Oops ReversalThis indicator identifies bullish Oops reversal days — a classic setup refined for stronger confirmation and early detection.
✅ Criteria for Signal (on current day):
Gap Down Open:
The stock opens below the previous day's low, suggesting initial weakness.
Shallow Intraday Dip:
Price doesn't fall more than 1% below the open, indicating the sell-off lacks follow-through.
Strong Reversal:
During the same day, the stock rallies and crosses the previous day's low by at least 1%, confirming strength and buyer control.
Indicators and strategies
GTrader-ICT All In One-Comumnity VersionMeet the **GTrader-ICT All In One **, a comprehensive toolkit designed to integrate key Inner Circle Trader (ICT) concepts directly onto your chart. This powerful overlay indicator consolidates multiple essential tools, streamlining your technical analysis and helping you identify key temporal and price-based events.
📚 References & Inspiration
This indicator stands on the shoulders of giants. With the help of **tradeforopp** and **LuxAlgo**. The concepts and some implementation details were referenced from the following excellent, publicly available scripts:
ICT Killzones: The session drawing and pivot logic is adapted from tradeforopp
ICT Macros: The macro detection and plotting functionality is inspired by the work of Lux Algo , particularly their widely-used indicators covering ICT concepts.
🎯 Core Features
* **ICT Killzones:** Visualize critical trading sessions with customizable boxes. You can easily toggle and style the **Asia**, **London**, and **New York (AM, Lunch, PM)** sessions to focus on the liquidity and volatility that matter most to your strategy.
* Fully customizable session times and colors.
* Timezone support to align sessions with your local or preferred trading time (defaults to `America/New_York`).
* **ICT Macros:** Automatically identify and plot specific, short-duration time windows where institutional algorithms are known to be active (e.g., `09:50-10:10`, `14:50-15:10`, etc.).
* Plots the high/low range of the macro, providing clear levels of interest.
* Utilizes 1-minute data for precision, even when viewing on 3-minute or 5-minute charts.
📚 Optimization over the other original indicators
We add the custom input for macros session, users just need to input the from/to hour: minute format, and they will be converted into session objects in pinescript
The macro draws function is optimized, removing redundant draws, leading to better performance
Add "Distance from Macro Line to Chart" option
Add "Session Drawings Limit" for better performance
⚠️ Notes on TradingView Warnings
You may encounter some warnings from TradingView when using this script. These are generally expected due to the script's advanced, event-driven nature:
1. **Function Call Consistency:** The function 'box.new' should be called on each calculation for consistency, which may appear. This happens because drawing elements (like session boxes) are intentionally created only on the *first bar* of a new session, not on every single bar. This is a necessary design choice for performance and to prevent duplicate drawings.
2. **Potential for Repainting/Slow Load:** The **Macro** feature uses the `request.security_lower_tf()` function to get accurate 1-minute data. This can trigger warnings about performance or slow loading times. This is a known trade-off for achieving the precision required for the feature.
Volume Peak BoxTH Description
Volume Peak Box
อินดิเคเตอร์นี้ใช้ตรวจจับช่วงที่มี Volume สูงผิดปกติ โดยใช้ Bollinger Band กับข้อมูล Volume ที่ดึงจาก Timeframe ที่ล็อกไว้ (เช่น 1 ชั่วโมง) และจะแสดงผลในรูปแบบ กล่องครอบช่วงราคาสูง–ต่ำ ของช่วง Volume Peak นั้น
🔧 วิธีทำงาน:
คำนวณ Bollinger Band จาก Volume ของ Timeframe ที่กำหนด
ถ้า Volume สูงกว่า Upper Band → ถือว่าเป็น Volume Peak
วาดกล่องครอบ High–Low ของแท่งที่อยู่ในช่วง Volume Peak
กล่องจะแสดงบนทุก Timeframe แต่ใช้ข้อมูลจาก Timeframe ที่ล็อกไว้เท่านั้น
🧠 เหมาะสำหรับการดู:
โซน Breakout
การเคลื่อนไหวของสถาบัน
ความไม่สมดุลของอุปสงค์/อุปทาน
เหมาะมากหากใช้ร่วมกับการอ่านพฤติกรรมราคาใน Timeframe ย่อย เพื่อดูปฏิกิริยาราคาต่อแรง Volume จาก Timeframe ใหญ่
________________
ENG Description
Volume Peak Box
This indicator detects volume spikes based on Bollinger Bands applied to volume from a locked timeframe (e.g. 1H), and draws a box around the price range during those peak periods.
🔧 How it works:
Calculates Bollinger Bands on volume from the selected timeframe.
If volume exceeds the upper band, it is marked as a volume peak.
When a volume peak starts and ends, the indicator draws a box covering the high–low price range during that period.
These boxes remain visible on all timeframes, but always reflect data from the locked timeframe.
🧠 Great for identifying:
Breakout zones
Institutional activity
Supply/demand imbalances
Tip: Use with lower timeframe price action to see how the market reacts near volume peaks from higher timeframes.
Srini B - Zero Lag Trend SignalsFinal version with minor changes. This indicator displays buy & sell alerts as per settings defined and comes out really well. Just my own personal indicator for own use.
High Probability Buy/Sell with SL & TP High-accuracy Buy/Sell signals with dynamic SL & Target—perfect for scalpers and swing traders,Smart trading signals with built-in risk management. Never miss a move.Auto Buy/Sell entries with real-time SL & TP levels—trade with confidence.Turn signals into strategy. Precision entries, clear exits.Your all-in-one trading assistant: entry, stop loss, and take profit—automated.Built for serious traders: Clean signals, sharp exits, and solid risk-reward.
FEDFUNDS Rate Divergence Oscillator [BackQuant]FEDFUNDS Rate Divergence Oscillator
1. Concept and Rationale
The United States Federal Funds Rate is the anchor around which global dollar liquidity and risk-free yield expectations revolve. When the Fed hikes, borrowing costs rise, liquidity tightens and most risk assets encounter head-winds. When it cuts, liquidity expands, speculative appetite often recovers. Bitcoin, a 24-hour permissionless asset sometimes described as “digital gold with venture-capital-like convexity,” is particularly sensitive to macro-liquidity swings.
The FED Divergence Oscillator quantifies the behavioural gap between short-term monetary policy (proxied by the effective Fed Funds Rate) and Bitcoin’s own percentage price change. By converting each series into identical rate-of-change units, subtracting them, then optionally smoothing the result, the script produces a single bounded-yet-dynamic line that tells you, at a glance, whether Bitcoin is outperforming or underperforming the policy backdrop—and by how much.
2. Data Pipeline
• Fed Funds Rate – Pulled directly from the FRED database via the ticker “FRED:FEDFUNDS,” sampled at daily frequency to synchronise with crypto closes.
• Bitcoin Price – By default the script forces a daily timeframe so that both series share time alignment, although you can disable that and plot the oscillator on intraday charts if you prefer.
• User Source Flexibility – The BTC series is not hard-wired; you can select any exchange-specific symbol or even swap BTC for another crypto or risk asset whose interaction with the Fed rate you wish to study.
3. Math under the Hood
(1) Rate of Change (ROC) – Both the Fed rate and BTC close are converted to percent return over a user-chosen lookback (default 30 bars). This means a cut from 5.25 percent to 5.00 percent feeds in as –4.76 percent, while a climb from 25 000 to 30 000 USD in BTC over the same window converts to +20 percent.
(2) Divergence Construction – The script subtracts the Fed ROC from the BTC ROC. Positive values show BTC appreciating faster than policy is tightening (or falling slower than the rate is cutting); negative values show the opposite.
(3) Optional Smoothing – Macro series are noisy. Toggle “Apply Smoothing” to calm the line with your preferred moving-average flavour: SMA, EMA, DEMA, TEMA, RMA, WMA or Hull. The default EMA-25 removes day-to-day whips while keeping turning points alive.
(4) Dynamic Colour Mapping – Rather than using a single hue, the oscillator line employs a gradient where deep greens represent strong bullish divergence and dark reds flag sharp bearish divergence. This heat-map approach lets you gauge intensity without squinting at numbers.
(5) Threshold Grid – Five horizontal guides create a structured regime map:
• Lower Extreme (–50 pct) and Upper Extreme (+50 pct) identify panic capitulations and euphoria blow-offs.
• Oversold (–20 pct) and Overbought (+20 pct) act as early warning alarms.
• Zero Line demarcates neutral alignment.
4. Chart Furniture and User Interface
• Oscillator fill with a secondary DEMA-30 “shader” offers depth perception: fat ribbons often precede high-volatility macro shifts.
• Optional bar-colouring paints candles green when the oscillator is above zero and red below, handy for visual correlation.
• Background tints when the line breaches extreme zones, making macro inflection weeks pop out in the replay bar.
• Everything—line width, thresholds, colours—can be customised so the indicator blends into any template.
5. Interpretation Guide
Macro Liquidity Pulse
• When the oscillator spends weeks above +20 while the Fed is still raising rates, Bitcoin is signalling liquidity tolerance or an anticipatory pivot view. That condition often marks the embryonic phase of major bull cycles (e.g., March 2020 rebound).
• Sustained prints below –20 while the Fed is already dovish indicate risk aversion or idiosyncratic crypto stress—think exchange scandals or broad flight to safety.
Regime Transition Signals
• Bullish cross through zero after a long sub-zero stint shows Bitcoin regaining upward escape velocity versus policy.
• Bearish cross under zero during a hiking cycle tells you monetary tightening has finally started to bite.
Momentum Exhaustion and Mean-Reversion
• Touches of +50 (or –50) come rarely; they are statistically stretched events. Fade strategies either taking profits or hedging have historically enjoyed positive expectancy.
• Inside-bar candlestick patterns or lower-timeframe bearish engulfings simultaneously with an extreme overbought print make high-probability short scalp setups, especially near weekly resistance. The same logic mirrors for oversold.
Pair Trading / Relative Value
• Combine the oscillator with spreads like BTC versus Nasdaq 100. When both the FED Divergence oscillator and the BTC–NDQ relative-strength line roll south together, the cross-asset confirmation amplifies conviction in a mean-reversion short.
• Swap BTC for miners, altcoins or high-beta equities to test who is the divergence leader.
Event-Driven Tactics
• FOMC days: plot the oscillator on an hourly chart (disable ‘Force Daily TF’). Watch for micro-structural spikes that resolve in the first hour after the statement; rapid flips across zero can front-run post-FOMC swings.
• CPI and NFP prints: extremes reached into the release often mean positioning is one-sided. A reversion toward neutral in the first 24 hours is common.
6. Alerts Suite
Pre-bundled conditions let you automate workflows:
• Bullish / Bearish zero crosses – queue spot or futures entries.
• Standard OB / OS – notify for first contact with actionable zones.
• Extreme OB / OS – prime time to review hedges, take profits or build contrarian swing positions.
7. Parameter Playground
• Shorten ROC Lookback to 14 for tactical traders; lengthen to 90 for macro investors.
• Raise extreme thresholds (for example ±80) when plotting on altcoins that exhibit higher volatility than BTC.
• Try HMA smoothing for responsive yet smooth curves on intraday charts.
• Colour-blind users can easily swap bull and bear palette selections for preferred contrasts.
8. Limitations and Best Practices
• The Fed Funds series is step-wise; it only changes on meeting days. Rapid BTC oscillations in between may dominate the calculation. Keep that perspective when interpreting very high-frequency signals.
• Divergence does not equal causation. Crypto-native catalysts (ETF approvals, hack headlines) can overwhelm macro links temporarily.
• Use in conjunction with classical confirmation tools—order-flow footprints, market-profile ledges, or simple price action to avoid “pure-indicator” traps.
9. Final Thoughts
The FEDFUNDS Rate Divergence Oscillator distills an entire macro narrative monetary policy versus risk sentiment into a single colourful heartbeat. It will not magically predict every pivot, yet it excels at framing market context, spotting stretches and timing regime changes. Treat it as a strategic compass rather than a tactical sniper scope, combine it with sound risk management and multi-factor confirmation, and you will possess a robust edge anchored in the world’s most influential interest-rate benchmark.
Trade consciously, stay adaptive, and let the policy-price tension guide your roadmap.
GCM Volatility-Adaptive Trend ChannelScript Description
Name: GCM Volatility-Adaptive Trend Channel (GCM VATC)
Overview
The GCM Volatility-Adaptive Trend Channel (VATC) is a comprehensive trading tool that merges the low-lag, smooth-trending capabilities of the Jurik Moving Average (JMA) with the classic volatility analysis of Bollinger Bands (BB).
By displaying both trend and volatility in a single, intuitive interface, this indicator aims to help traders see when a trend is stable versus when it's becoming volatile and might be poised for a change.
Core Components:
JMA Trend System: At its core are three dynamically colored JMA lines (Baseline, Fast, and Slow) that provide a clear view of trend direction. The lines change color based on their slope, offering immediate visual feedback on momentum. A colored ribbon between the Baseline and Fast JMA visualizes shorter-term momentum shifts.
Standard Bollinger Bands: Layered on top are standard Bollinger Bands. Calculated from the price, these bands serve as a classic measure of market volatility. They help identify periods where the market is expanding (high volatility) or contracting (low volatility).
How to Use It
By combining these two powerful concepts, this indicator provides a unified view of both trend and volatility. It can help traders to:
Identify the primary trend direction using the smooth JMA lines.
Gauge the strength and stability of that trend.
See when the market is becoming volatile (bands widening) or consolidating (bands contracting), which can often precede a significant price move or a change in trend.
A Note on Originality & House Rules Compliance
This indicator does not introduce a new mathematical formula. Instead, its strength lies in the thoughtful combination of two well-respected, publicly available concepts: the Jurik Moving Average and Bollinger Bands. The JMA implementation is a standard public version. The goal was to create a practical, all-in-one tool for trend and volatility analysis.
This script is published as fully open-source in compliance with TradingView's House Rules. It utilizes standard, publicly available algorithms and does not contain any protected or hidden code.
Settings
All lengths, sources, and colors for the JMA lines and Bollinger Bands are fully customizable in the settings menu, allowing you to tailor the indicator to your specific trading style and asset.
I hope with this indicator Traders even Beginner can can control their emotions which increase the probabilities of the winning rates and cutting the losing strength
Purposely I Didn't plant the High low or Buy Sell signals in the chart. Because everything is in the chart where volatility Signal with the Bollinger Band and Buy Sell Signal in the JMA Dynamic colors. and that's enough to decide when to take trade and when not to.
Thank You and Happy Trading
Recession Warning Model [BackQuant]Recession Warning Model
Overview
The Recession Warning Model (RWM) is a Pine Script® indicator designed to estimate the probability of an economic recession by integrating multiple macroeconomic, market sentiment, and labor market indicators. It combines over a dozen data series into a transparent, adaptive, and actionable tool for traders, portfolio managers, and researchers. The model provides customizable complexity levels, display modes, and data processing options to accommodate various analytical requirements while ensuring robustness through dynamic weighting and regime-aware adjustments.
Purpose
The RWM fulfills the need for a concise yet comprehensive tool to monitor recession risk. Unlike approaches relying on a single metric, such as yield-curve inversion, or extensive economic reports, it consolidates multiple data sources into a single probability output. The model identifies active indicators, their confidence levels, and the current economic regime, enabling users to anticipate downturns and adjust strategies accordingly.
Core Features
- Indicator Families : Incorporates 13 indicators across five categories: Yield, Labor, Sentiment, Production, and Financial Stress.
- Dynamic Weighting : Adjusts indicator weights based on recent predictive accuracy, constrained within user-defined boundaries.
- Leading and Coincident Split : Separates early-warning (leading) and confirmatory (coincident) signals, with adjustable weighting (default 60/40 mix).
- Economic Regime Sensitivity : Modulates output sensitivity based on market conditions (Expansion, Late-Cycle, Stress, Crisis), using a composite of VIX, yield-curve, financial conditions, and credit spreads.
- Display Options : Supports four modes—Probability (0-100%), Binary (four risk bins), Lead/Coincident, and Ensemble (blended probability).
- Confidence Intervals : Reflects model stability, widening during high volatility or conflicting signals.
- Alerts : Configurable thresholds (Watch, Caution, Warning, Alert) with persistence filters to minimize false signals.
- Data Export : Enables CSV output for probabilities, signals, and regimes, facilitating external analysis in Python or R.
Model Complexity Levels
Users can select from four tiers to balance simplicity and depth:
1. Essential : Focuses on three core indicators—yield-curve spread, jobless claims, and unemployment change—for minimalistic monitoring.
2. Standard : Expands to nine indicators, adding consumer confidence, PMI, VIX, S&P 500 trend, money supply vs. GDP, and the Sahm Rule.
3. Professional : Includes all 13 indicators, incorporating financial conditions, credit spreads, JOLTS vacancies, and wage growth.
4. Research : Unlocks all indicators plus experimental settings for advanced users.
Key Indicators
Below is a summary of the 13 indicators, their data sources, and economic significance:
- Yield-Curve Spread : Difference between 10-year and 3-month Treasury yields. Negative spreads signal banking sector stress.
- Jobless Claims : Four-week moving average of unemployment claims. Sustained increases indicate rising layoffs.
- Unemployment Change : Three-month change in unemployment rate. Sharp rises often precede recessions.
- Sahm Rule : Triggers when unemployment rises 0.5% above its 12-month low, a reliable recession indicator.
- Consumer Confidence : University of Michigan survey. Declines reflect household pessimism, impacting spending.
- PMI : Purchasing Managers’ Index. Values below 50 indicate manufacturing contraction.
- VIX : CBOE Volatility Index. Elevated levels suggest market anticipation of economic distress.
- S&P 500 Growth : Weekly moving average trend. Declines reduce wealth effects, curbing consumption.
- M2 + GDP Trend : Monitors money supply and real GDP. Simultaneous declines signal credit contraction.
- NFCI : Chicago Fed’s National Financial Conditions Index. Positive values indicate tighter conditions.
- Credit Spreads : Proxy for corporate bond spreads using 10-year vs. 2-year Treasury yields. Widening spreads reflect stress.
- JOLTS Vacancies : Job openings data. Significant drops precede hiring slowdowns.
- Wage Growth : Year-over-year change in average hourly earnings. Late-cycle spikes often signal economic overheating.
Data Processing
- Rate of Change (ROC) : Optionally applied to capture momentum in data series (default: 21-bar period).
- Z-Score Normalization : Standardizes indicators to a common scale (default: 252-bar lookback).
- Smoothing : Applies a short moving average to final signals (default: 5-bar period) to reduce noise.
- Binary Signals : Generated for each indicator (e.g., yield-curve inverted or PMI below 50) based on thresholds or Z-score deviations.
Probability Calculation
1. Each indicator’s binary signal is weighted according to user settings or dynamic performance.
2. Weights are normalized to sum to 100% across active indicators.
3. Leading and coincident signals are aggregated separately (if split mode is enabled) and combined using the specified mix.
4. The probability is adjusted by a regime multiplier, amplifying risk during Stress or Crisis regimes.
5. Optional smoothing ensures stable outputs.
Display and Visualization
- Probability Mode : Plots a continuous 0-100% recession probability with color gradients and confidence bands.
- Binary Mode : Categorizes risk into four levels (Minimal, Watch, Caution, Alert) for simplified dashboards.
- Lead/Coincident Mode : Displays leading and coincident probabilities separately to track signal divergence.
- Ensemble Mode : Averages traditional and split probabilities for a balanced view.
- Regime Background : Color-coded overlays (green for Expansion, orange for Late-Cycle, amber for Stress, red for Crisis).
- Analytics Table : Optional dashboard showing probability, confidence, regime, and top indicator statuses.
Practical Applications
- Asset Allocation : Adjust equity or bond exposures based on sustained probability increases.
- Risk Management : Hedge portfolios with VIX futures or options during regime shifts to Stress or Crisis.
- Sector Rotation : Shift toward defensive sectors when coincident signals rise above 50%.
- Trading Filters : Disable short-term strategies during high-risk regimes.
- Event Timing : Scale positions ahead of high-impact data releases when probability and VIX are elevated.
Configuration Guidelines
- Enable ROC and Z-score for consistent indicator comparison unless raw data is preferred.
- Use dynamic weighting with at least one economic cycle of data for optimal performance.
- Monitor stress composite scores above 80 alongside probabilities above 70 for critical risk signals.
- Adjust adaptation speed (default: 0.1) to 0.2 during Crisis regimes for faster indicator prioritization.
- Combine RWM with complementary tools (e.g., liquidity metrics) for intraday or short-term trading.
Limitations
- Macro indicators lag intraday market moves, making RWM better suited for strategic rather than tactical trading.
- Historical data availability may constrain dynamic weighting on shorter timeframes.
- Model accuracy depends on the quality and timeliness of economic data feeds.
Final Note
The Recession Warning Model provides a disciplined framework for monitoring economic downturn risks. By integrating diverse indicators with transparent weighting and regime-aware adjustments, it empowers users to make informed decisions in portfolio management, risk hedging, or macroeconomic research. Regular review of model outputs alongside market-specific tools ensures its effective application across varying market conditions.
Dynamic S/R System - Pivot + ChannelDynamic S/R System - Pivot + Channel
A comprehensive Support & Resistance indicator combining dual methodologies for institutional-grade price level analysis
📊 CORE FEATURES
Dual Detection System
• Pivot-Based Levels - Historical turning points with intelligent touch counting
• Dynamic Channel S/R - Trend-aware linear regression boundaries
• Smart Level Management - Auto-merges similar levels, removes weak/outdated ones
Volume Integration
• Multi-timeframe volume analysis using EMA oscillator and spike detection
• Volume confirmation for all breakout signals to filter false moves
• Real-time volume status (Normal/High/Spike) in live information panel
Intelligent Touch Counting
• Automatic level validation through touch frequency analysis
• Strength classification with visual differentiation (colors/thickness)
• Level labels showing exact touch count (S3, R5, etc.)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎨 VISUAL ELEMENTS
Line System
Solid Lines: Pivot-based S/R levels
Dashed Lines: Dynamic channel boundaries
Color Coding:
• 🔵 Blue/🔴 Red: Standard support/resistance
• 🟠 Orange: Strong levels (multiple touches)
• 🟣 Purple: Channel S/R levels
Signal Labels
• "B" - Pivot S/R breakout with volume confirmation
• "CB" - Channel boundary breakout
• "Bull/Bear Wick" - False breakout detection (wick rejections)
Information Panel
Real-time analysis displays:
• Total resistance/support levels detected
• Closest S/R levels to current price
• Volume status and position relative to levels
• Current market position assessment
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ KEY ADVANTAGES
Multi-Method Validation
Combines historical pivot analysis with dynamic trend channels for comprehensive market view
False Breakout Protection
• Volume confirmation requirements
• Wick analysis to identify failed attempts
• Multiple validation criteria before signal generation
Adaptive Level Management
• Automatically updates as new pivots form
• Removes outdated/weak levels
• Maintains clean, relevant level display
Institutional-Grade Analysis
• Touch counting reveals institutional respect levels
• Volume integration shows smart money activity
• Strength classification identifies high-probability zones
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⏰ OPTIMAL USE CASES
Best Timeframes
• Daily - Primary recommendation for swing trading
• 4-Hour - Intraday analysis and entries
• Weekly - Long-term position planning
Ideal Markets
• Crypto pairs (especially ETH/BTC, BTC/USD)
• Forex majors with good volume data
• Large-cap stocks with institutional participation
Trading Applications
• Entry/exit planning around key S/R levels
• Breakout confirmation with volume validation
• Risk management using nearest S/R for stops
• Trend analysis through channel dynamics
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⚙️ CONFIGURATION GUIDELINES
Conservative Setup (Higher Confidence)
Min Pivot Strength: 3-4
Volume Threshold: 25-30%
Max Levels: 6-8
Aggressive Setup (More Signals)
Min Pivot Strength: 2
Volume Threshold: 15-20%
Max Levels: 10-12
🔔 ALERT SYSTEM
Breakout Alerts
• Resistance/Support breaks with volume confirmation
• Channel boundary violations
• Approaching strong S/R levels
Advanced Notifications
• Strong level approaches (within 0.5% of price)
• False breakout detection
• Volume spike confirmations
📈 TRADING STRATEGY GUIDE
Entry Strategy
1. Wait for price to approach identified S/R level
2. Confirm with volume analysis (spike/high volume preferred)
3. Watch for wick formations indicating rejection
4. Enter on confirmed breakout with volume or bounce with rejection
Risk Management
• Use nearest S/R level for stop placement
• Scale position size based on level strength (touch count)
• Monitor volume confirmation for exit signals
Market Context
• Combine with higher timeframe trend analysis
• Consider overall market sentiment and volatility
• Use channel direction for bias confirmation
Transform complex S/R analysis into actionable trading intelligence with institutional-level insights for professional trading decisions.
Silver BulletSilver Bullet is a trading tool built for finding cleaner, higher-probability setups. It focuses on key windows of market movement and adds helpful tools like daily range levels and candlestick patterns.
Whether you’re trading breakouts or reversals, Silver Bullet gives you a clearer view of the market and more confidence in your setups.
⸻
🔹 Trading Setup #1: Macro Time
The Macro Time setting offers two modes: Macro Bullet and Silver Bullet. Both help traders focus on specific times when the market tends to deliver clean moves.
• Macro Bullet is based on the high and low of a full macro session. It automatically detects the session’s range and bias, then offers optimal entries for either Long or Short setups. Once the session resolves, it provides Fibonacci-based levels for entry, target, and stop loss.
• Silver Bullet is based on ICT concepts and focuses on the hourly range for London, NY AM, and NY PM sessions. It’s designed for quick time blocks and highlights key levels as the session unfolds.
To use this setup, set Macro Time to “ICT Sessions” and select your preferred mode under Bullet Mode.
⸻
🔹 Trading Setup #2: Daily Range
Enable Daily Range to draw Fibonacci levels based on either the previous day’s candle or the current day’s developing range. These levels help you identify potential support, resistance, and midpoint zones throughout the day.
With the current day’s range, levels automatically update in real time as new highs or lows form — keeping your chart aligned with evolving price action.
⸻
🔹 Trading Setup #3: Candlestick Patterns
Turn on Candlestick Patterns to automatically highlight clean reversal signals such as Hammers, Hanging Men, Shooting Stars, and Tweezers. Each pattern is detected using specific criteria and trend filters to reduce noise and improve reliability. They work especially well as confirmation signals around key levels or session zones.
Silver Bullet brings structure, clarity, and precision to your intraday trading. By combining time-based bias, price action levels, and pattern recognition, it helps you trade with purpose — not guesswork. Use one setup or combine all three for a complete view of the market, tailored to your style and session of choice.
Gabriel's Laguerre RSI📈 Gabriel's Laguerre RSI
An Adaptive Momentum Oscillator with Laguerre Filtering and Efficiency Ratio Smoothing
🔍 Overview
"Gabriel's Laguerre RSI" is an advanced momentum oscillator that combines the strengths of the Laguerre Recursive Smoothing, the Efficiency Ratio (ER) for dynamic responsiveness, and a Laguerre-based signal filter built on an Ultimate Smoother foundation. This hybrid construction provides a smoother, more adaptive RSI-like oscillator that responds effectively to both trend strength and cyclical price behavior.
🧠 Core Concepts
Laguerre RSI (LaRSI):
Uses a recursive Laguerre smoothing algorithm that applies layered feedback levels (L0 to L3) to separate upward and downward price movements. The result is a normalized oscillator that ranges between 0–100 and is more resistant to noise than traditional RSI.
Efficiency Ratio (ER):
Measures the signal-to-noise ratio in price movement over a given length. A higher ER implies trend dominance, while a lower ER indicates consolidation. This dynamic ER is used to adaptively control the Laguerre smoothing intensity, making the indicator self-adjusting to different market regimes.
Laguerre Filter (Signal Line):
A sophisticated smoothing function layered on top of the Laguerre RSI output. It uses the Ultimate Smoother (a zero-lag Butterworth-style smoother) and a multi-level Laguerre polynomial to create a responsive yet stable signal line that acts as a confirmation filter or crossover signal.
⚙️ Inputs
LRSI Source:
Select the input data for the oscillator (default is close).
LRSI Length:
Defines the window size for the Efficiency Ratio. The ER adapts the smoothing depth of the Laguerre RSI.
Laguerre Filter Length:
Sets the responsiveness of the Laguerre Filter signal line. Lower values = faster reaction; higher values = smoother trend confirmation.
📏 Levels and Visuals
Horizontal Lines:
80: Overbought zone
50: Median reference
20: Oversold zone
Plots:
Blue Line: Adaptive Laguerre RSI
Olive Line: Laguerre Filter (Signal Line)
📌 How to Use
Trend Confirmation:
Use crossovers between the Laguerre RSI and the Laguerre Filter for trend signals.
Bullish Signal: LRSI crosses above the filter
Bearish Signal: LRSI crosses below the filter
Overbought/Oversold Detection:
LRSI values above 80 or below 20 suggest potential reversal or mean-reversion zones, especially when divergence or volume confluence exists.
Volatility Adaptation:
Because the Efficiency Ratio dynamically controls the Laguerre smoothing, this indicator automatically adjusts to quiet and volatile markets, minimizing whipsaws.
🧪 Why It’s Powerful
Adaptive to market noise and trend quality (via ER)
Smooth yet responsive signal generation (via multi-layer Laguerre and Ultimate Smoother)
Reduced lag and enhanced reversal detection compared to standard RSI
Wx2 Treasure Box – Institutional EntryBuy:-
Entry: Above the box
SL: Below the box
Sell:-
Entry :Below the box
SL: Above the box
RRR: 1:2
Best Location near 200MA
TF: Any TF
Watch My Video:
youtu.be
скрипт чат gpt//@version=5
indicator("Swing+DCA Strategy", overlay=true, max_labels_count=500)
// ===== EMA =====
ema7 = ta.ema(close, 7)
ema26 = ta.ema(close, 26)
ema200 = ta.ema(close, 200)
plot(ema7, color=color.yellow, linewidth=1, title="EMA 7")
plot(ema26, color=color.red, linewidth=1, title="EMA 26")
plot(ema200, color=color.white, linewidth=1, title="EMA 200")
// ===== MACD =====
fastLength = 8
slowLength = 24
signalLength = 9
macdValue = ta.ema(close, fastLength) - ta.ema(close, slowLength)
macdSignal = ta.ema(macdValue, signalLength)
macdHist = macdValue - macdSignal
// MACD визуализация в отдельном окне
macdColor = macdHist >= 0 ? color.green : color.red
plot(macdValue, color=color.new(color.blue, 0), title="MACD Line", display=display.none)
plot(macdSignal, color=color.new(color.orange, 0), title="MACD Signal", display=display.none)
plot(macdHist, style=plot.style_columns, color=macdColor, title="MACD Histogram", display=display.none)
// ===== RSI =====
rsi = ta.rsi(close, 14)
hline(70, 'RSI Overbought', color=color.red)
hline(50, 'RSI Midline', color=color.gray)
hline(30, 'RSI Oversold', color=color.green)
// ===== Supertrend =====
atrPeriod = 10
factor = 3.0
= ta.supertrend(factor, atrPeriod)
plot(supertrend, color=direction < 0 ? color.red : color.green, title="Supertrend")
// ===== ADX =====
adx = ta.adx(14)
plotchar(adx > 20, char="▲", location=location.bottom, color=color.green, size=size.tiny, title="ADX>20")
// ===== Pivot Points Classic =====
pivotType = input.string("Classic", "Pivot Type", options= )
piv = request.security(syminfo.tickerid, "D", ta.pivothigh(high, 3, 3))
plotshape(piv, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny, title="Pivot High")
pivl = request.security(syminfo.tickerid, "D", ta.pivotlow(low, 3, 3))
plotshape(pivl, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny, title="Pivot Low")
// ===== Smart DCA (условная подсветка) =====
buyZone = rsi < 35 and close < ema200
bgcolor(buyZone ? color.new(color.green, 85) : na, title="Smart DCA Zone")
// ===== Alerts =====
longSignal = ta.crossover(ema7, ema26) and macdValue > macdSignal and rsi > 50 and adx > 20
shortSignal = ta.crossunder(ema7, ema26) and macdValue < macdSignal and rsi < 50 and adx > 20
plotshape(longSignal, title="Buy Signal", style=shape.labelup, color=color.green, text="BUY", size=size.small, location=location.belowbar)
plotshape(shortSignal, title="Sell Signal", style=shape.labeldown, color=color.red, text="SELL", size=size.small, location=location.abovebar)
alertcondition(longSignal, title="Buy Alert", message="Swing+DCA: BUY signal!")
alertcondition(shortSignal, title="Sell Alert", message="Swing+DCA: SELL signal!")
Intraday SmartVWAP + Double EMA + 15 min High & Low
The indicator is for intraday, shows the below.
1. VWAP
2. EMA's
3. First 15 mins High and Low
Recommended time frame is 3 minutes.
Risk Ladder📝 Description:
The Risk Ladder plots visual risk levels above and below a selected price, helping traders instantly assess risk exposure per contract across key price intervals.
This tool offers two modes:
✅ Live Mode – Automatically anchors to the current market price
✅ Manual Mode – Anchor the ladder to your custom trade entry price (e.g., after placing a position)
Each level displays the cumulative risk in dollars, calculated based on:
Contract size
Tick value for the symbol (auto-detected for ES, NQ, CL, etc.)
Distance from entry price
🎨 Fully Customizable:
Interval between levels (e.g. every 10 points)
Number of levels above/below
Line color, width, and style
Label size, shape (tag or box), color, and offset
Toggle between live or manual entry modes
💡 Use Cases:
Visualize risk tiers before or after entering a position
Define profit-taking and stop-loss zones based on risk multiples
Clean overlay to complement your price action, VWAP, or R:R strategy
🔁 How to Use:
Select whether to use manual entry or follow live price
Adjust your risk interval and contract size
Watch the ladder instantly reflect total risk every level
Intraday Smart PlusIntraday Smart Plus
The indicator is for intraday day, shows the below.
1. VWAP
2. Day Open Line
3. First 15 minutes High and Low
4. Support and Resistance Lines
Recommended time frame is 3 minutes
Kairi Trend Oscillator [T3][T69]📌 Overview
The Kairi Trend Oscillator is a Japanese-inspired hybrid oscillator combining Heikin-Ashi trend clarity with the Kairi (乖離率) indicator — a measure of price deviation from a moving average. This dual-layer system gives you both trend direction and trend strength/health, designed to highlight trend maturity and avoid overextended entries.
✨ Features
Heikin-Ashi or normal candlestick input modes
Multiple moving average options: SMA, EMA, DEMA, VWMA, and Kijun
Visual color-coded trend zones: overbought, oversold, healthy, weak, and reversal conditions
Full Kairi column plot with dynamic coloring
Adaptive logic for trend detection (linear regression or Heikin-Ashi structure)
Built-in reversal detection based on divergence between Kairi and trend direction
⚙️ How to Use
Choose Candle Type: Select Heiken Ashi or Normal Candlesticks via the Candle Mode dropdown.
Select Source: Choose open, high, low, or close as the input for Kairi computation.
Set MA Type & Length: Configure the moving average mode and its length under Moving Average Settings.
Interpret the Plot:
Green/Red bars: Show Kairi oscillator values above/below 0
Background color: Shows current trend (green = uptrend, red = downtrend)
Candle color overlays:
🟩 Teal = Overextended Bulls
🟥 Maroon = Overextended Bears
✅ Green = Healthy Uptrend
🔻 Red = Healthy Downtrend
🟨 Light tones = Weak trends
🔄 Blue/Fuchsia = Possible reversal detected
🔧 Configuration
Inputs:
Candle Mode: Heiken Ashi or Normal Candle Sticks
Source: Open, High, Low, Close
MA Mode: SMA, EMA, DEMA, VWMA, or Kijun
MA Length: Default is 29
🧪 Advanced Tips
Use Heikin-Ashi mode for better trend smoothing.
Kairi divergence (e.g., bullish Kairi in a downtrend) may signal upcoming reversal — watch for blue or fuchsia bars.
Combine with momentum indicators (e.g. RSI or MACD) for confluence-based setups.
For mean reversion strategies, fade extreme Kairi readings (> ±5%).
⚠️ Limitations
Not suited for ranging markets without trend.
Kairi extremes may remain elevated in strong trends — avoid early counter-trend entries.
Reversal logic is not a confirmation signal; use with caution.
📌 Disclaimer
This script is educational and illustrative. Always backtest thoroughly before using in live markets.
Low Volume Regions (Captura de liquidez)"Low Volume Regions"
Detects and highlights price zones where Bitcoin rapidly moved through with unusually low traded volume—approximating low-volume nodes. Adjacent sparse-volume bins are merged into cleaner regions. Zones above the current price are green, below are red; the emptiest zone (strongest low-volume signature) is tagged with “! Low Volume Region.” Opacity encodes scarcity: darker/less transparent means lower volume. Designed to surface liquidity capture areas likely to be revisited.
This indicator identifies and visualizes “low volume regions” in the price action of Bitcoin—price areas that were traversed quickly with little trading activity, creating potential liquidity gaps that the market may later revisit. These regions approximate what traders refer to as low-volume nodes (LVNs) or thin zones on a volume profile, without relying on native volume-profile data.
How it works:
It analyzes the last N candles (configurable lookback) and divides the price range into discrete bins.
Volume is accumulated per bin based on historical closes to estimate where trading was sparse.
Bins with volume below a chosen percentile threshold are marked as low-volume.
Nearby low-volume bins are merged into broader regions to reduce clutter and reflect meaningful sparse-volume zones.
Each merged zone’s average volume is used to compute a “scarcity” score; zones with comparatively less volume are rendered more opaque (stronger visual emphasis).
Zones above the current price are colored green, zones below are colored red.
The most extreme low-volume region (the one with the lowest relative volume) is flagged with the label “! Low Volume Region”, while others are labeled “Low Volume Region”.
Visuals:
Filled boxes (zones) show aggregated low-volume price regions projected forward.
Opacity scales: emptier (lower volume) regions are darker/less transparent.
Single label per region indicates its nature; the strongest zone includes an exclamation mark prefixed to the label.
Color indicates relative position to current price (bullish above / bearish below).
Key inputs / parameters:
lookback: Number of candles to include in the volume analysis window.
binsCount: Granularity of price partitioning.
percentileThreshold: Defines how “low” volume must be to qualify (e.g., 25 picks the bottom 25% by volume).
zoneWidthBars: How far the detected region extends to the right for visibility.
mergeGapFactor: Controls how aggressively adjacent low-volume bins are merged.
Interpretation:
Traders can use these regions as potential areas of liquidity capture or imbalance. Price often revisits such thin zones to fill them (retracement) before continuing in the prevailing direction. The highlighted “strongest” zone (with the exclamation) is the most pronounced candidate for such behavior.
Usage tips:
Combine with overall trend/context to decide if a revisit is a corrective opportunity or a trap.
Use the zones as potential support/resistance or entries/exits when price returns.
Adjust lookback and binsCount to suit the time frame (higher lookback + more bins for higher timeframes).
Limitations:
This is an approximation of volume-profile behavior using only candle close-based binning; it does not replace full-profile footprint or order-book analysis.
Zones are recalculated on the latest candle only to reduce clutter; historical persistence or revisit detection must be handled externally if needed.
Example use case:
On a daily BTC chart, a sharp green candle that quickly leaps above a narrow consolidation with low volume leaves behind a “Low Volume Region.” If price later retraces, traders watch that zone for potential liquidity capture or a bounce.
Blue DotThis indicator identifies high-probability long entry signals by combining stochastic momentum analysis with moving average trend confirmation. It's designed to catch oversold bounces in stocks that are already in established uptrends.
Circuit Breaker Table (NSE Style)🛡️ NSE Circuit Breaker Table – With Volatility-Based Band Support
This script displays a real-time circuit breaker table for any stock, showing the Upper and Lower circuit limits in a clean 2x2 grid. It’s especially useful for Indian traders monitoring NSE-listed stocks.
✅ Key Features:
📊 Upper & Lower Limits based on the previous day’s close
⚡ Optional ATR-based dynamic volatility band calculation
🎨 Customizable font sizes (Small / Medium / Large)
✅ Table neatly positioned on the top-right corner of your chart
🟢 Upper circuit shown in green, 🔴 lower circuit in red
Works on all NSE stocks and adapts automatically to charted symbols
⚙️ Customization Options:
Use static percentage bands (e.g., 10%)
Or enable ATR mode to reflect dynamic circuit potential based on recent volatility
This tool helps you stay aware of where a stock might get halted — useful for momentum traders, circuit breakout traders, and anyone monitoring volatility limits during intraday sessions.
Dual Session ORB S/R Lines Pro by Yendor_BShort description:
Clean opening-range breakout support/resistance lines for London and US sessions with confirmed breakout labels and alert-ready signals. UTC-based, adjustable start point, customizable styling, minimal clutter.
Detailed description:
What it does:
Captures the Opening Range (default first 15 minutes) for London and New York (US) sessions in UTC, plots the high and low as support/resistance lines, and marks confirmed breakouts when price closes beyond those levels. Lines can begin at either the range end or session start and persist for the configured session length.
Key Features:
ORB defined over the first N minutes after session open (configurable, default 15).
Two sessions: London and US (New York) with separate start times.
High/low support & resistance lines per session:
Selectable start point: Range End or Session Start.
Independently customizable color, width, and style (solid/dashed/dotted) for each high and low.
Confirmed breakout labels: only on the first candle that closes beyond the ORB high or low after the range completes (prior close must be inside).
Alerts and alertconditions for breakout long/short per session, usable in TradingView’s alert dialog.
Fully UTC-based. Works on any timeframe; 1-minute or 5-minute recommended for precision.
Minimal visual clutter; no persistent shaded boxes in this version.
Inputs explained:
ORB Duration (minutes): Length of the opening range used to calculate session high and low.
Session Length (hours): How long the S/R lines remain active (typically full session).
London / US Start (UTC): Session open times in UTC.
Line Start Point: Choose whether the lines begin at the range end or at the session start.
High/Low Styling: Independent color, thickness, and style for each session’s high and low.
Breakout Labels: Toggle one-time confirmed breakout annotations.
Alerts: Enable breakout alert messages.
Example workflows:
Monitor the first 15 minutes of the London session.
After the range, wait for a candle to close beyond the high or low for a confirmed breakout.
Use the label or alert to trigger entry logic (retest, continuation, etc.).
Repeat for the US session; compare overlaps for higher conviction.
Alert setup:
Open the Alerts panel. Choose one of the built-in alertconditions: London Breakout Long, London Breakout Short, US Breakout Long, US Breakout Short. Set frequency to Once Per Bar Close. Customize notification/webhook payload if automating.
Preset suggestions:
Standard London ORB: 15 minute range, lines from range end, green high / lime low.
Standard US ORB: 15 minute range, lines from range end, blue high / aqua low.
Overlap Bias: Both sessions active, lines start from session start, differentiated styles.
Tips & best practices:
Combine with external volume or volatility filters to reduce false breakouts. Use on correlated pairs to observe consistent session structure. Treat broken ORB levels as flipped support/resistance on revisit. Prefer confirmed closes beyond lines rather than wick touches.
Limitations / disclaimer:
Provides structural visualization and breakout signaling; does not guarantee profitability. Always apply proper risk management and confirm with additional context. Backtest settings before live use.
Tags:
#ORB #OpeningRangeBreakout #SessionTrading #LondonSession #NewYorkSession #SupportResistance #Breakout #Intraday #Pinev6 #TradingView #Forex #TrendStructure #Alerts #USD #EURUSD #TradingSignals #UTCBased #PriceAction #MarketStructure #IntradayBreakouts
