Daily Gold Key Levels from X (Intraday - Unified Text Box)Script pulling daily trade ideas and key levels from X Accounts for XAU USD Pine Script® 인디케이터tinmor의29
Portfolio TrackerDescription The Portfolio Tracker is a utility dashboard designed for traders who need to monitor the performance of a multi-asset portfolio directly from a single chart layout. While TradingView provides excellent charting for individual symbols, tracking the combined Profit & Loss (PnL) of a basket of 20 different securities (stocks, crypto, forex, or indices) usually requires switching tabs, using external spreadsheets, or logging into multiple exchange accounts. This script solves that problem by allowing users to manually input their position details into a customizable table. It fetches real-time price data for each symbol and calculates the individual and total portfolio performance, including commission costs. Why This Tool is Useful This indicator was built to address specific pain points for active traders: Consolidated View: Instead of checking 20 different charts to see how your positions are doing, you get a single, real-time snapshot of your entire portfolio's health on one screen. Risk Management: By seeing the "Total PnL" and "Total Investment" in one place, traders can better understand their overall market exposure, rather than focusing on single winning or losing trades. Flexible Accounting: The ability to switch between "Unit Price" and "Total Cost" inputs accommodates different trading styles—whether you are a scalper entering a single price or an investor averaging down with a specific total capital allocation. CRITICAL: Input Logic & Warnings To ensure accurate PnL calculations, users must understand the relationship between Quantity and Cost, especially when using "Total Cost (Manual)" mode. The Golden Rule: Your Input Cost must always match the Total Quantity entered. Example Scenario: Imagine you buy 2 BTC at a price of $90,000 each. Correct Entry: You must enter Quantity: 2 and Cost: 180000 ($90k x 2). Result: If BTC drops to $85k, your Portfolio Value is $170k. The script correctly shows a PnL of -$10,000. Result: If BTC rises to $95k, your Portfolio Value is $190k. The script correctly shows a PnL of +$10,000. Incorrect Entry: If you enter Quantity: 2 but leave Cost at 90000 (the unit price). Result: The script thinks you bought 2 BTC for a total of only $90k. It will instantly show a massive, incorrect profit because the math implies you bought 2 coins for the price of 1. Please double-check your inputs. The script includes a "Sanity Check" feature to help catch these errors, but accurate data entry is the user's responsibility. Key Features & Benefits Multi-Asset Tracking (20 Slots): Monitor up to 20 different tickers simultaneously. Real-Time Valuation: Uses request.security() to fetch the current market price for every symbol in the list. Your PnL updates with every tick of the market. Flexible Cost Basis Modes: Auto-Calc Mode: Enter Entry Price and Quantity. (Best for simple, single-entry trades). Manual Cost Mode: Enter Total Invested Amount. (Best for averaged-down positions). Advanced Commission Handling: Supports both Global and Individual commission rates. This provides a realistic "Net PnL" by factoring in fees on both the entry (cost basis) and the theoretical exit (current value). Input Safety ("Sanity Check"): A logic check that compares the user's input against the current market value. If a user switches to "Total Cost" mode but leaves a small "Unit Price" value in the input field, the script flags the row to prevent irrational PnL percentages (e.g., >100,000%). Clean & Customizable UI: The table can be positioned in 9 different locations, and inputs are hidden from the chart status line to keep the visual workspace clean. How It Works The script operates using a systematic loop that processes user inputs through a series of mathematical validations: Data Acquisition: The script collects all 20 user inputs and utilizes request.security() to fetch the real-time close price for every non-empty symbol in the list. Cost Basis Calculation: In Auto-Calc Mode: The script calculates Raw Cost = Quantity * Input Price. In Manual Mode: The script takes the Input Value directly as the Raw Cost. "Round-Trip" Commission Modeling: Entry Cost: Raw Cost * (1 + Commission%) (Fees increase your breakeven). Exit Value: (Quantity * Current Price) * (1 - Commission%) (Fees reduce your payout). Net PnL: Exit Value - Entry Cost. Sanity Check Algorithm: Before displaying data, the script compares the Input Cost against the Gross Market Value (Qty * Price). If the Input Cost is less than a user-defined threshold (default 1%) of the Market Value, it triggers a warning, assuming the user forgot to update the field to a "Total Cost" figure. Disclaimer This script is for informational and educational purposes only. It is a tool to assist in tracking hypothetical or real positions based on manual user inputs and standard TradingView data feeds. It should not be relied upon as a primary accounting ledger or tax reporting tool. Past performance is not indicative of future results. Trading involves risk. Always verify your PnL against your actual exchange or broker statements.Pine Script® 인디케이터abgthecoder의119
4 EMA Flexible with CrossoversOverview This indicator is a highly customizable multi-EMA (Exponential Moving Average) suite designed for trend followers and momentum traders. Unlike standard EMA indicators, this script provides four independent EMAs, each with its own horizontal Offset parameter, allowing traders to shift averages forward or backward to account for market lag or cycles. It is specifically built for traders who use a "Triple EMA" or "Quad EMA" setup to filter trends across different timeframes while looking for precise entry triggers. Key Features 4 Independent EMAs: Fully customizable length and color for each average. Horizontal Offsets: Each EMA can be shifted horizontally (left or right) to align with specific market structures or to create "lead" indicators. Crossover Detection: The script automatically monitors EMA 1 and EMA 2 for crossovers. Golden Cross (Cross Up): Signals potential bullish momentum. Death Cross (Cross Down): Signals potential bearish momentum. Visual Labeling: Includes intuitive on-chart shapes (Triangle Up/Down) and text labels to ensure you never miss a crossover event. Alert Integration: Native support for TradingView alerts. You can set notifications for Bullish and Bearish crossovers with a single click. How to Use Trend Filtering: Use the 4th EMA (default 200) as your "Trend Filter." Only take Long signals when price is above this line and Short signals when below. Signal Generation: Use the first two EMAs (default 21 and 30) to generate entry signals. When they cross in the direction of the higher-order trend, it indicates a high-probability entry point. Offset Tuning: Use the Offset feature to shift your signal EMAs forward (positive values) if you want to avoid "whipsaws" in a sideways market. Settings EMA 1 & 2: Primary signal lines. Crossovers are calculated based on these two inputs. EMA 3 & 4: Secondary trend lines for support/resistance and trend direction. Offset: Adjusts the horizontal placement of the line (positive for right, negative for left).Pine Script® 인디케이터MorcomIns의19
Mashrab | Momentum X-Ray Stop guessing if a stock is a "Leader" or a "Laggard." The Mashrab Momentum X-Ray is a professional Heads-Up Display (HUD) that tells you the true strength of any stock in seconds. Designed for serious swing traders and breakout specialists (similar to the styles of Qullamagie, Mark Minervini, and IBD), this tool ignores the noise and focuses on the only things that matter: Relative Strength, Volume Fuel, and Fundamental Health. 🚀 Key Features (What it does) 1. The "Smart" Relative Strength Engine Most indicators blindly compare every stock to the S&P 500. This dashboard is smarter. It automatically scans the stock’s Industry (e.g., Semiconductors, Gold Miners, Regional Banks). It compares the stock’s performance against its specific peers (e.g., NVDA vs. SMH ETF) and the market benchmark (SPY). Green Signal: The stock is beating both the market and its sector. This is a "True Leader." 2. IBD-Style RS Rating (1-99 Scale) Get the "Secret Sauce" of institutional screening directly on your chart. Calculates a weighted performance score: 40% (Last 3 Months) + 20% (6m, 9m, 12m). The Scale: 90–99 (Lime Green): Elite Super-Stock. 80–89 (Green): Strong Leader / Breakout Candidate. < 50 (Red): Laggard / Avoid. 3. Momentum "Fuel" Gauge (RVol) Price moving up is good. Price moving up on massive volume is better. The RVol (Relative Volume) row lights up Yellow or Purple when volume is 1.5x to 3x higher than normal. This detects "Institutional Buying" footprints. 4. "Blue Sky" Detector Instantly see how close the price is to its 52-Week High. Stocks within 5% of their highs (Green) have no "overhead supply" (bag holders) and can run the fastest. 👀 How to Read the Dashboard Top Table (Tactical Momentum) RS vs SPY / Sector: Look for DOUBLE GREEN. This means the stock is the "King of the Hill." RVol: Look for > 1.5x (Yellow). This means big players are entering the trade. Bottom Table (Strategic Context) IBD RS Rating: Look for a score of 80 or higher. ADR (20): Shows the "Average Daily Range" volatility. (e.g., 4.5% means the stock moves ~4.5% a day). Use this to size your position correctly! Industry: Tells you exactly which ETF is being used for comparison (e.g., "Semiconductors (SMH)"). ⚙️ Settings & Customization Benchmark: Change the default SPY to QQQ (for Tech), IWM (for Small Caps), or BTCUSD (for Crypto) to fit your strategy. Lookback: Defaults to 26 Bars (Standard Monthly Momentum), but fully adjustable. Text Size: Make the tables larger or smaller to fit your screen. "Trade the Leaders, Ignore the Laggards."Pine Script® 인디케이터highstandart9의12
Smart Signals [Vdubus]Smart Signals Concept & Philosophy Smart Signals is a "Regime-Filtered" oscillator designed to solve the biggest problem with standard indicators: Counter-trend noise. Most oscillators (like Stochastic or RSI) are "dumb" to market context—they will signal "Sell" continuously during a strong uptrend simply because the price is high. Smart Signals fixes this by first determining the Market Regime (Bullish or Bearish) and then strictly filtering out any signal that contradicts that trend. It creates a "Tiered" trading system that separates standard trend-following entries from high-probability "Sniper" entries (Hidden Divergence), all presented in a clean, color-blind-friendly visual interface. Core Functions 1. The "Sheriff" (Trend Filter) At the heart of the indicator is a heavy, modified Hull Moving Average (HMA 200) that acts as the trend baseline. Bullish Regime: When the baseline is sloping UP, the indicator enters "Buy Only" mode. All Sell signals are mathematically deleted. Bearish Regime: When the baseline is sloping DOWN, the indicator enters "Sell Only" mode. All Buy signals are mathematically deleted. The Math: It uses a custom difference-weighted formula (wmaHalf = Length / 1) to create a stable, chop-resistant trend anchor. 2. Dual-Signal Engine The indicator scans for two distinct types of entries simultaneously: ♦ Standard Signals (Blue/Red Diamonds): Logic: A classic Stochastic pullback (Cross 20/80) aligned with the trend. Use Case: These are frequent "Bread and Butter" trend entries. They are excellent for scaling into a position or adding to a winner as the trend continues. Location: Plotted at the top (Sell) and bottom (Buy) edges of the panel. + Sniper Signals (Gold Crosses): Logic: Hidden Divergence. The script detects when Price holds structure (Higher Low) while Momentum resets (Lower Low). This is a "Slingshot" setup. Use Case: These are rare, high-conviction entries. They often mark the end of a complex correction and the resumption of the main trend. Location: Plotted on the Zero Line to indicate structural strength. 3. Smart Momentum Histogram The histogram visualizes the "Energy" of the move (MACD 21, 34, 7), but with a twist. It is color-coded to the signal priority: Gold Bars: A Sniper (Divergence) setup is active. Solid Blue/Red Bars: A Standard Signal is active. Faded Blue/Red Bars: The trend is active, but momentum is resetting (waiting mode). Gray Bars: Counter-trend noise (Ignore). How to Trade It Check the "Road": Look at the general color of the histogram columns. Blue Columns: Look for Longs. Red Columns: Look for Shorts. The "Sniper" Entry: Wait for a Gold Cross (+) on the zero line. This is your primary signal to enter a trade with normal risk. The "Pyramid" Entry: If the trend continues and you see Blue/Red Diamonds (♦) appear at the edges, these are safe places to add to your position. The Exit: Since this is a trend-following tool, exit when the histogram color flips (e.g., from Blue to Red/Gray), or use your own support/resistance targets. Alerts Configuration The indicator comes with a full suite of alerts for automation: Gold Buy / Gold Sell: Notifies you only for the high-probability Hidden Divergence setups. Standard Buy / Standard Sell: Notifies you for every trend pullback. ANY BUY / ANY SELL: A combo alert that triggers on either signal type (useful for simplifying your alert limits). Accessibility Color Blind Friendly: The default palette uses High-Contrast Blue (#2962FF) and Soft Red (#FF5252) instead of standard Green/Red, ensuring visibility for all users. Zero Clutter: No text labels or confusing lines. Just clear, distinct shapes (Diamonds and Crosses) at fixed locations.Pine Script® 인디케이터vdubus의33471
+25% DMA200 +25% DMA200 highlights daily over-extension by printing a ⚠️ marker on every daily candle where price is more than X% above the Daily 200 DMA (200-period SMA calculated on the Daily timeframe). It also plots the Daily DMA200 line on the chart. Recommended usage in GOLD, GLD, etc. How it works Computes DMA200 using Daily data Measures extension: (Close − DMA200) / DMA200 If extension is above the threshold (default 0.25 = 25%), it places a ⚠️ above that candle (one per qualifying daily candle). Optional alert triggers only when extension crosses above the threshold (entry into the over-extended zone). Inputs DMA Length (Daily): Moving average length (default 200). Threshold: Over-extension level (0.25 = 25%). Run ONLY on 1D chart: If enabled, marks/alerts only on Daily charts. Pad above high: Vertical spacing for the marker above the candle’s high. Keep last N markers: Limits how many markers are kept to avoid chart clutter. Note This is not a buy/sell signal—it’s a risk/extension detector to help identify when price is stretched far above its long-term daily mean.Pine Script® 인디케이터Luigui_Herrera의3
Master Crypto Overlay [R2D2]The Gemini Master Crypto Overlay: User Guide 1. Introduction The Gemini Master Crypto Overlay is a professional-grade TradingView script designed to consolidate six powerful institutional indicators into a single, clean "heads-up display" (HUD). Instead of cluttering your chart with multiple sub-windows (which shrinks your view of the price), this script uses smart overlays and a data dashboard to provide actionable data instantly. It is optimized for the Daily timeframe as requested, but functions on all timeframes. Included Indicators: Ichimoku Cloud: Identifies the primary trend and support/resistance zones. MACD (Custom Crypto Settings): Optimized (3-10-16) for catching fast crypto moves. WaveTrend Oscillator: Visual signals for Overbought/Oversold entries. Supertrend: A trailing stop-loss line to keep you in profitable trades. Ultimate RSI (MTF): Multi-timeframe analysis to ensure you are trading with the higher trend. Volume Reference (VWAP): An on-chart proxy for Volume Profile to spot fair value. 2. Installation Instructions Step 1: Open Pine Editor Launch your chart on TradingView. At the bottom of the screen, click the tab labeled Pine Editor. Step 2: Paste the Code Delete any text currently in the editor window. Copy the code block at the bottom of this response. Paste it into the editor. Step 3: Save and Add Click "Save" (top right of the editor) and name it "Master Crypto Overlay". Click "Add to chart". Note: You may hide the "Pine Editor" panel now by clicking the arrow at the bottom center of the screen. 3. How to Use the Interface The script is designed to be intuitive. Here is what you are looking at: A. The Dashboard (Bottom Right) This is your "Confluence Checker." It summarizes the status of the major indicators in real-time. GREEN: Bullish (Buy/Hold) RED: Bearish (Sell/Short) GRAY: Neutral/Choppy (Stay out) Pro Tip: Do not enter a trade unless at least 3 out of 4 signals on the dashboard match your direction. B. On-Chart Signals Clouds (Red/Green): If the cloud is Green and rising, only look for Long trades. If Red, only look for Short trades. Supertrend Line: This continuous line trails the price. If price is above it (Green line), you are safe. If price closes below it, the trend has reversed. MACD Labels: Small "MACD" text appears when momentum flips. WaveTrend Circles: Blue Circle (Bottom): Price is "Oversold." Good time to buy if the trend is up. Orange Circle (Top): Price is "Overbought." Good time to take profit. 4. Strategy: Maximizing Trading Returns To make money with this script, you need a rule-based system. Do not just blindly click when you see a label. Use this "Trend & Trigger" strategy: The "Golden Entry" (High Probability Long) Trend Check: Ensure price is ABOVE the Ichimoku Cloud. Dashboard Check: Verify the RSI Status says "BULL (>50)". The Trigger: Wait for a pullback where price touches the Supertrend Line (Green) or the top of the Cloud. The Entry: Enter the trade when a Blue WaveTrend Circle appears OR a MACD Buy Label prints. Stop Loss: Place your stop loss slightly below the Supertrend line. The "Exit Strategy" (Protecting Profits) Conservative: Sell half your position when an Orange WaveTrend Circle appears. Trend Follower: Hold the rest of your position until the Supertrend Line turns RED. Pine Script® 인디케이터R2D2_4Life의8
Jake's Candle by Candle UpgradedJake's Candle by Candle Upgraded The "Story of the Market" Automated This is not just another signal indicator. Jake's Candle by Candle Upgraded is a complete institutional trading framework designed for high-precision scalping on the 1-minute and 5-minute timeframes. Built strictly on the principles of Al Brooks Price Action and Smart Money Concepts (SMC), this tool automates the rigorous "Candle-by-Candle" analysis used by professional floor traders. It moves beyond simple pattern recognition to read the "Story" of the market—Context, Setup, and Pressure—before ever allowing a trade. The Philosophy: Why This Tool Was Built Most retail traders fail for two reasons: Getting Trapped: They enter on the first sign of a reversal (H1/L1), which is often an institutional trap. Trading Chop: They bleed capital during low-volume, sideways markets. This tool solves both problems with an Algorithmic Discipline Engine. It does not guess. It waits for the specific "Second Leg" criteria used by institutions and physically disables itself during dangerous market conditions. Key Features 1. The Context Dashboard (HUD) A professional Heads-Up Display in the top-right corner keeps you focused on the macro picture while you scalp. FLOW: Monitors the 20-period Institutional EMA. (Green = Bull Flow, Red = Bear Flow). You are prevented from trading against the dominant trend. STATE: A built-in "Volatility Compressor." If it says "⚠️ CHOP / RANGE", the algorithm is disabled. It protects you from overtrading during lunch hours or low-volume zones. SETUP: Live tracking of the Al Brooks leg count. It tells you exactly when the algorithm is "Waiting for Pullback" or "Searching for Entry." 2. Smart "Trap Avoidance" Logic (H2/L2) This tool uses the "Gold Standard" of scalping setups: The High 2 (H2) and Low 2 (L2). It ignores the first breakout attempt (Leg 1), acknowledging it as a potential trap. It waits for the pullback and only signals on the Second Leg, statistically increasing the probability of a successful trend resumption. 3. Volatility-Adaptive Risk Management Stop calculating pips in your head. The moment a signal is valid, the tool draws your business plan on the chart: Stop Loss (Red Line): Automatically placed behind the "Signal Bar" (the candle that created the setup) based on strict price action rules. Take Profit (Green Line): Automatically projected at a 1.5 Risk-to-Reward Ratio. Smart Adaptation: The targets expand and contract based on real-time market volatility. If the market is quiet, targets are tighter. If explosive, targets are wider. 4. The "Snap Entry" Signal The BUY and SELL badges are not lagging. They are programmed with "Stop Entry" logic—appearing the exact moment price breaks the structure of the Signal Bar, ensuring you enter on momentum, not hope. How to Trade Strategy Check the HUD: Ensure FLOW matches your direction and STATE says "✅ VOLATILE". Wait for the Badge: Do not front-run the tool. Wait for the BUY or SELL badge to print. Set Your Orders: Once the signal candle closes: Place your Stop Loss at the Red Line. Place your Take Profit at the Green Line. Walk Away: The trade is now a probability event. Let the math play out. Technical Specifications Engine: Pine Script v6 (Strict Compliance). Best Timeframes: 1m, 5m. Best Assets: Indices (NQ, ES), Gold (XAUUSD), and high-volume Crypto (BTC, ETH).Pine Script® 인디케이터jahigginsenterprises의47
Hotjaem SignalBuy and Sell signals based on MACD, RSI, and Moving Averages. Displays Golden Cross and Dead Cross for 5 and 20 Moving Averages. Updates in progress.Pine Script® 인디케이터Hotjaemin의업데이트됨 11
Killzones [Tradeuminati]Killzones is a precise TradingView indicator designed to display the most important institutional trading windows (“Killzones”) based strictly on New York local time. The indicator focuses on accurate session timing, automatic asset classification, and stable chart behavior without affecting price scale or candle colors. 🔹 Included Killzones (NY Local Time) London Killzone 02:00 – 05:00 New York Killzone (AM) Indices & Index CFDs: 09:30 – 11:00 All other assets (Forex, Crypto, Commodities such as Gold, DXY): 07:00 – 10:00 New York PM Killzone 14:00 – 15:00 🔹 Asset Logic (Fully Automatic & Locked) - Indices and Index CFDs are detected automatically - Forex, Crypto, Commodities (e.g. Gold/XAUUSD, DXY) always use the 07:00–10:00 New York Killzone - Stocks (Equities) are completely excluded → no lines, no table, no status display This ensures the indicator is purpose-built for intraday trading in highly liquid markets and intentionally not designed for stock charts. 🔹 Chart Visualization - Vertical session lines are drawn statically at the start of each New York trading day - Lines are not dependent on bar timestamps - No distortion of the price scale - Session lines are shown only on intraday timeframes below 4H - Line color, width, and style are fully adjustable 🔹 Status Table (Top Right) - Clear overview of all Killzones with start and end times - Live status indicator (green/red) based on the real current time (timenow), not the last printed candle - The table remains visible on all timeframes (except stocks) 🔹 Technical Highlights - Pure New York time–based logic, independent of chart timezone - No future-bar plotting - Stable across different brokers and CFD feeds - Does not interfere with other indicators or candle coloring ⚠️ Disclaimer This indicator is intended for technical analysis only and does not constitute trading or investment advice.Pine Script® 인디케이터DonauTrading의33
Quantum RCI FusionDescription: Overview: The Quantum Momentum Engine Quantum RCI Fusion is a sophisticated momentum oscillator designed to solve the #1 problem of classic indicators: false signals in sideways markets. At the core of this script is the Rank Correlation Index (RCI), a powerful statistical tool based on Spearman’s correlation. Unlike RSI or Stochastic which only look at price levels, the RCI evaluates the "quality" of a trend by measuring the temporal correlation of price ranks. This script is not just a line drawing: it is a complete trading ecosystem that fuses three RCI timeframes, volatility filters, and a real-time Risk Management simulation. 🛠 How It Works: The "Fusion" Logic The strength of this indicator lies in the synergy between its components. It is not a simple mashup, but a filtered logical system: Triple RCI Engine (Fast, Mid, Slow): Fast (13) & Mid (18): These generate the Crossover signal for precise entry timing. Slow (30) - The "Trend Shield": The true innovation. It acts as a directional shield; if the baseline is bullish, the script protects Long positions by ignoring premature exit signals, allowing you to ride the full trend. HMA Smoothing: Raw price data passes through a Hull Moving Average before the RCI calculation. This drastically reduces market "noise" without sacrificing the responsiveness typical of the RCI. Intelligent Filters (Anti-Whipsaw): ADX Integration: Signals are blocked if the ADX is below the threshold (default 20), preventing trading in flat/ranging markets. Momentum Impulse: Requires a minimum variation (Delta) in the RCI to confirm that the move has real drive and is not just random fluctuation. 🛡 Risk Management & Simulation Since timing is useless without risk management, Quantum RCI Fusion includes a Dashboard and sophisticated exit logic: Multiple Exits: Take Profit / Stop Loss: Based on dynamic ATR multipliers. Shield Break: Safety exit if the underlying trend (Slow RCI) changes direction. Emergency: Immediate close if momentum sharply reverses across the zero line. Live Dashboard: Monitors Win Rate, virtual PnL, and Trade Status (Long/Short/Scanning) in real-time directly on the chart, removing the need for external backtesters. 🚀 How to Use It Setup: Add the script to a separate pane below your price chart. Entry Signals: LONG (Green Triangle): RCI Fast crosses Mid upwards + Oversold Zone (< -80) + ADX > 20 + Bullish Shield. SHORT (Red Triangle): RCI Fast crosses Mid downwards + Overbought Zone (> 80) + ADX > 20 + Bearish Shield. Customization: Scalping: Reduce RCI lengths (e.g., 8/12/20) and disable the "Trend Shield" for quick entries and exits. Swing Trading: Keep defaults and use the ATR Trailing logic to manage positions on H4 or Daily timeframes. ⚖️ Notes & Credits Originality: This script enhances the standard RCI by implementing Array-based calculations (optimized for Pine v6), proprietary HMA smoothing, and unique "Trend Shield" logic. Open Source: The code is released under the MPL 2.0 license. Credits to the Pine community for the foundational mathematical formulas of Spearman's correlation. Disclaimer: The statistics shown in the dashboard are simulations based on live data and do not guarantee future profits. You are responsible for your own trading decisions. 🖼 Instructions for the Publication Chart (Preview) To ensure your script gets approved and attracts users, follow these steps for the cover image: Symbol: Use a volatile and liquid asset, e.g., BTCUSD or XAUUSD (Gold), on a 1H or 4H timeframe. Clean Layout: Remove all other indicators from the chart (no Moving Averages on price, no Bollinger Bands). The focus must be solely on your script in the bottom pane. Visualization: Ensure the Dashboard (stats table) is clearly visible and does not obscure the most recent candle. The chart should show at least one clear BUY and one clear SELL signal, ideally with the exit icons (the "X" or flags) visible to demonstrate the exit logic. Pine Script® 인디케이터mentalExpert19609의54
Adaptive Bull Ratio Strategy█ Overview: Why This Strategy Most option strategies fall into two traps: They are too rigid: A "Call Ratio Spread" works great in slow markets but gets destroyed if the market rallies hard. They are too simple: A simple "Buy Call" suffers from time decay (Theta) if the market chops sideways. The Adaptive Bull Ratio Strategy solves both . It is a living strategy that "shifts gears" based on price action. It is called "Adaptive" because it morphs its structure three times during a trade. It starts conservative to harvest Time Decay, but if the market explodes upwards, it "uncaps" itself to ride the trend aggressively. █ The Entry Philosophy: Why Supertrend? The default setting uses the Supertrend indicator as the trigger. This is intentional: Volatility Awareness: Supertrend adapts to market noise using ATR. In high volatility, bands widen to prevent false entries. Trend Confirmation: Since Phase 1 involves selling options, entering "too early" against a falling market is dangerous. Supertrend forces patience, waiting for a confirmed reversal (Close > Trend Line), ensuring the momentum is actually in your favor before you commit capital. The "Drift" Benefit: This strategy excels in markets that "drift" upwards. Supertrend identifies these trends while filtering out short-term chop. Flexibility with External Sources: While Supertrend is the default, the strategy is designed to be flexible. You can enable the 'Enable External Source' option in the settings to plug in any custom indicator (e.g., Moving Averages, Parabolic SAR, or a proprietary trendline). The Golden Rule for External Sources: The script interprets a Bullish Signal whenever your External Source line is below the Close price (Ext Source < Close). Compatibility: As long as your custom indicator behaves like a support line in an uptrend (plotting below the candles), it will work seamlessly with this strategy's logic. █ The "Long Only" Rationale: Avoiding the Volatility Trap Why not trade this on the short side (Puts) during crashes? The Volatility Trap (Vega Risk): In Bull markets, Implied Volatility (IV) usually drops, helping your sold options decay faster. In Bear markets, IV explodes (panic). Selling OTM Puts during a crash is dangerous as their value skyrockets, neutralizing gains. Velocity Risk: Bear markets crash fast ("Elevator Down"). Prices can blow through adjustment levels faster than the strategy can safely roll down, causing slippage. Structural Skew: OTM Puts are inherently more expensive. Buying expensive ITM Puts and selling expensive OTM Puts shifts the breakeven further away, making V-shape recoveries painful. █ How It Works & Stands Out This strategy actively transforms risk profiles based on market movement: Phase 1: The "Safe" Start (Entry) Setup: Initiates a Call Ratio Spread (Buy 2 ITM, Sell 4 OTM) + Protective Puts. Logic: Profits from sideways drift or slow rallies via Time Decay (Theta). The sold options finance the trade. Phase 2: The "Shift" (Adjustment Level 1) Trigger: Market moves above Leg 2 (3 OTM Call). Action: Rolls Up the position. Exits initial legs, enters new higher legs, and adds a Short Put to finance the roll. Impact: Aggressive. You bet the trend is strong enough to support the added downside risk of the short put. Phase 3: The "Uncap" (Adjustment Level 2) Trigger: Market moves above Leg 3 (4 OTM Call). Action: Exits all Sold Calls. Impact: Uncaps profit potential. The trade becomes a Net Long position (Long Calls + Short Puts), allowing you to ride a massive rally without a ceiling. Phase 4: The "Lock-In" (Optional Trail Adjustment) Trigger: The market goes parabolic (price rises X levels above Leg 3, configurable in settings). Action (If Enabled): Call Adj: Exits the Phase 3 calls and buys fresh 1-OTM calls (Rolling Up to lock profits). Put Adj: Exits all Put legs (Removing downside risk completely). Impact: Maximum Safety. This phase is about "banking" the windfall from a massive rally and leaving a smaller, risk-free runner to capture any final extension. █ How to Start: A Quick Setup Guide Step 1: Map Expiry Dates Manually input your trading expiry dates in Settings -> Expiry Management. Format: YYYY-MM-DD (e.g., 2025-12-25). Strict adherence required for DhanHQ. Step 2: Configure Symbol & Size Exchange/Symbol: Enter NSE and NIFTY (or your ticker). Lot Multiplier: Default is 1. Set to 2 to double all quantities (e.g., Buy 2 becomes Buy 4). Step 3: Understand Visuals Entry Window (Light Blue): Strategy is scanning for new trades. Non-Entry Window (Dark Blue): Trading blocked (Day before Expiry & Expiry Day). Only management allowed. Green Box: Valid Late Entry Zone. Red Dashed Line: Invalidation Level (if price touches this, no late entry). Fuchsia Line: Trigger level for Special Trail Adjustments (Phase 4). IMPORTANT: Broker & Technology Heads-Up: The alerts generated by this script ({"secret": "...", "alertType": "multi_leg_order"...}) are specifically formatted for the DhanHQ webhook structure. Dhan Users: Plug-and-play. Other Brokers: You need middleware (NextLevelBot, Quantiply) to parse the JSON. █ Risk Disclaimer & Advice Trading options involves substantial risk. The Whipsaw Risk: In Phase 2, you are Long Calls and Short Puts. A sharp reversal causes losses on both sides. Margin: Selling options requires significant margin. Keep a 15-20% cash buffer to handle adjustments instantly. Testing: This strategy is optimized for NIFTY Weekly Options. Effectiveness on BankNifty or Stocks is untested and may require parameter tuning. Advice: Backtest: Use TradingView Replay. Paper Trade: Run for at least one expiry cycle before live deployment. Consult: Seek professional financial advice before trading. Practical Tips for Smooth Execution For a new trader deploying this system, these operational tips are vital: Capital Buffer: Do not trade at your limit. Always keep 10-15% free cash in your broker account. Adjustments (specifically Phase 2, where you sell an extra Put) require additional margin instantly. If margin is short, the order fails, and your hedge breaks. Liquidity Awareness : The script trades "Far Deep OTM" options (Leg 4) to reduce margin. On indices like Nifty/BankNifty, this is fine. On individual stocks, these deep strikes might be illiquid. Check the option chain volume before deploying on stocks. Trust the Process (but Verify) : While the algo drives, you are the pilot. Check your API connection every morning. Ensure the "Entry Window" background color on the chart matches your real-world date. Verify that your broker executed all legs of a multi-leg order (partial fills are rare but possible). The "Human" Stop: If major news breaks (e.g., unexpected election results, war announcements), volatility can expand faster than any algo can react. It is acceptable—and smart—to pause the strategy during known "Black Swan" events or earnings releases. █ Timeframe Selection: The 30-Minute Standard Critical Requirement: This indicator must be applied to a 30-minute chart. Why? Noise Filtering: The Supertrend logic is tuned to capture multi-day trends. Lower timeframes (5m, 15m) are full of "noise"—random fluctuations that look like trend changes but aren't. Execution Logic (The Hybrid Engine): The script has a built-in "Dual Timeframe" architecture. Decision Layer (30m): Uses the chart timeframe to decide when to be Bullish or Bearish. Execution Layer (5m): Internally fetches 5-minute data to manage the how (Adjustments, Late Entries, and precise invalidation). The Risk of Lower Timeframes: If you run the main chart on 5-minutes, you destroy this hierarchy. You will get too many signals, pay too much brokerage, and the internal logic may behave erratically. Recommendation: Always keep your TradingView chart interval at 30m. Do not switch to lower timeframes expecting "faster" signals; you will likely just get "false" signals. █ Testing Scope, Feedback ⚠️ Important Note on Asset Classes: This strategy logic and the associated strike step calculations have been rigorously tested ONLY on NIFTY Index Options with Weekly Expiry. BankNifty / Sensex / FinNifty: The volatility characteristics (ATR) and strike intervals of these instruments differ significantly from NIFTY. The effectiveness of this strategy on these other scripts has not been verified and may require different parameter tuning (e.g., strike_step or ATR Length). Stocks: Individual stock options often lack the liquidity required for the "Deep OTM" legs, leading to potential execution failures. We encourage traders to backtest this logic on other indices and share their findings! If you find a robust parameter set for BankNifty or observe unique behaviors on other scripts, please let us know in the comments below so we can improve the algorithm for everyone. Your feedback is appriciated.Pine Script® 인디케이터TradeWiseWithEase의44552
Friendly IT Algo System_2026Friendly IT Algo System V1 is a comprehensive trend-following system that combines SMC (Smart Money Concepts) order blocks with powerful volume filters. 🧠 Key Features: Smart Trend Signals: EMA 7/20 crossover filtered by market energy. SMC Order Blocks: Automated key supply/demand zones. Regular Divergence: RSI-based trend reversal tracking. Auto Fib & Pivot: Displays 0.618 golden level and pivot S/R. Sideways Filter: ADX-based gray background to avoid choppy markets.Pine Script® 인디케이터mijookok의3333
Mod_Capital MA 50 & MA 200 🔥 WHY ARE MA 50 AND MA 200 SO IMPORTANT? These two moving averages are the key reference levels used by institutions, banks, and hedge funds to analyze the market. 📌 MA 50 Represents the medium-term trend Acts as an active trading zone Often holds price during pullbacks and corrections 📌 MA 200 Represents the long-term trend Shows the overall market “health” A major reference level for investors 🟢 Golden Cross & 🔴 Death Cross 🟢 Golden Cross When MA 50 crosses above MA 200 → A long-term bullish signal 🔴 Death Cross When MA 50 crosses below MA 200 → A long-term bearish signalPine Script® 인디케이터Suhrop_Trade의21
[ST] Flow CandlesThis indicator does not generate buy or sell signals. It translates the current market state into colors, allowing for fast and clean visual reading. The logic is simple: RSI + slope → show how the market is moving right now (flow). Relative volume → indicates how much conviction is behind that movement. LSVI (relative volatility) → defines when continuation is allowed, avoiding entries during chaotic volatility expansions. Color interpretation: Gray → neutral market / no clear asymmetry. Neon green → strong bullish trend, confirmed by volume. Strong red → strong bearish trend, confirmed by volume. Gold → continuation allowed after a spike (volatility compression + flow still active). This indicator was designed to work alongside SMC, Liquidity and FVG, acting as a flow and timing reader, not as an automatic entry system. SMC shows where. Volume shows effort. Colors show flow. Gold shows timing.Pine Script® 인디케이터cfsumbach의업데이트됨 41
Ichimoku With GradingDescription: This indicator is an enhanced version of the classic Ichimoku Kinko Hyo, designed to provide traders with an objective, quantitative assessment of trend strength. By breaking down the complex Ichimoku system into specific conditions, this script calculates a "Total Score" to help visualize the confluence of bullish or bearish signals. How It Works The core of this script is a 7-Point Grading System. Instead of relying on a single crossover, the script evaluates 7 distinct Ichimoku conditions simultaneously. The Grading Criteria: Tenkan > Kijun: Checks for the classic TK Cross (1 point if Bullish, -1 if Bearish). Price vs TK/KJ: Checks if the Close is above both the Tenkan and Kijun (Bullish) or below both (Bearish). Future Cloud: Analyzes the Kumo (Cloud) projected 26 bars ahead. If Senkou Span A > Senkou Span B, it is bullish. Chikou Span: The Lagging Span validation. It compares the current Close to the Highs, Lows, and Cloud levels of 26 bars ago to ensure there are no obstacles. Close > Tenkan: Checks immediate short-term momentum. Close > Current Senkou Span A: Checks if price is above the current cloud's Span A. Close > Current Senkou Span B: Checks if price is above the current cloud's Span B. Total Score & Signals: Maximum Score (+7): When all 7 conditions are met, a Green Triangle is plotted above the bar, indicating a strong trend confluence. Minimum Score (-7): When all 7 conditions are negative, a Red Triangle is plotted below the bar. Neutral/Mixed: Scores between -6 and +6 indicate a mixed trend or consolidation phase. Dashboard Features A table is displayed in the top-right corner to provide real-time data: Score Breakdown: Shows the status of every individual metric (1 or -1). Total Score: The sum of all metrics. Distance to Tenkan %: This calculates the percentage distance between the Close and the Tenkan-sen. Usage: Traders often use the Tenkan-sen as a trailing stop-loss level. This percentage helps gauge how extended the price is from the mean; a high percentage may indicate an overextended move, while a low percentage indicates a tight consolidation. How to Use Ichimoku Lines Beyond the grading system, this indicator plots the standard Ichimoku lines, which are powerful tools for price action analysis: Support & Resistance: The Tenkan-sen (Conversion Line) and Kijun-sen (Base Line) act as dynamic support and resistance levels. In a strong trend, price will often respect the Tenkan-sen. In a moderate trend, it may pull back to the Kijun-sen before continuing. The Kumo (Cloud): The edges of the current cloud (Senkou Span A and B) act as major support and resistance zones. A thick cloud represents strong S/R, while a thin cloud is easily broken. Trend Identification: Generally, if the price is above the Cloud, the trend is bullish. If below, it is bearish. If the price is inside the Cloud, the market is considered to be in a noise/ranging zone. Screenshots 1. Bitcoin Daily View: Here you can see the dashboard in action. The grading system helps filter out noise by requiring all conditions to align before generating a signal. 2. Gold (XAUUSD) Example: An example of a bearish confluence where the score hit -7, triggering a sell signal as the price broke through all Ichimoku support levels. 3. Euro (EURUSD) Mixed State: This example shows a market in transition. While some metrics are positive (Green), others are negative (Red), resulting in a score of 4. This prevents premature entries during choppy market conditions. Settings Lengths: All Ichimoku periods (Tenkan, Kijun, Senkou B, Displacement) are fully customizable in the settings menu to fit your preferred timeframe or trading style (e.g., Doubled settings for crypto). Disclaimer: This tool is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk.Pine Script® 인디케이터abgthecoder의15
First Opening Price of the YearOverview This indicator identifies and plots the opening price of the first trading session of the calendar year. The "Yearly Open" is a significant psychological level for traders and institutions, often serving as a major pivot point for the entire year's trend. How it Works The script utilizes Pine Script v5's persistent variables to track the year change. Detection: It compares the current bar's year (year) with the previous bar's year (year ). Storage: When a discrepancy is found (indicating a new year has started), the script captures the open price of that specific bar. Persistence: Using the var keyword, this price is stored in memory and carried forward for every subsequent bar of the year without being recalculated. Visualization: The price is plotted as a series of blue crosses (style_cross) to clearly mark the level on the chart. Chart Analysis & Examples The following examples demonstrate how this simple level dictates market structure across different assets: Historical Pivot Points (S&P 500): This chart demonstrates how the Yearly Open acts as a critical pivot. Notice in 2022 how price struggled around the open before dropping, while in 2023 and 2024, the yearly open provided a solid base for the subsequent rallies. Trend Confirmation (Bitcoin): In strong trending markets, the Yearly Open serves as a trailing support. As seen in this Bitcoin example, price maintaining its position above the blue line confirms a sustained bullish bias for the year, acting as a "floor" for the trend. Market Structure & Bias (Gold): This example highlights the "Line in the Sand" concept. The indicator clearly marks the starting point of the year, allowing traders to instantly gauge if the asset is net positive or negative year-to-date. It filters out the noise and focuses on the macro direction. How to Use Traders can use this indicator to determine the higher-timeframe bias: Bullish Bias: When the current price is trading above the blue crosses, the market is considered to be positive relative to the start of the year. Bearish Bias: When the current price is trading below the blue crosses, the market is negative relative to the start of the year. Settings This script is "plug and play" and requires no manual input adjustments. It automatically detects the timeframe and year changes based on the chart data provided. Disclaimer This tool is for informational purposes only and DOES NOT constitute financial advice. Always manage your risk appropriately. Pine Script® 인디케이터abgthecoder의10
Silver Projection DivergenceSILVER PROJECTION DIVERGENCE Standardized Fair Value Divergence Oscillator OVERVIEW The Silver Projection Divergence oscillator is the companion indicator to the Silver Macro Projection Model. It quantifies the gap between silver's actual price and its projected fair value, displaying this divergence as a standardized z-score. This format makes it easier to identify extreme conditions and time entries/exits based on mean reversion. HOW IT WORKS The oscillator converts raw divergence (Actual Silver - Projected Silver) to a z-score by normalizing against its historical distribution: Z-Score > 0 - Silver trading ABOVE projected value (overvalued) Z-Score < 0 - Silver trading BELOW projected value (undervalued) Z-Score > 2 - Extreme condition (2 standard deviations) VISUAL ELEMENTS Main Plot Green line/histogram - Negative divergence (undervalued) Red line/histogram - Positive divergence (overvalued) Color intensity increases when divergence is expanding Reference Lines +2 sigma / -2 sigma (dashed) - Extreme zones +1 sigma / -1 sigma (dotted) - Moderate deviation Zero line - Fair value equilibrium Signal Markers Green Triangle (bottom) - Z-score crosses below -2 (STRONG BUY) Red Triangle (top) - Z-score crosses above +2 (STRONG SELL) Background Light red background - Extreme overvaluation (Z > 2) Light green background - Extreme undervaluation (Z < -2) SIGNAL INTERPRETATION Z > +2.0 - Extreme Overvaluation - STRONG SELL / Take profits Z +1.0 to +2.0 - Moderate Overvaluation - Caution / Reduce exposure Z -1.0 to +1.0 - Fair Value Range - Neutral / Hold Z -2.0 to -1.0 - Moderate Undervaluation - Accumulate / Scale in Z < -2.0 - Extreme Undervaluation - STRONG BUY signal COMPONENT TABLE The bottom-right table breaks down divergence by factor: Gold Ratio - Deviation from gold-implied fair value M2 Supply - Divergence from monetary-implied value DXY Signal - Dollar strength bullish/bearish indication Equities - Equity market positioning signal OVERALL - Combined signal with Z-score TRADING APPLICATIONS Mean Reversion Strategy Enter LONG when Z < -2 and begins rising Enter SHORT when Z > +2 and begins falling Use zero-line crossings for trend confirmation Trend Following Filter Only take long trades when Z < 0 (undervalued) Only take short trades when Z > 0 (overvalued) Divergence Confirmation Bearish: Price makes new highs while Z-score makes lower highs Bullish: Price makes new lows while Z-score makes higher lows ALERTS Extreme Undervaluation - Z crosses below -2 Extreme Overvaluation - Z crosses above +2 Divergence Turned Positive - Crossed above zero Divergence Turned Negative - Crossed below zero COMBINED USAGE For best results, use both with Silver Macro Projection Model - indicator: Main Indicator - Visual context of actual vs. projected on price chart Divergence Oscillator - Precise measurement for timing decisions The main indicator (Silver Macro Projection Model - ) shows where silver should be; this oscillator shows how extreme the mispricing is and when to act. Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.Pine Script® 인디케이터bigcitytom의26
Silver Macro Projection ModelSILVER MACRO PROJECTION MODEL Multi-Factor Fair Value Estimation for Silver OVERVIEW The Silver Macro Projection Model estimates silver's fair value based on its historical relationships with key macroeconomic drivers. By synthesizing data from gold, M2 money supply, the US Dollar Index, and major equity indices, this indicator projects where silver should theoretically be trading, helping traders identify potential overvaluation and undervaluation conditions. HOW IT WORKS This indicator employs three complementary projection methodologies: Correlation-Weighted Z-Score Composite (50% weight) - Calculates rolling correlations between silver and each input factor. Factors with stronger correlations receive more influence. Each factor is normalized to a z-score, combined into a composite, then converted back to silver's price scale. Gold/Silver Ratio Mean Reversion (35% weight) - The gold/silver ratio historically exhibits mean-reverting behavior. This component projects silver's implied price based on current gold prices and the historical average ratio. M2 Money Supply Relationship (15% weight) - Silver tracks monetary expansion over long time horizons. This anchors the projection to the fundamental relationship between silver and the monetary base. INPUT FACTORS Gold - Strong Positive - Precious metals move together; silver amplifies gold M2 Supply - Positive - Inflation hedge; expands with monetary base DXY - Negative - Dollar strength pressures commodity prices S&P 500 - Variable - Risk sentiment indicator Dow Jones - Variable - Industrial/economic health proxy Nasdaq 100 - Variable - Growth/risk appetite indicator Russell 2000 - Variable - Small-cap risk sentiment VISUAL ELEMENTS Silver Line (Gray) - Actual silver price Yellow Line - Model's projected fair value Green Fill - Silver trading BELOW projection (potentially undervalued) Red Fill - Silver trading ABOVE projection (potentially overvalued) INFORMATION TABLE The indicator displays a real-time panel showing: Current correlation coefficients for each factor Dynamic weight allocation based on correlation strength Z-scores for each input factor Actual vs. projected silver price Percentage divergence from fair value Signal classification (Strong Buy to Strong Sell) SETTINGS Lookback Settings Correlation Period (default: 60) - Bars used for rolling correlations Regression Period (default: 120) - Bars for z-score normalization Smoothing Period (default: 10) - EMA smoothing on projection Weight Settings Use Auto Correlation Weights - Weights adjust dynamically based on correlation strength Manual Weights - Override with custom factor weights ALERTS Silver Extremely Undervalued (Z < -2) Silver Extremely Overvalued (Z > +2) Price crossed above projection Price crossed below projection BEST PRACTICES Use on daily timeframe for most reliable signals Combine with the companion Divergence Oscillator for timing Extreme divergences (>2 sigma) historically precede mean reversion Consider macro environment as correlations shift during different regimes Longer regression periods (150-250) for investing; shorter (60-90) for trading Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Always use proper risk management.Pine Script® 인디케이터bigcitytom의19
Chainbey Ai - HTF Trend Matrix (Clean)Chainbey Ai – HTF Trend Matrix is a professional, higher-timeframe trend detection indicator designed to give traders a clean, reliable market bias, regardless of the chart timeframe they are trading on. This indicator automatically analyzes multiple higher timeframes (HTFs) and combines: EMA trend direction Trend strength (ADX) Market structure (trend vs range) Trend disagreement across HTFs Reversal probability estimation All results are displayed in a compact table at the bottom-right, making it perfect for scalpers, day traders, and swing traders who need fast, decision-ready information. 🧠 What This Indicator Solves ❌ No more guessing the higher-timeframe trend ❌ No more trading against the main market bias ❌ No more confusion between trend vs range ✅ Clear BULLISH / BEARISH / RANGE bias ✅ Strength score to avoid weak trends ✅ Reversal probability to manage risk 📊 How to Read the Table (User Manual) 🔹 FINAL Row Example: FINAL | BEARISH TREND | -46 Text (BEARISH / BULLISH / RANGE) → Overall market bias Number (-46) → Trend Strength Score Trend Score Guide: Score Meaning 0 to ±20 No trend / Choppy ±20 to ±40 Weak trend ±40 to ±70 Healthy trend ±70+ Very strong / extended trend 📌 Negative = Bearish 📌 Positive = Bullish 🔹 REVERSAL – Possibility (%) Example: REVERSAL | Possibility | 45% This shows the chance of trend exhaustion or reversal. Reversal % Meaning 0–30% Strong trend continuation 30–50% Normal pullback risk 50%+ High reversal probability 70%+ Dangerous to chase trades 📌 Use this to avoid late entries. 🔹 HTF Rows (60 / 240 / D) Each row shows: DIR / STRUCT Direction from EMA trend Market structure (TREND / RANGE) ADX Trend strength STRONG / MEDIUM / CHOP 📌 If multiple HTFs agree → higher confidence 📌 If HTFs conflict → reduce position size or wait 🛠 Recommended Trading Usage ✅ Best Practices Trade in the direction of FINAL trend Enter on pullbacks, not breakouts Use lower timeframes only for entries ❌ Avoid Trading against FINAL bias Chasing trades when reversal % is high Over-leveraging in CHOP conditions 🎯 Ideal For Crypto traders (Spot & Futures) Forex traders Gold / Commodity traders Scalping, Intraday & Swing trading ⚠️ Disclaimer This indicator is a decision-support tool, not financial advice. Always combine it with proper risk management, confirmations, and your trading plan.Pine Script® 인디케이터msurubel1의업데이트됨 55 1 K
Swiss Army Knife Multi-ToolMulti-Tools is a comprehensive trading indicator suite designed to streamline your chart analysis by combining six essential tools into one powerful, customizable package. Whether you're day trading futures, swing trading stocks, or scalping forex, this indicator provides the key reference points and signals you need—all without cluttering your chart. 🎯 Included Tools 1. Big Round Numbers (BRN) Automatically plots psychological price levels that institutions and retail traders alike tend to watch. These levels often act as magnets for price or create support/resistance zones. Customizable increment spacing (100, 50, 25, etc.) Half and quarter level options Adjustable number of levels displayed 2. HTF Moving Averages A complete multi-period moving average suite with trend alignment detection. 5 customizable periods (default: 9, 21, 50, 100, 200) Multiple MA types: EMA, SMA, WMA, VWMA, HMA, DEMA Visual ribbon fill option Golden/Death cross signals Real-time alignment status in dashboard 3. Stop Finder Intelligent stop loss calculation using two methodologies: ATR-Based Stops: Dynamic stops that adapt to current volatility Swing-Based Stops: Stops placed below recent swing lows (longs) or above swing highs (shorts) Customizable ATR period and multiplier 4. Target Finder Risk:Reward-based take profit levels calculated from your stop distance. Three customizable R:R targets (default: 1R, 2R, 3R) Visual plot options (circles, lines, step lines) Real-time calculations in the dashboard 5. Uni Zones (Supply/Demand) Identifies consolidation zones and potential breakout opportunities. Basing bar detection based on body-to-range ratio Breakout signals when price exits the zone Background highlighting during active basing periods 6. Money Flow Index (MFI) Volume-weighted momentum oscillator to identify potential exhaustion points. Overbought/Oversold highlighting Customizable threshold levels Background color alerts for extreme readings 📊 Information Dashboard A clean, customizable dashboard displays real-time values: MA trend alignment status Price position relative to 200 MA Nearest round number and distance Current ATR value in price and ticks Suggested stop loss and take profit levels MFI status and value Active basing zone detectionPine Script® 인디케이터Making_Trades_Matter의13
Chainbey Ai - Swing High/Low Range📈 Chainbey Ai – Swing High / Swing Low Range Chainbey Ai – Swing High / Swing Low Range is a clean and powerful market-structure indicator designed to automatically identify key swing levels and visualize the active price range on any chart. This tool helps traders clearly see where price is reacting, consolidating, or preparing for a breakout. 🔹 What This Indicator Does ✔ Automatically detects the latest confirmed Swing High ✔ Automatically detects the latest confirmed Swing Low ✔ Draws horizontal levels for both swings ✔ Labels levels clearly as “Swing High” and “Swing Low” ✔ Highlights the range between swings using a background fill ✔ Updates dynamically as new market structure forms 🔹 Why It’s Useful Identify support & resistance without manual drawing Visualize consolidation zones instantly Spot breakout and fake-out areas faster Ideal for range trading, breakout trading, and trend confirmation Works perfectly with price action, volume, and order-flow concepts 🔹 Best Use Cases Crypto (Spot & Futures) Forex Indices Commodities (Gold, Silver, Oil) Timeframes: Works on all timeframes (especially strong on 15M, 30M, 1H) 🔹 How to Trade With It Buy bias when price holds above Swing Low inside the range Sell bias when price rejects from Swing High Breakout confirmation when price closes strongly outside the range Combine with volume, momentum, or liquidity concepts for higher accuracy 🔹 Customization Adjust Swing Length to control sensitivity Enable/disable range background fill Customize colors and transparency Extend swing levels to the right for forward guidance ⚠️ Disclaimer This indicator is a technical analysis tool, not financial advice. Always manage risk and confirm signals with your own strategy. 🔗 Built by Chainbey Ai Smart Structure • Clean Levels • Clear Ranges 🚀Pine Script® 인디케이터msurubel1의업데이트됨 82
DeeptestDeeptest: Quantitative Backtesting Library for Pine Script ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ OVERVIEW Deeptest is a Pine Script library that provides quantitative analysis tools for strategy backtesting. It calculates over 100 statistical metrics including risk-adjusted return ratios (Sharpe, Sortino, Calmar), drawdown analysis, Value at Risk (VaR), Conditional VaR, and performs Monte Carlo simulation and Walk-Forward Analysis. █ WHY THIS LIBRARY MATTERS Pine Script is a simple yet effective coding language for algorithmic and quantitative trading. Its accessibility enables traders to quickly prototype and test ideas directly within TradingView. However, the built-in strategy tester provides only basic metrics (net profit, win rate, drawdown), which is often insufficient for serious strategy evaluation. Due to this limitation, many traders migrate to alternative backtesting platforms that offer comprehensive analytics. These platforms require other language programming knowledge, environment setup, and significant time investment—often just to test a simple trading idea. Deeptest bridges this gap by bringing institutional-level quantitative analytics directly to Pine Script. Traders can now perform sophisticated analysis without leaving TradingView or learning complex external platforms. All calculations are derived from strategy.closedtrades.* , ensuring compatibility with any existing Pine Script strategy. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY AND USEFULNESS This library is original work that adds value to the TradingView community in the following ways: 1. Comprehensive Metric Suite: Implements 112+ statistical calculations in a single library, including advanced metrics not available in TradingView's built-in tester (p-value, Z-score, Skewness, Kurtosis, Risk of Ruin). 2. Monte Carlo Simulation: Implements trade-sequence randomization to stress-test strategy robustness by simulating 1000+ alternative equity curves. 3. Walk-Forward Analysis: Divides historical data into rolling in-sample and out-of-sample windows to detect overfitting by comparing training vs. testing performance. 4. Rolling Window Statistics: Calculates time-varying Sharpe, Sortino, and Expectancy to analyze metric consistency throughout the backtest period. 5. Interactive Table Display: Renders professional-grade tables with color-coded thresholds, tooltips explaining each metric, and period analysis cards for drawdowns/trades. 6. Benchmark Comparison: Automatically fetches S&P 500 data to calculate Alpha, Beta, and R-squared, enabling objective assessment of strategy skill vs. passive investing. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ KEY FEATURES Performance Metrics Net Profit, CAGR, Monthly Return, Expectancy Profit Factor, Payoff Ratio, Sample Size Compounding Effect Analysis Risk Metrics Sharpe Ratio, Sortino Ratio, Calmar Ratio (MAR) Martin Ratio, Ulcer Index Max Drawdown, Average Drawdown, Drawdown Duration Risk of Ruin, R-squared (equity curve linearity) Statistical Distribution Value at Risk (VaR 95%), Conditional VaR Skewness (return asymmetry) Kurtosis (tail fatness) Z-Score, p-value (statistical significance testing) Trade Analysis Win Rate, Breakeven Rate, Loss Rate Average Trade Duration, Time in Market Consecutive Win/Loss Streaks with Expected values Top/Worst Trades with R-multiple tracking Advanced Analytics Monte Carlo Simulation (1000+ iterations) Walk-Forward Analysis (rolling windows) Rolling Statistics (time-varying metrics) Out-of-Sample Testing Benchmark Comparison Alpha (excess return vs. benchmark) Beta (systematic risk correlation) Buy & Hold comparison R-squared vs. benchmark ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ QUICK START Basic Usage //@version=6 strategy("My Strategy", overlay=true) // Import the library import Fractalyst/Deeptest/1 as * // Your strategy logic fastMA = ta.sma(close, 10) slowMA = ta.sma(close, 30) if ta.crossover(fastMA, slowMA) strategy.entry("Long", strategy.long) if ta.crossunder(fastMA, slowMA) strategy.close("Long") // Run the analysis DT.runDeeptest() ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ METRIC EXPLANATIONS The Deeptest table displays 23 metrics across the main row, with 23 additional metrics in the complementary row. Each metric includes detailed tooltips accessible by hovering over the value. Main Row — Performance Metrics (Columns 0-6) Net Profit — (Final Equity - Initial Capital) / Initial Capital × 100 — >20%: Excellent, >0%: Profitable, <0%: Loss — Total return percentage over entire backtest period Payoff Ratio — Average Win / Average Loss — >1.5: Excellent, >1.0: Good, <1.0: Losses exceed wins — Average winning trade size relative to average losing trade. Breakeven win rate = 100% / (1 + Payoff) Sample Size — Count of closed trades — >=30: Statistically valid, <30: Insufficient data — Number of completed trades. Includes 95% confidence interval for win rate in tooltip Profit Factor — Gross Profit / Gross Loss — >=1.5: Excellent, >1.0: Profitable, <1.0: Losing — Ratio of total winnings to total losses. Uses absolute values unlike payoff ratio CAGR — (Final / Initial)^(365.25 / Days) - 1 — >=10%: Excellent, >0%: Positive growth — Compound Annual Growth Rate - annualized return accounting for compounding Expectancy — Sum of all returns / Trade count — >0.20%: Excellent, >0%: Positive edge — Average return per trade as percentage. Positive expectancy indicates profitable edge Monthly Return — Net Profit / (Months in test) — >0%: Profitable month average — Average monthly return. Geometric monthly also shown in tooltip Main Row — Trade Statistics (Columns 7-14) Avg Duration — Average time in position per trade — Mean holding period from entry to exit. Influenced by timeframe and trading style Max CW — Longest consecutive winning streak — Maximum consecutive wins. Expected value = ln(trades) / ln(1/winRate) Max CL — Longest consecutive losing streak — Maximum consecutive losses. Important for psychological risk tolerance Win Rate — Wins / Total Trades — Higher is better — Percentage of profitable trades. Breakeven win rate shown in tooltip BE Rate — Breakeven Trades / Total Trades — Lower is better — Percentage of trades that broke even (neither profit nor loss) Loss Rate — Losses / Total Trades — Lower is better — Percentage of unprofitable trades. Together with win rate and BE rate, sums to 100% Frequency — Trades per month — Trading activity level. Displays intelligently (e.g., "12/mo", "1.5/wk", "3/day") Exposure — Time in market / Total time × 100 — Lower = less risk — Percentage of time the strategy had open positions Main Row — Risk Metrics (Columns 15-22) Sharpe Ratio — (Return - Rf) / StdDev × sqrt(Periods) — >=3: Excellent, >=2: Good, >=1: Fair, <1: Poor — Measures risk-adjusted return using total volatility. Annualized using sqrt(252) for daily Sortino Ratio — (Return - Rf) / DownsideDev × sqrt(Periods) — >=2: Excellent, >=1: Good, <1: Needs improvement — Similar to Sharpe but only penalizes downside volatility. Can be higher than Sharpe Max DD — (Peak - Trough) / Peak × 100 — <5%: Excellent, 5-15%: Moderate, 15-30%: High, >30%: Severe — Largest peak-to-trough decline in equity. Critical for risk tolerance and position sizing RoR — Risk of Ruin probability — <1%: Excellent, 1-5%: Acceptable, 5-10%: Elevated, >10%: Dangerous — Probability of losing entire trading account based on win rate and payoff ratio R² — R-squared of equity curve vs. time — >=0.95: Excellent, 0.90-0.95: Good, 0.80-0.90: Moderate, <0.80: Erratic — Coefficient of determination measuring linearity of equity growth MAR — CAGR / |Max Drawdown| — Higher is better, negative = bad — Calmar Ratio. Reward relative to worst-case loss. Negative if max DD exceeds CAGR CVaR — Average of returns below VaR threshold — Lower absolute is better — Conditional Value at Risk (Expected Shortfall). Average loss in worst 5% of outcomes p-value — Binomial test probability — <0.05: Significant, 0.05-0.10: Marginal, >0.10: Likely random — Probability that observed results are due to chance. Low p-value means statistically significant edge Complementary Row — Extended Metrics Compounding — (Compounded Return / Total Return) × 100 — Percentage of total profit attributable to compounding (position sizing) Avg Win — Sum of wins / Win count — Average profitable trade return in percentage Avg Trade — Sum of all returns / Total trades — Same as Expectancy (Column 5). Displayed here for convenience Avg Loss — Sum of losses / Loss count — Average unprofitable trade return in percentage (negative value) Martin Ratio — CAGR / Ulcer Index — Similar to Calmar but uses Ulcer Index instead of Max DD Rolling Expectancy — Mean of rolling window expectancies — Average expectancy calculated across rolling windows. Shows consistency of edge Avg W Dur — Avg duration of winning trades — Average time from entry to exit for winning trades only Max Eq — Highest equity value reached — Peak equity achieved during backtest Min Eq — Lowest equity value reached — Trough equity point. Important for understanding worst-case absolute loss Buy & Hold — (Close_last / Close_first - 1) × 100 — >0%: Passive profit — Return of simply buying and holding the asset from backtest start to end Alpha — Strategy CAGR - Benchmark CAGR — >0: Has skill (beats benchmark) — Excess return above passive benchmark. Positive alpha indicates genuine value-added skill Beta — Covariance(Strategy, Benchmark) / Variance(Benchmark) — <1: Less volatile than market, >1: More volatile — Systematic risk correlation with benchmark Avg L Dur — Avg duration of losing trades — Average time from entry to exit for losing trades only Rolling Sharpe/Sortino — Dynamic based on win rate — >2: Good consistency — Rolling metric across sliding windows. Shows Sharpe if win rate >50%, Sortino if <=50% Curr DD — Current drawdown from peak — Lower is better — Present drawdown percentage. Zero means at new equity high DAR — CAGR adjusted for target DD — Higher is better — Drawdown-Adjusted Return. DAR^5 = CAGR if max DD = 5% Kurtosis — Fourth moment / StdDev^4 - 3 — ~0: Normal, >0: Fat tails, <0: Thin tails — Measures "tailedness" of return distribution (excess kurtosis) Skewness — Third moment / StdDev^3 — >0: Positive skew (big wins), <0: Negative skew (big losses) — Return distribution asymmetry VaR — 5th percentile of returns — Lower absolute is better — Value at Risk at 95% confidence. Maximum expected loss in worst 5% of outcomes Ulcer — sqrt(mean(drawdown^2)) — Lower is better — Ulcer Index - root mean square of drawdowns. Penalizes both depth AND duration ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ MONTE CARLO SIMULATION Purpose Monte Carlo simulation tests strategy robustness by randomizing the order of trades while keeping trade returns unchanged. This simulates alternative equity curves to assess outcome variability. Method Extract all historical trade returns Randomly shuffle the sequence (1000+ iterations) Calculate cumulative equity for each shuffle Build distribution of final outcomes Output The stress test table shows: Median Outcome: 50th percentile result 5th Percentile: Worst 5% of outcomes 95th Percentile: Best 95% of outcomes Success Rate: Percentage of simulations that were profitable Interpretation If 95% of simulations are profitable: Strategy is robust If median is far from actual result: High variance/unreliability If 5th percentile shows large loss: High tail risk ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WALK-FORWARD ANALYSIS Purpose Walk-Forward Analysis (WFA) is the gold standard for detecting strategy overfitting. It simulates real-world trading by dividing historical data into rolling "training" (in-sample) and "validation" (out-of-sample) periods. A strategy that performs well on unseen data is more likely to succeed in live trading. Method The implementation uses a non-overlapping window approach following AmiBroker's gold standard methodology: Segment Calculation: Total trades divided into N windows (default: 12), IS = ~75%, OOS = ~25%, Step = OOS length Window Structure: Each window has IS (training) followed by OOS (validation). Each OOS becomes the next window's IS (rolling forward) Metrics Calculated: CAGR, Sharpe, Sortino, MaxDD, Win Rate, Expectancy, Profit Factor, Payoff Aggregation: IS metrics averaged across all IS periods, OOS metrics averaged across all OOS periods Output IS CAGR: In-sample annualized return OOS CAGR: Out-of-sample annualized return ( THE key metric ) IS/OOS Sharpe: In/out-of-sample risk-adjusted return Success Rate: % of OOS windows that were profitable Interpretation Robust: IS/OOS CAGR gap <20%, OOS Success Rate >80% Some Overfitting: CAGR gap 20-50%, Success Rate 50-80% Severe Overfitting: CAGR gap >50%, Success Rate <50% Key Principles: OOS is what matters — Only OOS predicts live performance Consistency > Magnitude — 10% IS / 9% OOS beats 30% IS / 5% OOS Window count — More windows = more reliable validation Non-overlapping OOS — Prevents data leakage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ TABLE DISPLAY Main Table — Organized into three sections: Performance Metrics (Cols 0-6): Net Profit, Payoff, Sample Size, Profit Factor, CAGR, Expectancy, Monthly Trade Statistics (Cols 7-14): Avg Duration, Max CW, Max CL, Win, BE, Loss, Frequency, Exposure Risk Metrics (Cols 15-22): Sharpe, Sortino, Max DD, RoR, R², MAR, CVaR, p-value Color Coding 🟢 Green: Excellent performance 🟠 Orange: Acceptable performance ⚪ Gray: Neutral / Fair 🔴 Red: Poor performance ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ IMPLEMENTATION NOTES Data Source: All metrics calculated from strategy.closedtrades , ensuring compatibility with any Pine Script strategy Calculation Timing: All calculations occur on barstate.islastconfirmedhistory to optimize performance Limitations: Requires at least 1 closed trade for basic metrics, 30+ trades for reliable statistical analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ QUICK NOTES ➙ This library has been developed and refined over two years of real-world strategy testing. Every calculation has been validated against industry-standard quantitative finance references. ➙ The entire codebase is thoroughly documented inline. If you are curious about how a metric is calculated or want to understand the implementation details, dive into the source code -- it is written to be read and learned from. ➙ This description focuses on usage and concepts rather than exhaustively listing every exported type and function. The library source code is thoroughly documented inline -- explore it to understand implementation details and internal logic. ➙ All calculations execute on barstate.islastconfirmedhistory to minimize runtime overhead. The library is designed for efficiency without sacrificing accuracy. ➙ Beyond analysis, this library serves as a learning resource. Study the source code to understand quantitative finance concepts, Pine Script advanced techniques, and proper statistical methodology. ➙ Metrics are their own not binary good/bad indicators. A high Sharpe ratio with low sample size is misleading. A deep drawdown during a market crash may be acceptable. Study each function and metric individually -- evaluate your strategy contextually, not by threshold alone. ➙ All strategies face alpha decay over time. Instead of over-optimizing a single strategy on one timeframe and market, build a diversified portfolio across multiple markets and timeframes. Deeptest helps you validate each component so you can combine robust strategies into a trading portfolio. ➙ Screenshots shown in the documentation are solely for visual representation to demonstrate how the tables and metrics will be displayed. Please do not compare your strategy's performance with the metrics shown in these screenshots -- they are illustrative examples only, not performance targets or benchmarks. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW-TO Using Deeptest is intentionally straightforward. Just import the library and call DT.runDeeptest() at the end of your strategy code in main scope. . //@version=6 strategy("My Strategy", overlay=true) // Import the library import Fractalyst/Deeptest/1 as DT // Your strategy logic fastMA = ta.sma(close, 10) slowMA = ta.sma(close, 30) if ta.crossover(fastMA, slowMA) strategy.entry("Long", strategy.long) if ta.crossunder(fastMA, slowMA) strategy.close("Long") // Run the analysis DT.runDeeptest() And yes... it's compatible with any TradingView Strategy! 🪄 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Author: @Fractalyst Font Library: by @fikira - @kaigouthro - @Duyck Community: Inspired by the @PineCoders community initiative, encouraging developers to contribute open-source libraries and continuously enhance the Pine Script ecosystem for all traders. if you find Deeptest valuable in your trading journey, feel free to use it in your strategies and give a shoutout to @Fractalyst -- Your recognition directly supports ongoing development and open-source contributions to Pine Script. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ DISCLAIMER This library is provided for educational and research purposes. Past performance does not guarantee future results. Always test thoroughly and use proper risk management. The author is not responsible for any trading losses incurred through the use of this code.Pine Script® 라이브러리Fractalyst의업데이트됨 2121339