RSI Momentum SignalRSI Momentum Signal is a technical analysis indicator designed to highlight potential momentum-based reversal points using the Relative Strength Index (RSI).
This script combines short-term RSI momentum behavior with basic candle structure to visualize possible bullish and bearish reaction zones directly on the chart.
How It Works
A fast RSI-based momentum calculation is used to color price bars when short-term momentum reaches extreme levels.
Buy and Sell signals are generated when momentum conditions align with RSI overbought or oversold levels and basic candle direction.
All signals are plotted visually on the chart to support discretionary analysis.
Intended Use
This indicator is not a standalone trading system.
It is designed to be used as a supportive analytical tool together with other technical analysis methods such as trend structure, price action, and support/resistance levels.
Disclaimer
This script does not provide financial advice and does not guarantee any trading results.
All trading decisions remain the sole responsibility of the user.
Use this indicator for educational and analytical purposes only.
Volatilidade
DEMA Volatility SuperTrend | RakoQuantDEMA Volatility SuperTrend is a clean trend-regime indicator built for volatile markets such as crypto.
It combines a Double Exponential Moving Average (DEMA) baseline with a standard deviation volatility envelope, then applies classic SuperTrend trailing logic to produce persistent bullish and bearish regimes.
This tool is designed for traders who want a smooth but responsive trend structure without relying on ATR alone.
Core Concept
This indicator answers one simple question:
Are we currently in a bullish trend regime or a bearish trend regime?
It does this by building a dynamic volatility corridor around a DEMA baseline and flipping only when price breaks beyond the active band.
How It Works
1. DEMA Baseline (fast + low lag)
A DEMA is used instead of a normal EMA to reduce lag while maintaining smooth trend behavior.
2. Volatility Engine (Standard Deviation)
Volatility bands are created using:
Raw Source Volatility
Classic standard deviation behavior
Residual vs Baseline Volatility
Measures deviations from the DEMA baseline for cleaner regime detection
Band formula:
Upper Band = baseline + multiplier × stdev
Lower Band = baseline − multiplier × stdev
3. SuperTrend Trailing Regime Logic
Instead of flipping every touch, the bands trail using SuperTrend persistence rules:
Bull regime → active lower band acts as support
Bear regime → active upper band acts as resistance
Flips occur only when price breaks beyond the trailing band.
Visual System
Bull regime: Ice-Blue active band
Bear regime: Violet active band
Optional faint inactive bands provide structure
Optional fill highlights the active regime corridor
Optional candle painting matches the regime state instantly
Alerts Included
Bull Flip Alert → regime turns bullish
Bear Flip Alert → regime turns bearish
Perfect for automation or regime-based filtering.
How to Use
✅ Trend filter for swing trading
✅ Regime confirmation layer for systems
✅ Works best on higher timeframes (4H / 1D)
✅ Combine with momentum or breakout triggers for entries
Inputs Summary
DEMA Length → baseline responsiveness
Volatility Length + Multiplier → band width + sensitivity
Volatility Mode → raw vs residual volatility
Flip Source → Close or HL2 for regime switching
Visual toggles → fill, candles, inactive rails
Screenshot Placement
📸 Example chart / screenshot:
Tip: show one bullish flip + one bearish flip with candle painting enabled.
CPR OI Toolkit - All in one indicatorThis is experimental indicator which is an extend my pre triple EMA indicator. I have been using this indicator to identify potential entry and exit for commodity market. I had used it for couple of week and it helps.
I would like to share with you. It is meant identify and analyze then plan your trade. I have developed this indicator using Google Antigravity , which is an awesome tool for developing trading indicator and strategies.
My CPR OI tool kit includes following.
Triple EMA
Stochastic - for trend catching
Previous Low/high base trial and visual indication
Price action concepts
Reversion logic.
Visual indication - buy / sell / setup initialization / exit
Visual dashboard.
---
## 🎨 Visual Signal Guide
| Marker | Meaning | Action |
|--------|---------|--------|
| 🔵 Tiny Blue Circle | Stochastic bullish setup START | Wait for EMA + breakout |
| 🟢 Green Triangle UP | **LONG ENTRY** - All conditions met | **ENTER LONG** |
| 🔴 Red Triangle DOWN | **SHORT ENTRY** | **ENTER SHORT** |
| 🟠 Orange Circle | **EXIT** - EMA1/2 cross | **CLOSE POSITION** |
| 💧 Aqua "R" | Mean reversion long | Scalp opportunity |
| 💜 Fuchsia "R" | Mean reversion short | Scalp opportunity |
---
## 💰 Open Interest Interpretation
| Status | Price vs Prev | OI Change | Meaning |
|--------|---------------|-----------|---------|
| **Long Accumulation**🟢 | ↑ | ↑ | Bulls building positions |
| **Short Accumulation**🔴 | ↓ | ↑ | Bears building positions |
| **Short Covering**🟡 | ↑ | ↓ | Bears exiting (bullish) |
| **Long Unwinding**🟠 | ↓ | ↓ | Bulls exiting (bearish) |
---
## 🔔 Alerts (All Enabled by Default)
1. "LONG Signal | Stochastic confirmed | EMA Bullish"
2. "SHORT Signal | Stochastic confirmed | EMA Bearish"
3. "EMA Alignment: BULLISH/BEARISH"
4. "Position CLOSED - Trailing Stop Hit"
---
Worldclassedge [Patrick nill]plotshape(long, title="BUY", text="Long▲", style=shape.labelup, textcolor=color.white, size=size.auto, location=location.belowbar, color=color.green)
plotshape(short, title="SELL", text="Short▼", style=shape.labeldown, textcolor=color.white, size=size.auto, location=location.abovebar, color=color.red)
alertcondition(long, title="BUY", message="Long▲")
alertcondition(short, title="SELL", message="Short▼")
// VWAP
anchor = input.string("Session", title="Anchor Period")
MILLIS_IN_DAY = 86400000
dwmBarTime = timeframe.isdwm ? time : request.security(syminfo.tickerid, "D", time)
dwmBarTime := na(dwmBarTime) ? nz(dwmBarTime ) : dwmBarTime
var periodStart = time - time
makeMondayZero(dayOfWeek) => (dayOfWeek + 5) % 7
isMidnight(t) => hour(t) == 0 and minute(t) == 0
isSameDay(t1, t2) => dayofmonth(t1) == dayofmonth(t2) and month(t1) == month(t2) and year(t1) == year(t2)
isOvernight() => not (isMidnight(dwmBarTime) or request.security(syminfo.tickerid, "D", isSameDay(time, time_close), lookahead=barmerge.lookahead_on))
tradingDayStart(t) => timestamp(year(t), month(t), dayofmonth(t), 0, 0)
numDaysBetween(t1, t2) =>
diff = math.abs(tradingDayStart(t1) - tradingDayStart(t2))
diff / MILLIS_IN_DAY
tradingDay = isOvernight() ? tradingDayStart(dwmBarTime + MILLIS_IN_DAY) : tradingDayStart(dwmBarTime)
isNewPeriod() =>
var isNew = false
if tradingDay != nz(tradingDay )
isNew := switch anchor
"Session" => na(tradingDay ) or tradingDay > tradingDay
"Week" => makeMondayZero(dayofweek(periodStart)) + numDaysBetween(periodStart, tradingDay) >= 7
"Month" => month(periodStart) != month(tradingDay) or year(periodStart) != year(tradingDay)
"Year" => year(periodStart) != year(tradingDay)
=> false
isNew
srcVWAP = hlc3
var float sumSrc = 0
var float sumVol = 0
if isNewPeriod()
periodStart := tradingDay
sumSrc := 0
sumVol := 0
if not na(srcVWAP) and not na(volume)
sumSrc += srcVWAP * volume
sumVol += volume
vwapValue = sumSrc / sumVol
plot(vwapValue, title="VWAP", color=color.red, linewidth=3)
// =
enableCloud = input.bool(false, "Enable Cloud")
lenn = input.int(20, "Period")
mult = input.float(2.5, "StdDev Multiplier")
tc = input.int(25, "Gauge Size", minval=3)
upColor = input.color(#00ffbb, "Up Color")
downColor = input.color(#ff1100, "Down Color")
basis = ta.sma(close, lenn)
upper1 = basis + ta.stdev(close, lenn) * mult
lower1 = basis - ta.stdev(close, lenn) * mult
// TP
var int position = 0
if long
position := 1
else if short
position := -1
STDV Extension Zones from Daily Open - OnlyFlowSTDV Extension Zones from Daily Open
This indicator plots standard deviation extension zones based on the current day’s opening price. At the start of each trading day, it calculates the daily standard deviation using a configurable lookback and projects price zones at ±0.5 and ±1.0 standard deviations above and below the daily open.
Each zone is displayed as a horizontal band with a center line and a customizable thickness, extending forward throughout the session. Zones automatically reset and lock in place when a new day begins, preserving prior sessions for historical context.
The indicator is designed to visually highlight statistically significant price extensions relative to the daily open, helping users quickly identify areas where price may be stretched, balanced, or reacting around volatility-based levels.
Std Dev Channel [fmb]What it is
A professional regression channel that combines standard deviation divisions, an extreme price envelope, and a trend quality gauge. It is designed for fast read-and-act decisions on any timeframe, with sensible presets and log-space math for instruments that trend exponentially.
Why it’s different
Most channels draw fixed ±1σ and ±2σ around a regression line. This tool adds:
- Fibonacci-spaced σ divisions for precise scaling
- An objective MaxEnvelope of actual extremes with optional 1.272 and 1.618 extensions
- Pearson’s R labelling that classifies the trend as Strong Up, Moderate, Weak, or Strong Down
- A log-space option so channels behave correctly on long trends and high beta charts
How it works
Base line
- Linear regression of the last Length bars, drawn as a ray.
- Optional colour change by regime using Pearson’s R.
Divisions (StdDev or MaxEnvelope)
- StdDev basis: σ of residuals around the regression line.
- MaxEnvelope basis: distances from the base line to the farthest highs and lows in the lookback.
- Divisions can be Fibonacci multiples (0.382, 0.618, 1.000, 1.272 by default) or uniform steps.
Outer rails
- ENV 1.0 touches the farthest highs and lows within the window.
- Optional extensions at 1.272 and 1.618 highlight stretch and breakout zones.
Trend quality (Pearson’s R)
- R is computed on the same series and window.
- Default thresholds: Strong when |R| ≥ 0.70, Weak when |R| < 0.40.
- The label reads: R 0.XXX • Class, plotted near the most recent base value.
Log-space math
- When enabled, the model runs on ln(price) and converts the outputs back to price.
- Safer on multi-year charts and large percentage trends.
Presets
- Swing: Length 125, StdDev basis, Fib divisions, ENV 1.0 and 1.272 on
- Intraday: Length 240, StdDev basis, simple ±1 and ±2 style divisions, ENV off by default
- Position: Length 200, StdDev basis, compact Fib set for higher timeframes
You can turn preset overrides off to make every input respond instantly.
Inputs you will actually use
- Length, Source, Log-space ON or OFF
- Basis: StdDev or MaxEnvelope
- Divisions: Fib list or Step and Max multiple
- Outer rails: show ENV 1.0, show 1.272, show 1.618
- Labels and sizes, extend left or right
- Hide divisions or outer rails automatically when the regime is Weak
Alerts included
- Close crosses above or below ENV 1.0
- Close crosses above or below ENV 1.272 and 1.618 (if enabled)
Practical playbook
Trend following
- In Strong Uptrend: buy pullbacks near 0.382 to 0.618 above the base with stops just beyond the next lower division.
- In Strong Downtrend: sell bounces into 0.382 to 0.618 below the base with stops just beyond the next upper division.
Mean reversion
- When R is Moderate or Weak, fade moves that tag ENV 1.0 back toward the base.
- If price closes through an ENV extension, treat it as potential regime change and stand down on fades.
Breakouts
- A close through ENV 1.0 with R rising toward Strong often precedes trend acceleration.
- Use the next division or the 1.272 rail as the first target and trail on the base.
Tips
- Keep Length stable across symbols you compare. Consistency beats curve fitting.
- Use log-space on multi-year equities and crypto. Use linear for short intraday work.
- If you want a classic look, disable Fib and rails, set Step 1.0 and Max 2.0.
Notes
- The tool draws more lines when Fib divisions are active. If it feels busy, show divisions only and hide labels, or keep ENV 1.0 plus one extension.
- Pearson’s R is descriptive, not predictive. Combine with price structure and volume for entries.
ATR Deviation Sigmoid Oscillator# ATR Sigmoid Volatility Regime Oscillator
## What This Indicator Does
The **ATR Sigmoid Volatility Regime Oscillator** is a volatility-regime detection tool designed to answer a single, critical question:
> *Is the market currently in a low-volatility or high-volatility regime—relative to its own recent behavior?*
Instead of using raw volatility values, this indicator **contextualizes volatility** by comparing the current ATR (Average True Range) to its own historical baseline and then mapping that deviation into a bounded, interpretable scale.
---
## How It Works (Conceptual)
1. **ATR Calculation**
The indicator starts with the standard ATR, which measures market volatility without direction.
2. **Baseline via EMA**
An EMA of ATR is used as a dynamic volatility baseline. This adapts to changing market conditions instead of relying on static thresholds.
3. **Relative Deviation**
The difference between ATR and its EMA represents how "unusual" current volatility is relative to its recent history.
4. **Normalization**
This deviation is normalized using ATR’s own dispersion, ensuring comparability across assets and timeframes.
5. **Sigmoid Transformation (0–100)**
A sigmoid function maps the normalized value into a **bounded 0–100 oscillator**, producing:
* Stability at extremes
* Smooth regime transitions
* No unbounded spikes
---
## How to Read the Oscillator
* **Above 50 (Green)**
High-volatility regime. Momentum strategies, breakout logic, and wider risk parameters tend to perform better.
* **Below 50 (Red)**
Low-volatility regime. Mean-reversion, range trading, and tighter risk controls are generally more appropriate.
* **The 50 Level**
Acts as a *volatility regime boundary*, not a buy/sell signal.
This indicator is **not directional**. It is a *context filter*.
---
## What This Indicator Is Best Used For
* Enabling/disabling strategies based on volatility regime
* Filtering false signals in low-volatility environments
* Position sizing and stop-distance adaptation
* Multi-asset volatility comparison using a common scale
---
## What This Indicator Is NOT
* ❌ Not a buy or sell signal
* ❌ Not a trend indicator
* ❌ Not predictive on its own
It is designed to be used **in combination with price, trend, or momentum logic**.
---
## Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument. Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for any trading decisions you make using this tool.
---
## Like This Indicator?
If you find this volatility regime tool useful:
* ⭐ **Add it to your favorites**
* 💬 **Leave a comment or feedback** — suggestions are welcome
* 👤 **Follow for future updates and new quantitative tools**
Your support helps improve and refine this work.
---
*Designed with a quantitative, regime-based approach to market analysis.*
Volume + ATR Robust Z-Score Suite (MAD)Plots relevant volume with relevant volatility using z-core to calculta de deviations
ST | ATR Trailing StopA precise volatility-based Trailing Stop designed for momentum trading. This indicator helps remove emotional decision-making from exits by trailing the price based on the Average True Range (ATR).
Volatility Heatmap & ATR Pane# Volatility Heatmap & Synchronized ATR Pane
This indicator provides a comprehensive view of multi-symbol volatility, displaying a dynamic heatmap table and a synchronized ATR (Average True Range) panel. It is designed to help traders identify periods of abnormal market activity or "volatility squeezes" across multiple assets simultaneously.
## Methodology & Calculation:
The core metric of this tool is **Relative Volatility (Rel. Vol %)**. It compares the current ATR to its historical baseline to determine if the current price movement is expanding or contracting relative to the norm.
The calculation logic is as follows:
1. **ATR Calculation:** We calculate the ATR over a user-defined period (default is 14).
2. **Baseline SMA:** We calculate a Simple Moving Average of that ATR (default is 50).
3. **Relative Percentage:**
$$Rel. Vol \% = (Current ATR / SMA(ATR)) * 100$$
## Key Features:
* **Multi-Symbol Dashboard:** Monitor up to 10 custom symbols (e.g., BINANCE:BTCUSDT, BINANCE:ETHUSDT) in a single table.
* **No-Repaint MTF Logic:** Uses `request.security()` with `lookahead = barmerge.lookahead_off` to ensure data integrity and prevent any historical rewriting.
* **Dynamic Status Alerts:**
* **SLEEPING (<70%):** Extremely low volatility.
* **NORMAL (100-130%):** Standard market movement.
* **EXTREME (>200%):** Significant volatility spike, often preceding trend exhaustion or breakouts.
* **Synchronized Pane:** The bottom panel displays the raw ATR and its average for the chart's current symbol, perfectly aligned with the dashboard's timeframe.
## How to Use:
1. Add the script to your chart.
2. In the settings, input your preferred symbols under the "Symbols 1-10" section.
3. Use the "Volatility Timeframe" input to lock the calculation to a specific timeframe (e.g., 1D) or leave it empty to sync with your current chart.
4. Watch the "Rel. Vol %" column to spot assets that are starting to "wake up" (moving from Blue/Low to Green/Rising).
Ichimoku Bounce on Tenkan-Sen by YellowKumaIchimoku Bounce (Long/Short) on Tenkan-Sen by YellowKuma
Pure bounce signals off the Tenkan-sen • No MTF • No noise
🌊 What It Does
This indicator spots high-probability reversal zones where price reacts off the Tenkan-sen (9-period conversion line) — the fastest Ichimoku component acting as dynamic support/resistance.
✅ Long signal → Price bounces up from Tenkan-sen while trading above the cloud
✅ Short signal → Price rejects down from Tenkan-sen while trading below the cloud
✅ Kijun-sen is used only as a trend filter (Tenkan > Kijun for longs / Tenkan < Kijun for shorts) — never as a bounce level
✅ Zero MTF complexity — runs purely on your chart's native timeframe, no repainting
Signals appear as:
🟢 "L" label below the bar → Bullish Tenkan bounce
🔴 "S" label above the bar → Bearish Tenkan bounce
⏱️ Timeframe Matters — A Lot
This strategy shines on higher timeframes and struggles on low ones. Why?
📈 H4 / Daily / Weekly
→ Tenkan-sen aligns with real institutional pivot zones
→ Cloud represents weeks of consensus value — strong trend filter
→ Bounces carry momentum → larger winners, fewer whipsaws
📉 M5 / M15 / M30
→ Tenkan-sen reacts to micro-noise, not structure
→ Cloud too thin — price slices through easily
→ False bounces dominate → shallow moves, poor R:R
💡 Rule of thumb:
• Use H4 for swing entries
• Use Daily for core trend trades
• Keep a Weekly chart open to confirm macro trend (only trade bounces with the Weekly cloud)
• Avoid M15/M30 entirely — signal quality degrades sharply
⚙️ Settings (Simple & Clean)
• Tenkan-sen Period → 9 (standard) — shorter = more sensitive, longer = smoother
• Kijun-sen Period → 26 (standard) — trend filter only
• Senkou Span B Period → 52 (standard) — defines cloud thickness
• Show Long Bounces → Toggle ON/OFF
• Show Short Bounces → Toggle ON/OFF
Cloud colors:
🟢 Green fill → Bullish cloud (Senkou Span A > B)
🔴 Red fill → Bearish cloud (Senkou Span A < B)
🎯 How to Trade the Signals
1️⃣ Wait for confirmation
→ Never enter mid-bar. Wait for candle close beyond the Tenkan-sen.
2️⃣ Check cloud alignment
→ Longs only when price > cloud top
→ Shorts only when price < cloud bottom
3️⃣ Add price action confirmation (optional but recommended)
→ Bullish engulfing / hammer at Tenkan → stronger long signal
→ Bearish engulfing / shooting star at Tenkan → stronger short signal
4️⃣ Risk management
→ Stop-loss: 1–2 pips beyond bounce bar extreme OR 2×ATR(14)
→ Take-profit: Target Kijun-sen (near-term) or opposite cloud boundary (swing)
→ Minimum reward:risk = 1:3
5️⃣ Avoid these situations
→ Choppy markets (Tenkan/Kijun flat, cloud thin)
→ Major news events (FOMC, NFP) — volatility distorts Tenkan touches
→ Bounces within 15 pips of strong horizontal resistance/support against your direction
🔔 Alerts
Built-in alert conditions:
• "Long Bounce" → triggers when green "L" appears
• "Short Bounce" → triggers when red "S" appears
→ Right-click indicator → Add Alert → choose condition
💡 Pro Tips for TradingView Users
✨ Session timing: Avoid first 60 mins of London/NY open — volatility creates false Tenkan touches
✨ Combine with Weekly trend: Disable short signals when price > Weekly cloud (and vice versa)
✨ Less is more: Expect 2–5 high-quality signals per week on H4 — that's normal. Quality > quantity.
⚠️ Important
This is a price-structure tool, not a magic bullet.
Always:
• Respect the trend (trade bounces with the cloud, not against it)
• Use proper position sizing (0.5–1% risk per trade)
• Keep a trading journal — track which bounces worked and why
✨ Bottom Line
Pure. Simple. Effective.
By focusing only on Tenkan-sen bounces — and enforcing strict cloud alignment — this indicator cuts through noise and delivers clean reversal zones where institutions actually place orders.
Works best on H4 and higher.
Add it. Switch to H4. Trade the bounce. 🚀 @YellowKumo
Bollinger Bands + 5 Flexible MA [Ahorrador de Espacio]Description:
This "All-in-One" indicator combines classic Bollinger Bands with up to 5 fully customizable Moving Averages (MA) in a single script.
Designed specifically for traders who want to maximize their technical analysis setup without using up multiple indicator slots (ideal for Basic/Free plan users).
Key Features:
Bollinger Bands: Standard configuration (SMA 20, StdDev 2) with visual contact alerts (Triangles).
5 Independent Moving Averages:
Toggle On/Off: Activate only the lines you need.
Total Flexibility: Choose between SMA (Simple) or EMA (Exponential) for each individual line.
Customization: Full control over length, color, and line thickness.
Clean Interface: MAs 4 and 5 are disabled by default to keep your chart clean, but are ready to be activated in the settings.
How to Use:
Add the indicator to your chart.
Open the Settings (gear icon).
Select which MAs you want to display (e.g., SMA 200 for trend, EMA 9 for scalping).
Use at your own discretion as a confluence tool for trend and volatility.
Note: This script is a visualization tool. The band signals (triangles) indicate price touching the outer bands, which can signify either a potential reversal or trend continuation depending on the market context.
Adaptive Pullbacks ML v2.5Adaptive Pullbacks ML - Context-Aware Trend Trading
Overview
Adaptive Pullbacks ML is a sophisticated trend-following tool that solves the biggest problem in pullback trading: "Is this a dip to buy, or the start of a reversal?"
Unlike standard indicators that use fixed percentages or static moving averages, this script uses a 5-Dimensional k-Nearest Neighbors (k-NN) machine learning engine to learn the specific characteristics of successful pullbacks for the asset you are trading.
The 5-Dimensional ML Engine
The market is dynamic. A pullback depth that works in a low-volatility lunch session might fail during a high-volatility news event. This indicator tracks 5 key dimensions for every pullback:
Depth (ATR Normalized): How deep is the pullback relative to volatility?
Trend Slope: Is the trend steep (parabolic) or flat (grinding)?
ADX: How strong is the directional energy?
VWAP Distance: Is price extended or close to value?
Time of Day: Is this a morning drive or an afternoon fade?
When a new pullback occurs, the k-NN engine finds the 5 most similar historical events across these dimensions and predicts the probability of success.
Core Features
1. Fractal Normalization
The indicator speaks the language of ATR (Average True Range). It doesn't care if you trade the 15-second chart or the Daily chart. A "1.5 ATR Pullback" is a statistically comparable event across all timeframes, allowing for robust, scale-invariant analysis.
2. HTF Stats Bridge (Higher Timeframe Data)
You can trade on lower timeframes (e.g., 1-minute) while using statistics derived from higher timeframes (e.g., 15-minute). This ensures your signals are based on significant market structure, not microstructure noise.
3. Smart Zones
The indicator plots dynamic "Value Zones" based on learning:
Cyan Zone (Avg Depth): The "Sweet Spot". High probability bounce area.
Yellow Zone (Sigma): The "Extension". Price is stretching elastic limits.
Red Zone (Deep): The "Danger/Opportunity". Statistical anomaly.
4. PQS & k-NN Filters
Two layers of filtering protect your capital:
PQS (Probability Qualification Score): Based on raw win-rate of the zone.
k-NN Probability: Based on similarity to past winners.
Settings Guide
Stats Timeframe: The timeframe to learn from (Leave empty for Chart).
Trend/Trigger Settings: Define what constitutes a trend for your strategy.
k-Neighbors: Number of historical twins to compare (Default: 5).
Min PQS / k-NN: Thresholds for filtering weak signals.
Disclaimer: This tool is for educational purposes. Past performance of the k-NN engine does not guarantee future results.
Weekly IR Breakout SignalsInspired by XO (@Trader_XO) on CT for his trading strategy
and special thanks to REBO (@@R3BOOO) for putting it together in a cheat sheet and sharing it
contact me on X: @neuromancer0x
-------------------------------------------
Timeframe Recommendations:
1H chart - Day trading (5-10 signals/month)
4H chart - Swing trading (2-5 signals/month) ⭐ Best
Daily chart - Position trading (1-2 signals/month)
-------------------------------------------
When Signals Appear:
Monday: No signals (just setting up IR)
Tuesday-Friday: Watch for breakouts
Max 1 LONG + 1 SHORT per week (indicator enforces this)
-------------------------------------------
Risk Management:
Risk 0.5-1% per trade
Never risk more than 2% in one day
If 2 losses in a row → reduce size or pause
-------------------------------------------
🔔 Setting Up Alerts
Click "Create Alert" (⏰ icon)
Condition: Select "🟢 LONG Entry" or "🔴 SHORT Entry"
Alert name: "Weekly IR Signal"
Set to: "Once Per Bar Close"
Send to: Phone/Email/App
Adaptive ML VWAP v1.0Overview
Adaptive ML VWAP is a next-generation "Smart Indicator" that moves beyond static deviations (Standard Deviation). Instead of assuming market volatility is distributed normally (Bell Curve), this indicator uses a k-Nearest Neighbors (k-NN) machine learning engine to learn the specific volatility behavior of the asset you are trading.
It answers the question: "When price extends away from VWAP, how far does it actually go before reversing?"
The Adaptive ML Engine
This script features a 5-Dimensional ML Engine that tracks every major extension or pullback event. It records:
Deviation Depth (Normalized to ATR)
Trend Slope (Is the trend steep or flat?)
ADX (Trend Strength)
VWAP Deviation (Relative Position)
Time of Day (Session Context)
When a new setup occurs, the k-NN engine instantly searches its memory for the 5 most similar historical events and calculates the probability of success based on what happened last time.
Two Strategy Modes
You can toggle the logic to suit your trading style:
1. Mean Reversion Mode (Default)
"Fade The Move"
Goal: Catch price at an exhaustion point returning to VWAP.
Signal: Triggers when price touches a Smart Band and reverses back toward the center.
k-NN Learning: Learns which conditions favor a snap-back.
Best For: Ranging markets, Lunch hours, Choppy sessions.
2. Trend Following Mode
"Ride The Move"
Goal: Catch breakouts that are launching away from value.
Signal: Triggers when price breaks out of the Inner Band (1.0).
k-NN Learning: Learns which breakouts tend to extend to the Outer Bands.
Best For: Morning Drives, News Events, Strong Trends.
Visual Guide
The indicator uses a Dynamic Gradient system to visualize risk/reward:
Cyan Mist (0.5 - 1.0): The Value Zone. Noise area. Safe for trend entries.
Deep Cyan (1.0 - 2.0): The Trend Zone. Price is moving proactively.
Orange Glow (2.0 - 3.0): The Danger Zone. Price is statistically overextended. Reversals are highly probable here.
"Fractal" Math
Unlike standard indicators that break when you change timeframes, Adaptive ML VWAP uses Fractal Normalization.
A "2.0 Band" on a 15-second chart means the same statistical extreme as a "2.0 Band" on a 4-hour chart.
Auto-Adaptive Lookback: The indicator automatically boosts the ML memory (Lookback) on lower timeframes (seconds/minutes) where more noise requires larger sample sizes, ensuring robust predictions without manual tweaking.
Settings
Auto-Adapting Lookback: (Default: True) automatically increases Lookback to 100+ for seconds charts and 50+ for minute charts.
Lookback (Events): Manual override base value (Default: 100).
Strategy Mode: Toggle between Mean Reversion and Trend Following.
k-Neighbors: The number of similar past events to structurally compare (Default: 5).
Disclaimer: This tool is for educational purposes. Machine learning performance is dependent on market conditions and historical recursion.
[AboBassel] RS + RS.ROC + Inverted ATR (Unified Channel)
This is a multi-indicator channel tool combining Relative Strength (RS), RS Rate of Change (RS.ROC), and Inverted ATR Percentage (ATRP) into a single unified channel for clear visual trend analysis.
Features:
• All three lines are normalized into one visual channel with five distinctive threshold levels (Upper/Lower Curbs, Inner Bands, and Middle).
• RS , ATR , ROC Lines all are invertable for better follow up on trends
• RS.ROC period and timeframe are editable independently from RS.
• ATR time frame and lookback period are fully adjustable.
• Channel thresholds are fully editable. Lines can exceed upper/lower curbs, showing extreme conditions.
• Suitable for trend detection, swing trading, and risk assessment.
Usage Tips:
• Look for lines crossing bands or curbs for potential trade setups.
• Observe background color for overall market sentiment.
• Major blue arrows indicate strong shifts in trend direction.
Ideal For: Swing traders, trend followers, and advanced technical analysts who want combined momentum, volatility, and relative strength insights in a single chart.
Manual "Frozen" ATR Multi-Levels [Fixed Fibonacci Style]Overview
This tool is designed for traders who use ATR (Average True Range) to set their take-profit and stop-loss levels but are tired of standard ATR indicators that "wiggle" or move as volatility changes during the trade.
Unlike standard indicators, this tool behaves like a drawing tool (similar to a Fibonacci Retracement). You click your entry price once, input the current ATR value, and the script "freezes" 8 perfectly horizontal, dashed levels on your chart.
Key Features
Custom Entry Anchor: Click anywhere on the chart to set your "Open Price."
No-Wiggle Levels: Once placed, the lines stay perfectly straight, regardless of how the live ATR fluctuates.
Strategic Labels:
+1 to +5 ATR: Clear upside targets for scaling out.
-2 ATR STOP LOSS: Automatically labeled for disciplined risk management.
-3 ATR EMER STOP: A final "Emergency Stop" level for high-volatility events.
High Visibility: Heavy dashed lines with color-coded labels (Green for Profit, Red for Risk, Gray for Entry).
Fully Customizable: Toggle any level on/off to keep your chart clean.
How to Use
Note the current ATR value from your preferred timeframe.
Load this script and click your Entry/Open Price on the chart.
In the Settings box that appears, type the ATR value into the "Manual ATR Value" field.
VolumeX Candle Engine By GRID N GRITSWhat it is
Volume X Candle Engine is a price-action + volume system that converts raw candles into a clear control narrative — using candle anatomy, relative volume, and a buyer/seller control heatmap to show who’s actually in charge of price.
It’s built to answer one question fast:
Is this move real, or is it just noise?
Core Features
1) Volume-Weighted Candle Classification
Candles are evaluated in relative volume context, not isolation.
You immediately see:
high-participation candles (real intent)
low-participation candles (drift / chop)
volume spikes (events, stops, forced moves)
exhaustion vs continuation (same size candle, different meaning)
2) Candle Strength & Control Readout
Candle bodies vs wicks are combined with volume to identify:
Control candles → clean bodies, follow-through favored
Rejection candles → dominant wicks, failed attempts
Indecision candles → balance, no clear winner
Wicks tell the story. Volume tells whether the story matters.
3) Buyer / Seller Control Heatmap (Background)
A background heatmap visually shows who has control:
buyer-dominant zones
seller-dominant zones
fading control / transition areas
This lets you:
see trend pressure without staring at indicators
spot shifts in control before price fully reacts
instantly recognize when moves are being absorbed or supported
It’s contextual, not noisy — meant to support the candles, not override them.
4) “Decision Candle” Detection
The engine highlights candles that tend to matter most:
first break of structure
first failed reclaim
first control flip at key levels
These are your pay-attention moments, not random signals.
5) Trend vs Chop Filtering
Helps separate:
trend conditions → continuation more likely
chop conditions → fakeouts & whipsaws more likely
So you stop forcing trades in environments that punish impatience.
6) Momentum Shift & Fatigue Awareness
Detects early warning signs:
rising price + declining volume
repeated wick rejection at the same level
large candle with no follow-through
volume spikes after extended moves (climax risk)
This is about risk awareness, not prediction.
7) Reversal Risk Zones
Identifies areas where continuation becomes fragile:
extended runs with waning participation
heavy rejection inside control zones
control heatmap fading near prior structure
Not calling tops or bottoms — just showing when odds shift.
8) Lower-Timeframe Structure Clarity
On 5m / 15m / 30m:
clearer reads on who’s winning the fight
earlier clues of control shifts
better alignment with higher-timeframe structure
Lower TF doesn’t predict higher TF — it gives a glimpse into pressure.
9) Clean, Readable Visual Design
Designed for speed:
minimal noise
candle-first visuals
background heatmap for context
no cluttered dashboards or signal spam
StradihgyOverview
This is a structured intraday trading framework built around identifying when market conditions are actually worth participating in. Instead of forcing trades, the system is designed to engage when price behavior shows alignment, participation, and directional intent.
The goal is not signal volume. The goal is quality control.
Core Design
* Multi-layer confluence must align before a setup appears
* Filters are in place to reduce participation during unstable or inefficient price conditions
* Focuses on sustained movement rather than emotional spikes
* Context and structure are evaluated together, not in isolation
The framework behaves more like a decision engine than a traditional indicator.
Adaptive Participation
While the system is naturally selective, it is also built with adaptive engagement logic.
When market conditions become favorable such as clean structure, sustained flow, and strong participation, the model can be configured to increase trade frequency and take advantage of extended opportunity windows.
In quieter or less organized environments, it scales back automatically.
This allows traders to shift between:
Precision mode (high selectivity)
Opportunity mode (increased participation during strong conditions)
Trade Management Philosophy
Management is a defining component of the framework:
* Trades aim to capture efficient portions of movement
* Exposure is reduced when structure weakens or opposing pressure builds
* Exit logic is systematic and condition based
This keeps performance driven by process rather than hope.
Performance Style
Traders can expect:
* Structured setups during organized price action
* Lower noise compared to reactive indicators
* A process driven approach
* Stability focused trade behavior
The design prioritizes consistency mechanics over aggressive risk exposure.
Who This Fits
Best suited for traders who value:
* Rule based execution
* Context-aware setups
* Risk conscious participation
* A system that adapts instead of forcing trades
Closing Note
This is a process-first trading framework built around structure, control, and adaptability. It is designed to operate in real market conditions not idealized ones and can be tuned for both selectivity and opportunity expansion when conditions justify it.
Use responsibly alongside proper risk management. Not financial advice. Feel free to message me for access.
Nevorafx v4.1🎯 NEVORA FX — Now with GOLD SCALPING win rate 90+%
Still losing on XAUUSD?
We just upgraded Nevora FX with high-precision scalping signals for Gold ⚡
💎 What’s new?
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✅ Clear BUY / SELL signals
✅ Automatic TP & SL levels
✅ No repaint – real results
✅ Up to 91% win rate
Built for traders who want fast entries, clean exits, and consistency.
NWOG/NDOG + Quarterly Theory (Dark Theme)Description: NWOG/NDOG + Quarterly Theory (Integrated)
This indicator combines two powerful price action concepts into a single, cohesive tool designed for intraday and swing traders. By merging Opening Gaps with Time-Based Quarterly Theory, traders can identify high-probability institutional footprints and manipulation cycles on a single chart.
🌓 The Concept
This script bridges the gap between Static Price Levels (Opening Gaps) and Dynamic Time Windows (Quarterly Cycles). It allows you to see how price reacts to structural gaps during specific phases of the weekly market cycle (Accumulation, Manipulation, Distribution).
🚀 Key Features
1. NWOG & NDOG (New Week/Day Opening Gaps)
Based on ICT concepts, these gaps represent "true" institutional openings.
Automatic Gap Detection: Plots New Week (NWOG) and New Day (NDOG) gaps.
Consequent Encroachment (C.E.): Optional toggle to view the 50% equilibrium level of every gap.
Historical Tracking: Look back at previous gaps to find "Event Horizons" where multiple gaps overlap or align.
Dark Mode Optimized: Clean, high-contrast UI tailored for dark-themed terminals.
2. Quarterly Theory (Weekly Cycles)
Divides the trading week into four distinct "Quarters," each with a specific institutional objective:
Q1 (Monday): Accumulation – Defines the initial range.
Q2 (Tuesday): Manipulation – Features the "Judas Swing" and Fakeouts.
Q3 (Wednesday): Distribution – The primary trend expansion of the week.
Q4 (Thursday): Extension/Reversal – The final push or weekly profit-taking.
3. Confluence Tools
Weekly True Open: Highlights the Tuesday 00:00 opening price, a critical pivot for bullish or bearish bias.
Fakeout Detection: Identifies potential traps when price sweeps the Monday range but fails to hold, confirmed by VWAP and True Open confluence.
Monday Range Box: Automatically draws the high/low boundary of the first quarter.
🛠 How to Use
Identify the Bias: Use the Weekly True Open (Red Line). If price is above the True Open during Q3, look for long distribution.
Locate Liquidity: Look for NWOG/NDOG levels that sit just outside the Monday Range. These are prime targets for the Q2 Manipulation phase.
Entry Confluence: A "Fakeout" signal occurring at a New Day Opening Gap level provides a high-probability "SMT-style" or "Stop Run" entry.
⚖️ Credits & Original Authors
This script is a collaborative merge and refinement of existing institutional logic:
NWOG/NDOG Logic: Based on the framework by cryptonnnite.
Quarterly Theory Logic: Based on the Weekly Quarters/Time-Price theory.
Refinement: Optimized for standalone performance (library-free) and Dark Theme visibility.
Disclaimer: Trading involves significant risk. This tool is for educational purposes and should be used in conjunction with a complete trading plan.
