Argentum Flag [AGP] Ver.2.5Central Purpose and Concept
The Argentum Flag script is a multifunctional tool that integrates and visualizes multiple key indicators to provide a detailed and unified perspective of the market. The core concept is to analyze price from different angles—volatility, volume, and momentum—to identify confluences and patterns that may be difficult to see with separate indicators. This "mashup" is not a simple fusion of indicators, but a strategic combination of tools that complement each other to offer a comprehensive view of asset behavior.
Components and Their Functionality
This script combines and visualizes the following elements:
EMA Percentage Bands (EMA Bands):
Uses an Exponential Moving Average (EMA) as a baseline.
Calculates and draws several volatility bands that deviate from the central EMA by fixed percentages (0.47%, 0.94%, 2.36%). These bands are inspired by Fibonacci ratios and the cyclical nature of the market.
The bands are colored with a dynamic gradient that reflects the current state of volatility.
Utility: These bands act as dynamic support and resistance areas. The price entering or exiting these zones can indicate a change in volatility or a possible exhaustion of the movement.
Volatility Signals (Vortex & Prime Signals):
The script generates visual signals when the price stays outside the volatility bands for a specific number of bars.
Vortex Signals (diamond ⍲): Appear when the price crosses and stays outside the Prime bands, suggesting a high volatility or a possible continuation of the trend.
Exit/Entry Signals (circle ⌾): Are activated when the price stays outside the Vortex bands, indicating an extreme extension of volatility. These can be interpreted as potential reversal or profit-taking zones.
Utility: They help traders quickly identify moments of high and low volatility and potential turning points in price action.
Volume Analysis (Volume Bar Colors):
The script changes the color of the bars based on the relationship between the current volume and the average volume over a 50-bar period.
Utility: This feature allows the trader to immediately visualize the strength behind a price movement. For example, a bullish candle with "extreme" volume suggests strong buying interest, while a bearish candle with "low" volume could indicate a weak correction.
Summary Tables (Dashboard):
EMA-Fibo Table: Displays the values of 12 EMAs based on the Fibonacci sequence (5, 8, 13, 21...) in an easy-to-access table. The background color of each value indicates if the current price is above (bullish) or below (bearish) that EMA.
Multi-Timeframe RSI Table: Displays the Relative Strength Index (RSI) values across multiple timeframes (from 1 minute to monthly). The text color changes to highlight if the RSI is in overbought (orange) or oversold (white) areas, according to the established levels.
Utility: These tables condense a large amount of data into a simple format, allowing traders to perform a quick, multi-timeframe market analysis without constantly switching charts.
How to Use the Script
This script is a contextual analysis tool that works best when its different components are combined. It is not a "buy and sell signal" system on its own, but a tool for informed decision-making.
Trend Identification: Use the EMA table to see the general trend direction across different timeframes. A price above most of the EMAs in the table suggests a bullish bias.
Volatility Reading: Observe the EMA bands. If the price stays within the bands, volatility is low. A strong move that breaks out of the bands, accompanied by an "extreme" volume color (blue), suggests strong momentum that could continue.
Momentum Analysis: Use the RSI table to confirm movements. An overbought 15m RSI could support a reversal signal from the Vortex bands, while a 1D RSI in a neutral zone may indicate that the main trend has not changed.
Signal Confirmation: Visual signals (diamond and circle) should not be used in isolation. They must be confirmed by volume analysis and dashboard readings. For example, an "Exit Signal" (circle) with low volume may be less reliable than one with high volume and a clear reversal candle.
Disclaimer
This script is for informational and educational purposes only. It is not financial advice, nor is it a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance is not indicative of future results. The user is solely responsible for their own trading decisions.
Индекс относительной силы (RSI)
Adaptive RSIFor traders who want more control, the indicator allows customization of RSI length, smoothing type, and Bollinger Band settings, making it adaptable to day trading, swing trading, and even long-term investing.
In short, this is more than just an RSI — it’s a complete momentum toolkit that combines clarity, flexibility, and advanced signal detection in one clean package.
Fibo RSIThis is a customized Relative Strength Index (RSI) indicator designed to replicate TradingView’s default RSI while adding additional reference levels for deeper market analysis.
🔹 Features:
RSI length set to 8 by default (user adjustable).
Calculates RSI using the standard ta.rsi() function.
Plots the RSI line in a clean, separate panel.
Adds 7 key levels for analysis: 0, 20, 30, 50, 70, 80, 100.
Levels are drawn as thin, solid straight lines for a cleaner look (instead of default dashed).
🔹 Use cases:
Identify momentum shifts with enhanced precision.
Use intermediate levels (20, 30, 50, 70, 80) as potential support/resistance zones.
Ideal for traders who want a Fibonacci-like structure in RSI analysis.
RMA Smoothed RSIRMA Smoothed RSI
Description:
An enhanced RSI built for cleaner intraday and swing reads. It applies RMA smoothing to damp noise.
How It Works
RSI (RMA-Smoothed):
Computes classic RSI from price changes and smooths the result with an additional RMA (user-controlled 3–7, where 5 is the sweet spot). This reduces whipsaw while preserving shifts in momentum.
How to Interpret
50 Midline = Bias Filter: Above 50 favors strength; below 50 favors weakness.
RSI vs RSI-MA Crosses: Cross up can precede thrust or mean-revert toward 50; cross down the opposite.
Inputs
Length: RSI period (default 14).
Source: Price source for RSI (default Close).
Smoothing: RMA smoothing length on RSI (3–7; default 3; 5 sweet spot).
Calculate Divergence: Toggle to compute pivots/divergences and enable alerts.
Moving Average Type: None, SMA, EMA, WMA, VWMA (default EMA).
MA Length: Length of the RSI-based MA (separate from RSI length).
Best For
Traders who want a cleaner RSI read without losing responsiveness.
Scalpers timing momentum shifts around the 50 line and MA crosses.
Swing traders using divergences as early reversal context.
Pro Tips
For fast intraday charts, start with Length 14, Smoothing 3–5, and EMA as the RSI-MA.
Use 50 reclaims/rejections as a simple regime filter.
Combine divergence labels with volume surges, key S/R, or volatility tools (e.g., BBW/TTM squeeze) to time entries.
Divergence alerts fire only if Calculate Divergence is enabled—keep it on if you rely on signals.
Hilega Milega v6 - Pure EMA/SMA (Nitesh Kumar) + Full BacktestHilega to milega
he Hilega Milega Strategy, inspired by the technique of Nitesh Kumar, is designed for intraday and swing traders who want structured entries and exits with clear demand–supply logic.
🔑 Core Features
Demand & Supply Zones – Automatically plots potential strong buying and selling zones for high-probability trades.
Trend Identification – Uses a blend of EMAs/SMA crossovers to identify bullish and bearish market bias.
Buy & Sell Signals – Generates real-time visual signals based on “Hilega Milega” rules for quick decision-making.
Risk Management – Suggested stop-loss levels are derived from recent demand–supply areas to minimize drawdowns.
Backtesting Enabled – Traders can test the performance across multiple assets (stocks, forex, crypto, commodities).
📊 How It Works
Buy Signal → When price action confirms a bullish zone with supporting trend filters.
Sell Signal → When price action confirms a bearish zone or reversal pattern.
Flat/Exit → Position closed when opposite signal triggers or demand–supply imbalance fades.
⚡ Best Use Cases
Intraday trading (5m, 15m, 1H charts).
Swing trading (4H, Daily charts).
Works across stocks, crypto, commodities, and forex.
⚠️ Disclaimer: This strategy is for educational purposes. Backtest thoroughly and apply proper risk management before live trading.
Siege Gold Strategy-1m
Siege Gold Strategy - An Advanced Trading Strategy with a Multi-Confirmation System
This powerful indicator is designed to help you base your trading decisions on solid foundations. Thanks to its advanced algorithms and multi-confirmation mechanism, it helps you understand market trends more clearly.
Key Features
Trend Pivot Points: Instantly identify trend reversals and potential support/resistance levels with intelligent pivot points that react to real-time price movements. This allows you to analyze the trend's strength and direction more accurately.
Relative Strength Index (RSI) Integration: We combine the classic overbought/oversold signals of the RSI with our custom strategies to generate more reliable and filtered signals. This integration minimizes false signals.
"Range" Module: This feature measures the volatility range the price is currently in, showing whether the market is consolidating or moving. This helps reduce the risk of making incorrect trades in sideways markets.
Who Is This For?
Traders who follow trend-following strategies.
Anyone who wants to automatically determine support and resistance levels.
Those looking for a multi-confirmation mechanism instead of relying on a single indicator.
Anyone who wants to generate more reliable trading signals.
This strategy can be used in the XAUUSD pair, as well as in crypto and forex markets. To use this strategy more accurately, we encourage you to watch a few videos. It's important to remember that every instrument and indicator setting yields different results, and we cannot guarantee that you will make a profit.
ZenAlgo - MarsThis indicator is a momentum-based oscillator built around a modified RSI calculation and subsequent smoothing with moving averages. It introduces a layered structure where divergences, signal crossovers, histogram dynamics, and multi-timeframe tables all combine into a comprehensive framework. The purpose is not to forecast markets with certainty but to provide structured context on momentum shifts, divergences, and trend bias.
Core Calculation
The base source is the closing price.
From it, relative upward and downward movements are measured over a chosen lookback length (by preset or manual input).
These values are normalized into an oscillator bounded between 0–100, equivalent to a traditional RSI structure.
This oscillator is smoothed by a moving average (SMA by default), producing the main line (MA).
A secondary smoothing (EMA by default) of the MA produces a signal line, against which crossovers are monitored.
Why this structure:
RSI captures momentum imbalance between gains and losses. Smoothing removes noise and makes divergences more stable to identify. Adding a signal line allows crossover events to highlight relative strengthening or weakening momentum phases.
Zones and Visual Guides
Static horizontal levels are placed at 70 (upper bound), 50 (mid-line), and 30 (lower bound).
The region between 30–70 is softly filled to emphasize the neutral zone.
Color changes on the MA line occur depending on whether it is above or below the signal line.
Why these levels:
Values above 70 or below 30 are commonly interpreted as overextended regions. A central 50 line separates positive from negative bias. These anchors allow consistent interpretation of oscillator movements.
Crossover Events
Alerts and conditions are defined for when the MA crosses above or below the signal line.
These are not entry signals by themselves but indicate shifts in relative momentum strength.
Divergence Detection
Divergences are calculated on the smoothed MA rather than raw RSI.
Four conditions are tracked:
Regular bullish (price makes a lower low while MA makes a higher low).
Hidden bullish (price higher low with MA lower low).
Regular bearish (price higher high with MA lower high).
Hidden bearish (price lower high with MA higher high).
Each detected divergence is marked with shapes and labeled "R" (regular) or "H" (hidden).
Why divergences are used:
They highlight when oscillator momentum disagrees with price structure. Regular divergences often suggest exhaustion, while hidden divergences may appear during continuation phases.
RSI & MA Multi-Timeframe Table
A table can be displayed showing RSI and MA values across multiple timeframes (1m, 5m, 15m, 1h, 4h, 1D).
For each, the relationship (Rising, Falling, Neutral) is determined by comparing RSI and MA.
Colors are adjusted depending on value ranges (extreme low, oversold, overbought, etc.).
Added value:
Instead of analyzing divergences or crossovers only on one chart, the table provides a compact overview of aligned or conflicting conditions across timeframes.
Strong and Warning Indications
"Strong" mark (Diamond) appear when the MA is firmly biased above or below 50 and hidden divergence supports the trend.
"Warning" mark (Triangle) appear when bias is strong but a regular divergence forms in the opposite direction.
Shapes mark these conditions, and alerts are available.
Why this distinction:
Hidden divergences often accompany continuation phases, while regular divergences may challenge the prevailing bias. Marking them separately allows the user to distinguish between potential trend reinforcement versus warning conditions.
Signal Table
A separate table summarizes:
Overall trend bias (Bull, Full Bull, Bear, Full Bear, Flat).
Time spent in each key zone.
Current MA trend (Rising, Falling, Flat).
Visual icons and color codes provide quick interpretation.
Time in Zones
The indicator measures how many bars (converted into minutes) the MA has spent:
above 70
above 50
below 50
below 30
These values appear in the signal table.
Why this matters:
Extended time in an extreme zone can show persistent momentum. Quick reversals versus sustained positioning give different context for bias strength.
MA vs Signal Histogram
A histogram plots the difference between MA and signal line, shifted around the 50 level.
Rising differences are shown with brighter coloring, falling differences with faded tones.
This emphasizes whether momentum is accelerating or decelerating.
Daily VWAP Integration
When the MA crosses the 50 level, additional conditions check whether the histogram is aligned and whether price is above or below the daily VWAP.
Only when both momentum bias and VWAP alignment agree are triangle markers shown.
Why VWAP is included:
VWAP serves as an intraday mean reference. Requiring alignment between oscillator momentum and price position relative to VWAP reduces random crossover noise.
Added Value Over Free Indicators
Divergences are calculated on smoothed momentum rather than raw RSI, reducing false positives.
Integration of multi-timeframe tables avoids the need to manually switch charts.
Bias measurement in terms of time spent in zones adds a temporal dimension often missing in basic oscillators.
Combining histogram dynamics with VWAP filtering provides context not present in typical RSI or MA overlays.
Limitations and Disclaimers
Divergences are not predictive on their own; price may continue without respecting them.
Extreme readings (e.g., above 70) can remain extended for long periods, especially in strong trends.
Multi-timeframe aggregation may introduce repainting effects when lower timeframes update faster than higher ones.
Signals must be interpreted in broader market context; the indicator does not provide trade entries or exits by itself.
How to Interpret Values
Above 70: momentum is strongly stretched upward.
Below 30: momentum is strongly stretched downward.
Crossing 50: often marks a structural change in directional bias.
MA rising vs. falling: tracks whether momentum pressure is increasing or decreasing.
Divergence labels: "R" = potential reversal, "H" = potential continuation.
Tables: confirm whether bias is consistent across multiple timeframes.
Best Use
Observe divergences in conjunction with bias tables to understand whether short-term moves align with higher-timeframe conditions.
Treat "Strong" and "Warning" markers as contextual alerts, not direct signals.
Use the histogram and VWAP alignment to filter out weaker crossovers.
Combine with price action and risk management rather than using in isolation.
RSI DivergenceThe code originally belongs to Matthew J. Slabosz, the founder of Zen Trading (The Art of Trading). ✍️📈
👉 My contribution and improvement was adding a divergence line directly on the RSI chart.
Why? Because most people can’t confirm correctness just by reading the code. 🧑💻❌
They need to see it with their own eyes 👀✔️ — this prevents misinterpretation and makes divergences crystal clear.
✨ By adding these visual confirmations, the efficiency and usability of the code has been significantly enhanced. 🚀📊
Liquidation Strategy📈 It enters a long trade when long liquidation spikes above a set threshold.
📉 It enters a short trade when short liquidation drops below the negative threshold.
🧮 It optionally filters entries using an EMA multiplier.
🔁 It exits long when RSI crosses below its smoothed version.
🔄 It exits short when RSI crosses above its smoothed version.
🔗 It requires linking to the Liquidations indicator on Bybit or OKX charts.
[DEM] Relative Strength Signal (With Backtesting) Relative Strength Signal (With Backtesting) is a momentum indicator that generates trading signals based on when an asset reaches its highest or lowest relative strength compared to the SPY benchmark over a 20-period lookback window. The indicator calculates relative strength by dividing the current asset's price by SPY's price, then triggers buy signals when this ratio hits a 20-period high (indicating maximum outperformance) and sell signals when it reaches a 20-period low (indicating maximum underperformance). To prevent signal clustering and improve practical utility, the indicator includes a built-in filter that requires a minimum number of bars (default 20) to pass between signals of the same type, ensuring adequate spacing for meaningful trade opportunities. The system includes comprehensive backtesting functionality that tracks signal accuracy, average returns, and signal frequency over time, displaying these performance metrics in a detailed statistics table to help traders evaluate the effectiveness of trading on relative strength extremes versus the broader market.
[DEM] Multiple Linear Regression Score Multiple Linear Regression Score is a composite momentum indicator that evaluates market conditions by analyzing a reference symbol (defaulting to NDX) across multiple technical dimensions and combining them into a single predictive score. The indicator processes ten different technical variables including RSI, MACD components (line, signal, and histogram), price relationships to various moving averages (10, 50, 100, 200), and short-term price changes (1-day and 5-day), converting most into binary signals (1 or 0) based on whether they're above or below zero. These binary and continuous inputs are then weighted using regression-derived coefficients and combined into a final percentage score that oscillates around zero, with the indicator also calculating a 20-period standard deviation of the score to measure volatility. This approach creates a data-driven sentiment gauge that quantifies the overall technical health of the reference market by mathematically weighting the importance of each technical factor based on historical relationships.
[DEM] Multi-Symbol Relative Strength Index Multi-Symbol Relative Strength Index is a comparative analysis indicator that simultaneously displays RSI values for five different symbols (defaulting to major tech stocks NVDA, MSFT, AAPL, AMZN, and GOOG) on a single chart pane. The indicator plots each symbol's RSI as colored lines with standard overbought (70) and oversold (30) reference levels, allowing traders to quickly compare relative momentum across multiple assets. A key feature is the dynamic background coloring that highlights which symbol currently has the extreme RSI value (either highest or lowest, depending on user selection), making it easy to identify which stock is showing the most extreme momentum condition at any given time. The indicator includes a legend table displaying all tracked symbols with their corresponding colors, and the background fill between the 30-70 RSI levels provides clear visual reference for overbought and oversold zones across all symbols simultaneously.
[DEM] Multi-RSI Signal (With Backtesting) Multi-RSI Signal (With Backtesting) is a technical indicator that generates buy signals based on multiple RSI (Relative Strength Index) timeframes simultaneously reaching oversold conditions. The indicator monitors RSI values across seven different periods (2, 3, 4, 5, 6, 8, 25, 50, and 100) and triggers a buy signal only when all shorter-term RSIs (2-8 periods) drop below specific thresholds (mostly below 10-20) while longer-term RSIs (25, 50, 100) remain within defined ranges, indicating a confluence of oversold conditions across multiple timeframes. The system includes comprehensive backtesting capabilities that track signal accuracy, average returns, and signal frequency over time, displaying these performance metrics in a real-time statistics table. Unlike typical single-RSI approaches, this multi-timeframe methodology aims to filter out false signals by requiring alignment across various RSI periods, though it currently only generates buy signals with no corresponding sell signal logic implemented.
[DEM] Momentum Bars Momentum Bars is designed to color price bars based on a combination of Aroon oscillator analysis and RSI momentum to identify periods of strong directional bias and filter out choppy or indecisive market conditions. The indicator calculates the Aroon Up and Aroon Down values over a configurable period (default 20) to determine which direction has more recent strength, then combines this with RSI analysis using the same period to confirm momentum alignment. Bars are colored green when Aroon Up exceeds Aroon Down (indicating recent highs dominate) and RSI is above 50 (confirming bullish momentum), red when Aroon Down exceeds Aroon Up (indicating recent lows dominate) and RSI is below 50 (confirming bearish momentum), and purple for all other conditions where the Aroon and RSI signals are conflicting or neutral, providing traders with immediate visual feedback about when price momentum and recent high/low activity are aligned versus when market conditions are mixed.
[DEM] Confirmation Signal (With Backtesting) Confirmation Signal (With Backtesting) is designed to generate buy and sell signals by combining Aroon oscillator analysis with Parabolic SAR positioning, smoothed EMA trend confirmation, and RSI filtering to create high-confidence trading opportunities. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table while also coloring bars based on market conditions (green for bullish confirmation, red for bearish confirmation, purple for neutral). The strategy generates buy signals when the Aroon Up reaches 100% (new highs) combined with bullish trend confirmations, proper SAR positioning, RSI filters, and adequate time spacing between signals, while sell signals are triggered under opposite conditions, emphasizing signal quality over quantity through multiple confirmation layers and integrated backtesting metrics.
[DEM] Combo Signal (With Backtesting) Combo Signal (With Backtesting) is designed to generate buy and sell signals by combining seven different trading strategies that incorporate multiple technical indicators including SuperTrend, Parabolic SAR, MACD, and RSI. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy triggers buy signals when any of seven long conditions are met (including ATR-based reversal patterns, SuperTrend confirmations, RSI oversold crossovers, MACD bullish crossovers, and SuperTrend line breaks), while sell signals are generated when any of the corresponding seven short conditions occur, creating a multi-faceted approach that aims to capture various market conditions and trading opportunities while tracking signal accuracy, average returns, and signal frequency through its integrated backtesting system.
RSI Trend Navigator [QuantAlgo]🟢 Overview
The RSI Trend Navigator integrates RSI momentum calculations with adaptive exponential moving averages and ATR-based volatility bands to generate trend-following signals. The indicator applies variable smoothing coefficients based on RSI readings and incorporates normalized momentum adjustments to position a trend line that responds to both price action and underlying momentum conditions.
🟢 How It Works
The indicator begins by calculating and smoothing the RSI to reduce short-term fluctuations while preserving momentum information:
rsiValue = ta.rsi(source, rsiPeriod)
smoothedRSI = ta.ema(rsiValue, rsiSmoothing)
normalizedRSI = (smoothedRSI - 50) / 50
It then creates an adaptive smoothing coefficient that varies based on RSI positioning relative to the midpoint:
adaptiveAlpha = smoothedRSI > 50 ? 2.0 / (trendPeriod * 0.5 + 1) : 2.0 / (trendPeriod * 1.5 + 1)
This coefficient drives an adaptive trend calculation that responds more quickly when RSI indicates bullish momentum and more slowly during bearish conditions:
var float adaptiveTrend = source
adaptiveTrend := adaptiveAlpha * source + (1 - adaptiveAlpha) * nz(adaptiveTrend , source)
The normalized RSI values are converted into price-based adjustments using ATR for volatility scaling:
rsiAdjustment = normalizedRSI * ta.atr(14) * sensitivity
rsiTrendValue = adaptiveTrend + rsiAdjustment
ATR-based bands are constructed around this RSI-adjusted trend value to create dynamic boundaries that constrain trend line positioning:
atr = ta.atr(atrPeriod)
deviation = atr * atrMultiplier
upperBound = rsiTrendValue + deviation
lowerBound = rsiTrendValue - deviation
The trend line positioning uses these band constraints to determine its final value:
if upperBound < trendLine
trendLine := upperBound
if lowerBound > trendLine
trendLine := lowerBound
Signal generation occurs through directional comparison of the trend line against its previous value to establish bullish and bearish states:
trendUp = trendLine > trendLine
trendDown = trendLine < trendLine
if trendUp
isBullish := true
isBearish := false
else if trendDown
isBullish := false
isBearish := true
The final output colors the trend line green during bullish states and red during bearish states, creating visual buy/long and sell/short opportunity signals based on the combined RSI momentum and volatility-adjusted trend positioning.
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward momentum where RSI influence and adaptive smoothing favor continued price advancement = Potential buy/long positions
Declining Trend Line (Red): Indicates downward momentum where RSI influence and adaptive smoothing favor continued price decline = Potential sell/short positions
Flattening Trend Lines: Occur when momentum weakens and the trend line slope approaches neutral, suggesting potential consolidation before the next move
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, sending "RSI Trend Bullish Signal" or "RSI Trend Bearish Signal" messages for timely entry/exit
Color Bar Candles Option: Optional candle coloring feature that applies the same green/red trend colors to price bars, providing additional visual confirmation of the current trend direction
DNSE VN301!, ADX Momentum StrategyDiscover the tailored Pine Script for trading VN30F1M Futures Contracts intraday.
This strategy applies the Statistical Method (IQR) to break down the components of the ADX, calculating the threshold of "normal" momentum fluctuations in price to identify potential breakouts for entry and exit signals. The script automatically closes all positions by 14:30 to avoid overnight holdings.
www.tradingview.com
Settings & Backtest Results:
- Chart: 30-minute timeframe
- Initial capital: VND 100 million
- Position size: 4 contracts per trade (includes trading fees, excludes tax)
- Backtest period: Sep-2021 to Sep-2025
- Return: over 270% (with 5 ticks slippage)
- Trades executed: 1,000+
- Win rate: ~40%
- Profit factor: 1.2
Default Script Settings:
Calculates the acceleration of changes in the +DI and -DI components of the ADX, using IQR to define "normal" momentum fluctuations (adjustable via Lookback period).
Calculates the difference between each bar’s Open and Close prices, using IQR to define "normal" gaps (adjustable via Lookback period).
Entry & Exit Conditions:
Entry Long: Change in +DI or -DI > Avg IQR Value AND Close Price > Previous Close
Exit Long: (all 4 conditions must be met)
- Change in +DI or -DI > Avg IQR Value
- RSI < Previous RSI
- Close–Open Gap > Avg IQR Gap
- Close Price < Previous Close
Entry Short: Change in +DI or -DI > Avg IQR Value AND Close Price < Previous Close
Exit Short: (all 4 conditions must be met)
- Change in +DI or -DI > Avg IQR Value
- RSI > Previous RSI
- Close–Open Gap > Avg IQR Gap
- Close Price > Previous Close
Disclaimers:
Trading futures contracts carries a high degree of risk, and price movements can be highly volatile. This script is intended as a reference tool only. It should be used by individuals who fully understand futures trading, have assessed their own risk tolerance, and are knowledgeable about the strategy’s logic.
All investment decisions are the sole responsibility of the user. DNSE bears no liability for any potential losses incurred from applying this strategy in real trading. Past performance does not guarantee future results. Please contact us directly if you have specific questions about this script.
Combined Continuational Signal - RSI & KeltnerContinuational Signal Indicator
This technical indicator provides trend continuation signals through dual-methodology analysis, offering traders flexibility to choose between RSI-based or Keltner Channel-based signal generation, or utilize both simultaneously for enhanced confirmation.
Core Functionality:
Dual Signal Architecture: Toggle between RSI momentum analysis or Keltner Channel volatility breakout detection
Multi-Confirmation Framework: Incorporates moving average trend filters, slope analysis, and candle pattern validation
Cloud Interaction Filter: Signals activate only when price interacts with the moving average cloud zone
MA Closeness Filter: Uses ATR-based filtering to avoid signals during low-volatility consolidation periods
Signal Logic:
The indicator waits for overbought/oversold conditions (RSI) or band extremes (Keltner), confirms directional bias through slope analysis, validates trend alignment via moving average positioning, then triggers signals on specific candle formations with engulfing characteristics.
Customization Options:
Adjustable RSI parameters and threshold levels
Configurable Keltner Channel settings with multiple calculation methods
Multiple moving average lengths for trend and slope analysis
Various display modes (shapes, backgrounds, candle coloring, vertical lines)
Comprehensive alert system for all signal types
Risk Management Integration:
Built-in filters prevent signals during choppy market conditions and ensure alignment with higher-timeframe trend direction before activation.
Use in conjunction with other confluent variables for optimal results. The default settings are calibrated for specific market conditions, though experimentation with parameters is recommended for different trading styles and timeframes.
Liquidation Strategy💣 Liquidation Strategy (High-Level Overview + Usage)
This strategy is built to trade extreme liquidation events on crypto exchanges like Bybit or OKX, using TradingView’s Liquidations indicator as input.
🔧 Core Logic
Long entries: Triggered when long liquidation values spike above a set threshold.
Short entries: Triggered when short liquidation values drop below a negative threshold.
Optional EMA filter ensures liquidation values are significantly above/below their moving average.
RSI crossover logic is used to exit trades.
🛠️ Usage Instructions
Add the Liquidations Indicator: Go to TradingView → Indicators → Search for “Liquidations” under the Financials section.
Select the Correct Chart: Use a chart from Bybit or OKX, as these exchanges provide liquidation data.
Link the Data Sources: In the strategy settings, set: Long Liquidation Data to the long liquidation series from the indicator. Short Liquidation Data to the short liquidation series.
Overlay the Strategy: You can overlay this strategy directly on the Liquidations indicator for better visual alignment.
RSI Momentum Trend MM with Risk Per Trade [MTF]This is a comprehensive and highly customizable trend-following strategy based on RSI momentum. The core logic identifies strong directional moves when the RSI crosses user-defined thresholds, combined with an EMA trend confirmation. It is designed for traders who want granular control over their strategy's parameters, from signal generation to risk management and exit logic.
This script evolves a simple concept into a powerful backtesting tool, allowing you to test various money management and trade management theories across different timeframes.
Key Features
- RSI Momentum Signals: Uses RSI crosses above a "Positive" level or below a "Negative" level to generate trend signals. An EMA filter ensures entries align with the immediate trend.
- Multi-Timeframe (MTF) Analysis: The core RSI and EMA signals can be calculated on a higher timeframe (e.g., using 4H signals to trade on a 1H chart) to align trades with the larger trend. This feature helps to reduce noise and improve signal quality.
Advanced Money Management
- Risk per Trade %: Calculate position size based on a fixed percentage of equity you want to risk per trade.
- Full Equity: A more aggressive option to open each position with 100% of the available strategy equity.
Flexible Exit Logic: Choose from three distinct exit strategies to match your trading style
- Percentage (%) Based: Set a fixed Stop Loss and Take Profit as a percentage of the entry price.
- ATR Multiplier: Base your Stop Loss and Take Profit on the Average True Range (ATR), making your exits adaptive to market volatility.
- Trend Reversal: A true trend-following mode. A long position is held until an opposite "Negative" signal appears, and a short position is held until a "Positive" signal appears. This allows you to "let your winners run."
Backtest Date Range Filter: Easily configure a start and end date to backtest the strategy's performance during specific market periods (e.g., bull markets, bear markets, or high-volatility periods).
How to Use
RSI Settings
- Higher Timeframe: Set the timeframe for signal calculation. This must be higher than your chart's timeframe.
- RSI Length, Positive above, Negative below: Configure the core parameters for the RSI signals.
Money Management
Position Sizing Mode
- Choose "Risk per Trade" to use the Risk per Trade (%) input for precise risk control.
- Choose "Full Equity" to use 100% of your capital for each trade.
- Risk per Trade (%): Define the percentage of your equity to risk on a single trade (only works with the corresponding sizing mode).
SL/TP Calculation Mode
Select your preferred exit method from the dropdown. The strategy will automatically use the relevant inputs (e.g., % values, ATR Multiplier values, or the trend reversal logic).
Backtest Period Settings
Use the Start Date and End Date inputs to isolate a specific period for your backtest analysis.
License & Disclaimer
© waranyu.trkm — MIT License.
This script is for educational purposes only and should not be considered financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and risk assessment before making any trading decisions.
