MES Etap 0EN:
One indicator replacing seven. Designed for learning to read the market and exporting clean data for AI analysis.
What's inside:
Session VWAP with standard deviation bands (1σ, 2σ)
EMA 8, 20, 50, 200 with proper column names in CSV export
ATR(14) and RVOL (relative volume) in Data Window
Cross-asset data: VIX, NQ, RTY, US10Y, DXY on every candle
Live data table in the top-right corner (optional)
Why this exists:
TradingView's CSV export labels default EMA indicators as "Plot". Four EMAs = four "Plot" columns and you can't tell which is which. This indicator solves that: every column has a readable name (EMA_8, EMA_20, VWAP, ATR_14, VIX, NQ...). One export = complete data record ready for analysis.
Who it's for:
MES/ES traders building an R&D system with AI. Readers of the "Bractwo Rynku" book series. Anyone who wants clean, labeled data exports from TradingView.
Editable parameters:
EMA, ATR, RVOL periods, VWAP band multipliers, toggle table and bands on/off.
Takes 1 indicator slot. On Essential plan (limit 5) you still have room for Volume and more.
Open source. Repo: github.com/Badmike81/bractworynku-etap0
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AVANTI MASTER PRO FINALAVANTI MASTER PRO FINAL – Smart Intraday Trend & Breakout System
AVANTI MASTER PRO FINAL is an advanced intraday trading indicator designed to identify high-probability buy and sell opportunities using a combination of trend analysis, momentum strength, breakout scoring, and smart money behavior.
This indicator integrates multiple technical factors such as EMA trend structure, RSI momentum, breakout strength analysis, buildup detection, ADX trend strength filter, and multi-timeframe confirmation to help traders avoid sideways markets and focus on strong trending moves.
The system automatically generates entry signals and calculates risk-reward targets for different instruments.
Key Features
Trend Detection
Uses EMA 9, EMA 30, and EMA 200 to determine the overall market trend.
Multi-Timeframe Trend Filter
Signals are confirmed only when 5-minute and 15-minute trends align, improving trade accuracy.
Breakout Strength Score
A scoring system evaluates multiple bullish and bearish conditions to determine breakout probability.
RSI Momentum Confirmation
RSI is used to validate market momentum before generating signals.
ADX Trend Strength Filter
Signals are generated only when ADX > 23, helping to avoid sideways markets.
Buildup Analysis
Detects Long Buildup, Short Buildup, Short Covering, and Long Unwinding based on price and volume behavior.
Auto Target System
Automatically calculates Entry, TP1, TP2, TP3, and Stop Loss depending on the instrument.
Supported Instruments
Targets are optimized for:
• NIFTY
• Stock Options
• Crude Oil
• Natural Gas
Dashboard Information
The built-in dashboard displays key market insights such as:
• Trend status
• RSI momentum
• Breakout / Breakdown strength
• ADX trend strength
• Market buildup
• Trade zone indication
Best Use
This indicator is designed for intraday trading and trend continuation setups where strong momentum and trend confirmation are present.
Works best in trending markets.
Developed by AVANTI STOCKS – Satish D. Nakhate อินดิเคเตอร์
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3 EMAs Minimalistas con EtiquetasEste script traza tres Medias Móviles Exponenciales (EMAs) configurables con un enfoque en la limpieza del gráfico. A diferencia de otros indicadores, este incluye etiquetas dinámicas al final de cada línea que identifican el periodo de la EMA (ej. "EMA 20", "EMA 200") con su color correspondiente.
Características principales:
Diseño Clean: Sin etiquetas que obstruyan las velas; los nombres flotan a la derecha del precio.
Totalmente Personalizable: Cambia periodos y colores desde el menú de configuración.
Optimizado: Código ligero en Pine Script v5/v6 que no ralentiza el gráfico.
Ideal para: Identificar rápidamente tendencias de corto, mediano y largo plazo sin saturar el panel.
This script plots three customizable Exponential Moving Averages (EMAs) with a focus on visual clarity. Designed for traders who prefer a clutter-free chart, it features intelligent identification labels that only appear at the end of the lines, preventing the "spaghetti" look often caused by standard indicator labels.
Key Features:
Minimalist Design: Clear identification labels positioned at the end of each EMA line.
Smart UI: Labels automatically update their position and color to match your settings.
Fully Customizable: Easily adjust periods and colors directly from the settings menu.
Performance Optimized: Lightweight code that keeps your charts running smoothly.
Trend Identification: Quickly visualize short, medium, and long-term trends at a glance.
Usage:
Perfect for day trading, swing trading, or long-term analysis. Use the settings panel to tailor the EMA lengths to your specific strategy (e.g., 9/21/50 for scalping or 50/100/200 for trend following). อินดิเคเตอร์
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อินดิเคเตอร์
Configurable EMA Stack StrategyThis strategy uses a configurable exponential moving average (EMA) stack to define directional bias and an EMA cross to manage entries and exits.
The script calculates six user-defined EMAs (EMA 1 through EMA 6). Each EMA can be shown or hidden on the chart independently, and each can also be included or excluded from the bias filter. When multiple EMAs are enabled for bias, the script requires them to be strictly aligned in sequence:
Bullish bias: shorter enabled EMAs must be above longer enabled EMAs
Bearish bias: shorter enabled EMAs must be below longer enabled EMAs
Trade execution is driven by the EMA 1 / EMA 2 cross:
Long entries occur when bullish bias is active and EMA 1 crosses above EMA 2, or when bullish bias becomes active while EMA 1 is already above EMA 2
Short entries occur when bearish bias is active and EMA 1 crosses below EMA 2, or when bearish bias becomes active while EMA 1 is already below EMA 2
Long exits occur when EMA 1 crosses below EMA 2
Short exits occur when EMA 1 crosses above EMA 2
Default script settings use 0.10% commission and 1 tick of slippage. These are baseline placeholders for testing and should be adjusted to match the instrument, market, and timeframe being evaluated.
This is a simple, transparent trend-following baseline designed for testing EMA alignment behavior across different symbols and timeframes. The main configurable element is not a proprietary signal model, but the ability to control which EMAs participate in the bias stack and which EMA plots are visible on the chart. That makes it useful as a flexible template for studying how stricter or looser EMA alignment changes trade frequency and behavior.
Default strategy properties currently include commission and slippage. Those settings should be reviewed and adjusted to fit the market being tested. TradingView’s strategy rules require realistic cost assumptions, and if you change the defaults used in the script, the publication description should match the settings shown in your published backtest.
Important notes:
This is not presented as a complete trading system or a promise of performance
Results will vary by symbol, timeframe, market conditions, fees, slippage, and position sizing
This script is intended as an educational and analytical baseline that users can test and adapt to their own process กลยุทธ์
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อินดิเคเตอร์
อินดิเคเตอร์
EMA and Dow Theory Strategies V3Overview
EMA and Dow Theory Strategies V3 is a major refinement of V2, focused on three goals: reducing overfitting, filtering out range-bound markets, and simplifying the parameter set from 13 inputs down to just 5.
The core logic remains the same — combining Dow Theory swing structure with EMA trend direction — but V3 replaces the dual-EMA crossover system and OTHERS.D correlation filter with a single EMA slope judgment and an ADX-based range filter. The result is a cleaner, more robust strategy that performs more consistently across different assets and timeframes.
What Changed from V2
Removed:
Fast EMA / Slow EMA crossover → replaced by single EMA slope direction
Index Fast EMA / Index Slow EMA (OTHERS.D correlation) → removed entirely
RSI filter (overbought/oversold) → removed (was not functioning effectively)
Scale adjustment parameter → removed
Added:
ADX filter (period fixed at 14) → skips entries during sideways/ranging markets
Single EMA slope judgment → trend direction determined by whether EMA is rising or falling
Result: Parameters reduced from 13 → 5
Parameters & Recommended Ranges
EMA Period | Default: 50 | Range: 30–100
Shorter for high-volatility assets, longer for stable ones.
ATR Multiplier | Default: 4.0 | Range: 2.5–6.0
Controls TP distance. Higher = wider targets.
Stop Loss (%) | Default: -6.0 | Range: -4 to -10
Wider for volatile assets, tighter for BTC/ETH.
ADX Threshold | Default: 18.0 | Range: 15–28
Higher = stricter range filter, fewer but higher-quality trades.
Swing Detection Period | Default: 4 | Range: 2–14
Smaller = more sensitive to swing highs/lows.
Recommended Settings by Asset Type
Meme coins (DOGE, SHIB, etc.)
EMA: 44–55 / ATR: 3.5–5.0 / SL: -6 to -8% / ADX: 18–22 / Swing: 3–5
Major assets (BTC, ETH)
EMA: 55–80 / ATR: 2.5–4.0 / SL: -4 to -6% / ADX: 20–25 / Swing: 5–10
Mid-cap alts (SOL, SUI, etc.)
EMA: 35–55 / ATR: 4.0–5.5 / SL: -5 to -7% / ADX: 18–23 / Swing: 4–7
Small-cap alts
EMA: 30–50 / ATR: 4.5–6.0 / SL: -7 to -10% / ADX: 18–22 / Swing: 3–5
Recommended Settings by Timeframe
1–5 min: ADX threshold 15–20 (ADX tends to be lower on short timeframes)
15 min – 1 hour: ADX threshold 18–23
2–4 hour: ADX threshold 20–25
Entry Conditions
Long: EMA slope rising AND Dow Theory trend up AND ADX > threshold
Short: EMA slope falling AND Dow Theory trend down AND ADX > threshold
Exit Conditions
TP1: +ATR×1 → close 30%
TP2: +ATR×2 → close 30%
TP3: +ATR×3 → close 30%
Stop Loss: fixed % from entry price → full close
Trend reversal: Dow Theory swing flip → full close
Visual Features
EMA line: green when rising, red when falling
Gray background: ADX below threshold (range-bound zone — no entries)
Gradient zones: distance from price to swing high/low
4H reference: higher timeframe swing levels displayed
This strategy is designed for trend-following on crypto assets, primarily on the 1H–4H timeframe. Always backtest on your target asset before live trading. Past performance does not guarantee future results.
🇯🇵 日本語
EMA and Dow Theory Strategies V3
概要
EMA and Dow Theory Strategies V3 は、V2を大幅に改良したバージョンです。主な改善点は3つ——過学習リスクの低減、横ばい相場のフィルタリング、そしてパラメーター数を13個から5個へのスリム化です。
コアロジックはV2から引き継いでいます。ダウ理論のスイング構造とEMAのトレンド方向を組み合わせてエントリーを判断します。ただしV3では、デュアルEMAクロスとOTHERS.D相関フィルターを廃止し、1本のEMA傾きとADXによるレンジフィルターに置き換えました。結果として、より汎用性が高く、異なる銘柄・時間足でも安定して機能する設計になっています。
V2からの主な変更点
削除したもの：
Fast EMA / Slow EMA クロス → EMA1本の傾き判断に統合
Index Fast EMA / Index Slow EMA（OTHERS.D相関）→ 完全削除
RSIフィルター（過熱・売られすぎ判定）→ 削除（実質機能していなかったため）
スケール調整パラメーター → 削除
追加したもの：
ADXフィルター（期間14固定）→ 横ばい相場でのエントリーをスキップ
EMA傾き判断 → EMAが上向きか下向きかでトレンド方向を判定
結果：パラメーター数を 13個 → 5個 に削減
パラメーターと推奨設定範囲
EMA期間 | デフォルト: 50 | 推奨範囲: 30〜100
ボラが高い銘柄は短め、安定銘柄は長め。
ATR倍率 | デフォルト: 4.0 | 推奨範囲: 2.5〜6.0
TP距離の基準。大きいほど利確ラインが遠くなる。
損切り(%) | デフォルト: -6.0 | 推奨範囲: -4〜-10
ボラが高い銘柄は広め、BTC/ETHはタイトでOK。
ADXしきい値 | デフォルト: 18.0 | 推奨範囲: 15〜28
高いほどレンジ除外が厳しく、トレード数が減り精度が上がる。
スイング検出期間 | デフォルト: 4 | 推奨範囲: 2〜14
小さいほどスイング高値・安値への感度が高くなる。
銘柄タイプ別おすすめ設定
ミーム系（DOGE・SHIBなど）
EMA: 44〜55 / ATR倍率: 3.5〜5.0 / 損切り: -6〜-8% / ADX: 18〜22 / スイング: 3〜5
主要銘柄（BTC・ETH）
EMA: 55〜80 / ATR倍率: 2.5〜4.0 / 損切り: -4〜-6% / ADX: 20〜25 / スイング: 5〜10
中堅アルト（SOL・SUIなど）
EMA: 35〜55 / ATR倍率: 4.0〜5.5 / 損切り: -5〜-7% / ADX: 18〜23 / スイング: 4〜7
小型アルト
EMA: 30〜50 / ATR倍率: 4.5〜6.0 / 損切り: -7〜-10% / ADX: 18〜22 / スイング: 3〜5
時間足別おすすめ設定
1〜5分足：ADXしきい値 15〜20（短期足はADXが低めになる傾向）
15分〜1時間足：ADXしきい値 18〜23
2〜4時間足：ADXしきい値 20〜25
エントリー条件
ロング：EMAが上向き AND ダウ理論トレンドが上昇 AND ADX > しきい値
ショート：EMAが下向き AND ダウ理論トレンドが下降 AND ADX > しきい値
イグジット条件
TP1：エントリーから +ATR×1 → 30%決済
TP2：エントリーから +ATR×2 → 30%決済
TP3：エントリーから +ATR×3 → 30%決済
損切り：設定%を超えたら全決済
トレンド反転：ダウ理論のスイングが逆転したら決済
チャートの見方
EMAライン：上向きのとき緑、下向きのとき赤に色が変わります
グレー背景：ADXがしきい値を下回っている横ばいゾーン（このゾーンではエントリーしません）
グラデーションゾーン：現在値からスイング高値・安値までの距離を視覚化
上位足表示：4時間足のスイングレベルを参考表示
このストラテジーは主に1時間〜4時間足の暗号資産トレンドフォローを想定して設計されています。実運用の前に必ずご自身の対象銘柄・時間足でバックテストを行ってください。過去の結果は将来の利益を保証するものではありません。 กลยุทธ์
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Nova Statistical Filtering Oscillator [Pineify]Nova Statistical Filtering Oscillator - Advanced Mean Reversion Trading Tool
A sophisticated statistical oscillator that identifies overbought and oversold market conditions using Z-Score normalization and dynamic volatility bands
The Nova Statistical Filtering Oscillator (NSFO) is an advanced technical analysis tool designed to help traders identify potential mean reversion opportunities in financial markets. By combining statistical price normalization with adaptive smoothing techniques, this indicator provides a unique approach to detecting extreme price conditions and anticipating momentum reversals.
Z-Score based statistical analysis
Triple Exponential Moving Average (TEMA) smoothing
Dynamic volatility bands
Automatic mean reversion signal generation
Gradient color visualization
Customizable parameters
Statistical overbought/oversold detection
Noise reduction through TEMA smoothing
Adaptive bands that adjust to market volatility
Clear buy and sell signal indicators
Visual gradient coloring for quick analysis
Configurable alert conditions
The NSFO operates through a sophisticated three-step statistical process that transforms raw price data into actionable trading signals.
Step 1: Z-Score Calculation
The indicator first calculates the Z-Score, which measures how many standard deviations the current price is from its historical mean. This statistical normalization allows traders to objectively identify when price has moved to statistically extreme levels. The formula uses a configurable lookback period (default 20 bars) to compute both the simple moving average (mean) and standard deviation. A Z-Score greater than +2 or less than -2 indicates statistically rare extreme conditions, occurring approximately only 5% of the time.
Step 2: TEMA Smoothing
Raw Z-Score values can be volatile and produce choppy signals. The NSFO applies Triple Exponential Moving Average (TEMA) smoothing to reduce market noise while maintaining responsiveness. TEMA combines three successive EMAs using the formula: 3×EMA1 - 3×EMA2 + EMA3, achieving smoother results with less lag compared to traditional moving averages.
Step 3: Dynamic Volatility Bands
Unlike static overbought/oversold levels, the NSFO creates adaptive bands based on the volatility of the smoothed oscillator itself. This self-referential approach automatically adjusts to changing market conditions - becoming wider during volatile markets and narrower during calm periods. The bands are calculated using the standard deviation of the smoothed oscillator multiplied by a configurable factor (default 2.0).
The NSFO is built on the fundamental principle of mean reversion - the statistical observation that prices tend to return to their average over time. This concept has been validated through decades of market research and forms the basis of many successful trading strategies.
Statistical Extremes as Trade Setups : When the oscillator reaches the upper or lower bands, it indicates the price has moved to a statistically extreme level. These conditions often precede reversals as the market corrects itself back toward the mean.
Momentum Confirmation : The gradient coloring system provides instant visual feedback on current momentum. When the oscillator transitions from extreme levels toward the center, it confirms that momentum is shifting and the reversal may be gaining strength.
Time Frame Flexibility : The NSFO performs well across various time frames, from intraday charts to weekly frames. Shorter time frames generate more signals but require tighter risk management, while longer time frames produce fewer but potentially more reliable signals.
The NSFO uniquely combines three distinct technical concepts into a cohesive system:
Statistical Analysis (Z-Score) : Provides the mathematical foundation for identifying extreme price conditions using probability theory. This transforms subjective "overbought" or "oversold" labels into quantifiable statistical measurements.
Moving Average Smoothing (TEMA) : Reduces the inherent noise in raw statistical values while maintaining sensitivity to genuine price movements. The triple-layer EMA approach minimizes lag that typically affects simple moving averages.
Volatility-Based Bands : Creates adaptive thresholds that automatically adjust to current market conditions. This dynamic approach outperforms fixed-level indicators by accounting for the reality that market volatility changes over time.
The synergy between these three components creates a robust system where each element addresses a weakness in the others. The Z-Score provides statistical rigor, TEMA adds smoothness for actionable signals, and dynamic bands ensure the indicator remains effective across varying market conditions.
The Nova Statistical Filtering Oscillator offers several distinctive features that set it apart from traditional technical indicators:
Self-Referential Adaptation : The volatility bands are calculated from the oscillator's own standard deviation, creating a truly adaptive system that automatically adjusts to current market conditions without manual parameter changes.
Gradient Visualization : The color gradient provides at-a-glance understanding of current market position relative to statistical extremes, making it easy to identify both extreme conditions and transitions.
Zero Baseline Clarity : The central baseline at zero represents the statistical mean, providing an immediate visual reference point for understanding whether price is above or below its historical average.
Clean Signal Generation : Buy and sell signals are generated only when the oscillator crosses back from extreme levels, filtering out premature entries and focusing on confirmed reversals.
Using the NSFO effectively requires understanding both its signals and its limitations. Here's how to integrate it into your trading strategy:
Identifying Overbought Conditions : When the oscillator crosses below the upper band (red line), it indicates the price has extended statistically above its average. This suggests a potential selling opportunity as the market may revert toward the mean.
Identifying Oversold Conditions : When the oscillator crosses above the lower band (green line), it indicates the price has dropped statistically below its average. This suggests a potential buying opportunity as the price may bounce back toward the mean.
Signal Confirmation : Wait for the oscillator to cross back toward the center (zero line) before entering a trade. This confirms the reversal is underway rather than just touching the extreme level.
Trend Context : Always consider the broader trend direction. In strong trending markets, the oscillator may remain at extreme levels for extended periods. Use additional trend indicators for confirmation.
Important Note: No indicator guarantees profitable trades. Always use proper risk management and consider combining NSFO with other technical or fundamental analysis tools for better decision-making.
The NSFO provides several customizable parameters to suit different trading styles and market conditions:
Statistical Window (default: 20) : Controls the lookback period for calculating mean and standard deviation. Higher values produce more stable readings but respond slower to price changes. Lower values are more responsive but may generate more false signals.
Smoothing Length (default: 10) : TEMA period for reducing noise in the Z-Score. Higher values create smoother lines with more lag, while lower values are more responsive but potentially noisier.
Bands Multiplier (default: 2.0) : Controls the width of dynamic bands in standard deviations. Higher values create wider bands, reducing false signals but potentially missing some opportunities. Lower values generate more signals but with increased noise.
Color Customization : Traders can customize bullish (green) and bearish (red) colors to match their visual preferences or other indicators in their chart setup.
The Nova Statistical Filtering Oscillator represents a sophisticated approach to identifying statistical extremes in financial markets. By combining Z-Score normalization with TEMA smoothing and dynamic volatility bands, it provides traders with a powerful tool for detecting potential mean reversion opportunities.
Its adaptive nature ensures effectiveness across various market conditions, while the clear visual signals make it accessible to traders of all experience levels. Whether used as a primary trading system or as a confirmation tool alongside other indicators, the NSFO offers a unique perspective on market dynamics that can enhance your trading decisions.
Remember to always test any new indicator thoroughly on historical data before using it with real capital, and maintain disciplined risk management practices regardless of the signals generated.
This indicator is provided for educational and informational purposes only. Past performance does not guarantee future results. Trading financial markets involves substantial risk, and you should only trade with capital you can afford to lose. Always conduct your own research and consider your financial situation before making any trading decisions.
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อินดิเคเตอร์
