Volatility ChannelThis script is based on an idea I have had for bands that react better to crypto volatility. It calculates a Donchian Channel, SMMA-Smoothed True Range, Bollinger Bands (standard deviation), and a Keltner Channel (average true range) and averages the components to construct its bands/envelopes. This way, hopefully band touches are a more reliable indicator of a temporary bottom, and so on. Secondary coloring for strength of trend is given as a gradient based on RSI.
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BB Order BlocksUsing the Bollinger Band to mark areas of Support and Resistance
The scrip finds the highest and lowest levels of the bands to mark up futures areas of interest.
If the High/Lows are being broken on the Bollinger band, or if the look back range has expired without finding new levels, the script will stop plotting them until new levels are found
I have found many combinations which work well
Changing the band length to to levels 20,50,100 or 200 seem to give interesting results
Aswell as this changing the standard deviation to 3 instead of 2 marks up key levels.
The look back range seems to show better levels on 50,100 and 200
Let me know any changes or updates you think you could make an impact , this was just a quick basic script I wanted to share.
Institutional Valuation SuiteStandard volatility indicators often fail on long-term growth charts because they measure volatility in dollars rather than percentages. This causes bands to break or become irrelevant during exponential price moves (e.g., Bitcoin going from $1,000 to $100,000).
The Institutional Valuation Suite solves this by utilising Geometric (Log-Normal) Standard Deviation. This allows the model to adapt to the asset's price scale, providing accurate valuation zones regardless of price magnitude.
The model functions as a mean-reversion tool, visualizing price as an elastic band anchored to a "Fair Value" baseline. It identifies when the asset is statistically overextended (Bubble/FOMO) or undervalued (Deep Discount).
Key Features
1. Log-Normal Math Engine
Geometric Mode (Default): Calculates volatility in percentage terms. Essential for Crypto and Growth Stocks.
Arithmetic Mode: Available for Forex or range-bound assets where linear standard deviation is preferred.
2. Sentiment Heat map
Visualises valuation directly on the candles to remove interpretation bias.
GREEN: Deep Value / Accumulation Zone (< -0.5σ).
ORANGE: Overvalued / FOMO Zone (> 2.0σ).
RED: Speculative Bubble Zone (> 3.0σ).
3. Reversion Signals
"VALUE RECLAIM": Triggers when price re-enters the bottom band from below, filtering out "falling knife" scenarios.
"TOP EXIT": Triggers when price breaks down from the speculative top zone.
4. Statistical Dashboard
Displays the real-time Z-Score to quantify how "stretched" the price is relative to its baseline.
> 3.0: Statistical Anomaly (Top).
< -0.5: Statistical Discount (Bottom).
Optimisation Cheat Sheet
The "Cycle Length" input determines the lookback period for the baseline. Recommended settings:
Crypto Macro: 200 (Approx. 4 Years).
Altcoins: 100 (Approx. 2 Years).
Stocks (S&P 500): 50 (1 Year Trend).
Day Trading: Set "Timeframe Lock" to "Chart".
Technical Note
This indicator uses strict offset logic (`barmerge.lookahead_on`) to ensure historical consistency. The signals displayed on historical bars match exactly what would have appeared in real-time.
*Disclaimer: This script provides statistical analysis based on historical volatility and does not constitute financial advice.*
ATR STRUCTURE
So I can produce this
🟡 START = 662.63 ✳️ ATR ≈ 8.30 pts (0.5 ATR ≈ 4.15 • 1 ATR ≈ 8.30) 🙂📏
ATR bands (numeric)
🔼 START + 0.5 ATR = 662.63 + 4.15 = 666.78 (upper buffer / shelf)
🔼 START + 1 ATR = 662.63 + 8.30 = 670.93 (breakout band)
🔽 START − 0.5 ATR = 662.63 − 4.15 = 658.48 (near support)
🔽 START − 1 ATR = 662.63 − 8.30 = 654.33 (deeper stop zone)
— Priority level ladder (footprint‑first & ATR alignment) — (emoji = confidence • 🔥 = high • ✅ = footprint confirmed • 🟡 = medium)
🔥🟢 PM_LOW / D1 — ~659.95 → 660.50 ✅ (FOOTPRINT CONFIRMED)
Why: repeated 30m+1h absorption (sold‑into then bought up). DEEP confidence. 🧯🔁
🔥🔴 ORBH / U2 cluster — ~663.98 → 665.87 ✅ (FOOTPRINT SUPPLY)
Why: repeated rejections / sell MaxDelta rows on 30m & 1h. Treat as overhead supply / shelf. 🪓📉
🔥🟦 D3 / ORBL corridor — ~658.64 ✅ (TF confluence: 1h+4h MaxDelta)
Why: single‑row institutional sells map here; structural LVN / open‑range low. 🛡️📌
🟡⭐ START / U1 pivot zone — ~662.63 – 662.70 ✅ (session pivot, 1h absorption)
Why: session magnet—use for intraday bias pivot / quick confirms. 👀⚖️
🟡🔥 U4 / U5 upper HVN band — ~666.7 → 669.3 (ATR UPPER)
Why: strong HVN / stop‑run evidence on higher TFs — needs large buy MaxDelta to flip. 🚧🚀
⚪ D5 lower expansion support — ~654.3–656.7 (deeper target if sellers run)
Why: longer‑TF expansion area; lower immediate probability but high impact if hit. ⚠️📉
BG Trix Trend signalovides dynamic long and short signals based on a multi-timeframe candle averaging method. It calculates a four-step average of recent candles to determine the trend and changes candle color accordingly (green for upward, red for downward).
Features:
Multi-Timeframe Candle Analysis: Combines current and previous candle data to smooth price action.
Optional TRIX Filter: Adds a TRIX-based trend filter from a separate timeframe. Only triggers signals when TRIX confirms the trend.
Optional Keltner Channel Filter: Prevents signals when the price is inside the Keltner channel. Long signals only trigger above the upper band; short signals only trigger below the lower band. Separate MTF and MA type can be selected for the channel.
Visual Signals: Long and short signals are displayed as arrows on the chart. Candle color reflects trend direction.
Fully Customizable: Users can enable/disable TRIX and Keltner filters and select MA types and timeframes independently.
This indicator is ideal for traders who want clear trend signals while filtering out trades inside key price channels. No exit management is included—signals are purely for entry visualization.
Squeeze Go Momentum Pro [KingThies] █ OVERVIEW
The Squeeze Momentum Pro indicator identifies volatility compression phases and breakout opportunities by comparing Bollinger Bands to Keltner Channels. When price consolidates (squeeze), the bands contract inside the channels, signaling an imminent breakout. The momentum histogram shows directional bias, helping traders anticipate which way price will move when the squeeze releases.
This indicator displays in a separate panel below the price chart, providing clear visual signals without cluttering price action.
█ KEY FEATURES
Momentum Histogram
The histogram is the primary visual element, displaying momentum strength and direction with four distinct color states:
• Dark Green (#00C853) — Strong bullish momentum that is increasing. This signals strengthening upward pressure and potential continuation.
• Light Green (#26A69A) — Bullish momentum that is decreasing. Price remains in bullish territory but upward force is weakening.
• Dark Red (#D32F2F) — Strong bearish momentum that is increasing. This signals strengthening downward pressure and potential continuation.
• Light Red (#EF5350) — Bearish momentum that is decreasing. Price remains in bearish territory but downward force is weakening.
The color intensity provides immediate feedback on momentum strength and trend health.
Squeeze State Indicator
Colored dots on the zero line communicate the current volatility state:
• Orange Dots — Squeeze is ON. Bollinger Bands have contracted inside Keltner Channels, indicating consolidation and low volatility.
A breakout is building and traders should prepare for directional movement.
• Green Dots — Squeeze is OFF. Bollinger Bands have expanded outside Keltner Channels, indicating active momentum and higher volatility.
Price is moving with conviction in the current direction.
• Gray Dots — Neutral state. The bands are transitioning between squeeze states.
Release Triangles
Triangle shapes mark the exact bar when a squeeze releases, providing precise entry timing:
• Green Triangle Up — Bullish squeeze release. The squeeze has ended with positive momentum, suggesting a long setup opportunity.
• Red Triangle Down — Bearish squeeze release. The squeeze has ended with negative momentum, suggesting a short setup opportunity.
Information Panel
A compact dashboard in the top-right corner displays real-time trading intelligence:
• Squeeze Status — Current state: ON, OFF, or NEUTRAL with color coding
• Momentum Direction — Current bias: BULL or BEAR
• Momentum Value — Precise numerical reading of momentum strength
• Trading Signal — Actionable status: LONG SETUP, SHORT SETUP, WAIT, or MONITOR
Configurable Parameters
All calculation inputs are adjustable to match your trading style and timeframe:
• BB Length — Bollinger Bands period (default: 20)
• BB StdDev — Bollinger Bands standard deviation multiplier (default: 2.0)
• KC Length — Keltner Channels period (default: 20)
• KC ATR Multiplier — Keltner Channels range multiplier (default: 1.5)
• Momentum Length — Linear regression period for momentum calculation (default: 20)
Alert System
Four alert conditions notify you of critical trading opportunities:
• Bullish Squeeze Release — Squeeze has released with bullish momentum, indicating a potential long entry
• Bearish Squeeze Release — Squeeze has released with bearish momentum, indicating a potential short entry
• Squeeze Started — Volatility compression detected, prepare for upcoming breakout
• Squeeze Ended — Volatility expansion confirmed, breakout is active
█ TRADING METHODOLOGY
The indicator follows a clear four-step process for identifying and trading squeeze breakouts:
1 - Wait for Orange Dots . When orange dots appear on the zero line, a squeeze is building. This indicates price consolidation and declining volatility.
Do not enter trades during this phase. Instead, prepare by identifying key support and resistance levels and potential breakout directions.
2 - Watch for Release Triangle . When a triangle appears, the squeeze has released and a breakout is beginning. This is your entry signal.
The triangle color (green up or red down) combined with the histogram direction indicates the breakout direction.
3 - Confirm with Histogram Direction . Check the momentum histogram for directional confirmation:
• Green histogram + green triangle up = Go long. Bullish momentum supports upward breakout.
• Red histogram + red triangle down = Go short. Bearish momentum supports downward breakout.
4 - Monitor Momentum Intensity . Stay in the trade while histogram bars maintain their dark, intense color.
When colors lighten (dark green to light green, or dark red to light red), momentum is weakening and you should consider taking profits or tightening stops.
█ INTERPRETATION GUIDE
Squeeze Detection Logic
A squeeze occurs when Bollinger Bands contract inside Keltner Channels. This happens when:
• Standard deviation of price decreases (BB narrows)
• Price consolidates within a tight range
• Volatility compresses to unsustainable levels
The orange dots signal this condition, warning traders that explosive movement is imminent.
Squeeze Release Logic
A squeeze releases when Bollinger Bands expand outside Keltner Channels. This happens when:
• Price volatility increases sharply
• Price breaks out of consolidation
• Volume typically expands (check volume separately)
The green dots and release triangles signal this condition, indicating the direction and timing of the breakout.
Momentum Reading
The histogram uses linear regression to calculate momentum relative to the midpoint of the recent range:
• Above Zero : Price is trading above the range midpoint with bullish pressure
• Below Zero : Price is trading below the range midpoint with bearish pressure
• Increasing Bars : Momentum is strengthening in the current direction (darker color)
• Decreasing Bars : Momentum is weakening in the current direction (lighter color)
█ BEST PRACTICES
• Timeframe Selection — The indicator works on all timeframes but performs best on 15-minute to daily charts.
Lower timeframes may produce more false signals due to noise.
• Confluence Trading — Combine squeeze releases with support/resistance levels, trend lines, or other indicators for higher probability setups.
• Volume Confirmation — Check that squeeze releases occur with increasing volume. Low volume breakouts are more likely to fail.
• Multiple Timeframe Analysis — Check higher timeframes for overall trend direction. Trade squeeze releases that align with the larger trend.
• Parameter Adjustment — Increase BB and KC lengths for smoother signals on higher timeframes. Decrease for more sensitive signals on lower timeframes.
█ LIMITATIONS
• The indicator does not predict breakout direction before the squeeze releases. The momentum histogram provides bias but is not definitive until the breakout occurs.
• False breakouts can occur, particularly in choppy or low-volume market conditions. Always use proper risk management and stop losses.
• The indicator works best in trending markets. In deeply ranging markets with no clear direction, squeeze signals may be less reliable.
• Momentum calculations use linear regression which can lag during extremely fast price movements. Confirm signals with price action.
█ NOTES
This implementation uses linear regression for momentum calculation rather than simple moving averages, providing more responsive and accurate directional signals. The four-color histogram system gives traders nuanced feedback on momentum strength that binary color schemes cannot provide.
The indicator automatically adjusts to any symbol and timeframe without modification, making it suitable for stocks, forex, crypto, and futures markets.
█ CREDITS
Squeeze methodology inspired by John Carter's TTM Squeeze indicator. Momentum calculation and visual design optimized for modern trading workflows.
Donchian Channels + Avg Width % DashboardMeasures the average percentage width between the Donchian Channel’s upper and lower bands over a chosen period.
It quantifies how much the market has been moving relative to price — a direct gauge of realized volatility.
When the average width is small, price is range-bound and unlikely to reach fixed TP targets; when it expands, volatility is sufficient for trend or breakout trades.
Based on how fast your strategy is, set your TP% below the average percentage of the Band Width.
Fisher Transform Trend Navigator [QuantAlgo]🟢 Overview
The Fisher Transform Trend Navigator applies a logarithmic transformation to normalize price data into a Gaussian distribution, then combines this with volatility-adaptive thresholds to create a trend detection system. This mathematical approach helps traders identify high-probability trend changes and reversal points while filtering market noise in the ever-changing volatility conditions.
🟢 How It Works
The indicator's foundation begins with price normalization, where recent price action is scaled to a bounded range between -1 and +1:
highestHigh = ta.highest(priceSource, fisherPeriod)
lowestLow = ta.lowest(priceSource, fisherPeriod)
value1 = highestHigh != lowestLow ? 2 * (priceSource - lowestLow) / (highestHigh - lowestLow) - 1 : 0
value1 := math.max(-0.999, math.min(0.999, value1))
This normalized value then passes through the Fisher Transform calculation, which applies a logarithmic function to convert the data into a Gaussian normal distribution that naturally amplifies price extremes and turning points:
fisherTransform = 0.5 * math.log((1 + value1) / (1 - value1))
smoothedFisher = ta.ema(fisherTransform, fisherSmoothing)
The smoothed Fisher signal is then integrated with an exponential moving average to create a hybrid trend line that balances statistical precision with price-following behavior:
baseTrend = ta.ema(close, basePeriod)
fisherAdjustment = smoothedFisher * fisherSensitivity * close
fisherTrend = baseTrend + fisherAdjustment
To filter out false signals and adapt to market conditions, the system calculates dynamic threshold bands using volatility measurements:
dynamicRange = ta.atr(volatilityPeriod)
threshold = dynamicRange * volatilityMultiplier
upperThreshold = fisherTrend + threshold
lowerThreshold = fisherTrend - threshold
When price momentum pushes through these thresholds, the trend line locks onto the new level and maintains direction until the opposite threshold is breached:
if upperThreshold < trendLine
trendLine := upperThreshold
if lowerThreshold > trendLine
trendLine := lowerThreshold
🟢 Signal Interpretation
Bullish Candles (Green): indicate normalized price distribution favoring bulls with sustained buying momentum = Long/Buy opportunities
Bearish Candles (Red): indicate normalized price distribution favoring bears with sustained selling pressure = Short/Sell opportunities
Upper Band Zone: Area above middle level indicating statistically elevated trend strength with potential overbought conditions approaching mean reversion zones
Lower Band Zone: Area below middle level indicating statistically depressed trend strength with potential oversold conditions approaching mean reversion zones
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, allowing you to act on significant developments without constantly monitoring the charts
Candle Coloring: Optional feature applies trend colors to price bars for visual consistency and clarity
Configuration Presets: Three parameter sets available - Default (balanced settings), Scalping (faster response with higher sensitivity), and Swing Trading (slower response with enhanced smoothing)
Color Customization: Four color schemes including Classic, Aqua, Cosmic, and Custom options for personalized chart aesthetics
PSAR+EMA+Hull+BBDescription
This all-in-one indicator combines four proven tools:
Parabolic SAR (Everget) — trend direction and potential reversals.
Exponential Moving Averages (20/50/100/200) — customizable lengths, colors, and offsets.
Hull Suite (InSilico) — smooth trend detection with multiple variations (HMA, THMA, EHMA).
Bollinger Bands — volatility and dynamic support/resistance.
Features
Toggle each module on/off in settings.
Fully configurable inputs (lengths, colors, offsets, multipliers).
Optional PSAR labels, highlights, and state fill.
Hull can color candles, draw band fills, and pull from higher timeframes.
Bollinger Bands include multiple basis types, stdev multipliers, and fill transparency.
Built-in alerts: PSAR direction change, Hull trending up/down.
Category
Trend Analysis (with Volatility as secondary).
Bollinger Adaptive Trend Navigator [QuantAlgo]🟢 Overview
The Bollinger Adaptive Trend Navigator synthesizes volatility channel analysis with variable smoothing mechanics to generate trend identification signals. It uses price positioning within Bollinger Band structures to modify moving average responsiveness, while incorporating ATR calculations to establish trend line boundaries that constrain movement during volatile periods. The adaptive nature makes this indicator particularly valuable for traders and investors working across various asset classes including stocks, forex, commodities, and cryptocurrencies, with effectiveness spanning multiple timeframes from intraday scalping to longer-term position analysis.
🟢 How It Works
The core mechanism calculates price position within Bollinger Bands and uses this positioning to create an adaptive smoothing factor:
bbPosition = bbUpper != bbLower ? (source - bbLower) / (bbUpper - bbLower) : 0.5
adaptiveFactor = (bbPosition - 0.5) * 2 * adaptiveMultiplier * bandWidthRatio
alpha = math.max(0.01, math.min(0.5, 2.0 / (bbPeriod + 1) * (1 + math.abs(adaptiveFactor))))
This adaptive coefficient drives an exponential moving average that responds more aggressively when price approaches Bollinger Band extremes:
var float adaptiveTrend = source
adaptiveTrend := alpha * source + (1 - alpha) * nz(adaptiveTrend , source)
finalTrend = 0.7 * adaptiveTrend + 0.3 * smoothedCenter
ATR-based volatility boundaries constrain the final trend line to prevent excessive movement during volatile periods:
volatility = ta.atr(volatilityPeriod)
upperBound = bollingerTrendValue + (volatility * volatilityMultiplier)
lowerBound = bollingerTrendValue - (volatility * volatilityMultiplier)
The trend line direction determines bullish or bearish states through simple slope comparison, with the final output displaying color-coded signals based on the synthesis of Bollinger positioning, adaptive smoothing, and volatility constraints (green = long/buy, red = short/sell).
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward direction based on Bollinger positioning and adaptive smoothing = Potential long/buy opportunity
Falling Trend Line (Red): Indicates downward direction based on Bollinger positioning and adaptive smoothing = Potential short/sell opportunity
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, allowing you to act on significant development without constantly monitoring the charts
Candle Coloring: Optional feature applies trend colors to price bars for visual consistency
Configuration Presets: Three parameter sets available - Default (standard settings), Scalping (faster response), and Swing Trading (slower response)
CM Indicator About Indicator:-
1) This is best Indicator for trend identification.
2) This is based on 42 EMA with Upper Band and Lower bands for trend identification.
3) This should be used for Line Bar chart only.
4) Line bar chart should be used at 1 hour for 15 line breaks.
How to Use:-
1) To go with trend is best use of this indicator.
2) This is for stocks and options not for index. Indicator used for Stocks at one hour and options for 10-15 minutes line break.
3) There will be 5% profitability defined for each entry, 3 entries with profit are best posible in same continuous trend 4 and 5th entry is in riskier zone in continuous trend.
4) Loss will only happen if there is trend reversal.
5) Loss could only be one trade of profit out of three profitable trades.
6) Back tested on 200 stocks and 100 options.
4H Bollinger Breakout StrategyThis strategy leverages Bollinger Bands on the 4-hour timeframe for long and short trades in trending or ranging markets. Entries trigger on BB breakouts with optional filters for volume, trend, and RSI. Exits occur on opposite BB crosses. Customizable for long-only, short-only, or indicator mode via code comments. Supports forex, stocks, or crypto with full equity allocation and 0.1% commission.
Length (Default: 20): Period for BB basis and std dev; shorter for sensitivity, longer for smoothing.
Basis MA Type (Default: SMA): Selects MA for middle band (SMA, EMA, etc.); EMA for faster response.
Source (Default: Close): Price input for calculations; use close for standard accuracy.
StdDev Multiplier (Default: 1.8): Band width control; higher for fewer signals, lower for more.
Offset (Default: 0): Shifts BB plots; typically unchanged.
Use Filters (Default: True): Applies volume, trend, RSI checks to filter signals.
Volume MA Length (Default: 20): For volume filter (long: >105% avg, short: >120%).
Trend MA Length (Default: 80): SMA for trend filter (long: above MA, short: below).
RSI Length (Default: 14): For short filter (entry if RSI <85).
Use Long/Short Signals (Defaults: True): Toggles directions; long entry on lower BB crossover, short on upper crossunder.
Visuals: BB plots (blue basis, red upper, green lower), orange trend MA, filled background.
Labels/Alerts: Green/red for long entry/exit, yellow/purple for short; alert conditions included.
Adjustable Percentage Range Moving Average - Add'l LinesThe Adjustable Percentage Range Moving Average (APRMA), originally developed by @ReallyWendy, is a versatile PineScript indicator designed for traders and market analysts to analyze market volatility and identify trends dynamically. Building on the original concept, this updated version plots a central moving average (MA) with four customizable percentage-based range bands around it. Users can select the MA type (SMA, EMA, HMA, RMA, SWMA, TMA, WMA, VWMA), timeframe, and length, tailoring the indicator to their trading style. Each range band (upper and lower) is calculated as a percentage offset from the MA, with adjustable colors and transparency settings for enhanced visual clarity. Extension lines project the latest values forward, with customizable styles (solid, dashed, dotted). The indicator includes toggleable display options for the MA and each range pair, making it an effective tool for identifying price ranges, support/resistance levels, and trend dynamics.
Credit to @ReallyWendy for the foundational concept.
BARTRADINGPREDV4Please note, that all of the indicators on the chart are working together. I am showing all of the indicators so that you might see the benefits of these indicators working as one. Do your own research. Trade smart. I code tools not advice. So please make decisions based on your trading style and knowledge. Use my scripts freely but please note they are protected by Mozilla.
Script Summary: BARTRADINGPREDV4
This Pine Script indicator is a comprehensive trading tool that overlays on your TradingView chart. It combines moving averages, regression channels, volume analysis, RSI filtering, and pattern recognition to assist in making trading decisions. It also provides a forward-looking projection to help anticipate future price movement.
Key Features & Logic
1. Moving Averages
HMA (High Moving Average): Simple moving average of the high price over a user-defined lookback period.
LMA (Low Moving Average): Simple moving average of the low price over the same period.
HLMA (High-Low Moving Average): The average of HMA and LMA, providing a midline reference.
2. RSI Filtering
Optionally enables a Relative Strength Index (RSI) filter to help avoid trades when the market is not trending strongly.
Only allows buy signals if RSI is above 50, and sell signals if RSI is below 50 (if enabled).
3. Signal Generation
BUY Signal: Triggered when HL2 (average of OHLC) crosses over LMA and (optionally) RSI > 50.
SELL Signal: Triggered when HL2 crosses under HMA and (optionally) RSI < 50.
XSB (Extra Strong Buy): HL2 crosses over HMA, is above HLMA, up volume is greater than down volume, and (optionally) RSI > 50.
XBS (Extra Strong Sell): HL2 crosses under LMA, is below HLMA, down volume is greater than up volume, and (optionally) RSI < 50.
Enable/Disable XSB/XBS: You can turn these signals on or off via script inputs.
4. Take Profit (TP) and Stop Loss (SL) Levels
TP and SL are dynamically calculated based on the difference between HMA and LMA, providing contextually relevant exit levels.
5. Regression Channel and Prediction
Linear Regression Line: Plots a regression line over the lookback period to show the underlying trend.
ATR Channel: Adds an upper and lower channel around the regression line using ATR (Average True Range) for a realistic prediction envelope.
Forward Projection: Projects the regression line forward by a user-defined number of bars, visually showing where the trend could extend if current momentum persists.
6. Pattern Recognition
Higher Highs/Lows and Lower Highs/Lows: Marks bars where new higher highs/lows or lower highs/lows are set, helping you spot trend continuation or reversal points.
7. Status Table
A table shows the current price’s relationship to HMA, HLMA, and LMA, color-coded for quick visual interpretation.
User Instructions
Inputs
Number of Lookback Bars: Sets the period for all moving averages and regression calculations.
Prediction Length: (Legacy; not used in current logic.)
TURN ON OR OFF XSB/XBS Signal: Toggle extra strong buy/sell signals.
Enable RSI Filter: Only allow signals when RSI is in the correct zone.
RSI Period: Sets the sensitivity of the RSI filter.
Table Position: Choose where the status table appears on your chart.
ATR Length & Multiplier: Control the width of the regression prediction channel.
Bars Forward (Projection): Number of bars to project the regression line into the future.
How to Use
Add the script to your TradingView chart.
Adjust inputs to suit your asset and timeframe.
Interpret signals:
BUY (B) and SELL (S): Appear as green/red labels below/above bars.
XSB (blue) and XBS (orange): Indicate extra strong buy/sell conditions.
HH/HL (green triangles): New higher highs/lows.
LH/LL (red triangles): New lower highs/lows.
Watch the regression channel: The yellow regression line shows the trend; the shaded band indicates expected volatility.
Check the projection: The dashed magenta line projects the regression trend forward, giving a visual target for price continuation.
Use the table: Quickly see if price is above or below each moving average.
Interpreting the Prediction Aspects
Regression Line & Channel
Regression Line (Yellow): Represents the best-fit line of price over the lookback period, showing overall trend direction.
ATR Channel: The upper and lower bands (yellow, semi-transparent) account for typical volatility, suggesting a range where price is likely to stay if the trend continues.
Forward Projection
Dashed Magenta Line: Projects the regression line forward by the specified number of bars, using the current slope. This is a trend continuation forecast—not a guarantee, but a statistically reasonable path if current conditions persist.
How to use: If price is respecting the regression trend and within the channel, the projection provides a visual target for where price might go in the near future.
TP/SL Levels
TP (Take Profit): Suggests a price target above the current HL2, based on recent volatility.
SL (Stop Loss): Suggests a protective stop below HL2.
Best Practices & Warnings
No indicator is perfect! Always combine signals with your own analysis and risk management.
Regression projection is not a crystal ball: It simply extends the current trend, which can and will change, especially after big news or at support/resistance.
Use on liquid, trending assets for best results.
Adjust lookback and ATR settings for your market and timeframe.
Summary Table Example
Price vs HMA vs HLMA vs LMA
43000 +100 +50 -20
Green: Price is above average (bullish).
Red: Price is below average (bearish).
Yellow: Price is very close to the average (neutral).
Final Notes
This script is designed to be a multi-tool for trend trading and prediction, combining classic and modern techniques. The forward projection helps visualize possible future price action, while signals and overlays keep you informed of trend shifts and trade opportunities.
Volatility Squeeze – Blue Zone (classic) Volatility Squeeze – Blue Zone
Highlights periods when volatility contracts by showing a blue band between the Bollinger Bands (BB) whenever they fall inside the Keltner Channel (KC).
Blue zone = squeeze: BB upper & lower are inside KC – market coiling.
Automatic breakout alert: optional alert fires on the first bar after the squeeze releases.
Fully adjustable: BB/KC length, BB σ, KC ATR multiplier, zone colour & opacity, border on/off.
Clean overlay: zone hugs price bar-by-bar and disappears only when the squeeze ends, so past squeezes remain visible for context.
Use it to spot low-volatility setups, then watch for momentum or volume confirmations when the squeeze breaks.
Euclidean Range [InvestorUnknown]The Euclidean Range indicator visualizes price deviation from a moving average using a geometric concept Euclidean distance. It helps traders identify trend strength, volatility shifts, and potential overextensions in price behavior.
Euclidean Distance
Euclidean distance is a fundamental concept in geometry and machine learning. It measures the "straight-line distance" between two points in space. In time series analysis, it can be used to measure how far one sequence deviates from another over a fixed window.
euclidean_distance(src, ref, len) =>
var float sum_sq_diff = na
sum_sq_diff := 0.0
for i = 0 to len - 1
diff = src - ref
sum_sq_diff += diff * diff
math.sqrt(sum_sq_diff)
In this script, we calculate the Euclidean distance between the price (source) and a smoothed average (reference) over a user-defined window. This gives us a single scalar that reflects the overall divergence between price and trend.
How It Works
Moving Average Calculation: You can choose between SMA, EMA, or HMA as your reference line. This becomes the "baseline" against which the actual price is compared.
Distance Band Construction: The Euclidean distance between the price and the reference is calculated over the Window Length. This value is then added to and subtracted from the average to form dynamic upper and lower bands, visually framing the range of deviation.
Distance Ratios and Z-Scores: Two distance ratios are computed: dist_r = distance / price (sensitivity to volatility); dist_v = price / distance (sensitivity to compression or low-volatility states)
Both ratios are normalized using a Z-score to standardize their behavior and allow for easier interpretation across different assets and timeframes.
Z-Score Plots: Z_r (white line) highlights instances of high volatility or strong price deviation; Z_v (red line) highlights low volatility or compressed price ranges.
Background Highlighting (Optional): When Z_v is dominant and increasing, the background is colored using a gradient. This signals a possible build-up in low volatility, which may precede a breakout.
Use Cases
Detect volatile expansions and calm compression zones.
Identify mean reversion setups when price returns to the average.
Anticipate breakout conditions by observing rising Z_v values.
Use dynamic distance bands as adaptive support/resistance zones.
Notes
The indicator is best used with liquid assets and medium-to-long windows.
Background coloring helps visually filter for squeeze setups.
Disclaimer
This indicator is provided for speculative analysis and educational purposes only. It is not financial advice. Always backtest and evaluate in a simulated environment before live trading.
