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Stoploss

ATR Last-Bar Horizontal Stop LinesThis script draws ATR‑based horizontal levels only on the most recent candle, without plotting any historical lines. It uses TradingView’s line.new() engine instead of plot(), ensuring that: Only one horizontal line per direction (Short/Long) is shown The line is drawn only on the latest bar, never across previous bars The line automatically updates on every new candle Older lines are deleted instantly, avoiding chart clutter Lines extend to the right for full visibility, but do not stretch across the entire historical chart The script calculates ATR using the selected length and multiplier, then draws: A Short ATR line above the current candle (High + ATR × Multiplier) A Long ATR line below the current candle (Low − ATR × Multiplier) Both lines can be enabled or disabled individually. This tool is ideal for traders who want a clean chart with a single, dynamic ATR stop‑reference updated only for the current bar.
อินดิเคเตอร์ Pine Script®
โดย Andi303
ATR Stop - Traditional w/SignalsATR Stop – Traditional w/Signals ATR Stop – Traditional w/Signals is a volatility-based trailing stop indicator built using the Average True Range (ATR) framework originally introduced by J. Welles Wilder. The indicator dynamically adjusts its stop level based on market volatility and flips direction when price crosses the stop, providing clear trend-following signals. The stop is calculated using a traditional ATR method: Long Stop: Close − (ATR × Multiplier) Short Stop: Close + (ATR × Multiplier) Once established, the stop ratchets only in the direction of the trend: In long mode, the stop can only move upward In short mode, the stop can only move downward When price crosses the stop level, the indicator flips direction and generates a BUY or SELL signal. Features • Traditional ATR-based trailing stop • Automatic long/short trend detection • Ratcheting stop that never moves against the trend • Clear BUY / SELL labels on stop crossovers • Optional bar coloring for quick trend visualization • Adjustable ATR period and multiplier for sensitivity control Inputs ATR Period Controls how volatility is measured. Smaller values react faster to price changes. Multiplier Determines the distance between price and the trailing stop. Larger values produce wider stops and fewer signals. Barcolor Toggle Enables or disables bar coloring based on price relative to the stop. How to Use Trend Identification Green Stop / Bars: Price is above the stop → bullish trend Red Stop / Bars: Price is below the stop → bearish trend Signals BUY: Price crosses above the ATR stop SELL: Price crosses below the ATR stop Traders often use the stop to: Identify trend reversals Manage trade exits Trail stops during strong trends Notes This indicator follows the traditional ATR trailing stop structure and does not use Chandelier or highest-high/lowest-low calculations. The stop distance adapts dynamically to market volatility using ATR.
อินดิเคเตอร์ Pine Script®
โดย tgregg75
ATR Trailing Stoploss (Fixed Ratchet Version)**ATR Trailing Stoploss (Fixed Ratchet)** This script is a modification of the original **ATR Trailing Stoploss** indicator. The goal of this version is to preserve the original calculation while correcting the stop behavior so it functions as a **true ratcheting trailing stop**. The indicator plots a volatility-adjusted trailing stop derived from **Average True Range (ATR)** and a **Highest High Value (HHV)** lookback. The stop level adapts to market volatility while tracking price trends. The key improvement is the addition of a **fixed ratchet mechanism**. Once the stop begins moving in a direction, it can only continue in that direction or remain flat until price crosses it and the trend reverses. **Behavior** • In bullish conditions, the stop can **move up or remain flat**, but it will **never move down**. • When price closes below the stop, the direction flips and a **sell signal** is generated. • In bearish conditions, the stop is recalculated and begins tracking the new trend direction. • When price closes back above the stop, a **buy signal** is generated. This behavior prevents the stop from **loosening during an active trend**, which can occur in some ATR-based implementations. **Inputs** • **ATR Period** – Number of bars used to calculate the Average True Range. • **HHV Period** – Lookback window used to determine the highest high used in the stop calculation. • **Multiplier** – ATR multiple used to set the stop distance from price. • **Barcolor** – Option to color candles based on position relative to the stop. **Signals** • **Buy** – Price crosses above the trailing stop. • **Sell** – Price crosses below the trailing stop. **Usage** This indicator can be used for: • trailing stop placement • trend identification • exit timing • volatility-adjusted risk management The stop line will typically **step upward during an uptrend and remain flat during pullbacks**, creating a clear visual representation of the trailing risk level. Original concept based on **ATR trailing stop techniques introduced by J. Welles Wilder**. Sources: Wilder, J. Welles. *New Concepts in Technical Trading Systems*, 1978.
อินดิเคเตอร์ Pine Script®
โดย tgregg75
Ultimate Risk Manager: Fixed Dollar Risk & Position CalculatorAre you tired of manually calculating your position size to risk exactly $10, $50, or $100 per trade? The Ultimate Risk Manager is a professional-grade position sizing and risk calculation tool designed for day traders and scalpers. Instead of guessing your position size and hoping your stop loss doesn't wipe out your account, this tool allows you to set a Fixed Dollar Risk. It tells you exactly how much margin to use so that if your Stop Loss is hit, you lose exactly the amount you planned for. Perfect for futures and leverage traders on any exchange (MEXC, Binance, Bybit, etc.). ✨ Key Features: 🎯 Strict Risk Management: Input your desired risk (e.g., $2.00) and the calculator outputs the exact "Total Position" and "Margin" required based on your Stop Loss distance. 🤖 Auto Long/Short Detection: No need to toggle directions. The script automatically detects if it's a LONG or SHORT based on where you place your Stop Loss relative to your Entry. 💸 Built-in Fee Calculator: Input your exchange's round-trip fee percentage. The table calculates your exact fee cost and provides your Net Profit (after fees) at your Take Profit target. 🧹 Ultra-Minimalist Chart Visuals: Say goodbye to indicator lines cutting through your price action. This script uses short, clean floating markers for Entry, SL, and TP that sit neatly in the empty space on the right side of your chart. 🎨 Customizable UI: Includes a Light/Dark theme toggle, adjustable table positioning, and sliders to push the floating chart markers exactly where you want them. 🛠️ How to Use: Open the indicator Settings (Double-click the table). Under "Trade Setup," enter your Fixed Risk ($), Leverage, and Exchange Fee (%). Under "Price Levels," use the Price Picker tool (the target icon) to click your desired Entry, Stop Loss, and Take Profit levels directly on the chart. Look at the dashboard table! Copy the highlighted Yellow Margin Number and type it directly into your exchange's order box. Protect your capital and trade like a professional by keeping your risk mathematically consistent on every single trade.
อินดิเคเตอร์ Pine Script®
โดย Tolma9202
Viprasol Volume Momentum Breakout Engine## Overview The Volume Momentum Breakout Engine is an oscillator-based signal system that detects high-conviction entries by combining volume analysis with price momentum. It normalizes volume-weighted price changes into a z-score oscillator, then uses either pivot-level breakouts or overbought/oversold crossovers to generate signals. When the oscillator triggers, a signal box appears on the price chart — a confirmed breakout from that box produces the final entry signal with automatic TP/SL management. Built for traders who want volume-confirmed entries without the noise of traditional volume indicators. ## How It Works **Volume Momentum Oscillator (VMO):** 1. Volume is z-score normalized against its own rolling average and standard deviation 2. This normalized volume is multiplied by the bar's price change (close - previous close) 3. The resulting raw momentum is z-score normalized again and scaled by 10 4. The output oscillates around zero — positive values indicate bullish volume momentum, negative values indicate bearish **Two Signal Modes:** *Pivot Breakout Mode (default):* - The oscillator's own pivot highs (above the OB level) and pivot lows (below the OS level) create horizontal lines - When the oscillator breaks above a high pivot line or below a low pivot line, a signal box is created on the price chart - The box captures the signal candle's high and low - When price subsequently breaks out of the box, a confirmed trade entry fires *OB/OS Continuation Mode:* - Simpler approach — signals fire when the oscillator crosses above the OB level or below the OS level - Box creation and breakout logic still applies **Risk Management:** Each confirmed breakout automatically draws entry, SL, and up to 3 TP levels using ATR-based or percentage-based risk calculation. Lines auto-close when SL or the furthest TP is hit. ## Key Features - Volume momentum oscillator with double z-score normalization for clean signals - Two signal modes: Pivot Breakout (higher quality) and OB/OS Continuation (more signals) - Signal boxes on price chart with breakout confirmation - Bar-close confirmation filter to reduce false breakouts from wicks - Signal cooldown to prevent clustering in volatile conditions - Optional EMA trend filter — only take longs above EMA, shorts below - ATR-based or percentage-based stop-loss with configurable R:R take-profit levels - Auto-closing TP/SL lines with shaded risk/reward fill zones - Volume surge detection with background highlighting - Dashboard showing oscillator value, volume status, active boxes, signal counts, and trade info - Fully customizable colors, toggles, and display options - 6 alert conditions with dynamic messages ## How to Use **Getting Started:** 1. Add to any chart — works on all markets and timeframes 2. The oscillator appears in a separate pane below the chart 3. Signal boxes and TP/SL lines appear on the price chart via overlay **Reading the Oscillator:** - Values above the OB level (default 15) = strong bullish volume momentum - Values below the OS level (default -15) = strong bearish volume momentum - In Pivot mode, horizontal lines mark key oscillator levels — breaks trigger signals - Yellow background highlights indicate unusual volume surges **Trading the Signals:** - Green background flash = bullish oscillator signal (box created) - Red background flash = bearish oscillator signal (box created) - Triangle UP below bar = confirmed long breakout from box - Triangle DOWN above bar = confirmed short breakout from box - Entry/SL/TP lines appear automatically with risk/reward fill **Recommended Settings:** - Crypto/Forex (5m-15m): Volume Window 15, OB/OS 12/-12, Cooldown 3 - Stocks (15m-1H): Volume Window 20, OB/OS 15/-15, Cooldown 5 - Indices (1H-4H): Volume Window 25, OB/OS 18/-18, Cooldown 8 ## Settings **Core Settings:** Signal mode selection, volume lookback window, OB/OS threshold levels. **Pivot Settings:** Left/right bars for pivot detection, price direction filter, max pivot line length. **Signal Filters:** Bar-close confirmation, signal cooldown, optional EMA trend filter. **Risk Management:** ATR or percentage SL, ATR period, SL multiplier, TP1/TP2/TP3 risk-reward ratios. **TP/SL Display:** Individual toggles for SL, TP1, TP2, TP3 lines. **Visuals:** Oscillator color, band colors, bull/bear signal colors, volume surge highlighting. **Dashboard:** Show/hide toggle and font size. ## Alerts 1. **Bullish Box Breakout** — Price breaks above a signal box (confirmed long entry) 2. **Bearish Box Breakout** — Price breaks below a signal box (confirmed short entry) 3. **Any Box Breakout** — Either direction breakout 4. **Bullish Oscillator Signal** — Oscillator triggers bullish (box created, before breakout) 5. **Bearish Oscillator Signal** — Oscillator triggers bearish (box created, before breakout) 6. **Volume Surge Detected** — Volume exceeds the surge multiplier threshold All alerts include {{ticker}}, {{close}}, and {{interval}} for dynamic notification messages. ## Limitations & Disclaimer - The oscillator uses z-score normalization which requires sufficient historical data — early bars may produce unstable readings - Volume data quality varies across brokers and instruments; results may differ between data providers - Signal boxes extend until broken — in low-volatility sideways markets, boxes may accumulate - Pivot detection has inherent lag equal to the right lookback period - TP/SL lines are visual guides — they do not execute trades automatically - Past performance does not guarantee future results - This indicator is for educational and analytical purposes only — it is not financial advice. Always use proper risk management. --- *Based on a concept by Uncle_the_shooter. Significantly enhanced with signal filtering (bar-close confirmation, cooldown, trend filter), volume surge detection, dashboard, 6 alert conditions, tooltips, and visual customization by Viprasol.*
อินดิเคเตอร์ Pine Script®
โดย viprasol
Sniper Entry/Exit with SL&TP by KhanSaab V.02Overview KhanSaab Sniper V.02 is a professional-grade trend-following indicator designed for scalping and day trading. It combines momentum, trend alignment, and volatility to identify high-probability entries. Key Features Smart Sniper Candles: * Black Candles: Represent a fresh "Signal" entry (EMA Cross). Orange Candles: Represent a "Retest" setup (Price pulling back to the EMA9/21 ribbon within a trend). Green/Red Outlines: Regardless of body color, outlines show the actual bar close (Bullish/Bearish) for price action clarity. Multi-Factor Dashboard: A 16-item real-time monitor checking RSI (current & 5m), MACD, ADX Strength, Volatility, and VWAP positioning. Dynamic Risk Management: Automatically calculates Stop Loss (SL) and 5 Take Profit (TP) levels based on ATR volatility. Progressive Target Tracking: TP lines change from Green to Turquoise and display a 🔥 icon once hit. How to Trade Buy Signal: Look for a BUY label and a Black candle. Ensure the "Bull Score" on the dashboard is high (>60%). Sell Signal: Look for a SELL label and a Black candle. Ensure the "Bear Score" is dominant. Retest Entry: If you missed the initial move, look for Orange candles touching the EMA Ribbon for a secondary entry. Exit: Take profits at the Turquoise TP levels or trail your stop along the EMA21.
อินดิเคเตอร์ Pine Script®
โดย TheKhanSaahab
58
Stop Loss Cascades (Breakouts) [Kioseff Trading]Hello friends and traders! 🔹Introduction This indicator " Stop-Loss Clustering (Breakouts) " attempts to model trader stop-loss placement logic and identify price areas where a large amount of stop losses might cluster. The idea is, if stop losses are indeed highly concentrated in a specific area, price extending through that area may produce high-velocity breakout conditions via forced order flow . I'll cover this topic more thoroughly throughout the description. For now, just know that stop loss location & size data is not publicly available . Any model of their concentration locations is highly assumptive. However, there's some reasonable academic research we can reference to make worthwhile estimates. Academic references supporting the concepts discussed are listed at the end of this description. To maintain readability, I won't cite individual statements inline. 🔹The Premise 🔸Liquidity, Behavior, and Stop Cascades Markets operate through a continuous limit order book , where two fundamental order types interact: Limit orders , which provide liquidity by resting in the book Market orders , which consume liquidity by exhausting those resting orders This mechanical interaction drives price movement - incoming order flow consuming available liquidity . This begs the question.. Does liquidity distribute evenly across the LOB? If it did : If liquidity were evenly distributed, price impact could be modeled as a relatively smooth function of incoming order flow. But it doesn’t : Liquidity is unevenly distributed. Academic research supports this claim and, regardless, this is an intuitive conclusion most traders arrive at. Liquidity forms localized concentrations and gaps. Liquidity concentrations are commonly referenced as: liquidity shelves , liquidity clusters , liquidity zones . Liquidity gaps are commonly referenced as: liquidity vacuums , thin book zones . As a result, identical order flow can produce very different price movements depending on the state of the order book. Let’s consider an example.. Assume price is trading at $99. The price levels $100, $101, $102 have resting sell limit order concentrations of 100. This is where you come in. You execute a market order buy for 300 size. Your order first exhausts all sell-side resting order concentrations at the $100 level. You still have 200 size that needs to be filled, and the ask price has moved from $100 to $101. Your order will now sequentially exhaust available liquidity at the $101 level, the ask price will increase to $102, and your final 100 size will exhaust the $102 level. To keep the example simple, we’ll say that your order moved price from $99 to $102, and now the ask price is $103. But, you still want to accumulate. The nearest sell-side levels in the LOB are $103, $104, $105. The $103 level has a sell limit order concentration of 500. $104 and $105 both have concentrations of 50. You execute your same market order buy for 300 size. This time, price doesn’t move.. At all.. Instead, you consumed 300 of the 500 size at $103 with your order, and the level remains a barrier. Your order was absorbed by available liquidity. This example demonstrates how price movement depends on available liquidity , not simply the size of incoming orders. In the first scenario, liquidity was thin and the order walked through multiple price levels, causing price to move quickly. In the second scenario, a large concentration of resting liquidity absorbed the same order, preventing price from advancing. 🔸Liquidity Does Not Distribute Evenly Alright, we understand that liquidity doesn’t distribute evenly. And we understand that high concentrations of liquidity can act as price barriers (liquidity shelves) while sparse liquidity can permit rapid price movement - we saw this in our example above. There’s an important question we should ask next before we move on.. If liquidity distributes unevenly, then where does it tend to cluster? And where does it tend to thin? Of course, knowing these tendencies provides multi-purpose advantages. If price approaches a liquidity vacuum - a local block of the order book with thin resting liquidity - rapid price movement can occur without requiring unusually strong aggressive order flow. If price approaches a liquidity shelf - a local block of the order book with thick resting liquidity - price can stall or contract even if the same level of aggressive order flow that previously moved price continues. With this in mind, order flow intensity alone does not determine price movement . The distribution of liquidity across surrounding price levels plays a similarly important role. So, is there any evidence of where liquidity tends to concentrate ? 🔸Empirical Observations Empirical research on limit order books shows that liquidity does not distribute smoothly across the LOB . Instead, depth tends to concentrate at specific price levels, producing irregular profiles with localized peaks in resting liquidity. These concentrations arise because order placement is not random . Traders frequently anchor decisions to widely observed reference prices such as: • prior highs • prior lows • round numbers • widely referenced price extremes Because many traders monitor the same price history, order placement decisions often reference similar price levels. This concept is simpler than it sounds. Let’s use market structure traders for example. Market structure traders frequently reference prior swing highs and swing lows when making decisions about entries, exits, and risk. A trader entering a long position may place their stop-loss below a recent swing low , reasoning that if price breaks that level, the trade idea is invalidated. A trader entering a short position may place their stop-loss above a recent swing high for the same reason. Timeframe price aggregation may differ; however, we’re all looking at roughly the same recent highs and lows when evaluating a chart (structure). When many traders collectively reference the same prices, orders may accumulate near those levels. This produces localized depth concentrations, which traders refer to as liquidity shelves . Liquidity shelves act as temporary barriers where the book contains disproportionately large resting liquidity compared to surrounding prices. 🔸Research documenting liquidity clustering includes : Bourghelle & Cellier (2007) , who find that limit orders cluster at prominent price levels (especially round numbers), creating localized depth concentrations that can act as price barriers. Kavajecz & Odders-White (2004) , who demonstrate that prices identified as support or resistance coincide with higher resting limit order depth These findings suggest that many commonly observed price levels may correspond to real concentrations of liquidity rather than being purely visual artifacts on a chart. Kavajecz & Odders-White (2004) is an important observation for support/resistance traders! Kavajecz & Odders-White (2004) show that levels traders commonly call support and resistance often align with areas where more limit orders are resting in the order book. This suggests a plausible mechanical pathway through which support and resistance levels can emerge! 🔸Liquidity Shelves and Price Interaction When liquidity clusters around a price level, the resulting liquidity shelf can influence how price behaves when it approaches that area. Price interaction with these shelves is state-dependent : If incoming order flow is absorbed, price may stall or reverse If resting liquidity is consumed, price may transition rapidly to the next liquidity zone Once a shelf is depleted, follow-through can accelerate due to thinner liquidity beyond the level Research on order book dynamics supports this mechanical view of price movement. For example: Jean-Philippe Bouchaud, J. Doyne Farmer, and Fabrizio Lillo (2009) demonstrate that price impact emerges from the interaction between order flow and finite liquidity From this perspective, price does not move simply because a level is crossed. Price moves because available liquidity at that level has been consumed. 🔸Latent Liquidity and Stop Clustering In addition to visible liquidity from limit orders, markets also contain latent liquidity . This is where ”Stop-Loss Clustering (Breakouts)” becomes important - we’re almost done! Latent liquidity consists of conditional orders such as stop-losses that are not visible in the order book until triggered . Although these orders aren’t public information, empirical studies show that stop orders tend to cluster near widely referenced price levels . Research by Carol Osler (2001, 2002) using institutional FX order data finds that stop-loss orders frequently accumulate just beyond salient price levels such as prior highs and lows. When these stops trigger, they convert into aggressive market orders and can generate bursts of directional order flow that may accelerate price movement. 🔸Stop-Loss Cascades Stop losses add another layer of latent order flow that isn’t visible in the order book until it triggers. If enough of them sit around the same price area.. Think “hidden pressure” waiting to activate. Nothing happens while price trades nearby, but once that level is traded at, those stops convert into market orders and immediately begin consuming available liquidity. This matters because stop placement is unlikely to be random in most instances. Traders frequently anchor stops to widely observed prices such as prior highs, prior lows, or other prominent structure points, or use volatility methods such as ATR, etc. So when price approaches one of these areas, two things can happen. If the resting liquidity there is large enough, the incoming orders can be absorbed and price may stall or reject. But if that liquidity gets consumed, the stops sitting just beyond the level begin triggering. Those triggered stops add additional market orders, which consume more liquidity and can push price further into the next layer of stops. This creates a cascading effect: price reaches a stop cluster stops trigger and convert into market orders liquidity gets consumed faster price moves further, triggering more stops When this chain reaction starts, price can transition very quickly from a slow battle near the level to rapid expansion through it. This is one of the mechanical reasons why some reference-point breaks barely move, while others accelerate rapidly. 🔹How It Works Now that we understand the why - let’s discuss how the indicator works. 🔸Absorbtion Extremes The image above shows the absorption extremes model. In this model, the indicator treats recent & relevant swing points as plausible stop clustering candidates. You can find similar swing point identification mechanics in other indicators. However, this model assigns subsequent volume to the swing level after its formation. There are limitations and assumptions - let’s go over them. The images above explain how the indicator determines the intensity of a possible stop-cluster around a swing level. There are limitations and assumptions 1: The indicator assigns all “directional volume” to a swing level after it’s formed and while it remains the closest active swing point to the current price. “Buy volume” is assigned to the closest active swing low. “Sell volume” is assigned to the closest active swing high. I say “buy volume” and “sell volume” because there’s assumptions on what constitutes the relevant classification. The indicators follow the traditional two-region tick model for classifying buy volume and sell volume. Higher close = “buy volume” proxy Lower close = “sell volume” proxy Depending on the granularity you select (the indicator is capable of using tick data), this model can be more/less accurate. However, even with tick-level data and bid/ask quotes, trade direction must still be inferred using classification rules. Because some trades occur inside the spread or involve hidden liquidity, perfect classification is not possible without exchange aggressor flags. For assumptions.. The model assigns ALL classified volume to the swing level. In reality, traders use a wide range of risk management methods, and not every position will place a stop loss directly at the most recent swing point. ATR-based stops, percentage-based stops, and other volatility-based methods are also common. Because the true distribution of stop placement is unobservable, the model assumes that positions entered are structurally invalidated at the closest swing level based on their classified direction. As a result, the values displayed by the indicator should be interpreted as relative proxies for potential stop concentration, rather than precise estimates of actual stop-loss size. The displayed magnitudes are intentionally exaggerated and comparative, designed to highlight where stop pressure may accumulate relative to other levels. The images above show how to interpret the indicator when using this model. The image above shows the triggered stop-cluster graph. Each point corresponds to a triggered stop-cluster - assuming it exists. The greater the size attached to that cluster, the further distant the data point is placed. Far away from zero line = large size. Close to zero line = low size. Radiating/glowing points indicate a potentially large cluster trigger. 🔸 Volatility-At-Entry Model (Time Scaled) The Volatility-At-Entry model uses ATR scaled by various timeframes to predict plausible stop loss placements. For this model, the indicator uses the same tick classification model to assign volume directionally. Volume is then dispersed across six common timeframes (1m, 5m, 15m, 30m, 1h, 4h) and 3 common ATR multiples for risk management (1ATR, 1.5ATR, 2ATR). This model assumes traders are entering positions across various timeframes and are scaling risk congruent with those timeframes. For instance, A trader using the 1-minute chart for opportunity is more likely to use a stop loss closer to entry than a trader using the 4-hour chart for opportunity. If this assumption is reasonable to you - great, we can move forward! The image above visualizes the model. Purple-shaded regions indicate a price area with less opportunity for stop loss clustering. Either transaction intensity around eligible price areas was low, or position accumulation wasn’t given sufficient time. Pink-shaded regions indicate a price area with greater opportunity for stop loss clustering. Volume was significant around these regions or price has traded within proximity for extended periods. This model naturally shows more future opportunity than historical outcomes. You can select to show historical outcomes in the settings, this image shows examples of such outcomes. The image above shows the triggered stop loss graph in effect for this model. Stop clustered are distributed across more price areas with this model - from low intensity to high intensity. Therefore, a cluster is almost always “triggering” to some degree. A classification model for what’s typical and what’s unusual is used for the graph in this case. Radiating points always indicate large stop clusters triggered. Anything within the green/pink line indicates usual size. Typical Move The image above explains the nearest cluster information table. The size and location of the nearest buy-stop cluster and sell-stop cluster are recorded. Additionally, the indicator identifies whether clusters of similar size were triggered in the past, and how price behaved following those events. Since all models here are highly assumptive, and similar sized clusters might only have one or two relative neighbors, treat these measurements as a description of history rather than a prediction. The model takes the logarithm of the current stop-volume (buy or sell) to normalize its scale and compare it with a historical dataset of previously observed stop-volume sizes that have also been log-scaled. It then identifies historical observations whose sizes are most similar to the current value, either by selecting all observations within a tolerance range around that value (where the range is based on the typical spacing between historical observations), or by selecting the single closest match. Finally, the model retrieves the historical price moves associated with those matched observations, producing a sample of “typical moves” that occurred when stop-volume magnitude was similar to the current situation. Ratio Meter The stop-cluster ratio meter shows the current sum of active and triggered all buy-side clusters and sell-side clusters. This meter is useful for quick scanning across assets to see if active or recently triggered stop clusters are lopsided. Additional Features The single most important setting outside model selection is the lower timeframe used to retrieve volume from. This setting is set to 1-minute data by default because it works with paid and free plans. If you want better granularity, I strongly suggest changing this setting to either 1-second or 1-tick. This will sacrifice the number of identifiable cluster locations, because better granularity data has less programmatically retrievable values. 🔹Closing Remarks Stop-loss clustering is an appealing concept because it offers a plausible explanation for why some breakouts accelerate so quickly while others stall. When a large number of conditional orders sit near the same price, a breakout through that area can trigger a cascade of market orders that rapidly consume liquidity and push price toward the next available zone. However, it’s important to remember that the models used in this indicator are approximations, not direct measurements. True stop-loss locations and sizes are not publicly observable, and many traders use different risk management techniques that cannot be perfectly inferred from chart data alone. The goal of this indicator is therefore not to identify exact stop locations, but to highlight price areas where stop pressure may plausibly accumulate relative to surrounding levels. Like any model based on behavioral assumptions and historical observations, results should be interpreted probabilistically. Large clusters do not guarantee breakouts, and small clusters do not guarantee quiet price behavior. Instead, the indicator is best used as a tool for context and situational awareness. References General Microstructure and Price Formation Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205–258. O'Hara, M. (1995). Market Microstructure Theory. Blackwell. Biais, B., Glosten, L., & Spatt, C. (2005). Market microstructure: A survey of microfoundations, empirical results, and policy implications. Journal of Financial Markets, 8(2), 217–264. Limit Order Books and Liquidity as Resting Orders Gould, M. D., Porter, M. A., Williams, S., McDonald, M., Fenn, D. J., & Howison, S. D. (2013). Limit order books. Quantitative Finance, 13(11), 1709–1742. Rosu, I. (2009). A dynamic model of the limit order book. Review of Financial Studies, 22(11), 4601–4641. Biais, B., Hillion, P., & Spatt, C. (1995). An empirical analysis of the limit order book and the order flow in the Paris Bourse. Journal of Finance, 50(5), 1655–1689. Liquidity Clustering and Depth Concentration Kavajecz, K. A., & Odders-White, E. R. (2004). Technical analysis and liquidity provision. Review of Financial Studies, 17(4), 1043–1071. Bourghelle, D., & Cellier, A. (2007). Limit order clustering and price barriers on financial markets. Working paper / SSRN. Order Flow and Price Impact Bouchaud, J.-P., Farmer, J. D., & Lillo, F. (2009). How markets slowly digest changes in supply and demand. In Handbook of Financial Markets: Dynamics and Evolution. Stop Orders and Price Cascades Osler, C. L. (2003). Currency orders and exchange-rate dynamics: Explaining the success of technical analysis. Journal of Finance, 58(5), 1791–1819. Osler, C. L. (2005). Stop-loss orders and price cascades in currency markets. Journal of International Money and Finance, 24(2), 219–241. Liquidity Provision and Execution Ho, T., & Stoll, H. (1981). Optimal dealer pricing under transactions and return uncertainty. Journal of Financial Economics, 9(1), 47–73. Almgren, R., & Chriss, N. (2000). Optimal execution of portfolio transactions. Journal of Risk, 3(2), 5–39. Menkveld, A. J. (2013). High frequency trading and the new market makers. Journal of Financial Markets, 16(4), 712–740. Behavioral Anchoring and Attention Kahneman, D., & Tversky, A. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. Barber, B. M., & Odean, T. (2008). All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. Review of Financial Studies, 21(2), 785–818. George, T. J., & Hwang, C. Y. (2004). The 52-week high and momentum investing. Journal of Finance, 59(5), 2145–2176. Mizrach, B., & Weerts, S. (2007). Highs and lows: A behavioral and technical analysis. SSRN working paper.
อินดิเคเตอร์ Pine Script®
โดย KioseffTrading
16
Squeeze Breakout Pro [WillyAlgoTrader]Squeeze Breakout Pro (SBP) is an overlay indicator that detects volatility compression zones where Bollinger Bands contract inside a Keltner Channel, waits for a confirmed directional breakout with volume and momentum validation, and then maps a complete trade framework: structural stop loss at the opposite side of the range, and three take-profit targets calculated as R-multiples of the range width using Fibonacci-based extensions. A built-in dashboard tracks TP hit rates across the chart's history so you can evaluate the setup's statistical behavior on any instrument and timeframe. The concept of a "squeeze" — Bollinger Bands narrowing inside Keltner Channels — has been around for decades. What SBP adds is a structured decision pipeline: it doesn't just flag the squeeze, it qualifies it with ADX to confirm a genuine range-bound condition, requires volume confirmation on the breakout bar, defines exact entry/SL/TP levels, and tracks how often each target is reached — turning a raw volatility observation into a repeatable trade setup with measurable outcomes. 🔍 WHAT MAKES IT ORIGINAL 1. Squeeze qualification via ADX filter. A standard BB-inside-KC squeeze fires frequently and includes many false compressions during trending pullbacks. SBP adds an ADX filter that requires the Average Directional Index to be below a user-defined threshold (default 21) during the squeeze phase. This ensures the consolidation is a genuine range-bound condition — not a brief pause in a strong trend that would produce a low-quality breakout. The combination of BB/KC compression + low ADX produces significantly fewer but higher-quality squeeze zones. 2. Minimum squeeze duration requirement. Not every momentary BB/KC overlap deserves attention. SBP requires a configurable minimum number of consecutive squeeze bars (default 5) before the range is considered valid. Short, fleeting compressions are ignored. This filters out the noise that plagues most squeeze indicators on lower timeframes. 3. Structural stop loss with ATR padding. Instead of a fixed-pip or fixed-percentage stop, SBP places the stop loss at the opposite boundary of the detected consolidation range — the natural structural level — plus a configurable ATR-based padding (default 20% of ATR). For a bullish breakout, SL sits below the range low; for bearish, above the range high. This gives the stop a structural reason to exist, tied to the actual price action that formed the squeeze. 4. R-multiple targets using Fibonacci extensions. Take-profit levels are calculated as multiples of the range width projected from the entry price: — TP1 at 0.618× range width (conservative, first scale-out) — TP2 at 1.0× range width (full range projection) — TP3 at 1.618× range width (golden ratio extension) All three multipliers are fully configurable. The range width serves as the natural "R" unit because it represents the energy stored during compression — wider ranges store more energy and project further. 5. Built-in TP/SL hit-rate tracking. The dashboard counts every breakout signal on the visible chart and tracks how many times each TP level was reached versus how many times the SL was hit. This gives you an instant statistical profile of the setup's behavior on the current instrument and timeframe — no external backtesting tool required. The hit rates update in real time as new signals form. 6. Overlap prevention. An optional toggle (on by default) prevents a new squeeze zone from forming if it would overlap with the previous one, avoiding redundant signals in choppy markets where squeezes cluster. ⚙️ HOW IT WORKS Step 1 — Squeeze detection: On each bar, the script calculates Bollinger Bands (SMA ± StdDev × multiplier) and a Keltner Channel (SMA ± ATR × multiplier) using the same base length. When both BB boundaries sit inside both KC boundaries (upper BB < upper KC AND lower BB > lower KC), the market is in a squeeze. If the ADX filter is enabled, the squeeze is only valid when ADX is also below the threshold — confirming low directional momentum. Step 2 — Range construction: While the squeeze is active, the script tracks the highest high and lowest low across all squeeze bars, building a dynamic range box. When the squeeze condition ends (BB expands beyond KC or ADX rises), the range is locked — but only if the squeeze lasted at least the minimum required bars. The locked range defines the consolidation zone for breakout detection. Step 3 — Breakout confirmation: After the range is locked, the script watches for a confirmed bar close above the range high (bullish breakout) or below the range low (bearish breakout). If volume confirmation is enabled, the breakout bar must also have volume exceeding the SMA(volume) × the configured multiplier. All breakout signals require barstate.isconfirmed — they trigger only on bar close and do not repaint. Step 4 — Trade framework: On breakout, the script calculates and plots: — Entry: the breakout bar's close price — SL: opposite range boundary ± ATR padding — TP1 / TP2 / TP3: entry ± (range width × configured multipliers) These levels extend forward as horizontal lines with a risk/reward fill zone until a target or stop is hit. When TP3 or SL is reached (bar close), the trade is closed and levels stop extending. Step 5 — Hit tracking: Each TP level and the SL are monitored on every confirmed bar after entry. When price touches (via high/low) a TP level, it is marked as hit. If SL is hit before TP3, the trade closes at a loss. The dashboard aggregates these outcomes across all signals on the chart. Volume on forex: On instruments without volume data (common on forex), the volume filter is automatically bypassed — so the indicator works seamlessly across asset classes without manual adjustment. 📖 HOW TO USE Reading the chart: — Yellow-tinted boxes = detected squeeze zones (consolidation ranges) — "Long" label below bar = confirmed bullish breakout — "Short" label above bar = confirmed bearish breakout — Green line = entry level — Red dashed line = stop loss — Dotted/solid green lines = TP1 / TP2 / TP3 — Green-tinted fill between entry and TP3 = reward zone — Red-tinted fill between entry and SL = risk zone Suggested workflow: — Wait for a squeeze zone to form and lock (box appears, disappears when squeeze ends) — Dashboard shows "Pending" when a valid range is ready for breakout — On breakout, evaluate the signal: check TP/SL levels, assess the range width, and decide position size based on the distance to SL — Use TP1 for conservative partial exit, TP2 for second scale-out, TP3 for runner — Review the TP1/TP3 hit rates in the dashboard to calibrate your expectations for the current instrument Timeframe guidance: — Scalping (1–5min): Squeeze Length 10–15, Min Squeeze Bars 3–5, ADX threshold 25 — Intraday (15min–1H): Squeeze Length 15–20, Min Squeeze Bars 5–8, default settings — Swing (4H–Daily): Squeeze Length 20–30, Min Squeeze Bars 8–15, ADX threshold 18–20 — The longer the squeeze and higher the timeframe, the more energy stored → larger projected targets ⚙️ KEY SETTINGS REFERENCE — Squeeze Length (default 13): shared period for BB and KC — higher = detects longer consolidations — BB Multiplier (default 2.0): Bollinger Bands standard deviation multiplier — KC Multiplier (default 1.2): Keltner Channel ATR multiplier — the gap between BB and KC multipliers controls how easily a squeeze triggers — ADX Filter (default On): require low directional movement during squeeze — ADX Threshold (default 21): maximum ADX value for valid squeeze — lower = stricter — Volume Confirmation (default On): require volume spike on breakout bar (auto-disabled on forex) — Volume Spike Mult (default 1.3): breakout volume must exceed SMA × this multiplier — Min Squeeze Bars (default 5): minimum consecutive squeeze bars for valid range — Prevent Overlap (default On): no new squeeze zone if it overlaps the previous one — TP1 / TP2 / TP3 (default 0.618 / 1.0 / 1.618): take-profit as R-multiples of range width — SL Padding (default 0.2): extra padding beyond range boundary, as fraction of ATR 📊 Dashboard The info panel (adjustable to any chart corner) displays: — Current squeeze status (Active with bar count, or None) — Trade direction (Long / Short / —) — Signal state (Active / Pending / Wait) — ADX value with color coding (green if below threshold, red if above) — Total breakout count (Long / Short split) — TP1 and TP3 hit rates as percentages across all signals on chart — Current timeframe and indicator version ⚠️ IMPORTANT NOTES — This indicator does not repaint. All breakout signals require bar-close confirmation (barstate.isconfirmed). — The TP hit rates shown in the dashboard are historical statistics on the current chart , not predictions. They depend entirely on the instrument, timeframe, and date range visible. A 70% TP1 hit rate on past data does not guarantee 70% going forward. — SBP provides a structured trade framework (entry/SL/TP), but it is not a complete trading system . Position sizing, risk management, and trade selection remain the trader's responsibility. — Not every squeeze produces a clean breakout. Some ranges resolve with choppy, directionless price action. The ADX filter and volume confirmation reduce this, but cannot eliminate it entirely. — The indicator works across all asset classes — stocks, crypto, forex, futures, commodities. Volume features auto-adapt to instruments without volume data.
อินดิเคเตอร์ Pine Script®
โดย WillyAlgoTrader
4
Supreme BUY/SELL Signal Indicator By Chaitu50cSupreme Buy/Sell Signals Indicator By Chaitu50c Overview The Supreme Buy/Sell Signals Indicator is a structured price-action based breakout system designed to detect strong consecutive momentum moves within the same trading session. The indicator focuses on clean candle structure and breakout confirmation rather than oscillators or lagging calculations. It is built to identify continuation strength after two consecutive candles in the same direction, followed by a confirmed breakout beyond the previous candle’s extreme. The logic is simple, rule-based, and non-repainting because signals are confirmed only after candle close. This tool is ideal for intraday traders who prefer structure-based entries and want clear, controlled signal behavior without noise. Core Signal Logic The indicator detects bullish signals when two consecutive bullish candles form and the current candle closes above the previous candle’s high. This confirms bullish continuation strength and prints a Buy signal. Similarly, a bearish signal is generated when two consecutive bearish candles form and the current candle closes below the previous candle’s low, confirming downside continuation strength. Signals are only generated after the candle closes, ensuring no repainting during live bars. Additionally, signals are restricted within the same trading day. At the start of a new session, the internal state resets to prevent carryover signals from the previous day. Single Signal Mode The “Single Signal Until Opposite Forms” option controls whether the indicator allows consecutive signals in the same direction. When enabled, once a Buy signal is generated, no additional Buy signals will appear until a valid Sell signal forms. This prevents repetitive entries in strong trends and keeps the chart clean. When disabled, the indicator will generate every valid breakout signal, even if multiple signals occur in the same direction. This setting is particularly useful for traders who prefer one clean setup per move rather than multiple re-entries. Body Breakout Unlock Mode The “Require Body Breakout to Unlock” option introduces a structured reset mechanism. After a signal is generated, the direction becomes temporarily locked. A new signal of the same direction cannot form unless price proves invalidation by closing its body beyond the extreme of the previous signal candle. For example, after a Buy signal, if a bearish candle closes below the low of the signal candle, the system unlocks. Only then can another Buy signal form later. This ensures that repeated signals only occur after meaningful structural invalidation. If disabled, signals can occur again without requiring this structural reset. This mode is designed to improve discipline and reduce signal clustering. Stop Loss Line Logic When enabled, the indicator automatically draws a dynamic Stop Loss line at the extreme of the signal candle. For Buy signals, the stop loss is placed at the signal candle’s low. For Sell signals, it is placed at the signal candle’s high. The Stop Loss line extends forward bar by bar until a candle closes beyond it. Once price closes past the stop level, the line stops extending, indicating that the stop has been hit. Users can customize the stop loss line’s color, style (solid, dashed, dotted), and width. This feature helps traders visually track trade risk and understand when a setup becomes invalid. Display Options The “Show Buy/Sell Signals” toggle controls whether Buy and Sell labels appear on the chart. These labels can be customized in color for both bullish and bearish signals, as well as text color for better chart visibility. The “Show Bar Colors” option highlights the signal candle itself using user-defined bullish or bearish paint colors. This visually emphasizes the exact breakout candle responsible for the signal. Both display options are fully optional and allow traders to keep the chart either minimal or visually descriptive. Session Behavior The indicator resets automatically at the beginning of each new trading day. This ensures that signals, locks, and stop loss tracking do not carry over into the next session. The logic is designed specifically for intraday use where daily session separation is important. Alerts Built-in alert conditions are included for both Buy and Sell signals. Traders can create TradingView alerts directly from the indicator to receive notifications whenever a valid consecutive breakout occurs. Practical Use Cases This indicator is particularly effective in trending intraday environments where momentum continuation setups perform well. It can be used for breakout trading, pullback continuation entries, and structured momentum strategies. Traders may combine it with higher timeframe bias, support and resistance levels, or volume confirmation to filter trades further. It works especially well when aligned with broader market structure. Testing & Optimization This indicator has been personally tested on the NIFTY chart using the 5-minute timeframe. The logic performed effectively in capturing structured intraday continuation moves within active market sessions. However, traders are encouraged to test and optimize it according to their own strategy and risk management rules before live deployment.
อินดิเคเตอร์ Pine Script®
โดย chaitu50c
4
Gold/Spread AlgoXAUUSD 1-Minute RSI Scalping Strategy – Mean-Reversion with Fixed Exits This open-source strategy is a high-frequency, counter-trend scalping system designed specifically for **XAUUSD (Gold)** on the 1-minute timeframe. Core Logic The strategy uses classic RSI(14) to identify short-term overextension: - Long entry when RSI drops below oversold (default 30) → expects quick snap-back - Short entry when RSI rises above overbought (default 70) → expects quick pullback Entries are taken only when flat (no pyramiding). Exits are fixed in pips and set immediately on entry: - Take Profit: +10 pips (0.10 in XAUUSD price) - Stop Loss: –5 pips (0.05 in XAUUSD price) - Built-in Risk:Reward = 1:2 This fixed structure gives the system positive mathematical expectancy even with moderate win rates (≈55–65% before costs), provided gold continues to exhibit frequent mean-reversion behavior on 1-minute charts. Why this simple approach? Gold is one of the most volatile and momentum-driven instruments on very short timeframes. Pure RSI extremes often capture quick exhaustion moves after news spikes, order flow imbalances, or session transitions — especially during London/NY overlap. Fixed pip targets prevent over-optimization and mimic real broker execution more closely than dynamic trailing or percentage-based exits. Important Realism & Backtesting Notes To produce non-misleading results, use these settings when publishing/testing: - Initial Capital: $10,000 – $30,000 (realistic retail size) - Position sizing: fixed 0.10–0.30 lots or 1–3% equity per trade - Commission: 5–8 USD round-turn per lot (typical ECN/raw-spread) - Slippage: 3–8 ticks (≈0.03–0.08 in price) — gold spreads widen during volatility - Minimum dataset: 12–36 months of 1-minute data (aim for 800–2000+ trades) - Risk per trade: usually 0.5–1.5% with defaults — never exceeds sustainable levels Results vary significantly: - Strongest in ranging or mildly trending sessions - Weaker during strong directional moves or major news (NFP, FOMC, geopolitics) - Expect drawdowns during trending regimes — this is NOT a trend-following system Visual & Dashboard Elements - RSI line + fill (blue/orange background) + overbought/oversold zones - BUY/SELL triangles at entry points - Professional top-right dashboard showing: - Net Profit & Loss - Total Trades / Win Rate / Profit Factor - Winning / Losing Trades - Current RSI value - Position status (LONG / SHORT / FLAT) - TP:SL ratio Alerts - 🟢 LONG ENTRY – RSI oversold - 🔴 SHORT ENTRY – RSI overbought How to Use 1. Apply to XAUUSD 1-minute chart only 2. Use realistic commission/slippage in Strategy Tester 3. Trade primarily during London & New York sessions for best liquidity 4. Avoid major news events or widen stops manually 5. Forward-test on demo for 2–3 months minimum 6. Always size conservatively — never risk more than 1–2% per trade Publish Recommendation - Use a clean chart: only this strategy, no extra indicators/drawings - Show realistic tester results with commission/slippage applied - Screenshot during active session with visible entry signals + dashboard Educational tool — open-source for learning and testing. Not financial advice. Gold 1-minute trading is extremely volatile and carries high risk of loss. Trade responsibly.
กลยุทธ์ Pine Script®
โดย uzair2join
Risk & Lot Calculator PanelFXMANS Risk & Lot Panel Smart Risk Management Tool for TradingView - Overview FXMANS Risk & Lot Panel is a lightweight and professional risk management tool designed to help traders calculate position size (lot) and take-profit levels directly on the chart, without cluttering the screen. The panel is displayed as a minimal table in the top-right corner of the chart and automatically adapts to the currently opened symbol. This tool focuses on clarity, precision, and usability, making it suitable for scalpers, day traders, and swing traders. - Key Features Automatic Direction Detection The script can automatically determine BUY or SELL direction based on: Entry Price Stop Loss Price Logic: Stop Loss below Entry → BUY Stop Loss above Entry → SELL Manual override is available if auto direction is disabled. Risk-Based Lot Size Calculation Calculates position size based on: User-defined risk amount in USD Distance between Entry and Stop Loss Symbol-specific tick size and point value Ensures consistent risk management across all markets. Automatic Take Profit (RR Based) Take Profit is calculated automatically using a predefined Risk / Reward (RR) ratio. Supports both BUY and SELL scenarios. - Symbol-Aware Calculation Uses TradingView’s built-in symbol properties: syminfo.mintick syminfo.pointvalue Works correctly on: Forex Indices Metals Crypto - Minimal & Non-Intrusive UI Small, fixed panel located at the top-right corner Designed to avoid covering price action Clean FXMANS-style color palette - Safe Panel Size Control Panel size can be adjusted from settings: Small Medium Large Size changes are handled without modifying layout geometry, preventing UI bugs. - How It Works Enter your Entry Price and Stop Loss Price Define your Risk Amount ($) Set your desired Risk / Reward ratio The script automatically calculates: Trade Direction (BUY / SELL) Lot Size Take Profit Level All results are displayed instantly in the panel - Example Use Case Risk: $100 Entry: 1.0850 Stop Loss: 1.0800 RR: 2.0 - The panel will automatically display: Direction: BUY Lot Size adjusted to risk exactly $100 Take Profit at 2R - Important Notes Entry and Stop Loss prices must be valid (greater than zero). The tool does not place trades automatically. Calculations are for position sizing only and may vary slightly depending on broker specifications. - Disclaimer This script is intended for educational and analytical purposes only. Trading involves risk, and users are responsible for their own trading decisions. - Ideal For Traders who follow strict risk management rules Forex, crypto, and index traders Scalpers and intraday traders Anyone who wants clean and fast position sizing on TradingView
อินดิเคเตอร์ Pine Script®
โดย FXmans
Dynamic Strike Selection Indicator [ARJO]Dynamic Strike Selection Indicator OVERVIEW The Dynamic Strike Selection Indicator is a visual analysis tool designed for traders observing NSE (National Stock Exchange of India) instruments, particularly those interested in options. It displays a trend-based oscillator in the lower chart pane and automatically calculates option strike prices , presenting them in an easy-to-read table. The indicator helps users observe trend changes and understand how option strikes might be selected based on current market conditions. IT has a dashboard that shows you: Where the trend might be heading (through the oscillator) What option strikes align with the current price level When trend transitions occurred CONCEPTS This indicator combines several technical analysis concepts in a beginner-friendly format: 1. Trend Observation (Chandelier Exit) The indicator uses a method called "Chandelier Exit" which observes price volatility to identify potential trend directions. When the indicator shows green, it suggests an upward trend pattern; red suggests a downward pattern. These are reference points, not predictions. 2. Smoothed Price Movement Raw price data can be noisy. This indicator applies mathematical smoothing (called "Ehlers 2-Pole filter") to reduce short-term fluctuations, making it easier to observe the underlying trend direction. 3. Momentum Oscillator The oscillator (displayed as bars and lines in the lower pane) shows the difference between smoothed price and its moving average. Positive values suggest upward momentum; negative values suggest downward momentum . This is similar to how MACD or LBR works. 4. Strike Price Calculation For option traders , the indicator automatically calculates: ATM (At-The-Money): The strike price closest to the current underlying price OTM (Out-of-The-Money): Strike prices at a distance from ATM, based on your settings These calculations use standard rounding methods based on each instrument's official strike interval. FEATURES Visual Components: Color-Coded Oscillator: Green/teal for potential uptrend, purple/red for potential downtrend Histogram Display: Visual bars showing momentum strength Chandelier Exit Lines: Plotted on the main price chart as reference levels Information Table: Displays calculated strikes, timestamps, and optional tracking data Supported Instruments: Major indices: NIFTY, BANKNIFTY Popular stocks: RELIANCE, HDFCBANK, ICICIBANK, INFY, TCS, SBIN, and more Any NSE instrument (using manual strike interval setting) Flexible Configuration: Choose between "Sell Mode" and "Buy Mode" perspectives Customize strike interval for any instrument Adjust sensitivity of trend detection Modify visual appearance (colors, table position, text size) Track entry prices and observe P&L calculations (for reference only) Features: Automatic strike interval detection for predefined instruments Manual override option for custom requirements Real-time option premium fetching (where available) Timestamp recording of trend transitions Active trade highlighting based on current trend HOW TO USE Step 1: Adding the Indicator Open your TradingView chart with an NSE instrument (e.g., NIFTY, BANKNIFTY, or any stock) Search for " Dynamic Strike Selection Indicator " in the Indicators menu Click to add it to your chart You'll see an oscillator appear in a pane below your price chart and a table in the corner Step 2: Basic Settings Click the settings (gear icon) on the indicator. Here are the key settings to understand: Symbol Settings: Symbol Source: Keep it on " Use Chart Symbol " to analyze whatever instrument is on your chart Custom Symbol: Only change if you want to analyze a different instrument while viewing another chart Expiry Date: Set the expiry date of the option contracts you're observing Use the dropdown menus for Day, Month, and Year Example: For 30th January 2025, select Day: 30, Month: 01, Year: 25 Trade Entry (Optional): Trade Mode: Choose "Sell" or "Buy" based on your observation perspective Lot Size: Enter your intended lot size for P&L calculation reference PUT/CALL Entry Price: Manually enter prices if you want to track reference P&L OTM Strike Distance: Default is 4 (means 4 strikes away from ATM) Increase for further OTM strikes, decrease for closer strikes Step 3: Understanding the Display The Oscillator (Lower Pane): Green/Teal Bars: Suggest bullish momentum characteristics Purple/Red Bars: Suggest bearish momentum characteristics Zero Line: The reference point - above suggests strength, below suggests weakness Color Change: When the oscillator changes from red to green (or vice versa), it indicates a potential trend transition Active Row Highlighting: In Sell Mode: Green background on PUT row during uptrend, Red background on CALL row during downtrend In Buy Mode: Green background on PUT row during downtrend, Red background on CALL row during uptrend This helps you observe which strike aligns with the current trend direction Visual Customization: Change oscillator colors under "Color Settings" Adjust table position, size, and transparency under "Table Settings" Modify table colors to match your chart theme NOTES FOR BEGINNERS Start Simple: Use default settings first. Don't change too many parameters initially. Paper Trade First: Observe the indicator for several days before considering any real trades. Note how often trend transitions occur and how strikes align. Understand Your Instrument: Know the strike interval for your chosen stock/index. NIFTY/BANKNIFTY use 100, most stocks use 10, 20, or 50. Timeframe Matters: The indicator behaves differently on different timeframes. A 5-minute chart will show more transitions than a 1-hour chart. Use with Other Analysis: This indicator is one tool among many. Combine with price action, support/resistance, and volume analysis. Don't Chase: Just because a transition occurs doesn't mean you must act. Observe the quality of the move. Backtest Observations: Use TradingView's replay feature to observe how the indicator performed historically. CONCLUSION The Dynamic Strike Selection Indicator serves as an educational tool for observing trend-based oscillator patterns and understanding how option strikes might be mathematically selected based on current market conditions. It combines visual trend analysis with structured strike price calculations, helping users study the relationship between momentum patterns and option strike references. The indicator is designed to enhance chart interpretation skills and provide transparency into strike selection methodologies. It does not predict future price movements or guarantee any outcomes. Users are encouraged to use it as one component of a broader analytical approach, always conducting independent research and maintaining realistic expectations about market analysis tools. DISCLAIMER This indicator is strictly for educational and analytical observation purposes. It is NOT a trading system, signal generator, or financial advisory service. What This Indicator Does NOT Do: Does not predict future price movements with certainty Does not guarantee profitable trades or outcomes Does not constitute financial, investment, or trading advice Does not replace the need for independent research and analysis Does not eliminate trading risks or ensure success What You Must Understand: All calculated strikes, P&L values, and trend observations are informational references only Option trading involves substantial risk and can result in complete loss of invested capital Past indicator performance does not predict future results Trend transitions shown are historical observations, not predictions The "active" highlighting is a visual reference tool, not a trade recommendation Conduct thorough independent research before taking any trading decision. and consult qualified, licensed financial professionals for personalized advice. The creator of this indicator is not a registered investment advisor, broker, or financial planner. This tool is provided "as is" without warranties of any kind. By using this indicator, you acknowledge that you understand these risks and limitations, and you agree that all trading decisions and their consequences are solely your responsibility. If you do not fully understand these risks or are unsure about options trading, do not use this indicator for live trading .
อินดิเคเตอร์ Pine Script®
โดย ARJO_2019
Luminous Volatility Flux [Pineify]``` Luminous Volatility Flux - Dynamic ATR Bands with Hull Moving Average Baseline The Luminous Volatility Flux indicator is a sophisticated trend-following and volatility analysis tool that combines the responsiveness of the Hull Moving Average (HMA) with adaptive ATR-based bands that expand and contract based on real-time market volatility conditions. This indicator helps traders identify trend direction, volatility regimes, and potential breakout opportunities with high-probability entry signals. Key Features Hull Moving Average baseline for low-lag trend detection Dynamic volatility bands that breathe with market conditions Flux Factor system comparing short-term vs long-term ATR Volatility-filtered breakout signals to reduce false entries Gradient-filled zones for intuitive visual analysis Real-time bar coloring based on trend direction How It Works The indicator operates on three core calculation layers: 1. Hull Moving Average Baseline The foundation of this indicator is the Hull Moving Average, calculated using the formula: WMA(2*WMA(n/2) - WMA(n), sqrt(n)). Unlike traditional moving averages, the HMA dramatically reduces lag while maintaining smoothness. This makes it ideal for identifying trend changes earlier than conventional EMAs or SMAs. When the HMA is rising, the baseline turns green indicating bullish momentum; when falling, it turns red for bearish conditions. 2. Volatility Flux Factor The unique aspect of this indicator is the Flux Factor calculation. It compares short-term ATR (default 14 periods) against long-term ATR (default 100 periods) to determine the current volatility regime: Flux Factor > 1.0 = Volatility Expansion (market is more volatile than usual) Flux Factor < 1.0 = Volatility Compression (market is in a squeeze) This ratio creates a dynamic multiplier that causes the bands to expand during high volatility periods and contract during consolidation phases. 3. Dynamic Band Calculation The upper and lower bands are calculated as: Baseline ± (Short ATR × Multiplier × Flux Factor). This means the bands automatically widen when volatility increases and tighten during quiet market conditions, providing context-aware support and resistance levels. Trading Ideas and Insights Trend Following: Trade in the direction of the baseline color. Green baseline suggests looking for long opportunities; red baseline suggests short opportunities. Volatility Breakouts: The indicator plots "Flux" signals when price breaks above the upper band (bullish) or below the lower band (bearish) during volatility expansion phases. These signals indicate potential momentum continuation. Mean Reversion: During compression phases (tight bands), prices often revert to the baseline. Consider taking profits near the bands and re-entering near the baseline. Squeeze Detection: When bands are unusually tight (Flux Factor < 1), the market is coiling for a potential explosive move. Prepare for breakout trades. How Multiple Indicators Work Together This indicator integrates three distinct technical analysis concepts into a cohesive system: The Hull Moving Average provides the trend direction foundation with minimal lag. The dual ATR comparison (short vs long) creates the Flux Factor that measures relative volatility. The dynamic bands combine both elements, using the HMA as the center and ATR-based deviations that scale with the Flux Factor. The synergy works as follows: The HMA identifies the trend, the Flux Factor determines market regime (expansion vs compression), and the bands provide dynamic support/resistance levels. Breakout signals only trigger when all components align - price breaks the band AND volatility is expanding. This multi-layered approach filters out many false signals that would occur with static bands or simple moving average crossovers. Unique Aspects Unlike Bollinger Bands that use standard deviation, this indicator uses ATR ratio-based dynamic bands that better capture directional volatility The Flux Factor concept is original - comparing two ATR timeframes to create a volatility regime indicator Breakout signals are filtered by volatility expansion, reducing false signals during choppy, low-volatility conditions Gradient fills provide instant visual feedback on the strength of the bullish or bearish zones How to Use Add the indicator to your chart. It works on all timeframes and instruments. Observe the baseline color for overall trend direction (green = bullish, red = bearish). Watch for band expansion/contraction to gauge volatility regime. Look for "Flux" signals for potential breakout entries - these appear only during volatility expansion. Use the gradient zones to identify potential support (lower green zone) and resistance (upper red zone) areas. Customization Baseline Length (default: 24) - Controls the HMA period. Lower values = more responsive but noisier; higher values = smoother but more lag. ATR Length (default: 14) - Short-term ATR period for band calculation. Standard setting works well for most markets. Flux Multiplier (default: 2.0) - Controls band width. Increase for wider bands (fewer signals), decrease for tighter bands (more signals). Flux Sensitivity (default: 100) - Long-term ATR period for Flux Factor calculation. Higher values create a more stable volatility reference. Conclusion The Luminous Volatility Flux indicator offers traders a comprehensive view of market conditions by combining trend detection, volatility analysis, and signal generation into one elegant tool. Its adaptive nature makes it suitable for various market conditions - from trending markets where it identifies direction and momentum, to ranging markets where it highlights compression and potential breakout zones. The volatility-filtered signals help traders focus on high-probability setups while the visual gradient fills make chart analysis intuitive and efficient. Note: This indicator is designed as a technical analysis tool. Always use proper risk management and consider multiple factors before making trading decisions. Past performance does not guarantee future results. ```
อินดิเคเตอร์ Pine Script®
โดย Pineify
Stop lossHi all! This simple indicator will alert you when a price limit is reached (stop loss). I've created this indicator out of 2 reasons: 1. My broker only lets me to set a stop loss limit until a certain time. The time is a couple of months forward in time, but with a Tradingview plan that lets you set open-ended alerts this can alert you later than that. 2. I would like a stop loss on closing price only. This will not get you stopped out by a wick, but needing a 'close' price to be equal or below (for long trades) or equal or above (for short trades). So this indicator will alert you when your stop to is hit and exit with a 'runtime.error' on the tick after the alert. It won't give you any good looking visuals, just a red line of your chosen stop loss price. Set it in the settings or click '...'->'Reset points...' and drag the line to your desired limit price. Also choose if your trade direction is long or short and if the bar that enters below/above your stop loss needs to be closed. Note that there's a limitation depending on your style of trading (short term or long term) and if your Tradingview subscription provides live data or not. Also this will only alert you, not buy (for short trades) or sell (for long trades) your contracts when the stop loss is hit. Best of trading luck!
อินดิเคเตอร์ Pine Script®
โดย mickes
WN 5-20-50 SMA Setup (Discrete Lines = SL TP) Multiple Entries Pretty Simple Script as I got this idea from a YouTuber that showed us how to use AI to make TradingView Indicators. When the 5 day Simple Moving Average Goes Above the 20 day Simple Moving Average it issues a BUY Signal when the Trend itself is over the 50 day Simple Moving Average. When the 5 day Simple Moving Average Goes Below the 20 day Simple Moving Average it issues a SELL Signal when the Trend itself is under the 50 day Simple Moving Average. The Green Cloud Represents price over the 50 day Simple Moving Average. BUY signals will only show up in the green cloud. The Red Cloud Represents price under the 50 day Simple Moving Average. SELL signals will only show up in the green cloud. The lines represent Stop Loss and two Take Profit Levels. Take Profit 1 is 1.5x the stop loss and Take Profit 2 is 3x the Stop Loss. This version of the Script has multiple Trend signals for entries so you can scale into a trade when the Trend is being aggressive.
อินดิเคเตอร์ Pine Script®
โดย wnoor0304
2
Crypto ATR Position Sizer + LeverageThis indicator is a "heads-up display" for crypto traders who need real time risk management without manually calculating position sizes. It uses Average True Range (ATR) to dynamically place Stop Losses based on current market volatility and automatically calculates the exact position size needed to respect your risk percentage. ​Key Features: ​Dynamic Risk Management: Stop Loss and Take Profit levels adjust automatically based on market volatility (ATR). ​Auto-Position Sizing: Calculates the exact Quantity (in coins) and Position Value (in $) to ensure you never risk more than your defined percentage (e.g., 1% or 2%). ​Leverage Calculator: Instantly sees the "Required Leverage" needed to execute the trade size relative to your account balance. ​Crypto Precision: Displays up to 8 decimal places, making it compatible with both Bitcoin and low-sat altcoins. ​Toggable Direction: Switch between Long and Short biases instantly via the settings menu. ​How to Use: ​Add the indicator to your chart. ​Open Settings and input your Account Balance and Risk %. ​Choose your direction (Long or Short) using the checkboxes. ​The label will display your Entry, SL, TP, Coin Quantity, and Required Leverage in real-time.
อินดิเคเตอร์ Pine Script®
โดย MonkeyPhone
ATR Trailing StopATR Trailing Stop (Dynamic Volatility Regimes) ============================================== This indicator implements an adaptive ATR-based trailing stop for long positions. The stop automatically adjusts based on stock volatility, tightening during fast movements and widening during calm periods. It is designed as a trade management tool to help protect profits while staying aligned with strong trends. How It Works ------------ * Tracks the highest high over a configurable lookback window and ensures this “top” never moves downward. * Computes the trailing stop as:**Top – ATR × Dynamic Multiplier** * The ATR multiplier changes depending on volatility: * Low volatility → Wide stop (slower trailing) * Medium volatility → Standard trailing * High volatility → Tight stop (faster trailing) * The trailing stop only moves upward; it never decreases. * If price falls significantly below the stop (default: 5%), the system resets and begins trailing from a new top. * An optional price-scale label displays: * Current stop value * Volatility regime (LOW / MID / HIGH) * ATR percentage and active multiplier Alerts ------ Two alert conditions are included: ### Trailing Stop – Near Triggers when price moves within a user-defined percentage above the stop. ### Trailing Stop – Hit Triggers when price touches or closes below the stop. How to Use ---------- 1. Add the indicator to any chart (daily timeframe recommended). 2. Configure: * ATR length * Lookback bars * Volatility thresholds * ATR multipliers 3. Set alerts for early warnings or stop-hit events. 4. Use the stop line as a dynamic risk-management tool to guide exit decisions and protect profits. Notes ----- * Designed for long-only trailing logic. * This indicator does not generate entry signals; it is intended for stop management.
อินดิเคเตอร์ Pine Script®
โดย mike_penzin
Adaptive Risk Management [sgbpulse]1. Introduction: Adaptive Risk Management is an advanced indicator designed to provide traders with a comprehensive risk management tool directly on the chart. Instead of relying on complex manual calculations, the indicator automates all critical steps of trade planning. It dynamically calculates the estimated Entry Price , the Stop Loss location, the required Position Size (Quantity) based on your capital and risk limits, and the three Take Profit targets based on your defined Reward/Risk ratios. The indicator displays all these essential data points clearly and visually on the chart, ensuring you always know the potential risk-reward profile of every trade. ARM : The A daptive R isk M anagement every trader needs to ARM themselves with. 2. The Critical Importance of Risk Management Proper risk management is the cornerstone of successful trading. Consistent profitability in the market is impossible without rigorously defining risk limits. Risk Control: This starts by setting the maximum risk amount you are willing to lose in a single trade (Risk per Trade), and limiting the total capital allocated to the position (Max Capital per Trade). Defining Boundaries (Stop Loss & Take Profit): It is mandatory to define a technical Stop Loss and a Take Profit target. A fundamental rule of risk management is that the Reward/Risk Ratio (R/R) must be a minimum of 1:1. 3. Core Features, Adaptivity, and Customization The Adaptive Risk Management indicator is engineered for use across all major trading styles, including Swing Trading, Intraday Trading, and Scalping, providing consistent risk control regardless of the chosen timeframe. Real-Time Dynamic Adaptivity: The indicator calculates all risk management parameters (Entry, Stop Loss, Quantity) dynamically with every new bar, thus adapting instantly to changing market conditions. Trend Direction Adjustment: Define the analysis direction (Long/Uptrend or Short/Downtrend). Intraday Session Data Control: Full control over whether lookback calculations will include data from Extended Trading Hours (ETH), or if the daily calculations will start actively only from the first bar of Regular Trading Hours (RTH). Status Validation: The indicator performs critical status checks and displays clear Warning Messages if risk conditions are not met. 4. Intuitive Visualization and Real-Time Data Dynamic Tracking Lines: The Entry Price and Stop Loss lines are updated with every new bar. Crucially, the length of these lines dynamically reflects the calculation's lookback range (e.g., the extent of Lookback Bars or the location of the confirmed Pivot Point), providing a visual anchor for the calculated price. Risk and Reward Zones: The indicator creates a graphical background fill between Entry and Stop Loss (marked with the risk color) and between Entry and the Reward Targets (marked with the reward color). Essential Information Labels: Labels are placed at the end of each line, providing critical data: Estimated Entry Price, Stock/Contract Quantity (Quantity), Total Entry Amount, Estimated Stop Loss, Risk per Share, Total Financial Risk (Risk Amount), Exit Amount, Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3. 4.1. Data Window Metrics (16 Full Series) The indicator displays 16 full data series in the TradingView Data Window, allowing precise tracking of every calculation parameter: Entry Data: Estimated Entry, Quantity, Entry Amount. Risk Data (Stop Loss): Estimated Stop Loss, Risk per Share, Risk Amount, Exit Amount. Reward Data (Take Profit): Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3. 4.2. Instant Tracking in the Status Line The indicator displays 6 critical parameters continuously in the indicator's Status Line: Estimated Entry, Quantity, Estimated Stop Loss, Estimated Take Profit 1/2/3. 5. Detailed Indicator Inputs 5.1 General Focused Trend: Defines the analysis direction (Uptrend / Downtrend). Max Capital per Trade: The maximum amount allocated to purchasing stocks/contracts (in account currency). Risk per Trade: The maximum amount the user is willing to risk in this single trade (in account currency). ATR Length: The lookback period for the Average True Range (ATR) calculation. 5.2 Intraday Session Data Control Regular Hours Limitation : If enabled, all daily lookback calculations (for Entry/Stop Loss anchor points) will begin strictly from the first Regular Trading Hours (RTH) bar. This limits the lookback range to the current RTH session, excluding preceding Extended Trading Hours (ETH) data. Only relevant for Intraday charts. Default: False (Off) 5.3 Entry Inputs Entry Method: Selects the entry price calculation method: Current Price: Uses the closing price of the current bar as the estimated entry point (Market Entry). ATR Real Bodies Margin : - Uptrend: Calculates the Maximum Real Body over the lookback period + the calculated safety margin. - Downtrend: Calculates the Minimum Real Body over the lookback period - the calculated safety margin. ATR Bars Margin : - Uptrend: Calculates the Maximum High price over the lookback period + the calculated safety margin. - Downtrend: Calculates the Minimum Low price over the lookback period - the calculated safety margin. Lookback Bars: The number of bars used to calculate the extremes in the ATR-based entry methods (Relevant only for ATR Real Bodies Margin and ATR Bars Margin methods). ATR Multiplier (Entry): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to determine the estimated Entry Price. 5.4 Risk Inputs (Stop Loss) Risk Method: Selects the Stop Loss price calculation method. ATR Current Price Margin : - Uptrend: Entry Price - the calculated safety margin. - Downtrend: Entry Price + the calculated safety margin. ATR Current Bar Margin : - Uptrend: Current Bar's Low price - the calculated safety margin. - Downtrend: Current Bar's High price + the calculated safety margin. ATR Bars Margin : - Uptrend: Lowest Low over lookback period - the calculated safety margin. - Downtrend: Highest High over lookback period + the calculated safety margin. ATR Pivot Margin : - Uptrend: The first confirmed Pivot Low point - the calculated safety margin. - Downtrend: The first confirmed Pivot High point + the calculated safety margin. Lookback Bars: The lookback period for finding the extreme price used in the 'ATR Bars Margin' calculation. ATR Multiplier (Risk): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to place the estimated Stop Loss. Note: If set to 0, the Stop Loss will be placed exactly at the technical anchor point, provided the Minimum Margin Value is also 0. Minimum Margin Value: The minimum price value (e.g., $0.01) the Stop Loss margin buffer must be. Pivot (Left / Right): The number of bars required on either side of the pivot bar for confirmation (relevant only for the ATR Pivot Margin method). 5.5 Reward Inputs (Take Profit) Show Take Profit 1/2/3: ON/OFF switch to control the visibility of each Take Profit target. Reward/Risk Ratio 1/ 2/ 3: Defines the R/R ratio for the profit target. Must be ≥1.0. 6. Indicator Status/Warning Messages In situations where the Stop Loss location cannot be calculated logically and validly, often caused by a mismatch between the configured Focused Trend (Uptrend/Downtrend) and the actual price action, the indicator will display a warning message, explaining the reason and suggesting corrective action. Status Message 1: Pivot reference unavailable Condition: The Stop Loss is set to the "ATR Pivot Margin" method, but the anchor point (Pivot) is missing or inaccessible. Message Displayed: "Pivot reference unavailable. Wait for valid price action, or adjust the Regular Hours Limitation setting or Pivot Left/Right inputs." Status Message 2: Calculated Stop Loss is unsafe Condition: The calculated Stop Loss is placed illogically or unsafely relative to the trend direction and the Entry price. Message Displayed: "Calculated Stop Loss is unsafe for current trend. Wait for valid price action or adjust SL Lookback/Multiplier." 7. Summary The Adaptive Risk Management (ARM) indicator provides a seamless and systematic approach to trade execution and risk control. By dynamically automating all critical trade parameters—from Entry Price and Stop Loss placement to Position Sizing and Take Profit targets—ARM removes emotional bias and ensures every trade adheres strictly to your predefined risk profile. Key Benefits: Systematic Risk Control: Strict enforcement of maximum capital allocation and risk per trade limits. Adaptivity: Dynamic calculation of prices and quantities based on real-time market data (ATR and Lookback). Clarity and Trust: Clear on-chart visualization, precise data metrics (16 series), and unambiguous Status/Warning Messages ensure transparency and reliability. ARM allows traders to focus on strategy and analysis, confident that their execution complies with the core principles of professional risk management. Important Note: Trading Risk This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever. Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
อินดิเคเตอร์ Pine Script®
โดย sgbpulse
1
Position Size Calculator + Live R/R Panel — SMC/ICT (@PueblaATH)Position Size + Live R/R Panel — SMC/ICT (@PueblaATH) Position Size + Live R/R Panel — SMC/ICT (@PueblaATH) is a professional-grade risk management and execution module built for Smart Money Concepts (SMC) and ICT Traders who require accurate, repeatable, institution-style trade planning. This tool delivers precise position sizing, R:R modeling, leverage and margin projections, fee-adjusted PnL outcomes, and real-time execution metrics—all directly on the chart. Optimized for crypto, forex, and futures, it provides scalpers, day traders, and swing traders with the clarity needed to execute high-quality trades with confidence and consistency. What the Indicator Does Institutional Position Sizing Engine Calculates position size based on account balance, % risk, and SL distance. Supports custom minimum lot size rounding across crypto, FX, indices, and derivatives. Intelligent direction logic (Auto / Long / Short) based on SMC/ICT structure. Advanced Risk/Reward & Profit Modeling Real-time R:R ratio using actual rounded position size. Live PnL readout that updates with price movements. Gross & net profit projections with full fee deduction. Execution Planning with Draggable Levels Entry, SL, and TP levels fully draggable for fast scenario modeling. Automatic projected lines backward/forward with clean label alignment. TP and SL tags include % movement from Entry, ideal for SMC/ICT journaling. Precise modeling of real exchange fee structures Maker fee per side Taker fee per side Mixed fee modes (Maker entry, Taker exit, Average, etc.) Leverage & Margin Forecasting Margin requirements displayed for 3 customizable leverage settings. Helps traders understand capital commitment before executing the trade. Useful for futures, crypto perps, and CFD setups. Clean HUD Panel for Rapid Decision-Making A full professional trading panel displays: Target & actual risk Position size Entry / SL / TP TP/SL percentage distance Gross profit Net profit (after fees) Fees @ TP and @ SL Live PnL Margin requirements Optimized for SMC & ICT Workflows Perfect for traders using: Breakers, FVGs, OBs Liquidity sweeps Session models Precision entries (OTE, Displacement, Rebalancing) Leverage-based execution (crypto perps, futures) How to Use It Attach the indicator to your chart. Set account balance, risk %, fee model, and leverage presets. Drag Entry, SL, and TP to shape the setup. View instant calculations of: Position size; R:R; Net PnL after fees; Margin required Use it as your pre-trade checklist & execution model. Originality & Credits This script is an original creation by @PueblaATH, released under the MPL 2.0 license. It does not copy, modify, or repackage any existing TradingView code. All logic—including the fee engine, margin calculator, responsive HUD, dynamic risk model, and visual execution system—is authored specifically for this indicator.
อินดิเคเตอร์ Pine Script®
โดย PueblaATH
Position Sizing Calculator (Real-Time) - Futures Edition█ SUMMARY The following indicator is a Position Sizing Calculator based on Average True Range (ATR), originally developed by market technician J. Welles Wilder Jr., intended for real-time trading. This script utilizes the user's account size, acceptable risk percentage, and a stop-loss distance based on ATR to dynamically calculate the appropriate position size for each trade in real time. █ BACKGROUND Developed for use on the Micro E-mini Nasdaq-100 futures (MNQ), this script provides traders with continuously updated dynamic position sizes. It enables traders to instantly determine the exact number of contracts to use when entering a trade while staying within their acceptable risk tolerance. This real-time position sizing tool helps traders make well-informed decisions when planning trade entries and calculating maximum stop-loss levels, ultimately enhancing risk management. █ USER INPUTS Trading Account Size: Total dollar value of the user's trading account. Acceptable Risk (%): Maximum percentage of the trading account that the user is willing to risk per trade. ATR Multiplier for Stop-Loss: Multiplier used to determine the distance of the stop-loss from the current price, based on the ATR value. ATR Length: The length of the lookback period used to calculate the ATR value. Show Target Risk Row: Toggle to hide/show the Target Risk Row SL Levels Display: Option to see Both, Long Only, Short Only, or None of the Stop Loss Level Values. Contract Point Value ($): Point value per contract. Tooltip highlights common values. Tick Size: Minimum Price Movement (Default set to 0.25) Minimum Contracts: Override the Minimum Contracts per trade to a user selected value. (May Exceed User's Target Risk)
อินดิเคเตอร์ Pine Script®
โดย Stereotypical
ATR Risk Display - Multi FuturesWhat This Does I got tired of manually calculating my ATR stops and risk for different futures contracts, especially when switching between ES, NQ, and their micro versions. This indicator automatically detects what futures symbol you're trading and shows you the exact tick count and dollar risk for your stop loss. The Problem It Solves If you trade futures with ATR-based stops, you know the hassle: Different contracts have different tick values You need to calculate position risk in dollars Switching between symbols means redoing all the math Renko charts make it even more confusing since ATR needs to come from regular candles This handles all of that automatically. Key Features Auto-detects futures symbols - ES, NQ, YM, RTY, GC, CL, and all the micros (MES, MNQ, etc.) Shows everything you need in one line: ATR(timeframe) × multiplier = X ticks ($XXX) Works on Renko charts - pulls ATR from regular timeframe charts (super important if you use Renko) Adjustable position sizing - set your contract count and see total risk instantly Clean, minimal display - just the info you need, no clutter How to Use Add it to any futures chart Set your preferred ATR timeframe (I use 5-minute) Set your ATR multiplier (I use 1.5x for my stops) Set your contract size That's it - the indicator handles the rest The display will show something like: "ES ATR(5) × 1.5 = 12 ticks ($150)" Settings Explained ATR Timeframe: What timeframe to calculate ATR from (always uses regular candles, even on Renko) ATR Multiplier: How many ATRs for your stop (1.5 is common, 2.0 for wider stops) Number of Contracts: Your position size for risk calculation Auto-Detect Symbol: Leave on unless you want to manually override Supported Futures Full size: ES, NQ, YM, RTY, GC, CL, ZB, ZN, 6E, 6J Micros: MES, MNQ, MYM, M2K, MGC, MCL Notes Made this primarily for my own ES trading but figured others might find it useful The tick values are based on standard CME specs If you trade other futures, you can modify the code to add them Works great alongside level indicators for risk management Why This Exists I use ATR trailing stops on all my trades and got tired of doing mental math every time I switched between charts or contracts. Especially useful if you trade both full-size and micro contracts - the risk difference is huge and easy to mess up. Hope this helps your trading! Feel free to suggest improvements.
อินดิเคเตอร์ Pine Script®
โดย WhiteRqbbit
1
Exponential Moving Average + ATR MTF [YSFX]Description: This indicator is a reupload of a previously published EMA + ATR tool, updated and enhanced after a house rule violation to provide additional features and a cleaner, more versatile experience for traders. It combines trend analysis and volatility measurement into one intuitive tool, allowing traders to visualize market direction, dynamic support and resistance, and adaptive risk levels—all in a clean, minimal interface. The indicator calculates a customizable moving average (MA) type—EMA, SMA, WMA, HMA, RMA, DEMA, TEMA, VWMA, LSMA, or KAMA—and surrounds it with ATR-based bands that expand and contract with market volatility. This creates a dynamic envelope around price, helping traders identify potential breakouts, pullbacks, or high-probability entry/exit zones. Advanced Features: Multiple MA types: Supports all major moving averages, including advanced options like KAMA, DEMA, and TEMA. KAMA customization: Adjustable fast and slow lengths for precise tuning. Dual timeframe support: Optionally use separate timeframes for the MA and ATR, or a global timeframe for both. Dynamic ATR bands: Automatically adjust to market volatility, useful for setting adaptive stop-loss levels. Optional fill: Shade the area between upper and lower ATR bands for a clear visual representation of volatility. Flexible for all markets: Works across any timeframe or asset class. Who It’s For: This indicator is ideal for trend-following traders, swing traders, and volatility-focused analysts who want to: Confirm trend direction while accounting for volatility Identify high-probability trade entries and exits Implement dynamic, ATR-based stop-loss strategies Keep charts clean and uncluttered while still capturing key market information This reuploaded version ensures compliance with platform rules while offering enhanced flexibility and clarity for modern trading workflows.
อินดิเคเตอร์ Pine Script®
โดย YunusSFx