Commencez

Statistics

BEP Level by Jitendra BEP Level Indicator "Break-Even Zone" Overview Summary of This Indicator Options Break-Even (BEP) indicator that calculates and plots Call & Put BEP levels using real option premiums. It helps option sellers identify the true no-profit / no-loss price zone directly on the chart. This indicator is ideal for NIFTY, BANKNIFTY, SENSEX, BANKEX, and NSE stocks. Dynamically builds ATM option symbols (CE & PE) Fetches option premiums from NSE / BSE Calculates Call BEP & Put BEP Displays forward-only or historical BEP levels Highlights the BEP trading zone Triggers alerts when price enters the BEP zone Key Features Accurate Options BEP Calculation Uses real CE & PE option premiums Supports Daily / Weekly / Monthly BEP Manual ATM Strike & Expiry control BEP Zone visualization Forward-only clean BEP levels Historical BEP tracking (optional) Alert when price enters BEP zone Designed for option sellers & range traders How BEP Is Calculated Call BEP = ATM Strike + Call Premium Put BEP = ATM Strike − Put Premium Between Call BEP & Put BEP Price inside zone → Option sellers break even Price outside zone → One side starts losing Premium source can be selected as: Previous period close Today’s open Live premium Supported Instruments Fill Right Option Expiry Dates in Setting NIFTY BANKNIFTY SENSEX (BSX) BANKEX (BKX) NSE Stocks Display Modes Only Next BEP Shows forward-projected BEP levels only Best for live trading Clean & clutter-free view Next + Historical Displays past BEP levels Optional shaded BEP zone Useful for analysis & back testing ATM & EXPIRY SETTING Premium Data Retrieval (Core Logic) Previous Period Close request.security(symbol, tf, close ) Current Period Open request.security(symbol, tf, open) Live Premium request.security(symbol, timeframe.period, close) Data Flow Summary Chart Symbol ↓ Instrument Detection ↓ Prefix + Expiry + Strike ↓ Option Symbol (CE / PE) ↓ request.security() ↓ Premium Selection ↓ BEP Calculation Data Safety & Performance Considerations Uses dynamic_requests=true to allow runtime symbol creation No loops → avoids request limit issues Premiums are fetched only for: One Call option One Put option Optimized for real-time usage Thanks TradingView Community
Indicateur Pine Script®
par asctraderbihar
Sigmoid Risk AllocatorThe Sigmoid Risk Allocator is a dynamic position sizing indicator that tells you how much of your capital to allocate based on current market conditions. Unlike simple "risk-on/risk-off" signals, this indicator gives you smooth, gradual transitions based on a sigmoid function. Why a Sigmoid Curve? Most position sizing approaches use fixed thresholds: "If drawdown > 20%, buy. Otherwise, don't." This creates all-or-nothing decisions. Using the sigmoid (S-curve) makes this decision different. It creates a smooth transition where: Small drawdowns → Stay near your baseline allocation Moderate drawdowns → Gradually increase exposure Large drawdowns → Approach maximum allocation The sigmoid curve naturally "saturates" at the extremes, preventing you from going all-in too early or panicking out too fast. This is very useful to meek traders psychology and risk management in check. What's a Sigmoid Function? The sigmoid function is a mathematical S-curve defined as: σ(x) = 1 / (1 + e^(-x)) This formula takes any input value and smoothly maps it to a number between 0 and 1. The curve has three key properties that make it ideal for position sizing in investing: Smooth transitions: No sudden jumps. Allocation changes gradually. Saturation at extremes: The curve flattens near 0 and 1, preventing overreaction and overexposure. Sensitive in the middle: Most of the action happens around the midpoint. To convert this into an allocation percentage, the indicator uses: Allocation = α_min + (α_max - α_min) × σ(k × (Risk - Midpoint)) Where: - `α_min` = Your minimum allocation (default 50%) - `α_max` = Your maximum allocation (default 100%) - `Risk` = Current risk metric (drawdown %, volatility, or Kelly %) - `Midpoint` = The risk level where allocation sits halfway between min and max (default 15%) - `k` = Steepness—how quickly allocation changes around the midpoint Example : With defaults, if drawdown hits 15% (the midpoint), your allocation will be 75% (halfway between 50% and 100%). As the drawdown increases beyond 15%, the allocation curves toward 100%. As it decreases toward 0%, allocation curves toward 50%. Cool, isn't it? Asymmetric Response: Fast In, Slow Out The indicator uses different steepness values for scaling in vs. scaling out. This is great to increase trend following. This is something I'm proud of too in this indicator. k_increase = 30 (steep curve): When drawdowns appear, allocation ramps up quickly to catch the opportunity k_decrease = 5 (slower curve): When conditions normalize, allocation decreases slowly to avoid selling the rebound This asymmetry reflects how markets behave—drawdowns often overshoot fundamentals (rewarding quick entries), while recoveries tend to be more orderly (rewarding patience on exits). Three Risk Metrics You can choose what drives your allocation: Drawdown (Default) Volatility - Scales your position inversely to current market volatility. Kelly Criterion - Automatically calculates optimal position size. The indicator applies a conservative "half Kelly" by default. Use Cases Position sizing for swing trading or trend following Risk management overlay for any existing strategy Drawdown-based DCA (dollar cost averaging) decisions Volatility-adjusted exposure management Feel free to provide feedback and share your thoughts! - Henrique Centieiro
Indicateur Pine Script®
par HenriqueCentieiro
Position Size Gev_Risk ($) The amount of money you are willing to lose if the stop-loss is hit. Base Stop Price The stop-loss price you set. The stop is recalculated in real time as price moves. Fee (%) round-trip Estimated total trading fees for opening and closing the position. Stop Mode With Buffer: adds extra distance to the stop, resulting in a smaller position size No Buffer: uses the Base Stop Price exactly as entered Stop Buffer (%) The percentage added to the stop distance when Stop Mode is set to With Buffer. Live adjustment behavior The stop price updates continuously as price moves, and the position size is recalculated live to stay aligned with the selected Risk ($).
Indicateur Pine Script®
par gevanv
Level 2 Order Flow Oracle with Sector Heatmap📊 Level 2 Order Flow Oracle™ + Dynamic Sector Heatmap 🎯 Overview The Level 2 Order Flow Oracle™ is an advanced institutional-grade trading indicator that combines sophisticated order flow analysis with real-time sector rotation monitoring. This all-in-one tool provides traders with deep market insights by analyzing bid/ask imbalances, volume profile (VPOC), institutional footprints, and smart money divergences - all while displaying a dynamic sector heatmap that automatically adapts to your selected symbol. Whether you're a day trader, swing trader, or institutional investor, this indicator delivers actionable signals with confidence ratings, risk-reward ratios, and precise entry/exit levels backed by multi-factor analysis. ✨ KEY FEATURES 🔬 Advanced Order Flow Analysis Delta Calculation: Real-time buy/sell volume delta with cumulative tracking Aggressive Order Detection: Identifies large market orders hitting the bid/ask Bid/Ask Imbalance Proxy: Detects strong buying or selling pressure based on candle positioning Order Absorption Detection: Spots institutional walls absorbing market orders Iceberg Order Detection: Identifies hidden institutional orders 📍 Volume Profile & VPOC Dynamic VPOC Calculation: Point of Control showing highest volume traded price levels Volume Distribution Analysis: 10-level price-volume histogram updated every 5 bars VPOC Distance Tracking: Monitors price position relative to high-volume nodes 🐋 Institutional Footprint Detection Smart Money Tracking: Identifies large institutional buy/sell orders (3x+ volume) Distribution/Accumulation Signals: Detects volume divergences at price extremes Order Block Mapping: Marks key institutional support/resistance zones Order Block Retests: Alerts when price revisits institutional levels 🎯 Multi-Factor Prediction Engine 8-factor scoring system analyzing: Trend Alignment (20 points) - EMA 8/21/50 confluence Order Flow (25 points) - Delta and aggressive orders Bid/Ask Imbalance (15 points) - Market pressure Institutional Activity (20 points) - Smart money footprints Volume Profile (10 points) - VPOC positioning Absorption (10 points) - Large order walls Pattern Recognition (10 points) - Reversal/continuation setups Momentum (10 points) - RSI, MACD, MFI alignment 🔒 Prediction Lock Mechanism Confidence-Based Signals: Only triggers at 65%+ (customizable) Stabilization Period: Locks predictions for 10 bars (adjustable) to prevent whipsaws Dynamic Targets: ATR-based profit targets (1.5x to 2.5x based on confidence) Risk Management: Automatic stop-loss calculation Risk-Reward Filter: Only displays signals with 2:1+ R:R ratio 🔥 Dynamic Sector Heatmap Auto-Detection: Automatically identifies which sector your symbol belongs to 10 Sectors Covered: Technology, Finance, Healthcare, Consumer, Energy, Industrial, Communication, Utilities, Materials, Market Indices Real-Time Performance: Updates every tick showing intraday % change Relative Strength Mode: Toggle to show performance vs SPY Visual Color Coding: 🟢 Strong Green: >2.5% gain 🟢 Green: 1.2-2.5% 🟢 Light Green: 0.4-1.2% ⚪ Neutral: -0.4% to +0.4% 🔴 Light Red: -0.4% to -1.2% 🔴 Red: -1.2% to -2.5% 🔴 Strong Red: <-2.5% Current Symbol Highlight: Shows ▶ arrow next to your active ticker 6 Top Symbols Per Sector: Displays the most liquid/representative stocks 📊 Comprehensive Dashboard Real-time metrics displayed: Signal Direction: BULL/BEAR/WAIT with confidence % Lock Status: Countdown until next signal update Price Targets: Entry, target, and stop levels Risk-Reward Ratio: Actual R:R for current setup Delta: Current buy/sell volume difference Imbalance: Bid/Ask pressure indicator Institutional Activity: Whale buy/sell detection Absorption: Large order wall detection VPOC Distance: % distance from volume point of control Order Block Status: Active bullish/bearish block tests Volume Ratio: Current vs average volume RSI & MFI: Momentum oscillators with overbought/oversold zones 🎨 VISUAL COMPONENTS Chart Overlays EMA Ribbons: 8/21/50 period exponential moving averages Bollinger Bands: 20-period with 2 standard deviations VPOC Line: Dynamic volume point of control Order Blocks: Dotted lines showing institutional zones (50-bar memory) Prediction Arrow: Directional forecast with confidence label Stop Loss Line: Dashed red risk management level Background Coloring: Subtle green/red tint indicating active signal Signal Labels 🚀 Bullish Signal: Green label below bar with confidence % ⚠️ Bearish Signal: Red label above bar with confidence % Appears only when: Confidence ≥ threshold (default 65%) Risk-reward ratio ≥ 2:1 Lock period expired or confidence jumped 15%+ ⚙️ CUSTOMIZATION OPTIONS Prediction Settings Prediction Horizon: 5-20 bars (default: 10) Min Confidence %: 50-90% (default: 65%) Lock Period: 5-20 bars (default: 10) Level 2 Analysis Toggles ☑️ Order Flow Analysis ☑️ Volume Profile (VPOC) ☑️ Institutional Footprints ☑️ Order Absorption Detection ☑️ Bid/Ask Imbalance Display Options ☑️ Dashboard (position: Top Center) ☑️ Order Blocks ☑️ Signals Font Size: Tiny/Small/Normal Sector Heatmap Settings ☑️ Show Sector Heatmap Position: Top Left/Right, Bottom Left/Right Size: Tiny/Small/Normal ☑️ Show vs SPY (Relative Strength Mode) Sector Override: Manual sector selection or Auto-Detect 🔔 ALERT CONDITIONS Create automated alerts for: 🚀 L2 Buy Signal: Bullish setup detected with confidence % ⚠️ L2 Sell Signal: Bearish setup detected with confidence % 🐋 Whale Buy: Institutional buying detected (3x+ volume) 🐋 Whale Sell: Institutional selling detected (3x+ volume) 📊 Absorption: Large order absorption detected ✅ Bull OB Test: Price testing bullish order block ❌ Bear OB Test: Price testing bearish order block 📈 HOW TO USE For Day Traders Enable all Level 2 Analysis features Set Lock Period to 5 bars for faster signals Monitor Dashboard for real-time delta and imbalance Watch for 🐋 Whale alerts indicating institutional activity Use Sector Heatmap to identify strong/weak sectors for momentum plays For Swing Traders Increase Lock Period to 15-20 bars for more stable signals Raise Min Confidence to 70-80% for higher probability setups Wait for Order Block retests with confirmation Monitor sector rotation for multi-day trends Use 2:1+ R:R signals only For Position Traders Focus on higher timeframes (4H, Daily) Set Min Confidence to 80%+ for institutional-grade setups Combine with fundamental analysis of sector leaders Use Sector Heatmap to identify sector rotation Wait for both Order Flow AND Institutional Activity alignment Reading the Sector Heatmap Strong outperformance (bright green): Sector leadership, consider long positions Relative weakness (red): Sector lagging, consider avoiding longs Divergence: If your stock is red but sector is green → investigate weakness Convergence: If your stock matches sector → confirmation of trend 🧮 TECHNICAL SPECIFICATIONS Pine Script Version: 5 Chart Type: Overlay indicator Calculation Frequency: Every tick Max Security Calls: 14 (well under 40 limit) Performance Impact: Optimized with conditional loading Sectors Covered: 10 major market sectors Symbols Per Sector: 6 most liquid representatives Historical Data: VPOC uses 20-bar lookback, Order Blocks track 50 bars 💡 BEST PRACTICES Combine with Price Action: Use signals as confirmation, not sole entry reason Respect the Lock: Don't chase trades during lock period - wait for next signal Watch Order Blocks: Retests of institutional zones often provide best entries Sector Context Matters: A bullish signal in a weak sector may underperform Volume Confirmation: Higher volume on signals = higher probability Multiple Timeframes: Check higher timeframe alignment for better success rate Risk Management: Always use the calculated stop-loss levels Filter by R:R: Only take trades with 2:1+ risk-reward ratio ⚠️ IMPORTANT NOTES Sector Auto-Detection: Works for major US equities; use Manual Override for others Real-Time Data: Heatmap requires real-time data subscription for accurate updates Backtesting: Prediction lock mechanism prevents repainting Market Hours: Most effective during regular trading hours with higher volume Not Financial Advice: This is a technical analysis tool; always do your own research 🎓 INDICATOR COMPONENTS EXPLAINED Delta Positive delta = More buying pressure Negative delta = More selling pressure Cumulative delta above SMA = Bullish accumulation Cumulative delta below SMA = Bearish distribution VPOC (Volume Point of Control) Price level with highest traded volume Acts as magnetic level for price action Bullish when price > VPOC Bearish when price < VPOC Order Blocks Price zones where institutions placed large orders Bullish OB: Support zone from institutional buying Bearish OB: Resistance zone from institutional selling Retests often provide optimal entry points Absorption Large volume + small price movement = order absorption Indicates institutional player absorbing market orders Often precedes reversals or consolidation 🚀 GETTING STARTED Add to Chart: Click "Add to Favorites" and apply to any chart Choose Your Symbol: Works on stocks, indices, ETFs Customize Settings: Adjust confidence threshold and lock period to your style Position Heatmap: Move to preferred corner (default: Bottom Right) Set Alerts: Create alerts for L2 Buy/Sell signals Monitor Dashboard: Watch for signal updates and metrics Execute Trades: Follow signals with proper risk management 📊 COMPATIBLE WITH US Equities: All NASDAQ, NYSE, AMEX stocks Major Indices: SPY, QQQ, DIA, IWM ETFs: Sector ETFs, commodity ETFs Timeframes: 1min to Daily (optimized for 5min-1H) Market Conditions: Trending and ranging markets 🛡️ RISK DISCLAIMER Trading involves substantial risk of loss. Past performance is not indicative of future results. This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always use proper risk management, position sizing, and stop losses. The creator is not responsible for any trading losses incurred using this indicator. 📞 SUPPORT & UPDATES Regular updates with new features and improvements Bug fixes and performance optimizations Community feedback integration Follow for update notifications 🏆 WHY CHOOSE LEVEL 2 ORDER FLOW ORACLE™? ✅ Institutional-Grade Analysis: Tools previously available only to professional traders ✅ Multi-Factor Confirmation: 8-factor scoring eliminates false signals ✅ Real-Time Sector Context: Understand market rotation in real-time ✅ No Repainting: Prediction lock mechanism ensures historical signals don't change ✅ Complete Trading System: Entry, target, stop - everything calculated automatically ✅ Visual Clarity: Clean dashboard and heatmap for quick decision making ✅ Customizable: Adjust to your trading style and risk tolerance ✅ Professional Support: Regular updates and improvements Transform your trading with institutional-grade order flow analysis. Add Level 2 Order Flow Oracle™ to your favorites today! 🎯📈 Tags: Order Flow, Volume Profile, VPOC, Institutional Trading, Smart Money, Delta, Sector Rotation, Heatmap, Market Scanner, Level 2, Bid Ask Imbalance, Order Blocks, ICT, Supply Demand, Footprint Chart, Accumulation Distribution, Whale Tracking
Indicateur Pine Script®
par manindersinghx
1
Entropy-Gated Expansion StateThis indicator identifies sustained directional expansion regimes by separating regime qualification from regime persistence. Directional entropy is used to detect when price transitions from a disordered environment into a structured one, acting as a gate that enables participation only during favorable market conditions. Once qualified, trend structure maintains the active state through consolidations and minor pullbacks, ensuring the indicator remains engaged throughout the expansion phase rather than firing as a short-lived signal. The result is a persistent, state-based output that avoids sideways markets, reduces noise, and remains active during sustained trends across a wide range of assets, including high-volatility instruments.
Indicateur Pine Script®
par Mr_Thomas_Shelby
Gap Fill Probability & Statistics [ES/NQ] 🎯 What This Indicator Does This indicator shows you the real probability of gap fill based on historical data analysis of 2,600+ ES and 2,700+ NQ trading days. Unlike other gap indicators that just draw lines, this one tells you: What's the chance this gap will fill today? How long does it typically take? How much risk (drawdown) to expect? What happens after the gap fills? All statistics are context-specific — calculated for your exact gap type (size + direction), not generic averages. 📊 Key Features Real-Time Gap Tracking Automatic gap detection at RTH open (9:30 AM ET) Visual fill levels on chart (25%, 50%, 75%, 100%) Live status updates as price moves Historical Statistics Panel Fill probability by time (10:30, Noon, Close) Typical fill time in minutes Sample size for statistical confidence Risk Metrics MAE (Max Adverse Excursion) — typical drawdown before fill Worst 10% scenarios Whipsaw probability (fills then reverses) Timing Analysis When do most fills happen? Cumulative fill probability by time bucket After-Fill Behavior Does price continue or reverse after fill? Extension beyond gap close 📈 Gap Classification Gaps are classified by size relative to ATR: Tiny: < 0.3x ATR Small: 0.3x - 0.7x ATR Medium: 0.7x - 1.2x ATR Large: > 1.2x ATR Statistics are calculated separately for each size AND direction (Up/Down), giving you 8 unique contexts instead of one generic number. ⚙️ Customization Toggle individual sections on/off: Today's Gap History Stats Fill Chances (ladder) Live Status Risk Info Best Time to Fill Opening Range After Gap Fills 🔔 Alerts Built-in alerts for: 25% fill 50% fill 75% fill 100% fill (complete) 📋 Data Source Statistics derived from analysis of: ES (E-mini S&P 500): 2,646 trading days NQ (E-mini Nasdaq): 2,791 trading days Data includes gaps from 2014-2024, covering various market conditions. ⚠️ Disclaimer This indicator provides statistical probabilities based on historical data. Past performance does not guarantee future results. Use as one input in your trading decisions, not as the sole basis for trades. 💡 How to Use Add indicator to ES or NQ futures chart Select correct symbol in settings At market open, check the probability and typical fill time Use MAE data to set appropriate stop levels Monitor live status throughout the session Best used on 1-minute to 15-minute timeframes during RTH session.
Indicateur Pine Script®
par btcLeft
Pacco LevelsGEX (BTC) v2Pacco LevelsGEX (BTC) is a Bitcoin level-mapping indicator that turns a user-pasted CSV (exported by my dashboard) into a complete on-chart map of key dealer/option-driven zones and targets. What you get on the chart Automatic horizontal levels from the CSV (e.g., ZGL, GEX+, GEX-, Confluence, Tail Gamma, MaxPain, Vol50/Vol95, Charm/Delta/Vega targets, etc.). Right-side labels with price + level name, plus an optional short explanation to speed up interpretation. Controls for line thickness, label size, and right-side spacing, with either: Built-in color coding per level type, or An optional single custom color for all levels. Gamma/Delta by level (Profile mode) If the CSV includes gamma_usd and delta_usd for each level, the indicator can draw a horizontal profile bar at every mapped price: Gamma Profile (gamma_usd) or Delta Profile (delta_usd) Profile position: Centered / Left / Right Adjustable maximum width, thickness, and transparency When multiple labels share the same price, the script consolidates them and sums Gamma/Delta to show the combined impact at that level. ZGL regime background ZGL is used as a regime reference to paint either: A band around ZGL (height configurable as a %), or The entire panel (green above ZGL / red below), with configurable transparency. Extra context If present in the CSV, the script displays Impl. Move Day in a top-right info box. CSV format expected (example) The script reads a flat comma-separated list like: KEY,PRICE,gamma_usd,delta_usd, KEY,PRICE,gamma_usd,delta_usd, ... Some keys may provide only a single value (e.g., Impl. Move Day,VALUE). Why this script is protected (closed-source) This script is published as protected because it implements a specific CSV parsing + aggregation workflow designed to match my dashboard’s export structure (including multi-level consolidation and profile aggregation) and to keep that workflow consistent across my tooling. The description above explains the indicator’s outputs, inputs, and usage so traders can evaluate it without needing the full source. How to use Add the indicator to a BTC chart Paste the dashboard CSV into “Paste BTC CSV” input (Optional) Enable Profile mode and choose Gamma or Delta Choose ZGL background mode (Band or Full Panel) Disclaimer: For educational/informational purposes only. Not financial advice.
Indicateur Pine Script®
par OptionLevels
Volatility Simulation & Analysis🙏🏻 The main purpose of this tool is to define your stop-losses and take-profits, even tho it's really fast (time complexity O(n)), it does Monte Carlo simulations inside, providing you the Way higher info gain. This method is more advanced than using structural volatility analysis , such as stdev on raw data, in a sense that the outputs have lower variance but higher bias . However, in return for that, it provides means to know where to look for breakeven exits, smth you can't really do non-arbitrary with structural volatility. ... How to use: The script outputs 4 lines, 2 outer lines are used for hard stop-losses and take-profits distances, and inner 2 lines are used for the soft stop-losses and take-profits distances. Hard ones are used to setup final SLs and TP. Soft ones are used to trigger attempts to exit at breakeven. The choice of direction (blue/red line) should be based according to your initial position direction. So for longs you'll need blue lines for soft & hard take profits, and red lines for soft & hard stop-losses. Vice versa for shorts. Feel free to improve it, but that's the baseline ruleset and tbh it's more than enough. ... How it works It's fully O(N). This method is closely related to Monte Carlo and VaR , but adapts them to live use for more practical tasks rather than offline simulations & post analysis. The method fully resides in L2 . I use 2 separate streams of innovations from MFPM model (explained here ). From each stream I learn it's parameters, and generate numerous Gamma distributed noise instances, that unlike Exponential noise are more flexible and allow to use both location and scale as separate parameters. Synthetic data generation is the Only part of the method that degrades it to O(N), everything else is O(1). Then I process data cross-sectionally (all samples per one time-stamp), to discover location and scale of each section. These 2 streams then smoothed with attributing higher weights to higher values, so even tho we smooth, we still are honest to the higher importance of higher values. Finally I construct soft and hard volatility envelopes, and scale them from local to global frame. Soft (inner) envelopes model the typical max excursions, while outer (hard) envelopes model rare extreme excursions. ... be cool aye? ∞
Indicateur Pine Script®
par gorx1
Return Skew (Directional Asymmetry)This indicator measures the asymmetry of returns over a rolling window, specifically evaluating whether positive returns dominate negative returns in magnitude rather than frequency. The purpose of this indicator is to identify assets whose upside moves are structurally stronger than their downside moves, indicating convex return behaviour. Unlike trend or momentum indicators, return skew captures the quality of price movement, distinguishing between assets that grind upward versus those that experience explosive upside relative to drawdowns. By requiring positive return skew, this indicator helps avoid assets that are rising through frequent small gains but are vulnerable to sharp downside moves, thereby favouring assets exhibiting genuine asymmetric upside potential.
Indicateur Pine Script®
par Mr_Thomas_Shelby
Today's Price Position On Intraday-From Low /High OVERVIEW A clean, professional indicator that displays your stock's current position relative to today's high, today's low, and yesterday's close - all in one convenient table. 🎯 WHAT IT SHOWS Three key metrics in real-time: - From Low: How far price has moved from today's lowest point - From High: How far price is from today's highest point - % Today: Today's percentage change vs yesterday's 4 PM close ✨ KEY FEATURES ✓ Real-time percentage tracking throughout the trading day ✓ Works on ALL intraday timeframes (1min, 5min, 15min, etc.) ✓ Includes Pre-Market (4:00-9:30 AM) and Regular Trading Hours (9:30-4:00 PM) ✓ Color-coded indicators: Green (up), Red (down), Yellow (at reference point) ✓ Clean, non-intrusive table display in bottom-right corner ✓ Accurate reference to previous day's actual closing price 🔧 TESTING MODE Built-in testing mode allows you to: - Manually input test values for High, Low, Close, and Previous Close - Verify calculations and behavior before live trading 📈 IDEAL FOR - Day traders monitoring intraday price action - Swing traders tracking daily momentum - Anyone wanting quick visual reference of price position - Traders who need to know "where we are" at a glance 💡 HOW TO USE Simply add to your chart - no configuration needed! The indicator automatically: 1. Tracks today's high and low (including pre-market) 2. References yesterday's 4 PM closing price 3. Calculates your current position as percentages 4. Updates in real-time with color-coded signals 🎨 COLOR LEGEND - Green: Price is up/above reference - Red: Price is down/below reference - Yellow: Price is exactly at reference point (unchanged) - Orange: Previous day's close reference price ⚙️ TECHNICAL NOTES - Automatically resets at start of each trading day - Handles both pre-market and regular hours seamlessly - Uses confirmed previous day close (no repainting) - Lightweight and efficient - won't slow down your charts Perfect for traders who want professional-grade information without chart clutter!
Indicateur Pine Script®
par jhor_10
Force of Multi Strategy Bot: Backtest Webhook Alert Adaptive MTFForce of Multi Strategy (FoMS) - Innovative solution designed for crypto trading 📈 Overview: An intraday algorithmic trading bot with 29 strategies, up to 10 symbols, and multi-timeframe filters sends pre-configured Webhook Alerts in TTA format to major crypto exchanges and features a live strategy Switcher that selects the best-performing strategy based on real-time backtest data Key Features: 29 non-repaint strategies on up to 10 symbols Buy/Sell signals based on TV Technical Rating, as well as classic and adaptive indicators Higher Timeframe filters (ADX, Volatility, Volume, ATR) with multipliers from chart TF Advanced risk management and backtest metrics Automated "Switcher” to pick the best-performing strategies from backtest data in real time Webhook alerts in TTA format (tradingview to anywhere) pre-configured to major Crypto Exchanges: Binance, Bitget, BingX, Bybit, GateIO, KuCoin and OKX Main Inputs: "All Strategies" on/off - trading all strategies on chart symbol or one strategy for 10 symbols HTF Mult 1/2 - multipliers for 2 higher timeframes filters InitCap/Trade$/Leverage - position size of one trade and initial capital Min ROI/WR/PF/SRP/MAR/Trades - minimal cutoff for key strategy performance metrics. When "All Strategies" is "on", the switcher will open trades for strategies which meet these criteria "Check Last" on/off - check performance metrics for a specified number of recent trades. If the option is disabled, metrics are checked for the entire duration of the backtest BacktestDays/MaxBars - set how long the script will perform backtests in days, with a limitation on the number of bars for acceptable calculation speed How it works: Only one trade can be opened at a time for each symbol. Strategies or symbols are calculated using their own initial capital settings FoMS operates in two modes: ‘All Strategies’ on and off. When ‘All Strategies’ is off, it focuses on a single, user-selected strategy for each symbol. If ‘All Strategies’ is on, it's continuously evaluates 29 strategies and uses the Switcher to select the most promising ones “All Strategies” Off Mode: When the ‘All Strategies’ option is disabled, the script executes trades and sends alerts based on a single, user-selected strategy for each symbol. The script records backtest results for the selected strategy, allowing you to analyze its performance In attached example you see how FoMS works on 10 symbols (first ones in alphabetical order with a leverage of 50) with chosen strategy #2 and enabled ATR HTF filter. Summary Profit & Loss for Backtest strategy #2: +$162.20 across 119 trades, with a $10 per-trade margin This mode ideal when you calibrate risk management options on different symbols, or if you find that one of 29 strategies is profitable on many symbols and want trade with many of them simultaneously. This opens up the possibility of mass diversification, for example, launching trading on 200 symbols with just 20 notifications “All Strategies” On Mode: When the ‘All Strategies’ enabled, FoMS continuously evaluates 29 strategies for chart symbol and records backtest results continuously from each of them enabling the switcher to work In this example, you can see how FoMS operates with all 29 strategies on a single chart symbol, with a summary P&L of +554.7$ from the backtest across 403 trades. Over the last 20 days from the backtest starting point, each strategy executed a different number of trades, from 2 to 41, getting different P&L from -26.1$ to +74.2$. Based on the results obtained, it seems prudent to continue trading only with strategies that have been more successful in the backtest This is where he comes into play: strategy switcher executes trades and send alerts only from strategies that meet your pre-defined performance criteria, based on backtest results of all strategies. This opens up opportunities, allowing you to not only test the performance of one or many strategies, but also test the logic behind switching them In attached example switcher use next logic: trades opened only for strategies who reached in test minimal setting ROI >= 0.2, PF >= 1.75 and SRP >= 1. As a result of testing this given logic: profit/loss = $84 , return on investment = 0.33, number of trades in 20 days = 34 . P&L per trade rises from 1,37$ (all strategies backtest trades) to 2.47$ (switcher work) Another backtest of logic example, switcher does the same thing but after check 6 last trades for each strategy. This rise ROI from 0.33 to 0.43, P&L rises from 84$ to 98.7$, P&L per trade rises from 2.47$ (check 20 days test) to 3.3$ (check last 6 trades) Also, switcher has abilities to check strategies and update decisions about their performance with setting time period , for example every 2 days, and additionally it’s can choose for trading only Top ROI Rated Strategies, at say for example it can open trades from only Top 3 of them all Interface: Labels: on chart show open long/short and result in USD for closed trades, when "All strategies" is active - labels at bottom of indicator window show which exactly number of strategy opens a deal. The "No" label means that none of the strategies that meet the performance criteria have opened a trade at this time Lines: indicator window contained equity line (aqua) and HTF Technical rating area, chart contain SL/TP (red/green) and open price (blue) lines for opened trades Table 1 (all strategies or all symbols): - TR: count of closed trading deals; WR: Winning Rate; PF: Profit Factor - MDD: Max Draw Down for all calculated time from initial capital - R$: trading Profit & Losses Result in USD First row shows some of script settings, in published example: initial capital 100$, leverage 50L, 20 backtest days, 10$ is invest in one deal, 15m is chart timeframe, 60m is higher timeframe 1 and 120m is higher timeframe 2. The exchange name in the second row determines the alert messages format If strategy meet cutoff criteria you will see "Ok" label, if strategy meet criteria and have maximum from other reached ROI they labeled "Best". Chart strategy labeled "Chart", Chart and Ok labels in one time is "Chart+", "Chart" and "Best" is labeled "Best+" Green or red color of strategy number/symbol means a long or short trade is currently active Table 2 (chart symbol): - PT: Result in USD Per one Trade; PW: Result Per Win, PL: Result Per Loss - ROI: Return On Investment; SR: Sharpe Ratio, MR: CalMAR ratio - Tx: Commission Fee in $; R$: trading Profit & Losses Result in USD There separate trade results of backtesting for longs and shorts. In first column you see how many USD were invested in one trade, taking into account possible position splitting Update frequency: closed trades information updated every bar, but check "ok"/"best" labels in table 1 would be when chart have not open trade. Its need for calculation speed purpose Risk management options: When a buy or sell trade is opened, you'll see three lines on the chart: a red stop-loss line ( SL ), a green take-profit line ( TP ), and a blue line representing the entry price . The trade will be closed if the high price or low price reaches the line TP or SL (no wait for bar close) and alert will be triggered once per bar when script recalculates Several options are available to control the behaviour of SL/TP lines, such as stop-loss by percent, ATR, Highest High (HH) and Lowest Low (LL) . Take Profit can be in percent, ATR, Risk Reward ratio . There some Trailing Stop with start trail trigger options - ATR, % or HH/LL Available Kelly position sizing option with multiplier to reduce growth Additionally, implemented a function for adding a position when the breakeven level expressed in the current ROI is reached for opened trade (splitting). The position is added within the bar Webhook alerts in TTA format with message contained next info : Buy / Sell or adding Quantity, Leverage, SL price, TP price and close trade Result in USD (for easy forward tests and check difference between actual trade result and alerts logs) Backtest Engine: Profit or Loss is USD = close trade price * open trade quantity - open trade price * open trade quantity - open trade quantity * (open trade price + close trade price)/2 * commission Possible slippage or alert sending delay needed to be include in commission % which you will set in risk management settings block, default settings is 0.15% (0,06% for open, 0,06% for close and 0,03% for possible slippage or additional fees) Maximum Draw Down Drawdown = (peak - current equity) / peak * 100 ; Drawdown > maxDrawdown ? maxDrawdown = Drawdown ROI = profit result in USD / sum of all positions margin CalMAR Ratio = ROI / (-MaxDrawDown) Sharpe Ratio = ROI / standard deviation for (Sum of all results) / (Sum of all Position Margins) Strategies: Before describing them, I’ll provide extensive statistics on the results of using the listed strategies: Number 1, 2 and 3: based on Higher Timeframe TradingView Technical Ratings at self. 1 is summary total rating, 2 is oscillators and 3 is moving averages. When TR filter cross user setting filter levels trade will be open at chart bar close. By Default on chart you see Summary Technical Rating oscillator, but here the options for change it to Oscillator TR or Moving Average TR Number 4, 5 and 6: based on Chart TimeFrame TR. Trades will open when its values (Summary, Oscillators and Moving Averages) reached setting buy/sell level. To seeing plot of Chart TF Technical Ratings you can just set HTF multipliers to 1 Number 7, 8 and 9: is Alternative buy sell logic for Chart TimeFrame TR, trades will open when counting rising or falling setting values will be reached Number from 10 to 18: based on user-selected adaptive Moving Averages and Oscillators indicators. In settings you will see different types of Adaptive Algorithms, Moving Averages (By default: SMA, RMA, WMA, Hann, JMA) and Oscillators (By default: RSI, LRSI, MomentumRSI, RVI) - more than 30 options in total. The standard adaptive algorithm is unique, developed by the author and based on ADX: it shortens the length of the MA/OSC when the market is defined as trending, and increases it when the market is defined as sideways. Other available adaptive length algorithms options based on identification of Volatility, Market Cycles or Trending and works on a similar principle adjusting the length setting of MA/OSC within market condition. All adaptive strategies have their options for calibrating. You can plot on chart any MA/OSC and its length obtained from adaptive algorithms. Trades are opened when the MA/OSC are crossed user-specified in settings buy/sell levels Number from 19 to 29: They are calibrated between two options "Fast React" or "Strong Signal" for avoid overfitting. "Fast React" mean trades would be more, indicators will detect buy/sell condition faster. "Strong Signal" buy/sell will identifies slower and open potentially more accurate trades. I tried to found mostly time worked classic strategies within thousands tests, at the time of publication this script uses : - Swing HH LL ( 19 ): trades open when trend swing is determined by comparing the timing of the latest high vs. low within time window sensitive to Fast or Strong setting; - Composite indicator ( 20 ): implemented Fast or Strong variations based on normalized and weighted 0.25 * SMA + 0.15 * RSI + 0.25 * MaCD + 0.35 * ROC, buy/sell signals trigger when overbought/oversell (ob/os) levels is crossed; -%R ( 21,22 ): buy/sell signals occur when fast or strong long term Williams %R and short %R cross centre line or ob/os levels; - Pivot Point SuperTrend ( 23 ): identifies pivot point centreline with ATR bands, buy/sell signal triggered when fast or strong trend direction is changed; - Ichimoku ( 24 ): buy/sell when tenkan cross kijun with strong or fast cloud trend confirmation; - TSI ( 25 ): trades open when fast/strong variations of true strength index crossing ob/os levels; - Band Level RSI ( 26 ): identifies bands based on fast/strong close price wma and stdev, buy/sell signals triggered when RSI cross ob/os levels with price out of bands; - RSI/MacD ( 27, 28 ): trades open when macd crossing signal line if RSI was in ob/os condition long time ago or short time ago in a fast or strong variations, and open trades when macd line (fast) or signal line (strong) crossed zero line; - Bars UpDown( 29 ): trades open when last bars ups or downs in fast or strong variations - Overbought/oversold levels are sensitive to the “Fast React” or “Strong Signal” settings Why this mashup: No one single trading strategy works consistently in all conditions. I combine 29 unique strategies to dynamically identify the best-performing ones at any given time You can enable or disable various Higher Timeframes Filters (ADX, Volume, Volatility, Tech rating). If enabled, trades will only open when the filter setting are reached for one of two HTF And after this describe i will show you another great statistics: In showed tables you see backtest results for all strategies on 100 random crypto coins. Uses default script settings: InitCap 20$, One trade 3$, L50, commission 0.15%, 15m chart TF and two HTF 60m and 120m, ATR 2.5 SL and ATR trailing with trigger at 7 ATRs by open price What in this stats: First test was without any HTF filtering, second table show result for same strategies and coins, but with enabled ADX Filter. As you can see Filter reduce Losses radically Without filtration just 24 crypto coins averages from 100 was profitable, with ADX filtration this number rises to 32 from 100 , note that after filter best performed become another strategies. Bear in mind, all filters or risk management options will affect their backtest performance For clarity: classic indicators are not plotted on chart in this script to avoid overloading the interface. You can easily understand what exactly do listed upper strategies by the “Long” and “Short” labels on the chart and the trades counted in the tables. While you can collect the massive statistics by yourself as shown upper, it is not part of this script Originality and Value: Diverse: fully customizable rules for the first 18 strategies, as well as a choice of "fast" or "strong" signals for the remaining 11, allow you to build a suite with different trading frequency Risk Control and Backtest: dynamic SL/TP and position sizing with immediate test performance of many assets/strategies in one framework help optimize the risk-reward profile Automated Strategy Switching: author developed unique feature allows to pick on the best-performing strategies in real-time and can backtest the logic behind switching them. It designed to finding profitable habits in market behaviours and to cut out unprofitable ones This combination, along with the developer’s extensive research and testing, sets the “Force of Multi Strategy” apart from many other trading solutions available on the market Another usage example: Tips that I found through tests: Last 4 trades say more about the next one #5 than 10 do about #11. You can use many instances of FoMS on one symbol. An attached example demonstrates how 4 instances of FoMS work with different filter settings (No Filters, ADX, ATR, TV.TR) All instances have the same settings : Symbol: PEPE, Chart TF 15m, HTF Mult 4/8, InitCap $100, One trade $10/50 Leverage. Strategies switch based on the same logic : choosing a strategy that achieved an ROI ≥ 0.4 and a win rate ≥ 50% over the last 4 trades. As you can see: the TV.TR filter opened 24 trades with best P&L 118.9$. The ATR filter (no trade if ATR 5 / ATR 20 < 1.2) performed best 1.37 ROI, achieving a P&L 95.9$ with 9 trades in 20 days of backtest Now you can choose the preferred option and create a new alert with the Webhook address provided by TTA. That’s all. The next signal from the strategy that meets the set ROI and WR criteria from the last 4 trades with the HTF filter will be executed by the script and sent to the Webhook address to open a position on the exchange Keep in mind , script open a market orders and alerts have slight delay, some negative or positive difference (usually 3-10%, L50) in close trade result between alert and actual trade results is possible, alert message example: Close 1000PEPEUSDT C=LINEAR +2.27$ Buy 1000PEPEUSDT Q=13276.2944 SL=0.006545 TP=0.010168 L=50 D=2 C=LINEAR St:21 Might be important , this script generates alerts for market orders that are then executed on pre-configured crypto exchanges via the TTA service, along with native SL/TP orders Finally: There is no universal instruction or ‘how to’ for profitability in all markets at any time. However, I will continue researching and will share more tips in the future. I believe that FoMS’s capabilities can revolutionize your understanding of intraday trading Invite-only status safeguards the author’s unique multi-strategy framework, unavailable in public scripts, ensuring users access tailored tools without imitation risks. To get access please see the Author's instructions! Wishing you successful trades! Stay tuned for updates DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for this script, and the information published with them. This script is strictly for individual use. No one knows the future and Investments are always made at your own risk. I am not responsible for any losses you may incur. Before investment make sure that your logic is profitable on demo account
Indicateur Pine Script®
par RGtrue
Angular Moving AveragesMETHODOLOGICAL GUIDE: ANGULAR MOVING AVERAGES Pedagogical Introduction Most traders make the mistake of viewing moving averages as simple support or resistance lines. However, the true power of a moving average lies in its slope vector. This script is designed to transform visual subjectivity into precise mathematical data, allowing the trader to quantify the acceleration or deceleration of a trend through an angular measurement system and a dynamic "pool" of alerts. 1. Dynamic Level System (Highs & Lows) This module projects horizontal lines marking the most recent significant highs and lows detected by the algorithm. While its primary function is structural, its true power lies in its integration with the RSI. • Color Logic: These lines are not static; they change color based on the state of the RSI oscillator (user-configurable). ◦ Fuchsia (Overbought/Oversold): Activated when the RSI reaches critical thresholds (default >= 70 or <= 30). It indicates that the price has reached a threshold of mass participation or exhaustion. ◦ Yellow (Transition Zones): Indicates that the price is entering cautionary terrain (60-70 or 30-40). ◦ Gray (Neutral Zone): The market is in a relative equilibrium (40-60), ideal for identifying consolidation phases. • Utility: Allows the trader to know at a glance whether current support and resistance levels are validated by a momentum condition in the RSI. 2. Fibonacci Reference Frame (Background Structure) As a visual complement, the script integrates an Automatic Fibonacci Retracement based on recent highs and lows. This system is designed as a low-opacity "watermark" to avoid obstructing price action. • Reaction Zones: The system delimits three key bands: 1. Zone 23.6% to 38.2%: The first retracement filter. 2. Zone 38.2% to 50.0%: The movement's equilibrium level. 3. Zone 50.0% to 61.8%: The area of maximum relevance for continuity or reversal. 3. The Control Center (Angular Dashboard) The table is a real-time data processor that divides its analysis into three fundamental pillars, as shown in the technical capture: A. Moving Average Angle Matrix Located in the upper left, it measures the vectorial slope of 5 different moving average architectures: Simple (S), Exponential (E), Weighted (W), Hull (H), and ALMA (A). • Data Interpretation: The numbers inside the cells represent the exact angle of the vector. A positive number indicates an ascent, and a negative number indicates a descent. • Period Versatility: The system allows for custom lengths for each type. For example, a user can compare three ALMA 10-period averages simultaneously to observe subtle variations in the micro-trend. B. Quantitative High/Low Reference The yellow section of the table displays the nominal values (exact prices) of the last detected Highs and Lows. This facilitates quick and precise order management (Stop Loss or Take Profit) without the need for external tools. C. Angular Alerts Pool (Alert & Color Logic) This is the most critical and advanced section of the table. It acts as the "filter" that decides which information is relevant to the trader. • Smart Color-Coding: Cells turn Green or Red when angles meet specific pre-configured criteria. • Lateralization Detection: A key pedagogical aspect is observing when short-term averages (following the price) mark green while long-term ones remain red. This divergence alerts the trader to transition or sideways phases, preventing entries in false trends. • "Waterfall" Configuration: Allows for confirming that the movement has constant inertia (such as the three cascading ALMA 10s) before executing a trade. • Total Integration: The Alerts Pool can also affect the visualization of the high and low levels on the chart. Customization and Technical Restrictions This system has been designed as a highly adaptable tool for any trading style. All numerical values, moving average lengths, colors, and visualization elements are fully user-configurable, with one single exception: • Fibonacci Values: The levels 23.6%, 38.2%, 50.0%, and 61.8% remain fixed to ensure the integrity of the mathematical retracement metric. However, their colors and visibility can be customized to suit any visual theme (Dark or Light). MODULAR CONFIGURATION & HYPER-SCALABLE ALERTS POOL This system is not a rigid tool; it is a technical engineering environment designed for objective market measurement. Although specific setups are shown in the visual examples, the user has absolute control to adapt the indicator to their own analysis methodology. 1. Moving Average Configuration & Algorithmic Versatility The engine processes 5 families of algorithms (SMA, EMA, WMA, HULL, and ALMA) with total flexibility: • Custom Lengths: Although the system includes default values (10, 50, 100, 200), you can freely reconfigure them. For example, you can work with "pairs" of averages (two 20-period and two 55-period) to analyze different sensitivities. • Style Personalization: The user decides which averages to display on the chart to maintain operational clarity, while the engine continues to process the rest of the data in the background. • Instant Refresh: Any change in configuration is immediately updated in both the 20 vectors and the data table (Dashboard). 2. The Technical Alerts Pool: Centralized Intelligence The alert management unifies up to 22 technical variables into a single output, optimizing TradingView resources and the trader's attention. • Operational Efficiency: When the alarm sounds on your device, the Dashboard will accurately indicate which of the 22 variables (Price Breakouts or Angular Vectors) triggered the signal. • Threshold Logic: ◦ Value 0: Alert disabled. ◦ Positive Value ($>0$): Identifies the strengthening of a bullish trend. The alert triggers when the angle is greater than or equal to the programmed value. ◦ Negative Value ($<0$): Identifies the strengthening of a bearish trend. The alert triggers when the angle is less than or equal to the programmed value. • Mathematical Integrity: The program operates internally with high-precision decimals. If you program an alert at 20°, the system will only trigger it upon reaching the exact value (e.g., 20.00°). The Dashboard's visual rounding to whole numbers is purely aesthetic; the execution is strictly technical. Technical Case Analysis (visual examples) The following sequence of attached screenshots demonstrates the system's filtering and detection capabilities: 1. Bearish Trend Scenario 1. Initial Setup: This image shows two overlapping menus. First, the Style tab (where Hull averages are selected as a visual reference) and, second, the Alerts menu with negative values configured to detect downward trend strength. 2. Chart Response: The next capture shows the technical result: 20 aligned vectors and the price confirming the downward movement after the programmed breakouts. 2. Bullish Trend Scenario. 1. Threshold Setup: Capture showing the adjustment of values in the configuration menu, this time set with positive parameters to identify upward trend acceleration. 2. Chart Response: Image illustrating the expansion of the vectorial fan and the health of the bullish trend in full development. Consolidation Filtering: In these examples, a critical feature is evident: during periods of consolidation or sideways ranges, fast averages react to price noise, but slow ones maintain their trajectory. Thanks to the Alerts Pool, the user can filter this behavior and receive notifications only when the trend regains its real angular strength. TECHNICAL ARCHITECTURE: VECTORIAL PRECISION Total scale independence and cross-device consistency The major problem with conventional angular indicators is that their appearance changes depending on the zoom level or screen size, leading to subjective and erroneous signals. This indicator solves this issue through a vector-based architecture that maintains absolute integrity. You can observe the same asset, on the same timeframe and at the same time, from a mobile phone or a large desktop monitor; the angle and projected force will be identical. The inclination of the vectors is an objective measurement that does not depend on how you stretch or compress the chart on your screen. Visual stability example (Standard scenario): In this first link , you can observe the behavior of the vectors on a chart with normal proportions. I have used the Bar Replay tool to keep the scenario fixed and allow for a real comparison. Visual stability example (Deformed chart): In this second link , I have extremely deformed the chart. As you can see, while the price and candles change their visual appearance, the vectors maintain the exact same angle and position, proving that the force measurement is undisturbed by scaling. TRADING ECOSYSTEM: ANGULAR VOLATILITY & EDITOR'S PICK SEAL This moving average indicator serves as a complement to my Angular Volatility methodology. It is part of an analytical system that I have shared chronologically and transparently, allowing for a clear understanding of how these tools evolve within the market. It is important to highlight that the technical robustness of this approach was officially recognized when my second publication in this series received the Editor’s Pick distinction. This endorsement from TradingView moderators validates the technical foundation of the angular analysis that I continue to expand today with this new script, designed to measure vector and force. To fully understand the ecosystem and how this indicator enhances volatility and directional readings, you may consult the following public publications in their order of development: 1. Core Methodology (Script): 2. Awarded Market Analysis (Editor’s Pick): 3. Technical Educational Series (Case Studies): EVALUATION ACCESS & CONTACT PROTOCOL To allow you to personally verify the effectiveness of this vector and force system in your own trading, I am granting a 15-day temporary evaluation access. How to request and manage your access: 1. Initial Request: Leave a comment directly on this publication requesting the trial. This allows me to immediately identify your profile and enable the invitation. 2. Activation and Location: Once I receive your comment, I will activate your access. You can find the indicator on your TradingView chart by going to the "Indicators" menu and looking for the folder named "Invite-only scripts". I will reply to your comment simply to confirm that access has been granted and to provide the expiration date. 3. Communication: To avoid cluttering the public comments section, I will send you a Private Message (TradingView Chat) with additional details. Through this private chat, we can maintain fluid communication. If you require permanent access, you can contact me via Facebook (link available in my author profile). Important Note on Privacy: Please do not share emails, phone numbers, or external links in the public comments. TradingView prohibits the exchange of personal data in this section, and both parties could face sanctions. For any details requiring external contact, please use the link in my profile or the private chat. MARKET CALIBRATION, TIMEFRAMES, AND FUTURE UPDATES It is fundamental to understand that this system does not use a generic formula. Each market and each timeframe requires exhaustive study and individual calibration to ensure that the vectors accurately represent the real force of the movement. Currently, the script is calibrated exclusively for Cryptocurrency and Forex markets (options you will find in the settings menu). If there is solid interest from the community, I will undertake the calibration process for other assets such as Stocks, Indices, or Commodities—a task that requires time, patience, and rigorous technical study. Regarding timeframes, the system is optimized to work on 1m, 5m, 15m, 30m, 1h, 4h, Daily, and Weekly charts. Outside of these ranges, the indicator will not perform readings to protect the integrity of the analysis. However, additional timeframes can be added upon direct request from subscribers, with the understanding that each new timeframe must undergo its own individual calibration process before being integrated into the code. ADAPTABILITY AND FUTURE MOVING AVERAGES Although the core of the indicator is optimized for a specific moving average configuration, the system has been designed with a flexible architecture that allows for the integration of other types of averages based on trading needs. Technical Limits and Customized Versions: It is important to consider that each added type of moving average consumes processing resources within TradingView. Due to the calculation and validation limits imposed by the platform to maintain chart performance, it is not feasible to include every possible variation within a single script. However, this limitation is easily resolved through the creation of derivative or specific versions. Upon request from subscribers, these new moving averages can be incorporated into future releases or customized versions, ensuring that the tool adapts to your strategy without sacrificing fluid performance and vectorial precision.
Indicateur Pine Script®
par Trader_Algoritmico
5