JWAT INDYHere’s a **professional, clear, and trader-friendly description** of your **Bollinger Band Mean Reversion Strategy**, written so you can use it in TradingView, a backtest report, or even in your trading plan document:
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### 📊 **Bollinger Band Mean Reversion Strategy – Description**
This strategy is designed to exploit short-term overextensions in price relative to its statistical mean using **Bollinger Bands** as the primary volatility framework. It assumes that when price deviates significantly from the mean (the middle band), market conditions are temporarily stretched, creating a high-probability opportunity for **reversion to the mean**.
The system uses a standard **20-period Bollinger Band** with a **2.0 standard-deviation multiplier** to define overbought and oversold zones. When price closes below the **lower band**, it signals potential exhaustion of selling pressure and triggers a **long (buy)** setup. Conversely, when price closes above the **upper band**, it indicates overbought conditions and triggers a **short (sell)** setup.
To improve trade quality and avoid false reversals, the strategy integrates **ADX (Average Directional Index)** or another trend filter to confirm that volatility expansion is not part of a strong trending move. Trades are taken only when the market is in a **low-to-moderate trend environment**, where mean-reverting behavior is statistically favored.
Each trade aims for a modest **take-profit target near the middle Bollinger Band (the moving average)**, representing a return to equilibrium, with a predefined **stop loss** beyond recent highs or lows to control risk. Position sizing can be dynamic—based on account equity or fixed contract size—to allow compounding through consistent percentage-based risk.
This approach is particularly effective on **short intraday timeframes (e.g., 1-minute or 5-minute SPY charts)**, where frequent oscillations occur within tight volatility bands. The goal is to capture small, repeatable edges from market overreactions while maintaining a strict discipline in trade execution and risk management.
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### 🧩 **Key Features**
* Core indicator: **Bollinger Bands (20, 2.0)**
* Confirmation filter: **ADX threshold (e.g., <25)** to identify ranging conditions
* Entry logic:
* Long when price closes below lower band
* Short when price closes above upper band
* Exit logic:
* Take profit at the mid-band
* Stop loss beyond prior swing or fixed % distance
* Optional filters: Time of day, session volatility, or multi-timeframe trend confirmation
* Ideal for: **Mean-reversion scalping** on liquid instruments like SPY, QQQ, or futures
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Would you like me to write a **shorter version (2–3 sentences)** for your TradingView strategy description box — or keep this **full detailed version** for a trading plan document or presentation?
Średnie kroczące
Bitcoin Buy-the-Dip Line (Auto timeframe switch)Many people ask me when is the right time to buy Bitcoin. However, most of them have little trading experience and no time to study technical strategies or tools.
That’s why I created a simple and intuitive indicator — easy enough for anyone to use.
Usage 1 – Buy the Dip
This indicator works only on 4H, 1D, 1W, and 1M timeframes.
On each timeframe, you will see a single EMA line.
During a bull market, whenever the price dips below this EMA, it usually represents a good opportunity to buy the dip .
Usage 2 – Bull to Bear Transition
On the daily timeframe, if the price stays below the EMA and continues to make lower lows , it often signals that the market is transitioning into a bearish phase .
Colored HMASimply a colored HMA. Perfect for trend following systems in combination with other indicators.
XAUUSD EMA20/50 + RSI + MACD + ATR Stops(with manual ADX)_VladevThe strategy is that when EMA20 crosses below EMA50 in a downward direction, RSI is below 50, and MACD histogram is in red, I enter a SELL/SHORT position, and vice versa, when EMA20 crosses above EMA50 in an upward direction, the RSI is above 50, and the MACD histogram is green, I enter a BUY/LONG position.
I want you to take a detailed look at my strategy and tell me how you can improve it to make it more successful! Also, give me some ideas on how to position Take Profit and Stop Loss!
Translated with DeepL.com (free version)
XAU_VladevXAUUSD EMA-RSI-MACD ATR Strategy that analyse the chart and by combining Oscillators, EMA's and trend way, strategy creates exact StopLoss and TakeProfit areas
Candle PlotUsed Linear Regression Candles by ugurvu
Added Regular and Heiken Ashi candles to choices
Added ability to choose timeframe but I find it does not look great when showing higher timeframes
To keep main chart less cluttered, I will add this indicator to my chart and then move a secondary indicator from the chart into it. You will need to pin the scale of the indicator to the scale of the Candle Plot.
Or, you can have the regular chart set to Regular candle and the Candle Plot set to Heiken Ashi or vice versa.
ORBs, EMAs, AVWAPThis Pine Script (version 6) is a multi-session trading indicator that combines Opening Range Breakouts (ORBs), Exponential Moving Averages (EMAs), and an Anchored VWAP (AVWAP) system — all in one overlay script for TradingView.
Here’s a clear breakdown of its structure and functionality:
🕒 1. Session Logic and ORB Calculation
Purpose: Identify and plot the high and low of the first 30 minutes (default) for the Tokyo, London, and New York trading sessions.
Session Anchors (NY time):
Tokyo → 20:00
London → 03:00
New York → 09:30
(All configurable in inputs.)
ORB Duration: Default is 30 minutes (orbDurationMin), also user-configurable.
Resets:
London and NY ORBs reset at the start of each new New York trading day (17:00 NY time).
Tokyo ORB resets independently using a stored timestamp.
Process:
For each session:
While the time is within the ORB window, the script captures the session’s high and low.
Once the window closes, those levels remain plotted until reset.
Plot Colors:
Tokyo → Yellow (#fecc02)
London → Gray (#8c9a9c)
New York → Magenta (#ff00c8)
These form visible horizontal lines marking the prior session ranges — useful for breakout or retest trading setups.
📈 2. EMA System
Purpose: Provide trend and dynamic support/resistance guidance.
It calculates and plots four EMAs:
EMA Period Color Purpose
EMA 9 Short-term Green Fast signal
EMA 20 Short-term Red Confirms direction
EMA 113 Medium Aqua Trend filter
EMA 200 Long-term Orange Macro trend baseline
Each EMA is plotted directly on the price chart for visual confluence with ORB and VWAP levels.
⚖️ 3. Anchored VWAP (AVWAP)
Purpose: Display a volume-weighted average price anchored to specific timeframes or events, optionally with dynamic deviation or percentage bands.
Features:
Anchor Options:
Time-based: Session, Week, Month, Quarter, Year, Decade, Century
Event-based: Earnings, Dividends, Splits
VWAP resets when the chosen anchor condition is met (e.g., new month, new earnings event, etc.).
Bands:
Up to three levels of symmetric upper/lower bands.
Choose between Standard Deviation or Percentage-based widths.
Display Toggles:
Each band’s visibility is optional.
VWAP can be hidden on 1D+ timeframes (hideonDWM option).
Color Scheme:
VWAP: Fuchsia (magenta-pink) line
Bands: Green / Olive / Teal with light-filled zones
⚙️ 4. Technical Highlights
Uses ta.vwap() with built-in band calculations.
Handles instruments with or without volume (errors if missing volume).
Uses time-zone aware timestamps (timestamp(NY_TZ, …)).
Uses timeframe.change() to detect new anchors for the VWAP.
Employs persistent variables (var) to maintain session state across bars.
💡 In Practice
This indicator is designed for multi-session intraday traders who:
Trade Tokyo, London, or NY open breakouts or retests.
Use EMA stacking and crossovers for trend confirmation.
Use Anchored VWAP as a fair-value or mean-reversion reference.
Need clear visual structure across different market sessions.
It provides strong session separation, trend context, and volume-weighted price reference — making it ideal for discretionary or semi-systematic trading strategies focused on liquidity zones and session momentum.
200W MA Valuation ZonesInspired by "Crypto Currently"
📈 200-Week MA Valuation Zones Indicator
This script visualizes long-term valuation zones based on the 200-week moving average (MA) — a widely followed metric for identifying major market cycle bottoms and tops.
It divides price levels into five distinct zones relative to the 200W MA:
🟦 Very Cheap — Below 200W MA
🟩 Cheap — 1.0× to 1.5× 200W MA
🟨 Fair Value — 1.5× to 2.0× 200W MA
🟧 Expensive — 2.0× to 2.5× 200W MA
🟥 Very Expensive — Above 2.5× 200W MA
You can choose to anchor zones to the current price or display full historical bands.
Color-coded regions and labels make it easy to identify when an asset is historically undervalued or overvalued based on long-term moving averages.
EMAs de JahazielThis indicator displays seven Exponential Moving Averages (EMA 5, 6, 9, 20, 50, 100, and 200) to help identify short-, medium-, and long-term market trends.
When shorter EMAs (5, 6, 9) cross above longer EMAs (50, 100, 200), it suggests increasing bullish momentum and potential uptrend continuation.
Conversely, when shorter EMAs cross below longer EMAs, it indicates potential bearish momentum and a possible downtrend.
📈 The combination of these EMAs helps traders visualize market structure, momentum shifts, and key dynamic support/resistance levels.
🧠 Suitable for scalping, intraday trading, swing trading, or confirming higher time frame trends across any market — Forex, indices, crypto, or commodities.
Volatility Channel Oscillator█ OVERVIEW
"Volatility Channel Oscillator" is a technical indicator that analyzes price volatility relative to dynamic price channels, displaying an oscillator, its moving average, and signals based on crossovers and divergences. The indicator offers customizable overbought and oversold levels, gradient visualization, and divergence detection, supported by alerts for key signals.
█ CONCEPTS
The VCO indicator creates dynamic price channels based on a moving average of the price (calculated as the arithmetic mean of the high and low prices: (high + low) / 2) and market volatility (measured as the average candle range and body size). These channels are not displayed on the chart but are used to calculate the oscillator value, which reflects the position of the closing price relative to the channel width, scaled to a range from -100 to +100, with the zero line as the central point. A moving average of the oscillator (SMA) smooths its values, enabling signals based on crossovers with the zero line or overbought/oversold levels. The indicator also detects divergences between price and the oscillator, which may indicate potential trend reversals. VCO is useful for identifying market momentum, reversal points, and trend confirmation, especially when combined with other technical analysis tools.
█ FEATURES
- Volatility Channels: Calculates invisible chart boundaries based on a simple moving average (SMA) of the price (high + low) / 2 and volatility (average candle range and body). The length parameter (default 30) sets the SMA length, and scale (default 200%) adjusts the channel width.
- Oscillator: Determines the oscillator value in the range of -100 to +100, indicating the closing price's position relative to the volatility channel. Displayed with dynamic coloring (green for positive values, red for negative).
- Oscillator Moving Average: A simple moving average (SMA) of the oscillator values, smoothing its movements. The signalLength parameter (default 20) defines the SMA length. Displayed in yellow with an optional gradient.
- Overbought/Oversold Levels: Configurable thresholds for the oscillator (overbought, default 50; oversold, default -50) and its moving average (maOverbought, default 30; maOversold, default -30), shown as horizontal lines with optional gradients. Band colors change dynamically (red for overbought, green for oversold, gray for neutral) based on the moving average's position relative to maOverbought/maOversold, reinforcing other signals.
- Divergences: Detects bullish (price forms a lower low, oscillator a higher low) and bearish (price forms a higher high, oscillator a lower high) divergences using pivots (pivotLength, default 2). Divergences are displayed with a delay equal to the pivot length; larger lengths increase reliability but delay signals. Use as additional confirmation.
Signals:
- Overbought/Oversold Crossovers: Green triangles (buy) when the oscillator crosses above the oversold level, red triangles (sell) when it crosses below the overbought level.
- Zero Line Crossovers: Buy/sell signals when the oscillator crosses the zero line upward (buy) or downward (sell).
- Moving Average Crossovers: Buy/sell signals when the oscillator's moving average crosses the zero line or the maOverbought/maOversold levels. Dynamic band color changes (red/green) at these crossovers reinforce other signals.
- Visualization: Gradient lines for the oscillator, its moving average, overbought/oversold levels, and zero line, with adjustable transparency. Gradient fill between the oscillator and zero line.
Divergence Labels: "Bull" (bullish) and "Bear" (bearish) labels with customizable color and transparency.
- Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero line crossovers by the oscillator and its moving average.
█ HOW TO USE
Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView.
Configure Settings:
- Channel and Oscillator Settings: Adjust the channel SMA length (length, default 30) and channel scaling (scale, default 200%). Increase scale for high-volatility markets.
- Threshold Levels: Set oscillator overbought (overbought, default 50) and oversold (oversold, default -50) levels, and moving average thresholds (maOverbought, default 30; maOversold, default -30).
- Divergence Settings: Enable/disable divergence detection (calculateDivergence) and set pivot length (pivotLength, default 2). Larger values increase reliability but delay signals.
- Signal Settings: Choose signal types (signalType): overbought/oversold, zero line, moving average, or all.
- Styling: Customize colors for the oscillator, moving average, horizontal levels, and divergence labels. Adjust gradient and fill transparency.
Interpreting Signals:
- Buy Signals: Green triangles below the bar when the oscillator or its moving average crosses above the oversold level or zero line.
- Sell Signals: Red triangles above the bar when the oscillator or its moving average crosses below the overbought level or zero line.
- Moving Average Signals: Green/red triangles when the moving average crosses maOverbought/maOversold levels, indicating potential reversals or trend continuation. Dynamic band color changes (red for overbought, green for oversold) at these crossovers reinforce other signals.
- Divergences: "Bull" (bullish) and "Bear" (bearish) labels indicate potential trend reversals with a delay based on pivot length. Use as confirmation.
- Overbought/Oversold Levels: Monitor price reactions in these zones as potential reversal points. Dynamic band color changes based on the moving average reinforce signals.
Signal Confirmation: Use VCO with other tools, such as pivot levels (for key turning points) or Fibonacci levels (for support/resistance zones).
█ APPLICATIONS
- Trend Trading: Zero line crossovers by the oscillator or its moving average identify momentum in uptrends or downtrends.
- Range Trading: Overbought/oversold levels help identify entry/exit points in sideways markets.
- Divergences: Use bullish/bearish divergences as additional confirmation of reversals, especially near key price levels.
- Trend Identification: To analyze trends over a longer perspective, increase the moving average length (signalLength) for more stable signals.
█ NOTES
- Test the indicator across different timeframes and markets to optimize parameters, such as length and scale, for your trading style.
- In strong trends, overbought/oversold levels may persist, requiring additional signal verification.
- Divergences are more reliable on higher timeframes (H4, D1), where market noise is reduced, but their delay requires caution.
- In low-liquidity markets, signals may be less effective, so use on high-liquidity assets is recommended.
Sicari Momentum OscillatorSicari Momentum Oscillator (SMO)
What is it?
The Sicari Momentum Oscillator (SMO) is a price–volume momentum framework designed to quantify directional conviction in the market. It measures the acceleration of price movement relative to underlying participation, highlighting when momentum is being confirmed or contradicted by volume flow.
i) Uses exponential moving averages (EMAs) to calculate momentum rather than SMAs for faster response
ii) Identifies bullish and bearish divergences between price and momentum to anticipate exhaustion
iii) Integrates On-Balance Volume (OBV) to map volume momentum in real time
iv) Flags confluence where both price and volume momentum align, signalling stronger continuation potential
How it works
i) When EMAs expand or contract, the histogram adjusts dynamically to visualise the strength and direction of momentum
ii) Divergences appear when price and oscillator move in opposite directions - often preceding local tops or bottoms
iii) OBV is processed through the same EMA structure to produce a clean, comparable momentum curve
iv) Confluence dots appear only when both price and volume momentum agree in direction, marking periods of high-quality momentum
How to use it
i) Combine with the main Sicari indicator to validate directional bias and detect early trend transitions
ii) Watch for divergence to anticipate potential reversals or waning momentum
iii) Confluence dots indicate alignment between price and participation - a signal of underlying market strength or weakness
🟢 Bullish confluence when both price and volume expand upward
🔴 Bearish confluence when both contract in unison
The SMO distills the market’s internal rhythm into a single, adaptive pulse - delivering institutional-grade precision, clarity, and timing within the Sicari ecosystem.
Diwali Lights Pro — 7-Diyas Signal Matrix [KedArc Quant]🎯 Overview
“Diwali Lights Pro — 7-Diyas Signal Matrix” is a precision-built trend-sentiment indicator that blends the glow of seven technical “diyas” — each representing a different momentum or strength dimension — into one intuitive signal matrix. It was designed to celebrate light, discipline, and clarity in trading — helping traders filter noise, identify strong trend shifts, and take trades with conviction. Each diya is powered by a proven indicator component: RSI, Stochastic, EMA trend strength, and momentum slopes.Together, they light up your chart with buy/sell signals only when technical confluence aligns — like the diyas of Diwali shining in harmony.
💡 Core Concept
The indicator computes a composite score (–9 to +9) by evaluating seven key parameters:
| # | Diya | Logic | Interpretation |
| 1 | RSI | Overbought / Oversold | Short-term momentum exhaustion |
| 2 | Stochastic | Direction & zones | Confirmation of RSI |
| 3 | Price vs EMA20 | Position of price | Near-term trend bias |
| 4 | EMA20 Slope | Short-term momentum | Strength confirmation |
| 5 | EMA50 Slope | Mid-term trend | Trend stability |
| 6 | EMA100 Slope | Medium-term sentiment | Institutional bias |
| 7 | EMA200 Slope | Long-term sentiment | Market direction baseline |
The total of these 7 diyas creates a signal matrix that dynamically adapts to trend conditions.
⚙️ Inputs & Configuration
| RSI Length | 14 | Standard RSI window |
| Stochastic Length | 14 | Measures momentum oscillation |
| EMA Periods | 20, 50, 100, 200 | Multi-layer trend structure |
| Overbought / Oversold Zones | 70 / 30 | Configurable thresholds |
| Show Buy/Sell Labels | ✅ | Toggle signal markers |
| Show Banner | ✅ | Festive Diwali header with fireworks |
| Twinkle Interval | 10 bars | Animation timing |
| Fireworks Count | 18 | Visual celebration intensity |
| Background Opacity | 100% | Style preference |
🧭 Entry & Exit Logic
# ✅ Buy Signal (🪔)
A Buy triggers when:
* The total diya score crosses above zero,
* And at least four of seven components turn bullish.
This indicates that short-term oscillators, price action, and moving averages are all turning in unison — a strong entry zone after a pullback.
# 🔥 Sell Signal (🔥)
A Sell triggers when:
* The total diya score crosses below zero,
* And multiple slopes or price conditions flip bearish.
This flags weakening momentum and possible trend exhaustion.
# 💬 Suggested Usage
* Works beautifully on 5-min to 1-hour charts.
* Best when used with trend confirmation tools (volume, price structure).
* Avoid entering trades when signals flip rapidly within narrow ranges (sideways zones).
🧪 Mathematical Formulae
1. RSI Bucket (p₁):
p₁ =
2 if RSI < Very Oversold
1 if RSI < Oversold
0 if neutral
-1 if RSI > Overbought
-2 if RSI > Very Overbought
2. Stochastic Bucket (p₂): Similar to RSI bucketing.
3. Price vs EMA20 (p₃):
p₃ = sign(close - EMA20)
4–7. Slope Sign (EMA20, 50, 100, 200):
p₄₋₇ = sign(EMA - EMA )
Total Score = Σ(p₁…p₇)
→ Crossover(total_score, 0) → Buy Signal
→ Crossunder(total_score, 0) → Sell Signal
📊 Why It’s Not Just a Mash-Up
Diwali Lights Pro uses:
* A unified scoring engine with weighted logic rather than conflicting triggers.
* Each component (diya) contributes equally, creating a normalized sentiment index.
* Smart signal filtering prevents repetitive false flips by enforcing trend alignment across multiple time frames.
* A dynamic, responsive structure optimized for clarity and minimal repainting.
🎆 Unique Add-Ons
* Top-Right Diwali Banner: Festive “Happy Diwali” with animated fireworks 🎇 and diyas 🪔.
* Signal Filtering: Reduces noise in volatile ranges.
* EMA Cloud Context: Visual clarity of multi-layer trend zones.
* Optional Light Mode: Change fireworks opacity for a subtle or bright effect.
📘 FAQ
Q1: Does this repaint?
No — it uses confirmed values (RSI, Stochastic, EMA slopes). Signals appear only after the bar closes.
Q2: Which timeframes work best?
Between 5m and 1h, depending on your strategy.
Use higher EMAs for swing setups.
Q3: Can I use it with alerts?
Yes, both Buy and Sell triggers come with built-in `alertcondition()` for instant notifications.
Q4: Can it be combined with other indicators?
Absolutely — it pairs well with volume profiles, volatility bands, or order-flow systems.
🪔 Glossary
| Diya | Candle or light — here, each diya = one technical indicator |
| EMA | Exponential Moving Average — measures smoothed trend bias |
| RSI | Relative Strength Index — momentum overbought/oversold oscillator |
| Stochastic | Momentum oscillator measuring closing levels relative to highs/lows |
| Slope Sign | Direction of EMA movement — rising or falling |
| Signal Matrix | The combined system of all seven diyas generating a unified score |
🧭 Final Note
> *Diwali Lights Pro* is not just a trading tool — it’s a visual celebration of confluence and discipline.
> When the diyas align, trends shine. Use it to trade in harmony with light, not against it. 🌟
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
SMA RibbonThis indicator overlays multiple Simple Moving Averages (SMAs) on the price chart to help visualize both short- and long-term market trends. It includes five configurable SMA lines — 10, 21, 50, 100, and 200 periods by default — each plotted with distinct colors for quick differentiation.
Short-term averages (10 and 21) highlight near-term momentum, while medium- and long-term averages (50, 100, and 200) provide broader trend context and identify potential areas of dynamic support or resistance.
Users can easily adjust the period lengths and line thickness through the settings panel to fit different timeframes or trading styles.
Features
Plots 5 configurable SMAs (default: 10, 21, 50, 100, 200)
Adjustable line width and colors for visual clarity
Works seamlessly on any timeframe and instrument
Useful for identifying trend direction, strength, and key support/resistance zones
PivotBoss Oscillator (PBOsc)PivotBoss Oscillator (PBOsc) – Description
The PivotBoss Oscillator (PBOsc) is a momentum-based indicator derived from the PivotBoss PEMA Method, designed to identify market bias, trend strength, and potential reversals across all timeframes and instruments.
Unlike traditional oscillators, PBOsc measures the differential among three pivot-based EMAs (fast, medium, and slow) relative to the pivot point (PP) of each bar, allowing it to self-adjust dynamically with current market volatility.
Calculation Logic
Pivot Point (PP):
𝑃
𝑃
=
(
𝐻
𝑖
𝑔
ℎ
+
𝐿
𝑜
𝑤
+
𝐶
𝑙
𝑜
𝑠
𝑒
)
/
3
PP=(High+Low+Close)/3
Pivot-Based EMAs:
Fast PEMA = EMA(PP, fast length)
Medium PEMA = EMA(PP, medium length)
Slow PEMA = EMA(PP, slow length)
Differentials:
Diff1 = Fast PEMA − Slow PEMA
Diff2 = Medium PEMA − Slow PEMA
Diff3 = Fast PEMA − Medium PEMA
Oscillator Value:
𝑃
𝐵
𝑂
𝑠
𝑐
=
(
𝐷
𝑖
𝑓
𝑓
1
+
𝐷
𝑖
𝑓
𝑓
2
+
𝐷
𝑖
𝑓
𝑓
3
)
/
𝑃
𝑃
PBOsc=(Diff1+Diff2+Diff3)/PP
Interpretation
Above Zero Line (0): Bullish bias; momentum favors the upside.
Below Zero Line (0): Bearish bias; momentum favors the downside.
Advancing Bars (Green): PBOsc rising → Strengthening trend or positive momentum.
Declining Bars (Red): PBOsc falling → Weakening trend or negative momentum.
Analytical Uses
Change of Bias: Detects short-term shifts in market sentiment.
Trending Markets: Measures pullbacks or continuations within ongoing trends.
Divergence: Divergence between price and PBOsc can signal potential reversals.
Default Settings
Default: (8, 13, 21)
Alternate Presets: (5, 8, 13), (13, 21, 34), (21, 34, 55)
8/13/200 EMA Crossover ScreenerHold your Options Longer
Entry (Long):
-Daily Chart
-8 EMA crosses above 200 and 13 EMA
- Price remains above 200 EMA
-Break of Structure
EXIT/STOP:
-Stop under recent swing low
-Exit when prices crosses below 13 EMA
Why:
Keeps you trading with trend, filters noise, avoids fights with the market.
Run stock Screener with filters: Price > 200 EMA, 8 EMA > 13 EMA, 8 EMA > 200 EMA, Volume > 500,000.
Check for Buy Signal.
Visually confirm a recent swing high (a peak from the last 30 days) and verify if the price broke above it with strong volume.
Use Pine Script, modify it to create an alert of the stock that you screened.
REMS Synergy OverlayThis 3rd generation REMS indicator builds upon the foundations assessing the relationships between RSI, EMAs, MACDs, and Stochastic RSI across multiple timeframes. Designed to help traders identify less frequent, but high probability entries across 2 time frames. Uses 3 levels of confluence indicators for both long and short moves.
Confluence Level 1 (Highest Conviction):
Evaluates selected criteria across both timeframes. All selected criteria must be in confluence to trigger signal.
Confluence Level 2 (Moderate Conviction):
Selected criteria can be selected by each timeframe individually. All selected criteria must be in confluence to trigger signal.
Confluence Level 3 (Lower/supportive confluence):
Of the selected criteria, this level can evaluate a set number of conditions that must be met. Number of conditions is user-defined.
Includes VWAP and 4 EMAs as optional visual representations.
Includes 'Enhanced Candles' than can colour code candlesticks for better visual identification. (off by default)
Originally designed with 5 minute and 2 minute timeframes in mind, and pairs well with REMS First Strike and/or REMS Snap Shot indicators.
Values coded below:
RSI
-Primary: Length = 14, Smoothing = 20 (via SMA)
-Secondary: Length = 7, Smoothing = 20 (via SMA)
Stochastic RSI
Primary:
-RSI Length = 14
-Stochastic Length = 8
-%K = 3, %D = 3
Secondary:
-RSI Length = 7
-Stochastic Length = 7
-%K = 3, %D = 2
MACD - applied to both timeframes
-Fast = 12, Slow = 26, Signal = 9
Kalman Exponentialy Weighted Moving Average | MisinkoMasterThe Kalman Exponentialy Weighted Moving Average is a technical analysis tool providing users with more responsive and smoother signals, providing crystal-clear signals and giving investors valuable insights on market trends, however it could be used in many cases.
A deeper dive into the indicator:
When going through my creation of strategies, I had stumbled on an indicator called "EWMA", which worked decently, but it was far too simple in my opinion so I decided to combine the EMA & WMA, but with a little more complexity, and it has worked .
I began by learning how both MAs work, I already knew how WMA works, but EMA I did not.
After learning both I found out they were quite simple in principle and that there was a way to combine them in such way that you would get really good signals, however it was way too noisy.
While it could avoid major dumps that were not avoided by most indicators, it would lose that edge because of being too noisy.
After testing out many conditions, combinations & more, the best working one was this one:
WMA > KEWMA = long
WMA < KEWMA = short
I will explain this later, but this gave fast signals, and while it still was noisy it was better then before.
To smooth it out, I started testing price filters => Gaussian Filter and many more were tested out, but they either slowed it down to the point it was no longer of much use, or did not smooth it at all.
After testing the Kalman filter on this thing, I was shocked.
It was just right and made the indicator a lot better, smoothed it and kept most of the responsivness it had.
Now to the big question: "How is it calculated?"
Now first it needs to calculate the Kalman source, which smooths the source which will be used.
After that, we calculate the Weighted Moving Average for " n " period on the Kalman source.
Now that we have our WMA values, we need to calculate " a ".
a is calculated in the following formula:
a = 2/(1+ n )
where n is the user defined length
Now for the last part:
KEWMA = WMAyesterday * (1-a) + WMAtoday * a
This creates a very accurate and reactive indicator, that can prove useful in many uses, beyond those I will and did talk about.
For the trend logic as mentioned before:
Long = WMA > KEWMA
Short = WMA < KEWMA
This worked best, but you might find better ways of using it.
I think that is all I have to say about it, I left it open source so you can all code it in your strategies and play around with it.
Enjoy Gs!
Turtle Strategy - Triple EMA Trend with ADX and ATRDescription
The Triple EMA Trend strategy is a directional momentum system built on the alignment of three exponential moving averages and a strong ADX confirmation filter. It is designed to capture established trends while maintaining disciplined risk management through ATR-based stops and targets.
Core Logic
The system activates only under high-trend conditions, defined by the Average Directional Index (ADX) exceeding a configurable threshold (default: 43).
A bullish setup occurs when the short-term EMA is above the mid-term EMA, which in turn is above the long-term EMA, and price trades above the fastest EMA.
A bearish setup is the mirror condition.
Execution Rules
Entry:
• Long when ADX confirms trend strength and EMA alignment is bullish.
• Short when ADX confirms trend strength and EMA alignment is bearish.
Exit:
• Stop Loss: 1.8 × ATR below (for longs) or above (for shorts) the entry price.
• Take Profit: 3.3 × ATR in the direction of the trade.
Both parameters are configurable.
Additional Features
• Start/end date inputs for controlled backtesting.
• Selective activation of long or short trades.
• Built-in commission and position sizing (percent of equity).
• Full visual representation of EMAs, ADX, stop-loss, and target levels.
This strategy emphasizes clean trend participation, strict entry qualification, and consistent reward-to-risk structure. Ideal for swing or medium-term testing across trending assets.
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands.
Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping.
You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees.
It additionally helps taking trading decisions or not with very small trades (Scalping).
You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff.
Fee Overview in the current market for the indicator input field:
BingX with 10% fee reduction code = 0,045 %
BingX: Normal = 0,050 %
Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 %
Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 %
Have fun Trading, Happy Profits!
Greetings
ToniTrading
Proteus EMA SystemInstitutional-Grade EMA System
Overview and Originality
The Institutional-Grade EMA System is an advanced, multi-layered Exponential Moving Average (EMA) overlay indicator designed to provide institutional-level trend analysis, market regime identification, and trade signal generation. Unlike standard multi-EMA scripts that simply plot averages and basic crossovers, this indicator introduces a proprietary integration of features tailored for professional traders: customizable presets that dynamically adjust EMA lengths for specific trading styles (e.g., scalping vs. position trading), multiple selectable trend detection algorithms (including a unique multi-bar slope analysis with percentage-based strength thresholding), EMA alignment and confluence detection for spotting high-conviction trends and reversal zones, volume-based signal filtering, and a comprehensive statistics dashboard for real-time market insights.
What makes this script original and worthy of closed-source protection is the bespoke combination of these elements into a cohesive system. For instance, while basic EMA ribbons or trend coloring exist in other indicators, this script's trend detection goes beyond simple comparisons by incorporating a normalized slope percentage calculation (detailed below) to quantify trend strength on a 0-100% scale, integrated with EMA stacking checks and confluence thresholds. This proprietary logic—refined through extensive backtesting on diverse assets—allows for nuanced market regime classification (e.g., "Strong Uptrend" only when alignment, slope strength, and volume align), which isn't replicated in open-source alternatives. The closed-source format protects the exact orchestration of these algorithms, including custom threshold derivations and dashboard computations, preventing direct replication while allowing users full access to the tool's outputs. If published open-source, the unique mathematical formulations (e.g., slope-to-strength mapping) could be easily copied, diminishing its edge in competitive trading environments.
This indicator draws conceptual inspiration from institutional trend-following systems (e.g., those using multiple time-horizon EMAs like in hedge fund models), but enhances them with modern Pine Script capabilities for visual and analytical depth. It's particularly useful for traders seeking to reduce false signals in volatile markets by requiring multi-factor confluence.
What It Does
Core EMA Plotting and Visualization: Plots up to 7 EMAs (5 primary + 2 optional) with dynamic coloring based on detected trend direction and strength (strong bullish: bright green; weak: faded green; neutral: gray; etc.). Includes EMA ribbons (fills between consecutive EMAs) and clouds (broader fills between non-consecutive EMAs) to visualize trend expansion/contraction.
Trend Detection and Strength: Classifies trends as strong/weak bullish/bearish or neutral using user-selectable methods, with optional volume confirmation to filter low-conviction moves.
Advanced Analytics:
Detects EMA alignment (all EMAs stacked in ascending/descending order for bullish/bearish trends).
Identifies EMA confluence zones (tight clustering of EMAs, signaling potential reversals or consolidations).
Draws dynamic support/resistance lines from the nearest EMAs relative to price.
Signals and Alerts: Generates buy/sell signals on customizable EMA crossovers, only if volume thresholds are met. Includes alerts for crossovers, alignments, confluences, and regime shifts.
User Interface Enhancements: Background coloring for quick trend bias (e.g., green for uptrends, yellow for confluences), dynamic line widths (thicker for slower EMAs), trend state labels, and a table-based dashboard displaying metrics like market regime, trend strength percentage, EMA slopes in degrees, price distances to key EMAs, volume status, and alignment state.
Customization Presets: Pre-configured EMA lengths for Scalping (short, reactive: e.g., 5/8/13), Day Trading (balanced: 9/21/50), Swing Trading (medium-term: 20/50/100), Position Trading (long-term: 50/100/150), or fully custom.
The result is a versatile tool that adapts to any timeframe or asset, helping traders identify high-probability setups by combining trend momentum, volume, and EMA dynamics.
How It Works: Underlying Concepts and Calculations
Without revealing the full implementation, here's a transparent overview of the key concepts and methodologies to help users understand the indicator's logic:
EMA Calculation and Presets: EMAs are computed using standard exponential smoothing (weighting recent prices more heavily). Presets optimize lengths based on trading horizon—shorter for scalping to capture quick reversals, longer for position trading to filter noise. For example, Swing preset uses 20/50/100/150/200 to balance short-term pullbacks with long-term trends, derived from Fibonacci-inspired progressions for natural market rhythm alignment.
Trend Detection Methods: Users select from four algorithms for flexibility:
Multi-Bar Slope (Default): Calculates the average slope over a lookback period (e.g., 3 bars) as (current EMA value - EMA value ) / lookback. Normalizes to a percentage relative to the EMA value: slope_percent = (slope / EMA) * 100. Thresholds classify trends (e.g., >0.05% = strong bullish; 0.01-0.05% = weak; symmetric for bearish). This method draws from linear regression concepts but simplifies for real-time use, providing robust trend quantification over simple bar-to-bar changes.
Previous Bar: Compares current EMA to the prior bar's, with percentage change thresholds (e.g., >0.1% = strong) for quick momentum shifts.
EMA vs EMA: Measures the percentage difference between fast and slow EMAs (e.g., >2% = strong bullish), inspired by MACD-like divergence but applied directly to EMAs.
Price Position: Gauges price's percentage distance from the EMA (e.g., >1% above = strong bullish), similar to envelope channels but integrated into trend coloring.
Trend strength is further scored (0-100%) by averaging absolute slopes of key EMAs, scaled for dashboard display.
Volume Confirmation: Uses a simple moving average of volume over a user-defined length (default 20), requiring current volume to exceed it by a multiplier (default 1.2x) for signal validation. This filters out low-volume fakeouts, akin to institutional volume-weighted strategies.
EMA Alignment: Checks if all visible EMAs are in strict order (fastest highest in uptrends, lowest in downtrends) by iterating through active EMAs and verifying sequential relationships. Signals "ALIGNED" shapes when true, indicating stacked trends like in ribbon strategies but with programmatic validation.
EMA Confluence: Computes the average of active EMAs, then measures the maximum percentage deviation of any EMA from this average. If below a threshold (default 0.5%), marks a "CONFLUENCE ZONE" box, conceptually similar to Bollinger Band squeezes but applied to EMA clusters for reversal anticipation.
Market Regime Classification: Combines alignment, trend score (>30% for "strong"), and price position relative to slowest EMA. For example, bullish alignment + high score = "Strong Uptrend"; close clustering = "Consolidation". This heuristic draws from regime-switching models in quantitative finance.
Signals and Visuals: Crossovers between user-selected EMAs (e.g., fast #1 over slow #2) plot "BUY/SELL" shapes only if volume-confirmed. Ribbons use color fills (green/red) based on EMA order; background shades reflect regime; S/R lines extend from max/min EMAs below/above price over a lookback (default 50 bars).
These calculations ensure the indicator provides actionable, multi-confirmed insights rather than generic plots.
How to Use It
Setup: Add to your chart and select a preset (e.g., "Swing Trading" for 1H-4H charts). Customize trend method (start with "Multi-Bar Slope" for accuracy), enable volume filter for reliability, and toggle visuals like ribbons or dashboard.
Trend Following: In a "Strong Uptrend" (green background, upward slopes >30%, bullish alignment), go long above the fastest EMA. Use S/R lines for stops (below nearest support EMA).
Swing Trading Example: On a daily SPX chart with Swing preset:
Wait for "Weak Uptrend" transition to "Strong" (trend score >50%, positive slopes, volume spike).
Enter long on EMA1 (20) crossing EMA2 (50), confirmed by "BUY" signal.
Target next resistance EMA (e.g., 150), exit on bearish crossover or confluence zone (yellow box signaling potential top).
Risk: Stop below EMA3 (100); aim for 2:1 reward:risk on multi-day holds.
Scalp Trading Example: On a 5-min BTCUSD chart with Scalping preset:
Focus on quick "Weak Bullish" shifts (faded green EMAs, slope >0.01%).
Buy on EMA1 (5) crossing EMA3 (13) with high volume (>1.5x avg).
Scalp 0.2-0.5% gains, exit at slope flattening (dashboard shows <30% strength) or nearest resistance.
Avoid confluences (chop); use 1-min for entries, 15-min for bias.
General Tips:
Combine with price action (e.g., candlestick patterns at confluence zones).
Backtest presets on your asset—adjust thresholds for volatility (e.g., tighter confluence for forex).
Use alerts for hands-off monitoring; multi-timeframe analysis enhances accuracy (higher TF for regime, lower for signals).
For ranging markets ("Neutral" regime), fade extremes near S/R zones.
Examples for Swing Trading
Swing trading focuses on capturing medium-term moves (days to weeks) in trending markets. Use the "Swing Trading" preset, which sets EMAs to 20, 50, 100, 150, 200, 75, 125—balancing sensitivity and smoothness.
Bullish Setup Example: On a daily chart of AAPL, wait for a "Strong Uptrend" regime (green background, bullish alignment label, trend strength >50%). Enter long on a valid bullish crossover (green "BUY" circle) between EMA1 (20) and EMA2 (50), confirmed by high volume. Set stop below nearest support EMA (e.g., EMA3 at 100), target 2-3x risk or next resistance. Hold until bearish crossover or alignment breaks.
Bearish Setup Example: On a 4H chart of EURUSD, spot a "Strong Downtrend" (red background, bearish alignment). Short on a bearish crossover (red "SELL") between EMA1 and EMA3, with volume confirmation. Stop above nearest resistance EMA, exit on confluence zone (yellow) signaling potential reversal.
Tip: Focus on alignments for trend confirmation—avoid trading against them. Use confluence zones as profit-taking areas in ranging markets.
Examples for Scalp Trading
Scalping targets quick, short-term trades (minutes to hours) on lower timeframes. Select the "Scalping" preset for shorter EMAs (5, 8, 13, 21, 34, 55, 89) to catch rapid moves.
Bullish Setup Example: On a 1-min chart of BTCUSD, look for "Weak Uptrend" (faded green background, positive slopes). Enter long on a fast crossover (e.g., EMA1 over EMA2) with high volume and no confluence (avoid chop). Scalp for 0.5-1% gain, exit on slope flattening or bearish cross. Use tight stops below the fastest EMA.
Bearish Setup Example: On a 5-min chart of TSLA, identify "Weak Downtrend" (faded red). Short on a crossover between EMA2 and EMA3, confirmed by volume spike. Target small moves (e.g., 10-20 pips), exit at nearest support EMA or if trend strength drops below 30%.
Tip: Prioritize "Multi-Bar Slope" detection for quick trend shifts. Disable background if it's distracting; focus on crossovers and volume for high-frequency entries. Avoid during confluences, as they signal choppy conditions.
This detailed approach ensures traders can replicate setups while appreciating the indicator's original value. Feedback welcome—let's refine trading edges together!
