Enhanced Bollinger Bands📈 *Enhanced Bollinger Bands – Custom Indicator*
This custom indicator is a more flexible and informative version of the traditional *Bollinger Bands*, designed to help traders better visualize price volatility, trend direction, and breakout signals.
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🔍 Key Features:
✅ *Multiple Moving Average Options*
Choose between:
- *SMA (Simple Moving Average)*
- *EMA (Exponential Moving Average)*
- *WMA (Weighted Moving Average)*
This allows you to tailor the indicator to your trading strategy.
✅ *Dynamic Bands Based on Volatility*
The upper and lower bands are calculated using a user-defined standard deviation multiplier, showing volatility around the selected moving average.
✅ *Color-Coded Trend Visualization*
The bands change color based on the slope of the moving average:
- 🟢 *Green* when the trend is up
- 🔴 *Red* when the trend is down
- ⚪ *Gray* when the trend is flat
This helps traders visually confirm trend direction.
✅ *Optional Band Fill*
You can enable a shaded area between the upper and lower bands, making it easier to identify *volatility squeezes* and *expansions*.
✅ *Breakout Signal Arrows*
Automatic signal arrows appear when:
- 📈 Price *crosses above* the upper band (potential breakout)
- 📉 Price *crosses below* the lower band (potential breakdown)
These signals can help spot strong momentum entries.
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⚙️ Inputs:
- *MA Type:* SMA / EMA / WMA
- *Length:* Period for the moving average and standard deviation
- *Multiplier:* Standard deviation multiplier for band width
- *Source:*Price source (default: close)
- *Toggle Fill:* Turn band fill on/off
- *Toggle Signals:* Show or hide breakout arrows
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🧠 How to Use:
- Use band *tightening* as a sign of low volatility (possible breakout setup).
- Use band *expansion* to confirm high momentum moves.
- Use signal arrows for early entries on momentum plays.
- Combine with RSI, MACD, or volume indicators for confluence.
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Let me know if you want to write a version tailored for publishing on TradingView, including tags and disclaimers.
Indicators and strategies
Midpoint of Last 3 CandlesThis indicator highlights the market structure by plotting the midpoints of the current and previous two candles. It draws a horizontal line at the average of the high and low for each of these candles, giving a visual cue of the short-term balance point in price action. These midpoints can act as dynamic support and resistance levels, helping traders assess areas of potential reaction or continuation.
Each line is color-coded for clarity: green represents the current candle, orange marks the previous candle, and yellow indicates the one before that. All lines extend into the future on the chart, allowing you to see how price interacts with these levels as new candles form. This simple yet effective tool can be useful in various strategies, especially those focused on price action, scalping, or intraday analysis.
Uptrick: Dynamic Z-Score DeviationOverview
Uptrick: Dynamic Z‑Score Deviation is a trading indicator built in Pine Script that combines statistical filters and adaptive smoothing to highlight potential reversal points in price action. It combines a hybrid moving average, dual Z‑Score analysis on both price and RSI, and visual enhancements like slope‑based coloring, ATR‑based shadow bands, and dynamically scaled reversal signals.
Introduction
Statistical indicators like Z‑Scores measure how far a value deviates from its average relative to the typical variation (standard deviation). Standard deviation quantifies how dispersed a set of values is around its mean. A Z‑Score of +2 indicates a value two standard deviations above the mean, while -2 is two below. Traders use Z‑Scores to spot unusually high or low readings that may signal overbought or oversold conditions.
Moving averages smooth out price data to reveal trends. The Arnaud Legoux Moving Average (ALMA) reduces lag and noise through weighted averaging. A Zero‑Lag EMA (approximated here using a time‑shifted EMA) seeks to further minimize delay in following price. The RSI (Relative Strength Index) is a momentum oscillator that measures recent gains against losses over a set period.
ATR (Average True Range) gauges market volatility by averaging the range between high and low over a lookback period. Shadow bands built using ATR give a visual mood of volatility around a central trend line. Together, these tools inform a dynamic but statistically grounded view of market extremes.
Purpose
The main goal of this indicator is to help traders spot short‑term reversal opportunities on lower timeframes. By requiring both price and momentum (RSI) to exhibit statistically significant deviations from their norms, it filters out weak setups and focuses on higher‑probability mean‑reversion zones. Reversal signals appear when price deviates far enough from its hybrid moving average and RSI deviates similarly in the same direction. This makes it suitable for discretionary traders seeking clean entry cues in volatile environments.
Originality and Uniqueness
Uptrick: Dynamic Z‑Score Deviation distinguishes itself from standard reversal or mean‑reversion tools by combining several elements into a single framework:
A composite moving average (ALMA + Zero‑Lag EMA) for a smooth yet responsive baseline
Dual Z‑Score filters on price and RSI rather than relying on a single measure
Adaptive visual elements, including slope‑aware coloring, multi‑layer ATR shadows, and signal sizing based on combined Z‑Score magnitude
Most indicators focus on one aspect—price envelopes or RSI thresholds—whereas Uptrick: Dynamic Z‑Score Deviation requires both layers to align before signaling. Its visual design aids quick interpretation without overwhelming the chart.
Why these indicators were merged
Every component in Uptrick: Dynamic Z‑Score Deviation has a purpose:
• ALMA: provides a smooth moving average with reduced lag and fewer false crossovers than a simple SMA or EMA.
• Zero‑Lag EMA (ZLMA approximation): further reduces the delay relative to price by applying a time shift to EMA inputs. This keeps the composite MA closer to current price action.
• RSI and its EMA filter: RSI measures momentum. Applying an EMA filter on RSI smooths out false spikes and confirms genuine overbought or oversold momentum.
• Dual Z‑Scores: computing Z‑Scores on both the distance between price and the composite MA, and on smoothed RSI, ensures that signals only fire when both price and momentum are unusually stretched.
• ATR bands: using ATR‑based shadow layers visualizes volatility around the MA, guiding traders on potential support and resistance zones.
At the end, these pieces merge into a single indicator that detects statistically significant mean reversions while staying adaptive to real‑time volatility and momentum.
Calculations
1. Compute ALMA over the chosen MA length, offset, and sigma.
2. Approximate ZLMA by applying EMA to twice the price minus the price shifted by the MA length.
3. Calculate the composite moving average as the average of ALMA and ZLMA.
4. Compute raw RSI and smooth it with ALMA. Apply an EMA filter to raw RSI to reduce noise.
5. For both price and smoothed RSI, calculate the mean and standard deviation over the Z‑Score lookback period.
6. Compute Z‑Scores:
• z_price = (current price − composite MA mean) / standard deviation of price deviations
• z_rsi = (smoothed RSI − mean RSI) / standard deviation of RSI
7. Determine reversal conditions: both Z‑Scores exceed their thresholds in the same direction, RSI EMA is in oversold/overbought zones (below 40 or above 60), and price movement confirms directionality.
8. Compute signal strength as the sum of the absolute Z‑Scores, then classify into weak, medium, or strong.
9. Calculate ATR over the chosen period and multiply by layer multipliers to form shadow widths.
10.Derive slope over the chosen slope length and color the MA line and bars based on direction, optionally smoothing color transitions via EMA on RGB channels.
How this indicator actually works
1. The script begins by smoothing price data with ALMA and approximating a zero‑lag EMA, then averaging them for the main MA.
2. RSI is calculated, then smoothed and filtered.
3. Using a rolling window, the script computes statistical measures for both price deviations and RSI.
4. Z‑Scores tell how far current values lie from their recent norms.
5. When both Z‑Scores cross configured thresholds and momentum conditions align, reversal signals are flagged.
6. Signals are drawn with size and color reflecting strength.
7. The MA is plotted with dynamic coloring; ATR shadows are layered beneath to show volatility envelopes.
8. Bars can be colored to match MA slope, reinforcing trend context.
9. Alert conditions allow automated notifications when signals occur.
Inputs
Main Length: Main MA Length. Sets the period for ALMA and ZLMA.
RSI Length: RSI Length. Determines the lookback for momentum calculations.
Z-Score Lookback: Z‑Score Lookback. Window for mean and standard deviation computations.
Price Z-Score Threshold: Price Z‑Score Threshold. Minimum deviation required for price.
RSI Z-Score threshold: RSI Z‑Score Threshold. Minimum deviation required for momentum.
RSI EMA Filter Length: RSI EMA Filter Length. Smooths raw RSI readings.
ALMA Offset: Controls ALMA’s focal point in the window.
ALMA Sigma: Adjusts ALMA’s smoothing strength.
Show Reversal Signals : Toggle to display reversal signal markers.
Slope Sensitivity: Length for slope calculation. Higher values smooth slope changes.
Use Bar Coloring: Enables coloring of price bars based on MA slope.
Show MA Shadow: Toggle for ATR‑based shadow bands.
Shadow Layer Count: Number of shadow layers (1–4).
Base Shadow ATR Multiplier: Multiplier for ATR when sizing the first band.
Smooth Color Transitions (boolean): Smooths RGB transitions for line and shadows, if enabled.
ATR Length for Shadow: ATR Period for computing volatility bands.
Use Dynamic Signal Size: Toggles dynamic scaling of reversal symbols.
Features
Moving average smoothing: a hybrid of ALMA and Zero‑Lag EMA that balances responsiveness and noise reduction.
Slope coloring: MA line and optionally price bars change color based on trend direction; color transitions can be smoothed for visual continuity.
ATR shadow layers: translucent bands around the MA show volatility envelopes; up to four concentric layers help gauge distance from normal price swings.
Dual Z‑Score filters: price and momentum must both deviate beyond thresholds to trigger signals, reducing false positives.
Dynamic signal sizing: reversal markers scale in size based on the combined Z‑Score magnitude, making stronger signals more prominent.
Adaptive visuals: optional smoothing of color channels creates gradient effects on lines and fills for a polished look.
Alert conditions: built‑in buy and sell alerts notify traders when reversal setups emerge.
Conclusion
Uptrick: Dynamic Z‑Score Deviation delivers a structured way to identify short‑term reversal opportunities by fusing statistical rigor with adaptive smoothing and clear visual cues. It guides traders through multiple confirmation layers—hybrid moving average, dual Z‑Score analysis, momentum filtering, and volatility envelopes—while keeping the chart clean and informative.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading carries risk and may not be suitable for all participants. Past performance is not indicative of future results. Always do your own analysis and risk management before making trading decisions.
Bullish and Bearish Breakout Alert for Gold Futures PullbackBelow is a Pine Script (version 6) for TradingView that includes both bullish and bearish breakout conditions for my intraday trading strategy on micro gold futures (MGC). The strategy focuses on scalping two-legged pullbacks to the 20 EMA or key levels with breakout confirmation, tailored for the Apex Trader Funding $300K challenge. The script accounts for the Daily Sentiment Index (DSI) at 87 (overbought, favoring pullbacks). It generates alerts for placing stop-limit orders for 175 MGC contracts, ensuring compliance with Apex’s rules ($7,500 trailing threshold, $20,000 profit target, 4:59 PM ET close).
Script Requirements
Version: Pine Script v6 (latest for TradingView, April 2025).
Purpose:
Bullish: Alert when price breaks above a rejection candle’s high after a two-legged pullback to the 20 EMA in a bullish trend (price above 20 EMA, VWAP, higher highs/lows).
Bearish: Alert when price breaks below a rejection candle’s low after a two-legged pullback to the 20 EMA in a bearish trend (price below 20 EMA, VWAP, lower highs/lows).
Context: 5-minute MGC chart, U.S. session (8:30 AM–12:00 PM ET), avoiding overbought breakouts above $3,450 (DSI 87).
Output: Alerts for stop-limit orders (e.g., “Buy: Stop=$3,377, Limit=$3,377.10” or “Sell: Stop=$3,447, Limit=$3,446.90”), quantity 175 MGC.
Apex Compliance: 175-contract limit, stop-losses, one-directional news trading, close by 4:59 PM ET.
How to Use the Script in TradingView
1. Add Script:
Open TradingView (tradingview.com).
Go to “Pine Editor” (bottom panel).
Copy the script from the content.
Click “Add to Chart” to apply to your MGC 5-minute chart .
2. Configure Chart:
Symbol: MGC (Micro Gold Futures, CME, via Tradovate/Apex data feed).
Timeframe: 5-minute (entries), 15-minute (trend confirmation, manually check).
Indicators: Script plots 20 EMA and VWAP; add RSI (14) and volume manually if needed .
3. Set Alerts:
Click the “Alert” icon (bell).
Add two alerts:
Bullish Breakout: Condition = “Bullish Breakout Alert for Gold Futures Pullback,” trigger = “Once Per Bar Close.”
Bearish Breakout: Condition = “Bearish Breakout Alert for Gold Futures Pullback,” trigger = “Once Per Bar Close.”
Customize messages (default provided) and set notifications (e.g., TradingView app, SMS).
Example: Bullish alert at $3,377 prompts “Stop=$3,377, Limit=$3,377.10, Quantity=175 MGC” .
4. Execute Orders:
Bullish:
Alert triggers (e.g., stop $3,377, limit $3,377.10).
In TradingView’s “Order Panel,” select “Stop-Limit,” set:
Stop Price: $3,377.
Limit Price: $3,377.10.
Quantity: 175 MGC.
Direction: Buy.
Confirm via Tradovate.
Add bracket order (OCO):
Stop-loss: Sell 175 at $3,376.20 (8 ticks, $1,400 risk).
Take-profit: Sell 87 at $3,378 (1:1), 88 at $3,379 (2:1) .
Bearish:
Alert triggers (e.g., stop $3,447, limit $3,446.90).
Select “Stop-Limit,” set:
Stop Price: $3,447.
Limit Price: $3,446.90.
Quantity: 175 MGC.
Direction: Sell.
Confirm via Tradovate.
Add bracket order:
Stop-loss: Buy 175 at $3,447.80 (8 ticks, $1,400 risk).
Take-profit: Buy 87 at $3,446 (1:1), 88 at $3,445 (2:1) .
5. Monitor:
Green triangles (bullish) or red triangles (bearish) confirm signals.
Avoid bullish entries above $3,450 (DSI 87, overbought) or bearish entries below $3,296 (support) .
Close trades by 4:59 PM ET (set 4:50 PM alert) .
Trading Sessions (Modified Range)📝 Description of Modifications – Trading Sessions (Modified Range)
Modified by:
✅ Key Enhancements:
1. 📊 Live Session Range Delta Analysis
New metric added:
The difference (Δ vs Avg) between the current session's range and the average range over a user-defined lookback period (lookbackDays).
Displayed dynamically as the session evolves — allowing traders to evaluate volatility in real time.
2. 🎨 Delta-Based Label Coloring
The label text color changes based on the delta value:
🔴 Red if the session range is below average
🟢 Green if it's above average
⚪ Gray if unchanged
Offers immediate visual feedback on current volatility conditions.
3. 🧾 Expanded Label Content
The session label now includes:
- Range in ticks and points
- Average session price
- Average session range over lookbackDays
- Live delta in both absolute and percentage terms
4. 🔁 Cleaner Object Creation
The SessionDisplay.new(...) constructor was restructured into a single-line format to resolve Pine Script v6 syntax restrictions
🙏 Acknowledgment:
All credit to the original author of this session indicator for building a clean and modular architecture that made extension and enhancement possible. The original script provided a robust and readable foundation for visualization of trading sessions.
This modified version aims only to extend its utility, not to replace it. Without the clear object-oriented design and maintainable structure of the original, these enhancements would not have been as seamless to implement.
— With appreciation,
Stochastic Strategy Table with Trend (1m–4H) + Toggle📊 Multi-Timeframe Stochastic Strategy Table with Trend Detection
This script is designed for intraday and swing traders who want to monitor Stochastic momentum across multiple timeframes in real-time — all directly on the main chart.
🔎 What This Script Does
This script builds a compact, color-coded table that displays:
✅ %K and %D values of the Stochastic oscillator
✅ Cross direction (K > D or K < D)
✅ Overbought/Oversold zone conditions
✅ Short-term trend detection via %K movement
It covers ten timeframes:
1m, 2m,3m,5m, 15m, 30m, 1H, 2H, 3H, 4H
🟩 How to Use It
Trend colors in header:
🟢 Green = %K is rising (uptrend)
🔴 Red = %K is falling (downtrend)
⚪ Gray = flat or neutral
Cross Row:
Green background = Bullish (%K > %D)
Red background = Bearish (%K < %D)
Zone Row:
Green = Oversold (%K and %D below 20)
Red = Overbought (%K and %D above 80)
Gray = Neutral zone
Use Case:
Look for multiple timeframes aligning in trend
Enter trades on short timeframes (e.g. 5m) when HTFs confirm direction
Especially powerful when used with price action on 5m/15m candles
⚙️ Configurable Inputs
%K Length
%K Smoothing
%D Length
Table location
Table size
💡 Why This Script Is Unique
Shows true higher timeframe Stochastic values (not interpolated from current chart)
Works in real-time with consistent updates
Trend direction is visualized without needing extra space
Built for serious intraday traders who rely on clean data and signal alignment
🙏 Credits & Notes
This tool was created to solve a real problem: getting accurate HTF stochastic data in a clean, real-time, decision-friendly format.
I built it for my own use — and now I'm sharing it for luck, and for anyone else looking to trade more clearly and confidently.
Feel free to fork, customize, or build upon it.
Good luck, and trade safe! 🍀💹
TrendBoxThis indicator is called "TrendBox," designed to help traders analyze daily price ranges using several technical indicators. Below is a breakdown of its functionality, purpose, and key components:
Purpose
The script overlays indicators on a chart to assess whether the price is above or below key levels:
VWAP (Volume Weighted Average Price, based on the chart's timeframe).
Daily Market Open (fetched from the daily timeframe).
Daily 4-period VWMA (Volume Weighted Moving Average, fetched from the daily timeframe).
VIX-based expected range (high and low levels calculated using the VIX index).
It also displays a status box (optional) summarizing whether the price is above or below these levels, helping traders quickly evaluate market conditions.
🐢 Turtle Soup Strategy v1.0 – TBS/TWS + OB/FVG + SL/TP🐢 Turtle Soup Strategy v1.0 – Backtest Edition
This document gives you everything you need to use, interpret, and optimize the Turtle Soup Strategy in TradingView.
🐢 What is Turtle Soup?
Turtle Soup is a reversal trading strategy based on false breakouts of recent highs or lows — often referred to as liquidity traps.
Popularized by Linda Raschke , it flips the logic of breakout trading on its head by betting against the breakout, especially when it occurs near key swing points or in range-bound markets.
The idea is simple:
"When the turtles come out, the smart money cooks them."
🧠 In practice, traders place buy orders after price dips below a recent low and reverses, or sell orders after a false breakout above a high.
These fakeouts are often stop hunts, where large players induce retail traders into breakout positions, only to reverse the market against them — providing high-probability entry points for contrarian traders.
🧪 Core Components of Turtle Soup:
✅ Donchian Channel (recent swing high/low)
✅ Wick or body breakout
✅ Fast reversal back into range
✅ (Optional) Order block or FVG confluence
🔥 Why It Works:
Exploits liquidity zones where retail stops are clustered
Aligns with smart money concepts
Highly effective in sideways markets or after exhaustion spikes
🔎 What This Strategy Does
This is a reversal-based price action strategy that identifies false breakouts of recent highs or lows (liquidity traps), using the popular Turtle Soup pattern.
It enters trades when:
Price fakes out past the Donchian high or low
Closes back into the range
Optionally confirms with:
✅ Order Block Confluence (institutional footprint)
✅ Fair Value Gap (FVG) Confluence (imbalance)
It then sets:
🛑 A Stop Loss (SL) below/above the signal candle
🎯 A Take Profit (TP1) at a customizable Risk-Reward Ratio (RR) (default 1.5x)
🎯 Core Concepts
1. TBS – Turtle Body Soup
Full-body breakout and close back inside range
Considered stronger and more reliable
2. TWS – Turtle Wick Soup
Wick only breaks the high/low, body closes back inside
Weaker but still valid in confluence
⚙️ Inputs & Settings
Setting Description
Donchian Lookback Period for high/low reference (default: 20 candles)
TP1 RR Risk-Reward ratio for take profit target 1 (default: 1.5)
Use Order Block Filter If ON, requires bullish/bearish OB to validate the entry
Use FVG Filter If ON, requires FVG confluence (gap in price action = imbalance)
You can adjust these in the strategy’s Settings panel (gear icon in TradingView).
📈 How Trades Are Triggered
🟢 Long Entry occurs when:
TBS or TWS long signal is detected
(optional) Bullish Order Block present
(optional) Bullish FVG present
→ Entry: Close of signal candle
→ SL: Below candle’s low
→ TP1: Calculated from RR (default: 1.5x distance to SL)
🔴 Short Entry occurs when:
TBS or TWS short signal is detected
(optional) Bearish Order Block present
(optional) Bearish FVG present
→ Entry: Close of signal candle
→ SL: Above candle’s high
→ TP1: Calculated from RR (default: 1.5x distance to SL)
📊 How to Backtest
1. Open script in TradingView
Paste the full script into the Pine Script editor and click "Add to Chart".
2. Open the Strategy Tester
Navigate to the “Strategy Tester” tab (bottom panel).
Click “Overview” to see:
Net Profit 💰
Win Rate 📈
Number of Trades 📊
Max Drawdown 🩸
3. Use "Performance Summary" and "List of Trades"
You can click on List of Trades to review every trade (entry, exit, profit, SL, TP).
Filter and export as needed.
📊 Turtle Soup – Chart Signals Explained
🟢 TBS Long
Symbol: Green label up, text “TBS 🔺”
Meaning:
Turtle Body Soup long setup:
The body of the candle breaks below the recent Donchian Low (liquidity grab),
Then price closes back above that low.
Interpretation:
Strong bullish reversal signal, especially if confirmed by order block or FVG.
🔴 TBS Short
Symbol: Red label down, text “TBS 🔻”
Meaning:
Turtle Body Soup short setup:
The body of the candle breaks above the recent Donchian High (liquidity grab),
Then price closes back below that high.
Interpretation:
Strong bearish reversal signal.
🔵 TWS Long
Symbol: Blue triangle up, text “TWS ⬆”
Meaning:
Turtle Wick Soup long setup:
The wick (not the body) breaks below the Donchian Low,
Candle closes back inside the range.
Interpretation:
Bullish reversal signal (less powerful than TBS but still valid).
🟠 TWS Short
Symbol: Orange triangle down, text “TWS ⬇”
Meaning:
Turtle Wick Soup short setup:
The wick breaks above the Donchian High,
Candle closes back inside the range.
Interpretation:
Bearish reversal signal.
🟩 Order Block Bullish
Symbol: Small green square under bar
Meaning:
Last bearish candle before a bullish impulse (institutional buying footprint).
Used as confluence for stronger long entries.
🟥 Order Block Bearish
Symbol: Small red square above bar
Meaning:
Last bullish candle before a bearish impulse (institutional selling footprint).
Used as confluence for stronger short entries.
🔷 FVG Up
Symbol: Navy blue X below bar
Meaning:
Fair Value Gap (FVG) up:
A gap/imbalance created by a strong move up,
Indicates potential support or bullish confluence.
🟪 FVG Down
Symbol: Fuchsia X above bar
Meaning:
Fair Value Gap (FVG) down:
A gap/imbalance created by a strong move down,
Indicates potential resistance or bearish confluence.
📏 Entry / SL / TP Lines
Entry: Gray dashed line
Stop Loss (SL): Red dashed line
Take Profit 1 (TP1): Green solid line
Take Profit 2 (TP2): Green thick solid line
Drawn whenever a trade is triggered.
SL and TPs are calculated automatically from entry based on RR.
💡 Optimization Tips
What to Test - Why It Matters
Donchian Lookback - 20 is default, but shorter (10) catches faster setups
TP1 RR - Try 1.2 to 2.5 for different market types
Use/Disable Order Block Filter - Adds precision, reduces trades
Use/Disable FVG Filter . Adds imbalance confirmation
Lower Timeframes (M15–H1) - Gives more trades for statistical testing
🧠 When It Works Best
This strategy shines in:
Choppy / range-bound markets (liquidity traps are frequent)
Smart money behavior areas: stop hunts before reversals
Near session opens, news volatility, and false breakouts
Avoid in:
Strong trending markets without reversal signals
Low liquidity / overnight hours (on low timeframes)
🛡️ Risk Disclaimer
⚠️ This is a backtesting tool and not financial advice. Use responsibly.
Past performance ≠ future results. Always validate on demo or forward test before going live.
4 Closes + Current Price SMAThis calculates the 5 day Simple Moving Average in the same way that the backtester in Option Omega does, by using the 4 previous closes and current price of the 5th day.
ONE RING 8 MA Bands with RaysCycle analysis tool ...
MAs: Eight moving averages (MA1–MA8) with customizable lengths, types (RMA, WMA, EMA, SMA), and offsets
Bands: Upper/lower bands for each MA, calculated based on final_pctX (Percentage mode) or final_ptsX (Points mode), scaled by multiplier
Rays: Forward-projected lines for bands, with customizable start points, styles (Solid, Dashed, Dotted), and lengths (up to 500 bars)
Band Choices
Manual: Uses individual inputs for band offsets
Uniform: Sets all offsets to base_pct (e.g., 0.1%) or base_pts (e.g., 0.1 points)
Linear: Scales linearly (e.g., base_pct * 1, base_pct * 2, base_pct * 3 ..., base_pct * 8)
Exponential: Scales exponentially (e.g., base_pct * 1, base_pct * 2, base_pct * 4, base_pct * 8 ..., base_pct * 128)
ATR-Based: Offsets are derived from the Average True Range (ATR), scaled by a linear factor. Dynamic bands that adapt to market conditions, useful for breakout or mean-reversion strategies. (final_pct1 = base_pct * atr, final_pct2 = base_pct * atr * 2, ..., final_pct8 = base_pct * atr * 8)
Geometric: Offsets follow a geometric progression (e.g., base_pct * r^0, base_pct * r^1, base_pct * r^2, ..., where r is a ratio like 1.5) This is less aggressive than Exponential (which uses powers of 2) and provides a smoother progression.
Example: If base_pct = 0.1, r = 1.5, then final_pct1 = 0.1%, final_pct2 = 0.15%, final_pct3 = 0.225%, ..., final_pct8 ≈ 1.71%
Harmonic: Offsets are based on harmonic flavored ratios. final_pctX = base_pct * X / (9 - X), final_ptsX = base_pts * X / (9 - X) for X = 1 to 8 This creates a harmonic-like progression where offsets increase non-linearly, ensuring MA8 bands are wider than MA1 bands, and avoids duplicating the Linear choice above.
Ex. offsets for base_pct = 0.1: MA1: ±0.0125% (0.1 * 1/8), MA2: ±0.0286% (0.1 * 2/7), MA3: ±0.05% (0.1 * 3/6), MA4: ±0.08% (0.1 * 4/5), MA5: ±0.125% (0.1 * 5/4), MA6: ±0.2% (0.1 * 6/3), MA7: ±0.35% (0.1 * 7/2), MA8: ±0.8% (0.1 * 8/1)
Square Root: Offsets grow with the square root of the band index (e.g., base_pct * sqrt(1), base_pct * sqrt(2), ..., base_pct * sqrt(8)). This creates a gradual widening, less aggressive than Linear or Exponential. Set final_pct1 = base_pct * sqrt(1), final_pct2 = base_pct * sqrt(2), ..., final_pct8 = base_pct * sqrt(8).
Example: If base_pct = 0.1, then final_pct1 = 0.1%, final_pct2 ≈ 0.141%, final_pct3 ≈ 0.173%, ..., final_pct8 ≈ 0.283%.
Fibonacci: Uses Fibonacci ratios (e.g., base_pct * 1, base_pct * 1.618, base_pct * 2.618
Percentage vs. Points Toggle:
In Percentage mode, bands are calculated as ma * (1 ± (final_pct / 100) * multiplier)
In Points mode, bands are calculated as ma ± final_pts * multiplier, where final_pts is in price units.
Threshold Setting for Slope:
Threshold setting for determining when the slope would be significant enough to call it a change in direction. Can check efficiency by setting MA1 to color on slope temporarily
Arrow table: Shows slope direction of 8 MAs using an Up or Down triangle, or shows Flat condition if no triangle.
OI GridTo draw a horizontal line that compares spot and future prices, users can select a symbol and an OI range for each asset.
Trend Channel SwiftEdgeTrend Channel SwiftEdge
The Trend Channel SwiftEdge is a powerful, visually striking tool designed to help traders identify trends and potential trade setups across multiple timeframes with a futuristic, tech-inspired design. This indicator combines a dynamic trend channel with a multi-timeframe trend dashboard and intelligent signal filtering to provide clear, actionable insights for both novice and experienced traders. Its unique neon-lit, holographic visuals give it a modern, cutting-edge feel, making your chart analysis both functional and visually engaging.
What It Does
This indicator identifies trends on your chart using a dynamic price channel and provides buy and sell signals based on trend alignments across multiple timeframes. It also features a dashboard that displays the trend direction (Up, Down, or Neutral) for six timeframes: 1-minute, 5-minute, 15-minute, 1-hour, 4-hour, and 1-day. The signals are filtered using a user-selected higher timeframe to ensure they align with broader market trends, reducing noise and improving trade reliability.
How It Works
The Trend Channel SwiftEdge operates in three key steps:
Dynamic Trend Channel:
A moving average (MA) is calculated based on your chosen type (SMA, EMA, or WMA) and length (default is 14 periods). This MA forms the backbone of the trend channel.
The channel’s upper and lower bounds are created by calculating the highest and lowest values of the MA over a period (default is 2x the MA length). These bounds help identify the trend: if the price is above the upper channel, the trend is Up; if below the lower channel, the trend is Down; otherwise, it’s Neutral.
The MA and channel lines are plotted with neon colors (green for Up, red for Down, blue for the channel bounds) to create a holographic effect, with a glowing background fill between the channels to highlight the trend direction.
Multi-Timeframe Trend Dashboard:
The indicator analyzes trends across six timeframes (1M, 5M, 15M, 1H, 4H, D1) using the same trend channel logic.
A dashboard in the top-right corner displays each timeframe’s trend direction with a futuristic design: neon green for Up, neon red for Down, and gray for Neutral, all set against a dark background with neon blue accents.
Signal Generation with Higher Timeframe Filter:
Buy and Sell signals are generated when the trend on the chart’s timeframe (e.g., 1M) aligns with a user-selected higher timeframe (e.g., 15M).
A Buy signal ("🚀 SwiftEdge BUY") appears when the price crosses above the upper channel (indicating an Up trend) and the selected higher timeframe’s trend also turns Up. If the higher timeframe is Neutral, the indicator checks even higher timeframes (e.g., 1H and 4H for a 15M filter) to confirm the trend direction.
A Sell signal ("🛑 SwiftEdge SELL") appears when the price crosses below the lower channel (indicating a Down trend) and the selected higher timeframe’s trend turns Down, with the same higher timeframe check for Neutral cases.
Signals are displayed as neon-colored labels with emojis for a futuristic touch, making them easy to spot.
Why This Combination?
The combination of a dynamic trend channel, multi-timeframe analysis, and signal filtering in Trend Channel SwiftEdge is designed to provide a comprehensive view of market trends while reducing false signals. The trend channel identifies the primary trend on your chart, while the multi-timeframe dashboard ensures you’re aware of the broader market context. The signal filter leverages higher timeframes to confirm that your trades align with larger trends, which is particularly useful in volatile markets where smaller timeframes can be noisy. This synergy creates a balanced approach, blending short-term precision with long-term trend confirmation, all wrapped in a visually engaging tech-inspired design.
How to Use It
Add the Indicator: Apply Trend Channel SwiftEdge to your TradingView chart.
Customize Settings:
SwiftEdge Moving Average Type: Choose between SMA, EMA, or WMA (default is EMA) to adjust the trend channel’s sensitivity.
SwiftEdge MA Length: Set the period for the moving average (default is 14).
SwiftEdge Signal Filter Timeframe: Select a higher timeframe (1M, 5M, 15M, 1H, 4H, D1) to filter signals (default is 15M). For example, on a 1M chart, selecting 15M ensures signals align with the 15-minute trend.
Show SwiftEdge Ribbon: Toggle the visibility of the trend channel’s moving average (default is true).
Show SwiftEdge Background Glow: Toggle the glowing background fill between the channel bounds (default is true).
Start/End Year: Set a time range for the indicator’s signals (default is 1900–2100).
Interpret the Dashboard: Check the top-right dashboard to see the trend direction across all timeframes. Use this to understand the broader market context.
Trade with Signals:
Look for "🚀 SwiftEdge BUY" labels (neon green) below candles to enter long positions when the trend aligns across timeframes.
Look for "🛑 SwiftEdge SELL" labels (neon red) above candles to enter short positions or exit longs.
Ensure the signal aligns with your trading strategy and risk management.
What Makes It Original?
Trend Channel SwiftEdge stands out with its futuristic, tech-inspired design and multi-timeframe synergy. Unlike traditional trend indicators, it combines a visually striking neon aesthetic with practical functionality, making trend analysis both intuitive and engaging. The signal filtering mechanism, which checks higher timeframes dynamically, ensures trades are backed by broader market trends, reducing the risk of false signals. The dashboard provides a quick, at-a-glance view of trends across multiple timeframes, empowering traders to make informed decisions without needing to switch charts. This blend of advanced trend analysis, intelligent signal filtering, and a high-tech visual theme makes it a unique tool for modern traders.
Notes
Best used on trending markets; in choppy conditions, consider using higher timeframes for signal filtering to reduce noise.
Adjust the MA length and signal timeframe based on your trading style (shorter for scalping, longer for swing trading).
Why This Description Complies with TradingView House Rules
What It Does:
Clearly explains that the script identifies trends using a dynamic channel, provides buy/sell signals, and displays a multi-timeframe dashboard.
How It Does It:
Breaks down the process into three steps: trend channel calculation, multi-timeframe analysis, and signal generation with higher timeframe filtering.
Explains the logic (e.g., price crossing the channel, trend alignment across timeframes) in simple terms.
How to Use It:
Provides step-by-step instructions on adding the indicator, customizing settings, interpreting the dashboard, and trading with signals.
What Makes It Original:
Highlights the unique tech-inspired design, the combination of trend channel and multi-timeframe filtering, and the dynamic higher timeframe check.
Justifies the Combination:
Explains why the trend channel, multi-timeframe dashboard, and signal filtering are used together: to balance short-term precision with long-term trend confirmation, reducing false signals.
Self-Contained:
All concepts (trend channel, multi-timeframe analysis, signal filtering) are explained within the description without requiring external research.
Avoids technical jargon that would confuse non-Pine readers, focusing on user-friendly language.
This updated description with the new name "Trend Channel SwiftEdge" should fully comply with TradingView’s House Rules. If you need further adjustments, let me know!
Perfect MA Touch (EMA/SMA + Font Size) – ExtendedThis is an extension of the Perfect MA touch with 6 total spaces for the Moving Averages.
When the candle touches the MA for the first time it will have a 1, and then the 5 the time it will leave a 5. Make you trading decisions with help from the 5 candle high and low.
DUONG_EURWhat is the RSI indicator? Instructions on how to use RSI in stock trading
Currently, technical analysis indicators are widely used to confirm the strength or weakness of the market. In this article, let's learn more about the RSI indicator with DSC to easily confirm the current strength of the market.
What is the RSI indicator?
The RSI indicator, also known as the relative strength indicator, is widely used in the financial and stock markets. RSI is calculated by the price of the most recent previous closing sessions. Therefore, it is often considered normal when it moves in phase with the price line.
RSI calculation formula
In which:
RS = AvgU/AvgD
AvgU is the average of the closing price changes of the increasing sessions in 14 sessions.
LTF HTF CANDLE fast deployThe "LTF Candle Fast Deploy" script allows you to clearly and dynamically display candles from lower timeframes (LTF) and higher timeframes (HTF) on the same chart. With the cursor function, it becomes simple to move the end line and analyze completely different points. You can configure the number of candles and timeframes, as well as customize colors and borders. One of its key features is temporal alignment: the last LTF candle is forced to coincide with a defined end date (end_date), with a transparent background applied to highlight the area around this date.
Additionally, the script supports two different timeframes, allowing you to simultaneously compare two series of candles, with adjustable width and spacing options to better fit the chart. A summary table can be displayed in an overlay to show information about timeframes and the amount of candles, while a triangle visually marks the candle corresponding to the end date.
Finally, there are performance limits in place to ensure optimal functioning, such as the maximum number of bars analyzed and a limit on the offset, to prevent slowdowns in the chart.
--------------------------------------------------KEY FEATURES--------------------------------------------------
1. **Display of HTF and LTF Candles**
This feature allows you to plot on the chart a configurable number (Amount of Candles) of candles from both a lower timeframe (e.g., 30m) and a higher timeframe (e.g., 4H). The candles are drawn using `box.new` for the body and `line.new` for the wicks, with customizable colors and borders.
2. **Temporal Alignment on Start and End Dates**
The user defines an "end_date" (configurable by the user). The last LTF candle is forced to horizontally align with the corresponding bar at the end_date, calculating a dynamic offset. A semi-transparent background is applied to all bars near the end_date to highlight the concluding period. By simply moving the cursor, you can shift the focus to another area.
3. **Customizable Dual Timeframe**
In addition to the primary LTF, the script supports a second timeframe (2nd Timeframe), with the same offset, buffer, and coloring logic. It is recommended to use an HTF or the same timeframe as the chart. This feature allows you to simultaneously compare two sets of candles from different timeframes on the same chart.
4. **Candle Width and Buffer Controls**
The width (Candle Width) and spacing (Candle Buffer) of the candles are variable, as is the extra horizontal offset (extra_offset). These parameters allow precise adjustment of the visual clutter and alignment with the chart bars.
5. **Summary Table in Overlay**
Upon the last tick (if activated), a table (Show Table) appears in one of the eight available positions (e.g., top right). The table displays:
- LTF: lower timeframe
- HTF: higher timeframe
- Ch TF: chart timeframe
- AoC: amount of candles
- c AoC: amount of chart candles corresponding to the observed zone
Additionally, a triangle (`plotshape`) is drawn above the candle corresponding to the end_date on the main chart to visually identify the alignment moment.
6. **Performance and Limit Management**
The script sets limits on the number of bars analyzed (max_bars_back, max_boxes_count) and an offset maximum (future limit of 500 bars) to prevent slowdowns or excessive drawing.
Trading Sessions (Modified)📝 Description of Modifications – Trading Sessions Indicator
Modified by:
✅ Key Enhancements:
1. 📊 Live Session Range Delta Analysis
Calculates the real-time difference between the current session's range and the historical average range over a user-defined lookback period (lookbackDays)
2. Presented in both points and percentage terms
3. 🎨 Dynamic Color Coding
The label text color changes based on the delta:
🟢 Green when the range is above average
🔴 Red when it's below average
⚪ Gray when unchanged
4. 🧾 Rich Session Label Content
Displays:
- Session range (ticks and points)
- Average session price
- Average range over lookback period
- Real-time delta to average range
- Session name
🙏 Acknowledgment:
Special thanks and credit to the original developer of this session indicator. Your well-structured, modular script made this expansion possible.
The modifications introduced here aim to extend your great work — not to replace it.
🚀 Support This Work
If you find this enhanced indicator useful, consider giving it a boost.
That small gesture helps bring visibility to thoughtful, utility-driven tools in the TradingView community.
— With respect,
Trading Sessions (Modified)📝 Description of Modifications – Trading Sessions Indicator
Modified by:
✅ Key Enhancements:
1. 📊 Live Session Range Delta Analysis
Calculates the real-time difference between the current session's range and the historical average range over a user-defined lookback period (lookbackDays)
2. Presented in both points and percentage terms
3. 🎨 Dynamic Color Coding
The label text color changes based on the delta:
🟢 Green when the range is above average
🔴 Red when it's below average
⚪ Gray when unchanged
4. 🧾 Rich Session Label Content
Displays:
- Session range (ticks and points)
- Average session price
- Average range over lookback period
- Real-time delta to average range
- Session name
🙏 Acknowledgment:
Special thanks and credit to the original developer of this session indicator. Your well-structured, modular script made this expansion possible.
The modifications introduced here aim to extend your great work — not to replace it.
🚀 Support This Work
If you find this enhanced indicator useful, consider giving it a boost.
That small gesture helps bring visibility to thoughtful, utility-driven tools in the TradingView community.
— With respect,
BTC Correlation & Manual Delay OverlayIt will automatically plot BTCUSDT.P Bitget and see what delay gives maximum correlation.
You can also manually plot the delay too.
MACD dong pha 2 cap do W/DInstructions for use:
_ Green area: Weekly and Daily MACD are both in the Positive zone
_ Red area: Weekly and Daily MACD are both in the Negative zone
Custom SessionsThis is an edit to one of the famous Sessions indicator
Changes:
- I separated the background from the plotted highs and lows so it can be more customizable to user needs
- I also added a custom session if users want to track the high and low of a custom time frame
Personally I use this to track the highs and lows of asia and london session to trade it during NY session. This is because I noticed that the Asia and London high and low tends to be key points to either tap or reverse from.
To use:
1. Edit the sessions to match your needs
2. Toggle the sessions you would want to see the background or the high and low of
3. If you want, set a custom session time frame and track the high and low of that
