Exponential Moving Average (EMA)

Options Strategy V2.0 📈 Options Strategy V2.0 – Intraday Reversal-Resilient Momentum System Overview: This strategy is designed specifically for intraday SPY, TSLA, MSFT, etc. options trading (0DTE or 1DTE), using high-probability signals derived from a confluence of technical indicators: EMA crossovers, RSI thresholds, ATR-based risk control, and volume spikes. The strategy aims to capture strong directional moves while avoiding overtrading, thanks to a built-in cooldown logic and optional time/session filters. ⚙️ Core Concept The strategy executes trades only in the direction of the prevailing trend, determined by short- and long-term Exponential Moving Averages (EMA). Entry signals are generated when the Relative Strength Index (RSI) confirms momentum in the direction of the trend, and volume spikes suggest institutional activity. To increase adaptability and user control, it includes a highly customizable parameter set for both long and short entries independently. 📌 Key Features ✅ Trend-Following Logic Long entries are only allowed when EMA(short) > EMA(long) Short entries are only allowed when EMA(short) < EMA(long) ✅ RSI Confirmation Long: Requires RSI crossover above a configurable threshold Short: Requires RSI crossunder below a configurable threshold Optional rejection filters: Entry blocked above/below specific RSI extremes ✅ Volume Spike Filter Confirms institutional participation by comparing current volume to an average multiplied by a user-defined factor. ✅ ATR-Based Risk Management Both Stop Loss (SL) and Take Profit (TP) are dynamically calculated using ATR × a multiplier. TP/SL ratio is fully configurable. ✅ Cooldown Control After every trade, the system waits for a set number of bars before allowing new entries. This prevents overtrading and increases signal quality. Optionally, cooldown is ignored for reversal trades, ensuring the system can react immediately to a confirmed trend change. ✅ Candle Body Filter (Noise Control) Avoids trades on candles with too small bodies relative to wicks (often noise or indecision candles). ✅ VWAP Confirmation (Optional) Ensures price is trading above VWAP for long entries, or below for short entries. ✅ Time & Session Filters Trades only during regular market hours (09:30–16:00 EST). No-trade zone (e.g., 14:15–15:45 EST) to avoid low-liquidity traps or late-day whipsaws. ✅ End-of-Day Auto Close All open positions are force-closed at 15:55 EST, protecting against overnight risk (especially relevant for 0DTE options). 📊 Visual Aids EMA plots show trend direction VWAP line provides real-time mean-reversion context Stop Loss and Take Profit lines appear dynamically with each trade Alerts notify of entry signals and exit triggers 🔧 Customization Panel Nearly every element of the strategy can be tailored: EMA lengths (short and long, for both sides) RSI thresholds and length ATR length, SL multiplier, and TP/SL ratio Volume spike sensitivity Minimum EMA distance filter Candle body ratio filter Session restrictions Cooldown logic (duration + reversal exception) This makes the strategy extremely versatile, allowing both conservative and aggressive configurations depending on the trader’s profile and the market context. 📌 Example Use Case: SPY Options (0DTE or 1DTE) This system was designed and tested specifically for SPY and other intraday options trading, where: Delta is around 0.50 or higher Trades are short-lived (often 1–5 candles) You aim to trade 1–3 signals per day, filtering out weak entries 🚫 Important Notes It is not a scalping strategy; it relies on confirmed breakouts with trend support No pyramiding or re-entries without cooldown to preserve risk integrity Should be used with real-time alerts and manual broker execution 📈 Alerts Included 📈 Long Entry Signal 📉 Short Entry Signal ⚠️ Auto-closed all positions at 15:55 EST ✅ Proven Settings – Real Trades + Backtest Results The current version of the strategy includes the optimal settings I’ve arrived at through extensive backtesting, as well as 3 months of real trading with consistent profitability. These results reflect real-world execution under live market conditions using 0DTE SPY options, with disciplined trade management and risk control. 🧠 Final Thoughts Options Strategy V2.0 is a robust, highly tunable intraday strategy that blends momentum, trend-following, and volume confirmation. It is ideal for disciplined traders focused on SPY or other 0DTE/1DTE options, and it includes guardrails to reduce false signals and improve execution timing. Perfect for those who seek precision, flexibility, and risk-defined setups—not blind automation.

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oleh olaszvandor

EMA Package - Color Coded This is a package of up to 6 EMA's that change color with direction and include an neutral color for flat periods of consolidation. Easy and consise to use. One can set alerts for color/direction change and use in the creation of stratgies.

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Blended EMA (9 & 20)Shows EMA 9, EMA 20, and their blended average Toggle to hide/show the original EMAs Clean, easy to read — ideal for entry setups on lower timeframes

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ES Gap Trading Levels Improved closing time handling so that the gap is based on the last bar to capture the 3:59:59 closing price.

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oleh CeresTrader

EMA 10/20 Crossover Background This script works best on a weekly chart and it taints the background green if the EMA-10 is larger than EMA-20 (EMA lengths can be configured) and red otherwise. I use this script to immediately determine if a market is trending upwards or downwards.

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oleh brj_heumann_bh_jzbfqgha

Multi-Timeframe MA 200 Multi-Timeframe MA 200 This powerful tool plots the 200-period Moving Average across multiple timeframes (5m, 15m, 30m, 1h, 4h, Daily) directly on your active chart. You can switch between SMA (Simple Moving Average) and EMA (Exponential Moving Average) for all timeframes at once. Key features: ✅ 100% accurate calculation using the original timeframe ✅ Option to choose SMA or EMA ✅ Visual smoothing for cleaner display ✅ Floating labels showing the origin timeframe ✅ Clean interface – no clutter or legends ✅ Ideal for scalping, intraday, and swing traders Developed by BELOTTO TRADER, founder of the CLUBE DO GAIN – one of the most engaged trading communities in the Portuguese-speaking world.

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oleh belottotrader

Multi Averages - Customizable This script adds up to 5 moving averages to your plot! Both type and length are customizable.

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oleh sanvdeijzen

Multi EMA & SMA Indicator Draws EMA 5/20/50/100 and SMA 200 in different colors and thickness in a single indicator

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oleh serkandemir007

EMA 10,20 SMA 50, 200 This indicator is very helpful for swing traders who plan their trades using EMAs and SMAs. It is used on the daily chart and displays the 10- and 20-EMA, as well as the 50- and 200-SMA.

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Color Change EMA 200 (3 Min)- EMA 200 locked on 3 minute time frame - Color changes red when bearish, and green when bullish.

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oleh Rockit8888

VIX Filter/RSI/EMA Bias/Cum-TICK w/ Exhaustion Zone Dashboard This all-in-one dashboard gives intraday traders a real-time visual read of market conditions, combining volatility regime, trend bias, momentum exhaustion, and internal strength — all in a fully customizable overlay that won’t clutter your chart. 📉 VIX Market Regime Detector Identifies "Weak", "Normal", "Volatile", or "Danger" market states based on customizable VIX ranges and symbol (e.g., VXN or VIX). 📊 RSI Momentum Readout Displays real-time RSI from any selected timeframe or symbol, with adjustable length, OB/OS thresholds, and color-coded exhaustion alerts. 📈 EMA Trend Bias Scanner Compares fast and slow EMAs to define bullish or bearish bias, using your preferred timeframe, symbol, and EMA lengths — ideal for multi-timeframe setups. 🧠 Cumulative TICK Pressure & Exhaustion Engine Analyzes internal market strength using cumulative TICK data to classify conditions as: -Strong / Mild Bullish or Bearish Pressure -Choppy / No Edge -⚠️ Exhaustion Zones — when raw TICK values hit extreme highs/lows, a separate highlight box appears in the dashboard, warning of potential turning points All logic is customizable, including TICK symbol, timeframes, thresholds, and lookback periods. Scalpers and day traders who want fast, visual insight into market internals, exhaustion, and trend bias.

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Combo 2/20 EMA & Bandpass Filter by Tamarok Description: This strategy combines a 2/20 exponential moving average (EMA) crossover with a custom bandpass filter to generate buy and sell signals. Use the Fast EMA and Slow EMA inputs to adjust trend sensitivity, and the Bandpass Filter Length, Delta, and Zones to fine-tune momentum turns. Signals occur when both EMA and BPF agree in direction, with optional reversal and time filters. How to use: 1. Add the script to your chart in TradingView. 2. Adjust the EMA and BP Filter parameters to match your asset’s volatility. 3. Enable ‘Reverse Signals’ to trade counter-trend, or use the time filter to limit sessions. 4. Set alerts on Long Alert and Short Alert for automated notifications. Inspiration: Based on HPotter’s original combo strategy (Stocks & Commodities Mar 2010). Updated to Pine Script v6 with streamlined code and alerts. WARNING: For purpose educate only

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Adjustable Percentage Range Moving Average - Add'l Lines The Adjustable Percentage Range Moving Average (APRMA), originally developed by @ReallyWendy, is a versatile PineScript indicator designed for traders and market analysts to analyze market volatility and identify trends dynamically. Building on the original concept, this updated version plots a central moving average (MA) with four customizable percentage-based range bands around it. Users can select the MA type (SMA, EMA, HMA, RMA, SWMA, TMA, WMA, VWMA), timeframe, and length, tailoring the indicator to their trading style. Each range band (upper and lower) is calculated as a percentage offset from the MA, with adjustable colors and transparency settings for enhanced visual clarity. Extension lines project the latest values forward, with customizable styles (solid, dashed, dotted). The indicator includes toggleable display options for the MA and each range pair, making it an effective tool for identifying price ranges, support/resistance levels, and trend dynamics. Credit to @ReallyWendy for the foundational concept.

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oleh northfieldwhale

9:45am NIFTY TRADING Time Frame: 15 Minutes | Reference Candle Time: 9:45 AM IST | Valid Trading Window: 3 Hours 📌 Introduction This document outlines a structured trading strategy for NIFTY & BANKNIFTY Options based on a 15-minute timeframe with a 9:45 AM IST reference candle. The strategy incorporates technical indicators, probability analysis, and strict trading rules to optimize entries and exits. 📊 Core Features 1. Reference Time Trading System 9:45 AM IST Candle acts as the reference for the day. All signals (Buy/Sell/Reversal) are generated based on price action relative to this candle. The valid trading window is 3 hours after the reference candle. 2. Signal Generation Logic Signal Condition Buy (B) Price breaks above reference candle high with confirmation Sell (S) Price breaks below reference candle low with confirmation Reversal (R) Early trend reversal signal (requires strict confirmation) 3. Probability Analysis System The strategy calculates Win Probability (%) using 4 components: Component Weight Calculation Body Win Probability 30% Based on candle body strength (body % of total range) Volume Win Probability 30% Current volume vs. average volume strength Trend Win Probability 40% EMA crossover + RSI momentum alignment Composite Probability - Weighted average of all 3 components Probability Color Coding: 🟢 Green (High Probability): ≥70% 🟠 Orange (Medium Probability): 50-69% 🔴 Red (Low Probability): <50% 4. Timeframe Enforcement Strictly 15-minute charts only (no other timeframes allowed). System auto-disables signals if the wrong timeframe is selected. 📈 Technical Analysis Components 1. EMA System (Trend Analysis) Short EMA (9) – Fast trend indicator Middle EMA (20) – Intermediate trend Long EMA (50) – Long-term trend confirmation Rules: Buy Signal: Price > 9 EMA > 20 EMA > 50 EMA (Bullish trend) Sell Signal: Price < 9 EMA < 20 EMA < 50 EMA (Bearish trend) 2. Multi-Timeframe RSI (Momentum) 5M, 15M, 1H, 4H, Daily RSI values are compared for divergence/confluence. Overbought (≥70) / Oversold (≤30) conditions help in reversal signals. 3. Volume Analysis Volume Strength (%) = (Current Volume / Avg. Volume) × 100 Strong Volume (>120% Avg.) confirms breakout/breakdown. 4. Body Percentage (Candle Strength) Body % = (Close - Open) / (High - Low) × 100 Strong Bullish Candle: Body > 60% Strong Bearish Candle: Body < 40% 📊 Visual Elements 1. Information Tables Reference Data Table (9:45 AM Candle High/Low/Close) RSI Values Table (5M, 15M, 1H, 4H, Daily) Signal Legend (Buy/Sell/Reversal indicators) 2. Chart Overlays Reference Lines (9:45 AM High & Low) EMA Lines (9, 20, 50) Signal Labels (B, S, R) 3. Color Coding High Probability (Green) Medium Probability (Orange) Low Probability (Red) ⚠️ Important Usage Guidelines ✅ Best Practices: Trade only within the 3-hour window (9:45 AM - 12:45 PM IST). Wait for confirmation (closing above/below reference candle). Use probability score to filter high-confidence trades. ❌ Avoid: Trading outside the 15-minute timeframe. Ignoring volume & RSI divergence. Overtrading – Stick to 1-2 high-probability setups per day. 🎯 Conclusion This NIFTY Trading Strategy is optimized for 15-minute charts with a 9:45 AM IST reference candle. It combines EMA trends, RSI momentum, volume analysis, and probability scoring to generate high-confidence signals. 🚀 Key Takeaways: ✔ Reference candle defines the day’s bias. ✔ Probability system filters best trades. ✔ Strict 15M timeframe ensures consistency. Happy Trading! 📈💰

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[LeonidasCrypto]EMA with Volatility Glow EMA Volatility Glow - Advanced Moving Average with Dynamic Volatility Visualization Overview The EMA Volatility Glow indicator combines dual exponential moving averages with a sophisticated volatility measurement system, enhanced by dynamic visual effects that respond to real-time market conditions. Technical Components Volatility Calculation Engine BB Volatility Curve: Utilizes Bollinger Band width normalized through RSI smoothing Multi-stage Noise Filtering: 3-layer exponential smoothing algorithm reduces market noise Rate of Change Analysis: Dual-timeframe RoC calculation (14/11 periods) processed through weighted moving average Dynamic Normalization: 100-period lookback for relative volatility assessment Moving Average System Primary EMA: Default 55-period exponential moving average with volatility-responsive coloring Secondary EMA: Default 100-period exponential moving average for trend confirmation Trend Analysis: Real-time bullish/bearish determination based on EMA crossover dynamics Visual Enhancement Framework Gradient Band System: Multi-layer volatility bands using Fibonacci ratios (0.236, 0.382, 0.618) Dynamic Color Mapping: Five-tier color system reflecting volatility intensity levels Configurable Glow Effects: Customizable transparency and intensity settings Trend Fill Visualization: Directional bias indication between moving averages Key Features Volatility States: Ultra-Low: Minimal market movement periods Low: Reduced volatility environments Medium: Normal market conditions High: Increased volatility phases Extreme: Exceptional market stress periods Customization Options: Adjustable EMA periods Configurable glow intensity (1-10 levels) Variable transparency controls Toggleable visual components Customizable gradient band width Technical Calculations: ATR-based gradient bands with noise filtering ChartPrime-inspired multi-layer fill system Real-time volatility curve computation Smooth color gradient transitions Applications Trend Identification: Dual EMA system for directional bias assessment Volatility Analysis: Real-time market stress evaluation Risk Management: Visual volatility cues for position sizing decisions Market Timing: Enhanced visual feedback for entry/exit consideration

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oleh LeonidasCrypto

EMA+ATR Band MTF Trend Entry This is a Multi-Timeframe Trend Trading indicator strategy adapted from Sahil Rohmehtra’s Mentorship programme. The trading decision is made by first accessing the trend in higher timeframe (say Monthly) by using TWO EMAs. If the faster EMA (say 20 period) is above Slower EMA (say 50 period) and the price is above slower EMA then the trend is suitable for buyers. Similarly if faster EMA is below slow EMA and the price is below that then trend is suitable for sellers. Once we access the trend in the higher timeframe we move to the lower timeframe (say Weekly) and access the 5-period RSI value. If RSI is below 30 then we can prepare for possible buy entry in lower (Daily) timeframe if entry conditions are met in daily timeframe. Similarly sell bias can be initiated when the higher timeframe EMA trend is down, daily RSI is above 70 and sell entry condition is met in daily timeframe. The RSI thresholds can be changed by the user. Once we identified the RSI bias then wait for the confirmation candle in the lower timeframe (say 1 hour). In the entry timeframe we plot a band of 20 EMA of LOWs ± 1 ATR lines. Here,we wait for a candle to close above the 20 EMA of LOWs + 1 ATR for a buy signal with an increase in On Balance Volume (OBV) value. Similarly for sell signal we should get a candle close below the 20 EMA of LOWs - 1 ATR with corresponding change in OBV. This candle is the signal candle. Once we get a Buy or Sell signal the corresponding stop loss is the nearest LOW - 1 ATR or HIGH + 1 ATR. The ATR scaling may be changed by the user. Now if another candle closes above the high of the buy signal candle then enter on buy. If the low of the buy signal candle is broken then it is a potential short-term sell entry. Similarly if another candle closes below the sell signal candle then enter short and if there is a close above high of the signal candle then it is a potential buy entry.

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oleh librantrader

EMA Grid + Martingale Strategy (Long-Only) with Cooldown Title: EMA Grid + Martingale Strategy (Long-Only) with Cooldown Short Summary: A long-only strategy combining EMA trend filters, grid-based entries, optional martingale sizing, and a cooldown feature to manage position timing and exits. Full Description: This strategy uses a 4-EMA trend confirmation system to detect bullish momentum, then deploys a grid-style entry method with optional martingale position sizing. It includes a cooldown mechanism to prevent reentry too soon after a completed trade cycle. How It Works 1. Trend Confirmation: Two EMA groups (fast/slow) determine whether market conditions are bullish. 2. Initial Entry: A new position is entered when both EMA groups confirm an uptrend and no position is currently active. 3. Grid Entries: Additional long entries are placed when price drops by a defined pip distance from the last entry, respecting the maximum number of entries. 4. Martingale Sizing (Optional): Grid orders can increase in size with each level using a customizable multiplier. 5. Weighted-Average Exit: All positions close once price reaches or exceeds the average entry price plus a buffer. 6. Cooldown Timer: After closing a position set, the strategy waits a defined number of bars before opening a new grid. Key Features • 4 customizable EMAs for trend confirmation. • Dynamic grid-style long entries based on pip intervals. • Optional martingale-style position sizing. • Weighted-average price exit logic with buffer control. • Cooldown bar period to limit overtrading. • Suitable for optimization and backtesting with full control over inputs. Use Cases • Designed for trending markets where pullbacks present entry opportunities. • Helps manage staged entries while avoiding premature reentry. • Ideal for testing martingale and grid-based strategies with exit precision. Note: This strategy is for testing and educational purposes only. It does not guarantee profits and is not financial advice.

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filter duplicate buy sell short cover signals[VP]I was looking for an indicator that would filter signals but could only find solutions for a buy/sell system. I couldn't locate one that dealt with buy/sell AND short/cover. The indicator expands the idea from the link: stackoverflow.com

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EMA Grid + Martingale Indicator (Long-Only)Title: EMA Grid + Martingale Indicator (Long-Only) Short Summary: A 4-EMA trend filter combined with a grid-based entry system and optional martingale sizing to visualize staged long entries and exits in bullish markets. Full Description: This indicator combines a 4-EMA trend filter with a grid-based entry system and optional martingale-style position sizing to help traders visualize staged long entries and exits in trending markets. How It Works 1. Trend Detection: Uses two sets of EMAs (fast/slow pairs) to confirm bullish momentum. A long signal is generated when both EMA groups align in an uptrend. 2. Grid Entries: After the initial long entry, additional grid levels are triggered every time price drops by the specified grid step (in pips). 3. Martingale Sizing (Optional): Each subsequent entry can increase in size based on the defined martingale factor. 4. Weighted-Average Exit: Calculates the weighted average of all grid entries and signals an exit when the price reaches or surpasses this level plus an optional buffer. Key Features • 4 EMA Trend Filter with fully customizable lengths. • Dynamic grid entries with visual labels (L1, L2, etc.). • Optional martingale position sizing. • Weighted-average exit with adjustable buffer. • Customizable parameters for EMAs, grid steps, max entries, and buffer pips. • Clear chart visualization of EMAs and entry/exit levels. Use Cases • For traders using cost-averaging or grid strategies in bullish markets. • Visualizes multiple entry levels and profit targets. • Useful for backtesting and strategy planning. Note: This indicator is for visualization and planning purposes only. It does not execute trades automatically. It does not guarantee profits and is not financial advice.

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OB/OS adaptative v1.1 # OB/OS Adaptative v1.1 - Multi-Timeframe Adaptive Overbought/Oversold Indicator ## Overview The `tradingview_indicator_emas.pine` script is a sophisticated multi-timeframe indicator designed to identify dynamic overbought and oversold levels in financial markets. It combines EMA (Exponential Moving Average) crossovers and Bollinger Bands across monthly, weekly, and daily timeframes to create adaptive support and resistance levels that adjust to changing market conditions. ## Core Functionality ### Multi-Timeframe Analysis The indicator analyzes three timeframes simultaneously: - **Monthly (M)**: Long-term trend identification - **Weekly (W)**: Intermediate-term trend identification - **Daily (D)**: Short-term volatility measurement ### Technical Indicators Used - **EMA 9 and EMA 20**: For trend identification and momentum assessment - **Bollinger Bands (20-period)**: For volatility measurement and extreme level identification - **Price action**: For confirmation of level validity and signal generation ## Key Features ### Adaptive Level Calculation The indicator dynamically determines overbought and oversold levels based on market structure and trend bias: #### Monthly Level Logic - **Bullish Bias** (when monthly open > EMA20): - Oversold = lower of EMA9 or EMA20 - Overbought = upper of EMA9 or Bollinger Upper Band - **Bearish/Neutral Bias** (when monthly open ≤ EMA20): - Oversold = Bollinger Lower Band - Overbought = upper of EMA20 or EMA9 #### Weekly Level Logic - **Bullish Bias** (when weekly open > EMA20): - Oversold = lower of EMA9 or EMA20 - Overbought = Bollinger Upper Band - **Bearish/Neutral Bias** (when weekly open ≤ EMA20): - Oversold = Bollinger Lower Band - Overbought = upper of EMA20 or EMA9 #### Daily Level Logic - Simple Bollinger Bands: - Oversold = Bollinger Lower Band - Overbought = Bollinger Upper Band ### Final Level Determination The indicator combines all three timeframes through a weighted averaging process: 1. Calculates initial values as the average of monthly, weekly, and daily levels 2. Ensures mathematical consistency by enforcing overbought_final ≥ oversold_final using min/max functions 3. Calculates a midpoint average level as the center of the range ### Visual Elements - **Dynamic Lines**: Draws horizontal lines for current and previous period overbought, oversold, and average levels - **Labels**: Places clear textual labels at the start of each period - **Color Coding**: - Red for overbought levels (resistance) - Green for oversold levels (support) - Blue for average levels (pivot point) - **Transparency**: Previous period lines use semi-transparent colors to distinguish between current and historical levels ### Update Mechanism - **Calculation Day**: User-defined day of the week (default: Monday) - On the specified calculation day, the indicator: - Updates all levels based on previous bar's data - Draws new lines extending forward for a user-defined number of days - Maintains previous period lines for comparison and trend analysis - Automatically deletes and recreates lines to ensure clean visualization ### Proximity Detection - Alerts when price approaches overbought/oversold levels (configurable distance in percentage) - Helps identify potential reversal zones before actual crossovers occur - Distance thresholds are user-configurable for both overbought and oversold conditions ### Alert Conditions The indicator provides four distinct alert types: 1. **Cross below oversold**: Triggered when price crosses below the oversold level 2. **Cross above overbought**: Triggered when price crosses above the overbought level 3. **Near oversold**: Triggered when price approaches the oversold level within the configured distance 4. **Near overbought**: Triggered when price approaches the overbought level within the configured distance ### Debug Mode When enabled, displays comprehensive debug information including: - Current values for all levels (oversold, overbought, average) - Timeframe-specific calculations and raw data points - System status information (current day, calculation day, etc.) - Lines existence and timing information - Organized in multiple labels at different price levels to avoid overlap ## Configuration Parameters | Parameter | Default Value | Description | |---------|---------------|-------------| | Short EMA (9) | 9 | Length for short-term EMA calculation | | Long EMA (20) | 20 | Length for long-term EMA calculation | | BB Length | 20 | Period for Bollinger Bands calculation | | Std Dev | 2.0 | Standard deviation multiplier for Bollinger Bands | | Distance to overbought (%) | 0.5 | Percentage threshold for "near overbought" alerts | | Distance to oversold (%) | 0.5 | Percentage threshold for "near oversold" alerts | | Calculation day | Monday | Day of week when levels are recalculated | | Lookback days | 7 | Number of days to extend previous period lines backward | | Forward days | 7 | Number of days to extend current period lines forward | | Show Debug Labels | false | Toggle for comprehensive debug information display | ## Trading Applications ### Primary Use Cases 1. **Reversal Trading**: Identify potential reversal zones when price approaches overbought/oversold levels 2. **Trend Confirmation**: Use the adaptive nature of levels to confirm trend strength and direction 3. **Position Sizing**: Adjust position size based on distance from key levels 4. **Stop Placement**: Use opposite levels as dynamic stop-loss references ### Strategic Advantages - **Adaptive Nature**: Levels adjust to changing market volatility and trend structure - **Multi-Timeframe Confirmation**: Signals are validated across multiple timeframes - **Visual Clarity**: Clear color-coded lines and labels enhance decision-making - **Proactive Alerts**: "Near" conditions provide early warnings before crossovers ## Implementation Details ### Data Security Uses `request.security()` function to fetch data from higher timeframes (monthly, weekly) while maintaining proper bar indexing with ` ` offset for open prices. ### Performance Optimization - Uses `var` keyword to declare persistent variables that maintain state across bars - Efficient line and label management with proper deletion before recreation - Conditional execution of debug code to minimize performance impact ### Error Handling - Comprehensive NA (not available) checks throughout the code - Graceful degradation when data is unavailable for higher timeframes - Mathematical safeguards to prevent invalid level calculations ## Conclusion The OB/OS Adaptative v1.1 indicator represents a sophisticated approach to identifying market extremes by combining multiple technical analysis concepts. Its adaptive nature makes it particularly useful in trending markets where static levels may be less effective. The multi-timeframe approach provides a comprehensive view of market structure, while the visual elements and alert system enhance its practical utility for active traders.

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oleh leandro_padula

Moving Average Exponential (Daily Frozen EMA)This script plots an Exponential Moving Average (EMA) based on the daily timeframe, but with a unique twist: ✅ The EMA value is frozen for the entire current daily session, only updating when a new daily candle begins. 🔍 How it works: The EMA is calculated using the 1-day timeframe, regardless of the chart's current timeframe. This EMA value remains fixed throughout the day — it doesn't fluctuate intrabar. It updates only once the daily candle has closed, providing a stable and reliable reference point during the trading day. The default is the 5 day EMA but can be changed to any EMA timeframe you desire such as 9, 21, 50, 100. 200, etc. ✨ Additional Features: ✅ Optional smoothing with various moving average types (SMA, EMA, WMA, SMMA, VWMA). ✅ Optional Bollinger Bands on top of the smoothed EMA. ✅ Adjustable settings for EMA length, smoothing type, Bollinger Band deviation, and display options. 🛠️ Use Cases: Ideal for traders who want a non-reactive EMA during intraday trading. Helps reduce signal noise by anchoring EMA to higher timeframe structure. Useful for strategy development where EMA should represent confirmed daily bias only. Hope this helps, happy trading!

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oleh Equanimity_raven

Refined MA + Engulfing (M5 + Confirmed Structure Break)I would like to start by saying that this strategy was put together using ChatGPT, some past trades from myself and some backtested trades, and from my time as a student in Wallstreet Academy under Cue Banks. I am not profitable yet. I am too jumpy and blow accounts. I'm hoping this strategy (and it's indicator twin) can help me spend less time on the charts, so that I'm not tempted to press buttons as much. It does fire quite a bit. But, the Strategy Tester tab shows a 30% win rate with our wins being significant to our losses. So, in theory, if you followed the rules of this strategy STRICTLY, you COULD BE profitable. With that being said, there are times that this strategy has shown to trigger and I ask, "Why?". I just want to help myself and others, and maybe make some decent\cool stuff along the way. Enjoy KR

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EMA 8/21/50 + VWAP Crossover Alert Indicator Overview of the Indicator This is a custom Pine Script v5 indicator for TradingView titled "EMA 8/21/50 + VWAP Crossover Alert Indicator" (short title: "EMA+VWAP Cross Alert"). It's designed as an overlay indicator, meaning it plots directly on your price chart rather than in a separate pane. The primary purpose is to detect and alert on crossovers between the 8-period Exponential Moving Average (EMA) and the 21-period EMA, which can signal potential bullish or bearish momentum shifts. These are classic short-term trend reversal or continuation signals often used in trading strategies like momentum or swing trading. To enhance analysis, it also includes: A 50-period EMA for medium-term trend context (e.g., to confirm if the overall trend aligns with the crossover). A Volume Weighted Average Price (VWAP) line, which provides a benchmark for the average price weighted by volume, useful for identifying intraday value areas or fair price levels. The indicator works across all timeframes (e.g., Daily, 4H, 1H, 15M, 5M, 3M) because the calculations are based on the chart's current bars and adapt to volatility and data resolution. It's not a trading strategy (no entry/exit logic or backtesting), but an alert tool—signals are visual and can trigger notifications in TradingView. Always combine it with risk management, as crossovers can produce false signals in ranging or choppy markets.

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