Beast Mode Oscillator - Gemini🚀 BEAST MODE OSCILLATOR - GEMINI
Beast Mode Oscillator - Gemini is a next-generation, multi-factor momentum engine designed to filter out noise and identify high-probability trend reversals and continuations. Unlike standard oscillators that rely on a single data point, this tool fuses Price Momentum (MACD/RSI), Volume Flow (OBV), and Order Flow (CVD) into a single, easy-to-read metric.
Whether you are a high-frequency scalper or a patient swing trader, the built-in Adaptive Presets allow you to instantly calibrate the algorithm to your trading style.
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🔹 KEY FEATURES
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1. THE SMART OSCILLATOR ENGINE
At its core, this is not just an RSI or MACD. It is a weighted composite index that combines:
• RSI of MACD: To detect momentum shifts early.
• Normalized OBV: To ensure price moves are backed by volume.
• Adaptive Logic: Selects between different moving average or RSI baselines to smooth out price action.
2. CVD (CUMULATIVE VOLUME DELTA) INTEGRATION
Price lies, but volume does not. This indicator calculates the Delta (Buying Volume vs. Selling Volume) in the background to confirm trends.
• Strong Buy: When Price Momentum is bullish AND Buying Volume is dominant.
• Strong Sell: When Price Momentum is bearish AND Selling Volume is dominant.
• Chop/Divergence: When Price and Volume disagree, the dashboard warns you to stay away.
3. "SNIPER" VOLUME SPIKE DETECTION
The indicator monitors for sudden anomalies in volume delta. When a massive spike occurs in the direction of the trend, a Diamond Icon appears on the chart, signaling a high-momentum "Sniper" entry opportunity.
4. ELITE DASHBOARD
Stop guessing. The on-screen dashboard provides a real-time health check of the market:
• Smart Osc Status: Bullish or Bearish.
• CVD Flow: Who is in control? Buyers or Sellers?
• Money Flow (MFI): Warns of Overbought/Oversold conditions.
• Master Signal: Gives you a clear "STRONG BUY", "STRONG SELL", or "NEUTRAL" readout.
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🛠️ HOW TO USE
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1. SELECT YOUR MODE
Go to settings and choose your Trading Mode Preset:
• Scalping (Fast): Tighter settings for 1m/5m timeframes.
• Normal: Balanced settings for 15m/1h timeframes.
• Swing (Slow): Smoothed settings for 4h/Daily trends.
2. READ THE SIGNALS
• Triangle Up (Green): Trend Buy Signal. Confirmed by momentum and volume.
• Triangle Down (Red): Trend Sell Signal.
• Yellow Diamond: Sniper Signal. A high-volume impulse move has occurred. These are often powerful continuation entries.
3. WATCH THE LINE COLOR
• Bright Green: Strong Bullish Trend (Price + Volume agree).
• Bright Red: Strong Bearish Trend (Price + Volume agree).
• Grey/Dim: Weak Trend or Divergence.
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⚙️ SETTINGS OVERVIEW
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• Trading Mode: Instantly switch between Scalp, Normal, and Swing logic.
• Logic Type: Fine-tune the calculation method (A1, A2, A3) to fit specific assets (Crypto vs. Forex).
• Visuals: Toggle the dashboard, background colors, and signal shapes to keep your chart clean.
DISCLAIMER:
This tool is for educational purposes and market analysis only. It does not guarantee profits. Always use proper risk management.
Indicadores y estrategias
Previous Day Close & High/Low RaysAutomatically draws rays at the close and high/low before each session ends.
Colors the rays green for bullish days and red for bearish days
Shows the last 3 sessions (customizable)
Gives you full control over colors, line thickness, and style through the GUI
VWAP + EMA9 + RSI Scalping (Edu)VWAP + EMA9 + RSI Scalping (Edu) is an intraday scalping indicator combining VWAP, EMA9 and RSI to identify high-probability long and short entries. Designed for low timeframes (1m–5m), it aligns micro-trend and momentum to generate clean and fast setups. Works on stocks, indices, forex and crypto.
ABK – Alpha Bundle Killer 2025 (FINAL VERSION)Script creado con un arte que no se puede aguantar. Version corregida
R2 Strategy — Binary Option📌 R2 Strategy — Multi-Context Price Reaction Tool With Visual Statistics
R2 Strategy is a price–reaction analytical tool designed to study how the market responds to short-term RSI deviations while being filtered by directional context using EMA. It provides visual statistical tables, simplified backtesting, and configurable filters to help traders better understand when market conditions historically aligned with the strategy’s criteria.
🔎 Core Concept
The indicator combines:
Short-period RSI values to detect potential exhaustion zones.
EMA filtering to distinguish trend direction and context.
Time-based behavior studies to analyze when signals historically perform better.
A signal is generated when the RSI exceeds the defined levels and price is reacting relative to the chosen EMA filter. The strategy does not execute trades; it highlights conditions that match its predefined criteria so traders can study and interpret the symptoms of potential reversals or continuations.
📊 Statistical & Backtest Visual Features
The tool includes visual tables and summaries that assist strategic research:
Feature Purpose
Winrate by hour Study intraday behavioral patterns
Winrate by weekday Identify habitual cycle tendencies
Multi-timeframe trend table Contextual confirmation
Compact layout mode Minimalist display
Custom period selection Study behavior in different market cycles
These statistical elements serve as visual study aids only and do not represent predictive or guaranteed outcomes.
⚙ User Configurable Parameters
Users may adjust:
RSI thresholds and period
EMA period and trend sensitivity
Display mode (tables, labels, compact)
Date-based backtest window
Day and hour filters
Cooldown settings to reduce repeated signals
This flexibility allows the user to experiment with different interpretations of market rhythm.
💡 Originality
This script integrates RSI reaction analysis, EMA trend contextualization, and multi-level visual statistics into a single tool designed for study-oriented decision support. The emphasis is not only on the signal but on interpreting how the signal behaved under specific market circumstances.
⚠ Limitations & Disclaimer
This script does not predict markets, guarantee accuracy, or eliminate risk.
Statistical results are historical observations, not forward projections.
It does not provide financial advice or automated execution.
Intended for analysis, research, and educational purposes only.
Rob's Session Highs and LowsThis indicator plots key intraday structure levels for index and futures traders who track the Asia, London, and New York sessions, plus overnight H1 and H4 levels, without breaking the chart autoscale.
It automatically tracks and draws:
Asia session high and low
London session high and low
Previous New York session high and low (PDH and PDL)
Overnight session H1 and H4 highs and lows
All sessions are interpreted in New York time, and the Asia, London, New York, and Overnight windows are fully configurable so you can match your own session definitions.
Features:
Separate color, style, and width controls for Asia, London, Previous Day, H1, and H4 levels
Optional labels on the chart, with the choice to pin them to the right edge or offset them into the past
Clean vertical session dividers that stay within the current daily range so they do not crush the autoscale
Price scale markers (AH, AL, LH, LL, PDH, PDL, H1H, H1L, H4H, H4L) for quick reference even when levels are off screen
Optional alert conditions for when price crosses any session high or low, as well as Overnight H1 and H4 levels
Use it on your intraday charts to quickly see which session ranges have been taken out, where the prior New York range sits, and which overnight H1 or H4 levels are in play.
Ved Order BlocksOverview
Ved Order Blocks identifies critical supply and demand zones where significant buying and selling pressure exists.
The indicator automatically detects, validates, and displays high-probability support/resistance areas on your chart.
What Makes This Indicator Unique?
Micro-Level Detection System:
This indicator uses a high-period Relative Strenght Index to detect micro-level crossovers.
The high period length is specifically chosen to create a smooth line that filters out market noise completely.
This smooth calculation allows the indicator to catch precise Important levels that shorter periods would miss.
Smart Zone Filtering:
Unlike traditional order block indicators that show every single zone (creating chart clutter), Ved Order Blocks only displays overlapping zones.
When multiple order blocks stack on top of each other at the same price level, it indicates strong market interest.
Single, isolated zones are automatically hidden from your chart - you only see high-quality confluence areas where multiple zones converge.
Continuous Zone Tracking:
The indicator continuously tracks all order blocks in the background.
It monitors which zones are forming and where they overlap.
Only when zones overlap with each other does the indicator display them on your chart.
This ensures you're only seeing the most important levels where multiple orders are stacked.
Strength-Based Classification:
When order blocks form near the momentum centerline (around 50 level) AND near major moving average levels, the indicator marks them as "Strong Bullish OB" or "Strong Bearish OB" with special colored borders.
These points are particularly powerful because they represent both momentum equilibrium and trend support/resistance - the good setup for significant market moves.
How It Works
Monitors Micro levels of Relative Strenght Index
Each level represents potential high-activity zones
This range filters out noise and captures only significant moves
Step 2: Zone Creation
When momentum crosses upward: Creates Bullish Order Block (demand zone)
When momentum crosses downward: Creates Bearish Order Block (supply zone)
Uses the candle's high and low at crossover point
Step 3: Confirmation Delay
New zones enter a "pending" queue
Must survive 6 bars (default) before appearing
This filters out false signals
Only validated zones show on chart
Step 4: Size Filter (Optional)
Removes zones larger than 1.5% of current price (default)
Large zones are often unreliable
Keeps only actionable zones
Step 5: Overlap Detection
Compares all active order blocks continuously
Tracks which zones are overlapping with each other
When 2+ zones overlap = Premium confluence zone
Overlapping zones get higher strength ratings
IMPORTANT: Only overlapping zones are displayed on chart
Single zones are tracked but not shown (reduces clutter)
This ensures you only see high-quality levels
Strong Orderblocks
Type 1: Centerline Zones (Yellow Border)
Order blocks that form when momentum is near the Centerline
Represents perfect balance between buyers and sellers
Often leads to explosive moves as equilibrium breaks
Type 2: Major MA Zones (Orange Border)
Order blocks that form near the major moving average
Represents alignment with long-term trend
Acts as major support/resistance for large market participants
Type 3: Super Strong Zones (Purple Border)
Order blocks that meet BOTH conditions simultaneously
Highest probability setups
Settings Explained
Core Settings
Bar Delay (Default: 6)
Bars to wait before showing zone
Higher = fewer but reliable zones
Lower = more zones but more false signals
Order Block Sensitivity (Default: 10)
Detection frequency adjustment
Range: 1-20
Show Last Order Blocks (Default: 500)
Maximum zones displayed
Prevents chart clutter
Mitigation Method
Close: Zone breaks when candle closes beyond it
Wick: Zone breaks when price wicks through it
Order Block Style
Candle Body: Uses only body (tighter zones)
Full Candle: Uses full candle with wicks
Filters
Use Volume for Strength (Default: ON)
Includes volume in strength calculation
Recommended to keep ON
Filter Out Large Order Blocks (Default: OFF)
Enable to remove oversized zones
Set max size as % of price (default 1.5%)
Show Only Strong Order Blocks (Default: OFF)
Only displays yellow/orange/purple zones
Hides standard white border zones
Strength Settings
Centerline Sensitivity (Default: 0.1)
Increase for more zones, decrease for fewer
Highlight Strong OBs (Default: ON)
Enables orange border feature
Proximity Threshold (Default: 0.2%)
0.2% = tight confluence
Increase for more highlights
Timeframe Settings
Scalping (1m-5m)
Bar Delay: 3-5
Show Last OBs: 100
Show Only Strong: ON
Mitigation: Wick
Day Trading (15m-1H)
Bar Delay: 6-8
Show Last OBs: 200
Show Only Strong: OFF
Mitigation: Close
Swing Trading (4H-Daily)
Bar Delay: 8-12
Show Last OBs: 300
Show Only Strong: ON
Mitigation: Close
Key Advantages:
Eliminates chart clutter by showing only overlapping zones
High-period calculation filters all market noise
Automatic strength classification with visual indicators
Works on all timeframes and markets
Fully customizable to match your trading style
Auto-removes broken zones to keep chart updated
Important Limitation:
This indicator uses long period calculations.
Due to these high period requirements, the indicator's performance may vary for free TradingView users who have limited historical data access.
This indicator is best suited for TradingView paid plan users (Essential, Plus, or Premium) as they have access to extensive historical data, which allows the indicator to calculate and display zones more accurately and consistently across all timeframes.
EMA Trend Stacked Meter (Debounced)The EMA Baseline Stacked Meter is a minimalist trend-regime indicator designed for fast, at-a-glance confirmation of market structure. It compares three exponential moving averages (Fast, Medium, and Slow) against a short baseline EMA and displays their relationship as stacked horizontal color bars in a dedicated lower panel. Each bar represents a different trend speed, allowing you to instantly see whether short-term, mid-term, and slower momentum are aligned.
How It Works
The indicator uses a Baseline EMA (default 8) as the reference point. When an EMA is below the baseline, its bar turns green (bullish bias). When the EMA is above the baseline, its bar turns red (bearish bias). The three stacked bars are always fixed in position: Fast on top, Medium in the middle, and Slow on the bottom. This fixed layout ensures that only color changes convey market state, eliminating visual noise from oscillation or movement.
Debounce Filter (Noise Suppression)
To prevent false signals caused by single-candle price spikes, the indicator includes a built-in 2-bar debounce filter. This means a bar will only change color if the bullish or bearish condition is confirmed for two consecutive candles. Brief one-candle flips (for example: red → green → red) are ignored entirely. This dramatically improves signal stability during choppy or low-liquidity conditions.
Ideal Use Cases
This indicator is especially effective as a trend confirmation tool for scalping, day trading, and intraday swing trading. It pairs well with entry systems based on EMAs, VWAP, RSI, MACD, or price-action breakouts. Traders often use it to quickly confirm whether momentum across multiple speeds is aligned before entering a position.
Default Settings
Baseline EMA: 8
Fast EMA: 13
Medium EMA: 21
Slow EMA: 34
All values are fully adjustable from the settings panel.
What This Indicator Is Not
This is not a buy/sell signal generator by itself. It is a regime filter and confirmation tool designed to help you avoid trading against dominant momentum. It does not repaint, does not rely on future data, and does not shift visually after the candle closes.
Alt Trading: Tom's Reversal Strategy
The Alt Trading: Tom’s Reversal Strategy indicator is a multi-layered market-structure and regime-detection tool engineered specifically for intraday futures trading. It dynamically computes hourly directional bias using higher-timeframe OHLC data, enabling traders to visually interpret bullish or bearish regime transitions with precision. The system identifies structural turning points through pivot-based swing analysis and confirms Break-of-Structure (BOS) events with strict or non-strict validation logic. Once a valid BOS occurs inside a higher-timeframe continuation window, the indicator generates long or short signals that incorporate intelligent risk modeling, including pivot-derived stop placement and customizable fixed-risk calibration. Automated risk-to-reward boxes are drawn in real time, updating tick-by-tick until either the stop or target is hit, allowing for clear visualization of trade lifecycle and expectancy. A second-order trend-continuation filter highlights specific intra-hour windows—referred to as “blue windows”—giving traders refined timing insights for potential reversals. With optional background bias shading, customizable TP/SL lines, and fully stylized BOS labels, the interface provides a clean, highly interpretable execution framework. Designed with scalpers and algorithmic traders in mind, the indicator blends structure, regime context, and real-time visualization to produce high-probability reversal setups during the most liquid hours of the trading session.
XAUUSD Liquidity Sweep + Engulfing (4H/2H/15m)Key Features in This Script:
4H Bias (Trend): We use RSI on 4H to determine if the market is in a bullish or bearish trend.
2H Setup: When price sweeps below previous lows or above previous highs (liquidity sweep), we confirm it with RSI and an engulfing candle.
15m Entry: After the liquidity sweep is confirmed on the 15m chart, we check for a bullish engulfing (for buys) or bearish engulfing (for sells) with RSI confirmation.
How to Use It:
Add the Script: Copy-paste the code above into TradingView’s Pine Editor.
Apply it to the 15-minute chart for XAUUSD (Gold).
Alerts: Set up alerts when a Buy or Sell signal appears based on the conditions.
Alerts Example:
When a liquidity sweep and RSI flip happens with an engulfing candle, TradingView will notify you, helping you enter at the right time.
🚀 Next Steps:
Try it out and let me know how the alerts and signals are working for you.
If you'd like to add custom stop-loss or take-profit calculations, or include Fibonacci levels, let me know!
Multi-Entry Fibonacci CalculatorMulti-Entry Fibonacci Calculator
This tool is a comprehensive trade calculator designed for discretionary traders who plan to scale into positions. It automates the complex task of position sizing across up to three separate entries while ensuring your total risk exposure remains fixed. By inputting your desired entry, stop loss, and initial profit target levels, the script calculates the precise quantity for each entry and provides a dynamic, real-time view of your trade's vitals.
The primary goal of this script is to allow for disciplined risk management in multi-entry trade plans. Whether you are averaging into a position or adding on pullbacks, this tool ensures your total predefined risk is never exceeded, even if all entries are filled.
Key Features
Multi-Entry Position Sizing: Automatically calculates the share/contract size for up to three entries based on their distance from the stop loss and user-defined weights.
Fixed Risk Management: Define your total risk as a percentage of your account. The script ensures that a full stop-out across all filled entries will result in a loss equal to this predefined amount.
Dynamic Take Profit: The take-profit level automatically adjusts based on your current average entry price to preserve the original target profit amount in dollars.
Real-Time Info Panel: A customizable on-chart panel displays all critical trade data, including current quantity, average price, projected P&L, and trade status.
Visual Trade Plan: Plots all your defined price levels (entries, stop loss, take profit) directly on the chart with informative labels.
Trade State Tracking & Alerts: The script monitors the price and will trigger alerts when entries are hit, or when the stop loss or take profit levels are reached.
How to Use
Configure Account & Risk: In the settings, enter your "Account Size" and the "Risk per Trade (%)" you are willing to take on the entire position.
Set Trade Direction: Choose either "LONG" or "SHORT".
Input Price Levels: Manually enter the prices for your entries (Entry 1, 2, 3), your "Stop Loss Price," and an "Initial TP Reference." The initial TP is used to calculate the target profit in dollars.
Distribute Position Weight: Assign weights to each entry (e.g., 50% for Entry 1, 30% for Entry 2, 20% for Entry 3). The total should sum to 100.
Monitor the Trade: Use the info panel and on-chart visuals to track the trade's progress. The script will show your average price as entries are filled and update the dynamic take-profit level accordingly.
Understanding the Calculations
Weighted Position Sizing: The script calculates sizes for each entry so that if all entries are filled and the stop loss is hit, your total loss will equal your predefined risk amount. It intelligently allocates size based on the distance of each entry from the stop loss and the weight you assign to it.
Dynamic Take Profit: The "Initial TP Reference" is used only to calculate a target profit in dollars based on your first entry's size. The script then calculates a dynamic TP line on your chart. This line adjusts based on your average entry price as positions are filled, ensuring that if price reaches this level, you will realize your original target dollar profit, regardless of how many entries were filled.
On-Chart Elements
Price Lines: Blue lines for entries, a red line for the stop loss, and a green line for the dynamic take profit.
Labels: Display the calculated quantity for each entry, the total risk amount at the stop loss, and the target profit amount at the take profit.
Average Price: Yellow circles plot your live average entry price as the position is built.
Info Panel: A comprehensive table showing live trade status, current quantity, average price, and projected profit/loss. The panel changes color to green on a TP hit and red on an SL hit.
EMA11 + SMA33 + SMA200 (Long/Short Signals)Moving averages EMA11 + SMA33 + SMA200 (Long/Short Signals) plus graphical representation of entry into a long/short position
Open Interest Delta AggregateOpen Interest Delta - By Randy (Multi-Exchange Version)This Pine Script indicator calculates and displays the daily change (delta) in total Open Interest across multiple major perpetual futures exchanges.Key Features:Aggregates Open Interest from Binance, OKX, ByBit, Bitget, HTX, and the current chart’s exchange (if any).
You toggle each exchange on/off individually — it automatically sums all active sources.
Plots OI Delta as histogram columns (Type 1 = combined, Type 2 = separate positive/negative).
Uses dynamic thresholds based on standard deviation of positive/negative OI delta EMA to classify changes as:Normal (yellow)
Medium (orange)
Large (red)
Extreme (purple)
Optionally colors price candles when OI delta crosses these significant thresholds (great for spotting big money moves).
Works best on daily timeframe (automatically switches to daily OI data even if you're viewing lower timeframes).
In Simple Terms:It shows you when huge amounts of new positions (long or short) are being opened across the biggest crypto futures exchanges — a powerful signal of institutional/smart money activity and potential trend strength or reversals. The more exchanges light up with extreme OI delta, the stronger the conviction behind the move.
Trendline365 Delta V2025 (Fixa)The Trendline365 Delta is an advanced structural-reading indicator that combines multiple layers of fixed moving averages, organized by color, to reveal the real dynamics of the trend across different time horizons. It does not attempt to predict the market — instead, it accurately describes how the trend is behaving right now, allowing traders to identify acceleration, weakness, transitions, and decision points that usually go unnoticed.
The indicator is divided into color-coded bands:
Red Series → Represents ultra-short-term momentum. It serves as an immediate thermometer of strength or weakness, ideal for validating early moves and shallow pullbacks.
Yellow Series → Captures the intermediate trend. This zone acts as a powerful filter to avoid rushed entries and highlights deeper corrections within a larger trend.
Green Series → Shows the macro structure of the trend. When price consistently stays above or below this band, a clear primary direction is established.
Blue Series → The classic institutional axis, the most widely used global reference to evaluate bull markets and bear markets.
Long Blue Series → Represents the extreme long-term trend. A “gravitational floor” that only shifts when entire market cycles reverse.
In addition to the moving averages, the indicator includes a 20-period Volume Moving Average, allowing the trader to evaluate the strength behind price movements. The combination of structure (moving averages) and energy (volume) provides a clear reading of continuation, exhaustion, true breakouts, and fake breakouts.
How to use it in practice
Strong trend: price above the red/yellow bands, upward alignment, and sustained volume.
Transition: when price begins crossing from one colored band to another, especially if volume divergence is present.
Healthy corrections: low-volume pullbacks into the red/yellow zones.
Cycle change: breakouts of the green band or the 200-period level with increasing volume.
The Trendline365 Delta simplifies trend analysis and transforms the chart into an intuitive visual map, ideal for swing traders, position traders, and content creators who want to explain the market with clarity and authority.
Swing High Low Prace Sonik-n8 This script identifies and marks all local swing highs and lows on the price chart.
It automatically plots horizontal levels for each new swing, helping traders visually detect support, resistance, and market structure shifts.
When price breaks a previous swing level, the indicator updates accordingly, providing a clear view of liquidity sweeps and potential trend reversals.
Simple, clean, and effective – perfect for technical traders analyzing price action and structure.
SMC God Mode — PREMIUM v13.0SMC God Mode — Premium v13.0
I developed this script to automate the mechanical parts of Smart Money Concepts (SMC) analysis. Instead of manually drawing structure and zones every morning, this tool calculates them algorithmically based on price action and volatility logic.
How the Algorithm Works:
1. Structure & Trends
The script identifies Swings Highs/Lows based on a pivot system filtered by ATR. It creates a "Clean Structure" view, filtering out minor noise to show true BOS (Break of Structure) and CHoCH (Change of Character).
*Logic:* A breakout is only valid if the candle body closes beyond the pivot with sufficient momentum (Impulse Filter).
2. Quant-Based Order Blocks
Most indicators just highlight the last candle before a move. My algorithm actually **scores** each block (0-100) to find high-probability zones (A+ setups).
Volume & Velocity: It compares the volume of the move against the 20-period average and calculates the "displacement" speed.
Grading: Zones with low volume or weak reactions are filtered out or graded lower (C). Only significant institutional footprints get an "A" grade.
3. Imbalance (FVG) & Liquidity
FVG: Detects gaps where price moved inefficiently. Includes a gradient visual to show the intensity of the gap.
Liquidity Sweeps: The script detects "Stop Hunts" — where price breaks a pivot level but fails to close above/below it, signalling a reversal trap.
Features:
Auto-Fibonacci:
Automatically anchors to the recent structural leg (Premium/Discount zones).
Multi-Timeframe Dashboard:** Shows trend bias from higher timeframes.
Breaker Blocks: Automatically flips failed Order Blocks into Support/Resistance.
Alerts: Fully integrated alerts for CHoCH, Sweeps, and Zone Mitigations.
ACCESS INFORMATION:
This is a private institutional tool (Invite-Only).
To get access, please check the link in my Signature below or visit my profile description.
Hierarchical Hidden Markov Model - Probability Cone
The Hierarchical Hidden Markov Model - Probability Cone Indicator employs Hierarchical Hidden Markov Models for forecasting future price movements in financial markets. HHMMs are statistical tools that predict transitions between hidden states, such as different market regimes, based on observed data. This makes them valuable for understanding market behaviours and projecting future price trajectories. As discussed in the Hierarchical Hidden Markov Model indicator, HHMMs predict future states and their associated outputs based on the current state and model parameters. This tool is fundamentally very similar to the traditional HMM . The application of the HHMM for generating a probability cone forecast is therefore also fundamentally the same between HMM and HHMM. Despite their significant similarity I will go through the same fundamental examples of how probability cone is generated for the HHMM as I did for the HMM probability cone .
As you might know by now the probability cone indicator uses the knowledge about the current identified "state" or "regime" and with the help of transition probabilities, emission probabilities and initial probabilities generate a probabilistic forecast of the expected future price movements. To better understand the behind the Probability Cone we encourage you to use and learn about our free version of the Probability Cone as well as for even deeper understanding the Probability Cone Pro.
WHAT ARE REGIME DEPENDENT FORECASTS
We established that the indicator creates probabilistic forecasts of future price movements dependent on the current identified "state" or market "regime" via the Hidden Markov Model. In the image below we can see an example.
In this example we can see 4 different probability cones forecasting a 70% and 90% probability range (15% and 5% quantiles respectively). What you may notice is that the 4 probability cones look vastly different, despite using the same probability ranges as well as being generated from the same model trained on virtually the same data. What allows for this difference in the forecast, is conditioning the forecast on the current most likely identified state by the HHMM.
The first most cone is generating a forecast taking into account that the model identified the current market condition to be a extremely low in volatility this is a characteristic of the state identified by the light green coloured posterior probability. The second cone is significantly wider as well as has a negative drift, this is the case because that state identified by the red posterior probability is characterised by the most extreme volatility along with significant negative returns. The cone after that remains quite wide however is again associated with positive returns, this is characteristic of the state that the model identified via a high yelow coloured posterior probability. The last probability cone is again generated from a state that is characterised by quite low volatility albeit not the lowest. We can also see the state associated with that behaviour is identified by the high dark green posterior probability which is the highest at that time.
NOTE! Those are within sample forecasts, you can find more information on the difference between within sample model fit and out of sample prediction in the HHMM indicator description
This indicator also allows you to specify whether you wish to display probability based labels at the edges of the cone or whether you would prefer to display percent change based labels. With percent change labels you get the exact percentage value of the probabilistic increase or decrease of the price. See the example below
BARS BACK OFFSET vs DATE BASED OFFSET
The cones position can be offset by specifying the number of bars we wish to move it back similarly as with the rest of probability cone indicators. This indicator has however an additional, date based offset implemented. A user can therefore specify the position of the cone by specifying a date in the settings. The advantage of using the date based offset is that once it is turned on the user can also slide the cone up and down the chart with their mouse without having to manually adjust the date in the settings.
DIFFICULTIES WITH GENERATING FORECASTS (advanced):
The estimation of the probability cone, gets more difficult the more complex the model gets. A simple normal distribution probability cone can scale the distribution over time by simply multiplying the drift by the number of time steps and the volatility by the square root of time steps we wish to forecast for. More complex distributions often have to rely on mode advanced methods like convolutions, monte carlo or other kinds of approximations.
To estimate the probability cone forecast for the Hierarchial Hidden Markov Model, the indicator integrates two primary methodologies: Gaussian approximation and importance sampling. The Gaussian approximation is utilised for estimating the central 90% of future prices. This method provides a quick and efficient estimation within this central range, capturing the most likely price movements. The gaussian approximation will result in a forecast with an equal mean and variance as the true forecast, it will however not accurately reflect higher moments like skewness and kurtosis. For that reason the tail quantiles, which represent extreme price movements beyond the central range (90%), are estimated via importance sampling. This approach ensures a more accurate estimation of the skewness and kurtosis associated with extreme scenarios. While importance sampling leverages the flexibility of Monte Carlo as well as attempts to increase its efficiency by sampling from more precise areas of the distribution, the importance sampling may still underestimate most extreme quantiles associated with the lowest probabilities which is an inherent limitation of the indicator.
Example of gaussian approximation cone for probabilities above 5% (90% range):
Example of importance sampling cone for tail probabilities lower than 5% (beyond 90% range):
WARNING!
As per usual understand that the probabilities are estimations and best guesses based on the historical data and the patterns identified by the model and do not represent the true probability which is unknown in reality.
Settings:
- Source: Data source used for the model
- Forecast Period: Number of bars ahead for generating forecasts.
- Simulation Number: Number of Monte Carlo simulations to run in the case of importance sampling
-Body Probability: Specifies the inner range of the probability cone. The probability specifies the ammount of observations that are expected to fall outside of this range
- Tail Probability: Specifies the outter range of the probability cone. When this probability is under 5%, importance sampling will turn on
- Lock Cone: When ticked on, the cone will be locked at its current position.
- Offset Cone Based on Date: When ticked on, the position of the cone will be determined by the selected date.
- Offset: When "Offset Cone Based on Date" is turned off, you can use offset setting to specify the position of the cone projection.
- Date: When "Offset Cone Based on Date" is turned on, you can use the date setting to specify the date from which the forecast starts.
- Reestimate Model Every N Bars: This is especially useful if you wish to use the indicator on lower timeframes where model estimation might take longer than for the new datapoint to arrive. In that case you can specify after how many bars the model should be reestimated.
- Training Period: Length of historical data used to train the HMM.
- Expectation Maximization Iterations: Number of iterations for the EM algorithm.
- Cone Colors: Customizable colors for the probability cone, when approximation is on and when importance sampling is on
NY 8-11 Statistical Bias NQ 【Donkey】This indicator analyzes historical session patterns to predict directional bias during the NY 8:00-11:00 AM trading window for Micro NQ futures.
Simple Logic:
Monitors 3 sessions: Asian (20:00-02:00), London (02:00-08:00), NY (08:00-11:00)
Identifies current pattern based on: ranges, opening positions, and sweep behaviors
Searches database of 2.080 historical sessions for matching patterns
Displays statistical probability: "X% reached HIGH" vs "Y% reached LOW"
Shows expected drawdown levels for risk management
Example: If pattern shows "77% HIGH bias" → historically, 77 out of 100 similar sessions reached London high during NY 8-11 window.
Key Features
✅ Statistical Database:2.080 real sessions analyzed, 236 unique patterns
✅ 4-Level Pattern Matching: Finds best match with minimum 25 occurrences
✅ Live Bias Display: Shows HIGH% vs LOW% probability in real-time table
✅ Risk Management Zones: Visual drawdown levels (50%, 75%, 90%) + stop-loss suggestion
✅ No Repainting: Calculations made in real-time, no look-ahead bias
✅ Session Visualization: Color-coded boxes for Asian/London/NY ranges
How Pattern Matching Works
5 Components Analyzed:
Asian Range: Above/Below average
London Open: Above/Below Asian 50%
London Sweep: H, L, DH (double high→low), DL (double low→high), N (none)
London Range: Above/Below average
NY Open: Above/Below London 50%
Cascade Search (finds best available match):
Level 1: All 5 components (most specific)
Level 2: 4 components (drops London Range)
Level 3: 3 components (core pattern)
Level 4: 2 components (minimal pattern)
Validity: Only displays patterns with ≥25 historical occurrences.
Interpretation
Bias Table Shows:
Pattern match level (1-4) and historical count
Session characteristics (ranges, sweeps, positions)
TOTAL HIGH % = probability of reaching London high
TOTAL LOW % = probability of reaching London low
Bias strength: ⭐⭐⭐ STRONG (≥70%), ⭐⭐ MEDIUM (60-69%), ⭐ WEAK (<60%)
Drawdown Zones (for winning trades):
🟢 Green: 50% of winners stayed within this level
🟡 Yellow: 75% of winners stayed within this level
🟠 Orange: 90% of winners stayed within this level
🔴 Red Line: Suggested stop-loss (95th percentile + buffer)
Settings
Fully Customizable:
Timezone selection (auto-detects sessions correctly)
Minimum session threshold (default: 25)
Toggle boxes, lines, labels, drawdown zones
Complete color customization
Table size and position
Best Use Cases
✅ Optimal Setup:
Instrument: Micro NQ (MNQ) futures
Timeframe: Only 1-minute
Timezone: America/New_York
Historical data: 8+ years loaded
✅ Trading Approach:
Wait for pattern confirmation (≥25 sessions)
Prefer STRONG bias (≥70%) for higher confidence
Use drawdown zones for stop placement
Combine with price action confirmation
Avoid major news events (FOMC, NFP)
⚠️ Required Disclaimers
IMPORTANT RISK WARNINGS:
Past Performance ≠ Future Results: Historical statistics do NOT guarantee future outcomes
Not Financial Advice: Educational tool for statistical analysis only
Risk of Loss: Futures trading involves substantial risk of loss
No Guarantees: Individual trades WILL result in losses regardless of percentages shown
Requires Knowledge: Best for traders familiar with session analysis and risk management
Instrument-Specific: Optimized for Micro NQ - test before using elsewhere
Never risk more than you can afford to lose. Always use proper risk management.
HTF CandleKey Features:
- Real-time Higher Timeframe candles (5m, 15m, 1H, 4H, D, W, M – any timeframe you want, including 5-minute HTF on a 1-minute chart)
- Seamlessly display 5-minute HTF candles when on a 1-minute timeframe for precise multi-timeframe analysis
- Live developing candle that updates on every tick
- Live Trace Lines for Open, High, Low & Current Close (dotted/dashed styles with optional value labels)
- Fully customizable candle body, border, and wick colors & width
- HTF candle countdown timer (shows exact time left until next candle closes)
- Smart auto-reordering – zero overlap, perfect spacing every time
- Up to 10 completed + 1 live HTF candle display
- Intelligent label alignment (global high/low or per-candle)
- Top & bottom timeframe labels with optional timer
- Extremely lightweight – runs perfectly smooth even on 1-minute charts
- 100% Non-Repainting (except natural live-trace updates of the forming candle)
- No lag, no delay, no false signals
Perfect for:
- ICT / SMC traders
- Smart Money Concepts
- Order Blocks & Fair Value Gaps
- Multi-timeframe confluence
- Supply & Demand zones
Hidden Markov Model - Probability Cone
The Hidden Markov Model - Probability Cone Indicator employs Hidden Markov Models (HMMs) for forecasting future price movements in financial markets. HMMs are statistical tools that predict transitions between hidden states, such as different market regimes, based on observed data. This makes them valuable for understanding market behaviours and projecting future price trajectories. As discussed in the Hidden Markov Model indicator, HMMs predict future states and their associated outputs based on the current state and model parameters.
The probability cone indicator therefore uses the knowledge about the current identified "state" or "regime" and with the help of transition probabilities, emission probabilities and initial probabilities generate a probabilistic forecast of the expected future price movements. To better understand the behind the Probability Cone we encourage you to use and learn about our free version of the Probability Cone as well as for even deeper understanding the Probability Cone Pro.
WHAT ARE REGIME DEPENDENT FORECASTS
As mentioned above the indicator creates probabilistic forecasts of future price movements dependent on the current identified "state" or market "regime" via the Hidden Markov Model. In the image below we can see an example.
In this example we can see 3 different probability cones forecasting a 70% and 90% probability range (15% and 5% quantiles respectively). What you may notice is that the 3 probability cones look vastly different, despite using the same probability ranges as well as being generated from the same model trained on virtually the same data. What allows for this difference in the forecast is conditioning the forecast on the current most likely identified state by the HMM.
The first most wide cone is generating a forecast taking into account that the model identified the current market condition to be a very volatile which is a characteristic of the state identified by the orange coloured posterior probability. The second cone is significantly more narrow as that state identified by the purple posterior probability is characterised by lower volatility. Nevertheless, the last probability cone is generated from the state that is characterised by the lowest volatility, we can also see the light blue posterior probability to be the highest at that time.
The indicator also allows you to specify whether you wish to display probability based labels at the edges of the cone or whether you would prefer to display percent change based labels. With percent change labels you get the exact percentage value of the probabilistic increase or decrease of the price. See the example below
BARS BACK OFFSET vs DATE BASED OFFSET
The cones position can be offset by specifying the number of bars we wish to move it back similarly as with the rest of probability cone indicators. This indicator has however an additional, date based offset implemented. A user can therefore specify the position of the cone by specifying a date in the settings. The advantage of using the date based offset is that once it is turned on the user can also slide the cone up and down the chart with their mouse without having to manually adjust the date in the settings.
DIFFICULTIES WITH GENERATING FORECASTS (advanced):
The estimation of the probability cone, gets more difficult the more complex the model gets. A simple normal distribution probability cone can scale the distribution over time by simply multiplying the drift by the number of time steps and the volatility by the square root of time steps we wish to forecast for. More complex distributions often have to rely on mode advanced methods like convolutions, monte carlo or other kinds of approximations.
To estimate the probability cone forecast for the Hidden Markov Model, the indicator integrates two primary methodologies: Gaussian approximation and importance sampling. The Gaussian approximation is utilized for estimating the central 90% of future prices. This method provides a quick and efficient estimation within this central range, capturing the most likely price movements. The gaussian approximation will result in a forecast with an equal mean and variance as the true forecast, it will however not accurately reflect higher moments like skewness and kurtosis. For that reason the tail quantiles, which represent extreme price movements beyond the central range (90%), are estimated via importance sampling. This approach ensures a more accurate estimation of the skewness and kurtosis associated with extreme scenarios. While impoortance sampling leverages the flexibility of monte carlo as well as attempts to increase its efficiency by sampling from more precise areas of the distribution, the importance sampling may still underestimate most extreme quantiles associated with the lowest probabilties which is an inherent limitation of the indicator.
Example of gaussian approximation cone for probabilities above 5% (90% range):
Example of importance sampling cone for tail probabilities lower than 5% (beyond 90% range):
WARNING!
As per usual understand that the probabilities are estimations and best guesses based on the historical data and the patterns identified by the model and do not represent the true probability which is unknown in reality.
Settings:
- Source: Data source used for the model
- Forecast Period: Number of bars ahead for generating forecasts.
- Simulation Number: Number of Monte Carlo simulations to run in the case of importance sampling
-Body Probability: Specifies the inner range of the probability cone. The probability specifies the ammount of observations that are expected to fall outside of this range
- Tail Probability: Specifies the outter range of the probability cone. When this probability is under 5%, importance sampling will turn on
- Lock Cone: When ticked on, the cone will be locked at its current position.
- Offset Cone Based on Date: When ticked on, the position of the cone will be determined by the selected date.
- Offset: When "Offset Cone Based on Date" is turned off, you can use offset setting to specify the position of the cone projection.
- Date: When "Offset Cone Based on Date" is turned on, you can use the date setting to specify the date from which the forecast starts.
- Reestimate Model Every N Bars: This is especially useful if you wish to use the indicator on lower timeframes where model estimation might take longer than for the new datapoint to arrive. In that case you can specify after how many bars the model should be reestimated.
- Training Period: Length of historical data used to train the HMM.
- Expectation Maximization Iterations: Number of iterations for the EM algorithm.
- Cone Colors: Customizable colors for the probability cone, when approximation is on and when importance sampling is on
Bullish Volume RatioBullish Volume Ratio (BVR) Indicator
The Bullish Volume Ratio (BVR) is a sophisticated momentum oscillator designed to measure the true intensity of buying pressure versus selling pressure in the market. It provides a unique, statistically-driven view of market conviction, making it an essential tool for traders who seek to confirm trend health and anticipate major shifts.
BVR achieves its precision by not only assessing net volume but also using proprietary volume weighting logic to gauge the quality of participation in each candle, filtering out market noise to present a clear picture of underlying demand.
Key Features
Statistically-Driven Conviction: The indicator utilizes a Z-Score to measure how far the current BVR reading deviates from its historical average, providing an objective measure of whether buying or selling is truly exceptional or just noise.
Clear Visual Signals: The oscillator plot is designed for clear interpretation on a separate pane, helping you identify regime shifts without cluttering the main price chart.
Real-Time Data Dashboard (Optional): A customizable table on the chart displays the current BVR, Z-score, and other critical volume metrics at a glance.
Simplified Trading Guide
The BVR indicator simplifies volume analysis into clear, actionable signals that can be used for trend confirmation and reversal anticipation.
1. Trend Confirmation
Use the BVR to confirm the momentum of an existing trend:
Bullish Confirmation: When price is trending up, look for the BVR line to be rising and consistently above the center line. This signals that buyers are in firm control and the uptrend has strong volume conviction.
Bearish Confirmation: When price is trending down, look for the BVR line to be falling and deep below the center line. This indicates sellers are dominating the volume profile, confirming the strength of the downtrend.
2. Identifying Trade Entry/Exit Zones
The indicator's Z-Score component is key to spotting extremes that often precede a reversal:
Potential Long Entry: Look for a sustained negative Z-Score followed by a sharp crossover back towards the center line or into positive territory. This can signal that selling pressure has reached an exhaustion point and accumulation (buying) is beginning.
Potential Short Entry: Look for a sustained positive Z-Score followed by a sharp crossover back towards the center line or into negative territory. This suggests that buying momentum is exhausted and distribution (selling) is commencing.
3. The Volume Spike Filter
The indicator also alerts you to candles with significantly high volume relative to the recent average. Use this as a filter:
Breakout Validation: A price breakout is more likely to be legitimate if it is accompanied by a high volume spike confirmed by a strong BVR reading in the direction of the breakout.
Reversal Warning: A high volume spike at a key support or resistance level, particularly one that leads to a sharp turn in the BVR, can strongly signal a climactic reversal in progress.
ARCH ProxyARCH Proxy (ARCH) - Volatility Assessment Indicator
The ARCH Proxy indicator (short title: ARCH) is a dynamic, multi-factor volatility assessment tool designed to help traders quickly gauge the current energy and risk level of the market. It plots a real-time measure of price fluctuation against its long-term historical average and adaptive High/Low Volatility thresholds. This provides a clear, objective framework for distinguishing between periods of market compression (low-energy consolidation) and expansion (high-risk volatility), optimizing strategy selection and risk management.
Simplified Trading Guide
The ARCH indicator offers a clear, objective signal framework to guide your trading decisions based on market energy :
Spotting High-Risk Expansion (Climax):
Signal: The main ARCH Proxy line moves sharply above the High Volatility Threshold (typically a red line).
Action: This signals the market is in a period of intense, climactic price action. This is often a time to avoid new entries, reduce exposure, or look for potential trend exhaustion and reversals due to the high risk of a sudden correction.
Identifying Low-Energy Compression (Setup):
Signal: The main ARCH Proxy line trends consistently below the Low Volatility Threshold (typically a green line).
Action: This indicates a market consolidation phase. This "low-energy" compression frequently precedes a strong breakout (expansion). Traders should prepare for an entry in the direction of the dominant trend, anticipating a coming surge in momentum.
Normal Trading Conditions:
Signal: The ARCH Proxy line is fluctuating between the High and Low Volatility thresholds.
Action: The market is in a normal state. Use this time to follow the dominant trend with standard risk parameters.
