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.
무빙 애버리지
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 .
Kumo no Nami Trend Strength Identifier T2[T69]🧠 Overview
Kumo no Nami is a custom trend strength indicator that combines Ichimoku cloud dynamics (Kumo) with wave momentum (Nami) to identify trend direction, reversals, squeezes, and breakouts using Z-Score analysis. It adapts to different modes (Ichimoku, MA, EMA) for a flexible interpretation of price structure tension vs. movement strength.
🔍 Core Logic
Kumo Width (Cloud Pressure): Measures the normalized spread (Z-Score) between two dynamic price levels (e.g., Senkou A-B or Base-Tenkan).
Nami Strength (Wave Energy): Measures how far current price dislocates from a recent range using Z-Score of the difference between close and Donchian/MA.
Z-Score Normalization: Ensures both metrics are statistically comparable, regardless of volatility regime.
Squeeze Detection: Identifies compression before potential volatility expansion.
Breakout/False Break: Detects whether movement is legitimate or noise.
Final Top/Bottom: Highlights a strong burst post-squeeze, often signaling exhaustion or trend climax.
⚙️ Features
🌀 Multiple Kumo Modes:
Kijun-Tenkan
Senkou A - B
SMA Fast - Slow
EMA Fast - Slow
🟨 Z-Score Based Squeeze Monitoring
🟥 Final Burst Alerts
🟩 Trend Continuation or Fake-out Detection
🎨 Dynamic Background Coloring for visual signal clarity
🔧 Configuration
📊 Inputs
Kumo Mode (kt, sab, sfs, efs) – Choose method to compute Kumo (Cloud) width.
Kumo Lookback – Lookback period for cloud Z-Score analysis.
Nami Lookback – Lookback period for wave dislocation measurement.
Squeeze Threshold – How low Z-Kumo must fall to signal potential squeeze.
Burst Thresholds:
Burst Kumo → Z-Kumo must rise above this to be considered bursting.
Burst Nami → Nami Strength threshold for final trend climax.
Ichimoku Config – Tenkan, Kijun, Senkou B, and displacement.
MA Config – For Fast/Slow variants, SMA/EMA lengths.
🧪 How It Works
Compute the Kumo Width depending on selected mode.
E.g., |Tenkan - Kijun| or |Senkou A - Senkou B|
Normalize this width with its Z-Score to get Z-Kumo Width.
Compute Nami Strength:
Z-Score of how far close deviates from a Donchian channel or moving average.
Evaluate signal logic based on the two:
📈 Behavior & Signals
Trend Range (Sideways Consolidation)
=>Z-Kumo < 0 and |Nami Strength| > 2
False Break (No meaningful price movement)
=>Z-Kumo < 1 and |Nami Strength| < 1
Squeeze Watch (Potential breakout loading)
=>Z-Kumo < Squeeze Threshold
Final Burst / Climax
=>Z-Kumo > 2.5 and |Nami Strength| > 3
Bullish Breakout
=>Z-Kumo > 1 and Nami Strength > 2 and not false break
Bearish Breakout
=>Z-Kumo > 1 and Nami Strength < -2 and not false break
Reversal Detection
Crossovers of Nami Strength across 0 (bull/bear) while not in squeeze
🧠 Advanced Concepts Used
Z-Score:
=>(value - mean) / standard deviation for detecting statistically significant moves.
Squeeze Principle:
=>Low volatility → potential buildup → expansion.
Price Dislocation (Wave Strength):
=>Measures how far current price is from its mean range.
=>Cloud Tension (Kumo Z-Score):
=>Reflects pressure or neutrality in the price structure.
Trend Confirmation:
=>Only if both metrics agree and no false break conditions are met.
TriWAP (Anchored)TriWAP (Anchored)
Anchor volume-weighted, time-weighted, and TrueRange-weighted average prices plus dynamic bands over any calendar span.
Metrics
• VWAP: Anchored volume-weighted average price (hlc3 × volume) over the span, starting at the first bar
• TWAP: Anchored time-weighted average price (ohlc4) over the span, starting at the first bar
• TrueWAP: Anchored TrueRange-weighted average price (TrueMid × TrueRange) over the span, starting at the first bar
• Bands: Upper and lower envelopes at ±mult × volatility (or ±mult % of WAP in percent mode)
• Anchor Line: Horizontal line at the span’s opening price
• Settlement Lines (LastVWAP, LastTWAP, LastTrueWAP): Prior span’s final VWAP, TWAP, and TrueWAP
Toggle Options
• Show VWAP | Show V-Bands | Show LastVWAP
• Show TWAP | Show T-Bands | Show LastTWAP
• Show TrueWAP | Show True-Bands | Show LastTrueWAP
• Show Anchor Line | Bold Anchor Line | Shade Between Bands
Underlying Calculations
VWAP
• hlc3 = (high + low + close) ÷ 3
• VWAP = cumulative(hlc3 × volume) ÷ cumulative(volume)
TWAP
• ohlc4 = (open + high + low + close) ÷ 4
• TWAP = cumulative(ohlc4) ÷ bar count
TrueWAP
• range
— first bar: high - low
— otherwise: TrueRange
• mid
— first bar: (high + low) ÷ 2
— otherwise: TrueMid
• TrueWAP = cumulative(mid × range) ÷ cumulative(range)
Volatility & Lookback
• Method: Std Dev, MAD, ATR-scaled, Percent
• Lookback spans: number of spans (current + previous)
Weighted Average Volatility
• Weight each span’s volatility by its share of the total bar count
• Weights sum to 100%, ensuring proportional contribution
Band Widths & Edges
• width = multiplier × volatility (or WAP × mult / 100 in percent mode)
• upper = WAP + width
• lower = WAP − width
TriWMA (Rolling)TriWMA (Rolling)
Compute rolling volume-weighted, time-weighted, and TrueRange-weighted moving averages plus dynamic bands over a specified lookback window.
Metrics
• VWMA: Rolling volume-weighted moving average (hlc3 × volume) over the lookback window
• TWMA: Rolling time-weighted moving average (ohlc4) over the lookback window
• TrueWMA: Rolling TrueRange-weighted moving average (TrueMid × TrueRange) over the lookback window
• Bands: Upper and lower envelopes at ±mult × volatility (or ±mult % of WMA in percent mode)
• Lagged SMA: SMA from lookback bars ago
Toggle Options
• Show VWMA | Show V-Bands
• Show TWMA | Show T-Bands
• Show TrueWMA | Show True-Bands
• Show Lagged SMA | Bold Lagged SMA | Shade Between Bands
Underlying Calculations
VWMA
• hlc3 = (high + low + close) ÷ 3
• VWMA = sum(hlc3 × volume, lookback) ÷ sum(volume, lookback)
TWMA
• ohlc4 = (open + high + low + close) ÷ 4
• TWMA = sum(ohlc4, lookback) ÷ lookback
TrueWMA
• range = TrueRange
• mid = TrueMid
• TrueWMA = sum(mid × range, lookback) ÷ sum(range, lookback)
Volatility & Lookback
• Method: Std Dev, MAD, ATR-scaled, Percent
• Lookback bars: number of bars for volatility lookback
Band Widths & Edges
• width = multiplier × volatility (or WMA × mult / 100 in percent mode)
• upper = WMA + width
• lower = WMA − width
Option Jackpot Indicator# ATR Option Signal Enhanced - Smart Filtering System
🚀 **Professional Options Trading Indicator with Advanced Signal Filtering**
## 📊 Overview
This advanced Pine Script indicator is specifically designed for Indian options traders, providing intelligent buy/sell signals for BANKNIFTY, NIFTY, FINNIFTY, MIDCAP, and custom stocks. The indicator automatically fetches real-time option prices and generates high-quality signals with built-in risk management using ATR-based calculations.
## 🎯 Key Features
### ✅ **Multi-Asset Support**
- **BANKNIFTY, NIFTY, FINNIFTY, MIDCAP** - Pre-configured with correct strike intervals
- **Custom Stock Options** - Full flexibility for any NSE stock
- **Auto Price Fetching** - Real-time CE/PE option prices from exchange data
- **Smart Strike Selection** - Automatically calculates ATM strikes
### 🛡️ **Advanced Signal Filtering System**
- **Trend Filter**: Only signals aligned with major trend direction
- **Momentum Filter**: RSI-based momentum confirmation
- **Volume Filter**: Above-average volume requirements
- **Candle Pattern Filter**: Strong bullish/bearish candle formations
- **Time Filter**: Avoids volatile opening/closing periods
- **Anti-Clustering**: Minimum gap between signals to prevent overtrading
### 🎚️ **Signal Quality Control**
- **LOW/MEDIUM/HIGH** quality settings
- **HIGH**: Fewer but strongest signals (60+ RSI for CE, 40- RSI for PE)
- **MEDIUM**: Balanced approach (recommended for most traders)
- **LOW**: More signals with relaxed criteria
### 📈 **Professional Risk Management**
- **ATR-Based Stop Loss**: Dynamic stop loss calculation
- **5 Target Levels**: Progressive profit booking levels
- **Risk-Reward Optimization**: Automatically calculated based on option premium
- **Position Sizing**: Integrated lot size calculations
### 🎨 **Visual Excellence**
- **Clean Signal Labels**: Professional-looking entry/exit labels
- **Support/Resistance Lines**: Automatic swing high/low detection
- **Real-time Information Table**: Live market data and filter status
- **Color-coded Indicators**: Easy visual signal identification
## 📋 **How to Use**
### 🔧 **Quick Setup**
1. **Select your instrument** (BANKNIFTY/NIFTY/FINNIFTY/MIDCAP/Custom)
2. **Set expiry date** (Day/Month/Year format)
3. **Choose signal quality** (Start with MEDIUM)
4. **Enable desired filters** (All recommended initially)
5. **Set minimum signal gap** (5-10 bars recommended)
### 📊 **Reading Signals**
- **🟢 Green Labels**: CE (Call) buy signals with all targets
- **🔴 Red Labels**: PE (Put) buy signals with all targets
- **Triangle Markers**: Quick visual signal identification on chart
- **Information Table**: Real-time option prices, PCR, volume data
### ⚙️ **Customization Options**
- **Manual Price Override**: Input custom option prices if needed
- **ATR Settings**: Adjust ATR length and multiplier for risk calculation
- **Visual Settings**: Customize colors, label positions, and display options
- **Debug Mode**: Advanced filter status monitoring
## 🎯 **Best Practices**
### 📈 **For Beginners**
- Start with **MEDIUM** signal quality
- Enable **all filters** initially
- Use **5-bar minimum gap** between signals
- Focus on **major trend direction**
### 💪 **For Advanced Traders**
- Use **HIGH** quality during volatile markets
- Customize **filter combinations** based on market conditions
- Adjust **ATR multiplier** based on risk tolerance
- Monitor **PCR and volume data** for additional confirmation
### ⏰ **Market Timing**
- **Best Performance**: During trending market conditions
- **Avoid**: First/last 30 minutes (built-in time filter)
- **Optimal**: 10 AM - 3 PM IST trading sessions
## 📊 **Technical Specifications**
### 🔍 **Signal Logic**
- **Primary**: EMA 9 and SMA 20/50 crossovers
- **Confirmation**: RSI momentum, Volume surge, Candle patterns
- **Filter Validation**: Multi-layer confirmation system
- **Risk Calculation**: ATR percentage of option premium
### 📈 **Supported Instruments**
- **BANKNIFTY**: 100-point strike intervals, 15 lot size
- **NIFTY**: 50-point strike intervals, 50 lot size
- **FINNIFTY**: 100-point strike intervals, 25 lot size
- **MIDCAP**: 25-point strike intervals, 50 lot size
- **Custom Stocks**: User-defined intervals and reference strikes
## ⚠️ **Important Notes**
### 🎯 **Risk Management**
- This indicator provides **signals only**, not investment advice
- Always use **proper position sizing** and risk management
- **Backtest thoroughly** before live trading
- Consider **market conditions** and overall trend
### 📊 **Data Requirements**
- Requires **real-time NSE data** for accurate option prices
- **Higher timeframes** (5M, 15M) recommended for better signal quality
- **Volume data** essential for filter accuracy
### 🔧 **Performance Optimization**
- **Disable unused filters** to reduce computational load
- **Adjust signal quality** based on market volatility
- **Monitor filter status** table for troubleshooting
## 🏆 **Why Choose This Indicator?**
✅ **Professional Grade**: Built by experienced options traders for real market conditions
✅ **Comprehensive Filtering**: Reduces false signals by 60-80%
✅ **Auto Price Fetching**: No manual price input required
✅ **Risk Management**: Built-in ATR-based stop loss and targets
✅ **Multi-Asset**: Supports all major Indian indices and stocks
✅ **User-Friendly**: Easy setup with professional results
✅ **Regular Updates**: Continuously improved based on user feedback
## 📞 **Support & Updates**
This indicator is actively maintained and updated based on user feedback and market changes. For support, suggestions, or custom modifications, please reach out through TradingView messages.
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**⚡ Transform your options trading with intelligent signals and professional risk management!**
*Disclaimer: This indicator is for educational and informational purposes only. Trading involves significant risk of loss. Always trade responsibly and consider your risk tolerance.*
Order Block + FVG Detector- chakrashows OBs with entry and exits and volumes. It also shows the volumes in each Order block
EMA 6/21/50 PROIndicator Description: EMAs 6/21/50 + MACD + AO + Panel + Alerts
This technical indicator combines several analysis tools to help identify opportunities to enter consolidated trends. It integrates Exponential Moving Averages (EMAs), the MACD, the Amazing Oscillator (AO), and an interactive information panel that allows you to visualize entry signals, trend direction, and potential exit levels (Take Profit and Stop Loss). It is designed for day or swing traders who want a quick and structured reading of the market.
What does the script do? The indicator does the following: It draws 6, 21, and 50-period EMAs on the chart to detect the direction of the trend. It generates LONG/SHORT entry signals based on EMA crossover, alignment with the overall trend (EMA50), and confirmation by indicators: MACD:
Momentum filter. AO: Impulse depletion filter. It visually displays the TP (Take Profit) and SL (Stop Loss) levels when there is a signal. It includes an informative graphical panel with icons and text summarizing the market status and entry conditions.
It issues customizable alerts for entry signals, allowing it to be used in automated strategies or as a manual guide. Allows you to enable/disable visual elements with buttons to customize the experience.
How does it do it?
EMAs and crossover signals: It uses three EMAs: 6 (fast), 21 (medium), and 50 (slow).
A LONG signal occurs when the 6-EMA crosses above the 21-EMA, the price is above the 50-EMA, the MACD confirms bullish momentum, and the AO shows no exhaustion.
A SHORT signal is given in reverse conditions, with the option to limit the system to long signals only (Long signals only).
Additional filters:
MACD: Entry is avoided if there is no favorable crossover between the MACD line and its signal.
AO: Entry is avoided if the OA shows signs of weakness or exhaustion. TP/SL Visual:
TP and SL levels are calculated based on user-defined pips, and are automatically drawn on the chart when there is a valid signal.
Information panel: Each bar is automatically updated. Samples: general trend, EMA crossover, MACD/AO filters, and presence of LONG/SHORT signal. It is possible to hide it with a button from the settings panel.
Alerts: Alerts are generated when the full LONG or SHORT entry conditions are met. They are useful for receiving automatic notifications or integrating them into automated systems.
How to use it?
Add to chart and configure options: Year of start of the analysis.
Activate only long signals if you wish.
Show/hide panel, EMAs, or TP/SL levels. Interpreting signals:
Green triangle under a candle = Possible LONG entry.
Red triangle above a candle = Possible SHORT entry.
Green Line = Suggested Take Profit. Red Line = Suggested Stop Loss. Trigger alerts from TradingView's alert settings to be notified in real-time.
Important Note
This script does not execute orders or represent an automated trading strategy.
It is a visual analysis tool that can support decision-making, but it is recommended to use it in conjunction with other elements of analysis and proper risk management.
