Buy Sell Signal (Improved Simple)Buy Sell Signal (Improved Simple) es un indicador mejorado del original
지표 및 전략
Hicham XAUUSD Key Levels PRO (1H / 4H + Psychological)🔑 XAUUSD Key Levels PRO | 1H / 4H Structure + Psychological Levels
This indicator is designed specifically for Gold (XAUUSD) traders who want clean, institutional-grade key levels without chart clutter.
It combines market structure levels with true psychological price levels used by institutions, making it ideal for scalping, intraday, and swing trading.
📌 Features
🔹 Market Structure Key Levels
Automatic 1H & 4H High / Low detection
Based on swing pivots (configurable strength)
Solid lines for clear structure visibility
🔹 Gold Psychological Levels (XAUUSD)
Major levels: every 500$ (strong institutional zones)
Medium levels: every 250$
Minor levels: every 10$
Dynamic levels around current price
No line spam, optimized performance
🔹 Visual Clarity
Solid / dashed / dotted line styles
Custom colors & line thickness
Optional price labels
Works perfectly on M1 → H4
🎯 Best Use Cases
Liquidity sweeps & reactions
Premium / discount zones
Stop-loss & take-profit placement
Confluence with BOS / CHoCH
London & New York sessions
⚙️ Fully Customizable
Toggle 1H / 4H levels
Adjust psychological level spacing
Enable / disable labels
Clean & lightweight (no lag)
⚠️ Notes
Optimized for XAUUSD (Gold)
Best results when combined with price action & structure
Not a trading signal indicator
If you want:
Session-based levels
Alerts on key levels
Smart Money Concepts integration
Feel free to comment or DM 👊
Happy trading 💛📈
ETIQUETAS 5M.This is the best way to determinate interval from five minutes to 1 minute in that time range of 9:25 am to 4:15 pm. you can know how to enter or exit trading action.
Momentum Table View (Bar-Based)// NOTE:
// This script uses bar-based lookbacks instead of calendar months.
// Approximate conversions for daily charts:
// - 21 bars ≈ 1 month
// - 63 bars ≈ 3 months
// - 252 bars ≈ 1 year
// For other timeframes, adjust accordingly for different time periods and needs.
// For hourly I have it set at 24*5, 24*5*4 and then finally 24*5*4 to give the same,
// daily, weekly and monthly aggregate returns but on the hourly scale.
// Of course you can split it anyway you like as well depends on the expected needs you have.
Running idea so there will likely be revisions to the z scoring to possibly a different method and the atan angle represented in the code will also likely be changed at some point as to maybe a regression method. These changes will take time as this is only a secondary platform for me not the main source of data. In saying that the table has the data representing the log returns of an asset of n bars which I decided on over the original more accurate daily, weekly and monthly close points which the user can always specify using this method if wanting to be more accurate with the standard method of momentum returns factor.
Bravo Backtest - Multi Timeframe Fair Value GapsBravo Backtest – Multi Timeframe Fair Value Gaps
This indicator displays Fair Value Gaps (FVGs) across multiple timeframes, with a strong focus on clarity, structure, and non-repainting behavior.
To reduce noise and keep charts clean, only Fair Value Gaps from your current chart timeframe and higher are shown. Lower-timeframe imbalances are intentionally filtered out.
Key features:
- Multi-timeframe Fair Value Gap detection
- Wick-to-wick, three-candle FVG logic
- Non-repainting: all FVGs are confirmed on candle close
- Automatic removal of invalidated FVGs (close through the zone)
- Adjustable lookback period to limit historical zones
- Optional bullish / bearish filtering
- Optional borders that inherit the FVG color
- Clean, professional UI designed for real trading use
This tool is built to support higher-timeframe context, execution clarity, and disciplined charting, making it suitable for both discretionary traders and structured trading models.
Developed and verified by Bravo Backtest.
Auto Harmonic Patterns [Trader-Alex])This indicator is a sophisticated technical analysis tool designed to automate the identification of Harmonic Patterns across financial markets. By utilizing a multi-layered scanning engine, it detects valid geometric structures in price action, helping traders identify high-probability reversal zones (PRZ) with precision.
Whether you are a scalper or a swing trader, this tool streamlines the complex process of measuring Fibonacci ratios, allowing you to focus on execution rather than manual drawing.
Key Features
Multi-Scale Scanning Engine: The indicator runs 5 independent scanning groups simultaneously. This allows it to detect patterns across different market distinct market cycles (micro-structures to macro-trends) within a single timeframe.
Comprehensive Pattern Support: Automatically recognizes a wide range of classic and modern harmonic patterns, including:
Gartley
Bat & Alt Bat
Butterfly
Crab & Deep Crab
Shark
Cypher
Predictive PRZ Technology (Potential Patterns): Unlike standard indicators that only show completed patterns, this tool projects "Potential Patterns" in real-time. It calculates the Potential Reversal Zone (PRZ) based on converging Fibonacci projections, giving you a clear visual of where the D-point (Entry) is likely to form before price arrives.
Smart Filtering & Optimization: To maintain a clean chart, the indicator includes an intelligent filtering system. If multiple patterns are detected in the same area, it automatically evaluates the geometry and risk-to-reward ratio to display only the most optimal setup.
Integrated Trade Management: For every valid pattern, the indicator automatically plots:
Entry Level: The optimal completion point.
Stop Loss (SL): Calculated based on invalidation structures.
Take Profit (TP1 & TP2): Based on standard harmonic retracement targets.
Visual Clarity: Distinguishes between Bullish (Green/Blue tones) and Bearish (Red/Orange tones) setups. Successful historical patterns and currently developing patterns are visually distinct for easy back-testing and live trading.
Disclaimer This tool is for educational and informational purposes only. Trading financial markets involves risk. Past performance of harmonic patterns does not guarantee future results. Always use proper risk management.
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此指標是一套高階的技術分析工具,專為自動化識別金融市場中的「諧波型態 (Harmonic Patterns)」而設計。透過多層次的掃描引擎,它能精準偵測價格行為中的幾何結構,協助交易者快速鎖定高勝率的潛在反轉區 (PRZ)。
無論您是短線交易者還是波段交易者,此工具都能簡化繁瑣的費波那契比例測量過程,讓您能專注於交易決策而非手動繪圖。
核心功能
多維度掃描引擎: 指標內建 5 組獨立的掃描運算邏輯,能夠同時運行。這意味著它能在單一圖表時間週期內,同時捕捉從小級別結構到大級別趨勢的各種型態。
支援多種經典型態: 自動識別市場上主流的諧波結構,包含:
加特利 (Gartley)
蝙蝠與變種蝙蝠 (Bat & Alt Bat)
蝴蝶 (Butterfly)
螃蟹與深海螃蟹 (Crab & Deep Crab)
鯊魚 (Shark)
賽福 (Cypher)
預測性 PRZ 技術 (潛在型態): 不同於一般指標僅顯示「已完成」的歷史型態,本工具具備即時預測功能。它能根據費波那契數列的匯聚點,計算出潛在反轉區 (PRZ),在價格到達前提前標示出預期的 D 點 (入場點)。
智能篩選與優化: 為了保持圖表整潔,指標內建智能過濾系統。當同一區域偵測到多個重疊型態時,系統會自動評估幾何結構與盈虧比,僅顯示條件最優異的一個交易機會。
整合式交易管理: 針對每一個有效型態,指標會自動計算並繪製:
入場價 (Entry): 型態完成的最佳價位。
止損位 (SL): 基於結構失效點的防守位置。
止盈位 (TP1 & TP2): 基於諧波回撤比例的標準獲利目標。
視覺化清晰呈現: 清楚區分看漲 (綠/藍色系) 與看跌 (紅/橙色系) 架構。歷史勝率回測線圖與正在發展中的潛在型態均有不同的視覺樣式,方便用戶進行複盤與實盤操作。
免責聲明 本工具僅供教學與輔助分析使用。金融市場交易具有風險,諧波型態的歷史表現不代表未來獲利保證。請務必做好個人風險管理。
HydraBot v1.2 publicenglish description english description english description english description english description english description english description english description english description
DisruptNEX Edge SystemDisruptNEX Edge System is an analytical overlay indicator designed to visualize market direction, trend maturity, exhaustion conditions, and impulse activity within a single, coherent framework.
The system is built as a structured analytical model rather than a collection of independent tools.
All visual elements are derived from a shared internal reference, ensuring consistency between trend context, exhaustion states, impulse activity, and higher-timeframe structure.
1. Market Regime & Trend Visualization
Illustration 1: Market regime visualization through candle coloring.
At the foundation of the system lies a price-centered baseline, computed as a windowed mid-range estimator with optional adaptive smoothing.
This baseline defines the current market regime:
Price above the baseline represents bullish directional pressure.
Price below the baseline represents bearish directional pressure.
The regime is expressed directly through candle coloring, allowing traders to visually identify the active trend without relying on additional overlays or separate panels.
This regime context acts as the primary reference for all subsequent components of the system.
2. Exhaustion Zones on the Price Chart
Illustration 2: Overbought / Oversold ribbons visualized directly on price.
DisruptNEX Edge System identifies potential exhaustion using a persistence-based evaluation of how consistently price holds above or below a volatility-adjusted reference.
Unlike oscillators displayed in a separate pane, exhaustion is visualized directly on the price chart using bounded ribbons.
Key characteristics of the exhaustion logic:
Overbought and Oversold states are detected as discrete state transitions.
Zones are marked at their initial appearance.
Visual persistence reflects state continuity rather than momentary fluctuations.
This approach helps traders assess when price reaches statistically stretched conditions relative to the active regime, often corresponding to areas where pullbacks or pauses may develop.
3. Candlestick Pattern Context
Illustration 3: Candlestick patterns displayed within the active trend context.
The system includes optional candlestick pattern detection displayed directly on the price chart as contextual information.
Patterns are evaluated relative to the active market regime and are commonly associated with short-term pauses, pullbacks, or localized price reactions within an existing trend.
Patterns are not interpreted as standalone reversal signals and do not provide trade instructions.
Their role is to complement trend context by highlighting moments where traders may choose to observe price behavior more closely.
4. Spark Impulses & Structural Reference Zones
Illustration 4: Spark impulses and dynamic structural reference zones.
Spark impulses highlight moments when directional pressure increases within the active market regime.
They are derived from a volatility-normalized measure of price displacement relative to the internal baseline and evaluated across multiple smoothing horizons.
This allows the system to identify shifts in directional activity rather than isolated price fluctuations.
Spark impulses commonly appear after consolidation, pullbacks, or localized hesitation and act as analytical confirmation that market activity is resuming in a given direction.
Alongside impulse visualization, the system derives dynamic structural reference levels based on recent price behavior and volatility.
These levels are updated only on the most recent bar and represent contextual support and resistance zones.
Structural reference levels are not predictive targets.
They serve as spatial guides, helping traders evaluate price positioning relative to recent structure and impulse activity.
5. Trend Power & Multi-Timeframe HUD
Illustration 5: Right-side HUD summarizing multiple timeframes.
The indicator includes a compact HUD panel that aggregates key structural information across multiple timeframes:
Overbought / Oversold state
Trend Power level
Trend direction
Trend Power quantifies how extended the current regime is by measuring price progression since the last confirmed regime change, normalized by volatility and mapped to a bounded scale.
This allows traders to distinguish between developing, established, and extended trends, while the multi-timeframe layout helps assess alignment between the current chart and higher-level market structure.
How to Read the Indicator
Start by observing candle coloring to identify the active market regime.
Use exhaustion ribbons to recognize areas where price may pause or pull back relative to the regime.
Treat candlestick patterns as contextual signals highlighting potential short-term reactions.
Look for Spark impulses as confirmation of renewed directional activity.
Use structural reference zones as orientation points when evaluating price location.
Consult the HUD to check trend direction, maturity, and exhaustion across higher timeframes.
Alerts & Usage Notes
Alerts are event-based and triggered only on confirmed state changes, including:
Regime transitions
Exhaustion state entries
Candlestick pattern detection
Spark impulse events
Important Notes
DisruptNEX Edge System is not an automated trading system.
It does not execute trades or provide trade instructions.
All outputs are analytical and visual in nature and are intended to support discretionary decision-making.
Session Sweep Strategy V3Johannes Spezial FVG Indikator :-) zur erkennung von FVG zu definierbaren Sessionzeiten.
USD Liquidity Regime IndexTrack global risk regimes with this USD Liquidity Composite —
It aims to be a daily macro indicator blending normalised DXY (50%), UUP (20%), 10Y Treasury yields (20%), and VIX (10%).
How to read:
When the blue index is above its red SMA: Strong USD, tightening liquidity → Risk-Off mode (often bearish for Nasdaq, BTC, and risk assets).
When the line is below: Weak USD, abundant liquidity → Risk-On (bullish environment).
Example: In 2022's bear market, the index stayed high above SMA most of the year, signalling persistent Risk-Off as USD surged.
Features on-chart table, regime background colors, and crossover alerts.
Great contextual tool for macro traders IMO.
Educational only — not financial advice.
Use at your own risk.
By @frank_vergaram
NY LONDON LUNCH AUTO**NY London Lunch Auto** is a precision session-anchor indicator designed for traders who focus on institutional timing and liquidity behavior.
This script automatically marks the **high and low of three key 15-minute New York session candles**:
• **3:00 AM NY** — London session expansion
• **8:00 AM NY** — New York open / kill zone
• **2:00 PM NY** — NY lunch / power hour transition
Each time one of these candles prints on the **15-minute chart**, the script captures its exact high and low and extends them forward as horizontal levels.
The levels remain **locked and unchanged** until the next key session candle appears, ensuring clean, non-repainting reference zones.
### Key Features
• Works **exclusively on the 15-minute timeframe**
• Automatically updates at **3AM, 8AM, and 2PM NY time**
• Levels stay fixed — no drifting or recalculation
• Clean, minimal design with customizable colors
• Ideal for liquidity sweeps, displacement, and ICT-style execution models
This indicator is built for traders who want **clarity, patience, and structure**, not clutter. It pairs seamlessly with liquidity sweep, displacement, and fair value gap strategies.
Optimized 1st Touch 10SMA After RunThis indicator is designed to identify strong stocks that have recently made a meaningful rally and are now experiencing their first controlled pullback to the 10-day simple moving average (10SMA). It scans for stocks that have moved at least 10% over the past 10 trading days, maintained upward momentum by riding above the 10SMA during the advance, and are trading within a broader uptrend. The signal triggers only when price makes its first touch of the 10SMA since the rally and closes back above it, indicating potential support and trend continuation rather than weakness. Additional filters such as volume contraction and higher-timeframe trend alignment help isolate high-quality setups where strong stocks are digesting gains before a potential next leg higher.
SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Sustained 200 SMA Cross (Locked to Daily)For individuals looking to track trend changes against the 200 day simple moving average. We are measuring 5 consecutive days changing from the above or below the 200 day SMA as a flag for a potential shift in trend.
SMI Trigger System SMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Wavelet Candlestick Slope Follower-Master Edition Here is a short description of this script:
This is a **Trend Following strategy** that utilizes advanced mathematics—the **Wavelet Transform**—to filter out market noise.
**Key Features:**
1. **Synthetic Candles:** The script does not analyze raw prices. Instead, it constructs "Wavelet Candles"—smoothed candles created through mathematical convolution of prices with a specific wavelet "kernel" (e.g., Mexican Hat, Morlet, Haar).
2. **Auto-Correction (Normalization):** This is the most critical technical feature of this code. The script automatically normalizes the weights. This ensures that even when using complex mathematical shapes (like the Mexican Hat), the output price remains accurate to the real chart scale and is not distorted.
3. **Strategy Logic:** The logic is very straightforward—the system enters a **Long** position when the smoothed closing price (`w_close`) is rising, and closes the position when it starts to fall.
4. **Visualization:** It draws new, cleaner candles (green/red) on the chart, revealing the "true" trend structure after filtering out temporary fluctuations.
This is a example of use idea of wavelet candle
HydraBot v1.2average bias of a bunch of indicators that blah blah blah i need to hit at least so many words to publish this
Daily Dynamic Grid StrategyHi everyone,
This strategy is built around a dynamic daily grid concept, using an upper and lower daily range that is automatically divided into multiple grid levels.
The idea is to take advantage of daily volatility by executing DCA entries on specific grid levels, based on predefined conditions.
Key points of the strategy & feature:
I recommend using 1H or 2H timeframe for this strategy
Take profit by grid
When DCA is active (>1 entry), the exit condition switches to close above the average price
A hard stop loss is applied
Includes an optional Trailing TP / SL to help maximize profit during strong moves
Like most DCA-based strategies, it tends to have a high win rate, but during strong market dumps, losses can become relatively large
Can also be used for backtest on Forex markets such as Gold, where using the trailing option is generally more effective
And still trial for the webhook, may continue to improve and update this strategy in future versions.
NY Session Range & FlowNY Session Range & Flow is a rule-based intraday futures indicator designed for the New York session, with a focus on MNQ / NQ price behavior.
This indicator does not predict the market. Instead, it maps context, structure, and flow so traders can make disciplined decisions with predefined risk.
🔍 Core Concepts
NY Session Range & Flow combines:
Session structure
Range usage (ADR / AWR)
VWAP positioning & slope
Liquidity sweeps
Supply & Demand zones
Opening Range Breakouts
Mean reversion vs trend continuation logic
All signals are graded and throttled to reduce noise and overtrading.
📌 What the Indicator Shows
🕒 Session Logic (NY Time)
RTH (09:30–16:00 NY)
Trade windows (AM / PM)
Opening Range (09:30–09:45)
ETH session ranges (for context only)
📊 Range & Regime Awareness
ADR / AWR usage
Identifies expansion vs exhaustion
Helps avoid trading when range is already spent
📉 Flow & Bias
VWAP with optional ATR bands
VWAP slope filter for directional bias
Mean reversion distance rules
🧲 Liquidity & Structure
Prior Day High / Low
NY High / Low / Mid
Opening Range High / Low
Liquidity sweep detection
📦 Supply & Demand Zones
Higher-timeframe pivot-based zones
ATR-adjusted zone thickness
Last active zone tracking
🎯 Signal Types (Graded)
Trend Continuation
Sweep Reversal
Opening Range Breakout (ORB)
Mean Reversion to VWAP
Each signal is scored and graded (A+ → C) based on:
Structure
Liquidity
VWAP alignment
Regime context
Only signals that meet your selected quality threshold are displayed.
⚖️ Risk Visualization
Fixed Stop Loss & Take Profits in ticks
Supports SL + TP1 + TP2
Optional ATR trailing structure
Visual SL/TP lines for clarity (manual execution)
This is a decision-support tool, not an auto-trading system.
📋 Range Usage Table
Displays real-time usage for:
RTH
ETH
Weekly
Monthly ranges
Color-coded to highlight expansion and exhaustion.
⚠️ Important Notes
Designed for manual trading
Best suited for futures traders
Optimized for MNQ / NQ, but adaptable
Not financial advice
🔧 Recommended Use
Combine with strict risk management
One trade at a time
Respect session context and range limits
CT Market Fragility & Systemic Risk Monitor v1.0CT ⊕ Market Fragility & Systemic Risk Monitor v1.0
Systemic Stress & Market Regime Monitor
OVERVIEW
Wall Street-grade structural monitoring now open-source.
CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 is a real-time systemic risk tool designed to detect fragility before it hits price. Built by former institutional traders, it delivers structural insight typically reserved for desks inside hedge funds and global macro desks.
This isn’t about finding entries or exits, it’s about understanding the environment you're trading in, and recognizing when it's shifting.
WHAT IT DOES
• Monitors six key market domains: Equities, Rates/Credit, FX (USD stress), Commodities, Crypto, and Macro
• Detects volatility stress, cross-domain coupling, and regime synchronization
• Classifies market structure into Normal → Fragile → Critical
• Shows a live dashboard with scores, coupling levels, and structural state
• Plots event markers (T1, T2, T3) for structural transitions
• Implements hysteresis logic to model post-stress 'memory
• Supports both single-domain ("Local Mode") and system-wide monitoring
HOW IT WORKS
This engine does not rely on traditional TA. No moving averages. No MACD. No patterns. No guesswork.
Instead, it measures how markets are behaving beneath price detecting when stress is:
• Building internally
• Spreading across domains
• Synchronizing into systemic fragility
T1 (🟠) — Early instability: acceleration in market coupling
T2 (🔵) — Fragile regime: multiple domains simultaneously stressed
T3 (🔴) — Critical regime: synchronized, system-wide stress
These are not buy/sell signals. They are structural regime alerts, the same kind used by institutions to cut risk before stress cascades.
WHY IT MATTERS
Most retail tools are reactive. They interpret surface-level patterns after the move.
This tool is different. It’s proactive – measuring pressure before it breaks structure.
Institutions have used structural fragility models like this for years. This script helps close that gap, giving everyday traders the same early warnings that pros use to reduce exposure and sidestep systemic blowups.
It’s not about finding the edge.
It’s about not getting crushed when the system breaks.
Whether you trade crypto, stocks, FX, or macro, this engine helps answer:
• Is the system stable right now?
• Are stress levels rising across markets?
• Is it time to tighten risk?
Institutions don’t wait for breakouts. They monitor structure.
Now, you can too.
KEY FEATURES
• Works on any asset class and any timeframe
• Fully customizable domain selection
• Three-tier structural alert system (T1–T3)
• Real-time dashboard: stress scores, states, and coupling levels
• Hysteresis modeling: post-stress “memory” detection
• Supports single-domain (local) or multi-domain (systemic) monitoring
• PineScript alerts built-in
RECOMMENDED USE
Active traders - all asset classes
Use the dashboard and T1–T3 alerts to stay aware of structural risk in real time.
Track multi-timeframe alignment to detect where risk originates and how it spreads across markets.
Crypto trader s
Monitor upstream domains (Equities, FX, Rates, Macro) to detect pressure before it reaches crypto.
Identify reflexive stress before Bitcoin reacts — and stay ahead of contagion events.
Macro & systematic traders
Use T1–T3 transitions as volatility filters, exposure governors, or dynamic risk overlays.
Build regime-aware models that adapt to shifting systemic conditions.
Examples & Visuals
Question: Would it have helped to know that at 9:30 on October 9th and again at 10:00 on October 10th that critical states were detected in the structural behavior of Bitcoin? Take a look:
30 min chart BTC shows two distinct T3 (critical) regime detections October 9th and 10:30 October 10th
5m BTC chart reveals high frequency instability for the same period, identifying instability, fragility, criticality
The 30minute BTC chart at 16:30 Friday October 10th,, a few hours after first detecting critical systemic risk
RISK DISCLAIMER
This is a structural analysis tool, not a predictive signal. It does not provide financial advice, trade entries, or forecasts. Use at your own risk. Full disclaimer embedded in the script.
Complexity Trading - From Wall St to Main St
No patterns. No repainting. No mysticism. Just logic, math, science and market structure - now made accessible to everyone.
Developer of LPPL Critical Pulse (LPPLCP), the Temporal Phase Model (TPM) and other
other advanced structural and attractor based systems inspired by Sornette’s LPPL framework and other differentiated thinkers.
Note on Methodology
This tool is not predictive, and not designed for academic publication.
It is a real-time structural monitoring system inspired by academically established concepts,
including LPPL attractor dynamics, cross-asset coupling, reflexivity, and phase regime transitions, implemented within the real-time constraints of PineScript, and intended for visual, exploratory, and diagnostic use.
Kriptano short sniperKriptano short sniper
An indicator for finding SHORT entry points after sharp price movements in the cryptocurrency market.
Features:
Pump Detector: Automatically detects price spikes on 15m, 30m, and 1h intervals with customizable thresholds.
Resistance Levels: Dynamic lines on 7 timeframes (5m-1W) with automatic deletion after a breakout.
Volume Profile: Volume distribution by price levels with a sentiment profile (bullish/bearish zones). Can help identify pump reversal points.
Kriptano short sniper
Индикатор для поиска точек входа в SHORT после резких ценовых движений на криптовалютном рынке.
Возможности:
Детектор пампа: автоматическое выявление скачков цены на интервалах 15m, 30m, 1h с настраиваемыми порогами
Уровни сопротивления: динамические линии с 7 таймфреймов (5m-1W) с автоудалением после пробития
Volume Profile: распределение объема по ценовым уровням с профилем настроений (бычьи/медвежьи зоны). Может помочь в определении точки разворота пампа.
Wavelet Candle Constructor (Inc. Morlet) 2Here is the detailed description of the **Wavelet Candle** construction principles based on the code provided.
This indicator is not a simple smoothing mechanism (like a Moving Average). It utilizes the **Discrete Wavelet Transform (DWT)**, specifically the Stationary variant (SWT / à Trous Algorithm), to separate "noise" (high frequencies) from the "trend" (low frequencies).
Here is how it works step-by-step:
###1. The Wavelet Kernel (Coefficients)The heart of the algorithm lies in the coefficients (the `h` array in the `get_coeffs` function). Each wavelet type represents a different set of mathematical weights that define how price data is analyzed:
* **Haar:** The simplest wavelet. It acts like a simple average of neighboring candles. It reacts quickly but produces a "boxy" or "jagged" output.
* **Daubechies 4:** An asymmetric wavelet. It is better at detecting sudden trend changes and the fractal structure of the market, though it introduces a slight phase shift.
* **Symlet / Coiflet:** More symmetric than Daubechies. They attempt to minimize lag (phase shift) while maintaining smoothness.
* **Morlet (Gaussian):** Implemented in this code as a Gaussian approximation (bell curve). It provides the smoothest, most "organic" effect, ideal for filtering noise without jagged edges.
###2. The Convolution EngineInstead of a simple average, the code performs a mathematical operation called **convolution**:
For every candle on the chart, the algorithm takes past prices, multiplies them by the Wavelet Kernel weights, and sums them up. This acts as a **digital low-pass filter**—it allows the main price movements to pass through while cutting out the noise.
###3. The "à Trous" Algorithm (Stationary Wavelet Transform)This is the key difference between this indicator and standard data compression.
In a classic wavelet transform, every second data point is usually discarded (downsampling). Here, the **Stationary** approach is used:
* **Level 1:** Convolution every **1** candle.
* **Level 2:** Convolution every **2** candles (skipping one in between).
* **Level 3:** Convolution every **4** candles.
* **Level 4:** Convolution every **8** candles.
Because of this, **we do not lose time resolution**. The Wavelet Candle is drawn exactly where the original candle is, but it represents the trend structure from a broader perspective. The higher the `Decomposition Level`, the deeper the denoising (looking at a wider context).
###4. Independent OHLC ProcessingThe algorithm processes each component of the candle separately:
1. Filters the **Open** series.
2. Filters the **High** series.
3. Filters the **Low** series.
4. Filters the **Close** series.
This results in four smoothed curves: `w_open`, `w_high`, `w_low`, `w_close`.
###5. Geometric Reconstruction (Logic Repair)Since each price series is filtered independently, the mathematics can sometimes lead to physically impossible situations (e.g., the smoothed `Low` being higher than the smoothed `High`).
The code includes a repair section:
```pinescript
real_high = math.max(w_high, w_low)
real_high := math.max(real_high, math.max(w_open, w_close))
// Same logic for Low (math.min)
```
This guarantees that the final Wavelet Candle always has a valid construction: wicks encapsulate the body, and the `High` is strictly the highest point.
---
###Summary of ApplicationThis construction makes the Wavelet Candle an **excellent trend-following tool**.
* If the candle is **green**, it means that after filtering the noise (according to the selected wavelet), the market energy is bullish.
* If it is **red**, the energy is bearish.
* The wicks show volatility that exists within the bounds of the selected decomposition level.
Here is a descriptive comparison of **Wavelet Candles** against other popular chart types. As requested, this is a narrative explanation focusing on the differences in mechanics, interpretation philosophy, and the specific pros and cons of each approach.
---
###1. Wavelet Candles vs. Standard (Japanese) CandlesThis is a clash between "the raw truth" and "mathematical interpretation." Standard Japanese candles display raw market data—exactly what happened on the exchange. Wavelet Candles are a synthetic image created by a signal processor.
**Differences and Philosophy:**
A standard candle is full of emotion and noise. Every single price tick impacts its shape. The Wavelet Candle treats this noise as interference that must be removed to reveal the true energy of the trend. Wavelets decompose the price, reject high frequencies (noise), and reconstruct the candle using only low frequencies (the trend).
* **Wavelet Advantages:** The main advantage is clarity. Where a standard chart shows a series of confusing candles (e.g., a long green one, followed by a short red one, then a doji), the Wavelet Candle often draws a smooth, uniform wave in a single color. This makes it psychologically easier to hold a position and ignore temporary pullbacks.
* **Wavelet Disadvantages:** The biggest drawback is the loss of price precision. The Open, Close, High, and Low values on a Wavelet candle are calculated, not real. You **cannot** place Stop Loss orders or enter trades based on these levels, as the actual market price might be in a completely different place than the smoothed candle suggests. They also introduce lag, which depends on the chosen wavelet—whereas a standard candle reacts instantly.
###2. Wavelet Candles vs. Heikin AshiThese are close cousins, but they share very different "DNA." Both methods aim to smooth the trend, but they achieve it differently.
**Differences and Philosophy:**
Heikin Ashi (HA) is based on a simple recursive arithmetic average. The current HA candle depends on the previous one, making it react linearly.
The Wavelet Candle uses **convolution**. This means the shape of the current candle depends on a "window" (group) of past candles multiplied by weights (Gaussian curve, Daubechies, etc.). This results in a more "organic" and elastic reaction.
* **Wavelet Advantages:** Wavelets are highly customizable. With Heikin Ashi, you are stuck with one algorithm. With Wavelet Candles, you can change the kernel to "Haar" for a fast (boxy) reaction or "Morlet" for an ultra-smooth, wave-like effect. Wavelets handle the separation of market cycles better than simple HA averaging, which can generate many false color flips during consolidation.
* **Wavelet Disadvantages:** They are computationally much more complex and harder to understand intuitively ("Why is this candle red if the price is going up?"). In strong, vertical breakouts (pumps), Heikin Ashi often "chases" the price faster, whereas deep wavelet decomposition (High Level) may show more inertia and change color more slowly.
###3. Wavelet Candles vs. RenkoThis compares two different dimensions: Time vs. Price.
**Differences and Philosophy:**
Renko completely ignores time. A new brick is formed only when the price moves by a specific amount. If the market stands still for 5 hours, nothing happens on a Renko chart.
The Wavelet Candle is **time-synchronous**. If the market stands still for 5 hours, the Wavelet algorithm will draw a series of flat, small candles (the "wavelet decays").
* **Wavelet Advantages:** They preserve the context of time, which is crucial for traders who consider trading sessions (London/New York) or macroeconomic data releases. On a wavelet chart, you can see when volatility drops (candles become small), whereas Renko hides periods of stagnation, which can be misleading for options traders or intraday strategies.
* **Wavelet Disadvantages:** In sideways trends (chop), Wavelet Candles—despite the smoothing—will still draw a "snake" that flips colors (unless you set a very high decomposition level). Renko can remain perfectly clean and static during the same period, not drawing any new bricks, which for many traders is the ultimate filter against overtrading in a flat market.
###Summary**Wavelet Candles** are a tool for the analyst who wants to visualize the **structure of the wave and market cycle**, accepting some lag in exchange for noise reduction, but without giving up the time axis (like in Renko) or relying on simple averaging (like in Heikin Ashi). It serves best as a "roadmap" for the trend rather than a "sniper scope" for precise entries.






















