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
볼래틸리티
Volume + ATR Robust Z-Score Suite (MAD)Plots relevant volume with relevant volatility using z-core to calculta de deviations
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.
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).
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"
---
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.
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.
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
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.
VWAP Tension Bands + Osc Sigma Gap [MAXmks]Hello Traders,
This indicator started as an accident. I was building a different tool — a multi-metric dashboard — and added VWAP deviation as one of the components. I expected it to help catch falling knives. It didn't.
But I noticed something else. During cooling-off periods — when volatility fades and price just sits there, not really going anywhere — VWAP deviation on lower timeframes would start climbing quietly. And more often than not, a pullback followed. Sometimes a liquidity sweep first, then a pullback. I watched this pattern for months before deciding to build a dedicated tool around it, adding oscillator confirmation to filter the noise.
This is that tool.
The core idea
Markets act like a rubber band around VWAP — the further price stretches, the higher the tension. But raw deviation isn't enough. The real question: is momentum confirming the stretch, or lagging behind?
The σ-Gap captures when these two disagree — price pushed hard, but internals haven't caught up. That's where mean-reversion setups tend to appear.
The indicator tracks VWAP deviation across 2m / 5m / 15m simultaneously and compares it against a composite of momentum oscillators (Williams %R, CVD-based metrics). Signals require multi-timeframe consensus — no single timeframe can trigger alone.
Adaptive thresholds
What counts as "extreme" isn't fixed. Distance is measured in standard deviations (σ) , not pips or percentages — so the indicator adapts to volatility automatically. Thresholds scale with regime and historical distribution, adjusting to current market conditions in real time.
Two modes
Standard — adaptive thresholds, more signals. Good for active sessions and exploration.
High Precision — adds divergence confirmation from multiple oscillators (MFI, Delta RSI, CVD Z-Score). Fewer signals, higher selectivity.
Extreme Tension
When σ-Gap exceeds 1.6× the threshold, the indicator can fire without full confirmation. Rare, but these are the "overstretched" moments worth watching.
Filters (so you don't trade ghosts)
RVOL filter blocks signals during low activity. Session close filter avoids entries near VWAP reset. 24h volume filter skips illiquid instruments. Cooldown prevents signal clustering in the same direction.
Best use case
Built for short-term mean-reversion — quick snapback plays on 5m–15m charts where price overextends and reverts within a few candles. The engine is optimized for this rhythm, not for trend-following or swings.
On-chart
Tension Bands show dynamic threshold zones around VWAP. Signals are non-repainting and confirmed on bar close. Compact HUD displays all metrics, filter states, and signal status in real time.
Alerts
Pre-signal alerts when conditions start forming. Confirmed signal alerts with full breakdown: VWAP deviation values, σ-Gap readings, divergences detected, current mode.
Volume matters
This is a VWAP-based indicator. No volume data = no signal. If your instrument shows "No Volume" in the dashboard, switch to a data feed that provides it (crypto spot, futures, stocks with real volume).
A note on expectations
I use this logic in my own research and it has shown useful results for me in my backtesting scenarios. But this is an indicator for analysis , not a magic button. Your execution, fees, slippage, and market regime all matter. Treat signals as context, not commands. DYOR.
Feedback welcome.
For educational and analysis purposes only. Not financial advice.
Trading Halt DetectorThis is an indicator that plots RED square above or below the last candle when a trading halt occurs. Note that it only plots once the market resumes, not while it's being Halted.
It calculates the time between every candle. If there's more than 1 minutes from a candle to the next one, a red square is going to show.
For exemple, if you trade on the 1min time frame and a Halt up happens, it usualy takes 5 minutes for the market to resume. Since the resuming candle open 5 minutes later, a RED square is going to appear below the last candle before the HALT.
1. When a RED Square appears below the candle, it means that a HALT up occured.
2. When a RED Square appears above the candle, it means that a HALT down occured.
You may use this indicator on multiple time frames but it's been built for 1 to 4 minutes time frame. It' s possible to adjust the time tolerance that you consider being a halt. The default setting is 1 minutes more than the chosen time frame.
Adaptive AI SuperTrend [AlgoPoint]🚀 Adaptive AI SuperTrend
Adaptive AI SuperTrend is a high-performance trading terminal that redefines trend-following by integrating Machine Learning (ML) principles with advanced market regime detection. Unlike static indicators, this system dynamically recalibrates its internal parameters to match the ever-changing volatility of the financial markets.
Equipped with a custom "Wizard Engine," it filters out market noise during consolidation and identifies high-probability trend continuation points, making it an essential tool for scalpers, day traders, and swing traders alike.
🧠 What Makes it "AI"?
While traditional indicators use fixed rules, Adaptive AI SuperTrend utilizes Algorithmic Intelligence to make real-time decisions:
KNN-Inspired Adaptation: The engine analyzes the last 150 bars of volatility and trend strength to automatically adjust its sensitivity.
Market Regime Intelligence: It distinguishes between "Trending" and "Ranging" states using a sophisticated Squeeze Momentum module, preventing "whipsaws" during low-volume periods.
Self-Backtesting Logic: The indicator continuously calculates its own historical Win-Rate. If the probability of success falls below a certain threshold, it suppresses lower-quality signals.
🛠 Key Features
Dynamic Consolidation Boxes: Automatically identifies and wraps "choppy" price action in professional gray boxes. It waits for 3+ bars of consolidation before marking the zone, helping you spot breakout opportunities early.
Multi-Strategy Aggression:
- Conservative: Filtered signals for long-term trend following.
- Balanced: Optimized for daily volatility.
- Aggressive: High-frequency signals for capturing micro-trends.
Dual-Exit Risk Management:
- ATR TP-SL Mode: Sets mathematical targets based on market volatility with persistent on-screen lines.
- Smart Trailing Mode: Rides the trend to its exhaustion point. Includes intelligent labeling (🎯 TP or 🛑 SL) based on the trade's net profitability.
- RSI Pullback Confirmation: Beyond simple trend flips, it detects "buy the dip" or "sell the rip" opportunities within an existing trend using RSI 50-level crossovers.
📊 Real-Time Analytics Dashboard
The integrated AlgoPoint Dashboard provides a surgical view of the market:
- Market State: Instant "Trending" vs. "Ranging" (Consolidation) detection.
- Trend Strength: ADX-based momentum tracking.
- Strategy Status: Real-time feedback on your active aggression and exit modes.
🎨 Clean Charting & Customization
Built for professional clarity, you have total control over the UI:
Toggle Consolidation Boxes on/off.
Toggle ATR Target Lines and Exit Labels.
Customize background filters and dashboard visibility.
Laguerre Filter [BackQuant]Laguerre Filter
Overview
The Laguerre Filter is a powerful trend-following tool designed to smooth price action while maintaining responsiveness to market changes. It is based on the Laguerre recursive filter, which is a type of signal processing filter that adapts to both the current price dynamics and the underlying trend. The Laguerre Filter can be seen as a method to reduce market noise, enabling traders to more easily identify the strength and direction of trends while minimizing lag.
The Laguerre Filter is well-suited for markets with varying volatility levels, offering a smoother representation of price action without the delay associated with traditional moving averages. By dynamically adjusting to price movements, the Laguerre Filter provides a more adaptive and reliable signal compared to simpler smoothing techniques.
What is the Laguerre Filter?
The Laguerre Filter is derived from the Laguerre polynomial, which is used in signal processing for smooth filtering of data. The Laguerre filter is a recursive filter, meaning that each new value is calculated based on both the current price data and previous values, with a weighting system that allows it to adapt to market conditions. This recursive nature helps reduce the impact of short-term fluctuations, enabling the filter to focus on the underlying trend.
The Laguerre filter uses a feedback mechanism, where the input signal (price data) is smoothed iteratively. This iterative process helps avoid the lag that is typically associated with traditional moving averages while still capturing the overall trend direction.
The filter is designed to have:
Adaptive behavior: It reacts quickly to significant price changes while ignoring minor fluctuations.
Reduced noise: By filtering out random short-term price movements, it provides a clearer view of the underlying trend.
Customizability: Traders can adjust the filter’s sensitivity through user inputs, making it adaptable to different market conditions.
Core Calculation Methodology
The core of the Laguerre Filter lies in its recursive calculation:
Each new value is calculated using the previous value along with the current price input.
The recursive formula is governed by two key parameters: the damping factor (gamma) and the order of the filter (number of Laguerre elements).
The damping factor controls how responsive the filter is to changes in price. A higher gamma value makes the filter smoother but introduces more lag, while a lower gamma value makes it more reactive to price changes but can introduce more noise.
The order defines how many Laguerre elements are used in the calculation. A higher order results in a smoother output but with more delay, while a lower order provides a faster response but less smoothing.
The filter works by weighting previous values with a binomial weighting system, which assigns more weight to recent values and less weight to older values. This creates a dynamic smoothing effect that adapts to price volatility, ensuring that the filter is neither too slow nor too noisy.
Signal Logic and Trend Detection
The Laguerre Filter continuously evaluates the strength and direction of the trend by comparing the current smoothed value to the previous value:
If the current value is greater than the previous value, the trend is considered bullish, and the filter will signal a long condition.
If the current value is less than the previous value, the trend is considered bearish, and the filter will signal a short condition.
The trend detection logic is based on the recursive nature of the filter, which smooths price movements over time. This allows the filter to capture the broader trend while minimizing the influence of short-term price fluctuations.
The trend state is also visually represented by color-coding:
Green color represents an uptrend (bullish condition).
Red color represents a downtrend (bearish condition).
Neutral (white) indicates no clear trend direction.
This color-coding helps traders easily identify the prevailing trend and decide whether to enter or exit trades based on the trend's strength.
Laguerre Filter Behavior and Performance
The performance of the Laguerre Filter can be influenced by several factors:
Gamma (Damping Factor): A higher gamma value results in a smoother filter but increases lag. A lower gamma value allows for a faster response but may introduce more noise, making it more reactive to smaller price changes.
Filter Order: The order determines how many Laguerre elements are used in the filter calculation. A higher order provides more smoothing but increases lag, while a lower order results in a quicker response but less smoothing.
The sweet spot for gamma is typically between 0.7 and 0.85, where the filter offers a good balance between smoothness and responsiveness. The filter order is usually set to 4 for classic Laguerre filtering, but higher orders can be used for more smoothing if needed.
The Laguerre Filter’s performance shines in markets with sustained trends, where the filter can effectively capture and represent the underlying direction without excessive lag. It is particularly useful in volatile markets, as it helps smooth out noise while providing a clear picture of the trend.
Visual Presentation
The Laguerre Filter provides a dynamic, color-coded line that follows the trend direction. This line can be displayed alongside price data to visually highlight the market trend. In addition to the main Laguerre line, several visual enhancements can be applied:
Gradient fill between the price and the Laguerre Filter line, providing a visual cue for bullish or bearish market conditions.
Candle coloring to reflect the current trend, making it easier to spot trend reversals or confirmations directly on the chart.
Background shading to visually highlight areas of strong trend or consolidation.
Edge glow effect that highlights trend boundaries, making it easy to spot key levels of support or resistance.
These visual elements enhance the usability of the Laguerre Filter, allowing traders to quickly assess the market trend and make informed decisions.
Practical Use Cases
1) Trend Following
The Laguerre Filter is ideal for trend-following strategies. By using the filter to identify the prevailing trend, traders can:
Enter long positions when the Laguerre Filter turns bullish (green).
Enter short positions when the Laguerre Filter turns bearish (red).
By aligning trades with the dominant trend, traders can improve their chances of success.
2) Trend Strength Assessment
The Laguerre Filter can also be used to assess the strength of the trend:
A rising Laguerre value indicates a strengthening uptrend.
A falling Laguerre value indicates a strengthening downtrend.
A flattening Laguerre value signals weakening momentum or consolidation.
This information can be used to adjust position sizing or to decide when to enter or exit a trade.
3) Trade Management
The Laguerre Filter can also assist in trade management:
Use the Laguerre line as a trailing stop for long positions in an uptrend.
Scale out of positions as the Laguerre value begins to flatten or reverse.
Use the Laguerre Filter to avoid trades when the market is in consolidation or lacks a clear trend.
Tuning Guidelines
The Laguerre Filter can be adjusted for different market conditions using the following parameters:
Gamma (Damping Factor): Adjust for the desired level of responsiveness versus smoothness. Typical values range from 0.7 to 0.85.
Filter Order: Adjust to control the level of smoothing. The default value of 4 is a good starting point, but higher orders can be used for smoother filters.
Summary
The Laguerre Filter is a versatile and adaptive trend-following indicator that smooths price data and reduces noise, making it easier to identify and follow trends. By using recursive smoothing techniques and adjustable parameters, the Laguerre Filter provides an accurate representation of market conditions with minimal lag. It is especially useful in volatile markets where traditional moving averages may fail to capture the underlying trend. With its color-coded trend detection, gradient fills, and customizable settings, the Laguerre Filter is a powerful tool for traders looking to stay aligned with the prevailing market direction.
StealthFX Signals NavigatorThe StealthFX Signals Navigator is a high-performance trend-following suite designed for traders who demand institutional-grade clarity without the clutter. Inspired by the sleek aesthetics of premium toolkits like LuxAlgo, this indicator strips away the noise to provide a singular, high-probability "path of least resistance" for your trades.
🛡️ The Core Philosophy: "Trade with the Giant"
Most retail traders fail because they fight the primary trend. The Navigator solves this by using a 200-period EMA Filter.
Blue Signals (BUY): Only occur when price action is confirmed above the 200 EMA.
Purple Signals (SELL): Only occur when price action is confirmed below the 200 EMA.
🎯 Precision Entry & Risk Management
Stop guessing where to exit. The Navigator uses a volatility-adjusted ATR engine to calculate your targets the moment a signal prints.
Pip-Clamped Logic: To ensure trades remain realistic, the script automatically clamps your Stop Loss between 30 and 100 pips (with a hard safety cap at 200), making it ideal for Forex and Indices.
1:2 Risk-Reward: Every signal aims for a mathematical edge, setting a Take Profit (Blue Line) that is double the distance of your Stop Loss (Purple Line).
🧹 The "Clean Chart" Evolution
We believe a cluttered chart leads to a cluttered mind.
Smart-Hiding: Unlike standard indicators that leave old lines everywhere, the Navigator tracks price in real-time. The moment your TP or SL is touched, the lines vanish.
Signal Priority: The script resets with every new momentum shift, ensuring you are always looking at the most relevant trade setup.
🚀 Key Features
Modern Aesthetic: A sleek Neon Blue & Deep Purple theme designed for dark-mode enthusiasts.
Universal Scaling: Works across Forex, Crypto, and Stocks thanks to its "Mintick" sensitive calculation engine.
Zero Repaint: Signals confirm on the close of the bar, providing stable historical data for backtesting.
Integrated Alerts: Set-and-forget notifications for both Buy and Sell entries.
📈 How to Use
Identify the Bias: Watch the gray 200 EMA.
Execute: When a label appears, immediately set your limit orders at the displayed Blue (TP) and Purple (SL) levels.
Patience: Let the trade run. The lines will disappear automatically once the outcome is decided.
Best Timeframes: 15m, 1h, 4h. Best Assets: Major FX Pairs (EURUSD, GBPUSD), Gold (XAUUSD), and US Tech Indices.
VIX Regime Filter This tool classifies volatility regimes using the spot VIX relative to its own history.
It is designed as a context and risk filter for trend-following systems — not as a timing or signal tool.
Use it to adjust exposure and expectations across volatility environments.
ORB 369 - Opening Range Breakout The ORB 369 is a professional-grade momentum indicator designed to capture the volatility of the New York market open. While many Opening Range Breakout (ORB) scripts simply draw lines, this script integrates time-segmented price action with Supply and Demand (S/D) theory to filter out "fakeouts" and identify high-probability institutional entries.
💡 The Core Concept: Why 3-6-9?
The strategy is rooted in the "Market Open Volatility" principle. The first 15 minutes (9:30–9:45 AM EST) represent the period where institutional orders are processed and "price discovery" is most aggressive.
The Range: We define the 15-minute high and low as the "Battlefield."
The 369 Logic: This script focuses on the 3rd 5-minute candle of the session (completing the 15m range) and monitors the subsequent 5m and 15m cycles for a definitive trend shift.
🛠️ How It Works
The script utilizes Pine Script v6 high-precision time-tracking and state-handling to ensure accuracy even on historical data.
1. Dynamic Session Anchoring
Unlike static indicators, this script uses America/New_York timezone anchoring. It identifies the Opening Range (OR) regardless of your local time, ensuring you are aligned with the NYSE floor traders.
2. Supply & Demand Detection
The script doesn't just look at the high/low; it analyzes the micro-structure within that 15-minute window.
It identifies unmitigated zones (areas where price moved so fast it left "imbalances").
If a breakout occurs but price immediately hits an internal S/D zone, it warns the trader of a potential "Look Above and Fail" scenario.
3. Breakout Confirmation (5m Logic)
A common mistake is entering on a "wick." This script uses Closing Logic:
Bullish Signal: A 5-minute candle must close entirely above the 15m High.
Bearish Signal: A 5-minute candle must close entirely below the 15m Low.
The script then repaints the candle body (defaulting to Blue/Red) to provide an instant visual cue that the "Breakout is Confirmed."
📈 How to Use It
Wait for the Box: At 9:45 AM EST, the script will automatically lock in the High, Low, and Midpoint (Mean) of the range.
Monitor the Midpoint: The Midpoint acts as the "Line in the Sand." If a breakout occurs but price stays near the Midpoint, the trend is weak. If price stays in the upper half of the range, the Bullish bias is stronger.
The Entry: Wait for the Candle Color Change. A blue candle above the range suggests a long entry; a red candle below suggests a short.
Supply/Demand Zones: If the script highlights a "Demand Zone" at the bottom of the range and price bounces off it before breaking the top, this provides a "double-confluence" setup.
⚙️ Technical Features
Customizable Aesthetics: Use the Settings menu to change the breakout colors (Green/Blue/Red) to match your personal chart theme.
Smart Tooltips: Hover over the inputs in the settings to see detailed explanations of what each parameter does.
Alert Ready: Built-in alerts for "Bullish Breakout" and "Bearish Breakout" that can be sent directly to your phone or desktop via TradingView.
Zen Lab ALL-IN-ONE🧠 Zen Lab All-In-One Trading Toolkit
The Zen Lab All-In-One indicator is built for traders who want structure, confluence, and volatility awareness in one clean system — without cluttering their charts with 10 different tools.
This combines news awareness, ATR volatility planning, session levels, trend context, and execution checklists into a single professional trading assistant.
📰 Smart News Filter (Stay Out of Chaos)
The indicator automatically highlights only the news events that actually move markets:
🔴 High-Impact Economic Events
⚪ Market Holidays
No low-impact noise. No unnecessary distractions.
Just the events most likely to cause volatility spikes.
✔️ On-chart vertical news markers
✔️ Optional news table
✔️ Designed for intraday and session traders
📏 Customizable ATR Volatility Tool
Trade based on real market movement, not guesswork.
The built-in ATR table lets you:
• View current ATR
• Calculate stop loss distance using ATR multipliers
This helps you size trades based on conditions, not emotions.
📋 Confluence Checklist (Execution Discipline)
Stay consistent with your trading rules.
The on-chart checklist allows you to track your confluences before entering a trade, helping reduce impulsive decisions and reinforcing discipline.
Great for traders who follow a structured system.
📈 Moving Average Trend Context
Includes a built-in moving average to help you quickly identify current trend direction and market bias without adding extra indicators.
Perfect for confirming lower timeframe direction
🌍 Session High & Low Identifier
Know where the real liquidity is.
Automatically marks key session ranges so you can:
✔️ Spot session breakouts
✔️ Trade liquidity sweeps
✔️ Identify expansion from consolidation
Designed for London, New York, and Asian session strategies.
DCA + Martingale strategy.DCA + Martingale: smart synergy for volatile markets
Tame market swings with a powerful hybrid strategy that marries the discipline of Dollar‑Cost Averaging (DCA) with the aggressive recovery logic of the Martingale system. This approach turns price dips into opportunities — systematically building positions while keeping risk in check.
How it works:
1. Entry trigger
The strategy activates when the asset price drops by a predefined percentage on the 1‑hour timeframe. This ensures you only engage when a meaningful pullback occurs, avoiding premature entries.
2. DCA grid for controlled averaging
Once the entry condition is met, a grid of buy orders is deployed:
Each subsequent order is placed at progressively lower price levels (e.g., every 2–5% drop).
Order sizes can be fixed or follow a progressive scale (e.g., 1x, 1.5x, 2x the initial amount).
This dilutes your average entry price, improving the breakeven point as the market corrects.
3. Martingale‑style recovery mechanism
After each unsuccessful trade (i.e., price continues falling), the next position size is increased — not necessarily doubled, but scaled according to your risk tolerance. This accelerates recovery potential when the trend reverses.
4. Take‑profit with a fixed percentage target
A simple, predefined profit target (e.g., +3–7%) is set for the entire averaged position. Once hit, all open trades close, locking in gains. This prevents over‑exposure during uncertain reversals.
Key advantages
Psychological edge: removes emotional decision‑making by automating entries and exits.
Cost optimization: lowers average entry during downtrends, improving profit potential.
Controlled aggression: Martingale logic helps recoup losses faster without infinite scaling.
Flexibility: parameters (entry %, grid spacing, position sizing, TP) are fully customizable.
Risk management essentials
Stop‑loss safeguard: a hard stop‑loss (e.g., 10–15% below the lowest grid level) prevents catastrophic drawdowns in prolonged downtrends.
Position sizing: never risk more than 1–3% of capital per grid cycle.
Market context: best suited for assets with mean‑reverting behavior and moderate volatility. Avoid strong, sustained trends.
Capital buffer: ensure sufficient reserves to withstand multiple grid levels without margin calls.
When to use it
During sideways or range‑bound markets with regular pullbacks.
On assets with historical tendency to recover from short‑term dips.
When you expect a bounce but can’t pinpoint the exact bottom.
Bottom line
DCA + Martingale isn’t a «set‑and‑forget» miracle — it’s a disciplined framework for turning volatility into opportunity. Combine it with rigorous risk rules, and you’ll navigate downtrends with precision, turning market noise into structured profit potential.
