ACD Weekly🔷 ACD Weekly — Discover Weekly Ranges with Market Precision 🔷
Understanding where key levels lie at the beginning of the week can unlock powerful insights into market structure, breakout potential, and directional conviction.
The ACD Weekly indicator is designed to help you identify these levels with clarity and consistency.
🚀 What It Does
The ACD Weekly plots dynamic levels based on Monday’s price action and weekly volatility. These levels are useful for:
Identifying potential breakout and breakdown zones
Understanding market range expansions
Creating clean, repeatable weekly trade setups
Without diving into the formula, this tool uses the weekly opening range and historical volatility to highlight zones where institutional accumulation, distribution, or trending moves are more likely to initiate.
📌 How to Use It
Apply the script to any chart and timeframe – best viewed on intraday timeframes.
Observe the green and red lines that appear every Monday — they mark the reference high/low for the week.
The yellow zones extending above and below act as targets and thresholds — price movement into or beyond these areas can signal trend continuation or potential reversal zones.
Use it in combination with your own system — price action, volume, or momentum tools — to confirm entries/exits.
🧠 Who Is It For?
Intraday and swing traders who want clarity at the start of the week
Traders who use breakout or range strategies
Those who want structure without clutter
⚙️ Features
Customizable opening range multiplier
Choose your higher timeframe (daily/weekly)
Optional real-time or historical plotting with Lookahead mode
Add this to your chart and let the structure guide your setups throughout the week.
Happy trading! 📈
Disclaimer:
This is an educational idea, past performance does not guarantee future success.
All outputs will be your own responsibility.
Regards!
Volatilität
QT AMA Signals## QuantzTrader AMA Signals: Dynamic Trend & Momentum Indicator
**Introducing the QT AMA Signals Indicator, designed to provide clear and actionable buy/sell signals based on adaptive moving averages and volatility-adjusted conditions.**
This indicator leverages Kaufman's Adaptive Moving Average (AMA) to dynamically adapt to market volatility and trend strength. It incorporates two AMAs – a faster one for momentum and a slower one for trend – along with Average True Range (ATR) to filter out noise and identify significant price movements.
**Key Features:**
* **Adaptive Moving Averages (AMA):** Utilizes two AMAs with customizable parameters (10,2,30 for fast and 10,5,30 for slow by default) to capture both short-term momentum and longer-term trend.
* **Volatility-Adjusted Signals:** Employs ATR to ensure signals are triggered only when price movements are significant relative to recent volatility.
* **Trend and Momentum Confirmation:** Combines price action, AMA crossovers, candle color, and AMA slope to generate high-probability signals.
* **Clear Buy/Sell Signals:** Plots distinct triangle up/down shapes with "Buy" and "Sell" labels for easy identification.
* **Customizable ATR Length:** Allows users to adjust the ATR length for optimal signal filtering.
**How it Works:**
The indicator calculates two AMAs:
* **AMA Fast (10,2,30):** A more sensitive AMA, designed to capture short-term momentum changes.
* **AMA Slow (10,5,30):** A smoother AMA, used to define the overall trend direction.
**Buy Conditions:**
The indicator generates buy signals when either of the following conditions are met:
1. **Breakout with Gap:** Price crosses above the AMA Slow, a green candle forms, the AMA Fast slope is up, and the gap between the two AMAs is at least 1.5 times the ATR. This condition indicates a strong, volatility-backed breakout.
2. **Momentum Confirmation:** Price is already above the AMA Slow, price crosses above the AMA Fast, a green candle forms, and the AMA Fast slope is up. This condition signals a continuation of the uptrend with increasing momentum.
**Sell Conditions:**
Sell signals are generated when either of these conditions are met:
1. **Breakdown with Gap:** Price crosses below the AMA Slow, a red candle forms, the AMA Fast slope is down, and the gap between the two AMAs is at least 1.5 times the ATR. This indicates a strong, volatility-driven breakdown.
2. **Momentum Reversal:** Price is already below the AMA Slow, price crosses below the AMA Fast, a red candle forms, and the AMA Fast slope is down. This signals a continuation of the downtrend with increasing bearish momentum.
**Usage:**
* Add the "QT AMA Signals" indicator to your TradingView chart.
* Observe the plotted buy/sell signals for potential entry/exit points.
* Experiment with the ATR length to fine-tune the signal sensitivity.
* Consider using this indicator in conjunction with other technical analysis tools for enhanced confirmation.
**Disclaimer:**
This indicator is for informational purposes only and should not be considered financial advice. Trading involves risks, and you should always conduct thorough research and consult with a financial advisor before making any investment decisions.
**Developed by QuantzTrader.**
ATR VolatilityWe know that instruments have different levels of volatility. Therefore, this indicator introduces a table that describes volatility in a simple way. This table inform you for period, change(%), ATR and volatility in the timeframe: day, 4 hours, 1 hour, 30 minutes, 15 minutes and 5 minutes. It is important for you who need to measure volatility simply as a reference for setting a takeprofit and a stoploss.
Relative Momentum Deviation | QuantEdgeB📊 Introducing Relative Momentum Deviation (RMD) by QuantEdgeB
🛠️ Overview
Relative Momentum Deviation (RMD) is a precision-crafted momentum-based oscillator that measures relative price deviation through a normalized RSI structure and volatility-weighted SD bands. Unlike standard oscillators, RMD dynamically adapts its thresholds using rolling standard deviation on a DEMA-based foundation, making it uniquely responsive in both trending and ranging environments.
Designed to filter out noise and detect critical breakout zones, RMD is a powerful addition to any quantitative trader’s toolkit. Whether used as a standalone entry/exit signal or confirmation layer, RMD excels at identifying momentum inflection points with statistical confidence.
✨ Key Features
🔹 Normalized RSI-Based Core
RMD calculates momentum using a custom RSI of a DEMA-filtered source, delivering a smooth and responsive signal.
🔹 Volatility-Adaptive SD Thresholds
Dynamic upper and lower thresholds adjust in real-time using standard deviation, reducing false positives during low-volatility phases.
🔹 Dual Confirmation Signal Logic
RMD compares both deviation bands to user-defined thresholds to issue high-confidence trend entries.
🔹 Backtesting Integration & Visual Equity Curve
With built-in support for the QuantEdgeB Backtesting Framework, RMD allows seamless strategy validation.
🔹 Clean Visuals & Label Customization
Includes candle coloring, dynamic overlays, signal labels, and optional trend structure plots.
📊 How It Works
1️⃣ Normalized RSI of a DEMA Source
The heart of RMD lies in a momentum oscillator built from:
• 📌 Source Input → A DEMA of price (default 30)
• 📌 Momentum Foundation → RSI calculated from the DEMA output
• 📌 Smoothing Length → Controls the responsiveness of the base signal (default 14)
This creates a stable momentum oscillator less prone to fake-outs during sudden volatility spikes.
2️⃣ Standard Deviation Filtering Engine
RMD employs volatility-weighted SD bands to define statistically meaningful thresholds:
📌 Formula Breakdown:
• NormUp = RSI - SD
• NormDn = RSI + SD
These boundaries adapt based on recent price dispersion. The upper and lower bands dynamically expand or contract depending on market behavior.
3️⃣ Signal Logic & Triggering Conditions
• ✅ Long Signal → NormUp crosses above the long threshold (default: 65)
• ❌ Short Signal → NormDn drops below the short threshold (default: 50)
This approach means signals only occur during statistically significant deviation from mean momentum, making them less frequent but more robust.
✅ Visual Signal Features
• 🔹 Candle coloring based on signal direction (Long/Short)
• 🔹 Label plots on crossover confirmations
• 🔹 Momentum band plots for discretionary or system-based confirmation
👥 Who Should Use It?
✅ Momentum Traders → Identify directional bias with low noise
✅ Swing Traders → Confirm turning points with volatility-adjusted deviation
✅ Quantitative Developers → Integrate into backtested strategies with ease
✅ Range-Trading Specialists → Use SD bands to anticipate overextended moves
⚙️ Customization & Default Settings
🔧 Core Inputs:
• Base RSI Length (Default: 14)
• Source Smoothing (DEMA, Default: 7)
• SD Length (Default: 40) → Controls volatility window
• SD Multiplier (Default: 0.7) → Adjusts sensitivity of deviation thresholds
• Signal Thresholds (L/S Default: 65 Long - 50 Short) → Controls breakout trigger levels
• Color Mode Themes → Six color themes included
• Signal Labels Toggle → Optional signal label plotting
• Backtest Table & Equity Curve Options
📊 Backtest Mode
RMD includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess historical success rate.
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
🚀 Why This Matters?
✅ Strategy Validation → Gain insight into historical trend accuracy.
✅ Customization Insights → See how different settings impact performance.
✅ Risk Awareness → Understand potential drawdowns before deploying capital.
📌 How to Use RMD in Your Strategy
1️⃣ Momentum Breakout Strategy
✔ Go Long when NormUp > L → Indicates strong upward deviation
✔ Go Short when NormDn < S → Indicates sharp downward momentum
✔ Use SD Mult to control sensitivity and smoothness
2️⃣ Volatility Regime Awareness
✔ In low-volatility → Decrease SD multiplier to catch early signals
✔ In high-volatility → Increase SD multiplier to avoid noise
🔍 Bonus: Extra Trend Structure Plots
RMD includes optional ALMA + multi-EMA trend band overlays:
• Use them to confirm momentum alignment
• Great for hybrid strategies (e.g. trend + momentum)
📌 Conclusion
Relative Momentum Deviation (RMD) by QuantEdgeB offers a clean and adaptive approach to momentum trading by combining a normalized RSI structure with volatility-driven breakout zones.
With built-in signal confirmation, smart filtering, and rich backtest capabilities, RMD excels as a dynamic momentum companion for both discretionary and system traders.
🔹 Key Takeaways:
1️⃣ Adaptive Deviation Zones – Responsive to real-time volatility
2️⃣ Normalized RSI Core – Clean, smoothed momentum insight
3️⃣ Backtest + Visual Toolkit – Strategy-friendly and ready to deploy
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Kripto Pro Quantum Strategy V2 DEMOIndicator Name: Kripto Pro Quantum Strategy V2
Overview:
This indicator combines advanced technical analysis techniques to detect market trends, breakouts, and price dynamics. It utilizes the following key methods:
1. Fibonacci Supertrend Calculation:
• Three separate supertrend lines are calculated using Fibonacci ratios (0.618, 1.618, 2.618).
• The average of these lines is then smoothed with an EMA (Exponential Moving Average) to create a stable trend indicator sensitive to market volatility.
2. Dynamic Trendline Detection:
• Pivot points (swing highs and lows) are identified over a specified lookback period (e.g., 8 bars).
• Upper and lower trendlines are dynamically drawn based on these pivot points, with “backpainting” used to update historical levels and visualize support/resistance.
3. Breakout Detection:
• The indicator monitors price action relative to the trendlines.
• When the price moves above the upper trendline or below the lower trendline, potential long or short signals are generated.
4. Directional Movement Index (DMI):
• DMI is calculated (DI+ and DI–) to gauge the strength of the current trend, providing additional confirmation for signals.
5. SMA Crossovers:
• Fast and slow Simple Moving Averages (SMA) are used to verify the market trend and add further confirmation to the signals.
6. Advanced Risk Management:
• Dynamic stop loss and take profit levels are determined using ATR or percentage-based methods.
• Trailing stops and break-even adjustments help minimize risk and secure profits.
How It Works:
• The indicator processes the above calculations to display trends, support/resistance, and breakout points on the chart.
• Based on these insights, buy and sell signals are marked on the chart.
• Risk management settings automatically set stop loss and take profit levels.
How to Use It:
1. Add to TradingView:
• Paste the code into TradingView’s Pine Script editor and add it as a strategy.
2. Customize Settings:
• Adjust parameters such as ATR, Fibonacci factors, SMA lengths, and risk management settings to suit your trading style.
3. Monitor Signals:
• Follow the buy (BUY) and sell (SELL) labels on the chart to identify potential entry and exit points.
4. Backtest Performance:
• Review the backtest results in TradingView to evaluate how the strategy performed historically.
5. Live Application:
• Apply the strategy on TradingView to observe how the technical analysis and risk management signals guide your trades.
Median RSI SD| QuantEdgeB📈 Introducing Median RSI SD by QuantEdgeB
🛠️ Overview
Median RSI SD is a hybrid momentum tool that fuses two powerful techniques: Median Price Filtering and RSI-based Momentum. The result? A cleaner, more responsive oscillator designed to reduce noise and increase clarity in trend detection and potential reversals.
By applying the RSI not to raw price but to the percentile-based median, the indicator adapts better to real structural shifts in the market while filtering out temporary price spikes.
✨ Key Features
🔹 Smoothed RSI Momentum
Utilizes a percentile-based median as input to RSI, reducing volatility and enhancing signal reliability.
🔹 Volatility-Weighted SD Zones
Automatically detects overbought/oversold extremes using ±1 standard deviation bands on the median, adapting to current market volatility.
🔹 Trend Signal Overlay
A directional trend signal (Long / Short / Neutral) is derived from the RSI crossing custom thresholds, combined with position relative to SD bands.
🔹 Visual Labeling System
Optional in-chart labels for Long / Short signals and fully color-customizable theme modes.
📊 How It Works
1️⃣ Median RSI Calculation
Instead of using the close price directly, the script first computes a smoothed median via percentile ranking. RSI is then applied to this filtered stream, improving reactivity without overfitting to short-term noise.
2️⃣ Standard Deviation Filtering
Upper and lower SD bands are calculated around the median to identify extreme conditions. A position near the upper SD while RSI is below the short threshold triggers bearish bias. The reverse applies for longs.
3️⃣ Signal Generation
• ✅ Long Signal → RSI crosses above the Long Threshold (default: 65) and price holds above lower SD.
• ❌ Short Signal → RSI crosses below the Short Threshold (default: 45), typically within upper SD range.
4️⃣ Contextual Highlighting
Zone fills on the chart and RSI subgraph indicate Overbought (>75) and Oversold (<25) conditions for added clarity.
⚙️ Custom Settings
• RSI Length → Default: 21
• Median Length → Default: 10
• Long Threshold → Default: 65
• Short Threshold → Default: 45
• Color Mode → Choose from Strategy, Solar, Warm, Cool, Classic, Magic
• Signal Labels Toggle → Optional in-chart long/short labels
👥 Who Should Use It?
✅ Swing & Momentum Traders → Filter entries based on confirmed directional RSI setups.
✅ Range-Bound Traders → Use SD thresholds to spot fakeouts or exhaustion zones.
✅ Intraday Strategists → Enhanced signal clarity makes it usable even on lower timeframes.
✅ System Builders → Combine this signal with price action or confluence layers for smarter rules.
📌 Conclusion
Median RSI SD by QuantEdgeB is more than just a modified oscillator—it's a robust momentum confirmation framework designed for modern volatility. By replacing noisy price feeds with a statistically stable input and layering RSI + SD logic, this tool provides high-clarity signals without sacrificing responsiveness.
🔹 Key Takeaways:
1️⃣ Median-filtered RSI eliminates noise without lag
2️⃣ Standard deviation bands identify exhaustion zones
3️⃣ Reliable for both trend continuation and mean-reversion strategies
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Trailing SL | OpusTrailing SL | Opus
Overview 👁️
Trailing SL by Opus is a versatile and intuitive indicator designed to enhance risk management for traders by providing dynamic trailing stop loss (SL) levels for both long and short positions. Built with flexibility in mind, this tool adapts seamlessly across all timeframes and offers a visually appealing experience with customizable dynamic theme colors. Whether you're locking in profits or protecting against reversals, Trailing SL by Opus delivers precision and clarity to your trading strategy.
Key Features 🔑
Trailing SL for Long and Short Positions : Automatically calculates and adjusts trailing stop loss levels for both long and short trades, ensuring robust risk management tailored to your position direction.
Universal Timeframe Compatibility : Functions effectively across all TradingView timeframes, from 1-minute scalping charts to daily swing setups, offering consistent performance regardless of your trading style.
Dynamic Theme Color : Adapts the indicator’s visual style to your chart with customizable color themes, enhancing readability and aligning with your aesthetic preferences.
Real-Time Adjustments : Continuously updates stop loss levels based on price action, helping you secure gains as trends develop while minimizing exposure to sudden market shifts.
Lightweight Design : Optimized for performance, ensuring smooth operation without cluttering your chart or slowing down your analysis.
How to Use 🎯
Trailing SL by Opus simplifies risk management by plotting dynamic stop loss levels directly on your chart. Here’s how to make the most of it:
Long Positions : When entering a buy trade, the indicator places a trailing stop loss below the price, adjusting upward as the market rises to lock in profits. Watch for the stop level to trail the price action, providing a safety net against downturns.
Short Positions : For sell trades, the trailing stop loss appears above the price, moving downward as the market falls, safeguarding your gains while allowing room for natural fluctuations.
Trend Tracking : Use the indicator to gauge trend strength—tightening stop levels often signal robust momentum, while wider gaps may indicate consolidation or potential reversals.
Visual Cues : The dynamic theme color highlights the stop loss line, making it easy to spot against your chart background, whether you’re in a fast-moving market or reviewing historical data.
Settings ⛓️
Customize Trailing SL by Opus to fit your trading preferences with the following options:
Theme : Choose your preferred color scheme to match your chart’s look. Options include Dark (default), Light, or custom dynamic themes that adapt to your TradingView setup.
Length : Adjust the lookback period used to compute the trailing stop loss. The default setting is 12, providing a balanced sensitivity to price movements, but you can increase it for smoother trailing in longer trends or decrease it for tighter control in volatile conditions.
Line Style : Modify the thickness or style of the stop loss line for better visibility, ensuring it stands out in your analysis.
Default Settings
Theme : Dark – A sleek, high-contrast option ideal for most chart backgrounds.
Length : 12 – A moderate setting that balances responsiveness and stability across various market conditions.
Summary 📃
Trailing SL by Opus is an essential tool for traders seeking a reliable, adaptive stop loss solution. With its dual-position trailing capability, timeframe versatility, and customizable visuals, it empowers you to manage risk effectively while staying in tune with market dynamics. Whether you’re a day trader chasing quick moves or a swing trader riding longer trends, this indicator offers the precision and adaptability you need to trade with confidence.
Disclaimer ⚠️
Trailing SL by Opus is a tool designed to assist traders in visualizing and managing stop loss levels and is not intended as financial advice. Trading involves significant risks, including the potential loss of capital.
Past performance is not indicative of future results. Users should conduct their own research, assess their risk tolerance, and make independent trading decisions. The creators of Trailing SL by Opus are not responsible for any financial outcomes resulting from its use.
HALC SYHALC SY @CK
Heikin Ashi Last Candle shows color of the last closed 30m heikin ashi candle for every new candle on your graph indicating local trend for scalp & short term trading in rder to help u choose right direction in your 1-5m tf trading. Non-repainting & designed for use on any graph type incl HA, Renko and other problematic syntetic as well as any of your own.
Dont recommend as entry signal but strong support to confirm/deny your trade system entry signal. Enjoy!
SEMA JMA | QuantEdgeB
📈 Introducing SEMA JMA by QuantEdgeB
🛠️ Overview
SEMA JMA is a precision-engineered, dual-signal trend indicator that blends Jurik Moving Average (JMA) logic with Double Exponential Moving Average (DEMA) smoothing and normalized statistical filters.
This advanced indicator is built for high-quality trend detection, reducing false signals by confirming momentum through both price-based SD bands and normalized JMA logic. The result is a powerful, noise-filtered tool ideal for directional trading in volatile and ranging environments.
SEMA JMA offers adaptive volatility bands, backtest-ready analytics, and dynamic signal labeling, making it a favorite for traders demanding speed, precision, and strategic clarity.
✨ Key Features
🔹 Hybrid JMA + DEMA Core
Combines the ultra-smooth JMA with lag-reducing DEMA for exceptional trend clarity.
🔹 Volatility-Based SD Band Filtering
Uses rolling standard deviation on JMA for adaptive long/short bands that respond to market dynamics.
🔹 Normalized Price Filter Confirmation
A second JMA stream is normalized against price and filtered via SD for added trend confirmation and false signal suppression.
🔹 Backtest Integration & Equity Curve Plotting
Built-in compatibility with QuantEdgeB/BacktestingIndV2, delivering historical metrics, equity visualization, and strategic evaluation.
🔹 Fully Customizable UI
Includes label toggles, signal overlays, visual themes, and backtest table position selection.
📊 How It Works
1️⃣ JMA-DEMA Hybrid Trend Engine
The foundation of SEMA JMA lies in a custom-built JMA engine, enhanced by a DEMA smoothing layer to:
• Minimize lag without losing trend integrity.
• Maintain responsiveness in noisy or low-volume environments.
• Create a central trend structure used by both raw price and normalized filters.
2️⃣ Standard Deviation Band Filtering
SEMA JMA applies a rolling SD filter over the JMA signal. This creates adaptive upper and lower bands:
• Long Signal = Price > Upper Band
• Short Signal = Price < Lower Band
These bands adjust based on price volatility, offering a dynamic alternative to traditional fixed thresholds.
3️⃣ Normalized JMA for Momentum Confirmation
A second JMA-DEMA structure is normalized by dividing by price, then smoothed:
• If the normalized signal rises above -1, it suggests upside pressure.
• If it drops below -1, it signals momentum decay.
Only when both raw and normalized signals agree does the indicator issue a trade trigger.
✅ Signal Logic
📌 Long Signal →
🔹 Price breaks above volatility-adjusted upper SD band
🔹 AND Normalized JMA rises above -1
📌 Short Signal →
🔹 Price breaks below lower SD band
🔹 AND Normalized JMA falls below -1
⚙️ SEMA JMA stays in its active trend state until an opposing signal triggers, enabling tren riding while filtering short lived swings.
👥 Who Should Use It?
✅ Swing & Trend Traders → Ride strong directional moves with reduced whipsaws
✅ Volatility-Adaptive Systems → Filter trades using rolling SD-based thresholds
✅ Quantitative Strategy Builders → Deploy within algo-driven strategies using backtest-ready metrics
✅ Risk-Aware Traders → Use dual confirmation to minimize signal risk
⚙️ Customization & Default Settings
🔧 Core Settings:
• JMA Length (Default: 35) → Defines JMA sensitivity.
• DEMA Length (Default: 20) → Smoothing after JMA to refine structure.
• Normalized JMA Lengths → Control confirmation layer smoothness (default: 1 for short and long).
• Standard Deviation Length (Default: 30) → Determines the volatility lookback.
• SD Weight Factors → Separate values for long (default: 1.0) and short (default: 1.002) bands.
📊 Backtest Mode
SEMA JMA includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess historical success rate.
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
🚀 Why This Matters?
✅ Strategy Validation → Gain insight into historical trend accuracy.
✅ Customization Insights → See how different settings impact performance.
✅ Risk Awareness → Understand potential drawdowns before deploying capital.
📌 How to Use SEMA JMA
🌀 Trend-Following Strategy
✔ Go Long: When price breaks above SD band and normalized momentum rises
✔ Go Short: When price breaks below SD band and normalized momentum falls
✔ Stay in position: Until signal reversal confirms
⚙️ Volatility-Adaptive Configuration
✔ Tune w1 (Long SD weight) and w2 (Short SD weight) for responsiveness
✔ Increase SD length in noisy markets for smoother bands
📌 Conclusion
SEMA JMA by QuantEdgeB delivers surgical precision trend signals using a dual-layer approach:
• JMA + DEMA core smoothing
• Statistical SD breakout filters
• Normalized confirmation logic
It’s a versatile indicator suited for trend-following, volatility tracking, and system-based signal generation—engineered for clarity, confidence, and adaptability.
🔹 Key Takeaways:
1️⃣ Multi-Filter Trend Logic – JMA + DEMA + Normalized filtering for high-confidence signals
2️⃣ SD-Based Volatility Control – Reduces noise, avoids ATR limitations
3️⃣ Quant-Ready System – Includes full backtesting
📌 Master your market edge with precision – SEMA JMA | QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
VICI Intra-Day LevelsIntroducing the "Ultimate Day Trading Indicator"
Our powerful new indicator is designed specifically for day traders , providing essential levels that help define key market movements throughout the session. This tool automatically plots the Previous Day’s High and Low, Overnight High and Low, Today’s Open, and the Initial Balance (First Hour’s High and Low) —giving traders clear reference points to navigate intraday price action with confidence.
A standout feature of this indicator is the 30-Second Opening Range , which captures the first 30 seconds of market activity and extends it across the entire trading session. Unlike TradingView’s standard opening range calculations—where the range adjusts based on the selected time frame (e.g., 5-minute or 15-minute open)— our tool ensures that the 30-second range remains constant across all time frames of 1-hour or lower. This allows traders to consistently track momentum shifts and breakout zones, regardless of their preferred chart view.
This indicator is fully compatible with stocks and futures, providing traders with essential market structure insights. For stock traders, a key configuration change is required: adjust the opening range start time forward by one hour to align with the stock market open (9:30-9:31 AM EST). By default, it is set to 8:30-8:31 AM EST to match CME futures trading hours.
Customization is at the core of this tool. All lines, styles, and drawings are fully configurable, with default settings optimized for a clean, minimalistic look. Whether you trade equities or futures, this indicator enhances your ability to identify key levels, react to market shifts, and trade with greater precision.
Upgrade your trading experience today with this must-have day trading tool and Conquer The Markets!
Risk Disclaimer:
Trading carries significant risks, and many day traders experience losses. All content, tools, scripts, articles, and educational resources provided by Vici Trading Solutions are intended solely for informational and educational purposes. Remember, past performance is not indicative of future results. The indicator published on TradingView is fully compliant, does not constitute investment advice, and is not exclusively designed for qualified investors.
Money Maker(wundertrade bot)non-repainting trend-following strategy that combines multiple technical indicators with robust risk management features. Designed for both manual and automated trading, this strategy uses Supertrend filters across multiple timeframes to identify high-probability trade setups while incorporating RSI-based confirmation and exit signals.
Key Features:
Multi-Timeframe Trend Confirmation:
Uses 1-3 Supertrend indicators on different timeframes
Optional RSI filter for additional confirmation
Advanced Risk Management:
Three-tier take profit system with customizable percentages (default: 30%/30%/40%)
Stop loss that can automatically move to breakeven after specified TP level
Trailing stop loss activates after TP2 is hit
Non-Repainting Signals:
Strict anti-repainting logic prevents false backtest results
Flexible Trade Execution:
Full WunderTrading integration with JSON alert formatting
Visual trade markers and target levels on chart
Comprehensive Exit Logic:
Multiple exit conditions (TP targets, stop loss, RSI exits, trend reversals)
Optional RSI-based early exit signals
Ideal Market Conditions:
Works best in trending markets (both bullish and bearish)
Suitable for 1m-15m timeframes (optimize Supertrend periods accordingly)
Performs well with liquid assets that have good trend characteristics
Recommended Settings:
Start with default parameters
Adjust Supertrend periods/multipliers based on asset volatility
Modify TP percentages according to your risk tolerance
Enable RSI filter in ranging markets
Note: Always test thoroughly in a demo environment before live trading. Past performance is not indicative of future results.
Open Range Candle [TradeWithRon]This Open Range Break indicator is a tool designed to help traders identify and visualize key price levels using the Opening Range Breakout (ORB) strategy. This indicator dynamically plots critical levels such as the high, low, and middle of a predefined range, along with Fibonacci retracement levels for further analysis. It also features several customization options to fit various trading styles.
Key Features:
Session Setup: Allows the user to set the time offset in GMT - or + to adjust the ORB session to their local time zone.
The default ORB session is set at 9:45 AM but can be adjusted based on user preferences.
Warning: Only supports 5-minute and 15-minute timeframes.
Visual Customization:
Line Styles: Users can choose from Solid, Dotted, or Dashed lines to represent key price levels.
Color Adjustments: Customizable colors for the high, middle, and low levels of the range, as well as Fibonacci levels and vertical lines.
Labeling Options: The labels can be customized in terms of size and color, helping to keep the chart clean and clear.
Fibonacci Retracement Levels: Fibonacci retracement levels are automatically drawn between the high and low of the range. Users can toggle these on or off and customize the offset to suit different trading instruments.
Time-Based Visuals: A vertical line is drawn at the start of the ORB session, providing a clear visual marker of where the breakout starts. This is useful for pinpointing key trade setups.
The indicator supports both 5-minute and 15-minute timeframes.
EMA Integration: The user can enable an Exponential Moving Average (EMA) on any chosen timeframe with adjustable parameters such as the length and color, providing additional trend context.
Dynamic Labeling: The indicator labels the high, middle, and low points of the ORB with custom text. These labels are updated in real-time as new data becomes available.
Limit on Lines and Labels: The indicator allows for a limit on the number of lines and labels drawn to maintain a clean chart, preventing unnecessary clutter as more ORB levels are plotted.
Daily Bias Information: The indicator assesses the daily trend bias (bullish or bearish) based on the relationship between the open and close prices for the last three daily candles, providing context for the current trading session.
Countdown Timer: The remaining time until the end of the current session is displayed in a countdown format, which helps traders to time their entries and exits more precisely.
How To Use:,
- Set the Timeframe to 15 minutes.
- Adjust the Time Zone Offset if needed, based on your local time zone.
- Enable the Show ORB feature for the first 15-minute candle to be drawn as the opening range. - The indicator will automatically mark the high, middle, and low points of the range.
Identify Breakout Points:
Bullish Breakout: If the price breaks above the high of the 15-minute opening range, this indicates a potential bullish breakout. The indicator will plot a vertical line marking the breakout point for further confirmation.
Bearish Breakout: If the price breaks below the low of the 15-minute opening range, this signals a potential bearish breakout. Again, the indicator will plot the breakout point with a vertical line for easy identification.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Tradewithron) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future
Reversal Radar X™ - Chart OverlayReversal Radar X™: Diamond Edition is a premium invite-only indicator designed to help traders identify high-probability market reversals, trend shifts, and volatility breakouts with precision and simplicity.
This custom-built strategy combines multiple powerful components:
🔶 Top Reversal Detection: Orange diamonds appear when bullish momentum peaks and begins to fade, using custom MACD histogram logic.
🔷 Bottom Reversal Detection: Aqua diamonds mark exhaustion of bearish pressure and potential price reversals from local lows.
🔺 Volatility Squeeze Breakouts: Yellow triangle alerts trigger when the market breaks out of low-volatility zones with volume confirmation.
📈 Color-Shifting Trend MAs: Dual moving averages shift between teal (bullish) and orange (bearish) for instant trend recognition.
📊 Multi-Timeframe Reversal Radar: A compact dashboard updates in real-time, scanning for reversal conditions on the 1H, 4H, and 1D timeframes to align lower and higher timeframe momentum.
Whether you're swing trading, day trading, or just trying to catch cleaner entries and exits — Reversal Radar X™ provides clarity without clutter. No repainting. No fluff. Just clean, logical signals you can act on.
🔐 Access Instructions:
This is an invite-only script.
To gain access:
✅ Subscribe to the YouTube channel
💬 Comment your TradingView username on the latest strategy video
Once verified, your account will be granted access to this exclusive tool.
TradeCrafted - Simple Scalping tool📈 TradeCrafted - Simple Scalping with Points Earned ( Suitable for use in any market — stocks, forex, crypto, commodities, and more.)
🔍 How It Works:
This indicator is designed for scalpers and short-term traders, combining the strength of Stochastic crossovers and Exponential Moving Averages (EMA) to generate BUY and SELL signals with real-time performance tracking.
Once a signal is generated:
A floating label (BUY or SELL) appears directly on the chart.
A horizontal line is drawn from the signal candle and automatically extends to the current bar.
The points gained or lost from the signal price to the current candle’s close are dynamically shown beside the price.
✅ Best Use Case:
This script is ideal for:
Scalping strategies on lower timeframes (1min, 5min, 15min)
Quick visual decision-making based on momentum + trend alignment
📌 Notes:
Only one signal (BUY or SELL) is displayed at a time to reduce clutter.
Signals are updated in real time — if no signal is active, the system waits silently.
This is a visual-only tool and does not repaint after the bar closes.
🚫 Disclaimer:
This script is for educational purposes only. Trading involves substantial risk. Please test thoroughly and use proper risk management before applying to live markets.
AlphaSignal | MindMarketAlphaSignal — Smart Indicator for Precise Entries
What does AlphaSignal do?
AlphaSignal looks for moments when the price moves too far from its average, volume spikes, and overall market activity increases. When these things line up, it gives you a clean, high-quality trading signal — either to buy or sell.
How it works :
Activity & Volume Detection
It monitors for sudden bursts in trading volume and volatility — clear signs that something important is happening in the market.
Price Deviation with Nadaraya-Watson Envelope
The indicator uses a smooth curve (called the Nadaraya-Watson estimate) to track the average price. When price drifts too far from this curve, it might be ready to snap back. That’s where AlphaSignal starts paying attention.
Signal Rating System
Each potential trade gets a score based on:
Market activity
Volume deviation
How far price is from the NW envelope
(Optionally) Trend strength and momentum via ADX, RSI, MACD
Only if the total score is high enough — a signal is fired.
Advanced Filters (Optional)
Want more confirmation? Turn on ADX, RSI, and MACD checks to avoid weak setups during choppy, low-trend periods.
Cooldown Logic
To avoid overtrading, AlphaSignal waits a set number of bars between signals — you can customize this.
Trading Suggestions (Signal Panel)
AlphaSignal gives you real-time trading guidance with a simple suggestion box:
BUY NOW / SELL NOW
All conditions are met, rating is strong — take action.
PREPARE BUY / PREPARE SELL
No full confirmation yet, but the price is very close to key levels (within 1.5% of the NW envelope). Get ready — a signal might appear soon.
AWAIT BUY / AWAIT SELL
The market is leaning toward a buy or sell, but price isn’t in a good spot yet. Be patient and watch for better positioning.
Automated Lot Size Calculator // © Laurent3372
The "Automated Lot Size Calculator" is a sophisticated tool for traders who want to calculate the ideal position size based on their capital, risk, and the asset pair they wish to trade. Here is a detailed description of its features:
1. Language Selector
You can select the interface language (French, English, Spanish, German, or Italian). This makes the tool accessible and understandable to an international audience.
2. User Settings for Risk Calculation
The risk percentage per trade is configurable. The entered percentage is divided by 100 to obtain a fraction (for example, 1% becomes 0.01).
3. Selection of Equity in USD or EUR
The user chooses whether their equity is in US dollars or euros. Based on this choice, the calculation is based on the appropriate value.
A field for entering equity is available for both currencies, with a default initial amount. 4. Stop Loss in Pips
The stop loss can be entered in decimal places (such as 2.8 pips), allowing for high precision in risk calculations.
5. Interface Color Customization
You can configure the text and background colors for headers, values, and other visual elements, allowing you to customize the display.
6. Display Table Position and Size
You can choose the table location (top right, top left, bottom right, bottom left) as well as the display size (extra small, small, normal, large, extra large).
7. Asset Pair Detection and Pip Value
The code automatically detects the financial instrument (currency, crypto, precious metal) and adjusts the pip value according to the asset's characteristics. For example:
For JPY pairs, the pip is 0.01.
For cryptocurrencies, the pip is adjusted to 0.01.
For precious metals such as gold and silver, specific adjustments are also made.
8. Retrieving real-time exchange rates
The script uses the request.security function to retrieve real-time exchange rates for currencies or cryptocurrencies.
The code automatically adapts according to the trading pair and retrieves the appropriate rate (e.g., EUR/GBP, BTC/USD).
9. Calculating the risk amount in USD or EUR
The risk is calculated based on the selected capital (USD or EUR).
If the capital is in euros, it is converted to USD to simplify lot calculations.
10. Calculating position sizes in standard lots
The formula for calculating position sizes varies depending on the asset:
EUR/GBP is calculated with a specific adjustment.
Precious metals and cryptocurrencies have their own adapted formulas.
Exotic currencies incorporate a special conversion factor, taking into account pairs with more than two decimal places. 11. Lot Type Definition
The lot type is automatically adjusted according to the asset: "Micro Lot", "Standard Lot", or "Exotic Lot".
12. Results Display with Dynamic Translation
The results (currency, equity, risk, lot type, and size) are displayed in real time and automatically translated into the selected language.
The left column contains the parameters, and the right column displays the corresponding values.
13. Dynamically Creating the Results Table
The table is dynamically created using the specified position and size options. It contains all essential information, such as currency, equity, risk, and position size in lots.
Conclusion:
This script allows traders to automatically calculate their ideal position size by taking into account the currency, desired risk, and asset-specific parameters (such as cryptocurrencies and metals). Thanks to its customization options and automatic translations, it is suitable for global use, regardless of user profile.
Rogue ORB PRORogue ORB Pro is a precision-engineered Opening Range Breakout (ORB) indicator built for active intraday traders who need real signals, not noise.
This tool identifies high-probability breakout entries from the opening range, enhanced with optional ATR-based stop loss levels, deviation targets, cooldown filters, and a relative volume gate to filter weak setups.
🔍 Key Features:
Opening Range High/Low: Drawn from a user-defined time window and locked for the day
Deviations: Automatically plots target zones above and below the OR range (e.g. 1, 2 deviations)
Buy/Sell Signals: Triggered on breakout of the OR High/Low with configurable breakout logic (touch or close)
ATR Stop Loss Line: Dynamically drawn at a fixed ATR distance from breakout candle, with optional SL label
Cooldown Period: Prevents back-to-back signals by enforcing a user-defined bar delay between entries
Volume Filter: Optional relative volume filter that requires breakout candles to exceed a custom volume threshold
VWAP Overlay: Visual VWAP for directional bias and confluence
P-Motion Trend | QuantEdgeB⚡ Introducing P-Motion Trend (PMT) by QuantEdgeB
🧭 Overview
P-Motion Trend is a refined trend-following framework built for modern market dynamics. It combines DEMA filtering, percentile-based smoothing, and volatility-adjusted envelopes to create a clear, noise-filtered trend map directly on your chart.
This overlay indicator is engineered to detect breakout zones, trend continuation setups, and market regime shifts with maximum clarity and minimum lag.
Whether you're swing trading crypto, managing intraday FX moves, or positioning in equities — P-Motion Trend adapts, aligns, and simplifies.
🧠 Core Logic
1️⃣ DEMA Filtering Core
The input source is processed through a Double EMA to reduce lag while retaining trend sensitivity.
2️⃣ Percentile Median Smoothing
To eliminate short-lived spikes, the DEMA output is passed through a percentile median rank — effectively smoothing without distortion.
3️⃣ Volatility Envelope with EMA Basis
An exponential moving average (EMA) is applied to the smoothed median, and standard deviation bands are wrapped around it:
• ✅ Long Signal → Price closes above the upper band
• ❌ Short Signal → Price closes below the lower band
• ➖ Inside Band = Neutral
These bands expand/contract with market volatility — protecting against false breakouts in quiet regimes and adapting quickly to strong moves.
📊 Visual & Analytical Layers
• 🎯 Bar Coloring: Color-coded candles highlight trend state at a glance.
• 📈 EMA Ribbon Overlay: A dynamic ribbon of EMAs helps confirm internal momentum and detect transitions (trend decay or acceleration).
• 🔹Gradient Fill Zones: Visually communicates squeeze vs. expansion phases based on band width.
⚙️ Custom Settings
• EMA Length – Defines the core trend path (default: 21)
• SD Length – Controls volatility band smoothing (default: 30)
• SD Mult Up/Down – Sets thresholds for breakout confirmation (default: 1.5)
• DEMA Filter Source – Raw input used for trend processing
• DEMA Filter Length – Sets DEMA smoothing (default: 7)
• Median Length – Percentile-based smoothing window (default: 2)
📌 Use Cases
✅ Trend Confirmation
Use PMT to confirm whether the price action is structurally valid for trend continuation. A close above the upper band signals entry alignment.
🛡️ Reversal Guard
Avoid early reversion entries. PMT keeps you in-trend until price truly breaks structure.
🔍 Momentum Visualizer
With multiple EMA bands, the indicator also functions as a momentum envelope to spot divergence between price and smoothed trend flow.
🔚 Conclusion
P-Motion Trend is a hybrid volatility + trend system built with precision smoothing, dynamic filtering, and clean visual output. It balances agility with stability, helping you:
• Filter out price noise
• Enter with structure
• Stay in trades longer
• Exit with confidence
🧩 Summary of Benefits
• 🔹 Lag-minimized trend structure via DEMA core
• 🔹 Real-time volatility band adaptation
• 🔹 Gradient visual feedback on compression/expansion
• 🔹 EMA ribbon assists in phase detection
• 🔹 Suitable for all markets & timeframes
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
DEGA RMA | QuantEdgeB🧠 Introducing DEGA RMA (DGR ) by QuantEdgeB
🛠️ Overview
DEGA RMA (DGR) is a precision-engineered trend-following system that merges DEMA, Gaussian kernel smoothing, and ATR-based envelopes into a single, seamless overlay indicator. Its mission: to filter out market noise while accurately capturing directional bias using a layered volatility-sensitive trend core.
DGR excels at identifying valid breakouts, sustained momentum conditions, and trend-defining price behavior without falling into the trap of frequent signal reversals.
🔍 How It Works
1️⃣ Double Exponential Moving Average (DEMA)
The system begins by applying a DEMA to the selected price source. DEMA responds faster than a traditional EMA, making it ideal for capturing transitions in momentum.
2️⃣ Gaussian Filtering
A custom Gaussian kernel is used to smooth the DEMA signal. The Gaussian function applies symmetrical weights, centered around the most recent bar, effectively softening sharp price oscillations while preserving the underlying trend structure.
3️⃣ Recursive Moving Average (RMA) Core
The filtered Gaussian output is then processed through an RMA to generate a stable dynamic baseline. This baseline becomes the foundation for the final trend logic.
4️⃣ ATR-Scaled Breakout Zones
Upper and lower trend envelopes are calculated using a custom ATR filter built on DEMA-smoothed volatility.
• ✅ Long Signal when price closes above the upper envelope
• ❌ Short Signal when price closes below the lower envelope
• ➖ Neutral when inside the band (no signal noise)
✨ Key Features
🔹 Multi-Layer Trend Model
DEMA → Gaussian → RMA creates a signal structure that is both responsive and robust.
🔹 Volatility-Aware Entry System
Adaptive ATR bands adjust in real-time, expanding during high volatility and contracting during calm periods.
🔹 Noise-Reducing Gaussian Kernel
Sigma-adjustable kernel ensures signal smoothness without introducing excessive lag.
🔹 Clean Visual System
Candle coloring and band fills make trend state easy to read and act on at a glance.
⚙️ Custom Settings
• DEMA Source – Input source for trend core (default: close)
• DEMA Length – Length for initial smoothing (default: 30)
• Gaussian Filter Length – Determines smoothing depth (default: 4)
• Gaussian Sigma – Sharpness of Gaussian curve (default: 2.0)
• RMA Length – Core baseline smoothing (default: 12)
• ATR Length – Volatility detection period (default: 40)
• ATR Mult Up/Down – Controls the upper/lower threshold range for signals (default: 1.7)
📌 How to Use
1️⃣ Trend-Following Mode
• Go Long when price closes above the upper ATR band
• Go Short when price closes below the lower ATR band
• Remain neutral otherwise
2️⃣ Breakout Confirmation Tool
DGR’s ATR-based zone logic helps validate price breakouts and filter out false signals that occur inside compressed ranges.
3️⃣ Volatility Monitoring
Watch the ATR envelope width — a narrowing band often precedes expansion and potential directional shifts.
📌 Conclusion
DEGA RMA (DGR) is a thoughtfully constructed trend-following framework that goes beyond basic moving averages. Its Gaussian smoothing, adaptive ATR thresholds, and layered filtering logic provide a versatile solution for traders looking for cleaner signals, less noise, and real-time trend awareness.
Whether you're trading crypto, forex, or equities — DGR adapts to volatility while keeping your chart clean and actionable.
🔹 Summary
• ✅ Advanced Smoothing → DEMA + Gaussian + RMA = ultra-smooth trend core
• ✅ Volatility-Adjusted Zones → ATR envelope scaling removes whipsaws
• ✅ Fully Customizable → Tailor to any asset or timeframe
• ✅ Quant-Inspired Structure → Built for clarity, consistency, and confidence
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Gaussian Smooth Trend | QuantEdgeB🧠 Introducing Gaussian Smooth Trend (GST) by QuantEdgeB
🛠️ Overview
Gaussian Smooth Trend (GST) is an advanced volatility-filtered trend-following system that blends multiple smoothing techniques into a single directional bias tool. It is purpose-built to reduce noise, isolate meaningful price shifts, and deliver early trend detection while dynamically adapting to market volatility.
GST leverages the Gaussian filter as its core engine, wrapped in a layered framework of DEMA smoothing, SMMA signal tracking, and standard deviation-based breakout thresholds, producing a powerful toolset for trend confirmation and momentum-based decision-making.
🔍 How It Works
1️⃣ DEMA Smoothing Engine
The indicator begins by calculating a Double Exponential Moving Average (DEMA), which provides a responsive and noise-resistant base input for subsequent filtering.
2️⃣ Gaussian Filter
A custom Gaussian kernel is applied to the DEMA signal, allowing the system to detect smooth momentum shifts while filtering out short-term volatility.
This is especially powerful during low-volume or sideways markets where traditional MAs struggle.
3️⃣ SMMA Layer with Z-Filtering
The filtered Gaussian signal is then passed through a custom Smoothed Moving Average (SMMA). A standard deviation envelope is constructed around this SMMA, dynamically expanding/contracting based on market volatility.
4️⃣ Signal Generation
• ✅ Long Signal: Price closes above Upper SD Band
• ❌ Short Signal: Price closes below Lower SD Band
• ➖ No trade: Price stays within the band → market indecision
✨ Key Features
🔹 Multi-Stage Trend Detection
Combines DEMA → Gaussian Kernel → SMMA → SD Bands for robust signal integrity across market conditions.
🔹 Gaussian Adaptive Filtering
Applies a tunable sigma parameter for the Gaussian kernel, enabling you to fine-tune smoothness vs. responsiveness.
🔹 Volatility-Aware Trend Zones
Price must close outside of dynamic SD envelopes to trigger signals — reducing whipsaws and increasing signal quality.
🔹 Dynamic Color-Coded Visualization
Candle coloring and band fills reflect live trend state, making the chart intuitive and fast to read.
⚙️ Custom Settings
• DEMA Source: Price stream used for smoothing (default: close)
• DEMA Length: Period for initial exponential smoothing (default: 7)
• Gaussian Length / Sigma: Controls smoothing strength of kernel filter
• SMMA Length: Final smoothing layer (default: 12)
• SD Length: Lookback period for standard deviation filtering (default: 30)
• SD Mult Up / Down: Adjusts distance of upper/lower breakout zones (default: 2.5 / 1.8)
• Color Modes: Six distinct color palettes (e.g., Strategy, Warm, Cool)
• Signal Labels: Toggle on/off entry markers ("𝓛𝓸𝓷𝓰", "𝓢𝓱𝓸𝓻𝓽")
📌 Trading Applications
✅ Trend-Following → Enter on confirmed breakouts from Gaussian-smoothed volatility zones
✅ Breakout Validation → Use SD bands to avoid false breakouts during chop
✅ Volatility Compression Monitoring → Narrowing bands often precede large directional moves
✅ Overlay-Based Confirmation → Can complement other QuantEdgeB indicators like K-DMI, BMD, or Z-SMMA
📌 Conclusion
Gaussian Smooth Trend (GST) delivers a precision-built trend model tailored for modern traders who demand both clarity and control. The layered signal architecture, combined with volatility awareness and Gaussian signal enhancement, ensures accurate entries, clean visualizations, and actionable trend structure — all in real-time.
🔹 Summary Highlights
1️⃣ Multi-stage Smoothing — DEMA → Gaussian → SMMA for deep signal integrity
2️⃣ Volatility-Aware Filtering — SD bands prevent false entries
3️⃣ Visual Trend Mapping — Gradient fills + candle coloring for clean charts
4️⃣ Highly Customizable — Adapt to your timeframe, style, and volatility
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Kernel Weighted DMI | QuantEdgeB📊 Introducing Kernel Weighted DMI (K-DMI) by QuantEdgeB
🛠️ Overview
K-DMI is a next-gen momentum indicator that combines the traditional Directional Movement Index (DMI) with advanced kernel smoothing techniques to produce a highly adaptive, noise-resistant trend signal.
Unlike standard DMI that can be overly reactive or choppy in consolidation phases, K-DMI applies kernel-weighted filtering (Linear, Exponential, or Gaussian) to stabilize directional movement readings and extract a more reliable momentum signal.
✨ Key Features
🔹 Kernel Smoothing Engine
Smooths DMI using your choice of kernel (Linear, Exponential, Gaussian) for flexible noise reduction and clarity.
🔹 Dynamic Trend Signal
Generates real-time long/short trend bias based on signal crossing upper or lower thresholds (defaults: ±1).
🔹 Visual Encoding
Includes directional gradient fills, candle coloring, and momentum-based overlays for instant signal comprehension.
🔹 Multi-Mode Plotting
Optional moving average overlays visualize structure and compression/expansion within price action.
📐 How It Works
1️⃣ Directional Movement Index (DMI)
Calculates the traditional +DI and -DI differential to derive directional bias.
2️⃣ Kernel-Based Smoothing
Applies a custom-weighted average across historical DMI values using one of three smoothing methods:
• Linear → Simple tapering weights
• Exponential → Decay curve for recent emphasis
• Gaussian → Bell-shaped weight for centered precision
3️⃣ Signal Generation
• ✅ Long → Signal > Long Threshold (default: +1)
• ❌ Short → Signal < Short Threshold (default: -1)
Additional overlays signal potential compression zones or trend resumption using gradient and line fills.
⚙️ Custom Settings
• DMI Length: Default = 7
• Kernel Type: Options → Linear, Exponential, Gaussian (Def:Linear)
• Kernel Length: Default = 25
• Long Threshold: Default = 1
• Short Threshold: Default = -1
• Color Mode: Strategy, Solar, Warm, Cool, Classic, Magic
• Show Labels: Optional entry signal labels (Long/Short)
• Enable Extra Plots: Toggle MA overlays and dynamic bands
👥 Who Is It For?
✅ Trend Traders → Identify sustained directional bias with smoother signal lines
✅ Quant Analysts → Leverage advanced smoothing models to enhance data clarity
✅ Discretionary Swing Traders → Visualize clean breakouts or fades within choppy zones
✅ MA Compression Traders → Use overlay MAs to detect expansion opportunities
📌 Conclusion
Kernel Weighted DMI is the evolution of classic momentum tracking—merging traditional DMI logic with adaptable kernel filters. It provides a refined lens for trend detection, while optional visual overlays support price structure analysis.
🔹 Key Takeaways:
1️⃣ Smoothed and stabilized DMI for reliable trend signal generation
2️⃣ Optional Gaussian/exponential weighting for adaptive responsiveness
3️⃣ Custom gradient fills, dynamic MAs, and candle coloring to support visual clarity
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Normalized DEMA Oscillator SD| QuantEdgeB📊 Introducing Normalized DEMA Oscillator SD (NDOSD) by QuantEdgeB
🛠️ Overview
Normalized DEMA Oscillator SD (NDOSD) is a powerful trend and momentum indicator that blends DEMA-based smoothing with a standard deviation-based normalization engine. The result is an oscillator that adapts to volatility, filters noise, and highlights both trend continuations and reversal zones with exceptional clarity.
It normalizes price momentum within an adaptive SD envelope, allowing comparisons across assets and market conditions. Whether you're a trend trader or mean-reverter, NDOSD provides the insight needed for smarter decision-making.
✨ Key Features
🔹 DEMA-Powered Momentum Core
Utilizes a Double EMA (DEMA) for smoother trend detection with reduced lag.
🔹 Normalized SD Bands
Price momentum is standardized using a dynamic 2× standard deviation range—enabling consistent interpretation across assets and timeframes.
🔹 Overbought/Oversold Detection
Includes clear OB/OS zones with shaded thresholds to identify potential reversals or trend exhaustion areas.
🔹 Visual Trend Feedback
Color-coded oscillator zones, candle coloring, and optional signal labels help traders immediately see trend direction and strength.
📐 How It Works
1️⃣ DEMA Calculation
The core of NDOSD is a smoothed price line using a Double EMA, designed to reduce false signals in choppy markets.
2️⃣ Normalization with SD
The DEMA is normalized within a volatility range using a 2x SD calculation, producing a bounded oscillator from 0–100. This transforms the raw signal into a structured format, allowing for OB/OS detection and trend entry clarity.
3️⃣ Signal Generation
• ✅ Long Signal → Oscillator crosses above the long threshold (default: 55) and price holds above the lower SD boundary.
• ❌ Short Signal → Oscillator drops below short threshold (default: 45), often within upper SD boundary context.
4️⃣ OB/OS Thresholds
• Overbought Zone: Above 100 → Caution / Consider profit-taking.
• Oversold Zone: Below 0 → Watch for accumulation setups.
⚙️ Custom Settings
• Calculation Source: Default = close
• DEMA Period: Default = 30
• Base SMA Period: Default = 20
• Long Threshold: Default = 55
• Short Threshold: Default = 45
• Color Mode: Choose from Strategy, Solar, Warm, Cool, Classic, or Magic
• Signal Labels Toggle: Show/hide Long/Short markers on chart
👥 Ideal For
✅ Trend Followers – Identify breakout continuation zones using oscillator thrust and SD structure
✅ Swing Traders – Catch mid-trend entries or mean reversion setups at OB/OS extremes
✅ Quant/Systemic Traders – Normalize signals for algorithmic integration across assets
✅ Multi-Timeframe Analysts – Easily compare trend health using standardized oscillator ranges
📌 Conclusion
Normalized DEMA Oscillator SD is a sleek and adaptive momentum toolkit that helps traders distinguish true momentum from false noise. With its fusion of DEMA smoothing and SD normalization, it works equally well in trending and range-bound conditions.
🔹 Key Takeaways:
1️⃣ Smoother momentum tracking using DEMA
2️⃣ Cross-asset consistency via SD-based normalization
3️⃣ Versatile for both trend confirmation and reversal identification
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Let me know if you want a strategy script or publish-ready layout for TradingView next!
Z-Score Normalized VIX StrategyThis strategy leverages the concept of the Z-score applied to multiple VIX-based volatility indices, specifically designed to capture market reversals based on the normalization of volatility. The strategy takes advantage of VIX-related indicators to measure extreme levels of market fear or greed and adjusts its position accordingly.
1. Overview of the Z-Score Methodology
The Z-score is a statistical measure that describes the position of a value relative to the mean of a distribution in terms of standard deviations. In this strategy, the Z-score is calculated for various volatility indices to assess how far their values are from their historical averages, thus normalizing volatility levels. The Z-score is calculated as follows:
Z = \frac{X - \mu}{\sigma}
Where:
• X is the current value of the volatility index.
• \mu is the mean of the index over a specified period.
• \sigma is the standard deviation of the index over the same period.
This measure tells us how many standard deviations the current value of the index is away from its average, indicating whether the market is experiencing unusually high or low volatility (fear or calm).
2. VIX Indices Used in the Strategy
The strategy utilizes four commonly referenced volatility indices:
• VIX (CBOE Volatility Index): Measures the market’s expectations of 30-day volatility based on S&P 500 options.
• VIX3M (3-Month VIX): Reflects expectations of volatility over the next three months.
• VIX9D (9-Day VIX): Reflects shorter-term volatility expectations.
• VVIX (VIX of VIX): Measures the volatility of the VIX itself, indicating the level of uncertainty in the volatility index.
These indices provide a comprehensive view of the current volatility landscape across different time horizons.
3. Strategy Logic
The strategy follows a long entry condition and an exit condition based on the combined Z-score of the selected volatility indices:
• Long Entry Condition: The strategy enters a long position when the combined Z-score of the selected VIX indices falls below a user-defined threshold, indicating an abnormally low level of volatility (suggesting a potential market bottom and a bullish reversal). The threshold is set as a negative value (e.g., -1), where a more negative Z-score implies greater deviation below the mean.
• Exit Condition: The strategy exits the long position when the combined Z-score exceeds the threshold (i.e., when the market volatility increases above the threshold, indicating a shift in market sentiment and reduced likelihood of continued upward momentum).
4. User Inputs
• Z-Score Lookback Period: The user can adjust the lookback period for calculating the Z-score (e.g., 6 periods).
• Z-Score Threshold: A customizable threshold value to define when the market has reached an extreme volatility level, triggering entries and exits.
The strategy also allows users to select which VIX indices to use, with checkboxes to enable or disable each index in the calculation of the combined Z-score.
5. Trade Execution Parameters
• Initial Capital: The strategy assumes an initial capital of $20,000.
• Pyramiding: The strategy does not allow pyramiding (multiple positions in the same direction).
• Commission and Slippage: The commission is set at $0.05 per contract, and slippage is set at 1 tick.
6. Statistical Basis of the Z-Score Approach
The Z-score methodology is a standard technique in statistics and finance, commonly used in risk management and for identifying outliers or unusual events. According to Dumas, Fleming, and Whaley (1998), volatility indices like the VIX serve as a useful proxy for market sentiment, particularly during periods of high uncertainty. By calculating the Z-score, we normalize volatility and quantify the degree to which the current volatility deviates from historical norms, allowing for systematic entry and exit based on these deviations.
7. Implications of the Strategy
This strategy aims to exploit market conditions where volatility has deviated significantly from its historical mean. When the Z-score falls below the threshold, it suggests that the market has become excessively calm, potentially indicating an overreaction to past market events. Entering long positions under such conditions could capture market reversals as fear subsides and volatility normalizes. Conversely, when the Z-score rises above the threshold, it signals increased volatility, which could be indicative of a bearish shift in the market, prompting an exit from the position.
By applying this Z-score normalized approach, the strategy seeks to achieve more consistent entry and exit points by reducing reliance on subjective interpretation of market conditions.
8. Scientific Sources
• Dumas, B., Fleming, J., & Whaley, R. (1998). “Implied Volatility Functions: Empirical Tests”. The Journal of Finance, 53(6), 2059-2106. This paper discusses the use of volatility indices and their empirical behavior, providing context for volatility-based strategies.
• Black, F., & Scholes, M. (1973). “The Pricing of Options and Corporate Liabilities”. Journal of Political Economy, 81(3), 637-654. The original Black-Scholes model, which forms the basis for many volatility-related strategies.
