the trade when price action reaches a 10-day high.
In this indicator, the red line is the trading line, and the dotted blue line is the exit line. Original system is:
Go long when the trading line crosses below close price
Go short when the trading line rosses above close price
Exit long positions when the price touches the exit line
Exit short positions when the price touches the exit line
Recommended initial stop-loss is ATR * 2 from the opening price. Default system parameters were 20,10 and 55,20.
Original Turtle Rules:
To trade exactly like the turtles did, you need to set up two indicators representing the main and the failsafe system.
Set up the main indicator with TradePeriod = 20 and StopPeriod = 10 (A.k.a S1)
Set up the failsafe indicator with TradePeriod = 55 and StopPeriod = 20 using a different color. (A.k.a S2)
The entry strategy using S1 is as follows
Buy 20-day breakouts using S1 only if last signaled trade was a loss.
Sell 20-day breakouts using S1 only if last signaled trade was a loss.
If last signaled trade by S1 was a win, you shouldn't trade -Irregardless of the direction or if you traded last signal it or not-
The entry strategy using S2 is as follows:
Buy 55-day breakouts only if you ignored last S1 signal and the market is rallying without you
Sell 55-day breakouts only if you ignored last S1 signal and the market is pluging without you
The turtles had a progressive position sizing approach that boosted their winnings. Once a trading decision has been made you should...
Developers: Dennis Gartman and Bill Eckhart
İndikatörü geliştiren: Dennis Gartman and Bill Eckhart
ATR Short [zauoyds]This script was made to calculate in real time the stop and take profit based on ATR to SHORT positions. By default, the number is 1,5 ATR to stop-loss and 3 ATR to take profit. You can change according to your trading system.
ATR Long [zauoyds]This script was made to calculate in real time the stop and take profit based on ATR to LONG positions. By default, the number is 1,5 ATR to stop-loss and 3 ATR to take profit. You can change according to your trading system.
Bollinger Awesome Alert R1 by JustUncleLThis indicator is an implementation of the Bollinger Band and Awesome Oscillator Scalping system.
This technique is for those who want the most simple method that is very effective. It is BEST traded during the busiest trading hours, 3am to 12am EST NY time. This method doesn't work in sideways markets, only in volatile trending markets.
Time Frames: 1, 5, 10, 15 ,30 min.
Currency pairs: majors.
Other Chart indicators:
Add Awesome Oscillator.
Optionally Add Squeeze Indicator.
Here's the strategy:
Going LONG:
Enter a long position when the black 3 EMA has crossed up through the Bollinger red middle band MA. At the same time, the Awesome should be approaching or crossing it's zeroline, going up. This is indicated by "Buy" alert.
Going SHORT:
Enter a short position when the black 3 EMA has crossed down through the Bollinger red middle band MA. At the same time, the Awesome should be approaching or crossing it's zero line, going down. This is indicated by the "Sell" Alert.
Take profit:
10-20 pips depending on pair or When Awesome Oscillator turns a different colour.
HINTS: Best trades tend to occur when price reversing bounce off outer band and outside the Optional Bollinger Squeeze indication.
Simple Buy/Sell IndicatorThe original script was posted on ProRealCode by user Doctrading.
This little and simple code allows you to draw an indicator, which show you when buy or sell conditions are met.
For "buy" conditions, I did just set :
close > MM200
close > Parabolic SAR
MACD > 0
RSI7 > 50
For "sell" conditions : the opposite.
Of course, you can set what you want, in order to test your strategies.
Of course, to be profitable, you must also set your trading rules (entry, stop loss, trailing stop, take profit, etc.)
It's only an indicator, which doesn't show entry or exit rules.
The Always Winning Holy Grail Strategy - Not (by ChartArt)How to win all the time if 1+1 = 2
The most upvoted strategies on Tradingview are those which seemingly work 100%, but they actually don't at all because they are repainting and would not work in live trading reality. They are using the multi-time-frame strategy testing bug and thereby trade during the backtest on close prices before the bar has closed in reality.
Top list of these cheating repainting strategies:
1569 upvotes ANN Strategy
877 upvotes Vdub FX SniperVX3 Strategy
481 upvotes Get Trend Strategy
I guess there are much more strategies among the top upvoted strategies on Tradingview which cheat with a multi-time-frame close price, but three examples are enough. The ANN Strategy uses the daily close price as multi-time-frame and cheats with that. The Vdub FX SniperVX3 Strategy uses the half-day (720 minute) close price to cheat and the Get Trend Strategy uses the 160 minute bar close for repaint cheating (at least here the author of this strategy explains that his strategy is only demo and would not work, which might be the reason why it has 1000 less upvotes than the ANN Strategy. I already wrote months ago a comment underneat these strategies to explain this issue but it hasn't stopped these strategies from getting more and more upvotes and staying in the top list.
I thought this way of cheating is lame, so I invented a new way to cheat my way to seemingly reach 100% profitable trades all the time by going long if 1+1 is equal to 2. Welcome to super wide stop losses. Simply use a extreme unrealistic large stop loss and take profit after a realistic amount of pips and according to Tradingview's current backtest module you win 100% all the time. Yay! :)
My recommendation for the Tradingview team is to add a function to let the user define a stop out and margin call level and maybe set a realistic setting as default, like 100%.
Please don't trade with this strategy!
How to automate this strategy for free using a chrome extension.Hey everyone,
Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep.
Step 1:
You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol)
Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert.
Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please.
This following script is for the custom alerts:
//@version=2
study("4All-Alert", shorttitle="Alerts")
src = close
len = input(4, minval=1, title="Length")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsin = input(5)
sn = 100 - rsin
ln = 0 + rsin
short = crossover(rsi, sn) ? 1 : 0
long = crossunder(rsi, ln) ? 1 : 0
plot(long, "Long", color=green)
plot(short, "Short", color=red)
Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts.
To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com
For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close.
In the message for a long place this as your message:
Long
c=order b=short
c=position b=short l=200 t=market
b=long q=0.01 l=200 t=market tp=13 sl=25
and for the short...
Short
c=order b=long
c=position b=long l=200 t=market
b=short q=0.01 l=200 t=market tp=13 sl=25
If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all.
I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView.
ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts.
There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided.
Best of luck and happy trading.
Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links.
www.okcoin.com
1broker.com
Madrid Trend TradingMadrid Trend Trading is an indicator that shows Momentum direction and strength based on a given trend (pair of MA's). It is useful to detect the direction of the trend, Momentum divergences with the trend and possible trend reversals.
Parameters
1. Fast MA Length
2. Slow MA Length
3. Signal Length
Trading with MTT
1. MTT > 0 and increasing (Lime) : Long position
2. MTT > 0 and decreasing (Green) : entry/exit long position, take profits or plan an entry
3. MTT < 0 and decreasing (Red) : Short position
4. MTT <0 and increasing (Maroon) : entry/exit short position, take profits or plan entry
This shows the market waves, it's a good indicator for swing trading since it shows the change of direction of the trend, signals profit areas and entry/exit regions. Change in the direction of the trend can be spotted by the cross over the zero line or by trend divergences, H-H in the trend and L-H in the MTT indicator means a downtrend is close. L-L in the trend and H-L in the indicator means an uptrend is forming.
There is a bar in the zero line that shows the momentum direction, simple, green it's increasing, red, it's decreasing.
This indicator is meant to be a companion of the MTS indicator. When combined MTS shows the direction and strength of the trend, meanwhile MTT shows if the trend is weakening, gaining strength, confirms continuation or warns a reversal.
What I look from my indicators is to create a tool that filters out as much noise as possible without losing much sensitivity, they have to be easy to tune and simple to analyze, so I normally use contrasting colors, using cold colors for long positions and warm colors for short positions. I try to use the least possible number of parameters and the defaults have been set after several months of testing in Beta mode against hundreds of charts before publishing them.
I hope this effort can help you to have a simpler point of view of the market.
ADX Color Change by BehemothI find this tool to be the most valuable and accurate entry point indicator along with moving averages and the VWAP.
ADX Color Indicator - Controls & Intraday Trading Benefits
Indicator Controls:
1. ADX Length (default: 14)
- Controls the calculation period for ADX
- Lower values (7-10) = more sensitive, faster signals (better for scalping)
- Higher values (14-20) = smoother, fewer false signals (better for swing trades)
- *Intraday tip:* Try 10-14 for most intraday timeframes
2. Show Threshold Levels (default: On)
- Displays the 20 and 25 horizontal lines
- Helps you quickly identify when ADX crosses key strength levels
3. Use Custom Timeframe (default: Off)
- Allows viewing higher timeframe ADX on lower timeframe charts
- *Example:* Trade on 5-min chart but see 15-min or 1-hour ADX
4. Custom Timeframe
- Select any timeframe: 1m, 5m, 15m, 30m, 1H, 4H, D, etc.
- *Intraday tip:* Use 15m or 1H ADX on 5m charts for better trend context
5. Show +DI and -DI (default: Off)
- Shows directional movement indicators
- Green line (+DI) > Red line (-DI) = bullish trend
- Red line (-DI) > Green line (+DI) = bearish trend
6. Show Background Zon es (default: Off)
- Visual background colors for quick trend strength identification
- Green = strong trend (ADX > 25)
- Yellow = moderate trend (ADX 20-25)
Intraday Trading Benefits:
1. Avoid Choppy Markets
- When ADX < 20 (no background color), market is ranging
- Reduces false breakout trades and whipsaws
- Save time and capital by stepping aside during low-quality setups
2. Identify High-Probability Trend Trades
- **Green line + Green zone** = strong trend building, look for pullback entries
- Yellow line crossing above 20 = early trend formation signal
- Catch trends early when ADX starts rising from below 20
3. Multi-Timeframe Analysis
- Use custom timeframe to align with higher timeframe trends
- *Example:* If 1H ADX shows green (strong trend), take breakout trades on 5m chart in same direction
- Increases win rate by trading with the bigger picture
4. Exit Signals
- When ADX turns red (falling), trend is weakening
- Consider tightening stops or taking profits
- Avoid entering new positions when ADX is declining
5. Quick Visual Confirmation
- Color coding eliminates need to analyze numbers
- Instant recognition: Green = go, Yellow = caution, Red = trend dying
- Faster decision-making during fast market moves
6. Scalping Strategy
- Set ADX length to 7-10 for sensitive signals
- Only scalp when ADX is rising (blue, yellow, or green)
- Exit when ADX turns red
7. Breakout Confirmation
- Wait for ADX to rise above 20 after a breakout
- Filters false breakouts in ranging markets
- Yellow or green color confirms momentum behind the move
Optimal Intraday Settings:
- Day Trading (5-15 min charts):** ADX Length = 10-14
- Scalping (1-5 min charts):** ADX Length = 7-10, watch custom 15m timeframe
- Swing Intraday (30min-1H charts):** ADX Length = 14-20
Simple Trading Rules:
✅ Trade: ADX rising + above 20 (yellow or green)
⚠️ Caution: ADX flat or just crossed 20
❌ Avoid:*ADX falling (red) or below 20
The key advantage is staying out of low-quality, choppy price action which is where most intraday traders lose money!
Advanced Seasonality Pro🎯 HOW TO USE THE ADVANCED SEASONALITY MODEL
📊 UNDERSTANDING THE COMPONENTS
1. MAIN SIGNALS
STRONG BUY (▲): Strong buy signal - Signal > 0.3
WEAK BUY (●): Weak buy signal - Signal 0.1 to 0.3
STRONG SELL (▼): Strong sell signal - Signal < -0.3
WEAK SELL (●): Weak sell signal - Signal -0.1 to -0.3
NEUTRAL: No clear signal
2. INFORMATION TABLE
text
SIGNAL : STRONG BUY ← Most important
MARKET : BULL/BEAR/SIDEWAYS
VOLATILITY : HIGH/LOW/NORMAL
PRICE LEVEL : NEAR RESIST/NEAR SUPPORT/MID-RANGE
RSI : Current RSI value
SIGNAL VALUE: 0.250 ← Signal strength
MONTH : Jan/Feb/... ← Monthly effect
CONFIDENCE : 75% ← Confidence level
🚀 TRADING STRATEGIES
A. FOR BEGINNERS
pinescript
// ONLY TRADE WHEN:
1. SIGNAL = STRONG BUY/STRONG SELL
2. CONFIDENCE > 50%
3. MARKET aligns (Bull market for BUY, Bear market for SELL)
4. Not near resistance (for BUY) or near support (for SELL)
B. FOR EXPERIENCED TRADERS
pinescript
// IDEAL CONDITIONS:
STRONG BUY + BULL MARKET + LOW VOLATILITY + RSI < 60 + NOT NEAR RESISTANCE
STRONG SELL + BEAR MARKET + HIGH VOLATILITY + RSI > 40 + NOT NEAR SUPPORT
⏰ BEST TRADING TIMES
Monthly Patterns:
Strong buys: January, October, December (January Effect, Santa Rally)
Strong sells: September (September Effect)
Caution: March-August (summer low volatility)
Daily/Weekly Patterns:
Week start (Monday): Stronger signals
Week end (Friday): Reduced strength
Month start (1st-5th): Positive bias
Month end (after 25th): Caution advised
📈 PRACTICAL ENTRY STRATEGIES
BUY ORDERS:
pinescript
// WHEN STRONG BUY APPEARS:
1. Wait for price pullback to SMA20 or support
2. Place BUY order with stop loss below recent low
3. Take profit at nearest resistance
4. Minimum risk reward ratio 1:2
SELL ORDERS:
pinescript
// WHEN STRONG SELL APPEARS:
1. Wait for price rally to near resistance
2. Place SELL order with stop loss above recent high
3. Take profit at nearest support
4. Minimum risk reward ratio 1:2
🛡️ RISK MANAGEMENT
Position Sizing:
pinescript
// FORMULA:
Risk per trade = 1-2% of account
Stop loss = 1-2% from entry point
Strong signal → 2% risk
Weak signal → 1% risk
CANCEL Conditions:
pinescript
1. Signal changes from STRONG to WEAK/NEUTRAL
2. RSI enters overbought/oversold zones (>70/<30)
3. Price breaks key levels
4. Sudden volatility spike
🔍 PRACTICAL EXAMPLES
Scenario 1: STRONG BUY
text
SIGNAL: STRONG BUY (0.35)
MARKET: BULL
VOLATILITY: LOW
PRICE LEVEL: MID-RANGE
RSI: 45
MONTH: January
CONFIDENCE: 80%
→ GOOD SIGNAL: Execute BUY order
Scenario 2: WEAK SELL
text
SIGNAL: WEAK SELL (-0.15)
MARKET: SIDEWAYS
VOLATILITY: HIGH
PRICE LEVEL: NEAR SUPPORT
RSI: 35
MONTH: September
CONFIDENCE: 25%
→ WEAK SIGNAL: DO NOT trade
📱 IMPORTANT NOTES
NEVER:
Trade against the signal
Skip stop loss orders
Trade when confidence < 30%
Trade multiple timeframes simultaneously
Let emotions influence decisions
ALWAYS:
Backtest strategy first
Paper trade before using real money
Combine with fundamental analysis
Monitor economic news
Review trades weekly
🎯 CONCLUSION
This model works BEST when:
Combined with other indicators (volume, trend lines)
Used on multiple timeframes
Applied with strict risk management
Patiently waiting for perfect setups
Only trade when at least 3/5 conditions are favorable! 🚀
💡 PRO TIPS
Use on 12H charts for optimal seasonality patterns
Combine with volume confirmation for higher accuracy
Adjust seasonal strength based on market conditions
Monitor economic calendars for news events
Keep trading journal to track performance
🔧 CUSTOMIZATION OPTIONS
You can adjust these parameters in the script:
seasonalStrength: Increase/decrease seasonal influence
usePriceAction: Toggle price action filters
useMarketRegime: Toggle market condition filters
lookbackYears: Adjust historical data period
Remember: No strategy is 100% accurate. Always use proper risk management and never risk more than you can afford to lose!
Enhanced MA Crossover Pro📝 Strategy Summary: Enhanced MA Crossover Pro
This strategy is an advanced, highly configurable moving average (MA) crossover system designed for algorithmic trading. It uses the crossover of two customizable MAs (a "Fast" MA 1 and a "Slow" MA 2) as its core entry signal, but aggressively integrates multiple technical filters, time controls, and dynamic position management to create a robust and comprehensive trading system.
💡 Core Logic
Entry Signal: A bullish crossover (MA1 > MA2) generates a Long signal, and a bearish crossover (MA1 < MA2) generates a Short signal. Users can opt to use MA crossovers from a Higher Timeframe (HTF) for the entry signal.
Confirmation/Filters: The basic MA cross signal is filtered by several optional indicators (see Filters section below) to ensure trades align with a broader trend or momentum context.
Position Management: Trades are managed with a sophisticated system of Stop Loss, Take Profit, Trailing Stops, and Breakeven stops that can be fixed, ATR-based, or dynamically adjusted.
Risk Management: Daily limits are enforced for maximum profit/loss and maximum trades per day.
⚙️ Key Features and Customization
1. Moving Averages
Primary MAs (MA1 & MA2): Highly configurable lengths (default 8 & 20) and types: EMA, WMA, SMA, or SMMA/RMA.
Higher Timeframe (HTF) MAs: Optional MAs calculated on a user-defined resolution (e.g., "60" for 1-hour) for use as an entry signal or as a trend confirmation filter.
2. Multi-Filter System
The entry signal can be filtered by the following optional conditions:
SMA Filter: Price must be above a 200-period SMA for long trades, and below it for short trades.
VWAP Filter: Price must be above VWAP for long trades, and below it for short trades.
RSI Filter: Long trades are blocked if RSI is overbought (default 70); short trades are blocked if RSI is oversold (default 30).
MACD Filter: Requires the MACD Line to be above the Signal Line for long trades (and vice versa for short trades).
HTF Confirmation: Requires the HTF MA1 to be above HTF MA2 for long entries (and vice versa).
3. Dynamic Stop and Target Management (S/L & T/P)
The strategy provides extensive control over exits:
Stop Loss Methods:
Fixed: Fixed tick amount.
ATR: Based on a multiple of the Average True Range (ATR).
Capped ATR: ATR stop limited by a maximum fixed tick amount.
Exit on Close Cross MA: Position is closed if the price crosses back over the chosen MA (MA1 or MA2).
Breakeven Stop: A stop can be moved to the entry price once a trigger distance (fixed ticks or Adaptive Breakeven based on ATR%) is reached.
Trailing Stop: Can be fixed or ATR-based, with an optional feature to auto-tighten the trailing multiplier after the breakeven condition is met.
Profit Target: Can be a fixed tick amount or a dynamic target based on an ATR multiplier.
4. Time and Session Control
Trading Session: Trades are only taken between defined Start/End Hours and Minutes (e.g., 9:30 to 16:00).
Forced Close: All open positions are closed near the end of the session (e.g., 15:45).
Trading Days: Allows specific days of the week to be enabled or disabled for trading.
5. Risk and Position Limits
Daily Profit/Loss Limits: The strategy tracks daily realized and unrealized PnL in ticks and will close all positions and block new entries if the user-defined maximum profit or maximum loss is hit.
Max Trades Per Day: Limits the number of executed trades in a single day.
🎨 Outputs and Alerts
Plots: Plots the MA1, MA2, SMA, VWAP, and HTF MAs (if enabled) on the chart.
Shapes: Plots visual markers (BUY/SELL labels) on the bar where the MA crossover occurs.
Trailing Stop: Plots the dynamic trailing stop level when a position is open.
Alerts: Generates JSON-formatted alerts for entry ({"action":"buy", "price":...}) and exit ({"action":"exit", "position":"long", "price":...}).
Central Limit Theorem Reversion IndicatorDear TV community, let me introduce you to the first-ever Central Limit Theorem indicator on TradingView.
The Central Limit Theorem is used in statistics and it can be quite useful in quant trading and understanding market behaviors.
In short, the CLT states: "When you take repeated samples from any population and calculate their averages, those averages will form a normal (bell curve) distribution—no matter what the original data looks like."
In this CLT indicator, I use statistical theory to identify high-probability mean reversion opportunities in the markets. It calculates statistical confidence bands and z-scores to identify when price movements deviate significantly from their expected distribution, signaling potential reversion opportunities with quantifiable probability levels.
Mathematical Foundation
The Central Limit Theorem (CLT) says that when you average many data points together, those averages will form a predictable bell-curve pattern, even if the original data is completely random and unpredictable (which often is in the markets). This works no matter what you're measuring, and it gets more reliable as you use more data points.
Why using it for trading?
Individual price movements seem random and chaotic, but when we look at the average of many price movements, we can actually predict how they should behave statistically. This lets us spot when prices have moved "too far" from what's normal—and those extreme moves tend to snap back (mean reversion).
Key Formula:
Z = (X̄ - μ) / (σ / √n)
Where:
- X̄ = Sample mean (average return over n periods)
- μ = Population mean (long-term expected return)
- σ = Population standard deviation (volatility)
- n = Sample size
- σ/√n = Standard error of the mean
How I Apply CLT
Step 1: Calculate Returns
Measures how much price changed from one bar to the next (using logarithms for better statistical properties)
Step 2: Average Recent Returns
Takes the average of the last n returns (e.g., last 100 bars). This is your "sample mean."
Step 3: Find What's "Normal"
Looks at historical data to determine: a) What the typical average return should be (the long-term mean) and b) How volatile the market usually is (standard deviation)
Step 4: Calculate Standard Error
Determines how much sample averages naturally vary. Larger samples = smaller expected variation.
Step 5: Calculate Z-Score
Measures how unusual the current situation is.
Step 6: Draw Confidence Bands
Converts these statistical boundaries into actual price levels on your chart, showing where price is statistically expected to stay 95% and 99% of the time.
Interpretation & Usage
The Z-Score:
The z-score tells you how statistically unusual the current price deviation is:
|Z| < 1.0 → Normal behavior, no action
|Z| = 1.0 to 1.96 → Moderate deviation, watch closely
|Z| = 1.96 to 2.58 → Significant deviation (95%+), consider entry
|Z| > 2.58 → Extreme deviation (99%+), high probability setup
The Confidence Bands
- Upper Red Bands: 95% and 99% overbought zones → Expect mean reversion downward as the price is not likely to cross these lines.
- Center Gray Line: Statistical expectation (fair value)
- Lower Blue Bands: 95% and 99% oversold zones → Expect mean reversion upward
Trading Logic:
- When price exceeds the upper 95% band (z-score > +1.96), there's only a 5% probability this is random noise → Strong sell/short signal
- When price falls below the lower 95% band (z-score < -1.96), there's a 95% statistical expectation of upward reversion → Strong buy/long signal
Background Gradient
The background color provides real-time visual feedback:
- Blue shades: Oversold conditions, expect upward reversion
- Red shades: Overbought conditions, expect downward reversion
- Intensity: Darker colors indicate stronger statistical significance
Trading Strategy Examples
Hypothetically, this is how the indicator could be used:
- Long: Z-score < -1.96 (below 95% confidence band)
- Short: Z-score > +1.96 (above 95% confidence band)
- Take profit when price returns to center line (Z ≈ 0)
Input Parameters
Sample Size (n) - Default: 100
Lookback Period (m) - Default: 100
You can also create alerts based on the indicator.
Final notes:
- The indicator uses logarithmic returns for better statistical properties
- Converts statistical bands back to price space for practical use
- Adaptive volatility: Bands automatically widen in high volatility, narrow in low volatility
- No repainting: yay! All calculations use historical data only
Feedback is more than welcome!
Henri
Gold 15m: Trend + S/R + Liquidity Sweep (RR 1:2)This strategy is designed for short-term trading on XAUUSD (Gold) using the 15-minute timeframe. It combines trend direction, support/resistance pivots, liquidity sweep detection, and momentum confirmation to identify high-probability reversal setups in line with the dominant market trend.
⚙️ Core Logic:
Trend Filter (EMA 200):
The strategy only takes long positions when price is above the 200 EMA and short positions when price is below it.
Support/Resistance via Pivots:
Dynamic swing highs and lows are identified using pivot points. These act as local supply and demand levels where liquidity is likely to accumulate.
Liquidity Sweep Detection:
A bullish liquidity sweep occurs when price briefly breaks below the last pivot low (grabbing liquidity) and then closes back above it.
A bearish sweep occurs when price breaks above the last pivot high and then closes back below.
Momentum & Candle Strength:
The strategy filters signals based on candle range and body size to ensure entries occur during strong price reactions, not weak retracements.
Risk Management (1:2 RR):
Stop-loss is placed slightly beyond the last pivot level using ATR-based buffers, and take-profit is set at 2× the risk distance, maintaining a reward-to-risk ratio of 1:2.
💼 Trade Logic Summary:
Long Entry:
After a bullish liquidity sweep & reclaim, momentum confirmation, and trend alignment (above EMA 200).
Short Entry:
After a bearish sweep & reclaim, momentum confirmation, and trend alignment (below EMA 200).
Exit:
Automated via ATR-based Stop Loss and Take Profit targets.
📊 Customization Options:
Adjustable EMA length, pivot settings, ATR multipliers, and RR ratio.
Option to enable/disable trend filter.
Toggle display of S/R zones on chart.
🧠 Best Use:
Works best during London and New York sessions when Gold shows strong momentum.
Can be adapted for forex pairs and indices by tuning ATR and pivot parameters.
Serenity Model VIPI — by yuu_iuHere’s a concise, practical English guide for Serenity Model VIPI (Author: yuu_iu). It covers what it is, how to set it up for daily trading, how to tune it, and how we guarantee non-repainting.
Serenity Model VIPI — User Guide (Daily Close, Non‑Repainting)
Credits
- Author: yuu_iu
- Producer: yuu_iu
- Platform: TradingView (Pine Script v5)
1) What it is
Serenity Model VIPI is a multi‑module, context‑aware trading model that fuses signals from:
- Entry modules: VCP, Flow, Momentum, Mean Reversion, Breakout
- Exit/risk modules: Contrarian, Breakout Sell, Volume Delta Sell, Peak Detector, Overbought Exit, Profit‑Take
- Context/memory: Learns per Ticker/Sector/Market Regime and adjusts weights/aggression
- Learning engine: Runs short “fake trades” to learn safely before scaling real trades
It produces a weighted, context‑adjusted score and a final decision: BUY, SELL, TAKE_PROFIT, or WAIT.
2) How it works (high level)
- Each module computes a score per bar.
- A fusion layer combines module scores using accuracy and base weights, then adjusts by:
- Market regime (Bull/Bear/Sideways) and optional higher‑timeframe (HTF) bias
- Risk control neuron
- Context memory (ticker/sector/regime)
- Optional LLM mode can override marginal cases if context supports it.
- Final decision is taken at bar close only (no intrabar repaint).
3) Non‑repainting guarantee (Daily)
- Close‑only execution: All key actions use barstate.isconfirmed, so signals/entries/exits only finalize after the daily candle closes.
- No lookahead on HTF data: request.security() reads prior‑bar values (series ) for HTF close/EMA/RSI.
- Alerts at bar close: Alerts are fired once per bar close to prevent mid‑bar changes.
What this means: Once the daily bar closes, the decision and alert won’t be repainted.
4) Setup (TradingView)
- Paste the Pine v5 code into Pine Editor, click Add to chart.
- Timeframe: 1D (Daily).
- Optional: enable a date window for training/backtest
- Enable Custom Date Filter: ON
- Set Start Date / End Date
- Create alert (non‑repainting)
- Condition: AI TRADE Signal
- Options: Once Per Bar Close
- Webhook (optional): Paste your URL into “System Webhook URL (for AI events)”
- Watch the UI
- On‑chart markers: AI BUY / AI SELL / AI TAKE PROFIT
- Right‑side table: Trades, Win Rate, Avg Profit, module accuracies, memory source, HTF trend, etc.
- “AI Thoughts” label: brief reasoning and debug lines.
5) Daily trading workflow
- The model evaluates at daily close and may:
- Enter long (BUY) when buy votes + total score exceed thresholds, after context/risk checks
- Exit via trailing stop, hard stop, TAKE_PROFIT, or SELL decision
- Learning mode:
- Triggers short “fake trades” every N bars (default 3) and measures outcome after 5 bars
- Improves module accuracies and adjusts aggression once stable (min fake win% threshold)
- Memory application:
- When you change tickers, the model tries to apply Ticker or Sector memory for the current market regime to pre‑bias module weights/aggression.
6) Tuning (what to adjust and why)
Core controls
- Base Aggression Level (default 1.0): Higher = more trades and stronger decisions; start conservative on Daily (1.0–1.2).
- Learning Speed Multiplier (default 3): Faster adaptation after fake/real trades; too high can overreact.
- Min Fake Win Rate to Exit Learning (%) (default 10–20%): Raises the bar before trusting more real trades.
- Fake Trade Every N Bars (default 3): Frequency of learning attempts.
- Learning Threshold Win Rate (default 0.4): Governs when the learner should keep learning.
- Hard Stop Loss (%) (default 5–8%): Global emergency stop.
Multi‑Timeframe (MTF)
- Enable Multi‑Timeframe Confirmation: ON (recommended for Daily)
- HTF Trend Source: HOSE:VNINDEX for VN equities (or CURRENT_SYMBOL if you prefer)
- HTF Timeframe: D or 240 (for a strong bias)
- MTF Weight Adjustment: 0.2–0.4 (0.3 default is balanced)
Module toggles and base weights
- In strong uptrends: increase VCP, Momentum, Breakout (0.2–0.3 typical)
- In sideways low‑vol regimes: raise MeanRev (0.2–0.3)
- For exits/defense: Contrarian, Peak, Overbought Exit, Profit‑Take (0.1–0.2 each)
- Keep Flow on as a volume‑quality filter (≈0.2)
Memory and control
- Enable Shared Memory Across Tickers: ON to share learning
- Enable Sector‑Based Knowledge Transfer: ON to inherit sector tendencies
- Manual Reset Learning: Use sparingly to reset module accuracies if regime changes drastically
Risk management
- Hard Stop Loss (%): 5–8% typical on Daily
- Trailing Stop: ATR‑ and volatility‑adaptive; tightens faster in Bear/High‑Vol regimes
- Max hold bars: Shorter in Bear or Sideways High‑Vol to cut risk
Alerts and webhook
- Use AI TRADE Signal with Once Per Bar Close
- Webhook payload is JSON, including event type, symbol, time, win rates, equity, aggression, etc.
7) Recommended Daily preset (VN equities)
- MTF: Enable, Source: HOSE:VNINDEX, TF: D, Weight Adj: 0.3
- Aggression: 1.1
- Learning Speed: 3
- Min Fake Win Rate to Exit Learning: 15%
- Hard SL: 6%
- Base Weights:
- VCP 0.25, Momentum 0.25, Breakout 0.15, Flow 0.20
- MeanRev 0.20 (raise in sideways)
- Contrarian/Peak/Overbought/Profit‑Take: 0.10–0.20
- Leave other defaults as is, then fine‑tune by symbol/sector.
8) Reading the UI
- Table highlights: Real Trades, Win Rate, Avg Profit, Fake Actions/Win%, VCP Acc, Aggression, Equity, Score, Status (LEARNING/TRADING/REFLECTION), Last Real, Consec Loss, Best/Worst Trade, Pattern Score, Memory Source, Current Sector, AI Health, HTF Trend, Scheduler, Memory Loaded, Fake Active.
- Shapes: AI BUY (below bar), AI SELL/TAKE PROFIT (above bar)
- “AI Thoughts”: module contributions, context notes, debug lines
9) Troubleshooting
- No trades?
- Ensure timeframe is 1D and the date filter covers the chart range
- Check Scheduler Cooldown (3 bars default) and that barstate.isconfirmed (only at close)
- If MTF is ON and HTF is bearish, buy bias is reduced; relax MTF Weight Adjustment or module weights
- Too many/too few trades?
- Lower/raise Base Aggression Level
- Adjust base weights on key modules (raise entry modules to be more active; raise exit/defense modules to be more selective)
- Learning doesn’t end?
- Increase Min Fake Win Rate to Exit Learning only after it’s consistently stable; otherwise lower it or reduce Fake Trade Every N Bars
10) Important notes
- The strategy is non‑repainting at bar close by design (confirmed bars + HTF series + close‑only alerts).
- Backtest fills may differ from live fills due to slippage and broker rules; this is normal for all TradingView strategies.
- Always validate settings across multiple symbols and regimes before going live.
If you want, I can bundle this guide into a README section in your Pine code and add a small on‑chart signature (Author/Producer: yuu_iu) in the top‑right corner.
London Breakout Structure by Ale 2This indicator identifies market structure breakouts (CHOCH/BOS) within a specific London session window, highlighting potential breakout trades with automatic entry, stop loss (SL), and take profit (TP) levels.
It helps traders focus on high-probability breakouts when volatility increases after the Asian session, using price structure, ATR-based volatility filters, and a custom risk/reward setup.
🔹 Example of Strategy Application
Define your session (e.g. 04:00 to 05:00).
Wait for a CHOCH (Change of Character) inside this session.
If a bullish CHOCH occurs → go LONG at candle close.
If a bearish CHOCH occurs → go SHORT at candle close.
SL is set below/above the previous swing using ATR × multiplier.
TP is calculated automatically based on your R:R ratio.
📊 Example:
When price breaks above the last swing high within the session, a “BUY” label appears and the indicator draws Entry, SL, and TP levels automatically.
If the breakout fails and price closes below the opposite structure, a “SELL” signal will replace the bullish setup.
🔹 Details
The logic is based on structural shifts (CHOCH/BOS):
A CHOCH occurs when price breaks and closes beyond the most recent high/low.
The indicator dynamically detects these shifts in structure, validating them only inside your chosen time window (e.g. the London Open).
The ATR filter ensures setups are valid only when the range has enough volatility, avoiding false signals in low-volume hours.
You can also visualize:
The session area (purple background)
Entry, Stop Loss, and Take Profit levels
Direction labels (BUY/SELL)
ATR line for volatility context
🔹 Configuration
Start / End Hour: define your preferred trading window.
ATR Length & Multiplier: adjust for volatility.
Risk/Reward Ratio: set your desired R:R (default 1:2).
Minimum Range Filter: avoids signals with tight SLs.
Alerts: receive notifications when breakout conditions occur.
🔹 Recommendations
Works best on 15m or 5m charts during London session.
Designed for breakout and structure-based traders.
Works on Forex, Crypto, and Indices.
Ideal as a visual and educational tool for understanding BOS/CHOCH behavior.
VWAP & Band Cross Strategy v6 - AdvancedThese are a few updates made to the original script. The daily take profit and stop loss functions correctly for 1 contract but because of the pyramiding input even if not used you'll need to multiply the values by the number of contracts to keep consistent results. I have been unable to correct that function. Let me know if you test the script and have any recommendations for improvement. If trading an actual account I do recommend setting hard daily limits with your provider because there is still slippage from the original exit alerts even with the daily stop loss in place.
1. Real-Time Execution & Hard PnL Limits (The Focus)
The most critical changes were implemented to ensure the daily profit and loss limits act as hard, real-time barriers instead of waiting for the candle to close.
• Intrabar Tick Execution: The parameter calc_on_every_tick=true was added to the strategy() declaration. This forces the entire script to re-evaluate its logic on every single price update (tick), enabling immediate action.
• Real-Time PnL Tracking: The PnL calculation was updated to track the total_daily_pnl by summing the realized profit/loss (from closed trades) and the unrealized profit/loss (strategy.openprofit) on every tick.
• Immediate Closure: The script now checks the total_daily_pnl against the user-defined limits (daily_take_profit_value, daily_stop_loss_value) and immediately executes strategy.close_all() the moment the threshold is breached, preventing further trading.
• Combined Risk Enforcement: The user-defined "Max Intraday Risk ($)" and the "Daily Stop Loss (Value)" are compared, and the script enforces the tighter of the two limits.
2. Visibility and External Alerting
To address the unavoidable issue of slippage (which causes price overshoot in fast markets even with tick execution), dedicated alert mechanisms were added.
• Dedicated Alert Condition: An alertcondition named DAILY PNL LIMIT REACHED was added. This allows you to set up a TradingView alert that triggers the instant the daily_limit_reached variable turns true, giving you the fastest possible notification.
• Visual Marker: A large red triangle (\u25b2) is plotted on the chart using plotchar at the exact moment the daily limit condition is met, providing a clear visual confirmation of the trigger bar.
3. Strategy Features and Input Flexibility
Several user-requested features were integrated to make the strategy more robust and customizable.
• Trailing Stop / Breakeven (TSL/BE): A new exit option, Fixed Ticks + TSL, was added, allowing you to set a fixed profit target while also deploying a trailing stop or breakeven level based on points/ticks gained.
• Multiple Exit Types: The exit strategy was expanded to include logic for several types: Fixed Ticks, ATR-based, Capped ATR-based, VWAP Cross, and Price/Band Crosses.
• Pyramiding Control: An input Max Pyramiding Entries was introduced to control how many positions the strategy can have open at the same time.
• Confirmation Logic Toggle: Added an input to choose how multiple confirmation indicators (RSI, SMMA, MACD) are combined: "AND" (all must be true) or "OR" (at least one must be true).
• Indicator Confirmations: Logic for three external indicators—RSI, SMMA (EMA), and MACD—was fully integrated to act as optional filters for entry.
• VWAP Reset Anchors: Logic was corrected to properly reset the VWAP calculation based on the selected period ("Daily", "Weekly", or "Session") by using Pine Script v6's required anchor series.
Trading Day Filters: Inputs were added to select which specific days of the week the strategy is allowed to trade.
Advanced Psychological Levels with Dynamic Spacing═══════════════════════════════════════
ADVANCED PSYCHOLOGICAL LEVELS WITH DYNAMIC SPACING
═══════════════════════════════════════
A comprehensive psychological price level indicator that automatically identifies and displays round number levels across multiple timeframes. Features dynamic ATR-based spacing, smart crypto detection, distance tracking, and customizable alert system.
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WHAT THIS INDICATOR DOES
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This indicator automatically draws psychological price levels (round numbers) that often act as support and resistance:
- Dynamic ATR-Based Spacing - Adapts level spacing to market volatility
- Multiple Level Types - Major (250 pip), Standard (100 pip), Mid, and Intraday levels
- Smart Asset Detection - Automatically adjusts for Forex, Crypto, Indices, and CFDs
- Crypto Price Adaptation - Intelligent level spacing based on cryptocurrency price magnitude
- Distance Information Table - Real-time percentage distance to nearest levels
- Combined Level Labels - Clear identification when multiple level types coincide
- Performance Optimized - Configurable visible range and label limits
- Comprehensive Alerts - Notifications when price crosses any level type
───────────────────────────────────────
HOW IT WORKS
───────────────────────────────────────
PSYCHOLOGICAL LEVELS CONCEPT:
Psychological levels are round numbers where traders tend to place orders, creating natural support and resistance zones. These include:
- Forex: 1.0000, 1.0100, 1.0050 (pips)
- Crypto: $100, $1,000, $10,000 (whole numbers)
- Indices: 10,000, 10,500, 11,000 (points)
Why They Matter:
- Traders naturally gravitate to round numbers
- Stop losses cluster at these levels
- Take profit orders concentrate here
- Institutional algorithmic trading often targets these levels
DYNAMIC ATR-BASED SPACING:
Traditional Method:
- Fixed spacing regardless of volatility
- May be too tight in volatile markets
- May be too wide in quiet markets
Dynamic Method (Recommended):
- Uses ATR (Average True Range) to measure volatility
- Automatically adjusts level spacing
- Tighter levels in low volatility
- Wider levels in high volatility
Calculation:
1. Calculate ATR over specified period (default: 14)
2. Multiply by ATR multiplier (default: 2.0)
3. Round to nearest psychological level
4. Generate levels at dynamic intervals
Benefits:
- Adapts to market conditions
- More relevant levels in all volatility regimes
- Reduces clutter in trending markets
- Provides more detail in ranging markets
LEVEL TYPES:
Major Levels (250 pip/point):
- Highest significance
- Primary support/resistance zones
- Color: Red (default)
- Style: Solid lines
- Spacing: 2.5x standard step
Standard Levels (100 pip/point):
- Secondary importance
- Common psychological barriers
- Color: Blue (default)
- Style: Dashed lines
- Spacing: Standard step
Mid Levels (50% between major):
- Optional intermediate levels
- Halfway between major levels
- Color: Gray (default)
- Style: Dotted lines
- Usage: Additional confluence points
Intraday Levels (sub-100 pip):
- For intraday traders
- Fine-grained precision
- Color: Yellow (default)
- Style: Dotted lines
- Only shown on intraday timeframes
SMART ASSET DETECTION:
Forex Pairs:
- Detects major currency pairs automatically
- Uses pip-based calculations
- Standard: 100 pips (0.0100)
- Major: 250 pips (0.0250)
- Intraday: 20, 50, 80 pip subdivisions
Cryptocurrencies:
- Automatic price magnitude detection
- Adaptive spacing based on price:
* Under $0.10: Levels at $0.01, $0.05
* $0.10-$1: Levels at $0.10, $0.50
* $1-$10: Levels at $1, $5
* $10-$100: Levels at $10, $50
* $100-$1,000: Levels at $100, $500
* $1,000-$10,000: Levels at $1,000, $5,000
* Over $10,000: Levels at $5,000, $10,000
Indices & CFDs:
- Fixed point-based system
- Major: 500 point intervals (with 250 sub-levels)
- Standard: 100 point intervals
- Suitable for stock indices like SPX, NASDAQ
COMBINED LEVEL LABELS:
When multiple level types coincide at the same price:
- Single line drawn (highest priority color)
- Combined label shows all types
- Priority: Major > Standard > Mid > Intraday
Example Label Formats:
- "1.1000 Major" - Major level only
- "1.1000 Std + Major" - Both standard and major
- "50000 Intra + Mid + Std" - Three levels coincide
Benefits:
- Cleaner chart appearance
- Clear identification of confluence
- Reduced visual clutter
- Easy to spot high-importance levels
DISTANCE INFORMATION TABLE:
Real-time tracking of nearest levels:
Table Contents:
- Nearest major level above (price and % distance)
- Nearest standard level above (price and % distance)
- Nearest standard level below (price and % distance)
Display:
- Top right corner (configurable)
- Color-coded by level type
- Real-time percentage calculations
- Helpful for position management
Usage:
- Identify proximity to key levels
- Set realistic profit targets
- Gauge potential move magnitude
- Monitor approaching resistance/support
ALERT SYSTEM:
Comprehensive crossing alerts:
Alert Types:
- Major Level Crosses
- Standard Level Crosses
- Intraday Level Crosses
Alert Modes:
- First Cross Only: Alert once when level is crossed
- All Crosses: Alert every time level is crossed
Alert Information:
- Level type crossed
- Specific price level
- Direction (above/below)
- One alert per bar to prevent spam
Configuration:
- Enable/disable by level type
- Choose alert frequency
- Customize for your trading style
───────────────────────────────────────
HOW TO USE
───────────────────────────────────────
INITIAL SETUP:
General Settings:
1. Enable "Use Dynamic ATR-Based Spacing" (recommended)
2. Set ATR Period (14 is standard)
3. Adjust ATR Multiplier (2.0 is balanced)
Visibility Settings:
1. Set Visible Range % (10% recommended for clarity)
2. Adjust Label Offset for readability
3. Configure performance limits if needed
Level Selection:
1. Enable/disable level types based on trading style
2. Adjust line counts for each type
3. Choose line styles and colors for visibility
TRADING STRATEGIES:
Breakout Trading:
1. Wait for price to approach major or standard level
2. Monitor for consolidation near level
3. Enter on confirmed break above/beyond level
4. Stop loss just beyond the broken level
5. Target: Next major or standard level
Rejection Trading:
1. Identify major psychological level
2. Wait for price to test the level
3. Look for rejection signals (wicks, bearish/bullish candles)
4. Enter in direction of rejection
5. Stop beyond the level
6. Target: Previous level or mid-level
Range Trading:
1. Identify range between two major levels
2. Buy at lower psychological level
3. Sell at upper psychological level
4. Use standard and mid-levels for position management
5. Exit if major level breaks with volume
Confluence Trading:
1. Look for combined levels (Std + Major)
2. These represent high-probability zones
3. Use as primary support/resistance
4. Increase position size at confluence
5. Expect stronger reactions at these levels
Session-Based Trading:
1. Note opening level at session start (Asian/London/NY)
2. Trade breakouts of major levels during high-volume sessions
3. London/NY sessions: More likely to break levels
4. Asian session: More likely to respect levels (range trading)
RISK MANAGEMENT WITH PSYCHOLOGICAL LEVELS:
Stop Loss Placement:
- Place stops just beyond psychological levels
- Add buffer (5-10 pips for forex)
- Avoid exact round numbers (stop hunting risk)
- Use previous major level as maximum stop
Take Profit Strategy:
- First target: Next standard level (partial profit)
- Second target: Next major level (remaining position)
- Trail stops to breakeven at first target
- Use distance table to calculate risk/reward
Position Sizing:
- Larger positions at major levels (higher probability)
- Smaller positions at intraday levels (lower probability)
- Scale in at standard levels between major levels
- Reduce size when multiple levels are close together
TIMEFRAME CONSIDERATIONS:
Higher Timeframes (4H, Daily, Weekly):
- Focus on Major and Standard levels only
- Disable Intraday and Mid levels
- Wider level spacing expected
- Use for swing trading and position trading
Lower Timeframes (5m, 15m, 1H):
- Enable all level types
- Use Intraday levels for precision
- Tighter level spacing acceptable
- Good for day trading and scalping
Multi-Timeframe Approach:
- Identify major levels on Daily/4H charts
- Refine entries using 15m/1H intraday levels
- Trade in direction of higher timeframe bias
- Use lower timeframe levels for position management
───────────────────────────────────────
CONFIGURATION GUIDE
───────────────────────────────────────
GENERAL SETTINGS:
Dynamic ATR-Based Spacing:
- Enabled: Recommended for most markets
- Disabled: Fixed psychological levels
- ATR Period: 14 (standard), 10 (responsive), 20 (smooth)
- ATR Multiplier: 1.0-5.0 (2.0 is balanced)
VISIBILITY SETTINGS:
Visible Range %:
- 5%: Very tight range, minimal clutter
- 10%: Balanced view (recommended)
- 20%: Wide range, more context
- 50%: Maximum range, all levels visible
Label Offset:
- 10-20 bars: Close to current price
- 30-50 bars: Moderate distance
- 50-100 bars: Far from price action
Performance Limits:
- Max Historical Bars: Reduce if indicator loads slowly
- Max Labels: Reduce for cleaner chart (20-30 recommended)
LEVEL CUSTOMIZATION:
Line Count:
- Lower (1-3): Cleaner chart, fewer levels
- Medium (4-6): Balanced view
- Higher (7-10): More context, busier chart
Line Styles:
- Solid: High importance, easy to see
- Dashed: Medium importance, clear but subtle
- Dotted: Low importance, minimal visual weight
Colors:
- Use contrasting colors for different level types
- Red/Blue/Yellow default works well
- Adjust based on chart background and personal preference
DISTANCE TABLE:
Position:
- Top Right: Doesn't interfere with price action
- Top Left: Good for right-side price scale
- Bottom positions: Less common but available
Colors:
- Default (white text, dark background) works for most charts
- Match your chart theme for consistency
- Ensure text is readable against background
ALERT CONFIGURATION:
Alert by Level Type:
- Major: Most important, fewer false signals
- Standard: Balance of frequency and importance
- Intraday: Many signals, best for active traders
Alert Frequency:
- First Cross Only: Cleaner, less noise (recommended for swing trading)
- All Crosses: Every touch, good for scalping
Alert Setup in TradingView:
1. Configure desired alert types in indicator settings
2. Right-click chart → Add Alert
3. Select this indicator
4. Choose "Any alert() function call"
5. Set delivery method (mobile, email, webhook)
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ASSET-SPECIFIC TIPS
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FOREX (EUR/USD, GBP/USD, etc.):
- Major levels at x.x000, x.x500
- Standard levels at x.xx00
- Intraday levels at 20/50/80 pips
- Most effective during London/NY sessions
- Watch for "figure" levels (1.0000, 1.1000)
CRYPTOCURRENCIES (BTC, ETH, etc.):
- Enable dynamic spacing for volatile markets
- Levels adjust automatically based on price
- Watch major $1,000 increments for BTC
- $100 levels important for ETH
- Smaller caps: Use standard levels
- High volatility: Increase ATR multiplier to 3.0
STOCK INDICES (SPX, NASDAQ, etc.):
- 100-point levels most important
- 500-point levels for major S/R
- 50-point mid-levels for refinement
- Watch end-of-day for level reactions
- Futures often lead spot on level breaks
GOLD/COMMODITIES:
- Major levels at $50 increments ($1,900, $1,950)
- Standard levels at $10 increments
- Very reactive to psychological levels
- Watch for false breaks during low volume
- Best reactions during active trading hours
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BEST PRACTICES
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Chart Setup:
- Use clean price action charts
- Avoid too many indicators
- Ensure psychological levels are clearly visible
- Match colors to your chart theme
Level Selection:
- Start with Major and Standard levels only
- Add Mid and Intraday as needed
- Less is more - avoid chart clutter
- Adjust based on timeframe
Combining with Other Tools:
- Volume profile for confluence
- Trendlines intersecting psychological levels
- Moving averages near round numbers
- Fibonacci levels coinciding with psychological levels
Common Mistakes to Avoid:
- Trading every level touch (be selective)
- Ignoring volume confirmation
- Setting stops exactly at levels (stop hunting)
- Forgetting to adjust for different assets
- Over-relying on levels without price action confirmation
Performance Optimization:
- Reduce visible range for faster loading
- Lower max historical bars on lower timeframes
- Limit labels to 30-50 for clarity
- Disable unused level types
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EDUCATIONAL DISCLAIMER
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This indicator identifies psychological price levels based on round numbers that tend to act as support and resistance. The methodology includes:
- Round number detection algorithms
- ATR-based dynamic spacing calculations
- Asset-specific level determination
- Distance percentage calculations
Psychological levels are a recognized concept in technical analysis, studied by traders and institutions. However, they do not guarantee price reactions and should be used as part of a comprehensive trading strategy including proper risk management, volume analysis, and price action confirmation.
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USAGE DISCLAIMER
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This tool is for educational and analytical purposes. Psychological levels can act as support or resistance but price reactions are not guaranteed. Dynamic spacing may generate different levels in different market conditions. Always conduct independent analysis, use proper risk management, and never risk capital you cannot afford to lose. Past performance does not indicate future results.
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CREDITS & ATTRIBUTION
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Original Concept: Sonar Lab
💻 RSI Dual-Band Reversal Strategy (Hacker Mode)This 💻 RSI Dual-Band Reversal Strategy (Hacker Mode) is a mean-reversion trading strategy built on the Relative Strength Index (RSI) indicator.
It identifies potential trend reversals when price momentum reaches extreme overbought or oversold levels — then enters trades expecting the price to revert.
⚙️ Strategy Concept
The RSI measures market momentum on a scale of 0–100.
When RSI is too low, it signals an oversold market → potential buy.
When RSI is too high, it signals an overbought market → potential sell.
This strategy sets two reversal zones using dual RSI bands:
Zone RSI Range Meaning Action
Upper Band 80–90 Overbought Prepare to Sell
Lower Band 10–20 Oversold Prepare to Buy
🧩 Code Breakdown
1. Input Parameters
rsiLength = input.int(14)
upperBandHigh = input.float(90.0)
upperBandLow = input.float(80.0)
lowerBandLow = input.float(10.0)
lowerBandHigh = input.float(20.0)
You can adjust:
RSI Length (default 14) → sensitivity of the RSI.
Upper/Lower Bands → control when buy/sell triggers occur.
2. RSI Calculation
rsi = ta.rsi(close, rsiLength)
Calculates the RSI of the closing price over 14 periods.
3. Signal Logic
buySignal = ta.crossover(rsi, lowerBandHigh)
sellSignal = ta.crossunder(rsi, upperBandLow)
Buy Signal: RSI crosses up through 20 → market rebounding from oversold.
Sell Signal: RSI crosses down through 80 → market turning from overbought.
4. Plotting
RSI line (lime green)
Bands:
🔴 80–90 (Sell Zone)
🟢 10–20 (Buy Zone)
Gray midline at 50 for reference.
Triangle markers for signals:
🟢 “BUY” below chart
🔴 “SELL” above chart
5. Trading Logic
if (buySignal)
strategy.entry("Buy", strategy.long)
if (sellSignal)
strategy.entry("Sell", CRYPTO:BTCUSD strategy.short OANDA:XAUUSD )
Opens a long position on a buy signal.
Opens a short position on a sell signal.
No explicit stop loss or take profit — positions reverse when an opposite signal appears.
🧠 How It Works (Step-by-Step Example)
RSI drops below 20 → oversold → buy signal triggers.
RSI rises toward 80 → overbought → sell signal triggers.
Strategy flips position, always staying in the market (either long or short).
📈 Visual Summary
Imagine the RSI line oscillating between 0 and 100:
100 ────────────────────────────────
90 ───── Upper Band High (Sell Limit)
80 ───── Upper Band Low (Sell Trigger)
50 ───── Midline
20 ───── Lower Band High (Buy Trigger)
10 ───── Lower Band Low (Buy Limit)
0 ────────────────────────────────
When RSI moves above 80 → SELL
When RSI moves below 20 → BUY
⚡ Strategy Profile
Category Description
Type Mean Reversion
Entry Rule RSI crosses up 20 → Buy
Exit/Reverse Rule RSI crosses down 80 → Sell
Strengths Simple, effective in sideways/range markets, minimal lag
Weaknesses Weak in strong trends, no stop-loss or take-profit logic
💡 Suggested Improvements
You can enhance this script by adding:
Stop loss & take profit levels (e.g., % or ATR-based).
Trend filter (e.g., trade only in direction of 200 EMA).
RSI smoothing to reduce noise.
Forex Dynamic Lot Size CalculatorForex Dynamic Lot Size Calculator for Forex. Works on USD Base and USD Quote pairs. Provides real-time data based on stop-loss location. Allows you to know in real-time how the number of lots you need to purchase to match your risk %.
Number of Lots is calculated based on total risk. Total risk is calculated based on Stop-Loss + Commission + Spread Fees + Slippage measured in pips. Also includes data such as break-even pips, net take profit, margin required, buying power used, and a few others. All are real-time and anchored to the current price.
The intention of creating this indicator is to help with risk management. You know exactly how many lots you need to get this very moment to have your total risk at lets say $250, which includes commission fees, spread fees, and slippage.
To put it simply, if I was to enter the trade right now and willing to risk exactly $250, how many lots will I need to get right this second?
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- To use adjust Account Settings along with other variables.
- Stop Loss Mode can be Manual or Dynamic. If you select Dynamic, then you will have to adjust Stop Loss Level to where you can see the reference line on the screen. It is at 1.1 by default. Just enter current price and the line will appear. Adjust it by dragging it to where you want your stop loss to be.
- Take Profit Mode can also be Manual or Dynamic. I just keep my TP at Manual and use Quick Access to set Quick RR levels.
- Adjust Spreads and Slippage to your liking. I tried to have TV calculate current spread, but it seem like it doesn't have access to real-life data for me like MT5 does. I just use average instead. Both are optional, depending on your broker and type of account you use.
- Pip Value for the current pair, Return on Margin, and Break-even line can be turned on and off, based on your needs. I just get the Break-even value in pips from the pannel and use that as reference where I need to relocate my stop loss to break-ever (commission + spreds + slippage).
- Panel is fully customizable based on your liking. Important fields are highlighted along with reference lines.






















