Médias Móveis
50 EMA Crossover With Monthly DCARecommended Chart Interval = 1W
Overview:
This strategy combines trend-following principles with dollar-cost averaging (DCA), aiming to efficiently deploy capital while minimizing market timing risk.
How It Works:
When the Long Condition is Not Met (i.e., Price < 50 EMA):
- If the price is below the 50 EMA, a fixed DCA amount is added to a cash reserve every month.
- This ensures that capital is consistently accumulated, even when the strategy isn't in a long position.
When the Long Condition is Met (i.e., Price > 50 EMA):
- A long position is opened when the price is above the 50 EMA.
- At this point, the entire capital, including the accumulated cash reserve, is deployed into the market.
- While the strategy is long, a DCA buy order is placed every month using the set DCA amount, continuously investing as the market conditions allow.
Exit Strategy:
If the price falls below the 50 EMA, the strategy closes all positions, and the cash reserve accumulation process begins again.
Key Benefits:
✔ Systematic Investing: Ensures consistent capital deployment while following trend signals.
✔ Cash Efficiency: Accumulates uninvested funds when conditions aren’t met and deploys them at optimal moments.
✔ Risk Management: Exits when the price trend weakens, protecting capital.
Conclusion:
This method allows for efficient capital growth by combining a trend-following approach with disciplined DCA, ensuring risk is managed while capital is deployed systematically at optimal points in the market. 🚀
Double SMA with VWMAUsing Long and short SMA with VWMA as filter, and MACD as second filter.
Using VWMA as trail profit taker.
Trailing Monster StrategyTrailing Monster Strategy
This is an experimental trend-following strategy that incorporates a custom adaptive moving average (PKAMA), RSI-based momentum filtering, and dynamic trailing stop-loss logic. It is designed for educational and research purposes only, and may require further optimization or risk management considerations prior to live deployment.
Strategy Logic
The strategy attempts to participate in sustained price trends by combining:
- A Power Kaufman Adaptive Moving Average (PKAMA) for dynamic trend detection,
- RSI and Simple Moving Average (SMA) filters for market condition confirmation,
- A delayed trailing stop-loss to manage exits once a trade is in profit.
Entry Conditions
Long Entry:
- RSI exceeds the overbought threshold (default: 70),
- Price is trading above the 200-period SMA,
- PKAMA slope is positive (indicating upward momentum),
- A minimum number of bars have passed since the last entry.
Short Entry:
- RSI falls below the oversold threshold (default: 30),
- Price is trading below the 200-period SMA,
- PKAMA slope is negative (indicating downward momentum),
-A minimum number of bars have passed since the last entry.
Exit Conditions
- A trailing stop-loss is applied once the position has been open for a user-defined number of bars.
- The trailing distance is calculated as a fixed percentage of the average entry price.
Technical Notes
This script implements a custom version of the Power Kaufman Adaptive Moving Average (PKAMA), conceptually inspired by alexgrover’s public implementation on TradingView .
Unlike traditional moving averages, PKAMA dynamically adjusts its responsiveness based on recent market volatility, allowing it to better capture trend changes in fast-moving assets like altcoins.
Disclaimer
This strategy is provided for educational purposes only.
It is not financial advice, and no guarantee of profitability is implied.
Always conduct thorough backtesting and forward testing before using any strategy in a live environment.
Adjust inputs based on your individual risk tolerance, asset class, and trading style.
Feedback is encouraged. You are welcome to fork and modify this script to suit your own preferences and market approach.
VICI Algo-VVici Trading Solutions is proud to present Algo-V. This represents the first significant innovation publicly released by Vici Trading Solutions, This Algorithm is widely utilized by by our internal trading team, trusted for its dependable Average True Range (ATR) support and resistance levels across multiple time frames.
Features of Algo-V:
Proprietary ATR:
- Unique ATR formula designed specifically by Vici Trading Solutions designed for consistency & accuracy.
- Reliably suggests support and resistance levels, providing significant confluence in market analysis.
- Unique calculations for analysis on any time frame.
Built-in Buy and Sell Signals:
- Includes clearly marked signals for both minor and major trading opportunities. (Strong signals recommended over minor signals to reduce frequency of signals to user.)
Customizable Moving Average Line:
- Offers extensive customization, featuring 13 different moving average calculations.
- Allows users to set moving averages independently from the chart's time frame (e.g., plotting a 1-hour moving average on a 10-minute chart).
Visual Candlestick Coloring:
- Candles are color-coded for quick market sentiment identification:
- Green: Price above cloud, indicating potential longs and an upward trend.
- Red: Price below cloud, indicating potential shorts and a downward trend.
- Purple: Price inside cloud, indicating indecision and sideways or neutral market action.
Important Notes:
- The signals, support, and resistance levels are intended as complementary tools, not standalone trading methods.
- Traders are encouraged to integrate this study into their existing strategies to enhance decision-making and improve trading precision.
Enhance your trading precision and strategy confidence with Algo-V and start conquering the markets today!
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.
EMA Crossover (Short Focus with Trailing Stop)This strategy utilizes a combination of Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to generate entry and exit signals for both long and short positions. The core of the strategy is based on the 13-period EMA (short EMA) crossing the 33-period EMA (long EMA) for entering long trades, while a 13-period EMA crossing the 25-period EMA (mid EMA) generates short trade signals. The 100-period SMA and 200-period SMA serve as additional trend indicators to provide context for the market conditions. The strategy aims to capitalize on trend reversals and momentum shifts in the market.
The strategy is designed to execute trades swiftly with an emphasis on entering positions when conditions align in real time. For long entries, the strategy initiates a buy when the 13 EMA is greater than the 33 EMA, indicating a bullish trend. For short entries, the 13 EMA crossing below the 33 EMA signals a bearish trend, prompting a short position. Importantly, the code includes built-in exit conditions for both long and short positions. Long positions are exited when the 13 EMA falls below the 33 EMA, while short positions are closed when the 13 EMA crosses above the 25 EMA.
A key feature of the strategy is the use of trailing stops for both long and short positions. This dynamic exit method adjusts the stop level as the market moves in favor of the trade, locking in profits while reducing the risk of losses. The trailing stop for long positions is based on the high price of the current bar, while the trailing stop for short positions is set using the low price, providing more flexibility in managing risk. This trailing stop mechanism helps to capture profits from favorable market moves while ensuring that positions are exited if the market moves against them.
This strategy works best on the 4H timeframe and is optimized for major cryptocurrency pairs. The daily chart allows for the EMAs to provide more reliable signals, as the strategy is designed to capture broader trends rather than short-term market fluctuations. Using it on major crypto pairs increases its effectiveness as these assets tend to have strong and sustained trends, providing better opportunities for the strategy to perform well.
AIWAY - CryptoPulse TPAIWAY - CryptoPulse TP
Overview
The "AIWAY - CryptoPulse TP" indicator is a powerful yet user-friendly tool tailored for cryptocurrency trading on TradingView. Built with Pine Script v5, this indicator combines Supertrend, moving averages, and advanced trend analysis to generate clear Buy and Sell signals. It goes further by providing precise Entry points, a Stop Loss, and three Take Profit (TP) levels based on customizable Risk-to-Reward (R:R) ratios. Whether you're a beginner or an experienced trader, this indicator simplifies decision-making while offering flexibility through adjustable settings.
Key Features
• Signal Types: Choose between "ALL SIGNALS" (based on Supertrend and SMA) or "SMART+ SIGNALS" (refined stochastic-RSI signals).
• Entry, Stop Loss, and Targets: Displays Entry, Stop Loss, and three Take Profit levels (TP1, TP2, TP3) with adjustable R:R ratios.
• Trend Visualization: Includes optional Trend Candles, Moving Averages, and a Multi-Timeframe (MTF) Trend Dashboard for broader market context.
• Customizable Sensitivity: Adjust the Supertrend sensitivity (0.5–12) to suit your trading style or market volatility.
• Cryptocurrency Focus: Optimized for crypto markets but adaptable to other assets.
How to Use
1. Add the Indicator: Load "AIWAY - CryptoPulse TP" onto your TradingView chart.
2. Select Signal Type:
o ALL SIGNALS: Triggers "BUY" when price crosses above Supertrend and is above the 9-period SMA; "SELL" when price crosses below Supertrend and is below the 9-period SMA. Labels appear on the chart.
o SMART+ SIGNALS: Triggers refined "Smart Buy+" (green) and "Smart Sell+" (red) signals based on a smoothed Stochastic-RSI crossover, ideal for filtering noise.
3. Interpret Entry and Targets:
o Entry: Marked with an orange dashed line and label (e.g., "Entry: 1234.5") at the closing price of the signal candle.
o Stop Loss: Shown as a red solid line and label (e.g., "Stop Loss: 1200"), calculated as a percentage below/above the entry (default: 2%).
o Take Profit Levels: Three green solid lines and labels (TP1, TP2, TP3) based on R:R ratios (default: 1:1, 1.5:1, 2:1). For example, if Entry is 1000 and Stop Loss is 980, TP1 = 1020, TP2 = 1030, TP3 = 1040.
4. Adjust Settings:
o Go to the indicator’s settings: tweak "Sensitivity" for Supertrend responsiveness, adjust "Stop Loss Distance" (%), and modify TP R:R ratios under "TAKE PROFIT / STOP LOSS".
o Enable optional features like "Moving Average" or "Trend Dashboard" for additional context.
5. Trade Execution:
o Buy: Enter a long position at the Entry price when a Buy signal appears. Set your stop loss and take profits as indicated.
o Sell: Enter a short position at the Entry price when a Sell signal appears, using the provided Stop Loss and TP levels.
o Monitor the chart for signal confirmation and adjust based on market conditions.
Settings Breakdown
• Signals: "ALL SIGNALS" (default) or "SMART+ SIGNALS".
• Sensitivity: Default 10; lower for tighter signals, higher for broader trends.
• Show TP/SL: Enable to display Entry, Stop Loss, and TP levels (default: true).
• Stop Loss Distance: Default 2% (adjustable).
• Take Profit R:R: TP1 = 1:1, TP2 = 1.5:1, TP3 = 2:1 (customizable).
• Trend Tools: Toggle Moving Average, Trend Cloud, or Dashboard as needed.
Example
• Buy Signal: Price crosses above Supertrend at 5000, SMA9 confirms. Entry = 5000, Stop Loss = 4900 (2% below), TP1 = 5100 (1:1), TP2 = 5150 (1.5:1), TP3 = 5200 (2:1).
• Sell Signal: Price crosses below Supertrend at 4800, SMA9 confirms. Entry = 4800, Stop Loss = 4896 (2% above), TP1 = 4704 (1:1), TP2 = 4656 (1.5:1), TP3 = 4608 (2:1).
Disclaimer
This indicator is provided for educational and informational purposes only and should not be considered financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and consult with a qualified financial advisor before making trading decisions. The creator of this indicator is not responsible for any losses incurred.
Notes
• Best used on cryptocurrency pairs but can be adapted to other markets.
• Optimized on 30m timeframe or lower
• Combine with other analysis tools for confirmation.
Enjoy trading with AIWAY - CryptoPulse TP! Let me know your feedback in the comments.
Scalping all timeframe EMA & RSIEMA 50 and EMA 100 combined with RSI 14
Should also be accompanied by the RSI 14 chart.
With the following conditions:
IF the EMAs are close but not crossing:
* Be prepared to take a Sell position if the first Bearish Candlestick crosses the lowest EMA, and the RSI value is equal to or below 40.
* Be prepared to take a Buy position if the first Bullish Candlestick crosses the highest EMA, and the RSI value is equal to or above 60.
IF the EMAs are overlapping and crossing:
* Be prepared to take a Sell position if the first Bearish Candlestick crosses both EMAs, and the RSI value crosses below 50.
*Be prepared to take a Buy position if the first Bullish Candlestick crosses both EMAs, and the RSI value crosses above 50.
EMAsRaccoon Emas + ribbon
12 - 21 emas with ribbon for low timeframe
50,100, 200, 300 emas for key levels
siaThis script is a combination of several TradingView Pine Script indicators, each designed to provide different types of analysis and visualization for trading strategies. Here's a breakdown of each part:
1. Trendlines with Breaks
Purpose: Identifies trendlines and their breaks.
Key Features:
Detects swing highs and lows.
Calculates trendlines based on ATR, Stdev, or Linreg.
Plots upper and lower trendlines.
Highlights breakouts with shapes and alerts.
2. CM_Ultimate_MA_MTF_V2
Purpose: Plots a multi-timeframe moving average with optional second moving average.
Key Features:
Supports various moving average types (SMA, EMA, WMA, etc.).
Highlights price crossings with the moving averages.
Allows color changes based on direction.
Optional second moving average for additional analysis.
3. HalfTrend
Purpose: Identifies trends and plots trend channels.
Key Features:
Uses ATR for channel deviation.
Plots trend lines and channels.
Highlights trend changes with arrows.
Provides alerts for buy and sell signals.
4. Ichimoku
Purpose: Plots Ichimoku Cloud components and additional lines.
Key Features:
Plots Tenkan-Sen, Kijun-Sen, Chikou Span, and Ichimoku Cloud.
Highlights crosses between Tenkan-Sen and Kijun-Sen.
Includes additional lines like Quality Line and Direction Line.
Provides alerts for cross signals.
How to Use
Trendlines with Breaks: Useful for identifying potential breakout points in the market.
CM_Ultimate_MA_MTF_V2: Helps in understanding the trend across different timeframes.
HalfTrend: Provides a clear visualization of trend channels and potential reversal points.
Ichimoku: Offers a comprehensive view of market trends and potential support/resistance levels.
Integration
These indicators can be used together to create a robust trading strategy. For example, you can use the trendlines to identify breakouts, confirm the trend with the multi-timeframe moving average, and use Ichimoku for additional confirmation.
Customization
Each indicator has several input parameters that can be customized to fit your trading style and preferences.
Jeanius Productions - XXX V16(Launch Edition))Jeanius Productions - XXX V16 (Launch Edition)
Overview
XXX V16 is a high-performance scalping strategy designed to maximize precision and efficiency. It utilizes EMA crossovers, trend validation, and adaptive risk management to capitalize on momentum.
Key Features
🔥 Smart Entry System – EMA crossovers confirm directional shifts.
🚀 Optimized Take Profit – TP1 (30 pips) and TP2 (60 pips), with time-based filtering.
✔ Automatic Trade Reversals – Opposite trades close before new positions open.
📈 Multi-Timeframe Validation – Trades only when aligned with market trends.
Why Use XXX V16?
✔ Refined for Scalping & Short-Term Trading
✔ Integrated MT5 Signal Execution
✔ Risk-Controlled, Time-Based Optimization
Trade with confidence. Turn momentum into profits. 🚀🔥
Let me know if you’d like any final tweaks
Combined Trading IndicaterThis is 3 Hull moving average with 3 SMA . this also have feature of CPR and camarilla pivot and RSI , stochrsi based Book profit feature as over bought and over sold . ATR based trend line helps traders to find correct entry for trades when trendlines break and CPR and camarilla pivot boost traders confidence to take decision as when price crosses above Camarilla R3 and CPR take long position and when price crosses below Camarilla S3 and CPR take short position .
Parabolic SAR gives traders trend reversal indication . it should be confirmed with CPR and Ichimoku conversion .
Ichimoku conversion crosses above base line then bullish and when Ichimoku conversion crosses below base line then bearish condition.
This is very Powerful indicator if used with Demand/ supply Zones .
Bollinger Band feature gives indication when price action start after band contraction .
Trading and investment always associated with Risk and indicators are always in lagging nature as these depends on price , So Don't rely 100% , use strict stoploss . Best of luck.
Thanks pine community and pine library to inspire me to discover such pine code
TOMOs SPX Consolidation Detector with Cooldown.Consolidation indicator. Pick the tolerance range for consolidation. Triggers an alert at the end of the "min consolidation" bar. Blue is the bar after showing consolidation right before it.
Moving Average Convergence Divergence + 2 SMAsThis TradingView Pine Script by STRADUK , is a **custom MACD indicator with two additional Simple Moving Averages (SMAs)** to enhance trend analysis and momentum insights. It includes:
- **MACD Components:**
- Configurable **Fast** and **Slow** MAs (SMA or EMA)
- Signal line (SMA or EMA)
- Histogram showing the difference between MACD and Signal
- Color-coded histogram for visual momentum changes
- Alerts for when the histogram switches from rising to falling and vice versa
- **Additional Features:**
- Two customizable **SMA lines** (e.g., 50 and 200) plotted directly on the price chart
- Helps identify broader market trends and potential support/resistance levels
This combined setup helps traders spot **momentum shifts** (via MACD) while also keeping an eye on the **overall market trend** (via SMAs).
Invite Only 2 MA Color Dir Detection This script has default value of 10 and 20 EMA and if you check the 'Filling' box on settings then you will get the color coding, which is easy to comprehend. Long trade as soon as the stream turns green, No Trade in Purple zone and Short in Red zone. Best is to take enter as soon as color changes or when price comes closer to the stream of colors.
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.
Z SMMA | QuantEdgeB📈 Introducing Z-Score SMMA (Z SMMA) by QuantEdgeB
🛠️ Overview
Z SMMA is a momentum-driven oscillator designed to track the standardized deviation of a Smoothed Moving Average (SMMA). By applying Z-score normalization, this tool dynamically adapts to price volatility, enabling traders to detect meaningful directional shifts and trend changes with enhanced clarity.
It serves both as a trend-following and mean-reversion system, identifying opportunities through standardized thresholds while remaining robust across volatile and calm market conditions.
✨ Key Features
🔹 Z-Score Normalization Engine
Applies Z-score to a custom SMMA baseline, allowing traders to compare price action relative to its recent volatility-adjusted mean.
🔹 Dynamic Trend Detection
Generates actionable long/short signals based on customizable Z-thresholds, making it adaptable across different asset classes and timeframes.
🔹 Overbought/Oversold Zones
Highlight reversion and profit-taking zones (default OB: +2 to +4, OS: -2 to -4), great for counter-trend or mean-reversion strategies.
🔹 Visual Reinforcement Tools
Includes candle coloring, gradient fills, and optional ALMA/EMA band overlays to visualize trend regime transitions.
🔍 How It Works
1️⃣ Z-Score SMMA Calculation
The core is a custom Smoothed Moving Average (SMMA) that is normalized by its standard deviation over a lookback period.
Final Formula:
Z = (SMMA - Mean) / StdDev
2️⃣ Signal Generation
• ✅ Long Bias: Z-Score > Long Threshold (default: 0)
• ❌ Short Bias: Z-Score < Short Threshold (default: 0)
3️⃣ Visual Aids
• Candle Color → Shows trend bias
• Band Fills → Highlight trend strength
• Overlays → Optional ALMA/EMA bands for structure analysis
⚙️ Custom Settings
• SMMA Length → Default: 12
• Z-Score Lookback → Default: 30
• Long Threshold → Default: 0
• Short Threshold → Default: 0
• Color Themes → Choose from 6 visual modes
• Extra Plots → Toggle advanced overlays (ALMA, EMA, bands)
• Label Display → Show/hide “𝓛𝓸𝓷𝓰” & “𝓢𝓱𝓸𝓻𝓽” markers
👥 Who Should Use It?
✅ Trend Traders → For early entries with confirmation from Z-score expansion
✅ Quantitative Analysts → Standardized deviation enables comparison across assets
✅ Mean-Reversion Traders → Use OB/OS zones to fade parabolic spikes
✅ Swing & Systematic Traders → Identify momentum shifts with optional ALMA/EMA overlays
📌 Conclusion
Z SMMA offers a smart, adaptive framework for tracking deviation from equilibrium in a quant-friendly format. Whether you're looking to follow trends or catch exhaustion points, Z SMMA provides a clear, standardized view of momentum and price extremes.
🔹 Key Takeaways:
1️⃣ Z-Score standardization ensures dynamic range awareness
2️⃣ SMMA base filters out noise, offering smoother signals
3️⃣ Color-coded visuals support faster reaction and cleaner charts
📌 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
Quantile DEMA Trend | QuantEdgeB🚀 Introducing Quantile DEMA Trend (QDT) by QuantEdgeB
🛠️ Overview
Quantile DEMA Trend (QDT) is an advanced trend-following and momentum detection indicator designed to capture price trends with superior accuracy. Combining DEMA (Double Exponential Moving Average) with SuperTrend and Quantile Filtering, QDT identifies strong trends while maintaining the ability to adapt to various market conditions.
Unlike traditional trend indicators, QDT uses percentile filtering to adjust for volatility and provides dynamic thresholds, ensuring consistent signal performance across different assets and timeframes.
✨ Key Features
🔹 Trend Following with Adaptive Sensitivity
The DEMA component ensures quicker responses to price changes while reducing lag, offering a real-time reflection of market momentum.
🔹 Volatility-Adjusted Filtering
The SuperTrend logic incorporates quantile percentile filters and ATR (Average True Range) multipliers, allowing QDT to adapt to fluctuating market volatility.
🔹 Clear Signal Generation
QDT generates clear Long and Short signals using percentile thresholds, effectively identifying trend changes and market reversals.
🔹 Customizable Visual & Signal Settings
With multiple color modes and customizable settings, you can easily align the QDT indicator with your trading strategy, whether you're focused on trend-following or volatility adjustments.
📊 How It Works
1️⃣ DEMA Calculation
DEMA is used to reduce lag compared to traditional moving averages. It is calculated by applying a Double Exponential Moving Average to price data. This smoother trend-following mechanism ensures responsiveness to market movements without introducing excessive noise.
2️⃣ SuperTrend with Percentile Filtering
The SuperTrend component adapts the trend-following signal by incorporating quantile percentile filters. It identifies dynamic support and resistance levels based on historical price data:
• Upper Band: Calculated using the 75th percentile + ATR (adjusted with multiplier)
• Lower Band: Calculated using the 25th percentile - ATR (adjusted with multiplier)
These dynamic bands adjust to market conditions, filtering out noise while identifying the true direction.
3️⃣ Signal Generation
• Long Signal: Triggered when price crosses below the SuperTrend Lower Band
• Short Signal: Triggered when price crosses above the SuperTrend Upper Band
The indicator provides signals with corresponding trend direction based on these crossovers.
👁 Visual & Custom Features
• 🎨 Multiple Color Modes: Choose from "Strategy", "Solar", "Warm", "Cool", "Classic", and "Magic" color palettes to match your charting style.
• 🏷️ Long/Short Signal Labels: Optional labels for visual cueing when a long or short trend is triggered.
• 📉 Bar Color Customization: Bar colors dynamically adjust based on trend direction to visually distinguish the market bias.
👥 Who Should Use QDT?
✅ Trend Followers: Use QDT as a dynamic tool to confirm trends and capture profits in trending markets.
✅ Swing Traders: Use QDT to time entries based on confirmed breakouts or breakdowns.
✅ Volatility Traders: Identify market exhaustion or expansion points, especially during volatile periods.
✅ Systematic & Quant Traders: Integrate QDT into algorithmic strategies to enhance market detection with adaptive filtering.
⚙️ Customization & Default Settings
- DEMA Length(30): Controls the lookback period for DEMA calculation
- Percentile Length(10): Sets the lookback period for percentile filtering
- ATR Length(14): Defines the length for calculating ATR (used in SuperTrend)
- ATR Multiplier(1.2 ): Multiplier for ATR in SuperTrend calculation
- SuperTrend Length(30):Defines the length for SuperTrend calculations
📌 How to Use QDT in Trading
1️⃣ Trend-Following Strategy
✔ Enter Long positions when QDT signals a bullish breakout (price crosses below the SuperTrend lower band).
✔ Enter Short positions when QDT signals a bearish breakdown (price crosses above the SuperTrend upper band).
✔ Hold positions as long as QDT continues to provide the same direction.
2️⃣ Reversal Strategy
✔ Take profits when price reaches extreme levels (upper or lower percentile zones) that may indicate trend exhaustion or reversion.
3️⃣ Volatility-Driven Entries
✔ Use the percentile filtering to enter positions based on mean-reversion logic or breakout setups in volatile markets.
🧠 Why It Works
QDT combines the DEMA’s quick response to price changes with SuperTrend's volatility-adjusted thresholds, ensuring a responsive and adaptive indicator. The use of percentile filters and ATR multipliers helps adjust to varying market conditions, making QDT suitable for both trending and range-bound environments.
🔹 Conclusion
The Quantile DEMA Trend (QDT) by QuantEdgeB is a powerful, adaptive trend-following and momentum detection system. By integrating DEMA, SuperTrend, and quantile percentile filtering, it provides accurate and timely signals while adjusting to market volatility. Whether you are a trend follower or volatility trader, QDT offers a robust solution to identify high-probability entry and exit points.
🔹 Key Takeaways:
1️⃣ Trend Confirmation – Uses DEMA and SuperTrend for dynamic trend detection
2️⃣ Volatility Filtering – Adjusts to varying market conditions using percentile logic
3️⃣ Clear Signal Generation – Easy-to-read signals and visual cues for strategy implementation
📌 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.
