Mulakan

Forecasting

Martingale Strategy Simulator [BackQuant]Martingale Strategy Simulator Purpose This indicator lets you study how a martingale-style position sizing rule interacts with a simple long or short trading signal. It computes an equity curve from bar-to-bar returns, adapts position size after losing streaks, caps exposure at a user limit, and summarizes risk with portfolio metrics. An optional Monte Carlo module projects possible future equity paths from your realized daily returns. What a martingale is A martingale sizing rule increases stake after losses and resets after a win. In its classical form from gambling, you double the bet after each loss so that a single win recovers all prior losses plus one unit of profit. In markets there is no fixed “even-money” payout and returns are multiplicative, so an exact recovery guarantee does not exist. The core idea is unchanged: Lose one leg → increase next position size Lose again → increase again Win → reset to the base size The expectation of your strategy still depends on the signal’s edge. Sizing does not create positive expectancy on its own. A martingale raises variance and tail risk by concentrating more capital as a losing streak develops. What it plots Equity – simulated portfolio equity including compounding Buy & Hold – equity from holding the chart symbol for context Optional helpers – last trade outcome, current streak length, current allocation fraction Optional diagnostics – daily portfolio return, rolling drawdown, metrics table Optional Monte Carlo probability cone – p5, p16, p50, p84, p95 aggregate bands Model assumptions Bar-close execution with no slippage or commissions Shorting allowed and frictionless No margin interest, borrow fees, or position limits No intrabar moves or gaps within a bar (returns are close-to-close) Sizing applies to equity fraction only and is capped by your setting All results are hypothetical and for education only. How the simulator applies it 1) Directional signal You pick a simple directional rule that produces +1 for long or −1 for short each bar. Options include 100 HMA slope, RSI above or below 50, EMA or SMA crosses, CCI and other oscillators, ATR move, BB basis, and more. The stance is evaluated bar by bar. When the stance flips, the current trade ends and the next one starts. 2) Sizing after losses and wins Position size is a fraction of equity: Initial allocation – the starting fraction, for example 0.15 means 15 percent of equity Increase after loss – multiply the next allocation by your factor after a losing leg, for example 2.00 to double Reset after win – return to the initial allocation Max allocation cap – hard ceiling to prevent runaway growth At a high level the size after k consecutive losses is alloc(k) = min( cap , base × factor^k ) . In practice the simulator changes size only when a leg ends and its PnL is known. 3) Equity update Let r_t = close_t / close_{t-1} − 1 be the symbol’s bar return, d_{t−1} ∈ {+1, −1} the prior bar stance, and a_{t−1} the prior bar allocation fraction. The simulator compounds: eq_t = eq_{t−1} × (1 + a_{t−1} × d_{t−1} × r_t) . This is bar-based and avoids intrabar lookahead. Costs, slippage, and borrowing costs are not modeled. Why traders experiment with martingale sizing Mean-reversion contexts – if the signal often snaps back after a string of losses, adding size near the tail of a move can pull the average entry closer to the turn Behavioral or microstructure edges – some rules have modest edge but frequent small whipsaws; size escalation may shorten time-to-recovery when the edge manifests Exploration and stress testing – studying the relationship between streaks, caps, and drawdowns is instructive even if you do not deploy martingale sizing live Why martingale is dangerous Martingale concentrates capital when the strategy is performing worst. The main risks are structural, not cosmetic: Loss streaks are inevitable – even with a 55 percent win rate you should expect multi-loss runs. The probability of at least one k-loss streak in N trades rises quickly with N. Size explodes geometrically – with factor 2.0 and base 10 percent, the sequence is 10, 20, 40, 80, 100 (capped) after five losses. Without a strict cap, required size becomes infeasible. No fixed payout – in gambling, one win at even odds resets PnL. In markets, there is no guaranteed bounce nor fixed profit multiple. Trends can extend and gaps can skip levels. Correlation of losses – losses cluster in trends and in volatility bursts. A martingale tends to be largest just when volatility is highest. Margin and liquidity constraints – leverage limits, margin calls, position limits, and widening spreads can force liquidation before a mean reversion occurs. Fat tails and regime shifts – assumptions of independent, Gaussian returns can understate tail risk. Structural breaks can keep the signal wrong for much longer than expected. The simulator exposes these dynamics in the equity curve, Max Drawdown, VaR and CVaR, and via Monte Carlo sketches of forward uncertainty. Interpreting losing streaks with numbers A rough intuition: if your per-trade win probability is p and loss probability is q=1−p , the chance of a specific run of k consecutive losses is q^k . Over many trades, the chance that at least one k-loss run occurs grows with the number of opportunities. As a sanity check: If p=0.55 , then q=0.45 . A 6-loss run has probability q^6 ≈ 0.008 on any six-trade window. Across hundreds of trades, a 6 to 8-loss run is not rare. If your size factor is 1.5 and your base is 10 percent, after 8 losses the requested size is 10% × 1.5^8 ≈ 25.6% . With factor 2.0 it would try to be 10% × 2^8 = 256% but your cap will stop it. The equity curve will still wear the compounded drawdown from the sequence that led to the cap. This is why the cap setting is central. It does not remove tail risk, but it prevents the sizing rule from demanding impossible positions Note: The p and q math is illustrative. In live data the win rate and distribution can drift over time, so real streaks can be longer or shorter than the simple q^k intuition suggests.. Using the simulator productively Parameter studies Start with conservative settings. Increase one element at a time and watch how the equity, Max Drawdown, and CVaR respond. Initial allocation – lower base reduces volatility and drawdowns across the board Increase factor – set modestly above 1.0 if you want the effect at all; doubling is aggressive Max cap – the most important brake; many users keep it between 20 and 50 percent Signal selection Keep sizing fixed and rotate signals to see how streak patterns differ. Trend-following signals tend to produce long wrong-way streaks in choppy ranges. Mean-reversion signals do the opposite. Martingale sizing interacts very differently with each. Diagnostics to watch Use the built-in metrics to quantify risk: Max Drawdown – worst peak-to-trough equity loss Sharpe and Sortino – volatility and downside-adjusted return VaR 95 percent and CVaR – tail risk measures from the realized distribution Alpha and Beta – relationship to your chosen benchmark If you would like to check out the original performance metrics script with multiple assets with a better explanation on all metrics please see Monte Carlo exploration When enabled, the forecast draws many synthetic paths from your realized daily returns: Choose a horizon and a number of runs Review the bands: p5 to p95 for a wide risk envelope; p16 to p84 for a narrower range; p50 as the median path Use the table to read the expected return over the horizon and the tail outcomes Remember it is a sketch based on your recent distribution, not a predictor Concrete examples Example A: Modest martingale Base 10 percent, factor 1.25, cap 40 percent, RSI>50 signal. You will see small escalations on 2 to 4 loss runs and frequent resets. The equity curve usually remains smooth unless the signal enters a prolonged wrong-way regime. Max DD may rise moderately versus fixed sizing. Example B: Aggressive martingale Base 15 percent, factor 2.0, cap 60 percent, EMA cross signal. The curve can look stellar during favorable regimes, then a single extended streak pushes allocation to the cap, and a few more losses drive deep drawdown. CVaR and Max DD jump sharply. This is a textbook case of high tail risk. Strengths Bar-by-bar, transparent computation of equity from stance and size Explicit handling of wins, losses, streaks, and caps Portable signal inputs so you can A–B test ideas quickly Risk diagnostics and forward uncertainty visualization in one place Example, Rolling Max Drawdown Limitations and important notes Martingale sizing can escalate drawdowns rapidly. The cap limits position size but not the possibility of extended adverse runs. No commissions, slippage, margin interest, borrow costs, or liquidity limits are modeled. Signals are evaluated on closes. Real execution and fills will differ. Monte Carlo assumes independent draws from your recent return distribution. Markets often have serial correlation, fat tails, and regime changes. All results are hypothetical. Use this as an educational tool, not a production risk engine. Practical tips Prefer gentle factors such as 1.1 to 1.3. Doubling is usually excessive outside of toy examples. Keep a strict cap. Many users cap between 20 and 40 percent of equity per leg. Stress test with different start dates and subperiods. Long flat or trending regimes are where martingale weaknesses appear. Compare to an anti-martingale (increase after wins, cut after losses) to understand the other side of the trade-off. If you deploy sizing live, add external guardrails such as a daily loss cut, volatility filters, and a global max drawdown stop. Settings recap Backtest start date and initial capital Initial allocation, increase-after-loss factor, max allocation cap Signal source selector Trading days per year and risk-free rate Benchmark symbol for Alpha and Beta UI toggles for equity, buy and hold, labels, metrics, PnL, and drawdown Monte Carlo controls for enable, runs, horizon, and result table Final thoughts A martingale is not a free lunch. It is a way to tilt capital allocation toward losing streaks. If the signal has a real edge and mean reversion is common, careful and capped escalation can reduce time-to-recovery. If the signal lacks edge or regimes shift, the same rule can magnify losses at the worst possible moment. This simulator makes those trade-offs visible so you can calibrate parameters, understand tail risk, and decide whether the approach belongs anywhere in your research workflow.
Penunjuk Pine Script®
oleh BackQuant
FREE Camel-Style Cycle Projector V2This indicator helps visualize repeating market cycles by detecting pivot lows and projecting when the next cycle low may occur. How it works • Pivot detection: Uses left/right bars to confirm swing lows. Filters are included (minimum % move and optional ATR separation) so only significant lows are counted. • Cycle averaging: The script records the time between past pivot lows. It then calculates the average (and standard deviation) of the last N intervals. • Projection: A future “Cycle Low ETA” is calculated as: last pivot low time + average interval. If that projection is already in the past, the script rolls forward by whole average intervals until it lies strictly in the future. • Time window: Around the ETA, a shaded projection window is drawn. Traders can choose whether this is based on a multiple of the standard deviation or a percentage of the average. • Visualization: • Vertical line = projected cycle low. • Shaded box = timing window. • Label = humanized countdown (weeks/days/hours/minutes). • HUD = status, ETA info, number of intervals used. • Optional “Camel row” under the chart (triangle • W • 🐪 • cycle length in weeks) to make cycles easier to spot at a glance. How to use • Select your timeframe (works on intraday and higher). • Allow pivots to accumulate; once the HUD shows Status: OK, the script begins projecting cycle lows. • Use the ETA line and window as context: they do not provide direct buy/sell signals, but rather help estimate when the market is statistically more likely to form a new cycle low. • Best used together with price structure, liquidity levels, support/resistance, and your own trading strategy. Notes • Works with any market supported on TradingView (crypto, stocks, forex, indices). • Filters can be tuned to reduce noise: • Increase % move or ATR multiplier to focus on larger, more meaningful lows. • This tool is designed for cycle timing analysis only. It does not predict exact prices or guarantee market outcomes
Penunjuk Pine Script®
oleh Hugors00
CCI Levels Advanced [CongTrader]📌 Final Professional Description (ready to publish) Overview CCI Levels Advanced is an enhanced version of the Commodity Channel Index (CCI). This indicator expands on the classic CCI by introducing extreme overbought/oversold zones, background highlights, visual cross markers, and customizable alerts. It is designed as a flexible tool for traders who want clearer insights into market momentum and potential turning points. Features Customizable CCI length – fine-tune sensitivity for different assets and timeframes. Overbought/Oversold thresholds – adjustable levels to match your strategy. Extreme zone highlights – visual shading when CCI reaches unusually strong levels. Cross markers – ▲ / ▼ markers when CCI crosses oversold or overbought zones. Alert system – built-in conditions for crossovers and extreme levels. How to Use Use CCI levels to detect momentum shifts and potential exhaustion points. Overbought/oversold levels may highlight conditions of market pressure, but they are not direct buy/sell signals. Extreme zones can be used as filters to avoid weaker signals. Combine with trend filters, support/resistance, or volume indicators for confirmation. Notes This script is a technical analysis tool. It does not generate guaranteed trading signals. Past performance does not guarantee future results. Always backtest and validate with additional analysis. Disclaimer This indicator is published for educational and analytical purposes only. It should not be interpreted as financial advice or a recommendation to buy or sell any asset. Trading involves risk, and you are solely responsible for your own investment decisions...
Penunjuk Pine Script®
oleh CongTrader_
线-美元指数灯1️⃣ 设计目的 帮助交易者快速判断当前市场风险状态，会自动匹配当前品种数据 将宏观美元走势与主币种短期趋势结合，给出 红/橙/绿三色风险提示 2️⃣ 数据来源与逻辑 宏观因素 参考美元指数（DXY）日线涨幅 作用：美元走强 → 全球风险资产承压 → 风险增加 主币种短期趋势 EMA斜率（1小时）判断趋势方向 RSI（1小时）判断超买/超卖状态 风险评分系统 每个条件满足则计1分 分数规则： 2分及以上 → 红灯（高风险，建议暂停策略） 1分 → 橙灯（中风险，小仓谨慎） 0分 → 绿灯（低风险，可正常操作） 1️⃣ Design Purpose Helps traders quickly assess current market risk. Combines macro dollar trends with short-term trends of the underlying currency to generate red, orange, and green risk alerts. 2️⃣ Data Source and Logic Macro Factors References to the daily gains of the US Dollar Index (DXY) Impact: A stronger US dollar → pressure on global risk assets → increased risk Short-term trends of underlying currencies EMA slope (1-hour) determines trend direction RSI (1-hour) determines overbought/oversold conditions Risk Scoring System Each condition met is assigned 1 point. Scoring Rules: 2 points and above = Red (High risk, recommend pausing the strategy) 1 point = Orange (Medium risk, caution with small positions) 0 points = Green (Low risk, normal operation)
Penunjuk Pine Script®
oleh lehjvhejp
Volume Trend AnalysisStudy Material for Volume Trend Analysis Dashboard 1. Introduction This script is a complete volume-based technical analysis dashboard designed in TradingView, created under the guidelines of TradingView and aiTrendview. It combines multiple indicators—Volume, RSI, Supertrend, Buy/Sell Pressure, and Momentum—into a single visual dashboard. The purpose is education and market observation, not guaranteed profits. Students using this tool should focus on understanding patterns, signals, and probabilities rather than treating them as fixed rules. ________________________________________ 2. Core Components and Indicators 🔹 Volume Analysis • Volume shows the number of shares/contracts traded in a specific period. • The script compares today’s volume with historical averages (e.g., 20-day average). • This helps identify whether trading activity is higher or lower than usual. • Learning use: A student can track if high volume confirms a price breakout or if low volume suggests weak conviction. • Combination: o High price rise + High volume → Strong bullish move. o Price rise + Low volume → Weak rally, may fail. o Price fall + High volume → Strong selling pressure. o Price fall + Low volume → Weak decline, may reverse. ________________________________________ 🔹 RSI (Relative Strength Index) • RSI measures momentum (0–100 scale). • Above 70 = Overbought (possible selling zone). • Below 30 = Oversold (possible buying zone). • Around 50 = Neutral, sideways market. • Learning use: Combine with volume—RSI near extremes with high volume often marks turning points. • Combination: o RSI < 30 + High buy pressure volume = Strong bounce probability. o RSI > 70 + High sell pressure volume = Risk of reversal downward. ________________________________________ 🔹 Supertrend • Supertrend uses volatility (ATR) to show support/resistance bands. • Price above = Bullish trend. • Price below = Bearish trend. • Learning use: New students can treat it as a dynamic stop-loss and trailing tool. • Combination: o Price > Supertrend + RSI > 50 + High buy volume = Safe bullish trend. o Price < Supertrend + RSI < 50 + High sell volume = Safe bearish trend. ________________________________________ 🔹 Buy/Sell Pressure • The indicator splits volume into buying vs. selling portions based on price action. • Shows % of buying volume vs. selling volume. • Learning use: Students can visualize whether bulls or bears are dominating. • Combination: o Buying > 65% → Bulls stronger. o Selling > 65% → Bears stronger. o Balanced → Market indecisive (range-bound). ________________________________________ 🔹 Momentum & Signal Status • Momentum combines RSI and Supertrend to classify market as Bullish, Bearish, or Neutral. • Buy/Sell signals are triggered on crossovers of price with Supertrend along with RSI conditions. • Learning use: Beginners should not blindly trade these signals but track how often they succeed/fail under different market conditions. • Combination: o Bullish Momentum + Buy Signal + High Volume = Strong entry setup. o Bearish Momentum + Sell Signal + High Volume = Strong short setup. ________________________________________ 🔹 Volume Pace • Compares current intraday volume with expected average progress. • Above pace = Traders active earlier than usual. • Below pace = Weak interest in current session. • Learning use: Beginners can track whether moves are backed by real activity or just price manipulation. • Combination: o Above pace + Bullish signals = Reliable rally. o Below pace + Bullish signals = Weak rally, avoid. ________________________________________ 3. How to Use the Dashboard • The dashboard consolidates all indicators into a simple table: Signals, Momentum, Position, Profit, Volume, Pressure, Levels, and Status. • It helps beginners see different aspects of market condition at one glance. • Instead of jumping between multiple charts, everything is available in one panel. • Students can use this to practice observation, backtest signals, and record outcomes. ________________________________________ 4. Educational Guidelines 1. Paper Trade First: Always test on virtual trading accounts before real money. 2. Record Outcomes: Note how each signal works in trending vs. sideways markets. 3. Combine with Chart Reading: This is not standalone—students must learn candlestick patterns, support/resistance, and fundamentals. 4. Avoid Overtrading: Just because a dashboard flashes “BUY” doesn’t mean to enter blindly. 5. Adapt Timeframes: Learn the difference between intraday vs. daily signals. Shorter timeframes = more noise. ________________________________________ 5. Common Beginner Mistakes • Blind Trading: Treating BUY/SELL signals as automatic entry/exit without analysis. • Ignoring Volume: Not checking whether signals are backed by strong or weak volume. • Overconfidence: Assuming 100% accuracy—no indicator is perfect. • Misusing Alerts: Alerts help monitoring but don’t guarantee profitability. ________________________________________ 6. Disclaimer This indicator is created strictly for educational and learning purposes under TradingView and aiTrendview guidelines. • It is not financial advice and should not be treated as a guaranteed profit-making tool. • Past performance does not guarantee future results. • Misuse of this indicator for blind speculation can result in financial loss. • Always use it with proper risk management and independent judgment. • For real trading decisions, consult a certified financial advisor. ________________________________________ ✅ By studying this dashboard, students gain exposure to: • How multiple indicators interact. • How volume confirms or rejects price moves. • How to build discipline by observing signals, not chasing them. This makes the tool a training ground for market observation rather than a shortcut to quick profits.
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
BTC Macro Composite Global liquidity Index -OffsetThis indicator is based on the thesis that Bitcoin price movements are heavily influenced by macro liquidity trends. It calculates a weighted composite index based on the following components: • Global Liquidity (41%): Sum of central bank balance sheets (Fed , ECB , BoJ , and PBoC ), adjusted to USD. • Investor Risk Appetite (22%): Derived from the Copper/Gold ratio, inverse VIX (as a risk-on signal), and the spread between High Yield and Investment Grade bonds (HY vs IG OAS). • Gold Sensitivity (15–20%): Combines the XAUUSD price with BTC/Gold ratio to reflect the historical influence of gold on Bitcoin pricing. Each component is normalized and then offset forward by 90 days to attempt predictive alignment with Bitcoin’s price. The goal is to identify macro inflection points with high predictive value for BTC. It is not a trading signal generator but rather a macro trend context indicator. ❗ Important: This script should be used with caution. It does not account for geopolitical shocks, regulatory events, or internal BTC market structure (e.g., miner behavior, on-chain metrics). 💡 How to use: • Use on the 1D timeframe. • Look for divergences between BTC price and the macro index. • Apply in confluence with other technical or fundamental frameworks. 🔍 Originality: While similar components exist in macro dashboards, this script combines them uniquely using time-forward offsets and custom weighting specifically tailored for BTC behavior.
Penunjuk Pine Script®
oleh electronicRhin4023
Futures Confluence Delta (FCD) - Histogram The Futures Confluence Delta (FCD) Histogram is a powerful trend-following indicator tailored for scalping futures on 1-minute charts. Displayed in a bottom panel like RSI or volume, it visualizes cumulative volume delta to identify bullish or bearish market momentum. The histogram turns green for positive delta (buying pressure, suggesting a long trend) and red for negative delta (selling pressure, indicating a short trend), providing quick insight into market direction. This indicator is ideal for futures traders seeking confluence with other tools, such as VWMA or order block strategies. It uses a simple yet effective delta calculation (buy volume for up candles, sell volume for down candles, smoothed with EMA) to highlight trend strength, making it perfect for fast-paced scalping environments. Key Features: Cumulative Delta Histogram: Tracks buying vs. selling pressure, smoothed with an EMA for clarity. Color-Coded Trend Signals: Green for bullish (long) trends, red for bearish (short) trends. Customizable Settings: Adjust the delta lookback period and enable/disable daily reset for flexibility. Optimized for 1-minute charts on futures. Alert Support: Set alerts for trend changes to stay ahead of market shifts. How to Use: Add the indicator to your 1-minute chart. Observe the histogram in the bottom panel: Green bars (positive delta) suggest a bullish trend, favoring long entries. Red bars (negative delta) indicate a bearish trend, favoring short entries. Combine with other indicators (e.g., VWMA, order blocks, or FVGs) for confluence. Set alerts for trend changes via the FCD Long Trend or FCD Short Trend conditions. Adjust settings (delta lookback, daily reset) to match your trading style. Settings: Delta Lookback Period (default: 14): Controls the EMA smoothing of the delta. Lower values increase sensitivity; higher values smooth trends. Reset Delta Daily (default: true): Resets cumulative delta at the start of each trading day for futures session alignment. Long Color (default: green): Color for bullish delta. Short Color (default: red): Color for bearish delta. Notes: Ensure sufficient historical data (500+ bars) for accurate delta calculations. Test on NQ for higher volatility, as it may show stronger delta signals compared to GC or ES. Check the Pine Logs pane (“More” > “Pine Logs”) for any NA data issues if the histogram doesn’t display. Share your feedback or suggestions in the comments!
Penunjuk Pine Script®
oleh jcanup
Student Wyckoff RS Symbol/MarketRelative Strength Indicator STUDENT WYCKOFF RS SYMBOL/MARKET Description The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark. Key Features Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage. Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends. Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength. Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period. Applications Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment. Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders. Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument. Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions. Interpretation Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index). Falling RS: Suggests the first instrument is underperforming. SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance. Settings Instrument 2: Ticker of the second instrument (default: QQQ). SMA Period: Period for the Simple Moving Average (default: 14). Notes The indicator works on any timeframe but requires accurate ticker input for the second instrument. Ensure data for both instruments is available on the selected timeframe for precise analysis.
Penunjuk Pine Script®
oleh StudentWyckoff
ORB with Golden Zone FIB targets, Any Timeframe by TenAMTraderDescription: This indicator is designed to help traders identify key price levels using Fibonacci extensions and retracements based on the Opening Range Breakout (ORB). The levels are visualized as “Golden Zones”, which can serve as potential targets for trades. Features: Customizable ORB Timeframe: By default, the ORB is set from 9:30 AM to 9:45 AM EST, but any timeframe can be configured in the settings to fit your trading style. Golden Zones as Targets: Fibonacci levels are intended to be used as potential profit-taking zones or areas to monitor for reversals, providing a structured framework for intraday and swing trading. Adjustable Chart Settings: Color-coded levels make it easy to interpret at a glance, and all lines can be customized for personal preference. Versatile Application: The indicator works across any timeframe, enabling traders to analyze both intraday and multi-day price action. How to Use: Ensure Regular Trading Hours (RTH) is enabled on your chart for accurate level calculation. Observe price action near Golden Zones: a confirmed breakout may indicate continuation, while a pullback could signal a reversal opportunity. Use the Golden Zones as reference targets for managing risk and planning exits. Adjust the ORB timeframe and display settings to match your preferred trading style. Legal Disclosure: This indicator is provided for educational purposes only and is not financial advice. Trading carries a substantial risk of loss. Users should always perform their own analysis and consult a licensed financial professional before making any trading decisions. Past performance is not indicative of future results.
Penunjuk Pine Script®
oleh TenAM_Trader
Future Value ProjectionFuture Value Projection with Actual CAGR This indicator calculates the future value (FV) of the current ticker’s price using its historical Compound Annual Growth Rate (CAGR). It measures how much the price has grown over a chosen lookback period, derives the average annual growth rate, and then projects the current price forward into the future. Formulae: CAGR: CAGR = ( PV_now / PV_past )^(1 / t) - 1 Future Value: FV = PV_now × ( 1 + CAGR / n )^( n × T ) Where: PV_now = Current price PV_past = Price t years ago t = Lookback period (years) CAGR = Compound Annual Growth Rate n = Compounding periods per year (1=annual, 12=monthly, 252=daily, etc.) T = Projection horizon (years forward) How it works: Select a lookback period (e.g., 3 years). The script finds the price from that time and computes the CAGR. It then projects the current price forward by T years using the CAGR. The chart shows: Current price (blue) Projected FV target (green) A table with CAGR and projection details Use case: Helps investors and traders visualize long-term growth projections if the ticker continues growing at its historical pace.
Penunjuk Pine Script®
oleh isaleem10
Third Eye ORB Pro (0915-0930 IST, no-plot)Third Eye ORB Pro (Opening Range Breakout + Range Mode) This indicator is designed specifically for Indian stocks and indices (NIFTY, BANKNIFTY, FINNIFTY, MIDCAP, etc.) to track the Opening Range (09:15–09:30 IST) and generate actionable intraday trade signals. It combines two key modes — Range Mode (mean reversion inside the opening range) and Breakout Mode (momentum trading beyond the range). 1. Opening Range Framework (09:15–09:30 IST) The indicator automatically plots the Opening Range High (ORH) and Opening Range Low (ORL) after the first 15 minutes of market open. The area between ORH and ORL acts as the intraday battlefield where most price action occurs (historically ~70–80% of the day is spent inside this zone). A shaded box and horizontal lines mark this range, serving as a visual reference for support and resistance throughout the day. 2. Range Mode (Mean Reversion Inside OR) When price trades inside the Opening Range, the indicator looks for edge rejections to capture range-bound trades. Range BUY (RB): Triggered near ORL when a bullish rejection candle forms (strong body + long lower wick). Range SELL (RS): Triggered near ORH when a bearish rejection candle forms (strong body + long upper wick). Optional filters (toggleable in settings): RSI Filter: Only allow range buys if RSI is oversold (≤45) and range sells if RSI is overbought (≥55). VWAP Filter: Only allow range trades if price is not too far from VWAP (distance ≤ X% of OR size). Labels show suggested Stop Loss (just outside the OR band) and Target (midline/VWAP). Cooldown logic prevents consecutive whipsaw signals. 3. Breakout Mode (Directional Moves Beyond OR) When price closes strongly outside the ORH/ORL with momentum, the indicator confirms a breakout/breakdown trade. Buffers are applied to avoid false breakouts: ATR Buffer: Price must extend at least ATR × multiplier beyond the range edge. % Buffer: Price must extend at least a percentage of OR size (default 10%). Confirmation Filters: Candle must have a strong body (≥60% of total bar range). Optional “two closes” rule: price must close outside the range for 2 consecutive candles. BUY BO: Trigger when price closes above ORH + buffer with momentum. SELL BD: Trigger when price closes below ORL – buffer with momentum. Labels and alerts are plotted for quick action. 4. Practical Usage Works best on 5-minute charts for intraday trading. Designed to help traders capture both: Range-bound moves during the day (mean reversion plays). Strong directional breakouts when institutions push price beyond the opening range. Particularly effective on expiry days, trending sessions, and major news days when breakouts are more likely. On sideways days, Range Mode provides reliable scalp opportunities at the OR edges. 5. Features Auto-plots Opening Range High, Low, Midline. Box + line visuals (no repainting). Buy/Sell labels for both Range Mode and Breakout Mode. Customizable buffers (ATR, % of range) to suit volatility. Alerts for all signals (breakouts and range plays). Built with risk management in mind (suggested SL and TP shown on chart).
Penunjuk Pine Script®
oleh Spoiltbrat
Trend by ΔMA + Double ZigZag + EMA/WMA Bands by KidevThis script is a multi-tool trend and structure analyzer combining moving average slope confirmation, double zigzag swing mapping, and dynamic EMA/WMA trend bands — all in one overlay indicator. 🔹 Key Features: ΔMA Trend Detection Detects trend shifts using the slope of a chosen moving average (SMA, EMA, WMA, RMA, HMA). Confirms uptrend/downtrend only after a user-defined confirmation window. Draws color-coded MA line (green = uptrend, red = downtrend, gray = sideways). Optional arrows for trend change entries. Alerts for confirmed trend shifts. Double ZigZag Swing Analysis Two customizable ZigZag layers with independent lookback periods. Optional swing labels (HH, HL, LH, LL) to track market structure. Full control over line style, width, and colors for each ZigZag. EMA Band (96 default) Plots a dynamic EMA channel (High, HLC3, Low). Visual band highlights volatility and trend zones. Adjustable fill color and transparency. Weighted Moving Average (WMA 96) Clean trend-following baseline. Adjustable source, length, and color. Background Highlight Toggleable background shading for bullish / bearish / sideways conditions. Fully customizable colors and transparency. Helps visually separate market phases at a glance. Note: ZigZag repainting is inherent by design (future swings refine past points). Use it as a structural guide, not as a standalone signal.
Penunjuk Pine Script®
oleh kidevswamynathan
Intraday Scalping Trading System with AlertsThis is a unique script in the way it signals and alert on Volume Imbalances and VWAP based out on ATR. Many professional traders consider Volume Imbalance as a great indicator to identify stock movement. I didn't find any indicator or all these option together so created one for us. 1. Fully controllable with toggle buttons. 2. Choose you best Trading directional signals with filters as per your sentiments - 2. EMA crossings - EMA crossings + VWAP confirmation - EMA crossings + SuperTrend Confirmation 3. Highest and Lowest volumes visually appeared 4. OHLCs Daily, Weekly and Monthly line options 5. First Candle Range - you can choose First candle range and it's time frame (default IST 9:15 but you can customize in pinescript as per your preferred Time Zone or just hide with toggle button.
Penunjuk Pine Script®
oleh AdarshSrivastava
1