Arun R5.41🔻 Arun Gold 3H Power Indicator 🔻
Precision-Based Smart Sell System for Gold (XAU/USD)
💡 Overview
This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF).
It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals.
⚙️ Technical Foundation
The indicator uses multiple advanced confirmations:
📉 EMA Trend Filter → Confirms downtrend
💪 RSI Overbought Rejection → Momentum reversal signal
📊 MACD Bearish Cross → Confirms trend strength
🕯️ Bearish Candle Structure → Price action validation
When all conditions align, a clear 🔻 Sell Signal is plotted on the chart.
💎 Hidden Feature
This indicator includes a hidden feature that activates only when the correct market structure forms.
It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic.
📆 Recommended Settings
Symbol: XAU/USD (Gold)
Timeframe: 3-Hour (3H)
Market: Forex / Commodity
Mode: Sell-Only Confirmation Indicator
Performance: Best precision and consistency on 3H TF
📈 How to Use
Select XAU/USD on chart and set 3H timeframe.
Add the indicator to the chart.
Wait for the 🔻 Sell Signal and confirm the market structure after candle close.
Take entry according to your risk management.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
No system is 100% accurate — always backtest and demo trade before using in real trading.
💬 Credits
Developed by Ajay Sahu (India)
Based on Institutional & Smart Money Logic
Best results on 3H TF
Hidden Algorithm for XAU/USD traders
趨勢分析
Price Trendlines + Break Signals█ OVERVIEW
The "Price Trendlines + Break Signals" indicator is a technical analysis tool that automatically draws trendlines based on price pivot points and detects breakout signals. Designed for traders seeking precise market signals, the indicator identifies key pivot points, draws trendlines (resistance and support), and generates breakout signals with background highlighting. It offers flexible settings and alerts for breakout signals.
█ CONCEPTS
The indicator was created to provide traders with an alternative source of signals based on trendlines. Breakouts and bounces from trendlines can signal a trend change or the end of a correction. Combining these signals with other technical analysis tools can form the basis for building diverse trading strategies.
█ FEATURES
-Pivot Point Calculation: The indicator identifies pivot points (pivot high and pivot low) based on the closing price, with configurable left and right bars for pivot detection. Setting a higher number of bars results in fewer but more significant trendlines, with a delay corresponding to the specified length. Lower values generate more trendlines, but they are less significant. Crossovers are signaled only after the trendline is drawn, so sometimes no signals appear on crossed trendlines—this indicates the price passed through the line before it was detected.
- Trendlines: Draws trendlines connecting price pivot points—upper lines for downtrends (resistance) and lower lines for uptrends (support). Lines can be extended by a specified number of bars (default: 50).
- Tolerance Margin: Trendlines are widened by a tolerance margin, calculated using the average candle body size over a specified period and its multiplier. Reducing the multiplier to zero leaves only the trendline without a margin. Breaking this zone is a condition for generating signals.
- Breakout Signals: Generates signals when the price breaks through a trendline (bullish for upper lines, bearish for lower lines), with background highlighting for signal confirmation.
Alerts: Built-in alerts for:
- Upper trendline breakout (bullish signal).
- Lower trendline breakout (bearish signal).
Customization: Allows adjustment of pivot parameters, trendline extension length, tolerance margin, line colors, fills, and signal background transparency.
█ HOW TO USE
Adding the Indicator: Add the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configuring Settings:
- Left Bars for Pivot: Number of bars back for detecting pivots (default: 10).
- Right Bars for Pivot: Number of bars forward to confirm pivots (default: 10).
- Extend past 2nd pivot: Number of bars to extend the trendline after the second pivot (default: 50, 0 = no extension).
- Average Body Periods: Period for calculating the average candle body size used for the tolerance margin (default: 100).
- Tolerance Multiplier: Multiplier for the tolerance margin based on the average candle body size (default: 1.0).
Colors and Style:
- Upper trendline (resistance): default red.
- Lower trendline (support): default green.
- Line fills: colors with transparency (default 70).
- Signal background: green for bullish signals, red for bearish signals (default transparency 85).
Interpreting Signals:
- Trendlines: Upper lines (red) indicate a downtrend, lower lines (green) indicate an uptrend. Signals appear after a trendline breakout with the tolerance margin. Each trendline generates only one breakout signal, though it may still act as resistance or support for the price.
- Breakout Signals: Green background indicates an upper trendline breakout (bullish), red background indicates a lower trendline breakout (bearish).
- Alerts: Set up alerts in TradingView for trendline breakout signals.
Combining with Other Tools: Use with support/resistance levels, Fibonacci levels, RSI, pivot points, or FVG (Fair Value Gap) for signal confirmation.
█ APPLICATIONS
The "Price Trendlines + Break Signals" indicator is designed to identify trends and potential reversal points, supporting both trend-following and contrarian strategies:
- Trend Confirmation: Trendlines indicate the direction of the price trend, and bounces from them may signal the end of a correction.
- Reversal Strategies: Breakout signals can be used as cues to enter positions in anticipation of a trend change or correction.
- Noise Filtering: The tolerance margin reduces false signals, enhancing reliability.
█ NOTES
- Trendline crossovers are signaled only after the trendline is drawn, so sometimes no signals appear on crossed trendlines—this indicates the price passed through the line before it was detected.
- Each trendline generates only one breakout signal, though it may still act as a level of support or resistance for the price.
- Setting a higher number of bars for pivots results in fewer but more significant trendlines, with a delay corresponding to the specified length. Lower values generate more trendlines, but they are less significant.
- Adjust settings (e.g., number of bars for pivots, tolerance multiplier) to suit your trading style and timeframe.
- Combine with other technical analysis tools, such as RSI, pivot points, or FVG, to enhance signal accuracy.
- For high-volatility markets, consider increasing the tolerance margin to reduce false signals.
TRADALOGIX A-Setup Mentoring Checklist97% of traders (new or old) sometime forget that to win the markets consistently, you have to be consistent in your thought process as well. Many that come to me desire only to know the secrets to my trading success. And I ask the same question to each and everyone: What are your steps in finding, validating & executing the best trade possible? Majority of the times, they know of only 3-5 points to consider when trading. Hence the reason why many traders fail.
This led me down to compiling a 1000 trader survey. It resulted in finding the reasons for trader failures. Most traders were unaware of some of the critical steps in finding, validating & executing the A-Setup trade of the day.
Once launched, you will find the critical steps in processing your setup. No one item should be ignored if you are seeking consistency in your trading. Good luck.
CISD + Fractals - Milana TradesThe CISD (Change in State of Delivery ) is a precision-engineered tool for identifying structural shifts within price action.
It algorithmically detects when price transitions from one swing direction to another — providing objective confirmation of market structure breaks that often precede trend reversals.
By mapping swing highs and lows, and visually marking breakpoints through CISD signals, this indicator enables traders to see the market’s internal structure in real time, without noise or subjective interpretation.
⚙️ Core Logic
The CISD algorithm uses a fractals-based structure recognition system to define market swings (high/low) and monitor for structural breaches.
Swing Identification
Using a configurable Pivot Strength parameter, the indicator detects significant local highs and lows based on price symmetry.
These pivots form the foundation of short-term and long-term structural reference points.
Execution Logic
Once a CISD is detected, the script dynamically projects a horizontal reference line at the validated structural level and plots a clear label (+CISD or –CISD) at the break location.
This provides an immediate, unobtrusive visualization of key structural events.
Visualization & Styling
The CISD interface is built for clarity and adaptability across all charting environments.
All stylistic parameters are fully customizable:
Pivot Strength – Sensitivity of swing identification
Fractal Visibility – Optional visualization of pivot origins
Bullish/Bearish Color Schemes – Independent line and text coloration
Line Style & Thickness – Adjustable for chart clarity
Label Size – Four-tier sizing (Tiny to Large) for multi-timeframe readability
Each CISD line maintains the context of structural order flow, allowing traders to visually differentiate active structure levels from historical breakpoints.
Alert System
The indicator integrates a fully functional alert module for automated market monitoring:
Any CISD – Alerts when any structural break occurs
Bullish CISD Formed – Alerts on bullish market structure shifts
Bearish CISD Formed – Alerts on bearish market structure shifts
These can be used for manual trade confirmation, smart alerts, or automated trading system triggers.
Adaptive Chikou Strategy - Level 1This strategy is based on the Ichimoku cloud system and the power of delaying the signal. I changed how the averages are calculated to better detect the range areas.
The strategy uses this concept to determine the market regime, whether the price is below or above its delayed signal, and acts accordingly:
Bull (green) – when the price is above the average of the highs, delayed, the strategy favors long entries.
Bear (red) – when the price is below the average of the lows delayed, the strategy favors short entries.
Range (brown) – when the percent rank is in between those 2 conditions, we detect range, and no trades are initiated.
The transition between these regimes depends mainly on 4 key parameters.
The first parameter controls the lookback period for the highest and lowest functions.
The second controls how much we delay the signal of these 2 functions.
The third adjusts how much range is detected in bull conditions; it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range.
The fourth parameter is similar to the third, but for bear conditions. The bigger it is, the less bear and the more range conditions are detected.
The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies.
Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when the price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart.
The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows:
Disable the walk-forward option during the optimization phase.
Optimize the first main parameter while keeping others fixed.
Once a satisfactory value is found, move to the second parameter.
Continue the process for subsequent parameters.
Optionally, repeat the full sequence once more to refine the results.
Finally, activate walk-forward analysis and check the out-of-sample results.
This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems.
There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness.
When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Percent Rank Strategy - Level 1This strategy is based on the Percent Rank math, a statistical measure that evaluates how the current price compares to its historical prices over a specified lookback period.
In simple terms, Percent Rank tells you the percentile position of the current price within a recent window, for example, a value of 80% means the price is higher than 80% of the previous prices in that period, while 20% means it’s lower than 80% of them.
The strategy uses this concept to determine the market regime, whether price is high, low, or neutral relative to its recent range, and acts accordingly:
Bull (green) – when the price percent rank is usually above 50% the price is normally high, and the strategy favors long entries.
Bear (red) – when the price percent rank is usually below 50% the price is normally low, and the strategy favors short entries.
Range (brown) – when the percent rank is in between those 2 conditions, we detect range, and no trades are initiated.
The transition between these regimes depends mainly on 3 key parameters.
The first parameter controls the maximum lookback period for the percent rank array and so the maximum cycle length.
The second controls how much range is detected in bull conditions; it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range.
The third parameter is similar to the second, but for bear conditions. The smaller it is, the less bear and the more range conditions are detected.
The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies.
Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when the price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart.
The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows:
Disable the walk-forward option during the optimization phase.
Optimize the first main parameter while keeping others fixed.
Once a satisfactory value is found, move to the second parameter.
Continue the process for subsequent parameters.
Optionally, repeat the full sequence once more to refine the results.
Finally, activate walk-forward analysis and check the out-of-sample results.
This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems.
There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness.
When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Advanced Chandelier Exit with S/R [Alpha Extract]Advanced Chandelier Exit with S/R is a precision-crafted trailing stop and market structure detection system that fuses advanced Chandelier Exit logic with intelligent, multi-timeframe support and resistance tracking. This indicator delivers adaptive trend detection, volatility-aware exit positioning, and real-time structural mapping in a clean, responsive format. By combining directional filtering, pivot zone detection, and customizable styling, Advanced Chandelier Exit with S/R is designed to give traders reliable context, strong risk management, and visually intuitive confirmation signals across all timeframes and asset classes.
🔶 Adaptive Trailing Stop Architecture
At the core of Advanced Chandelier Exit with S/R is a refined Chandelier Exit mechanism that dynamically calculates trailing stops based on recent highs and lows, ATR volatility, and trend sensitivity. The system features directional memory, anchoring the stop to maintain position until a confirmed trend break occurs. This method prevents premature flips and keeps the trade aligned with sustained momentum.
longStop := close > longStop ? math.max(longStop, longStop ) : longStop
shortStop := close < shortStop ? math.min(shortStop, shortStop ) : shortStop
🔶 Volatility-Weighted Filtering
To reduce noise and improve reaction quality, Advanced Chandelier Exit with S/R includes an optional volatility normalization filter. This system adjusts ATR output based on how elevated it is relative to its own average, effectively down-weighting erratic price moves while maintaining responsiveness in directional phases.
volatilityFilter = enableVolatilityFilter ? ta.sma(baseATR, length) / baseATR : 1.0
atr = mult * baseATR * sensitivity * volatilityFilter
🔶 Trend Strength-Aware State Transitions
Trend flips in Advanced Chandelier Exit with S/R are not based solely on price crossing the stop level. Instead, the system includes a momentum-derived trend strength filter that validates the legitimacy of directional shifts. This guards against weak reversals and gives stronger confidence in breakout moves.
priceChange = math.abs(close - close )
avgPriceChange = ta.sma(priceChange, length)
trendStrength = math.min(priceChange / avgPriceChange * 100, 200)
🔶 Multi-Timeframe Support & Resistance Zones
Advanced Chandelier Exit with S/R embeds a sophisticated pivot-based structure mapping engine that automatically identifies significant price reaction levels and tracks their validity over time. It filters redundant zones, removes invalidated levels, and renders real-time support and resistance overlays based on market structure.
if isUniqueLevel(ph, resistanceLevels)
array.unshift(resistanceLevels, ph)
if isUniqueLevel(pl, supportLevels)
array.unshift(supportLevels, pl)
🔶 Dynamic Visual Encoding
The indicator uses strength-scaled fills, customizable colors, and line styling to convey directional bias with clarity. Color opacity intensifies as trend strength increases, offering intuitive context at a glance. Dynamic background fills mark trend states, while S/R zones are rendered with user-defined transparency for clean integration.
🔶 Signal Detection and Alerts
Directional signals are generated upon confirmed flips between long and short regimes, validated by stop crosses and strength filters. Additionally, the indicator provides S/R breakout alerts, identifying when price breaks through a key structural level.
🔶 Performance and Customization Optimizations
Advanced Chandelier Exit with S/R is built with modularity and efficiency in mind. It supports full customization of stop logic, volatility sensitivity, structural lookback, S/R zone filtering, and visual display. The use of array-based data structures for S/R levels ensures consistent performance even across high-activity assets and longer lookback periods.
Advanced Chandelier Exit with S/R represents the next evolution in trailing stop and structure-aware trading tools. By blending the proven logic of the Chandelier Exit system with intelligent trend strength filters and robust S/R detection, it becomes more than just a stop indicator—it becomes a complete trade management companion. Traders benefit from fewer false flips, clearer directional bias, and precise structural overlays that reinforce both breakout and reversal strategies. Whether used for swing entries, intraday positioning, or zone-based re-entries, Advanced Chandelier Exit with S/R empowers traders with responsive, intelligent logic that adapts to market conditions without compromise.
Enhanced Trading Signals with Perfect Exits - By [Jai Mundada]🧠 Enhanced Trading Signals with Perfect Exits (ETSPE)
By Jai Mundada
🔍 Description
ETSPE (Enhanced Trading Signals with Perfect Exits) is a premium, high-precision indicator built to identify optimal entry and exit zones across all markets — including stocks, indices, forex, and crypto.
This system combines multi-timeframe confirmation, RSI-MACD-Stochastic confluence, volume dynamics, and price action logic to generate exceptionally reliable BUY/SELL signals with perfectly timed exits.
ETSPE is designed for professional traders and serious learners who want advanced clarity, strong risk control, and actionable visual signals — all in one clean chart.
⚙️ Core Features
✅ Multi-Layer Confluence System (RSI, MACD, Stochastic, EMA, SMA, Volume, Pattern)
✅ Smart Exit Algorithm (adaptive ATR-based stop loss & take profit)
✅ Automatic Support/Resistance Mapping
✅ Live Score Table for Bull/Bear Strength & Exit Readiness
✅ Risk Warning Display & Visual Alerts
✅ Fully Customizable Signal Frequency, Table Size, and Display Layout
✅ Works on all timeframes & instruments
🧭 Recommended Settings
Intraday: 5-min + 15-min combination
Swing / Positional: 1-hour + 1-day chart
Default Parameters: Suitable for most charts, but users can fine-tune “Minimum Score” & “ATR Multipliers” based on volatility.
Once subscribed, users will receive complete setup and usage guidance directly via email.
📈 How to Access
This indicator is Invite-Only.
To gain access or subscription, please send an email request to:
📩 jaimunadad72@gmail.com
Once approved, you’ll be added to the access list and receive full setup instructions and strategy guidance.
⚠️ Risk Disclaimer
Trading involves substantial risk and may not be suitable for all investors. Past performance does not guarantee future results.
Always perform your own research and use proper risk management.
This script is for educational purposes only.
© 2025 Jai Mundada. All Rights Reserved.
Correlation Cycle Strategy - Level 1This strategy is based on John Ehlers idea of the correlation cycle, and that markets often oscillate. They move up and down in cycles, though not perfectly sinusoidal, they can be approximated by a sinusoidal wave. This script measures the strength of the correlation between price and a range of ideal sine wave components of different periods. By doing this, we estimate which cycle length the market is most currently following and from that, we find the phase to learn in which part of the cycle we are in.
Bull (green) – when price is at the bottom of the sinusoidal going to the top (positive phases), the strategy favors long entries.
Bear (red) – when price is at the top of the sinusoidal going down to the bottom (negative phases), the strategy favors short entries.
Range (brown) – when the phase is in the transition zones we detect range conditions and no trades are initiated.
The transition between these regimes depends mainly on 3 key parameters.
The first parameter controls the maximum lookback period for correlation detection and so the maximum cycle length.
The second controls how much range is detected in bull conditions, it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range.
The third parameter is similar to the second, but for bear conditions. The bigger it is, the less bear and the more range conditions are detected
The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies.
Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart.
The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows:
Disable the walk-forward option during the optimization phase.
Optimize the first main parameter while keeping others fixed.
Once a satisfactory value is found, move to the second parameter.
Continue the process for subsequent parameters.
Optionally, repeat the full sequence once more to refine the results.
Finally, activate walk-forward analysis and check the out-of-sample results.
This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems.
There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness.
When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Alts Strategy 3.1Alts Strategy 3.1 is a long-term adaptive DCA system designed for spot investment management and portfolio scaling.
It automatically accumulates and averages spot positions during market corrections, using layered Fibonacci supports and adaptive take-profit logic to optimize long-term entry efficiency.
This strategy is built for investors and swing traders who prefer gradual accumulation over frequent trading.
Instead of short-term entries and exits, it focuses on adding to positions at statistically favorable levels and reducing exposure near major resistance zones.
Its adaptive nature allows users to simulate real investment behavior — buying lower, holding through volatility, and exiting strategically once recovery targets are reached.
The core of the strategy is based on dynamic Fibonacci-derived support zones that react to historical price structures.
When price approaches these zones, Alts Strategy 3.1 initiates or averages entries following cooldown rules and bear-cycle filters.
The built-in bear-market filter recognizes historical cycle patterns (based on Bitcoin halving timelines) and temporarily blocks new entries during high-risk macro phases.
Once the market exits a bear regime, the system reactivates, continuing long-term accumulation.
The adaptive take-profit module adjusts target multipliers depending on recovery depth — distinguishing between “normal recovery” and “deep recovery” cycles.
This approach helps maximize profit during sustainable uptrends while keeping long-term exposure moderate.
All logic is handled internally without repainting, allowing accurate and consistent backtesting.
Alts Strategy 3.1 is intended mainly for long-term investors, portfolio rebalancers, and spot market participants who use DCA (Dollar-Cost Averaging) logic to accumulate assets over time.
It can be used to test different investment horizons, cooldown periods, and adaptive TP configurations directly in the Strategy Tester.
Because it operates on real price action without leverage logic, it is ideal for simulating spot accumulation strategies and macro investment cycles.
This tool is provided for educational and analytical purposes only.
It is not financial advice or a trading signal system.
EDGAR 4-Hour Overview (E4H)EDGAR 4-Hour Overview (E4H) is a professional multi-timeframe indicator that shows both 4-hour bases and daily overview reference levels, giving traders a clear vision of where price is likely to bounce, reject, or continue.
The system automatically detects Support (S1–S3), Resistance (R1–R3), and the 4H Base (Main Overview Level), displayed directly on your chart with a clean dashboard that also includes a Daily Base reference for higher-timeframe confirmation.
Designed for gold and forex scalpers, swing traders, and institutional-style analysts, this indicator helps you:
Identify key reaction zones before they happen
Align 4H movement with daily direction
Instantly measure price distance from support or resistance
Trade confidently without guessing where price will reject or reverse
🔒 Invite-Only Script — exclusive access for verified EDGAR traders.
Refined Supertrend (Intraday/Swing) 🧠 What It Is:
A volatility-adjusted trend-following system built on ATR (Average True Range), that identifies bullish and bearish regimes and adapts its sensitivity based on volatility, momentum, and market session.
⚙️ How It Works:
Plots two dynamic “stop lines”:
🟢 UpTrend Line = base - (ATR × multiplier)
🔴 DownTrend Line = base + (ATR × multiplier)
When price crosses above/below these, it flips trend direction.
Uses filters:
ADX + Volume filter: confirms trend strength (>25 ADX + 1.5× volume average)
Momentum Exhaustion filter (ROC-based): prevents fake flips during weak momentum
MTF Bias: checks higher timeframe alignment (e.g. weekly for swing, hourly for scalp)
Session filter: hides irrelevant signals outside session (optional)
Volatility-adaptive multiplier makes the ATR band expand/shrink depending on real-time market volatility.
📈 How to Use It:
Buy when the Supertrend flips green or price closes above green line (trend = 1).
Sell/Short when it flips red or price closes below red line (trend = -1).
Use its ATR trail line as a dynamic stop or trailing stop target.
In scalp mode, small ATR length (7) makes it more responsive; swing mode uses longer smoothing for less noise.
RUFUS GOLD BOT - TP/SL/ExitRUFUS GOLD BOT – Buy, Sell, and Exit (80% Accuracy)
This powerful indicator provides clear Buy, Sell, and Exit signals based on proven price action patterns, offering traders a simple yet effective tool for decision-making. With an impressive 80% accuracy rate, it helps identify high-probability trade setups and manage exits for optimal profits.
Squeeze Momentum Pro (Upgraded)🧠 What It Is:
A volatility compression and momentum ignition indicator derived from the TTM Squeeze concept. It detects when volatility “compresses” (squeeze on) and then expands explosively (squeeze off → release).
⚙️ How It Works:
Uses Bollinger Bands and Keltner Channels:
When BBs are inside KCs → market is “squeezed” (low volatility).
When BBs expand outside KCs → release (high volatility breakout).
Momentum (via linear regression on price vs KC average) shows direction.
Adds acceleration to detect early impulse and a confidence score (correlation-based).
Colors:
🟩 Increasing bullish momentum
🟥 Increasing bearish momentum
⚫ Black → squeeze on
⚫ Gray/Blue → neutral or post-squeeze
Volume filter ensures only meaningful squeezes trigger.
📈 How to Use It:
During “Squeeze On”, prepare.
When squeeze turns off + momentum histogram turns green → Bullish Release.
If red → Bearish Release.
Strong confidence (table shows >70%) = genuine expansion.
Fractals & SweepThe Fractals & Sweep indicator is designed to identify key market structure points (fractals) and detect potential liquidity sweeps around those areas. It visually highlights both Bill Williams fractals and regular fractals, and alerts the user when the market sweeps liquidity above or below the most recent fractal levels.
Fractal Recognition:
Detects both bullish (low) and bearish (high) fractals on the price chart.
Users can choose between:
Bill Williams fractal logic (default), or
Regular fractal logic (when the “Filter Bill Williams Fractals” option is enabled).
Fractals are plotted directly on the chart as red downward triangles for highs and green upward triangles for lows.
Fractal Tracking:
The indicator stores the most recent high and low fractal levels to serve as reference points for potential sweep detection.
Sweep Detection:
A bearish sweep is triggered when the price wicks above the last fractal high but closes below it — suggesting a liquidity grab above resistance.
A bullish sweep is triggered when the price wicks below the last fractal low but closes above it — suggesting a liquidity grab below support.
When a sweep occurs, the indicator draws a horizontal line from the previous fractal point to the current bar.
Alert System:
Custom alerts notify the trader when a bearish sweep or bullish sweep occurs, allowing for timely reactions to potential reversals or liquidity traps.
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary
📊 Overview
A professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk.
🎯 Key Features
Core Signal System
7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume
Signal Grading: Each signal is rated A+ through D based on 7 quality factors
Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D)
Advanced Safety Filters (Customizable)
Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands
ATR Spike Filter - Avoids trading during extreme volatility events
EMA Spacing Filter - Ensures proper trend separation (optional)
Momentum Filter - Requires consecutive directional bars (optional)
Multi-Timeframe Confirmation - Aligns with 15-min trend (optional)
TopStep Risk Management
Real-time drawdown tracking
Position sizing calculator based on remaining cushion
Daily loss limit monitoring
Consecutive loss protection
Max trades per day limiter
Visual Components
VWAP with 1σ, 2σ, 3σ bands
EMA 9/21 with cloud fill
15-min EMA 50 for HTF trend
Comprehensive metrics dashboard
Risk management panel
Filter status panel
Detailed trade labels with entry, stops, and targets
⚙️ Default Settings (Balanced for Regular Signals)
Technical Indicators
Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min)
MACD: 10/22/9
RSI: 14 period | Thresholds: 52 (buy) / 48 (sell)
ADX: 14 period | Minimum: 20
ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x
Volume: 1.2x average required
Session Settings
Default: 9:30 AM - 11:30 AM ET (adjustable)
Avoids first 15 minutes after market open
Customizable trading hours
Safety Filters (Default Configuration)
✅ Mean Reversion: Enabled (2.5σ max from VWAP)
✅ ATR Spike: Enabled (2.0x threshold)
❌ EMA Spacing: Disabled (can enable for quality)
❌ Momentum: Disabled (can enable for quality)
❌ MTF Confirmation: Disabled (can enable for quality)
Risk Controls
Minimum Signal Quality: C (adjustable to A+ for fewer/better signals)
Min Bars Between Signals: 10
Max Trades Per Day: 5
Stop After Consecutive Losses: 2
📈 Expected Performance
With Default Settings:
Signals per week: 10-15 trades
Estimated win rate: 55-60%
Risk-Reward: 1:2 (TP1) and 1:3 (TP2)
With Aggressive Settings (Min Quality = D, All Filters Off):
Signals per week: 20-25 trades
Estimated win rate: 50-55%
With Conservative Settings (Min Quality = A, All Filters On):
Signals per week: 3-5 trades
Estimated win rate: 65-70%
🚀 How to Use
Basic Setup:
Add indicator to MNQ 5-minute chart
Adjust TopStep account settings in inputs
Set your risk per trade percentage (default: 0.5%)
Configure trading session hours
Set minimum signal quality (Start with C for balanced results)
Signal Interpretation:
Green Triangle (BUY): Long signal - all confirmations aligned
Red Triangle (SELL): Short signal - all confirmations aligned
Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade
Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3)
Dashboard Monitoring:
Top Right: Technical metrics and market conditions
Top Left: Filter status (which filters are passing/blocking)
Bottom Right: TopStep risk metrics and position sizing
⚡ Customization Tips
For More Signals:
Lower "Minimum Signal Quality" to D
Decrease ADX threshold to 18-20
Lower RSI thresholds to 50/50
Reduce Volume multiplier to 1.1x
Disable additional filters
For Higher Quality (Fewer Signals):
Raise "Minimum Signal Quality" to A or A+
Increase ADX threshold to 25-30
Enable all 5 advanced filters
Tighten VWAP distance to 2.0σ
Increase momentum requirement to 3-4 bars
For TopStep Compliance:
Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account
Update "Already Used Drawdown" daily
Monitor the Risk Panel for cushion remaining
Use recommended contract sizing
🛡️ Risk Disclaimer
IMPORTANT: This indicator is for educational and informational purposes only.
Past performance does not guarantee future results
All trading involves substantial risk of loss
Use proper risk management and position sizing
Test thoroughly in paper trading before live use
The indicator does not guarantee profitable trades
Adjust settings based on your risk tolerance and trading style
Always comply with your broker's and TopStep's rules
HH/HL/LH/LL Detector- **Higher Highs (HH)** - price makes a new high above the previous high
- **Higher Lows (HL)** - price makes a new low above the previous low
- **Lower Highs (LH)** - price makes a new high below the previous high
- **Lower Lows (LL)** - price makes a new low below the previous low
**Important clarification**: This indicator will accurately *identify* these patterns based on pivot points, but it cannot predict future price movements with 100% accuracy. No indicator can guarantee trading success because markets are unpredictable. What I can provide is:
✅ **Accurate pattern detection** - correctly identifies HH, HL, LH, LL based on confirmed pivot points
✅ **Clear visual labels** on your chart
✅ **Customizable settings** for sensitivity
The indicator will mark these patterns after they form (using pivot confirmation), which is the standard approach for reliable pattern detection.
include:
- Visual labels (HH, HL, LH, LL) on the chart
- Lines connecting the pivot points
- Customizable lookback period for pivot detection
- Color coding for bullish (HH/HL) vs bearish (LH/LL) patterns
- Optional alerts when new patterns form
MACD-V - Volatility(ATR) normalized MACDThe MACD-V indicator modifies the traditional MACD formula by dividing the difference between the two Exponential Moving Averages (EMAs) by the Average True Range (ATR)
The key advantages of this indicator over MACD are:
Cross-market comparability: The classic MACD gives different readings for different instruments (like a stock versus a commodity) that are not directly comparable. MACD-V's normalization makes momentum readings comparable across different markets.
Time-based stability: Classic MACD readings can't be reliably compared over long periods of time due to changes in an asset's price and volatility. MACD-V's volatility adjustment creates more stable and consistent readings over time.
Reduction of false signals: In sideways or low-momentum markets, the traditional MACD can generate numerous false crossover signals near the zero line. MACD-V filters out these false signals by defining specific "neutral zones," typically between -50 and +50, where crossovers are ignored.
Consistent Thresholds : MACD-V overbought and oversold thresholds (e.g., +150 and -150) are independent of instrument price, allowing for a more objective framework for analyzing momentum.
TrueOI - Ktsoev CryptoCumulative open interest on major exchanges (Binance, Bitmex, Kraken, Bybit, Mexc, Okx, Bitget, BingX, Gate, Kucoin)
Lakshman Rekha [CSN]Indicator Name: Lakshman Rekha
Description:
Lakshman Rekha is a powerful and intelligently designed indicator that automatically identifies Support and Resistance levels using advanced mathematical algorithms based on the Gann Fortune methodology. It dynamically calculates and plots Daily, Weekly, Monthly, and Yearly levels to help traders recognize crucial price zones, potential reversal areas, and breakout points with exceptional accuracy.
This indicator seamlessly integrates the Gann Fortune Algorithm with the Relative Strength Index (RSI) and the Simple Moving Average (SMA) to deliver a well-structured and reliable trading system.
It uses the following configurations on a 5-minute timeframe:
SMA (14-period)
RSI (10-period)
Trading Approach:
In Nifty, traders are advised to book profits after a 60-point move or apply a trailing stop to capture extended trends.
In Bank Nifty, the recommended target or trailing level is 100 points for optimal trade management.
Lakshman Rekha offers traders a balanced combination of algorithmic precision, technical confluence, and price-action reliability.
We are providing free access to this indicator, allowing users to test, experience, and contribute valuable insights to enhance its performance.
This indicator is ideally suited for intraday and short-term swing traders seeking a systematic approach that blends mathematical structure, momentum analysis, and trend confirmation for consistent trading outcomes.
cd_VWAP_mtg_CxCd_VWAP_mtg_Cx
Overview
The most important condition for being successful and profitable in the market is to consistently follow the same rules without compromise, while the price constantly moves in countless different ways.
Regardless of the concept or trading school, those who have rules win.
In this indicator, we will define and use three main sections to set and apply our rules.
The indicator uses the VWAP (Volume Weighted Average Price) — price weighted by volume.
Two VWAPs can be displayed either by manually entering date and time, or by selecting from the menu.
From the menu, you can select the following reference levels:
• HTF Open: Opening candle of the higher timeframe
• ATH / ATL: All-Time High / All-Time Low candles
• PMH / PML, PWH / PWL, PDH / PDL, PH4H / PH4L: Previous Month, Week, Day, or H4 Highs/Lows
• MH / ML, WH / WL, DH / DL, H4H / H4L: Current Month, Week, Day, or H4 Highs/Lows
Additionally, it includes:
• Mitigation / Order Block zones (local buyer-seller balance) across two timeframes.
• Buy/Sell Side Liquidity levels (BSL / SSL) from the aligned higher timeframe (target levels).
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Components and Usage
1 – VWAP
Calculated using the classical method:
• High + Volume for the upper value
• Close + Volume for the middle value
• Low + Volume for the lower value
The VWAP is displayed as a colored band, where the coloring represents the bias.
Let’s call this band FVB (Fair Value Band) for ease of explanation.
The FVB represents the final line of defense, the buyer/seller boundary, and in technical terms, it can be viewed as premium/discount zones or support/resistance levels.
Within this critical area, the strong side continues its move, while the weaker side is forced to retreat.
But does the side that breaks beyond the band always keep going?
We all know that’s not always the case — in different pairs and timeframes, price often violates both the upper and lower edges multiple times.
To achieve more consistent analysis, we’ll define a new set of rules.
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2 – Mitigation / Order Blocks
In trading literature, there are dozens of different definitions and uses of mitigation or order blocks.
Here, we will interpret the candlesticks to create our own definition, and we’ll use the zones defined by candles that fit this pattern.
For simplicity, let’s abbreviate mitigation as “mtg.”
For a candle to be selected as an mtg, it must clearly show strength from one side (buyers or sellers) — which can also be observed visually on the chart.
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Bullish mtg criteria:
1. The first candle must be bullish (close > open) → buyers are strong.
2. The next candle makes a new high (buyers push higher) but fails to close above and pulls back to close inside the previous range → sellers react.
It also must not break the previous low → buyers defend.
3. In the following candle(s), as long as the first candle’s low is protected and the second candle’s high is broken, it indicates buyer strength → a bullish mtg is confirmed.
When price returns to this zone later (gets mitigated), the expectation is that the zone holds and price pushes upward again.
If the low is violated, the mtg becomes invalid.
In technical terms:
If the previous candle’s high is broken but no close occurs above it, the expectation is a reversal move that will retest its low.
Question:
What if the low is protected and in the next candle(s) a new high forms?
Answer: → Bullish mtg.
Bearish mtg (opposite)
3 – Buy/Sell Side Liquidity Levels
With the help of the aligned higher timeframe (swing points), we will define our market structure framework and set our liquidity targets accordingly.
Let’s put the pieces together.
If we continue explaining from a trade-focused perspective, our first priority should be our bias — our projection or expectation of the market’s potential movement.
We will determine this bias using the FVB.
Since we know the band often gets violated on both sides, we want the price action to convince us of its strength.
To do that, we’ll use the first candle that closes beyond the band.
The distance from that candle’s high to low will be our threshold range
Bullish level = high + (candle length × coefficient)
Bearish level = low - (candle length × coefficient)
When the price closes beyond this threshold, it demonstrates strength, and our bias will now align in that direction.
How long will this bias remain valid?
→ Until a closing candle appears on the opposite side of the band.
If a close occurs on the opposite side, then a new bias will only be confirmed once the new threshold level is broken.
During the period in between, we have no bias.
Let’s continue on the chart:
Now that our bias has been established, where and how do we look for trade opportunities?
There are two possible entry approaches:
• Aggressive entry: Enter immediately with the breakout.
• Conservative entry: Wait for a pullback and enter once a suitable structure forms.
(The choice depends on the user’s preference.)
At this stage, the user can apply their own entry model. Let’s give an example:
Let’s assume we’re looking for setups using HTF sweep + LTF CISD confirmation.
Once our bias turns bearish, we look for an HTF sweep forming on or near an FVB or mtg block, and then confirm the entry with a CISD signal.
In summary:
• FVB defines the bias, the entry zone, and the target zone.
• Mtg blocks represent entry zones.
• BSL / SSL levels suggest target zones.
Overlapping FVB and mtg blocks are expected to be more effective.
The indicator also provides an option for a second FVB.
A band attached to a lower timeframe can be used as confirmation.
• Main band: Bias + FVB
• Extra band: Entry trigger confirmed by a close beyond it.
Mtg blocks can provide trade entry opportunities, especially when the price is moving strongly in one direction (flow).
Consecutive or complementary mtg blocks indicate that the price is decisive in one direction, while sometimes also showing areas where we should wait before entering.
Mtg blocks that contain an FVG (Fair Value Gap) within their body are expected to be more effective.
Settings:
The default values are set to 1-3-5m, optimized for scalping trades.
VWAP settings:
Main VWAP (FVB):
• Can be set by selecting a start time, manually entering date and time, or choosing a predefined level.
Extra VWAP (FVB):
• Set from the menu. If not needed, select “none.”
• Visibility, color, and fill settings for VWAP are located here.
• Threshold levels visibility and color options are also in this section.
• The multiplier is used for calculating the threshold level.
Important:
• If the Extra VWAP is selected but not displayed, you need to increase the chart timeframe.
o Example: If the chart is on 3m and you select WH from the extra options, it will not display correctly.
• Upper limits for VWAP:
o 1m and 3m charts: daily High/Low
o 5m chart: weekly High/Low
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Mtg Settings:
• Visibility and color settings for blocks are configured here.
• To display on a second timeframe, the box must be checked and the timeframe specified.
• Optional display modes: “only active blocks,” “only last violated mtg,” or “all.”
• For confirmation and removal criteria, choosing high/low or close determines the source used for mtg block formation and deletion conditions.
BSL/SSL Settings:
• Visibility, color, font size, and line style can be configured in this section.
When “Auto” is selected, the aligned timeframe is determined automatically by the indicator, while in manual mode, the user defines the timeframe.
Final Words:
Simply opening trades every time the price touches the VWAP or mtg blocks will not make you a profitable trader. Searching for setups with similar structures while maintaining proper risk management will yield better results in the long run.
I would be happy to hear your feedback and suggestions.
Happy trading!
