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NAIFCHART_Osc+ ST+sqzmom# NAIFCHART Multi-Component Indicator: Trading Analysis Guide ## Overview The NAIFCHART Osc+ ST+sqzmom indicator combines three proven technical analysis tools into a unified trading system. This indicator was developed and shared by the trading community at t.me providing traders with comprehensive market analysis through integrated momentum, trend, and volatility assessment. ## Core Components **Wave Trend Oscillator**: Identifies overbought and oversold conditions using exponential moving averages. Key levels include overbought zones at 60 and 53, with oversold areas at -60 and -53. Crossover signals between the two oscillator lines generate entry opportunities, displayed as colored circles on the chart. **Supertrend Indicator**: Determines market direction using Average True Range calculations with a 2.5 factor and 10-period ATR. Green lines indicate uptrends while red lines signal downtrends. The indicator adapts to market volatility, providing reliable trend identification across different market conditions. **Squeeze Momentum**: Compares Bollinger Bands with Keltner Channels to identify consolidation periods and breakouts. Black squares indicate squeeze conditions (low volatility), green triangles signal upward breakouts, and red triangles mark downward breakouts. ## Trading Signals **Long Entry Signals**: Green triangles from Squeeze Momentum, Supertrend line turning green, and bullish crossovers in Wave Trend Oscillator from oversold levels. **Short Entry Signals**: Red triangles from Squeeze Momentum, Supertrend line turning red, and bearish crossovers in Wave Trend Oscillator from overbought levels. ## Risk Management Features The indicator automatically calculates risk management levels using ATR-based calculations. Stop losses are positioned at 3x ATR distance, while three progressive take profit targets are set at 1x, 2x, and 3x ATR multiples. All levels are clearly displayed on the chart with colored lines and labels. When trend direction changes, previous levels are automatically cleared and new calculations are generated, ensuring current market conditions are reflected in all risk parameters. ## Alert System Comprehensive alerts include trend changes with complete trade setup details, squeeze release notifications for breakout opportunities, and trend weakness warnings for position management. Alert messages contain trading pair information, timeframe data, and all relevant entry and exit levels. ## Implementation Guidelines **Timeframe Selection**: Higher timeframes (4-hour, daily) provide reliable signals for position trading. One-hour charts work well for day trading, while 15-30 minute timeframes enable scalping with enhanced risk management requirements. **Risk Management**: Limit risk to 1-2% of capital per trade using the calculated stop loss levels for position sizing. Implement partial profit-taking at each target level while adjusting stops to protect gains. **Market Adaptation**: The indicator's ATR-based calculations automatically adjust to market volatility. During high volatility periods, levels widen appropriately, while low volatility conditions result in tighter risk management parameters. ## Best Practices Combine indicator signals with key support and resistance analysis for enhanced validation. Monitor volume to confirm breakout strength, particularly when Squeeze Momentum signals develop. Maintain awareness of economic events that may influence market behavior independent of technical signals. The multi-component design provides internal confirmation through multiple signal alignment requirements, reducing false signals while maintaining reasonable trade frequency for active strategies. ## Community Resources Access ongoing education and strategy discussions through the source community at t.me where traders share market analysis and optimization techniques for this indicator system. ## Conclusion The NAIFCHART indicator offers a systematic approach to market analysis through proven technical components. Success requires understanding each element's functionality and implementing proper risk management principles. The community-driven development ensures practical relevance and ongoing support for traders seeking comprehensive market analysis tools. Practice with demo accounts before live implementation to develop familiarity with signal interpretation and trade management procedures. The indicator's systematic approach reduces emotional decision-making while providing clear guidelines for entry, management, and exit strategies across various market conditions.
Pine Script® indicator
by Mutanabby_AI
2
COT Comm OsciDescription The COT Comm Osci is a sentiment oscillator based on net positions from the weekly Commitments of Traders (COT) report. It transforms net positions of Commercials, Noncommercials, or Nonreportables into a 0–100 index. A value of 100 = highest net position within the selected timeframe. A value of 0 = lowest net position. You can define three historical intervals (e.g. 26/ 52 / 156 weeks). Tip To improve your analysis, it's recommended to add a separate COT indicator that visualizes raw Long/Short or net positions directly. This helps interpret the oscillator in context. This script is based on “Commercial Index–Buschi” by MagicEins and has been extended with new features and error handling. Features Select between Commercial, Noncommercial, or Nonreportable trader groups Proper handling of HG Futures (Copper) Displays a warning if the root code is invalid (unsupported market symbol)
Pine Script® indicator
by gondatom
Zig Zag with HHLLThis powerful tool calculates and displays two Zig Zag patterns simultaneously while dynamically identifying key market structure points—Higher Highs (HH), Lower Lows (LL), Higher Lows (HL), and Lower Highs (LH). Because the script is dynamic, the most recent HH, HL, LL, or LH can update in real-time as price action evolves. For example, if the price continues to rise, a previously marked HL may be reclassified as an LL. Likewise, a falling LH may later turn into a HH if the market reverses. This script is versatile and can be applied to various trading strategies, including trend analysis, support and resistance identification, breakout setups, and more. Added a new input parameter decimals that allows you to control the decimal precision: Set to -1 (default) for automatic detection based on the symbol's minimum tick size Set to 0-8 for a specific number of decimal places. How it works: Auto mode (decimals = -1): The script automatically determines how many decimal places to show based on the instrument's minimum tick size. For example: Forex pairs (0.00001) → 5 decimals Stocks ($0.01) → 2 decimals Crypto (0.00000001) → 8 decimals Manual mode (decimals = 0-8): You can force a specific number of decimal places if needed
Pine Script® indicator
by greatwhite
1
6FG Plan Checklist & Alerts - Final Version🧠 SCRIPT OVERVIEW: "6FG A+ SETUP - Simplified" This script is designed to identify high-probability A+ trade setups in alignment with your personal 6FG trading plan, based on: H1 Break of Structure (required) 4H trend confirmation 15M candle confirmation Session filter A+ Label & Visual Table Checklist ✅ KEY COMPONENTS 1. Toggle Inputs These allow you to customize your view and filters without changing the code: showSession: Only allow alerts inside Asian or NY sessions show4hTrend: Include or ignore 4H directional bias show15mConfirm: Include or ignore confirmation from 15M candles showTable: Display checklist table on chart showLabel: Display the “✅ A+” label on qualifying bars 2. Session Filter Defines valid timeframes for trading (Asian or New York) Helps avoid setups during low-liquidity hours Controlled by showSession 3. 4H Trend (Confirmation Only) Uses a 20-period SMA on 4H to detect general bias: Bullish = Price above SMA Bearish = Price below SMA This trend is not mandatory for an alert if toggle is off 4. H1 Break of Structure (REQUIRED) Looks at the highest high and lowest low of the last 10 candles on the 1H timeframe Detects either: Bullish BOS = Current close > highest high Bearish BOS = Current close < lowest low This is the core trigger for the A+ setup If BOS doesn't happen, no entry is valid 5. 15M Confirmation Candles (Optional - controlled by show15mConfirm) Checks for one of three confirmation patterns: Bullish Engulfing Bearish Engulfing Pin Bar This adds confidence but can be toggled off 6. Entry Conditions (A+ Setup) All the following must be true for entryOK = true: ✅ H1 BOS (required) ✅ Session is valid (if toggle is on) ✅ 15M confirmation pattern (if toggle is on) ✅ 4H trend (if toggle is on) 7. Visual Output If entryOK = true: ✅ A green "A+" label appears below price ✅ A checklist table on the top-right shows: Session status ✔️❌ 4H bullish/bearish ✔️❌ H1 BOS ✔️❌ 15M confirmation ✔️❌ Final Direction: Bullish / Bearish / — A+ Setup: ✔️❌ 8. Alerts You will receive a TradingView alert when an A+ Setup is detected:
Pine Script® indicator
by bookingyeotti
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.
Pine Script® indicator
by leandro_padula
Hawkes Volatility Exit IndicatorOverview The Hawkes Volatility Exit Indicator is a powerful tool designed to help traders capitalize on volatility breakouts and exit positions when momentum fades. Built on the Hawkes process, it models volatility clustering to identify optimal entry points after quiet periods and exit signals during volatility cooling. Designed to be helpful for swing traders and trend followers across markets like stocks, forex, and crypto. Key Features Volatility-Based Entries: Detects breakouts when volatility spikes above the 95th percentile (adjustable) after quiet periods (below 5th percentile). This indicator is probably better on exits than entries. Smart Exit Signals: Triggers exits when volatility drops below a customizable threshold (default: 30th percentile) after a minimum hold period. Hawkes Process: Uses a decay-based model (kappa) to capture volatility clustering, making it responsive to market dynamics. Visual Clarity: Includes a volatility line, exit threshold, percentile bands, and intuitive markers (triangles for entries, X for exits). Status Table: Displays real-time data on position (LONG/SHORT/FLAT), volatility regime (HIGH/LOW/NORMAL), bars held, and exit readiness. Customizable Alerts: Set alerts for breakouts and exits to stay on top of trading opportunities. How It Works Quiet Periods: Identifies low volatility (below 5th percentile) that often precede significant moves. Breakout Entries: Signals bullish (triangle up) or bearish (triangle down) entries when volatility spikes post-quiet period. Exit Signals: Suggests exiting when volatility cools below the exit threshold after a minimum hold (default: 3 bars). Visuals & Table: Tracks volatility, position status, and signals via lines, shaded zones, and a detailed status table. Settings Hawkes Kappa (0.1): Adjusts volatility decay (lower = smoother, higher = more sensitive). Volatility Lookback (168): Sets the period for percentile calculations. ATR Periods (14): Normalizes volatility using Average True Range. Breakout Threshold (95%): Volatility percentile for entries. Exit Threshold (30%): Volatility percentile for exits. Quiet Threshold (5%): Defines quiet periods. Minimum Hold Bars (3): Ensures positions are held before exiting. Alerts: Enable/disable breakout and exit alerts. How to Use Entries: Look for triangle markers (up for long, down for short) and confirm with the status table showing "ENTRY" and "LONG"/"SHORT." Exits: Exit on X cross markers when the status table shows "EXIT" and "Exit Ready: YES." Monitoring: Use the status table to track position, bars held, and volatility regime (HIGH/LOW/NORMAL). Combine: Pair with price action, support/resistance, or other indicators for better context. Tips : Adjust thresholds for your market: lower breakout thresholds for more signals, higher exit thresholds for earlier exits. Test on your asset to ensure compatibility (best for markets with volatility clustering). Use alerts to automate signal detection. Limitations Requires sufficient data (default: 168 bars) for reliable signals. Check "Data Status" in the table. Focuses on volatility, not price direction—combine with trend tools. May lag slightly due to the smoothing nature of the Hawkes process. Why Use It? The Hawkes Volatility Exit Indicator offers a unique, data-driven approach to timing trades based on volatility dynamics. Its clear visuals, customizable settings, and real-time status table make it a valuable addition to any trader’s toolkit. Try it to catch breakouts and exit with precision! This indicator is based on neurotrader888's python repo. All credit to him. All mistakes mine. This conversion published for wider attention to the Hawkes method.
Pine Script® indicator
by bearbearbull23
Fibonacci Range Detector ║ BullVision🔬 Overview The Fibonacci Range Mapper is a dynamic technical tool designed to identify, track, and visualize price ranges using Fibonacci levels. Whether you're trading manually or prefer automated structure recognition, this indicator helps you contextualize market moves and locate key price zones with precision. ⚙️ Core Logic 🔍 Range Detection (Auto & Manual Modes) In Auto mode, the indicator uses an advanced ZigZag system based on ATR or percentage thresholds to confirm market swings and construct Fibonacci-based ranges. In Manual mode, traders can define their own swing low and high to generate precise custom ranges. 📐 Fibonacci Mapping Each detected range is automatically plotted with key Fibonacci retracement levels — 0%, 25%, 50%, 75%, 100% — along with optional extensions (127.2% and 161.8%) to anticipate price continuations or reversals. 📋 Live Data Table An integrated info panel dynamically displays crucial metrics: • Range size • Current price zone (Discount / Mid / Premium) • Position within range (%) • Distance to range extremes • Range status (Pending or Confirmed) 🕰️ Historical Memory Up to 20 past ranges can be stored and visualized simultaneously, helping traders recognize repeated price behaviors and contextual support/resistance levels. 🎨 Visual Highlights Zones of interest (0–25% = Discount, 75–100% = Premium) are color-coded with custom transparency, and labels can be toggled for clarity. The current active range updates in real time as structure evolves. 🔧 User Customization • Detection Method: Choose between ATR or % ZigZag for automated swing identification • Confirmation Delay: Set how many bars to wait before confirming a new high • Manual Overrides: Select exact price levels when you want full control • Extensions & Labels: Toggle additional lines and info to suit your charting style • Visual Table Position: Customize where the data table appears on screen • Color Scheme: Define your own zone gradients for better visual interpretation 📈 Use Cases This indicator is ideal for traders who want to: • Identify value zones within local or macro price structures • Plan trades around Fibonacci retracement and extension levels • Detect shifts in market structure using an adaptive ZigZag logic • Track recurring price ranges and historical reaction points • Enhance technical confluence with clean, visual price mapping ⚠️ Important Notes This tool is not a buy/sell signal generator — it is a visual framework for structure-based analysis. Use it in conjunction with your existing strategy and risk management process. Always confirm with broader context and multi-timeframe alignment.
Pine Script® indicator
by BullVisionCapital
Hypothesis TF Strategy EvaluationThis script provides a statistical evaluation framework for trend-following strategies by examining whether mean returns (measured here as 1-period Rate of Change, ROC) differ significantly across different price quantile groups. Specifically, it: Calculates rolling 25th (Q1) and 75th (Q3) percentile levels of price over a user-defined window. Classifies returns into three groups based on whether price is above Q3, between Q1 and Q3, or below Q1. Computes mean returns and sample sizes for each group. Performs Welch's t-tests (which account for unequal variances) between groups to assess if their mean returns differ significantly. Displays results in two tables: Summary Table: Shows mean ROC and number of observations for each group. Hypothesis Testing Table: Shows pairwise t-statistics with significance stars for 95% and 99% confidence levels. Key Features Rolling quantile calculations: Captures local price distributions dynamically. Robust hypothesis testing: Welch's t-test allows for heteroskedasticity between groups. Significance indicators: Easy visual interpretation with "*" (95%) and "**" (99%) significance levels. Visual aids: Plots Q1 and Q3 levels on the price chart for intuitive understanding. Extensible and transparent: Fully commented code that emphasizes the evaluation process rather than trading signals. Important Notes Not a trading strategy: This script is intended as a tool for research and validation, not as a standalone trading system. Look-ahead bias caution: The calculation carefully avoids look-ahead bias by computing quantiles and ROC values only on past data at each point. Users must ensure look-ahead bias is removed when applying this or similar methods, as look-ahead bias would artificially inflate performance and statistical significance. The statistical tests rely on the assumption of independent samples, which might not fully hold in financial time series but still provide useful insights Usage Suggestions Use this evaluation framework to validate hypotheses about the behavior of returns under different price regimes. Integrate with your strategy development workflow to test whether certain market conditions produce statistically distinct return distributions. Example In this example, the script was run with a quantile length of 20 bars and a lookback of 500 bars for ROC classification. We consider a simple hypothetical "strategy": Go long if the previous bar closed above Q3 the 75th percentile). Go short if the previous bar closed below Q1 (the 25th percentile). Stay in cash if the previous close was between Q1 and Q3. The screenshot below demonstrates the results of this evaluation. Surprisingly, the "long" group shows a negative average return, while the "short" group has a positive average return, indicating mean reversion rather than trend following. The hypothesis testing table confirms that the only statistically significant difference (at 95% or higher confidence) is between the above Q3 and below Q1 groups, suggesting a meaningful divergence in their return behavior. This highlights how this framework can help validate or challenge intuitive assumptions about strategy performance through rigorous statistical testing.
Pine Script® indicator
by InvestorUnknown
IV PercentileIV Percentile Indicator - Brief Description What It Does The IV Percentile Indicator measures where current implied volatility ranks compared to the past year, showing what percentage of time volatility was lower than today's level. How It Works Data Collection: Tracks implied volatility (or historical volatility as proxy) for each trading day Stores the last 252 days (1 year) of volatility readings Uses VIX data for SPY/SPX, historical volatility for other stocks Calculation: IV Percentile = (Days with IV below current level) ÷ (Total days) × 100 Example: If IV Percentile = 75%, it means current volatility is higher than 75% of the past year's readings. Visual Output Main Display: Blue line showing percentile (0-100%) Reference lines at key levels (20%, 30%, 50%, 70%, 80%) Color-coded backgrounds for quick identification Info table with current readings Key Levels: 80%+ (Red): Very high IV → Sell premium 70-79% (Orange): High IV → Consider selling 30-20% (Green): Low IV → Consider buying <20% (Bright Green): Very low IV → Buy premium Trading Application When IV Percentile is HIGH (70%+): Options are expensive relative to recent history Good time to sell premium (iron condors, credit spreads) Expect volatility to decrease toward normal levels When IV Percentile is LOW (30%-): Options are cheap relative to recent history Good time to buy premium (straddles, long options) Expect volatility to increase from compressed levels Core Logic The indicator helps answer: "Is this a good time to buy or sell options based on how expensive/cheap they are compared to recent history?" It removes the guesswork from volatility timing by providing historical context for current option prices.
Pine Script® indicator
by LAFgottatrade
Current Hourly Open Liquidity with Sweep DetectionStatistics indicate that if the current hourly candle reaches the high or low of the previous hourly candle, there is a strong likelihood that the price will return to the current hour's open, depending on how quickly the previous hour's high or low was swept. If the sweep occurs within the first 20 minutes, there is a 75% chance the current hour's open will be reached; if it takes between 21 and 40 minutes, the probability decreases to 50%; and if it takes longer than 41 minutes, the chance drops to 25%. These statistics can help identify manipulation on the hourly timeframe and guide trade decisions accordingly. For instance, if the previous hourly high is taken within the first 20 minutes but the current hour's open is not reached, it may be wise to avoid long positions until it happens or consider short positions in the direction of the open liquidity, using your existing entry rules and risk management. The indicator highlights the current hour's open with a line and label to visually represent that liquidity pool, adjusting the line's color based on whether and when the previous hour's high or low was tapped. Once the open is reached, the indicator can, depending on settings, remove the line and label from the chart (this is enabled by default) since the liquidity pool is no longer relevant, preventing chart clutter. All colors, line widths, label text sizes, and colors can be customized.
Pine Script® indicator
by outofoptions
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!
Pine Script® indicator
by Equanimity_raven
Cassures Tokyo pendant New York//@version=5 indicator("Cassures Tokyo pendant New York", overlay=true) // Paramètres de sessions // Début et fin de Tokyo (00h00 - 08h00 GMT) tokyo_start = timestamp("GMT+0", year(timenow), month(timenow), dayofmonth(timenow), 0, 0) tokyo_end = timestamp("GMT+0", year(timenow), month(timenow), dayofmonth(timenow), 8, 0) // Début et fin de New York (13h30 - 22h00 GMT) ny_start = timestamp("GMT+0", year(timenow), month(timenow), dayofmonth(timenow), 13, 30) ny_end = timestamp("GMT+0", year(timenow), month(timenow), dayofmonth(timenow), 22, 0) // Initialisation des variables persistantes var float tokyo_high = na var float tokyo_low = na var bool ny_started = false var bool high_broken = false var bool low_broken = false // Reset des valeurs à chaque nouvelle journée if (time >= tokyo_start and time < tokyo_end) tokyo_high := na tokyo_low := na high_broken := false low_broken := false ny_started := false // Détection du high/low Tokyo if (time >= tokyo_start and time < tokyo_end) tokyo_high := na(tokyo_high) ? high : math.max(tokyo_high, high) tokyo_low := na(tokyo_low) ? low : math.min(tokyo_low, low) // Détection des cassures pendant New York if (time >= ny_start and time < ny_end) ny_started := true if not na(tokyo_high) and high > tokyo_high high_broken := true if not na(tokyo_low) and low < tokyo_low low_broken := true // Affichage des niveaux Tokyo plot(tokyo_high, "Tokyo High", color=color.green, linewidth=1, style=plot.style_linebr) plot(tokyo_low, "Tokyo Low", color=color.red, linewidth=1, style=plot.style_linebr) // Surlignage visuel en session NY selon cassure bgcolor(ny_started and high_broken and low_broken ? color.orange : ny_started and high_broken ? color.new(color.green, 80) : ny_started and low_broken ? color.new(color.red, 80) : na) // Affichage texte sur le graphique label_id = label.new(x=bar_index, y=high, text="", style=label.style_label_down, textcolor=color.white, size=size.tiny, color=color.gray) if (ny_started) label_text = high_broken and low_broken ? "Cassure HIGH & LOW Tokyo" : high_broken ? "Cassure HIGH Tokyo" : low_broken ? "Cassure LOW Tokyo" : "Aucune cassure" label.set_text(label_id, label_text) label.set_xy(label_id, bar_index, high + syminfo.mintick * 10)
Pine Script® indicator
by wexleramos4