Simple VIDYA Smooth | QuantEdgeBSimple VIDYA Smooth (SVS) | QuantEdgeB
🔍 What Is Simple VIDYA Smooth?
SVS is a smoothed, volatility-adaptive trend filter that blends a Gaussian-pre-filtered, low-lag moving average with dynamic standard-deviation bands. It identifies trends by measuring when price moves decisively above or below a normalized VIDYA (Variable Index Dynamic Average) baseline—filtering out noise and adapting to changing market turbulence.
⚙️ Core Components
1. DEMA Pre-Filter
o A double-EMA smoothing to reduce initial noise before further processing.
2. Gaussian Smoothing
o Applies a small-kernel Gaussian filter to produce a cleaner input series that suppresses rapid spikes.
3. VIDYA Adaptive Average
o Computes a dynamic EMA whose smoothing constant adjusts according to the ratio of short- and long-term standard deviations—making it inherently responsive in volatile times and smooth in calmer periods.
4. Volatility Bands
o Surrounds the VIDYA line with ±N×SD bands (separate multipliers for upper and lower) to capture current market volatility, yielding dynamic thresholds for trend detection.
5. Trend Signal
o Generates a “long” when price closes above the upper band, a “short” when it closes below the lower band, otherwise stays neutral.
💡 Why It’s Special
• Adaptive Responsiveness: VIDYA’s volatility-weighted smoothing constant speeds up trend recognition in choppy markets and slows in quiet ones, avoiding whipsaws.
• Multi-Stage Filtering: The DEMA→Gaussian→VIDYA sequence ensures both rapid noise suppression and flexible trend adaptation.
• Asymmetric Bands: Separate multipliers for the upper and lower volatility bands let you fine-tune sensitivity to bullish versus bearish impulses.
• Visual Clarity: Color-coded candles and filled bands highlight trending phases at a glance, while backtest tables quantify performance.
📊 Backtest Mode
AVBO 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.
BTC
ETH
📌 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.
💼 Ideal Use Cases
• Trend Identification: Pinpoint reliable trend starts and exits in stocks, FX, or crypto—minimizing lag and false breakouts.
• Volatility Regimes: Automatically adjust to quiet vs. explosive markets—no manual parameter tweaks needed.
• Multitimeframe Alignment: Use SVS on multiple timeframes to confirm trend direction before entering positions.
• System Building Block: Embed SVS as a robust, adaptive filter within larger strategies (e.g., to trigger entries or to validate signals from other indicators).
🎨 Default Configuration
• DEMA Length: 7
• Gaussian Kernel: length = 4, sigma = 2.0
• VIDYA Lengths: fast = 9, slow = 24 (or use presets Set1–Set4)
• Volatility Bands: SD length = 40
📌 In Summary
Simple VIDYA Smooth | QuantEdgeB is an adaptive trend-filtering indicator that layers multiple noise-suppressing and volatility-adjusting techniques to deliver clear, reliable trend signals. By marrying DEMA, Gaussian filtering, VIDYA’s volatility-driven smoothing, and dynamic SD bands, SVS excels at separating genuine directional moves from market noise—across any asset or timeframe.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align AVBO’s settings with your risk tolerance and market objectives before live trading.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
المتوسطات المتحركة
Green Arrow Signal: Close > EMA9 and EMA9 of RSI123 > 100Plot a green arrow below the bar when:
Close price > EMA9
EMA9 of RSI(123) > 100
UniStratV2 | QuantEdgeBUniversal Strategy V2 | QuantEdgeB
🔍 What is the Universal Strategy?
A dynamic, multi-engine trading framework engineered to adapt across asset classes, timeframes, and market conditions. It fuses multiple complementary signal engines into a single, unified decision model—automatically balancing speed, smoothness, momentum scoring, and breakout precision.
⚙️ Core Characteristics
• Multi-Engine Logic: Combines fast-reacting trend detection, adaptive smoothing, statistical momentum scoring, and volatility-normalized breakout confirmation.
• Modular Architecture: Each engine operates independently yet contributes to a unified signal index—allowing plug-and-play customization or replacement of individual components.
• Adaptive Thresholds: Dynamically adjusts trigger levels based on market volatility, percentile bands, or standard-deviation filters, ensuring robust performance in both quiet and turbulent conditions.
• Unified Signal Aggregation: Individual engine outputs (bullish/bearish) are averaged into a single trend, minimizing noise and reinforcing conviction.
💡 Key Benefits
• Balance of Reactivity & Reliability: Fast-acting modules catch early trend shifts, while smoother, statistical layers confirm and filter false moves.
• Versatility Across Markets: Designed to work equally well in trending, range-bound, or high-volatility environments, and across equities, FX, commodities, and crypto.
• Customizable & Extensible: Users can tailor the number and type of engines, threshold methodologies, and signal-aggregation rules to match their style and risk tolerance.
• Transparency & Confidence: A real-time signal dashboard shows each engine’s contribution and the overall strategy, offering clear insight into what drives the strategy’s decisions.
📊 Generic Use Cases
1. Trend Capture
Identify and ride sustained directional moves with early-warning and confirmation engines.
2. Breakout Trading
Detect and validate volatility expansions while filtering out whipsaws.
3. Momentum Assessment
Quantify the strength behind price moves to distinguish fleeting spikes from genuine trends.
4. Cross-Asset Rotation
Apply the same framework to multiple symbols—allocating capital to the strongest opportunities.
📌 In Summary
The Universal Strategy V2 | QuantEdgeB is a framework, not a single indicator. By orchestrating diverse, forward-tested methodologies into one cohesive engine, it delivers adaptive precision, signal clarity, and robust performance—empowering traders to navigate any market environment with data-driven confidence.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align any strategy with your objectives and risk tolerance before live trading.
SMA 12 / 25 with Arrows & Dynamic ColorsSMA 12 / 25 with Arrows & Dynamic Colors
Colors are the same after crosses
Up down arrows at crosses
IB with Range PercentageThis Pine Script indicator for TradingView combines several powerful technical analysis tools to give traders a comprehensive view of market action:
Inside Bar Detection: Identifies the classic inside bar candlestick pattern.
Moving Averages: Provides multiple moving averages to help determine trend and potential support/resistance levels.
Information Table: Displays key market data in a concise table format.
1. Inside Bar Detection and Range
The indicator marks inside bars on the chart. An inside bar is a candlestick where its entire range (high and low) falls within the range of the preceding candlestick (often called the "mother bar"). This pattern often signifies market consolidation or indecision.
Customizable Marking: Users can choose the shape and color used to mark the inside bars, such as triangles, squares, or circles.
Range Percentage: A label shows the range of the inside bar as a percentage of the previous bar's low, providing a quantitative measure of its size.
Time Restriction: A setting allows displaying inside bars only for a specified number of past days, focusing analysis on recent price action.
Customizable Label Size: Users can choose the size of the range percentage label for optimal visibility.
2. Moving Averages for Trend Analysis
The indicator can plot up to four moving averages (MAs) on the chart. Moving averages smooth out price data to help identify trends and potential support and resistance levels.
User-Selectable MA Type: For each MA, traders can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA).
Customizable Length: Users can specify the length (number of periods) for each MA, such as 20, 50, 100, or 200.
Customizable Color: Each MA's line color can be chosen to suit personal preferences.
Trend Identification: When the price is above an MA, it suggests an uptrend, while prices below suggest a downtrend. The slope of the MA also indicates trend momentum.
3. Information Table for Key Data
A customizable information table is displayed on the chart, providing a quick overview of important market data.
Average Daily Range (ADR) Percentage: Shows the average daily range of the asset as a percentage, reflecting its historical volatility.
Distance from EMAs: Displays how far the current price is from the 10, 20, and 50 period Exponential Moving Averages. A positive percentage indicates the price is above the MA, while a negative percentage means it's below.
Customizable Table Elements: Users can choose the table's background color, text color, and text size for optimal readability.
How to Use This Indicator:
This indicator can be a valuable tool for traders using technical analysis:
Inside Bar Breakouts: Inside bars often precede breakouts. Traders can use the inside bar markings and range percentage to identify potential breakout opportunities.
Confirmation of Trends: Moving averages help confirm the direction of the trend, enabling traders to align their inside bar strategies with the prevailing market direction.
Support and Resistance: Moving averages can act as dynamic support and resistance levels. Traders can look for inside bars forming near these levels as potential entry or exit points.
Volatility and Range Analysis: The ADR percentage helps assess the normal daily range of an asset, which can be useful for setting realistic price targets and managing risk.
Risk Management: The distance from EMAs can alert traders to potential overextended moves, providing information for setting stop-loss or take-profit levels.
By combining these elements, this indicator provides a layered approach to market analysis, allowing traders to identify potential trading opportunities and manage risk effectively based on both candlestick patterns and trend-following indicators. Remember that no indicator guarantees success, and it's essential to use this tool in conjunction with other analysis techniques and proper risk management practices.
EMA 9/21 Crossover Alert (BerryRight)This indicator gives entry signals through EMA crossover and the gives the opportunity to set up alerts. I will update this indicator with exits in the future. it's written in Pinesctipt v5
RS Ratio vs Benchmark (Colored)📈 RS Ratio vs Benchmark (with Color Change)
A simple but powerful tool to track relative strength against a benchmark like QQQ, SPY, or any other ETF.
🔍 What it Shows
RS Ratio (orange line): Measures how strong a stock is relative to a benchmark.
Moving Average (teal line): Smooths out RS to show trend direction.
Color-coded RS Line:
🟢 Green = RS is above its moving average → strength is increasing.
🔴 Red = RS is below its moving average → strength is fading.
📊 How to Read It
Above 100 = Stock is outperforming the benchmark.
Below 100 = Underperforming.
Rising & Green = Strongest signal — accelerating outperformance.
Above 100 but Red = Consolidating or losing momentum — potential rest period.
Crosses below 100 = Warning sign — underperformance.
✅ Best Uses
Spot leading stocks with strong momentum vs QQQ/SPY.
Identify rotation — when strength shifts between sectors.
Time entries and exits based on RS trends and crossovers.
EZSignals SuperTrend EMAA technical indicator, even with high accuracy, must be rigorously backtested to assess its stability across various market conditions. Its effectiveness depends not only on the algorithm itself but also on how it is integrated into the overall trading system. Proper usage, combined with risk management and a solid understanding of market context, is essential to convert theoretical accuracy into practical trading advantage.
M.Ataoglu_Super_Ortalamalar | M.Ataoglu_Super_Averages📊 M.Ataoglu Super Averages - Multi-Moving Average Analysis System
English Description:
M.Ataoglu Super Averages is a comprehensive multi-moving average analysis system that provides advanced technical analysis using 40 different moving average periods ranging from 25 to 1000 periods. This indicator combines multiple technical analysis concepts to deliver powerful trading signals and market insights.
🔧 How It Works:
The system calculates 40 different moving averages using 8 different MA types (EMA, SMA, VWMA, WMA, HMA, DEMA, TEMA, KAMA) across four time horizons:
Short-term (25-125 periods): 5 EMAs for immediate market direction
Medium-term (150-375 periods): 11 EMAs for intermediate trend analysis
Long-term (400-600 periods): 9 EMAs for major trend identification
Super long-term (625-1000 periods): 15 EMAs for structural market analysis
📈 Core Analysis Methods:
EMA Hierarchy Analysis: Evaluates the alignment of key EMAs (25, 50, 200, 500, 1000) to determine overall market structure
Volume Analysis: Compares current volume to 20-period average to identify volume breakouts and confirm signals
Momentum Tracking: Calculates momentum for price and key EMAs to detect acceleration/deceleration
Cross Signal Generation: Monitors golden/death crosses at multiple timeframes for entry/exit signals
Risk Assessment: Provides risk levels based on EMA alignment and market conditions
🎯 Signal Generation Logic:
Strong Buy: 8+ bullish EMAs + EMA hierarchy + high volume
Buy: 6+ bullish EMAs + EMA 25 > EMA 50
Sell: 4 or fewer bullish EMAs + bearish hierarchy
Strong Sell: 2 or fewer bullish EMAs + bearish hierarchy + high volume
⚙️ Key Features:
8 different moving average types for flexibility
Comprehensive volume analysis with ratio calculations
Advanced momentum tracking system
Multiple alert conditions for different market scenarios
Visual table display with real-time market status
Risk level assessment based on EMA alignment
Support for multiple timeframes and instruments
📊 Usage Guidelines:
Use for trend identification across multiple timeframes
Combine with volume analysis for signal confirmation
Monitor EMA hierarchy for overall market structure
Use momentum indicators for entry/exit timing
Apply risk management based on provided risk levels
⚠️ Risk Disclaimer:
This indicator is for educational and analysis purposes only. Past performance does not guarantee future results. Always use proper risk management and consider multiple factors before making trading decisions.
ai quant oculusAI QUANT OCULUS
Version 1.0 | Pine Script v6
Purpose & Innovation
AI QUANT OCULUS integrates four distinct technical concepts—exponential trend filtering, adaptive smoothing, momentum oscillation, and Gaussian smoothing—into a single, cohesive system that delivers clear, objective buy and sell signals along with automatically plotted stop-loss and three profit-target levels. This mash-up goes beyond a simple EMA crossover or standalone TRIX oscillator by requiring confluence across trend, adaptive moving averages, momentum direction, and smoothed price action, reducing false triggers and focusing on high‐probability turning points.
How It Works & Why Its Components Matter
Trend Filter: EMA vs. Adaptive MA
EMA (20) measures the prevailing trend with fixed sensitivity.
Adaptive MA (also EMA-based, length 10) approximates a faster-responding moving average, standing in for a KAMA-style filter.
Bullish bias requires AMA > EMA; bearish bias requires AMA < EMA. This ensures signals align with both the underlying trend and a more nimble view of recent price action.
Momentum Confirmation: TRIX
Calculates a triple-smoothed EMA of price over TRIX Length (15), then converts it to a percentage rate-of-change oscillator.
Positive TRIX reinforces bullish entries; negative TRIX reinforces bearish entries. Using TRIX helps filter whipsaws by focusing on sustained momentum shifts.
Gaussian Price Smoother
Applies two back-to-back 5-period EMAs to the price (“gaussian” smoothing) to remove short-term noise.
Price above the smoothed line confirms strength for longs; below confirms weakness for shorts. This layer avoids entries on erratic spikes.
Confluence Signals
Buy Signal (isBull) fires only when:
AMA > EMA (trend alignment)
TRIX > 0 (momentum support)
Close > Gaussian (price strength)
Sell Signal (isBear) fires under the inverse conditions.
Requiring all three conditions simultaneously sharply reduces false triggers common to single-indicator systems.
Automatic Risk & Reward Plotting
On each new buy or sell signal (edge detection via not isBull or not isBear ), the script:
Stores entryPrice at the signal bar’s close.
Draws a stop-loss line at entry minus ATR(14) × Stop Multiplier (1.5) by default.
Plots three profit-target lines at entry plus ATR × Target Multiplier (1×, 1.5×, and 2×).
All previous labels and lines are deleted on each new signal, keeping the chart uncluttered and focusing only on the current trade.
Inputs & Customization
Input Description Default
EMA Length Period for the main trend EMA 20
Adaptive MA Length Period for the faster adaptive EM A substitute 10
TRIX Length Period for the triple-smoothed momentum oscillator 15
Dominant Cycle Length (Reserved) 40
Stop Multiplier ATR multiple for stop-loss distance 1.5
Target Multiplier ATR multiple for first profit target 1.5
Show Buy/Sell Signals Toggle on-chart labels for entry signals On
How to Use
Apply to Chart: Best on 15 m–1 h timeframes for swing entries or 5 m for agile scalps.
Wait for Full Confluence:
Look for the AMA to cross above/below the EMA and verify TRIX and Gaussian conditions on the same bar.
A bright “LONG” or “SHORT” label marks your entry.
Manage the Trade:
Place your stop where the red or green SL line appears.
Scale or exit at the three yellow TP1/TP2/TP3 lines, automatically drawn by volatility.
Repeat Cleanly: Each new signal clears prior annotations, ensuring you only track the active setup.
Why This Script Stands Out
Multi-Layer Confluence: Trend, momentum, and noise-reduction must all align, addressing the weaknesses of single-indicator strategies.
Automated Trade Management: No manual plotting—stop and target lines appear seamlessly with each signal.
Transparent & Customizable: All logic is open, adjustable, and clearly documented, allowing traders to tweak lengths and multipliers to suit different instruments.
Disclaimer
No indicator guarantees profit. Always backtest AI QUANT OCULUS extensively, combine its signals with your own analysis and risk controls, and practice sound money management before trading live.
free haji_gold indicator The free Haji Gold indicator, which was updated after a long time, has a scalping strategy and a trend strategy along with specifying stops and TPs and another tool called range filter.
Recommend this indicator to your friends
AI QUANT OCULUSAI QUANT OCULUS
Version 1.0 | Pine Script v6
Purpose & Innovation
AI QUANT OCULUS integrates four distinct technical concepts—exponential trend filtering, adaptive smoothing, momentum oscillation, and Gaussian smoothing—into a single, cohesive system that delivers clear, objective buy and sell signals along with automatically plotted stop-loss and three profit-target levels. This mash-up goes beyond a simple EMA crossover or standalone TRIX oscillator by requiring confluence across trend, adaptive moving averages, momentum direction, and smoothed price action, reducing false triggers and focusing on high‐probability turning points.
How It Works & Why Its Components Matter
Trend Filter: EMA vs. Adaptive MA
EMA (20) measures the prevailing trend with fixed sensitivity.
Adaptive MA (also EMA-based, length 10) approximates a faster-responding moving average, standing in for a KAMA-style filter.
Bullish bias requires AMA > EMA; bearish bias requires AMA < EMA. This ensures signals align with both the underlying trend and a more nimble view of recent price action.
Momentum Confirmation: TRIX
Calculates a triple-smoothed EMA of price over TRIX Length (15), then converts it to a percentage rate-of-change oscillator.
Positive TRIX reinforces bullish entries; negative TRIX reinforces bearish entries. Using TRIX helps filter whipsaws by focusing on sustained momentum shifts.
Gaussian Price Smoother
Applies two back-to-back 5-period EMAs to the price (“gaussian” smoothing) to remove short-term noise.
Price above the smoothed line confirms strength for longs; below confirms weakness for shorts. This layer avoids entries on erratic spikes.
Confluence Signals
Buy Signal (isBull) fires only when:
AMA > EMA (trend alignment)
TRIX > 0 (momentum support)
Close > Gaussian (price strength)
Sell Signal (isBear) fires under the inverse conditions.
Requiring all three conditions simultaneously sharply reduces false triggers common to single-indicator systems.
Automatic Risk & Reward Plotting
On each new buy or sell signal (edge detection via not isBull or not isBear ), the script:
Stores entryPrice at the signal bar’s close.
Draws a stop-loss line at entry minus ATR(14) × Stop Multiplier (1.5) by default.
Plots three profit-target lines at entry plus ATR × Target Multiplier (1×, 1.5×, and 2×).
All previous labels and lines are deleted on each new signal, keeping the chart uncluttered and focusing only on the current trade.
Inputs & Customization
Input Description Default
EMA Length Period for the main trend EMA 20
Adaptive MA Length Period for the faster adaptive EM A substitute 10
TRIX Length Period for the triple-smoothed momentum oscillator 15
Dominant Cycle Length (Reserved) 40
Stop Multiplier ATR multiple for stop-loss distance 1.5
Target Multiplier ATR multiple for first profit target 1.5
Show Buy/Sell Signals Toggle on-chart labels for entry signals On
How to Use
Apply to Chart: Best on 15 m–1 h timeframes for swing entries or 5 m for agile scalps.
Wait for Full Confluence:
Look for the AMA to cross above/below the EMA and verify TRIX and Gaussian conditions on the same bar.
A bright “LONG” or “SHORT” label marks your entry.
Manage the Trade:
Place your stop where the red or green SL line appears.
Scale or exit at the three yellow TP1/TP2/TP3 lines, automatically drawn by volatility.
Repeat Cleanly: Each new signal clears prior annotations, ensuring you only track the active setup.
Why This Script Stands Out
Multi-Layer Confluence: Trend, momentum, and noise-reduction must all align, addressing the weaknesses of single-indicator strategies.
Automated Trade Management: No manual plotting—stop and target lines appear seamlessly with each signal.
Transparent & Customizable: All logic is open, adjustable, and clearly documented, allowing traders to tweak lengths and multipliers to suit different instruments.
Disclaimer
No indicator guarantees profit. Always backtest AI QUANT OCULUS extensively, combine its signals with your own analysis and risk controls, and practice sound money management before trading live.
HHT Signal Analyzer (Refined)HHT Signal Analyzer
The HHT Signal Analyzer provides a real-time, smoothed approximation of the Hilbert-Huang Transform (HHT), designed to reveal adaptive cycles and phase changes in price action. It emulates Intrinsic Mode Functions (IMFs) using a double exponential moving average (EMA) filter to extract short-term oscillatory signals from price.
This indicator is helpful for identifying subtle shifts in market behavior, such as when a trend is transitioning or weakening, and is especially effective when paired with trend-based tools like GRJMOM.
How it works:
Applies a double EMA to the price (EMA of EMA)
Calculates the difference between the fast and slow EMA to emulate IMF behavior
Amplifies the signal for clear visual feedback
Highlights cycle slope changes with background coloring (green = rising, red = falling)
Use Cases:
Use slope direction to detect early phase shifts in the market
Combine with trend indicators to confirm or fade moves
Helps visualize when the market is entering a cycle crest or trough
Best for:
Traders looking to capture short-term reversals, cycle timing, or divergence with smooth and adaptive signals
Can be used on any timeframe
SMA50 Multi-Timeframe Simple🔹 SMA50 Multi-Timeframe Simple – Multi-Timeframe Moving Average Indicator
This indicator displays the 50-period Simple Moving Averages (SMA) calculated across multiple timeframes, providing a clear view of the trend across various market horizons.
✅ Included Timeframes:
5 minutes 🟠
15 minutes 🟡
30 minutes 🔵
1 hour 🟢
4 hours 🔵
1 day 🔴
1 week 🟣
1 month ⚫️
MTF 200MULTI TIME FRAME 200MA
TIMEFRAME
1m 5m 15m 30m 60m 240m 1D
200 SMA
Check the chart for 200ma you were looking at a candle at a certain time
EMA Channel with ATR Offset + 2 Custom EMAsJust an alternative channel indicator to Bollinger Bands or Ketner channels that uses ATR offsets as the corridor of possible movements, which I recommend changing to fit various tickers.
Also thrown in is EMA, default is 100 and 50 periods for trend direction and potential confirmation
EPMA % Impulsive| QuantEdgeBEPMA % Impulsive | QuantEdgeB
🔍 What Is EPMA % Impulsive?
A volatility‐standardized impulse oscillator built on a forward-projected, low-lag moving average baseline. It transforms raw price into a 0–100% “impulse meter” by:
1. Trend Projection: Smoothing price with a double-EMA and fitting a short-term regression line that’s extended forward to anticipate direction.
2. Volatility Normalization: Wrapping that projected level in dynamic standard-deviation bands, then scaling price within those bands to a percentage scale.
3. Impulse Thresholds: Offering fixed, percentile-based, or rolling-volatility triggers to distinguish genuine bursts from noise.
💡 Why It’s Special
• Forward-Looking Base: By projecting the regression line forward, it reduces lag and “chases” trends intelligently.
• Noise-Aware Scaling: Volatility bands adapt in real time—quiet markets tighten bands, explosive markets widen them—ensuring the % reading always reflects true impulse, not random jitter.
• Flexible Thresholds: Static levels for simplicity, percentile ranks for regime-aware signals, or full standard-deviation bands for a purely data-driven approach.
• Dual Signal Styles: “Impulsive” mode for raw crossovers; “Smooth” mode for filtered breakouts that favor trend persistence.
⚙️ Key Components (High-Level)
1. DEMA Regression Engine
o Smooths price with double-EMA, fits a rolling regression, then projects it forward.
2. Volatility Bands
o Computes ±N × SD around the projected line to capture current turbulence.
3. % Scaling & Smoothing
o Maps price into a 0–100% range within those bands, then applies a final EMA to stabilize.
4. Impulse Triggers
o Crosses of the % line vs. your chosen thresholds generate long/short flags.
5. Visualization & Alerts
o Color-coded candles, threshold lines, zone fills, arrow markers, plus alert conditions on crossover/crossunder.
💼 Use Cases & Advantages
• Swing-Entry Precision
Pinpoint true momentum bursts for tighter entries and stops—avoiding false breakouts in choppy environments.
• Trend Confirmation
Validate whether a breakout is a sustained impulse (e.g., > 75th percentile) or just a spike that quickly fades.
• Regime Adaptability
Automatically tune sensitivity in low-volatility consolidations versus high-volatility expansions—no manual adjustments needed.
• Multi-Asset Versatility
Works seamlessly on stocks, futures, FX, crypto, and commodities—because it normalizes entirely to volatility, not price scale.
• Clarity & Confidence
A single, easy-to-interpret % reading plus visual cues make momentum obvious at a glance—empowering quick, data-driven decisions.
• Couple of charts examples.
BTC 1D
ETH 12H
SOL 8H
DOGE 4H
📌 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.
🎨 Default Settings (Example)
• EPMA Lookback: 21 bars, forward-project 50 bars
• Volatility Band: ±2 × SD over 20 bars
• Threshold Type: Percentile 75/25 over 70 bars
• Signal Mode: Impulsive, Bar Color = On
📌 In Summary
EPMA % Impulsive | QuantEdgeB is your forward-projecting, volatility-aware momentum meter—combining regression forecasting with adaptive scaling to surface only the most meaningful impulse moves. Whether you’re timing swing entries or validating breakouts, it turns raw price into a clear, normalized impulse signal that adapts to any market regime.
🔹 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.
UniStratV3 | QuantEdgeBUniversal Strategy V3 | QuantEdgeB
🔍 What is the Universal Strategy?
A dynamic, multi-engine trading framework engineered to adapt across asset classes, timeframes, and market conditions. It fuses multiple complementary signal engines into a single, unified decision model—automatically balancing speed, smoothness, momentum scoring, and breakout precision.
⚙️ Core Characteristics
• Multi-Engine Logic: Combines fast-reacting trend detection, adaptive smoothing, statistical momentum scoring, and volatility-normalized breakout confirmation.
• Modular Architecture: Each engine operates independently yet contributes to a unified signal index—allowing plug-and-play customization or replacement of individual components.
• Adaptive Thresholds: Dynamically adjusts trigger levels based on market volatility, percentile bands, or standard-deviation filters, ensuring robust performance in both quiet and turbulent conditions.
• Unified Signal Aggregation: Individual engine outputs (bullish/bearish) are averaged into a single trend, minimizing noise and reinforcing conviction.
🛠️ Construction & Structure
1. Signal Engines:
o Midline Cross Engines (RSI, Z-Score, ROC): Provide early directional cues by crossing their natural mid‐points.
o StDev Filters: Apply volatility bands around each raw engine to confirm only statistically significant moves.
o Normalized MA Engines: Transform simple, EMA, and ALMA moving averages into 0–1 signals via min/max normalization, capturing cross-asset momentum.
o Slope Engines: Combine base MA bands with normalized thresholds to detect breakouts validated by momentum direction.
o Wave/MACD Engines: Leverage classic MACD and a volume-adjusted wave oscillator to sense cyclical momentum extremes.
2. Aggregation Layers:
o Raw Score Layer: A straightforward average of +1/–1 from each engine subgroup.
o Filtered Score Layer: Applies standard-deviation filters to each engine’s raw value before re-scoring, reducing whipsaws.
o Composite Layer: Merges raw, filtered, normalized MA, slope, and wave scores into a final Trend Probability Index (TPI), which drives the long/short decision.
3. Visualization:
o Candles color-coded by final TPI sign.
o Mid- and threshold-lines (±0.34) denote trigger levels on the composite oscillator.
o Optional real-time tables display engine contributions, overall TPI, and backtest equity.
Each sub-input was selected and “meshed” to ensure no single engine dominates—fast modules flag initial trend, smoother modules confirm, filters refine, and normalization harmonizes scales so the final signal emerges as a balanced, multi-dimensional conviction score.
💡 Key Benefits
• Balance of Reactivity & Reliability: Fast-acting modules catch early trend shifts, while smoother, statistical layers confirm and filter false moves.
• Versatility Across Markets: Designed to work equally well in trending, range-bound, or high-volatility environments, and across equities, FX, commodities, and crypto.
• Customizable & Extensible: Users can tailor the number and type of engines, threshold methodologies, and signal-aggregation rules to match their style and risk tolerance.
• Transparency & Confidence: A real-time signal dashboard shows each engine’s contribution and the overall strategy, offering clear insight into what drives the strategy’s decisions.
📊 Generic Use Cases
1. Trend Capture
Identify and ride sustained directional moves with early-warning and confirmation engines.
2. Breakout Trading
Detect and validate volatility expansions while filtering out whipsaws.
3. Momentum Assessment
Quantify the strength behind price moves to distinguish fleeting spikes from genuine trends.
4. Cross-Asset Rotation
Apply the same framework to multiple symbols—allocating capital to the strongest opportunities.
📌 In Summary
The Universal Strategy V3 | QuantEdgeB is a framework, not a single indicator. By orchestrating diverse, forward-tested methodologies into one cohesive engine—and transparently combining their signals—it delivers adaptive precision, signal clarity, and robust performance—empowering traders to navigate any market environment with data-driven 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.
Multi-Indicator Trading System v2Multi-Indicator Trading System (MITS)
Purpose:
Using WVMA (Volume Weighted Moving Average) + EMA 50 + Bollinger Bands to capture trend reversal points and generate buy/sell signals.
What It Does:
WVMA line shows volume-based price momentum
EMA 50 determines main trend direction
Bollinger Bands display volatility range
BUY signal when price crosses above WVMA and is above EMA
SELL signal when price crosses below WVMA and is below EMA
In Short: Combines Volume + Trend + Volatility to find strong entry points.
Bollinger Bands (SMA) with Trend Filtered Buy/SellOverview
This indicator is a trend-following Bollinger Bands tool based on SMA, enhanced with a 200 SMA filter to display BUY/SELL signals only in the direction of the prevailing trend.
Instead of showing every possible reversal, it focuses on high-probability entries aligned with the trend.
Key Features
Feature Description
Bollinger Bands (SMA) Plots upper, lower, and middle bands using Simple Moving Average (SMA) and standard deviation.
200 SMA Trend Filter Determines the overall market trend (bullish or bearish).
BUY/SELL Signals Generates signals when price reacts from Bollinger Bands.
Trend Filtering Only BUY signals above the 200 SMA, only SELL signals below the 200 SMA.
Alert Function TradingView alerts can be triggered when a signal occurs.
Toggle ON/OFF Option to enable or disable signal display.
Signal Logic
BUY Signal
Price is above the 200 SMA (uptrend)
Previous candle closed below the lower Bollinger Band
Current candle closes back inside the band → Confirmed rebound → BUY signal
SELL Signal
Price is below the 200 SMA (downtrend)
Previous candle closed above the upper Bollinger Band
Current candle closes back inside the band → Confirmed pullback → SELL signal
How to Use
Trend-Following Entries:
Enter trades only in the trend direction, improving accuracy and reducing countertrend trades.
Filter Out False Signals:
The 200 SMA filter removes noise from opposite-trend signals.
Alerts:
Receive notifications when a valid BUY/SELL setup appears without watching the chart constantly.
This indicator is ideal for traders who want to focus on high-probability trend-following setups, especially in markets like Forex or Gold, where strong one-way moves often occur.
このインジケーターは、SMAベースのボリンジャーバンドにトレンドフィルター（200SMA）を追加し、トレンドフォロー型のBUY/SELLシグナルを表示するツールです。
短期の逆張りではなく、大きなトレンド方向に沿ったシグナルだけを出すように設計されています。
主な機能
機能 説明
ボリンジャーバンド (SMA) 期間を指定した単純移動平均（SMA）を基準に、標準偏差で上下のバンドを表示
200SMA（トレンド判定） 現在の相場が上昇トレンドか下降トレンドかを判断
BUY/SELLシグナル ボリンジャーバンドの反発を検出してシグナル表示
トレンドフィルター 200SMAより上ならBUYのみ、200SMAより下ならSELLのみ表示
アラート機能 BUY/SELLシグナル発生時にTradingViewのアラートで通知可能
ON/OFF切替 BUY/SELLシグナルの表示はスイッチでON/OFF可能
シグナルロジック
BUYシグナル
200SMAより上にいる
前の足で価格がボリンジャーバンド下限を下抜け
現在の足でバンド内に戻る → 反発確認 → BUYシグナル表示
SELLシグナル
200SMAより下にいる
前の足で価格がボリンジャーバンド上限を上抜け
現在の足でバンド内に戻る → 反落確認 → SELLシグナル表示
トレードでの使い方
トレンドフォロー型エントリー
→ 200SMAを基準に、相場の方向に沿ったエントリーだけを狙う
逆張りのフィルタリング
→ トレンドに逆らう無駄なシグナルを表示しない
アラート通知
→ チャートを見ていなくても、シグナル発生時に通知可能
このインジケーターは「トレンドフォローの精度を高めたいトレーダー」向けです。
特にゴールドやFXで、一方向の強いトレンドが出やすい相場で有効です。
NADY 15M XAUUSD XAUUSD Auto Buy/Sell Signals – Inside Candle Breakout Strategy (15M TF)
This script auto-generates Buy/Sell signals for XAUUSD (Gold/USD) based on a powerful Inside Candle Breakout Strategy enhanced with:
Key Features:
📊 Inside Candle Pattern Breakouts – Entry when price breaks consolidation candles.
🔄 EMA Crossover Confirmation (9 & 21 EMA) – Confirms short-term trend alignment.
📉 RSI Filter (14 Period) – Avoids overbought/oversold false entries.
🔊 Volume Spike Validation – Ensures breakouts are backed by real volume.
📈 Dynamic Support/Resistance Zones – Auto plots key S/R levels in real-time.
🎯 ATR-Based Dynamic Stop Loss & Take Profit – Adaptive risk management.
♻️ Re-Entry After SL Hit – Supports trend continuation scenarios.
🚫 Debounce Logic – Avoids multiple signals within 10 bars.
🟢🔴 Visual Buy/Sell Arrows, Labels & Colored Background Zones.
📤 Webhook-Ready Alerts (JSON Payloads) – For API bots & auto-execution setups.
Desempenho 4ªs (MA)This Pine Script v5 indicator calculates the performance from Wednesday to Wednesday at 10:30 AM for the charted instrument. Every Wednesday at that time, it records the closing price and computes the percentage change, assigning a signal: +1 for increases above 1 %, -1 for declines below -1 %, and 0 for intermediate movements. It plots a five-period simple moving average on the main chart, color-coded green, red, or gray based on the weekly signal. Vertical dotted lines mark each weekly separation, and two blue horizontal lines denote the ±1 % thresholds for the current week. A label displays the performance percentage and signal.
Sharp Entry TMixture of Combined Technical indicators :
FAST EMA
SLOW EMA
RSI
ADX
VOLUME
Combined together to provide sharp BUY and SELL signals .
