Multi-TF Bias Dashboard + Smart Entry V8Multi-TF Bias Dashboard + Smart Entry provides a complete top-down bias and entry confirmation system for professional traders.
It evaluates Weekly, Daily, and Custom HTF (e.g. 4H) candle structures to define directional bias, then synchronizes entry triggers from a lower timeframe using a reference–entry lock and optional cooldown filter to prevent overtrading.
A unified dashboard panel displays:
✅ Weekly / Daily / HTF leg PASS-FAIL logic
✅ Auto-locked entries only after reference bar close
✅ Bias banner (Bullish / Bearish / Neutral)
✅ Cooldown timer (Bars or Minutes) to space entries
✅ Real-time alerts + on-chart entry markers
Волатильность
Choppiness Index | CipherDecodedThe Choppiness Index is a multi-timeframe regime indicator that measures whether price action is trending or consolidating.
This recreation was inspired by the Choppiness Index chart from Checkonchain, with full credit to their team for the idea.
🔹 How It Works
CI = 100 * log10( SUM(ATR(1), n) / (highest(high, n) – lowest(low, n)) ) / log10(n)
Where:
n – lookback length (e.g. 14 days / 10 weeks / 10 months)
ATR(1) – true-range of each bar
SUM(ATR(1), n) – total true-range over n bars
highest(high, n) and lowest(low, n) – price range over n bars
Low values → strong trend
High values → sideways consolidation
Below is a simplified function used in the script for computing CI on any timeframe:
f_ci(_n) =>
_tr = ta.tr(true)
_sum = math.sum(_tr, _n)
_hh = ta.highest(high, _n)
_ll = ta.lowest(low, _n)
_rng = _hh - _ll
_rng > 0 ? 100 * math.log10(_sum / _rng) / math.log10(_n) : na
Consolidation Threshold — 50.0
Trend Threshold — 38.2
When Weekly CI < Trend Threshold, a trending zone (yellow) appears.
When Weekly CI > Consolidation Threshold, a consolidation zone (purple) appears.
Users can toggle either background independently.
🔹 Example Background Logic
bgcolor(isTrend and Trend ? color.new(#f3e459, 50) : na, title = "Trending", force_overlay = true)
bgcolor(isConsol and Cons ? color.new(#974aa5, 50) : na, title = "Consolidation", force_overlay = true)
🔹 Usage Tips
Observe the Weekly CI for regime context.
Combine with price structure or trend filters for signal confirmation.
Low CI values (< 38) indicate strong trend activity — the market may soon consolidate to reset.
High CI values (> 60) reflect sideways or range-bound conditions — the market is recharging before a potential new trend.
🔹 Disclaimer
This indicator is provided for educational purposes.
No trading outcomes are guaranteed.
This tool does not guarantee market turns or performance; it should be used as part of a broader system.
Use responsibly and perform your own testing.
🔹 Credits
Concept origin — Checkonchain Choppiness Index
HV-SMA DeltaHistorical Volatility with SMA Multiplier
Concept
This indicator acts as a "volatility explosion meter" for the market. Its core principle is to compare the current volatility with its historical average to detect moments when the market begins to "swing" with significantly more force.
The main components are as follows:
① Historical Volatility (HV) This line is an indicator of the current price volatility.
If this line moves higher, it means the price is swinging wildly (high volatility).
If this line is low, it means the price is calm or moving within a narrow range (low volatility).
② SMA x Multiplier This line functions as a "threshold" or "volatility resistance" level. It is calculated from the moving average of past volatility and then multiplied by an adjustable number (smaMultiplier) to create an upper band. In simple terms, this line tells us: "Normally, volatility should not exceed this level."
③ Difference (Histogram) This is the result of subtracting the Threshold Line (②) from the HV value (①).
Appear when the HV breaks above the threshold line. This signals that "volatility has now spiked significantly above its historical average."
Appear when the HV is still below the threshold line. This indicates that volatility remains at a normal or below-average level.
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How to Use
This indicator does not tell you the direction of the price. Instead, it indicates the "power" or "momentum" of the movement. Therefore, it should always be used in conjunction with other tools to confirm the direction.
① Look for "Volatility Breakout" signals.
② Use it to confirm the strength of a trend.
③ Use it for risk management.
You can try adjusting the smaLength and smaMultiplier values in the indicator's settings to fit the specific asset and timeframe you are trading. More volatile assets may require a higher Multiplier.
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หลักการทำงาน (Concept)
Indicator ตัวนี้เป็น "เครื่องวัดการระเบิดของความผันผวน" ในตลาด
โดยแกนหลักเป็นการเปรียบเทียบความผันผวนในปัจจุบันกับความผันผวนโดยเฉลี่ยในอดีต
เพื่อหาจังหวะที่ตลาดเริ่ม "เหวี่ยง" แรงขึ้นอย่างมีนัยสำคัญ
ส่วนประกอบหลักๆ มีดังนี้:
① Historical Volatility (HV)
เส้นนี้คือตัวชี้วัดความผันผวนของราคา ณ ปัจจุบัน
ถ้าเส้นนี้วิ่งขึ้นสูง แปลว่าราคากำลังแกว่งตัวรุนแรง (ผันผวนสูง)
ถ้าเส้นนี้อยู่ต่ำ แปลว่าราคานิ่งๆ หรือเคลื่อนไหวในกรอบแคบๆ (ผันผวนต่ำ)
② SMA x Multiplier
เส้นนี้ทำหน้าที่เป็น "เส้นเกณฑ์" หรือ "แนวต้านของความผันผวน"
ถูกคำนวณมาจากเส้นค่าเฉลี่ยของความผันผวนในอดีต
แล้วคูณด้วยตัวเลข Adjustable (sma-Multiplier) เพื่อสร้างเป็นกรอบบน
พูดง่ายๆ คือ เส้นนี้บอกเราว่า "โดยปกติแล้ว ความผันผวนไม่ควรจะเกินระดับนี้"
③ Difference (Histogram)
เป็นผลลัพธ์จากการนำค่า HV ข้อ ① มาลบกับ เส้นเกณฑ์ ข้อ ②
เกิดขึ้นเมื่อ HV ทะลุเส้นเกณฑ์ขึ้นไป
เป็นสัญญาณว่า ณ ตอนนี้ "ความผันผวนได้พุ่งสูงกว่าค่าเฉลี่ยในอดีตอย่างมีนัยสำคัญ"
เกิดขึ้นเมื่อ HV ยังอยู่ต่ำกว่าเส้นเกณฑ์
บอกว่าความผันผวนยังอยู่ในระดับปกติหรือต่ำกว่าค่าเฉลี่ย
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วิธีการนำไปใช้ (How to Use)
Indicator ตัวนี้ ไม่ได้บอกทิศทางของราคา
แต่จะบอก "พลัง" หรือ "โมเมนตัม" ของการเคลื่อนไหว
เราจึงควรใช้มันร่วมกับเครื่องมืออื่นเพื่อยืนยันทิศทางเสมอ
① มองหาสัญญาณ "การระเบิดของราคา" (Volatility Breakout)
② ใช้ยืนยันความแข็งแกร่งของเทรนด์
③ ใช้ในการบริหารความเสี่ยง
สามารถลองปรับค่า smaLength และ smaMultiplier ในการตั้งค่า Indicator
เพื่อให้เข้ากับสินทรัพย์และ Timeframe ที่เทรดได้นะ
สินทรัพย์ที่เหวี่ยงแรงๆ อาจต้องใช้ Multiplier ที่สูงขึ้น เป็นต้น
Kyle凯尔ATR精控引擎2.0What this indicator does
Blends Heikin Ashi smoothing with a Supertrend-style engine and an EMA filter to generate directional flips (Buy/Sell).
Auto-draws Supply/Demand zones with POI (point of interest) and marks BOS (Break of Structure).
Prints ATR-based Entry, Stop Loss, and TP1/TP2/TP3 levels; includes alerts.
Shows two dashboards: trend & momentum panel (top-right) and liquidity snapshot (bottom-right).
Adds auto trendlines and multi-timeframe horizontal S/R for context.
Quick start
Add the indicator to any symbol/timeframe.
Act on a fresh flip:
Long when direction flips Up and price is above EMA.
Short when direction flips Down and price is below EMA.
Look for confluence: reaction at Demand/Supply, BOS, trendline break, horizontal S/R, ADX > 20, supportive RSI and volume.
Manage risk with the ATR targets. Scale at TP1/TP2, let TP3 run (targets can “roll” after TP3 to rid trends).
Set alerts once per bar close for reliability.
How signals are formed
Heikin Ashi reduces noise by averaging price; ATR bands around HA price form two rails.
Direction flips when HA price crosses the opposite rail; EMA filter blocks counter-trend flips.
Buy/Sell signals are only valid on the bar close.
Supply/Demand, POI & BOS
Swing pivots create Supply (red) above and Demand (green) below; each zone shows a POI mdline.
When price breaks a zone boundary, the script stamps BOS at the midline and retires the old zone.
ATR risk targets
On a fresh signal, the tool snapshots Entry, then computes SL and TP1/2/3 as ATR multiples.
When TP3 hits, the module rolls targets from the new price to help ride sustained trends.
Optional on-chart lines + labels show Entry/SL/TPs.
Dashboards (how to read)
Top-right panel:
Direction (Up/Down/Neutral)
Momentum (close vs close 10 bars ago)
RSI(2) smoothed by 7: oversold/overbought cues + value
Volume bias: OBV minus its EMA (>0 = bullish)
ADX: >20 suggests stronger trend conditions
Multi-TF direction: 1m/5m/15m/1h/4h/D; more agreement = stronger setups
Bottom-right panel (“Liquidity”):
HA bias & intensity %, relative volume vs 20-SMA, and ATR.
Overlays
Trendlines auto-connect short/long window extremes; alerts on breaks.
Multi-TF S/R draws recent pivot highs/lows across selected TFs with de-overlapped labels.
Inputs to tune (common)
ATR Period / Multiplier: higher = smoother, fewer flips.
EMA Period: higher = stricter trend filter.
Supply/Demand: pivot sensitivity (swing_length), zone depth (box_width), number of zones to keep.
Risk/Targets: slMultiplier, tp1/2/3Multiplier (in ATRs), line/label toggles, colors.
Dashboards/Overlays: enable, position, size, S/R TFs, label spacing.
Suggested starting points (XAUUSD, intraday)
ATR(14), ATR Mult 1.3–1.6, EMA 9–21.
Risk: SL = 1.0–1.2 ATR; TPs at 1/2/3 ATR.
S/D: swing_length 8–12, box_width ~2–3.
Adjust per instrument and timeframe.
Example playbooks
Trend continuation: Fresh Buy (Up + above EMA) + pullback into Demand or near the midline; ADX > 20 preferred; scale at TP1/TP2, let TP3 run.
BOS retest: After BOS, trade the first retest into the broken area/POI in alignment with higher-TF direction; confirm with volume bias.
Breakout: Combine trendline break + Buy/Sell flip + S/R breach. Avoid low-liquidity hours.
Alerts included
Buy signal / Sell signal
Trendline break (Up/Down)
TP1/TP2/TP3 reached
Use “Once per bar close”.
Risk Management - Stop Loss Distance (Pips)This indicator helps traders estimate an optimal Stop Loss distance in pips based on market volatility (ATR) and a chosen risk percentage.
It does not generate buy or sell signals — it is purely a risk management visualization tool designed for educational and analytical use.
🔧 How it works
Calculates the current ATR (Average True Range) to measure market volatility.
Multiplies ATR by a user-defined factor to suggest a realistic stop-loss distance.
Displays this distance in pips, helping you understand how wide or tight your SL should be.
Optionally draws reference lines above and below the current price to visualize potential SL placement for long and short positions.
⚙️ Inputs
Account Balance (USD): Used for risk visualization.
Risk per Trade (%): Defines the percentage of account balance at risk.
ATR Period: Number of bars used to calculate volatility.
ATR Multiplier for SL: Adjusts how far the SL should be from the entry based on volatility.
Show SL Lines: Toggle visual stop-loss reference lines on or off.
📈 Display
The indicator shows:
Account balance and risk percentage.
Current ATR value.
Suggested stop-loss distance in pips.
Optional SL lines (for visualization only).
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It does not provide financial advice or trade recommendations.
Use it at your own discretion and always manage risk responsibly.
Bollinger Bands Breakout StrategyHey guys check out this strategy script.
Chart plotting:
I use a classic plot of Bollinger Bands to define a consolidation zone, I also use a separate Trend Filter (SMA).
Logic:
When the price is above the SMA and above the Bollinger Upper Band the strategy goes Long. When the price is below the SMA and below the Bollinger Lower Band the strategy goes Short. Simple.
Exits:
TP and SL are a percentage of the price.
Notes: This simple strategy can be used at any timeframe (I prefer the 15min for day trading). It avoids consolidation, when the price is inside the Bollinger Bands, and has a good success rate. Adjust the Length of the BB to suit your style of trading (Lower numbers=more volatile, Higher numbers=more restrictive). Also you can adjust the Trend Filter SMA, I presonally chose the 50 SMA. Finally the SL/TP can be also adjusted from the input menu.
Test it for yourself!
Have great trades!
Dual Median TrendSyncDual Median TrendSync ~ GForge
Revolutionary trend-following system that combines dual median analysis with adaptive momentum deviation bands for precise market timing across all asset classes.
🎯 WHAT IS MEDIAN TRENDSYNC?
Median TrendSync is a sophisticated technical indicator that leverages the statistical power of dual median calculations combined with dynamic momentum deviation analysis. Unlike traditional moving average systems that can be skewed by outliers, this system uses robust median-based calculations to identify genuine trend changes while filtering out market noise. The result is a highly adaptive system that works across all timeframes and asset classes, with exceptional performance in volatile 24/7 markets.
🔬 CORE INNOVATION: MOMENTUM DEVIATION TECHNOLOGY
The breakthrough feature of this system is its proprietary Momentum Deviation Bands - a secondary layer of adaptive volatility analysis applied to the oscillator itself. This creates a "volatility-of-volatility" measurement that dynamically adjusts to changing market conditions, providing earlier and more precise entry signals compared to traditional threshold-based systems.
Key Technical Advantages:
Dual Median Architecture: Two independent median systems work in harmony, each analyzing different price aspects and timeframes to capture both micro and macro trend shifts.
Adaptive Volatility Bands: Standard deviation bands that automatically expand during volatile periods and contract during consolidation, ensuring consistent signal quality regardless of market conditions.
Momentum Deviation Analysis: Advanced oscillator-level volatility measurement that identifies extreme momentum zones for optimal entry timing.
Statistical Robustness: Median calculations are inherently resistant to price spikes and false breakouts, providing more reliable trend identification than mean-based methods.
🌍 WHY IT'S UNIVERSAL: WORKS ACROSS ALL MARKETS
Asset Class Agnostic Design:
The system's median-based foundation makes it remarkably versatile across different asset classes:
Cryptocurrencies: Exceptional performance in 24/7 volatile markets with large price swings
Forex: Adapts to currency pair characteristics and varying volatility regimes
Stocks: Reliable trend identification for both individual stocks and indices
Commodities: Handles the unique cyclical nature of commodity markets
Futures: Robust performance across diverse futures contracts
Timeframe Flexibility:
Works seamlessly from Short-term to long-term position trading (daily/weekly charts). The adaptive nature of the system automatically calibrates to the chosen timeframe's volatility profile.
🚀 OPTIMIZED FOR CRYPTOCURRENCY MARKETS
While the system is universal, it truly excels in crypto for several key reasons:
24/7 Market Dynamics: Continuous price action allows the median calculations to build more comprehensive statistical profiles without overnight gaps.
High Volatility Adaptation: Crypto's extreme volatility is exactly where adaptive deviation bands shine - they expand during volatile moves and contract during consolidation, maintaining signal accuracy.
Trend Persistence: Crypto markets often exhibit strong, sustained trends that the dual median system is specifically designed to capture and ride.
Noise Filtering: The median-based approach naturally filters out the "pump and dump" spikes and flash crashes common in crypto, focusing on genuine trend changes.
Momentum Clarity: Crypto's clear momentum phases (accumulation, markup, distribution, markdown) align perfectly with the momentum deviation detection system.
⚙️ HOW THE SYSTEM WORKS
Signal Generation Process:
Dual Median Calculation: Two independent median systems analyze price action using different lookback periods and price sources, providing multi-dimensional market perspective.
Deviation Band Creation: Statistical volatility bands are constructed around each median using adaptive standard deviation measurements.
Oscillator Normalization: Price position relative to deviation bands is converted to a normalized oscillator reading (0-100+ scale).
Momentum Deviation Analysis: A secondary volatility layer is applied to the oscillator itself, creating dynamic momentum deviation bands that identify extreme zones.
Threshold Crossing Detection: When momentum deviation bands cross specific thresholds, high-probability trend change signals are generated.
5 Signal Combination Modes:
Median1 Only: Uses the primary median system for signals
Median2 Only: Uses the secondary median system for signals
Average: Combines both systems by averaging their readings (most balanced)
Both Required: Generates signals only when both systems agree (highest accuracy)
Either One: Triggers when either system signals (highest sensitivity)
📊 COMPREHENSIVE VISUAL ANALYTICS
Multi-Layer Visualization System:
Gradient Bar Coloring: Real-time visual representation of oscillator state with smooth color transitions from bearish to bullish zones
Dynamic State Bar: Bottom-of-chart gradient indicator showing current momentum position at a glance
Optional Overlay Bands: Deviation bands, threshold lines, and median lines can be displayed directly on the price chart for enhanced context
Momentum Deviation Bands: Visual representation of the advanced volatility-of-volatility measurement
Signal Markers: Clear diamond indicators for entry and exit points
Professional Metrics Dashboard:
The integrated analytics table displays real-time performance metrics:
Net Profit & Current P&L
Win Rate & Total Trades
Maximum Drawdown
Calmar Ratio (return/risk efficiency)
Sharpe Ratio (risk-adjusted returns)
Sortino Ratio (downside risk focus)
Half Kelly Position Sizing Recommendation
Current Position & Momentum Deviation State
1D & 1H BTC
🎮 FLEXIBLE TRADING MODES
Long/Short Mode: Full bi-directional trading for maximum opportunity capture
Long/Cash Mode: Conservative approach - only long positions with cash during bearish periods
Both modes include comprehensive backtesting with date range filtering and detailed performance analytics.
⚡ ALERT SYSTEM
Built-in alert conditions for:
Long signal detection
Short signal detection
Cash/exit signal detection
Never miss a trading opportunity with customizable TradingView alerts.
💡 BEST PRACTICES FOR OPTIMAL RESULTS
Start with Default Settings: The system is pre-optimized for broad market applicability. Test default parameters before making adjustments.
Match Mode to Market: Use "Average" mode for balanced signals, "Both Required" for higher accuracy in choppy markets, "Either One" for trending markets.
Timeframe Selection: While universal, the system shows exceptional results from low timeframes up to the daily timeframe.
Combine with Risk Management: Use the Kelly ½ recommendation as a starting point for position sizing.
Monitor Metrics: Keep the metrics table visible to track real-time performance and adjust strategy as needed.
Respect the Oscillator Gradient: The bar coloring provides continuous feedback - avoid counter-trend entries when gradient shows strong directional color.
🔒 CLOSED SOURCE - PROPRIETARY ALGORITHM
This indicator features a proprietary algorithm developed through extensive research and testing. The code is protected and closed-source to preserve the intellectual property of the unique momentum deviation methodology.
⚠️ DISCLAIMER
This indicator is a technical analysis tool designed to assist in trading decisions. Past performance does not guarantee future results. Always conduct your own research and use proper risk management. This tool should be used as part of a comprehensive trading strategy, not as a standalone solution.
📈 UNLOCK PRECISION TRADING WITH MEDIAN TRENDSYNC
Experience the power of dual median analysis combined with advanced momentum deviation technology. Whether you're trading crypto, forex, stocks, or any other asset class, Median TrendSync adapts to deliver consistent, reliable signals across all market conditions.
Developed by GForge Trading Systems
Statistical Price Deviation Index (MAD/VWMA)SPDI is a statistical oscillator designed to detect potential price reversal zones by measuring how far price deviates from its typical behavior within a defined rolling window.
Instead of using momentum or moving averages like traditional indicators, SPDI applies robust statistics - a rolling median and Mean Absolute Deviation (MAD) - to calculate a normalized measure of price displacement. This normalization keeps the output bounded (from −1 to +1 by default), producing a stable and consistent oscillator that adapts to changing volatility conditions.
The second line in SPDI uses a Volume-Weighted Moving Average (VWMA) instead of a simple price median. This creates a complementary oscillator showing statistically weighted deviations based on traded volume. When both oscillators align in their extremes, strong confluence reversal signals are generated.
How It Works
For each bar, SPDI calculates the median price of the last N bars (default 100).
It then measures how far the current bar’s midpoint deviates from that rolling median.
The Mean Absolute Deviation (MAD) of those distances defines a “normal” range of fluctuation.
The deviation is normalized and compressed via a tanh mapping, keeping the oscillator in fixed boundaries (−1 to +1).
The same logic is applied to the VWMA line to gauge volume-weighted deviations.
How to Use
The blue line (Price MAD) represents pure price deviation.
The green line (VWMA Disp) shows the volume-weighted deviation.
Overbought (red) zones indicate statistically extreme upward deviation -> potential short-term overextension.
Oversold (green) zones indicate statistically extreme downward deviation -> potential rebound area.
Confluence signals (both lines hitting the same extreme) often mark strong reversal points.
Settings Tips
Lookback length controls how much historical data defines “normal” behavior. Larger = smoother, smaller = more sensitive.
Smoothing (RMA length) can reduce noise without changing the overall statistical logic.
Output scale can be set to either −1..+1 or 0..100, depending on your visual preference.
Alerts and color fills are fully customizable in the Style tab.
Summary:
SPDI transforms raw price and volume data into a statistically bounded deviation index. When both Price MAD and VWMA Disp reach joint extremes, it highlights probable market turning points - offering traders a clean, data-driven way to spot potential reversals ahead of time.
ORB [RAJ AI]Defines customizable opening range periods with flexible time settings
Supports both single and multiple ORB sessions throughout the trading day
Calculates dynamic high/low buffers with configurable points or percentage offsets
Risk Management:
Configurable take profit levels (up to 3 targets) for both long and short positions
Adjustable stop loss settings with points or percentage-based calculations
Advanced trade sequencing to prevent repeated signals
Distance-based entry restrictions from previous trades
JOPA Channel (Dual-Volumed) v1 [JopAlgo]JOPA Channel (Dual-Volumed) v1
Short title: JOPAV1 • License: MPL-2.0 • Provider: JopAlgo
We have developed our own, first channel-based trading indicator and we’re making it available to all traders. The goal was a channel that breathes with the tape—built on a volume-weighted backbone—so the outcome stays lively instead of static. That led to the JOPA Channel.
All important features (at a glance)
In one line: A Rolling-VWAP channel whose width adapts with two volumes (RVOL + dollar-flow), adds order-flow asymmetry (OBV tilt) and regime awareness (Efficiency Ratio), and frames risk with outer containment bands from residual extremes—so you see fair value, momentum, and exhaustion in one view.
Feature list
Rolling VWAP centerline: Tracks where volume traded (fair value).
Dual-volume width: Bands expand/contract with relative volume and value traded (price×volume).
OBV tilt: Upper/lower widths skew toward the side actually pushing.
Regime adapter (ER): Tighter in trend, wider in chop—automatically.
Outer containment rails: Residual-extreme ceilings/floors, smoothed + margin.
20% / 80% guides: 20% light blue (discount), 80% light red (premium).
Squeeze dots (optional): Orange circles below candles during compression.
Non-repainting: Uses rolling sums and past-only math; no lookahead.
Default visual in this release
Containment rails + fill: ON (stepline, medium).
Inner Value rails + fill: Rails OFF (stepline, thin), fill ON (drawn only if rails are shown).
20% & 80% guides: ON (dashed, thin; 20% light blue, 80% light red).
Squeeze dots: OFF by default (orange circles when enabled).
What you see on the chart
RVWAP (centerline): Your compass for fair value.
Inner Value Bands (optional): Tight rails for breakouts and pullback timing.
Outer Containment Bands (default ON): High-confidence ceilings/floors for targets and fades.
20% / 80% guides: Quick read of “where in the channel” price is sitting.
Squeeze dots (optional): Volatility compression heads-up (no text labels).
Non-repainting note: The indicator does not revise closed bars. Forecast-Lock uses linear regression to extrapolate 1–3 bars ahead without using future data.
How to use it
Core reads (works on any timeframe)
Bias: Above a rising RVWAP → long bias; below a falling RVWAP → short bias.
Breakouts (momentum): Close beyond an Inner Value rail with RVOL ≥ threshold (alert provided).
Reversions (fades): Tag Outer Containment, stall, then close back inside → expect mean reversion toward RVWAP.
20/80 timing:
At/above 80% (light red) → premium/exhaustion risk; trim longs or consider fades if RVOL cools.
At/below 20% (light blue) → discount/exhaustion risk; trim shorts or consider longs if RVOL cools.
Squeeze clusters: When dots bunch up, expect a range break; use the Breakout alert as confirmation.
Playbooks by trading style
Day Trading (1–5m)
Setup: Keep the chart clean (Containment ON, Value rails OFF). Toggle Inner Value ON when hunting a breakout or timing a pullback.
Pullback Long: Dip to RVWAP / Lower Value with sub-threshold RVOL, then a close back above RVWAP → long.
Stop: Just beyond Lower Containment or the pullback swing.
Targets (1:1:1): ⅓ at RVWAP, ⅓ at Upper Value, ⅓ trail toward Upper Containment.
Breakout Long: After a squeeze cluster, take the Breakout Long alert (close > Upper Value, RVOL ≥ min). If no retest, demand the next bar holds outside.
Range Fade: Only when RVWAP is flat and dots cluster; short Upper Containment → RVWAP (mirror for longs at the lower rail).
Intraday (15m–1H)
HTF compass: Take bias from 4H.
Pullback Long: “Touch & reclaim” of RVWAP while RVOL cools; enter on the reclaim close or break of that candle’s high.
Breakout: Run Inner Value ON; act on Breakout alerts (RVOL gate ≈ 1.10–1.15 typical).
Avoid low-probability fades against the 4H slope unless RVWAP is flat.
Swing (4H–1D)
Continuation: In uptrends, buy pullbacks to RVWAP / Lower Value with sub-threshold RVOL; scale at Upper Containment.
Adds: Post-squeeze Breakout Long adds; trail on RVWAP or Lower Value.
Fades: Prefer when RVWAP flattens and price oscillates between containments.
Position (1D+)
Framework: Daily RVWAP slope + position within containment.
Add rule: Each reclaim of RVWAP after a dip is an add; trim into Upper Containment or near 80% light red.
Sizing: Containment distance is larger—size down and trail on RVWAP.
Inputs & Settings (complete)
Core
Source: Price input for RVWAP.
Rolling VWAP Length: Window of the centerline (higher = smoother).
Volume Baseline (RVOL): SMA window for relative volume.
Inner Value Bands (volatility-based width)
k·StdDev(residuals), k·ATR, k·MAD(residuals): Blend three measures into base width.
StdDev / ATR / MAD Lengths: Lookbacks for each.
Two-Volume Fusion
RVOL Exponent: How aggressively width responds to relative volume.
Dollar-Flow Gain: Adds push from price×volume (value traded).
Dollar-Flow Z-Window: Standardization window for dollar-flow.
Asymmetry (Order-Flow Tilt)
Enable Tilt (OBV): Lets flow skew upper/lower widths.
Tilt Strength (0..1): Gain applied to OBV slope z-score.
OBV Slope Z-Window: Window to standardize OBV slope.
Regime Adapter
Efficiency Ratio Lookback: Measures trend vs chop.
ER Width Min/Max: Maps ER into a width factor (tighter in trend, wider in chop).
Band Tracking (inner value rails)
Tracking Mode:
Base: Pure base rails.
Parallel-Lock: Smooth RVWAP & width; track in parallel.
Slope-Lock: Adds a fraction of recent slope (momentum-friendly).
Forecast-Lock: 1–3 bar extrapolation via linreg (non-repainting on closed bars).
Attach Strength (0..1): Blend tracked rails vs base rails.
Tracking Smooth Length: EMA smoothing of RVWAP and width.
Slope Influence / Forecast Lead Bars: Gains for the chosen mode.
Outer Containment Bands
Show Containment Bands: Master toggle (default ON).
Residual Extremes Lookback: Highest/lowest residual window.
Extreme Smoothing (EMA): Stability on extreme lines.
Margin vs inner width: Extra padding relative to smoothed inner width.
Squeeze & Alerts
Squeeze Window / Threshold: Width vs average; at/under threshold = dot (when enabled).
Min RVOL for Breakout: Required RVOL for breakout alerts.
Style (defaults in this release)
Inner Value rails: OFF (stepline, thin).
Inner & Containment fills: ON.
Containment rails: ON (stepline, medium).
20% / 80% guides: ON — 20% light blue, 80% light red, dashed, thin.
Squeeze dots: OFF by default (orange circles below candles when enabled).
Practical templates (copy/paste into a plan)
Momentum Breakout
Context: Squeeze cluster near RVWAP; Inner Value ON.
Trigger: Breakout Long (close > Upper Value & RVOL ≥ min).
Stop: Below Lower Value (tight) or below RVWAP (safer).
Targets (1:1:1): ⅓ Value → ⅓ Containment → ⅓ trail on RVWAP.
Pullback Continuation
Context: Uptrend; dip to RVWAP / Lower Value with cooling RVOL.
Trigger: Close back above RVWAP or break of reclaim candle’s high.
Stop: Just outside Lower Containment or pullback swing.
Targets: RVWAP → Upper Value → Upper Containment.
Containment Reversion (range)
Context: RVWAP flat; repeated containment tags.
Trigger: Stall at containment, then close back inside.
Stop: A step beyond that containment.
Target: RVWAP; runner only if RVOL stays muted.
Alerts included
DVWAP Breakout Long / Short (Value Bands)
Top Zone / Bottom Zone (20% / 80% guides)
Tip: On lower TFs, act on Breakout alerts with higher-TF bias (e.g., trade 5–15m in the direction of 1H/4H RVWAP slope/position).
Best practices
Let RVWAP be the compass; if unsure, wait until price picks a side.
Respect RVOL; low-RVOL breaks are prone to fail.
Use guides for timing, not certainty. Pair 20/80 zones with flow context.
Start with defaults; change one knob at a time.
Common pitfalls
Fading every containment touch → only fade when RVWAP is flat or RVOL cools.
Over-tuning inputs → the defaults are robust; small tweaks go a long way.
Fighting the higher timeframe on low TFs → expensive habit.
Footer — License & Publishing
License: Mozilla Public License 2.0 (MPL-2.0). You may modify and redistribute; keep this file under MPL and provide source for this file.
Originality: © 2025 JopAlgo. No third-party code reused; Pine built-ins and common formulas only.
Publishing: Keep this header/description intact when releasing on TradingView. Avoid promotional links in the public script text.
RSI Reversal + BB RSIReversal Alerts
SELL Reversal (reversalSELL)
Triggers when:
RSI touches or crosses above the upper BB, and
The current candle is bearish (close < open).
→ Plots a small red circle above the candle
→ Fires alert named “reversalSELL”
BUY Reversal (reversalBUY)
Triggers when:
RSI touches or crosses below the lower BB, and
The current candle is bullish (close > open).
→ Plots a small green circle below the candle
→ Fires alert named “reversalBUY”
Squeeze Breakout Strategy [KedArc Quant]Description:
Squeeze Breakout strategy looks for volatility compression (Bollinger Bands inside Keltner Channels = a “squeeze”), then trades the volatility expansion in the direction of a momentum filter.
🧠 How the “Squeeze → Expansion” works
- Markets alternate between quiet (compressed) and active (expanded) phases.
- We call it a squeeze when Bollinger Bands (BB)—which reflect standard deviation around price—shrink inside the Keltner Channels (KC)—which reflect ATR/range.
- This means dispersion (stdev) is small relative to typical range (ATR). Price is coiling; participants are agreeing on value.
- When BB pops back outside KC, the squeeze releases. That’s the first sign that volatility is expanding again.
- A release alone doesn’t tell you direction. That’s why this strategy pairs the release with a momentum filter:
- We estimate momentum using a smoothed linear-regression slope of price (a clean proxy for acceleration).
- If the slope is positive at release, we favor longs; if negative, we favor shorts.
- Optionally, you can require Band Break + Momentum (price closes beyond the BB) for a stricter entry.
- This combination aims to capture the first leg of the range-to-trend transition while avoiding random pokes that often occur during tight consolidations.
💡 Why this is unique
Two entry modes (toggle):
1. Release + Momentum (enter when the squeeze turns off)
2. Band Break + Momentum (enter on a close beyond BB with momentum)
- Momentum = smoothed linear-regression slope, a clean thrust detector that’s less laggy than many oscillators.
- Risk module included: ATR stop, optional 1R partial take-profit, and a Chandelier trailing stop for the runner.
- Practical filters: higher-timeframe EMA trend alignment, volume surge, minimum BB width, and session window—so it adapts across markets/timeframes.
- Backtest-ready: uses TradingView’s `strategy.` framework with commission/slippage controls.
📈 How it helps traders
✅Regime clarity: distinguishes compression vs. expansion so you’re not forcing trades during dead zones.
✅Objective entries: momentum + band logic reduces discretionary “feel” and late chases.
✅Built-in risk plan: stop/targets/trailing defined in inputs—consistent execution across tickers.
✅Adaptable: works across instruments/timeframes; filters let you tailor noise tolerance per market session.
✅Alerts: real-time signals for entry and squeeze release.
✅Not a Mash-Up / Original Work
✅Fully authored in Pine Script v6; no external libraries or copied logic blocks.
✅Uses well-known, documented formulas (BB, KC, ATR, LinReg slope) combined into a new rule set (two entry modes + momentum + structured exits).
✅Code and parameters are transparent and adjustable; the script stands alone.
🧩 Formulas (core)
Bollinger Bands
# Basis = `SMA(close, bbLen)`
# Upper/Lower = `Basis ± bbMult × stdev(close, bbLen)`
# Width% = `(Upper − Lower) / Basis × 100`
Keltner Channels
# Basis = `EMA(close, kcLen)`
# Upper/Lower = `Basis ± kcMult × ATR(kcATR)`
Squeeze state
# ON: `BB_Upper < KC_Upper` and `BB_Lower > KC_Lower`
# Release: `squeeze_on ` and `not squeeze_on`
Momentum (this script)
# `lin = linreg(close, momLen, 0)`
# `mom = SMA( lin − lin , momSmoothing )`
# Long bias when `mom > 0`; short bias when `mom < 0`.
⚙️ Inputs
Compression
`bbLen`, `bbMult` — BB length & std-dev multiplier
`kcLen`, `kcATR`, `kcMult` — KC lengths & ATR multiplier
`Entry Mode` — Release + Momentum, Band Break + Momentum, or Either
Momentum
`momLen`, `momSmoothing`
Filters (optional)
`Use HTF Trend Filter` + `HTF Timeframe` + `HTF EMA Length`
`Require Volume Surge` (`volLen`, `volMult`)
`Avoid Ultra-Low Vol` (`Min BB Width %`)
`Session` window
Risk / Exits
`ATR Length`, `ATR Stop Multiplier`
`Take Profit at 1R` (with Partial 50%)
`Chandelier` (`chLen`, `chMult`)
Optional `Time Stop (bars)`
🎯 Entry & Exit Rules
Entry (choose one mode):
1. Release + Momentum (default)
Long: on the bar the squeeze releases and `mom > 0`, passing all enabled filters.
Short: on the bar the squeeze releases and `mom < 0`, passing filters.
2. Band Break + Momentum
Long: `close > BB_Upper` and `mom > 0`, with filters.
Short: `close < BB_Lower` and `mom < 0`, with filters.
Initial Stop
ATR-based: `Stop Distance = atrMult × ATR(atrLen)` from entry.
Targets & Runner
TP1 at 1R (optional): take 50% at `entry + 1R` (long) / `entry − 1R` (short).
Runner: remaining position trails a Chandelier stop:
Long trail = `highest(high, chLen) − chMult × ATR`
Short trail = `lowest(low, chLen) + chMult × ATR`
Optional Time Stop: close the trade after N bars in position.
Labels on chart
“Long” / “Short” = entry signals.
“L-TP1 / S-TP1” = partial exits at 1R.
“L-Runner / S-Runner” = trailing-stop exits of the runner.
Alerts
Provided for Long Entry, Short Entry, and Squeeze Release.
💬 How to use
1. Choose your market/timeframe (e.g., NSE 5–15m intraday, 60m–Daily for swing).
2. If you prefer cleaner trends, enable the HTF EMA filter (e.g., 240m/1D).
3. For intraday, consider Band Break + Momentum with Volume Surge and a small Min BB Width.
4. Adjust ATR/Chandelier multipliers to fit your risk tolerance and instrument.
Abbreviations
BB – Bollinger Bands
KC – Keltner Channels
ATR – Average True Range
SMA / EMA – Simple/Exponential Moving Average
HTF – Higher Timeframe
R – Risk unit (equal to the initial stop distance)
⚠️ Disclaimer
This script is for educational purposes only. Past performance ≠ future returns. Always paper trade first. Options trading carries high risk — manage exposure responsibly.
Kei_VWAP_EMA_PublicENGLISH (for TradingView description)
Kei_VWAP_EMA_Public — VWAP + EMA(9/21) with optional “blue +” reclaim signals (JP 5m ready)
What it does
Overlays VWAP and EMA 9/21.
Optional blue “+” markers when price reclaims VWAP and EMA9 > EMA21 (momentum resume).
Optional volume confirmation (e.g., ×1.2 of the 5-bar average).
Optional manual POC band “+” (enter your POC level and a small band to show bounce attempts).
Optional 9:30 JST vertical line for Japan cash open routine.
Why
Keep you out of the noise zone and focus on two repeatable setups:
VWAP Reclaim (trend), 2) POC Bounce (mean-revert).
How to use (playbook, 5-min tuned)
Timeframe: 5m (works 1–15m).
VWAP Reclaim “+”: consider a buy stop above the signal bar’s high.
TP1 ≈ +1×ATR, TP2 ≈ +2×ATR; SL = EMA21 break or VWAP failure.
If it doesn’t progress within 10–15 minutes, consider a time stop.
POC Bounce “+”: enable in inputs, set POC level and band (e.g., ±3). Aim for quick pop to EMA9 → VWAP.
Risk guardrails: no averaging-down, always OCO, daily loss cap ≈ 0.8% of total active trading equity (JP+US combined).
Inputs
Show VWAP / EMA9 / EMA21, Line width
Show blue “+” markers, Require volume boost, Volume multiplier
Enable POC band “+”, POC level, POC band width
Show 9:30 line (JP)
Notes
This is the PUBLIC / visual version—no alerts or risk logic. A private Pro version with alerts exists for personal use.
Educational use only — not financial advice.
日本語（TradingView説明文）
Kei_VWAP_EMA_Public — VWAPとEMA(9/21)＋「青＋」シグナル（5分足チューニング）
機能
VWAP と EMA9/EMA21 を表示。
価格がVWAPを再奪回し、かつ EMA9＞EMA21 のときに**「青＋」**を表示（モメンタム再点火）。
任意で出来高ブースト条件（5本平均の×1.2など）を追加可能。
任意でPOC反発の「青＋」（POC価格と許容帯を手入力）。
9:30（日本時間） の縦ラインを任意表示。
狙い
ノイズ帯での新規を避け、
VWAP奪回の順張り、2) POC反発の逆張り短距離、の2セットアップに集中。
使い方（5分足想定）
VWAP奪回「青＋」：シグナル足の高値上に買いストップを置く案。
TP1= +1×ATR、TP2= +2×ATR／SL= EMA21割れやVWAP失敗。
10–15分で進展がない場合は時間損切も検討。
POC反発「青＋」：入力でPOCを設定、バンド（±3など）内の下ヒゲ＋出来高↑でEMA9→VWAP手前までの短距離狙い。
リスク管理：平均値下げ禁止、常時OCO、日次ドローダウン上限は**合算0.8%**目安（日本株＋米株のアクティブ資金）。
入力項目
VWAP/EMA9/EMA21の表示、線幅
「青＋」表示、出来高ブーストON/OFF、倍率
POC反発ON/OFF、POCレベル、バンド幅
9:30ライン表示
注意
これは公開用のライト版です（アラート／リスクロジックは未搭載）。実運用は非公開のPro版で行っています。
※投資助言ではありません。自己責任でご利用ください。
Tradisfy | TSFY | ORB Pro**TSFY | ORB Pro**
Introduction
TSFY | ORB Pro combines the classic Opening Range Breakout (ORB) logic with professional market structure tools such as EMAs, the Daily Open, ADR, and Pivot Points.
The goal: A clean and logically structured intraday visualization of volatility, trend, and key price zones — without visual clutter.
Timezone: Europe/Berlin
---
Core Features
Multi-Session ORB: Separate Opening Ranges for London, Gold, and New York sessions with ORH, ORL, and Mid levels, optionally extendable to the end of the trading day.
EMAs (Intraday & Daily): Adaptive trend filters from 4 to 800 periods plus Daily 13/50/200 EMAs for higher-timeframe structure context.
Classic Pivots: Automatic calculation of daily PP, R, S, and Mid levels with fully customizable colors, styles, and extensions.
Daily Open: Marks the daily opening price as a bias reference point.
ADR (Average Daily Range): Calculates the average true range of the last X days, optionally anchored to the Daily Open with an optional 50% midpoint.
---
Interpretation
Break above ORH → bullish momentum; break below ORL → bearish weakness.
Combine ORB zones with EMAs, Pivots, or ADR for higher confluence.
Daily Open provides intraday bias, ADR defines realistic target zones.
Reactions around R/S levels or OR Mid often indicate short-term turning points.
---
Usage
Use the ORB zone as the basis for breakout, retest, or mean-reversion setups.
Plan realistic take-profit zones using ADR and Pivot levels.
Daily EMAs define the overall market bias.
All components can be toggled on or off individually.
---
Notes
Optimized for intraday ORB trading.
No alerts integrated (yet).
All colors, line widths, and transparency levels are fully customizable.
Non-repainting — lines are extended forward, not redrawn.
Performance-friendly despite multiple visual components (max. 500 lines/labels).
---
TSFY | ORB Pro is a complete framework for modern intraday traders who want to combine session logic, trend filters, and market structure into one clean and efficient tool.
Adaptive Trend 1m ### Overview
The "Adaptive Trend Impulse Parallel SL/TP 1m Realistic" strategy is a sophisticated trading system designed specifically for high-volatility markets like cryptocurrencies on 1-minute timeframes. It combines trend-following with momentum filters and adaptive parameters to dynamically adjust to market conditions, ensuring more reliable entries and risk management. This strategy uses SuperTrend for primary trend detection, enhanced by MACD, RSI, Bollinger Bands, and optional volume spikes. It incorporates parallel stop-loss (SL) and multiple take-profit (TP) levels based on ATR, with options for breakeven and trailing stops after the first TP. Optimized for realistic backtesting on short timeframes, it avoids over-optimization by adapting indicators to market speed and efficiency.
### Principles of Operation
The strategy operates on the principle of adaptive impulse trading, where entry signals are generated only when multiple conditions align to confirm a strong trend reversal or continuation:
1. **Trend Detection (SuperTrend)**: The core signal comes from an adaptive SuperTrend indicator. It calculates upper and lower bands using ATR (Average True Range) with dynamic periods and multipliers. A buy signal occurs when the price crosses above the lower band (from a downtrend), and a sell signal when it crosses below the upper band (from an uptrend). Adaptation is based on Rate of Change (ROC) to measure market speed, shortening periods in fast markets for quicker responses.
2. **Momentum and Trend Filters**:
- **MACD**: Uses adaptive fast and slow lengths. In "Trend Filter" mode (default when "Use MACD Cross" is false), it checks if the MACD line is above/below the signal for long/short. In cross mode, it requires a crossover/crossunder.
- **RSI**: Adaptive period RSI must be above 50 for longs and below 50 for shorts, confirming overbought/oversold conditions dynamically.
- **Bollinger Bands (BB)**: Depending on the mode ("Midline" by default), it requires the price to be above/below the BB midline for longs/shorts, or a breakout in "Breakout" mode. Deviation adapts to market efficiency.
- **Volume Spike Filter** (optional): Entries require volume to exceed an adaptive multiple of its SMA, signaling strong impulse.
3. **Volatility Filter**: Entries are only allowed if current ATR percentage exceeds a historical minimum (adaptive), preventing trades in low-volatility ranges.
4. **Risk Management (Parallel SL/TP)**:
- **Stop-Loss**: Set at an adaptive ATR multiple below/above entry for long/short.
- **Take-Profits**: Three levels at adaptive ATR multiples, with partial position closures (e.g., 51% at TP1, 25% at TP2, remainder at TP3).
- **Post-TP1 Features**: Optional breakeven moves SL to entry after TP1. Trailing SL uses BB midline as a dynamic trail.
- All levels are calculated per trade using the ATR at entry, making them "realistic" for 1m charts by widening SL and tightening initial TPs.
The strategy enters long on buy signals with all filters met, and short on sell signals. It uses pyramid margin (100% long/short) for full position sizing.
Adaptation is driven by:
- **Market Speed (normSpeed)**: Based on ROC, tightens multipliers in volatile periods.
- **Efficiency Ratio (ER)**: Measures trend strength, adjusting periods for trending vs. ranging markets.
This ensures the strategy "adapts" without manual tweaks, reducing false signals in varying conditions.
### Main Advantages
- **Adaptability**: Unlike static strategies, parameters dynamically adjust to market volatility and trend strength, improving performance across ranging and trending phases without over-optimization.
- **Realistic Risk Management for 1m**: Wider SL and tiered TPs prevent premature stops in noisy short-term charts, while partial profits lock in gains early. Breakeven/trailing options protect profits in extended moves.
- **Multi-Filter Confirmation**: Combines trend, momentum, and volume for high-probability entries, reducing whipsaws. The volatility filter avoids flat markets.
- **Debug Visualization**: Built-in plots for signals, levels, and component checks (when "Show Debug" is enabled) help users verify logic on charts.
- **Efficiency**: Low computational load, suitable for real-time trading on TradingView with alerts.
Backtesting shows robust results on volatile assets, with a focus on sustainable risk (e.g., SL at 3x ATR avoids excessive drawdowns).
### Uniqueness
What sets this strategy apart is its **fully adaptive framework** integrating multiple indicators with real-time market metrics (ROC for speed, ER for efficiency). Most trend strategies use fixed parameters, leading to poor adaptation; here, every key input (periods, multipliers, deviations) scales dynamically within bounds, creating a "self-tuning" system. The "parallel SL/TP with 1m realism" adds custom handling for micro-timeframes: tightened initial TPs for quick wins and adaptive min-ATR filter to skip low-vol bars. Unlike generic mashups, it justifies the combination—SuperTrend for trend, MACD/RSI/BB for impulse confirmation, volume for conviction—working synergistically to capture "trend impulses" while filtering noise. The post-TP1 breakeven/trailing tied to BB adds a unique profit-locking mechanism not common in open-source scripts.
### Recommended Settings
These settings are optimized and recommended for trading ASTER/USDT on Bybit, with 1-minute chart, x10 leverage, and cross margin mode. They provide a balanced risk-reward for this volatile pair:
- **Base Inputs**:
- Base ATR Period: 10
- Base SuperTrend ATR Multiplier: 2.5
- Base MACD Fast: 8
- Base MACD Slow: 17
- Base MACD Signal: 6
- Base RSI Period: 9
- Base Bollinger Period: 12
- Bollinger Deviation: 1.8
- Base Volume SMA Period: 19
- Base Volume Spike Multiplier: 1.8
- Adaptation Window: 54
- ROC Length: 10
- **TP/SL Settings**:
- Use Stop Loss: True
- Base SL Multiplier (ATR): 3
- Use Take Profits: True
- Base TP1 Multiplier (ATR): 5.5
- Base TP2 Multiplier (ATR): 10.5
- Base TP3 Multiplier (ATR): 19
- TP1 % Position: 51
- TP2 % Position: 25
- Breakeven after TP1: False
- Trailing SL after TP1: False
- Base Min ATR Filter: 0.001
- Use Volume Spike Filter: True
- BB Condition: Midline
- Use MACD Cross (false=Trend Filter): True
- Show Debug: True
For backtesting, use initial capital of 30 USD, base currency USDT, order size 100 USDT, pyramiding 1, commission 0.1%, slippage 0 ticks, long/short margin 0%.
Always backtest on your platform and use risk management—risk no more than 1-2% per trade. This is not financial advice; trade at your own risk.
Customized Double Bollinger Bands🌐 English Version This indicator combines two Bollinger Bands to visualize both short-term and extreme volatility zones on the same chart. While a standard Bollinger Band shows how far price deviates from its mean, this customized version displays two standard deviation ranges, allowing traders to distinguish between mild and extreme volatility conditions. Band 1 (StdDev 0.5) captures short-term fluctuations near the price average, while Band 2 (StdDev 3.0) highlights overbought or oversold conditions at market extremes. When the distance between the two bands widens, volatility is increasing; when it narrows, the market is stabilizing or preparing for a breakout. ㆍPrice breaking above Band 2 → Potential overbought or strong bullish trend ㆍPrice falling below Band 2 → Possible oversold or bearish continuation ㆍBands tightening → Volatility compression, potential reversal zone This indicator is designed primarily for volatility visualization rather than directional prediction. For higher accuracy, use it alongside RSI, MACD, or trend-based indicators. Developed by wjdtks255
Customized Double Bollinger Bands🌐 English Version
This indicator combines two Bollinger Bands to visualize both short-term and extreme volatility zones on the same chart.
While a standard Bollinger Band shows how far price deviates from its mean,
this customized version displays two standard deviation ranges, allowing traders to distinguish between mild and extreme volatility conditions.
Band 1 (StdDev 0.5) captures short-term fluctuations near the price average,
while Band 2 (StdDev 3.0) highlights overbought or oversold conditions at market extremes.
When the distance between the two bands widens, volatility is increasing;
when it narrows, the market is stabilizing or preparing for a breakout.
ㆍPrice breaking above Band 2 → Potential overbought or strong bullish trend
ㆍPrice falling below Band 2 → Possible oversold or bearish continuation
ㆍBands tightening → Volatility compression, potential reversal zone
This indicator is designed primarily for volatility visualization rather than directional prediction.
For higher accuracy, use it alongside RSI, MACD, or trend-based indicators.
Developed by wjdtks255
SMC FVG/IFVG (Multi-TF x 4) [ZAUTEC]SMC FVG/IFVG (Multi-TF x 4): Multi-Timeframe Fair Value Gap with Inversed FVG Detection
This powerful Pine Script indicator is designed to help traders identify, track, and manage Fair Value Gaps (FVGs) and their respective Inversed Fair Value Gaps (IFVGs) across up to four different timeframes simultaneously.
Key Features
Multi-Timeframe Analysis (4x): Analyze and display FVGs from four distinct timeframes alongside your current chart, offering a comprehensive view of market imbalances across various scales.
Fair Value Gap (FVG) Detection: Automatically identifies classic three-candle FVGs (market inefficiencies).
Customizable FVG Length: Set how many bars the FVG boxes should initially extend for.
Minimum Gap Size: Filter out minor, insignificant gaps using a tick-based minimum size threshold.
Optional Box Extension: Dynamically extend FVG boxes to the current bar index or use a fixed extension for a cleaner chart.
Inversed FVG (IFVG) Logic: Detects a high-probability reversal pattern where a previously filled FVG zone is immediately followed by the formation of a new, opposite FVG within or adjacent to the same area. This confirms the old FVG has "flipped roles" (e.g., from support to resistance).
Lookback Period: Defines how long the indicator searches for a corresponding FVG breach to confirm the IFVG.
IFVG Minimum Size: Customizable minimum size threshold for the IFVG.
Dynamic Box Management:
Automatic Fill Deletion: FVGs are automatically removed from the chart when price action fully trades through the gap, signifying the imbalance has been "filled."
IFVG Tracking: IFVGs are tracked and removed from the chart after the configurable lookback period.
Full Customization: Control the visibility, colors, border styles (solid, dashed, dotted), and width for FVG, Bearish FVG, Bullish FVG, and IFVG boxes independently for each of the four timeframes.
How to Use
Select Timeframes: Choose up to four desired timeframes in the settings (e.g., "15" for 15-minute, "4H" for 4-hour, "D" for Daily). Leave the field empty to use the chart's current timeframe.
Toggle Visibility: Use the Show FVG and Show IFVG toggles to focus on the imbalances you wish to see.
Adjust Extension: Set Extend Boxes to bar index to true to keep all open FVG boxes drawn all the way to the current live price bar.
Interpret the Gaps:
FVG (Bullish/Bearish): Potential areas for price to return to and find support/resistance.
IFVG (Inverse FVG): Stronger signals that a previous zone of imbalance has been violated and is likely to act as a significant flip zone for future price movements.
This indicator is an essential tool for traders utilizing concepts like ICT (Inner Circle Trader) and SMC (Smart Money Concepts), providing a clear visual representation of market structure and liquidity voids.
Trend Following Reflectometry🧭 Trend Following Reflectometry (TFR)
Author: Stef Jonker
Version: Pine Script® v6
The Trend Following Reflectometry (TFR) indicator translates market behavior into the language of impedance and signal reflection theory, providing a unique way to measure trend strength, stability, and purity.
🧩 Summary
Trend Following Reflectometry acts as a trend-quality meter, helping traders identify when a trend is strong, efficient, and worth following — or when the market is too noisy to trust.
It blends physics-inspired logic with practical trading insight, offering both a directional oscillator and a trend stability filter in one tool.
⚙️ Concept
Inspired by electrical impedance matching, this tool compares the market’s characteristic impedance (Z₀) — its natural volatility-to-price behavior — with the load impedance (Zₗ), representing current trend momentum.
The interaction between these two produces a reflection coefficient (Gamma) and a VSWR ratio, which reveal how efficiently market trends are transmitting energy (moving smoothly) versus reflecting noise (becoming unstable).
📊 Core Components
Z₀ (Characteristic Impedance): Market baseline, derived from ATR and SMA.
Zₗ (Load Impedance): Trend momentum based on fast and slow EMAs.
Γ (Gamma – Reflection Coefficient): Measures the mismatch between Z₀ and Zₗ.
VSWR (Voltage Standing Wave Ratio): Quantifies trend purity — lower = cleaner trend.
Impedance Oscillator: Combines momentum and reflection to produce directional bias.
⚡ Gamma & VSWR Interpretation
Gamma (Γ) represents the reflection coefficient — how much of the market’s trend energy is being reflected instead of transmitted.
When Gamma is low, the market trend is smooth and efficient, moving with little resistance.
When Gamma is high, the market becomes unstable or overextended, signaling potential turbulence, exhaustion, or reversal pressure.
VSWR (Voltage Standing Wave Ratio) measures trend purity — how clean or distorted the current trend is.
A low VSWR indicates a well-aligned, steady trend that’s likely to continue smoothly.
A high VSWR suggests an unbalanced or noisy market, where trends may struggle to sustain or could soon reverse.
Together, Gamma and VSWR help identify how well the market’s current momentum aligns with its natural behavior — whether the trend is stable and efficient or reflecting instability beneath the surface.
Alpha Signal PROSuggested Title:
Probability Indicator: Alpha Signal PRO
English Description for TradingView Publication:
Overview
Tired of indicators that generate endless signals without telling you the true quality of each setup?
Alpha Signal PRO is more than just another buy/sell indicator; it is a complete decision-support system designed for traders who operate on confluence and high-probability setups. Instead of just telling you when to enter, this indicator analyzes each potential opportunity through a proprietary engine and grades it within a clear hierarchy. This allows you to focus only on the highest quality setups and manage your risk intelligently.
👑 The Difference: The Signal Grading Engine™
The true power of Alpha Signal PRO lies in its intelligent analysis engine. Rather than treating all signals equally, it qualifies them across different confidence levels, enabling superior risk management and a focus on A++ setups.
Basic Signal (M): A moderate-quality opportunity, ideal for more active traders targeting shorter-term moves.
Reinforced Signal (M+): A high-quality setup where multiple trend and momentum factors are in alignment. These are the signals that form the foundation of a consistent strategy.
ALPHA Signal (A++): The "Golden Setup." A rare confluence of ideal market conditions, confirmed by an algorithm that detects institutional strength. These are the highest-conviction signals, designed to capture the most significant market moves.
✅ Key Features
High-Precision Signals: A proprietary algorithm identifies entry points based on momentum and trend continuation.
Signal Quality Grading: Every signal is graded (M, M+, A++) so you instantly know the strength of each opportunity.
100% Non-Repainting: What you see on the chart is exactly how signals would have appeared in real-time. Absolute reliability for your studies and visual backtesting.
Dynamic Risk Management: Stop Loss and Take Profit levels are automatically calculated based on the market's current volatility (ATR), adapting to any asset.
Multiple Exit Modes: Configure your exit strategy to suit your style, whether for scalping, day trading, or swing trading.
Complete Performance Dashboard: Track key performance metrics directly on your chart, allowing for quick and efficient optimization.
Integrated Alert System: Never miss an opportunity. Receive detailed alerts, including the signal's quality grade, on your mobile device or desktop.
How to Use: The Sniper Philosophy
Alpha Signal PRO is designed for traders who prefer quality over quantity.
Focus on ALPHA Signals: Patience is key. Wait for the A++ setups, which represent the best opportunities the system can find.
Adapt to the Asset: The strategy thrives on momentum-driven assets like Indices, Crypto, and Metals. For slower, mean-reverting markets like Forex pairs, we strongly recommend using higher timeframes (H1, H4) to capture clearer trends.
Trust the Risk Management: Use the ATR-based SL and TP levels as a foundation for solid and consistent risk management.
Access
This is a private, invite-only indicator. It will not be made available in the public TradingView library.
Disclaimer: Success in trading requires more than a good tool. It is essential to combine the use of Alpha Signal PRO with strict risk management and discipline. Past performance is not indicative of future results.
Hyper SAR Reactor Trend StrategyHyperSAR Reactor Adaptive PSAR Strategy
Summary
Adaptive Parabolic SAR strategy for liquid stocks, ETFs, futures, and crypto across intraday to daily timeframes. It acts only when an adaptive trail flips and confirmation gates agree. Originality comes from a logistic boost of the SAR acceleration using drift versus ATR, plus ATR hysteresis, inertia on the trail, and a bear-only gate for shorts. Add to a clean chart and run on bar close for conservative alerts.
Scope and intent
• Markets: large cap equities and ETFs, index futures, major FX, liquid crypto
• Timeframes: one minute to daily
• Default demo: BTC on 60 minute
• Purpose: faster yet calmer PSAR that resists chop and improves short discipline
• Limits: this is a strategy that places simulated orders on standard candles
Originality and usefulness
• Novel fusion: PSAR AF is boosted by a logistic function of normalized drift, trail is monotone with inertia, entries use ATR buffers and optional cooldown, shorts are allowed only in a bear bias
• Addresses false flips in low volatility and weak downtrends
• All controls are exposed in Inputs for testability
• Yardstick: ATR normalizes drift so settings port across symbols
• Open source. No links. No solicitation
Method overview
Components
• Adaptive AF: base step plus boost factor times logistic strength
• Trail inertia: one sided blend that keeps the SAR monotone
• Flip hysteresis: price must clear SAR by a buffer times ATR
• Volatility gate: ATR over its mean must exceed a ratio
• Bear bias for shorts: price below EMA of length 91 with negative slope window 54
• Cooldown bars optional after any entry
• Visual SAR smoothing is cosmetic and does not drive orders
Fusion rule
Entry requires the internal flip plus all enabled gates. No weighted scores.
Signal rule
• Long when trend flips up and close is above SAR plus buffer times ATR and gates pass
• Short when trend flips down and close is below SAR minus buffer times ATR and gates pass
• Exit uses SAR as stop and optional ATR take profit per side
Inputs with guidance
Reactor Engine
• Start AF 0.02. Lower slows new trends. Higher reacts quicker
• Max AF 1. Typical 0.2 to 1. Caps acceleration
• Base step 0.04. Typical 0.01 to 0.08. Raises speed in trends
• Strength window 18. Typical 10 to 40. Drift estimation window
• ATR length 16. Typical 10 to 30. Volatility unit
• Strength gain 4.5. Typical 2 to 6. Steepness of logistic
• Strength center 0.45. Typical 0.3 to 0.8. Midpoint of logistic
• Boost factor 0.03. Typical 0.01 to 0.08. Adds to step when strength rises
• AF smoothing 0.50. Typical 0.2 to 0.7. Adds inertia to AF growth
• Trail smoothing 0.35. Typical 0.15 to 0.45. Adds inertia to the trail
• Allow Long, Allow Short toggles
Trade Filters
• Flip confirm buffer ATR 0.50. Typical 0.2 to 0.8. Raise to cut flips
• Cooldown bars after entry 0. Typical 0 to 8. Blocks re entry for N bars
• Vol gate length 30 and Vol gate ratio 1. Raise ratio to trade only in active regimes
• Gate shorts by bear regime ON. Bear bias window 54 and Bias MA length 91 tune strictness
Risk
• TP long ATR 1.0. Set to zero to disable
• TP short ATR 0.0. Set to 0.8 to 1.2 for quicker shorts
Usage recipes
Intraday trend focus
Confirm buffer 0.35 to 0.5. Cooldown 2 to 4. Vol gate ratio 1.1. Shorts gated by bear regime.
Intraday mean reversion focus
Confirm buffer 0.6 to 0.8. Cooldown 4 to 6. Lower boost factor. Leave shorts gated.
Swing continuation
Strength window 24 to 34. ATR length 20 to 30. Confirm buffer 0.4 to 0.6. Use daily or four hour charts.
Properties visible in this publication
Initial capital 10000. Base currency USD. Order size Percent of equity 3. Pyramiding 0. Commission 0.05 percent. Slippage 5 ticks. Process orders on close OFF. Bar magnifier OFF. Recalculate after order filled OFF. Calc on every tick OFF. No security calls.
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Shapes can move while a bar forms and settle on close. Strategies execute only on standard candles.
Honest limitations and failure modes
High impact events and thin books can void assumptions. Gap heavy symbols may prefer longer ATR. Very quiet regimes can reduce contrast and invite false flips.
Open source reuse and credits
Public domain building blocks used: PSAR concept and ATR. Implementation and fusion are original. No borrowed code from other authors.
Strategy notice
Orders are simulated on standard candles. No lookahead.
Entries and exits
Long: flip up plus ATR buffer and all gates true
Short: flip down plus ATR buffer and gates true with bear bias when enabled
Exit: SAR stop per side, optional ATR take profit, optional cooldown after entry
Tie handling: stop first if both stop and target could fill in one bar
Custom Net ATR Mapping - NateThis indicator measures how much an asset actually moves — both on average and across full periods — so traders can compare short-term volatility with longer-term net momentum.
It displays four key metrics in a simple color-coded table:
Standard ATR – the average daily (or per-bar) range, showing typical volatility.
Net ATR – the average open-to-close move, revealing how much price tends to travel directionally within each bar.
Total Net Move – the total distance price has moved from the start to the end of the most recent measurement window.
Average Net Move – the typical size of that full-period move, averaged across multiple recent windows.
Together these readings help you see whether recent price action is choppy but contained (high ATR, low net move) or sustained and directional (high net move relative to ATR) — useful for spotting trend strength, breakout potential, or range-bound conditions.
Low Range Predictor [NR4/NR7 after WR4/WR7/WR20, within 1-3Days]Indicator Overview
The Low Range Predictor is a TradingView indicator displayed in a single panel below the chart. It spots volatility contraction setups (NR4/NR7 within 1–3 days of WR4/WR7/WR20) to predict low-range moves (e.g., <0.5% daily on SPY) over 2–5 days, perfect for your weekly 15/22 DTE put calendar spread strategy.
What You See
• Red Histograms (WR, Volatility Climax):
• WR4: Half-length red bars, widest range in 4 bars.
• WR7: Three-quarter-length red bars, widest in 7 bars.
• WR20: Full-length red bars, widest in 20 bars.
• Green Histograms (NR, Entry Signals):
• NR4: Half-length green bars, only on NR4 days (tightest range in 4 bars) within 1–3 days of a WR4.
• NR7: Full-length green bars, only on NR7 days within 1–3 days of a WR7.
• Panel: All signals (red WR4/WR7/WR20, green NR4/NR7) show in one panel below the chart, with green bars marking put calendar entry days.
Probabilities
• Volatility Contraction:
• NR4 after WR4: 65–70% chance of daily ranges <0.5% on SPY for 2–5 days (ATR drops 20–30%). Occurs ~2–3 times/month.
• NR7 after WR7: 60–65% chance of similar low ranges, less frequent (~1–2 times/month).
• Backtest (SPY, 2000–2025): 65% of NR4/NR7 signals lead to reduced volatility (<0.7% daily range) vs. 50% for random days.
• Signal Frequency: NR4 signals are more common than NR7, ideal for weekly entries. WR20 provides context but isn’t tied to NR signals.
