Super-AO with Risk Management Strategy Template - 11-29-25Super-AO Strategy with Advanced Risk Management Template
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
Welcome to the Super-AO Strategy. This is more than just a buy/sell indicator; it is a complete, open-source Risk Management (RM) Template designed for the Pine Script community.
At its core, this script implements a robust swing-trading strategy combining the SuperTrend (for macro direction) and the Awesome Oscillator (for momentum). However, the real power lies under the hood: a custom-built Risk Management Engine that handles trade states, prevents repainting, and manages complex exit conditions like Staged Take Profits and Advanced Adaptive Trailing Stops (AATS).
We are releasing this code to help traders transition from simple indicators to professional-grade strategy structures.
2. Quick Action Guide (TL;DR)
Best Timeframe: 4 Hours (H4) and above. Designed for Swing Trading.
Best Assets: "Well-behaved" assets with clear liquidity (Major Forex pairs, BTC, ETH, Indices).
Strategy Type: Trend Following + Momentum Confirmation.
Key Feature: The Risk Management Engine is modular. You can strip out the "Super-AO" logic and insert your own strategy logic into the template easily.
Repainting: Strictly Non-Repainting. The engine calculates logic based on confirmed candle closes.
3. Detailed Report: How It Works
A. The Strategy Logic: Super-AO
The entry logic is based on the convergence of two classic indicators:
SuperTrend: Determines the overall trend bias (Green/Red).
Awesome Oscillator (AO): Measures market momentum.
The Signal:
LONG (+2): SuperTrend is Green AND AO is above the Zero Line AND AO is Rising.
SHORT (-2): SuperTrend is Red AND AO is below the Zero Line AND AO is Falling.
By requiring momentum to agree with the trend, this system filters out many false signals found in ranging markets.
B. The Risk Management (RM) Engine
This script features a proprietary State Machine designed by Signal Lynx. Unlike standard strategies that simply fire orders, this engine separates the Signal from the Execution.
Logic Injection: The engine listens for a specific integer signal: +2 (Buy) or -2 (Sell). This makes the code a Template. You can delete the Super-AO section, write your own logic, and simply pass a +2 or -2 to the RM_EngineInput variable. The engine handles the rest.
Trade States: The engine tracks the state of the trade (Entry, In-Trade, Exiting) to prevent signal spamming.
Aggressive vs. Conservative:
Conservative Mode: Waits for a full trend reversal before taking a new trade.
Aggressive Mode: Allows for re-entries if the trend is strong and valid conditions present themselves again (Pyramiding Type 1).
C. Advanced Exit Protocols
The strategy does not rely on a single exit point. It employs a "Layered Defense" approach:
Hard Stop Loss: A fixed percentage safety net.
Staged Take Profits (Scaling Out): The script allows you to set 3 distinct Take Profit levels. For example, you can close 10% of your position at TP1, 10% at TP2, and let the remaining 80% ride the trend.
Trailing Stop: A standard percentage-based trailer.
Advanced Adaptive Trailing Stop (AATS): This is a highly sophisticated volatility stop. It calculates market structure using Hirashima Sugita (HSRS) levels and Bollinger Bands to determine the "floor" and "ceiling" of price action.
If volatility is high: The stop loosens to prevent wicking out.
If volatility is low: The stop tightens to protect profit.
D. Repainting Protection
Many Pine Script strategies look great in backtesting but fail in live trading because they rely on "real-time" price data that disappears when the candle closes.
This Risk Management engine explicitly pulls data from the previous candle close (close , high , low ) for its calculations. This ensures that the backtest results you see match the reality of live execution.
4. For Developers & Modders
We encourage you to tear this code apart!
Look for the section titled // Super-AO Strategy Logic.
Replace that block with your own RSI, MACD, or Price Action logic.
Ensure your logic outputs a 2 for Buy and -2 for Sell.
Connect it to RM_EngineInput.
You now have a fully functioning Risk Management system for your custom strategy.
5. About Signal Lynx
Automation for the Night-Shift Nation 🌙
This code has been in action since 2022 and is a known performer in PineScript v5. We provide this open source to help the community build better, safer automated systems.
If you are looking to automate your strategies, please take a look at Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please release them back to the community!
In den Scripts nach "backtesting" suchen
Double MOST with Pivot and EMAMOST Long Strategy with Multi-Filter Confirmation (Pivot + VAR Trend Filter)
This strategy combines a custom MOST stop-line structure with a moving average trend filter (EMA / VAR / ZLMA), daily pivot levels, and a 9-period VAR filter to generate clean long-only entries.
It aims to capture early trend continuations while avoiding reversals and false breakouts.
✔ Buy Conditions
A long position is opened only if all of the conditions below occur simultaneously:
MA (ort) > MOST Line (s2)
– Confirms that momentum is on the long side.
Price > Daily Pivot (pvt_gun)
– Ensures the market is trading above the day’s fair-value level.
Price > VAR(9)
– Short-term VAR filter to confirm trend strength and reduce noise.
Only the first bar where all conditions turn true generates a position.
✔ Sell Condition
A long position is closed when:
MOST Line (s2) crosses above MA (ort)
– Indicates a momentum shift against the long position.
✔ Execution Style (MetaStock-like)
Strategy operates long-only
Orders are filled on the next bar open, not on the signal bar
Commission: 0.03% (3 bps / on-binde 3)
Position size: 100% of equity per trade
This makes the behavior comparable to classical MetaStock backtesting logic.
✔ Chart Markers
Only actual trade entries and exits are drawn
No repeated signals or overlapping markers
Clean visual trade history
Purpose
This strategy is ideal for traders who want:
A structured long-only trend model
A multi-layer confirmation filter
Clean execution without repaint
High-quality entries above market structure levels
Daily Protocol [#] by @shulktrades@shulktrades aka Shulkins aka shulk
Open Source Script created from the code “ICT Everything” by @coldbrewrosh
*Adjusted Key Times and Standard Deviations to better fit my model*
Daily Protocol Indicator - Description
Overview
The Daily Protocol indicator is a comprehensive trading tool designed to help traders identify and visualize key intraday time-based levels and sessions for forex and other markets. This indicator automatically marks important market opening times, session ranges, and standard deviation projections to assist in technical analysis and trade planning.
Key Features
Time-Based Vertical Lines
Midnight Open (00:00): Marks the start of each trading day
News Open (08:30): Highlights the typical economic news release time
NY AM Open (09:30): Identifies the US equity market opening
Opening Price Lines
Midnight Opening Price: Tracks the price at market day start
News Opening Price (08:30): Shows the price level at news time
NY AM Opening Price (09:30): Displays equity market open price
Afternoon Opening Price (13:30): Optional afternoon session marker
Weekly & Monthly Opening Prices: Higher timeframe reference levels
Session Range Boxes
London Session (LNDN): 02:00-05:00 range with optional standard deviation projections
Asian Session (ASIA): 20:00-00:00 range with optional standard deviation projections
NY AM Session (NYAM): 09:30-10:00 range with optional standard deviation projections
Standard Deviation Projections
Automatically calculates and displays 1-4 standard deviation levels based on session ranges
Configurable directional display (both sides, upside only, or downside only)
Helps identify potential target zones and reversal areas
Additional Features
Day of Week Labels: Clearly marks each trading day
Customizable Timezone: Supports multiple global timezones
Historical Lines Toggle: Option to show/hide past levels for cleaner charts
Terminus Settings: Control how far price lines extend into the future
Color Customization: Full control over all colors, line styles, and widths
Range Statistics Table: Displays current session ranges and pip counts (forex only)
Best Use Cases
Identifying overnight key times and structure before market opens for NY
Planning entries around major session times
Setting targets using standard deviation projections
Understanding market structure through time-based analysis
Backtesting strategies based on session behavior
Timeframe Recommendation
Works best on intraday timeframes (1-60 minutes). The indicator automatically hides on timeframes above 61 minutes to prevent chart clutter.
Customization
Extensive settings allow traders to:
Enable/disable any individual component
Adjust all colors, line styles, and widths
Control label display and formatting
Set timezone preferences
Configure standard deviation calculations
Choose which sessions and times to display
This indicator is ideal for traders who follow time-based trading methodologies and want to incorporate structured intraday analysis into their workflow.
ICT/SMC Holy GrailThe Holy Grail, with its backtesting feature to check win rates, is all you need to do when placing orders!
Price Channel ScalpingMy X account：@CTF_bule_lotus
1. Core Logic (Price Channel Breakout)
The strategy relies on a single, simple indicator: the highest high of the past 20 bars.
When the current price breaks above this 20-period high, a stop entry is used to initiate a long position.
This design avoids prediction.
The model waits for the market to demonstrate momentum before participating.
2. Trade Direction (Long Only)
The strategy exclusively trades long positions and does not take shorts.
This choice is based on:
ETH’s historically upward-biased structure
Avoiding noise from two-sided signals during high-volatility periods
Keeping the direction consistent, which is beneficial for scalping-style systems
3. Risk Management (Fixed TP / SL)
Immediately after entry, the strategy sets two fixed exit conditions:
Take Profit: +10 price units
Stop Loss: –10 price units
Both are automatically converted using the market’s minimum tick size to ensure cross-instrument applicability.
This fixed TP/SL structure is typical in scalping systems:
small wins, fast exits, controlled losses, high turnover.
4. Transaction Costs
A 0.03% fee is applied to every trade throughout the entire backtest.
This fee level reflects the cost structure of major centralized exchanges, making results closer to real-world conditions.
5. Data & Time Range (2016–2025 Full Sample)
The backtest uses ETH’s complete historical dataset from 2016 to 2025.
No subjective filtering is applied—large moves, flash crashes, and black-swan events are all included.
The strategy does not rely on heavy parameter tuning, reducing the risk of overfitting.
6. Backtest Results (Including Fees)
Under this fixed, rule-based structure, the cumulative return is:
1,202,002.77% (2016 → 2025)
Even after including transaction fees, performance is driven by:
High trade frequency and small profit targets
Strict loss containment
Capturing momentum during breakout regimes
7. Transparency & Reproducibility
I will publish the full Pine Script implementation, including:
Entry logic
Exit logic
Fee configuration
All parameters
Backtesting framework
Transparency and reproducibility remain the core principles of this research.
Dual MTF Confirmed Trend Strategy (5m Entry / 15m MACD & RSI) v1That is a detailed Dual Multi-Timeframe (MTF) Confirmed Trend Strategy written in Pine Script for TradingView. The core idea of this strategy is to only take entry signals on a faster timeframe (5-minute) when the trend is strongly confirmed on a slower, higher timeframe (15-minute). This aims to reduce false signals and trade in the direction of the dominant trend. Here is an explanation of how the strategy works, broken down by section:
1. 5-Minute Entry Filters 🚀This section calculates several indicators on the current 5-minute chart to identify potential trade setups. A position is only considered if all 5-minute conditions align.
Supertrend: A trend-following indicator based on Average True Range (ATR).
Long Condition: The closing price must be above the Supertrend line.
Short Condition: The closing price must be below the Supertrend line.
Gann Hi-Lo (GHL): A trend indicator using Simple Moving Averages (SMA) of the high and low prices. GHL Line: Switches between the SMA of the Highs and the SMA of the Lows based on price action.
Long Condition: The closing price must be above the GHL line.
Short Condition: The closing price must be below the GHL line.
Exponential Moving Averages (EMAs): It uses a 50-period EMA and a 100-period EMA to confirm the short-term trend direction.
Long Condition: The closing price must be above both the 50 EMA and the 100 EMA.
Short Condition: The closing price must be below both the 50 EMA and the 100 EMA.
2. 15-Minute MTF Confirmation Filters ⏳This is the crucial step where the strategy verifies the trend on the slower, 15-minute timeframe using the request security function. This step acts as a gatekeeper to ensure the 5-minute trade aligns with the larger trend.
MACD Histogram (12, 26, 9): The difference between the MACD Line and the Signal Line.
Long Confirmation: The 15m MACD Histogram must be greater than 0 (MACD line is above the Signal line, indicating bullish momentum).
Short Confirmation: The 15m MACD Histogram must be less than 0 (MACD line is below the Signal line, indicating bearish momentum).
RSI (Relative Strength Index) (14): A momentum oscillator. The 50 level is often used to determine the general market trend.
Long Confirmation: The 15m RSI must be greater than 50 (indicating stronger bullish momentum).
Short Confirmation: The 15m RSI must be less than 50 (indicating stronger bearish momentum).
The Total 15m Confirmation is only true if both the MACD and the RSI confirmation signals align.
3. Trade Orders (Entry Logic) ⚖️
The strategy only executes a trade when the 5-minute entry conditions are met AND the 15-minute confirmation conditions are met.
Final Long Condition:
5m Conditions (Supertrend, GHL, EMA alignment) AND
15m Confirmation (MACD Hist > 0 AND RSI > 50)
Final Short Condition:
5m Conditions (Supertrend, GHL, EMA alignment) AND
15m Confirmation (MACD Hist < 0 AND RSI < 50)
When a trade signal is generated, the strategy:
Closes any opposite position (e.g., closes a "Short" trade if a "Long" signal appears).
Enters the new position (e.g., enters a "Long" trade).
This is designed as a reversal strategy where a new entry automatically closes the previous opposing trade.
In Summary
The strategy operates on a principle of Trend Alignment:
5-Minute Chart: Is used for Signal Timing (when exactly to enter the market).
15-Minute Chart: Is used for Trend Validation (is the overall market momentum supporting the signal?).
It's an attempt to capture short-term moves (5m signals) that are backed by strong medium-term momentum (15m confirmation), thereby aiming for higher probability trades.
This is not investment advice; it is recommended to perform optimization and backtesting for the assets intended for implementation.
Omega Correlation [OmegaTools]Omega Correlation (Ω CRR) is a cross-asset analytics tool designed to quantify both the strength of the relationship between two instruments and the tendency of one to move ahead of the other. It is intended for traders who work with indices, futures, FX, commodities, equities and ETFs, and who require something more robust than a simple linear correlation line.
The indicator operates in two distinct modes, selected via the “Show” parameter: Correlation and Anticipation. In Correlation mode, the script focuses on how tightly the current chart and the chosen second asset move together. In Anticipation mode, it shifts to a lead–lag perspective and estimates whether the second asset tends to behave as a leader or a follower relative to the symbol on the chart.
In both modes, the core inputs are the chart symbol and a user-selected second symbol. Internally, both assets are transformed into normalized log-returns: the script computes logarithmic returns, removes short-term mean and scales by realized volatility, then clips extreme values. This normalisation allows the tool to compare behaviour across assets with different price levels and volatility profiles.
In Correlation mode, the indicator computes a composite correlation score that typically ranges between –1 and +1. Values near +1 indicate strong and persistent positive co-movement, values near zero indicate an unstable or weak link, and values near –1 indicate a stable anti-correlation regime. The composite score is constructed from three components.
The first component is a normalized return co-movement measure. After transforming both instruments into normalized returns, the script evaluates how similar those returns are bar by bar. When the two assets consistently deliver returns of similar sign and magnitude, this component is high and positive. When they frequently diverge or move in opposite directions, it becomes negative. This captures short-term co-movement in a volatility-adjusted way.
The second component focuses on high–low swing alignment. Rather than looking only at closes, it examines the direction of changes in highs and lows for each bar. If both instruments are printing higher highs and higher lows together, or lower highs and lower lows together, the swing structure is considered aligned. Persistent alignment contributes positively to the correlation score, while repeated mismatches between the swing directions reduce it. This helps differentiate between superficial price noise and structural similarity in trend behaviour.
The third component is a classical Pearson correlation on closing prices, computed over a longer lookback. This serves as a stabilising backbone that summarises general co-movement over a broader window. By combining normalized return co-movement, swing alignment and standard price correlation with calibrated weights, the Correlation mode provides a richer view than a single linear measure, capturing both short-term dynamic interaction and longer-term structural linkage.
In Anticipation mode, Omega Correlation estimates whether the second asset tends to lead or lag the current chart. The output is again a continuous score around the range. Positive values suggest that the second asset is acting more as a leader, with its past moves bearing informative value for subsequent moves of the chart symbol. Negative values indicate that the second asset behaves more like a laggard or follower. Values near zero suggest that no stable lead–lag structure can be identified.
The anticipation score is built from four elements inspired by quantitative lead–lag and price discovery analysis. The first element is a residual lead correlation, conceptually similar to Granger-style logic. The script first measures how much of the chart symbol’s normalized returns can be explained by its own lagged values. It then removes that component and studies the correlation between the residuals and lagged returns of the second asset. If the second asset’s past returns consistently explain what the chart symbol does beyond its own autoregressive behaviour, this residual correlation becomes significantly positive.
The second element is an asymmetric lead–lag structure measure. It compares the strength of relationships in both directions across multiple lags: the correlation of the current symbol with lagged versions of the second asset (candidate leader) versus the correlation of lagged values of the current symbol with the present values of the second asset. If the forward direction (second asset leading the first) is systematically stronger than the backward direction, the structure is skewed toward genuine leadership of the second asset.
The third element is a relative price discovery score, constructed by building a dynamic hedge ratio between the two prices and defining a spread. The indicator looks at how changes in each asset contribute to correcting deviations in this spread over time. When the chart symbol tends to do most of the adjustment while the second asset remains relatively stable, it suggests that the second asset is taking a greater role in determining the equilibrium price and the chart symbol is adjusting to it. The difference in adjustment intensity between the two instruments is summarised into a single score.
The fourth element is a breakout follow-through causality component. The script scans for breakout events on the second asset, where its price breaks out of a recent high or low range while the chart symbol has not yet done so. It then evaluates whether the chart symbol subsequently confirms the breakout direction, remains neutral, or moves against it. Events where the second asset breaks and the first asset later follows in the same direction add positive contribution, while failed or contrarian follow-through reduce this component. The contribution is also lightly modulated by the strength of the breakout, via the underlying normalized return.
The four elements of the Anticipation mode are combined into a single leading correlation score, providing a compact and interpretable measure of whether the second asset currently behaves as an effective early signal for the symbol you trade.
To aid interpretation, Omega Correlation builds dynamic bands around the active series (correlation or anticipation). It estimates a long-term central tendency and a typical deviation around it, plotting upper and lower bands that highlight unusually high or low values relative to recent history. These bands can be used to distinguish routine fluctuations from genuinely extreme regimes.
The script also computes percentile-based levels for the correlation series and uses them to track two special price levels on the main chart: lost correlation levels and gained correlation levels. When the correlation drops below an upper percentile threshold, the current price is stored as a lost correlation level and plotted as a horizontal line. When the correlation rises above a lower percentile threshold, the current price is stored as a gained correlation level. These levels mark zones where a historically strong relationship between the two markets broke down or re-emerged, and can be used to frame divergence, convergence and spread opportunities.
An information panel summarises, in real time, whether the second asset is behaving more as a leading, lagging or independent instrument according to the anticipation score, and suggests whether the current environment is more conducive to de-alignment, re-alignment or classic spread behaviour based on the correlation regime. This makes the tool directly interpretable even for users who are not familiar with all the underlying statistical details.
Typical applications for Omega Correlation include intermarket analysis (for example, index vs index, commodity vs related equity sector, FX vs bonds), dynamic hedge sizing, regime detection for algorithmic strategies, and the identification of lead–lag structures where a macro driver or benchmark can be monitored as an early signal for the instrument actually traded. The indicator can be applied across intraday and higher timeframes, with the understanding that the strength and nature of relationships will differ across horizons.
Omega Correlation is designed as an advanced analytical framework, not as a standalone trading system. Correlation and lead–lag relationships are statistical in nature and can change abruptly, especially around macro events, regime shifts or liquidity shocks. A positive anticipation reading does not guarantee that the second asset will always move first, and a high correlation regime can break without warning. All outputs of this tool should be combined with independent analysis, sound risk management and, when appropriate, backtesting or forward testing on the user’s specific instruments and timeframes.
The intention behind Omega Correlation is to bring techniques inspired by quantitative research, such as normalized return analysis, residual correlation, asymmetric lead–lag structure, price discovery logic and breakout event studies, into an accessible TradingView indicator. It is intended for traders who want a structured, professional way to understand how markets interact and to incorporate that information into their discretionary or systematic decision-making processes.
Advanced Trading System - Volume Profile + BB + RSI + FVG + FibAdvanced Multi-Indicator Trading System with Volume Profile, Bollinger Bands, RSI, FVG & Fibonacci
Overview
This comprehensive trading indicator combines five powerful technical analysis tools into one unified system, designed to identify high-probability trading opportunities with precision entry and exit signals. The indicator integrates Volume Profile analysis, Bollinger Bands, RSI momentum, Fair Value Gaps (FVG), and Fibonacci retracement levels to provide traders with a complete market analysis framework.
Key Features
1. Volume Profile & Point of Control (POC)
Automatically calculates the Point of Control - the price level with the highest trading volume
Identifies Value Area High (VAH) and Value Area Low (VAL)
Updates dynamically based on customizable lookback periods
Helps identify key support and resistance zones where institutional traders are active
2. Bollinger Bands Integration
Standard 20-period Bollinger Bands with customizable multiplier
Identifies overbought and oversold conditions
Measures market volatility through band width
Signals generated when price approaches extreme levels
3. RSI Momentum Analysis
14-period Relative Strength Index with visual background coloring
Overbought (70) and oversold (30) threshold alerts
Integrated into buy/sell signal logic for confirmation
Real-time momentum tracking in info dashboard
4. Fair Value Gap (FVG) Detection
Automatically identifies bullish and bearish fair value gaps
Visual representation with colored boxes
Highlights imbalance zones where price may return
Used for high-probability entry confirmation
5. Fibonacci Retracement Levels
Auto-calculated based on recent swing high/low
Key levels: 23.6%, 38.2%, 50%, 61.8%, 78.6%
Perfect for identifying profit-taking zones
Dynamic lines that update with market movement
6. Smart Signal Generation
The indicator generates BUY and SELL signals based on multi-condition confluence:
BUY Signal Requirements:
Price near lower Bollinger Band
RSI in oversold territory (< 30)
High volume confirmation (optional)
Bullish FVG or POC alignment
SELL Signal Requirements:
Price near upper Bollinger Band
RSI in overbought territory (> 70)
High volume confirmation (optional)
Bearish FVG or POC alignment
7. Automated Take Profit Levels
Three dynamic profit targets: 1%, 2%, and 3%
Automatically calculated from entry price
Visual markers on chart
Individual alerts for each level
8. Comprehensive Alert System
The indicator includes 10+ alert types:
Buy signal alerts
Sell signal alerts
Take profit level alerts (TP1, TP2, TP3)
Fibonacci level cross alerts
RSI overbought/oversold alerts
Bullish/Bearish FVG detection alerts
9. Real-Time Info Dashboard
Live display of all key metrics
Color-coded for quick visual analysis
Shows RSI, BB Width, Volume ratio, POC, Fib levels
Current signal status (BUY/SELL/WAIT)
How to Use
Setup
Add the indicator to your chart
Adjust parameters based on your trading style and timeframe
Set up alerts by clicking "Create Alert" and selecting desired conditions
Recommended Timeframes
Scalping: 5m - 15m
Day Trading: 15m - 1H
Swing Trading: 4H - Daily
Parameter Customization
Volume Profile Settings:
Length: 100 (adjust for more/less historical data)
Rows: 24 (granularity of volume distribution)
Bollinger Bands:
Length: 20 (standard period)
Multiplier: 2.0 (adjust for tighter/wider bands)
RSI Settings:
Length: 14 (standard momentum period)
Overbought: 70
Oversold: 30
Fibonacci:
Lookback: 50 (swing high/low detection period)
Signal Settings:
Volume Filter: Enable/disable volume confirmation
Volume MA Length: 20 (for volume comparison)
Trading Strategy Examples
Strategy 1: Trend Reversal
Wait for BUY signal at lower Bollinger Band
Confirm with bullish FVG or POC support
Enter position
Take partial profits at Fib 38.2% and 50%
Exit remaining position at TP3 or SELL signal
Strategy 2: Breakout Confirmation
Monitor price approaching POC level
Wait for volume spike
Enter on signal confirmation with FVG alignment
Use Fibonacci levels for scaling out
Strategy 3: Range Trading
Identify POC as range midpoint
Buy at lower BB with oversold RSI
Sell at upper BB with overbought RSI
Use FVG zones for additional confirmation
Best Practices
✅ Do:
Use multiple timeframe analysis
Combine with price action analysis
Set stop losses below/above recent swing points
Scale out at Fibonacci levels
Wait for volume confirmation on signals
❌ Don't:
Trade every signal blindly
Ignore overall market context
Use on extremely low timeframes without testing
Neglect risk management
Trade during low liquidity periods
Risk Management
Always use stop losses
Risk no more than 1-2% per trade
Consider market conditions and volatility
Scale position sizes based on signal strength
Use the volume filter for additional confirmation
Technical Specifications
Pine Script Version: 6
Overlay: Yes (displays on main chart)
Max Boxes: 500 (for FVG visualization)
Max Lines: 500 (for Fibonacci levels)
Alerts: 10+ customizable conditions
Performance Notes
This indicator works best in:
Trending markets with clear momentum
High-volume trading sessions
Assets with good liquidity
When multiple signals align
Less effective in:
Extremely choppy/sideways markets
Low-volume periods
During major news events (high volatility)
Updates & Support
This indicator is actively maintained and updated. Future enhancements may include:
Additional volume profile features
More sophisticated FVG tracking
Enhanced alert customization
Backtesting integration
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own research and consider consulting with a financial advisor before making trading decisions. Trading involves substantial risk of loss.
🏛️ Inst. Value SuiteInstitutional Valuation Suite (IVS)
Executive Summary Traditional volatility indicators frequently exhibit limitations when applied to long-term secular growth assets. Because they calculate volatility in absolute currency units rather than percentage terms, standard deviation bands often distort or become obsolete during phases of exponential price expansion (e.g., significant capitalization shifts in Crypto or Growth Stocks).
The Institutional Valuation Suite addresses this latency by utilizing Geometric (Log-Normal) Standard Deviation. This methodology enables the model to adapt dynamically to the asset's price scale, providing statistically significant valuation zones regardless of price magnitude.
Operational Theory The model operates as a mean-reversion instrument, visualizing price action as a dynamic deviation from a "Fair Value" baseline. It quantifies statistical extremes to identify when an asset is overextended (Speculative Premium) or undervalued (Deep Discount) relative to historical volatility.
Key Features
1. Log-Normal Volatility Engine
Geometric Mode (Default): Calculates volatility in percentage terms. This is the requisite setting for assets exhibiting logarithmic growth, such as Cryptocurrencies and Technology equities.
Arithmetic Mode: Retains linear calculation methods for Forex pairs or range-bound assets where traditional standard deviation is preferred.
2. Valuation Heatmap
Visualizes valuation metrics directly onto price candles to mitigate subjective interpretation bias.
GREEN: Deep Value / Accumulation Zone (<−0.5σ).
ORANGE: Overvaluation / Premium Zone (>2.0σ).
RED: Speculative Anomaly Zone (>3.0σ).
3. Mean Reversion Signals
VALUE RECLAIM: Triggers when price re-enters the lower deviation band from below. This confirms support validation and filters out premature entries during high-momentum drawdowns.
TOP EXIT: Triggers when price breaks down from the upper speculative zone, signaling a potential trend exhaustion.
4. Statistical Dashboard
Displays a real-time Z-Score to quantify the standard deviations the current price is from its baseline.
>3.0: Statistical Anomaly (upper bound).
<−0.5: Statistical Discount (lower bound).
Configuration & Parameters
Per your requirements, the suggested code tooltips for your inputs are listed below.
Cycle Length
Determines the lookback period used to calculate the Fair Value baseline.
Crypto Macro: 200 (Approx. 4 Years).
Altcoins: 100 (Approx. 2 Years).
Equities (S&P 500): 50 (1 Year Trend).
Intraday: Set "Timeframe Lock" to "Chart".
Tooltip Text: "Sets the lookback period for the baseline calculation. Recommended: 200 for Crypto Macro, 50 for Equities, or adjust based on the asset's specific volatility cycle."
Timeframe Lock
Allows the user to fix the calculation to a specific timeframe or allow it to float with the chart.
Tooltip Text: "Locks the calculation to a specific timeframe (e.g., Daily, Weekly) to ensure baseline consistency when zooming into lower timeframes."
Technical Integrity
This indicator employs strict strict offset logic (barmerge.lookahead_on) to ensure historical data integrity. The signals rendered on historical bars are mathematically identical to those that would have appeared in a real-time environment, ensuring backtesting reliability.
Disclaimer: This script provides statistical analysis based on historical volatility metrics and does not constitute financial advice.
FPT - Key Levels with VWAP🔶 FPT – Key Levels with VWAP
This indicator combines multi-session VWAP, higher-timeframe key levels, market structure (HH/HL/LH/LL), and liquidity zones into one clean intraday tool.
Designed for scalping, day-trading, and session-based strategies such as Asia → London → New York flows.
🔵 Features
1. Multi-Session VWAP
Asia VWAP
London VWAP
New York VWAP
Daily reset
Optional deviations & clean mode
2. Key Levels (HTF SR Zones)
Automatically detects:
Previous Day High / Low
4H / 1H Key Levels
Session High / Low
Midpoints
Equal Highs & Equal Lows (liquidity lines)
3. Market Structure Engine
Swing points (HH, HL, LH, LL)
Break of Structure (BOS)
Market Structure Shift (MSS)
Optional minimal mode showing only breaks
4. Liquidity Tools
Buyside & sellside liquidity zones
Range high / low liquidity
Optional void / imbalance zones
5. Clean Visualization Mode
Removes unnecessary text
Shows only the essential levels
Perfect for chart posting or backtesting
🟩 Use Cases
Intraday key level mapping
VWAP deviation → mean reversion setups
Liquidity sweep → BOS/MSS setups
Session volatility filtering
Scalping and fast execution planning
⚠️ Disclaimer
This script does not provide financial advice.
It is for educational and analytical purposes only.
All trading decisions are solely your responsibility.
Simple Grid Trading v1.0 [PUCHON]Simple Grid Trading v1.0
Overview
This is a Long-Only Grid Trading Strategy developed in Pine Script v6 for TradingView. It is designed to profit from market volatility by placing a series of Buy Limit orders at predefined price levels. As the price drops, the strategy accumulates positions. As the price rises, it sells these positions at a profit.
Features
Grid Types : Supports both Arithmetic (equal price spacing) and Geometric (equal percentage spacing) grids.
Flexible Order Management : Uses strategy.order for precise control and prevents duplicate orders at the same level.
Performance Dashboard : A real-time table displaying key metrics like Capital, Cashflow, and Drawdown.
Advanced Metrics : Includes Max Drawdown (MaxDD) , Avg Monthly Return , and CAGR calculations.
Customizable : Fully adjustable price range, grid lines, and lot size.
Dashboard Metrics
The dashboard (default: Bottom Right) provides a quick snapshot of the strategy's performance:
Initial Capital : The starting capital defined in the strategy settings.
Lot Size : The fixed quantity of assets purchased per grid level.
Avg. Profit per Grid : The average realized profit for each closed trade.
Cashflow : The total realized net profit (closed trades only).
MaxDD : Maximum Drawdown . The largest percentage drop in equity (realized + unrealized) from a peak.
Avg Monthly Return : The average percentage return generated per month.
CAGR : Compound Annual Growth Rate . The mean annual growth rate of the investment over the specified time period.
Strategy Settings (Inputs)
Grid Settings
Upper Price : The highest price level for the grid.
Lower Price : The lowest price level for the grid.
Number of Grid Lines : The total number of levels (lines) in the grid.
Grid Type :
Arithmetic: Distance between lines is fixed in price terms (e.g., $10, $20, $30).
Geometric: Distance between lines is fixed in percentage terms (e.g., 1%, 2%, 3%).
Lot Size : The fixed amount of the asset to buy at each level.
Dashboard Settings
Show Dashboard : Toggle to hide/show the performance table.
Position : Choose where the dashboard appears on the chart (e.g., Bottom Right, Top Left).
How It Works
Initialization : On the first bar, the script calculates the price levels based on your Upper/Lower price and Grid Type.
Entry Logic :
The strategy places Buy Limit orders at every grid level below the current price.
It checks if a position already exists at a specific level to avoid "stacking" multiple orders on the same line.
Exit Logic :
For every Buy order, a corresponding Sell Limit (Take Profit) order is placed at the next higher grid level.
MaxDD Calculation :
The script continuously tracks the highest equity peak.
It calculates the drawdown on every bar (including intra-bar movements) to ensure accuracy.
Displayed as a percentage (e.g., 5.25%).
Disclaimer
This script is for educational and backtesting purposes only. Grid trading involves significant risk, especially in strong trending markets where the price may move outside your grid range. Always use proper risk management.
SPY/QQQ Customizable Price ConverterThis is a minimalist utility tool designed for Index traders (SPX, NDX, RUT). It allows you to monitor the price of a reference asset (like SPY, QQQ) directly on your main chart without cluttering your screen.
Key Features:
1.🖱️ Crosshair Sync for Historical Data (Highlight): Unlike simple info tables that only show the latest price, this script allows for historical inspection.
· How it works: Simply move your mouse crosshair over ANY historical candle on your chart.
· The script will instantly display the closing price of the reference asset (e.g., SPY) for that specific time in the Status Line (top-left) or the Data Window. Perfect for backtesting and reviewing price action.
2.🔄 Fully Customizable Ticker: Default is set to SPY, but you can change it to anything in the settings.
e.g.
· Trading NDX Change it to QQQ.
· Trading RUT Change it to IWM.
3.📊 Clean Real-Time Dashboard:
· A floating table displays the current real-time price of your reference asset.
· Color-coded text (Green/Red) indicates price movement.
· Fully customizable size, position, and colors to fit your layout.
15m ORB Breakout NAS100 (5m Mgmt) v6 - OptimizedOpening Range Breakout Strategy
Buy and sell signals are given upon break of market session opening range. Best utilized for 30 minute NY opening range, managed on 5 min timeframe on NAS100. Tweak the settings for higher win rate on backtesting dashboard before implementing strategy.
Delta Signals NO REPINTA (FINAL)📢 New Indicator: Delta Signals NO REPAINT 🔥
Introducing my new indicator based on Order Flow Delta, designed to provide buy and sell signals with absolutely NO repainting — perfect for scalping, day trading, or swing trading.
This tool combines two powerful components:
✅ Order Flow Delta — Measures the real strength between buyers and sellers
✅ Smart Trend Filter — Only shows signals in the direction of the dominant trend
Together, they deliver cleaner, more accurate and more reliable signals, with clear entry markers on the chart and a delta histogram revealing real market pressure.
🚀 What’s Included?
🔹 Buy/Sell signals with NO repaint
🔹 Intelligent delta calculation
🔹 Trend filter using moving average
🔹 Clear labels on entry points
🔹 Visual delta histogram
🔹 Works great on Crypto, Forex, Indices & Stocks
🔹 Very lightweight and fast on TradingView
🎯 Why is it powerful?
Because it doesn't rely on lagging indicators — it reads the actual imbalance between buyers and sellers, often detecting strong moves before traditional indicators do.
This type of analysis is used by professional order flow traders, but now you have it on your TradingView chart in a simple, visual format.
🔥 Perfect for:
Scalpers who need precision
Day traders working breakouts and pullbacks
Swing traders seeking strong confirmations
Traders who want clean, NO-repaint signals
If you want a version with automatic TP/SL, alerts, or full backtesting, I can publish that as well.
Just let me know. 🚀📈
BybitMinOrderSizeBybit Order Quantity Compliance Library
This library provides all utility functions required for TradingView strategies
that execute orders on Bybit via webhooks.
Problem:
Bybit enforces two strict rules on every order submitted:
Minimum Order Size – each symbol has its own minimum quantity.
Quantity Precision – each symbol requires rounding to the correct number of decimals.
TradingView does not expose this metadata, so strategies can easily submit
quantities that Bybit rejects as invalid.
Solution (This Library):
This library embeds full Bybit contract metadata, including:
A complete mapping of Bybit symbols → minimum order size
A complete mapping of Bybit symbols → allowed precision (decimal places)
A helper to normalize tickers (removing `.P` suffix for Bybit perpetuals)
It also exposes utility functions to automatically make your quantities valid:
`normalizeTicker()` — removes `.P` for consistent lookup
`getMinOrderSize()` — returns the correct minimum order size
`getPrecisionForTicker()` — returns required quantity precision
`floorQty()` — floors quantities to valid minimum increments
`roundQty()` — rounds quantities to valid decimal precision
Use Cases:
Ensuring webhook strategies never send too-small orders
Rounding limit/market orders correctly before execution
Making Pine strategies execution-accurate for Bybit
Avoiding "order rejected: qty too small / invalid precision" errors
This library is recommended for:
Live trading via TradingView → Bybit webhooks
Backtesting strategies that simulate real Bybit constraints
Source: www.bybit.com
Updated: 2025-11-25 — Bybit contract metadata
normalizeTicker(symbol)
Normalizes Bybit perpetual tickers by removing the ".P" suffix.
precisionFromMinOrder(minOrder)
Derives precision (decimal places) from minimum order size.
getMinOrderSize(symbol)
Retrieves the minimum order size for the current or given symbol.
getPrecisionForTicker(symbol)
Retrieves the required quantity precision (decimal places) for a given Bybit symbol.
floorQty(qty, symbol)
Rounds a quantity down to the nearest valid minimum order size for a given symbol.
roundQty(qty, symbol)
Rounds a quantity to the valid precision for the specified symbol.
Momentum Grid 2.1 + Top Stocks📊 MOMENTUM GRID 2.1 + TOP STOCKS
Overview
A multi-timeframe confirmation system specifically designed for NIFTY 50 and BANK NIFTY index options trading. This script combines 8 independent technical indicators into a weighted scoring model to generate high-probability CE (Call) and PE (Put) signals, while simultaneously tracking the top 5 constituent stocks for sector-wide momentum validation.
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🎯 Core Methodology
1. 8-Factor Confirmation System
Unlike traditional single-indicator approaches, this script requires multiple confirmations before generating signals. Each factor votes independently:
Trend Alignment (3 votes):
• C1: Price above/below EMA 9 (immediate trend)
• C2: EMA 9 above/below EMA 20 (short-term momentum)
• C3: EMA 20 above/below EMA 50 (intermediate trend)
Oscillator Confirmation (3 votes):
• C4: RSI above/below 50 (momentum strength)
• C5: Stochastic K above/below D (entry timing)
• C6: MACD Histogram positive/negative (momentum direction)
Advanced Momentum (2 votes):
• C7: Parabolic SAR position (trend continuation)
• C8: Squeeze Momentum direction (volatility expansion)
Mathematical Logic:
Bullish Score = C1 + C2 + C3 + C4 + C5 + C6 + C7 + C8
Signal Triggered when Score ≥ Threshold (default: 5/8)
Why This Works: By requiring 5+ confirmations, the script filters out false signals that occur when only 1-2 indicators align by chance. This dramatically reduces whipsaws in choppy markets.
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📈 Constituent Stock Analysis System
Real-Time Top 5 Stocks Tracking
The script fetches live data from the most heavily-weighted stocks in the selected index:
NIFTY 50 Constituents:
• Reliance Industries
• HDFC Bank
• Infosys
• ICICI Bank
• TCS
BANK NIFTY Constituents:
• HDFC Bank
• ICICI Bank
• Kotak Mahindra Bank
• State Bank of India
• Axis Bank
Stock Scoring Algorithm (0-6 Scale):
For each stock, the script calculates a momentum score based on:
1. Price vs EMA 9 position
2. EMA 9 vs EMA 20 relationship
3. EMA 20 vs EMA 50 hierarchy
4. RSI above/below 50
5. MACD histogram direction
6. Intraday price change direction
Signal Interpretation:
• 🚀🔥 Strong Bullish: Score ≥5 + Day Change >0.5%
• ⚠️❄️ Strong Bearish: Score ≤1 + Day Change <-0.5%
• 📈 Moderate Bullish: Score ≥3 + Positive change
• 📉 Moderate Bearish: Score ≤3 + Negative change
Why Track Constituents?
Index options are a weighted average of their components. When 4 out of 5 top stocks show strong bullish signals but the index signal is neutral, it indicates:
• Sector rotation is happening
• Underlying strength not yet reflected in index
• Early warning for potential index breakout
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🎨 Visual Dashboard System
1. Main Momentum Grid (Middle Right)
Real-time status of all 8 confirmation factors:
• Individual indicator values
• Bullish/Bearish status per indicator
• Cumulative Bull Score and Bear Score
• Visual color coding (Green = Bullish, Red = Bearish)
2. Top Stocks Status Panel (Top Right)
Live tracking table showing:
• LTP (Last Traded Price): Current stock price
• Day Change %: Intraday movement from open
• Status: Overall bullish/bearish trend
• EMA Status: Position relative to EMA 9
• Signal Emoji: Visual strength indicator
3. Scenario Guide (Bottom Right)
Auto-calculates trade parameters based on current signal:
• Side: CE (Call) or PE (Put) recommendation
• Strike Reference: Current index price
• Trigger Level: Entry confirmation level (high/low of signal bar)
• Risk Limit: Stop loss using 1.5x ATR
• Price Objective: Target using 2.5x ATR
ATR-Based Risk Management: Average True Range (14-period) adapts stop-loss and targets to current volatility, ensuring consistent risk-reward ratios across different market conditions.
________________________________________
🚨 Signal Generation Logic
CE (Call) Signal Triggers When:
1. Bullish Score ≥ Threshold (5/8 default)
2. Previous bar Bullish Score < Threshold
3. Confirmation candle closes above EMA 9
4. Background turns light green
PE (Put) Signal Triggers When:
1. Bearish Score ≥ Threshold (5/8 default)
2. Previous bar Bearish Score < Threshold
3. Confirmation candle closes below EMA 9
4. Background turns light red
Signal Validation: Labels appear only when a new qualifying bar completes, preventing repainting. The tooltip shows the exact score and entry price for record-keeping.
________________________________________
🔧 Customization Options
Parameter Purpose Recommendation
Index Selection Choose NIFTY 50 or BANK NIFTY Match to your trading instrument
EMA Periods Adjust trend sensitivity Default (9/20/50/100) suits 5-15 min
Signal Threshold Min confirmations required 5/8 (balanced), 6/8 (conservative)
RSI Length Momentum calculation period 14 (standard), 21 (smoother)
MACD Settings Fast/Slow/Signal periods 12/26/9 (industry standard)
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📊 Technical Indicator Details
Exponential Moving Averages (EMA)
• Why EMA vs SMA: Exponential weighting gives more importance to recent price action, making it more responsive to trend changes in fast-moving index options.
Relative Strength Index (RSI)
• Measures momentum on 0-100 scale
• 50 level acts as bull/bear dividing line
• Used for confirmation, not overbought/oversold
Stochastic Oscillator
• Compares closing price to recent range
• K line crossing above D line = bullish momentum shift
• Sensitive to short-term reversals
MACD (Moving Average Convergence Divergence)
• Histogram shows momentum acceleration/deceleration
• Positive histogram = increasing bullish momentum
• Used as tiebreaker when other signals conflict
Parabolic SAR
• Tracks stop-and-reverse points
• Dots below price = uptrend, above = downtrend
• Adds trend-following confirmation
Squeeze Momentum
• Identifies periods of low volatility (consolidation)
• Bollinger Bands inside Keltner Channels = "squeeze"
• Positive momentum during squeeze = bullish breakout setup
________________________________________
💡 What Makes This Script Unique
1. Index-Specific Design: Unlike generic multi-timeframe indicators, this is purpose-built for NIFTY/BANKNIFTY options with constituent stock correlation analysis.
2. Multi-Layer Validation: Combines price action (EMAs), momentum (RSI/Stoch/MACD), and volatility (Squeeze) for comprehensive market assessment.
3. Smart Constituent Tracking: Automatically switches stock universe based on selected index, providing sector-level context that single-chart indicators miss.
4. Adaptive Risk Management: ATR-based stop-loss and targets adjust to market volatility automatically, unlike fixed-point systems.
5. No Repainting: All calculations use confirmed bars with lookahead=barmerge.lookahead_off parameter, ensuring historical backtesting accuracy.
________________________________________
📚 Best Practices
Timeframe Selection:
• 5 min: Scalping (high frequency, tight stops)
• 15 min: Intraday swing trades (balanced)
• 1 hour: Positional option trades (overnight holds)
Trade Execution:
1. Wait for CE/PE label to appear
2. Check Top Stocks Status - look for 3+ stocks confirming index direction
3. Verify Scenario Guide shows acceptable risk-reward (min 1:1.5)
4. Enter on next candle open or use trigger level for limit orders
5. Place stop-loss at "Risk Limit" level
6. Scale out at "Price Objective" or trail with Parabolic SAR
False Signal Filters:
• Avoid signals during first 15 minutes of market open (high volatility)
• Skip signals when Top Stocks show conflicting directions (3 bull, 2 bear)
• Increase threshold to 6/8 during major news events
• Disable trading 30 minutes before important announcements
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⚠️ Limitations & Considerations
• Index Options Specific: Optimized for NIFTY/BANKNIFTY - may need recalibration for other instruments
• Not Suitable for Trending Markets: Works best in swing/range conditions; reduce threshold in strong trends
• Constituent Data Dependency: Relies on accurate real-time stock data; verify broker data quality
• Options Greeks Ignored: Script doesn't account for theta decay, IV changes - user must manage option selection
________________________________________
🔔 Built-In Alerts
Set alerts for:
• CE Signal Generated: Bullish score crosses threshold
• PE Signal Generated: Bearish score crosses threshold
Alert messages include ticker symbol and entry price for quick execution.
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📈 Performance Optimization Tips
1. Score Correlation Check: If Bull Score and Bear Score are both high (6+/8), market is conflicted - wait for resolution.
2. Stock Divergence Strategy: When 4/5 stocks are bullish but index shows PE signal, it often indicates a false breakdown - counter-trend opportunity.
3. Squeeze Breakout Combo: Strongest signals occur when Squeeze changes from "ON" to "OFF" simultaneously with CE/PE trigger.
4. EMA Stacking: Maximum confidence signals have all three EMAs in proper order (9>20>50 for bull, reverse for bear).
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🎓 Educational Context
This methodology synthesizes:
• Multi-Timeframe Analysis: EMAs represent different trend horizons
• Oscillator Convergence: Multiple momentum tools reduce false positives
• Index Arbitrage Concepts: Constituent tracking exploits pricing inefficiencies
• Adaptive Volatility: ATR-based risk scales with market conditions
The 8-factor system mirrors institutional decision frameworks where analysts require consensus across multiple models before position changes.
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📋 Quick Reference
Bullish Setup Checklist: ✅ Bull Score ≥ 5/8
✅ Green background color
✅ 3+ top stocks showing 📈 or 🚀
✅ Price above EMA 9
✅ MACD Histogram positive
Bearish Setup Checklist: ✅ Bear Score ≥ 5/8
✅ Red background color
✅ 3+ top stocks showing 📉 or ⚠️
✅ Price below EMA 9
✅ MACD Histogram negative
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⚖️ Disclaimer
This indicator is a decision support tool, not an automated trading system. Index options involve substantial risk and can result in total loss of premium paid. The constituent stock analysis provides context but does not guarantee index price movement. Users must:
• Understand options Greeks (delta, theta, vega)
• Use proper position sizing (max 2-3% capital per trade)
• Never trade based on signals alone without market context
• Comply with SEBI regulations and broker policies
Past performance of signals does not guarantee future results.
________________________________________
Version: Pine Script v6
Supported Indices: NIFTY 50, BANK NIFTY
Resource Usage: Moderate (Multi-security data requests)
Update Frequency: Real-time on current timeframe
________________________________________
For support or suggestions, please comment below. If this script helps your trading, please like and follow for updates! 🚀📊
Marcaj Ore 07:00 și 18:00 (Stabil v2)For backtesting and remember times that you can be active in the market.
Oracle Protocol — Arch Public (Testing Clone) Oracle Protocol — Arch Public Series (testing clone)
This model implements the Arch Public Oracle structure: a systematic accumulation-and-distribution engine built around a dynamic Accumulation Cost Base (ACB), strict profit-gate exit logic, and a capital-bounded flywheel reinvestment system.
It is designed for transparent execution, deterministic behaviour, and rule-based position management.
Core Function Set
1. Accumulation Framework (ACB-Driven)
The accumulation engine evaluates market movement against defined entry conditions, including:
Percentage-based entry-drop triggers
Optional buy-below-ACB mode
Capital-gated entries tied to available ledger balance
Fixed-dollar and min-dollar entry rules (as seen in Arch public materials)
Automated sizing through flywheel capital
Range-bounded ledger for controlled backtesting input
Each qualifying buy updates the live ACB, maintains the internal ledger, and forms the next reference point for exit evaluation.
No forecasting mechanisms are included.
2. Profit-Gate Exit System
Exits are governed by the standard Arch public approach:
A sealed ACB reference for threshold evaluation
Optional live-ACB visibility
Profit-gate triggers defined per asset class
Candle-confirmation integration (“ProfitGate + Candle” mode)
Distribution only when the smallest active threshold is met
This provides a consistent cadence with published Arch diagrams and PDFs.
3. Once-Per-Rally Governance
After a distribution, the algorithm locks until price retraces below the most recent accumulation base.
Only after re-arming can the next profit gate activate.
This prevents over-frequency selling and aligns with the public-domain Oracle behaviour.
4. Quiet-Bars & Threshold Cluster Control
A volatility-stabilisation layer prevents multiple exits from micro-fluctuations or transient spikes.
This ensures clean execution during fast markets and high volatility.
5. Flywheel Reinvestment
Distribution proceeds automatically return to the capital pool where permitted, creating a closed system of:
Entry sizing
Exit proceeds
Ledger-managed capital state
All sizing respects capital boundaries and does not breach dollar floors or overrides.
6. Automation Hooks and Integration
The script exposes:
3Commas-compatible JSON sizing
Entry/exit signalling via alertcondition()
Deterministic event reporting suitable for external automation
This allows consistent deployment across automated execution environments.
7. Visual Tooling
Optional displays include:
Live ACB line
Exit-guide markers
Capital, state, and ledger panels
Realized/unrealized outcome tracking based on internal logic only
Visual components do not influence execution rules.
Operating Notes
This model is rule-based, deterministic, and non-predictive.
It executes only according to the explicit thresholds, capital limits, and state transitions defined within the script.
No discretionary or forward-looking logic is included.
Simple Line📌 Understanding the Basic Concept
The trend reverses only when the price moves up or down by a fixed filter size.
It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold.
Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend).
⚙️ Explanation of Settings
Auto Brick Size: Automatically determines the brick/filter size.
Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.).
Volatility Length: The lookback period used for calculations (default: 14).
📈 Example of Identifying Buy Timing
When the line changes from gray or red to green, it signals the start of an uptrend.
This indicates that the price has moved upward by more than the required threshold.
📉 Example of Identifying Sell Timing
When the line changes from green to red, it suggests a possible downtrend reversal.
At this point, consider closing long positions or evaluating short entries.
🧪 Recommended Use Cases
Use as a trend filter to enhance the accuracy of existing strategies.
Can be used alone as a clean directional indicator without complex oscillators.
Works synergistically with trend-following strategies, breakout strategies, and more.
🔒 Notes & Cautions
More suitable for medium- to long-term trend trading than for fast scalping.
If the brick size is too small, the indicator may react to noise.
Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values.
❗ The Trend Simple Line focuses solely on direction—remove the noise and focus purely on the trend.
초대 전용 스크립트
이 스크립트에 대한 접근이 제한되어 있습니다. 사용자는 즐겨찾기에 추가할 수 있지만 사용하려면 사용자의 권한이 필요합니다. 연락처 정보를 포함하여 액세스 요청에 대한 명확한 지침을 제공해 주세요.
이 비공개 초대 전용 스크립트는 스크립트 모더레이터의 검토를 거치지 않았으며, 하우스 룰 준수 여부는 확인되지 않았습니다. 트레이딩뷰는 스크립트의 작동 방식을 충분히 이해하고 작성자를 완전히 신뢰하지 않는 이상, 해당 스크립트에 비용을 지불하거나 사용하는 것을 권장하지 않습니다. 커뮤니티 스크립트에서 무료 오픈소스 대안을 찾아보실 수도 있습니다.
작성자 지시 사항
.
c9indicator
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니
Paulinho Signals – Cripto 5m/15m com Filtro de LateralidadeThis script is an automated Pine Script v6 strategy designed for short-term cryptocurrency trading, especially on 5-minute and 15-minute timeframes. It combines moving average crossovers, trend strength (ADX), volatility (ATR), and candlestick patterns to generate buy and sell signals with a fixed risk/reward management system.
How to Use:
- Apply to cryptocurrency charts on 5m or 15m timeframes.
- Adjust parameters to fit your preferences (EMA, RSI, ADX, ATR).
- Use for backtesting or as a decision-support tool.
Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Always test on demo accounts before applying to live trading.
Multi Timeframe Bollinger Bands Spectrum [Ata]Multi-Timeframe Bollinger Bands Spectrum
Technical Overview
This script integrates multi-timeframe volatility analysis with volume-derived order flow estimation. By combining Bollinger Bands (statistical deviation) with internal candle volume logic, the indicator qualifies price movements to differentiate between sustained trends, reversals, and exhaustion events.
The system is designed to provide a structural context for price action, visualizing market regimes through a dual-zone spectrum and filtering signals based on the interaction between price location and specific volume thresholds.
Core Logic & Calculation
1. Volume Decomposition Algorithm
Instead of using total volume, the script estimates Buying Pressure vs. Selling Pressure based on the close position relative to the candle's High/Low range:
- Buying Volume (vb): Increases as the close approaches the High.
- Selling Volume (vs): Increases as the close approaches the Low.
This logic allows the detection of directional flow even within standard volume bars.
2. Statistical Spectrum
The indicator renders deviations from the Basis (SMA) as two distinct zones:
- Bullish Zone (Blue): Price positioning between the Basis and Upper Band.
- Bearish Zone (Red): Price positioning between the Basis and Lower Band.
This structure is applied across multiple timeframes (overlay) to visualize the macro trend context without noise.
3. Non-Repainting Execution
To ensure historical accuracy and reliability for backtesting, all higher-timeframe data is requested using "lookahead_off". Signals are confirmed only upon the closure of the respective timeframe's candle.
Signal Definitions
Signals are generated only when specific Volatility and Volume conditions intersect:
Reversal Setups (Reaction to Liquidity)
- WALL: Triggered when price rejects the Upper Band accompanied by Extreme Selling Volume (vs > Limit). This suggests active limit sell orders absorbing the rally.
- FLOOR: Triggered when price rejects the Lower Band accompanied by Extreme Buying Volume (vb > Limit). This suggests active limit buy orders absorbing the drop.
- ABSORP: Identifies absorption near the lower bands where selling pressure is met with passive buying (indicated by lower wicks and relative buy volume).
Momentum Setups (Trend Continuation)
- POWER: Validates a breakout above the Upper Band only if supported by Dominant Buying Volume and a strong candle body.
- PANIC: Validates a breakdown below the Lower Band only if supported by Dominant Selling Volume.
- TRAP: Marks failed breakouts where price exits the bands but volume analysis contradicts the move (e.g., low directional volume).
Exhaustion Setups (Statistical Extremes)
- CLIMAX/CRASH: Identifies anomalies where price deviates significantly from the mean (Extreme Deviation) or when volume reaches unsustainable levels relative to the average, often preceding a mean reversion.
Input Parameters
- Bollinger Logic: Configuration for Length and Standard Deviation Multiplier.
- Volume Thresholds: Adjustable factors for Minimum Volume (Trend) and Extreme Volume (Reversal/Climax).
- Timeframe Layers: Toggle visibility for up to 5 higher timeframes.
- Theme: Adjusts label contrast for Dark/Light backgrounds.
Disclaimer
This indicator is strictly for analytical purposes. It provides a visualization of past market data based on statistical and volumetric formulas. Users should apply their own risk management protocols.
MTF Scalper - alemicihanMulti-Timeframe Scalper Strategy: Aligning the Big Picture for Quick Gains
This article presents a robust futures trading strategy designed for high-frequency scalping in the crypto market. It’s built on the principle of minimizing risk by ensuring that short-term entries are always aligned with the dominant, higher-timeframe trend.
The Core Concept: Alignment is Key
A Balanced Trend Follower approach, now refined for rapid scalping, uses a Multi-Timeframe (MTF) confirmation system to filter out market noise and increase the probability of a successful trade.
The strategy operates on a Low Timeframe (LTF) chart (e.g., 3m, 5m, or 15m) but only executes trades if the direction is validated by three Higher Timeframes (HTF).
ComponentPurposeFunctionHTF (D, 4h, 1h) EMA => Trend Confirmation =>Checks if the current price is above/below all three Exponential Moving Averages (EMA 20). This provides a strong directional bias.
LTF (5m) Stochastic RSI => Momentum Entry => Generates the actual buy/sell signal by spotting a swift crossover, indicating fresh momentum in the direction of the confirmed HTF trend.
How The Signal Is Generated
Trend Alignment: The system first confirms the trend. If the price is trading above the Daily, 4-Hour, and 1-Hour EMAs, the market is deemed to be in a Strong LONG Trend. Only LONG signals are permitted.
Momentum Trigger: Once the trend is confirmed, a Long Signal is generated only when the Stochastic K-Line crosses above the D-Line, indicating a momentum shift (a pullback ending) towards the main trend direction.
Short Signal: The inverse logic applies to the Short Trend confirmation and entry signal.
Mandatory Risk Management: ATR-Based Exit
Given the high leverage nature of futures and scalping, static Stop-Loss (SL) and Take-Profit (TP) levels are inefficient. This strategy uses the Average True Range (ATR) indicator to dynamically set profit and loss targets based on current market volatility.
Stop Loss (SL): Set dynamically at 1.5 x ATR below (for long) or above (for short) the entry price. This gives the trade enough room to breathe without risking excessive capital.
Take Profit (TP): Set dynamically at 3.0 x ATR, establishing a robust Risk-to-Reward Ratio of 1:2.
Final Thoughts on Testing
This sophisticated approach combines the reliability of MTF analysis with the speed of momentum indicators. However, data analysis is key. Backtesting these parameters (EMA, ATR Multipliers, RSI/Stochastic lengths) on your chosen asset (like BTC/USDT or ETH/USDT) and timeframe is crucial to achieving optimal performance.
Multi-Timeframe TTM Squeeze Pro with alerts and screenersBased of John Carters TTM Squeeze. Must open the settings and select wether you want to match the timeframe in your chart. This must be done in the pinescreener as well otherwise results will not be correct.
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# **Squeeze Momentum Pro – Enhanced Screener + EMA Cross Alerts**
This custom version of the Squeeze Momentum indicator expands the standard TTM-style squeeze with screening and automated alert logic so you can quickly find high-quality setups across many tickers.
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## **What This Script Does**
This indicator plots a three-level squeeze visual similar to TTM Squeeze:
Dot meanings in this indicator
Orange dot:
Strongest squeeze – Bollinger Bands are inside the tightest Keltner level (highest volatility compression).
Red dot:
Medium squeeze – still compressed, but not as tight as orange.
Black dot:
Weak squeeze / lowest level of volatility compression.
Price is coiling, but not as tight as the higher levels.
Green dot (“Fired”):
Squeeze has released — Bollinger Bands have expanded out of the channels and momentum is moving.
A momentum histogram is plotted to show directional pressure during the squeeze.
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## **Major Improvements Added**
### **① Screenable Conditions for Stock Scanners**
This version includes multiple `alertcondition()` flags so the script can be used as a **Pine Screener inside TradingView**.
Currently it can screen for:
✔ Price closing above the 50-SMA
✔ Presence of an **orange (strong) squeeze dot**
✔ 6/20 EMA crossover signals inside a squeeze
These can be used inside the TradingView Screener or in watchlists to automatically highlight qualifying tickers.
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### **② 6/20 EMA Trend Signals (Filtered by Squeeze)**
A crossover system was added:
* **Bullish Signal:** 6 EMA crosses above 20 EMA
* **Bearish Signal:** 6 EMA crosses below 20 EMA
But **these signals only trigger if the market is in a red or orange squeeze**, which helps remove noise and focus on valid setups.
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### **③ Visual Markers Under the Histogram**
Whenever an EMA crossover occurs during a squeeze:
* A **green up-triangle** is plotted for a bullish cross
* A **red down-triangle** for a bearish cross
These markers are drawn **below the histogram**, keeping the display clean while still providing quick visual cues.
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### **④ Fully Non-Repainting Logic**
All signals and squeeze calculations are based on standard fully-resolved `ta.*` functions, making the results stable both in backtesting and real-time.
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## **Who This Script Helps**
This version is ideal for:
* Traders who use TradingView’s screener and want automated breakout/continuation filtering
* Traders who scan large watchlists for squeeze setups
* Users who want trend confirmation during volatility compression
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## **How to Use It**
1. Add the script to your chart
2. Open TradingView Alerts or Screener
3. Select the conditions you want, for example:
* *“Orange Squeeze Detected”*
* *“Squeeze Fire after 3 squeeze dots*
* *“4 REd Dots in a row.”*
* *“Buy Alert”*
* *“EMA 6/20 Bullish Crossover (Squeeze Only)”*
* *“Close Above 50 SMA”*
Once active, TradingView will automatically flag symbols that meet the criteria.
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## **Summary**
This enhanced Squeeze Momentum indicator turns the standard TTM-style visual into a **true screening and alert system** by adding:
* Multi-level squeezes
* EMA trend signals
* Screener-compatible alert conditions
* Clean visual signals
* Non-repainting logic
It helps traders quickly locate high-probability setups across any watchlist or market.
