ATR Support LineOverview
ATR Support Line is a higher-timeframe-aware overlay that builds a single dynamic support line by anchoring a smoothed price baseline and offsetting it with an Average True Range (ATR) multiple. It is designed to track constructive trends while adapting to current volatility. The tool can render using higher-timeframe (HTF) data with optional closed-bar confirmation to avoid repainting, or live interpolation for more responsive visuals.
Core logic (concepts, not implementation)
• Compute an anchor from price using a selectable moving-average family (SMA / EMA / ZLEMA).
• Measure volatility using ATR and apply a configurable multiplier.
• Form the support line by offsetting the anchor downward by the ATR multiple.
• Timeframe handling: either use the chart timeframe or request an explicit HTF for calculation.
• Rendering modes:
– Closed-bar mode : interpolate inside the previous HTF bar for non-repainting behavior.
– Live mode : interpolate inside the current HTF bar for more timely responsiveness (can visually “breathe” intrabar).
Inputs
• Anchor smoothing: MA type (SMA / EMA / ZLEMA) and anchor length.
• Volatility: ATR length and multiplier.
• Timeframe: optional calculation timeframe (HTF) distinct from the chart timeframe.
• Confirmation: toggle to use closed HTF values (non-repainting) vs. live interpolation.
How to read it
• Price holding above the ATR Support Line indicates constructive conditions; orderly pullbacks toward the line can be normal trend behavior.
• Persistent closes above the line indicate strength; reactions into the line often resolve higher in constructive regimes.
• Persistent closes below the line warn of deterioration; consider reducing risk until price reclaims the level.
• On HTF rendering with closed-bar confirmation, use closes on that HTF for signal confirmation.
• In live mode, treat intrabar pierces as potential noise until confirmed by the close.
Practical use cases
• Trend context: define a trailing “line in the sand” for long-bias frameworks.
• Risk framing: size down or tighten exposure when price loses the support line.
• Confluence: combine with structure (HH/HL vs. LH/LL), volume, or market-wide risk gauges.
• Multi-TF workflow: calculate on HTF for bias, execute on lower TFs for entries/exits.
Best practices
• Align confirmations with the timeframe used for calculation (especially in closed-bar mode).
• Pair with clear invalidation rules (e.g., daily/weekly closes below the line).
• Start with conservative multipliers on noisier assets; adjust ATR length/multiplier to match instrument volatility.
Technical notes
• Non-repainting option : closed-bar HTF mode finalizes values on HTF close; lower-TF plotting uses interpolation only for continuity (no look-ahead).
• Live option : interpolates within the current HTF bar for responsiveness; expect intrabar breathing.
• Works on any time-based chart; results are most interpretable on liquid instruments.
Who it is for
• Traders who want a single, disciplined, volatility-adjusted support line with HTF awareness.
• Systematic users who prefer clear, reproducible rules for trend context and risk boundaries.
Limitations & disclosures
• Closed-source; for educational and analytical use only.
• Not financial advice. Markets involve risk; past performance does not guarantee future results.
Release notes
• Added selectable anchor MA (SMA / EMA / ZLEMA) and explicit HTF calculation with two rendering modes (closed-bar non-repainting vs. live).
• Interpolation refined for smooth visuals while respecting HTF closes in confirmation mode.
Originality & why closed-source
This is not a reimplementation of public open-source scripts. The integration of anchor smoothing choices, volatility offset, HTF calculation, and dual rendering modes (closed-bar non-repainting vs. live interpolation) is designed to maintain trend fidelity with practical control over responsiveness. The interaction of these components is proprietary and the source is closed to protect the implementation.
Integration, not a mashup
ATR Support Line is a single, self-contained framework. It does not merely merge indicators; its components are purpose-built to produce one coherent, volatility-aware, single-line support with a clear reading protocol (hold above = constructive; loss = caution).
Indicator, not a strategy
This publication is an indicator overlay, not a trading strategy. It includes no backtests, position logic, performance claims, or risk assumptions. Use it as analytical context within your own risk management.
Comparison to common tools
Compared to static moving-average baselines or classic volatility bands, ATR Support Line emphasizes (1) a single actionable support level, (2) explicit volatility adjustment via ATR, and (3) HTF-aware rendering with an optional non-repainting confirmation mode.
ความผันผวน
Adaptive CE-VWAP Breakout Framework [KedArc Quant]Description
A structured framework that unites three complementary systems into one charting engine:
Chandelier Exit (CE) – ATR-based trailing logic that defines trend direction, stop placement, and risk/reward overlays.
Swing-Anchored VWAP (SWAV) – a dynamically anchored VWAP that re-starts from each confirmed swing and adapts its smoothness to volatility.
Pivot S/R with Volume Breaks – confirmed horizontal levels with alerts when broken on expanding volume.
This script builds a single workflow for bias → trigger → managementwithout mixing unrelated indicators. Each module is internally linked rather than layered cosmetically, making it a true analytical framework—not.
Acknowledgment
Special thanks to Dynamic Swing Anchored VWAP by Zeiierman, whose swing-anchoring concept inspired a part of the SWAV module’s implementation and adaptation logic.
Support and Resistance Levels with Breaks by LuxAlgo for S/R breakout logic.
How this helps traders
Trend clarity – CE color-codes direction and provides evolving stops.
Context value – SWAV traces adaptive mean paths so traders see where price is heavy or light.
Action filter – Pivot+volume logic highlights true structural breaks, filtering false moves.
Discipline tool – Optional R:R boxes visualize risk and target zones to enforce planning.
Entry / Exit guidelines (for study purposes only)
Bias Use CE direction: green = long bias red = short bias
Entry
1. Breakout method– Trade in CE direction when a pivot level breaks on valid volume.
2. VWAP confirmation– Prefer breaks occurring around the nearest SWAV path (fair-value cross or re-test).
Exit
Stop = CE line / recent swing HL / ATR × (multiplier)
Target = R-multiple × risk (default 2 R)
Optional live update keeps SL/TP aligned with current CE state.
Core formula concepts
ATR Stop: Stop = High/Low – ATR × multiplier
VWAP calc: Σ(price × vol) / Σ(vol) anchored at swing pivot, adapted by APT (Adaptive Price Tracking) ratio ∝ ATR volatility.
Volume oscillator: 100 × (EMA₅ – EMA₁₀)/EMA₁₀; valid break when threshold %.
Input configuration (high-level)
Master Controls
Show CE / SWAV modules Theme & Fill opacity
CE Section
ATR period & multiplier Use Close for extremums
Show buy/sell labels Await bar confirmation
Risk-Reward overlay: R-multiple, Stop basis (CE/Swing/ATR×), Live update toggle
SWAV Section
Swing period Adaptive Price Tracking length Volatility bias (ATR-based adaptation) Line width
Pivot & Volume Breaks
Left/Right bar windows Volume threshold % Show Break labels and alerts
Best timeframes
Intraday: 5 m – 30 m for breakout confirmation
Swing: 1 h – 4 h for trend context
Settings scale with instrument volatility—adjust ATR period and volume threshold to match liquidity.
Glossary
ATR: Average True Range (volatility metric)
CE: Chandelier Exit (trailing stop/trend filter)
SWAV: Swing-Anchored VWAP (anchored mean price path)
Pivot H/L: Confirmed local extrema using left/right bar windows
R-multiple: Profit target as a multiple of initial risk
FAQ
Q: Does it repaint? A: No—pivots wait for confirmation and VWAP updates forward-only.
Q: Can modules be disabled? A: Yes—each section has its own toggle.
Q: Can it trade automatically? A: This is an indicator/study, not an auto-strategy.
Q: Is this financial advice? A: No—educational use only.
Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always apply sound risk management.
Doctor Analytics – EMERSON >🜂 Doctor Analytics – EMERSON >
“Where probability replaces emotion.”
Doctor Analytics – EMERSON > isn’t a tool — it’s a behavioral correction system for traders who refuse to gamble.
Built on the Kulture Metrics / Emerson Moss framework, it combines the raw aggression of momentum with the cold precision of mathematical expectancy.
This isn’t signal-hunting; it’s surgical probability alignment.
Inside every calculation beats the Path-Integral Engine — Linetsky-inspired stochastic modeling that measures the expected payoff of all recent price paths, weighted by volatility and discounted through time. It watches volatility breathe, measures it, and only moves when mathematics agrees with momentum.
The Kulture Metrics Dashboard transforms trading discipline into data:
Tracks your live balance, dynamic risk %, and target %.
Computes exact dollar risk and payoff values in real time.
Enforces drawdown protection with an automatic Loss Halt Flag after two consecutive hits.
Embeds compliance awareness through a Trust Bank audit watermark.
While others chase trends, EMERSON > calculates the probability of continuation.
Each signal passes through layered verification — trend integrity, volatility gate, and path-integral confirmation — filtering out emotional noise until only certainty remains.
Benefits that dominate the screen:
⚙️ Real-time equity evolution and risk-to-reward feedback.
⚙️ Path-integral logic that aligns with professional option-pricing models.
⚙️ Adaptive volatility gating for ultra-clean confirmations.
⚙️ Visual dashboard — no spreadsheets, no hesitation, no excuses.
Doctor Analytics – EMERSON > is more than an indicator; it’s a trading philosophy encoded in Pine v6.
For those who understand that discipline and mathematics are the last forms of rebellion.
Kulture Metrics | EMERSON — When logic meets inevitability.
ROC & Momentum FusionROC & Momentum Fusion
(by HabibiTrades ©)
Purpose:
“ROC & Momentum Fusion” combines the Rate of Change (ROC) with a MACD-style signal engine to identify early momentum reversals, confirmed trend shifts, and low-volatility choppy zones.
It’s built for traders who want early momentum detection with the clarity of trend persistence — adaptable to any instrument and timeframe.
⚙️ How It Works
Rate of Change (ROC):
Measures the percentage speed of price change over time, showing the raw momentum strength.
Signal Line (EMA):
A short EMA of the ROC — responds faster to new directional shifts, similar to a MACD signal line.
Histogram:
Displays acceleration and deceleration between the ROC and its signal line.
Persistent Trend States:
When the ROC crosses the signal line or zero, the indicator enters a new momentum regime
(bullish or bearish) and stays in that color until another flip occurs.
Dynamic Choppy Zone:
When ROC momentum fades within the zero buffer zone, the indicator turns orange, signaling a sideways or indecisive market.
🟢 Visual Regimes
Regime Description Color
Bullish Momentum ROC above zero or signal line 🟢 Neon Green
Bearish Momentum ROC below zero or signal line 🔴 Neon Red
Choppy / Neutral ROC hovering within ±threshold range 🟠 Neon Orange
This color system makes it visually effortless to see whether the market is trending, reversing, or consolidating.
🧭 Adaptive Intelligence
The script automatically adjusts to market type and session for consistent accuracy:
Session Adaptive: Adjusts smoothing based on global sessions (Asian, London, New York, Sydney).
Instrument Adaptive: Fine-tunes sensitivity automatically for major assets — NASDAQ (NQ), S&P 500 (ES), Gold (GC), Oil (CL), Bitcoin (BTC).
Volatility Normalization: Optionally divides ROC by its own standard deviation to stabilize noisy assets and maintain consistent scaling.
🔔 Signals & Alerts
Bullish Reversal:
ROC crosses above its signal or zero line — early momentum flip.
Bearish Reversal:
ROC crosses below its signal or zero line — downward momentum flip.
Alerts:
Both reversal conditions include built-in alert triggers for automation and notifications.
🎨 Visual Features
Main ROC Line: Adaptive EMA of ROC, color-coded by trend regime.
Signal Line: Optional white EMA overlay for MACD-style crossovers.
Histogram: Visual burst display of acceleration (green/red).
Reversal Markers: Optional triangles marking exact crossover points.
Threshold Lines: Highlight the zero and buffer zones for visual clarity.
🧩 Best Use Cases
Identify early momentum shifts before price confirms them.
Confirm trend continuation or exhaustion with color persistence.
Detect choppy / low-volatility periods instantly.
Works across all timeframes — from 1-minute scalping to weekly swings.
Combine with structure, EMAs, or volume for confirmation.
⚙️ Recommended Settings
Setting Default Description
ROC Period 6 Core momentum length (lower = faster response).
Signal EMA Length 3 MACD-style responsiveness (lower = more reactive).
Zero Buffer Threshold 0.15 Defines the width of the neutral zone around zero.
Choppy Zone Multiplier 1.0 Expands or tightens the orange zone sensitivity.
These defaults have been optimized through real-market testing to balance responsiveness and smoothness across different asset classes.
⚠️ Notes
The color regime is persistent, meaning once the line turns bullish or bearish, it remains in that state until momentum structurally flips.
The orange zone represents momentum uncertainty and helps avoid false entries in range-bound markets.
Works seamlessly on any timeframe and with any asset.
Emerson v8.4 – Kulture Metrics🜂 Emerson v8.4 – Kulture Metrics
“When volatility breathes, probability answers.”
The Emerson Engine isn’t another indicator—it’s a precision instrument built to exploit the hidden mathematics of motion.
Born from Kulture Metrics’ Nosreme lineage, this model fuses trend architecture, volatility anatomy, and Linetsky’s path-integral weighting into one living signal core. It doesn’t predict — it quantifies belief.
Each trigger passes through three unforgiving filters:
Classical Trend & Momentum Logic — directional strength, pure and unadulterated.
Squeeze Regime Anticipation — volatility compression before the break.
Path-Integral Confirmation — stochastic payoffs weighted by risk-free discounting and volatility density.
The result?
Only signals where the math, the market, and the moment all align — Absolute Confirmations.
No noise. No guessing. No emotion.
In practice, Emerson waits. It calculates. Then it strikes with surgical precision — entries that respect volatility, discount rates, and expected path contributions like a derivatives desk built into your chart.
Each decision point carries the full weight of stochastic probability theory — the same principles driving modern option pricing — yet distilled into something you can read at a glance.
Benefits that separate you from the herd:
✅ Trades filtered by volatility percentile and expected payoff distribution — not gut feel.
✅ Dotted bias line reveals the “probabilistic current” beneath price itself.
✅ Alerts trigger only when logic, momentum, and probability form a unanimous verdict.
✅ Dynamic macro-window shading adapts to volatility pressure in real time.
✅ Every entry inherently respects your risk, target, and discounting horizon.
Emerson v8.4 doesn’t ask the market what’s happening — it tells it what must happen next, given the probabilities.
It’s not designed to comfort. It’s designed to confirm.
Kulture Metrics. Built for traders who understand that randomness is just order not yet resolved.
Michie Breakout 1.0A precision breakout indicator built with adaptive machine learning logic and price action principles.
Designed specifically for TSLA, it detects key volatility shifts and directional momentum zones to capture high-probability breakout setups while filtering noise.
Focuses on clarity, adaptability, and accuracy — optimized for real-time intraday trading.
BB SPY Mean Reversion Investment StrategySummary
Mean reversion first, continuation second. This strategy targets equities and ETFs on daily timeframes. It waits for price to revert from a Bollinger location with candle and EMA agreement, then manages risk with ATR based exits. Uniqueness comes from two elements working together. One, an adaptive band multiplier driven by volatility of volatility that expands or contracts the envelope as conditions change. Two, a bias memory that re arms the same direction after any stop, target, or time exit until a true opposite signal appears. Add it to a clean chart, use the markers and levels, and select on bar close for conservative alerts. Shapes can move while the bar is open and settle on close.
Scope and intent
• Markets. Currently adapted for SPY, needs to be optimized for other assets
• Timeframes. Daily primary. Other frames are possible but not the default
• Default demo. SPY on daily
• Purpose. Trade mean reversion entries that can chain into a longer swing by splitting holds into ATR or time segments
Originality and usefulness
• Novelty. Adaptive band width from volatility of volatility plus a persistent bias array that keeps the original direction alive across sequential entries until an opposite setup is confirmed
• Failure modes mitigated. False starts in chop are reduced by candle color and EMA location. Missed continuation after a take profit or stop is addressed by the re arm engine. Oversized envelopes during quiet regimes are avoided by the adaptive multiplier
• Testability. Every module has Inputs and visible levels so users can see why a suggestion appears
• Portable yardstick. All risk and targets are expressed in ATR units
Method overview in plain language
The engine measures where price sits relative to Bollinger bands, confirms with candle color and EMA location, requires ADX for shorts(in our case long close since we use it currently as long only), and optionally requires a trend or mean reversion regime using band width percent rank and basis slope. Risk uses ATR for stop, target, and optional breakeven. A small array stores the last confirmed direction. While flat, the engine keeps a pending order in that direction. The array flips only when a true opposite setup appears.
Base measures
• Range basis. True Range smoothed over a user defined ATR Length
• Return basis. Not required
Components
• Bollinger envelope. SMA length and standard deviation multiplier. Entry is based on cross of close through the band with location bias
• Candle and EMA filter. Close relative to open and close relative to EMA align direction
• ADX gate for shorts. Requires minimum trend strength for short trades
• Adaptive multiplier. Band width scales using volatility of volatility so envelopes breathe with conditions
• Regime gate optional. Band width percent rank and basis slope identify trend or mean reversion regimes
• Risk manager. ATR stop, ATR target, optional breakeven, optional time exit
• Bias memory. Array stores last confirmed direction and re arms entries while flat
Fusion rule
Minimum satisfied gates count style. All required gates must be true. Optional gates are controlled in Inputs. Bias memory never overrides an opposite confirmed setup.
Signal rule
• Long setup when close crosses up through the lower band, the bar closes green, and close is above the long EMA
• Short setup when close crosses down through the upper band, the bar closes red, close is below the short EMA, and ADX is above the minimum
• While flat the model keeps a pending order in the stored direction until a true opposite setup appears
• IN LONG or IN SHORT describes states between entry and exit
What you will see on the chart
• Markers for Long and Short setups
• Exit markers from ATR or time rules
• Reference levels for entry, stop, and target
• Bollinger bands and optional adaptive bands
Inputs with guidance
Setup
• Signal timeframe. Uses the chart timeframe
• Invert direction optional. Flips long and short
Logic
• BB Length. Typical 10 to 50. Higher smooths more
• BB Mult. Typical 1.0 to 2.5. Higher widens entries
• EMA Length long. Typical 10 to 50
• EMA Length short. Typical 5 to 30
• ADX Minimum for short. Typical 15 to 35
Filters
• Regime Type. none or trend or mean reversion
• Rank Lookback. Typical 100 to 300
• Basis Slope Length and Threshold. Larger values reduce false trends
Risk
• ATR Length. Typical 10 to 21
• ATR Stop Mult. Typical 1.0 to 3.0
• ATR Take Profit Mult. Typical 2.0 to 5.0
• Breakeven Trigger R. Move stop to entry after the chosen multiple
• Time Exit. Minimum bars and extension when profit exceeds a fraction of ATR
Bias and rearm
• Bias flips kept. Array depth
• Keep rearm when flat. Maintain a pending order while flat
UI
• Show markers and levels. Clean defaults
Usage recipes
Alerts update in real time and can change while the bar forms. Select on bar close for conservative workflows.
Properties visible in this publication
• Initial capital 25000
• Base currency USD
• If any higher timeframe calls are enabled, request.security uses lookahead off
• Commission 0.03 percent
• Slippage 3 ticks
• Default order size method Percent of equity with value 5
• Pyramiding 0
• Process orders on close On
• Bar magnifier Off
• Recalculate after order is filled Off
• Calc on every tick Off
Realism and responsible publication
No performance claims. Costs and fills vary by venue. Shapes can move intrabar and settle on close. Strategies use standard candles only.
Honest limitations and failure modes
High impact releases and thin liquidity can break assumptions. Gap heavy symbols may require larger ATR. Very quiet regimes can reduce contrast in the mean reversion signal. If stop and target can both be touched inside one bar, outcome follows the TradingView order model for that bar path.
Regimes with extreme one sided trend and very low volatility can reduce mean reversion edges. Results vary by symbol and venue. Past results never guarantee future outcomes.
Open source reuse and credits
None.
Backtest realism
Costs are realistic for liquid equities. Sizing does not exceed five percent per trade by default. Any departure should be justified by the user.
If you got any questions please le me know
Risk-On / Risk-Off Toolkit [SB1] (NQ, RTY, YM) VIXDescription:
The Risk-On / Risk-Off Toolkit is a professional-grade market context indicator designed to help traders quickly identify broad market sentiment shifts and gauge risk appetite. By combining major US equity futures (NQ, RTY, YM) with VIX dynamics, this toolkit provides clear visual signals of “Risk-On” (bullish, lower volatility environment) and “Risk-Off” (bearish, higher volatility environment) conditions. This is ideal for traders using discretionary analysis, swing strategies, intraday scalping, or portfolio positioning decisions.
My Personal Thoughts: Utilize all 3 charts to Identify which is Leading and who is lagging between the 3 (NQ, RTY, YM) Key Features:
Futures Trend Analysis:
Monitors the Nasdaq 100 (NQ), Russell 2000 (RTY), and Dow Jones (YM) futures in real-time.
Determines bullish/bearish bias based on each futures contract’s current close relative to its open.
Identifies when all three indices are moving in sync, highlighting broad market directional alignment.
VIX Confirmation:
Integrates the CBOE Volatility Index (VIX) to gauge market risk sentiment.
Confirms Risk-On conditions when VIX is falling while all three futures are bullish.
Confirms Risk-Off conditions when VIX is rising while all three futures are bearish.
Optional background shading visually highlights Risk-On (green) and Risk-Off (red) conditions for quick, intuitive assessment.
Strong Body Candle Signals:
Detects high conviction candlestick moves where the body represents at least 85% of the total range.
Confirms whether the candle closes near its extreme (top for bullish, bottom for bearish) within 15% of the range.
Plots arrows for strong bullish or bearish candles:
Green triangle-up for bullish strong candles
Red triangle-down for bearish strong candles
Provides a visual cue for intraday or swing traders to confirm trend momentum without cluttering the chart with labels.
Alert System:
Alerts can be set for Risk-On alignment: all monitored futures are bullish and VIX is falling.
Alerts can also be set for Risk-Off alignment: all monitored futures are bearish and VIX is rising.
Ensures traders never miss shifts in broad market sentiment, suitable for both intraday and end-of-day review.
Table Summary:
Provides a top-right summary table of each monitored market and VIX:
Displays Index Name and Current Bias (Bullish/Bearish/Neutral).
Highlights bullish conditions in green and bearish conditions in red.
Includes VIX status as “↓ Falling”, “↑ Rising”, or “Flat”, providing a quick visual reference of volatility trends.
Customizable Visuals:
Control the visibility of strong candle arrows.
Maintains dynamic bar coloring for strong candle moves (green for bullish, red for bearish).
How to Use the Risk-On / Risk-Off Toolkit:
Trend Confirmation: Use the alignment of NQ, RTY, and YM to determine whether the overall market environment is bullish or bearish.
Risk Sentiment Filter: Use VIX confirmation to identify if traders are in a risk-on or risk-off sentiment. This is especially useful for adjusting position sizing, hedging, or timing entries.
Momentum Validation: Strong candle arrows indicate decisive moves, providing additional confirmation for trade entries, breakouts, or trend continuation.
Alerts & Visual Cues: Set alerts to be notified whenever Risk-On or Risk-Off conditions are met, helping you act in real-time.
Quick Reference: Use the summary table for a bird’s-eye view of market alignment across indices and VIX, avoiding the need to track multiple charts simultaneously.
Why This Indicator is Unique:
Combines three major US indices with volatility confirmation to identify true macro market sentiment shifts.
Provides both visual and alert-based signals for actionable insights.
The inclusion of strong candle arrows gives intraday and swing traders a clear, low-latency cue for high-probability moves.
Perfect for multi-timeframe analysis and adaptable to both short-term and long-term strategies.
Indicator Name Justification:
The name “Risk-On / Risk-Off Toolkit ” accurately reflects the core function: identifying broad market risk appetite and sentiment alignment across key indices with volatility confirmation. It communicates instantly that the tool helps traders understand when the market is favoring risk-taking (Risk-On) versus risk-aversion (Risk-Off).
Pulsar Trading System-LITE📡 Pulsar Trading System
OVERVIEW
Pulsar is a comprehensive breakout trading system that combines dynamic support/resistance detection, trend filtering, and volume confirmation to identify high-probability entry opportunities. Unlike simple breakout indicators, Pulsar uses multi-timeframe analysis and adaptive ATR-based calculations to filter false signals and provide complete trade management from entry to exit.
WHAT MAKES THIS ORIGINAL
This indicator is unique in its integration of multiple complementary systems:
-Adaptive ATR Zones: Support and resistance levels are not static—they dynamically adjust based on current market volatility (ATR), creating entry zones that expand and contract with market conditions rather than using fixed price levels.
-Multi-Timeframe SuperTrend Filter: The trend filter operates on a higher timeframe than the chart (e.g., 5-minute SuperTrend on a 1-minute chart) to prevent counter-trend trades while maintaining granular entry precision. The visual ribbon with humorous warning text ("🚫 Don't Short - Trend is Your Friend! 📈") provides immediate trend awareness.
-Intelligent Cooldown System: After any trade exit (stop loss or take profit), the system enters a configurable cooldown period, preventing overtrading during choppy or consolidating market conditions—a critical feature often missing in breakout systems.
-Dynamic Trailing Stops: The trailing stop uses ATR multipliers to lock in profits while adapting to volatility, moving only in the favorable direction and never loosening.
-Comprehensive Dashboard: Real-time analysis displays trade status, entry prices, distances to targets in both points and ATR multiples, volume confirmation status, and cooldown countdown.
HOW IT WORKS
Core Detection Logic:
Pulsar identifies breakout opportunities by monitoring price interaction with dynamically calculated support and resistance levels:
Support/Resistance Calculation: Uses ta.lowest() and ta.highest() over a configurable lookback period to identify key levels, then adds ATR-based buffers (0.5 × ATR) to create entry zones.
Breakout Conditions:
Long Entry: Price closes above support buffer AND recent low touched support AND volume exceeds threshold
Short Entry: Price closes below resistance buffer AND recent high touched resistance AND volume exceeds threshold
SuperTrend Filter: A separate higher-timeframe SuperTrend calculation determines overall trend direction. Entries only trigger when breakout direction aligns with SuperTrend (bullish breakout + bullish trend, or bearish breakout + bearish trend).
Volume Confirmation: Current volume must exceed a configurable multiple of the 14-period SMA (default 1.0×) to confirm genuine interest in the breakout.
Cooldown Mechanism: After exit, the system tracks bars elapsed and blocks new signals until the cooldown period completes, preventing rapid-fire entries in ranging markets.
Trade Management:
Stop Loss: Calculated as entry zone ± (ATR × SL Multiplier)
Take Profit 1: Entry zone ± (ATR × TP1 Multiplier)
Take Profit 2: Entry zone ± (ATR × TP2 Multiplier)
Trailing Stop (optional): Updates every bar, moving the stop closer by maintaining distance of (ATR × Trailing Multiplier) from current price, but only in favorable direction
SuperTrend Calculation:
The SuperTrend uses standard methodology:
Upper Band = (High + Low) / 2 + (Multiplier × ATR)
Lower Band = (High + Low) / 2 - (Multiplier × ATR)
Direction changes when price crosses opposite band
The ribbon visualization adds a width offset (ATR × Ribbon Width) to create a filled zone rather than a single line.
HOW TO USE
Setup:
Add Pulsar to your chart (works best on liquid instruments like NQ, ES, CL)
Configure timeframe-specific settings (see recommendations below)
Enable SuperTrend Filter for trend-following mode, or disable for pure breakout mode
Set up alerts for Entry, TP1, TP2, and Stop Loss events
Recommended Settings by Timeframe:
1-Minute Charts:
Lookback Period: 10-15
SuperTrend Timeframe: 5 min
ATR Timeframe: 5 min (for stability)
Cooldown: 8-12 bars
Trailing Stop: Enabled with 0.8-1.0 multiplier
5-Minute Charts:
Lookback Period: 15-20
SuperTrend Timeframe: 15 min
ATR Timeframe: current chart
Cooldown: 5-8 bars
Trailing Stop: Optional
15-Minute+ Charts:
Lookback Period: 20-30
SuperTrend Timeframe: 1 hour
ATR Timeframe: current chart
Cooldown: 3-5 bars
Trailing Stop: Optional
Interpreting Signals:
Long/Short Zone Box: Green (long) or red (short) box appears when breakout conditions are met
Blue Entry Line: Shows your entry price
Red/Orange SL Line: Red = fixed stop, Orange = trailing stop (moves in real-time)
Green TP Lines: TP1 (closer) and TP2 (further) targets
SuperTrend Ribbon: Green = bullish trend (favor longs), Red = bearish trend (favor shorts)
Dashboard Status: Monitor trade state, distances, volume confirmation, and cooldown
Best Practices:
Use SuperTrend Filter: Significantly reduces false signals by avoiding counter-trend trades
Enable Cooldown on Fast Timeframes: Prevents overtrading on 1-5 minute charts
Volume Confirmation is Critical: Don't lower volume multiplier below 0.9 on futures
Use Higher Timeframe ATR: On 1-minute charts, use 5-minute ATR for stability
Avoid Major News Events: Disable during FOMC, NFP, CPI releases
Scale Out Strategy: Consider taking partial profits at TP1, letting remainder run to TP2
Parameter Optimization:
Start conservative and adjust based on results:
Too many stop-outs: Increase SL multiplier or SuperTrend multiplier
Missing good trades: Decrease volume multiplier or cooldown period
Too many false signals: Increase volume multiplier, lookback period, or cooldown
Profits not protected: Enable trailing stop or reduce trailing multiplier
KEY FEATURES
✅ Dynamic ATR-Based Zones: Entry, stop loss, and take profit levels automatically adjust to market volatility
✅ Multi-Timeframe Trend Filter: Uses higher timeframe SuperTrend to eliminate counter-trend trades
✅ Volume Confirmation: Filters low-volume false breakouts
✅ Intelligent Cooldown: Prevents overtrading with configurable post-trade waiting period
✅ Trailing Stop System: Optional dynamic stops that lock in profits using ATR distance
✅ Real-Time Dashboard: 13-row analysis showing trade status, targets, distances, volume, and cooldown
✅ Visual Ribbon Warnings: Humorous trend-following reminders on SuperTrend ribbon
✅ Complete Alert System: Notifications for entries, TP1, TP2, fixed stops, and trailing stops
✅ Customizable Visuals: Adjustable colors, dashboard position, text size, and line lengths
✅ Non-Repainting: Uses lookahead = barmerge.lookahead_off for all multi-timeframe calculations
SETTINGS EXPLAINED
SuperTrend Filter:
Enable: Toggle trend filtering on/off
Timeframe: Higher timeframe for trend analysis (recommended 3-5x chart timeframe)
ATR Period: Period for ATR calculation in SuperTrend (10-14 standard)
Multiplier: Distance from center band (2.5-3.5 for most markets)
Ribbon Width: Visual thickness of trend ribbon (0.2-0.5)
Core Parameters:
Lookback Period: Bars used to identify support/resistance (lower = more sensitive)
ATR Period: Bars for Average True Range calculation (14 is standard)
ATR Timeframe: Use higher timeframe ATR for smoother calculations on fast charts
Volume Multiplier: Required volume vs average (1.0 = average, 1.5 = 50% above average)
TP/SL:
SL Multiplier: Stop loss distance in ATR units (1.0-2.0 typical)
TP1 Multiplier: First target in ATR units (1.5-2.5 typical)
TP2 Multiplier: Second target in ATR units (2.0-3.5 typical)
Trailing Stop:
Enable: Activate dynamic trailing stop
Multiplier: Distance from current price in ATR units (0.8-1.5 typical)
Cooldown:
Enable: Prevent new signals after trade exit
Bars: Number of bars to wait before allowing next trade (higher on fast timeframes)
IMPORTANT NOTES
⚠️ Not a Holy Grail: No indicator is perfect. Pulsar is a tool that requires proper risk management, position sizing, and trading discipline.
⚠️ Backtest First: Test settings on historical data before live trading. Results vary by instrument, timeframe, and market conditions.
⚠️ Market Conditions Matter: Breakout systems perform best in trending markets. Consider reducing size or disabling during known choppy periods.
⚠️ Stop Loss is Mandatory: Always use the provided stop loss levels. Markets can move against you rapidly.
⚠️ Volume Data Required: This indicator requires volume data to function properly. It will display a warning if volume is unavailable.
⚠️ No Repainting: All multi-timeframe calls use non-repainting settings. What you see in real-time is what will be plotted historically.
TECHNICAL SPECIFICATIONS
Version: Pine Script v6
Type: Indicator (overlay = true)
Max Boxes: 500 (for zone visualization)
Max Lines: 500 (for TP/SL levels)
Max Labels: Unlimited (for annotations)
Repainting: None (uses lookahead = barmerge.lookahead_off)
COMPATIBLE INSTRUMENTS
Works best on liquid instruments with reliable volume data:
✅ Futures: NQ, MNQ, ES, MES, YM, MYM, RTY, M2K, CL, GC
✅ Forex: Major pairs (EUR/USD, GBP/USD, etc.)
✅ Stocks: Large-cap stocks with high volume
⚠️ Crypto: Works but requires higher ATR multipliers
❌ Low Volume Stocks: May produce unreliable signals
SUPPORT
For questions, suggestions, or to report issues, please comment below. I actively maintain this indicator and appreciate feedback from the community.
Enjoy trading with Pulsar! 🌟
Supply/Demand HTF (RBD/DBR) – FIX + DebugOverview:
This indicator automatically detects and plots institutional supply and demand zones on any timeframe.
It analyzes price action to identify Drop-Base-Rally (DBR) and Rally-Base-Drop (RBD) structures — the core formations of supply and demand trading.
How It Works
1. The script scans price candles to detect “base” formations — small consolidation candles between impulsive moves.
2. When it finds a valid base followed by a strong move, it marks that area as:
• 🟩 Demand Zone (DBR): price dropped → consolidated → rallied upward
• 🟥 Supply Zone (RBD): price rallied → consolidated → dropped downward
3. Each detected zone is extended to the right so you can see if price returns to it later.
Color
Meaning
Description:
🟩 Green Zone
Demand
Institutional buy area (potential bullish reversal)
🟥 Red Zone
Supply
Institutional sell area (potential bearish reversal)
🟦 Blue Box
(Debug) HTF candle box used for internal analysis — can be hidden
🟡 Yellow Fill
Zone has been touched by price (reactivated)
Usage
• Works best when detecting zones from H4 or H1 and trading confirmations on M5 or M15.
• Ideal for institutional-style or “Smart Money Concepts” traders.
• Zones are auto-updated as new structures appear.
Information-Geometric Market Dynamics + MLInformation-Geometric Market Dynamics + ML (IGMD-ML)
Foreword: Beyond the Shadows on the Wall
If you have traded for any length of time, you understand the frustration of a perfect setup that fails, the whipsaw that stops you out just before a major move, or the persistent feeling that the price chart is only telling you half the story. For decades, technical analysis has focused on interpreting the shadows—the patterns left behind by price. We draw lines, apply indicators, and hope to derive future movement from this historical data.
But what if we could stop analyzing the shadows and instead measure the object casting them?
This script, Information-Geometric Market Dynamics (IGMD), introduces a new paradigm for market analysis. Its core premise is that the price chart is merely a one-dimensional projection of a much richer, higher-dimensional reality—an "information field" generated by the collective actions, beliefs, and emotions of all market participants.
This is not just another collection of indicators. It is a unified framework for measuring the geometry of this information field—its memory, its complexity, its uncertainty, its causal flows—and making high-probability decisions based on that deeper reality.
The IGMD Framework: A Multi-Kernel Approach
At the heart of IGMD are mathematical "kernels"—specialized engines that transform raw price data into meaningful measurements of abstract market properties. The framework's power lies in its ability to fuse the outputs of five distinct kernels, synthesizing their diverse perspectives into a single, coherent picture of the market's state.
The Five Core Kernels of Market Dynamics:
1. The Wavelet Kernel (The "Microscope"): Decomposes price into different frequency scales, separating short-term noise from the underlying market "thesis."
2. The Hurst Exponent Kernel (The "Memory Gauge"): Measures the market's "long-term memory" to determine if it is in a trending, mean-reverting, or random state.
3. The Fractal Dimension Kernel (The "Complexity Compass"): Quantifies the geometric complexity of the price path, acting as a primary filter for tradable vs. untradable conditions.
4. The Shannon Entropy Kernel (The "Uncertainty Meter"): Provides a pure measure of information and uncertainty, gauging market conviction and predictability.
5. The Transfer Entropy Kernel (The "Causality Probe"): Moves beyond correlation to measure the directed flow of information, assessing if a driver (like volume) is genuinely leading price.
Major Update: The Intelligence Layer & Machine Learning Integration
This version of IGMD introduces a significant advancement: an integrated machine learning (ML) engine that acts as an intelligent decision-making layer on top of the core five-kernel analysis. This is not a "black box" system but a transparent, adaptive filter designed to improve signal quality by learning from the market in real time.
How the ML Engine Works
The ML model processes the outputs from all five IGMD kernels and other market variables (like RSI and Volume) to build a comprehensive, multi-dimensional understanding of the current market state.
Core Technology: The engine uses an online logistic regression model. "Online" means it learns and updates its parameters with every new bar of data, allowing it to adapt continuously to changing market dynamics without needing to be retrained.
Non-Linear Pattern Recognition: To capture the market's complex behavior, the model projects the kernel data into a higher-dimensional space using Random Fourier Features (RFF) . This technique allows a linear model to recognize highly intricate patterns that would otherwise be invisible.
Probabilistic Filtering: The ML engine’s primary function is to act as a final confirmation filter. For every signal generated by the core IGMD system, the ML model calculates a probability score—its confidence that the price will move in the predicted direction. Signals are only displayed if they pass this confidence check.
Key Features of the ML Engine
Automated Regime Filter: The ML engine uses the Fractal Dimension and Shannon Entropy kernels to identify choppy, unpredictable markets. During these periods, the system automatically pauses new signal generation to help preserve capital.
Adaptive Confidence Threshold: To optimize performance, the ML engine features an optional self-adjusting confidence threshold. This system tracks its own rolling accuracy and adjusts its selectivity accordingly, becoming more cautious in uncertain periods and more opportunistic when its accuracy is high.
Feature Importance Monitoring: The dashboard displays which of the core IGMD features (e.g., Wave, Hurst, Entropy) the ML model is currently relying on most. This provides valuable insight into the market's character and what is driving the model's decisions.
Advanced Adaptation: The Reinforcement Learning Bandit (Experimental)
For advanced users, this version includes an experimental feature based on a Multi-Armed Bandit , a concept from reinforcement learning. When enabled, this system can automatically switch between different parameter presets (e.g., Conservative, Balanced, Aggressive) based on the current market regime. It learns over time which preset performs best under specific conditions by balancing the exploitation of known successful strategies with the exploration of others.
Fusion & Interpretation: The Field Score & Enhanced Dashboard
The Field Score: The outputs of the five kernels are fused into a single, comprehensive "Field Score" ranging from -1 (maximum bearish alignment) to +1 (maximum bullish alignment). This remains the ultimate at-a-glance metric for the market's net state.
The Enhanced Dashboard: Your mission control has been upgraded to include the ML engine's analysis. Alongside the core kernel readouts, you can now monitor:
ML Status: See if the model is active, warming up, or disabled.
ML Probability: View the model's real-time confidence for a bullish move.
Regime Status: Instantly know if the market is "Trending," "Normal," or "Choppy (Paused)."
Top Feature: Identify the most influential IGMD kernel according to the ML model.
Signal Status: See the final, ML-vetted signal.
Mastering the Controls: A Guide to the Inputs
The inputs menu gives you full control over the IGMD and ML engines.
🤖 Machine Learning Engine:
Enable ML Probability Model: The master switch for the entire ML layer.
Prediction Horizon: Set how many bars ahead you want the ML model to predict. This should align with your trading style.
ML Confidence Threshold: The minimum probability required for the ML model to approve a signal. This is your primary tool for adjusting signal quality versus frequency.
Pause in Choppy Regimes: Enable or disable the automated filter that stops trading in unfavorable conditions.
Auto-Adjust Threshold: Allow the system to self-optimize its confidence threshold based on recent accuracy.
🎰 Adaptive Parameter Bandit:
Enable Parameter Bandit: Activate the experimental reinforcement learning agent to manage strategy presets automatically.
Reading the Battlefield: On-Chart Visuals
In addition to the established pattern boxes, RR rails, and signal markers, a new visual element has been added:
ML Rejection Markers (✗): An orange '✗' will appear on the chart when the core IGMD system identifies a potential setup, but the ML model's confidence is below your defined threshold. This provides crucial feedback, showing you which signals were intelligently filtered out by the intelligence layer for having a lower probability of success.
A Methodological Distinction: What Sets IGMD Apart **
What sets this framework apart is its foundational approach. Instead of relying on traditional technical indicators, IGMD is architected as a multi-disciplinary engine that fuses concepts from signal processing, chaos theory, and information theory. It moves beyond analyzing simple price action to measure the market's underlying "information field"—quantifying its memory, complexity, and causal flows into a single, unified score. The integrated machine learning layer builds on this foundation, creating a transparent, adaptive filter that learns from market conditions in real-time. This combination of a fused, multi-dimensional analysis with a live, probabilistic intelligence layer offers a more dynamic and nuanced perspective than static, single-purpose indicators.
Development Philosophy & A Final Word
This script was designed to answer a single question: "What is the market *really* doing?" The addition of a transparent, adaptive machine learning layer is the next logical step in this pursuit—using computational intelligence to navigate the vast amount of information the core kernels provide.
This tool is offered for educational and analytical purposes and does not constitute financial advice. Its goal is to elevate market analysis from interpreting flat shadows to measuring the rich, geometric reality of the market's information field.
As the great mathematician Benoit Mandelbrot, father of fractal geometry, noted:
"Clouds are not spheres, mountains are not cones, coastlines are not circles, and bark is not smooth, nor does lightning travel in a straight line."
Neither does the market. IGMD is a tool designed to help navigate that beautiful, complex, and fractal reality.
— Dskyz, Trade with insight. Trade with anticipation.
Super Frog Power - Cluster Flip %Super Frog Power - Cluster Flip %
🔄 Trade Smarter, Not Harder: Let the Cluster Decide
Welcome to the "Super Frog Power - Cluster Flip %" strategy, a sophisticated multi-system confluence engine designed to filter out market noise and pinpoint high-probability trade setups. This isn't just another indicator; it's a comprehensive trading system that aggregates signals from eight distinct technical methodologies, waiting for them to align into a powerful "cluster" before you enter a trade.
🎯 Core Philosophy: The Power of Confluence
A single indicator can give false signals. A cluster of indicators from uncorrelated systems agreeing on a direction is a much stronger signal. This strategy continuously monitors multiple independent systems and only executes a trade when a significant number of them flip to a consensus, dramatically increasing the likelihood of a successful move.
✨ The 8 Systems of Super Frog Power
This strategy synthesizes signals from the following powerful components:
Bollinger Bands®: Identifies overbought and oversold conditions relative to recent volatility.
CMI (Cluster Momentum Index) System: A unique multi-period momentum oscillator that identifies convergence and breakout moments with custom "Lion" (SELL) and "Car" (BUY) signals.
SMI (Stochastic Momentum Index) System: A refined momentum indicator that generates "Mouse" (BUY) signals and combines with CMI for "Green Angel" and "Red Devil" super signals.
Lucky Balls (NVI/PVI): Utilizes Negative and Positive Volume Index to gauge smart money flow and identify accumulation/distribution zones.
Momentum System: A triple-threat combo of RSI, CCI, and PPO, scaled and combined to generate robust momentum-based entries and exits.
Lucky Table (Oscillator Overload): Counts the number of key oscillators (SMI, RSI, CCI) in overbought or oversold territory, triggering a signal when a threshold is met.
Apples & Pairs System: A complex system analyzing price swings, accumulation, mass index, and doji patterns with fun, emoji-based signals like "Apple Cross Up" 🍎 and "Pig Cross Down" 🐖.
ZBT (Zonal Breakout Trend) System: A multi-timeframe trend-following system using dynamic EMA channels and an ATR-based trailing stop to identify the primary trend and robust breakout points.
⚙️ How It Works: The Cluster Flip Logic
The magic happens in the signal aggregation. The strategy counts every single BUY and SELL signal from all active systems.
A "Strong Buy" is triggered when 6 or more independent BUY signals occur simultaneously.
A "Strong Sell" is triggered when 5 or more independent SELL signals occur simultaneously.
This "cluster flip" mechanism ensures you are only trading when there is broad-based technical agreement, keeping you out of choppy and uncertain market conditions.
🛡️ Integrated Risk Management
We believe a strategy is nothing without proper risk management. This system comes with built-in, percentage-based order management:
User-Defined Profit Target (%): Lock in profits automatically at your specified percentage gain.
User-Defined Stop Loss (%): Protect your capital with a hard stop loss.
Position Sizing: Control your risk per trade with a customizable position size.
Trades are also managed logically: a new strong signal in the opposite direction will automatically close any existing position, ensuring you're always on the right side of the cluster's consensus.
🎨 Visual Features & Customization
Fully Customizable: Don't like one system? Turn it off! Every system can be toggled on/off from the inputs.
Clear Visuals: Each system is plotted in a distinct color, making the chart a rich source of information without being cluttered.
Signal Markers: Strong Buy and Strong Sell clusters are clearly marked with large circles below and above the bars.
Alert Ready: Built-in alerts for Strong Buy and Strong Sell signals so you never miss a cluster setup.
🚀 How to Use
Add the script to your chart (1H, 4H, or Daily timeframes are recommended for swing trading).
Adjust the inputs to your liking, especially the Profit Target %, Stop Loss %, and Position Size under the "Strategy Parameters" section.
Observe the clusters. Wait for the "Strong Buy" or "Strong Sell" circle to appear.
Enter the trade. The strategy will automatically plot the profit target and stop loss levels on the chart for your reference.
Manage your trade. Let the logic handle the exits, or use your own discretion.
💡 Ideal For
Swing Traders looking for high-confidence set-and-forget setups.
Technical Analysts who appreciate the depth of multi-system confluence.
Traders who want to avoid the paralysis of analyzing too many indicators separately.
Unleash the power of cluster trading. Add the "Super Frog Power - Cluster Flip %" to your chart today!
INTRA DAY BEAST The Intraday Beast doesn’t follow trends… it detects them before they roar.
It watches the market’s rhythm, waits in silence, and strikes only when the odds are loaded in its favor.
This isn’t your average flashy indicator — it doesn’t bark at every candle.
When it moves, it means business.
Each signal is a calculated attack — clean, disciplined, and deadly precise.
But listen carefully…
⚠️ The Beast hates boredom.
If your stock has no volume, no volatility, no life — it won’t even wake up.
Feed it only the hottest stocks, the wildest moves, and the loudest markets.
Then, and only then, you’ll see what this creature can do.
💬 Trade smart. Stay patient. Wait for chaos — then let the Beast strike.
Dashboard — Vol & PriceDashboard for traders
Indicator Description
1. Prev Day High
What it shows: the previous trading day's high.
Why it shows: a resistance level. Many traders watch to see if the price will hold above or below this level. A breakout can signal buying strength.
2. Prev Day Low
What it shows: the previous day's low.
Why it shows: a support level. If the price breaks downwards, it signals weakness and a possible continuation of the decline.
3. Today
What it shows:
The difference between the current price and yesterday's close (in absolute values and as a percentage).
Color: green for an increase, red for a decrease.
Why it shows: immediately shows how strong a gap or movement is today relative to yesterday. This is an indicator of current momentum.
4. ADR, % (Average Daily Range)
What it shows: Average daily range (High – Low), expressed as a percentage of the closing price, for the selected period (default 7 days).
Why it's useful: To understand the "normal" volatility of an instrument. For example, if the ADR is 3%, then a 1% move is small, while a 6% move is very large.
5. ATR (Average True Range)
What it shows: Average fluctuation range (including gaps), in absolute points, for the specified period (default 7 days).
Why it's useful: A classic volatility indicator. Useful for setting stops, calculating position sizes, and identifying "noise" movements.
6. ATR (Today), %
What it shows: How much the current movement today (from yesterday's close to the current price) represents in % of the average ATR.
Why it shows: Shows whether the instrument has "played out" its average range. If the value is already >100%, there is a high probability that the movement will begin to slow.
7. Vol (Today)
What it shows:
Current trading volume for the day (in millions/billions).
Comparison with yesterday as a percentage (for example: 77.32M (-52.78%)).
Color: green if the volume is higher than yesterday; red if lower.
Why it shows:Quickly shows whether the market is active today. Volume = fuel for price movement.
8. Avg Vol (20d)
What it shows: Average daily volume over the last 20 trading days.
Why it's useful:"normal" activity level. It's a convenient backdrop for assessing today's turnover.
9. Rel. Vol (Today), % (Relative Volume)
What it shows: Deviation of the current volume from the average (20 days).
Formula: `(today / average - 1)` * 100`.
+30% = volume 30% above average, -40% = 40% below average.
Color: green for +, red for –.
Why it's useful:A key indicator for a trader. If RelVol > 100% (green), the market is "charged," and the movement is more significant. If low, activity is weak and movements are less reliable.
10. Normalized RS (Relative Strength)
What it shows: the relative strength of a stock to a selected benchmark (e.g., SPY), normalized by the period (default 7 days).
100 = same result as the market.
> 100 = the stock is stronger than the index.
<100 = weaker than the index.
Why it's needed: filtering ideas. Strong stocks rise faster when the market rises, weak stocks fall more sharply. This helps trade in the direction of the trend and select the best candidates.
In summary:
Prev High / Low — key support and resistance levels.
Today — an instant understanding of the current momentum.
ADR and ATR — volatility and potential movement.
ATR (Today) — how much the instrument has already "run."
Vol + Rel.Vol — activity and confirmation of the movement's strength.
RS — selecting strong/weak leaders against the market.
Trendilo + Adaptive Volatility Prediction AlgorithmTrendilo + Adaptive Volatility Prediction Algorithm
Credit: Original Trendilo created by dudeowns. This version keeps the original trend logic and adds an algorithmic based volatility predictive method used in other proprietary, high end indicators I had created in the past.
Timeframe and Usage:
Designed for use on the 15m timeframe but can be used on any timeframe. Settings are available for tweaking and fine tuning based on your trading strategy and preferences.
Note: In my testing I've found the 3D to be HIGHLY effective as determining major volatile breakouts after periods of consolidation.
3 Day chart example
What this indicator shows:
• 📈 Trend Line: A simple line plot showing the general direction of price (up, down, or neutral).
• 🎨 Volatility Band: A colored visual layer that shows how tight or loose the market currently is.
Volatility Color Meanings:
• Transparent / Wide = Expanded (normal market movement)
• 🔵 Blue = Normal volatility
• 🟣 Purple = Compressed (price is tightening)
• 🔴 Red = Highly Compressed (strong pressure build-up)
• 💛 Yellow = Extremely Compressed (market is tightly coiled at a rare level)
How to interpret / use this indicator
This indicator does not predict direction. It shows how much volatile energy is building in the market for an upcoming move.
The stronger the compression (Purple > Red > Yellow), the bigger the volatility release tends to be relative to recent price action.
The yellow state is the most significant. It indicates the market is at extremely compressed levels and has enough energy stored for substantial and volatile movement.
Display Panel:
A small panel on the chart shows the current volatility condition in plain text for fast recognition.
QuantumFlow MTF System Extended
QuantumFlow MTF System Extended
Multi-Timeframe Directional Flow & Volatility Alignment Engine — Higher-Timeframe Edition
The QuantumFlow MTF System Extended is a higher-timeframe analytical framework that expands upon the original QuantumFlow concept.
While the base version focuses on short-term structures (1M – 15M), this edition is designed for traders who need to observe medium- to long-term directional harmony across the 30M, 45M, 1H, 2H, 3H and 4H timeframes.
Its purpose is to provide a structured, non-repainting overview of how momentum and volatility align over broader market horizons — helping traders understand the prevailing directional flow rather than predicting future prices.
Concept
The system aggregates confirmed Supertrend directions from each higher timeframe, converting them into normalized bullish or bearish values.
These values are then processed through dual-layer EMA momentum filters that validate the directional strength of each component.
The resulting matrix displays a precise snapshot of how higher-timeframe market structures are synchronized — serving as a compass of directional alignment rather than a buy/sell signal generator.
A multi-ATR framework defines adaptive volatility zones, allowing each instrument to react proportionally to its intrinsic volatility profile.
This approach smooths sensitivity shifts that often occur between intraday and multi-hour structures, delivering consistent analytical behavior across asset classes.
How It Works
Confirmed Multi-Timeframe Supertrend
Each timeframe produces a close-confirmed Supertrend direction, ensuring signal stability and preventing repainting.
Adaptive Multi-ATR Model
Multiple ATR instances with distinct deviation factors define dynamic volatility thresholds that self-adjust to market conditions.
Dual EMA Momentum Validation
Two independent EMA layers filter and confirm each Supertrend direction, improving directional clarity and reliability.
Flow Totals Engine
The indicator sums all timeframe states into real-time bullish/bearish totals and percentage ratios, clearly visualized within a single panel.
Configurable Alerts (Optional)
Users may set threshold-based alerts when directional alignment reaches specified intensity levels (for example, when all timeframes are synchronized).
Full Customization
All visual elements — colors, text, background, and layout — can be adjusted to match personal preferences or chart themes.
Intended Use and Benefits
Observe how higher-timeframe trends align to reveal medium-term directional bias.
Quantify the balance of bullish vs bearish momentum across multiple timeframes.
Combine with lower-timeframe analysis (e.g. the original QuantumFlow System) to establish multi-layer confirmation between short- and mid-term flows.
Maintain awareness of trend synchronization or divergence without relying on subjective chart interpretation.
This indicator does not provide trading signals, forecasts, or financial advice.
It is an analytical tool intended to assist users in studying market structure and volatility behavior.
Chart Display
QuantumFlow Extended presents a unified dashboard that lists each analyzed timeframe, its active directional state, and the overall flow balance in numeric and percentage form.
It functions seamlessly on all instruments and can be used standalone or alongside the original short-term version.
Access
This is an invite-only indicator.
To request access or additional information, please contact the author privately via the TradingView profile.
ATR SL/TP Precision Zones (Dots)ATR SL/TP Precision Zones (Dots) is a volatility-based tool designed to help traders set accurate Stop Loss and Take Profit levels based on real market volatility — not fixed pips or emotion.
This indicator uses ATR (Average True Range) multiplied by 1.2 to calculate dynamic distance bands.
Instead of drawing a ribbon or channel, it places simple dots above and below each candle:
Upper Dot (Green) → Suggested Take Profit / Price Stretch Zone
Lower Dot (Red) → Suggested Stop Loss Cushion / Support Expansion Zone
Because ATR measures market volatility, these dots expand during high volatility and tighten during slow markets, helping traders avoid stop-loss hunts and premature exits.
Why This Works
Most traders lose because:
They set SL too close → stopped out by noise
They set TP too far → price never reaches it
This tool calibrates those distances automatically based on real price movement behavior.
ATR = volatility
Volatility = market breathing room
This indicator ensures your trade has room to breathe, increasing win consistency.
Best Use Cases
Scalping
Swing trading
Trend continuation entries
Reversal confirmations with support/resistance
Works on Crypto / Forex / Stocks / Futures
Inter-symmetric Forecast (ISF)Concept:
The Inter-Symmetric Forecast (ISF) is a physics-inspired price projection tool that visualizes both trend-continuation and mean-reversion scenarios in one dynamic structure. It extends the classic ADAM Projection by introducing a regime-sensitive weighting based on the Market Reynolds Number (Reₘ), a dimensionless ratio of market momentum × liquidity to volatility-derived “viscosity.”
Mechanism:
ISF mirrors past price action around the current close (the continuation path) while also forward-pasting the same pattern unreflected (the anti-trend path). It then blends these paths bar-by-bar using time-reflected Reₘ values — meaning the liquidity-momentum regime of each past segment determines how much its future mirror leans toward continuation or reversion.
Interpretation:
High Reₘ → strong inertia/liquidity, favors trend continuation.
Low Reₘ → high friction/volatility, favors mean reversion.
The yellow blended forecast shows the regime-weighted midpoint between both outcomes.
Use:
ISF offers traders a visual probability corridor rather than a fixed prediction — illustrating how far a move might extend if momentum persists, or fade if conditions become viscous. It’s best used as a contextual forecasting overlay for discretionary or systematic analysis.
ATR-Based Volatility SL/Target Planner (MTF Table)✅ ATR SL & Target Planner (MTF Table – Chart, 10m, 15m)
This indicator provides a clean multi-timeframe ATR table showing:
✅ ATR (Chart / 10m / 15m)
✅ Entry price (manual or auto)
✅ ATR-based Stop-Loss
✅ Target 1 & Target 2
✅ MTF level comparison
✅ High-contrast color-coded SL (Red) + Targets (Green)
✅ Selected timeframe highlighted automatically
Designed for intraday traders, positional traders, and volatility-based strategies.
✅ How to Use It
✅ 1. Choose Entry Mode
Manual Entry ON → Type your entry price
Manual Entry OFF → Last candle close is used
The script calculates ATR(14) on:
Current chart timeframe
10-minute timeframe
15-minute timeframe
Then it uses standard volatility-based formulas:
Stop-Loss = Entry ± (ATR × SL Multiplier)
Target 1 = Entry ± (ATR × T1 Multiplier)
Target 2 = Entry ± (ATR × T2 Multiplier)
Direction depends on Long/Short mode.
You can switch which ATR timeframe becomes active (affecting plotted lines + alerts).
✅ Why This Indicator Is Useful
This script solves 3 common problems:
✅ 1. “How wide should my stop-loss be?”
ATR automatically adjusts the SL to market volatility.
✅ 2. “Which timeframe ATR should I trust?”
You can compare Chart, 10m, and 15m in one panel.
✅ 3. “The table is too big in other indicators.”
This is compact, clean, color-coded, and readable.
Happy Trading :)
tradingview_momentum_Hull-Suite-W-FVSO-NO-WeekendMomentum no weekend trades. It uses FVZO and Hull suite.
This strategy has low win rate but successfully catches trends. Works well on ETH in High Time Frame multi-year.
Hindenburg OmenThe Hindenburg Omen highlights periods of internal market stress — when both new 52-week highs and new lows expand while the NYSE remains in an uptrend.
This condition often precedes major corrections or volatility spikes by revealing divergence beneath the surface of an advancing market.
The indicator triggers when four classic breadth rules align: elevated highs and lows, a positive trend, a negative McClellan Oscillator, and a highs-to-lows ratio under 2:1.
Use it on broad indices (NYSE, S&P 500) as an early-warning context tool, NOT a standalone sell signal.
Quantura - Supply & Demand Zone DetectionIntroduction
“Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics.
Originality & Value
This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context.
The key values of this tool include:
Automated detection of high-probability supply and demand zones.
Integration of both volume and ATR filters for precision and adaptability.
Dynamic zone merging and updating based on price evolution.
Identification of breaker blocks (invalidated zones) to visualize market structure shifts.
Optional bullish and bearish trade signals when zones are retested.
Clear, visually optimized plotting for efficient chart interpretation.
Functionality & Core Logic
The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones.
Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area.
Supply Zones are created when distribution or strong bearish rejection occurs near local highs.
Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts.
Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block.
Parameters & Customization
Demand Zones / Supply Zones: Enable or disable each individually.
Breaker Zones: Activate breaker block detection for invalidated zones.
Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier.
ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions.
Swing Length: Controls the number of bars used to detect structural pivots.
Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness.
Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones.
Color Customization: User-defined bullish and bearish colors for both standard and breaker zones.
Core Calculations
Zones are detected using pivot highs and lows with a defined lookback and lookahead period.
Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.”
Detected zones are merged if overlapping, keeping the chart clean and logical.
When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically.
Bullish and bearish markers appear when zones are retested from the opposite side.
Visualization & Display
Demand zones are shaded in semi-transparent bullish color (default: blue).
Supply zones are shaded in semi-transparent bearish color (default: red).
Breaker zones appear when previous imbalances are broken, helping to spot structural shifts.
Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction.
Use Cases
Identify institutional areas of accumulation (demand) or distribution (supply).
Detect potential breakout traps and market structure shifts using breaker zones.
Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation.
Observe retests and reactions of zones to anticipate possible reversals or continuations.
Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries.
Limitations & Recommendations
The indicator does not predict future price movement; it highlights structural imbalances only.
Performance depends on chosen swing length and sensitivity—users should optimize parameters for each market.
Works best in volatile markets where supply and demand imbalances are clearly expressed.
Should be used as part of a broader trading framework, not as a standalone signal generator.
Markets & Timeframes
The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.
Sigma Trinity ModelAbstract
Sigma Trinity Model is an educational framework that studies how three layers of market behavior interact within the same trend: (1) structural momentum (Rasta), (2) internal strength (RSI), and (3) continuation/compounding structure (Pyramid). The model deliberately combines bar-close momentum logic with intrabar, wick-aware strength checks to help users see how reversals form, confirm, and extend. It is not a signal service or automation tool; it is a transparent learning instrument for chart study and backtesting.
Why this is not “just a mashup”
Many scripts merge indicators without explaining the purpose. Sigma Trinity is a coordinated, three-engine study designed for a specific learning goal:
Rasta (structure): defines when momentum actually flips using a dual-line EMA vs smoothed EMA. It gives the entry/exit framework on bar close for clean historical study.
RSI (energy): measures internal strength with wick-aware triggers. It uses RSI of LOW (for bottom touches/reclaims) and RSI of HIGH (for top touches/exhaustion) so users can see intrabar strength/weakness that the close can hide.
Pyramid (progression): demonstrates how continuation behaves once momentum and strength align. It shows the logic of adds (compounding) as a didactic layer, also on bar close to keep historical alignment consistent.
These three roles are complementary, not redundant: structure → strength → progression.
Architecture Overview
Execution model
Rasta & Pyramid: bar close only by default (historically stable, easy to audit).
RSI: per tick (realtime) with bar-close backup by default, using RSI of LOW for entries and RSI of HIGH for exits. This makes the module sensitive to intra-bar wicks while still giving a close-based safety net for backtests.
Stops (optional in strategy builds): wick-accurate: trail arms/ratchets on HIGH; stop hit checks with LOW (or Close if selected) with a small undershoot buffer to avoid micro-noise hits.
Visual model
Dual lines (EMA vs smoothed EMA) for Rasta + color fog to see direction and compression/expansion.
Rungs (small vertical lines) drawn between the two Rasta lines to visualize wave spacing and rhythm.
Clean labels for Entry/Exit/Pyramid Add/RSI events. Everything is state-locked to avoid spamming.
Module 1 — Rasta (Structural Momentum Layer)
Goal: Identify structural momentum reversals and maintain a consistent, replayable backbone for study.
Method:
Compute an EMA of a chosen price source (default Close), and a smoothed version (SMA/EMA/RMA/WMA/None selectable).
Flip points occur when the EMA line crosses the smoothed line.
Optional EMA 8/21 trend filter can gate entries (long-bias when EMA8 > EMA21). A small “adaptive on flip” option lets an entry fire when the filter itself flips to ON and the EMA is already above the smoothed line—useful for trend resumption.
Why bar close only?
Bar-close Rasta gives a stable, auditable timeline for the structure of the trend. It teaches users to separate “structure” (close-resolved) from “energy” (intrabar, via RSI).
Visuals:
Fog between the lines (green/red) to show regime.
Rungs between lines to show spread (compression vs expansion).
Optional plotting of EMA8/EMA21 so users can see the gating effect.
Module 2 — RSI (Internal Strength / Energy Layer)
Goal: Reveal the intrabar strength/weakness that often precedes or confirms structural flips.
Method:
Standard RSI with adjustable length and signal smoothing for the panel view.
Logic uses wick-aware sources:
Entry trigger: RSI of LOW (same RSI length) touching or below a lower band (default 15). Think of it as intraband reactivation from the bottom, using the candle’s deepest excursion.
Exit trigger: RSI of HIGH touching or above an upper band (default 85). Think of it as exhaustion at the top, using the candle’s highest excursion.
Realtime + Close Backup: fires intrabar on tick, but if the realtime event was missed, the close backup will note it at bar end.
Cooldown control: optional bars-between-signals to avoid rapid re-triggers on choppy sequences.
Why wick-aware RSI?
A close-only RSI can miss the true micro-extremes that cause reversals. Using LOW/HIGH for triggers captures the behavior that traders actually react to during the bar, while the bar-close backup preserves historical reproducibility.
Module 3 — Pyramid (Continuation / Compounding Layer)
Goal: Teach how continuation behaves once a trend is underway, and how adds can be structured.
Method:
Same dual-line logic as Rasta (EMA vs smoothed EMA), but only fires when already in a position (or after prior entry conditions).
Supports the same EMA 8/21 filter and optional adaptive-on-flip behavior.
Bar close only to maintain historical cohesion.
What it teaches:
Adds tend to cluster when momentum persists.
Students can experiment with add spacing and compare “one-shot entries” vs “laddered adds” during strong regimes.
How the Pieces Work Together
Rasta establishes the structural frame (when the wave flip is real enough to record at close).
RSI validates or challenges that structure by tracking intrabar energy at the extremes (low/high touches).
Pyramid shows what sustained continuation looks like once (1) and (2) align.
This produces a layered view: Structure → Energy → Progression. Users can see when all three line up (strongest phases) and when they diverge (riskier phases or transitions).
How to Use It (Step-by-Step)
Quick Start
Apply script to any symbol/timeframe.
In Strategy/Indicator Properties:
Enable On every tick (recommended).
If available, enable Using bar magnifier and choose a lower resolution (e.g., 1m) to simulate intrabar fills more realistically.
Keep On bar close unchecked if you want to observe realtime logic in live charts (strategies still place orders on close by platform design).
Default behavior: Rasta & Pyramid = bar close; RSI = per tick with close backup.
Reading the Chart
Watch for Rasta Entry/Exit labels: they define clean structural turns on close.
Watch RSI Entry (LOW touch at/below lower band) and RSI Exit (HIGH touch at/above upper band) to gauge internal energy extremes.
Pyramid Add labels reveal continuation phases once a move is already in progress.
Tuning
Rasta smoothing: choose SMA/EMA/RMA/WMA or None. Higher smoothing → later but cleaner flips; lower smoothing → earlier but choppier.
RSI bands: a common educational setting is 15/85 for strong extremes; 20/80 is a bit looser.
Cooldown: increase if you see too many RSI re-fires in chop.
EMA 8/21 filter: toggle ON to study “trend-gated” entries, OFF to study raw momentum flips.
Backtesting Notes (for Strategy Builds)
Stops (optional): trail is armed when price advances by a trigger (default D–F₀), ratchets only upward from HIGH, and hits from LOW (or Close if chosen) with a tiny undershoot buffer to avoid micro-wicks.
Order sequencing per bar (mirrors the script’s code comments):
Trail ratchet via HIGH
Intrabar stop hit via LOW/CLOSE → immediate close
If still in position at bar close: process exits (Rasta/RSI)
If still in position at bar close: process Pyramid Add
If flat at bar close: process entries (Rasta/RSI)
Platform reality: strategies place orders at bar close in historical testing; the intrabar logic improves realism for stops and event marking but final order timestamps are still close-resolved.
Inputs Reference (common)
Modules: enable/disable RSI and Pyramid learning layers.
Rasta: EMA length, smoothing type/length, EMA8/21 filter & adaptive flip, fog opacity, rungs on/off & limit.
RSI: RSI length, signal MA length (panel), Entry band (LOW), Exit band (HIGH), cooldown bars, labels.
Pyramid: EMA length, smoothing, EMA8/21 filter & adaptive adds.
Execution: toggle Bar Close Only for Rasta/Pyramid; toggle Realtime + Close Backup for RSI.
Stops (strategy): Fixed Stop % (first), Fixed Stop % (add), Trail Distance %, Trigger rule (auto D–F₀ or custom), undershoot buffer %, and hit source (LOW/CLOSE).
What to Study With It
Convergence: how often RSI-LOW entry touches precede the next Rasta flip.
Divergence: cases where RSI screams exhaustion (HIGH >= upper band) but Rasta hasn’t flipped yet—often transition zones.
Continuation: how Pyramid adds cluster in strong moves; how spacing changes with smoothing/filter choices.
Regime changes: use EMA8/21 filter toggles to see what happens at macro turns vs chop.
Limitations & Scope
This is a learning tool, not a trade copier. It does not provide financial advice or automated execution.
Intrabar results depend on data granularity; bar magnifier (when available) can help simulate lower-resolution ticks, but true tick-by-tick fills are a platform-level feature and not guaranteed across all symbols.
Suggested Publication Settings (Strategy)
Initial capital: 100
Order size: 100 USD (cash)
Pyramiding: 10
Commission: 0.25%
Slippage: 3 ticks
Recalculate: ✓ On every tick
Fill orders: ✓ Using bar magnifier (choose 1m or similar); leave On bar close unchecked for live viewing.
Educational License
Released under the Michael Culpepper Gratitude License (2025).
Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
