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RSI/MFI - MTF - Entry signals/Trend colored bars - JD@version=2 This indicator is designed to give early entry signals as well as to follow trend moves, according to different settings. The indicator shows a histogram of the RSI ro MFI in relation to an ema of the RSI or MFI. The histogram is then smoothed to give early reversal/entry signals. The actual RSI/MFI line with oversold/overbought indication can be displayed or omitted, as preferred. in addition to the RSI/MFI line or as an alternative to it, the background colour can be set to change folowing the RSI/MFI signals. The timeframe can be chosen. Higher timeframes (eg. 3h) tend to give less false signals. version 5. added support for custom Multiple Time Frame selection. added option for choice of RSI or MFI as base indicator. added option for price bar coloring according to the indicator. (deselecting "borders" in the "style" tab is recommended) price bar coloring can be adjusted for different strategies: 1. following the slope of the histogram (for faster entry/exit signals) 2. according to positive or negative histogram (for longer moves) 3. according to pos. or neg. RSI/MFI (for longer term trend holds) 4. uptrend: biased towards faster buy signals and slower sell signals to stay in the uptrend 5. downtrend: biased towards faster sell signals and slower buy signals to stay in the downtrend A longer timeframe (eg. 3x) is recommended for following trend moves. try different strategies to see what works better for RSI or MFI. JD.
Indicatore Pine Script®
di Duyck
54
RSI-MTF-Histo-EntryThis indicator gives a histogram of RSI in relation to an ema of the RSI. The histogram is then smoothed to reduce false signals. The actualiteit RSI line with overbought/overvols signals can be added or omitted as preferred. The background can be color coded if the RSI is above or below 50. Version 2. Added support for MTF. Longer timesframes (1h-3h) tend to give better entry results. As an example the indicator was added two times, one for the current timeframe and one for a longer timeframe.
Indicatore Pine Script®
di Duyck
6
T3 Entry and ExitI made this indicator to give clear entry and exit signals plus give signals when I should add onto my trades with no repainting!! The bottom indicator is set to 34 (the default settings). This gives me my entries and exits as shown by the green and red arrow. I use a 14 period setting for my signals to add onto my trade. If I am in a long trade as shown in the chart above and the 14 period T3EE has a fast line cross under the slow line and then a cross back over and I have not had my signal to close trade yet on the 34 period T3EE I will add to my long position. I cut the size of they order in half with each addition to my position. So if I entered with 2 lots I would add 1 lot with my first signal to add (shown by orange arrow) and then .5 lots with the second signal to add to my position and so on until it is time to close the position. If you day trade avoid entering positions between 4pm est and 9pm est. and the larger the ranges and the more trendy the market the better. Good Luck!!! If you have any questions let me know :)
Indicatore Pine Script®
di stocktrader15
6
Price Action + Support/Resistance with LabelsEntry Conditions: Long Entry (BUY): Based on the bullish engulfing pattern and price being above the resistance level. Short Entry (SELL): For demonstration, the short entry condition is set as price being below the support level and a bullish candle in the previous bar. You can modify this logic for your own use case. Stop Loss and Take Profit: Stoploss is plotted at the calculated stop loss level. Target is plotted at the calculated take profit level. Labels: For long trades, labels are added with "BUY", "STOPLOSS", and "TARGET". For short trades (if enabled), labels are added with "SELL", "STOPLOSS", and "TARGET". Labels are placed using label.new at specific locations on the chart (above or below bars). Alert Conditions: Alerts are created for both long and short entry signals so you can get notified when the entry conditions are met. How it works: BUY label will appear below the bar when a long entry condition is met. SELL label will appear above the bar when a short entry condition is met. STOPLOSS and TARGET labels will appear at their respective levels when an entry signal is triggered. The labels will appear on the chart to give you a clear visual cue of the entry, stop loss, and take profit levels. How to Use: Copy the script into your Pine Editor on TradingView and apply it to your chart. Observe the labels that show up on the chart: "BUY" will appear below the bar when long conditions are met. "SELL" will appear above the bar when short conditions are met (if using short logic). "STOPLOSS" will be plotted at the stop loss level. "TARGET" will be plotted at the take profit level. Optional Customization: You can modify the short entry condition based on your preferred method. You can adjust the length for the support/resistance calculation, the stopLossRR, and other parameters to fine-tune the strategy for Nifty 50 or any other asset. Let me know if you have any further questions or need additional modifications!
Indicatore Pine Script®
di subairmkd97
Amazing Crossover SystemEntry Rules BUY when the 5 EMA crosses above the 10 EMA from underneath and the RSI crosses above the 50.0 mark from the bottom. SELL when the 5 EMA crosses below the 10 EMA from the top and the RSI crosses below the 50.0 mark from the top. Make sure that the RSI did cross 50.0 from the top or bottom and not just ranging tightly around the level. How to setup Alert: 1) Add the Amazing Crossover System to your chart via Indicators 2) Find your currency pair 3) Set the timeframe on the chart to 1 hour 4) Press 'Alt + A' (create alert shortcut) 5) Set the following criteria for the alert: Condition = 'Amazing Crossover System', Plot, ' BUY Signal' The rest of the alert can be customized to your preferences 5) Repeat steps 1 - 4, but set the Condition = 'Amazing Crossover System', Plot, ' SELL Signal'
Indicatore Pine Script®
di rmunoz
4
Sunmool's Silver Bullet Model FinderICT Silver Bullet Model Indicator - Complete Guide 📈 Overview The ICT Silver Bullet Model indicator is a supplementary tool for utilizing ICT's (Inner Circle Trader) market structure analysis techniques. This indicator detects institutional liquidity hunting patterns and automatically identifies structural levels, helping traders analyze market structure more effectively. 🎯 Core Features 1. Structural Level Identification STL (Short Term Low): Recent support levels formed in the short term STH (Short Term High): Recent resistance levels formed in the short term ITL (Intermediate Term Low): Stronger support levels with more significance ITH (Intermediate Term High): Stronger resistance levels with more significance 2. Kill Zone Time Display London Kill Zone: 02:00-05:00 (default) New York Kill Zone: 08:30-11:00 (default) These are the most active trading hours for institutional players where significant price movements occur 3. Smart Sweep Detection Bear Sweep (🔻): Pattern where price sweeps below lows then recovers - Simply indicates sweep occurrence Bull Sweep (🔺): Pattern where price sweeps above highs then declines - Simply indicates sweep occurrence Important: Sweep labels only mark liquidity hunting locations, not directional bias. 🔧 Configuration Parameters Basic Settings Sweep Detection Lookback: Number of candles for sweep detection (default: 20) Structure Point Lookback: Number of candles for structural point detection (default: 10) Sweep Threshold: Percentage threshold for sweep validation (default: 0.1%) Time Settings London Kill Zone: Active hours for London session New York Kill Zone: Active hours for New York session Visualization Settings Customizable colors for each level type Enable/disable alert notifications 📊 How to Use 1. Chart Setup Most effective on 1-minute to 1-hour timeframes Recommended for major currency pairs (EUR/USD, GBP/USD, etc.) Also applicable to cryptocurrencies and indices 2. Signal Interpretation 🔻 Bear Sweep / 🔺 Bull Sweep Labels Simply indicate liquidity hunting occurrence points Not directional bias indicators Reference for understanding overall context on HTF 🟢 Silver Bullet Long (Huge Green Triangle) After Bear Sweep occurrence Within Kill Zone timeframe Current price positioned above swept level → Actual BUY entry signal 🔴 Silver Bullet Short (Huge Red Triangle) After Bull Sweep occurrence Within Kill Zone timeframe Current price positioned below swept level → Actual SELL entry signal 3. Risk Management Use swept levels as stop-loss reference points Approach signals outside Kill Zone hours with caution Recommended to use alongside other technical analysis tools 💡 Trading Strategies Silver Bullet Strategy Preparation Phase: Monitor charts 30 minutes before Kill Zone Sweep Observation: Identify liquidity hunting points with 🔻🔺 labels (reference only) Entry: Enter ONLY when huge triangle Silver Bullet signal appears within Kill Zone Take Profit: Target opposite structural level or 1:2 reward ratio Stop Loss: Beyond the swept level Important: Small sweep labels are NOT trading signals! Multi-Timeframe Approach Step 1: HTF (Higher Time Frame) Sweep Reference Observe 🔻🔺 sweep labels on 4-hour and daily charts Reference only sweeps occurring at major structural levels HTF sweeps are used to identify liquidity hunting points Reference only, not for directional bias Step 2: Transition to LTF (Lower Time Frame) Move to 15-minute, 5-minute, and 1-minute charts Analyze LTF with reference to HTF sweep information Use STL, STH, ITL, ITH for precise entry point identification Structural levels on LTF are the core of actual trading decisions Only huge triangle (Silver Bullet) signals are actual entry signals Recommended Usage Identify overall sweep occurrence points on HTF (🔻🔺 labels) Use this indicator on LTF to identify structural levels Reference only huge triangle signals for actual trading during Kill Zone Small sweep labels (🔻🔺) are for reference only, not entry signals 📋 Information Table Interpretation Real-time information in the top-right table: Kill Zone Status: Current active session status Level Counts: Number of each structural level type ⚠️ Important Disclaimers Backtesting results do not guarantee future performance Exercise caution during high market volatility periods Always apply proper risk management Recommend comprehensive analysis with other analytical tools 🎓 Learning Resources Study original ICT concepts through free YouTube educational content Research Market Structure analysis techniques Optimize through backtesting for personal use 🔬 Technical Implementation Algorithm Logic Pivot Point Detection: Uses TradingView's built-in pivot functions to identify swing highs and lows Classification System: Automatically categorizes levels based on recent price action frequency Sweep Validation: Confirms legitimate sweeps through price action analysis Time-Based Filtering: Prioritizes signals during institutional active hours Performance Optimization Efficient array management prevents memory overflow Dynamic level cleanup maintains chart clarity Real-time calculation ensures minimal lag 🛠️ Customization Tips Adjust lookback periods based on market volatility Modify kill zone times for different market sessions Experiment with sweep threshold for different instruments Color-code levels according to personal preference 📈 Expected Outcomes When properly implemented, this indicator can help traders: Identify high-probability reversal points Time entries with institutional flow Reduce false signals through kill zone filtering Improve risk-to-reward ratios This indicator automates ICT's concepts into a user-friendly tool that can be enhanced through continuous learning and practical application. Success depends on understanding the underlying market structure principles and combining them with proper risk management techniques.
Indicatore Pine Script®
di sunmool_
Apex Edge - London Open Session# Apex Edge - London Open Session Trading System ## Overview The London Open Session indicator captures institutional price action during the first hour of the London forex session (8:00-9:00 AM GMT) and identifies high-probability breakout and retest opportunities. This system tracks the session's high/low range and generates precise entry signals when price breaks or retests these key institutional levels. ## Core Strategy **Session Tracking**: Automatically identifies and marks the London Open session boundaries, creating a trading zone from the first hour's price range. **Dual Entry Logic**: - **Breakout Entries**: Triggers when price closes beyond the session high/low and continues in that direction - **Retest Entries**: Activates when price returns to test the broken level as new support/resistance **Performance Analytics**: Built-in win rate tracking displays real-time performance statistics over user-defined lookback periods, enabling data-driven optimization for each currency pair. ## Key Features ### Automated Zone Detection - Precise London session timing with timezone offset controls - Visual session boundaries with customizable colours - Automatic high/low range calculation and display ### Smart Entry System - Breakout confirmation requiring candle close beyond zone - Retest detection with configurable pip distance tolerance - Separate risk/reward ratios for breakout vs retest entries - Visual entry arrows with clear trade direction labels ### Performance HUD - Real-time win rate calculation over customizable periods (7-365 days) - Total trades tracking with win/loss breakdown - Average risk-reward ratio display - Color-coded performance metrics (green >70%, yellow >50%, red <50%) ### PineConnector Integration - Direct MT4/MT5 execution via PineConnector alerts - Proper forex pip calculations for all currency pairs - Customizable risk percentage per trade - Symbol override capability for broker compatibility - Automatic SL/TP level calculation in pips ## Critical Usage Requirements ### Pair-Specific Optimization Each currency pair requires individual optimization due to varying volatility characteristics, institutional participation levels, and typical price ranges during London hours. The performance HUD is essential for identifying optimal settings before live trading. **Recommended Testing Process**: 1. Apply indicator to desired currency pair and timeframe 2. Experiment with session timing - while 8:00-9:00 AM GMT is standard, some pairs may show improved performance with alternative hourly windows (e.g., 7:00-8:00 AM or 9:00-10:00 AM) 3. Adjust Stop Loss distances, Risk/Reward ratios, and Retest distances 4. Monitor win rate over 30+ day periods using the performance HUD 5. Only proceed with live alerts once consistent 60%+ win rates are achieved 6. Create separate optimized chart setups for each profitable pair/timeframe combination ### Timeframe Specifications This indicator is specifically designed and tested for: - **1-minute charts**: Optimal for capturing immediate institutional reactions - **5-minute charts**: Balanced approach between noise reduction and opportunity frequency Higher timeframes generally produce inferior results due to increased noise and reduced institutional edge during the London session window. ## Settings Configuration ### Session Timing - **London Open/Close Hours**: Adjust for your chart's timezone - **Rectangle End Time**: Set to 4:30 PM to stop signals before NY session close - **Timezone Offset**: Ensure accurate London session capture ### Entry Parameters - **Retest Distance**: 3-8 pips depending on pair volatility - **Stop Loss Pips**: Separate settings for breakouts (10-15 pips) and retests (8-12 pips) - **Risk/Reward Ratios**: Independent ratios for different entry types ### PineConnector Setup - **License ID**: Your PineConnector license key - **Symbol Override**: MT4/MT5 symbol names if different from TradingView - **Risk Percentage**: Position size as percentage of account balance - **Prefix/Comment**: Organize trades in terminal ## Manual Trading Limitations Without PineConnector automation, traders face significant practical challenges: **Settings Management**: Each currency pair requires different optimized parameters. Switching between charts means manually adjusting multiple settings each time, creating potential for errors and missed opportunities. **Timing Sensitivity**: London Open signals can occur rapidly during high-volatility periods. Manual execution may result in slippage or missed entries. **Multi-Pair Monitoring**: Tracking 4-11 currency pairs simultaneously while manually adjusting settings for each switch becomes impractical for most traders. **Parameter Consistency**: Risk of using suboptimal settings when quickly switching between pairs, potentially compromising the careful optimization work. ## Recommended Workflow 1. **Historical Testing**: Use win rate HUD to identify profitable pairs and optimal parameters 2. **Demo Automation**: Test PineConnector alerts on demo accounts with optimized settings 3. **Live Implementation**: Deploy alerts only on proven profitable pair/timeframe combinations 4. **Ongoing Monitoring**: Regular review of performance metrics to maintain edge ## Risk Disclaimer This indicator provides analysis tools and automation capabilities but does not guarantee profitable trading outcomes. Past performance does not predict future results. Users should thoroughly backtest and demo trade before risking live capital. The London session strategy works best during specific market conditions and may underperform during low volatility or unusual market environments. ## Support Requirements Successful implementation requires: - Basic understanding of London session market dynamics - PineConnector subscription for automation features - Patience for proper optimization process - Realistic expectations about win rates and drawdown periods This system is designed for serious traders willing to invest time in proper optimization and risk management rather than plug-and-play solutions.
Indicatore Pine Script®
di ApexEdge
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands Part 1 — Mathematics and Algorithmic Design Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals. Data pipeline. 1. Choose a source (default `close`; MTF optional via `request.security`). 2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$. 3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists). 4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer. 5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline). 6. Smooth levels with a short EMA for readability. Rolling quantiles. Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate: * Buy band $\approx Q(q)$ * Sell band $\approx Q(1-q)$ * Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$ Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead. Residual transform (optional). In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price. Volatility-adaptive percentile. Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is: Smoothing. Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals. Latched state machines. Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset: * BUY latch: (1) HLC3 crosses above the median → (2) the median is rising → (3) HLC3 prints above the upper (orange) band → BUY latched. * SELL latch: (1) HLC3 crosses below the median → (2) the median is falling → (3) HLC3 prints below the lower (teal) band → SELL latched. Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn. MTF behavior and repainting. MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability. Complexity and parameters. Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$. Part 2 — Practical Use for Discretionary/Active Traders What the bands mean in practice. The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts. Two core playbooks. 1. Mean-reversion around a stable median. * Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging. * Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up. * Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry. * Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop. * Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down. 2. Continuation with latched confirmations. * Context: A developing trend where you want fewer but cleaner signals. * Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation. * Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum. * Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple. Parameter guidance by timeframe. * Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise. * Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6. * Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4. Baseline choice. Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands. How to time entries. Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size. Risk management. Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution. Combos and filters. * Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median). * Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation). * Volume or session filters (e.g., avoid illiquid hours) can materially improve execution. Alerts for discretion. Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise. Common pitfalls. Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops. A concise checklist. 1. Is the median flat (range) or sloped (trend)? 2. Is band width expanding or contracting vs ATR? 3. Are we near the tail level aligned with the intended trade? 4. For continuation: did the 3 steps for a latched signal complete? 5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)? 6. Are you trading during liquid hours for the instrument? Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries. Disclaimer No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly. The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence 🚀 Best regards Chervolino
Indicatore Pine Script®
di chervolino
Venkat HA Trend Change Triangles# 📘 Venkat HA Trend Change Triangles – Description & User Guide ## 🔎 What It Does This indicator highlights potential **trend change points** on **Heikin Ashi (HA)** candles. It detects when a candle color flips from **green → red** (possible bearish shift) or **red → green** (possible bullish shift) under four scenarios, and then plots a triangle marker: * 🟢 **Green Up Triangle (below bar):** Potential bullish trend change (Red → Green). * 🔴 **Red Down Triangle (above bar):** Potential bearish trend change (Green → Red). This helps traders quickly spot moments where momentum may be reversing. --- ## ⚙️ How It Works The script evaluates **the current HA candle vs. the previous one** and classifies the change into four scenarios: 1. **Green → Red, inside bar** (weaker bearish shift). 2. **Green → Red, engulfing (crosses both high & low)** (stronger bearish shift). 3. **Red → Green, inside bar** (weaker bullish shift). 4. **Red → Green, engulfing (crosses both high & low)** (stronger bullish shift). From these, it plots: * **Trend Down (Bearish):** If scenario 1 or 2 occurs. * **Trend Up (Bullish):** If scenario 3 or 4 occurs. --- ## 📊 Chart Display * 🟢 **Triangle Up (Green)** → Appears **below bar** when the script detects a bullish shift. * 🔴 **Triangle Down (Red)** → Appears **above bar** when the script detects a bearish shift. --- ## 🔔 Alerts You can set alerts to be notified of trend changes: * **Trend Up (Red → Green)** → "Heikin Ashi Trend Change Up" * **Trend Down (Green → Red)** → "Heikin Ashi Trend Change Down" This way, you won’t miss potential reversal signals even if you’re away from the chart. --- ## 📖 How to Use 1. Apply the indicator on a **Heikin Ashi chart** (not regular candles). 2. Watch for: * 🟢 Green Up Triangles as potential **entry signals for longs**. * 🔴 Red Down Triangles as potential **entry signals for shorts**. 3. Use with other tools (moving averages, RSI, support/resistance) to confirm signals — don’t rely on this alone. 4. For stronger signals, you may choose to focus only on **engulfing scenarios (2 & 4)** and ignore inside bars (1 & 3). --- ## ⚠️ Important Notes * This indicator does **not repaint** (it uses completed candles). * It’s best used as a **visual aid**, not a standalone strategy. * Always backtest and combine with other confirmations before trading. ---
Indicatore Pine Script®
di CA_Anand_kumar
Market Mood Meter This script is a comprehensive trading indicator that combines several technical analysis tools to provide a holistic view of market sentiment and potential trading opportunities. Here’s a detailed description of its functionality: Main Components 1. Market Mood Meter Purpose: Measures overall market sentiment using a combination of RSI indicators. Calculation: Uses three different RSIs (with periods 9, 21, and 50) applied to different price sources (close, hlc3, and hl2). Visualization: Displays a meter that ranges from -100 to 100. Uses background coloring to indicate sentiment: Green shades for bullish sentiment (below -100) Red shades for bearish sentiment (above 100) Includes weighted moving averages to show price trends. Weighted Moving Averages Calculates four weighted moving averages with different periods (9, 21, 100, 200). Displays an average of these moving averages. Fills the area between the current price and the weighted MA to indicate bullish/bearish conditions. 2. Stochastic Oscillator Purpose: Provides overbought/oversold signals. Parameters: Length (default 14) Smoothing period for K (default 5) Upper and lower threshold lines for trading signals. Visualization: Plots the stochastic K line. Displays upper and lower threshold lines. Uses bar coloring to indicate trading opportunities: Green for potential long entries Red for potential short entries Blue for neutral/no trade zones Key Features Sentiment Analysis: Combines multiple indicators to provide a comprehensive view of market mood. Visual Signals: Uses color-coding and fills to make signals easily identifiable. Customizable Parameters: Allows users to adjust input settings for stochastic oscillator. Dual Indicator System: Combines sentiment meter with stochastic oscillator for confirmation. Usage Market Mood Meter: Helps traders gauge overall market sentiment and potential reversals. Stochastic Oscillator: Provides entry/exit signals based on overbought/oversold conditions. Bar Coloring: Quick visual reference for trading opportunities. This script is designed to help traders identify market trends, potential reversals, and trading opportunities by combining multiple indicators into a single, easy-to-read interface.
Indicatore Pine Script®
di vslvnvch
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator Version: PineScript™v6 📌 Description The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength. Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions. The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls. 🚀 Points of Innovation Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering Dual-sided confidence tracking for both support and resistance levels simultaneously Sigmoid function processing for enhanced mathematical accuracy in confidence calculations Real-time institutional defense pattern analysis through complete test cycles Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA) Integrated momentum indicators and gradient visualization for enhanced signal clarity 🔧 Core Components Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation 🔥 Key Features Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences Real-Time Updates: Continuously processes market data to provide current institutional confidence readings Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation 🎨 Visualization Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100% Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators Momentum Indicators: Rate of change visualization for confidence trends Background Highlights: Extreme confidence level alerts when readings exceed 80% 📖 Usage Guidelines Auto-Detection Settings Use Auto-Detection Default: true Description: Enables automatic thin liquidity zone identification based on volume and size criteria Volume Threshold Multiplier Default: 6.0, Range: 1.0+ Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases Volume MA Length Default: 15, Range: 1+ Description: Period for volume moving average baseline calculation, affects volume spike sensitivity Max Zone Height % Default: 0.5%, Range: 0.05%+ Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price Confidence Logic Settings Test Observation Window Default: 20 bars, Range: 2+ Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings Clean Break Threshold Default: 1.5 ATR, Range: 0.1+ Description: ATR multiple required for zone invalidation, higher values make zones more persistent Visual Settings Smoothing Method Default: EMA, Options: SMA/EMA/WMA/ALMA Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability Smoothing Length Default: 5, Range: 1-50 Description: Period for smoothing calculation, higher values create smoother lines with more lag ✅ Best Use Cases Trending market analysis where institutional zones provide reliable support/resistance levels Breakout confirmation by validating zone strength before position entry Divergence analysis when confidence shifts between support and resistance levels Risk management through identification of high-confidence institutional backing Market structure analysis for understanding institutional sentiment changes ⚠️ Limitations Performs best in liquid markets with clear institutional participation May produce false signals during low-volume or holiday trading periods Requires sufficient price history for accurate confidence calculations Confidence readings can fluctuate rapidly during high-impact news events Manual fallback zones may not reflect actual institutional activity 💡 What Makes This Unique Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity 🔬 How It Works 1. Zone Identification Process: Scans for high-volume bars that exceed the volume threshold multiplier Filters bars by maximum zone height percentage to identify thin liquidity conditions Stores qualified zones with proximity threshold filtering for relevance 2. Confidence Calculation Process: Monitors price interaction with identified zones during observation windows Measures volume ratios and adverse excursions during zone tests Applies sigmoid function processing to normalize raw data into confidence percentiles 3. Real-Time Analysis Process: Continuously updates confidence readings as new market data becomes available Tracks institutional defense success rates and zone validation patterns Provides visual and numerical feedback through the oscillator display 💡 Note: The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
Indicatore Pine Script®
di PhenLabs
Nef33 Forex & Crypto Trading Signals PRO 1. Understanding the Indicator's Context The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must: Use dynamic or static support/resistance levels already present in the script. Incorporate volatility (such as ATR) to adjust the levels based on market conditions. Define a risk/reward ratio (e.g., 1:2). 2. Options for Determining SL and TP Below, I provide several ideas based on the tools available in the script: Stop Loss (SL) The SL should protect you from adverse movements. You can base it on: ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL. Buy: SL = Entry Price - (atr_smooth * atr_mult). Sell: SL = Entry Price + (atr_smooth * atr_mult). Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones. Buy: SL below the nearest ob_lows or fvg_lows. Sell: SL above the nearest ob_highs or fvg_highs. VWAP: Use the daily VWAP (vwap_day) as a critical level. Buy: SL below vwap_day. Sell: SL above vwap_day. Take Profit (TP) The TP should maximize profits. You can base it on: Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3). Buy: TP = Entry Price + (SL Distance * 2). Sell: TP = Entry Price - (SL Distance * 2). Key Zones: Target the next resistance (for buys) or support (for sells). Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high. Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low. Ichimoku: Use the cloud levels (Senkou Span A/B) as targets. Buy: TP at senkou_span_a or senkou_span_b (whichever is higher). Sell: TP at senkou_span_a or senkou_span_b (whichever is lower). 3. Practical Implementation Since the script does not automatically draw SL/TP, you can: Calculate them manually: Observe the chart and use the levels mentioned. Modify the code: Add SL/TP as labels (label.new) at the moment of the signal. Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio: Modified Code (Signals Section) Find the lines where the signals (trade_buy and trade_sell) are generated and add the following: pinescript // Calculate SL and TP based on ATR atr_sl_mult = 1.5 // Multiplier for SL atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio) sl_distance = atr_smooth * atr_sl_mult tp_distance = atr_smooth * atr_tp_mult if trade_buy entry_price = close sl_price = entry_price - sl_distance tp_price = entry_price + tp_distance label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny) label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny) label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny) if trade_sell entry_price = close sl_price = entry_price + sl_distance tp_price = entry_price - tp_distance label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny) label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny) label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny) Code Explanation SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell. TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio. Visualization: Labels are added to the chart to display SL (red) and TP (blue). 4. Practical Strategy Without Modifying the Code If you don’t want to modify the script, follow these steps manually: Entry: Take the trade_buy or trade_sell signal. SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP). TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3. Example: Buy at 100, ATR = 2. SL = 100 - (2 * 1.5) = 97. TP = 100 + (2 * 3) = 106. 5. Recommendations Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto). Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference. Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
Indicatore Pine Script®
di neftali1327
1
Dave Trading Indicator (with Arrows)//@version=5 indicator("A1 SMC Clean Entry (Arrows + SL/TP) - Publishable", overlay=true, max_labels_count=500, max_lines_count=500, max_boxes_count=200) // === USER SETTINGS === rsiLength = input.int(14, "RSI Length") slATRMult = input.float(1.5, "Stop Loss (ATR Multiplier)", step=0.1) tpRR = input.float(2.0, "Take Profit (R:R)", step=0.1) htfEMA = input.int(200, "Trend EMA (filter)", minval=1) lookbackHigh = input.int(20, "Liquidity High Lookback") lookbackLow = input.int(20, "Liquidity Low Lookback") obLookback = input.int(8, "Order Block Lookback") keepOnlyLast = input.bool(true, "Keep only latest drawings", tooltip="Deletes previous label/box/lines when a new signal appears") // === INDICATORS / FILTERS === rsi = ta.rsi(close, rsiLength) atr = ta.atr(14) trendEMA = ta.ema(close, htfEMA) // === LIQUIDITY SWEEP LOGIC === // A "grab" means price briefly sweeps the recent extreme then closes back beyond it liqHigh = ta.highest(high, lookbackHigh) liqLow = ta.lowest(low, lookbackLow) grabHigh = high > liqHigh and close < liqHigh // stop-hunt above recent highs grabLow = low < liqLow and close > liqLow // stop-hunt below recent lows // === CORE ENTRY RULES === // Multi-confirmation: liquidity sweep + RSI + EMA trend longCondition = grabLow and rsi > 50 and close > trendEMA shortCondition = grabHigh and rsi < 50 and close < trendEMA // === GLOBAL ARROWS (must be in global scope) === plotshape(longCondition, title="BUY Arrow", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.large, text="BUY") plotshape(shortCondition, title="SELL Arrow", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large, text="SELL") // === ALERTS === alertcondition(longCondition, title="BUY setup", message="{{ticker}} BUY setup") alertcondition(shortCondition, title="SELL setup", message="{{ticker}} SELL setup") // === OBJECT MANAGEMENT: keep only last drawings if enabled === var label lastLabel = na var line lastSL = na var line lastTP = na var box lastBox = na f_delete_prev() => if not na(lastLabel) label.delete(lastLabel) lastLabel := na if not na(lastSL) line.delete(lastSL) lastSL := na if not na(lastTP) line.delete(lastTP) lastTP := na if not na(lastBox) box.delete(lastBox) lastBox := na // === WHEN LONG TRIGGERS === if longCondition if keepOnlyLast f_delete_prev() entryPrice = close stopLoss = entryPrice - atr * slATRMult takeProfit = entryPrice + (entryPrice - stopLoss) * tpRR // Label (entry) lastLabel := label.new(bar_index, entryPrice, text="BUY", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small) // SL and TP lines (extend a few bars to the right) lastSL := line.new(bar_index, stopLoss, bar_index + 20, stopLoss, color=color.red, style=line.style_dashed, width=1) lastTP := line.new(bar_index, takeProfit, bar_index + 20, takeProfit, color=color.green, style=line.style_dashed, width=1) // Order Block (approx): use last bearish range before move up bearOB_top = ta.highest(high, obLookback) bearOB_bot = ta.lowest(low, obLookback) // draw a box that covers last obLookback candles and spans bot..top lastBox := box.new(bar_index - obLookback, bearOB_top, bar_index, bearOB_bot, bgcolor=color.new(color.green, 85), border_color=color.green) // === WHEN SHORT TRIGGERS === if shortCondition if keepOnlyLast f_delete_prev() entryPrice = close stopLoss = entryPrice + atr * slATRMult takeProfit = entryPrice - (stopLoss - entryPrice) * tpRR // Label (entry) lastLabel := label.new(bar_index, entryPrice, text="SELL", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small) // SL and TP lines lastSL := line.new(bar_index, stopLoss, bar_index + 20, stopLoss, color=color.red, style=line.style_dashed, width=1) lastTP := line.new(bar_index, takeProfit, bar_index + 20, takeProfit, color=color.green, style=line.style_dashed, width=1) // Order Block (approx): last bullish range before move down bullOB_top = ta.highest(high, obLookback) bullOB_bot = ta.lowest(low, obLookback) lastBox := box.new(bar_index - obLookback, bullOB_top, bar_index, bullOB_bot, bgcolor=color.new(color.red, 85), border_color=color.red) // === OPTIONAL DEBUG PLOTS (comment out if you don't want them) === // plot(rsi, title="RSI", color=color.orange) // off by default to keep chart clean // plot(trendEMA, title="EMA200", color=color.blue) // keep indicator valid even if nothing plotted plot(na)
Indicatore Pine Script®
di davidkalu_dk92
DLC INDICATOR//@version=5 indicator("A1 SMC Day Trading Indicator (OB + Liquidity Grab)", overlay=true, max_lines_count=500, max_labels_count=500) // === INPUTS === rsiLength = input.int(14, "RSI Length") slATRMult = input.float(1.5, "Stop Loss (ATR Multiplier)") tpRR = input.float(2.0, "Take Profit (Risk/Reward)") htfEMA = input.int(200, "Trend EMA (Filter)") lookbackHigh = input.int(20, "Liquidity High Lookback") lookbackLow = input.int(20, "Liquidity Low Lookback") obLookback = input.int(10, "Order Block Lookback") // === INDICATORS === rsi = ta.rsi(close, rsiLength) atr = ta.atr(14) trendEMA = ta.ema(close, htfEMA) // only as filter // === ORDER BLOCK DETECTION === bullOB = ta.lowest(low, obLookback) bearOB = ta.highest(high, obLookback) // === LIQUIDITY SWEEPS === liqHigh = ta.highest(high, lookbackHigh) liqLow = ta.lowest(low, lookbackLow) grabHigh = high > liqHigh and close < liqHigh // stop hunt above highs grabLow = low < liqLow and close > liqLow // stop hunt below lows // === ENTRY CONDITIONS === longCondition = grabLow and rsi > 50 and close > trendEMA shortCondition = grabHigh and rsi < 50 and close < trendEMA // === VARIABLES === var float entryPrice = na var float stopLoss = na var float takeProfit = na // === LONG ENTRY === if (longCondition) entryPrice := close stopLoss := entryPrice - atr * slATRMult takeProfit := entryPrice + (entryPrice - stopLoss) * tpRR // Label label.new(bar_index, entryPrice, "BUY (SMC) ✅", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.normal) // SL / TP lines line.new(bar_index, stopLoss, bar_index+10, stopLoss, color=color.red, style=line.style_dashed) line.new(bar_index, takeProfit, bar_index+10, takeProfit, color=color.green, style=line.style_dashed) // Highlight Order Block box.new(bar_index-obLookback, bullOB, bar_index, entryPrice, bgcolor=color.new(color.green, 85), border_color=color.green) // === SHORT ENTRY === if (shortCondition) entryPrice := close stopLoss := entryPrice + atr * slATRMult takeProfit := entryPrice - (stopLoss - entryPrice) * tpRR // Label label.new(bar_index, entryPrice, "SELL (SMC) ✅", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.normal) // SL / TP lines line.new(bar_index, stopLoss, bar_index+10, stopLoss, color=color.red, style=line.style_dashed) line.new(bar_index, takeProfit, bar_index+10, takeProfit, color=color.green, style=line.style_dashed) // Highlight Order Block box.new(bar_index-obLookback, entryPrice, bar_index, bearOB, bgcolor=color.new(color.red, 85), border_color=color.red)
Indicatore Pine Script®
di davidkalu_dk92
EAOBS by MIGVersion 1 1. Strategy Overview Objective: Capitalize on breakout movements in Ethereum (ETH) price after the Asian open pre-market session (7:00 PM–7:59 PM EST) by identifying high and low prices during the session and trading breakouts above the high or below the low. Timeframe: Any (script is timeframe-agnostic, but align with session timing). Session: Pre-market session (7:00 PM–7:59 PM EST, adjustable for other time zones, e.g., 12:00 AM–12:59 AM GMT). Risk-Reward Ratios (R:R): Targets range from 1.2:1 to 5.2:1, with a fixed stop loss. Instrument: Ethereum (ETH/USD or ETH-based pairs). 2. Market Setup Session Monitoring: Monitor ETH price action during the pre-market session (7:00 PM–7:59 PM EST), which aligns with the Asian market open (e.g., 9:00 AM–9:59 AM JST). The script tracks the highest high and lowest low during this session. Breakout Triggers: Buy Signal: Price breaks above the session’s high after the session ends (7:59 PM EST). Sell Signal: Price breaks below the session’s low after the session ends. Visualization: The session is highlighted on the chart with a white background. Horizontal lines are drawn at the session’s high and low, extended for 30 bars, along with take-profit (TP) and stop-loss (SL) levels. 3. Entry Rules Long (Buy) Entry: Enter a long position when the price breaks above the session’s high price after 7:59 PM EST. Entry price: Just above the session high (e.g., add a small buffer, like 0.1–0.5%, to avoid false breakouts, depending on volatility). Short (Sell) Entry: Enter a short position when the price breaks below the session’s low price after 7:59 PM EST. Entry price: Just below the session low (e.g., subtract a small buffer, like 0.1–0.5%). Confirmation: Use a candlestick close above/below the breakout level to confirm the entry. Optionally, add volume confirmation or a momentum indicator (e.g., RSI or MACD) to filter out weak breakouts. Position Size: Calculate position size based on risk tolerance (e.g., 1–2% of account per trade). Risk is determined by the stop-loss distance (10 points, as defined in the script). 4. Exit Rules Take-Profit Levels (in points, based on script inputs):TP1: 12 points (1.2:1 R:R). TP2: 22 points (2.2:1 R:R). TP3: 32 points (3.2:1 R:R). TP4: 42 points (4.2:1 R:R). TP5: 52 points (5.2:1 R:R). Example for Long: If session high is 3000, TP levels are 3012, 3022, 3032, 3042, 3052. Example for Short: If session low is 2950, TP levels are 2938, 2928, 2918, 2908, 2898. Strategy: Scale out of the position (e.g., close 20% at TP1, 20% at TP2, etc.) or take full profit at a preferred TP level based on market conditions. Stop-Loss: Fixed at 10 points from the entry. Long SL: Session high - 10 points (e.g., entry at 3000, SL at 2990). Short SL: Session low + 10 points (e.g., entry at 2950, SL at 2960). Trailing Stop (Optional):After reaching TP2 or TP3, consider trailing the stop to lock in profits (e.g., trail by 10–15 points below the current price). 5. Risk Management per Trade: Limit risk to 1–2% of your trading account per trade. Calculate position size: Account Size × Risk % ÷ (Stop-Loss Distance × ETH Price per Point). Example: $10,000 account, 1% risk = $100. If SL = 10 points and 1 point = $1, position size = $100 ÷ 10 = 0.1 ETH. Daily Risk Limit: Cap daily losses at 3–5% of the account to avoid overtrading. Maximum Exposure: Avoid taking both long and short positions simultaneously unless using separate accounts or strategies. Volatility Consideration: Adjust position size during high-volatility periods (e.g., major news events like Ethereum upgrades or macroeconomic announcements). 6. Trade Management Monitoring :Watch for breakouts after 7:59 PM EST. Monitor price action near TP and SL levels using alerts or manual checks. Trade Duration: Breakout lines extend for 30 bars (script parameter). Close trades if no TP or SL is hit within this period, or reassess based on market conditions. Adjustments: If the market shows strong momentum, consider holding beyond TP5 with a trailing stop. If the breakout fails (e.g., price reverses before TP1), exit early to minimize losses. 7. Additional Considerations Market Conditions: The 7:00 PM–7:59 PM EST session aligns with the Asian market open (e.g., Tokyo Stock Exchange open at 9:00 AM JST), which may introduce higher volatility due to Asian trading activity. Avoid trading during low-liquidity periods or extreme volatility (e.g., major crypto news). Check for upcoming events (e.g., Ethereum network upgrades, ETF decisions) that could impact price. Backtesting: Test the strategy on historical ETH data using the session high/low breakouts for the 7:00 PM–7:59 PM EST window to validate performance. Adjust TP/SL levels based on backtest results if needed. Broker and Fees: Use a low-fee crypto exchange (e.g., Binance, Kraken, Coinbase Pro) to maximize R:R. Account for trading fees and slippage in your position sizing. Time zone Adjustment: Adjust session time input for your time zone (e.g., "0000-0059" for GMT). Ensure your trading platform’s clock aligns with the script’s time zone (default: America/New_York). 8. Example Trade Scenario: Session (7:00 PM–7:59 PM EST) records a high of 3050 and a low of 3000. Long Trade: Entry: Price breaks above 3050 (e.g., enter at 3051). TP Levels: 3063 (TP1), 3073 (TP2), 3083 (TP3), 3093 (TP4), 3103 (TP5). SL: 3040 (3050 - 10). Position Size: For a $10,000 account, 1% risk = $100. SL = 11 points ($11). Size = $100 ÷ 11 = ~0.09 ETH. Short Trade: Entry: Price breaks below 3000 (e.g., enter at 2999). TP Levels: 2987 (TP1), 2977 (TP2), 2967 (TP3), 2957 (TP4), 2947 (TP5). SL: 3010 (3000 + 10). Position Size: Same as above, ~0.09 ETH. Execution: Set alerts for breakouts, enter with limit orders, and monitor TPs/SL. 9. Tools and Setup Platform: Use TradingView to implement the Pine Script and visualize breakout levels. Alerts: Set price alerts for breakouts above the session high or below the session low after 7:59 PM EST. Set alerts for TP and SL levels. Chart Settings: Use a 1-minute or 5-minute chart for precise session tracking. Overlay the script to see high/low lines, TP levels, and SL levels. Optional Indicators: Add RSI (e.g., avoid overbought/oversold breakouts) or volume to confirm breakouts. 10. Risk Warnings Crypto Volatility: ETH is highly volatile; unexpected news can cause rapid price swings. False Breakouts: Breakouts may fail, especially in low-volume sessions. Use confirmation signals. Leverage: Avoid high leverage (e.g., >5x) to prevent liquidation during volatile moves. Session Accuracy: Ensure correct session timing for your time zone to avoid misaligned entries. 11. Performance Tracking Journaling :Record each trade’s entry, exit, R:R, and outcome. Note market conditions (e.g., trending, ranging, news-driven). Review: Weekly: Assess win rate, average R:R, and adherence to the plan. Monthly: Adjust TP/SL or session timing based on performance.
Indicatore Pine Script®
di levijames7
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.
Indicatore Pine Script®
di OnlyOneOculus
Daily Manipulation and Distribution Levels with Buy/Sell SignalsIndicator Summary: This indicator is designed for intraday traders, highlighting key price levels and providing simple buy/sell signals based on price manipulation and distribution concepts. Key Features: Core Levels: Manipulation Plus/Minus: Derived from the daily open and a portion of the daily range (e.g., 25%). Distribution Levels: Daily high and low serve as ultimate targets or resistance/support levels. Buy and Sell Signals: Buy Signal: Triggered when the price crosses above the Manipulation Plus level. A green "BUY" label marks the entry. Sell Signal: Triggered when the price crosses below the Manipulation Minus level. A red "SELL" label marks the entry. Clean Chart Design: Hides unnecessary clutter, showing only relevant key levels and labeled signals for clarity. How to Use: Entry Points: Buy Entry: When a green "BUY" label appears after the price breaks above the Manipulation Plus level. Sell Entry: When a red "SELL" label appears after the price breaks below the Manipulation Minus level. Exit Strategy: Take Profit: Use the Distribution Levels (daily high/low) as take-profit zones. Stop Loss: Set just above/below the Manipulation Levels to manage risk effectively. One to Two Trades per Session: Focus on high-probability moves to ensure clarity and reduce overtrading. Who It’s For: This indicator is ideal for traders seeking a structured and visual approach to intraday trading, with clear entry/exit criteria based on price manipulation and distribution theory. It simplifies decision-making and ensures clean chart setups without overwhelming visuals.
Indicatore Pine Script®
di alixx220
1