Day Range Breakout Strategy + Trend Structure Filter🚀 Enhanced Strategy for Breaking Previous Day’s Extremes with Market Structure-Based Trend
The strategy focuses on breakouts of previous day’s highs and lows, filtered by trend direction based on market structure.
🔑 Key Improvements
1️⃣ Solved the repainting issue.
There are similar strategies in the community, but the historical results of those algorithms do not correspond to the results of real backtesting.
2️⃣ Added a trend filter.
In most cases, this makes it possible to achieve higher profitability. It works as follows:
The script determines market structure based on a defined number of previous candles.
If there are higher highs and higher lows, this is considered an uptrend structure.
If there are lower highs and lower lows, this is considered a downtrend structure.
The trend filter is adjusted using the Lookback Period setting.
3️⃣ Choice of entry principle.
Implemented the ability to choose whether trades are opened based on closing prices or by high/low breakout, which allows finding the optimal settings for a specific instrument.
4️⃣ Improved entry/exit logic.
When an opposite signal appears, before entering a trade, the script first closes the previous position.
✅ This makes the strategy fully ready for algorithmic trading via webhook on any exchange that supports this function.
5️⃣ Better visualization.
🟥 Red and 🟩 green backgrounds indicate the trend direction.
⚙️ How It Works
The principle of the strategy as follows:
Wait for the breakout of the previous day’s high or low.
Enter long on a breakout of the high, or short on a breakout of the low in the market structure trend direction.
Exit occurs on the breakout of the opposite extreme.
📈 This allows capturing long trends.
⚠️ But, like all similar strategies, in a sideways market it produces losing trades.
⚙️ Default Settings
Breakout Confirmation:
The breakout is determined by the candle close.
You can also choose high/low, but this often gives more false signals. However, on some assets, it may show higher profitability in backtesting.
Trend Structure Period:
The default value is 15.
This means the script analyzes the last 15 candles on the selected timeframe to determine market structure as described above.
Position Size:
Fixed at $1,000, which is 1% of the initial capital of $100,000 to keep risks under control.
Commission:
Set to 0.1%, which is sufficient for most cryptocurrency exchanges.
Slippage:
Configured at 1 tick.
Funding Note:
Keep in mind that funding is not included in this strategy.
It’s impossible to predict whether it will be positive or negative, and it can vary significantly across exchanges, so it is not part of the default settings.
🕒 Recommended Settings
Timeframe: 1H and higher
On lower timeframes → significant discrepancies may occur between historical and real backtesting data.
On higher timeframes → minor differences are possible, related to slippage, sharp moves, and other unpredictable situations.
⚠️ Important Notes
Always remember: Strategy results may not repeat in the future.
The market constantly changes, so:
✅ Monitor the situation
✅ Backtest regularly
✅ Adjust settings for each asset
Also remember about possible bugs in any algorithmic trading strategy.
Even if a script is well-tested, no one knows what unpredictable events the market may bring tomorrow.
⚠️ Risk Management:
Do not risk more than 1% of your deposit per trade, otherwise you may lose your account balance, since this strategy works without stop losses.
⚠️ Disclaimer
The author of the strategy does not encourage anyone to use this algorithm and bears no responsibility for any possible financial losses resulting from its application!
Any decision to use this strategy is made personally by the owners of TradingView accounts and cryptocurrency exchange accounts.
📝 Final Notes
This is not the final version. I already have ideas on how to improve it further, so follow me to not miss updates.
🐞 Bug Reports
If you notice any bugs or inconsistencies in my algorithm,
please let me know — I will try to fix them as quickly as possible.
💬 Feedback & Suggestions
If you have any ideas on how this or any of my other strategies can be improved, feel free to write to me. I will try to implement your suggestions in the script.
Wishing everyone good luck and stable profits! 🚀💰
Algotrading
BE-Volume Footprint & Pressure Candles█ Overview:
BE-Volume Footprint & Pressure Candles, is an indicator which is preliminarily designed to analyze the supply and demand patterns based on Rally Base Rally (RBR), Drop Base Drop (DBD), Drop Base Rally (DBR) & Rally Base Drop (RBD) concepts in conjunction to volume pressure. Understanding these concepts are crucial. Let's break down why the "Base" is you Best friend in this context.
Commonness in RBR, DBD, DBR, RBD patterns ?
There is an impulse price movement at first, be it rally (price moving up) or the Drop (price moving down), followed by a period of consolidation which is referred as "BASE" and later with another impulse move of price (Rally or Drop).
Why is the Base Important
1. Market Balance: Base represents a balance between buyers and sellers. This is where decisions are made.
2. Confirmation: It confirms the strength of previous impulse move which has happened.
Base & the Liquidity Play:
Supply & Demand Zone predict the presence of all large orders within the limits of the Base Zone. Price is expected to return to the zone to fill the unfilled orders placed by large players.
For the price to move in the intended direction Liquidity plays the major role. hence indicator aims to help traders in identifying those zones where liquidity exists and the volume pressure helps in confirming that liquidity is making its play.
Bottom pane in the below snapshots is a visual representation of Buyers volume pressure (Green Line & the Green filled area) making the price move upwards vs Sellers volume pressure (Red Line & the Red filled area) making the price move downwards.
Top pane in the below snapshots is a visual representation on the pattern identification (Blue marked zone & the Blue line referred as Liquidity level)
Bullish Pressure On Buy Liquidity:
Bearish Pressure On Sell Liquidity:
█ How It Works:
1. Indicator computes technical & mathematical operations such as ATR, delta of Highs & Lows of the candle and Candle ranges to identify the patterns and marks the liquidity lines accordingly.
2. Indicator then waits for price to return to the liquidity levels and checks if Directional volume pressure to flow-in while the prices hover near the Liquidity zones.
3. Once the Volume pressure is evident, loop in to the ride.
█ When It wont Work:
When there no sufficient Liquidity or sustained Opposite volume pressure, trades are expected to fail.
█ Limitations:
Works only on the scripts which has volume info. Relays on LTF candles to determine intra-bar volumes. Hence, Use on TF greater than 1 min and lesser than 15 min.
█ Indicator Features:
1. StrictEntries: employs' tighter rules (rather most significant setups) on the directional volume pressure applied for the price to move. If unchecked, liberal rules applied on the directional volume pressure leading to more setups being identified.
2. Setup Confirmation period: Indicates Waiting period to analyze the directional volume pressure. Early (lesser wait period) is Risky and Late (longer wait period) is too late for the
ride. Find the quant based on the accuracy of the setup provided in the bottom right table.
3. Algo Enabled with Place Holders:
Indicator is equipped with algo alerts, supported with necessary placeholders to trade any instrument like stock, options etc.
Accepted PlaceHolders (Case Sensitive!!)
1. {{ticker}}-->InstrumentName
2. {{datetime}}-->Date & Time Of Order Placement
3. {{close}}-->LTP Price of Script
4. {{TD}}-->Current Level:
Note: Negative Numbers for Short Setup
5. {{EN}} {{SL}} {{TGT}} {{T1}} {{T2}} --> Trade Levels
6. {{Qty}} {{Qty*x}} --> Qty -> Trade Qty mapped in Settings. Replace x with actual number of your choice for the multiplier
7. {{BS}}-->Based on the Direction of Trade Output shall be with B or S (B == Long Trade & S == Short Trade)
8. {{BUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == Long Trade & SELL == Short Trade)
9. {{IBUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == SHORT Trade & SELL == LONG Trade)
Dynamic Alerts:
10. { {100R0} }-->Dynamic Place Holder 100 Refers to Strike Difference and Zero refers to ATM
11. { {100R-1} }-->Dynamic Place Holder 100 Refers to Strike Difference and -1 refers to
ATM - 100 strike
12. { {50R2} }-->Dynamic Place Holder 50 Refers to Strike Difference and 2 refers to
ATM + (2 * 50 = 100) strike
13. { {"ddMMyy", 0} }-->Dynamically Picks today date in the specified format.
14. { {"ddMMyy", n} }-->replace n with actual number of your choice to Pick date post today date in the specified format.
15. { {"ddMMyy", "MON"} }-->dynamically pick Monday date (coming Monday, if today is not Monday)
Note. for the 2nd Param-->you can choose to specify either Number OR any letter from =>
16. {{CEPE}} {{ICEPE}} {{CP}} {{ICP}} -> Dynamic Option Side CE or C refers to Calls and PE or P refers to Puts. If "I" is used in PlaceHolder text, On long entries PUTs shall be used
Indicator is equipped with customizable Trade & Risk management settings like multiple Take profit levels, Trailing SL.
Signalgo Strategy ISignalgo Strategy I: Technical Overview
Signalgo Strategy I is a systematically engineered TradingView strategy script designed to automate, test, and manage trend-following trades using multi-timeframe price/volume logic, volatility-based targets, and multi-layered exit management. This summary covers its operational structure, user inputs, entry and exit methodology, unique technical features, and practical application.
Core Logic and Workflow
Multi-Timeframe Data Synthesis
User-Defined Timeframe: The user chooses a timeframe (e.g., 1H, 4H, 1D, etc.), on which all strategy signals are based.
Cross-Timeframe Inputs: The strategy imports closing price, volume, and Average True Range (ATR) for the selected interval, independently from the chart’s native timeframe, enabling robust multi-timeframe analysis.
Price Change & Volume Ratio: It calculates the percent change of price per bar and computes a volume ratio by comparing current volume to its 20-bar moving average—enabling detection of true “event” moves vs. normal market noise.
Hype Filtering
Anti-Hype Mechanism: An entry is automatically filtered out if abnormal high volume occurs without corresponding price movement, commonly observed during manipulation or announcement periods. This helps isolate genuine market-driven momentum.
User Inputs
Select Timeframe: Choose which interval drives signal generation.
Backtest Start Date: Specify from which date historical signals are included in the strategy (for precise backtests).
Take-Profit/Stop-Loss Configuration: Internally, risk levels are set as multiples of ATR and allow for three discrete profit targets.
Entry Logic
Trade Signal Criteria:
Price change magnitude in the current bar must exceed a fixed sensitivity threshold.
Volume for the bar must be significantly elevated compared to average, indicating meaningful participation.
Anti-hype check must not be triggered.
Bullish/Bearish Determination: If all conditions are met and price change direction is positive, a long signal triggers. If negative, a short signal triggers.
Signal Debouncing: Ensures a signal triggers only when a new condition emerges, avoiding duplicate entries on flat or choppy bars.
State Management: The script tracks whether an active long or short is open to avoid overlapping entries and to facilitate clean reversals.
Exit Strategy
Take-Profits: Three distinct profit targets (TP1, TP2, TP3) are calculated as fixed multiples of the ATR-based stop loss, adapting dynamically to volatility.
Reversals: If a buy signal appears while a short is open (or vice versa), the existing trade is closed and reversed in a single step.
Time-Based Exit: If, 49 bars after entry, the trade is in-profit but hasn’t reached TP1, it exits to avoid stagnation risk.
Adverse Move Exit: The position is force-closed if it suffers a 10% reversal from entry, acting as a catastrophic stop.
Visual Feedback: Each TP/SL/exit is plotted as a clear, color-coded line on the chart; no hidden logic is used.
Alerts: Built-in TradingView alert conditions allow automated notification for both entries and strategic exits.
Distinguishing Features vs. Traditional MA Strategies
Event-Based, Not Just Slope-Based: While classic moving average strategies enter trades on MA crossovers or slope changes, Signalgo Strategy I demands high-magnitude price and volume confirmation on the chosen timeframe.
Volume Filtering: Very few MA strategies independently filter for meaningful volume spikes.
Real Market Event Focus: The anti-hype filter differentiates organic market trends from manipulated “high-volume, no-move” sessions.
Three-Layer Exit Logic: Instead of a single trailing stop or fixed RR, this script manages three profit targets, time-based closures, and hard adverse thresholds.
Multi-Timeframe, Not Chart-Dependent: The “main” analytical interval can be set independently from the current chart, allowing for in-depth cross-timeframe backtests and system runs.
Reversal Handling: Automatic handling of signal reversals closes and flips positions precisely, reducing slippage and manual error.
Persistent State Tracking: Maintains variables tracking entry price, trade status, and target/stop levels independently of chart context.
Trading Application
Strategy Sandbox: Designed for robust backtesting, allowing users to simulate performance across historical data for any major asset or interval.
Active Risk Management: Trades are consistently managed for both fixed interval “stall” and significant loss, not just via trailing stops or fixed-day closes.
Alert Driven: Can power algorithmic trading bots or notify discretionary traders the moment a qualifying market event occurs.
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets.
🎯 How It Works:
The strategy defines a trading range at the beginning of the trading session based on a selected number of candles.
It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close.
It filters signals using the SuperTrend indicator for trend confirmation.
It utilizes trading volume to filter out false breakouts.
⚡ Strategy Features
📈 Entry Points:
Long: Candle close above the upper range boundary + SuperTrend confirmation
Short: Candle close below the lower range boundary + SuperTrend confirmation
🛡️ Risk Management:
Stop-Loss: Set at the opposite range boundary.
Take-Profit: Calculated based on a risk/reward ratio (3:1 by default).
Position Size: 10 contracts (configurable).
⚠️ IMPORTANT SETTINGS
🕐 Time Parameters:
Set the correct time and time zone!
❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session.
📊 This strategy is optimized for trading TESLA stock!
Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session.
📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant.
⚠️ For other assets, the following is required:
Testing and parameter optimization
Adjustment of time intervals and the number of candles forming the range
Calibration of stop-loss and take-profit levels
⚠️ Limitations and Drawbacks
🔗 Automation Constraints:
❌ Cannot be directly connected via Webhook to CFD brokers!
Additional IT solutions are required for automation, thus only manual trading based on signals is possible.
📉 Risk Management:
Do not risk more than 2-3% of your account per trade.
Test on historical data before live use.
Start with a demo account.
💪 Strategy Advantages
✅ Combined approach – multiple signal filters
✅ Clear entry and exit rules
✅ Visual signals on the chart
✅ Volume-based false breakout filtering
✅ Automatic position management
🎯 Usage Recommendations
Always test the strategy on historical data.
Start with small trading volumes.
Ensure time settings are correct.
Adapt parameters to current market volatility.
Use only for stocks – futures and Forex require adaptation.
📚 Suitable Timeframes - M1-M15
Only highly liquid stocks
🍀 I wish all subscribers good luck in trading and steady profits!
📈 May your charts move in the right direction!
⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept
This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability.
📊 How the Strategy Works
Main Mechanism
The strategy builds 4 moving averages:
Two senior MAs (on high and low) with a longer period
Two junior MAs (on high and low) with a shorter period
Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs
Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows
As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future.
Special Feature
Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one
⚙️ Indicator Settings
Available Moving Average Types
EMA - Exponential MA
SMA - Simple MA
SSMA - Smoothed MA
WMA - Weighted MA
VWMA - Volume Weighted MA
RMA - Adaptive MA
DEMA - Double EMA
TEMA - Triple EMA
Adjustable Parameters
Senior MA Length - period for long-term moving averages
Junior MA Length - period for short-term moving averages
✅ Advantages of the Strategy
🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries
🔄 Configuration Flexibility - ability to choose MA type and calculation periods
⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal
📈 Visual Clarity - all MAs are displayed on the chart in different colors
⚠️ Disadvantages and Risks
📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements
🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings
📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes
💡 Usage Recommendations
Backtest - test the strategy's performance on historical data
Optimize Parameters - select MA periods suitable for the specific trading instrument
Use Filters - add additional filters to confirm signals
Manage Risks - always use stop-loss and take-profit orders.
You can safely connect to the exchange via webhook and enjoy trading.
Good luck and profits to everyone!!
Script_Algo - Fibo Correction Strategy🔹 Core Concept
The strategy is built on combining Fibonacci retracement levels, candlestick pattern confirmation, and trend filtering for trade selection. It performs well on the 1-hour timeframe across many cryptocurrency pairs. Particularly on LINKUSDT over the past year and a half, despite the not very optimal 1:1 risk/reward ratio.
The logic is simple: after a strong impulse move, the price often retraces to key Fibonacci levels (specifically, the 61.8% level). If a confirming candlestick (pattern) appears at this moment, the strategy looks for an entry in the direction of the main trend.
🔹 Indicators Used in the Strategy
ATR (Average True Range) — Used to calculate the stop-loss and take-profit levels.
EMA (9 and 21) — Additional moving averages for assessing the direction of movement (not directly used in entry conditions, but the logic can be expanded to include them).
SMA (Trend Filter, 20 by default) — The trend direction filter. Trades are only opened in its direction.
Fibonacci Levels — The 61.8% retracement level is calculated based on the high and low of the previous candle.
🔹 Entry Conditions
🟢 Long (Buy):
Previous Candle:
Must be green (close higher than open).
Must have a body not smaller than a specified minimum.
The upper wick must not exceed 30% of the body size.
→ This filters out "weak" or "indecisive" candles.
Current Candle:
Price touches or breaches the Fibonacci 61.8% retracement level from the previous range.
Closes above this level.
Closes above the Trend Filter (SMA) line.
A position is opened only if there are no other open trades at the moment.
🔴 Short (Sell):
Previous Candle:
Must be red (close lower than open).
Must have a body not smaller than a specified minimum.
The lower wick must not exceed 30% of the body size.
Current Candle:
Price touches or breaches the Fibonacci 61.8% retracement level from the previous range.
Closes below this level.
Closes below the Trend Filter (SMA) line.
A trade is opened only if there are no other open positions.
🔹 Risk Management
Stop-Loss = ATR × multiplier (default is 5).
Take-Profit = ATR × the same multiplier.
Thus, the default risk/reward ratio is 1:1, but it can be easily adjusted by changing the coefficient. Although, strangely enough, this ratio has shown the best results on some assets on the 1-hour timeframe.
🔹 Chart Visualization
Fibonacci level for Long — Green line with circles.
Fibonacci level for Short — Red line with circles.
Trend Filter line (SMA) — Blue.
🔹 Strengths of the Strategy
✅ Utilizes a proven market pattern — retracement to the 61.8% level.
✅ Further filters entries using trend and candlestick patterns.
✅ Simple, transparent logic that is easy to expand (e.g., adding other Fib levels, an EMA filter, etc.).
🔹 Limitations
⚠️ Performs better in trending markets; can generate false signals during ranging (sideways) conditions.
⚠️ The fixed 1:1 risk/reward ratio is not always optimal and could be refined.
⚠️ Performance depends on the selected timeframe and ATR parameters.
📌 Summary:
The strategy seeks corrective entries in the direction of the trend, confirmed by candlestick patterns. It is versatile and can be applied to forex pairs, cryptocurrencies, and stocks.
⚠️ Not financial advice. Pay close attention to risk management to avoid blowing your account. The strategy is not repainting — I have personally verified it through real testing — but it may not necessarily replicate the same results in the future, as the market is constantly changing. Test it, profit, and good luck to everyone!
TrendMaster Pro with Dynamic ATROverview
TrendMaster Pro with Dynamic ATR is a comprehensive trend-following indicator designed for traders seeking to identify entry and exit points in trending markets while incorporating volatility-based risk management. Built on a multi-timeframe Exponential Moving Average (EMA) system, it combines short-term momentum signals with long-term trend filters, enhanced by a Volatility-Adjusted Moving Average (VMA) for confirmation and Average True Range (ATR) for adaptive stop-loss and take-profit levels.
This indicator overlays directly on your chart, providing visual cues for buy/sell signals, dynamic stops/targets, and optional EMA lines. It's ideal for swing trading, day trading, or scalping across various assets like stocks, forex, cryptocurrencies, and commodities. The system emphasizes trend alignment to reduce false signals, with customizable options for trailing mechanisms and filters to suit different market conditions.
Key benefits:
Multi-Timeframe Analysis: Incorporates higher timeframe EMAs for robust trend detection without needing to switch charts.
Volatility Adaptation: Uses ATR for dynamic positioning of stops and targets, helping manage risk in volatile environments.
Flexible Customization: Toggles for displaying EMAs, using trailing stops/targets, and applying VMA filters for entries/exits.
Alert Integration: Built-in alerts for entries, exits, stop breaches, and target hits to automate notifications.
Core Components
The indicator revolves around four EMAs, a VMA, and ATR calculations:
Exponential Moving Averages (EMAs):
Fast EMA (Default: 12 periods): Captures short-term momentum and quick price changes.
Slow EMA (Default: 27 periods): Identifies medium-term trends, providing a smoother view than the Fast EMA.
Stop EMA (Default: 48 periods on 15-minute timeframe): Acts as dynamic support/resistance for risk management and exit signals.
Trend EMA (Default: 288 periods on 5-minute timeframe): Serves as a long-term trend filter to ensure trades align with the overall market direction.
Volatility-Adjusted Moving Average (VMA):
A dynamic moving average that adjusts its sensitivity based on market volatility (using a Directional Movement Index-inspired calculation).
Length: Default 6 periods.
Colored green (uptrend), red (downtrend), or blue (neutral/sideways).
Optionally filters entries and exits to confirm trend direction.
Average True Range (ATR):
Measures volatility over a specified period (Default: 14).
Used to set adaptive stop-loss and take-profit levels.
Multipliers allow customization: Stop (Default: 1.5x ATR), Fixed Target (Default: 3.0x ATR), Trailing Target (Default: 2.0x ATR).
Supports trailing options for stops (based on highest/lowest since entry) and targets (ratcheting with price movement).
Signal Generation
Entry Signals
Buy (Long) Signal: Triggered when the price is above the Trend EMA (bullish alignment) and one of the following occurs:
Price crosses above the Trend EMA.
Price crosses above the Fast EMA, with Fast EMA > Slow EMA > Trend EMA.
Price crosses above the Slow EMA, with Fast EMA > Slow EMA > Trend EMA.
Filtered optionally by VMA being green (uptrend confirmation).
Visual: Green "BUY" label below the bar.
Sell (Short) Signal: Triggered when the price is below the Trend EMA (bearish alignment) and one of the following occurs:
Price crosses below the Trend EMA.
Price crosses below the Fast EMA, with Fast EMA < Slow EMA < Trend EMA.
Price crosses below the Slow EMA, with Fast EMA < Slow EMA < Trend EMA.
Filtered optionally by VMA being red (downtrend confirmation).
Visual: Red "SELL" label above the bar.
Exit Signals
Exit Long: Occurs when the position is active and:
Price crosses below the Stop EMA, or
Price hits the ATR stop-loss (fixed or trailing), or
Price reaches the ATR take-profit (fixed or trailing).
Filtered optionally by VMA > Stop EMA and VMA red (downtrend shift).
Visual: Green "E" label (exit) or "TP" label (if target hit).
Exit Short: Occurs when the position is active and:
Price crosses above the Stop EMA, or
Price hits the ATR stop-loss (fixed or trailing), or
Price reaches the ATR take-profit (fixed or trailing).
Filtered optionally by VMA < Stop EMA and VMA green (uptrend shift).
Visual: Red "E" label (exit) or "TP" label (if target hit).
The indicator tracks only one active position at a time (long or short), resetting on exit. Trailing stops update based on the highest high (long) or lowest low (short) since entry.
Visual Elements
How to Use ?
Setup: Add to your chart and adjust inputs based on your timeframe (e.g., shorter lengths for intraday, longer for swings).
Trading Strategy:
Enter on "BUY" or "SELL" labels when aligned with your broader analysis.
Monitor ATR lines for risk/reward: Aim for targets at least 2x stop distance.
Use trailing options in trending markets to lock in profits; fixed in ranging ones.
Combine with volume or other indicators for confirmation.
Risk Management: Always respect ATR stops to limit losses. Position size based on stop distance (e.g., 1-2% account risk).
Backtesting: Test on historical data to optimize parameters for your asset.
Alerts: Set up notifications for signals via TradingView's alert system. Examples:
"BUY signal triggered"
"EXIT long trade"
"Long ATR target reached on close"
Notes and Limitations
This is not financial advice; use at your own risk and combine with personal analysis.
Performance varies by market conditions—best in trending environments; may whipsaw in sideways markets.
Multi-timeframe requests may cause slight repainting on live charts due to higher TF data.
No repainting on closed bars, but ensure your chart timeframe is compatible with input TFs.
Licensed under Mozilla Public License 2.0. For questions or feedback, contact @MudraMiner.
This indicator empowers traders with a balanced, adaptive system—happy trading! 🚀
Markov Chain [3D] | FractalystWhat exactly is a Markov Chain?
This indicator uses a Markov Chain model to analyze, quantify, and visualize the transitions between market regimes (Bull, Bear, Neutral) on your chart. It dynamically detects these regimes in real-time, calculates transition probabilities, and displays them as animated 3D spheres and arrows, giving traders intuitive insight into current and future market conditions.
How does a Markov Chain work, and how should I read this spheres-and-arrows diagram?
Think of three weather modes: Sunny, Rainy, Cloudy.
Each sphere is one mode. The loop on a sphere means “stay the same next step” (e.g., Sunny again tomorrow).
The arrows leaving a sphere show where things usually go next if they change (e.g., Sunny moving to Cloudy).
Some paths matter more than others. A more prominent loop means the current mode tends to persist. A more prominent outgoing arrow means a change to that destination is the usual next step.
Direction isn’t symmetric: moving Sunny→Cloudy can behave differently than Cloudy→Sunny.
Now relabel the spheres to markets: Bull, Bear, Neutral.
Spheres: market regimes (uptrend, downtrend, range).
Self‑loop: tendency for the current regime to continue on the next bar.
Arrows: the most common next regime if a switch happens.
How to read: Start at the sphere that matches current bar state. If the loop stands out, expect continuation. If one outgoing path stands out, that switch is the typical next step. Opposite directions can differ (Bear→Neutral doesn’t have to match Neutral→Bear).
What states and transitions are shown?
The three market states visualized are:
Bullish (Bull): Upward or strong-market regime.
Bearish (Bear): Downward or weak-market regime.
Neutral: Sideways or range-bound regime.
Bidirectional animated arrows and probability labels show how likely the market is to move from one regime to another (e.g., Bull → Bear or Neutral → Bull).
How does the regime detection system work?
You can use either built-in price returns (based on adaptive Z-score normalization) or supply three custom indicators (such as volume, oscillators, etc.).
Values are statistically normalized (Z-scored) over a configurable lookback period.
The normalized outputs are classified into Bull, Bear, or Neutral zones.
If using three indicators, their regime signals are averaged and smoothed for robustness.
How are transition probabilities calculated?
On every confirmed bar, the algorithm tracks the sequence of detected market states, then builds a rolling window of transitions.
The code maintains a transition count matrix for all regime pairs (e.g., Bull → Bear).
Transition probabilities are extracted for each possible state change using Laplace smoothing for numerical stability, and frequently updated in real-time.
What is unique about the visualization?
3D animated spheres represent each regime and change visually when active.
Animated, bidirectional arrows reveal transition probabilities and allow you to see both dominant and less likely regime flows.
Particles (moving dots) animate along the arrows, enhancing the perception of regime flow direction and speed.
All elements dynamically update with each new price bar, providing a live market map in an intuitive, engaging format.
Can I use custom indicators for regime classification?
Yes! Enable the "Custom Indicators" switch and select any three chart series as inputs. These will be normalized and combined (each with equal weight), broadening the regime classification beyond just price-based movement.
What does the “Lookback Period” control?
Lookback Period (default: 100) sets how much historical data builds the probability matrix. Shorter periods adapt faster to regime changes but may be noisier. Longer periods are more stable but slower to adapt.
How is this different from a Hidden Markov Model (HMM)?
It sets the window for both regime detection and probability calculations. Lower values make the system more reactive, but potentially noisier. Higher values smooth estimates and make the system more robust.
How is this Markov Chain different from a Hidden Markov Model (HMM)?
Markov Chain (as here): All market regimes (Bull, Bear, Neutral) are directly observable on the chart. The transition matrix is built from actual detected regimes, keeping the model simple and interpretable.
Hidden Markov Model: The actual regimes are unobservable ("hidden") and must be inferred from market output or indicator "emissions" using statistical learning algorithms. HMMs are more complex, can capture more subtle structure, but are harder to visualize and require additional machine learning steps for training.
A standard Markov Chain models transitions between observable states using a simple transition matrix, while a Hidden Markov Model assumes the true states are hidden (latent) and must be inferred from observable “emissions” like price or volume data. In practical terms, a Markov Chain is transparent and easier to implement and interpret; an HMM is more expressive but requires statistical inference to estimate hidden states from data.
Markov Chain: states are observable; you directly count or estimate transition probabilities between visible states. This makes it simpler, faster, and easier to validate and tune.
HMM: states are hidden; you only observe emissions generated by those latent states. Learning involves machine learning/statistical algorithms (commonly Baum–Welch/EM for training and Viterbi for decoding) to infer both the transition dynamics and the most likely hidden state sequence from data.
How does the indicator avoid “repainting” or look-ahead bias?
All regime changes and matrix updates happen only on confirmed (closed) bars, so no future data is leaked, ensuring reliable real-time operation.
Are there practical tuning tips?
Tune the Lookback Period for your asset/timeframe: shorter for fast markets, longer for stability.
Use custom indicators if your asset has unique regime drivers.
Watch for rapid changes in transition probabilities as early warning of a possible regime shift.
Who is this indicator for?
Quants and quantitative researchers exploring probabilistic market modeling, especially those interested in regime-switching dynamics and Markov models.
Programmers and system developers who need a probabilistic regime filter for systematic and algorithmic backtesting:
The Markov Chain indicator is ideally suited for programmatic integration via its bias output (1 = Bull, 0 = Neutral, -1 = Bear).
Although the visualization is engaging, the core output is designed for automated, rules-based workflows—not for discretionary/manual trading decisions.
Developers can connect the indicator’s output directly to their Pine Script logic (using input.source()), allowing rapid and robust backtesting of regime-based strategies.
It acts as a plug-and-play regime filter: simply plug the bias output into your entry/exit logic, and you have a scientifically robust, probabilistically-derived signal for filtering, timing, position sizing, or risk regimes.
The MC's output is intentionally "trinary" (1/0/-1), focusing on clear regime states for unambiguous decision-making in code. If you require nuanced, multi-probability or soft-label state vectors, consider expanding the indicator or stacking it with a probability-weighted logic layer in your scripting.
Because it avoids subjectivity, this approach is optimal for systematic quants, algo developers building backtested, repeatable strategies based on probabilistic regime analysis.
What's the mathematical foundation behind this?
The mathematical foundation behind this Markov Chain indicator—and probabilistic regime detection in finance—draws from two principal models: the (standard) Markov Chain and the Hidden Markov Model (HMM).
How to use this indicator programmatically?
The Markov Chain indicator automatically exports a bias value (+1 for Bullish, -1 for Bearish, 0 for Neutral) as a plot visible in the Data Window. This allows you to integrate its regime signal into your own scripts and strategies for backtesting, automation, or live trading.
Step-by-Step Integration with Pine Script (input.source)
Add the Markov Chain indicator to your chart.
This must be done first, since your custom script will "pull" the bias signal from the indicator's plot.
In your strategy, create an input using input.source()
Example:
//@version=5
strategy("MC Bias Strategy Example")
mcBias = input.source(close, "MC Bias Source")
After saving, go to your script’s settings. For the “MC Bias Source” input, select the plot/output of the Markov Chain indicator (typically its bias plot).
Use the bias in your trading logic
Example (long only on Bull, flat otherwise):
if mcBias == 1
strategy.entry("Long", strategy.long)
else
strategy.close("Long")
For more advanced workflows, combine mcBias with additional filters or trailing stops.
How does this work behind-the-scenes?
TradingView’s input.source() lets you use any plot from another indicator as a real-time, “live” data feed in your own script (source).
The selected bias signal is available to your Pine code as a variable, enabling logical decisions based on regime (trend-following, mean-reversion, etc.).
This enables powerful strategy modularity : decouple regime detection from entry/exit logic, allowing fast experimentation without rewriting core signal code.
Integrating 45+ Indicators with Your Markov Chain — How & Why
The Enhanced Custom Indicators Export script exports a massive suite of over 45 technical indicators—ranging from classic momentum (RSI, MACD, Stochastic, etc.) to trend, volume, volatility, and oscillator tools—all pre-calculated, centered/scaled, and available as plots.
// Enhanced Custom Indicators Export - 45 Technical Indicators
// Comprehensive technical analysis suite for advanced market regime detection
//@version=6
indicator('Enhanced Custom Indicators Export | Fractalyst', shorttitle='Enhanced CI Export', overlay=false, scale=scale.right, max_labels_count=500, max_lines_count=500)
// |----- Input Parameters -----| //
momentum_group = "Momentum Indicators"
trend_group = "Trend Indicators"
volume_group = "Volume Indicators"
volatility_group = "Volatility Indicators"
oscillator_group = "Oscillator Indicators"
display_group = "Display Settings"
// Common lengths
length_14 = input.int(14, "Standard Length (14)", minval=1, maxval=100, group=momentum_group)
length_20 = input.int(20, "Medium Length (20)", minval=1, maxval=200, group=trend_group)
length_50 = input.int(50, "Long Length (50)", minval=1, maxval=200, group=trend_group)
// Display options
show_table = input.bool(true, "Show Values Table", group=display_group)
table_size = input.string("Small", "Table Size", options= , group=display_group)
// |----- MOMENTUM INDICATORS (15 indicators) -----| //
// 1. RSI (Relative Strength Index)
rsi_14 = ta.rsi(close, length_14)
rsi_centered = rsi_14 - 50
// 2. Stochastic Oscillator
stoch_k = ta.stoch(close, high, low, length_14)
stoch_d = ta.sma(stoch_k, 3)
stoch_centered = stoch_k - 50
// 3. Williams %R
williams_r = ta.stoch(close, high, low, length_14) - 100
// 4. MACD (Moving Average Convergence Divergence)
= ta.macd(close, 12, 26, 9)
// 5. Momentum (Rate of Change)
momentum = ta.mom(close, length_14)
momentum_pct = (momentum / close ) * 100
// 6. Rate of Change (ROC)
roc = ta.roc(close, length_14)
// 7. Commodity Channel Index (CCI)
cci = ta.cci(close, length_20)
// 8. Money Flow Index (MFI)
mfi = ta.mfi(close, length_14)
mfi_centered = mfi - 50
// 9. Awesome Oscillator (AO)
ao = ta.sma(hl2, 5) - ta.sma(hl2, 34)
// 10. Accelerator Oscillator (AC)
ac = ao - ta.sma(ao, 5)
// 11. Chande Momentum Oscillator (CMO)
cmo = ta.cmo(close, length_14)
// 12. Detrended Price Oscillator (DPO)
dpo = close - ta.sma(close, length_20)
// 13. Price Oscillator (PPO)
ppo = ta.sma(close, 12) - ta.sma(close, 26)
ppo_pct = (ppo / ta.sma(close, 26)) * 100
// 14. TRIX
trix_ema1 = ta.ema(close, length_14)
trix_ema2 = ta.ema(trix_ema1, length_14)
trix_ema3 = ta.ema(trix_ema2, length_14)
trix = ta.roc(trix_ema3, 1) * 10000
// 15. Klinger Oscillator
klinger = ta.ema(volume * (high + low + close) / 3, 34) - ta.ema(volume * (high + low + close) / 3, 55)
// 16. Fisher Transform
fisher_hl2 = 0.5 * (hl2 - ta.lowest(hl2, 10)) / (ta.highest(hl2, 10) - ta.lowest(hl2, 10)) - 0.25
fisher = 0.5 * math.log((1 + fisher_hl2) / (1 - fisher_hl2))
// 17. Stochastic RSI
stoch_rsi = ta.stoch(rsi_14, rsi_14, rsi_14, length_14)
stoch_rsi_centered = stoch_rsi - 50
// 18. Relative Vigor Index (RVI)
rvi_num = ta.swma(close - open)
rvi_den = ta.swma(high - low)
rvi = rvi_den != 0 ? rvi_num / rvi_den : 0
// 19. Balance of Power (BOP)
bop = (close - open) / (high - low)
// |----- TREND INDICATORS (10 indicators) -----| //
// 20. Simple Moving Average Momentum
sma_20 = ta.sma(close, length_20)
sma_momentum = ((close - sma_20) / sma_20) * 100
// 21. Exponential Moving Average Momentum
ema_20 = ta.ema(close, length_20)
ema_momentum = ((close - ema_20) / ema_20) * 100
// 22. Parabolic SAR
sar = ta.sar(0.02, 0.02, 0.2)
sar_trend = close > sar ? 1 : -1
// 23. Linear Regression Slope
lr_slope = ta.linreg(close, length_20, 0) - ta.linreg(close, length_20, 1)
// 24. Moving Average Convergence (MAC)
mac = ta.sma(close, 10) - ta.sma(close, 30)
// 25. Trend Intensity Index (TII)
tii_sum = 0.0
for i = 1 to length_20
tii_sum += close > close ? 1 : 0
tii = (tii_sum / length_20) * 100
// 26. Ichimoku Cloud Components
ichimoku_tenkan = (ta.highest(high, 9) + ta.lowest(low, 9)) / 2
ichimoku_kijun = (ta.highest(high, 26) + ta.lowest(low, 26)) / 2
ichimoku_signal = ichimoku_tenkan > ichimoku_kijun ? 1 : -1
// 27. MESA Adaptive Moving Average (MAMA)
mama_alpha = 2.0 / (length_20 + 1)
mama = ta.ema(close, length_20)
mama_momentum = ((close - mama) / mama) * 100
// 28. Zero Lag Exponential Moving Average (ZLEMA)
zlema_lag = math.round((length_20 - 1) / 2)
zlema_data = close + (close - close )
zlema = ta.ema(zlema_data, length_20)
zlema_momentum = ((close - zlema) / zlema) * 100
// |----- VOLUME INDICATORS (6 indicators) -----| //
// 29. On-Balance Volume (OBV)
obv = ta.obv
// 30. Volume Rate of Change (VROC)
vroc = ta.roc(volume, length_14)
// 31. Price Volume Trend (PVT)
pvt = ta.pvt
// 32. Negative Volume Index (NVI)
nvi = 0.0
nvi := volume < volume ? nvi + ((close - close ) / close ) * nvi : nvi
// 33. Positive Volume Index (PVI)
pvi = 0.0
pvi := volume > volume ? pvi + ((close - close ) / close ) * pvi : pvi
// 34. Volume Oscillator
vol_osc = ta.sma(volume, 5) - ta.sma(volume, 10)
// 35. Ease of Movement (EOM)
eom_distance = high - low
eom_box_height = volume / 1000000
eom = eom_box_height != 0 ? eom_distance / eom_box_height : 0
eom_sma = ta.sma(eom, length_14)
// 36. Force Index
force_index = volume * (close - close )
force_index_sma = ta.sma(force_index, length_14)
// |----- VOLATILITY INDICATORS (10 indicators) -----| //
// 37. Average True Range (ATR)
atr = ta.atr(length_14)
atr_pct = (atr / close) * 100
// 38. Bollinger Bands Position
bb_basis = ta.sma(close, length_20)
bb_dev = 2.0 * ta.stdev(close, length_20)
bb_upper = bb_basis + bb_dev
bb_lower = bb_basis - bb_dev
bb_position = bb_dev != 0 ? (close - bb_basis) / bb_dev : 0
bb_width = bb_dev != 0 ? (bb_upper - bb_lower) / bb_basis * 100 : 0
// 39. Keltner Channels Position
kc_basis = ta.ema(close, length_20)
kc_range = ta.ema(ta.tr, length_20)
kc_upper = kc_basis + (2.0 * kc_range)
kc_lower = kc_basis - (2.0 * kc_range)
kc_position = kc_range != 0 ? (close - kc_basis) / kc_range : 0
// 40. Donchian Channels Position
dc_upper = ta.highest(high, length_20)
dc_lower = ta.lowest(low, length_20)
dc_basis = (dc_upper + dc_lower) / 2
dc_position = (dc_upper - dc_lower) != 0 ? (close - dc_basis) / (dc_upper - dc_lower) : 0
// 41. Standard Deviation
std_dev = ta.stdev(close, length_20)
std_dev_pct = (std_dev / close) * 100
// 42. Relative Volatility Index (RVI)
rvi_up = ta.stdev(close > close ? close : 0, length_14)
rvi_down = ta.stdev(close < close ? close : 0, length_14)
rvi_total = rvi_up + rvi_down
rvi_volatility = rvi_total != 0 ? (rvi_up / rvi_total) * 100 : 50
// 43. Historical Volatility
hv_returns = math.log(close / close )
hv = ta.stdev(hv_returns, length_20) * math.sqrt(252) * 100
// 44. Garman-Klass Volatility
gk_vol = math.log(high/low) * math.log(high/low) - (2*math.log(2)-1) * math.log(close/open) * math.log(close/open)
gk_volatility = math.sqrt(ta.sma(gk_vol, length_20)) * 100
// 45. Parkinson Volatility
park_vol = math.log(high/low) * math.log(high/low)
parkinson = math.sqrt(ta.sma(park_vol, length_20) / (4 * math.log(2))) * 100
// 46. Rogers-Satchell Volatility
rs_vol = math.log(high/close) * math.log(high/open) + math.log(low/close) * math.log(low/open)
rogers_satchell = math.sqrt(ta.sma(rs_vol, length_20)) * 100
// |----- OSCILLATOR INDICATORS (5 indicators) -----| //
// 47. Elder Ray Index
elder_bull = high - ta.ema(close, 13)
elder_bear = low - ta.ema(close, 13)
elder_power = elder_bull + elder_bear
// 48. Schaff Trend Cycle (STC)
stc_macd = ta.ema(close, 23) - ta.ema(close, 50)
stc_k = ta.stoch(stc_macd, stc_macd, stc_macd, 10)
stc_d = ta.ema(stc_k, 3)
stc = ta.stoch(stc_d, stc_d, stc_d, 10)
// 49. Coppock Curve
coppock_roc1 = ta.roc(close, 14)
coppock_roc2 = ta.roc(close, 11)
coppock = ta.wma(coppock_roc1 + coppock_roc2, 10)
// 50. Know Sure Thing (KST)
kst_roc1 = ta.roc(close, 10)
kst_roc2 = ta.roc(close, 15)
kst_roc3 = ta.roc(close, 20)
kst_roc4 = ta.roc(close, 30)
kst = ta.sma(kst_roc1, 10) + 2*ta.sma(kst_roc2, 10) + 3*ta.sma(kst_roc3, 10) + 4*ta.sma(kst_roc4, 15)
// 51. Percentage Price Oscillator (PPO)
ppo_line = ((ta.ema(close, 12) - ta.ema(close, 26)) / ta.ema(close, 26)) * 100
ppo_signal = ta.ema(ppo_line, 9)
ppo_histogram = ppo_line - ppo_signal
// |----- PLOT MAIN INDICATORS -----| //
// Plot key momentum indicators
plot(rsi_centered, title="01_RSI_Centered", color=color.purple, linewidth=1)
plot(stoch_centered, title="02_Stoch_Centered", color=color.blue, linewidth=1)
plot(williams_r, title="03_Williams_R", color=color.red, linewidth=1)
plot(macd_histogram, title="04_MACD_Histogram", color=color.orange, linewidth=1)
plot(cci, title="05_CCI", color=color.green, linewidth=1)
// Plot trend indicators
plot(sma_momentum, title="06_SMA_Momentum", color=color.navy, linewidth=1)
plot(ema_momentum, title="07_EMA_Momentum", color=color.maroon, linewidth=1)
plot(sar_trend, title="08_SAR_Trend", color=color.teal, linewidth=1)
plot(lr_slope, title="09_LR_Slope", color=color.lime, linewidth=1)
plot(mac, title="10_MAC", color=color.fuchsia, linewidth=1)
// Plot volatility indicators
plot(atr_pct, title="11_ATR_Pct", color=color.yellow, linewidth=1)
plot(bb_position, title="12_BB_Position", color=color.aqua, linewidth=1)
plot(kc_position, title="13_KC_Position", color=color.olive, linewidth=1)
plot(std_dev_pct, title="14_StdDev_Pct", color=color.silver, linewidth=1)
plot(bb_width, title="15_BB_Width", color=color.gray, linewidth=1)
// Plot volume indicators
plot(vroc, title="16_VROC", color=color.blue, linewidth=1)
plot(eom_sma, title="17_EOM", color=color.red, linewidth=1)
plot(vol_osc, title="18_Vol_Osc", color=color.green, linewidth=1)
plot(force_index_sma, title="19_Force_Index", color=color.orange, linewidth=1)
plot(obv, title="20_OBV", color=color.purple, linewidth=1)
// Plot additional oscillators
plot(ao, title="21_Awesome_Osc", color=color.navy, linewidth=1)
plot(cmo, title="22_CMO", color=color.maroon, linewidth=1)
plot(dpo, title="23_DPO", color=color.teal, linewidth=1)
plot(trix, title="24_TRIX", color=color.lime, linewidth=1)
plot(fisher, title="25_Fisher", color=color.fuchsia, linewidth=1)
// Plot more momentum indicators
plot(mfi_centered, title="26_MFI_Centered", color=color.yellow, linewidth=1)
plot(ac, title="27_AC", color=color.aqua, linewidth=1)
plot(ppo_pct, title="28_PPO_Pct", color=color.olive, linewidth=1)
plot(stoch_rsi_centered, title="29_StochRSI_Centered", color=color.silver, linewidth=1)
plot(klinger, title="30_Klinger", color=color.gray, linewidth=1)
// Plot trend continuation
plot(tii, title="31_TII", color=color.blue, linewidth=1)
plot(ichimoku_signal, title="32_Ichimoku_Signal", color=color.red, linewidth=1)
plot(mama_momentum, title="33_MAMA_Momentum", color=color.green, linewidth=1)
plot(zlema_momentum, title="34_ZLEMA_Momentum", color=color.orange, linewidth=1)
plot(bop, title="35_BOP", color=color.purple, linewidth=1)
// Plot volume continuation
plot(nvi, title="36_NVI", color=color.navy, linewidth=1)
plot(pvi, title="37_PVI", color=color.maroon, linewidth=1)
plot(momentum_pct, title="38_Momentum_Pct", color=color.teal, linewidth=1)
plot(roc, title="39_ROC", color=color.lime, linewidth=1)
plot(rvi, title="40_RVI", color=color.fuchsia, linewidth=1)
// Plot volatility continuation
plot(dc_position, title="41_DC_Position", color=color.yellow, linewidth=1)
plot(rvi_volatility, title="42_RVI_Volatility", color=color.aqua, linewidth=1)
plot(hv, title="43_Historical_Vol", color=color.olive, linewidth=1)
plot(gk_volatility, title="44_GK_Volatility", color=color.silver, linewidth=1)
plot(parkinson, title="45_Parkinson_Vol", color=color.gray, linewidth=1)
// Plot final oscillators
plot(rogers_satchell, title="46_RS_Volatility", color=color.blue, linewidth=1)
plot(elder_power, title="47_Elder_Power", color=color.red, linewidth=1)
plot(stc, title="48_STC", color=color.green, linewidth=1)
plot(coppock, title="49_Coppock", color=color.orange, linewidth=1)
plot(kst, title="50_KST", color=color.purple, linewidth=1)
// Plot final indicators
plot(ppo_histogram, title="51_PPO_Histogram", color=color.navy, linewidth=1)
plot(pvt, title="52_PVT", color=color.maroon, linewidth=1)
// |----- Reference Lines -----| //
hline(0, "Zero Line", color=color.gray, linestyle=hline.style_dashed, linewidth=1)
hline(50, "Midline", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
hline(-50, "Lower Midline", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
hline(25, "Upper Threshold", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
hline(-25, "Lower Threshold", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
// |----- Enhanced Information Table -----| //
if show_table and barstate.islast
table_position = position.top_right
table_text_size = table_size == "Tiny" ? size.tiny : table_size == "Small" ? size.small : size.normal
var table info_table = table.new(table_position, 3, 18, bgcolor=color.new(color.white, 85), border_width=1, border_color=color.gray)
// Headers
table.cell(info_table, 0, 0, 'Category', text_color=color.black, text_size=table_text_size, bgcolor=color.new(color.blue, 70))
table.cell(info_table, 1, 0, 'Indicator', text_color=color.black, text_size=table_text_size, bgcolor=color.new(color.blue, 70))
table.cell(info_table, 2, 0, 'Value', text_color=color.black, text_size=table_text_size, bgcolor=color.new(color.blue, 70))
// Key Momentum Indicators
table.cell(info_table, 0, 1, 'MOMENTUM', text_color=color.purple, text_size=table_text_size, bgcolor=color.new(color.purple, 90))
table.cell(info_table, 1, 1, 'RSI Centered', text_color=color.purple, text_size=table_text_size)
table.cell(info_table, 2, 1, str.tostring(rsi_centered, '0.00'), text_color=color.purple, text_size=table_text_size)
table.cell(info_table, 0, 2, '', text_color=color.blue, text_size=table_text_size)
table.cell(info_table, 1, 2, 'Stoch Centered', text_color=color.blue, text_size=table_text_size)
table.cell(info_table, 2, 2, str.tostring(stoch_centered, '0.00'), text_color=color.blue, text_size=table_text_size)
table.cell(info_table, 0, 3, '', text_color=color.red, text_size=table_text_size)
table.cell(info_table, 1, 3, 'Williams %R', text_color=color.red, text_size=table_text_size)
table.cell(info_table, 2, 3, str.tostring(williams_r, '0.00'), text_color=color.red, text_size=table_text_size)
table.cell(info_table, 0, 4, '', text_color=color.orange, text_size=table_text_size)
table.cell(info_table, 1, 4, 'MACD Histogram', text_color=color.orange, text_size=table_text_size)
table.cell(info_table, 2, 4, str.tostring(macd_histogram, '0.000'), text_color=color.orange, text_size=table_text_size)
table.cell(info_table, 0, 5, '', text_color=color.green, text_size=table_text_size)
table.cell(info_table, 1, 5, 'CCI', text_color=color.green, text_size=table_text_size)
table.cell(info_table, 2, 5, str.tostring(cci, '0.00'), text_color=color.green, text_size=table_text_size)
// Key Trend Indicators
table.cell(info_table, 0, 6, 'TREND', text_color=color.navy, text_size=table_text_size, bgcolor=color.new(color.navy, 90))
table.cell(info_table, 1, 6, 'SMA Momentum %', text_color=color.navy, text_size=table_text_size)
table.cell(info_table, 2, 6, str.tostring(sma_momentum, '0.00'), text_color=color.navy, text_size=table_text_size)
table.cell(info_table, 0, 7, '', text_color=color.maroon, text_size=table_text_size)
table.cell(info_table, 1, 7, 'EMA Momentum %', text_color=color.maroon, text_size=table_text_size)
table.cell(info_table, 2, 7, str.tostring(ema_momentum, '0.00'), text_color=color.maroon, text_size=table_text_size)
table.cell(info_table, 0, 8, '', text_color=color.teal, text_size=table_text_size)
table.cell(info_table, 1, 8, 'SAR Trend', text_color=color.teal, text_size=table_text_size)
table.cell(info_table, 2, 8, str.tostring(sar_trend, '0'), text_color=color.teal, text_size=table_text_size)
table.cell(info_table, 0, 9, '', text_color=color.lime, text_size=table_text_size)
table.cell(info_table, 1, 9, 'Linear Regression', text_color=color.lime, text_size=table_text_size)
table.cell(info_table, 2, 9, str.tostring(lr_slope, '0.000'), text_color=color.lime, text_size=table_text_size)
// Key Volatility Indicators
table.cell(info_table, 0, 10, 'VOLATILITY', text_color=color.yellow, text_size=table_text_size, bgcolor=color.new(color.yellow, 90))
table.cell(info_table, 1, 10, 'ATR %', text_color=color.yellow, text_size=table_text_size)
table.cell(info_table, 2, 10, str.tostring(atr_pct, '0.00'), text_color=color.yellow, text_size=table_text_size)
table.cell(info_table, 0, 11, '', text_color=color.aqua, text_size=table_text_size)
table.cell(info_table, 1, 11, 'BB Position', text_color=color.aqua, text_size=table_text_size)
table.cell(info_table, 2, 11, str.tostring(bb_position, '0.00'), text_color=color.aqua, text_size=table_text_size)
table.cell(info_table, 0, 12, '', text_color=color.olive, text_size=table_text_size)
table.cell(info_table, 1, 12, 'KC Position', text_color=color.olive, text_size=table_text_size)
table.cell(info_table, 2, 12, str.tostring(kc_position, '0.00'), text_color=color.olive, text_size=table_text_size)
// Key Volume Indicators
table.cell(info_table, 0, 13, 'VOLUME', text_color=color.blue, text_size=table_text_size, bgcolor=color.new(color.blue, 90))
table.cell(info_table, 1, 13, 'Volume ROC', text_color=color.blue, text_size=table_text_size)
table.cell(info_table, 2, 13, str.tostring(vroc, '0.00'), text_color=color.blue, text_size=table_text_size)
table.cell(info_table, 0, 14, '', text_color=color.red, text_size=table_text_size)
table.cell(info_table, 1, 14, 'EOM', text_color=color.red, text_size=table_text_size)
table.cell(info_table, 2, 14, str.tostring(eom_sma, '0.000'), text_color=color.red, text_size=table_text_size)
// Key Oscillators
table.cell(info_table, 0, 15, 'OSCILLATORS', text_color=color.purple, text_size=table_text_size, bgcolor=color.new(color.purple, 90))
table.cell(info_table, 1, 15, 'Awesome Osc', text_color=color.blue, text_size=table_text_size)
table.cell(info_table, 2, 15, str.tostring(ao, '0.000'), text_color=color.blue, text_size=table_text_size)
table.cell(info_table, 0, 16, '', text_color=color.red, text_size=table_text_size)
table.cell(info_table, 1, 16, 'Fisher Transform', text_color=color.red, text_size=table_text_size)
table.cell(info_table, 2, 16, str.tostring(fisher, '0.000'), text_color=color.red, text_size=table_text_size)
// Summary Statistics
table.cell(info_table, 0, 17, 'SUMMARY', text_color=color.black, text_size=table_text_size, bgcolor=color.new(color.gray, 70))
table.cell(info_table, 1, 17, 'Total Indicators: 52', text_color=color.black, text_size=table_text_size)
regime_color = rsi_centered > 10 ? color.green : rsi_centered < -10 ? color.red : color.gray
regime_text = rsi_centered > 10 ? "BULLISH" : rsi_centered < -10 ? "BEARISH" : "NEUTRAL"
table.cell(info_table, 2, 17, regime_text, text_color=regime_color, text_size=table_text_size)
This makes it the perfect “indicator backbone” for quantitative and systematic traders who want to prototype, combine, and test new regime detection models—especially in combination with the Markov Chain indicator.
How to use this script with the Markov Chain for research and backtesting:
Add the Enhanced Indicator Export to your chart.
Every calculated indicator is available as an individual data stream.
Connect the indicator(s) you want as custom input(s) to the Markov Chain’s “Custom Indicators” option.
In the Markov Chain indicator’s settings, turn ON the custom indicator mode.
For each of the three custom indicator inputs, select the exported plot from the Enhanced Export script—the menu lists all 45+ signals by name.
This creates a powerful, modular regime-detection engine where you can mix-and-match momentum, trend, volume, or custom combinations for advanced filtering.
Backtest regime logic directly.
Once you’ve connected your chosen indicators, the Markov Chain script performs regime detection (Bull/Neutral/Bear) based on your selected features—not just price returns.
The regime detection is robust, automatically normalized (using Z-score), and outputs bias (1, -1, 0) for plug-and-play integration.
Export the regime bias for programmatic use.
As described above, use input.source() in your Pine Script strategy or system and link the bias output.
You can now filter signals, control trade direction/size, or design pairs-trading that respect true, indicator-driven market regimes.
With this framework, you’re not limited to static or simplistic regime filters. You can rigorously define, test, and refine what “market regime” means for your strategies—using the technical features that matter most to you.
Optimize your signal generation by backtesting across a universe of meaningful indicator blends.
Enhance risk management with objective, real-time regime boundaries.
Accelerate your research: iterate quickly, swap indicator components, and see results with minimal code changes.
Automate multi-asset or pairs-trading by integrating regime context directly into strategy logic.
Add both scripts to your chart, connect your preferred features, and start investigating your best regime-based trades—entirely within the TradingView ecosystem.
References & Further Reading
Ang, A., & Bekaert, G. (2002). “Regime Switches in Interest Rates.” Journal of Business & Economic Statistics, 20(2), 163–182.
Hamilton, J. D. (1989). “A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle.” Econometrica, 57(2), 357–384.
Markov, A. A. (1906). "Extension of the Limit Theorems of Probability Theory to a Sum of Variables Connected in a Chain." The Notes of the Imperial Academy of Sciences of St. Petersburg.
Guidolin, M., & Timmermann, A. (2007). “Asset Allocation under Multivariate Regime Switching.” Journal of Economic Dynamics and Control, 31(11), 3503–3544.
Murphy, J. J. (1999). Technical Analysis of the Financial Markets. New York Institute of Finance.
Brock, W., Lakonishok, J., & LeBaron, B. (1992). “Simple Technical Trading Rules and the Stochastic Properties of Stock Returns.” Journal of Finance, 47(5), 1731–1764.
Zucchini, W., MacDonald, I. L., & Langrock, R. (2017). Hidden Markov Models for Time Series: An Introduction Using R (2nd ed.). Chapman and Hall/CRC.
On Quantitative Finance and Markov Models:
Lo, A. W., & Hasanhodzic, J. (2009). The Heretics of Finance: Conversations with Leading Practitioners of Technical Analysis. Bloomberg Press.
Patterson, S. (2016). The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution. Penguin Press.
TradingView Pine Script Documentation: www.tradingview.com
TradingView Blog: “Use an Input From Another Indicator With Your Strategy” www.tradingview.com
GeeksforGeeks: “What is the Difference Between Markov Chains and Hidden Markov Models?” www.geeksforgeeks.org
What makes this indicator original and unique?
- On‑chart, real‑time Markov. The chain is drawn directly on your chart. You see the current regime, its tendency to stay (self‑loop), and the usual next step (arrows) as bars confirm.
- Source‑agnostic by design. The engine runs on any series you select via input.source() — price, your own oscillator, a composite score, anything you compute in the script.
- Automatic normalization + regime mapping. Different inputs live on different scales. The script standardizes your chosen source and maps it into clear regimes (e.g., Bull / Bear / Neutral) without you micromanaging thresholds each time.
- Rolling, bar‑by‑bar learning. Transition tendencies are computed from a rolling window of confirmed bars. What you see is exactly what the market did in that window.
- Fast experimentation. Switch the source, adjust the window, and the Markov view updates instantly. It’s a rapid way to test ideas and feel regime persistence/switch behavior.
Integrate your own signals (using input.source())
- In settings, choose the Source . This is powered by input.source() .
- Feed it price, an indicator you compute inside the script, or a custom composite series.
- The script will automatically normalize that series and process it through the Markov engine, mapping it to regimes and updating the on‑chart spheres/arrows in real time.
Credits:
Deep gratitude to @RicardoSantos for both the foundational Markov chain processing engine and inspiring open-source contributions, which made advanced probabilistic market modeling accessible to the TradingView community.
Special thanks to @Alien_Algorithms for the innovative and visually stunning 3D sphere logic that powers the indicator’s animated, regime-based visualization.
Disclaimer
This tool summarizes recent behavior. It is not financial advice and not a guarantee of future results.
Multi Layer EMA Cross ADX Signals #wallstreetdeerMulti-layered Analysis: The strategy uses a combination of indicators to confirm trends and filter out market noise, pinpointing high-probability entries. It includes logic to adapt to different market regimes, ensuring relevance across varying market conditions.
Highly customizable indicator settings help you to increase signal success rate for your favorite instrument.
Xcalibur Signals & Alerts [AlgoXcalibur]An advanced trend-following algorithm forged to empower retail traders with an edge.
Xcalibur Signals & Alerts is a sophisticated, multi-layered algorithm designed to consistently deliver real-time trend signals—without clutter or unnecessary complexity. The system combines refined trend-following logic with breakout detection, flat-market filtration, false signal failsafes, take profit cues, live alerts, and more — all in a visually simple, easy-to-use indicator built for all assets, timeframes, and market conditions.
🧠 Algorithm Logic
Xcalibur Signals & Alerts operates on a systematic framework that evaluates multiple technical dimensions in harmony—directional alignment, momentum confirmation, relative strength, volume bias, breakout detection, Fibonacci calculations, and more. Rather than reacting to isolated triggers, it filters every opportunity through a multi-layered confirmation engine. It doesn’t just react to every move—it evaluates them. This cohesive approach ensures that each signal results from aligned conditions—not arbitrary thresholds. By combining structural awareness with adaptive filtering, Xcalibur maintains clarity and consistency across a wide range of market environments—delivering actionable signals without unnecessary noise or lag.
⚙️ User-Adjustable Features
• Adjustable Sensitivity:
Choose from 5 pre-tuned Signal Trigger Settings and 3 dynamic Confirmation Filter Modes to tailor the system to your trading style, asset, and timeframe. Candle color reflects the active trigger condition, while an adaptive cyan line displays the selected Confirmation Filter—blocking signals until the filter threshold is crossed.
• Directional Stability Filter: When enabled, this filter uses mean-reversion calculations to determine directional bias and block unreliable signals during choppy, indecisive price action. A magenta line represents this filter threshold and provides higher-confidence signals during periods of low directional conviction.
• Pullback Allowance Filter:
When enabled, this unique filter uses Fibonacci ratios to deliberately block signals from temporary pullbacks during strong trend periods. A green (uptrend) or red (downtrend) line marks the active pullback allowance zone.
• False Signal Failsafe
:
Two selectable modes:
Simple — Cancels the signal if price breaks the signal candle’s high or low.
Advanced — Requires both a price break and opposing momentum confirmation.
When triggered, the system plots a white “X” signal, turns candles gray, disables the background color, sends an alert (if enabled), and enters standby mode until a valid trend condition re-emerges.
• Reaction Zones:
Identifies probable reversal or breakout zones based on recent price action patterns. A yellow line appears when active, with a yellow caution flag plotted if the price reaches this critical area.
• Take-Profit Cues
: Automatically detects potential trend exhaustion using price action structure and momentum shifts. When triggered, a visual “TP” marker is plotted—advising traders to manage profits or prepare for a possible reversal.
• Trailing Stop:
Plots a dynamic, percentage-based trailing stop or trailing take-profit using your selected input. Adjust it to suit your risk tolerance and asset.
• Multi-Timeframe Monitor
: Displays real-time trend direction across 1m, 2m, 5m, 15m, 1H, 4H, and 1D timeframes in a compact, easy-to-read table.
• Alert System
:
Receive desktop and/or mobile alerts for:
* New trend signals
* Failsafe triggers
* 9:00 AM Morning Greeting messages with auto re-arming confirmation
(Alerts are limited to 9:00 AM – 4:00 PM Eastern Time)
• SuperCandles
: Highlights strong momentum moves with a stunning and easily recognizable glow effect.
• Color-Coded Candles & Background
: Candles reflect the current trigger condition, while the background tint tracks the most recent trend—enhancing situational awareness.
*All input settings include tooltips to guide users through setup and interpretation.
⚔️ Not Just Another Signal Tool
Xcalibur Signals & Alerts was built from the ground up to empower retail traders with access to a cohesive, structured algorithmic system—one that reflects the kind of awareness, discipline, and market adaptability found in professional-grade algorithms.
This is not another oversensitive or under-responsive signal indicator that is limited to one specific type of market condition or trader. It does not utilize hyperactive triggers, rely on lagging crossover logic, or need infinitely adjustable and complex sensitivity settings. Instead of cluttered visuals to interpret, this indicator delivers a simple, easy-to-use tool—prioritizing clarity and usability without compromising on depth and sophistication.
Whether the market is trending, breaking out, or moving sideways, Xcalibur adapts—prioritizing trend stability, directional integrity, and visual clarity from one signal to the next.
⚠️ While the Xcalibur Signals & Alerts algorithm is immune to human emotion, you are not. Be mindful not to fall victim to costly emotions that can manipulate your judgment, and understand the unpredictable and complex nature of trading. No algorithm, strategy, or technique can deliver perfect accuracy, and Xcalibur Signals & Alerts is no exception. While AlgoXcalibur strives to be as accurate as possible, incorrect signals can and will occur. Xcalibur Signals & Alerts is a tool, not a guarantee. Users are fully responsible for making their own trading decisions, implementing proper risk management, and always trading responsibly.
🛡️ Wield Xcalibur as a standalone weapon or use it alongside other tools.
🔐 To get access or learn more, visit the Author’s Instructions section.
Order Blocks v2Order Blocks v2 – Smart OB Detection with Time & FVG Filters
Order Blocks v2 is an advanced tool designed to identify potential institutional footprints in the market by dynamically plotting bullish and bearish order blocks.
This indicator refines classic OB logic by combining:
Fractal-based break conditions
Time-level filtering (Power of 3)
Optional Fair Value Gap (FVG) confirmation
Real-time plotting and auto-invalidation
Perfect for traders using ICT, Smart Money, or algorithmic timing models like Hopplipka.
🧠 What the indicator does
Detects order blocks after break of bullish/bearish fractals
Supports 3-bar or 5-bar fractal structures
Allows OB detection based on close breaks or high/low breaks
Optionally confirms OBs only if followed by a Fair Value Gap within N candles
Filters OBs based on specific time levels (3, 7, 11, 14) — core anchors in many algorithmic models
Automatically deletes invalidated OBs once price closes through the zone
⚙️ How it works
The indicator:
Tracks local fractal highs/lows
Once a fractal is broken by price, it backtracks to identify the best OB candle (highest bullish or lowest bearish)
Validates the level by checking:
OB type logic (close or HL break)
Time stamp match with algorithmic time anchors (e.g. 3, 7, 11, 14 – known from the Power of 3 concept)
Optional FVG confirmation after OB
Plots OB zones as lines (body or wick-based) and removes them if invalidated by a candle close
This ensures traders see only valid, active levels — removing noise from broken or out-of-context zones.
🔧 Customization
Choose 3-bar or 5-bar fractals
OB detection type: close break or HL break
Enable/disable OBs only on times 3, 7, 11, 14 (Hopplipka style)
Optional: require nearby FVG for validation
Line style: solid, dashed, or dotted
Adjust OB length, width, color, and use body or wick for OB height
🚀 How to use it
Add the script to your chart
Choose your preferred OB detection mode and filters
Use plotted OB zones to:
Anticipate price rejections and reversals
Validate Smart Money or ICT-based entry zones
Align setups with algorithmic time sequences (3, 7, 11, 14)
Filter out invalid OBs automatically, keeping your chart clean
The tool is useful on any timeframe but performs best when combined with a liquidity-based or time-anchored trading model.
💡 What makes it original
Combines fractal logic with OB confirmation and time anchors
Implements time-based filtering inspired by Hopplipka’s interpretation of the "Power of 3"
Allows OB validation via optional FVG follow-up — rarely available in public indicators
Auto-cleans invalidated OBs to reduce clutter
Designed to reflect market structure logic used by institutions and algorithms
💬 Why it’s worth using
Order Blocks v2 simplifies one of the most nuanced parts of SMC: identifying clean and high-probability OBs.
It removes subjectivity, adds clear timing logic, and integrates optional confluence tools — like FVG.
For traders serious about algorithmic-level structure and clean setups, this tool delivers both logic and clarity.
⚠️ Important
This indicator:
Is not a signal generator or financial advice tool
Is intended for experienced traders using OB/SMC/time-based logic
Does not predict market direction — it provides visual structural levels only
BeeQuant - Hive Bars🔶 OVERVIEW
The "Hive Bars" indicator is a truly revolutionary analytical instrument, meticulously engineered to transcend the limitations of conventional price charting and unveil the profound, underlying essence of market dynamics. Imagine possessing a sophisticated visual engine that intelligently reconstructs raw price data into unique, dynamically consolidated "Hive Bars." These specialized constructs intuitively reveal the dominant market momentum and highlight high-conviction signals often obscured by the ubiquitous noise of traditional candlesticks. This indicator acts as a precision filter, illuminating exactly when pivotal shifts are occurring by coloring these reconstructed units with an adaptive, unparalleled accuracy. It is expertly crafted for the discerning trader seeking an undeniable analytical advantage, offering a fresh, meticulously refined perspective that enables the discernment of concealed patterns, fostering more decisive and confident trading actions. Crucially, "Hive Bars" now feature proactive, real-time alert capabilities, ensuring no critical market inflection point ever goes unnoticed.
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🧠 CONCEPTS
At its intellectual core, the "Hive Bars" indicator operates upon an advanced, proprietary framework that fundamentally reinterprets market data. It presents this refined information through its unique "Hive Bars"—specialized visual constructs that dynamically encapsulate the consolidated spirit and true directional bias of price action, delivering unparalleled clarity.
⬜ Smart Bar Reconstruction: Hive Bars don’t follow time, they follow the market. They are derived through a sophisticated, multi-faceted internal process that precisely captures the dominant price influence and momentum over variable periods. This structure adapts dynamically to changing conditions, letting you see the real pressure behind price moves with consistency that time-based candles can’t match. This proprietary reconstruction creates a new, inherently consistent, and highly focused visual narrative of underlying market flow, effectively stripping away extraneous "noise" and revealing the market's authentic directional intent.
⬜ Multi-Layered Internal Analysis: A dynamic and live, adaptive line powers the core of Hive Bars. It recalibrates constantly, tracking market structure in real time. Every bar is formed in relation to this internal baseline, giving immediate context to price behavior. You choose the data that drives this line—open, close, high, low, or custom blends—to match your style.
⬜ Intelligent Bar Formation Sequences: Bars are created when the market speaks, not when the clock ticks. A built-in pattern engine reads the flow and waits for real structure to form. This allows the indicator to autonomously consolidate price action, presenting a cleaner, more coherent visualization of trend development as it truly unfolds, rather than fragmented snapshots based on time.
⬜ Visual Signal Precision: "Hive Bars" spring to life with an intuitively powerful coloring system. While primary colors (Green for upward bias, Red for downward bias) denote the prevailing market direction, the "Hive Bars" indicator introduces distinctively colored "Signal Hive Bars". These specialized bars emerge when the market price exhibits a particularly robust, high-conviction interaction with the adaptive internal baseline, standing out instantly and often mark key turning points or breakouts you want to act on.
⬜ Daily Reset Option: For intraday traders, there’s a reset feature that clears the internal build-up at the start of each new trading day. This ensures fresh, unbiased perspectives that are meticulously tailored to the distinct market dynamics and cyclic rhythms of the current trading day.
⬜ Adjustable Sensitivity: With Hive Smoothing, you’re in full control. This setting lets you fine-tune how sensitive the bars are to price movement. Want tighter, faster signals? Dial it down. Prefer broader, more filtered setups? Turn it up. You decide when a new Hive Bar forms—and when a Signal Bar confirms. It’s all based on how you trade and how your asset moves. No guesswork, no one-size-fits-all defaults. Hive Bars adapts to your strategy and trading style, not the other way around.
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✨ FEATURES
The "Hive Bars" indicator is equipped with a comprehensive suite of cutting-edge features, designed for unparalleled clarity, adaptive responsiveness, augmented analytical depth, seamless interoperability with your broader analytical toolkit, and proactive real-time notifications:
🔹Proprietary Hive Bar Reconstruction
Experience a uniquely advanced visual representation of price action that dynamically consolidates market data, leading to enhanced trend and momentum clarity that goes beyond standard charting and candlestick data.
🔹Customizable Internal Analysis Line
Gain precise control over the underlying adaptive baseline's calculation by selecting various internal price source options, ensuring its alignment with your specific analytical focus.
🔹 Smart Alerts for Key Events 🔔
Get notified in real time when:
◦ A new Hive Bar completes – signaling a fresh structural range reset
◦ A new Signal Hive Bar closes – identifying a potential overbought or oversold condition
Built-in alert conditions make it easy to stay ahead of shifts without watching every candle manually.
🔹Intelligent Bar Formation Sequencing
Diamond-shaped markers clearly indicate the start of the indicator's internal combination logic for enhanced visual understanding.
🔹High-Conviction "Signal Hive Bars" (Distinct Colors)
Receive specialized, uniquely colored visual alerts when Hive Bars exhibit strong, decisive movements relative to the adaptive baseline, indicating moments of heightened market conviction and potential opportunity.
🔹Session-Based Reconstruction
Opt for the "Daily New Start" to intelligently reset the indicator's perspective with each new trading day, providing fresh, session-aligned insights tailored for intraday precision.
🔹Unrivaled External Indicator Collaboration
A truly unique and powerful advantage of "Hive Bars" is its capability to seamlessly integrate and profoundly enhance the performance of other external indicators. By outputting clean, smoothed price data, it lets you feed a higher-quality source into tools like RSI, MACD, moving averages etc. Use close for indicators like RSI, and close for moving averages. The result is better clarity, fewer false signals, and a stronger edge across your setup. Hive Bars isn’t just an indicator, it’s an upgrade for everything you use.
🔹Non-Repainting Historical Integrity
Hive Bars never repaints. Each bar is locked in only after all internal conditions are fully met. This means you can trust every historical signal—it won’t shift or vanish after the fact. What you see in hindsight is exactly what was shown in real time.
🔹Universal Timeframe Compatibility
Whether you're scalping on the 1-minute chart or analyzing multi-month trends, Hive Bars delivers consistent, clean insights. Its architecture adapts to any timeframe without losing fidelity, making it a reliable tool for any strategy or style.
🔹Cross-Market Versatility
Hive Bars is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Integrating the "Hive Bars" indicator into your daily analytical regimen is an intuitive process that will profoundly enhance your ability to discern crucial market dynamics and spot high-conviction opportunities with unprecedented clarity:
💁 Effortless Application
Simply add the "Hive Bars" indicator to any chart within your TradingView platform. Note that it plots on a separate panel below your main price chart to provide its unique visual output without obscuring the primary price action.
📊 Strategic Calibration
Access the indicator's comprehensive settings panel to meticulously calibrate its powerful engines and unlock its full potential:
⚙ "Internal EMA Config"
Configure the internal adaptive baseline by choosing its source (e.g., CLOSE, HL/2) and its specific EMA length. This shapes the core reference point for the dynamic formation of the "Hive Bars."
🤖 "CONFIG Group"
Here, you decide if you want "Daily New Start" for session-based analytical resets (particularly beneficial for intraday strategies). The "Hive Smoothing" input allows you to control a further layer of consolidation for the "Hive Bars."
🟩🟥 "Color": Customize the appearance of both standard "Hive Bars" and "Signal Hive Bars" to suit your visual preferences, enhancing their immediate interpretability.
🧭 Empirical Exploration
Experimentation with these parameters is paramount. Dedicate time to exploring different combinations across various assets and timeframes to discover the optimal configuration that resonates with your unique trading methodology and the inherent volatility of the market being analyzed.
👀 Interpreting the Unveiled Market Reality: Once calibrated, the "Hive Bars" will present a strikingly clear and actionable picture of market dynamics:
+ Green/Red Hive Bars: These visually denote the consolidated directional bias of the market over the reconstructed period. A sustained sequence of Green "Hive Bars" suggests pervasive bullish pressure and an upward path of least resistance, while a series of Red "Hive Bars" indicates dominant bearish control and a clear downward momentum.
+ "Signal Hive Bars" (Distinct Colors): Pay close attention to these specially colored "Hive Bars." They signify critical moments where the reconstructed price action exhibits a particularly strong, high-conviction interaction with its adaptive internal baseline. These often precede or confirm significant market movements and serve as your clearest, most reliable visual triggers for potential shifts in market control.
⛓️ Intermittent Appearance: Observe that "Hive Bars" do not necessarily appear for every single native time unit of your chart. They are intelligently reconstructed and consolidated representations of price action, appearing only when specific internal conditions are met to present a coherent, high-impact view of distinct market phases.
🔗 Harnessing Advanced External Synergy: To unlock a new dimension of analytical power, profoundly enhance your existing indicator suite by integrating the output of "Hive Bars" as the data source for other external indicators. When adding or configuring indicators such as RSI, Stochastic Oscillators, various Moving Averages (EMA, SMA), or any other indicator that prompts for a 'source' input, you can now select the purified output of the "Hive Bars" as your desired data stream.
For oscillators (e.g., RSI, MACD), select the close or a similar relevant output from "Hive Bars" as your source. This allows the oscillator to react to the purified, consolidated momentum of the "Hive Bars" rather than the potentially noisy raw price data, leading to smoother and more meaningful oscillator signals.
For moving averages (e.g., EMA, SMA), utilize the close or other pertinent "Hive Bar" output as your source. This provides an exceptionally smooth, highly responsive, and less choppy average that precisely tracks the true underlying trend as identified by "Hive Bars." This unique capability allows for the construction of powerfully layered and synergistic trading strategies.
📢 Setting Up Proactive Alerts for Critical Events: Leverage the newly incorporated alert capabilities to maintain real-time awareness of pivotal market developments, even when not actively monitoring your charts.
You can now choose to be alerted specifically when a "New Hive Bar Closed" (signifying the definitive completion of a major market phase as identified by the indicator) or when a "New Signal Hive Bar Closed" (highlighting a high-conviction market event that warrants immediate attention due to its pronounced significance).
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⚠️ LIMITATIONS
While the "Hive Bars" indicator is an incredibly powerful and advanced tool for dissecting market dynamics, it is vital to understand its inherent design parameters and the prevailing platform-specific constraints for optimal and informed utilization:
👉 Visual Gaps in Plotting: Due to current platform limitations pertaining to custom candle plotting functionality, you may occasionally observe visual gaps or intermittent non-contiguous plotting between "Hive Bars" on the chart. They’re not missing data, but a result of strict plotting rules. A bar is only drawn when all internal conditions are met. This ensures accuracy, even if the chart shows some spacing.
👉 Complementary Tool: This indicator excels at providing high-conviction directional insights and identifying significant market phases. However, it is fundamentally designed as a sophisticated complementary tool to a broader trading strategy, not as a standalone, all-encompassing system. Its true power is unlocked when integrated with other analytical methods.
👉 Input Calibration Essential: The efficacy and depth of insights derived from the "Hive Bars" are highly dependent on the careful and thoughtful calibration of its input parameters, including the "Internal EMA Config," "Hive Smoothing" setting. Optimal results necessitate empirical user experimentation and fine-tuning to discover the configurations best suited for specific assets, analytical objectives, and market conditions.
👉 Exclusion of Auxiliary Data: The "Hive Bars" indicator's primary focus is exclusively on transforming and presenting price data. It does not natively incorporate other vital market information such as fundamental economic data, or news events. Integrating these additional analytical layers remains an essential aspect of constructing a truly comprehensive and robust trading strategy.
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🎯 CONCLUSION
The "Hive Bars" indicator offers an unparalleled, intuitively accessible, and highly adaptable framework for instantly grasping true price momentum and direction through its intelligent, non-repainting reconstruction of market data. By transforming chaotic raw data into strikingly clear, high-conviction "Hive Bars" and dynamic signals, and now with proactive alerts to highlight critical moments, it empowers you to cut through distractions and identify market currents with unprecedented ease. Think of it as a custom lens for the market. It filters out the clutter and shows you the real structure—bars formed not by time, but by intent. It's about seeing the unseen, with enhanced clarity and a deeper understanding of market forces, now with the power to supercharge all your other tools and keep you informed. No fluff. No hype. Just an edge you can actually see—and use.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Bars" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative activity.
BeeQuant - Hive Factra🔶 OVERVIEW
The "Hive Factra" is a groundbreaking analytical instrument designed to unveil the true essence of market movement, transforming complex price action into powerfully consolidated insights. Imagine having a specialized lens that intelligently reconstructs market periods into unique "Hive Factra Bars," revealing underlying momentum and high-conviction signals often obscured in traditional charts. This indicator cuts through the noise, showing you precisely when significant shifts are occurring by coloring these reconstructed bars with an adaptive precision. It's built for traders who seek unfiltered perspective that helps see hidden patterns and make more decisive moves.
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🧠 CONCEPTS
Markets move in impulses and compressions. Most trend indicators rely on single-frame slope logic, which often flips during minor pullbacks. Hive Factra takes a different route. At its core, the "Hive Factra" operates on a sophisticated framework that reinterprets market data, presenting it through its proprietary "Hive Factra Bars", unique visualizations that capture the consolidated spirit of price action.
⬜ The "Hive Factra" Reconstruction: Unlike standard candles, "Hive Factra Bars" are intelligently re-engineered representations of market activity. They are derived through a proprietary process that captures the dominant price influence over specific periods, presenting a clearer, more focused view of underlying momentum. These unique bars visually consolidate information, making the core directional bias immediately apparent.
⬜ The Adaptive Baseline: An internal, dynamic analysis line constantly adjusts to market flow, serving as a crucial reference point for the "Hive Factra Bars." This adaptive baseline provides real-time context, helping the indicator precisely determine the significance of each reconstructed bar's movement.
⬜ High-Conviction Coloring & Signal Bars: The "Factra Bars" come to life with a discerning coloring system. While they reflect the primary market direction (Green for upward bias, Red for downward bias), the "Hive Factra" introduces specialized "Signal Hive Bars" with distinct colors. These unique bars appear when the consolidated price action exhibits a particularly strong, high-conviction interaction with the adaptive baseline, acting as powerful visual alerts for moments of heightened significance.
⬜ Session-Aligned Insights: For intraday traders, the "Daily New Start" option provides a unique advantage. When enabled, the indicator can reset its internal reconstruction process with each new trading session, offering fresh, unbiased perspectives tailored to the day's distinct market dynamics.
⬜ Dynamic Sensitivity: A configurable "Offset" allows you to fine-tune the indicator's responsiveness and the thresholds for initiating these "Hive Factra Bars" and "Signal Hive Bars." This ensures the indicator aligns perfectly with your individual trading style and the volatility of the asset you're analyzing.
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✨ FEATURES
The "Hive Factra" is equipped with a suite of cutting-edge features, all meticulously designed for unparalleled clarity, adaptive responsiveness, and augmented analytical depth:
🔹 Proprietary Hive Factra Bars
Experience a unique visual representation of price action that consolidates market data for enhanced trend and momentum clarity.
🔹 Customizable Internal Analysis Line
Control the underlying adaptive baseline's calculation for precise alignment with market flow, utilizing various price source options.
🔹 High-Conviction "Signal Hive Bars" (Distinct Colors)
Receive specialized visual alerts when Factra Bars exhibit strong, decisive movements relative to the adaptive baseline, indicating moments of heightened market conviction.
🔹 Overbought/Oversold Visuals
Signal Hive Bars highlight areas of potential exhaustion, providing intuitive insight into stretched conditions
🔹 Session-Based Reconstruction
Opt for the "Daily New Start" to reset the indicator's perspective with each new trading day, providing fresh, session-aligned insights.
🔹 Dynamic Offset Control
Adjust the "Offset" parameter to fine-tune the sensitivity of the Factra Bar reconstruction and signal generation thresholds, tailoring the indicator to specific market conditions.
🔹 Non-Repainting Logic for Historical Reliability
Each "Hive Factra Bar" is plotted only when its internal reconstruction conditions are fully met and confirmed. This ensures that the historical display of Factra Bars does not repaint, providing a high degree of reliability and trust in past signals and visualizations.
🔹 Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
🔹 Custom Range Start Marker
A subtle diamond-shaped symbol is plotted to indicate the start of the Hive Factra logic cycle. This marks the bar from which the internal price range begins accumulating until a new Hive Factra Bar is confirmed and displayed. Helps visualize the dynamic evaluation period used in Factra’s structural detection.
🔹 Smart Alerts for Key Events
Get notified in real time when:
◦ A new Hive Factra Bar completes – signaling a fresh structural range reset
◦ A new Signal Hive Bar closes – identifying a potential overbought or oversold condition
Built-in alert conditions make it easy to stay ahead of shifts without watching every candle manually.
🔹 Universal Timeframe Compatibility: The "Hive Factra" is meticulously engineered to perform flawlessly across all timeframes, from rapid intraday charts to long-term weekly and monthly views. This universal compatibility ensures you receive consistent, high-quality insights regardless of your analytical horizon.
🔹 Unrivaled External Indicator Collaboration: A truly unique advantage of the "Hive Factra" is its capability to seamlessly integrate and enhance the performance of other external indicators. Its meticulously processed output, can serve as a highly purified and consolidated 'source' for indicators that accept such inputs (e.g., RSI, StochRSI, moving averages), which allows for more insightful data stream into your favorite indicators, potentially unlocking new levels of responsiveness and signal accuracy for your entire analytical setup.
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⚙️ USAGE
Integrating the "Hive Factra" into your daily analytical regimen is intuitive and will profoundly enhance your ability to discern crucial market dynamics and spot high-conviction opportunities:
💁 Effortless Application
Simply add the "Hive Factra" indicator to any chart within your TradingView platform. Note that it plots on a separate panel below your main price chart to provide its unique visual output without obscuring price.
📊 Tailored Calibration: Access the indicator's settings to unlock its full potential:
⚙ "Internal EMA Config"
Configure the internal adaptive baseline by choosing its source (e.g., Close, HL/2) and length. This shapes the core reference point for the Factra Bars.
⚙ "Hive Factra"
Decide if you want "Daily New Start" for session-based analysis and choose the "Source" type for how the Factra Bars are built.
🤖 "Offset"
Experiment with the "Offset" percentage to adjust the sensitivity of the Factra Bar's reconstruction. A smaller offset will make the Factra Bars appear more frequently, while a larger one will highlight only more significant movements.
🟩🟥 Green/Red Hive Factra Bars
These indicate the consolidated directional bias of the market over the reconstructed period. A sequence of Green bars suggests sustained bullish pressure, while Red bars point to dominant bearish control.
🚀 "Signal Hive Bars" (Unique Colors)
Pay close attention to these specially colored Hive Factra Bars. They signify moments where the reconstructed price action exhibits a high-conviction interaction with its adaptive baseline, often preceding or confirming significant market moves. These are your clearest signals for potential shifts.
✨ Appearance of Hive Factra Bars
Notice that these Bars do not necessarily appear for every single time unit. They intelligently reconstruct and consolidate price action, appearing only when conditions align to present a coherent, high-impact view of market phases.
🪢 Harnessing External Synergy
To unlock a new dimension of analysis, consider integrating "Hive Factra" as the data source for other indicators:
1. When adding indicators like RSI, StochRSI, or others that prompt for a 'source' input, you can select the "Hive Factra" as the input.
2. For oscillators (e.g., RSI, Stochastic), choose the close or similar output from "Hive Factra" as your source. This allows the oscillator to react to the purified, consolidated momentum of the Factra Bars rather than raw price.
For moving averages (e.g., EMA, SMA), use the close or other relevant Factra Bar output as your source. This provides an exceptionally smooth and responsive average that tracks the true underlying trend.
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⚠️ LIMITATIONS
While the "Hive Factra" is an incredibly powerful tool for dissecting market dynamics, it's vital to understand its design parameters for optimal use. It does not attempt to front-run reversals or predict market turns. Instead, it focuses on framing price behavior so traders can react with context.
👉 Visual Gaps in Plotting: Due to Tradingview platform limitations with custom candle plotting functionality, you may observe visual gaps between "Hive Factra Bars" on the chart. This occurs because the indicator only plots a Hive Factra Bar when its internal conditions for reconstruction are fully met, and there isn't an 'offset' parameter for custom candles to bridge these visual discontinuities. Importantly, this behavior ensures that each plotted Factra Bar is confirmed and does not repaint, providing reliable historical analysis.
👉 Reconstructed Data, Not Raw Price: It's crucial to remember that "Hive Factra Bars" are not traditional candles. They are a derived visualization that intelligently consolidates price data.
👉 Complementary Tool: This indicator excels at providing high-conviction directional insights and identifying significant market phases. However, it is designed as a sophisticated complement to a broader trading strategy, not a standalone system.
👉 Input Calibration Essential: The effectiveness of the "Hive Factra" is highly dependent on careful calibration of its input parameters, especially the "Offset" and internal EMA settings. Optimal results require user experimentation to find settings best suited for specific assets and timeframes.
👉 Exclusion of Auxiliary Data: The "Hive Factra" focuses solely on transforming price data. It does not incorporate other vital market information such as trading volume, market breadth, or fundamental news. Integrating these additional analytical layers remains essential for a comprehensive trading strategy.
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🎯 CONCLUSION
The "Hive Factra" offers an unparalleled, intuitive, and highly adaptable framework for instantly grasping true price momentum and direction through its intelligent reconstruction of market data. By transforming chaotic raw data into strikingly clear, high-conviction "Factra Bars" and dynamic signals, it empowers you to cut through distractions and identify critical market currents with ease. Its revolutionary capability for seamless collaboration with external indicators (like RSI, EMA, etc., by using its purified output as their source) means you can elevate the performance of your entire analytical suite to new levels of precision and clarity. Seamlessly integrate this advanced visual tool within your analytical framework to gain a sharper, more confident perspective, and elevate your strategic decision-making in the markets. It's about seeing the unseen, with enhanced clarity and a deeper understanding of market forces, now with the power to supercharge all your other tools.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Factra" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
Aftershock Playbook: Stock Earnings Drift EngineStrategy type
Event-driven post-earnings momentum engine (long/short) built for single-stock charts or ADRs that publish quarterly results.
What it does
Detects the exact earnings bar (request.earnings, lookahead_off).
Scores the surprise and launches a position on that candle’s close.
Tracks PnL: if the first leg closes green, the engine automatically re-enters on the very next bar, milking residual drift.
Blocks mid-cycle trades after a loss until the next earnings release—keeping the risk contained to one cycle.
Think of it as a sniper that fires on the earnings pop, reloads once if the shot lands, then goes silent until the next report.
Core signal inputs
Component Default Purpose
EPS Surprise % +0 % / –5 % Minimum positive / negative shock to trigger longs/shorts.
Reverse signals? Off Quick flip for mean-reversion experiments.
Time Risk Mgt. Off Optional hard exit after 45 calendar days (auto-scaled to any TF).
Risk engine
ATR-based stop (ATR × 2 by default, editable).
Bar time stop (15-min → Daily: Have to select the bar value ).
No pyramiding beyond the built-in “double-tap”.
All positions sized as % of equity via Strategy Properties.
Visual aids
Yellow triangle marks the earnings bar.
Diagnostics table (top-right) shows last Actual, Estimate, and Surprise %.
Status-line tool-tips on every input.
Default inputs
Setting Value
Positive surprise ≥ 0 %
Negative surprise ≤ –5 %
ATR stop × 2
ATR length 50
Hold horizon 350 ( 1h timeframe chart bars)
Back-test properties
Initial capital 10 000
Order size 5 % of equity
Pyramiding 1 (internal re-entry only)
Commission 0.03 %
Slippage 5 ticks
Fills Bar magnifier ✔ · On bar close ✔ · Standard OHLC ✔
How to use
Add the script to any earnings-driven stock (AAPL, MSFT, TSLA…).
Turn on Time Risk Management if you want stricter risk management
Back-test different ATR multipliers to fit the stock’s volatility.
Sync commission & slippage with your broker before forward-testing.
Important notes
Works on every timeframe from 15 min to 1 D. Sweet spot around 30min/1h
All request.earnings() & request.security() calls use lookahead_off—zero repaint.
The “double-tap” re-entry occurs once per winning cycle to avoid drift-chasing loops.
Historical stats ≠ future performance. Size positions responsibly.
BeeQuant - Hive Smoothing Average🔶 OVERVIEW
The "Hive Smoothing Average" is your gateway to crystal-clear market insights, a truly advanced tool that cuts through confusing price "noise" to reveal the true underlying trend. Imagine having a panoramic view of the market's true direction, unclouded by minor ups and downs. This powerful indicator dynamically filters out market distractions, presenting you with a highly refined line that not only shows you the genuine path of price but also changes color. It’s built for traders who demand clarity and want to confidently spot opportunities that others might miss in messy charts.
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🧠 CONCEPTS
At its heart, the "Hive Smoothing Average" employs a sophisticated multi-stage processing system to transform raw price data into an incredibly smooth and responsive smoothed moving average line. It's designed to give you an unparalleled view of market direction and momentum.
⬜ Synthesizes multiple smoothing layers to deliver a balanced representation of underlying price action.
⬜ Offers enhanced visual consistency by filtering volatility distortion without delay-based lag.
⬜ Presents color-coded transitions and signal markers to aid in directional conviction and structural flow.
⬜ Embeds a modular smoothing core adaptable across market environments and asset classes.
Hive Smoothing Average doesn't forecast, it refines. It provides a more coherent view of price evolution, allowing for higher-confidence discretion and more robust strategy overlays.
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✨ FEATURES
Hive Smoothing Average is loaded with flexibility and visual power to enhance your decision-making:
🔹Customizable Smoothing
Tailor the indicator’s core behavior using a wide range of smoothing algorithms — from classic to advanced — to match your trading tempo and asset dynamics.
🔹 Intelligent Color Feedback
The line color dynamically shifts to reflect meaningful trend transitions, offering at-a-glance clarity without crowding your chart.
🔹 Trend Signal Markers
Built-in arrow markers highlight potential transitions in price momentum, acting as subtle nudges to investigate further.
🔹 Multi-Timeframe Ready
Designed to operate cleanly across all timeframes, from scalping micro-trends to monitoring macro cycles.
🔹 External Source Collaboration
Hive Smoothing Average includes two flexible input channels that can seamlessly connect with other indicators on your chart.
🔹 Adaptive Bands
A powerful enhancement to the Hive framework, the optional Standard Deviation Bands add dynamic context to price behavior by highlighting how far price is moving relative to its recent average volatility.
Length: Controls the lookback period for volatility calculation.
Lower values (e.g., 20 – 50) make the bands highly reactive Higher values (e.g., 200 – 500) smooth out the bands (classic envelope systems )
These bands offer valuable visual cues for both volatility expansion and mean reversion potential, especially when combined with Hive’s core candle coloration logic.
🔹Non-Repainting Logic for Historical Reliability
Each "Hive Smoothing Average" is plotted only when its internal reconstruction conditions are fully met and confirmed. This ensures that the historical display of Hive Smoothing Average does not repaint, providing a high degree of reliability and trust in past signals and visualizations.
🔹Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Getting started with Hive Smoothing Average is seamless and intuitive:
✨ Apply to Any Chart
Simply add the indicator to any asset or timeframe and see immediate transformation in chart clarity.
💹 Source Data Flexibility
Choose your preferred price data source for each smoothing stage (e.g., Close, Open, High, Low), providing complete control over the input feeding the sophisticated smoothing algorithms.
🛠️ Adjust Smoothing Behavior
Choose your preferred initial and final smoothing types (EMA, HMA, ALMA, etc.), and tweak lengths for desired responsiveness or smoothness.
📐 Use Bands for Confluence
Enable the Bands mode to visualize dynamic zones around your smoothed price. Useful for breakout validation and fade zones.
🟩 Green Smoother Line
Indicates strengthening bullish bias and upward progression.
🟥 Red Smoother Line
Suggests weakening or shifting trend toward bearish territory.
📈 Arrow Signals
Upward or downward triangles appear when directional bias changes — confirming subtle pivots in trend behavior.
🎯 Offset Adjustment
Fine-tune the visual positioning of the smoothed line and bands on your chart with a convenient "Offset" input.
📏 Lookback Filter
Activate the “Lookback Filter” setting to remove weaker signals based on custom historical logic. By checking recent candle behavior, it filters out low-quality transitions and only keeps strong, confirmed shifts — helping you avoid noise and stay focused on reliable breakouts.
Experiment with settings based on your trading timeframe. Short-term traders may prefer fast-reactive configurations, while swing or positional traders can explore higher-period smoothings for structural signals.
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⚠️ LIMITATIONS
While Hive Smoothing Average delivers incredible trend clarity, it’s essential to use it within its designed purpose:
👉 Visual Clarity, Not Trade Calls: This tool enhances visibility of market behavior, not automatic signals. Use it as a trusted lens — not a standalone system.
👉 Reactive, Not Predictive: Hive Smoothing Average responds to price action with refined smoothing. It is not a forecasting model.
👉 Config-Sensitive Output: Different smoothing setups can produce different levels of sensitivity or delay. Calibration matters — explore what fits your asset and style.
👉 Focuses on Price Action Only: It does not integrate volume, fundamentals, or external market influences. It’s engineered purely for price structure refinement.
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🎯 CONCLUSION
Hive Smoothing Average provides a high-performance, low-noise framework to view price with remarkable clarity. With its adaptive smoothing layers, bands support, and intelligent signal markers, it becomes a powerful tool to enhance your trend confidence and charting efficiency. By furnishing immediate, data-driven feedback on the market's core momentum and signaling critical turning points, it profoundly empowers traders to rapidly ascertain nascent market shifts and identify pivotal directional changes. Seamlessly integrate this sophisticated visual tool within your pre-existing technical analysis architecture to acquire a sharper, more insightful perspective, and fundamentally elevate your strategic acumen, optimizing your decision-making processes to a degree previously unattainable. It's about experiencing the market's true rhythm.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Smoothing Average" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
BeeQuant - Hive HeikinAshi💠 OVERVIEW
The "Hive HeikinAshi" is your ultimate tool for simplifying the chaotic world of price charts. Imagine a specialized lens that cuts through all the market "noise" – those tiny, confusing movements – and reveals the clear, underlying current of price action. This indicator transforms standard, sometimes choppy, candlestick charts into a powerful, trend-focused visualization. It’s designed to help every trader, whether you're a discretionary trader seeking cleaner structures or a quant enthusiast looking for visual cues to complement models, Hive HeikinAshi provides a simplified yet highly informative lens through which to read price action.
Its main advantage lies in its seamless compatibility with external indicators — offering a next-level smoothing foundation that enhances the clarity and reliability of any existing trend, momentum, or signal-based system layered on top of it.
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🧠 CONCEPTS
At its core, the "Hive HeikinAshi" isn't just another way to look at candles; it's a profound re-interpretation of price dynamics. It employs a sophisticated internal process to distill raw market movements into a more coherent, trend-identifying display, making the market's story incredibly easy to read.
The "Hive" Transformation: Unlike traditional candlesticks that show every small price fluctuation, the "Hive HeikinAshi" candles are intelligently constructed to smooth out the data. They are derived from a multi-point calculation process, creating a new, more consistent visual representation of price. This transformation helps to reduce the "visual clutter" and make trend following a much more intuitive experience. You'll see the forest, not just the trees.
⬜ Highlights dominant price direction by filtering reactive fluctuations
⬜ Visually separates impulsive vs corrective behavior with clear color transitions
⬜ Enables quicker discretionary recognition of trend shifts without complex overlays
⬜ Ideal for confirming momentum zones and stable trending phases
⬜ The Intelligent Filter. An optional yet powerful "Filter" mechanism has been integrated, providing an additional layer of analytical discernment.
⬜ Designed to integrate natively with trend-following, oscillator, or signal indicators — enabling amplified precision across diverse trading systems
A significant advantage of the "Hive HeikinAshi" is its inherent ability to minimize distracting "noise" from typical candle wicks. While standard candles can often show long, confusing wicks that obscure the true body direction, our specialized candles are engineered to emphasize the core directional move. This intelligent design allows you to focus on the momentum generated by the candle's body, rather than getting sidetracked by fleeting price extremes, thereby providing a cleaner, more reliable visual of trend strength.
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✨ FEATURES
Hive HeikinAshi includes several key features designed for both clarity and functionality:
🔹Multi-Bar Averaging
Generates a visually balanced candle structure using averaged pricing across configurable recent bars.
🔹 Wickless Visualization
Candles are rendered without upper/lower shadows, enhancing trend detection and reducing signal confusion.
🔹 Signal Filter
Adaptive color filter using a dynamic high/low lookback logic
🔹 Directional Color Coding
Clean green/red coloring helps instantly interpret bullish or bearish pressure.
🔹 Adjustable History Depth
Customize how many bars are considered in the smoothing process to match your style and timeframe.
🔹 Invisible Price Feed Outputs
Underlying smoothed OHLC values are available for custom strategies or overlays.
🔹Non-Repainting Logic for Historical Reliability
Each "Hive HeikinAshi" is plotted only when its internal reconstruction conditions are fully met and confirmed. This ensures that the historical display of HeikinAshi does not repaint, providing a high degree of reliability and trust in past signals and visualizations.
🔹Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Using Hive HeikinAshi is simple and effective:
📥 Add to Chart
Once access is granted, apply the indicator to any timeframe or asset directly from your TradingView invite-only indicators list.
⚙️ Tweak “No. of Bars”
This setting controls how far back the smoothing engine looks.
• Lower values = more responsive, shorter-term smoothing
• Higher values = steadier candles, better for macro trends
🎚️ Next, consider the "Filter" option:
Turn this on to activate the advanced filtering mechanism. Then, adjust the "lookback bars" (from 1 to 10). A smaller number here will make the filter more responsive to immediate "Hive HeikinAshi" candle extremes, while a larger number will require a more sustained breakout from the recent filtered range. Experiment to discover the optimal "sweet spot" that best reveals the underlying market flow for your specific strategy. The tooltip guides you to this optimal setting.
Disable "Filter": If turned off, the candles will revert to a more direct HeikinAshi coloration based purely on their calculated open and close, without the additional layer of range filtering.
🔍 Interpreting Candles
• 🟢 Green Candle: Bullish continuation zone
• 🔴 Red Candle: Bearish pressure dominates
• Lack of wick = strong directional conviction
Combine with your favorite indicators — Hive HeikinAshi acts as a foundation to reduce noise and enhance clarity across tools like EMAs, MACD, VWAP, and more.
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⚠️ LIMITATIONS
While Hive HeikinAshi provides clear visual advantages, it is important to understand its scope:
👉 Not a Signal Generator: This indicator excels at identifying and confirming trends, making it less suitable for pinpointing exact, high-frequency entry and exit points that require unadulterated real-time price. It prioritizes overall directional clarity.
👉 Lag by Design: Due to multi-bar data smoothing, candles reflect stable price behavior but not ultra-short-term fluctuations.
👉 No Volume or Macro Inputs: Hive HeikinAshi focuses purely on price structure — it does not include volume, news, or external conditions.
👉 Filter Calibration: While the "Filter" enhances clarity, its effectiveness is dependent on appropriate "lookback bars" calibration. Users should understand that adding filtering inherently balances responsiveness with a more refined signal, and finding the optimal setting is part of the analytical process.
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🎯 CONCLUSION
Hive HeikinAshi is a powerful visual companion for modern traders seeking smoother, clearer price trends. By combining directional clarity with reduced chart clutter, it allows you to interpret the market with less noise and more confidence. Seamlessly integrate this advanced visual tool within your analytical framework to gain a sharper, more confident perspective, and elevate your strategic decision-making in the markets. It's about seeing the unseen, with clarity.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive HeikinAshi" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
BeeQuant - Hive Visualizer💠 OVERVIEW
The " Hive Visualizer " is a game-changing, invite-only tool, expertly designed to give every trader, from beginner to experienced, instant and clear visual clues about what price is doing. Its main job is to easily show you the highest and lowest points price has reached recently. Think of it as a smart, automated helper that colors your candles to reveal powerful market moves. This helps you quickly see if prices are getting stronger or weaker right on your chart. It's a groundbreaking, high-quality tool that cuts through the noise, making it simple to spot key moments when the market is about to make a big move up or down, giving you an edge.
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🧠 CONCEPTS
The core philosophy behind Hive Visualizer is rooted in contextual volatility exposure and directional bias reinforcement. Through a sophisticated internal mechanism that evaluates local maxima/minima behavior within a compact temporal field, the indicator provides adaptive color‑based candle transitions that align with latent directional pressure.
1. Uses localized equilibrium breach detection to monitor directional intent and exhaustion points.
2. Embeds a dynamically updating framework that reacts to both trend continuation and structural reversals.
3. Avoids false positives by disregarding noisy fluctuations below system‑defined relevance thresholds.
4. Provides non‑repainting, fully forward‑confirmed visual outputs for reliable retrospective analysis.
Hive Visualizer is not designed to be predictive. Instead, it allows traders to observe the evolution of price structure in a cleaner and more digestible format, supporting high-confidence discretionary execution or automated model overlays.
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✨ FEATURES
The "Hive Visualizer" comes with a suite of smart features, all designed for amazing clarity, quick reactions, and deeper understanding, making your charting experience truly effortless:
🔹 Easy Range Customization
A super easy "Smoother" setting lets you perfectly adjust how the indicator reacts to recent price changes. This means you can fine-tune it to match exactly how you like to trade
🔹 Instant, Clear Signals
The simple Green and Red candles give you immediate, unmistakable visual cues about strong upward or downward moves, providing insights you can grasp in a heartbeat.
🔹 Smart Continuity in Quiet Times
The clever way it keeps the same color for candles that aren't breaking out offers valuable, subtle insights into those periods when the market is just moving sideways or finding its balance, helping you see the hidden dynamics.
🔹 Seamless Chart Integration
This indicator works like a transparent overlay, appearing directly on your price chart without getting in the way or changing your original candles. It fits perfectly, making your analysis smooth and uninterrupted.
🔹 Clean and Focused Visuals
The indicator’s simple design focuses only on coloring the main candle body and border to clearly highlight important breakouts. This keeps your chart clean and effective, showing you only what truly matters.
🔹 Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Using and making the "Hive Visualizer" a part of your trading routine is incredibly simple and designed to significantly boost how you understand the market:
Getting Started: Once you have access, just add the "Hive Visualizer" indicator to any chart and timeframe you want on TradingView. It's that easy.
Tuning the "Smoother" Setting: Go into the indicator's settings and play with the "Smoother" number. This is a crucial step to make it react just right for you.
Smaller numbers (like 1-3 bars) will make the indicator very quick to react to the most recent, short-term ups and downs, perfect for fast trading.
Larger numbers (like 5-10+ bars) will give you a wider view, smoothing out small changes and highlighting bigger, more important breakouts, ideal for longer-term analysis. Spend a little time trying different settings to find what works best for your chosen asset and your trading style – it's like finding the perfect lens for your market view.
Understanding the Colors: Once you've set it up, here's how to quickly understand what the "Hive Visualizer" is telling you: New Green Candle: This means a strong sign that buyers are in control and prices are likely to keep moving up, giving you confidence in bullish moves.
New Red Candle: This indicates as a strong signal that sellers are dominating and prices are likely to keep moving down, preparing you for bearish shifts.
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⚠️ LIMITATIONS
👉 Visual Guide, Not a Bot: Use as part of a broader strategy—it won’t auto‑trade for you
👉 Retroactive Insight: It reflects past price action; it doesn’t predict the future.
👉 Setting‑Dependent: Effectiveness relies on your “Smoother” choice—too low = noise; too high = lag.
👉 Price‑Range Focused: Highlights trends and range only — doesn’t analyze volume, news, or other complex factors.
👉 This tool enhances trend validation but isn’t a standalone signal generator.
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🎯 CONCLUSION
The "Hive Visualizer" offers an incredibly easy-to-use and adaptable way to see price strength and weakness with crystal clarity on your charts. By giving you instant, clear feedback on whether prices are powerfully breaking out or falling below a recent historical range, it truly empowers you to quickly understand market momentum and spot key turning points. Seamlessly add this smart visual tool into your current trading methods to gain a sharper, more insightful view, and elevate your trading decisions. It's about seeing the market with new eyes.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Visualizer" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
Pivot Liquidity Sweep [scalpmeister]📌 Pivot Liquidity Sweep
Scalp-oriented, liquidity sweep-based advanced signal and strategy indicator.
This indicator analyzes the price's sweeping of significant pivot levels and the subsequent breakouts to generate long/short signals based on different logics. It is sensitive to both classic sweep logic and strong reversal candles. Additionally, it visually marks liquidity gathering zones, offering excellent opportunities especially for scalp and intraday traders.
⚙️ Features and Strategy Types
🟢 Automatic Pivot Detection:
Pivot high/low levels are detected and stored based on the number of left and right bars.
🔴 Sweep Detection (Stop Hunt):
If the price violates a pivot level with a wick and closes inside, it is considered a sweep (liquidity cleaning). Strategies activate after this sweep.
🧠 5 Different Signal Styles:
SweepBreak:
It is expected that the extreme (high/low) level of the sweeping candle is broken with a close.
PivotBreak:
After the sweep, the first newly formed pivot in the trend direction is expected to break. (It is dynamically determined and drawn on the chart.)
StrongSweep:
It is sufficient if the candle following the sweep surpasses the previous candle with a single candle. No additional breakout is expected.
StrongCandle:
Strong momentum candles measured with a special RSI calculation are taken into account. It considers strong opposite-direction candles formed shortly after a pivot sweep.
ReversalCandleSweep:
Reversal candles that close in the opposite direction after a sweep (e.g., a red close on a sweep candle formed at the top or a green close at the bottom) are directly considered as signals.
📐 Technical Details:
Signals are triggered only once (triggered control).
Sweep lines (green/red), Long and Short lines (Orange)
Strong candles are filtered using an RSI-momentum-based measurement system (StrongCandle).
Sweep and breakout zones are dynamically invalidated. That is, if the zones are violated by the price, the signals and lines are automatically canceled.
🎯 Who Should Use It?
Professional traders working with liquidity zones
Scalp and intraday strategy practitioners
Those focused on stop hunts, sweeps, and reversal zones
🔔 Alert Support:
Sweep High / Low Alert
Long / Short Signal Alert
PriceLevels GBGoldbach Price Levels – Identify Algorithmic Key Zones
This open-source indicator is designed to help traders identify potential algorithmic key zones by highlighting price levels ending with specific numbers such as 03, 11, 29, 35, 65, and 71. These levels may act as inflection points or hesitation areas based on observed behavioral patterns in price movement.
What It Does:
📌 Scans and plots horizontal price levels where the price ends with one of the selected number combinations
🎯 Toggle on/off visibility for each number ending
🎨 Customize color and thickness for each level
🏷️ Shows price labels at the end of each line
🌗 Label styles (color/transparency) are adjustable for both dark and light chart themes
🧠 Why Use It:
This tool is ideal for discretionary traders who study market structure through static price anchors. It provides a visual reference for recurring numerical levels that may be used in algorithmic trading models or serve as psychological price zones.
⚠️ Disclaimer:
This script is open-source and intended for educational and analytical purposes only. No trading signals or performance guarantees are provided. Please use your own judgment when applying this tool in a trading context.
Algorithmic Candle Finder {Darkoexe}Algorithmic Candle Finder Indicator
Algorithmic candles are candles whose size and direction are significantly influenced by institutions or large players using market algorithms. These entities can move large amounts of capital in or out of the market, creating price moves that are often difficult for retail traders to predict or react to.
This can make short-term retail trading risky and inconsistent, especially when unaware of such institutional activity. The goal of this indicator is to help identify such candles, allowing traders to avoid trading during times of potential algorithmic influence.
Detection Criteria:
A candle is marked as algorithmic if either of the following conditions are met:
Size-Based Detection: If the current candle’s size exceeds the Average True Range (ATR) of the previous candle multiplied by the ATR factor input.
Volume-Based Detection: If the current candle’s volume exceeds the average volume of recent candles (e.g., last N candles) multiplied by the volume factor input.
When a candle is deemed algorithmic, a label saying "Algo!!!!!" will appear on the chart above the candle where the condition occurred.
Usage:
Use this indicator to study which times of day algorithmic candles frequently appear. This can help you adjust your strategy to avoid trading during these unpredictable moments.
Analogy:
Think of the market like the game Agar.io: small players (retail traders) collect small pellets to grow, while larger players (institutions) devour smaller ones. The small players must avoid the big ones to survive. Likewise, in trading, retail traders should aim to avoid high-impact algorithmic activity that could “consume” their trades.
Cumulative Intraday Volume with Long/Short LabelsThis indicator calculates a running total of volume for each trading day, then shows on the price chart when that total crosses levels you choose. Every day at 6:00 PM Eastern Time, the total goes back to zero so it always reflects only the current day’s activity. From that moment on, each time a new candle appears the indicator looks at whether the candle closed higher than it opened or lower. If it closed higher, the candle’s volume is added to the running total; if it closed lower, the same volume amount is subtracted. As a result, the total becomes positive when buyers have dominated so far today and negative when sellers have dominated.
Because futures markets close at 6 PM ET, the running total resets exactly then, mirroring the way most intraday traders think in terms of a single session. Throughout the day, you will see this running total move up or down according to whether more volume is happening on green or red candles. Once the total goes above a number you specify (for example, one hundred thousand contracts), the indicator will place a small “Long” label at that candle on the main price chart to let you know buying pressure has reached that level. Similarly, once the total goes below a negative number you choose (for example, minus one hundred thousand), a “Short” label will appear at that candle to signal that selling pressure has reached your chosen threshold. You can set these threshold numbers to whatever makes sense for your trading style or the market you follow.
Because raw volume alone never turns negative, this design uses candle direction as a sign. Green candles (where the close is higher than the open) add volume, and red candles (where the close is lower than the open) subtract volume. Summing those signed volume values tells you in a single number whether buying or selling has been stronger so far today. That number resets every evening, so it does not carry over any buying or selling from previous sessions.
Once you have this indicator on your chart, you simply watch the “summed volume” line as it moves throughout the day. If it climbs past your long threshold, you know buyers are firmly in control and a long entry might make sense. If it falls past your short threshold, you know sellers are firmly in control and a short entry might make sense. In quieter markets or times of low volume, you might use a smaller threshold so that even modest buying or selling pressure will trigger a label. During very active periods, a larger threshold will prevent too many signals when volume spikes frequently.
This approach is straightforward but can be surprisingly powerful. It does not rely on complex formulas or hidden statistical measures. Instead, it simply adds and subtracts daily volume based on candle color, then alerts you when that total reaches levels you care about. Over several years of historical testing, this formula has shown an ability to highlight moments when intraday sentiment shifts decisively from buyers to sellers or vice versa. Because the indicator resets every day at 6 PM, it always reflects only today’s sentiment and remains easy to interpret without carrying over past data. You can use it on any intraday timeframe, but it works especially well on five-minute or fifteen-minute charts for futures contracts.
If you want a clear gauge of whether buyers or sellers are dominating in real time, and you prefer a rule-based method rather than a complex model, this indicator gives you exactly that. It shows net buying or selling pressure at a glance, resets each session like most intraday traders do, and marks the moments when that pressure crosses the levels you decide are important. By combining a daily reset with signed volume, you get a single number that tells you precisely what the crowd is doing at any given moment, without any of the guesswork or hidden calculations that more complicated indicators often carry.
[Kpt-Ahab] Simple AlgoPilot Riskmgt and Backtest Simple AlgoPilot Riskmgt and Backtest
This script provides a compact solution for automated risk management and backtesting within TradingView.
It offers the following core functionalities:
Risk Management:
The system integrates various risk limitation mechanisms:
Percentage-based or trailing stop-loss
Maximum losing streak limitation
Maximum drawdown limitation relative to account equity
Flexible position sizing control (based on equity, fixed size, or contracts)
Dynamic repurchasing of positions ("Repurchase") during losses with adjustable size scaling
Supports multi-stage take-profit targets (TP1/TP2) and automatic stop-loss adjustment to breakeven
External Signal Processing for Backtesting:
In addition to its own moving average crossovers, the script can process external trading signals:
External signals are received via a source input variable (e.g., from other indicators or signal generators)
Positive values (+1) trigger long positions, negative values (–1) trigger short positions
This allows for easy integration of other indicator-based strategies into backtests
Additional Backtesting Features:
Selection between different MA types (SMA, EMA, WMA, VWMA, HMA)
Flexible time filtering (trade only within defined start and end dates)
Simulation of commission costs, slippage, and leverage
Optional alert functions for moving average crossovers
Visualization of liquidation prices and portfolio development in an integrated table
Note: This script is primarily intended for strategic backtesting and risk setting optimization.
Real-time applications should be tested with caution. All order executions, alerts, and risk calculations are purely simulation-based.
Explanation of Calculations and Logics:
1. Risk Management and Position Sizing:
The position size is calculated based on the user’s choice using three possible methods:
Percentage of Equity:
The position size is a defined fraction of the available capital, dynamically adjusted based on market price (riskPerc / close).
Fixed Size (in currency): The user defines a fixed monetary amount to be used per trade.
Contracts: A fixed number of contracts is traded regardless of the current price.
Leverage: The selected leverage multiplies the position size for margin calculations.
2. Trade Logic and Signal Triggering:
Trades can be triggered through two mechanisms:
Internal Signals:
When a fast moving average crosses above or below a slower moving average (ta.crossover, ta.crossunder). The type of moving averages (SMA, EMA, WMA, VWMA, HMA) can be freely selected.
External Signals:
Signals from other indicators can be received via an input source field.
+1 triggers a long entry, –1 triggers a short entry.
Position Management:
Once entered, the position is actively managed.
Multiple take-profit targets are set.
Upon reaching a profit target, the stop-loss can optionally be moved to breakeven.
3. Stop-Loss and Take-Profit Logic:
Stop-Loss Types:
Fixed Percentage Stop:
A fixed distance below/above the entry price.
Trailing Stop:
Dynamically adjusts as the trade moves into profit.
Fast Trailing Stop:
A more aggressive variant of trailing that reacts quicker to price changes.
Take-Profit Management:
Two take-profit targets (TP1 and TP2) are supported, allowing partial exits at different stages.
Remaining positions can either reach the second target or be closed by the stop-loss.
4. Repurchase Strategy ("Scaling In" on Losses):
If a position reaches a specified loss threshold (e.g., –15%), an automatic additional purchase can occur.
The position size is increased by a configurable percentage.
Repurchases happen only if an initial position is already open.
5. Backtesting Control and Filters:
Time Filters:
A trading period can be defined (start and end date).
All trades outside the selected period are ignored.
Risk Filters: Trading is paused if:
A maximum losing streak is reached.
A maximum allowed drawdown is exceeded.
6. Liquidation Calculation (Simulation Only):
The script simulates liquidation prices based on the account balance and position size.
Liquidation lines are drawn on the chart to better visualize potential risk exposure.
This is purely a visual aid — no real broker-side liquidation is performed.
Trendline Breaks with Multi Fibonacci Supertrend StrategyTMFS Strategy: Advanced Trendline Breakouts with Multi-Fibonacci Supertrend
Elevate your algorithmic trading with institutional-grade signal confluence
Strategy Genesis & Evolution
This advanced trading system represents the culmination of a personal research journey, evolving from my custom " Multi Fibonacci Supertrend with Signals " indicator into a comprehensive trading strategy. Built upon the exceptional trendline detection methodology pioneered by LuxAlgo in their " Trendlines with Breaks " indicator, I've engineered a systematic framework that integrates multiple technical factors into a cohesive trading system.
Core Fibonacci Principles
At the heart of this strategy lies the Fibonacci sequence application to volatility measurement:
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval = 0.01, step = 0.01)
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval = 0.01, step = 0.01)
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval = 0.01, step = 0.01)
These precise Fibonacci ratios create a dynamic volatility envelope that adapts to changing market conditions while maintaining mathematical harmony with natural price movements.
Dynamic Trendline Detection
The strategy incorporates LuxAlgo's pioneering approach to trendline detection:
// Pivotal swing detection (inspired by LuxAlgo)
pivot_high = ta.pivothigh(swing_length, swing_length)
pivot_low = ta.pivotlow(swing_length, swing_length)
// Dynamic slope calculation using ATR
slope = atr_value / swing_length * atr_multiplier
// Update trendlines based on pivot detection
if bool(pivot_high)
upper_slope := slope
upper_trendline := pivot_high
else
upper_trendline := nz(upper_trendline) - nz(upper_slope)
This adaptive trendline approach automatically identifies key structural market boundaries, adjusting in real-time to evolving chart patterns.
Breakout State Management
The strategy implements sophisticated state tracking for breakout detection:
// Track breakouts with state variables
var int upper_breakout_state = 0
var int lower_breakout_state = 0
// Update breakout state when price crosses trendlines
upper_breakout_state := bool(pivot_high) ? 0 : close > upper_trendline ? 1 : upper_breakout_state
lower_breakout_state := bool(pivot_low) ? 0 : close < lower_trendline ? 1 : lower_breakout_state
// Detect new breakouts (state transitions)
bool new_upper_breakout = upper_breakout_state > upper_breakout_state
bool new_lower_breakout = lower_breakout_state > lower_breakout_state
This state-based approach enables precise identification of the exact moment when price breaks through a significant trendline.
Multi-Factor Signal Confluence
Entry signals require confirmation from multiple technical factors:
// Define entry conditions with multi-factor confluence
long_entry_condition = enable_long_positions and
upper_breakout_state > upper_breakout_state and // New trendline breakout
di_plus > di_minus and // Bullish DMI confirmation
close > smoothed_trend // Price above Supertrend envelope
// Execute trades only with full confirmation
if long_entry_condition
strategy.entry('L', strategy.long, comment = "LONG")
This strict requirement for confluence significantly reduces false signals and improves the quality of trade entries.
Advanced Risk Management
The strategy includes sophisticated risk controls with multiple methodologies:
// Calculate stop loss based on selected method
get_long_stop_loss_price(base_price) =>
switch stop_loss_method
'PERC' => base_price * (1 - long_stop_loss_percent)
'ATR' => base_price - long_stop_loss_atr_multiplier * entry_atr
'RR' => base_price - (get_long_take_profit_price() - base_price) / long_risk_reward_ratio
=> na
// Implement trailing functionality
strategy.exit(
id = 'Long Take Profit / Stop Loss',
from_entry = 'L',
qty_percent = take_profit_quantity_percent,
limit = trailing_take_profit_enabled ? na : long_take_profit_price,
stop = long_stop_loss_price,
trail_price = trailing_take_profit_enabled ? long_take_profit_price : na,
trail_offset = trailing_take_profit_enabled ? long_trailing_tp_step_ticks : na,
comment = "TP/SL Triggered"
)
This flexible approach adapts to varying market conditions while providing comprehensive downside protection.
Performance Characteristics
Rigorous backtesting demonstrates exceptional capital appreciation potential with impressive risk-adjusted metrics:
Remarkable total return profile (1,517%+)
Strong Sortino ratio (3.691) indicating superior downside risk control
Profit factor of 1.924 across all trades (2.153 for long positions)
Win rate exceeding 35% with balanced distribution across varied market conditions
Institutional Considerations
The strategy architecture addresses execution complexities faced by institutional participants with temporal filtering and date-range capabilities:
// Time Filter settings with flexible timezone support
import jason5480/time_filters/5 as time_filter
src_timezone = input.string(defval = 'Exchange', title = 'Source Timezone')
dst_timezone = input.string(defval = 'Exchange', title = 'Destination Timezone')
// Date range filtering for precise execution windows
use_from_date = input.bool(defval = true, title = 'Enable Start Date')
from_date = input.time(defval = timestamp('01 Jan 2022 00:00'), title = 'Start Date')
// Validate trading permission based on temporal constraints
date_filter_approved = time_filter.is_in_date_range(
use_from_date, from_date, use_to_date, to_date, src_timezone, dst_timezone
)
These capabilities enable precise execution timing and market session optimization critical for larger market participants.
Acknowledgments
Special thanks to LuxAlgo for the pioneering work on trendline detection and breakout identification that inspired elements of this strategy. Their innovative approach to technical analysis provided a valuable foundation upon which I could build my Fibonacci-based methodology.
This strategy is shared under the same Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license as LuxAlgo's original work.
Past performance is not indicative of future results. Conduct thorough analysis before implementing any algorithmic strategy.
