Lanxang Pin Bar Pro V.2How to use (step-by-step)
Mark context first
Draw your Supply/Demand zones and note HTF structure (H1).
Use the indicator as a price action confirmation at those POIs.
Wait for a pin bar at a level
Bullish pin: long lower wick rejecting demand; Bearish pin: long upper wick rejecting supply.
Ensure it prints within your session and passes ATR/shape filters.
Choose your entry style
Conservative: Enter on break of pin high (bull) / low (bear).
Aggressive (RR-optimized): Place a limit near the 50% retrace of the pin bar (you removed lines, so measure the midpoint quickly: (High+Low)/2 from the data box).
Place stop
Beyond the wick + small buffer (e.g., 10–20 pts on XAUUSD M5–M15).
Keep SL reasonable (≤ ~1–1.2× ATR of your entry TF).
Targets & management
T1 = 1R, take partial, move to BE after structure break or at 1R depending on volatility.
T2 at the next opposing SD zone, prior swing, or session high/low.
Let a small runner trail via swing highs/lows if trend is strong.
Risk
Keep risk fixed % (e.g., 1%) per trade. Your math is already RR-driven—perfect for journaling and expectancy.
Recommended defaults (XAUUSD, M5–M30)
Min Wick : Body Ratio = 2.0–2.5
Max Body / Range = 0.30–0.35
Min Range as ATR multiple = 0.8–1.0
HTF = 60 min; EMAs = 50/200
Sessions = London core + NY open
Alerts
Turn on alerts for Bullish Pin Bar / Bearish Pin Bar (and optionally “Entry Trigger” if you use it).
Use them to route to your phone or EA bridge (you already use webhook flows).
Pro tips (fits your SMC style)
Prefer pins that sweep liquidity (wick pokes above equal highs / below equal lows) and close back inside your zone.
Extra confluence: FVG edge, HTF OB boundary, or daily/weekly high/low.
Skip mid-range pins with no level.
Track R results in your journal to monitor expectancy.
Analizy Trendu
Weekly Fibonacci Pivot Levelsthis indicator in simple ways, draw the weekly fibo zones based on calculations
weekly zones are drawn automatically based on previous week, and are updated once a new week is opened
you can use it the way you like or adapt to your trading strategy
i really use it at extremes and when a divergence is occurring in these zones
Cumulative Returns by Session [BackQuant]Cumulative Returns by Session
What this is
This tool breaks the trading day into three user-defined sessions and tracks how much each session contributes to return, volatility, and volume. It then aggregates results over a rolling window so you can see which session has been pulling its weight, how streaky each session has been, and how sessions relate to one another through a compact correlation heatmap.
We’ve also given the functionality for the user to use a simplified table, just by switching off all settings they are not interested in.
How it works
1) Session segmentation
You define APAC, EU, and US sessions with explicit hours and time zones. The script detects when each session starts and ends on every intraday bar and records its open, intraday high and low, close, and summed volume.
2) Per-session math
At each session end the script computes:
Return — either Percent: (Close−Open)÷Open×100(Close − Open) ÷ Open × 100(Close−Open)÷Open×100 or Points: (Close−Open)(Close − Open)(Close−Open), based on your selection.
Volatility — either Range: (High−Low)÷Open×100(High − Low) ÷ Open × 100(High−Low)÷Open×100 or ATR scaled by price: ATR÷Open×100ATR ÷ Open × 100ATR÷Open×100.
Volume — total volume transacted during that session.
3) Storage and lookback
Each day’s three session stats are stored as a row. You choose how many recent sessions to keep in memory. The script then:
Builds cumulative returns for APAC, EU, US across the lookback.
Computes averages, win rates, and a Sharpe-like ratio avgreturn÷avgvolatilityavg return ÷ avg volatilityavgreturn÷avgvolatility per session.
Tracks streaks of positive or negative sessions to show momentum.
Tracks drawdowns on cumulative returns to show worst runs from peak.
Computes rolling means over a short window for short-term drift.
4) Correlation heatmap
Using the stored arrays of session returns, the script calculates Pearson correlations between APAC–EU, APAC–US, and EU–US, and colors the matrix by strength and sign so you can spot coupling or decoupling at a glance.
What it plots
Three lines: cumulative return for APAC, EU, US over the chosen lookback.
Zero reference line for orientation.
A statistics table with cumulative %, average %, positive session rate, and optional columns for volatility, average volume, max drawdown, current streak, return-to-vol ratio, and rolling average.
A small correlation heatmap table showing APAC, EU, US cross-session correlations.
How to use it
Pick the asset — leave Custom Instrument empty to use the chart symbol, or point to another symbol for cross-asset studies.
Set your sessions and time zones — defaults approximate APAC, EU, and US hours, but you can align them to exchange times or your workflow.
Choose calculation modes — Percent vs Points for return, Range vs ATR for volatility. Points are convenient for futures and fixed-tick assets, Percent is comparable across symbols.
Decide the lookback — more sessions smooths lines and stats; fewer sessions makes the tool more reactive.
Toggle analytics — add volatility, volume, drawdown, streaks, Sharpe-like ratio, rolling averages, and the correlation table as needed.
Why session attribution helps
Different sessions are driven by different flows. Asia often sets the overnight tone, Europe adds liquidity and direction changes, and the US session can dominate range expansion. Separating contributions by session helps you:
Identify which session has been the main driver of net trend.
Measure whether volatility or volume is concentrated in a specific window.
See if one session’s gains are consistently given back in another.
Adapt tactics: fade during a mean-reverting session, press during a trending session.
Reading the tables
Cumulative % — sum of session returns over the lookback. The sign and slope tell you who is carrying the move.
Avg Return % and Positive Sessions % — direction and hit rate. A low average but high hit rate implies many small moves; the reverse implies occasional big swings.
Avg Volatility % — typical intrabars range for that session. Compare with Avg Return to judge efficiency.
Return/Vol Ratio — return per unit of volatility. Higher is better for stability.
Max Drawdown % — worst cumulative give-back within the lookback. A quick way to spot riskiness by session.
Current Streak — consecutive up or down sessions. Useful for mean-reversion or regime awareness.
Rolling Avg % — short-window drift indicator to catch recent turnarounds.
Correlation matrix — green clusters indicate sessions tending to move together; red indicates offsetting behavior.
Settings overview
Basic
Number of Sessions — how many recent days to include.
Custom Instrument — analyze another ticker while staying on your current chart.
Session Configuration and Times
Enable or hide APAC, EU, US rows.
Set hours per session and the specific time zone for each.
Calculation Methods
Return Calculation — Percent or Points.
Volatility Calculation — Range or ATR; ATR Length when applicable.
Advanced Analytics
Correlation, Drawdown, Momentum, Sharpe-like ratio, Rolling Statistics, Rolling Period.
Display Options and Colors
Show Statistics Table and its position.
Toggle columns for Volatility and Volume.
Pick individual colors for each session line and row accents.
Common applications
Session bias mapping — find which window tends to trend in your market and plan exposure accordingly.
Strategy scheduling — allocate attention or risk to the session with the best return-to-vol ratio.
News and macro awareness — see if correlation rises around central bank cycles or major data releases.
Cross-asset monitoring — set the Custom Instrument to a driver (index future, DXY, yields) to see if your symbol reacts in a particular session.
Notes
This indicator works on intraday charts, since sessions are defined within a day. If you change session clocks or time zones, give the script a few bars to accumulate fresh rows. Percent vs Points and Range vs ATR choices affect comparability across assets, so be consistent when comparing symbols.
Session context is one of the simplest ways to explain a messy tape. By separating the day into three windows and scoring each one on return, volatility, and consistency, this tool shows not just where price ended up but when and how it got there. Use the cumulative lines to spot the steady driver, read the table to judge quality and risk, and glance at the heatmap to learn whether the sessions are amplifying or canceling one another. Adjust the hours to your market and let the data tell you which session deserves your focus.
Zarattini Intra-day Threshold Bands (ZITB)This indicator implements the intraday threshold band methodology described in the research paper by Carlo Zarattini et al.
papers.ssrn.com
Overview:
Plots intraday threshold bands based on daily open/close levels.
Supports visualization of BaseUp/BaseDown levels and Threshold Upper/Lower bands.
Optional shading between threshold bands for easier interpretation.
Usage Notes / Limitations:
Originally studied on SPY (US equities), this implementation is adapted for NSE intraday market timing, specifically the NIFTY50 index.
Internally, 2-minute candles are used if the chart timeframe is less than 2 minutes.
Values may be inaccurate if the chart timeframe is more than 1 day.
Lookback days are auto-capped to avoid exceeding TradingView’s 5000-bar limit.
The indicator automatically aligns intraday bars across multiple days to compute average deltas.
For better returns, it is recommended to use this indicator in conjunction with VWAP and a volatility-based position sizing mechanism.
Can be used as a reference for Open Range Breakout (ORB) strategies.
Customizations:
Toggle plotting of base levels and thresholds.
Toggle shading between thresholds.
Line colors and styles can be adjusted in the Style tab.
Author:
Gokul Ramachandran – software architect, engineer, programmer. Interested in trading and investment. Currently trading and researching strategies that can be employed in NSE (Indian market).
Contact: (mailto:gokul4trading@gmail.com)
LinkedIn: www.linkedin.com
Intended for educational and research purposes only.
Quantel.io FVG & IFVG ICT IndicatorThe Quantel.io FVG & iFVG ICT Indicator identifies Fair Value Gaps (FVGs) and Inversion Fair Value Gaps (iFVGs) with precision, helping traders spot liquidity imbalances and potential trap zones.
💡 How to Use:
Detect FVG zones where price is likely to return for liquidity grabs or reversals.
Identify iFVG zones to anticipate market traps or potential continuation moves.
Combine with ICT concepts, liquidity sweeps, BOS/CHOCH, or swing structure for optimal entries.
✅ Features:
Dynamic plotting of FVG and iFVG zones with clear box visualization.
Highlights key imbalance areas for easier market structure reading.
Compatible with all timeframes and markets (forex, indices, crypto).
⚠️ Disclaimer: This tool is for educational purposes only. Not financial advice. Always confirm with your own analysis and risk management.
Quantel iFVG & Breakout DetectorThe Quantel iFVG & Breakout Detector is a precision tool designed to highlight inversion fair value gaps (iFVGs) and breakout opportunities with crystal-clear visuals. It plots:
Arrow Signals – to mark breakout confirmations.
Box Highlights – to show active iFVG zones and breakout ranges.
💡 How to Use:
Use the arrows as directional cues for potential entries after a confirmed breakout.
Watch the highlighted boxes to identify imbalances and zones of interest for reversals or continuation.
Best combined with liquidity sweeps, BOS/CHOCH, or higher timeframe bias for stronger confirmation.
✅ Features:
Automatic detection of iFVGs with dynamic zone plotting.
Breakout confirmation arrows for easy trade visualization.
Clean, uncluttered chart display suitable for all timeframes.
⚠️ Disclaimer: This tool is for educational purposes only. Not financial advice. Always combine signals with your own trading plan and risk management.
Quantel Swing ProQuantel Swing Pro is a precision tool designed for traders who want structured swing trade setups with clear rules. The indicator automatically provides:
Entry Signals – optimized swing trade triggers.
Stop Loss (SL) Levels – risk management boundaries based on recent structure.
Take Profit (TP) Targets – dynamic profit zones calculated using volatility and swing ranges.
💡 How to Use:
Ideal for swing trades on 4H, Daily, or Weekly charts (works across all timeframes).
Signals provide a full trade idea: entry, stop, and take profit levels.
Best used with trend confirmation tools (moving averages, higher timeframe bias, or liquidity sweeps).
✅ Features:
Complete trade framework in one tool.
Clean, easy-to-read chart signals.
Adjustable settings to fit your strategy and risk profile.
⚠️ Disclaimer: This tool is for educational purposes only. Not financial advice. Use at your own risk and always confirm signals with your personal trading plan.
Session Liquidity & Sweep DetectorThis indicator automatically detects and marks key liquidity sweep events on your chart:
LLS (Lower Liquidity Sweep): Price sweeps below prior lows to grab liquidity.
LHS (Lower High Sweep): Price sweeps above a minor high before rejecting.
ALS (Above Liquidity Sweep): Price sweeps above a key high, often signaling liquidity collection.
AHS (Above High Sweep): Price takes out a previous swing high, indicating possible trap or breakout.
How to Use:
Use signals as confluence with your trading system, not as stand-alone buy/sell triggers.
LLS/ALS can mark areas where liquidity is grabbed before reversal.
LHS/AHS can help identify false breakouts and stop hunts around key levels.
Combine with FVGs, BOS/CHOCH, or PO3 models for maximum effectiveness.
Features:
Clean on-chart signals for all 4 sweep types.
Works on all timeframes and symbols.
Helps traders spot liquidity hunts & manipulation points.
Disclaimer: This tool is for educational purposes only. Not financial advice. Always combine with your own analysis and risk management.
3X Sniper BotThe 3X Sniper Bot is built for traders who demand clarity, precision, and confidence in their decision-making. This tool isn’t just another crossover script—it’s a full multi-confirmation system that helps you spot momentum shifts, identify high-probability entries, and filter out the noise.
🔥 Why traders love it:
Triple confirmation engine: Only fires when multiple conditions align, reducing false signals.
Strong vs. Regular vs. Possible setups: Get nuanced alerts that distinguish between high-conviction moves and early opportunities.
Both Buy & Sell coverage: Stay prepared in any market environment.
Smart flexibility: Works across strict or sequenced signal modes, giving you control over how conservative or aggressive you want to trade.
Visual clarity: Clean chart markers and optional regime shading keep your screen easy to read at a glance.
Alert-ready: Set and forget—never miss a move with real-time TradingView alerts.
This indicator was designed to make complex multi-factor analysis simple, giving traders a clear visual edge without clutter or guesswork. Whether you scalp intraday or swing multi-day, the 3X Sniper Bot adapts to your style.
Machine Learning Gaussian Mixture Model | AlphaNattMachine Learning Gaussian Mixture Model | AlphaNatt
A revolutionary oscillator that uses Gaussian Mixture Models (GMM) with unsupervised machine learning to identify market regimes and automatically adapt momentum calculations - bringing statistical pattern recognition techniques to trading.
"Markets don't follow a single distribution - they're a mixture of different regimes. This oscillator identifies which regime we're in and adapts accordingly."
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🤖 THE MACHINE LEARNING
Gaussian Mixture Models (GMM):
Unlike K-means clustering which assigns hard boundaries, GMM uses probabilistic clustering :
Models data as coming from multiple Gaussian distributions
Each market regime is a different Gaussian component
Provides probability of belonging to each regime
More sophisticated than simple clustering
Expectation-Maximization Algorithm:
The indicator continuously learns and adapts using the E-M algorithm:
E-step: Calculate probability of current market belonging to each regime
M-step: Update regime parameters based on new data
Continuous learning without repainting
Adapts to changing market conditions
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🎯 THREE MARKET REGIMES
The GMM identifies three distinct market states:
Regime 1 - Low Volatility:
Quiet, ranging markets
Uses RSI-based momentum calculation
Reduces false signals in choppy conditions
Background: Pink tint
Regime 2 - Normal Market:
Standard trending conditions
Uses Rate of Change momentum
Balanced sensitivity
Background: Gray tint
Regime 3 - High Volatility:
Strong trends or volatility events
Uses Z-score based momentum
Captures extreme moves
Background: Cyan tint
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💡 KEY INNOVATIONS
1. Probabilistic Regime Detection:
Instead of binary regime assignment, provides probabilities:
30% Regime 1, 60% Regime 2, 10% Regime 3
Smooth transitions between regimes
No sudden indicator jumps
2. Weighted Momentum Calculation:
Combines three different momentum formulas
Weights based on regime probabilities
Automatically adapts to market conditions
3. Confidence Indicator:
Shows how certain the model is (white line)
High confidence = strong regime identification
Low confidence = transitional market state
Line transparency changes with confidence
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⚙️ PARAMETER OPTIMIZATION
Training Period (50-500):
50-100: Quick adaptation to recent conditions
100: Balanced (default)
200-500: Stable regime identification
Number of Components (2-5):
2: Simple bull/bear regimes
3: Low/Normal/High volatility (default)
4-5: More granular regime detection
Learning Rate (0.1-1.0):
0.1-0.3: Slow, stable learning
0.3: Balanced (default)
0.5-1.0: Fast adaptation
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📊 TRADING STRATEGIES
Visual Signals:
Cyan gradient: Bullish momentum
Magenta gradient: Bearish momentum
Background color: Current regime
Confidence line: Model certainty
1. Regime-Based Trading:
Regime 1 (pink): Expect mean reversion
Regime 2 (gray): Standard trend following
Regime 3 (cyan): Strong momentum trades
2. Confidence-Filtered Signals:
Only trade when confidence > 70%
High confidence = clearer market state
Avoid transitions (low confidence)
3. Adaptive Position Sizing:
Regime 1: Smaller positions (choppy)
Regime 2: Normal positions
Regime 3: Larger positions (trending)
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🚀 ADVANTAGES OVER OTHER ML INDICATORS
vs K-Means Clustering:
Soft clustering (probabilities) vs hard boundaries
Captures uncertainty and transitions
More mathematically robust
vs KNN (K-Nearest Neighbors):
Unsupervised learning (no historical labels needed)
Continuous adaptation
Lower computational complexity
vs Neural Networks:
Interpretable (know what each regime means)
No overfitting issues
Works with limited data
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📈 PERFORMANCE CHARACTERISTICS
Best Market Conditions:
Markets with clear regime shifts
Volatile to trending transitions
Multi-timeframe analysis
Cryptocurrency markets (high regime variation)
Key Strengths:
Automatically adapts to market changes
No manual parameter adjustment needed
Smooth transitions between regimes
Probabilistic confidence measure
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🔬 TECHNICAL BACKGROUND
Gaussian Mixture Models are used extensively in:
Speech recognition (Google Assistant)
Computer vision (facial recognition)
Astronomy (galaxy classification)
Genomics (gene expression analysis)
Finance (risk modeling at investment banks)
The E-M algorithm was developed at Stanford in 1977 and is one of the most important algorithms in unsupervised machine learning.
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💡 PRO TIPS
Watch regime transitions: Best opportunities often occur when regimes change
Combine with volume: High volume + regime change = strong signal
Use confidence filter: Avoid low confidence periods
Multi-timeframe: Compare regimes across timeframes
Adjust position size: Scale based on identified regime
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⚠️ IMPORTANT NOTES
Machine learning adapts but doesn't predict the future
Best used with other confirmation indicators
Allow time for model to learn (100+ bars)
Not financial advice - educational purposes
Backtest thoroughly on your instruments
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🏆 CONCLUSION
The GMM Momentum Oscillator brings institutional-grade machine learning to retail trading. By identifying market regimes probabilistically and adapting momentum calculations accordingly, it provides:
Automatic adaptation to market conditions
Clear regime identification with confidence levels
Smooth, professional signal generation
True unsupervised machine learning
This isn't just another indicator with "ML" in the name - it's a genuine implementation of Gaussian Mixture Models with the Expectation-Maximization algorithm, the same technology used in:
Google's speech recognition
Tesla's computer vision
NASA's data analysis
Wall Street risk models
"Let the machine learn the market regimes. Trade with statistical confidence."
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Developed by AlphaNatt | Machine Learning Trading Systems
Version: 1.0
Algorithm: Gaussian Mixture Model with E-M
Classification: Unsupervised Learning Oscillator
Not financial advice. Always DYOR.
Stockbee Reversal Bullish v2Custom indicator for identifying stocks that meet the Stockbee's Reversal Bullish New criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
Stockbee Reversal BullishCustom indicator for identifying stocks that meet the Stockbee's Reversal Bullish criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
HD_DİNAMİK SEMBOL-SİNYAL TABLO (STrend + EMA(25/99) – v6.2HD_Dynamic Symbol–Signal Table (Short/Mid/Long) — SuperTrend + EMA(25/99) — v6.2
TL;DR
Invite-only indicator that builds a multi-symbol live signal table combining SuperTrend direction with EMA 25/99 state, across three timeframe groups: Short (5/15/30), Mid (45/60/120), Long (180/240/D).
Top 2 rows (e.g., BTC, ETH) always show the full 3×(ST, EMA) matrix; the remaining rows show the active group to stay lightweight. The table colors & texts are highly configurable, and the indicator emits clean alert messages you can route to webhooks (e.g., your bot).
1) What it does
Signal logic (per symbol & timeframe):
SuperTrend direction + EMA 25 vs 99 comparison.
Combination map:
ST=LONG & EMA=LONG → "LONG YAP"
ST=SHORT & EMA=SHORT → "SHORT YAP"
ST=SHORT & EMA=LONG → "SHORT/LONG YAP" (mixed)
ST=LONG & EMA=SHORT → "LONG/SHORT YAP" (mixed)
Timeframe groups
Short: 5/15/30
Mid: 45/60/120
Long: 180/240/D
Auto mode infers the group from the chart TF; Manual mode lets you pin a group.
Pinned priority rows: Row #1 and #2 (default BTC/ETH) always display all three TFs (ST & EMA pairs).
Dynamic list (rows 3–30): Shows only the active group for each symbol to stay fast and readable.
Implementation note: in this build the ST “up”/“down” plotting uses the SuperTrend dir sign convention where dir < 0 is rendered as Uptrend and dir > 0 as Downtrend in visuals. The table/alerts already normalize this into LONG/SHORT text.
2) Table, styling & filters
Placement & fonts: position, title/group/header/body font sizes.
Colors: per-cell/background for header rows, LONG/SHORT states, and distinct brand colors per symbol row (BTC=blue, ETH=amber, majors=greens, mid-caps=oranges, high-risk=reds, new/hyped=purple range).
Symbol column text: “Symbol only”, “Short+Symbol”, or “Short only”.
Filter: Show All / LONG YAP / SHORT YAP / SHORT/LONG YAP / LONG/SHORT YAP. (Pinned BTC/ETH still visible.)
3) Alerts & webhook messages
Per-row alerts: When the active TF for a row resolves on bar close, the indicator sends:
|symbol=|tf=|signal=
Example: HD_ST_EMA|symbol=BINANCE:BTCUSDT|tf=15|signal=LONG YAP
Configure the alert to Once per bar close and set a webhook URL if you want to forward to an execution bot.
Ready-made alertconditions (Robot block):
Select a single alarmSymbol and get four conditions: LONG YAP, SHORT YAP, SHORT/LONG YAP, LONG/SHORT YAP.
Chart-symbol conditions: Extra alertconditions for EMA LONG/SHORT and ST LONG/SHORT on the current chart symbol, if you also want single-symbol triggers.
4) Drawing package (optional)
SuperTrend line with Up/Down segments and trend-flip labels.
EMA 25/99 lines and cross labels.
Main mixed-state labels for the chart symbol can be toggled (LONG/SHORT & mixed cases).
5) Symbols & safety
Priority inputs (#1–2) for BTC/ETH; inputs #3–30 for your list (supports formats like BINANCE:BTCUSDT or BTCUSDT.P).
A basic format validator ignores obviously malformed tickers to avoid request errors.
request.security() powers all multi-TF/multi-symbol reads.
6) How to use
Add indicator to the chart.
Choose Auto (group follows chart TF) or pick Short/Mid/Long manually.
Fill your symbol list (rows 3–30). BTC & ETH are pinned at the top.
Set filter (or keep “All”).
(Optional) Adjust fonts/colors and the “Symbol column” text mode.
Turn Alert on; set alertPrefix if you need a specific route tag.
Create an alert on the indicator, Once per bar close, and (optionally) add a webhook URL.
7) Notes & limits
This is an indicator (no orders are placed). Use the alerts to trigger your own automation.
Designed for crypto symbols; works on other markets if your vendor supports the tickers/timeframes.
Table resizes dynamically to your active list; heavy watchlists may still be constrained by platform limits.
8) Disclaimer
Educational use only. Not financial advice. Past performance does not guarantee future results.
Changelog
v6.2 — Auto/Manual TF-grouping, pinned BTC/ETH tri-TF view, robust alert text format, color-coded priorities, safer symbol validation, ST/EMA flip labels, dynamic table sizing.
Türkçe Özet
Ne yapar?
Birden fazla sembol için SuperTrend + EMA(25/99) durumunu üç periyot grubunda (Kısa 5/15/30 – Orta 45/60/120 – Uzun 180/240/Günlük) tek tabloda gösterir.
BTC/ETH ilk iki satırda her zaman 3×(ST, EMA) birlikte görünür; diğer satırlar aktif gruba göre (performans için) tek grup gösterir.
Sinyal mantığı
İkisi de LONG → LONG YAP
İkisi de SHORT → SHORT YAP
Karışık → SHORT/LONG YAP veya LONG/SHORT YAP (ST/EMA’ya göre)
Alarm & Webhook
Satır bazlı alarm metni:
HD_ST_EMA|symbol=...|tf=...|signal=... (bar kapanışında).
“Robot” bölümünde tek bir sembol için 4 ayrı alertcondition hazır.
Grafikteki sembol için ayrıca EMA LONG/SHORT ve ST LONG/SHORT koşulları da var.
Kullanım
Otomatik/Elle grup seç;
Listeyi doldur (3–30);
Filtre/renk/yazı ayarla;
Alarmı aç ve Once per bar close ile kur; gerekiyorsa webhook URL ekle.
Not
Gösterge emir vermez; sinyalleri kendi köprüne/botuna yönlendirirsin. Yatırım tavsiyesi değildir.
SVX (Sentiment Velocity Index) EMA & Slope StructureThe SVX Momentum Framework is designed as a momentum and slope visualization tool. Designed to identify momentum shifts and pre-move conditions within price action.
What it draws:
- Plots five EMAs (8, 20, 40, 100, 200) To visualize short/medium trend structure. You can pick which ones to see.
- Calculates an EMA-based slope (rate of change) from actual closing-price movement and colors a neutral/positive/negative background for context. This is not ATR or Supertrend.
- Shows optional triangle context markers on bars that meet wick/body conditions that often precede momentum transitions (off by default / user-controlled).
- Shows Reference close (optional): Use when you need to verify price relative to standard closes for easier zone and level marking.
How the components work together:
- The EMA stack provides directional alignment (compression/expansion and relative order of 8/20/40/100/200).
- The slope quantifies whether recent movement is neutral, building (Green), or fading (Red); the background simply reflects that state.
- The triangle context markers flag a bar-shape condition (wick/body relationship) that can precede changes in behavior.
- The reference close is a visual aid for clarity when users compare candle closes and trading zones or levels .
How to read it:
- Structure: Look for EMA ordering (at least 8/20/100 recommended) and spacing to understand the underlying bias and compression/expansion.
- Slope state: Neutral (no bias, white), positive (building, green), or negative (fading, red). Use it as context, not as entries/exits.
- Context markers (optional): Treat them as visual highlights.
- Reference close (optional): Use when you need to verify price relative to candle close for easier zone and level marking.
How to use it (general guidance):
- Read structure first (EMA order/spread), then consider the slope state to understand whether conditions are neutral or possibly momentum-driven in the indicated direction.
- Combine with your own entry rules and/or engulfing candle patterns for timing, risk, and apply your preferred management.
What’s original here:
- The slope visualization is derived from actual closing-price movement, not Supertrend or ATR overlays.
- The wick/body context markers focus on bars that often precede transitions, presented as optional visuals.
- The reference close overlay is included purely to aid interpretation when comparing views to the native close and for more clear zone and level marking.
Access & intent:
- Educational visualization of structure and slope, providing a framework traders can build upon.
- The author does not provide financial advice. Use at your own discretion.
Disclaimer
This script is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to trade. Past performance is not indicative of future results. The author assumes no responsibility for losses incurred from the use of this tool. TradingView, Inc. has no liability related to this script or its use.
Pivot Point TrendOverview
A trend-following trailing line built from confirmed pivot highs/lows and ATR bands. The line turns green in uptrends and red in downtrends. A flip happens only when price closes on the other side of the opposite trail, helping filter noise.
How it works:
Finds confirmed swing points (pivots) and builds a smoothed center from them.
From that center, creates ATR-based bands.
The active trail “locks” in the trend: in uptrends it never moves down; in downtrends it never moves up.
Close above the prior upper trail → bullish; close below the prior lower trail → bearish.
Inputs
Pivot Point Period (prd) – strictness of pivot confirmation (delay = prd bars).
ATR Period (pd) and ATR Factor (factor) – band width; higher values = fewer flips.
Calculation timeframe (calcTF) – leave empty to use chart TF, or set a hard TF like 1D, 4H.
Show Center Line – optional central guide.
Line Width – trail thickness.
Alerts
Bullish Flip – trend turns bullish.
Bearish Flip – trend turns bearish.
Trend Changed – any flip event.
Usage tips
Typical crypto intraday starters: prd 2–5, pd 10–14, factor 2.5–3.5.
For smoother signals, compute on a higher TF (e.g., calcTF = 1D) and time entries on your lower TF.
Prefer actions on bar close of the calculation TF to avoid intrabar whipsaw.
Notes on repainting
The script uses request.security(..., lookahead_off). Pivots confirm after prd bars by design; once confirmed, the center and trails do not use future data. Evaluate flips on bar close for consistency, especially when calcTF > chart TF.
Disclaimer
Educational use only. Not financial advice. Trading involves risk.
Breakout Paint Bars (IBS + Micro Channels)Breakout Paint Bars (IBS + Micro Channels)
This indicator highlights breakout candles using the Internal Bar Strength (IBS) and adds advanced filtering with suppression logic and optional micro channel detection.
📌 Features
IBS Breakout Detection
Bullish bars are painted when IBS ≥ user-defined threshold (default 69%) and the candle breaks above the previous candle’s high and close.
Bearish bars are painted when IBS ≤ user-defined threshold (default 31%) and the candle breaks below the previous candle’s low and close.
Suppression Logic
After a strong bullish bar, bearish IBS signals are suppressed until price closes below the bullish bar’s low.
After a strong bearish bar, bullish IBS signals are suppressed until price closes above the bearish bar’s high.
This reduces false signals and avoids premature coloring inside consolidation.
Micro Channel Detection (Optional)
A bull micro channel is 3+ consecutive bullish bars without a pullback (each low ≥ prior low). These are shaded in a darker cyan.
A bear micro channel is 3+ consecutive bearish bars without a pullback (each high ≤ prior high). These are shaded in a darker red.
You can enable/disable this with a checkbox in settings.
Customizable Colors & Thresholds
Adjust bullish/bearish IBS thresholds.
Change bullish/bearish colors for personalization.
🎯 Usage
Helps identify valid breakout bars while filtering out noise.
Suppression ensures breakout signals are only shown after key levels are taken out.
Micro channel coloring highlights strong trending phases without pullbacks.
⚠️ Notes
Works on all markets (stocks, forex, crypto, futures).
Designed for discretionary traders who want to spot momentum-driven breakouts and trend strength.
Deadband Hysteresis Supertrend [BackQuant]Deadband Hysteresis Supertrend
A two-stage trend tool that first filters price with a deadband baseline, then runs a Supertrend around that baseline with optional flip hysteresis and ATR-based adverse exits.
What this is
A hybrid of two ideas:
Deadband Hysteresis Baseline that only advances when price pulls far enough from the baseline to matter. This suppresses micro noise and gives you a stable centerline.
Supertrend bands wrapped around that baseline instead of raw price. Flips are further gated by an extra margin so side changes are more deliberate.
The goal is fewer whipsaws in chop and clearer regime identification during trends.
How it works (high level)
Deadband step — compute a per-bar “deadband” size from one of four modes: ATR, Percent of price, Ticks, or Points. If price deviates from the baseline by more than this amount, move the baseline forward by a fraction of the excess. If not, hold the line.
Centered Supertrend — build upper and lower bands around the baseline using ATR and a user factor. Track the usual trailing logic that tightens a band while price moves in its favor.
Flip hysteresis — require price to exceed the active band by an extra flip offset × ATR before switching sides. This adds stickiness at the boundary.
Adverse exit — once a side is taken, trigger an exit if price moves against the entry by K × ATR .
If you would like to check out the filter by itself:
What it plots
DBHF baseline (optional) as a smooth centerline.
DBHF Supertrend as the active trailing band.
Candle coloring by trend side for quick read.
Signal markers 𝕃 and 𝕊 at flips plus ✖ on adverse exits.
Inputs that matter
Price Source — series being filtered. Close is typical. HL2 or HLC3 can be steadier.
Deadband mode — ATR, Percent, Ticks, or Points. This defines the “it’s big enough to matter” zone.
ATR Length / Mult (DBHF) — only used when mode = ATR. Larger values widen the do-nothing zone.
Percent / Ticks / Points — alternatives to ATR; pick what fits your market’s convention.
Enter Mult — scales the deadband you must clear before the baseline moves. Increase to filter more noise.
Response — fraction of the excess applied to baseline movement. Higher responds faster; lower is smoother.
Supertrend ATR Period & Factor — traditional band size controls; higher factor widens and flips less often.
Flip Offset ATR — extra ATR buffer required to flip. Useful in choppy regimes.
Adverse Stop K·ATR — per-trade danger brake that forces an exit if price moves K×ATR against entry.
UI — toggle baseline, supertrend, signals, and bar painting; choose long and short colors.
How to read it
Green regime — candles painted long and the Supertrend running below price. Pullbacks toward the baseline that fail to breach the opposite band often resume higher.
Red regime — candles painted short and the Supertrend running above price. Rallies that cannot reclaim the band may roll over.
Frequent side swaps — reduce sensitivity by increasing Enter Mult, using ATR mode, raising the Supertrend factor, or adding Flip Offset ATR.
Use cases
Bias filter — allow entries only in the direction of the current side. Use your preferred triggers inside that bias.
Trailing logic — treat the active band as a dynamic stop. If the side flips or an adverse K·ATR exit prints, reduce or close exposure.
Regime map — on higher timeframes, the combination baseline + band produces a clean up vs down template for allocation decisions.
Tuning guidance
Fast markets — ATR deadband, modest Enter Mult (0.8–1.2), response 0.2–0.35, Supertrend factor 1.7–2.2, small Flip Offset (0.2–0.5 ATR).
Choppy ranges — widen deadband or raise Enter Mult, lower response, and add more Flip Offset so flips require stronger evidence.
Slow trends — longer ATR periods and higher Supertrend factor to keep you on side longer; use a conservative adverse K.
Included alerts
DBHF ST Long — side flips to long.
DBHF ST Short — side flips to short.
Adverse Exit Long / Short — K·ATR stop triggers against the current side.
Strengths
Deadbanded baseline reduces micro whipsaws before Supertrend logic even begins.
Flip hysteresis adds a second layer of confirmation at the boundary.
Optional adverse ATR stop provides a uniform risk cut across assets and regimes.
Clear visuals and minimal parameters to adjust for symbol behavior.
Putting it together
Think of this tool as two decisions layered into one view. The deadband baseline answers “does this move even count,” then the Supertrend wrapped around that baseline answers “if it counts, which side should I be on and where do I flip.” When both parts agree you tend to stay on the correct side of a trend for longer, and when they disagree you get an early warning that conditions are changing.
When the baseline bends and price cannot reclaim the opposite band , momentum is usually continuing. Pullbacks into the baseline that stall before the far band often resolve in trend.
When the baseline flattens and the bands compress , expect indecision. Use the Flip Offset ATR to avoid reacting to the first feint. Wait for a clean band breach with follow through.
When an adverse K·ATR exit prints while the side has not flipped , treat it as a risk event rather than a full regime change. Many users cut size, re-enter only if the side reasserts, and let the next flip confirm a new trend.
Final thoughts
Deadband Hysteresis Supertrend is best read as a regime lens. The baseline defines your tolerance for noise, the bands define your trailing structure, and the flip offset plus adverse ATR stop define how forgiving or strict you want to be at the boundary. On strong trends it helps you hold through shallow shakeouts. In choppy conditions it encourages patience until price does something meaningful. Start with settings that reflect the cadence of your market, observe how often flips occur, then nudge the deadband and flip offset until the tool spends most of its time describing the move you care about rather than the noise in between.
Trend FriendTrend Friend — What it is and how to use it
I built Trend Friend to stop redrawing the same trendlines all day. It automatically connects confirmed swing points (fractals) and keeps the most relevant lines in front of you. The goal: give you clean, actionable structure without the guesswork.
What it does (in plain English)
Finds swing highs/lows using a Fractal Period you choose.
Draws auto-trendlines between the two most recent confirmed highs and the two most recent confirmed lows.
Colours by intent:
Lines drawn from highs (potential resistance / bearish) = Red
Lines drawn from lows (potential support / bullish) = Green
Keeps the chart tidy: The newest lines are styled as “recent,” older lines are dimmed as “historical,” and it prunes anything beyond your chosen limit.
Optional crosses & alerts: You can highlight when price closes across the most recent line and set alerts for new lines formed and upper/lower line crosses.
Structure labels: It tags HH, LH, HL, LL at the swing points, so you can quickly read trend/rotation.
How it works (under the hood)
A “fractal” here is a confirmed pivot: the highest high (or lowest low) with n bars on each side. That means pivots only confirm after n bars, so signals are cleaner and less noisy.
When a new pivot prints, the script connects it to the prior pivot of the same type (high→high, low→low). That gives you one “bearish” line from highs and one “bullish” line from lows.
The newest line is marked as recent (brighter), and the previous recent line becomes historical (dimmed). You can keep as many pairs as you want, but I usually keep it tight.
Inputs you’ll actually use
Fractal Period (n): this is the big one. It controls how swingy/strict the pivots are.
Lower n → more swings, more lines (faster, noisier)
Higher n → fewer swings, cleaner lines (slower, swing-trade friendly)
Max pair of lines: how many pairs (up+down) to keep on the chart. 1–3 is a sweet spot.
Extend: extend lines Right (my default) or Both ways if you like the context.
Line widths & colours: recent vs. historical are separate so you can make the active lines pop.
Show crosses: toggle the X markers when price crosses a line. I turn this on when I’m actively hunting breakouts/retests.
Reading the chart
Red lines (from highs): I treat these as potential resistance. A clean break + hold above a red line often flips me from “fade” to “follow.”
Green lines (from lows): Potential support. Same idea in reverse: break + hold below and I stop buying dips until I see structure reclaim.
HH / LH / HL / LL dots: quick read on structure.
HH/HL bias = uptrend continuation potential
LH/LL bias = downtrend continuation potential
Mixed prints = rotation/chop—tighten risk or wait for clarity.
My H1 guidance (fine-tuning Fractal Period)
If you’re mainly on H1 (my use case), tune like this:
Fast / aggressive: n = 6–8 (lots of signals, good for momentum days; more chop risk)
Balanced (recommended): n = 9–12 (keeps lines meaningful but responsive)
Slow / swing focus: n = 13–21 (filters noise; better for trend days and higher-TF confluence)
Rule of thumb: if you’re getting too many touches and whipsaws, increase n. If you’re late to obvious breaks, decrease n.
How I trade it (example workflow)
Pick your n for the session (H1: start at 9–12).
Mark the recent red & green lines. That’s your immediate structure.
Look for interaction:
Rejections from a line = fade potential back into the range.
Break + close across a line = watch the retest for continuation.
Confirm with context: session bias, HTF structure, and your own tools (VWAP, RSI, volume, FVG/OB, etc.).
Plan the trade: enter on retest or reclaim, stop beyond the line/last swing, target the opposite side or next structure.
Alerts (set and forget)
“New trendline formed” — fires when a new high/low pivot confirms and a fresh line is drawn.
“Upper/lower trendline crossed” — fires when price crosses the most recent red/green line.
Use these to track structure shifts without staring at the screen.
Good to know (honest limitations)
Confirmation lag: pivots need n bars on both sides, so signals arrive after the swing confirms. That’s by design—less noise, fewer fake lines.
Lines update as structure evolves: when a new pivot forms, the previous “recent” line becomes “historical,” and older ones can be removed based on your max setting.
Not an auto trendline crystal ball: it won’t predict which line holds or breaks—it just keeps the most relevant structure clean and up to date.
Final notes
Works on any timeframe; I built it with H1 in mind and scale to H4/D1 by increasing n.
Pairs nicely with session tools and VWAP for intraday, or with supply/demand / FVGs for swing planning.
Risk first: lines are structure, not guarantees. Manage position size and stops as usual.
Not financial advice. Trade your plan. Stay nimble.
Dusk Nexus Alpha 4HDusk Nexus Alpha 4H (After Dark Main)
개요
기반 기술: 시장 에너지 폭발 감지 시스템
최적 시간대: 4시간봉 전용
신호 특성: 극희귀, 고품질
용도: 큰 움직임 초기 포착
테이블 설명
DUSK NEXUS ALPHA 4H | 4H LOCKED
├─ Timeframe: 4H 시간대 확인
├─ VOLATILITY: 변동성 폭발 상태 (Critical/High/Normal)
├─ FLOW: 거래량 급증 상태 (Surge/High/Normal)
├─ MOVEMENT: 가격 변화 크기 (Major/Minor)
├─ DIRECTION: 강한 방향성 확인 (Strong Up/Down/Weak)
├─ RANGE: 가격 범위 비율 (Wide/Narrow)
├─ UP POWER: 상승 연속성 강도 (숫자/최대값)
└─ STATUS: 최종 넥서스 신호 상태
핵심 개념
시장 내 잠재 에너지가 폭발적으로 방출되는 순간 포착
변동성, 거래량, 가격 움직임의 동시 급증 패턴 분석
연속성 확인을 통해 일시적 노이즈와 진짜 신호 구분
Dusk Nexus Alpha 4H (After Dark Main)
Overview
Core Technology: Market energy explosion detection system
Optimal Timeframe: 4-hour charts exclusively
Signal Characteristics: Extremely rare, high quality
Purpose: Early capture of major movements
Dashboard Explanation
DUSK NEXUS ALPHA 4H | 4H LOCKED
├─ Timeframe: 4H timeframe verification
├─ VOLATILITY: Volatility explosion status (Critical/High/Normal)
├─ FLOW: Volume surge status (Surge/High/Normal)
├─ MOVEMENT: Price change magnitude (Major/Minor)
├─ DIRECTION: Strong directional confirmation (Strong Up/Down/Weak)
├─ RANGE: Price range ratio (Wide/Narrow)
├─ UP POWER: Upward continuity strength (number/maximum value)
└─ STATUS: Final nexus signal status
Core Concept
Capturing moments when latent market energy explosively releases
Analysis of simultaneous surge patterns in volatility, volume, and price movement
Distinguishing between temporary noise and genuine signals through continuity verification
Dusk Core Alpha 1HDusk Core Alpha 1H
개요
기반 기술: 동적 가격 밴드 돌파 시스템
최적 시간대: 1시간봉 전용
신호 특성: 단기 반응, 적당한 빈도
용도: 단기 스캘핑, 데이트레이딩
테이블 설명
DUSK CORE ALPHA 1H | 1H LOCKED
├─ Timeframe: 1H 시간대 확인
├─ LOCATION: 동적 밴드 내부/외부 위치
├─ BOUNDARY: 밴드 경계선 돌파 상태
├─ ACTIVITY: 변동성 부스트 확인 (배수)
└─ STATUS: 최종 코어 신호 상태
핵심 개념
시장 변동성에 따라 자동 조절되는 가격 경계선
경계선 돌파 시 추세 전환 가능성 감지
단기 시간대 특화로 빠른 반응성 확보
Dusk Core Alpha 1H (After Dark Main)
Overview
Core Technology: Dynamic price band breakout system
Optimal Timeframe: 1-hour charts exclusively
Signal Characteristics: Short-term response, moderate frequency
Purpose: Short-term scalping, day trading
Dashboard Explanation
DUSK CORE ALPHA 1H | 1H LOCKED
├─ Timeframe: 1H timeframe verification
├─ LOCATION: Position inside/outside dynamic bands
├─ BOUNDARY: Band boundary breakout status
├─ ACTIVITY: Volatility boost confirmation (multiplier)
└─ STATUS: Final core signal status
Core Concept
Price boundaries that auto-adjust according to market volatility
Detection of potential trend reversal upon boundary breakouts
Fast responsiveness specialized for short-term timeframes
Dusk Flux Alpha 4HDusk Flux Alpha 4H (After Dark Main)
개요
기반 기술: 기관 투자자 매매선 추적 시스템
최적 시간대: 4시간봉 전용
신호 특성: 높은 정확도, 적은 빈도
용도: 중장기 스윙 트레이딩
테이블 설명
DUSK FLUX ALPHA 4H | 4H LOCKED
├─ Timeframe: 4H 시간대 확인 (다른 시간대 사용금지)
├─ LOCATION: 현재가의 기관 매매선 대비 위치
├─ RANGE: 기관선으로부터 이탈 정도 (%)
├─ ACTIVITY: 시장 변동성 활성화 상태 (배수)
├─ FLOW: 거래량 급증 확인 (평균 대비 배수)
├─ FORCE: 가격 방향성 모멘텀 (양/음/중립)
└─ STATUS: 최종 플럭스 신호 발생 여부
핵심 개념
대형 기관들의 집단 매매 패턴을 실시간 추적
기관선 이탈 시점에서 개인 투자자 진입 기회 포착
변동성과 거래량 동반 확인으로 신호 정확도 향상
Dusk Flux Alpha 4H (After Dark Main)
Overview
Core Technology: Institutional investor flow tracking system
Optimal Timeframe: 4-hour charts exclusively
Signal Characteristics: High accuracy, low frequency
Purpose: Medium to long-term swing trading
Dashboard Explanation
DUSK FLUX ALPHA 4H | 4H LOCKED
├─ Timeframe: 4H timeframe verification (other timeframes prohibited)
├─ LOCATION: Current price position relative to institutional flow lines
├─ RANGE: Deviation percentage from institutional levels (%)
├─ ACTIVITY: Market volatility activation status (multiplier)
├─ FLOW: Volume surge confirmation (average ratio multiplier)
├─ FORCE: Price directional momentum (positive/negative/neutral)
└─ STATUS: Final flux signal generation status
Core Concept
Real-time tracking of large institutional collective trading patterns
Capturing retail entry opportunities at institutional flow deviation points
Enhanced signal accuracy through combined volatility and volume confirmation
BUY & SELL Probability (M5..D1) - MTFMTF Probability Indicator (M5 to D1)
Indicator — Dual Histogram with Buy/Sell Labels
This indicator is designed to provide a probabilistic bias for bullish or bearish conditions by combining three different analytical components across multiple timeframes. The goal is to reduce noise from single-indicator signals and instead highlight confluence where trend, momentum, and strength agree.
Why this combination is useful
- EMA(200) Trend Filter: Identifies whether price is trading above or below a widely used long-term moving average.
- MACD Momentum: Detects short-term directional momentum through line crossovers.
- ADX Strength: Measures how strong the trend is, preventing signals in weak or flat markets.
By combining these, the indicator avoids situations where one tool signals a trade but others do not, helping to filter out low-probability setups.
How it works
- Each timeframe (M5, M15, H1, H4, D1) generates its own trend, momentum, and strength score.
- Scores are weighted according to user-defined importance and then aggregated into a single probability.
- Proximity to recent support and resistance levels can adjust the final score, accounting for nearby barriers.
- The final probability is displayed as:
- Histogram (subwindow): Green bars for bullish probability >50%, red bars for bearish <50%.
- On-chart labels: Showing exact buy/sell percentages on the last bar for quick reference.
Inputs
- EMA length (default 200), MACD settings, ADX period.
- Weights for each timeframe and component (trend, momentum, strength).
- Optional boost for the chart’s current timeframe.
- Smoothing length for probability values.
- Lookback period for support/resistance adjustment.
How to use it
- A green histogram above zero indicates bullish probability >50%.
- A red histogram below zero indicates bearish probability >50%.
- Neutral readings near 50% show low confluence and may be best avoided.
- Users can adjust weights to emphasize higher or lower timeframes, depending on their trading style.
Notes
- This script does not guarantee profitable trades.
- Best used together with price action, volume, or additional confirmation tools.
- Signals are calculated only on closed bars to avoid repainting.
- For testing and learning purposes — not financial advice.
Multi-Timeframe Dashboard INDIpendence AAZ is a powerful Multi-Timeframe Dashboard that provides real-time readings of:
✔ Market Structure
✔ Market Direction
✔ Entry Signals
This tool is designed for Derivatives (Soy, FCPO, etc.), Forex, Crypto, and Global Markets.
Perfect for new traders and those who do not have the time to study charts in detail.
⚠️ Disclaimer: This indicator is for educational and analytical purposes only. All trading decisions and risks remain with the user.
