ADX FAST and NOICE FREE DIThis tool is designed to identify trend strength and direction earlier than the traditional ADX/DI system.
Instead of relying on the normal Wilder smoothing, this version applies momentum projection to ADX (Fast ADX)
and then filters all directional movement signals through Hull smoothing to minimize market noise.
The result:
• Trends are detected faster
• Pullbacks are filtered more cleanly
• Sideways or weak structures become easy to avoid
Recommended Usage:
• Look for Fast ADX above the threshold to confirm trend environment
• Use Noise-Free +DI and -DI to confirm trend direction (bullish / bearish dominance)
• Background color highlights only when trend + direction are aligned
This is not a buy/sell signal generator by itself; it is best used as a trend and market condition confirmation layer.
Disclaimer:
This script is provided for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Market conditions vary and past performance does not guarantee future results.
Always perform your own analysis and risk management, and trade responsibly.
Trend Analysis
Trend Pulse Algo (LTM)Trend Pulse Algo LTM Indicator Description
Overview
Trend Pulse Algo LTM is an advanced multi layer technical indicator designed for TradingView that combines moving average MA crossovers confirmation signals pivot based structure analysis imbalance zone detection and overextension warnings to identify potential trend shifts continuations and reversal points. It aims to provide traders with reliable entry and exit signals in trending markets while highlighting areas of market inefficiency imbalances and overextended price moves that could signal exhaustion.
This indicator operates on a pulse concept where it detects rhythmic shifts in market momentum through layered MAs a quick MA for short term sensitivity a mid MA for intermediate confirmation and a long MA as a baseline trend filter. Signals are generated based on alignments and crosses between these MAs but with added layers of confirmation to reduce false positives such as requiring consecutive bars above below the long MA and breaks of prior pivot highs lows. It incorporates higher timeframe HTF analysis for imbalance zones to capture broader market context making it suitable for swing trading trend following or scalping on lower timeframes when combined with the overextension detector.
Unlike simple MA crossover systems for example standard dual EMA strategies this algo uses adaptive MA types based on timeframe pivot deviation for structural breaks and a tally based confirmation to filter noise. Imbalance zones identify fair value gaps or inefficiencies between candle bodies and wicks where price may retrace to fill. Overextension is calculated relative to the mid MA using a rolling mean absolute deviation MAD ratio highlighting potential tops bottoms in strong trends. The result is a visually clean or detailed based on mode overlay that colors bars backgrounds plots labels for signals and pivots and draws zones to guide decision making.
How It Works
MA Layers and Signal Generation
Three MAs quick mid long are computed using either SMA or EMA selected dynamically based on the charts timeframe for optimal responsiveness for example EMA on lower TFs for faster signals.
Early Signals A crossover of the quick MA above the mid MA while above the long MA triggers a Possible Bull label indicating early momentum shifts. A crossunder below triggers Possible Bear.
Confirmed Signals Bullish confirmation requires a set number of bars closing above the long MA plus alignment quick greater than mid and a break above the prior pivot high. Bearish requires bars below the long MA and a break below the prior pivot low. This uses a counter mechanism to ensure persistence reducing whipsaws. Breaks are detected via crossovers under of close versus prior highs lows.
State persistence tracks the current regime bull bear warn early coloring the chart accordingly until a new signal overrides it.
Pivot Detection and Structure
Pivots are identified by scanning for highs lows separated by a minimum bar depth with a percentage deviation threshold to confirm validity. This follows a zigzag like approach but with deviation filtering for robustness.
Labels like HH Higher High HL Higher Low LH Lower High LL Lower Low highlight market structure helping identify trends for example HH HL for uptrends or breakdowns. These are used internally to validate signal breaks.
Imbalance Zones
Zones detect imbalances or gaps between candle bodies and prior highs lows where unfilled inefficiencies attract price.
For bullish zones If open greater than close and high minus low two less than zero a zone is drawn from calculated top bottom limits. Bearish similarly for close greater than open.
Supports current TF HTF or both. Zones extend rightward until filled price touches the opposite side or mid line if enabled then either delete or shorten based on settings. Mid lines can act as fill triggers for partial closures.
HTF data is fetched via security for broader context resetting on new HTF bars.
Overextension Indicator
Measures price deviation from the mid MA relative to a rolling average RMA of relative deviations over a length.
Multipliers define tiers mild for example two times avg deviation moderate three times extreme four times. Circles plot above below bars in bull bear states when thresholds are exceeded signaling potential reversals for example red for extreme tops in uptrends. This is akin to a Bollinger Band squeeze expansion but normalized to MA distance for trend specific warnings.
Chart Coloring and Visuals
Background or candle coloring reflects the state green for bull red for bear orange for warn blue for early.
Modes control clutter Clean hides MAs zones pivots Balanced shows essentials Detailed includes all.
How to Use It
Setup Add to your chart via TradingViews indicator search. Adjust inputs based on asset timeframe for example shorter MA periods for volatile cryptos longer for stocks.
Trading Strategy Ideas
Trend Following Enter long on Confirmed Bull labels exit on Confirmed Bear or extreme overextension circles. Use imbalance zones as support resistance for stops targets for example buy dips to unfilled bullish zones.
Reversal Scalping Watch for Possible Bull Bear near pivot labels for example HL LL and overextension in the opposite direction. Confirm with zone fills.
Multi TF Analysis Set HTF to D for daily context on hourly charts zones from HTF often act as magnets.
Risk Management Place stops below prior lows in bulls or above highs in bears. Target zone edges or MA crosses. Avoid trading against strong states without confirmation.
Alerts Set up via TradingView for Early Up Down or Up Down Confirm to notify on signal edges.
Limitations Best in trending markets may lag in ranges. Test on historical data no indicator is foolproof combine with volume price action.
Detailed Input Settings
Below is a comprehensive breakdown of all user adjustable inputs from the settings panel grouped as in the script. Each explains what it controls its effect on the indicators logic and usage tips. Defaults are provided for reference.
Chart Mode
Chart Mode default Detailed Mode options Clean Mode Balanced Mode Detailed Mode
Controls visual detail level. Clean Mode hides MAs imbalance zones and pivots for a minimal overlay focused on signals and coloring. Balanced Mode shows MAs and signals but omits zones pivots. Detailed Mode displays everything for in depth analysis. Use Clean for live trading to reduce clutter Detailed for backtesting structure review.
Display Settings
Color Style default Candles options Background Candles
Determines how states bull bear warn early are visualized. Background colors the chart area for example green shading for bull. Candles colors bar bodies wicks directly. Background is subtler for multi indicator setups Candles emphasizes signals on naked charts.
Imbalance Zone HTF Config
Higher TF Period default D
Sets the higher timeframe for imbalance detection for example D for daily four H for four hour. This fetches broader data to identify significant zones. Use a TF four to five times your current for context for example daily on one H charts avoid very high TFs like W on intraday for relevance.
TF Mode default Current TF options Current TF Current plus HTF HTF Only
Defines timeframe handling for zones. Current TF uses only your charts TF. Current plus HTF combines both for layered zones. HTF Only ignores current TF. Current plus HTF is ideal for multi TF confluence HTF Only simplifies for swing traders.
Shift default ten min zero max five hundred
Horizontal offset in bars for current TF zone labels. Higher values shift labels rightward to avoid overlap. Adjust if labels crowd the chart.
HTF Shift default twenty min zero max five hundred
Similar to Shift but for HTF zone labels. Use larger offsets for HTF to distinguish them visually.
Imbalance Zone Core Options
Mid Line Fill default false
Enables a midpoint line in each zone zones fill close short when price touches this mid line instead of the far edge. Activates partial fill logic for more conservative zone closure. Enable for tighter risk in volatile markets.
Remove Filled Zones default true
If true completely deletes filled zones if false shortens them to the fill point keeping history. True clears clutter false retains context for review.
Display TF on Zone default false
Shows the timeframe for example D IZ on zone labels. Useful for distinguishing current versus HTF zones in combined mode.
Max Upward Zones default twenty min one max fifty
Limits displayed bullish upward zones removes oldest when exceeded. Lower for cleaner charts higher for historical depth.
Max Downward Zones default twenty min one max fifty
Same as above but for bearish downward zones.
Imbalance Zone Visuals
Upward Zone color green at ninety percent transparency
Color for current TF upward imbalance zones. Adjust opacity for visibility.
HTF Upward Zone color lime at eighty percent transparency
Color for higher timeframe upward imbalance zones. Differentiate from current for example lighter shade.
Downward Zone color red at ninety percent transparency
Color for current TF downward imbalance zones.
HTF Downward Zone color maroon at eighty percent transparency
Color for higher timeframe downward imbalance zones.
Mid Line Color color white at eighty five percent transparency
Color for the optional midpoint line in zones.
Text Color color white
Color for text labels on zones.
MA Layers
Quick MA Period default ten min one
Length for the fastest moving average sensitive to short term price. Shorter for example five for scalping longer for example fifteen for less noise.
Mid MA Period default twenty min one
Intermediate MA length used for crossovers and overextension base. Typically two times quick for balance.
Long MA Period default fifty min one
Baseline trend filter length. Longer for example one hundred for major trends shorter for active trading.
MA Variants by Period
Under one H default EMA options SMA EMA
MA type for timeframes under one hour for example EMA for faster response.
One H to less than five H default EMA options SMA EMA
MA type for one to five hour timeframes.
Five H to less than one D default EMA options SMA EMA
MA type for five hour to one day timeframes.
One D plus default EMA options SMA EMA
MA type for daily and higher timeframes. Adapt to market EMA for trends SMA for mean reversion.
Signal Confirmation
Bull Confirm Bars default one min zero
Consecutive bars needed above long MA for bull confirmation. Zero for instant higher for example three filters noise but delays entries.
Bear Confirm Bars default two min zero
Same for bear below long MA. Asymmetrical default higher for bears assumes uptrend bias.
Pivot Detection
Pivot Depth default six min one
Min bars between pivots. Higher reduces minor swings lower captures more structure.
Pivot Deviation percent default one point zero min zero point one
Percent change required for new pivot. Higher ignores small moves for example two percent for stocks zero point five percent for forex.
Display HH and HL default true
Shows labels for Higher Highs Lows bullish structure.
Display LH and LL default true
Shows labels for Lower Highs Lows bearish structure.
Overextension Indicator
Show Overextension Circles Potential Tops default true
Enables circles above bars in bull states for potential tops.
Show Overextension Circles Potential Bottoms default true
Enables below bars in bear states for bottoms.
Overextension Length default fourteen min one
Period for rolling relative deviation average. Matches RSI STOCH defaults for alignment.
Mild Multiplier default two point zero min zero point zero
Threshold for mild overextension yellow circle. Zero disables tier.
Moderate Multiplier default three point zero min zero point zero
For moderate orange.
Extreme Multiplier default four point zero min zero point zero
For extreme red. Tune lower for sensitive warnings in ranging markets.
Robust Scaled Dema | OquantOverview
The Robust Scaled DEMA indicator is a tool designed for traders seeking to identify potential trend directions in financial markets. It combines the smoothing capabilities of a Double Exponential Moving Average (DEMA) with a robust scaling mechanism to normalize the data, making it more resilient to outliers and extreme price movements. This scaling helps in generating long and short signals based on predefined thresholds, visualized through color-coded plots and bars. The indicator aims to provide a balanced view of market momentum, reducing the impact of noise while highlighting significant shifts in price behavior.
Key Factors/Components
DEMA (Double Exponential Moving Average): Serves as the core smoothing component, reducing lag compared to simple averages by emphasizing recent price action more effectively.
Robust Scaling Mechanism: Utilizes statistical measures like median and interquartile range to normalize the DEMA values, ensuring the indicator is less sensitive to extreme values or price spikes.
Thresholds: User-defined upper and lower levels that trigger long or short signals when the scaled DEMA crosses them.
Visual Elements: Includes plotted lines for the scaled DEMA and thresholds, plus color-coded candlestick bars for intuitive interpretation.
Alerts: Built-in conditions for notifying users of potential entry points for long or short positions.
How It Works
The indicator starts by applying a DEMA to the chosen price source to create a smoothed representation of the market's direction. This smoothed value is then scaled using a robust statistical approach that accounts for the distribution of recent DEMA values, centering it around a median and adjusting for variability to minimize the influence of outliers. The resulting scaled metric is compared against user-set upper and lower thresholds: crossing above the upper suggests a bullish momentum (long signal), while dipping below the lower indicates bearish conditions (short signal). A state variable tracks these conditions to color the chart accordingly, helping traders visualize regime changes. Optional alerts fire on transitions.
For Who Is Best/Recommended Use Cases
This indicator is ideal for traders who employ trend-following or momentum-based strategies and need tools that perform well in non-normal market conditions, such as during high volatility or in assets prone to spikes. Use cases include identifying entry/exit points in trending environments, confirming breakouts, or integrating into multi-indicator systems for added confirmation. Quantitative traders or those backtesting strategies will appreciate its customizable parameters for optimization.
Settings and Default Settings
Source: The price data input for calculations, such as close, open, high, or low. Default: close.
DEMA Length: Controls the period for the DEMA smoothing; shorter values increase responsiveness but may add noise, longer ones provide more lag but smoother signals. Default: 25.
Robust Scaling Length: Defines the lookback period for the scaling statistics; affects how adaptive the normalization is to recent data distributions. Default: 40.
Upper Threshold: The level above which a long signal is triggered; higher values make signals rarer but potentially more reliable. Default: 0.5.
Lower Threshold: The level below which a short signal is triggered; lower values allow for more aggressive bearish detection. Default: 0.
Conclusion
The Robust Scaled DEMA offers an outlier-resistant alternative to traditional moving average indicators, empowering traders to navigate volatile markets. By blending exponential smoothing with statistical robustness, it provides actionable insights into trend shifts while minimizing false positives from extreme events..
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
XAU/USD Weekly Volatility Strategy by WeTradeAIWeTradeAI - XAU/USD Weekly Volatility Strategy
This strategy is designed for Gold (XAU/USD) trading, leveraging a weekly market structure and volatility projection model. It dynamically identifies high-probability zones based on the prior week’s price action and adapts to intraday movement.
🔍 Core Logic:
Weekly High, Low & Midpoint: Defines structural balance for directional bias.
Projected Volatility Zones:
Green Zone: Upward projection from last week’s low.
Red Zone: Downward projection from last week’s high.
Half-Volatility Lines: Act as breakout or reversal triggers.
Monday Open: Serves as a temporary directional reference until midweek.
Daily High, Low, and Mid: Used for intraday stop-loss placement and validation.
🎯 Trade Entries:
Breakout Entries: Triggered when price breaks and holds above/below the Half-Vol levels.
Reversal Entries: Triggered by strong rejections near outer zones, reverting back toward equilibrium.
🛡️ Risk Management:
Dynamic Stop-Loss: Based on the previous day’s midpoint.
⏱️ Multi-Timeframe Usage:
4H – Weekly structure & context
1H – Trend alignment
15M – Precision entries
Dual EMA Status Table (15m & 30m)It checks whether the 9 EMA is above or below the 21 EMA on:
the 15-minute chart, and
the 30-minute chart,
and then displays their alignment in a table:
Timeframe 9 vs 21 Status
15 min 9 > 21 Bullish
30 min 9 > 21 Bullish
CONFIRM ✅ Bullish
✅ “Bullish Confirm” → 9 EMA > 21 EMA on both → uptrend bias
❌ “Bearish Confirm” → 9 EMA < 21 EMA on both → downtrend bias
⚠️ “Mixed” → 15 m and 30 m disagree → stay neutral or wait
💡 How to Use It as a Trading Signal
You can treat it as a buy/sell framework with confirmation rules:
🔹 Buy (Long) bias
Table shows ✅ Bullish confirmation
9 EMA > 21 EMA on both timeframes
Ideally, price pulls back near one of the EMAs and then bounces
You could enter after a bullish candle close above the EMAs
📍 Example entry rule:
Enter long when “✅ Bullish” appears and price closes above both EMAs on the 15 min chart.
Stop-loss below the 21 EMA or recent swing low.
🔹 Sell (Short) bias
Table shows ❌ Bearish confirmation
9 EMA < 21 EMA on both timeframes
Price retraces upward and rejects near EMAs
📍 Example entry rule:
Enter short when “❌ Bearish” appears and price closes below both EMAs on the 15 min chart.
Stop-loss above 21 EMA or recent swing high.
Volume HeatMap Divergence [BigBeluga]🔵 OVERVIEW
The Volume HeatMap Divergence is a smart volume visualization tool that overlays normalized volume data directly on the chart. Using a color heatmap from aqua to red, it transforms raw volume into an intuitive scale — highlighting areas of weak to intense market participation. Additionally, it detects volume-based divergences from price to signal potential reversals or exhaustion zones. Combined with clear visual labeling, this tool empowers traders with actionable volume insights.
🔵 CONCEPTS
Normalized Volume Heatmap : Volume is normalized to a 0–100% scale and visually represented as candles below the chart.
float vol = volume / ta.percentile_nearest_rank(volume, 1000, 100) * 100
Bar Coloring : Price candles are dynamically colored based on volume intensity.
Volume Divergence Logic :
Bullish Divergence : Price forms a lower low, but volume forms a higher low.
Bearish Divergence : Price forms a higher high, but volume forms a lower high.
Dynamic Detection Range : Customizable range ensures divergence signals are meaningful and not random.
Volume Labels : Additional info on divergence bars shows both the actual volume and its normalized % score.
🔵 FEATURES
Volume Heatmap Plot : Normalized volume values colored using a smooth gradient from aqua (low) to red (high).
Price Bar Coloring : Candlesticks on the main chart adopt the same heatmap color based on volume.
Divergence Detection :
Bullish divergence with label and low marker
Bearish divergence with label and high marker
Dual Divergence Labels :
On the volume plot : Direction (Bull/Bear), raw volume, and normalized %
On the price chart : Shape labels showing "Bull" or "Bear" at local highs/lows
Custom Inputs :
Divergence range (min & max), pivot detection distance (left/right)
Toggle to show/hide divergence labels, volume, and % text
Clear Bull/Bear Coloring : Fully customizable label and line colors for both bullish and bearish signals.
🔵 HOW TO USE
Use the indicator as an overlay to monitor real-time volume strength using the heatmap color.
Watch for divergence markers:
Bullish divergence: Candle shows higher volume while price makes a new low
Bearish divergence: Candle shows lower volume while price makes a new high
Use the volume info labels to verify the context of divergence:
Actual volume at divergence candle
Normalized % of that volume compared to past 1000 bars
Adjust pivot sensitivity using "Pivot Left" and "Pivot Right" to tune signal frequency and lag with a right pivot length.
Use divergence zones as early warnings for potential reversals or trend shifts.
Disable or customize labels in settings depending on your charting preferences.
🔵 CONCLUSION
Volume HeatMap Divergence merges heatmap-style volume visualization with intelligent divergence detection — giving traders a clean yet powerful edge. By revealing hidden disconnections between price and participation, it helps users spot exhaustion moves or hidden accumulation zones before the market reacts. Whether you’re a scalper, swing trader, or intraday strategist, this tool offers real-time clarity on who’s in control behind the candles.
Rg btc levels Rg BTC Levels – Advanced Gann Rotation Levels
The Rg BTC Levels indicator is a refined implementation of W.D. Gann’s square of price and degree rotation principles, built to dynamically calculate and visualize Gann-based price levels for Bitcoin (or any instrument).
This tool lets traders explore how price reacts to mathematically significant degree levels (360°, 720°, 1080°, 1440°) — both above and below a central pivot — helping identify support, resistance, and rotation-based reversal zones.
⚙️ Key Features
✅ Dynamic Pivot Selection:
Automatically updates pivot levels based on your chosen resolution (1m to Monthly) or lets you manually set a base price.
✅ Rotation Control:
Adjust “Rotations” to raise or lower pivots by 1440° steps — perfect for aligning the grid with current price structure or higher Gann cycles.
✅ Flexible Price Source:
Choose from open, high, low, close, hlc3, ohlc4, etc. for precise level calculation.
✅ Resolution-Based Pivots:
Use any timeframe as the base resolution — from intraday to multi-month charts — to explore how major swings relate across time scales.
✅ Custom Multiplier:
Adaptable for different markets —
• 1.0 for prices between 1–999
• 10.0 for assets priced above 1000
• 0.001 for Forex or crypto pairs
✅ Automatic Base Price Memory:
Remembers and locks the last valid pivot price until the next rotation or resolution change — ensuring level stability.
✅ Visual Clarity:
Each degree level (±360°, ±720°, ±1080°, ±1440°) is distinctly color-coded for quick chart reading.
📊 How It Works
The indicator takes a pivot price (either manually set or dynamically derived from the previous period’s selected resolution).
It computes the square root of that price, adjusts it by any user-defined rotation offset, and then projects Gann angle levels by squaring the incremented/decremented root values.
These squared values represent key harmonic levels where price often pauses, reverses, or accelerates — a mathematical map of potential turning points.
🔍 Practical Use Cases
Identify support and resistance zones based on geometric price relationships.
Study rotation alignments between timeframes (e.g., weekly pivots influencing daily levels).
Combine with trend, volume, or cycle analysis to confirm turning zones.
Experiment with rotations and multipliers to visualize Gann’s “price-time square” across different markets.
⚠️ Note
This indicator is not a buy/sell signal tool.
It is designed for analytical and educational purposes, providing a geometric and cyclical framework for traders exploring Gann methodologies.
✨ Ideal For
Gann traders and price cycle researchers
Crypto and commodity analysts
Technical analysts seeking structure beyond conventional support/resistance
Traders experimenting with square root and geometric price harmonics
📘 Recommended Reading
If you wish to go deeper into these concepts:
📗 How to Make Profits in Commodities – W.D. Gann
📗 45 Years in Wall Street – W.D. Gann
📗 The Square of Nine Explained – C.J. Smiley
Developed by: ravi_matrix
Type: Educational / Analytical
Best Used On: BTCUSD or any instrument with sufficient price history
MTF Stoch RSI + MACD Summary“MTF Stoch RSI + MACD Summary” is a multi-timeframe momentum and trend analysis indicator designed for TradingView. Its primary function is to consolidate Stochastic RSI and MACD readings from multiple user-defined timeframes—ranging from weekly to intraday—into a compact, color-coded summary table. This allows traders to assess the alignment or divergence of momentum and trend signals across different time horizons within a single chart view, providing an efficient means to identify potential trend continuations or reversals.
The script begins by defining input parameters for both indicators. For the Stochastic RSI, the user can adjust the RSI period, stochastic length, and smoothing factors for K and D lines, while for the MACD, it allows customization of the fast and slow exponential moving average lengths. Additionally, the script offers flexibility through five user-defined timeframes, enabling multi-level signal comparison. Theme and color customization options are also included to enhance visual clarity, allowing users to personalize the display according to preference or chart background.
The computational core of the script calculates the RSI based on a chosen price source (typically the closing price) and applies a stochastic transformation with smoothing to determine momentum extremes—classifying them as overbought, mid-high, mid-low, or oversold depending on their numeric range. The MACD component, computed as the difference between the fast and slow EMAs, is evaluated to determine its state: whether it is crossing upward, crossing downward, above zero, or below zero. These states represent shifts in market momentum and potential trend direction. Both Stochastic RSI and MACD values are retrieved from each selected timeframe using the request.security() function, allowing the indicator to integrate higher and lower timeframe data in real time.
Each indicator reading is then converted into a descriptive label and paired with a specific background color for intuitive visual classification. The script organizes this information into a dynamic table displayed at the top-right corner of the chart. This table consists of three columns—timeframe, Stoch RSI status, and MACD status—and automatically updates with the latest market data on every bar close. Through this tabular format, traders can quickly interpret market conditions without having to switch between multiple charts or apply numerous separate indicators.
Overall, the MTF Stoch RSI + MACD Summary acts as a comprehensive dashboard that integrates momentum and trend indicators across multiple timeframes. By presenting data in a simplified visual layout, it enables traders to make more informed decisions based on the consistency of market signals. This facilitates clearer identification of overbought or oversold conditions, confirmation of trend strength, and early detection of potential reversals, making it a valuable tool for multi-timeframe technical analysis.
Trend Indicator🚀 Trend Indicator Pro – The Smart Money Edge
Catch Every Major Trend Shift – The Moment It Happens.
(Image of chart not shown correctly, message me for a screenshot)
Instantly See the Trend. Trade with Confidence.
Tired of guessing tops and bottoms? Trend Indicator Pro turns chaos into clarity with real-time, color-coded candles and pinpoint entry arrows – no lag, no noise.
How It Works
Smart Volatility Bands
Dynamically adapt to market conditions using ATR-based trailing logic – tighter in calm markets, wider in chaos.
One-Candle Trend Detection
The exact bar a trend flips is highlighted:
Purple Candle + ▲ → Fresh Uptrend Starting
Yellow Candle + ▼ → Downtrend Confirmed
Visual Trend Lock™
Green Candles = Ride the uptrend
Red Candles = Short or stand aside
→ No second-guessing.
Dynamic Pivot Fibonacci v1.3Advanced Fibonacci Levels & Time Zones
This indicator provides a comprehensive suite for Fibonacci analysis, focusing on both price and time. It is designed for technical analysts who require a highly configurable tool to identify key levels of support, resistance, and temporal market rhythm.
📊 Core Price Level Features
The indicator's primary function is to draw Fibonacci price levels based on one of two user-defined calculation methods:
Pivot-Based Calculation: Automatically detects high/low pivot points using configurable Pivot Left and Pivot Right lookback periods.
Memory-Based Calculation: Identifies the highest high and lowest low over a specified Memory Length (lookback period).
🎨 Display & Customization
13 Configurable Levels: Users can enable, define, and color up to 13 distinct price levels.
Background Fill: Optional color filling between levels for enhanced visual clarity.
Line Extension: Full control over line drawing, including extending lines to the left, right, or both (either indefinitely or for a limited number of bars).
Historical Deletion: Option to automatically delete previous Fibonacci lines when a new range is detected.
⏳ Additional Analysis Tools
Fibonacci Time Zones: Renders vertical time markers based on the Fibonacci sequence, projected from the selected pivot points. This feature is designed to help identify potential turning points in time.
Trend Analysis (SMMA): Includes an optional module to display multiple Smoothed Moving Averages (SMMA) and an aggregate trend line, assisting in contextual market analysis.
🇮🇷 توضیحات فارسی
سطوح پیشرفته فیبوناچی و مناطق زمانی
این اندیکاتور مجموعهای جامع برای تحلیلهای فیبوناچی، با تمرکز همزمان بر قیمت و زمان، ارائه میدهد. این ابزار برای تحلیلگران فنی طراحی شده است که نیازمند ابزاری با قابلیت تنظیمات بالا جهت شناسایی سطوح کلیدی حمایت، مقاومت و ریتم زمانی بازار هستند.
📊 ویژگیهای اصلی سطوح قیمتی
عملکرد اصلی این اندیکاتور، ترسیم سطوح قیمتی فیبوناچی بر اساس یکی از دو متد محاسباتی قابل تعریف توسط کاربر است:
محاسبه مبتنی بر پیوت (Pivot-Based): به صورت خودکار نقاط پیوت سقف و کف را بر اساس دورههای بازبینی (Lookback) قابل تنظیم (Pivot Left و Pivot Right) شناسایی میکند.
محاسبه مبتنی بر حافظه (Memory-Based): بالاترین سقف و پایینترین کف را در یک طول حافظه (دوره بازبینی) مشخص، پیدا میکند.
🎨 نمایش و سفارشیسازی
۱۳ سطح قابل تنظیم: کاربران میتوانند تا ۱۳ سطح قیمتی مجزا را فعال، تعریف و رنگآمیزی کنند.
پُر کردن پسزمینه (Fill): قابلیت اختیاری پُر کردن فضای بین سطوح با رنگ، برای افزایش وضوح بصری.
امتداد خطوط: کنترل کامل بر ترسیم خطوط، شامل امتداد دادن به سمت چپ، راست یا هر دو طرف (به صورت نامحدود یا برای تعداد کندلهای معین).
حذف سطوح گذشته: گزینهای برای حذف خودکار خطوط فیبوناچی قبلی به هنگام شناسایی یک محدوده جدید.
⏳ ابزارهای تحلیلی جانبی
مناطق زمانی فیبوناچی (Fib Time Zones): نشانگرهای زمانی عمودی را بر اساس دنباله فیبوناچی ترسیم میکند که از نقاط پیوت منتخب، پروجکت (project) شدهاند. این ویژگی برای کمک به شناسایی نقاط عطف احتمالی در بستر زمان طراحی شده است.
تحلیل روند (SMMA): شامل یک ماژول اختیاری برای نمایش چندین میانگین متحرک هموارشده (SMMA) و یک خط روند کلی، جهت کمک به تحلیل زمینه بازار.
Smart Money Flow V6 Pro📊 Smart Money Flow V6 Pro
🎯 Overview
Smart Money Flow V6 Pro is an advanced multi-timeframe indicator designed to detect institutional order flow and smart money accumulation/distribution patterns. It combines delta volume analysis, order block detection, and opening range breakout strategies to identify high-probability trading opportunities.
🔍 What Makes This Indicator Unique?
1. Proprietary Delta Flow Analysis
Unlike standard volume indicators, this script calculates:
Cumulative Delta: Tracks the net difference between buying and selling pressure over time
Delta Momentum Oscillator: Uses RSI calculation on cumulative delta to identify momentum shifts
Volume-Weighted Delta: Multiplies delta by volume-to-average-volume ratio for stronger signals
Why it matters: Standard volume indicators show only total volume. This script separates buying vs selling volume to reveal institutional footprints that retail traders miss.
2. Smart Money Divergence Detection
The indicator identifies hidden smart money activity through:
Bullish Divergence: Price makes lower lows while cumulative delta makes higher lows (institutions accumulating)
Bearish Divergence: Price makes higher highs while cumulative delta makes lower highs (institutions distributing)
Calculation Method: Compares 5-bar price movement against cumulative delta direction to spot divergences
3. Institutional Order Block Identification
Order blocks represent price levels where large institutions placed significant orders:
Bullish OB: Detected after 2+ consecutive down candles followed by a strong bullish candle (>50% of previous range)
Bearish OB: Detected after 2+ consecutive up candles followed by a strong bearish candle
Visual Display: Boxes extend right to show active zones where price may react
4. Opening Range Breakout System
Tracks the first 30 minutes (customizable) of trading:
Identifies OR High, Low, and Midpoint
Monitors breakouts/breakdowns for directional bias
Only activates after OR period completes
Usage: Helps traders align with the day's initial institutional positioning
5. Dynamic Support/Resistance
Uses pivot point detection with tolerance zones:
Stores last 5 resistance and 5 support levels
Creates zones (default 0.5% tolerance) around key levels
Updates dynamically as new pivots form
Calculation: pivothigh()/pivotlow() functions with 10-bar lookback, stored in arrays
6. Three Signal Modes for Different Trading Styles
Aggressive Mode:
Triggers: Trend alignment + positive delta momentum
Best for: Active scalpers, high-frequency trading
Signal frequency: High
Balanced Mode (Recommended):
Triggers: Trend + delta momentum threshold (>30) + confluence (divergence OR S/R OR order block)
Best for: Swing traders, position traders
Signal frequency: Medium
Conservative Mode:
Triggers: All balanced conditions + high volume + divergence confirmation
Best for: Risk-averse traders, larger positions
Signal frequency: Low but highly accurate
📈 How It Works (Technical Methodology)
Step 1: Volume Analysis
buyVolume = close > open ? volume : 0
sellVolume = close < open ? volume : 0
delta = buyVolume - sellVolume
cumDelta += delta (running total)
Step 2: Momentum Calculation
deltaMomentum = RSI(cumDelta, 14) - 50
This normalizes cumulative delta into an oscillator ranging from -50 to +50
Step 3: Trend Filter
EMA(20) determines trend direction
Signals only trigger WITH the trend (no counter-trend trades)
Step 4: Signal Generation Logic
Buy Signal (Balanced Mode):
Price > EMA(20) ✓
Delta > 0 AND cumDelta rising ✓
Volume > 1.2x average ✓
Delta Momentum > 30 ✓
At least ONE: Bullish divergence OR near support OR bullish order block ✓
Sell Signal: Opposite conditions
Step 5: Visual Confirmation
Large triangles for primary signals
Small circles for divergences
Boxes for order blocks
Lines for OR levels and S/R
🎨 Dashboard Metrics Explained
The real-time dashboard shows:
Delta: Current bar's buy/sell pressure
Cum Delta: Running total (positive = bullish bias)
Momentum: RSI-based oscillator (-50 to +50)
Trend: EMA direction
Volume: Compared to average (HIGH/NORMAL/LOW)
OR Status: Price position relative to opening range
S/R Level: Proximity to support/resistance
Order Block: Active institutional zones
Divergence: Smart money divergence status
Mode: Current signal sensitivity
Price: Current close
SIGNAL: Overall market bias (STRONG BUY/SELL/WAIT)
🔧 How to Use This Indicator
For Day Traders:
Wait for opening range to complete (default 9:15-9:45)
Use Aggressive or Balanced mode
Take signals that align with OR breakout direction
Exit at opposite order block or S/R level
For Swing Traders:
Use Conservative or Balanced mode
Enter only on divergence + signal confluence
Hold through minor pullbacks to order blocks
Trail stops below/above order blocks
For Scalpers:
Use Aggressive mode on lower timeframes (1-5 min)
Take quick profits at S/R levels
Monitor delta momentum for exhaustion
Exit if momentum crosses zero line
⚠️ Important Notes
What This Indicator Does NOT Do:
Does NOT repaint (all calculations finalize on bar close)
Does NOT use future data
Does NOT guarantee profits (no indicator does)
Originality Statement:
This indicator is NOT a simple combination of existing indicators. It features:
Custom delta calculations not available in standard volume indicators
Unique momentum oscillator using RSI on cumulative delta (not price)
Proprietary signal logic that requires multiple confluence factors
Dynamic order block detection with automatic zone management
Three-mode signal system allowing strategy customization
Why Closed Source?
The specific thresholds, weighting factors, and signal combination logic represent proprietary research. The methodology is fully disclosed above, but exact parameters are protected.
📊 Best Practices
Always use with proper risk management (2% max per trade)
Combine with price action (don't trade signals blindly)
Backtest on your specific instrument before live trading
Adjust parameters for different markets (forex, stocks, crypto)
Start with Conservative mode until familiar with signals
🔔 Alert Conditions Available
Long Signal
Short Signal
Bullish Divergence
Bearish Divergence
Bullish Order Block
Bearish Order Block
📞 Disclaimer
This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
Major exchages total Open interest & Long/Short OI trends📊 Indicator: Major Exchanges Total OI & Long/Short Trends
This Pine Script™ indicator is designed to provide a comprehensive analysis of Open Interest (OI) and Long/Short position trends across major cryptocurrency exchanges (Binance, Bybit, OKX, Bitget, HTX, Deribit). It serves as a powerful tool for traders seeking to understand market liquidity, participant positioning, and overall market sentiment.
🔑 Key Features and Functionalities
Aggregated Multi-Exchange Open Interest (OI):
Consolidates real-time Open Interest data from user-selected major cryptocurrency exchanges.
Provides a unified view of the total OI, offering insights into the collective market liquidity and the aggregate size of participants' open positions.
Visualized Combined OI Candles:
Presents the aggregated total OI data in a candlestick chart format.
Displays the Open, High, Low, and Close of the combined OI, with color variations indicating increases or decreases from the previous period. This enables intuitive visualization of OI trend shifts.
Estimated Long/Short OI and Visualization:
Calculates and visualizes estimated Long and Short position Open Interest based on the total aggregated OI data.
Estimation Logic:
Employs a sophisticated logic that considers both price changes and OI fluctuations to infer the balance between Long and Short positions. For instance, an increase in both price and OI may suggest an accumulation of Long positions, while a price decrease coupled with an OI increase might indicate growing Short positions.
Initial 50:50 Ratio:
The estimation for Long/Short OI begins with an assumption of a 50:50 ratio at the initial data point available for the selected timeframe. This establishes a neutral baseline, from which subsequent price and OI changes drive the divergence and evolution of the estimated Long/Short balance.
Flexible Visualization Options:
Allows users to display Long/Short OI data in either line or candlestick styles, with customizable color schemes. This flexibility aids in clearly discerning bullish or bearish positioning trends.
💡 Development Background
The development of this indicator stems from the critical importance of Open Interest data in the cryptocurrency derivatives market. Recognizing the limitations of analyzing individual exchange OI in isolation, the primary objective was to integrate data from leading exchanges to offer a holistic perspective on market sentiment and overall positioning dynamics.
The inclusion of the Long/Short position estimation feature is crucial for deciphering the specific directional biases of market participants, which is often not evident from raw OI data alone. This enables a deeper understanding of how positions are being accumulated or liquidated, moving beyond simple OI change analysis.
Furthermore, a key design consideration was to leverage the characteristic where the indicator's data start point dynamically adjusts with the chart's timeframe selection. This allows for the analysis of short-term Long/Short trends on shorter timeframes and long-term trends on longer timeframes. This inherent flexibility empowers traders to conduct analyses across various time scales, aligning with their diverse trading strategies.
🚀 Trading Applications
Leveraging Combined Open Interest (OI):
Trend Confirmation: A sustained increase in total OI signifies growing market interest and capital inflow, potentially confirming the strength of an existing trend. Conversely, decreasing OI may suggest diminishing participant interest or widespread position liquidation.
Validation of Price Extremes: If price forms a new high but OI fails to increase or declines, it could signal a potential trend reversal (divergence). Conversely, a sharp increase in OI during a price decline might indicate a surge in short positions or renewed selling pressure.
Identifying Volatility Triggers: Monitoring rapid shifts in OI during significant news events or market catalysts can help assess immediate market reactions and liquidity changes.
📈Utilizing Long/Short OI Trends
Assessing Market Bias: A sustained dominance or rapid increase in Long OI suggests a prevalent bullish sentiment, which could inform decisions to enter or maintain long positions. The inverse scenario indicates bearish sentiment and potential short entry opportunities.
Anticipating Squeezes: The indicator can help identify scenarios conducive to short or long squeezes. Excessive short positioning followed by a price uptick can trigger a short squeeze, leading to rapid price appreciation. Conversely, an oversupply of long positions preceding a price drop can result in a long squeeze and sharp declines.
Divergence Analysis: Divergences between price action and Long/Short OI estimates can signal potential trend reversals. For example, if price is rising but the increase in Long OI slows down or Short OI begins to grow, it may suggest weakening buying pressure.
🕔Timeframe-Specific Trend Analysis:
Shorter Timeframes (e.g., 1m, 5m, 15m): Ideal for identifying short-term shifts in participant positioning, beneficial for day trading and scalping strategies. Provides insights into immediate market reactions to price movements.
Longer Timeframes (e.g., 1h, 4h, Daily): Valuable for evaluating broader positioning trends and the sustainability or potential reversal of medium-to-long-term trends. Offers a macro perspective on Long/Short dynamics, suitable for swing trading or long-term investment strategies.
This indicator integrates complex market data, provides nuanced Long/Short position estimations, and offers multi-timeframe analytical capabilities, empowering traders to make more informed and strategic decisions.
Zone Tap Counter: Support & Resistance StrengthWhat is this indicator?
This script is designed to help traders objectively monitor the strength and significance of price zones by counting and visualizing how many times price “taps” confirmed support and resistance levels. The indicator leverages swing high/low detection to automatically plot relevant zones and uses price tap frequency as an objective strength metric.
How does it work?
Zone Identification:
The script uses the Pine Script functions ta.pivothigh and ta.pivotlow to detect confirmed swing highs and lows on your chart. Each swing high establishes a resistance zone, and each swing low establishes a support zone.
Only confirmed pivots are used, ensuring all signals are strictly non-repainting.
Tap Counting Logic:
For every candle, the indicator checks whether price touches (comes within a small, user-set tolerance) of any currently tracked support or resistance zone. To avoid counting repeated taps in the same move, the script ensures only unique bar taps are registered.
Each time price taps a zone, a counter for that zone is incremented.
Both the tolerance for taps (percentage-based), and the depth/history of zones tracked are fully adjustable in settings.
Visual Feedback:
Zones with more taps are drawn darker (lower transparency), making it easy to spot the strongest/hardest-tested levels on the chart.
A label on each zone displays the current tap count (e.g., "3x"), giving direct feedback about which support/resistance are most significant in the current view.
Only recent zones (user-configurable) are shown to keep charts clear and useful.
How to use it:
Add the indicator to your TradingView chart.
Set the swing length and tap tolerance in settings to match your market or timeframe (short swing length for scalping, longer swings for bigger structure).
Watch for zones with high tap counts and darker lines: These zones represent areas where price has repeatedly reacted, suggesting they may be important for your trading decisions.
You can adjust the minimum number of taps needed for a zone to be highlighted and the number of zones to display for your preferred visual clarity.
Combine this tool with other analysis for confirmation—tap counts should not be seen as trading signals, but as supporting information.
Originality & Calculation Details:
This script does NOT simply merge or overlay existing indicators. The calculation method is original: it uses swing-based support/resistance and applies unique tap-count logic, designed for objective zone strength visualization.
No repainting logic is present.
All code and visualization methods are documented and transparent.
Disclaimer:
This indicator is for educational and analytical purposes only. It does not predict future price movement, guarantee profits, or recommend specific trades. Always use your own analysis and risk management. See TradingView’s House Rules for more details.
Supertrend Dual-Zone Channel V2**Supertrend Dual-Zone Channel V2**
Advanced Supertrend with Dual-Zone Visualization, Breakout Counter, and Dynamic Labels
A powerful upgrade to the classic Supertrend indicator that displays two distinct zones:
• Bullish Channel (green): Active when price is above the Supertrend line
• Bearish Channel (red): Active when price is below the Supertrend line
Key Features
• Dual-Zone Fill System: Clearly separates bullish and bearish regimes with semi-transparent channel fills for instant trend context.
• Reverse Tracking Lines: Shows the opposite-direction Supertrend band (faint green/red lines) to highlight potential reversal zones.
• Automatic Breakout Counter: Counts consecutive breaks into the opposite tracking band.
- Green labels below bars: Bullish breakouts (price closes above bearish tracking line while in uptrend)
- Red labels above bars: Bearish breakouts (price closes below bullish tracking line while in downtrend)
• Clean Label Management: Uses arrays to store labels with tooltips showing breakout sequence number.
• Mid-Channel Reference: Invisible midline based on (high + low)/2 for internal fill logic (not plotted).
How to Use
• Strong Trend Confirmation: Price staying within its colored channel = healthy trend.
• Pullback Entries: Look for price touching the faint reverse tracking line without breaking it.
• Breakout Signals: Labeled breakouts (1st, 2nd, 3rd...) often precede trend exhaustion or acceleration.
• Works on all timeframes and assets.
Inputs
• Factor (default: 3.0) – Sensitivity of the Supertrend bands
• ATR Period (default: 10) – Lookback period for volatility calculation
Visuals
• Thick green/red line: Current active Supertrend
• Faint opposite-color line: Reverse tracking band
• Light green/red fills: Bullish/Bearish zones
• Numbered labels: Sequential breakout counter
Fully optimized with max_lines_count=500 and max_labels_count=500.
Clean, lightweight, and highly readable on chart.
Version 2 – Improved labeling, better zone separation, and smarter counter reset on trend change.
Perfect for trend-following, pullback trading, and spotting potential reversals.
Happy trading!
====================================================================================
**Supertrend 双区通道 V2**
高级超级趋势指标：双色通道可视化 + 突破计数器 + 动态标签
经典 Supertrend 的强力升级版，通过 **双区通道** 直观区分多空状态：
• 多头通道（绿色）：价格位于 Supertrend 上方时激活
• 空头通道（红色）：价格位于 Supertrend 下方时激活
### 核心功能
• 双区填充系统：半透明通道填色，一眼分辨当前多空主导区域
• 反向轨道线：显示对立方向的 Supertrend 带（淡绿/淡红虚线），清晰标记潜在反转区域
• 自动突破计数器：统计价格连续突破反向轨道的行为
- 绿色标签（K线下方）：多头突破（多头趋势中收盘突破空头轨道）
- 红色标签（K线上方）：空头突破（空头趋势中收盘跌破多头轨道）
• 智能标签管理：使用数组存储标签，带工具提示显示突破序号
• 通道中轴：基于 (high + low)/2 的隐形中线，仅用于填充逻辑（不显示）
### 使用方法
• 趋势健康：价格始终停留在同色通道内 = 强势趋势
• 回调入场：价格触及淡色反向轨道但未突破 = 优质回调机会
• 突破信号：连续编号突破（第1次、第2次…），根据不同品种设定自定义的突破次数，btc通常五次突破后才会衰竭。
• 适用于所有周期、所有品种
### 输入参数
• 倍数（默认 3.0）：控制 Supertrend 带的灵敏度
• ATR周期（默认 10）：波动率计算周期
### 视觉元素
• 粗实线（绿/红）：当前生效的 Supertrend 主线
• 细虚线（淡绿/淡红）：反向轨道线
• 浅色填充：多头/空头通道区域
• 编号标签：突破序号（从0开始计数）
**V2 版升级**：优化标签逻辑、更好区域分隔、趋势切换时自动归零计数器。
祝交易顺利！
The Sentiment Indicator - Ultimate Hybrid v2(image shown of chart is not the coloured candles - message for a screenshot)
The Sentiment Indicator – Ultimate Hybrid v2
Most indicators react. This one anticipates.
Using dual-timeframe sentiment normalization, it blends institutional money flow, market participation, global risk appetite, and adaptive momentum into one real-time composite score — then colours your candles from blood red (panic) to deep green (conviction).
What You See
Dark Green Candles = Institutional buying confirmed
(Filtered by volume, flow, and participation — no fakeouts)
Early Warning Flash = Short-term sentiment collapsing while price still high
→ Your edge to exit or hedge before the drop
Dynamic Thresholds = Levels shift with market regime — never static
Trend Boost Engine = Rewards sustained moves, punishes chop
Built for Real Traders
Works on SPY, QQQ, IWM, stocks, futures, crypto
No repainting | No lookahead | Fully transparent logic
Top-right dashboard shows every layer in real time
Dark Green Gate™ blocks false strength signals
How It Works (The Edge)
We analyse 12 major assets and over 20 institutional-grade metrics — including:
Smart money flow (volume-weighted, momentum-adjusted)
Market breadth (% of stocks above key MAs)
Global risk-on/risk-off signals (equities, bonds, commodities, EM)
VIX regime penalties
Up/down volume panic ratio
All fused into one adaptive composite score using dual-timeframe normalization (long-term stability + short-term sensitivity).
Key Inputs You Control
Primary Lookback (default: 40) – Core sensitivity
Early Warning Threshold (default: -15) – Catch tops early
Money Flow Weight (default: 50%) – Prioritize volume action
Dark Green Gate™ – ON/OFF – Blocks false strength signals
Exclusive Features
Early Warning System™ – Flashes when short-term sentiment collapses while price is still high
Dynamic Thresholds – Auto-adjust to current market volatility
Trend Boost Engine – Rewards sustained moves above the 150-day MA
Dark Green Gate™ – Requires volume + flow + price confirmation for top-tier signals
Works Everywhere
SPY, QQQ, IWM, ES, NQ, stocks, crypto
Work on daily, weekly
Real-time dashboard with every layer visible
Stop reacting. Start anticipating.
TrendMaster V2TrendMaster V2 is a comprehensive Pine Script indicator designed for TradingView. It combines multiple technical indicators and an advanced scoring logic to provide actionable trading signals. The script is highly customizable, allowing users to adjust trading modes, color themes, and signal filters according to their preferences and risk tolerance.
Key Features
Composite Scoring System:
The script calculates a composite score based on trend, momentum, pattern recognition, volume, volatility, divergence, Pearson correlation, and the CCI index. This score helps identify the best buy or sell opportunities.
Customizable Parameters:
Users can choose between “Aggressive,” “Balanced,” or “Conservative” trading modes, adjust indicator periods, and customize the color scheme of all visual elements.
Confluence Analysis:
The script evaluates the number of matching bullish or bearish signals, providing a confluence summary for higher-confidence trades.
Visual Signals:
Clear visual cues (triangles, circles, crosses) are displayed on the chart for strong buy/sell signals, confluences, and divergences.
Information Panels:
Two panels display real-time data such as score, RSI, volume, volatility, Pearson, CCI, trend, signal, and mode, along with the confluence status for quick reference.
Alert Conditions:
The script supports alerts for strong buy/sell signals, confluences, and divergences.
How It Works
Main Configuration:
Users select a trading mode (Aggressive, Balanced, or Conservative) and a color theme (Dark or Light).
Custom colors can also be set for bullish, bearish, strong, neutral, and signal elements.
Technical Indicators
Moving Averages (SMA/EMA) for trend analysis.
RSI to assess momentum and overbought/oversold conditions.
MACD for trend confirmation.
Volume and Volatility (ATR) for market activity evaluation.
Advanced Indicators
Pearson Correlation to measure trend strength.
CCI for cyclic momentum analysis.
Pattern Recognition
The script identifies common bullish and bearish reversal patterns (e.g., engulfing, hammer, morning/evening star) and continuation patterns (e.g., three white soldiers/black crows).
Composite Score
Each indicator contributes to a composite score, weighted according to the selected trading mode.
The score determines the strength of buy/sell signals.
Confluence Analysis
The script counts the number of matching bullish or bearish signals, providing a confluence summary for higher-confidence trades.
Visual Signals and Alerts
Strong buy/sell signals: triangles
Confluence signals: circles
Divergences: crosses
Alerts are triggered for strong buy/sell signals, confluences, and divergences.
Usage Instructions
Add the script to your TradingView chart.
Adjust the settings in the configuration panel to match your trading style.
Monitor the information panels and visual signals to spot trading opportunities.
Set up alerts for your preferred signal types.
Pyramid EnterPyramid Enter — Educational Position-Scaling Study
Purpose
Pyramid Enter is a lightweight, educational visualization of additive entries (“pyramiding into strength”). It’s designed to help you study how layered entries might line up during persistent trends. This script does not execute orders, make predictions, or provide financial advice. It simply shows where entry candidates could appear under a simple crossover framework with an optional trend filter.
How it works (concept)
Computes a fast EMA of your chosen Source (default: close).
Applies a user-selected Smoother (SMA/EMA/RMA/WMA/None) to create a slower reference line.
Marks an Enter candidate when the fast EMA crosses above the smoothed line.
Optional EMA 8/21 trend filter can be enabled to allow marks only when EMA(8) > EMA(21).
Includes an adaptive-on-flip option: if the 8/21 filter turns on, a one-time Enter candidate is allowed (useful for studying “first add after trend resumes”).
This is strictly a visual study of where entries might layer during momentum continuation — exits, risk, and sizing are intentionally out of scope so you can analyze those topics separately.
Inputs
Inputs
Length: Period of the fast EMA applied to Source.
Source: Price series used for the fast EMA.
Offset: Visual offset only; no effect on logic.
Smoothing
Type: Choose “SMA / EMA / RMA / WMA / None” for the reference line.
Length: Period for the smoothing type above.
Visualization
Show Labels: Toggle the on-chart Enter labels.
EMA 8/21 Filter
Enable EMA 8/21 Filter: Only mark when EMA(8) > EMA(21).
Fast EMA / Slow EMA: Lengths for the filter (defaults 8/21).
Plot Filter EMAs: Display the 8/21 lines for context.
Adaptive entry when filter flips ON: Allows a one-time Enter candidate on the bar the trend filter turns on (handy when studying re-acceleration after a pullback).
Visuals
White line: Fast EMA of Source.
Blue line: Selected smoother (your slower reference).
Labels: “Pyramid Enter” markers at candidate spots (intrabar + bar-close confirmation are handled internally to keep charts tidy).
No alerts are included. This tool is for chart study only.
Suggested study workflow
Context first — Add your higher-timeframe tools or moving averages to understand the broader regime.
Enable the 8/21 filter if you want to restrict labels to uptrends only.
Experiment with the smoother — SMA is simple, but EMA/RMA/WMA can change sensitivity.
Review clusters of “Pyramid Enter” labels during strong trends to learn where scaling could be considered in a rules-based process.
Pair with your risk framework — Because this script intentionally omits exits/position sizing, use it alongside your own stop, trailing, and de-risking logic for research.
Good citizens of the chart
No repainting tricks.
Marks follow standard EMA/smoothing crossovers with a simple state lock to avoid duplicates.
Designed to be lightweight and readable on any timeframe or symbol.
Limitations & notes
This is not a signal provider, trading system, or performance model.
Labels are educational candidates only; they do not imply profitability or suitability.
Past chart behavior does not guarantee future results. Always do your own research and practice risk management.
Compatibility
Works on all symbols/timeframes supported by TradingView.
Overlay: true (prints on price chart).
No alerts included by design.
Changelog
v1.0 — Initial public release: minimal visual study, optional 8/21 filter, adaptive flip option, no alerts.
License
Michael Culpepper Gratitude License — Free to use and modify for education and research. Please credit the author if you remix or share. Not for sale. No warranty.
Tags / Category (suggested)
Category: Trend Analysis / Educational Tools
Tags: pyramid, scaling, trend, ema, crossover, education, study
ES VIX on MNQ🧭 ES + VIX Overlay on MNQ
This indicator overlays the ES (S&P 500 futures) and VIX (Volatility Index) directly on the MNQ (Micro Nasdaq Futures) chart, allowing traders to visualize in real time the correlation, divergence, and volatility influence between the three instruments.
⸻
⚙️ How It Works
• The VIX is dynamically rescaled to the MNQ’s daily open, so its moves appear on the same price scale.
• The ES line is projected based on its percentage move relative to the session open (18:00 NY).
• Both are plotted in sync with MNQ to expose relative strength and divergence zones that often precede strong directional moves.
⸻
🧩 Inputs
• VIX Symbol: choose between VIX, CBOE:VIX, TVC:VIX
• Invert VIX Correlation: flips the VIX line for inverse-correlation setups
• VIX Step: controls how sensitively the VIX moves on the MNQ scale
• ES Symbol: defines the ES contract (e.g. ES1!)
• Show Signals: toggles on/off buy & sell markers
• Step (points): minimum distance between MNQ and VIX for a valid signal
• Block Signals: disables signals between 16:15 – 03:15 (illiquid hours)
⸻
💡 Signal Logic
The system tracks crossings between MNQ and the projected VIX line:
• Buy signal → when MNQ crosses above the VIX and expands upward by ≥ X points.
• Sell signal → when MNQ crosses below the VIX and expands downward by ≥ X points.
A time filter avoids noise during low-volume sessions.
⸻
📊 Visual Guide
• Cyan line = VIX on MNQ scale
• Orange line = ES on MNQ scale
• Labels on the right = current VIX / ES values
• BUY/SELL markers = potential volatility-based reversals
⸻
🚀 Practical Use
Perfect for traders who monitor:
• VIX–price divergence
• ES vs MNQ momentum confirmation
• Early volatility expansions before trend moves
⸻
💬 Core Idea:
“Volatility leads — price confirms.”
War Room – Combined HUD v3.4 (Cap T+1, RTH+ON H/L)War Room Combined HUD — Futures / Flow Command Panel
Purpose:
A high-performance multi-layer heads-up display (HUD) designed for intraday futures trading (optimized for NQ/ES). It merges market flow, volume delta, session structure, and directional bias models into a single at-a-glance command panel.
Core Features:
Score / Bias Engine: Aggregates VWAP positioning, delta slope, and CVD structure to produce a live bias score (–5 → +5 scale) and simplified bias label (SBear → SBull).
State Monitor: Detects alignment or conflict between intraday bias and real-time flow. Highlights counter-trend conditions (“Use magnets / half size”) vs. aligned continuation.
Trap Detection (Dual):
Trap Short (shorts trapped, squeeze-up risk)
Trap Long (longs trapped, flush-down risk)
Color-coded strength meter indicates WATCH / TRAPPED / SQUEEZE.
Session CVD Table: Displays cumulative volume delta (CVD) and block delta by region — Asia / London / New York / Global — with auto-classified modes: Initiative Buy, Initiative Sell, Absorption, Distribution, or Neutral.
Flow Dominance Gauge: Tracks Global vs. Local momentum; signals when session flow diverges from the global CVD vector.
Price Anchors: Displays ON (overnight) high/low, RTH (regular trading hours) high/low, and prior session reference points (POC, VAH, VAL, HVN, LVN).
Capitulation T+1 Forecast: Computes early warning probability for next-day capitulation or squeeze events using volatility stretch, CVD intensity, control %, and score extremes. Direction marked with ↑ / ↓ arrow.
Futures / Flow Lower HUD (Optional): A cadence-based flow log showing Time, Px, VWAP, Δ, CVD, Bias, and Trap for the most recent 15-minute blocks — a micro-tape of intraday flow behavior.
Usage:
Primary HUD (top panel) → Real-time decision layer (bias, traps, state, cap-forecast).
Lower HUD (optional) → Historical flow context and confirmation.
Designed for use on 1m–15m charts, tuned for New York RTH bias detection.
Visual Key:
🟩 Green → Bullish continuation or trapped shorts
🟥 Red → Bearish continuation or trapped longs
🟧 Orange → Countertrend / Watch zone
⚫ Gray/Black → Neutral or no signal
BVC - Optimized Trend StrengthOverview
BVC-Optimized Trend Strength is a next-generation trend evaluation system designed specifically for the Casablanca Stock Exchange (BVC).
It measures the true strength of bullish and bearish pressure using a combination of advanced technical filters:
• Trend structure via MM20 & MM50
• Market momentum via RSI
• Breakout confirmation using Donchian levels
• Volume validation based on BVC liquidity characteristics
• Slope strength of the fast moving average
• Weighted scoring engine (0 → 100)
• Non-repainting BUY/SELL signals
• Background regime detection (Bull / Bear / Neutral)
It is engineered to be highly configurable, lightweight, and fully adapted to BVC market behavior, where liquidity, breakout reliability, and trend confirmation behave differently from US or European markets.
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How It Works
At every bar, the script evaluates 6 categories of trend evidence.
Each category contributes a configurable weight to a final Bull Score and Bear Score, each ranging from 0 to 100.
Bull Score Components
• Price above MM20
• MM20 above MM50
• Positive MA slope
• RSI above bullish threshold
• Donchian bullish breakout (non-repainting)
• Volume confirmation
Bear Score Components
Exact mirror of the bullish setup.
The result is a quantitative trend strength meter that reflects the true pressure behind the market.
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Non-Repainting BUY & SELL Signals
Signals only trigger when the calculated score crosses your minimum threshold (default: 60).
Labels fire once, at the close of the candle, using:
MM crossovers
RSI regime shifts
Donchian breakouts
Trend structure & volume validation
All signals are non-repainting, meaning what you see historically is exactly what was printed live.
Labels include:
BUY • Very Strong (85/100)
SELL • Strong (65/100)
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Background Regime Detection
The chart background automatically adapts to market conditions:
• Green → confirmed bullish regime
• Red → confirmed bearish regime
• Gray → mixed or transition phase
You may customize transparency and behavior.
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Top-Right Dashboard
A clean summary panel displays:
• Price
• MM20
• MM50
• RSI
• Bull/Bear scores
• Recommended Action: BUY / HOLD, SELL / AVOID or WAIT
This gives traders an instant, objective view of market conditions.
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Alerts
Built-in TradingView alerts:
• BUY Signal
• SELL Signal
Customize them directly through the TradingView alerts panel.
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Ideal For
Swing traders
Position traders
Portfolio managers
Trend-followers
BVC investors wanting objective confirmation
Traders who hate repainting signals
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Why It Works on the BVC
The BVC behaves differently from high-frequency markets.
Breakouts often require confirmation, low volume distorts momentum, and many assets move in structured waves.
This script integrates all these insights into a single, powerful and unified indicator—built for Morocco, by someone who trades Morocco.
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Disclaimer
This indicator does not guarantee profits and should be combined with market structure, liquidity evaluation, and proper risk management. Past performance does not guarantee future results.
RastaRasta — Educational Strategy (Pine v5)
Momentum · Smoothing · Trend Study
Overview
The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line.
It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions.
The script displays:
A primary EMA line (the fast reactive wave).
A Smoothed line (using your chosen smoothing method).
Optional fog zones between them for quick visual context.
Optional DNA rungs connecting both lines to illustrate volatility compression and expansion.
Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment.
Core Idea
The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal.
Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed.
Smoothing Types Explained
The script lets you experiment with multiple smoothing techniques:
Type Description Use Case
SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames.
EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals.
RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response.
WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy.
None Disables smoothing; uses the EMA line alone. Raw comparison baseline.
Each smoothing method changes how early or late the strategy reacts:
Faster smoothing (EMA/WMA) = more responsive, good for scalping.
Slower smoothing (SMA/RMA) = more stable, good for trend following.
Modes of Study
🔹 Scalper Mode
Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA).
Focus on 1 min – 15 min charts.
Watch how quick crossovers appear near local tops/bottoms.
Fog and rung compression reveal volatility contraction before bursts.
Goal: study short-term rhythm and liquidity pulses.
🔹 Momentum Mode
Use moderate EMA (5–9) and RMA smoothing.
Ideal for 1 H–4 H charts.
Observe how the fog color aligns with trend shifts.
EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled.
Goal: study sustained motion between pullbacks and acceleration waves.
🔹 Trend-Follower Mode
Use longer EMA (13–21) with SMA smoothing.
Great for daily/weekly charts.
Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance.
Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility.
Goal: visualize slow-motion trend transitions and filter whipsaw conditions.
Components
EMA Line (Red): Fast-reacting short-term direction.
Smoothed Line (Yellow): Reference trend baseline.
Fog Zone: Green when EMA > Smoothed (up-momentum), red when below.
DNA Rungs: Thin connectors showing volatility structure.
EMA 8 / 21 Filter (optional):
When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21.
Use this to study higher-trend gating effects.
Educational Applications
Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline.
Trend Transitions: Compare different smoothing types to see how early or late reversals are detected.
Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability.
Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester.
How to Use
Add to Chart → “Strategy.”
Works on any timeframe and instrument.
Adjust Parameters:
Length: base EMA speed.
Smoothing Type: choose SMA, EMA, RMA, or WMA.
Smoothing Length: controls delay and smoothness.
EMA 8 / 21 Filter: toggles trend gating.
Fog & Rungs: visual study options only.
Study Behavior:
Use Strategy Tester → List of Trades for entry/exit context.
Observe how different smoothing types affect early vs. late “Enter” points.
Compare trend periods vs. ranging periods to evaluate efficiency.
Combine with External Tools:
Overlay RSI, MACD, or Volume for deeper correlation analysis.
Use replay mode to visualize crossovers in live sequence.
Interpreting the Labels
Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive).
Exit: Marks where fast EMA crosses back below.
These are purely analytical markers — they do not represent trade advice.
Educational Value
The Rasta framework helps learners explore:
Reaction time differences between moving-average algorithms.
Impact of smoothing on signal clarity.
Interaction of local and global trends.
Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones).
It’s a sandbox for studying price structure, not a promise of profit.
Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes.
Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior.
Author: Michael Culpepper (mikeyc747)
License: Educational / Open for study and modification with credit.
Philosophy:
“Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
3 EMAs CustomizablesIt consists of 3 EMAs, each of which can be customized — you can change colors, thickness, and periods according to your trading strategy to save space on the indicators.
Pythia v0.5.5 Lite Pythia Lite — Mapping the Energy Behind Price
Description
Pythia Lite explores the hidden energy of market movement, showing where momentum begins to fade and where a new cycle may emerge.
The system combines impulse dynamics, divergence logic, and collapse-zone geometry to visualize potential reversals before they become visible to conventional indicators.
What it does
• Reveals areas of fading momentum and energy imbalance
• Highlights zones with higher probability of trend change
• Uses adaptive σ-filtering to reduce noise
• Visualizes the market flow structure with dynamic ATR/regression projections
• Builds a clear picture of the market’s energetic landscape
Limitations (Lite Edition)
• Reduced analytical depth
• No reversal-forecasting zones
• No energy-density visualization
• No multi-scale (macro) perspective
• Simplified divergence filters
Notes
Pythia Lite is designed for visual and educational analysis.
It does not generate trading signals but helps visualize the inner mechanics of market movement.
Created through the dialogue of analysis and intelligence.
© Saël Lab — Pythia Project 2025
Update Reason
Initial publication of Pythia Lite — an introductory version created to demonstrate the visual and analytical concepts of energy-based divergence detection.
Release Notes
Pythia Lite v0.5.5 introduces a compact framework for visualizing momentum decay and potential reversal zones using adaptive energy-flow analysis.
All logic and calculations are self-contained within the script, without any external sources or dependencies.
