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Lot Size & Risk Calculator All Pairs NEWLot Size & Risk Calculator All Pairs NEW Description Professional risk and position size calculator for traders working with various financial instruments. Main difference from standard indicators: Standard risk calculators only show basic Risk/Reward for the entire position. But in real trading, we often close positions partially at different take-profit levels, and the final Risk/Reward changes significantly with this approach! This indicator calculates weighted Risk/Reward taking into account position distribution across multiple take-profit levels. Main features: - Support for 4 instrument types: Forex, XAUUSD (gold), BTCUSD (bitcoin), US100 (NASDAQ index) - Automatic position size calculation based on risk and stop-loss distance - Multiple take-profit levels with customizable closing percentages - Weighted Risk/Reward calculation considering position distribution - Ability to adjust position distribution between take-profits to optimize final profit - Display of total percentage growth of deposit from all take-profit levels - 2 visualization options: colored fill between levels or lines - Informative results panel in table format Settings by groups: Core Settings - Currency: select instrument type (Forex, XAUUSD, BTCUSD, US100) - Account Balance: trading account size in dollars - Risk %: risk percentage from deposit (0.1-100%) - Use Custom Contract Sizes: manual contract size configuration Point Value Settings - Use automatic point value calculation: automatic point value calculation - Manual point value: manual point value input (for non-standard contracts) Levels - Entry Price: entry price (confirmation required on first use) - Stop Price: stop-loss price - Take-Profit Prices: take-profit prices (up to 3 levels) - TP Close %: percentage of position closed at each take-profit level Dashboard - Show Targets Profit: display profit from take-profit levels - Label Size: text size in the table - Dashboard Position: table position on the chart How to use: Step 1: Initial setup (when first adding) 1. Enter entry price (Entry Price) - confirmation window will appear (click on desired bar) 2. Then enter stop-loss price (Stop Price) (click on desired bar) 3. Add first take-profit (TP1) (click on desired bar) 4. Second and third take-profits are added through checkboxes (click on the settings gear icon to open them) Step 2: Instrument selection and risk configuration 1. In "Core" group, select your instrument type 2. Set account balance and risk percentage Step 3: Position distribution configuration 1. Set TP Close % for each take-profit level (e.g.: TP1 - 33%, TP2 - 33%, TP3 - 34%) 2. Experiment with distribution! By changing closing percentages, you can: - Increase/decrease final Risk/Reward - Optimize risk/profit ratio - Find the most comfortable position distribution for you Step 4: Results analysis 1. Results table will show: - Calculated position size (lots/contracts) - Risk in monetary terms - Risk/Reward for each take-profit level - Weighted R:R considering position distribution - Total potential profit from all take-profits - Percentage growth of deposit - total profit percentage from all take-profit levels Key features: Position distribution adjustment You can easily find optimal position distribution between take-profits: - Aggressive approach: higher percentage on distant take-profit (higher profit potential) - Conservative approach: higher percentage on near take-profit (faster profit taking) - Balanced: even distribution for risk reduction Weighted Risk/Reward The indicator calculates not just simple R:R for the entire position, but weighted value that considers: - Position distribution between take-profits - Different distances to each take-profit level - Closing percentage at each level Results visualization - Colored fill shows risk and profit zones - Labels at levels display specific profit/loss values - Results table contains all key metrics Creation story This indicator was created based on the original calculator by @Algoryze As a trader, I lacked the ability to see real Risk/Reward when partially closing positions and a convenient tool for selecting optimal position distribution between take-profit levels. I improved the indicator by adding: - Weighted Risk/Reward calculation - Ability to adjust closing percentage at each take-profit - Display of total percentage growth of deposit - Improved interface and visualization I hope this tool will be useful to other traders who use strategies with partial position closing! Important notes: 1. When first adding the indicator, be sure to enter prices in order: Entry โ†’ Stop โ†’ TP1 2. TP2 and TP3 are added through input fields (no confirmation required) 3. Closing percentages are automatically normalized if the sum is not 100% 4. Experiment with position distribution to find optimal risk/profit ratio 5. For different instruments, add separate copies of the indicator in different tabs Support For questions and suggestions, leave comments in the indicator publication on TradingView. --- Important: All calculations are provided for informational purposes only. Trading involves risks, trade responsibly. The indicator helps with calculations but does not guarantee profit.
Penunjuk Pine Scriptยฎ
oleh Upscale888
Eccodax Advanced kNN Lorentziano Matrix1. What this code is It is a predictive indicator based on classic Machine Learning (k-Nearest Neighbors), fully implemented in PineScript v6, designed to: Learn historical market patterns Compare the current state with similar past states Estimate the expected future price movement Reconstruct a projected price consistent with the current level It is not an oscillator, it is not a traditional technical indicator, and it does not react only to the immediate past. 2. What the Model Learns (Supervised Learning) 2.1 Features (Input Variables) The model uses three dimensions of information, all normalized by Z-score: Return Measures the percentage change in price Captures the immediate momentum of the market Momentum (ROC) Measures acceleration or deceleration of the movement Differentiates trends from consolidations Volatility Measures the degree of market uncertainty Adjusts the weight of strong movements vs. noise These three variables form a market state vector. 2.2 Normalization (Z-Score) Each feature is converted to: Mean โ‰ˆ 0 Standard deviation โ‰ˆ 1 This ensures that: No variable dominates the distance The statistical comparison is valid The model is stable in different price regimes 2.3 Target (Predicted Variable) The model does not predict absolute price. It learns: Observed future return after forecastBars That is: Learns movement, not level Eliminates historical bias Avoids predictions inconsistent with the current price 3. How the model makes the prediction 3.1 Search for similar patterns (k-NN) For each current candle, the model: Analyzes the last lookback candles Calculates the Euclidean distance between the current state and each past state Selects the k most similar states Observes what happened after them 3.2 Inference The predicted return is calculated as: Weighted average of the future returns of the neighbors Weights inversely proportional to the distance More similar states โ†’ greater influence. 4. Price Reconstruction (Key Information) From the predicted return, the model reconstructs: Predicted Price = Current Close ร— (1 + Predicted Return) Predicted Price = Current Close ร— (1 + Predicted Return) This ensures that: The forecast respects the current market level The output is visually interpretable There is no regression to past regimes 5. Relevant Information the Indicator Delivers 5.1 Predicted Price (Green Line) What it is: Estimated price after forecastBars. How to use: Above the current price โ†’ bullish bias Below โ†’ bearish bias Large distance โ†’ expectation of strong movement 5.2 Predicted Return (Implicit) Even though not plotted directly, it is the most important information in the model. Positive โ†’ expectation of appreciation Negative โ†’ expectation of decline Negative โ†’ expectation of decline Near zero โ†’ sideways market 5.3 Directional Classification (optional) The model also acts as a binary classifier: High if expected return > 0 Low if expected return < 0 This is used as: Noise filter Trend confirmation False signal reduction 5.4 Implicit statistical context The indicator carries information that is not visual, but is fundamental: Market regime (trending vs. sideways) Statistical similarity with the past Relative confidence (via distance from neighbors) 6. What this indicator does NOT do It is important to align expectations: โŒ Does not predict exogenous events โŒ Does not anticipate gaps โŒ Does not work well on illiquid assets โŒ Does not extrapolate long trends k-NN replicates patterns, does not create scenarios Unprecedented. 7. Where this model works best Markets with repetitive structure Medium timeframes (5m โ€“ 1D) Liquid assets Environments with alternating regimes 8. How to use it in practice (professional recommendation) Ideal use: k-NN direction โ†’ bias Technical indicator โ†’ timing Risk management โ†’ execution Never use it in isolation for entry. 9. Executive summary This code delivers: A functional supervised ML model in Pine Prediction consistent with the current price Statistical market direction Reduction of historical bias Solid foundation for quantitative strategies Relevant information provided by this code 1. Forecasted price (line) Statistical projection consistent with the current level Based on similar historical patterns 2. Implicit direction Return > 0 โ†’ bullish bias Return < 0 โ†’ bearish bias 3. Structural robustness Lower sensitivity to outliers Lower scale bias Better adaptation to different regimes This refactored version introduces significant improvements based on modern quantitative Machine Learning practices (similar to those found in jdehorty's "Lorentzian Classification" indicator): Lorentzian Distance: Replaces the Euclidean distance (which is affected by noise and outliers) with Lorentzian Distance, which is much more robust for financial markets. Matrix Structure: Uses the matrix object in Pine V6 to manage training data more efficiently and cleanly than loose arrays. Feature Engineering (WaveTrend & RSI): Replaces simple Momentum with normalized indicators (RSI, WaveTrend, CCI, ADX), better capturing market dynamics. Min-Max Normalization: Features are normalized on a 0-100 scale so that indicators with different magnitudes do not distort the distance calculation. Inverse Distance Weighting: Instead of a simple average, the nearest neighbors (most similar) have greater weight in the prediction.
Penunjuk Pine Scriptยฎ
oleh marciolincoln
LARGER PRICE LINE Adjustable (UPDATED)LARGER PRICE LINE I made this so I could SEE THE PRICE LINE BETTER and try to reduce some eye strain!! Hope it helps... enjoy! comment for improvements or suggestions Improved Adjustable Size and Color for the Price Line and Price Box Adjustment for Price Line: Size and Color plus Solid Line, Dashed or Dotted Line Adjustments include: Price Box Text Size and Color (Small, Normal, Large, Huge!) Adjustable Right Side Offset for Price Box
Penunjuk Pine Scriptยฎ
oleh JoeKing1
VWMA Cross Buy SignalCore Components & Logic 1. The Entry Engine (VWMA + Filters) The strategy triggers a long signal when a Volume Weighted Moving Average (VWMA) crossover occurs. Unlike a standard Simple Moving Average, the VWMA gives more weight to bars with higher volume. This ensures the indicator responds faster to "Smart Money" moves and slower to low-volume noise. It uses a secondary Trend Filter (defaulting to the 200 EMA). By only buying when the price is above this line, the indicator forces you to stay on the right side of the primary market trend. It requires volume to be higher than its recent average (e.g., 1.1ร— or 10% higher). This prevents entries on weak, low-conviction price moves. 2. The Dynamic Exit System You have two distinct ways to manage your risk and targets, toggleable in the settings: ATR Based (Volatility Adjusted): It calculates the Average True Range (ATR) to determine how volatile the stock is. By setting your Stop Loss at 2.0ร—ATR, you avoid getting "shaken out" by normal daily price fluctuations. The Take Profit is set at 4.4ร—ATR to capture large trend extensions. Fixed % (Static): A more rigid approach where you set a hard percentage target (e.g., 10% gain / 5% loss). 3. The Performance Analytics Table The grey minimalist table in the bottom-right corner uses cumulative percentage-based math to show: Realized RRR: The actual Reward-to-Risk ratio based on your closed trades. Break-Even Win Rate: The minimum win rate you need to stay profitable with your current RRR. It uses the formula: BE WR=1+RRR1โ€‹ Current Win Rate: Highlighted in Green if you are beating the Break-Even rate, or Red if the strategy is currently losing money on that specific stock. Max Drawdown %: The most important metric for risk. It shows the largest peak-to-trough decline in your equity curve, letting you know how much losing streak can hurt your equity. Strategic Use Case This indicator is optimized for Stock Screening. When you flip through your watchlist, the table updates instantly. If you see a stock with a high Win Rate and a Max Drawdown under 10%, you have found a ticker where the VWMA crossover logic is highly compatible with that stock's specific volatility. If the Win Rate cell is Red, you know the strategy is "un-tuned" for that asset and needs adjustment.
Penunjuk Pine Scriptยฎ
oleh liquidspacie1337
Adaptive Market Regime Engine - AMR [1.2.0]An analysis and decision framework for traders who want to understand what their strategy can truly deliver in real market conditions. Note: This script loads in a neutral state. Performance depends entirely on the selected setup and market regime. From Backtest to Market Reality Many traders are familiar with the same situation: In backtesting, a strategy appears stable โ€“ smooth equity curve, clean metrics. In live trading, drawdowns, uncertainty, and emotional decisions follow. Then the strategy gets optimized, replaced, or abandoned โ€“ often exactly when the market would have started to adapt again. The problem is rarely the strategy itself. It is the missing market context in which it is applied. AMR was developed to close this gap: Trading ideas are not viewed in isolation, but systematically classified into market regimes and market phases โ€“ with a realistic view on risk, drawdowns, and capital impact. Market as a Regime โ€“ Not a State The market is not a static environment. It continuously shifts between different regimes, each placing different demands on strategies. AMR continuously classifies the market into structured phases, including: Squeeze โ€“ low volatility, transition and buildup phases Strong Trend (Bull / Bear) โ€“ clear directional movement with statistical edge Weak Trend โ€“ directional bias with increased pullbacks Range โ€“ sideways markets with limited opportunity Neutral โ€“ transition phases without a clear advantage All trades, metrics, and evaluations are always viewed within the context of these phases. This creates understanding of: why trades occur or are deliberately avoided why drawdowns happen why a setup may temporarily underperform without being fundamentally flawed Four Analysis Modes โ€“ Four Perspectives on the Same Setup Setup Mode โ€“ The Strategy Itself In Setup Mode, you develop and analyze your trading idea independently of account size. Here you define and test, among other things: Entry and exit logic ATR-based exits, trailing stops, fixed take-profits, breakeven rules Re-entry concepts for trend continuation phase-dependent parameters Core question: Is this trading idea logical, consistent, and technically robust? Portfolio Mode โ€“ Capital Reality Portfolio Mode translates a setup into a realistic account simulation. It visualizes: equity curve development maximum drawdown (absolute and percentage) capital exposure risk development over time Core question: How does this setup actually affect my capital? Heatmap Mode โ€“ The Time Test Heatmap Mode evaluates performance over time, not just as an aggregate result. It shows: strong and weak months recurring drawdown phases periods without trades recovery phases after losing streaks Core question: Which weak phases are structurally part of this setup โ€“ and what must a trader be able to endure during these periods? Live Mode โ€“ Understanding the Current Market Environment Live Mode analyzes the market in real time. It shows: the current market regime active or inactive setup conditions concrete reasons for โ€œno-tradeโ€ phases re-entry status and timing logic Goal: Not just seeing trades, but understanding why trades are taken โ€“ or consciously avoided. Position Sizing & Kelly Reference Many traders optimize entries and exits but underestimate the impact of position sizing. AMR integrates the Kelly principle as a reference model to: contextualize expectancy and risk compare fixed position sizes with dynamic weighting identify whether drawdowns stem from the strategy or from position sizing Kelly is neither a recommendation nor a requirement, but an analytical tool to evaluate oneโ€™s own risk management. Validated Starter Setups & Private Community At launch, every AMR subscriber receives three validated and currently live-traded setups. These setups include: complete parameter configurations clear market phase classification defined risk and exit structures They serve as real-world references for how a robust setup is constructed. Additionally, all users gain access to a private Telegram group. This group is not a signal service. It is intended as a shared workspace and exchange environment. Every trader favors different markets and timeframes and brings individual account sizes, time horizons, and mental resilience. What does not fit one trader may be ideal for another. From this context emerges a rich and continuously growing pool of real, field-tested trading setups, from which each trader can select the strategies that best fit their style, capital, and mental strength. Technical Integrity & Data Stability AMR operates with: non-repainting signals realistic costs (fees & slippage) stable backtests Who AMR Is Designed For AMR is built for traders who: systematically develop their own strategies actively incorporate market phases into decision-making seek to understand drawdowns instead of reacting emotionally aim for long-term consistency Guiding Principle You design your strategy. AMR shows how it behaves across real market phases โ€“ and what those decisions mean for your trading account. Past performance โ‰  future results.
Penunjuk Pine Scriptยฎ
oleh Jens_Jung
2
Sri - Auto Swing Fib Plus (Trend-Aware | Custom TF Labels)๐Ÿ“Œ Sri โ€“ Auto Swing Fib Plus (Trend-Aware | Custom TF Labels) Advanced Automatic Swing-Based Fibonacci Tool With Multi-Timeframe Trend Awareness Sri โ€“ Auto Swing Fib Plus is a next-generation swing-based Fibonacci mapping tool designed for professional price-action traders. Unlike classical static Fibonacci drawings, this indicator automatically detects true market swings, adapts to timeframe conditions, and labels Fibonacci levels dynamically using non-repainting pivot logic. This is not a simple Fib drawing. It uses a unique trend-aware swing engine that updates levels only when a confirmed pivot forms on the selected timeframe (CTF). Because this logic is proprietary and significantly different from the hundreds of open-source Fibonacci scripts, this version is protected. ๐Ÿ” What This Indicator Does โœ” 1. Automatic Swing Detection (Non-Repainting) The script uses: ta.pivothigh() and ta.pivotlow() executed on a custom timeframe via request.security() with lookahead_off to ensure fully non-repainting behaviour. Only the most recent CONFIRMED swing high and low are stored and used for fib calculations. This eliminates โ€œfloatingโ€ or repainting Fib levels that many other indicators suffer from. โœ” 2. Auto-Timeframe (CTF) System The indicator includes a full automatic timeframe engine: Chart TF Auto CTF Selected โ‰ค 1D 1D 1D 1W 1W 1M >1W 1M This ensures Fib swings are always taken from a higher timeframe than the chart for: Clean structure Reduced noise Better major swing detection You can also switch to Manual Mode to choose any TF. โœ” 3. Trend-Aware Fibonacci Mapping Trend direction is identified by comparing: The bar index of last confirmed high The bar index of last confirmed low This creates: Uptrend Fib map (low โ†’ high) Downtrend Fib map (high โ†’ low) The Fib levels included: 0% 38.2% 50% 61.8% 78.6% 100% These levels update automatically as soon as a new pivot confirms. โœ” 4. Auto-Labeling System Each Fibonacci level is labeled with: Tiny label size Color coding Automatic directional placement Furthermore, if the user sets a negative label offset, the label orientation reverses automatically (right/left). This prevents overlapping labels on various chart layouts. ๐ŸŽฏ What Makes This Script Unique There are hundreds of Fibonacci scripts on TradingView, but this script is different because it combines: โญ MTF Non-Repainting Swing Engine Most public scripts plot Fib levels on the current timeframe only. This script extracts swing structure from higher TFs, providing significantly stronger swing reliability. โญ Trend-Aware Fib Direction Mapping Instead of plotting Fib levels blindly, the indicator flips direction based on the actual structure, not just price movement. โญ Dynamic Auto-Label Logic With Orientation Handling Tiny labels, auto clean-ups, reversible layout, and visual consistency make it ideal for minimalistic price action charts. โญ Pure Pivot-Based Logic, Not ZigZag or Fractals ZigZag-based Fibs repaint heavily. This script uses confirmed pivots only, ensuring stable and trustworthy levels. โญ Fast performance with maximum label control The script refreshes labels every 5 bars only, reducing clutter and improving chart performance. These features collectively justify keeping the script closed-source. ๐Ÿ“˜ How to Use 1. Select CTF Mode Auto Mode (Recommended) Automatically chooses the best swing timeframe for your chart. Manual Mode Choose any timeframe (ex: 1D, 4H, 1W) to control the swing calculation. 2. Look for Major Reversal Points The indicator highlights the true structure swing used for Fib mapping. 3. Use Fibonacci Levels for: Pullback entries Continuation confirmation Breakout targets Stop-loss placement Trend continuation vs reversal identification 4. Combine with Your Strategy This indicator works exceptionally well with: Swing trading Trend following Liquidity zones S/R trading Wave analysis Market structure tools โš  Important Notes No repainting (confirmed pivots only) Works on all assets and all timeframes Labels automatically reverse when negative offset is used Designed for clean, minimalistic price charts ๐Ÿ“Œ Final Summary Sri โ€“ Auto Swing Fib Plus gives traders an intelligent, trend-aware Fibonacci plotting system that updates dynamically, respects structure, and adapts to multi-timeframe environments โ€” offering precision far beyond standard Fib tools. This is a unique, proprietary swing-engine, not a clone of existing public Fibonacci indicators.
Penunjuk Pine Scriptยฎ
oleh venkat_27
Sri - MACD with Smoothed EMA Sri โ€“ MACD with Smoothed EMA (Auto-TF, Offset, Sensitivity Engine) This indicator is an enhanced and more flexible version of the classic MACD, redesigned for traders who want higher-level control, smoother trend detection, and improved readability across different chart timeframes. Unlike the standard MACD, this version introduces Auto-Timeframe Logic, Sensitivity Scaling, and a Smoothed EMA Envelope around the MACD line, giving traders a more consistent and stable momentum view across intraday and higher-timeframe environments. โœจ What Makes This MACD Unique This script is not a simple recreation of the open-source MACD. It adds multiple proprietary layers that change the underlying behaviour: 1. Auto-Timeframe Engine The indicator automatically switches the MACD timeframe depending on chart conditions: If the chart is โ‰ค 15 minutes, the MACD calculation automatically uses 1-Hour (60-min) data. Otherwise, it uses the chartโ€™s native timeframe. This makes the signal more stable on low-timeframe charts and reduces noise. This feature is not available in standard MACD implementations. 2. Sensitivity-Based Scaling (Trend Zoom) The script includes a Zoom engine that โ€œamplifies or compressesโ€ MACD and Signal values: Higher sensitivity highlights micro-swings Lower sensitivity smooths out noise for cleaner macro-signals This custom scaling approach provides a different look & feel than standard MACD outputs. 3. Hi-Line Offset (Vertical Shift Controller) Traders can vertically shift the MACD cluster up or down using an offset value. This is extremely useful when: Combining multiple oscillators in the same pane Wanting more visual space Aligning the indicator with multi-indicator layouts This is also not found in the standard MACD. 4. Smoothed MACD EMA Overlay (50-EMA Cloud) The script optionally adds a Smoothed MACD EMA, forming a type of momentum envelope: Helps track longer-term MACD momentum Filters fake crossovers Highlights periods where MACD momentum is flattening or accelerating This extra smoothed layer provides a proprietary visual trend-tracking component. 5. Color-Coded MACDโ€“Signal Fill Areas between MACD & signal are shaded: Blue when MACD is above Signal (bull momentum) Orange when MACD is below Signal (bear momentum) This makes momentum direction instantly visible at a glance. ๐Ÿ“Œ How the Indicator Works (Conceptual Explanation) Without revealing proprietary code, here is the conceptual flow: Determine the operative timeframe A custom auto-TF engine selects a 60-minute MACD for smaller charts or remains native on higher charts. Compute the MACD and Signal lines Using user-selected MA types (EMA or SMA). Apply Sensitivity Scaling Both MACD and Signal values are zoomed or compressed using a sensitivity factor. Apply Vertical Offset The entire MACD structure is shifted up or down using a Hi-Line Offset. Smooth the MACD using a 50-period EMA This forms a momentum backbone that helps identify trend continuation vs exhaustion. Plot MACD, Signal, Smoothed EMA, and Color-Fill The indicator visually represents trend health, crossovers, divergence behavior, and momentum cycles. ๐Ÿ“Š How to Use the Indicator Trend Direction MACD > Signal โ†’ Bullish momentum MACD < Signal โ†’ Bearish momentum Trend Strength Large separation between MACD & Signal โ†’ Strong push Tight clustering โ†’ Consolidation or transition zone Smoothed EMA Interpretation MACD above Smoothed EMA โ†’ Uptrend bias MACD below Smoothed EMA โ†’ Downtrend bias When Smoothed EMA flattens โ†’ Upcoming trend pause or reversal Sensitivity Settings Scalpers use higher sensitivity Swing traders use lower sensitivity Position traders use default or minimal sensitivity Offset Use-Cases Combine with RSI / PMO in the same pane Manage layout when using multi-oscillator templates Improve clarity on smaller monitors or laptop screens
Penunjuk Pine Scriptยฎ
oleh venkat_27
Median Anchor Oscillator [ALPHA]ALPHA โ€“ Median Anchor Oscillator A clean, outlier-resistant z-score oscillator built around a rolling median (not mean) and Median Absolute Deviation (MAD) instead of standard deviation. Key features: - Green/red histogram shows deviation strength from the median anchor - Dashed lines at ยฑ threshold (default 2.5 โ€“ adjustable) - Optional purple fill for extreme zones - Auto-scales perfectly (no price squish on BTC or high-value assets) Ideal for mean-reversion traders spotting overextension or "gravity" pullbacks. SHORT = breaching top dashed line (red) LONG = breaching bottom dashed line (green) Use with a MACD or RSI for those divergence signal confirmations. This is ALPHA โ€“ early version, still tuning. Companion overlay suite (medians, pivot, signals, RSI overlay) coming in future, possible standalone update(s). Feedback / suggestions very welcome! Tags: z-score, median, oscillator, mean-reversion, BTC, crypto, deviation
Penunjuk Pine Scriptยฎ
oleh RU55IANROUL3TT3
Teemo Volume Delta & Market HUDTeemo Volume Delta & Market HUD Description: Teemo Volume Delta goes beyond simple volume indicators to provide expert-level analysis of Buy and Sell pressure within the market. It visualizes supply/demand imbalances inside candles and provides an immediate grasp of market control via a real-time HUD. With the v1.2.0 update, we have removed unnecessary overlays (like EMAs) to focus on Pure Delta Analysis and a flexible Smart Accumulation System, making the tool lighter and more powerful. ๐Ÿš€ Key Features 1. Dual Calculation Modes Offers two calculation methods tailored to your trading environment and goals: Estimation: Rapidly estimates buy/sell volume based on candle shape (OHLC) and price range. It features fast loading times and works instantly on all assets. Intraday: Analyzes lower timeframe data (e.g., 1-minute bars) to calculate the precise delta of the current timeframe. (Loading time may vary depending on TradingView data limits.) 2. Smart Accumulation System Supports strategic analysis beyond simple summation with two distinct modes: Time Based: Resets the Cumulative Delta to 0 at specific intervals (e.g., every 4 hours, Daily). This is optimized for session-based analysis or day trading. Infinite: Continuously accumulates data without resetting, ideal for analyzing long-term Divergences between price and delta. 3. Intuitive HUD (Heads-Up Display) Displays critical market data on the chart for instant decision-making: Delta Panel: Shows real-time Buy/Sell volume and Net Delta for the current candle. Market HUD: Provides a comprehensive view of Trend Strength (ADX), Momentum (RSI), and the Cumulative Buy/Sell status for the current period. 4. Teemo Design System (v1.2) Provides optimized color themes for visual comfort during long trading sessions: Teemo Neon: High-contrast Mint/Purple theme optimized for dark backgrounds. Classic Soft: A calming Soft Green/Red theme designed to reduce eye strain (Recommended for all backgrounds). โš™๏ธ Settings Guide Calculation Mode: Choose between Estimation (Speed) or Intraday (Precision). Accumulation Mode: Choose Time Based (Periodic Reset) or Infinite (Continuous). Reset Period: Set the reset interval for Time Based mode (e.g., 1D = Daily Reset). Color Preset: Select between Teemo Neon or Classic Soft themes. ๐Ÿ’ก Trading Tips Delta Divergence: If the price makes a higher high but the Cumulative Delta (HUD) makes a lower high, it signals weakening buying pressure and a potential reversal. Candle Coloring: A solid Mint (or Green) candle body indicates a price rise accompanied by strong actual buying volume, offering higher reliability than standard candles. HUD Confluence: Consider trend-following entries when the ADX is above 25 and the Delta is heavily skewed in one direction. This indicator is for informational purposes only and does not constitute financial advice. The Estimation mode provides approximations based on algorithms, and the Intraday mode's accuracy depends on the quality of the lower timeframe data provided by the exchange. Developed by Teemo Trading Systems ------------------------------------------------------------------------ Teemo Volume Delta & Market HUD ์„ค๋ช… ๋ณธ๋ฌธ: Teemo Volume Delta๋Š” ๋‹จ์ˆœํ•œ ๊ฑฐ๋ž˜๋Ÿ‰ ์ง€ํ‘œ๋ฅผ ๋„˜์–ด, ์‹œ์žฅ ๋‚ด๋ถ€์˜ ๋งค์ˆ˜(Buy)์™€ ๋งค๋„(Sell) ์••๋ ฅ์„ ์ •๋ฐ€ํ•˜๊ฒŒ ๋ถ„์„ํ•˜๋Š” ์ „๋ฌธ๊ฐ€์šฉ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ์บ”๋“ค ๋‚ด๋ถ€์˜ ์ˆ˜๊ธ‰ ๋ถˆ๊ท ํ˜•์„ ์‹œ๊ฐํ™”ํ•˜๊ณ , ์‹ค์‹œ๊ฐ„ HUD๋ฅผ ํ†ตํ•ด ์‹œ์žฅ์˜ ์ฃผ๋„๊ถŒ์ด ๋ˆ„๊ตฌ์—๊ฒŒ ์žˆ๋Š”์ง€ ์ฆ‰๊ฐ์ ์œผ๋กœ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•์Šต๋‹ˆ๋‹ค. v1.2.0 ์—…๋ฐ์ดํŠธ๋ฅผ ํ†ตํ•ด ๋ถˆํ•„์š”ํ•œ ๋ณด์กฐ์ง€ํ‘œ(EMA)๋ฅผ ์ œ๊ฑฐํ•˜๊ณ , ์ˆœ์ˆ˜ํ•œ ๋ธํƒ€ ๋ถ„์„๊ณผ ์œ ์—ฐํ•œ ๋ˆ„์ (Accumulation) ์‹œ์Šคํ…œ์— ์ง‘์ค‘ํ•˜์—ฌ ๋”์šฑ ๊ฐ€๋ณ๊ณ  ๊ฐ•๋ ฅํ•ด์กŒ์Šต๋‹ˆ๋‹ค. ๐Ÿš€ ์ฃผ์š” ๊ธฐ๋Šฅ (Key Features) 1. ๋“€์–ผ ๊ณ„์‚ฐ ๋ชจ๋“œ (Dual Calculation Modes) ์‚ฌ์šฉ์ž์˜ ํ™˜๊ฒฝ๊ณผ ๋ชฉ์ ์— ๋งž์ถฐ ๋‘ ๊ฐ€์ง€ ๊ณ„์‚ฐ ๋ฐฉ์‹์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. Estimation (์ถ”์ • ๋ชจ๋“œ): ์บ”๋“ค์˜ ํ˜•ํƒœ(OHLC)์™€ ๊ฐ€๊ฒฉ ๋ณ€๋™ํญ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋งค์ˆ˜/๋งค๋„ ๋ณผ๋ฅจ์„ ๋น ๋ฅด๊ฒŒ ์ถ”์ •ํ•ฉ๋‹ˆ๋‹ค. ๋กœ๋”ฉ ์†๋„๊ฐ€ ๋น ๋ฅด๋ฉฐ ๋ชจ๋“  ์ž์‚ฐ์— ์ฆ‰์‹œ ์ ์šฉ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. Intraday (์ •๋ฐ€ ๋ถ„์„ ๋ชจ๋“œ): ํ•˜์œ„ ํƒ€์ž„ํ”„๋ ˆ์ž„(์˜ˆ: 1๋ถ„๋ด‰)์˜ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ์ƒ์œ„ ํƒ€์ž„ํ”„๋ ˆ์ž„์˜ ๋ธํƒ€๋ฅผ ์ •๋ฐ€ํ•˜๊ฒŒ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค. (TradingView ๋ฐ์ดํ„ฐ ์ œํ•œ์— ๋”ฐ๋ผ ๋กœ๋”ฉ ์‹œ๊ฐ„์ด ์†Œ์š”๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.) 2. ์Šค๋งˆํŠธ ๋ˆ„์  ์‹œ์Šคํ…œ (Smart Accumulation) ๋‹จ์ˆœ ๋ˆ„์ ์„ ๋„˜์–ด, ์ „๋žต์  ๋ถ„์„์„ ์œ„ํ•œ ๋‘ ๊ฐ€์ง€ ๋ชจ๋“œ๋ฅผ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. Time Based: ์ง€์ •ํ•œ ์ฃผ๊ธฐ(์˜ˆ: 4์‹œ๊ฐ„, 1์ผ)๋งˆ๋‹ค ๋ˆ„์  ๋ธํƒ€๋ฅผ **0์œผ๋กœ ์ดˆ๊ธฐํ™”(Reset)**ํ•ฉ๋‹ˆ๋‹ค. ์„ธ์…˜๋ณ„ ์ˆ˜๊ธ‰ ๋ถ„์„์ด๋‚˜ ๋ฐ์ด ํŠธ๋ ˆ์ด๋”ฉ์— ์ตœ์ ํ™”๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. Infinite: ์ดˆ๊ธฐํ™” ์—†์ด ๋ฐ์ดํ„ฐ๋ฅผ ๊ณ„์† ๋ˆ„์ ํ•˜์—ฌ, ์žฅ๊ธฐ์ ์ธ ๊ฐ€๊ฒฉ๊ณผ ๋ธํƒ€์˜ **๋‹ค์ด๋ฒ„์ „์Šค(Divergence)**๋ฅผ ๋ถ„์„ํ•˜๋Š” ๋ฐ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค. 3. ์ง๊ด€์ ์ธ HUD (Heads-Up Display) ์ฐจํŠธ ์šฐ์ธก๊ณผ ์ขŒ์ธก์— ํ•ต์‹ฌ ์ •๋ณด๋ฅผ ์š”์•ฝํ•˜์—ฌ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. Delta Panel: ํ˜„์žฌ ์บ”๋“ค์˜ ๋งค์ˆ˜/๋งค๋„ ๊ฑฐ๋ž˜๋Ÿ‰๊ณผ ์ˆœ๋งค์ˆ˜(Net Delta) ์ƒํƒœ๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค. Market HUD: ADX(์ถ”์„ธ ๊ฐ•๋„), RSI(๋ชจ๋ฉ˜ํ…€), ๊ทธ๋ฆฌ๊ณ  ํ˜„์žฌ ๊ตฌ๊ฐ„์˜ ๋ˆ„์  ๋งค์ˆ˜/๋งค๋„ ํ˜„ํ™ฉ์„ ํ•œ๋ˆˆ์— ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 4. Teemo Design System (v1.2) ์žฅ์‹œ๊ฐ„ ์ฐจํŠธ๋ฅผ ๋ณด๋Š” ํŠธ๋ ˆ์ด๋”๋ฅผ ์œ„ํ•ด ์‹œ์ธ์„ฑ์ด ๋›ฐ์–ด๋‚œ ์ปฌ๋Ÿฌ ํ…Œ๋งˆ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. Teemo Neon: ์–ด๋‘์šด ๋ฐฐ๊ฒฝ์— ์ตœ์ ํ™”๋œ ๊ณ ๋Œ€๋น„ ๋ฏผํŠธ/ํผํ”Œ ํ…Œ๋งˆ. Classic Soft: ๋ˆˆ์˜ ํ”ผ๋กœ๋ฅผ ์ค„์—ฌ์ฃผ๋Š” ์ฐจ๋ถ„ํ•œ ๊ทธ๋ฆฐ/๋ ˆ๋“œ ํ…Œ๋งˆ (๋ฐ์€/์–ด๋‘์šด ๋ฐฐ๊ฒฝ ๋ชจ๋‘ ์ถ”์ฒœ). โš™๏ธ ์„ค์ • ๊ฐ€์ด๋“œ (Settings) Calculation Mode: Estimation(์†๋„ ์ค‘์‹ฌ) ๋˜๋Š” Intraday(์ •ํ™•๋„ ์ค‘์‹ฌ) ์ค‘ ์„ ํƒ. Accumulation Mode: Time Based(์ฃผ๊ธฐ๋ณ„ ๋ฆฌ์…‹) ๋˜๋Š” Infinite(๋ฌดํ•œ ๋ˆ„์ ) ์„ ํƒ. Reset Period: Time Based ๋ชจ๋“œ ์‚ฌ์šฉ ์‹œ ๋ฆฌ์…‹ํ•  ์ฃผ๊ธฐ ์„ค์ • (์˜ˆ: 1D = ๋งค์ผ ๋ฆฌ์…‹). Color Preset: Teemo Neon ๋˜๋Š” Classic Soft ํ…Œ๋งˆ ์„ ํƒ. ๐Ÿ’ก ํ™œ์šฉ ํŒ (Trading Tips) ๋ธํƒ€ ๋‹ค์ด๋ฒ„์ „์Šค: ๊ฐ€๊ฒฉ์€ ์‹ ๊ณ ๊ฐ€๋ฅผ ๊ฐฑ์‹ ํ•˜์ง€๋งŒ ๋ˆ„์  ๋ธํƒ€(Cum Delta)๋Š” ๋‚ฎ์•„์ง„๋‹ค๋ฉด, ๋งค์ˆ˜์„ธ๊ฐ€ ์•ฝํ™”๋˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฐ•๋ ฅํ•œ ๋ฐ˜์ „ ์‹ ํ˜ธ์ž…๋‹ˆ๋‹ค. ์บ”๋“ค ์ปฌ๋Ÿฌ๋ง: ์บ”๋“ค์˜ ๋ชธํ†ต ์ƒ‰์ƒ์ด ์ง™์€ ๋ฏผํŠธ์ƒ‰(๋˜๋Š” ๊ทธ๋ฆฐ)์ด๋ผ๋ฉด ๊ฐ•๋ ฅํ•œ ๋งค์ˆ˜์„ธ๊ฐ€ ๋™๋ฐ˜๋œ ์ƒ์Šน์„ ์˜๋ฏธํ•˜๋ฉฐ, ์‹ ๋ขฐ๋„๊ฐ€ ๋†’์Šต๋‹ˆ๋‹ค. HUD ํ™œ์šฉ: ADX๊ฐ€ 25 ์ด์ƒ์ด๋ฉด์„œ ๋ธํƒ€๊ฐ€ ํ•œ์ชฝ ๋ฐฉํ–ฅ์œผ๋กœ ์ ๋ฆด ๋•Œ ์ถ”์„ธ ๋งค๋งค๋ฅผ ๊ณ ๋ คํ•˜์„ธ์š”. ์ด ์ง€ํ‘œ๋Š” ์ •๋ณด ์ œ๊ณต์˜ ๋ชฉ์ ์œผ๋กœ๋งŒ ์‚ฌ์šฉ๋˜๋ฉฐ, ์žฌ์ •์  ์กฐ์–ธ์ด ์•„๋‹™๋‹ˆ๋‹ค. Estimation ๋ชจ๋“œ๋Š” ๊ทผ์‚ฌ์น˜๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, Intraday ๋ชจ๋“œ๋Š” ๊ฑฐ๋ž˜์†Œ์—์„œ ์ œ๊ณตํ•˜๋Š” ํ•˜์œ„ ๋ฐ์ดํ„ฐ์˜ ํ’ˆ์งˆ์— ๋”ฐ๋ผ ์ •ํ™•๋„๊ฐ€ ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
Penunjuk Pine Scriptยฎ
oleh TeemoBKK
4
Apex-Wallet - Risk & Reward Calc (Futures/Prop-Firm)Overview The Apex Risk & Reward Calc is a specialized utility tool designed for Futures traders, particularly those working with Prop Firms (Apex, MyFundedFutures, etc.). It eliminates the need for manual calculations by providing an instant, clear visualization of your Risk/Reward parameters directly on the chart. How it works Trading Futures (ES, NQ, MES, MNQ) requires knowing exactly how many ticks correspond to your financial target. This script automatically detects the active instrument and calculates the precise number of ticks needed for both your Take Profit (TP) and Stop Loss (SL) based on your desired cash outcome and chosen ratio. Key Features: Automatic Ticker Recognition: Supports ES, NQ, MES, and MNQ with built-in tick values. Cash-Based Planning: Enter your desired profit in dollars (e.g., $50), and the script tells you the required tick move. Dynamic Ratio Selection: Choose from 9 different R:R ratios (from 1/5 to 5/1) to instantly see the impact on your Stop Loss. Compact Professional UI: A clean, 3-column dashboard at the bottom-right of your screen showing active lots, ticks, and gross cash values. Trading Application Perfect for intraday scalpers who need to set their ATM strategies in platforms like Tradovate or NinjaTrader. It ensures your execution remains consistent with your risk management plan.
Penunjuk Pine Scriptยฎ
oleh Apex-Wallet
Calculadora CFDs v1.1MT5 Lot & Margin Calculator for CFDs (Multi-Asset) General Description This tool is designed for CFD traders using platforms like MetaTrader 5 who need a fast and accurate way to calculate lot size (volume) before entering the market. The calculator solves the issue of varying contract sizes across different assets (Oil, Natural Gas, Gold, Forex, etc.) and precisely calculates the margin withheld by the broker. Key Features: Customizable Database: Pre-configure up to 20 different assets with their respective Contract Sizes. Once set, the script automatically detects the chart's ticker and applies the saved parameters. Note: To find the correct Contract Size, go to MT5, right-click on the asset, select "Specification," and look for the "Contract Size" value. Exact Margin Management: Calculate exactly how many lots to enter in MT5 based on the specific USD amount you want the broker to set aside as collateral (Margin). This value is fully adjustable in the settings. Smart Leverage Logic: Includes automated logic for standard 2026 industry leverage levels (1:50 Forex, 1:10 Energies/Metals, 1:15 Cash Indices, 1:2 Crypto), with a manual override option. High-Contrast Visualization: A clean and professional table interface with adjustable positioning on the chart (Top Right/Left, Bottom Right/Left). Real-Time Data: All calculations are performed using the live price and data source of the ticker currently displayed on your chart. Instructions for Use: In the "Inputs" tab, enter your frequent tickers (e.g., XTIUSD, NAT.GAS) and their contract sizes according to your broker's specifications. Define the "Margin to Retain" (the amount in USD you wish to use as collateral for the trade). The indicator will instantly display the MT5 LOT size to enter into your trading terminal. Use the "Save as Default" option in the settings to ensure your 20 assets remain saved for future sessions.
Penunjuk Pine Scriptยฎ
oleh emanuel_sanchez_arg
IVQ - Pine ScreenerIVQ โ€“ Pine Screener A non-visual screening tool designed exclusively for market scanning. Evaluates hundreds of assets using custom Pine Script logic, combining valuation, supply & demand, price action filters, and optional COT conditions. Delivers a structured list of qualifying markets without plotting charts, enabling efficient and systematic setup identification directly in TradingView. invoriaquant.onepage.me
Penunjuk Pine Scriptยฎ
oleh jg_fxtrading