Cumulative Volume Delta Candles Aggregated (Lite)Cumulative Volume Delta Candles Aggregated (Lite)
Multi-Exchange CVD Visualization in Candle Format
This indicator provides an aggregated Cumulative Volume Delta (CVD) view across multiple major perpetual futures exchanges in one chart. It is designed for traders who want a broader perspective on buying and selling pressure without switching between multiple charts or relying on a single exchange feed.
What It Does
Combines volume delta data from Binance, Bybit, OKX, Bitget, and Coinbase into a unified representation.
Displays CVD as candlesticks, where each candle reflects the open, high, low, and close of cumulative delta for the selected period.
Offers a clear visual of how buying and selling pressure evolves across markets in a structured, familiar candle format.
Key Features
✔ Exchange Aggregation: Incorporates data from several top futures markets available on TradingView.
✔ Anchor Reset: Allows you to set an anchor timeframe (e.g., daily) to reset cumulative values for better readability and analysis.
✔ Unit Normalization: Since exchanges report volumes in different units, the indicator normalizes all data and outputs values denominated in the base currency (coins) for consistency.
✔ Hidden OHLC Outputs: Provides open, high, low, and close values as hidden plots for use with other indicators or strategies.
✔ Lightweight Design: Optimized for efficiency while handling multiple real-time data requests.
Why It’s Different
Unlike standard single-exchange CVD tools, this indicator aggregates the majority of perpetual volume data available on TradingView, offering a more representative view of market sentiment. The candle-based representation of CVD introduces an additional layer of structure, helping traders identify shifts in momentum and pressure with more context than a simple cumulative line.
Use Cases
- Spotting aggregated buy/sell pressure trends across multiple exchanges.
- Confirming breakout or reversal signals with broader volume delta context.
- Serving as a custom data source for other indicators or algorithmic strategies.
Analyse de la tendance
Fibonacci Momentum CascadeThe Foundation: FMC Indicator:
The Fibonacci Momentum Cascade (FMC) is an AI-enhanced technical indicator that automates Fibonacci analysis, removing the guesswork and doubt that plagues manual drawing. Instead of relying on subjective human input, the FMC uses a proprietary Momentum Cascade Engine™ that constantly analyzes market strength to detect significant shifts in buying and selling pressure. When confirmed, it automatically identifies the most relevant market trend, cascades fresh Fibonacci levels, and grades potential technical setups. It features 100% automated swings, adaptive real-time analysis, and professional setup grading with Primary Setups (▲P / ▼P) for A+ formations and Secondary Setups (▲S / ▼S) for supplementary patterns.
The Adaptive Edge: AI Co-Pilot:
Our AI analyzes multiple data sources including market sentiment, technical patterns, fundamental factors, and news events to generate comprehensive market insights. It also fine-tunes the FMC indicator inputs for today's market, outputting personalized settings optimized for multiple timeframes (1d, 4h, 1h, 15m, 5m) — removing guesswork and maximizing precision for your asset.
The Force Multiplier: The Hub:
The Hub is our community intelligence platform where users share market analyses and insights. When you or others request AI analyses, they become available in The Hub for everyone to access without using credits. This creates a growing library of market insights across all asset classes. You can browse community analyses, discover trending assets, and benefit from the collective wisdom of experienced traders—essentially getting free analyses beyond your monthly credits.
Hurst Momentum Oscillator | AlphaNattHurst Momentum Oscillator | AlphaNatt
An adaptive oscillator that combines the Hurst Exponent - which identifies whether markets are trending or mean-reverting - with momentum analysis to create signals that automatically adjust to market regime.
"The Hurst Exponent reveals a hidden truth: markets aren't always trending. This oscillator knows when to ride momentum and when to fade it."
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📐 THE MATHEMATICS
Hurst Exponent (H):
Measures the long-term memory of time series:
H > 0.5: Trending (persistent) behavior
H = 0.5: Random walk
H < 0.5: Mean-reverting behavior
Originally developed for analyzing Nile river flooding patterns, now used in:
Fractal market analysis
Network traffic prediction
Climate modeling
Financial markets
The Innovation:
This oscillator multiplies momentum by the Hurst coefficient:
When trending (H > 0.5): Momentum is amplified
When mean-reverting (H < 0.5): Momentum is reduced
Result: Adaptive signals based on market regime
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💎 KEY ADVANTAGES
Regime Adaptive: Automatically adjusts to trending vs ranging markets
False Signal Reduction: Reduces momentum signals in mean-reverting markets
Trend Amplification: Stronger signals when trends are persistent
Mathematical Edge: Based on fractal dimension analysis
No Repainting: All calculations on historical data
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📊 TRADING SIGNALS
Visual Interpretation:
Cyan zones: Bullish momentum in trending market
Magenta zones: Bearish momentum or mean reversion
Background tint: Blue = trending, Pink = mean-reverting
Gradient intensity: Signal strength
Trading Strategies:
1. Trend Following:
Trade momentum signals when background is blue (trending)
2. Mean Reversion:
Fade extreme readings when background is pink
3. Regime Transition:
Watch for background color changes as early warning
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🎯 OPTIMAL USAGE
Best Conditions:
Strong trending markets (crypto bull runs)
Clear ranging markets (forex sessions)
Regime transitions
Multi-timeframe analysis
Market Applications:
Crypto: Excellent for identifying trend persistence
Forex: Detects when pairs are ranging
Stocks: Identifies momentum stocks
Commodities: Catches persistent trends
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Developed by AlphaNatt | Fractal Market Analysis
Version: 1.0
Classification: Adaptive Regime Oscillator
Not financial advice. Always DYOR.
Racktor Analysis Assistant
Racktor Analysis Assistant — Feature Overview
The Racktor Analysis Assistant is a multi-module market-structure toolkit that plots pivots, BoS/ChoCh levels, session breakouts, inside bars, and higher-timeframe BTS/STB trap signals — with complete styling controls and alerting.
Smart Pivot Engine (ZigZag Core)
- Adaptive pivot period switching based on timeframe threshold.
- ZigZag stream tracks pivot types (H/L, HH/HL/LH/LL) with Major & Minor streams.
- Clean visuals: optional ZigZag line & pivot labels with customizable style, width, and color.
Major & Minor Structure Signals
- Detects BoS and ChoCh for both Major and Minor swings.
- Updates External Trend on Major events and Internal Trend on Minor events.
- One-time triggers per level via locking.
- Per-category styling for Major/Minor Bullish & Bearish BoS and ChoCh.
- Alerts with symbol, pivot, timeframe, and time, limited to specific timeframes if desired.
Inside Bar Module
- Toggleable Inside Bar detection.
- Custom colors for bullish and bearish inside bars.
- Optional alerts on detection.
Session Breakout Suite
- Custom session window with shaded box.
- On session close, plots High/Mid/Low breakout lines extendable for N hours.
- Optional previous day & week high/low lines.
- Breakout vs Liquidity Sweep modes (close-based or wick-based confirmation).
- Display styles: Fixed (triangles) or Moving (vertical dotted lines).
- Alerts for “first event” or “every event.”
BTS/STB Trap (Higher-Timeframe ID1/ID2 Logic)
- BTS/STB toggle with selectable check timeframe (default: 4H).
- STB (bullish, Sell→Buy): strict ID1/ID2 relationships, both candles bullish; green circle below HTF ID1 low.
- BTS (bearish, Buy→Sell): strict ID1/ID2 relationships, both candles bearish; red circle above HTF ID1 high.
- Non-repainting; dots appear only at HTF candle close.
- Timeframe-aware rendering (dots show only on selected timeframe).
- Alerts for STB/BTS at HTF close.
Styling & Limits
- Per-feature color/style/width customization.
- Generous limits for boxes, labels, and lines.
- Session tools limited to ≤ 120-minute charts for accuracy.
Anti-Repaint
- HTF signals use lookahead_off and HTF-close gating to avoid repainting.
- BoS/ChoCh and Session logic track prior values and use locks to prevent duplicates.
Quick Start
Set the Timeframe Threshold and pivot periods for lower/higher TFs.
Enable desired Major/Minor BoS/ChoCh lines and customize styles.
Activate Inside Bar Module if required.
Configure Session Breakout window, mode, and alert settings.
Enable BTS/STB detection, keeping 4H default or selecting a custom TF.
Add alerts for chosen signals and let the assistant annotate structure, sessions, and HTF traps.
Best Use with Racktor's Core Trading Strategy
For traders who want structure clarity without clutter, this Analysis-Assistant is built to keep your chart actionable and adaptive.
Fearless R:RFearless R:R – Precision Risk/Reward Visualization
Fearless R:R is a clean and powerful risk management tool designed to help traders plan and execute trades with discipline. It lets you set your Entry, Take Profit, and Stop Loss levels directly on the chart, then automatically calculates and displays:
Risk/Reward ratio in real-time
Percentage distance to TP and SL
Position sizing based on account equity and risk %
Fees and slippage impact
Current P/L tracking as price moves
The indicator also anchors your setup visually on the chart with shaded RR zones, price-scale labels, and a compact info table. Dedicated alert conditions are included for Entry Hit, Take Profit Hit, and Stop Loss Hit, allowing you to automate trade management notifications.
Whether you’re scalping or swing trading, Fearless R:R keeps your focus on structured decision-making and consistent execution.
Trend Exhaustion Signals AjayFx - CypherTradingNetworkExhaustion Signals at trend exhaustion points. Is a work in progress with tweaks and stuff but will get there.
ARVELOV ORB + HighlightARVELOV ORB + Highlight
This indicator is designed to identify and visualize the Opening Range Breakout (ORB) for a selected trading session. The ORB is defined as the high and low price range during the first few minutes of the market open. Traders often use this range to spot potential breakout opportunities or gauge early market sentiment.
Key Features:
Customizable ORB Session: Default is 09:30–09:45 (15 minutes), but users can adjust the start and end times.
ORB High and Low Lines: Plots the highest and lowest prices reached during the ORB session.
Highlighted ORB Zone: The area between the ORB high and low is shaded to provide a clear visual of the opening range.
Intraday Timeframe Friendly: Works best on intraday charts with a timeframe equal to or smaller than the ORB duration.
Visual Aid for Breakouts: Helps traders quickly spot when the price breaks above or below the ORB, a common trigger for intraday trading strategies.
How It Works:
When the session starts, the indicator captures the first bar’s high and low as the initial ORB.
As the session progresses, it updates the ORB high and low if new highs or lows occur within the session.
The highlighted rectangle between the ORB high and low makes it easy to see the early trading range at a glance.
Use Case:
Traders can use this indicator to monitor potential breakout levels.
The ORB zone can also act as support/resistance for early intraday trades.
Auto Trend Channel with Fibonacci‼️ PLEASE USE WITH LOG CHART
🟠 Overview
This indicator introduces a novel approach to trend channel construction by implementing a touch-based validation system that ensures channels actually function as dynamic support and resistance levels. Unlike traditional linear regression channels that simply fit a mathematical line through price data, this indicator validates channel effectiveness by measuring how frequently price interacts with the boundaries, creating channels that traders can reliably use for entry and exit decisions.
🟠 Core Idea: Touch-Based Channel Validation
The fundamental problem with standard regression channels is that they often create mathematically correct but practically useless boundaries that price rarely respects. This indicator solves this by introducing a dual-scoring optimization system that evaluates each potential channel based on two critical factors:
Trend Correlation (70% weight): Measures how well prices follow the overall trend direction using Pearson correlation coefficient
Boundary Touch Frequency (30% weight): Counts actual instances where price highs touch the upper channel and lows touch the lower channel
This combination ensures the selected channel not only follows the trend but actively serves as support and resistance.
🟠 Trading Applications
Trend Following
Strong Uptrend: Price consistently bounces off lower channel and Fibonacci levels
Strong Downtrend: Price repeatedly fails at upper channel and Fibonacci resistance
Trend Weakening: Price fails to reach channel extremes or breaks through
Entry Strategies
Channel Bounce Entries: Enter long when price touches lower channel with confirmation; short at upper channel touches
Fibonacci Retracement Entries: Use 38.2% or 61.8% levels for pullback entries in trending markets
Breakout Entries: Trade breakouts when price closes beyond channels with increased volume
🟠 Customization Parameters
Automatic/Manual Period: Choose between intelligent auto-detection or fixed lookback period
Touch Sensitivity (0.1%-10%): Defines how close price must be to count as a boundary touch
Minimum Touches (1-10): Filter threshold for channel validation
Adaptive Deviation: Toggle between calculated or manual deviation multipliers
XAUUSD/SPX Slope IndicatorThe XAUUSD/SPX Slope Indicator for TradingView calculates the slope of the XAUUSD (Gold) to SPX (S&P 500) ratio using linear regression over a customizable lookback period (default 20 bars). It plots the slope to show whether Gold is outperforming or underperforming the S&P 500, with a positive slope indicating Gold's strength and a negative slope favoring stocks. A zero line and color-coded background (green for positive, red for negative) enhance readability, making it a useful tool for analyzing relative market trends. Ensure your platform supports XAUUSD and SPX symbols.
Delayed X Exit Strategy - Final Versionattempt at a scored lowerhigh, higher lower delayed exit strat
CycleVISION [BitAura]𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵
This Pine Script® indicator combines a long-term trend-following strategy with a cycle valuation Z-score analysis to generate a Trend Probability Indicator (TPI). The TPI aggregates signals from multiple trend and on-chain metrics to identify optimal entry and exit points for a single asset, with USD as a cash position. The system also calculates a comprehensive Z-score based on performance and valuation metrics to assess market cycles, aiming to enhance risk-adjusted returns for long-term investors.
Logic and Core Concepts
The 𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵 System uses two primary components to guide investing decisions:
1. Trend Probability Indicator (TPI)
Mechanism : Aggregates five proprietary, universal, trend signals and three on-chain metrics into a composite TPI score, normalized between -1 and 1.
Thresholds : Enters a long position when the TPI score exceeds a user-defined long threshold (default: 0.0) and exits to cash when it falls below a short threshold (default: -0.5).
Execution : Trades are executed only on confirmed bars within a user-specified backtest date range, ensuring robust signal reliability.
2. Cycle Valuation Z-Score
Mechanism : Computes an average Z-score from six metrics: Sharpe Ratio, Sortino Ratio, Omega Ratio, Weekly RSI, Crosby Ratio, and Price Z-Score, using a 1200-bar lookback period.
Purpose : Identifies overvalued or undervalued market conditions to complement TPI signals, with thresholds at ±1.8 for extreme valuations.
Visualization : Displays the average Z-score and individual components, with gradient-based bar coloring to reflect valuation strength.
Features
Dynamic Trend Signals : Combines trend and on-chain data into a single TPI score for clear long/cash decisions.
Comprehensive Valuation : Calculates Z-scores for multiple performance and price metrics to assess market cycles.
Customizable Inputs : Allows users to adjust TPI thresholds, backtest date ranges, and valuation metrics visibility.
Visual Outputs :
Valuation Table : Displays TPI score, Z-scores, and performance metrics (Sharpe, Sortino, Omega, Max Drawdown, Net Profit) in a configurable table (Lite, Medium, Full).
Equity Curve : Plots the system’s equity curve compared to buy-and-hold performance.
Price and TPI Plot : Overlays TPI-adjusted price bands with glow effects and filled gaps for trend visualization on the price chart.
Valuation Coloring : Applies backgrounds based on Z-score ranges (e.g., strong buy above 1.8, strong sell below -1.8).
Configurable Alerts : Notifies users of TPI signal changes (Long to Cash or Cash to Long) with detailed messages.
Color Presets : Offers five color themes (e.g., Arctic Blast, Fire vs. Ice) or custom color options for long/short signals.
Pine Script v6 : Leverages matrices, tables, and gradient coloring for enhanced usability.
How to Use
Add to Chart : Apply the indicator to any chart (the chart’s ticker is used for calculations, e.g., INDEX:BTCUSD ).
Configure Settings : Adjust TPI thresholds, backtest start date (default: 01 Feb 2018), and valuation metrics visibility in the Inputs menu.
Select Color Theme : Choose a preset color mode (e.g., Arctic Blast) or enable custom colors in the Colors group.
Monitor Outputs : Check the Valuation Table for TPI and Z-score data, and view the Price and TPI Plot for trend signals.
Analyze Performance : Enable the equity curve and performance metrics in the Backtesting Options group to compare results.
Set Alerts : Right-click a plot, select "Add alert," and choose "Trend Change: Long to Cash" or "Trend Change: Cash to Long" for notifications.
The system is optimized for daily timeframe and tested across various assets to ensure robustness.
Notes
The script is closed-source.
Use a standard price series (not Heikin Ashi or other non-standard types) for accurate results.
The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls.
A minimum 1200-bar lookback is mandatory for Z-score calculations to avoid errors, with warnings displayed if insufficient price history is available.
The BitAura watermark can be toggled in the Table Settings group.
Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
RotationSUITE [BitAura]𝐑otation𝑺𝑼𝑰𝑻𝑬
This Pine Script® indicator is a dynamic, multi-asset rotation system designed to optimize portfolio allocation by selecting the strongest-performing cryptocurrency from a user-defined basket of up to four assets, with USD as a cash position. By leveraging two complementary relative strength strategies and a proprietary Confidence Score, the system adapts to changing market conditions to aim for superior risk-adjusted returns compared to a buy-and-hold approach.
Logic and Core Concepts
The system’s goal is to allocate capital to the strongest asset at any given time, dynamically switching between two strategies based on market conditions:
1. Ratios System (Primary Strategy)
Mechanism : Performs relative strength analysis by evaluating the trend of each asset pair (e.g., BTCUSD/ETHUSD, BTCUSD/SOLUSD) using a universal trend-capturing function.
Scoring : Each asset earns points based on how many other assets (including USD) it outperforms.
Allocation : Allocates 100% of the portfolio to the asset with the highest score, following a "long the strongest" approach.
2. Alpha System (Defensive Strategy)
Mechanism : Measures each asset’s alpha (excess return relative to market risk, or beta) against a broad market benchmark. A fast trend-following model confirms momentum.
Allocation : Allocates to the asset with the highest positive alpha and confirmed momentum, or to USD if no asset meets the criteria.
3. Confidence Score (Decision Engine)
Monitors the Ratios System’s performance.
High Confidence : Uses the Ratios System for allocation during strong trends.
Low Confidence : Switches to the Alpha System or USD during choppy or corrective markets.
Features
Dynamic Strategy Switching : Seamlessly transitions between Ratios and Alpha systems based on the Confidence Score.
Customizable Asset Basket : Supports up to four user-defined crypto assets (e.g., INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , CRYPTO:SUIUSD ).
Comprehensive Visuals :
Performance Metrics Table : Displays Sharpe, Sortino, Omega, Max Drawdown, and Profit Factor for the system, its sub-strategies, and individual assets’ buy-and-hold performance.
Rotation Matrix : Shows pairwise trend scores for the Ratios System and alpha/trend data for the Alpha System.
Allocation Table : Indicates the current portfolio allocation (in %).
Equity Curve Analysis : Plots equity curves for the system, sub-strategies, and buy-and-hold for comparison.
Configurable Alerts : Notifies users of changes in allocation or Confidence Score.
Pine Script v6 : Utilizes advanced features like matrices and table formatting for enhanced usability.
How to Use
Add to Chart : Apply the indicator to any chart (the chart’s ticker does not affect calculations).
Configure Assets : In the settings ( Inputs -> Majors Rotation System Tickers ), define up to four crypto assets. Defaults include INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , and CRYPTO:SUIUSD .
Set Allocation Type : Choose Aggressive (100% to top asset), Moderate (80/20 split), or Conservative (60/40 split) in the settings.
Monitor Output : The Portfolio Allocations table shows the current allocation. Use the Performance Metrics and Rotation Matrix tables for deeper insights.
Analyze Equity : Enable equity curve plots in the settings to visualize performance.
Set Alerts : Right-click a plot, select "Add alert," and choose "Confidence Score changed" or "Calculated Portfolio Allocations Changed" to receive notifications.
The system uses robust trend and alpha functions, tested across various timeframes (4h, 8h, 12h) and asset pools to ensure reliability.
Notes
The script is closed-source
Ensure the chart uses a standard price series (not Heikin Ashi or other non-standard types) for accurate results.
The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls.
Performance metrics are calculated only on the last confirmed bar to optimize runtime efficiency.
Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
Wyckoff Smart Money Pro [MTF]Wyckoff Smart Money Pro detects trading ranges, phases, and events from the Wyckoff method and confirms them with VSA (Volume Spread Analysis), divergence checks, and a composite “smart money” strength index. It generates optional buy/sell signals only when multiple conditions align (phase, VSA, CO strength, effort vs. result, time/volume filters). The dashboard, POC/Value Area, and MTF backdrop help you manage context and risk in real time.
What this indicator does
Wyckoff Smart Money Pro is a multi-timeframe Wyckoff tool that:
⦁ Finds accumulation/distribution ranges and tracks Phases A–E.
⦁ Labels Wyckoff events (PS, SC, AR, ST, Spring/Test, SOS, LPS, UTAD, SOW, LPSY, TS…) and VSA patterns (No Demand/Supply, Stopping Volume, Upthrust, etc.).
⦁ Computes a Composite Operator (CO) Strength score from price/volume behavior to approximate “smart money” bias.
⦁ Adds divergence, effort vs. result, and a volume profile (POC & 70% value area) inside the detected range.
⦁ Provides buy/sell signals only when a configurable confluence is present (events + VSA + CO + EVR + phase + filters).
⦁ Supports MTF context (with a safe HTF resolver and fallbacks) and an Info Dashboard to summarize the current state.
It is designed to make the Wyckoff workflow visual and rules-based without promising results or automating decisions.
How it works (methods & calculations)
1) Range & Phase model
⦁ A sliding lookback searches for a valid range (recent highest high/lowest low), requiring width within 2–10× ATR(14) and a minimum bar count inside the bounds.
⦁ Once a range is active, the script derives Creek/Ice/Mid/Quartiles and classifies bars into Wyckoff Phases A–E using event recency (barssince) and where price sits relative to the range.
⦁ The background color reflects the current Phase; optional MTF events (from the chosen HTF) tint the background lightly for higher-timeframe context.
2) Wyckoff & VSA event engine
⦁ Events include PS, SC, AR, ST, Spring, Test, SOS, LPS, PSY, BC, UTAD, SOW, LPSY, TS, plus minor/multiple variants and Creek/Ice jumps.
⦁ VSA patterns detect No Demand/No Supply, Stopping Volume, Buying/Selling Climax, Upthrust/Pseudo Upthrust, Bag Holding, Shake-Out, Volume Dry-Up, etc., from spread vs. average spread and volume vs. average volume with tunable thresholds.
3) Smart-money (CO) Strength
⦁ CO Strength (0–100) blends: relative volume on up/down bars, professional accumulation/distribution, no-supply/no-demand, stopping volume, Springs/UTADs and Tests, SOS/SOW, price’s position inside the range, and volume-delta vs. its MA.
⦁ Persistent accumCount / distCount counters smooth temporary noise.
4) Divergence & Effort-vs-Result
⦁ Price vs. cum volume-delta divergence highlights weakening pushes.
⦁ EVR flags “High effort / no result” and potential Bullish/Bearish reversals, or “Low effort / high result” moves that are often unsustainable.
5) Volume Profile (inside range)
⦁ A 50-bin profile accumulates volume across the detected range to derive POC, VAH/VAL (70% value area). Lines update as the active range evolves.
6) Multi-Timeframe (MTF) safety
⦁ getHTF() converts your multiplier to a valid Pine timeframe string (e.g., 60, 240, 2D, 1W), and the script falls back to current timeframe values if an HTF request returns na.
⦁ If you enter a Custom HTF, it must be strictly higher than the chart’s timeframe (validated at runtime).
7) Signals & risk model
⦁ Signals are not tied to any single pattern. A buy may require Spring/Test/Shake-out/Creek Jump or SOS plus confirmation (VSA, CO>60, Phase C/D, divergence/EVR context).
⦁ Sell is symmetrical (UTAD/Failed Spring/SOW/Ice Jump + VSA + CO<40 + Phase C/D).
⦁ Minimum confidence is configurable; SL/TP and R:R lines are drawn from range edges or recent bar extremes.
⦁ Filters: trading hours, weekend avoidance, and a minimum volume threshold (relative to average) are available to suppress low-quality contexts.
⦁ Alerts include all major events, divergences, structure/phase changes, and the gated Buy/Sell signals (with a cooldown to reduce alert spam).
Inputs (key ones you’ll actually use)
⦁ Display Settings: toggle ranges, phases, events, VSA, signals, dashboard.
⦁ MTF: Enable HTF, set Multiplier or a Custom HTF (must be higher than current).
⦁ Range Detection: period / min bars / pivot strength.
⦁ VSA: volume sensitivity & climax multiplier.
⦁ Signal Settings: minimum confidence, risk/reward labels.
⦁ Advanced Filters: trading hours, weekend avoidance, and Min Volume Filter (× avg).
⦁ Colors: phase backgrounds, structure colors, and line styling.
How to use (practical flow)
1. Choose a symbol & timeframe you normally analyze (e.g., 5–60m for entries, 4H/D for context).
2. If using MTF, pick a multiplier (e.g., 5×) or a Custom HTF (e.g., 240/4H).
3. Wait for a range to form; watch Phase and CO Strength on the Dashboard.
4. When events (e.g., Spring/Test in Phase C or UTAD in distribution) appear with favorable VSA, CO, EVR, and volume/time filters, consider the signal and review R:R lines.
5. Use POC/VA and Creek/Ice/Mid as structure references; manage risk around the range edge that generated the setup.
On-chart legend (what the letters mean)
Wyckoff events (labels)
⦁ PS Preliminary Support, SC Selling Climax, AR Automatic Rally, ST Secondary Test
⦁ Spring Spring; Test Test of Spring
⦁ SOS Sign of Strength; LPS Last Point of Support
⦁ PSY Preliminary Supply, BC Buying Climax
⦁ UTAD Upthrust After Distribution; SOW Sign of Weakness; LPSY Last Point of Supply
⦁ TS Terminal Shakeout; MS Multiple Spring
⦁ CJ Creek Jump; IJ Ice Jump
⦁ mSOS / mSOW Minor Sign of Strength/Weakness
VSA patterns (tiny labels)
⦁ ND No Demand, NS No Supply, SV Stopping Volume, BC/SC Buying/Selling Climax
⦁ PA/PD Professional Accumulation/Distribution, BH Bag Holding, DU Volume Dry-Up
⦁ SO Shake-Out, TS Test for Supply (VSA test), UT Upthrust, PUT Pseudo Upthrust
Other visuals
⦁ Range box with Creek (upper third), Ice (lower third), Mid, Quartiles
⦁ POC/VAH/VAL: yellow solid (POC), purple dotted (value area)
⦁ VWAP and Dynamic S/R (stepline)
⦁ Green/Red triangles: gated Buy/Sell signals (only if min confidence & filters are met)
⦁ Risk label near the triangle: confidence /10 and R:R
Alerts included
⦁ Core events (Spring/Test/UTAD/SOS/SOW/TS), secondary events (SC/AR/BC/LPS/LPSY), VSA patterns, EVR states, Hidden Accumulation/Distribution, HTF events, Divergences, Phase/Structure changes, and the constrained Buy/Sell signals with a cooldown.
Notes, limits & best practices
⦁ This is not a buy/sell system; it’s a context & confirmation tool. Combine with your plan, risk limits, and execution criteria.
⦁ Long, illiquid, or news-driven bars can distort volume/spread logic; filters help but cannot eliminate this.
⦁ For MTF, if an exchange doesn’t support a specific HTF, the script falls back safely to current TF values to avoid na-propagation.
⦁ Dashboard rows/size/position are user-configurable to keep charts uncluttered.
Changelog (what’s new in this version)
⦁ MTF safety & validation (Custom HTF must be above current; graceful fallbacks for request.security() na results).
⦁ Performance caching for close position & up/down bar flags; drawing cleanup to stay under label/line limits.
⦁ Volume Profile upgraded to 50 bins; VA algorithm adjusted accordingly.
⦁ Signal gating with time/day/volume filters and alert cooldown to reduce noise.
⦁ Bug guards for parameter conflicts (e.g., rangeMinBars cannot exceed rangePeriod).
Disclaimer
This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any asset. Market risk is real; always test on a demo and trade at your own discretion.
Entradas + Reentradas EMA14 Confirmadas (H1/H4 + 15m)Indicador con tendencia 4h y 1h para tomar entradas en 5m y 15 usando estructura y tendencia
Turtle Body Setup by TradeTech AnalysisOverview
Turtle Body Setup is a minimalist, rules-based pattern detector built around a simple idea: a sequence of shrinking candle bodies (compression) often precedes a directional expansion (breakout). The script identifies those compression phases and then flags the first candle whose body expands significantly beyond the recent average, with polarity taken from the candle’s direction.
This is not a mash-up of many public indicators. It focuses on one original micro-structure concept: strict body-contraction → body-expansion . The logic is fully described below so traders and moderators can understand what it does and how to use it.
How it Works
1. Compression detection (body contraction):
• Over a user-defined window Compression Lookback (N), the script counts strictly shrinking candle bodies (|close-open|).
• When the count ≥ Min Shrinking Candles, we mark the market as in compression.
2. Expansion / Breakout qualification:
• Compute avgBody = SMA(body, N).
• A candle is a breakout when current body > avgBody × Breakout Body Multiplier.
• Polarity: green (close>open) → Bullish breakout; red (close
Hopiplaka Goldbach System with SignalsThis tool builds a dynamic price framework around the current market using a PO3 range and a set of mathematically derived Goldbach levels. It then scores nearby levels for quality (reliability) and produces Buy/Sell signals only when multiple, independent factors line up (price level quality, trend/“Tesla Vortex” state, ICT AMD phase, time confluence, volume bias, and momentum). The goal is to identify high-confluence inflection points rather than constant signals.
Core Concepts & Why They’re Combined
1. PO3 Range Framework
Price is segmented into a primary range (lower → upper) determined by a configurable size (3× ladder: 3, 9, 27, …, 2187).
⦁ If price sits near a boundary (configurable sensitivity), the range can auto-expand to the next 3× size to better fit current volatility.
⦁ This gives a stable “map” of the active trading area and its boundaries.
2. Goldbach Levels (Pure Hopiplaka implementation)
For each even number ≤ your precision limit, the script evaluates all prime-sum partitions (Goldbach partitions) and converts their prime ratios into price levels inside the PO3 range.
⦁ Levels are classified as Premium / Standard / Discount based on properties of the prime pair and a mathematical weighting.
⦁ Strict minimum spacing rules (exact %, OB %, liquidity-void %) prevent clutter and keep only the most meaningful levels.
3. Tesla Vortex (trend/phase strength)
A volatility/trend-aware state machine estimates whether market is in MMxM (accumulation/mean-revert like) or TREND conditions and maps price interaction with high-quality levels to phases (e.g., Order Block Formation, Distribution).
⦁ This helps filter signals: buys favored in MMxM near supportive levels; sells favored in TREND near premium/liquidity levels, etc.
4. ICT Integration (AMD, IPDA bias hooks)
A lightweight AMD phase detector classifies the recent window into Accumulation / Manipulation / Distribution and marks market structure bias. This is used as confluence with level quality and trend state.
5. Time Confluence (Goldbach time)
Swing highs/lows are checked against Goldbach-valid timestamps (based on hour+minute sums decomposable into prime pairs). Repeated alignment adds time-bias confidence. When price and time align, level reliability is boosted.
6. Volume & Liquidity Context
A rolling volume baseline marks High/Low Volume Bias; levels can be volume-weighted (raising or lowering their reliability). Proximity to PO3 extremes flags pending liquidity sweeps.
Why this mashup?
The system blends price geometry (PO3 + Goldbach), state/trend (Tesla Vortex), market-microstructure (ICT AMD), time confluence, and volume/liquidity into one numerically scored signal. Each component answers a different question; together they reduce false positives and favor high-quality trades near meaningful levels.
What You’ll See on the Chart
⦁ PO3 Range Boundaries: two dashed lines (“lower” and “upper”). Auto-expand darkens the boundary style slightly.
⦁ Goldbach Levels: horizontal lines colored by classification and context:
⦁ Premium (strong premium band), Standard, Discount
⦁ OB (Order-Block candidate), LV (Liquidity Void)
⦁ TESLA node (trend/phase aligned)
⦁ Heavier width = higher reliability; dashed/dotted styles encode class differences.
⦁ PO3 Liquidity Boxes: narrow yellow shaded bands above/below each level (configurable pip distance).
⦁ Markers
⦁ ▲ Buy arrow below bar when a Buy signal triggers
⦁ ▼ Sell arrow above bar when a Sell signal triggers
⦁ ● Small dot when price touches a Goldbach level
⦁ Data-window plots:
⦁ Tesla Vortex Strength (numeric)
⦁ Time Bias (positive = bullish, negative = bearish)
⦁ Volume Bias (+1 high / −1 low)
⦁ Signal Strength (+ for buy / − for sell, zero when no signal)
⦁ Label Legend (on level tags)
⦁ TESLA – Tesla-aligned level node
⦁ OB – Order-block-quality zone
⦁ LV – Liquidity-void zone
⦁ Premium / Standard / Discount – Level class
⦁ Gxx – Even number used to build the level (Goldbach reference)
⦁ Reliability – Final score after time/volume/tesla weighting
⦁ Optional extras: Vol (relative volume weight), Time (time-confluence strength)
How Signals Are Generated
A signal is proposed when price comes within a minimum distance of a high-reliability level. It is then accepted only if enough of these independent checks pass (you control the required count):
1. Tesla Vortex state matches direction (e.g., MMxM with buy; TREND with sell).
2. ICT AMD phase aligns (Accumulation → buy bias; Distribution → sell bias).
3. Goldbach time bias supports the direction.
4. Volume bias supportive (high-volume context boosts conviction).
5. Level quality (TESLA node or Premium class) is high.
6. Momentum alignment (recent 2–3 bars in the same direction).
Only when confluence ≥ your threshold and confidence ≥ 0.5 (scaled by sensitivity) will a Buy/Sell arrow print. Cooldown prevents rapid repeats.
Inputs (key ones)
⦁ PO3 Settings: range size, auto-expansion toggle, expansion sensitivity, liquidity band distance.
⦁ Goldbach Mathematics: precision limit, exact spacing rules, spacing for OB/LV classes.
⦁ Trading Signals: master toggle, sensitivity, min reliability, confluence required, cooldown, min distance to level, markers on/off.
⦁ Tesla Vortex / ICT: enable Vortex, sensitivity; enable AMD/IPDA analysis and lookback.
⦁ Time & Volume: enable Goldbach time and weighting; volume lookback; liquidity-pool detection.
⦁ Display: show historical/future projections, number of future bars, labels, path/phase overlays.
⦁ Colors: full palette per class/context (premium/discount/OB/LV/Tesla/time/volume, buy/sell/goldbach hit).
Alerts Included
⦁ Signals: “BUY Signal Generated”, “SELL Signal Generated”
⦁ Level Interactions: “Goldbach Level Hit”; “Near Goldbach Level”; “Tesla Vortex Node”; “Premium Level Alert”
⦁ PO3: “PO3 Upper Break”, “PO3 Lower Break”, “PO3 Range Expansion”
⦁ State Changes: “Tesla Vortex Phase Change”
⦁ Context: “Liquidity Sweep Imminent”, “Strong Time Confluence”
You can wire these to webhooks or notifications.
Suggested Workflow
1. Choose PO3 size that matches your instrument’s volatility; keep Auto-Expansion ON initially.
2. Set confluence threshold (start at 3–4) and cooldown (e.g., 10 bars).
3. Keep Time and Volume modules ON for additional reliability weighting.
4. Use arrows as filters, not blind entries—confirm with your execution plan and risk rules.
5. Prefer signals near Premium/Discount TESLA nodes that also show time confluence and supportive volume.
Practical Notes & Limitations
⦁ The mathematical framework is deterministic, but market execution is not—always manage risk.
⦁ Future projections and heavy labeling can be resource-intensive; tune visibility if performance drops.
⦁ If a market is extremely illiquid or gap-prone, spacing/filters may hide many levels (by design).
Disclaimer
This script is for educational and research purposes only and is not financial advice. Trading involves risk. You are responsible for your own decisions.
Stochastic ColorStochastic Color. A momentum indicator that compares a particular closing price of an asset to a range of its prices over a specific period of time. It helps identify overbought and oversold conditions in the market. The indicator ranges from 0 to 100, with readings above 80 typically considered overbought and readings below 20 considered oversold. It is often used to anticipate potential price reversals.
SMI Ergodic Oscillator ColorSMI Ergodic Oscillator Color. A variation of the True Strength Index (TSI), the SMI Ergodic Oscillator is a momentum indicator used to identify trend direction and potential reversals. It consists of a double-smoothed price momentum line and a signal line, helping traders spot buy and sell signals when the two lines cross. It is particularly useful for filtering out market noise and confirming the strength of a trend.
RSI SMA ColorRSI 14 with SMA 21 Color. A momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is typically used to identify overbought or oversold conditions in a market. An RSI above 70 may indicate that an asset is overbought, while an RSI below 30 may suggest it is oversold.
Trade Holding Time Background HighlighterTrade Holding Time Background Highlighter
This script visually highlights the chart background based on how old each bar is relative to the current time. It’s designed for crypto futures traders (and other active traders) who want to quickly see whether price action falls inside a day trading window, a swing trading window, or is considered older history.
⸻
🔑 Features
• Dynamic Background Highlighting
• Day Trader Zone (default = last 24 hours, light green).
• Swing Trader Zone (default = last 2 weeks, light yellow).
• Older Zone (beyond 2 weeks, light gray).
• Customizable Colors
• Choose your own background colors for each zone.
• Adjust opacity to make shading subtle or bold.
• Adjustable Timeframes
• Change day trading hours (default: 24 hours).
• Change swing trading window (default: 14 days).
• Simple, Intuitive Design
• Instantly see whether the current market structure is suitable for scalps/day trades, swing trades, or simply part of older price action.
⸻
🎯 Why Use This?
As a futures/perpetual trader, knowing the context of price action is crucial:
• Scalpers/Day Traders focus on the most recent 24h.
• Swing Traders look back 1–2 weeks.
• Anything older often has less weight for short-term setups.
This script highlights those zones automatically, saving you time and giving clarity on whether you’re trading inside a fresh opportunity window or old, less relevant price action.
RED: Buy, Sell & TargetsRED: Buy, Sell & Targets
What it is
- Buy & Sell Alerts — a multi-factor scoring engine that highlights potential reversal/exhaustion areas for both longs and shorts.
- Buy & Price Target — a bottom-finder that proposes the nearest meaningful upside target and tracks hits.
Both modules can be toggled independently in the settings; they’re enabled by default.
How to read the chart
1) Buy/Sell panel (scored signals)
- Each bar receives a Buy score and a Sell score from 0 to 10.
- When the score passes the adaptive threshold, you’ll see:
A transparent label (hover to see a checklist tooltip).
If the score is very high, a colored badge with the number appears near the bar.
- Color intensity ≈ conviction (deeper green/red = stronger confluence).
- Small dots mark qualified signals with scores below the “very high” tier.
Score interpretation (rule of thumb)
- 7+: Valid setup (moderate confluence).
- 8+: Stronger confluence.
- 9–10: High-conviction / rare events.
The minimum score to confirm a signal adapts to the timeframe; higher timeframes naturally demand comparable or slightly lower scores.
Note: On symbols without usable volume, you’ll see a top-right warning and the maximum possible score becomes 9.
2) Buy & Target panel (entries + exits)
- When a qualified bottom is detected and the nearest overhead structure offers enough room, a BUY label shows:
💰 Entry (close of the signal bar)
🎯 Target (nearest pivot-based objective above price)
- When price tags the target later, the script prints a 🎯 exit marker above that bar.
- A live stats table (top-right) summarizes Buys, Wins, Open trades, Win rate, Net P&L % for these target plays.
Alerts
This indicator ships with multiple alert conditions, including:
- Buy/Sell score tiers (e.g., “BUY ≥ 9”, “SELL ≥ 9”)
- Target module (“🎯 BUY (target ≥3%)”, “🎯 Target reached”)
Important: The checkboxes in settings only authorize alerts to fire; you still need to create alerts in TradingView and choose the desired condition.
Practical tips
- Prefer bar close for decisions and alerts to reduce noise.
- Cross-check signals across multiple timeframes (e.g., daily with intraday).
- Use the score as a confidence meter, not as an all-in trigger; combine with your risk management.
CF Cycle Low Projection V2Overview
This indicator helps traders analyze repeating market cycles by detecting significant pivot lows and projecting when the next cycle low may occur. It provides timing context to support decision-making but does not generate direct buy/sell signals.
How it works
Pivot detection : Confirms swing lows using left/right bars. Filters (minimum % move and optional ATR separation) ensure only meaningful lows are counted.
Cycle averaging : Calculates the average interval (and standard deviation) between recent pivot lows.
Projection : Adds the average interval to the last pivot low to forecast the next potential cycle low. If that point lies in the past, the script rolls forward until the projection is in the future.
Timing window : A shaded area around the ETA is drawn, based on either standard deviation or a percentage of the average, showing when a low is statistically more likely to occur.
Visualization:
• Vertical line = projected cycle low
• Shaded box = timing window
• Label = countdown in weeks/days/hours
• HUD = status, ETA, intervals used
How to use
Select your preferred timeframe (works on intraday and higher).
Allow pivots to accumulate; once the HUD shows Status: OK, projections will appear.
Use the ETA line and timing window together with structure, liquidity levels, and support/resistance zones.
Combine with your own strategy and risk management rules.
Notes
Works on any market supported by TradingView (crypto, stocks, forex, indices).
Filters can be adjusted to reduce noise (e.g., increase % move or ATR multiplier).
This tool is designed for cycle timing analysis only. It does not predict exact prices or guarantee outcomes.
Some traders refer to this approach as “camel cycle trading,” but here it is implemented as a pivot-based cycle projection tool.
SMC Overlay 📊 M5 (BOS/CHoCH, Confirm + Auto-Expiry)vBeta, Visualisierung von Strukturveränderung M5, Strukturanalyse, BOS/CHoCH-Tool