QUANTLABS Fisher Stream: 5-TF Consensus RibbonMarkets are noisy. A single timeframe often lies. The Fisher Stream cuts through the noise by inspecting 5 sequential timeframes (Default: 5m, 6m, 7m, 8m, 9m) simultaneously to find the "Perfect Flow."
Unlike standard indicators that repaint or lag, this tool looks for Consensus. When the fast, medium, and slow timeframes within the stream all agree, the ribbon glows, and the background flashes, indicating a high-probability "Full Flow" state.
The Ribbon: Plots 5 distinct Fisher Transforms.
Blue Lines: Faster timeframes (leading indicators).
Orange Lines: Slower timeframes (trend confirmation).
Consensus Check:
FULL FLOW (Bull): When all 5 lines are > 0. The background flashes Green.
FULL FLOW (Bear): When all 5 lines are < 0. The background flashes Red.
MIXED (Chop): When the lines disagree. The background remains dark, warning you to stay out.
Dashboard: A heads-up display showing the exact Fisher value for every timeframe in the cluster.
Scalpers: Use the default settings (5m-9m). Enter only when the dashboard says "FULL FLOW" and the candles turn solid Green/Red.
Trend Traders: Change the inputs to higher timeframes (e.g., 15m, 30m, 45m, 1H, 4H) to catch major swing moves.
지표 및 전략
Moving Average Ribbon by AbrarIndicator Description — Moving Average Ribbon (Multi-TF Enhanced)
The Moving Average Ribbon (Enhanced) is a powerful trend-analysis tool that displays up to 7 customizable moving averages along with a Weekly SMA 150 for higher-timeframe confluence. Each MA can be individually configured with length, source, type (SMA/EMA/WMA/SMMA/VWMA), and color.
The script also features automatic labels on the latest bar, allowing traders to instantly identify each moving average on the chart without confusion.
This indicator is designed to help traders:
Visualize trend strength and direction
Spot dynamic support/resistance zones
Identify momentum shifts
Incorporate higher-timeframe confirmation through the Weekly SMA 150
Whether you trade intraday or swing, this ribbon provides a clean and flexible layout to understand market structure at a glance.
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.
Smart Christmas Tree Overlay with Live Market StatusGet into the holiday spirit while you trade! 🎅📈
This script adds a festive, animated Christmas tree overlay to your chart that reacts to live market conditions in real-time. It is designed with a "Slim Fit" ratio to minimize screen real estate while maximizing the holiday vibe.
Key Features:
🎄 Trend-Reactive Lighting:
Bullish (Up): The tree lights sparkle in Green tones, and a special Blue Diamond (🔷) shines to indicate upward momentum.
Bearish (Down): The tree lights turn Red, and a Red Diamond (♦️) blinks to warn of downward movement.
✨ Real-Time Animation: The lights and star blink dynamically based on price updates, making the chart feel alive.
📊 Mini Market HUD: Displays the current Ticker, Last Price, Price Change, and Change % neatly below the tree.
📐 Fully Customizable: You can easily change the tree's Position (Corners/Middle) and Size (Small to Large) via the settings menu.
🖼️ "Always On" Overlay: Uses the TradingView table function to stay fixed on your screen, regardless of zoom or scroll.
How to use: Simply add it to your chart, select your preferred corner in the settings, and enjoy the show!
Happy Holidays and Profitable Trading! 🎁
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트레이딩을 하면서 연말 분위기를 느껴보세요! 🎅📈
이 스크립트는 실시간 시장 상황에 반응하는 애니메이션 크리스마스 트리 오버레이를 차트에 추가합니다. 화면 공간을 최소한으로 차지하도록 "슬림 핏" 비율로 디자인되었습니다.
주요 기능:
🎄 추세 반응형 조명:
상승장 (Bullish): 트리 조명이 녹색 톤으로 반짝이며, 상승 모멘텀을 나타내는 특별한 **파란색 다이아몬드(🔷)**가 빛납니다.
하락장 (Bearish): 트리 조명이 빨간색으로 변하고, **빨간색 다이아몬드(♦️)**가 깜빡이며 하락을 경고합니다.
✨ 실시간 애니메이션: 가격 업데이트에 따라 조명과 별이 역동적으로 깜빡여 차트에 생동감을 줍니다.
📊 미니 시세판 (HUD): 트리 바로 아래에 현재 종목명, 현재가, 가격 변동폭, 변동률(%)을 깔끔하게 표시합니다.
📐 완벽한 커스터마이징: 설정 메뉴를 통해 트리의 위치(모서리/중간)와 크기(작게~크게)를 쉽게 변경할 수 있습니다.
🖼️ "Always On" 오버레이: TradingView의 table 기능을 사용하여 줌이나 스크롤에 관계없이 화면에 고정됩니다.
사용 방법: 차트에 추가하고 설정에서 원하는 위치를 선택하기만 하면 됩니다!
행복한 연말 보내시고 성투하세요! 🎁
양키트레이더 from PropKorea.com
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.
TrigosFX Zen | Currency Strength Matrix & Z-ScoreWelcome to the **TrigosFX Zen Matrix**, a professional-grade Currency Strength Meter designed for clarity, stability, and precision.
Unlike standard strength meters that "flicker" constantly and clutter your screen, the **TrigosFX Zen** engine is built to provide a calm, reliable read of the market. It tells you instantly which currency is the "King" (Strongest) and which is the "Victim" (Weakest), allowing you to pair them for high-probability setups.
This tool combines percentage-based relative strength with statistical analysis (Z-Score) to help you spot trends and potential reversals.
### 🚀 Key Features
**1. "Zen" Stability Mode (Anti-Flicker)**
We know how annoying it is when numbers dance around every second.
* **Update on Close:** Enable the "Quiet Mode" in settings to update values *only* when the candle closes.
* **Fixed Layout:** Columns have fixed widths, so the table never "jumps" or resizes, keeping your chart clean.
**2. Dual Reference Modes (The "Engine")**
You choose the starting line for the race:
* **Daily Open (Default):** Measures strength starting from 00:00. Perfect for understanding the overall Daily Bias.
* **Custom Session (Intraday):** Reset the counter at any specific time (e.g., London Open at 08:00 or NY Open at 13:00). This reveals the true flow of money during your specific trading session, ignoring overnight noise.
**3. Z-Score Integration (The "Elastic Band")**
(Optional - Can be toggled ON/OFF)
* The Z-Score measures statistical deviation. It acts like an "Overextension Detector."
* **Values > 2.0:** The currency is statistically overbought (stretched elastic band). Watch for reversals.
* **Values near 0.0:** The currency is moving in line with the average.
**4. Optimized Data Feed**
* Includes the official TradingView index for CHF (`TVC:SXY`) by default, ensuring accurate data for the Swiss Franc without "Symbol Error" issues.
---
### 💡 How to Use This Indicator
**Strategy 1: Trend Following (Strong vs. Weak)**
* Look for the currency with the highest positive value (Green ▲) and the lowest negative value (Red ▼).
* **Example:** If **USD is +0.60%** and **JPY is -0.50%**, the trend on **USDJPY** is strongly Bullish. Look for buys.
**Strategy 2: Session Breakouts**
* Set the "Reference Mode" to **Custom Session**.
* Set the time to your session open (e.g., 08:00 London).
* Trade the currency that immediately starts gaining momentum (Green) against the one dropping (Red) right after the bell.
**Strategy 3: Mean Reversion (Advanced)**
* Enable **Z-Score** in settings.
* If a currency hits a Z-Score above **+2.5** or below **-2.5**, the move is statistically extreme. Be cautious with trend continuation; a pullback is likely.
---
### ⚙️ Settings
* **Mode:** Switch between `Daily Open` and `Custom Session`.
* **Quiet Mode:** Check this box to update values only on candle close (Recommended for peace of mind).
* **Show Z-Score:** Toggle the statistical data on or off.
* **Visuals:** Customize position, size, and colors to match your dark/light theme.
---
*Developed by TrigosFX. Trade smart, stay Zen.*
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
Shezab AlgoLabs – 2-Wave Probability Engine (Free)A next-generation probability model designed to simplify market structure into two clean and powerful waves:
🟦 Trend Probability Wave (Teal)
Measures:
Trend momentum
Trend continuation strength
Pullback quality
Trend health
Volatility expansion
🟪 Reversal Probability Wave (Magenta)
Measures:
Over-extension
Wick pressure
RSI exhaustion
Momentum shifts
Divergence pressure
💡 What This Indicator Does
Unlike indicators that give only “buy/sell arrows,” this engine helps you understand why a market is moving:
When Trend Strength is dominating
When Reversal Pressure is building
When both waves neutralize → CHOP / No Trade
When movement is weak → Weak Trend / Weak Reversal
When trend is clean → Strong Trend
The indicator adapts dynamically to all assets:
Forex
Indices
Crypto
Commodities
Stocks
Bonds
📊 What’s Included (Free Version)
✔ Dual-Wave Probability System
Clean teal and magenta probability curves.
✔ CHOP / No-Trade Detection
Identifies consolidation pockets instantly.
✔ Weak / Strong Zone Labels
Shows weak reversals, weak trend, strong trend highs, and more.
✔ Trend & Reversal Dots
Instant visual cues when probabilities spike.
✔ Auto Dashboard Panel
Shows 5 key conditions in real time:
Bias
Trend
Reversal
Action
Zone
✔ Mobile-Compact Mode
A smaller panel for phones.
✔ Brand-Matched Color Scheme
Custom AlgoLabs Teal + AlgoLabs Magenta theme.
🎨 Unique Points
Built using a multi-component probability engine
No repainting
Carefully balanced scoring logic
Heat-map zones
Wave crossing signals
Works on any timeframe
Clean & modern design
This free version is designed to show the quality of Shezab AlgoLabs indicators before the Premium Wave Suite release.
🔒 Premium Version (Coming Soon)
The paid suite will include:
4-Wave Engine
Premium dashboard
Auto-bias detector
Institutional zones
Liquidity mapping
Alert engine
Order flow signals
Follow the profile to stay updated.
⚠ Disclaimer
This indicator is for informational & educational purposes only. Not financial advice.
Prasi - Aggressive Volume with 1:2 RRfinds out the selected time frame, where there is aggressively buying or selling
CISD Trend Candle - EMA Based3CISD Trend Candle - EMA Based is a custom Pine Script indicator that highlights trend direction based on how many consecutive bars close above or below a 21-period EMA.
🔵 Blue candles: Uptrend confirmed (e.g., 3 bars above EMA)
🔴 Red candles: Downtrend confirmed (e.g., 3 bars below EMA)
⚪ Gray candles: No clear trend
🟠 Orange line: 21-period EMA
Helps visually spot strong trends and avoid false signals in sideways markets.
JACK'S TREND BANDAbove Red, Long
Below Blue, Short
Bottom Blue turn to Red, Long
Top Red turn to Blue, Short
Bull Bear Triple Change + Supply Demand Integration Version V5.3This script and indicator do not constitute any financial advice. Traders are fully responsible for their own trading decisions, and the script developer assumes no responsibility for any profits or losses resulting from the use of this script. Please use with caution and trade rationally. Fans of Baogongtou are welcome to learn and exchange ideas together. QQ group: 908431251
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.
CCI Return Ichimogiu FXUtiliser sur le graphique
1
35
Return IchimoGiu
Trend Reversal
Customized CCI across multiple levels, dedicated to market volatility and strong, sharp movements
Successfully detects reversals with the utmost precision
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.
