BTE/TSS - IB 2.0📊 BTE – IB 2.0 (Initial Balance Framework)
BTE – IB 2.0 is a professional Initial Balance (IB) indicator designed for intraday traders who focus on market structure, auction logic, and contextual decision-making — not signal chasing.
The indicator automatically calculates IB High, IB Low, and IB Mid from a user-defined session (default: NY open) and projects IB-based extensions derived from the actual IB range, not arbitrary multipliers.
This is not a predictive tool.
It is a structural framework for understanding market behavior.
📐 What the indicator displays
• IB High & IB Low – core auction boundaries
• IB Mid (50%) – balance point of the auction
• IB Extensions (1×, 2×, 3×) – range-based projections
• Intermediate 50% levels between all extensions
• Optional IB calculation area (boxed range)
• Clean, readable IB level labels directly on the chart
All elements are fully customizable: colors, line styles, extensions, labels, and visibility.
📊 IB Delta & NY Range Analytics
The indicator includes a 20-day statistical table showing:
• IB Range (IB Delta)
• NY Session Range
• Maximum / Mean / Minimum / Current day values
This helps traders:
• evaluate volatility context
• distinguish rotational vs. expansion days
• avoid trading breakouts when statistics do not support them
👤 Who this indicator is for
• Traders using auction market theory
• Traders working with Initial Balance structure
• Traders focused on context, behavior, and reaction
🚫 Who this indicator is NOT for
• Traders looking for buy/sell signals
• Traders expecting predictions
• Traders ignoring session context and structure
🕒 Recommended use
• ES / NQ / YM / RTY
• Futures & index markets
• NY RTH session
• Best combined with Market Profile, order flow, and price action
⚠️ Important note
This indicator does not predict direction.
It defines auction boundaries — execution and bias are the trader’s responsibility.
If you do not understand how to work with Initial Balance, the issue is not the tool.
📩 Contact
For questions, access, or professional use inquiries:
admin@tradingstrategystore.com
Индикаторы и стратегии
NQ Geometric Trading System NQ Geometric Trading System
Advanced confluence indicator for NQ futures implementing Michael S. Jenkins' geometric methodology.
Core Features:
Automatic spike detection (9:30-9:35) captures institutional footprint
Geometric levels from opening range using Jenkins ratios (R_50, R_25, R_67, extensions)
Rising zero angles provide dynamic time+price support/resistance
Fibonacci time windows highlight natural reversal periods
Weighted confluence algorithm (spike levels = 2x, others = 1x)
Real-time dashboard displays score 0-10 and signal strength
Customizable alerts for high-probability setups
How It Works:
System automatically detects opening spike extremes, calculates geometric ratios from 9:30-10:00 range, projects zero angles rising at 0.75 points/minute, and highlights Fibonacci time windows. When multiple factors align, dashboard shows confluence score with color-coded signals (Strong 5+, Trade 4, Watch 3).
Optimized For:
NQ/MNQ scalping and day trading on 1-5 minute timeframes. Works best during regular trading hours with timezone set to Exchange.
Customizable:
15+ parameters including angle rate, confluence threshold, price tolerance, time windows, and visual settings. Default optimized for NQ but adaptable.
Requirements:
Chart timezone must be "Exchange" or "America/New_York" for proper spike/range detection.
Perfect for traders seeking mechanical, objective signals based on proven geometric principles.
PIPSTA - Shot## 🔒 PIPSTA – SHOT (PRIVATE)
**PIPSTA – Shot** is a proprietary, rules-based execution engine designed for **high-liquidity instruments** including **Gold, commodities, indices, and major crypto pairs**.
The model is built for **precision entries, controlled risk, and statistical transparency**, and is distributed strictly on a **private / invite-only basis**.
This script is not a signal generator for discretionary trading. It is a **fully defined execution framework** intended for disciplined deployment and performance evaluation.
---
## ⚙️ CORE EXECUTION LOGIC
The system operates using a **dynamic moving-average anchor**, combined with **volatility expansion filters** derived from:
* Standard Deviation (price dispersion)
* ATR (true volatility)
* Instrument-specific normalization
Trades are triggered only when price expands beyond statistically significant thresholds relative to the selected MA structure.
---
## 🔄 ADAPTIVE MULTI-ASSET FRAMEWORK
Each supported instrument uses **custom-tuned parameters**, including:
* MA type and length
* Volatility coefficients
* Entry distance calibration
* Risk normalization factors
This allows the same core logic to adapt across **Gold, Oil, Crypto, and Indices** without curve-fitting a single market regime.
---
## 🎯 ENTRY & RISK MANAGEMENT
* **Stop-entry execution** (no market chasing)
* **Single position exposure** (no pyramiding)
* **Predefined stop-loss logic**
* **Multi-level profit expansion tracking**
Risk is controlled structurally through volatility normalization rather than discretionary adjustment.
---
## 📊 PERFORMANCE & STATISTICS
The script includes an **integrated statistical engine** that tracks:
* Peak favorable excursion (MFE)
* Peak adverse excursion (drawdown)
* Trade-level probability of reaching multiple profit thresholds
* Rolling statistics across configurable trade samples
This allows users to evaluate **probability, consistency, and efficiency**, not just net profit.
---
## 📋 PROBABILITY TABLES
Live probability tables display:
* Long vs Short performance
* Win probability across multiple TP levels
* Rolling statistics based on recent closed trades
These tables are intended for **decision validation and risk calibration**, not prediction.
---
## 🔐 ACCESS & DISCLAIMER
This script is **private and proprietary**.
All logic, structure, and parameterization are confidential and intended solely for authorized users.
* No redistribution
* No resale
* No reverse engineering
Usage implies acceptance of **PIPSTA private licensing terms**.
Account GuardianAccount Guardian: Dynamic Risk/Reward Overlay
Introduction
Account Guardian is an open-source indicator for TradingView designed to help traders evaluate trade setups before entering positions. It automatically calculates Risk-to-Reward ratios based on market structure, displays visual Stop Loss and Take Profit zones, and provides real-time position sizing recommendations.
The indicator addresses a fundamental question every trader should ask before entering a trade: "Does this setup make mathematical sense?" Account Guardian answers this question visually and numerically, helping traders avoid impulsive entries with poor risk profiles.
Core Functionality
Account Guardian performs four primary functions:
Detects swing highs and swing lows to identify logical stop loss placement levels
Calculates Risk-to-Reward ratios for both long and short setups in real-time
Displays visual SL/TP zones on the chart for immediate trade planning
Computes position sizing based on your account size and risk tolerance
The goal is to provide traders with instant feedback on whether a potential trade meets their minimum risk/reward criteria before committing capital.
How It Works
Swing Detection
The indicator uses pivot point detection to identify recent swing highs and swing lows on the chart. These swing points serve as logical areas for stop loss placement:
For Long Trades: The most recent swing low becomes the stop loss level. Price breaking below this level would invalidate the bullish thesis.
For Short Trades: The most recent swing high becomes the stop loss level. Price breaking above this level would invalidate the bearish thesis.
The swing detection lookback period is configurable, allowing you to adjust sensitivity based on your trading timeframe and style.
It automatically adjusts the tp and sl when it is applied to your chart so it is always moving up and down!
Risk/Reward Calculation
Once swing levels are identified, the indicator calculates:
Entry Price: Current close price (where you would enter)
Stop Loss: Recent swing low (for longs) or swing high (for shorts)
Risk: Distance from entry to stop loss
Take Profit: Entry plus (Risk × Target Multiplier)
R:R Ratio: Reward divided by Risk
The R:R ratio is then evaluated against your configured thresholds to determine if the setup is valid, marginal, or poor.
Visual Elements
SL/TP Zones
When enabled, the indicator draws colored boxes on the chart showing:
Red Zone: Stop Loss area - the region between your entry and stop loss
Green/Gold/Red Zone: Take Profit area - colored based on R:R quality
The color coding provides instant visual feedback:
Green: R:R meets or exceeds your "Good R:R" threshold (default 3:1)
Gold: R:R meets minimum threshold but below "Good" (between 2:1 and 3:1)
Red: R:R below minimum threshold - setup should be avoided
Swing Point Markers
Small circles mark detected swing points on the chart:
Green circles: Swing lows (potential support / long SL levels)
Red circles: Swing highs (potential resistance / short SL levels)
Dashboard Panel
The dashboard in the top-right corner displays comprehensive trade planning information:
R:R Row: Current Risk-to-Reward ratio for long and short setups
Status Row: VALID, OK, BAD, or N/A based on R:R thresholds
Stop Loss Row: Exact price level for stop loss placement
Take Profit Row: Exact price level for take profit placement
Pos Size Row: Recommended position size based on your risk parameters
Risk $ Row: Dollar amount at risk per trade
Position Sizing Logic
The indicator calculates position size using the formula:
Position Size = Risk Amount / Risk per Unit
Where:
Risk Amount = Account Size × (Risk Percentage / 100)
Risk per Unit = Entry Price - Stop Loss Price
For example, with a $10,000 account risking 1% per trade ($100), if your entry is at 100 and stop loss at 98 (risk of 2 per unit), your position size would be 50 units.
Input Parameters
Swing Detection:
Swing Lookback: Number of bars to look back for pivot detection (default: 10). Higher values find more significant swing points but may be slower to update.
Target Multiplier: Multiplier applied to risk to calculate take profit distance (default: 2). A value of 2 means TP is 2× the distance of SL from entry.
Risk/Reward Thresholds:
Minimum R:R: Minimum acceptable Risk-to-Reward ratio (default: 2.0). Setups below this show as "BAD" in red.
Good R:R: Threshold for excellent setups (default: 3.0). Setups at or above this show as "VALID" in green.
Account Settings:
Account Size ($): Your trading account size in dollars (default: 10,000). Used for position sizing calculations.
Risk Per Trade (%): Percentage of account to risk per trade (default: 1.0%). Professional traders typically risk 0.5-2% per trade.
Display:
Show SL/TP Zones: Toggle visibility of the colored zone boxes on chart (default: enabled)
Show Dashboard: Toggle visibility of the information panel (default: enabled)
Analyze Direction: Choose to analyze Long only, Short only, or Both directions (default: Both)
How to Use This Indicator
Basic Workflow:
Add the indicator to your chart
Configure your account size and risk percentage in the settings
Set your minimum and good R:R thresholds based on your trading rules
Look at the dashboard to see current R:R for potential long and short entries
Only consider trades where the status shows "VALID" or at minimum "OK"
Use the displayed SL and TP levels for your order placement
Use the position size recommendation to determine lot/contract size
Interpreting the Dashboard:
VALID (Green): Excellent setup - R:R meets your "Good" threshold. This is the ideal scenario for taking a trade.
OK (Gold): Acceptable setup - R:R meets minimum but isn't optimal. Consider taking if other confluence factors align.
BAD (Red): Poor setup - R:R below minimum threshold. Avoid this trade or wait for better entry.
N/A (Gray): Cannot calculate - usually means no valid swing point detected yet.
Best Practices:
Use this indicator as a filter, not a signal generator. It tells you IF a trade makes sense, not WHEN to enter.
Combine with your existing entry strategy - use Account Guardian to validate setups from other analysis.
Adjust the swing lookback based on your timeframe. Lower timeframes may need smaller lookback values.
Be honest with your account size input - accurate position sizing requires accurate inputs.
Consider the target multiplier carefully. Higher multipliers mean larger potential reward but lower probability of hitting TP.
Alerts
The indicator includes four alert conditions:
Good Long Setup: Triggers when long R:R reaches or exceeds your "Good R:R" threshold
Good Short Setup: Triggers when short R:R reaches or exceeds your "Good R:R" threshold
Bad Long Setup: Triggers when long R:R falls below your minimum threshold
Bad Short Setup: Triggers when short R:R falls below your minimum threshold
These alerts can help you monitor multiple charts and get notified when favorable setups appear.
Technical Implementation
The indicator is built using Pine Script v6 and includes:
Pivot-based swing detection using ta.pivothigh() and ta.pivotlow()
Dynamic box drawing for visual SL/TP zones
Table-based dashboard for clean information display
Color-coded visual feedback system
Persistent variable tracking for swing levels
Code Structure:
// Swing Detection
float swingHi = ta.pivothigh(high, swingLen, swingLen)
float swingLo = ta.pivotlow(low, swingLen, swingLen)
// R:R Calculation for Long
float longSL = recentSwingLo
float longRisk = entry - longSL
float longTP = entry + (longRisk * targetMult)
float longRR = (longTP - entry) / longRisk
// Position Sizing
float riskAmount = accountSize * (riskPct / 100)
float posSize = riskAmount / longRisk
Limitations
The indicator uses historical swing points which may not always represent optimal SL placement for your specific strategy
Position sizing assumes you can trade fractional units - adjust accordingly for instruments with minimum lot sizes
R:R calculations assume linear price movement and don't account for gaps or slippage
The indicator doesn't predict price direction - it only evaluates the mathematical viability of a setup
Swing detection has inherent lag due to the lookback period required for pivot confirmation
Recommended Settings by Trading Style
Scalping (1-5 minute charts):
Swing Lookback: 5-8
Target Multiplier: 1-2
Minimum R:R: 1.5
Good R:R: 2.0
Day Trading (15-60 minute charts):
Swing Lookback: 8-12
Target Multiplier: 2
Minimum R:R: 2.0
Good R:R: 3.0
Swing Trading (4H-Daily charts):
Swing Lookback: 10-20
Target Multiplier: 2-3
Minimum R:R: 2.5
Good R:R: 4.0
Why Risk/Reward Matters
Many traders focus solely on win rate, but profitability depends on the combination of win rate AND risk/reward ratio. Consider these scenarios:
50% win rate with 1:1 R:R = Breakeven (before costs)
50% win rate with 2:1 R:R = Profitable
40% win rate with 3:1 R:R = Profitable
60% win rate with 1:2 R:R = Losing money
Account Guardian helps ensure you only take trades where the math works in your favor, even if you're wrong more often than you're right.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation.
Trading involves substantial risk of loss and is not suitable for all investors. The calculations provided by this indicator are based on historical price data and mathematical formulas that may not accurately predict future price movements.
Position sizing recommendations are estimates based on user inputs and should be verified before placing actual trades. Always consider factors such as leverage, margin requirements, and broker-specific rules when determining actual position sizes.
The Risk-to-Reward ratios displayed are theoretical calculations based on swing point detection. Actual trade outcomes will vary based on market conditions, execution quality, and other factors not captured by this indicator.
Past performance does not guarantee future results. Users should thoroughly test any trading approach in a demo environment before risking real capital. The authors and publishers of this indicator are not responsible for any losses or damages arising from its use.
Always consult with a qualified financial advisor before making investment decisions.
PIPSTA - SNIPER - ADVANCE## 🔒 PIPSTA – SNIPER – ADVANCE (PRIVATE)
**PIPSTA – SNIPER – ADVANCE** is a proprietary, time-based execution model built for **New York Kill Zone precision trading**.
It is designed to align traders with **institutional liquidity behavior**, not indicators or lagging signals.
This private script is optimized for **Gold (XAUUSD), indices, futures, and high-liquidity instruments**.
---
## ⚙️ FRAMEWORK
The system operates on three institutional pillars:
* **Liquidity (London session sweeps)**
* **Time (NY Kill Zone: 9:35–9:55 AM ET)**
* **Execution (algorithmic reversal & expansion behavior)**
Trades are allowed **only when all conditions align**.
---
## 🌍 SESSION INTELLIGENCE
Automatically tracks and plots:
* Asian session range
* London session range
* Pre-Market range
* NY Kill Zone window
All calculations are locked to **New York time (ET)** with full DST handling.
---
## 💧 LIQUIDITY CONFIRMATION
The script confirms **valid London high / low sweeps** using a controlled threshold.
Directional bias is only unlocked **after liquidity is taken**.
No sweep → no trade.
---
## 🎯 EXECUTION WINDOWS
Signals are restricted to:
* **Early NY spike reversals**
* **Post-manipulation algorithmic expansions**
Each signal auto-defines:
* Entry
* Stop Loss
* Target
* Risk-Reward structure
Only **one active trade** is permitted at a time.
---
## 📊 PRIVATE DASHBOARD
A clean, non-intrusive dashboard displays:
* Live session status
* Sweep confirmation
* Active trade direction
* Entry / TP / SL
* Risk-Reward
Designed for **decision support, not noise**.
---
## 🔔 ALERTS (OPTIONAL)
Private alerts include:
* Liquidity sweep confirmation
* Entry signals
* Target hit
* Stop hit
* Session-based forced exit
Ideal for **manual execution or signal distribution**.
---
## ⚠️ IMPORTANT
This is **not** a mass-market indicator.
It is a **context-driven execution model** intended for traders who understand:
* Liquidity
* Time-based manipulation
* Risk control
---
## 🔐 ACCESS
This script is **private / invite-only**.
FL Core Signals Only 4AM 4PMFL Core – Signals Only is a confirmation-based trading indicator designed to highlight structured entry and exit points during active market hours.
This script is not predictive and does not generate trade recommendations. It provides visual confirmation only after conditions are met and candles are closed.
Core characteristics:
• Signals are limited to 4:00 AM – 4:00 PM (exchange time)
• Designed for lower timeframes (1–5 minute charts)
• No indicator clutter — entries, exits, and profit target references only
• Logic is based on trend alignment and momentum confirmation
• Customizable profit target distances for different instruments
This indicator is intended for experienced traders who already understand risk management and execution. Users are responsible for their own trade decisions.
This is not an indicator you trade into.
It is a confirmation system you wait for.
Past performance does not guarantee future results.
Hurst-Optimized Adaptive Channel [Kodexius]Hurst-Optimized Adaptive Channel (HOAC) is a regime-aware channel indicator that continuously adapts its centerline and volatility bands based on the market’s current behavior. Instead of using a single fixed channel model, HOAC evaluates whether price action is behaving more like a trend-following environment or a mean-reverting environment, then automatically selects the most suitable channel structure.
At the core of the engine is a robust Hurst Exponent estimation using R/S (Rescaled Range) analysis. The Hurst value is smoothed and compared against user-defined thresholds to classify the market regime. In trending regimes, the script emphasizes stability by favoring a slower, smoother channel when it proves more accurate over time. In mean-reversion regimes, it deliberately prioritizes a faster model to react sooner to reversion opportunities, similar in spirit to how traders use Bollinger-style behavior.
The result is a clean, professional adaptive channel with inner and outer bands, dynamic gradient fills, and an optional mean-reversion signal layer. A minimalist dashboard summarizes the detected regime, the current Hurst reading, and which internal model is currently preferred.
🔹 Features
🔸 Robust Regime Detection via Hurst Exponent (R/S Analysis)
HOAC uses a robust Hurst Exponent estimate derived from log returns and Rescaled Range analysis. The Hurst value acts as a behavioral filter:
- H > Trend Start threshold suggests trend persistence and directional continuation.
- H < Mean Reversion threshold suggests anti-persistence and a higher likelihood of reverting toward a central value.
Values between thresholds are treated as Neutral, allowing the channel to remain adaptive without forcing a hard bias.
This regime framework is designed to make the channel selection context-aware rather than purely reactive to recent volatility.
🔸 Dual Channel Engine (Fast vs Slow Models)
Instead of relying on one fixed channel, HOAC computes two independent channel candidates:
Fast model: shorter WMA basis and standard deviation window, intended to respond quickly and fit more reactive environments.
Slow model: longer WMA basis and standard deviation window, intended to reduce noise and better represent sustained directional flow.
Each model produces:
- A midline (basis)
- Outer bands (wider deviation)
- Inner bands (tighter deviation)
This structure gives you a clear core zone and an outer envelope that better represents volatility expansion.
🔸 Rolling Optimization Memory (Model Selection by Error)
HOAC includes an internal optimization layer that continuously measures how well each model fits current price action. On every bar, each model’s absolute deviation from the basis is recorded into a rolling memory window. The script then compares total accumulated error between fast and slow models and prefers the one with lower recent error.
This approach does not attempt curve fitting on multiple parameters. It focuses on a simple, interpretable metric: “Which model has tracked price more accurately over the last X bars?”
Additionally:
If the regime is Mean Reversion, the script explicitly prioritizes the fast model, ensuring responsiveness when reversals matter most.
🔸 Optional Output Smoothing (User-Selectable)
The final selected channel can be smoothed using your choice of:
- SMA
- EMA
- HMA
- RMA
This affects the plotted midline and all band outputs, allowing you to tune visual stability and responsiveness without changing the underlying decision engine.
🔸 Premium Visualization Layer (Inner Core + Outer Fade)
HOAC uses a layered band design:
- Inner bands define the core equilibrium zone around the midline.
- Outer bands define an extended volatility envelope for extremes.
Gradient fills and line styling help separate the core from the extremes while staying visually clean. The midline includes a subtle glow effect for clarity.
🔸 Adaptive Bar Tinting Strength (Regime Intensity)
Bar coloring dynamically adjusts transparency based on how far the Hurst value is from 0.5. When market behavior is more decisively trending or mean-reverting, the tint becomes more pronounced. When behavior is closer to random, the tint becomes more subtle.
🔸 Mean-Reversion Signal Layer
Mean-reversion signals are enabled when the environment is not classified as Trending:
- Buy when price crosses back above the lower outer band
- Sell when price crosses back below the upper outer band
This is intentionally a “return to channel” logic rather than a breakout logic, aligning signals with mean-reversion behavior and avoiding signals in strongly trending regimes by default.
🔸 Minimalist Dashboard (HUD)
A compact table displays:
- Current regime classification
- Smoothed Hurst value
- Which model is currently preferred (Fast or Slow)
- Trend flow direction (based on midline slope)
🔹 Calculations
1) Robust Hurst Exponent (R/S Analysis)
The script estimates Hurst using a Rescaled Range approach on log returns. It builds a returns array, computes mean, cumulative deviation range (R), standard deviation (S), then converts RS into a Hurst exponent.
calc_robust_hurst(int length) =>
float r = math.log(close / close )
float returns = array.new_float(length)
for i = 0 to length - 1
array.set(returns, i, r )
float mean = array.avg(returns)
float cumDev = 0.0
float maxCD = -1.0e10
float minCD = 1.0e10
float sumSqDiff = 0.0
for i = 0 to length - 1
float val = array.get(returns, i)
sumSqDiff += math.pow(val - mean, 2)
cumDev += (val - mean)
if cumDev > maxCD
maxCD := cumDev
if cumDev < minCD
minCD := cumDev
float R = maxCD - minCD
float S = math.sqrt(sumSqDiff / length)
float RS = (S == 0) ? 0.0 : (R / S)
float hurst = (RS > 0) ? (math.log10(RS) / math.log10(length)) : 0.5
hurst
This design avoids simplistic proxies and attempts to reflect persistence (trend tendency) vs anti-persistence (mean reversion tendency) from the underlying return structure.
2) Hurst Smoothing
Raw Hurst values can be noisy, so the script applies EMA smoothing before regime decisions.
float rawHurst = calc_robust_hurst(i_hurstLen)
float hVal = ta.ema(rawHurst, i_smoothHurst)
This stabilized hVal is the value used across regime classification, dynamic visuals, and the HUD display.
3) Regime Classification
The smoothed Hurst reading is compared to user thresholds to label the environment.
string regime = "NEUTRAL"
if hVal > i_trendZone
regime := "TRENDING"
else if hVal < i_chopZone
regime := "MEAN REV"
Higher Hurst implies more persistence, so the indicator treats it as a trend environment.
Lower Hurst implies more mean-reverting behavior, so the indicator enables MR logic and emphasizes faster adaptation.
4) Dual Channel Models (Fast and Slow)
HOAC computes two candidate channel structures in parallel. Each model is a WMA basis with volatility envelopes derived from standard deviation. Inner and outer bands are created using different multipliers.
Fast model (more reactive):
float fastBasis = ta.wma(close, 20)
float fastDev = ta.stdev(close, 20)
ChannelObj fastM = ChannelObj.new(fastBasis, fastBasis + fastDev * 2.0, fastBasis - fastDev * 2.0, fastBasis + fastDev * 1.0, fastBasis - fastDev * 1.0, math.abs(close - fastBasis))
Slow model (more stable):
float slowBasis = ta.wma(close, 50)
float slowDev = ta.stdev(close, 50)
ChannelObj slowM = ChannelObj.new(slowBasis, slowBasis + slowDev * 2.5, slowBasis - slowDev * 2.5, slowBasis + slowDev * 1.25, slowBasis - slowDev * 1.25, math.abs(close - slowBasis))
Both models store their structure in a ChannelObj type, including the instantaneous tracking error (abs(close - basis)).
5) Rolling Error Memory and Model Preference
To decide which model fits current conditions better, the script stores recent errors into rolling arrays and compares cumulative error totals.
var float errFast = array.new_float()
var float errSlow = array.new_float()
update_error(float errArr, float error, int maxLen) =>
errArr.unshift(error)
if errArr.size() > maxLen
errArr.pop()
Each bar updates both error histories and computes which model has lower recent accumulated error.
update_error(errFast, fastM.error, i_optLookback)
update_error(errSlow, slowM.error, i_optLookback)
bool preferFast = errFast.sum() < errSlow.sum()
This is an interpretable optimization approach: it does not attempt to brute-force parameters, it simply prefers the model that has tracked price more closely over the last i_optLookback bars.
6) Winner Selection Logic (Regime-Aware Hybrid)
The final model selection uses both regime and rolling error performance.
ChannelObj winner = regime == "MEAN REV" ? fastM : (preferFast ? fastM : slowM)
rawMid := winner.mid
rawUp := winner.upper
rawDn := winner.lower
rawUpInner := winner.upper_inner
rawDnInner := winner.lower_inner
In Mean Reversion, the script forces the fast model to ensure responsiveness.
Otherwise, it selects the lowest-error model between fast and slow.
7) Optional Output Smoothing
After the winner is selected, the script optionally smooths the final channel outputs using the chosen moving average type.
smooth(float src, string type, int len) =>
switch type
"SMA" => ta.sma(src, len)
"EMA" => ta.ema(src, len)
"HMA" => ta.hma(src, len)
"RMA" => ta.rma(src, len)
=> src
float finalMid = i_enableSmooth ? smooth(rawMid, i_smoothType, i_smoothLen) : rawMid
float finalUp = i_enableSmooth ? smooth(rawUp, i_smoothType, i_smoothLen) : rawUp
float finalDn = i_enableSmooth ? smooth(rawDn, i_smoothType, i_smoothLen) : rawDn
float finalUpInner = i_enableSmooth ? smooth(rawUpInner, i_smoothType, i_smoothLen) : rawUpInner
float finalDnInner = i_enableSmooth ? smooth(rawDnInner, i_smoothType, i_smoothLen) : rawDnInner
This preserves decision integrity since smoothing happens after model selection, not before.
8) Dynamic Visual Intensity From Hurst
Transparency is derived from the distance of hVal to 0.5, so stronger behavioral regimes appear with clearer tints.
int dynTrans = int(math.max(20, math.min(80, 100 - (math.abs(hVal - 0.5) * 200))))
The Strat: 3-2D Setup Label + Entry, Target & AlertsThis is an indicator that identifies the 3-2D setup based on TheStrat & will alert you if you have this on the chart. Once the 3-2D setup happens this will give you the entry, target and price labels. You can change the font size, label colors and add optional alerts.
RAHUPrice Action Entry Signals is an intraday trading indicator designed for traders who want clear, uncluttered charts with high-probability entry signals.
The script combines multiple market-strength and trend-confirmation tools internally, while displaying only actionable buy signals and predefined targets on the price chart.Optimized for 5-minute timeframe
Clean chart – no indicator lines displayed
Generates directional buy signals only
Automatic three target levels (T1, T2, T3)
Suitable for index, stock, and intraday tradingEach valid entry automatically plots:
T1 – Short-range target
T2 – Medium-range target
T3 – Extended target
Targets are plotted relative to the entry price, helping traders manage exits objectively.
Who This Indicator Is For
Intraday traders
Options traders
Traders who prefer minimal visual clutter
Traders who use rule-based entriesBest Practices
Use with proper risk management
Avoid trading during low-liquidity periods
Combine with higher-timeframe market context
Always confirm with market conditionsDisclaimer
This indicator is a technical analysis tool only.
It does not guarantee profits and should not be considered financial advice.
All trading involves risk.
3 EMA IndicatorThis indicator is a combination og three EMA's
This indicator is a combination og three EMA's
This indicator is a combination og three EMA's
This indicator is a combination og three EMA's
This indicator is a combination og three EMA's
The Strat Candle Types (1 / 2U / 2D / 3)This script uses TheStrat candle numbers 1, 2D, 2U, 3 and places the text below or above. You can also change the text size. This also allows you to change the colors of the candles with two options for the 1 & 3 so you can color them in the direction they are going. For example a 1 that is green can be green and a 1 that is red can be red.
50SMA bounceScans stocks that closed above Weekly 10SMA and previous week closing below the weekly 10SMA
Multitime ATR with ATR Heat Line# Multi-Timeframe ATR Supertrend with ATH Finder
## Overview
This advanced Pine Script indicator combines multi-timeframe ATR-based Supertrend analysis with an All-Time High (ATH) tracking system. Designed for swing traders who need comprehensive trend analysis across multiple timeframes while monitoring key price levels.
## Key Features
### 1. Multi-Timeframe ATR Supertrend (1H, 4H, 1D)
- **1 Hour Supertrend** (Blue): Short-term trend identification
- **4 Hour Supertrend** (Purple): Medium-term trend confirmation
- **1 Day Supertrend** (Green/Red): Primary trend direction
- Each timeframe displays independent trend lines with customizable colors and visibility
### 2. Dual ATR Data System (1D Only)
- **Previous Day ATR** (lookahead_off): Used for main ATR lines - enables pre-market study and avoids intraday crossover issues
- **Current Day ATR** (lookahead_on): Used for Overheating Line calculation - provides real-time profit-taking signals
### 3. Overheating Line
- Dynamically calculated as: `1D ATR + (ATR Width × 1.3)`
- Orange line indicating potential overextension zones
- Uses current day real-time ATR for intraday decision-making
- Only displays during uptrends
- Customizable multiplier (default: 1.3)
### 4. ATH (All-Time High) Finder
- Automatically tracks and displays the all-time high with a horizontal line
- **Line Color**: Lime green (customizable)
- **Label System**:
- Green label when price is at ATH
- Red label when ATH is historical
- Toggle label visibility independently
- **Bug Fix**: Prevents vertical line display when ATH occurs on current bar
- Line extends to the right for easy visualization
### 5. Warning & Break Signals
Each timeframe provides two types of alerts:
- **Warning Signal** (⚠️): Price closes below uptrend line (potential reversal warning)
- **Break Signal** (⚡): Price closes above downtrend line (potential breakout)
- Smart timing intervals prevent signal spam:
- 1H: Checks every 4 hours (warning) / 1 hour (break)
- 4H/1D: Max 2 signals per day
### 6. Trend Change Indicators
- Small circles mark the exact bar where trend changes occur
- Color-coded for each timeframe
- Helps identify reversal points and trend strength
### 7. Master Control Switches
Efficiently manage all visual elements:
- **Master Highlighter**: Toggle all background fills on/off
- **Master Signals**: Toggle all warning/break signals
- **Master Up Trend**: Toggle all uptrend lines and circles
- **Master Down Trend**: Toggle all downtrend lines and circles
### 8. Fast Cut Lines (Optional)
- Additional support/resistance lines offset by a percentage from main ATR lines
- Useful for tighter stop-loss management
- Separate controls for up and down trends
- Default: OFF (customizable offset percentage)
### 9. Timeframe Visibility Control
- **Hide on Daily+**: Automatically hides indicators (except 1D ATR) on daily timeframes and above
- Reduces chart clutter on higher timeframes
- 1D ATR always visible regardless of chart timeframe
### 10. EMA Integration (Optional)
- Display 20/50/200 EMAs for confluence with ATR trends
- Toggle on/off independently
## Use Cases
### For Swing Traders
1. **Entry Timing**: Wait for multiple timeframe alignment (1H, 4H, 1D all in uptrend)
2. **Trend Confirmation**: Use trend change circles to identify momentum shifts
3. **Profit Taking**: Monitor Overheating Line for potential exit zones
### For Position Management
1. **Stop Loss Placement**: Use 1D ATR line or Fast Cut lines as dynamic stop levels
2. **Risk Assessment**: Distance between timeframe ATR lines indicates volatility
3. **Breakout Trading**: Break signals (⚡) identify potential breakout opportunities
### For Pre-Market Analysis
- 1D ATR uses previous day data, allowing traders to:
- Study support/resistance levels before market open
- Plan entry/exit strategies based on confirmed data
- Avoid false signals from incomplete daily candles
## Settings Guide
### ATH Finder Settings
- **Show ATH Line**: Toggle ATH line visibility
- **Show ATH Label**: Toggle ATH label display (can hide label while keeping line)
- **ATH Line Color**: Customize line color (default: lime)
- **ATH Line Width**: Adjust line thickness (1-5)
### Timeframe Settings (Each timeframe has independent controls)
- **ATR Period**: Lookback period for ATR calculation (default: 10)
- **ATR Multiplier**: Distance multiplier from price (default: 1.0)
- **Show Label**: Display " " / " " / " " text labels
- **Show Warning/Break Signals**: Toggle alert symbols
- **Highlighter**: Toggle background fill between price and ATR line
### Overheating Line Settings
- **Show Overheating Line**: Toggle visibility
- **Overheating Multiplier**: Adjust distance above 1D ATR (default: 1.3)
### Cut Lines Settings
- **Show Fast Cut Line (Up/Down)**: Toggle visibility
- **Fast Cut Offset %**: Percentage distance from ATR lines (default: 1.0%)
## Color Scheme
- **Current TF**: Green (up) / Red (down)
- **1H ATR**: Blue (#1848cc) / Dark Blue (#210ba2)
- **4H ATR**: Purple (#7b1fa2) / Dark Purple (#4e0f60)
- **1D ATR**: Green (#4caf50) / Dark Red (#8c101a)
- **Overheating Line**: Orange (#ff9800)
- **ATH Line**: Lime (customizable)
## Technical Notes
### ATR Calculation
- Uses True Range for volatility measurement
- Option to switch between SMA and EMA calculation methods
- Adapts to both volatile and stable market conditions
### Performance Optimization
- Maximum 500 lines and 500 labels to prevent memory issues
- Bar index limitations prevent historical data errors
- Efficient repainting prevention for 1D timeframe
### Alert System
Built-in alert conditions for:
- Buy/Sell signals (Current TF)
- Warning signals (all timeframes)
- Break signals (all timeframes)
## Best Practices
1. **Multiple Timeframe Confirmation**: Don't trade against higher timeframe trends
2. **Overheating Awareness**: Consider profit-taking when price reaches orange line
3. **ATH Monitoring**: Exercise caution near all-time highs (increased volatility risk)
4. **Signal Filtering**: Use warning signals as alerts, not immediate action triggers
5. **Stop Loss Management**: Place stops below the most relevant ATR line for your timeframe
## Version Information
- Pine Script Version: 5
- Indicator Type: Overlay
- Max Lines: 500
- Max Labels: 500
## Credits
Created by @yohei ogura with <3
Modified for Multi-Timeframe functionality with ATH tracking
Checklist Fred - Ultimate Pro V6.6
🇬🇧 ENGLISH VERSION (Complete Guide)
Fred’s Checklist - Ultimate Pro V6.2
1. The Philosophy: "Quality at a Fair Price"
This indicator is not a "miracle" signal generator. It is a multi-criteria scoring system that merges the three pillars of investing: Financial Health, Valuation, and Technical Timing.
The goal is simple: To select only exceptional companies that are "taking a breather" (moderate RSI) before a potential trend resumption.
2. How the 10 Criteria Work (The Score)
Each criterion is worth 1 point. A score of 8/10 or higher indicates a favorable statistical alignment.
I. Fundamental Pillar (Quality)
Revenue/EPS Growth: Proof that the company is gaining market share and generating increasing profits.
Net Margin: Filters for profitability. Companies that retain a significant portion of their revenue are more resilient.
ROE (Return on Equity): Measures management's efficiency at generating profits from shareholders’ equity.
Debt/Equity: Ensures the company is not over-leveraged relative to its own capital.
Free Cash Flow (FCF): The company must generate "hard cash" and not just accounting profits.
II. Valuation Pillar (Price)
P/E vs. Index: The script compares the stock's P/E ratio to its market average (S&P 500, NASDAQ, or TSX). This prevents "overpaying" for a stock relative to its peers.
III. Technical Pillar (Timing)
SMA 50 & 200: The price must be above these moving averages to confirm a healthy long-term uptrend.
RSI : This is the "Comfort Zone." We look for stocks that are neither overheating (RSI > 70) nor in a freefall (RSI < 30).
3. Customizable Settings (The Gear Icon)
The tool is fully customizable via the settings panel to suit different investor profiles:
Threshold Adjustments: Modify minimum Margins or ROE targets based on sector requirements.
RSI Zones: Expand or narrow the entry window (e.g., 40-60) depending on your risk tolerance.
Index Updates: Manually enter the current average P/E for the S&P 500, Nasdaq, and TSX. The script automatically detects the stock's origin.
4. Market Context Behavior
Market State Indicator Impact Pro Tip
Bull Market Many stocks will hit 8/10 or 9/10. Be highly selective; aim for 10/10 to avoid "bubble" valuations.
Bear Market Scores drop (often < 5/10). The indicator keeps you safely on the sidelines.
Sideways (Range) RSI becomes the key factor. Look for a return to the 35-55 zone paired with strong FCF.
5. How to Read the Results
10/10 (Green): Rare. Signals a total alignment of all stars.
7/10 to 9/10 (Orange/Green): Interest Zone. Identify the missing point (often a "N/A" data point or an RSI slightly out of range).
Below 7/10: Too many compromises. It is usually better to move on to the next ticker.
Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk of loss. Past performance is not indicative of future results. Always perform your own due diligence before making any investment decision.
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Global Sessions Pro NY/London/Tokyo - O/C/H/LGLOBAL SESSIONS PRO — NY / LONDON / TOKYO
Session Opens, Highs, Lows, Midpoints, Closes, Ranges & Killzones
OVERVIEW
Global Sessions Pro is a comprehensive session-mapping indicator designed for traders who rely on market structure, session context, and time-based behavior.
The indicator automatically plots New York, London, and Tokyo sessions, including:
• Session Open, High, Low, Midpoint, and Close
• Prior session levels projected forward
• Session range boxes
• Right-side labeled price levels (clearly identified)
• Stacked session summary labels (no overlap)
• Optional killzones and overlap windows
• Breakout alerts (prior or current session levels)
The script is fully timezone-aware, DST-safe, and works on any chart timeframe.
KEY FEATURES
SESSION MAPPING
For each session (NY / London / Tokyo), the indicator can display:
• Open
• High
• Low
• Midpoint (High + Low) / 2
• Close
Each level is drawn with its own horizontal line and optional right-side label, so there is never confusion about which line represents which level.
SESSION RANGE BOXES
Optional shaded boxes highlight the true session range as it develops in real time.
These are useful for visualizing:
• Compression vs expansion
• Relative session volatility
• Strength or weakness between sessions
Opacity and visibility are fully configurable.
RIGHT-SIDE LEVEL LABELS
Each session level can be labeled on the right edge of the chart, showing:
• Session name (NY / Lon / Tok)
• Level type (O / H / L / M / C)
• Optional price value
Examples:
NY H: 18234.25
Lon L: 18098.50
Tok M: 18142.75
This eliminates ambiguity when multiple session levels overlap or share similar colors.
SESSION SUMMARY LABELS (AUTO-STACKED)
At the top of each session range, an optional summary label displays:
• Session name
• Open / High / Low / Close
• Total range (points)
• Range in ticks
• ATR multiple
Summary labels are automatically stacked vertically using ATR-based or tick-based spacing, preventing overlap even when multiple sessions occur close together.
PRIOR SESSION LEVELS
The indicator can project prior session levels into the next session, including:
• Prior High and Low
• Optional prior Open, Close, and Midpoint
These levels are commonly used for:
• Support and resistance
• Liquidity sweeps
• Mean reversion
• Failed breakouts
Projection length is configurable and safely capped to comply with TradingView drawing limits.
KILLZONES AND SESSION OVERLAPS
Optional background shading highlights key institutional windows:
• London Open
• New York Open
• London / New York overlap
These zones help identify high-probability volatility windows and time-based trade filters.
All killzones respect the selected session timezone basis.
ALERTS
Built-in alerts are available for:
• Break of prior session high
• Break of prior session low
• Break of current session high
• Break of current session low
Alerts can be configured to trigger on wick or close.
Alert logic is written using precomputed crossover detection to ensure historical consistency and avoid missed or false alerts.
TIMEZONE AND SESSION HANDLING (IMPORTANT)
SESSION TIME BASIS OPTIONS
The indicator supports three session-time modes:
Market Local (DST-aware) – Recommended
• New York uses America/New_York
• London uses Europe/London
• Tokyo uses Asia/Tokyo
• Automatically adjusts for daylight saving time
UTC (Fixed)
• Sessions are interpreted strictly in UTC
• Best for crypto or non-DST workflows
• Requires manual adjustment during DST changes
Custom Timezone
• Define a single custom timezone for all sessions
This ensures sessions display correctly regardless of the chart’s timezone.
DEFAULT SESSION TIMES
(Default values assume Market Local (DST-aware) mode)
Tokyo: 09:00 – 15:00
London: 08:00 – 16:30
New York: 09:30 – 16:00
These defaults are optimized for cash and index trading.
FX traders may adjust session windows as needed.
BEST USE CASES
This indicator is particularly effective for:
• Index futures (ES, NQ, RTY, DAX, FTSE)
• Forex session-based strategies
• Time-based breakout systems
• Liquidity sweep and mean-reversion models
• London Open and New York Open trading
• Multi-session market context analysis
PERFORMANCE AND SAFETY NOTES
• All future-drawn objects are capped to comply with TradingView limits
• Crossover logic is evaluated every bar to prevent calculation drift
• Old session drawings are automatically culled to reduce chart clutter
• Works on all intraday and higher timeframes
RECOMMENDED SETTINGS
For most traders:
• Session Time Basis: Market Local (DST-aware)
• Show Open / High / Low / Midpoint: ON
• Prior Session Levels: ON
• Summary Labels: ON
• Killzones: ON
• Alerts: ON (Close-based)
FINAL NOTES
This indicator is designed to provide objective session structure without opinionated trade signals. It works best as a context layer combined with your own execution rules, confirmations, and risk management.
If you trade time, structure, and liquidity, this script provides the framework.
HoneG_MATSU_4GYAKUBARI_MAIN_v3This tool generates counter-trend signals recommended for 3- to 5-minute trades, though it is applied to 1-minute charts.
適用するのは１分チャートですが、取引は３分～５分推奨の逆張りサインツールです。
Gemini Smart SMA Pro + Wyckoff V2 (Enhanced Cloud)The Smart SMA Pro + Wyckoff V2 is an advanced trend-following and market-cycle indicator built for traders who utilize Wyckoff Theory and Volume Spread Analysis (VSA). It is specifically designed to identify the transition from "Cause" (Squeeze/Accumulation) to "Effect" (Expansion/Markup).
By analyzing the volatility spread between two customizable Moving Averages and validating movements with relative volume, this tool helps traders stay out of sideways markets and enter only when high-conviction momentum is present.
Key Features
Wyckoff Phase Detection: Automatically detects Squeeze (Accumulation/Distribution) and Expansion (Markup/Markdown) phases.
Intelligent Dynamic Cloud: The cloud between the MAs changes its transparency dynamically based on the Volume Ratio and trend slope. Darker colors indicate high-volume trend confirmation.
Dual-Layered SOS/SOW Signals: * SOS (Sign of Strength): A Yellow Dot appears on a bullish squeeze breakout. A Yellow Arrow is added only if the move is validated by High Relative Volume.
SOW (Sign of Weakness): An Orange Dot appears on a bearish breakout, with an Orange Arrow appearing only if supported by high volume.
Live Multi-Data Dashboard: A real-time table displaying the status of Fast/Slow MAs, the current market cycle stage, and the Volume Ratio.
Professional Alerts: Built-in alerts for Sign of Strength (SOS) and Sign of Weakness (SOW) breakouts.
How to Trade with it
Grey Cloud (Squeeze): Market is building a "Cause." Avoid trading and prepare for a breakout.
Yellow Dot + Arrow: This is a Confirmed SOS. It indicates institutional participation and a high probability of a new Markup phase.
Buy/Sell Labels: Standard trend entries based on price crossing the Signal Line (Fast MA). Use these to join an already established trend.
Dashboard Monitoring: Check the "Vol. Ratio" to see if the current move has enough strength to sustain the expansion.
How this Indicator was Created
This project is the result of a cutting-edge collaborative development process between a human trader and Gemini (Google’s AI).
Logic Synthesis: We combined traditional technical analysis with AI-optimized algorithms to calculate the Volatility Ratio, ensuring the "Squeeze" detection is more accurate than standard Bollinger-based tools.
Conditional Visuals: The logic was refined through multiple iterations to create a "Smart Visual" system. For instance, the Volume-Validated Arrow was an architectural decision to separate minor breakouts from high-conviction institutional moves.
Code Optimization: The entire script was written in Pine Script® V6, ensuring maximum performance, low latency on charts, and a clean, responsive Dashboard interface using advanced table objects.
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The Partnership: This indicator represents the perfect synergy between human market intuition and AI’s computational precision, resulting in a tool that is both mathematically sound and visually intuitive for professional use.
Info Box with VPINfo box with turnover
it has all the % of SL
it also has VOlume and turnover with it
It is lighter version of prov
SMC Confluence Suite [Pure Score Alerts]🚀 The Missing Link in SMC Trading: Timing & Confluence
Knowing "Where" to trade (Order Blocks/FVG) is only half the battle. Knowing "When" to pull the trigger is what separates amateurs from professionals.
The SMC Confluence Suite is a sophisticated Market Scoring Engine designed to validate your trade setups. It acts as a "Market Weather Station," analyzing Structure, Momentum, Extension, and Volatility in real-time to generate a single Confidence Score (0-100).
🧠 How It Works (The Logic)
This indicator processes 5 key dimensions to calculate a Long and Short Score:
Structure: Is the trend Bullish, Bearish, or in a Pullback?
Momentum: Analyzes RSI and divergence (Bull/Bear Div).
Extension (The Dux Logic): Detects if price is "Parabolic" (Overheated) or at a "Discount". It prevents FOMO buying at the top.
Rotation: Analyzes Volume Churn. Is the volume supporting the move, or is it stalling (distribution)?
Mood: A synthesis of market sentiment (Greed vs. Fear).
📊 The Dashboard
Long/Short Score:
> 80 (Aggressive 🚀): Market is priming for a strong move (Setup B / Unicorn).
60 - 80 (Standard ✅): Healthy trend, safe for Pullbacks (Setup C / Golden Swing).
< 40 (No Entry ⛔): Weak market or dangerous conditions.
Warning Flags:
PARABOLIC 🔥: Price moved too fast. Score resets to 0 to prevent chasing.
HIGH CHURN 🌪️: High volume but no price movement. Potential reversal.
✨ Key Features in V8.1
Score Trace (History): See historical scores printed directly on the chart (above/below candles). This allows you to backtest: "Did my winning trade have a high score?"
Asset Modes: optimized settings for Crypto, Stocks, and Metals (Gold/Silver).
Pure Alerts: Simplified alert system. Get notified only when Score > 80 (The "Sniper" moment).
💡 How to Trade (The Strategy)
Use this script alongside an SMC Structure indicator (like the SMC Strategy Companion).
Setup B (Breakout): Requires Score > 80 + High Volatility.
Setup C (Pullback): Requires Score > 60 + No "Parabolic" warning.
Kill Switch: If the Dashboard shows "PARABOLIC" or "CHURN", cancel all entries immediately.
QMF- Market Structure & Signal Suite [BullByte]QUANTUM MOMENTUM FUSION - Market Structure and Signal Suite
OVERVIEW
Quantum Momentum Fusion is a comprehensive market analysis framework built around a multi-dimensional momentum oscillator. This indicator was designed to give traders a complete analytical workspace in a single tool, combining momentum measurement, market structure identification, trendline analysis, divergence detection, and multi-timeframe context into one unified system.
The core philosophy behind QMF is that successful trading decisions come from understanding multiple aspects of market behavior simultaneously, not from relying on any single indicator or signal. The oscillator serves as the analytical foundation, and every other component builds upon it to create a complete picture of current market conditions.
This description will walk through each component of the indicator, explaining what it measures, why that information matters, and how to interpret what you see on the chart. Whether you are an experienced trader familiar with oscillator analysis or newer to technical indicators, each section aims to make the concepts accessible and practical.
THE QUANTUM ENGINE: UNDERSTANDING THE CORE OSCILLATOR (why its original and not a mashup)
At the heart of this indicator is the Quantum Momentum Fusion oscillator, displayed in its own pane below the price chart. Unlike traditional oscillators that measure a single aspect of price behavior, the QMF oscillator synthesizes four distinct market dimensions into one unified reading.
WHAT IS AN OSCILLATOR
For those less familiar with the term, an oscillator is a technical indicator that fluctuates between defined boundaries, typically showing whether an asset is experiencing strong buying pressure, strong selling pressure, or neutral conditions. The QMF oscillator moves between 0 and 100, with 50 representing the neutral midpoint.
When the oscillator is high (above 70), it suggests the market has experienced significant upward momentum and may be approaching exhaustion. When low (below 30), it suggests the market has experienced significant downward momentum and may be due for a bounce. The space between these extremes represents normal market fluctuation.
THE FOUR DIMENSIONS
What makes the QMF oscillator different from standard momentum indicators is that it combines four separate measurements into its calculation. Each dimension captures a different aspect of market behavior:
VELOCITY DIMENSION
This measures how quickly momentum itself is changing. Think of it like acceleration in a car. Knowing the car is moving forward (direction) is useful, but knowing whether the driver is pressing the accelerator or the brake (acceleration) tells you what is likely to happen next. The velocity dimension calculates the rate of change of the rate of change, providing early warning when momentum is about to shift direction. In practical terms, this can show momentum weakening before price actually reverses.
Why it matters: Price can continue in one direction for a while even after the underlying momentum starts to fade. By measuring acceleration, you can identify potential turning points earlier than with simple momentum indicators.
How it appears: This dimension is calculated internally and combined with the others. You do not see it separately, but its effect shows in the oscillator responding earlier to momentum shifts.
VOLUME DIMENSION
This measures price movement weighted by trading volume. A price move accompanied by high volume has different significance than the same price move on low volume. High volume suggests conviction and participation from larger traders. Low volume suggests the move may lack follow-through.
The volume dimension multiplies price change by a volume ratio (current volume compared to average volume), giving greater weight to moves that have volume confirmation behind them.
Why it matters: Volume often precedes price. Strong volume on a move suggests institutional participation and increases the probability that the move will continue. Weak volume on a move suggests it may be easily reversed.
How it appears: Moves with strong volume conviction will push the oscillator more definitively, while low-volume moves will have muted effect on the reading.
VOLATILITY DIMENSION
This normalizes price movement against the current volatility environment. Markets go through periods of high volatility (large price swings) and low volatility (small price swings). A 1% move during a low volatility period is more significant than a 1% move during a high volatility period.
The volatility dimension divides price change by Average True Range (ATR), which measures typical price range. This tells you whether current movement is significant relative to what is normal for this market right now.
Why it matters: Without volatility normalization, the oscillator would react the same way to all price moves regardless of context. By adjusting for volatility, the oscillator identifies moves that are genuinely significant versus normal noise within the current regime.
How it appears: During quiet markets, smaller price moves can still register as significant if they exceed normal volatility. During volatile markets, the oscillator will not overreact to moves that are within expected range.
SESSION DIMENSION
This tracks where price is positioned relative to the session Volume Weighted Average Price (VWAP). VWAP represents the average price at which trading has occurred during the session, weighted by volume. Institutional traders often use VWAP as a benchmark for fair value.
When price is consistently above VWAP, it suggests buyers are willing to pay above average prices, indicating accumulation. When price is consistently below VWAP, it suggests sellers are accepting below average prices, indicating distribution.
Why it matters: VWAP positioning provides insight into whether institutional traders are likely accumulating or distributing. Price repeatedly returning to and bouncing from VWAP can indicate support, while price repeatedly failing at VWAP can indicate resistance.
How it appears: The session dimension contributes bullish readings when price maintains above VWAP and bearish readings when price maintains below VWAP.
ADAPTIVE WEIGHTING
The four dimensions are combined using configurable weights, and the system can operate in Adaptive Mode. When Adaptive Mode is enabled, the indicator automatically adjusts its sensitivity based on the current volatility regime. During high volatility periods, sensitivity increases to capture larger moves. During low volatility periods, sensitivity decreases to filter out noise.
This means the oscillator adapts to changing market conditions without requiring manual adjustment.
READING THE OSCILLATOR: DISPLAY MODES AND ZONES
The QMF oscillator can be displayed in four different visual formats. Each shows the same underlying data but presents it differently based on trader preference.
ENERGY CANDLES
This mode displays the oscillator as candlestick-style candles. Just as price candles show open, high, low, and close for price, energy candles show these values for the QMF oscillator.
Green candles indicate the oscillator closed higher than it opened (bullish momentum). Red candles indicate the oscillator closed lower than it opened (bearish momentum). The body size shows how much the oscillator moved during the period. Larger bodies indicate stronger momentum conviction.
This format is useful for traders who are comfortable reading candlestick patterns and want to apply similar visual analysis to the oscillator.
QMF LINE
This mode displays the oscillator as a traditional line chart with a signal line overlay. The main QMF line shows current momentum. The signal line is a smoothed average of the QMF that helps identify direction changes.
When the QMF line is above the signal line, momentum is bullish. When below, momentum is bearish. Crossovers between the two lines can indicate momentum shifts.
This format is familiar to traders who use indicators like MACD and prefer clean line-based visualization.
IMPULSE BARS
This mode displays the oscillator as a histogram centered on the 50 midline. Bars above 50 indicate bullish momentum, bars below 50 indicate bearish momentum. Bar height shows momentum strength.
The color intensity changes based on momentum direction. Bars that are increasing in the bullish direction show brighter color. Bars that are decreasing show muted color. This makes it easy to see momentum acceleration and deceleration at a glance.
HEIKIN FLOW
This mode applies Heikin-Ashi smoothing to the energy candles. Heikin-Ashi is a Japanese technique that averages price data to create smoother trends with fewer reversals.
The result is cleaner visual trends that are easier to follow, though with slightly more lag than standard energy candles. This format is useful for identifying sustained momentum moves without getting distracted by minor fluctuations.
OSCILLATOR ZONES
Regardless of display mode, the oscillator pane includes horizontal reference lines that define important zones:
Midline at 50: The neutral point. When the oscillator is above 50, overall momentum is bullish. When below 50, overall momentum is bearish.
Overbought level at 70: When the oscillator crosses above this level, the market is showing strong bullish momentum. However, this also means prices have risen significantly and bearish reversal probability increases the longer the oscillator stays elevated.
Oversold level at 30: When the oscillator crosses below this level, the market is showing strong bearish momentum. However, this also means prices have fallen significantly and bullish reversal probability increases.
Extreme overbought at 85: Maximum bullish exhaustion. At this level, almost all short-term buying pressure has been expended. Reversal probability is high.
Extreme oversold at 15: Maximum bearish exhaustion. At this level, almost all short-term selling pressure has been expended. Reversal probability is high.
Understanding these zones helps you assess the current market condition before looking at any other indicator components.
MARKET STRUCTURE: DYNAMIC SUPPORT AND RESISTANCE
The second major component of the indicator is market structure analysis through dynamic support and resistance levels. Unlike price-based support and resistance, these levels are calculated directly on the oscillator.
WHAT ARE OSCILLATOR-BASED S/R LEVELS
When the QMF oscillator reaches a high point and then reverses lower, that high point becomes a resistance level on the oscillator. When the oscillator reaches a low point and then reverses higher, that low point becomes a support level.
These levels represent momentum thresholds that the market has previously found difficult to exceed. They answer the question: At what momentum reading has the oscillator historically reversed?
WHY THIS MATTERS
Oscillator support and resistance provides different information than price support and resistance. Price S/R tells you where buyers and sellers have previously entered the market. Oscillator S/R tells you what level of momentum the market has been able to sustain.
If the oscillator approaches its resistance level, it suggests momentum is reaching the upper bounds of what has been achievable recently. Either momentum will break through (indicating unusually strong conditions) or it will reverse (indicating normal mean reversion).
Similarly, if the oscillator approaches support, it suggests momentum is reaching exhaustion levels that have previously triggered bounces.
HOW IT APPEARS ON THE CHART
Resistance is displayed as a horizontal red line with a RES label on the oscillator pane. Support is displayed as a horizontal cyan line with a SUP label. These lines update dynamically as new pivots form.
When the oscillator breaks through these levels, markers appear:
R with up arrow: Resistance level broken, indicating unusually strong bullish momentum
S with down arrow: Support level broken, indicating unusually strong bearish momentum
R with checkmark: Resistance held, price rejected at this level
S with checkmark: Support held, price bounced from this level
The dashboard also shows current S/R status: whether the oscillator recently broke resistance, broke support, is currently at resistance, is currently at support, or is in clear space between levels.
AUTOMATED TRENDLINES: MOMENTUM TREND STRUCTURE
The third major component is automated trendline detection on the oscillator. This identifies trending behavior in momentum itself, separate from price trends.
WHAT ARE OSCILLATOR TRENDLINES
Just as you can draw trendlines on a price chart connecting swing lows (uptrend) or swing highs (downtrend), the indicator draws trendlines on the oscillator connecting pivot points.
Support trendlines connect oscillator pivot lows and project forward with a flat or rising slope. These show upward trending momentum where each pullback finds support at a higher level.
Resistance trendlines connect oscillator pivot highs and project forward with a flat or falling slope. These show downward trending momentum where each rally faces resistance at a lower level.
WHY THIS MATTERS
Price trends and momentum trends do not always align. Price can continue making higher highs while momentum makes lower highs, a condition called bearish divergence. Momentum trendlines help visualize this behavior.
When momentum is making higher lows (rising support trendline), it suggests underlying strength even if price is consolidating. When momentum is making lower highs (falling resistance trendline), it suggests underlying weakness even if price is holding.
Breaks of these trendlines often precede price moves. If a falling momentum resistance trendline breaks upward, it suggests bearish pressure is releasing and bullish momentum may follow. If a rising momentum support trendline breaks downward, it suggests bullish pressure is failing and bearish momentum may follow.
HOW IT APPEARS ON THE CHART
Support trendlines appear in blue/cyan, resistance trendlines appear in pink/magenta. Lines extend forward from the most recent pivot point to show projected levels.
Small circle markers can optionally appear at each pivot point used to construct the trendlines, helping you verify the anchor points.
When the oscillator breaks through a trendline, markers appear:
TL with up arrow: Resistance trendline broken upward (bullish breakout)
TL with down arrow: Support trendline broken downward (bearish breakdown)
Trendline strength is calculated based on three factors: how many pivot points validate the line, how recently it formed, and the angle of the slope. Stronger trendlines have more touches, formed recently, and have moderate slopes. You can filter trendlines by strength to show only the most significant ones.
Optional trendline zones can display a shaded area around each trendline rather than just a single line, showing a zone of influence rather than a precise level.
DIVERGENCE: WHEN PRICE AND MOMENTUM DISAGREE
The fourth major component is divergence detection, which identifies discrepancies between price action and oscillator behavior.
WHAT IS DIVERGENCE
Divergence occurs when price makes a new high or low, but the oscillator fails to confirm it. This disagreement between price and momentum often precedes reversals.
There are four types of divergence:
REGULAR BULLISH DIVERGENCE
Price makes a lower low (new low point below the previous low), but the oscillator makes a higher low (its low point is above its previous low). This suggests that despite price going lower, selling momentum is actually weakening. The implication is that sellers are losing conviction and a bounce or reversal may be approaching.
Visual example: Imagine price drops from 100 to 95, bounces to 97, then drops again to 93. At the same time, the oscillator drops to 25, bounces to 35, then drops only to 30. Price made a lower low (93 vs 95) but the oscillator made a higher low (30 vs 25). This is regular bullish divergence.
REGULAR BEARISH DIVERGENCE
Price makes a higher high (new high point above the previous high), but the oscillator makes a lower high (its high point is below its previous high). This suggests that despite price going higher, buying momentum is actually weakening. The implication is that buyers are losing conviction and a pullback or reversal may be approaching.
HIDDEN BULLISH DIVERGENCE
Price makes a higher low (its low point is above its previous low), but the oscillator makes a lower low (new low below its previous low). This occurs during uptrends and suggests the trend will continue. Price is holding higher but momentum briefly dipped further, indicating a temporary pullback within a larger uptrend.
HIDDEN BEARISH DIVERGENCE
Price makes a lower high (its high point is below its previous high), but the oscillator makes a higher high (new high above its previous high). This occurs during downtrends and suggests the trend will continue. Price is staying lower but momentum briefly spiked higher, indicating a temporary bounce within a larger downtrend.
Regular divergence suggests reversal. Hidden divergence suggests continuation.
HOW IT APPEARS ON THE CHART
When divergence is confirmed, labels appear on the oscillator:
BULL DIV: Regular bullish divergence confirmed
BEAR DIV: Regular bearish divergence confirmed
H-BULL: Hidden bullish divergence confirmed
H-BEAR: Hidden bearish divergence confirmed
Dotted lines connect the pivot points on the oscillator to show the divergence pattern. Regular divergence uses solid colored lines, hidden divergence uses dashed lines.
The dashboard shows divergence status in real-time:
CHECKING BULL: A potential bullish divergence pattern is forming but not yet confirmed
CHECKING BEAR: A potential bearish divergence pattern is forming but not yet confirmed
BULL CONFIRMED: Bullish divergence has been validated
BEAR CONFIRMED: Bearish divergence has been validated
NONE: No divergence currently active
Divergence strength is calculated from the magnitude of the oscillator discrepancy. Only divergences meeting the minimum strength threshold are displayed to filter out minor, less significant patterns.
FLOW RIBBONS: VISUALIZING MOMENTUM ALIGNMENT
The fifth major component is the Flow Ribbon system, which displays multiple moving averages of the QMF oscillator to visualize momentum trend and alignment.
WHAT ARE FLOW RIBBONS
Flow ribbons consist of three Exponential Moving Averages (EMAs) applied to the QMF oscillator values. Think of them as smoothed versions of the oscillator at different speeds:
Fast Ribbon : Responds quickly to momentum changes, showing recent momentum direction
Medium Ribbon: Balances responsiveness with smoothness, showing intermediate momentum
Slow Ribbon: Moves slowly and shows longer-term momentum context
When these three lines are plotted together with filled area between them, they create a visual ribbon that expands and contracts based on momentum conditions.
WHY RIBBON ALIGNMENT MATTERS
The relationship between these three averages tells you about momentum structure:
BULLISH ALIGNMENT (Fast above Medium above Slow)
When the ribbons are stacked with fast on top, medium in middle, and slow on bottom, momentum is aligned bullishly across multiple timeframes. Short-term momentum leads, with medium and long-term momentum confirming. This is the strongest bullish configuration.
BEARISH ALIGNMENT (Fast below Medium below Slow)
When the ribbons are inverted with fast on bottom, medium in middle, and slow on top, momentum is aligned bearishly across multiple timeframes. Short-term momentum leads downward, with medium and long-term momentum confirming. This is the strongest bearish configuration.
MIXED/TRANSITIONING
When the ribbons are not properly stacked, momentum is in transition. This often occurs during consolidation, trend changes, or choppy conditions. Trading during mixed ribbon states carries higher uncertainty.
RIBBON EXPANSION AND CONTRACTION
Beyond alignment, the distance between the fast and slow ribbon provides additional information:
EXPANDING RIBBON
When the gap between fast and slow ribbon is increasing, momentum is accelerating. In a bullish alignment with expansion, upward momentum is strengthening. In a bearish alignment with expansion, downward momentum is strengthening. Expansion confirms trend conviction.
CONTRACTING RIBBON
When the gap between fast and slow ribbon is decreasing, momentum is decelerating. The current trend may be losing steam. Contraction often precedes consolidation or reversal. It serves as an early warning that the current move may be exhausting.
HOW IT APPEARS ON THE CHART
The fast ribbon appears as a thicker line, the slow ribbon as a thinner line. The area between them fills with color:
Green fill: Bullish ribbon alignment
Red fill: Bearish ribbon alignment
Gray fill: Neutral or transitioning state
The dashboard shows ribbon state as BULL, BEAR, or NEUT, and indicates whether ribbons are expanding (EXP) or contracting (CON).
Ribbon crossovers occur when the fast ribbon crosses the slow ribbon, signaling potential momentum shifts. These crossovers are confirmed only after the bar closes to prevent false signals from intrabar movement.
REVERSAL CLOUDS: PROBABILITY ZONES
The sixth major component is the Reversal Cloud system, which visualizes zones where momentum reversals have elevated probability.
WHAT ARE REVERSAL CLOUDS
Reversal clouds are shaded areas around the QMF oscillator that indicate probability zones for mean reversion. They answer the question: How far from average has momentum extended, and what is the probability it will revert?
When the oscillator moves far from its normal range, it creates stretched conditions. Like a rubber band pulled to its limit, the probability increases that it will snap back toward center. Reversal clouds visualize these stretched conditions.
CLOUD CALCULATION METHODS
Five different calculation methods are available, each with different characteristics:
DYNAMIC BOLLINGER
Uses statistical standard deviation to create bands that adapt to oscillator volatility. When the oscillator is volatile, bands widen. When the oscillator is calm, bands narrow. This method identifies moves that are statistically significant relative to recent oscillator behavior.
GOLDEN RATIO
Applies Fibonacci proportions (0.214 and 0.786) to the oscillator range. These ratios appear throughout nature and markets. Some traders believe these proportions have psychological significance in market behavior.
ADAPTIVE HALO
Scales cloud width based on price ATR rather than oscillator volatility. This connects cloud width to actual price volatility, making the clouds wider during volatile price action and narrower during calm periods.
VOLATILITY SQUEEZE
Uses short-term standard deviation to create bands that contract during low volatility and expand during high volatility. This method is particularly useful for identifying potential breakout conditions when volatility is compressed.
ICHIMOKU RSI
Applies concepts from Ichimoku Kinko Hyo equilibrium theory to create balanced zones. Uses multiple lookback periods to establish equilibrium levels where the oscillator tends to find balance.
HOW TO READ THE CLOUDS
The oscillator moves through the cloud area as momentum fluctuates:
When QMF enters the upper cloud region, it indicates extended bullish momentum. The higher into the cloud, the greater the probability of bearish reversal through mean reversion.
When QMF enters the lower cloud region, it indicates extended bearish momentum. The deeper into the cloud, the greater the probability of bullish reversal through mean reversion.
Cloud opacity adjusts based on reversal probability. More opaque coloring indicates higher reversal probability. Subtle coloring indicates lower reversal probability.
IMPORTANT UNDERSTANDING
Clouds show probability zones, not certainty. Price can remain in extreme zones longer than expected, particularly during strong trends. Clouds are most useful when combined with other components like divergence, S/R breaks, and ribbon alignment rather than used in isolation.
MULTI-TIMEFRAME ANALYSIS: SEEING THE BIGGER PICTURE
The seventh major component is Multi-Timeframe (MTF) analysis, which calculates QMF values across multiple timeframes to assess momentum alignment at different time perspectives.
WHY MULTIPLE TIMEFRAMES MATTER
The timeframe you trade on shows only one perspective of market momentum. A bullish signal on a 15-minute chart may occur within a larger bearish trend on the 4-hour chart. Understanding momentum context from higher timeframes helps you assess whether you are trading with or against the larger flow.
When multiple timeframes align in the same direction, the probability of a successful trade increases. When timeframes conflict, the situation is more uncertain and requires additional caution.
HOW MTF ANALYSIS WORKS
The indicator calculates the full QMF oscillator independently on four configurable timeframes. By default, these are set to 5-minute, 15-minute, 60-minute (1 hour), and 240-minute (4 hour), but you can configure them to any timeframes that suit your trading style.
For each timeframe, the system determines the current momentum bias:
OB - Overbought: QMF above 70, indicating extended bullish momentum that may reverse
B+ - Strong Bullish: QMF above 55 and above its signal line, indicating solid bullish momentum
B - Bullish: QMF above its signal line, indicating mild bullish momentum
N - Neutral: QMF near 50 with no clear direction
S - Bearish: QMF below its signal line, indicating mild bearish momentum
S+ - Strong Bearish: QMF below 45 and below its signal line, indicating solid bearish momentum
OS - Oversold: QMF below 30, indicating extended bearish momentum that may reverse
ALIGNMENT SCORING
The dashboard displays an alignment score showing how many of the four timeframes agree with each directional bias. This appears as a fraction like 3/4 or 2/4.
4/4 Bullish: All four timeframes show bullish readings - maximum bullish alignment
3/4 Bullish: Three timeframes bullish, one diverging - strong bullish alignment
2/4: Split between bullish and bearish - no clear alignment, use caution
3/4 Bearish: Three timeframes bearish, one diverging - strong bearish alignment
4/4 Bearish: All four timeframes show bearish readings - maximum bearish alignment
Higher alignment scores indicate more reliable momentum context. Trading with 3/4 or 4/4 alignment in your favor provides better odds than trading against alignment or during mixed conditions.
NON-REPAINTING MTF DATA
The multi-timeframe data uses proper request.security settings with lookahead disabled and gaps handled correctly. This ensures the MTF readings you see in backtesting match what you would see in real-time trading, with no future data leakage that could create misleading results.
LIVE MOMENTUM SCORING: REAL-TIME MARKET ASSESSMENT
The eighth major component is the Live Momentum Scoring system, which provides continuous real-time feedback on current market conditions.
WHAT IS LIVE MOMENTUM SCORING
Unlike signals which only appear when specific patterns complete, live momentum scores update every bar to show the current balance between bullish and bearish factors. This answers the question: Right now, how do the bullish factors compare to the bearish factors?
The system evaluates six categories for each direction and adds up points:
ZONE POSITION (0-25 points)
Rewards positioning in favorable oscillator zones. Deep oversold positioning adds points to the bullish score. Deep overbought positioning adds points to the bearish score. Extreme zones receive maximum points, moderate zones receive partial points, neutral zones receive zero.
DIVERGENCE (0-20 points)
Rewards active or forming divergence patterns. Confirmed divergence receives full points. Forming (checking) divergence receives partial credit. No divergence receives zero points.
TREND ALIGNMENT (0-20 points)
Rewards proper EMA stacking and trend MA positioning. Full bullish EMA stack (fast above medium above slow above trend MA) receives maximum bullish points. Partial alignment receives partial points.
MOMENTUM DIRECTION (0-15 points)
Rewards current momentum direction and acceleration. Accelerating momentum in the favorable direction receives maximum points. Simple directional momentum receives moderate points. Histogram turning (early reversal signs) receives partial points.
RIBBON STATE (0-10 points)
Rewards proper ribbon alignment and expansion. Aligned and expanding ribbons receive maximum points. Aligned but contracting ribbons receive moderate points. Mixed ribbons receive zero points.
MULTI-TIMEFRAME (0-10 points)
Rewards higher timeframe alignment. 4/4 alignment receives maximum points, scaling down as alignment decreases.
READING THE LIVE SCORES
The dashboard displays current scores for both directions:
BULL: Shows bullish score as percentage (0-100) and letter grade (A through D)
BEAR: Shows bearish score as percentage (0-100) and letter grade (A through D)
BIAS: Shows which direction currently dominates (BULL, BEAR, or NEUTRAL if close)
Grade thresholds:
A Grade: 70% or higher - Strong momentum factors aligned
B Grade: 50-69% - Moderate momentum factors present
C Grade: 30-49% - Some momentum factors but incomplete
D Grade: Below 30% - Weak or missing momentum factors
The dominant bias shows which direction currently has stronger factors. When one side leads by more than 10 points, it shows that direction. Otherwise, it shows NEUTRAL indicating balanced or mixed conditions.
WHY LIVE SCORING MATTERS
Live scores help you understand current market conditions even when no signal has fired. You can see momentum building or fading in real-time. A rising bullish score suggests conditions are improving for potential long opportunities. A rising bearish score suggests conditions are deteriorating.
This continuous feedback helps with:
- Anticipating potential signals before they fire
- Assessing whether to act on signals that do fire
- Understanding why a signal did or did not appear
- Monitoring open positions for changing conditions
THE DASHBOARD: YOUR ANALYSIS CONTROL CENTER
The dashboard provides a comprehensive real-time summary of all indicator components in one organized table. It displays on the price chart using force overlay so it remains visible regardless of which pane you are focused on.
DASHBOARD LAYOUT
The dashboard can be configured in three detail levels:
COMPACT MODE
Shows only essential information: QMF value, zone status, S/R status, and volume. Uses minimal screen space for traders who want the indicator to remain unobtrusive.
STANDARD MODE
Shows balanced detail including QMF values, zone status, last signal information, grade statistics, divergence status, S/R and volume status, live momentum scores, and MTF panel. Suitable for most traders.
FULL MODE
Shows maximum detail including everything in Standard mode plus EMA structure, ribbon state, volatility regime, signal statistics breakdown, and trendline counts. For traders who want complete information access.
DASHBOARD ROWS EXPLAINED
Row 1 - HEADER
Shows indicator name for identification.
Row 2 - QMF VALUES
Displays three values:
- QMF with directional arrow showing current oscillator value and whether it is rising, falling, or unchanged
- SIG showing the signal line value
- Histogram value with plus or minus sign showing the difference between QMF and signal line
Row 3 - PROGRESS BAR
Visual representation of oscillator position from 0 to 100 using text characters. Provides quick visual reference without needing to look at the oscillator pane.
Row 4 - ZONE STATUS
Text classification of current zone with color coding:
- EXTREME OB (red): Oscillator at or above extreme overbought level
- OVERBOUGHT (light red): Oscillator in overbought zone
- BULLISH (light green): Oscillator above 55 but below overbought
- NEUTRAL (gray): Oscillator between 45 and 55
- BEARISH (light red): Oscillator below 45 but above oversold
- OVERSOLD (light blue): Oscillator in oversold zone
- EXTREME OS (blue): Oscillator at or below extreme oversold level
Row 5 - LAST SIGNAL (Standard and Full mode)
Shows information about the most recent signal:
- Direction and grade (LONG A, SHORT B, etc.)
- Bars ago since signal fired
- Entry price when signal fired
- Current profit/loss from that price level
This helps track performance of recent signals and manage any open positions based on them.
Row 6 - GRADE STATISTICS (Standard and Full mode)
Running count of signals generated:
- A: Count of Grade A signals
- B: Count of Grade B signals
- C: Count of Grade C signals
- T: Total signal count
This provides perspective on signal frequency and grade distribution over the visible chart period.
Row 7 - DIVERGENCE STATUS (Standard and Full mode)
Current state of divergence detection:
- CHECKING BULL: Bullish divergence pattern forming, not yet confirmed
- CHECKING BEAR: Bearish divergence pattern forming, not yet confirmed
- BULL CONFIRMED: Bullish divergence validated
- BEAR CONFIRMED: Bearish divergence validated
- NONE: No divergence currently active
Row 8 - S/R AND VOLUME
Two pieces of information:
- S/R status: Shows R BROKEN (resistance broken upward), S BROKEN (support broken downward), AT RES (testing resistance), AT SUP (testing support), or CLEAR (between levels)
- Volume status: Shows HIGH (volume 1.5x or more above average), MID (volume near average), or LOW (volume below average)
Row 9 - LIVE MOMENTUM (Standard and Full mode)
Real-time momentum scoring:
- BULL: Bullish percentage and letter grade
- BEAR: Bearish percentage and letter grade
- Dominant bias indicator
Row 10-11 - MTF PANEL (when enabled, Standard and Full mode)
Multi-timeframe status:
- Top row shows the four timeframe labels
- Bottom row shows the status code for each timeframe (OB, B+, B, N, S, S+, OS)
- Final cell shows alignment score as X/4
FULL MODE ADDITIONAL ROWS
Structure row: Shows EMA stack status (BULL STACK, BEAR STACK, or relationship between fast and slow) and trend MA position (ABOVE MA or BELOW MA)
Stats row: Shows count of long signals, short signals, and active trendlines
Ribbon row: Shows ribbon state (BULL, BEAR, NEUT), expansion status (EXP or CON), and volatility regime (H-VOL for high volatility, L-VOL for low volatility, N-VOL for normal)
DASHBOARD POSITIONING AND SIZING
Position options: Top Left, Top Center, Top Right, Middle Left, Middle Right, Bottom Left, Bottom Center, Bottom Right
Size options: Tiny (minimal space), Small (balanced), Normal (maximum readability)
Choose a position that does not obscure important price action on your chart and a size that balances readability with space efficiency.
HOW SIGNALS EMERGE FROM CONFLUENCE
After understanding all the individual components, it becomes clear how signals are generated. Signals in QMF are not arbitrary triggers based on single conditions. They emerge when multiple independent factors align to create confluence.
THE PATTERN-BASED APPROACH
The signal system uses a hierarchical pattern-based approach. Rather than calculating a score from random factors and labeling it, the system actively hunts for specific predefined pattern combinations.
The system first checks for Grade A patterns. If none are found, it checks for Grade B patterns. If none are found, it checks for Grade C patterns. Each grade represents specific combinations of factors that must be present together.
GRADE A REQUIREMENTS
Grade A patterns require multiple strong factors aligned. Examples of Grade A pattern combinations:
Pattern A1 - Perfect Storm Reversal:
- Extreme zone positioning (deeply oversold or overbought)
- Confirmed regular divergence
- Structural break (resistance broken or support broken or trendline broken)
- Strong volume conviction (1.3x or higher)
- High MTF alignment (3 or more timeframes agreeing)
Pattern A2 - Breakout Conviction:
- Resistance or support broken
- Accelerating momentum in the breakout direction
- Full EMA stack aligned
- Ribbon aligned and expanding
- Strong volume conviction (1.4x or higher)
- Good MTF alignment (2 or more timeframes)
Pattern A3 - Zone Reversal Multi-Confirmation:
- Extreme or standard zone positioning
- Regular or hidden divergence confirmed
- Active bounce from zone
- EMA crossover or MA break in reversal direction
- Good MTF alignment (2 or more timeframes)
- Volume conviction present (1.2x or higher)
All factors in the pattern must be present simultaneously. Missing any single factor disqualifies the Grade A pattern.
GRADE B REQUIREMENTS
Grade B patterns require fewer but still meaningful confirmations. These patterns fire only when no Grade A pattern is detected:
Pattern B1 - Zone with Confirmation:
- Oversold or overbought zone positioning
- Momentum in reversal direction
- Hidden divergence, EMA crossover, or trendline break present
- Minimum MTF alignment met
Pattern B2 - Divergence with Structure:
- Regular or hidden divergence confirmed
- Structural break (S/R or trendline or MA)
- Momentum confirming direction
- Volume at least average
Pattern B3 - Clean Trend Continuation:
- Above or below trend MA
- Ribbon aligned in direction
- Oscillator crossed signal line
- EMA stack complete
GRADE C REQUIREMENTS
Grade C patterns require basic confirmations. These patterns fire only when no Grade A or Grade B pattern is detected:
Pattern C1 - Early Zone Entry:
- Zone positioning or approaching zone
- Momentum in expected direction
- Oscillator or EMA crossover present
Pattern C2 - Momentum Shift:
- Histogram turning in expected direction
- Oscillator crossover confirmed
- Oscillator on expected side of midline
SIGNAL QUALITY CONTROLS
Beyond pattern detection, several quality controls must be satisfied:
COOLDOWN
A minimum number of bars must pass between any two signals. This prevents signal clustering during volatile conditions and ensures each signal represents a distinct opportunity.
DIRECTION ALTERNATION
When enabled, signals must alternate between LONG and SHORT. After a LONG signal, only SHORT signals can fire until direction changes. This prevents multiple consecutive signals in the same direction.
PULLBACK REQUIREMENT
After a signal fires, the oscillator must retrace a minimum percentage before another same-direction signal can fire. This ensures re-entry signals occur after meaningful pullbacks rather than immediately after the first signal.
VOLUME CONFIRMATION (Optional)
When enabled, volume must meet minimum threshold relative to average. This filters out signals during low-volume periods when moves may lack follow-through.
BAR CONFIRMATION
All signals require barstate.isconfirmed, meaning they only fire after the bar closes. This prevents signals from appearing and disappearing during live bar formation, ensuring backtest results match live behavior.
A comprehensive example that combines signal generation logic, grading system, with all elements clearly annotated for easy understanding.
SETTINGS REFERENCE
This section provides a reference for the main configurable settings organized by category.
QUANTUM ENGINE SETTINGS
Sensitivity (5-50): Primary lookback period for momentum calculations. Lower values respond faster but may include more noise. Higher values smooth the oscillator but increase lag. Default 14 balances responsiveness with stability.
Smoothing (1-10): Exponential smoothing applied to final QMF value. Higher values reduce noise, lower values preserve detail. Default 3 provides good noise reduction.
Adaptive Mode: When enabled, automatically adjusts sensitivity based on volatility regime. Increases sensitivity during high volatility, decreases during low volatility.
Dimension Toggles: Enable or disable each of the four dimensions (Velocity, Volume, Volatility, Session) individually. Useful for customizing the oscillator for specific instruments or conditions.
Dimension Weights: Adjust relative contribution of each dimension. Weights are normalized so they do not need to sum to 1.0. Higher weight means that dimension has more influence on the final value.
Signal Length: EMA period for the signal line. Lower values make signal line more responsive, higher values make it smoother.
DISPLAY SETTINGS
Display Mode: Choose between Energy Candles, QMF Line, Impulse Bars, or Heikin Flow visualization.
Candle Glow: Adds luminous glow effect around energy candles based on momentum strength. Visually striking but can impact performance on slower systems.
Glow Layers: Number of glow layers when candle glow is enabled. More layers create smoother gradient but use more resources.
VISUAL SETTINGS
Theme: Choose between Tokyo Night (dark blue with vibrant accents), Dracula (purple-grey with high contrast), or Nord (muted arctic tones). Each theme is designed for extended trading sessions.
Glow Intensity: Controls transparency of glow effects. Lower values create more visible glows, higher values more subtle.
Enable Glow Effects: Master toggle for all glow effects around candles and levels.
REVERSAL CLOUD SETTINGS
Enable Reversal Clouds: Toggle cloud display on or off.
Cloud Style: Choose calculation method (Dynamic Bollinger, Golden Ratio, Adaptive Halo, Volatility Squeeze, Ichimoku RSI).
Cloud Transparency: Higher values make clouds more transparent, lower values more visible.
Cloud Width: Multiplier for cloud width. Higher values create wider reversal zones.
FLOW RIBBON SETTINGS
Enable Ribbons: Toggle ribbon display.
Fast/Medium/Slow Ribbon: Period for each ribbon EMA. Faster periods respond quicker, slower periods show longer-term trend.
DIVERGENCE SETTINGS
Enable Divergence: Toggle divergence detection.
Pivot Sensitivity: Bars required on each side to confirm pivot point. Higher values detect more significant pivots but may miss shorter-term divergences.
Confirmation Bars: Bars to wait after pivot detection before confirming divergence.
Min Strength Pct: Minimum divergence strength percentage to display. Higher values filter out weaker divergences.
Show Lines: Draw connecting lines between divergence pivots.
Min/Max Distance: Range of bars between pivots for valid divergence.
SIGNAL SYSTEM SETTINGS
Enable Signals: Toggle signal generation.
Show Signals: Filter by grade (A Only, A and B, All Grades).
Cooldown Bars: Minimum bars between signals.
Pullback Required Pct: Percentage pullback needed before same-direction signal.
Require Direction Alternation: Force signals to alternate LONG and SHORT.
Fast/Slow EMA: Periods for EMA crossover analysis.
Trend MA: Period for trend-defining moving average.
Min MTF Alignment: Minimum timeframes that must align for higher grades.
Require Volume Confirmation: Make volume threshold mandatory for signals.
Min Volume Ratio: Minimum volume relative to average when required.
TRENDLINE SETTINGS
Enable Trendlines: Toggle automated trendline detection.
Pivot Left/Right: Bars for pivot detection.
Extension Bars: How far to extend lines into future.
Min Touch Points: Minimum pivots to validate line.
Enable Strength Filter: Filter by calculated strength.
Minimum Strength: Threshold for strength filter.
Show Trendline Zones: Display shaded zones around lines.
Zone Width StdDev: Standard deviation multiplier for zone width.
Line Style: Solid, Dashed, or Dotted.
Line Width: Thickness in pixels.
Show Touch Points: Display circle markers at pivots.
Show Strength Labels: Display strength percentage at line end.
SUPPORT RESISTANCE SETTINGS
Enable S/R: Toggle dynamic S/R display.
Pivot Lookback: Period for detecting S/R pivots.
DASHBOARD SETTINGS
Enable Dashboard: Toggle dashboard display.
Position: Screen position (8 options).
Size: Tiny, Small, or Normal.
Style: Compact, Standard, or Full detail level.
MTF Panel: Include or exclude multi-timeframe panel.
MTF 1-4: Timeframe selections for MTF analysis.
LEVEL SETTINGS
Overbought/Oversold: Standard zone thresholds.
Extreme OB/OS: Extreme zone thresholds.
PRACTICAL EXAMPLE: READING THE COMPLETE PICTURE
This example walks through analyzing a chart using all the indicator components together.
SCENARIO: You are analyzing a 15-minute chart looking for trading opportunities.
STEP 1: ASSESS OSCILLATOR ZONE
You look at the QMF oscillator and see it reading 24, which is in the oversold zone. The dashboard confirms this showing OVERSOLD in the zone status. The progress bar shows the oscillator is in the lower portion of its range.
Initial assessment: The market has experienced significant selling pressure and is in territory where bullish reversals have elevated probability.
STEP 2: CHECK STRUCTURE
You look at the dynamic S/R levels. The oscillator recently touched its support level at 22 and bounced. You see an S with checkmark marker indicating support held. The dashboard shows AT SUP status.
Assessment update: The oscillator found support at a level that has held before. This adds to the bullish case.
STEP 3: EXAMINE TRENDLINES
You notice a resistance trendline connecting recent oscillator highs that has been declining. The oscillator is currently approaching this trendline from below. No break has occurred yet.
Assessment update: There is overhead resistance that will need to be cleared. A break above would be significant.
STEP 4: CHECK DIVERGENCE
The dashboard shows BULL CONFIRMED in the divergence status. Looking at the oscillator, you see a BULL DIV label with a dotted line connecting two pivot lows. The oscillator made a higher low while price made a lower low.
Assessment update: Confirmed bullish divergence suggests selling momentum is weakening despite price continuing lower. This is a meaningful signal of potential reversal.
STEP 5: EVALUATE RIBBONS
The ribbons are currently mixed with fast below medium but both above slow. Ribbon fill is gray indicating transitioning state. However, you notice the fast ribbon is turning upward and approaching the medium ribbon from below.
Assessment update: Ribbons are not yet aligned bullish, but appear to be transitioning. A bullish crossover may be approaching.
STEP 6: CHECK MTF ALIGNMENT
The dashboard MTF panel shows: 5m is B+, 15m is B, 1H is N, 4H is S. The alignment shows 2/4 bullish.
Assessment update: Lower timeframes support bullish bias, but higher timeframes are neutral or bearish. This is mixed alignment, suggesting caution. Any bullish move may face resistance from higher timeframe sellers.
STEP 7: REVIEW LIVE MOMENTUM SCORES
Dashboard shows BULL at 52% Grade B, BEAR at 28% Grade D. Dominant bias shows BULL.
Assessment update: Bullish factors currently outweigh bearish factors. The score suggests moderate bullish conditions, not yet strong.
STEP 8: SYNTHESIS
Putting it together:
- Oversold zone positioning (bullish factor)
- Support held (bullish factor)
- Bullish divergence confirmed (strong bullish factor)
- Ribbons transitioning but not yet aligned (neutral)
- MTF alignment mixed at 2/4 (caution factor)
- Live score favors bullish moderately (supporting factor)
- Resistance trendline overhead (risk factor)
Conclusion: Conditions favor a bullish reversal but with caution warranted due to mixed MTF alignment and overhead resistance. This would not qualify for a Grade A signal due to insufficient MTF alignment. If a signal fires, it would likely be Grade B.
STEP 9: SIGNAL FIRES
Several bars later, the oscillator crosses above its signal line while still in oversold territory. The EMA fast crosses above EMA slow. A LONG B signal appears at 85% confluence.
The signal represents: Oversold positioning plus confirmed divergence plus momentum crossover, meeting Grade B pattern requirements.
STEP 10: MONITORING
After entry, you monitor the dashboard for changing conditions. Live momentum scores continue rising. The resistance trendline breaks (TL up arrow marker appears). Ribbons align bullish. MTF alignment improves to 3/4 as the 1H turns bullish.
The improving conditions confirm the trade thesis. You hold the position as conditions strengthen.
ALERTS AVAILABLE
28 alert conditions are available covering all major events. To set up alerts, click the alert icon in TradingView, select this indicator, and choose the desired condition.
SIGNAL ALERTS
- A-Grade LONG Signal: Highest probability bullish entry
- A-Grade SHORT Signal : Highest probability bearish entry
- B-Grade LONG Signal: Solid bullish entry
- B-Grade SHORT Signal: Solid bearish entry
- Any LONG Signal: Any bullish signal regardless of grade
- Any SHORT Signal: Any bearish signal regardless of grade
DIVERGENCE ALERTS
- Regular Bullish Divergence: Classic bullish reversal pattern
- Regular Bearish Divergence: Classic bearish reversal pattern
- Hidden Bullish Divergence: Bullish continuation pattern
- Hidden Bearish Divergence: Bearish continuation pattern
- Any Bullish Divergence: Either regular or hidden bullish
- Any Bearish Divergence: Either regular or hidden bearish
STRUCTURE ALERTS
- Trendline Break Up : Resistance trendline broken
- Trendline Break Down: Support trendline broken
- Resistance Broken: S/R resistance level broken
- Support Broken: S/R support level broken
CROSSOVER ALERTS
- EMA Cross Up : Fast EMA crossed above slow EMA
- EMA Cross Down : Fast EMA crossed below slow EMA
- Trend MA Break Up: Oscillator crossed above trend MA
- Trend MA Break Down: Oscillator crossed below trend MA
ZONE ALERTS
- Entered Overbought Zone: Oscillator entered overbought
- Entered Oversold Zone: Oscillator entered oversold
- Entered Extreme Overbought: Oscillator reached extreme overbought
- Entered Extreme Oversold: Oscillator reached extreme oversold
RIBBON ALERTS
- Ribbon Cross Up: Fast ribbon crossed above slow ribbon
- Ribbon Cross Down: Fast ribbon crossed below slow ribbon
BOUNCE ALERTS
- Bounce From Oversold: Active reversal from oversold zone
- Bounce From Overbought : Active reversal from overbought zone
NON-REPAINTING Structure
All visual elements and signals in this indicator are non-repainting:
- Signals use barstate.isconfirmed to fire only after bar close
- Divergence confirmation waits for pivot validation
- Trendline breaks confirm after bar close
- S/R breaks confirm after bar close
- MTF data uses lookahead off setting
- No future data is used in any calculation
What you see in backtesting accurately represents what would have appeared in real-time trading.
RISK DISCLAIMER
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading advice.
Trading financial instruments involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. The analysis provided by this indicator should not be relied upon as the sole basis for any trading decision.
Before trading:
- Understand you may lose some or all of your investment
- Never trade with money you cannot afford to lose
- Conduct your own research and due diligence
- Consider consulting with a qualified financial advisor
- Practice with paper trading before risking real capital
- Implement proper risk management with recommended maximum 1-2% risk per trade
By using this indicator, you acknowledge that you have read and understood this disclaimer and accept full responsibility for your trading decisions.
PowerWave Oscillator Suite [BOSWaves]PowerWave Oscillator Suite - Multi-Dimensional Momentum & Trend Oscillator with Adaptive Divergence Insight
Overview
PowerWave Oscillator Suite is a cutting-edge analytical toolkit designed to provide traders with a sophisticated understanding of momentum, trend strength, and divergence behavior in financial markets. Unlike conventional oscillators that rely solely on price-based calculations, PowerWave combines adaptive, multi-dimensional computation engines with advanced visualization tools and divergence detection systems. The suite offers a unique blend of trend-following, mean-reversion, and contrarian trading insights, allowing users to analyze markets from multiple angles simultaneously. Each module within the suite has been designed to offer precision, clarity, and adaptability, ensuring that traders of all levels - from novice to professional - can extract actionable intelligence without unnecessary chart clutter or signal ambiguity.
PowerWave Oscillator Suite focuses on three primary trading paradigms: momentum measurement, volume-based filtering, and smoothed trend oscillation. These paradigms are accessible via three core modules - Aroon Oscillator, Adaptive Volume Filter, and HyperSmooth Oscillator - each equipped with advanced smoothing, dynamic source selection, reduced-lag computation, and divergence detection, offering a comprehensive approach to market analysis. By leveraging the full capabilities of this toolkit, traders can identify market turning points, confirm trend strength, detect hidden divergences, and refine entries and exits, all within a single integrated framework.
Configuration Panel and Customization Options
At the heart of PowerWave is a robust configuration panel that allows users to tailor the suite to their individual trading preferences and market conditions. The first level of customization is the Module Selection, allowing users to toggle between the Aroon Oscillator, Adaptive Volume Filter, or HyperSmooth Oscillator. Each module is designed with a distinct analytical purpose:
Aroon Oscillator : Measures trend strength and provides early signals for trend reversals or continuation.
Adaptive Volume Filter : Uses volume-based filtering to highlight momentum shifts, smoothing out noise from price fluctuations.
HyperSmooth Oscillator : Delivers finely smoothed oscillations, designed to capture micro-trend shifts and acceleration patterns.
Users can enhance the responsiveness and filtering behavior of each module via the Enhancement Level setting, a numeric input that applies a series of multi-stage exponential smoothing layers, ensuring signals are robust against market noise without introducing excessive lag. Additionally, the Source Type option allows traders to determine the price input methodology - ranging from adaptive combinations of open, high, low, and close values to more traditional sources - granting flexibility to align the indicator with preferred strategies or asset characteristics.
Engineered Visual Intelligence and Module-Specific Color Systems
PowerWave employs purpose-built, module-specific color systems that are tightly integrated with each oscillator’s underlying computation model. Rather than treating color as a cosmetic layer, the suite uses color as an informational channel, encoding state, momentum bias, and structural context directly into the visual output.
Each module operates with a dedicated color logic aligned to its analytical role:
The Aroon Oscillator uses polarity-driven gradients to express time-based trend dominance and directional strength.
The Adaptive Volume Filter applies contrasting color states to distinguish expanding versus contracting volume pressure.
The HyperSmooth Oscillator utilizes a dynamic HSV-based color spectrum that continuously maps momentum acceleration and deceleration into the oscillator line itself.
These color systems are reinforced through coordinated visual elements, including bar coloring, background state highlighting, histogram fills, and cross-condition shading. Users can further tune visual intensity and emphasis through enhanced mode and opacity controls, allowing the same engineered color logic to be amplified or subdued depending on chart density and personal workflow.
By designing color behavior as an extension of the calculation engine - rather than an arbitrary styling choice - PowerWave ensures that visual cues remain consistent, data-driven, and immediately interpretable across assets, timeframes, and market regimes.
Dynamic Source and Zero-Lag Computation
A defining characteristic of PowerWave Oscillator Suite is its Dynamic Source Calculation engine, which adjusts the input price series according to the trader’s chosen source type and enhancement level. This system ensures that signals are computed from a refined, noise-filtered base, enhancing reliability across asset classes and timeframes. Each stage of the multi-level smoothing hierarchy incrementally reduces erratic price fluctuations while preserving meaningful structural movement, allowing traders to differentiate between minor price noise and genuine momentum shifts.
Complementing this is the Adaptive Reduced-Lag Filter, a highly specialized algorithm that minimizes lag inherent in traditional moving averages or oscillators. This filter uses a gain-optimized EMA structure that continuously self-adjusts based on recent price dynamics, providing traders with fast yet reliable signals. By incorporating zero-lag calculations, PowerWave ensures that trend reversals and momentum inflections are detected in near real-time, allowing for earlier entries, faster confirmations, and more accurate exits. The reduced-lag filter also dynamically adjusts its internal gain coefficients, minimizing error while accounting for varying market volatility.
Aroon Oscillator Module
The Aroon Oscillator module within PowerWave is designed to quantify trend strength and identify emerging directional shifts. Utilizing a dual-period calculation, the module compares the relative timing of recent highs and lows, producing a normalized oscillation that reflects the market’s current momentum. Advanced zero-lag filtering ensures that even minor reversals or trend accelerations are captured with minimal delay, while additional smoothing can be applied via the configuration panel to match the trader’s preferred sensitivity.
The module includes trend and mean-reversion signal detection:
Trend Signals : Generated when the oscillator crosses the zero line, indicating potential trend continuation or initiation.
Reversion Signals : Triggered by crossovers between the oscillator and its internal signal line, highlighting potential pullbacks or temporary counter-trend behavior.
Visual overlays, including bar coloring and gradient plots, highlight bullish and bearish momentum zones, making it immediately apparent whether the market is in a trending or consolidating state. By combining trend and reversion insights with divergence detection, traders gain a multi-layered understanding of market structure, allowing for well-timed entries and exits.
Use Case:
Use the Aroon Oscillator when your primary objective is identifying real trend shifts early and staying aligned with structure. This model excels in markets transitioning from consolidation into expansion, where timing matters more than micro-entries. Zero-line crosses define directional regime changes, while signal-line crossovers expose mean-reversion pullbacks within a dominant trend. Divergences here are high-quality because Aroon measures time-based strength, not just price movement - making this ideal for swing traders and intraday trend followers who want confirmation before committing size.
Adaptive Volume Filter Module
The Adaptive Volume Filter takes a fundamentally different approach, analyzing volume-driven market behavior. By transforming price inputs with volume-weighted calculations and applying an adaptive multi-stage smoothing engine, this module emphasizes genuine buying and selling pressure while suppressing noise caused by small, indecisive bars.
Key features include:
Dynamic Thresholding : Traders can set threshold levels to define oversold or overbought regions based on relative volume patterns.
Multi-tiered Signal Generation : Local trend signals identify moderate momentum shifts, while oversold/overbought conditions trigger stronger trade opportunities.
Volume-Cycle Adaptation : The filter adapts to cyclical volume patterns, ensuring that signals remain valid during periods of high or low market participation.
This module is particularly effective for spotting institutional accumulation/distribution, validating trends, and detecting early inflection points where price action alone might be misleading.
Use Case:
Select the Adaptive Volume Filter when you want to validate price movement with participation, not guess momentum in a vacuum. This oscillator shines during breakouts, distribution phases, and deceptive price moves where volume tells the real story. Overbought and oversold zones highlight statistically stretched volume conditions, while the adaptive smoothing engine filters short-term noise caused by small, indecisive bars. This is the model you use to confirm whether a move is being supported or starved - making it lethal for spotting exhaustion, fake breakouts, and accumulation/distribution zones.
HyperSmooth Oscillator Module
The HyperSmooth Oscillator represents the most sophisticated module in the suite, combining adaptive smoothing, dual-cycle EMA differentiation, and volatility-normalized scaling. It calculates momentum by comparing fast and slow EMA cycles of a dynamically smoothed price series and then normalizes this difference using ATR-based volatility adjustments. This ensures that the oscillator is sensitive to micro-momentum changes while remaining robust against extreme volatility spikes.
Additional innovations in this module include:
Hyper-smoothing and acceleration detection : Captures micro-trend shifts and identifies momentum acceleration or deceleration, providing early insight into potential trend reversals.
Dynamic color mapping : Uses HSV-based gradient calculations to indicate the intensity and direction of momentum, enhancing immediate visual interpretation.
Threshold-based cross-validation : Ensures that only meaningful crossovers are flagged as buy or sell signals, reducing false positives in noisy markets.
Combined, these mechanisms give traders access to both subtle and strong market moves, allowing nuanced position sizing and timing strategies.
Use Case:
Use HyperSmooth when you need speed, sensitivity, and volatility-aware momentum detection. This model is built for fast markets, aggressive entries, and momentum continuation plays where standard oscillators lag. By normalizing momentum with ATR and dynamically adjusting signal thresholds, HyperSmooth filters weak crosses and only reacts when momentum actually matters. Color-shifted acceleration highlights when force is increasing or decaying, making this the go-to mode for scalpers and momentum traders hunting explosive continuation or sharp reversals with minimal delay.
Enhanced Divergence Detection System
PowerWave includes a robust divergence detection engine, capable of identifying regular and hidden bullish and bearish divergences across all modules. Divergences are detected by analyzing oscillator pivots against corresponding price highs and lows, ensuring that traders can spot structural weaknesses or strengths in trend continuation.
Key enhancements include:
Pivot-based analysis with lookback control : Allows customization of sensitivity to short-term vs. long-term divergences.
Priority system : Regular divergences are highlighted first, while hidden divergences are only displayed if no regular divergence is present, reducing chart clutter.
Visual representation : Divergences are drawn on both the oscillator and price chart using solid or dashed lines with opacity gradients, enabling clear interpretation of potential reversal zones.
This system equips traders to anticipate trend exhaustion points, early reversals, and high-probability pullbacks, a critical advantage in both trending and range-bound markets.
Visualization and Chart Interpretation
Every module in PowerWave is accompanied by enhanced visual aids, including histogram fills, line overlays, bar coloring, and shape-based trade markers. These features provide instant clarity on:
Trend direction : Bullish vs. bearish zones are highlighted via gradient fills and bar color overlays.
Signal strength : Minor, regular, and strong trade setups are distinguished using shape markers (triangles, circles, diamonds).
Momentum confirmation : Histogram fills indicate whether the oscillator is accelerating or decelerating relative to its signal line.
By integrating these visualizations, PowerWave transforms complex calculations into immediately actionable chart insights, enabling both manual and automated strategies to be executed with confidence.
General Use Cases and Trading Applications
Trend-following : Combine oscillator zero-line crossovers with divergence confirmation for disciplined entries.
Counter-trend trading : Utilize hidden divergence signals to identify potential reversal points before visible trend exhaustion.
Volume-sensitive trades : Adaptive Volume Filter highlights accumulation/distribution phases, providing context for institutional participation.
Scalping and swing strategies : HyperSmooth Oscillator captures micro-momentum changes, ideal for both short-term scalping and multi-day swing trades.
The suite is designed for flexibility and adaptability, allowing traders to integrate multiple modules, fine-tune parameters, and create customized signals aligned with personal strategies or specific market conditions.
Final Notes
PowerWave Oscillator Suite is designed as an analytical decision-support system. It provides structured market insight based on historical price and volume behavior and does not constitute predictive or outcome-guaranteed functionality. Its core design philosophy emphasizes clarity, adaptability, and risk-aware decision-making. Every calculation, filter, and visual cue is intended to provide insight, not guarantees. Traders are encouraged to combine the suite’s outputs with proper risk management, contextual market awareness, and disciplined strategy execution.
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are responsible for their own analysis, risk management, and execution decisions.
NCAT Supply & Demand Zones (BoS + Retest Fade)NCAT for TradingView draws Supply and Demand zones based on a simple Break of Structure (BoS) approach using pivot highs/lows.
When a bullish BoS occurs, it searches back for the most recent qualifying bearish “base candle” and creates a Demand zone.
When a bearish BoS occurs, it searches back for the most recent qualifying bullish “base candle” and creates a Supply zone.
Core logic
Structure (BoS): detected when price closes beyond the last pivot high/low.
Base candle selection: searches back a configurable number of bars and requires a minimum candle body size.
Zone source: draw zone from Wick (high/low) or Open (open + wick boundary depending on zone type).
Zone behavior: zones extend to the right, can fade on retests, and optionally delete when broken by a close beyond the distal line.
Inputs
Session filter (optional): only create new zones during a user-defined session/timezone.
Pivot length: controls pivot detection sensitivity.
Search back / Min body points: controls base candle qualification.
Extend / Max zones / Fade controls: manage performance and chart clutter.
Midline: optional 50% level visualization.
Notes
This is an educational tool and does not predict market direction.
Different symbols have different “point” conventions; adjust “Min body size (points)” accordingly.
Created by: Fernando Fortini
Squeeze Momentum + MACD Balancedcombines Squeeze Momentum and MACD, scaling the MACD to visually match the Squeeze Momentum histogram. I went through your code and it looks mostly correct, but I can give you a few notes and potential improvements to make it cleaner and more robust:
