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Cantillon Risk Calculator [Free]Overview Stop guessing your position size. The Cantillon Risk Calculator is a lightweight utility that instantly tells you exactly how many units (Contracts/Coins) to buy based on your account size and risk percentage. How to Use Open Settings. Enter your Account Size (e.g., $10,000) and Risk % (e.g., 1%). Type in your Stop Loss price. The table instantly shows your Position Size. Looking for High Probability Setups? Risk management is only half the battle. To find where to enter using Institutional Order Blocks and Sigma Bands, you need the Cantillon Terminal .
Wskaźnik Pine Script®
od Thecantillonreport
My Price Curtain by @magasineMy Price Curtain by @magasine Functional Description My Price Curtain is a high-performance visual analysis tool designed to provide traders with immediate context regarding price positioning relative to institutional benchmarks. Unlike standard moving averages, this indicator creates a "curtain" of data that dynamically colors the chart background and provides real-time performance metrics to identify trend dominance at a glance. Key Features & Differential Value Multi-Method Dynamic Benchmarking: Choose between five different calculation methods: SMA, EMA, WMA, RMA, or a manual Fixed Price. This allows you to switch from a standard technical trend (MA) to a "break-even" or "entry point" analysis (Fixed Price) instantly. Intelligent Visual Feedback: The "Curtain" logic automatically colors the chart background—Green for Bullish dominance and Red for Bearish dominance—reducing cognitive load during fast-paced sessions. Advanced Statistical Tracking: The indicator includes a built-in Performance Table that tracks the percentage of bars closing above or below the selected benchmark. This helps traders quantify the strength of a trend over the entire visible dataset. Precision Labeling & Distance Analysis: A dynamic, color-coded label tracks the price on the Y-axis. It calculates and displays the exact percentage distance from the price to the benchmark in real-time, helping to identify overextended moves. Optional Deviation Zones: Enable visual "Safety Zones" (boxes) that project a user-defined percentage deviation from the average, assisting in identifying potential volatility expansion or exhaustion areas. Trading Utilities Trend Confirmation: Use the background color and "Bars Above" percentage to confirm if you are trading with the path of least resistance. Scalping & Intraday Support: The "Distance" metric is essential for scalpers to avoid entering trades too far from the average (mean reversion risk). Custom Strategy Benchmark: Use the "Fixed Price" mode to set your specific entry price and see your real-time performance and "curtain" status relative to your position.
Wskaźnik Pine Script®
od magasine
XAU Seasonality + Setup Quality + Month Strength | WarRoomXYZXAU Seasonality Engine is a technical analysis indicator developed for the study of recurring, calendar-based behavior on XAUUSD (Gold). The tool blends month-of-year seasonality statistics with higher-timeframe context and a setup-quality gate to help users observe when market conditions historically lean strong, weak, or neutral — and how strict trade selection should be during each regime. Indicator Concept An indicator for XAUUSD that combines: 1. Seasonality Regime (Month-of-Year Bias) ► Classifies the current month as Strong / Weak / Neutral based on either: • Preset months (user-defined) or • Auto mode (computed from historical monthly performance) ► Strong months suggest a bullish tailwind (not a signal). ► Weak months suggest headwind / caution and require stricter setup quality. 2. Monthly Performance Engine (Under the Hood) ► Uses the symbol’s monthly timeframe data to compute, per calendar month: • Average monthly return (%) • Win rate (%) — how often that month closes positive • Month Strength Score (0–100) — a blended score derived from performance data ► The score is designed to provide a relative strength snapshot of seasonality by month. 3. Month Strength Histogram ► Plots a histogram (0–100) of the current month’s strength score. • Higher bars = historically stronger month tendency • Lower bars = historically weaker month tendency ► Optional horizontal reference lines mark “strong” and “weak” zones to make regimes obvious at a glance. 4. Setup Quality Meter (Confluence Filter) ► The indicator calculates a Setup Quality Score (0–100) using market structure and momentum components, such as: • EMA trend alignment • Momentum confirmation (EMA fast vs slow) • Structure break confirmation (BOS) • Liquidity sweep behavior • Candle confirmation logic ► This score is intended as a trade-selectivity filter , not a trade executor. 5. Adaptive Rules for Weak Months (Strict Mode) ► When the indicator detects a weak seasonal regime, conditions automatically tighten: • The A+ threshold increases (adaptive thresholding) • Optional rule: Weak months require BOS + Sweep + FVG simultaneously before any A+ condition is considered valid This forces the user into “higher-quality-only” behavior during historically weaker seasonal periods. 🔹1 Visual Components Included • Seasonality regime label (Strong / Weak / Neutral) • Optional background shading based on regime • Month Strength Score histogram (0–100) • Current month stats: Avg return + win rate • Setup Quality Meter value (0–100) • Adaptive A+ threshold display • Weak-month confluence gate status (BOS / Sweep / FVG pass/fail) • Optional alerts when strict criteria are met ➣What Means in the XAU Indicator 🔹 Definition (in THIS indicator) Win Rate = the percentage of historical months that closed positive for the same calendar month. It is NOT: trade win rate ❌ signal accuracy ❌ It is a s tatistical seasonality metric . How It’s Calculated For each calendar month (January, February, etc.), the indicator: 1.Looks at historical monthly candles (Monthly timeframe). 2. Counts how many times that month: •Closed higher than it opened (or higher than previous month close). 3. Divides: Number of positive months ÷ Total number of observed months × 100 Example: September If over the last 20 years: September closed green 14 times September closed red 6 times Then: Win Rate = (14 / 20) × 100 = 70% That’s what you see as in the dashboard. What the Win Rate Is Used For 1️⃣ Part of the Month Strength Score The indicator blends: •Average Monthly Return (%) → measures magnitude •Win Rate (%) → measures consistency Combined into: Month Strength Score (0–100) This avoids a common trap: •A month with 1 huge rally but many losses ≠ reliable •A month with steady positive closes = higher quality environment What Win Rate Tells You High Win Rate (e.g. 65–75%) •Gold more often closes higher in this month •Continuation is statistically more likely •Pullbacks are more likely to resolve in trend direction Low Win Rate (e.g. 35–45%) •Gold more often fails to close higher •More chop, deeper retracements, false breakouts •Continuation trades statistically struggle What It Does NOT Tell You 🚫 It does NOT mean: •“You will win 70% of your trades” •“Every setup in this month works” •“Direction is guaranteed” Seasonality is context, not prediction. Why This Is Powerful When Combined With Your System On its own, win rate is just data. But in your indicator, it’s used to: •🔒 Raise the A+ threshold in weak months •🧠 Force BOS + Sweep + FVG confluence •❌ Block marginal setups automatically So instead of guessing: -“Why is gold so choppy this month?” You know: -“This month historically underperforms SO I must be stricter.” ➣What Means in the XAU Seasonality Indicator 🔹 Definition (in THIS indicator) Avg Monthly Return = the average percentage gain or loss of XAUUSD for a specific calendar month, calculated across many years. It measures magnitude , not frequency. It is NOT: •trade profit ❌ •expected return for the next month ❌ •guaranteed performance ❌ It is a historical seasonality tendency. How It’s Calculated For each calendar month (January, February, etc.), the indicator: 1.Takes every historical occurrence of that month. 2.Calculates the percentage change of the monthly candle: (Monthly Close − Previous Monthly Close) ÷ Previous Monthly Close × 100 3. Adds all those percentage changes together. 4. Divides by the total number of observations. Example: September Assume over 20 years: +2.4%, +1.1%, −0.6%, +3.0%, +1.8%, ... If the sum of all September returns = +28% across 20 years: Avg Monthly Return = +1.40% That’s the number displayed in the indicator. What Avg Monthly Return Is Used For 1️⃣ Measuring Strength of Movement •Win Rate → “How often does it close green?” •Avg Monthly Return → “How big are the moves when it works?” Both are needed. A month can: •Win often but move very little •Move a lot but only occasionally The indicator combines both to avoid misleading conclusions. How to Interpret Avg Monthly Return Positive Avg Return (e.g. +0.8% to +2.0%) •Gold tends to expand during this month •Continuation phases are more likely •Pullbacks are often absorbed Near-Zero Avg Return (e.g. −0.2% to +0.2%) •Market is statistically balanced •Expect chop, rotations, false breaks •Continuation is less reliable Negative Avg Return (e.g. −0.5% or worse) •Downward pressure or heavy mean reversion •Rallies often fade •Risk of aggressive stop hunts What Avg Monthly Return Does NOT Mean 🚫 It does NOT mean: •“Price will move +1.4% this month” •“You should buy because the number is positive” •“This is a guaranteed edge” It describes historical behavior, not future certainty. Why Avg Monthly Return Matters More Than People Think Two months can have the same win rate but behave very differently: Example: Month Win Rate Avg Return Reality Month A 65% +0.2% Small, choppy wins Month B 55% +1.6% Fewer wins, but strong expansions Your indicator would rank Month B as stronger, which is correct for continuation-based strategies. How It Feeds the Month Strength Score The indicator blends: •60% Avg Monthly Return (normalized) •40% Win Rate This means: •Big moves matter more than small consistency •But consistency still matters enough to prevent distortion Result: Month Strength Score (0–100) Which is then used to: •tighten or relax A+ thresholds •activate weak-month strict rules •control trade frequency 🔹2. Intended Use The indicator is designed as a discretionary analysis tool to support study of: • seasonal bias and calendar tendencies • relative strength/weakness across months • how strict trade selection should be across different regimes • confluence behavior when seasonal conditions are unfavorable The tool does not generate forecasts, does not guarantee outcomes, and should not be relied upon as a stand-alone decision mechanism. 🔹3.How to Use XAU Seasonality Engine Recommended charts: XAUUSD, intraday (5m–15m) with a HTF context (1H–4H). 1. Identify the Seasonal Regime • Strong month → you can allow more continuation bias (still require structure). • Neutral month → trade normally, standard criteria. • Weak month → tighten selection, demand clean A+ conditions only. 2. Read the Month Strength Histogram • If the score is high (e.g., 70+), the month has historically shown stronger tendency. • If the score is low (e.g., 40 and below), expect slower conditions, deeper pullbacks, or more chop — and reduce marginal trades. 3. Use the Setup Quality Meter as the Gate ► In normal/strong months: • A+ threshold is moderate (e.g., 70) ► In weak months: • A+ threshold is higher (e.g., 80+) • Optional strict mode: must also pass BOS + Sweep + FVG alignment 4. Example Trade Logic (Framework, Not Signals) ► Bullish framework in a Strong Month: • Seasonal regime = Strong (tailwind) • Structure supports bullish continuation (trend alignment) • Sweep occurs into demand / liquidity grab • Setup Quality reaches A+ threshold • Entry: confirmation candle or retrace to key level • SL: beyond sweep low / invalidation • TP: nearest liquidity / prior highs / HTF level ► Weak Month rule-set (Strict Mode): • Seasonal regime = Weak (headwind) • Only consider trades if: ✅ BOS confirms direction ✅ Sweep occurs and rejects cleanly ✅ FVG exists recently (or is mitigated if you choose that model) ✅ Setup Quality exceeds the elevated adaptive threshold If any one is missing → no trade This is not meant to “predict” gold — it’s meant to enforce discipline when seasonality historically underperforms. 🔹4.Limitations and User Responsibility ► The indicator does not represent financial advice or imply performance expectations. ► Seasonality is statistical tendency, not certainty — macro conditions can override it. ► Results vary by broker feed, timeframe, and settings. ► Users should test thoroughly in simulation before applying to live markets. ► All trading decisions, risk management, and execution remain solely the responsibility of the user. 🔹5. Alerts Optional alerts can notify when: • a new month begins and the seasonal regime changes • A+ criteria are met • weak-month strict conditions pass (BOS + Sweep + FVG) Alerts are informational only and do not constitute actionable recommendations. Disclaimer This script is provided for informational and educational purposes only . It does not provide financial, investment, or trading advice, and it does not guarantee profits or future performance. All decisions made based on this script are solely the responsibility of the user. This script does not execute trades, manage risk, or replace the need for trader discretion. Market behavior can change quickly, and past behavior detected by the script does not ensure similar future outcomes. Users should test the script on demo or simulation environments before applying it to live markets and must maintain full responsibility for their own risk management, position sizing, and trade execution. Trading involves risk, and losses can exceed deposits. By using this script, you acknowledge that you understand and accept all associated risks.
Wskaźnik Pine Script®
od WarroomXYZ
pD Zones [MMT]pD Zones plots a clean set of intraday high‑of‑day (HOD) and low‑of‑day (LOD) zones that automatically extend forward, flip color on mitigation, and archive as historical levels for context. It is designed to give intraday traders a simple visual map of premium/discount zones derived from a chosen calculation timeframe.​ Overview Objective : Highlight the current day’s HOD/LOD wick zones as actionable intraday support and resistance.​ Core logic runs on a user‑selectable source timeframe (default 15m), then projects those zones onto any chart you are trading.​ Zones extend into the future, react to price via mitigation logic, and then optionally roll into a dimmed historical layer. Zone logic Each session, the script tracks the extreme high and low plus their wick limits (open/close‑based) on the source timeframe to form two intraday zones.​ When a new day starts, the finalized prior‑day zones are “locked in” and the current day begins tracking a fresh HOD/LOD pair.​ Only one HOD and one LOD zone are created per day, reducing clutter and keeping focus on the most relevant levels. Mitigation & color flips Active HOD zones behave as resistance: a decisive break above the top of the box flips it to a bullish (supportive) color profile, while a move back below can re‑flip it.​ Active LOD zones behave as support: a break below the bottom of the box flips it to a bearish profile, and a sustained reclaim can re‑flip it as well.​ Once mitigated and carried into a new day, zones are restyled with a softer historical color so they remain visible but unobtrusive.​ Alerts When price breaks a HOD zone to the upside, the script can trigger an alert message noting that HOD resistance has been broken and showing the exact level.​ When price breaks a LOD zone to the downside, an alert notes that LOD support has been broken, again with the precise price printed.​ These alerts are meant for intraday confirmation of structure shifts at key daily extremes, rather than frequent scalper signals. Inputs & customization - Calculation Timeframe: choose which timeframe defines the daily HOD/LOD zones (e.g., 5m, 15m, 1h), independent from the chart.​ - Visual Settings: customize support/resistance fill colors and border color to integrate with existing layouts.​ - Logic Settings: Max Active Zones: cap how many live zones remain on the chart at once to control noise.​ Max Historical Zones: keep only the most recent historical levels or show all past days.​ Zone Extension Offset (Bars): control how aggressively boxes project into the future.​ - Mitigation Settings: choose the historical zone color to distinguish active levels from archived ones at a glance.​
Wskaźnik Pine Script®
od isthattyler
3
sullaojo 3mHere is the English translation for the alert setup instructions: **How to Set Up Alerts (After Adding the Code)** 1. Click the **Add to chart** button to apply the indicator to your graph. 2. Click the **Alarm Clock icon (Alerts)** on the top right toolbar of TradingView, or press `Alt + A`. 3. In the **Condition** field: * Select the indicator named **"MA Crossover Buy Alert..."** * Select **"แจ้งเตือนซื้อ (Buy Alert)"** to receive only buy signals. 4. In the **Trigger** (or Options) section: Select **Once per bar close**. *(This is recommended per the textbook to confirm that the closing price actually crossed the line, avoiding false signals during intraday volatility.)* 5. Check **Notify on App** (for mobile) or **Show pop-up** as desired, then click **Create**. Now, when the moving averages cross according to the textbook's conditions, the system will send you an alert immediately!
Strategia Pine Script®
od sullaojo
Flux Portfolio Visualizer | GL0WDASHFlux Portfolio Visualizer | GL0WDASH Flux Portfolio Visualizer lets you simulate and track the performance of a multi-asset portfolio directly on the chart. Choose up to 10 assets, assign custom allocation weights, and set a start date to generate a real-time equity curve based on historical price data. The script performs one-time proportional allocation at the start date and then tracks equity forward without rebalancing, giving you a realistic view of how your portfolio would have evolved over time. It also includes a maximum equity drawdown tracker and an optional level line for reference. Features: • Allocate to up to 10 assets with custom weight percentages • Specify initial capital and simulation start date • Real-time equity curve based on confirmed bars • Maximum equity drawdown tracking + table display • Optional horizontal reference line • Designed for long-horizon allocation experiments Great for: • Passive portfolio stress-testing • Comparing allocation strategies • Evaluating long-term crypto/asset mixes • Visualizing risk via max drawdowns This tool does not execute trades or rebalance—its purpose is pure visualization, giving traders clarity about how portfolios behave under different allocation assumptions. If you expand or modify the indicator, please credit the original author.
Wskaźnik Pine Script®
od GL0WDASH
NQ Lunch High Low First Sweep StrategyThis script identifies the FIRST liquidity sweep of the Lunch session high or low after the Lunch session has ended, based on ICT / Killzone concepts. Logic summary: • Tracks Lunch session High and Low (New York time) • After Lunch session closes, monitors the market on 5-minute timeframe • Triggers ONLY on the first sweep: – Price wicks beyond Lunch High and closes back below → SHORT signal – Price wicks beyond Lunch Low and closes back above → LONG signal • Generates an alert at the exact bar where entry is expected • Designed specifically for Nasdaq (NQ) futures • One trade per day – no overtrading Notes: • Intended for 5-minute charts only • Uses New York session timing • This script does NOT manage exits (TP/SL) – entry logic only • Best used as a confluence tool, not a standalone system Educational & discretionary use only.
Strategia Pine Script®
od yt_tr
Moon Phases & Declinations - Chronos Capital [BETA]High-Precision Lunar Cycles: Moon Phases & Declinations (Swiss Ephemeris) Overview This indicator provides institutional-grade astronomical data directly on your chart. Unlike standard scripts that use basic sine-wave approximations, this tool implements the **Swiss Ephemeris algorithm**, the gold standard for high-precision celestial calculations. By tracking the Moon’s phases and its **Maximum/Minimum Declinations**, traders can identify potential "turning points" or "energy shifts" in market volatility often associated with lunar cycles. --- Key Features Ultra-High Precision: Calculations are accurate to within *seconds* of time, ensuring that the visual plot aligns perfectly with astronomical reality. Moon Phase Tracking: Distinct markers for New Moon, Full Moon, and Quarters. Lunar Declination Peaks: Automatically identifies when the moon reaches its *Maximum North* and *Maximum South* points (Lunar Extremes). Customizable Visuals: Toggle between background highlights, vertical lines, or plot signals to suit your trading style. --- Technical Accuracy This script is built using a ported version of the Swiss Ephemeris Positional Accuracy: Within 0.1 arcseconds. Time Accuracy: Within **~1-2 seconds** of official JPL data. Algorithm: Integration of the *ELP2000-85* lunar theory for maximum reliability over decades of historical data. --- ### **How to Use** 1. **Reversal Zones:** Watch for the Moon’s *Max/Min Declination* points, which often coincide with local tops or bottoms in trending markets. 2. **Volatility Shifts:** Use the *New Moon* and *Full Moon* markers to anticipate periods of increased or decreased market liquidity and volume. 3. **Confluence:** Best used in combination with your existing price action or momentum indicators to add a "time-based" filter to your entries. *Disclaimer: This tool is for educational and analytical purposes only. Lunar cycles are a study of time-based correlation, not a guaranteed financial signal.*
Wskaźnik Pine Script®
od ChronosCapital
Adaptive Z-Score Oscillator [QuantAlgo]🟢 Overview The Adaptive Z-Score Oscillator transforms price action into statistical significance measurements by calculating how many standard deviations the current price deviates from its moving average baseline, then dynamically adjusting threshold levels based on historical distribution patterns. Unlike traditional oscillators that rely on fixed overbought/oversold levels, this indicator employs percentile-based adaptive thresholds that automatically calibrate to changing market volatility regimes and statistical characteristics. By offering both adaptive and fixed threshold modes alongside multiple moving average types and customizable smoothing, the indicator provides traders and investors with a robust framework for identifying extreme price deviations, mean reversion opportunities, and underlying trend conditions through the visualization of price behavior within a statistical distribution context. 🟢 How It Works The indicator begins by establishing a dynamic baseline using a user-selected moving average type applied to closing prices over the specified length period, then calculates the standard deviation to measure price dispersion: basis = ma(close, length, maType) stdev = ta.stdev(close, length) The core Z-Score calculation quantifies how many standard deviations the current price sits above or below the moving average basis, creating a normalized oscillator that facilitates cross-asset and cross-timeframe comparisons: zScore = stdev != 0 ? (close - basis) / stdev : 0 smoothedZ = ma(zScore, smooth, maType) The adaptive threshold mechanism employs percentile calculations over a historical lookback period to determine statistically significant extreme zones. Rather than using fixed levels like ±2.0, the indicator identifies where a specified percentage of historical Z-Score readings have fallen, automatically adjusting to market regime changes: upperThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, upperPercentile) : fixedUpper lowerThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, lowerPercentile) : fixedLower The visualization architecture creates a four-tier coloring system that distinguishes between extreme conditions (beyond the adaptive thresholds) and moderate conditions (between the midpoint and threshold levels), providing visual gradation of statistical significance through opacity variations and immediate recognition of distribution extremes. 🟢 How to Use This Indicator ▶ Overbought and Oversold Identification: The indicator identifies potential overbought conditions when the smoothed Z-Score crosses above the upper threshold, indicating that price has deviated to a statistically extreme level above its mean. Conversely, oversold conditions emerge when the Z-Score crosses below the lower threshold, signaling statistically significant downward deviation. In adaptive mode (default), these thresholds automatically adjust to the asset's historical behavior, i.e., during high volatility periods, the thresholds expand to accommodate wider price swings, while during low volatility regimes, they contract to capture smaller deviations as significant. This dynamic calibration reduce false signals that plague fixed-level oscillators when market character shifts between volatile and ranging conditions. ▶ Mean Reversion Trading Applications: The Z-Score framework excels at identifying mean reversion opportunities by highlighting when price has stretched too far from its statistical equilibrium. When the oscillator reaches extreme bearish levels (below the lower threshold with deep red coloring), it suggests price has become statistically oversold and may snap back toward the mean, presenting potential long entry opportunities for mean reversion traders. Symmetrically, extreme bullish readings (above the upper threshold with bright green coloring) indicate potential short opportunities or long exit points as price becomes statistically overbought. The moderate zones (lighter colors between midpoint and threshold) serve as early warning areas where traders can prepare for potential reversals, while exits from extreme zones (crossing back inside the thresholds) often provide confirmation that mean reversion is underway. ▶ Trend and Distribution Analysis: Beyond discrete overbought/oversold signals, the histogram's color pattern and shape reveal the underlying trend structure and distribution characteristics. Sustained periods where the Z-Score oscillates primarily in positive territory (green bars) indicate a bullish trend where price consistently trades above its moving average baseline, even if not reaching extreme levels. Conversely, predominant negative readings (red bars) suggest bearish trend conditions. The distribution shape itself provides insight into market behavior, e.g., a narrow, centered distribution clustering near zero indicates tight ranging conditions with price respecting the mean, while a wide distribution with frequent extreme readings reveals volatile trending or choppy conditions. Asymmetric distributions skewed heavily toward one side demonstrate persistent directional bias, whereas balanced distributions suggest equilibrium between bulls and bears. ▶ Built-in Alerts: Seven alert conditions enable automated monitoring of statistical extremes and trend transitions. Enter Overbought and Enter Oversold alerts trigger when the Z-Score crosses into extreme zones, providing early warnings of potential reversal setups. Exit Overbought and Exit Oversold alerts signal when price begins reverting from extremes, offering confirmation that mean reversion has initiated. Zero Cross Up and Zero Cross Down alerts identify transitions through the neutral line, indicating shifts between above-mean and below-mean price action that can signal trend changes. The Extreme Zone Entry alert fires on any extreme threshold penetration regardless of direction, allowing unified monitoring of both overbought and oversold opportunities. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, ensuring optimal contrast and readability across trading platforms. The bar transparency control (0-90%) allows fine-tuning of visual prominence, with minimal transparency creating bold, attention-grabbing bars for primary analysis, while higher transparency values produce subtle background context when using the oscillator alongside other indicators. The extreme and moderate zone coloring system uses automatic opacity variation to create instant visual hierarchy, with darkest colors highlight the most statistically significant deviations demanding immediate attention, while lighter shades mark developing conditions that warrant monitoring but may not yet justify action. Optional candle coloring extends the Z-Score color scheme directly to the price candles on the main chart, enabling traders to instantly recognize statistical extremes and trend conditions without needing to reference the oscillator panel, creating a unified visual experience where both price action and statistical analysis share the same color language.
Wskaźnik Pine Script®
od QuantAlgo
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.
Wskaźnik Pine Script®
od MonkeyPhone
2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does 🎯 1) Market analysis is being released (bottom-top analysis) It automatically finds pivot bottoms and pivot tops on the strategic chart. Then: If the bottoms are rising (HL – High Low): the trend is upward If the tops are falling (LH – Lower High): the trend is downward it interprets this. 🎯 2) Support and resistance lines are formed Last pivot top = resistance line Last pivot bottom = support line These lines are automatically drawn on the chart. 🎯 3) Breakout is expected according to the trend structure For LONG: The last two bottoms will be rising bottoms The price will rise above the last resistance line This gives a single LONG signal. For SHORT: The last two peaks will be falling peaks The price will fall below the support line This gives a single SHORT signal.
Strategia Pine Script®
od hayrialbayir
RTH Yesterday & Today Premarket Levels## **RTH Yesterday & Today Premarket Levels** This indicator plots the most commonly used **institutional reference levels** for intraday trading: * **Yesterday’s Regular Trading Hours (RTH) High** * **Yesterday’s Regular Trading Hours (RTH) Low** * **Yesterday’s Regular Trading Hours (RTH) Close** * **Today’s Premarket High** * **Today’s Premarket Low** All levels are drawn as **straight horizontal lines with labels** and remain fixed throughout the current session. --- ### **How Levels Are Calculated** **Yesterday’s Levels (RTH only)** * Computed strictly from **Regular Trading Hours (09:30–16:00 exchange time)**. * Extended-hours data is **excluded** to avoid distortion. * Captures true institutional highs, lows, and closing price. **Today’s Premarket Levels (PM only)** * Computed strictly from **today’s premarket session (04:00–09:29)**. * Resets daily and does not include prior days. * Levels finalize once premarket ends and extend across the regular session. --- ### **Key Features** * Exactly **5 fixed reference levels**, no historical clutter * **Non-repainting**: levels do not change once established * **No zig-zags or plots**; only clean horizontal lines * Customizable **line colors and thickness** * Labels clearly identify each level: * Y High * Y Low * Y Close * PM High * PM Low --- ### **Best Use Cases** * Intraday trading (1m, 5m, 15m) * VWAP and momentum strategies * Gap-and-go or fade setups * Support/resistance validation * Options trading and scalping These levels often act as **decision points, liquidity magnets, and rejection zones** during the regular session. --- ### **Required Settings** * Use **intraday timeframes** * Enable **Extended Hours** in TradingView’s symbol settings * Designed for **US equities** using exchange time --- ### **Trader Notes** This script is intentionally minimalist. It shows only the **most relevant prior-day and premarket price references** used by professional traders, avoiding noise from multi-day indicators or derived averages.
Wskaźnik Pine Script®
od nbaddam2
Green Day or Red Day?What it is: This simple indicator provides immediate visual context by tinting the background of your chart Green or Red based on the asset's daily performance. Who's it for? It is designed for day traders and scalpers who operate on lower timeframes (1m, 5m, 15m) but need to remain aware of the overall daily direction without switching charts. It can be used in combination with the ORB strategy as a helpful tool to "feel" the trend when you're way out of the ORB range. But this indicator can be used by anyone regardless of trading style. How it works: This script pulls data from the daily timeframe regardless of the chart interval you are currently viewing. It compares the current price to a user-selectable reference point (either Yesterday's Close or Today's Open) to determine the background color. Good Luck. May you make good trades!
Wskaźnik Pine Script®
od drtrade