Market ContextMarket Context is a context-based trading indicator designed to evaluate entry conditions , not to blindly follow signals.
The indicator combines:
trend
momentum
strength of movement
volatility
volume
multi-timeframe context
and presents them in a clear and structured decision-making table.
What the indicator does
analyzes the market across multiple dimensions
separates valid trading conditions from noise and chop
shows when an entry is justified and when it is better to stay out
does not repaint
suitable for manual trading and as a foundation for algorithmic logic
Core idea
Context first — entry second.
The indicator does not say “buy” or “sell” without conditions.
It shows how prepared the market is for continuation.
Table modes
Data Mode shows the current market state:
active signal (Strong / Early / Neutral)
ADX and its dynamics
momentum (Oscillator)
DI dominance
AI Bias (aggregated assessment)
volume and volatility
HTF context
multi-timeframe Supertrend grid
Help Mode displays a checklist of entry conditions:
separate rules for LONG and SHORT
what allows an entry
what blocks an entry
visual representation without formulas or overload
This mode is designed primarily for learning and beginners.
Multi-timeframe context
The indicator takes into account:
the local timeframe
higher timeframe (HTF)
direction and alignment between timeframes
This helps avoid entries:
against the higher-timeframe trend
during low-liquidity / night chop
in weakening momentum
Important
This indicator is not a trading recommendation.
It is not intended for one-click automated trading.
Best results are achieved when combined with:
market structure
key levels
understanding of time-of-day and liquidity conditions
Who this indicator is for
traders tired of noisy signal-based indicators
those who trade context rather than individual signals
beginners who need a clear checklist
experienced traders — as a filter and confirmation tool
Settings
All key parameters (thresholds, weights, HTF settings) are configurable and can be adapted to the instrument and trading style.
Trend Analysis
RSI Momentum Signal & O59 Elite QuantRSI Momentum Signal is a technical analysis indicator designed to highlight potential momentum-based reversal points using the Relative Strength Index (RSI).
This script combines short-term RSI momentum behavior with basic candle structure to visualize possible bullish and bearish reaction zones directly on the chart.
How It Works
A fast RSI-based momentum calculation is used to color price bars when short-term momentum reaches extreme levels.
Buy and Sell signals are generated when momentum conditions align with RSI overbought or oversold levels and basic candle direction.
All signals are plotted visually on the chart to support discretionary analysis.
Intended Use
This indicator is not a standalone trading system. It is designed to be used as a supportive analytical tool together with other technical analysis methods such as trend structure, price action, and support/resistance levels.
Dynamic Trendline (Filtered Price Tracking)
The trendline within the indicator uses a calculation structure that smooths and tracks price data. This structure aims to reduce the visual impact of short-term fluctuations and make the overall direction of the price more readable.
The trendline changes color depending on the direction of movement to visually distinguish directional changes. This color difference is for informational purposes only and makes it easier to track the trend direction on the chart.
Dashboard
The dashboard, which can be opened and closed optionally, contains:
The symbol being traded
Time period
Indicator information
The dashboard is for informational purposes only and does not impair the readability of the graph.
Disclaimer
This script does not provide financial advice and does not guarantee any trading results. All trading decisions remain the sole responsibility of the user.
Use this indicator for educational and analytical purposes only.
dextrades smt+cisd+liquidity poolsThis Pine Script indicator, the Institutional Sweep Suite + Dashboard, is a comprehensive technical analysis tool designed for Inner Circle Trader (ICT) and SMC (Smart Money Concepts) traders. It focuses on identifying liquidity raids, session highs/lows, and Intermarket Divergence (SMT).
Here is a breakdown of how the indicator works and how you can integrate it into your trading strategy.
## Core Features
1. Liquidity Pool Tracking
The script automatically identifies and tracks key institutional liquidity levels from higher timeframes (HTF):
* Daily: Previous Day High (PDH) and Low (PDL).
* Weekly: Previous Week High (PWH) and Low (PWL).
* Monthly: Previous Month High (PMH) and Low (PML).
2. Session Range Mapping
It tracks specific price boundaries for the major trading sessions (mapped to New York time):
* Asia Range: 8:00 PM – 12:00 AM (20:00–00:00).
* London Range: 2:00 AM – 5:00 AM (02:00–05:00).
* New York: Monitors for sweeps of the Asia/London ranges during the NY session.
3. SMT Divergence & CISD
* SMT (Smart Money Technique): It compares the current asset (e.g., NQ) with a correlated symbol (e.g., ES). If one makes a new high/low while the other fails to do so, it signals an SMT divergence, suggesting institutional manipulation.
* CISD (Change in State of Delivery): Marked by small white triangles, these indicate an immediate shift in price momentum following a sweep, signaling that the "state of delivery" has likely flipped.
4. Real-Time Dashboard
A clean table in the top-right corner summarizes which liquidity pools have been "Swept" and which remain "Untouched" for the current day.
## How to Use It
Step 1: Identify the Sweep
Watch for price to trade above a high (like PDH or Asia High) or below a low. The script will generate a label if the price pierces the level but closes back within the range (a "Stop Run").
Step 2: Look for Confirmation
A sweep alone is just a hint. Look for the script to add:
* +SMT Label: This is a high-conviction signal indicating that the correlated markets are de-syncing at a key level.
* CISD Triangle: After the sweep, look for the white triangle. This confirms that price is moving away from the liquidity pool with intent.
Step 3: Execution
* Bearish Setup: Price sweeps a High (PDH/PWH/Asia H), an SMT divergence appears, and a bearish CISD (downward triangle) forms. Target the opposing liquidity (e.g., Asia Low).
* Bullish Setup: Price sweeps a Low (PDL/PWL/Asia L), an SMT divergence appears, and a bullish CISD (upward triangle) forms. Target the opposing liquidity (e.g., London High).
## Recommended Settings
* Correlated Symbol: If you are trading Nasdaq (NQ), set the SMT Comparison Symbol input to CME_MINI:ES1! (S&P 500). If trading EURUSD, set it to DXY (US Dollar Index).
* Timeframe: This suite is most effective on the 1-minute to 15-minute timeframes for intra-day entries.
> Note: The script uses New York time (America/New_York) for session calculations. Ensure your chart's timezone is synced or adjust the input if you operate in a region with different daylight savings rules.
IMPORTANT set pivot look back to 10, set nq settings to smt alert and set es settings to liquidity sweep must have indicator on both tickers
Bank CRE Stress & Short Risk Overlay + Dashboard
🏦 Bank CRE Short-Selling Dashboard:
- Expands the static database to better match the dashboard's highCRE + shortCandidates.
- Uses CRE ratio thresholds from dashboard (e.g., critical ~>500%, high ~400-500%, etc.).
- Keeps price stress logic (you can tweak it).
- Includes more failed/failed-like flags.
Access the Live Risk Monitoring & Trade Opportunities 🏦 Bank CRE Short-Selling Dashboard
claude.ai
Omega Stats Signal Pro趋势统计信号版
Short Description
A trend statistical indicator based on Omega MA algorithm, integrated with smart risk management and sniper filters to generate clear long/short trading signals.
Full Description
This indicator is built on the proprietary Omega moving average algorithm, combining trend statistical analysis with dual trading strategies to adapt to different market conditions. It features smart risk management with auto-adaptive loss streak threshold and multiple sniper filters to screen high-quality trading signals, while providing real-time dashboard, detailed trade logs and quant-friendly JSON alerts for easy robot integration.
Key Features:
Dual strategy modes: Reverse Hedge (one position at a time) & Dual Independent (separate long/short management)
Core Omega/Omega S MA algorithm for accurate trend detection
Smart Risk Management: Auto-adaptive loss streak threshold (custom confidence) or manual fixed value
Professional sniper filters: MFE (Maximum Favorable Excursion) strength, minimum profit, and forced take-profit by holding time
Real-time dashboard with position status, risk radar, and historical trade statistics
Quant-friendly JSON format alerts & detailed Pine Logs for trade tracking
Overlay design with trend background color and clear long/short signal labels
Works on multiple timeframes and all asset classes (stocks, forex, crypto, futures)
ORB + Smart Level Manager [FINAL V9.2 - CD Universal Cycle]Professional Intraday Level Manager for Indian Indices:
Overview Index Smart Levels is a comprehensive technical suite designed for Nifty 50, Bank Nifty, and Sensex traders. Unlike standard pivot indicators, this script uses a mathematical "ladder" logic and multi-timeframe ORB analysis to identify high-probability institutional support and resistance zones.
🚀 Key Features Bulletproof Stability Logic (6HR Auto-Hold):
Engineered to handle special trading sessions (like Muhurat or Budget days). The script locks strikes to the previous settlement price and only "flips" to new data 6 hours after market close (09:30 PM IST), ensuring your levels remain static and updates the revised settlement price reliable during live trading.
Mathematical T & L Series Ladders:
Uses ORB to project dynamic "Target" (T) and "Level" (L) series support/resistance lines. Sure targets. Shows only current day.
Hybrid Option Cross-Plotting:
Automatically detects the correct ATM strike for both CALL and PUT, which will decide the market moving levels and shown as dashed reference lines. This concept works most efficiently.
Smart Market Status Table:
A real-time dashboard tracking Trend (Day/2H/1H/15M), RSI, ADX Trend Strength, SMC (Break of Structure), and Momentum in one compact view. It will show in first 15 mins, whether the market is trending bullish/bearish or Range.
📖 How to Use Opening Range:
Watch for price action relative to ORB. Mostly MID lines will confirm the direction, if the first 15 mins is above MID then it may be bullish then watch for the Targets and if the first 15 mins is below MID then it may be bearish then watch for the negative Targets. Side ways, refer to day trend status in the market status table for trending or range.
Ladder Targets:
Use the T-Series for short-term scalp targets and the L-Series for major intraday reversals. if the Target lines been broken strongly then it will reach next target for sure except, if L series lines are not before the target lines. Even market can go multiple targets, this script will automatically show the next targets/levels.
Cross-Plot Confirmation:
Use the dashed purple/red/green lines to see where the market is trapped or finding strength. If any Low has been broken then it has high probability to reach or break the high.
RS Filtered RSIRS Filtered RSI (RSF RSI) | MisinkoMaster
The RS Filtered RSI is an advanced RSI-based indicator that enhances the traditional RSI by applying a custom filtering technique using Fourier transform principles. This reduces noise and improves the clarity of signals, helping traders better identify trend direction and potential reversals.
Key Features
Combines classic RSI calculation with Fourier-based filtering for noise reduction
Dynamically adapts to price momentum using Relative Strength filtering
Provides clear bullish and bearish trend signals with customizable thresholds
Includes overbought and oversold levels for better entry and exit timing
Plots divergence histogram to highlight momentum changes
Candle coloring aligns with trend direction for intuitive reading
Highly configurable via inputs for RSI length, filter length, Fourier length, and thresholds
How It Works
Calculates a standard RSI on the selected price source over the chosen length.
Applies a Discrete Fourier Transform (DFT) on recent price data to extract dominant frequency components and filter noise (code adapted from @BackQuant).
Uses Fourier magnitudes combined with RSI values to build a filter that strengthens the RSI signal and filters weak moves.
Applies upper and lower thresholds on the filtered RSI to define bullish and bearish trends.
Visualizes trend signals, divergence, and overbought/oversold zones with colored plots and candles.
Inputs Overview
Length — RSI calculation period
Source — Price input (default: close)
Filter Length — Length for Relative Strength filter
Fourier Length — Number of bars used for Fourier transform
Upper Threshold — Level above which bullish trend is signaled
Lower Threshold — Level below which bearish trend is signaled
Overbought — RSI level considered overbought
Oversold — RSI level considered oversold
Usage Notes
Best suited for traders who want a smoother, less noisy RSI signal especially in volatile markets.
Can be combined with other indicators or price action for better confirmation.
Adjust Fourier length and filter parameters to balance smoothness and responsiveness.
Use divergence histogram to spot momentum shifts early.
Candle coloring makes trend identification more intuitive.
Not a standalone trading signal — always backtest and manage risk accordingly.
Shout Out
Special thanks to @BackQuant for the Fourier transform code that inspired the filtering technique in this indicator.
Disclaimer
This indicator is for educational use only and does not constitute financial advice. Trading involves risk. Please do your own research and trade responsibly.
True Range Smoothed SuperTrendTrue Range Smoothed SuperTrend (TRS SuperTrend | MisinkoMaster)
The True Range Smoothed SuperTrend is an innovative trend analysis indicator designed to identify clear market trends while minimizing noise. By combining a smoothed price source weighted by true range values with an ATR-based volatility multiplier, this tool delivers reliable trend signals adaptable to a wide variety of asset classes and timeframes.
It’s particularly useful for traders seeking a versatile trend-following system that balances sensitivity and stability.
🔍 Concept & Idea
The indicator enhances the classic SuperTrend concept by using a true range–weighted smoothing of price data instead of raw price or simple moving averages. This weighting helps focus on periods with higher volatility, improving the relevance of trend detection.
Along with smoothing, the indicator applies an ATR-based volatility multiplier to dynamically adjust the upper and lower trend bands, adapting to current market volatility conditions.
⚙️ How It Works
True Range Weighted Smoothing:
The source price (default: low) is multiplied by the true range values over the lookback period.
These weighted values are summed and normalized by the total true range sum.
The result is further smoothed using an Exponential Moving Average (EMA) with a length proportional to the square root of the input length, reducing noise while preserving trend responsiveness.
ATR-based Bands:
The Average True Range (ATR) is calculated with the same length as the smoothing period.
The ATR is multiplied by a user-defined multiplier to establish dynamic upper and lower bands around the smoothed price.
Trend Determination:
When the source price crosses above the upper band, a bullish trend is signaled.
Conversely, crossing below the lower band signals a bearish trend.
These crossings update the trend state, which controls plotted bands and trend labels.
🧩 Inputs Overview
Length – Controls the lookback period for true range weighting, ATR calculation, and smoothing. Affects sensitivity and smoothness (default 37).
Source – Price source used for calculation, defaulting to low.
Multiplier – Scales the ATR bands to adjust volatility sensitivity (default 1.45).
📌 Usage Notes
The TRS SuperTrend works well across various asset classes and timeframes.
The true range weighting improves trend detection in volatile markets by emphasizing price moves during active periods.
Adjust the length and multiplier inputs to balance between noise reduction and responsiveness for your specific market and strategy.
Trend changes are visually marked with “𝓛𝓸𝓷𝓰” and “𝓢𝓱𝓸𝓻𝓽” labels directly on the chart.
Background fills between bands and price improve visual clarity.
Combine with other confirmation tools and risk management practices for best results.
Not a standalone trading system; always validate and backtest prior to live trading.
⚠️ Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk and users should perform their own analysis before making trading decisions.
Enjoy smoother and clearer trend analysis with the True Range Smoothed SuperTrend!
Filtered Percentile OscillatorFiltered Percentile Oscillator (FPO | MisinkoMaster)
The Filtered Percentile Oscillator is a modern trend-following tool designed to combine the power of percentile ranking with adaptive trend strength filtering. By integrating a filter based on ADX strength, this oscillator aims to reduce noise and improve signal quality, helping traders identify more reliable bullish and bearish momentum zones.
This indicator works well across different markets, especially where volatility and trend clarity fluctuate. Although it can be noisy at times, the intelligent filtering mechanism provides strong potential for spotting actionable trend signals.
🔍 Concept & Idea
The idea behind the Filtered Percentile Oscillator is to use the percentile rank of price changes as a normalized measure of momentum, then apply an adaptive filter based on the Average Directional Index (ADX) to adjust sensitivity dynamically.
By combining these two concepts:
The Percentile Oscillator captures how extreme the current price is relative to recent price history.
The ADX-based filter adjusts threshold levels and confirms if the market is trending strongly enough to trust these percentile signals.
This dual-filtering mechanism improves the indicator’s ability to avoid false signals caused by noisy or non-trending environments.
⚙️ How It Works
The indicator calculates the Percentile Rank of the user-selected price source over a defined length (len). This percentile oscillator oscillates between -100% and +100%, reflecting relative price positioning.
It calculates the ADX and its percentile rank over a separate filter length (adx_len and ap_len) to estimate trend strength and market activity.
A combined potential filter checks if the sum of the absolute percentile oscillator and ADX percentile exceeds a user-defined threshold (pot_t). This filter controls whether signals are considered valid.
Thresholds for long and short signals dynamically adapt based on whether the ADX percentile exceeds the filter threshold (adx_t):
When strong trend strength is detected (ADX percentile > threshold), tighter upper and lower thresholds (ut and lt) apply to capture sharper trend signals.
When trend strength is weaker, wider thresholds (utm and ltm) are used to filter noise and reduce false signals.
Trend states are determined by comparing the percentile oscillator to these adaptive thresholds and validating the potential filter condition.
Overbought and oversold zones are also plotted for identifying potential reversal or exhaustion areas.
🧩 Inputs Overview
Length – Controls the lookback period for the Percentile Oscillator calculation (default 29).
Source – The price data source used for oscillator calculation (default: close).
Filter Length – Lookback period for ADX calculation used as a filter (default 12).
Filter % Length – Length used to calculate the percentile rank of the ADX filter (default 8).
Trending Upper Threshold – Upper bound for bullish signals when trend strength is strong (default 10).
Trending Lower Threshold – Lower bound for bearish signals when trend strength is strong (default -10).
Ranging Upper Threshold – Upper bound for bullish signals when trend strength is weak (default 15).
Ranging Lower Threshold – Lower bound for bearish signals when trend strength is weak (default -15).
Sum Filter Threshold – Minimum combined percentile value required to validate signals (default 100).
Filter Threshold – Minimum ADX percentile value required to switch to tighter thresholds (default 50).
Overbought – Level indicating overbought conditions for the oscillator (default 80).
Oversold – Level indicating oversold conditions for the oscillator (default -80).
📌 Usage Notes
Adaptive Filtering: The indicator dynamically adjusts sensitivity to market trend strength, reducing false signals during ranging or low-activity periods.
Normalized Momentum: Using percentile ranks allows comparison across different instruments and timeframes on a consistent scale.
Trend Confirmation: The ADX percentile filter ensures signals are stronger and more reliable when the market is trending.
Visual Guidance: Colored plots, threshold lines, and background fills improve signal interpretation and decision-making.
Customization: Thresholds and lengths can be fine-tuned for different markets or trading styles.
Complementary Use: Best combined with volume analysis, price action, or other indicators for comprehensive trade confirmation.
Backtest First: Always validate settings on historical data to match your preferred instrument and timeframe before live trading.
⚠️ Disclaimer
This indicator is provided solely for educational and analytical use. It is not financial advice. Trading involves risk, and users should perform their own due diligence before making trading decisions.
Enjoy improved trend filtering with the Filtered Percentile Oscillator!
Adaptive For LoopAdaptive For Loop (AFL | MisinkoMaster)
The Adaptive For Loop is an innovative trend-following indicator designed to deliver fast and reliable signals while minimizing false positives. By dynamically assessing the relationship between current and historical price data across multiple price components—open, high, low, and close—this tool filters out noise and highlights the strongest trend signals.
Unlike traditional indicators that rely on a single price input, Adaptive For Loop harnesses the combined strength of multiple price points, intelligently selecting the most relevant signal to adapt to changing market conditions. This approach helps traders identify genuine trend momentum with clarity and speed.
🔍 Concept & Idea
The idea behind Adaptive For Loop is to improve trend detection by simultaneously evaluating multiple price sources instead of just one. Each price component (open, high, low, close) undergoes a scoring process comparing the current price to a series of historical prices within a user-defined lookback range.
Since different price points may exhibit varying degrees of noise or trend clarity at different times, the indicator selects the source with the strongest directional signal based on absolute scoring. This adaptive selection reduces noise and enhances signal reliability while maintaining fast responsiveness.
⚙️ How It Works
The indicator performs a looped comparison for each price series (open, high, low, close) over a range specified by the user (from start to end bars ago).
For each bar in the range, it increments or decrements a score depending on whether the current price is higher or lower than the compared historical price.
After scoring all four price sources, the indicator selects the score with the greatest absolute value to represent the dominant market momentum.
This dominant score is then evaluated against user-defined upper and lower thresholds to determine the market trend state:
Above the upper threshold: bullish/uptrend signal
Below the lower threshold: bearish/downtrend signal
Between thresholds: neutral/no clear trend
The indicator plots the score, thresholds, and highlights the trend visually, including colored candlesticks representing the detected trend.
🧩 Inputs Overview
From (start) – Defines the start bar offset for the lookback range in the for loop (default 0).
To (end) – Defines the end bar offset for the lookback range in the for loop (default 45).
Upper Threshold – Score level above which an uptrend signal is triggered (default 39).
Lower Threshold – Score level below which a downtrend signal is triggered (default -12).
📌 Usage Notes
Adaptive Selection: The indicator adapts by selecting the price source with the strongest trend signal, reducing false signals caused by noisy individual price inputs.
Speed and Noise: Designed for fast execution and minimal noise, making it especially useful in volatile markets such as BTCUSD.
Visual Clarity: Colored candlesticks and score plots help traders quickly identify trend direction and strength.
Customization: Users can adjust the lookback range and thresholds to fit different assets and timeframes.
Complementary Tool: Best used alongside other confirmation indicators and sound risk management practices.
Backtesting Recommended: Always backtest and validate settings on historical data to optimize performance for your specific market.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own due diligence before making any investment decisions.
Enjoy trading with Adaptive For Loop!
Momentum RSIMomentum RSI (MRSI | MisinkoMaster)
Momentum RSI is an enhanced version of the classic Relative Strength Index (RSI) developed by J. Welles Wilder. This indicator integrates momentum components directly into the RSI calculation, resulting in a faster, smoother oscillator that helps traders identify trend strength and value zones with greater precision.
Unlike the traditional RSI, which relies on a fixed smoothing approach, the Momentum RSI dynamically incorporates momentum derived from differences between moving averages of RSI values over different lookback periods. This improves signal responsiveness while reducing noise, providing clearer insights for both trend-following and mean-reversion trading strategies.
🔍 Concept & Idea
Momentum RSI aims to improve the original RSI by adding momentum elements that speed up its reaction to price changes without sacrificing smoothness. This hybrid approach helps:
Capture early signals in trending markets
Reduce false signals during sideways or choppy conditions
Highlight overbought and oversold zones more effectively
Provide additional momentum context for more informed trading decisions
By combining RSI with momentum derived from moving average differences, the indicator balances sensitivity and stability for a versatile application across different asset classes and timeframes.
⚙️ How It Works
The Momentum RSI calculation involves several key steps:
Standard RSI Calculation:
The indicator first calculates the classic RSI using user-defined length and smoothing parameters. Users can customize the RSI source price and the smoothing moving average (MA) type applied (options include RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
Momentum Derivation:
Two versions of the RSI are computed with different smoothing lengths—a base RSI and a longer smoothed RSI. The difference between their moving averages represents a momentum component that measures the short-term trend strength.
Additional Momentum:
The difference between shorter-length and longer-length RSI calculations adds another momentum layer, reflecting momentum shifts over different timescales.
Momentum Integration:
These momentum components are combined and added to the previous RSI value, resulting in a momentum-enhanced RSI value (mrsi) that oscillates between 0 and 100.
Trend Detection:
Customizable upper and lower thresholds define long and short signal zones, allowing users to interpret when the market is trending bullish or bearish.
Overbought/Oversold Zones:
Additional thresholds highlight extreme value zones for potential mean-reversion trades.
🧩 Inputs Overview
RSI Length - Controls the primary RSI calculation length (default 20).
Source - Selects the price source for the RSI calculation (default: close).
Smoothing Length - Length used to smooth RSI values with the chosen MA type (default 12).
MA Type - Moving average method used for smoothing (options: RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
ALMA Offset - Offset parameter for ALMA smoothing (applicable only if ALMA is selected).
ALMA Sigma - Sigma parameter for ALMA smoothing (applicable only if ALMA is selected).
Upper Threshold - RSI level above which a bullish (long) signal is triggered (default 55).
Lower Threshold - RSI level below which a bearish (short) signal is triggered (default 45).
Overbought Threshold - RSI level indicating overbought conditions (default 85).
Oversold Threshold - RSI level indicating oversold conditions (default 15).
📌 Usage Notes
Versatile Application: Use Momentum RSI for both trend-following and mean-reversion strategies.
Signal Clarity: The momentum integration reduces noise, helping avoid false breakouts and improving entry timing.
Customization: Adjust smoothing lengths and MA types to match the characteristics of your trading style or the specific asset.
Visual Aids: Background colors, candle coloring, and shape markers facilitate quick interpretation of momentum strength and trend changes.
Threshold Sensitivity: Fine-tune thresholds to balance between early signals and signal reliability.
Intrabar Updates: Signals may update on lower timeframes for responsive trading.
Combine with Other Tools: For best results, use Momentum RSI alongside volume, price action, or other confirmation indicators.
Backtest Before Live Trading: Always validate settings on historical data to ensure suitability for your trading instrument and timeframe.
⚠️ Disclaimer
This script is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own due diligence before making any trading decisions.
Nifty Move Hunter Pro 2.0Nifty Move Hunter Pro 2.0 is an advanced intraday trading indicator designed to identify strong trend moves while avoiding low-probability and sideways market conditions.
This indicator combines multiple professional trading concepts into a single, clean system for precision-based trading.
🔹 Key Features
Double Supertrend Cloud System
Identifies market direction and trend strength clearly.
ATR-Based Dynamic Trend Levels
Helps filter false breakouts and weak signals.
Opening Range Levels (9:15 – 9:20 IST)
Automatically plots intraday reference and projection levels.
Dynamic Trendlines & Liquidity Zones
Highlights rejection areas and smart money zones.
Symmetrical Triangle Pattern Detection
Helps identify consolidation and potential breakout structures.
EMA Filters (Optional)
Additional trend confirmation.
Round Number Levels (Optional)
Psychological price zones for intraday trading.
🔹 Signal Logic
Signals appear only when strong trend confirmation is present.
Weak and sideways market conditions are filtered.
Signals are shown as “Level Break” instead of Buy/Sell.
Non-repainting logic (visual back-painting used only for analysis).
🔹 Best Usage
Market: NIFTY / BANKNIFTY / FINNIFTY
Timeframe: 5 Minute
Trading Style: Intraday
⚠️ This indicator is a decision-support tool, not a guaranteed profit system.
Always use proper risk management.
LongToken SMC: No-BE Edition + Pro Stats v3LongToken SMC: 3TP No-BE Edition + Pro Stats v3 is a high-end trading indicator built on the Smart Money Concept (SMC), focusing on market structure, liquidity, and the behavior of large money flows.
The indicator automatically identifies high-probability trading setups and clearly displays Entry – Stop Loss – 3 Take Profits, optimized for the No Break-Even (No-BE) strategy to avoid premature breakouts due to market noise.
Key Features
📌 Standard SMC Entry: Based on institutional price structure and cash flow
🎯 3 Fixed Take Profits: Targeting liquidity zones & price imbalances (IMB/FVG)
🛑 No Break-Even: Keeps orders logically in place, avoiding unnecessary stop-loss sweeps
⚖️ Optimal Risk Management: Reasonable R:R, enhancing long-term profit expectations
🔍 Clean and Easy-to-Read Interface: Focuses on Price Action, avoiding distractions
Suitable for
Price Action & SMC Traders
Traders who want clear order entry and disciplined order management
Traders who prioritize accuracy and consistency over placing many orders
Traders who follow structure – hold orders based on cash flow – profit is a consequence.
Adaptive Moving AverageAdaptive Moving Average
The Adaptive Moving Average (AMA) dynamically adjusts to market conditions, selecting the most responsive behavior while filtering noise to provide clearer trend guidance.
🚀 Why It’s Unique
• Exclusive adaptive logic unique to this script
• High speed with reduced noise
• Strong performance on volatile assets such as SOLUSD and CROUSD
• Highly customizable moving average combinations
• Multi-layer processing for improved accuracy
• Color-changing plots and reversal highlights for quick interpretation
💡 Core Idea
The indicator blends multiple user-selected moving averages and dynamically emphasizes the one best suited to current market conditions. This preserves responsiveness during strong moves while filtering weak or noisy signals.
⚙️ How It Works
Three user-selected moving averages are calculated using the same base length.
A first adaptation layer weights the averages based on their rate of change responsiveness.
A second rate-of-change filter measures market conditions to suppress signals during unstable environments.
The final adaptive average changes behavior depending on market speed and direction.
The result is a moving average that reacts quickly during trends while remaining stable during choppy periods.
📌 Usage Notes
• Color changes indicate shifts in trend direction.
• Highlighted diamonds mark reversal events.
• Higher adaptation thresholds reduce signals but increase reliability.
• Lower thresholds increase responsiveness for faster trading styles.
🧭 Conclusion
The Adaptive Moving Average continuously adjusts its behavior to reduce false signals while maintaining speed and responsiveness. It offers a versatile tool for traders seeking clearer market structure and improved strategy execution.
MACD Standard DeviationMACD Standard Deviation
The MACD Standard Deviation is a smoother, volatility-adjusted version of MACD designed to improve signal quality and reduce noise while preserving fast market responsiveness.
🚀 Benefits
• Strong performance on assets like BNBUSDT
• Faster entries with reduced signal noise
• Simple and efficient calculation method
• Improved trend clarity compared to classic MACD
💡 Core Idea
The objective is to create a cleaner MACD signal by measuring and adapting to its volatility. By accounting for dispersion, the indicator filters weak fluctuations and keeps meaningful momentum moves.
⚙️ How It Works
A standard MACD is calculated using selected moving averages.
Standard deviation of the MACD is computed over a chosen period.
Upper and lower dynamic levels are derived from MACD median and volatility.
These adaptive bands help filter false signals and better capture trend direction.
The result is a smoother, more stable MACD-based trend tool.
📌 Usage Notes
• Crosses around the zero line indicate potential trend shifts.
• Expanding band distance suggests rising momentum volatility.
• Contracting distance often signals consolidation phases.
• Histogram changes help visualize acceleration or weakening momentum.
Volatility Smoothed Moving Average BandVolatility Smoothed Moving Average Bands
The Volatility Smoothed Moving Average Bands are volatility-based bands that combine multiple measurements to provide a robust and accurate view of market trend and direction.
🚀 Benefits
• Reduced noise through multi-source averaging
• Fast response to market changes
• Strong performance on volatile assets, especially altcoins (notably CROUSD)
💡 Core Idea
The goal is to generate accurate and robust signals by averaging multiple components without requiring additional historical data. The method extracts more information from the same data, improving stability and responsiveness simultaneously.
⚙️ How It Works
A fast and a slow moving average are calculated.
Multiple intermediate values are derived and averaged to build a highly stable center line.
Differences between all components are averaged to estimate volatility.
This volatility is added and subtracted from the center line to form dynamic upper and lower bands.
The result is adaptive bands that track market structure with high accuracy and reduced lag.
📌 Usage Notes
• Best suited for trend detection and dynamic support/resistance.
• Bands expanding → volatility increasing.
• Bands contracting → market compression or consolidation.
• Crosses above/below bands often signal strong directional shifts.
Enjoy and trade smart.
Moving Average Divergence BandsMoving Average Divergence Bands
Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common.
The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality.
🚀 Core Idea
The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions.
This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise.
🔍 How It Works
The indicator calculates two moving averages:
• A primary moving average using the chosen length
• A secondary moving average using half of that length
Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band.
To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when:
• Price breaks above or below the adaptive band, and
• The absolute Z-score exceeds the user-defined threshold.
This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise.
⚙️ Key Features
• Fast trend-following bands optimized for volatile markets
• Dual moving-average divergence construction
• Z-score filtering to reduce false signals
• Multiple moving-average types supported
• Adjustable statistical sensitivity
• Visual band and trend coloring styles
🧩 Inputs Overview
• Moving-average length and source
• Moving-average type selection
• Z-score calculation length
• Z-score activation threshold
• Visual style presets for band coloring
📌 Usage Notes
• Designed to identify strong market moves while filtering weak breakouts.
• Particularly suited for volatile markets and altcoin trading environments.
• Band breaks without sufficient Z-score strength will not trigger signals.
• Signals may change intrabar on lower timeframes.
• Best used alongside risk management and confirmation tools.
• No indicator eliminates risk; testing and validation are always recommended.
This script is intended for analytical use only and does not constitute financial advice.
Adaptive RSIAdaptive RSI
Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves.
Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves.
🔍 Concept & Idea
The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments.
By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance:
• Early entries during strong market moves
• Reduced noise during consolidation
• Mean-reversion opportunities in ranging markets
• Momentum confirmation in trending markets
This adaptive behavior makes the oscillator more versatile across multiple market conditions.
⚙️ How It Works
The indicator evaluates market activity using three drivers:
• True Range (volatility)
• Volume activity
• Rate of price change
Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes.
This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive.
After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness.
An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators.
A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength.
⚙️ Key Features
• Adaptive RSI calculation speed
• Works for both trend-following and mean-reversion approaches
• Adjustable long and short signal thresholds
• Overbought and oversold zone highlighting
• Divergence histogram between RSI and adaptive smoothing
• Trend-based coloring and visual signal markers
• Optional ROC-weighted source for advanced users
🧩 Inputs Overview
• RSI calculation length and smoothing length
• Price source selection or optional special weighted source
• Speed tier selection (slow, medium, fast behavior)
• Activity priority order (volatility, volume, momentum)
• Long/short and overbought/oversold thresholds
📌 Usage Notes
• Can be used both for trend continuation and mean-reversion strategies.
• Adaptive logic helps reduce noise during sideways markets.
• Strong moves may cause faster RSI transitions due to adaptive speed selection.
• Signals may update intrabar on lower timeframes.
• Works best when combined with risk management and confirmation tools.
• No indicator is perfect; always test before live use.
This script is intended for analytical purposes only and does not provide financial advice.
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend
Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise.
Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases.
🔍 How It Works
The indicator combines:
• A user-selectable Moving Average as the core trend base
• ATR-based volatility bands to detect trend transitions
• An adaptive filter that determines when the base should update
The adaptive mechanism evaluates market conditions using one of several selectable drivers:
• ATR expansion (volatility increase)
• Rate-of-change acceleration
• Rising trading volume
• Increasing divergence between price and the moving average
If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations.
Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands.
When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance.
⚙️ Key Features
• Adaptive moving-average baseline
• Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA
• ATR-based volatility bands
• Multiple adaptation modes (volatility, momentum, volume, divergence)
• Reduced noise during consolidation phases
• Smooth trend visualization and transition markers
🧩 Inputs Overview
• Moving-average type and length
• Price source selection
• ATR length and multiplier
• Adaptive filter method selection
📌 Usage Notes
• Useful for identifying prevailing market direction and trend shifts.
• Adaptive filtering can help reduce false signals during sideways markets.
• Signals may update intrabar on lower timeframes.
• Best results are achieved when combined with confirmation tools or risk management rules.
• This script is intended for analytical purposes and does not provide financial advice.
Threshold AO VisualisationThe channel is a set of classic indicators with the ability to be customized, allowing for comprehensive market analysis and the ability to find entry points.
Luminous Trend Wave [Pineify]```
Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator
The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes.
Key Features
Hull Moving Average foundation for reduced lag trend detection
ATR normalization for universal applicability across all markets
Bounded output range (-100 to +100) using mathematical tanh transformation
Dynamic gradient coloring that reflects momentum intensity
Built-in signal line for momentum confirmation
Automatic alerts for trend reversals and momentum shifts
How It Works
The indicator operates through a four-stage calculation process:
Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements.
Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend.
ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar.
Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information.
Trading Ideas and Insights
Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis.
Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves.
Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move.
Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals.
How Multiple Indicators Work Together
LTW integrates three distinct technical concepts into a cohesive system:
Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?"
Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between.
Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals.
Unique Aspects
Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities.
Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading).
Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values.
How to Use
Add the indicator to your chart - it displays in a separate pane below price.
Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below.
Use the ±80 levels as caution zones where reversals become more likely.
Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum.
Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones.
Set alerts for automated notifications on trend changes and momentum shifts.
Customization
Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag.
Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers.
Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings.
Colors: Fully customizable bullish and bearish colors to match your chart theme.
Gradients: Toggle gradient coloring on/off based on preference.
Conclusion
The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity.
```
CHoCH CHOCH (Change of Character) Indicator
This indicator detects Change of Character (CHOCH) in market structure, helping you spot early trend reversals and momentum shifts.
It marks transitions from bullish to bearish and bearish to bullish, making it ideal for scalping, intraday, and swing trading.
✔ Non-repainting
✔ Works on all timeframes
✔ Forex, Crypto, Indices & Metals
Trade the shift. Catch the move early.
Seasonality (Prev Month Close Expected)Seasonality Indicator
This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns.
The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance across years, making recurring strong and weak periods easy to identify.
Vladimir Popdimitrov
