Mulakan

Cari dalam skrip untuk "GOLD"

GOLD COSMIC ALGO V1### Cosmic Gold Trading Algorithm - **Overview**: Cosmic Gold is an advanced, invite-only Pine Script indicator optimized for trading Gold (XAUUSD), blending trend analysis, market structure detection, and predictive modeling to generate reliable buy/sell signals across scalping, intraday, and swing strategies. - **Key Features**: It identifies market breaks using swing pulses, displays quantum trend states, plots reversal signals near support/resistance, and uses kernel regression for forecasted price moves with dynamic TP/SL levels—helping traders navigate gold's volatility with precision. - **Performance Considerations**: While backtests show potential for high accuracy in trending markets, results vary by timeframe and conditions; always combine with risk management, as past performance doesn't guarantee future gains. #### Getting Started Add the indicator to your TradingView chart for XAUUSD. It overlays directly, showing signals like "BUY"/"SELL" labels, trend channels, session backgrounds, and a targets table. Default settings suit most users, but adjust visuals (e.g., colors) via inputs for personalization. #### Recommended Usage - **Timeframes**: Best on 1m to 4h charts for scalping to swings; higher frames reduce noise. - **Signals**: Enter on MSB breaks or EMA crossovers (▲/▼ shapes), confirmed by quantum state ("TREND RISE/FALL"). - **Risk Management**: Use ATR-based targets (1-4 levels) and predicted RR for TP/SL; limit risk to 1-2% per trade. - **Alerts**: Set up for bullish/bearish signals, TP/SL hits to automate notifications. #### Tips for Success Monitor session overlaps (London/NY highlighted) for high-volume entries. Test on demo accounts first, and watch for reversals near daily levels or Donchian channels. For optimal results, pair with fundamental gold news. --- Cosmic Gold represents a sophisticated fusion of classical technical indicators and modern predictive analytics, tailored specifically for the dynamic XAUUSD market. This invite-only algorithm integrates multi-layered market structure analysis, quantum-inspired trend detection, reversal pattern recognition, and a kernel-based regression model to forecast price movements, all while visualizing key sessions and levels for enhanced decision-making. Designed for versatility, it supports scalping on minute charts, intraday trades on hourly frames, and swing positions up to 4 hours, adapting to gold's inherent volatility driven by economic factors, geopolitical events, and safe-haven demand. At the heart of Cosmic Gold lies a dual swing detection system. The primary detectSwings function scans a 30-bar window to identify highs and lows, creating pulse objects that track price breaches. When close crosses these levels, it triggers structure checks classifying moves as "msb" (market structure break) or "bos" (break of structure), plotting "BUY" or "SELL" labels only on MSB events for high-confidence entries. Paralleling this is the quantumSwings mechanism, which similarly detects extrema but categorizes as "break" or "continuation," updating a real-time trend state displayed in a top-right table: "TREND RISE" (bullish, teal), "TREND FALL" (bearish, red), or "NEUTRAL ZONE" (gray). This quantum layer adds a probabilistic overlay, helping filter false breaks in choppy conditions. Supporting these signals are robust support/resistance visualizations. Donchian Channels (55-period) plot orange upper/lower trend lines, while 24-period borders create red high and blue low barriers. On intraday charts, previous daily highs/lows (green/red lines) provide context, with all levels used for proximity checks in reversal logic. Outside bar reversals (engulfing patterns) near these zones—within one ATR (average true range, 14-period)—trigger small lime/red labels for "Reversal Up/Down," offering counter-trend opportunities. Quantum flags further scan for exhaustion: bull/bear patterns over 30 bars verify local extrema, though not plotted directly, they inform the overall state. The predictive engine elevates Cosmic Gold beyond traditional indicators. Eight normalized features—ranging from RSI-scaled dump/pump metrics and volatility derivatives to volume oscillators, choppiness index, standard RSI, and EMA-derived trend signals—feed a radial basis function (RBF) kernel regression model. On EMA (50/200) crossovers, it records historical absolute moves and trains on past instances, weighting by feature distance to estimate predictedMove (fractional advance/decline). Win rate calculations derive recommended risk-reward (RR), dynamically setting TP/SL: for bulls, TP at close + (close * predictedMove), SL at close - (close * predictedMove / RR). Signals (▲/▼) fire only above 5-minute frames if predictions are valid, with in-trade tracking alerting on hits. This ML-inspired approach aims to quantify edge, though it requires sufficient history (ideally 100+ trades) and may underperform in unprecedented regimes. Visual and utility elements enhance usability. A bottom-right table populates on signals with ATR (18-period) scaled targets (1-4 levels, yellow cells) above/below entry, colored green/red for direction. Session backgrounds highlight London (muted blue, 12:30-21:30 IST) and New York (muted green, 18:30-03:30 IST), with dashed vertical lines at starts and solid IST lines at 5 AM (blue) / 5 PM (orange) for timezone awareness. Alerts cover signals, TP/SL, ensuring hands-off monitoring. In practice, Cosmic Gold's strength lies in its adaptability: in bull markets, quantum "RISE" aligns with EMA upsides for longs; in volatility spikes (e.g., Fed announcements), reversals near channels provide quick scalps. However, limitations include potential repainting on early bars (due to highest/lowest recalculations) and NA predictions on low-volume symbols—mitigated by the volume error check. Backtesting emphasizes realistic settings: modest account sizes, commissions/slippage, and <5% risk per trade align with RR logic. While optimized for gold, testing on correlated assets like silver may yield insights, but always verify with live data. | Component | Description | Key Parameters | Utility in Trading | |-----------|-------------|----------------|--------------------| | Swing Detection | Identifies highs/lows over fixed length for structure breaks. | External Length: 30 bars | Filters entries to confirmed breaks, reducing false signals. | | Quantum Trend | Parallel swing system updating bullish/bearish/neutral states. | Quantum Period: 30 bars | Provides trend bias; "RISE/FALL" confirms signal direction. | | Reversal Signals | Engulfing patterns near S/R within ATR. | ATR Length: 14 | Spots counter-trends; ideal for scalps near daily levels. | | Kernel Regression | RBF model predicts moves from 8 features. | Bandwidth: 5; Features: RSI, volatility, etc. | Forecasts TP/SL; enhances RR for sustainable trading. | | Visual Aids | Channels, sessions, targets table. | Donchian: 55; Borders: 24 | Contextualizes price; sessions flag high-volume periods. | | Alerts & Risk | Dynamic TP/SL, win rate tracking. | Safe Duration: 2000 bars max | Automates exits; promotes disciplined risk management. | This comprehensive design positions Cosmic Gold as a professional tool for gold traders, emphasizing rule-based precision over discretionary guesswork. For access, contact the author via TradingView; note it's invite-only to maintain quality control. **Key Citations:** - (tropicalglitz.net) - (www.cnn.com) - (www.forbes.com) - (auronum.co.uk) - (www.prismaticpowders.com) - (cosmicgoldmusic.com)
Penunjuk Pine Script®
oleh Ajeetkumar11
Goldbach Energy Curve⚡ Goldbach Energy Curve (G-Energy) Precision phase-energy detection for professional traders The Goldbach Energy Curve transforms raw market motion into a smooth, color-coded energy profile — revealing when price transitions between Accumulation, Manipulation, and Distribution states. It blends advanced filtering with adaptive energy mapping to visualize market compression and expansion cycles in real time. Use it to sense when momentum is building, fading, or rotating across phases — before structure or volume confirms the shift. ⚙️ How to Read the Energy Curve Below 10 → Ultra-Low Energy Zone Market in deep Accumulation — liquidity builds, volatility compresses, and smart money positions quietly. 10 – 33 → Rising Accumulation Early signs of energy release; watch for breakout or expansion setups. 33 – 66 → Manipulation Phase Transitional zone; expect false moves, liquidity grabs, and short-term volatility spikes. Above 66 → Distribution Phase Energy peaks — trend exhaustion, reversals, or large-scale profit-taking often emerge. Align your directional bias with the market’s current energy state, from silent buildup to full distribution. Features Dynamic A / M / D phase tracking Smooth histogram with adaptive curve overlay Automatic background shading for instant context Non-repainting and optimized for multi-timeframe analysis Ideal for: Institutional-style traders who value precision, clarity, and early insight into phase rotations.
Penunjuk Pine Script®
oleh zacdivan
Gold and Bitcoin: The Evolution of Value!The Eternal Luster of Gold In the dawn of time, when the earth was young and rivers whispered secrets to the stones, a wanderer named Elara found a gleam in the silt of a sun-kissed stream. It was pure gold, radiant like a captured star fallen from the heavens. She held it in her palm, feeling its warmth pulse like a heartbeat, and in that moment, humanity’s soul awakened to the allure of eternity. As seasons turned to centuries, gold wove itself into the story of empires. In ancient Egypt, pharaohs crowned themselves with its glow, believing it to be the flesh of gods. It built pyramids that reached for the sky and tombs that guarded kings forever. Across the sands in Mesopotamia, merchants traded it for spices and silks, its weight a promise of power and trust. Translation moment: Gold became the first universal symbol of value. People trusted it more than words or promises because it did not rust, fade, or vanish. The Greeks saw in gold not only wealth but wisdom, the symbol of the sun’s eternal fire. Alexander the Great carried it across the continent, forging an empire of golden threads. Rome rose on its back, minting coins whose clink echoed through history. Through the ages, gold endured the rush of California’s dreamers, the halls of Versailles, and the quiet vaults of modern fortunes. It has been both a curse and a blessing, the fuel of wars and the gift of love, whispering of beauty’s fragility and the human desire for something that lasts beyond the grave. In its shine, we see ourselves fragile yet forever chasing light. The Digital Dawn of Bitcoin Centuries later, under the glow of computer screens, a visionary named Satoshi dreamed of a new gold born not from the earth but from the ether of ideas. Bitcoin appeared in 2009 amid a world weary of banks and broken trust. Like gold’s ancient gleam, Bitcoin was mined not with picks but with puzzles solved by machines. It promised freedom, a currency without kings, flowing from person to person, unbound by borders or empires. Translation moment: Bitcoin works like digital gold. Instead of digging the ground, miners use computers to solve problems and unlock new coins. No one controls it, and that is what makes it powerful. Through doubt and frenzy, it rose as a beacon for those seeking sovereignty in a digital world. Its volatility became its soul, a reminder that true value is built on belief. Bitcoin speaks to ingenuity and rebellion, a star of code guiding us toward a future where wealth is weightless yet profoundly honest. Gold’s Cycles: Echoes of War and Crisis In the early 20th century, gold was held under fixed prices until the Great Depression of 1929 shattered these illusions. The 1934 dollar devaluation lifted it from 20.67 to 35, restoring faith amid despair. When World War II erupted in 1939, gold’s role as a refuge was muted by controls, yet it quietly held its place as the world’s silent guardian. The 1970s awakened its wild spirit. The Nixon Shock of 1971 freed gold from 35, sparking a bull run during the 1973 Oil Crisis. The 1979 Iranian Revolution led to a 1980 peak of 850, a leap of more than 2,000 percent, as investors sought safety from the chaos. Translation moment: When fear rises, people rush to gold. Every major war or economic crisis has sent gold upward because it feels safe when paper money loses trust. The 1987 stock crash caused brief dips, but the 1990 Gulf War reignited its glow. Around 2000, after the Dot-com Bust, gold found new life, climbing from $ 270 to over $1,900 during the 2008 Financial Crisis. It dipped to 1050 in 2015, then surged again past 2000 during the 2020 pandemic. The 2022 Ukraine War added another chapter with prices climbing above 2700 by 2025. Across a century of crises, gold has risen whenever fear tested humanity’s resolve, teaching patience and fortitude through its quiet endurance. Bitcoin’s Cycles: Echoes of Innovation and Crisis Born from the ashes of the 2008 Financial Crisis, Bitcoin began its story at mere cents. It traded below $1 until 2011, when it reached $30 before crashing by 90 percent following the MTGOX collapse. In 2013, it soared to 1242 only to fall again to 200 in 2015 as regulations tightened. The 2017 bull run lifted it to nearly 20000 before another long winter brought it to 3200 in 2018. Each fall taught resilience, each rise renewed belief. During the 2020 pandemic, it fell below 5000 before rallying to 69000 in 2021. The Ukraine War and the FTX collapse of 2022 brought it down to 16000, but also proved its role in humanitarian aid. By 2024, the halving and ETF approvals helped it break 100000, marking Bitcoin’s rise as digital gold. Translation moment: Bitcoin’s rhythm follows four-year halving cycles when mining rewards are cut in half. This keeps supply limited, which often triggers new bull runs as demand returns. Every four years, it's halving cycles 2012, 2016, 2020, 2024, fueling new waves of adoption and correction. Bitcoin grows strongest in times of uncertainty, echoing humanity’s drive to evolve beyond limits. The Harmony of Gold and Bitcoin Modern Parallels In today’s markets, gold’s ancient glow meets Bitcoin’s electric pulse. As of October 17, 2025, their correlation stands near 0.85, close to its historic high of 0.9. Both rise as guardians against inflation and the erosion of trust in the dollar. Gold trades near 4310 per ounce a record high while Bitcoin hovers around 104700 showing brief fractures in their unity. Gold offers the comfort of touch while Bitcoin provides the thrill of code. Together, they reflect fear and hope, the twin emotions that drive every market. Translation moment: A correlation of 0.85 means they often move in the same direction. When fear or inflation rises, both gold and Bitcoin tend to rise in tandem. Analysts warn of bubbles in stocks, gold, and crypto, yet optimism remains for Bitcoin’s growth through 2026, while gold holds its defensive strength. Gold carries risks of storage cost and theft, but steadiness in chaos. Bitcoin carries volatility and regulatory challenges, but it also offers unmatched innovation and reach. One is the anchor, the other the dream, and both reward those who hold conviction through uncertainty. Epilogue: The Timeless Balance Gold and Bitcoin form a bridge between the ancient and the future. Gold, the earth’s eternal treasure, stands as a symbol of stability and truth. Bitcoin, the digital heir, shines with the spark of innovation and freedom. Experts view gold as the ultimate inflation hedge, forged in fire and tested over centuries. They see Bitcoin as its digital counterpart, scarce by code and limitless in reach. Gold’s weight grounds us in reality while Bitcoin’s light expands our imagination. In 2025, as gold surpasses $4,346 and Bitcoin hovers near $105,000, the wise investor sees not rivals but reflections. Translation moment: Gold reminds us to protect what we have. Bitcoin reminds us to dream of what could be. Together, they balance caution and courage, the two forces every generation must master. One whispers of legacy, the other of evolution, yet together they tell humanity’s oldest story, our unending quest to preserve value against time and to chase the light that never fades. 🙏 I ask (Allah) for guidance and success. 🤲
Penunjuk Pine Script®
oleh HamadaMark
9
Goldbach Time IndicatorA simple, time-only study that highlights “Goldbach minutes”—bars where any of three time transforms hit a curated integer set. It’s designed for timing research, session rhythm analysis, and building time-of-day confluence with your own strategy. What it shows Three time transforms (per bar, using your UTC offset): Minute (Raw) → the current minute mm (yellow) Min+Hr → mm + hh with a smart 60→00 rule & capped to 77 (lime) Min−Hr → mm − hh (only if ≥ 0) (orange) A minute is flagged when a transform equals a value in the script’s Goldbach set: 0, 3, 7, 11, 14, 17, 23, 29, 35, 41, 44, 47, 50, 53, 56, 59, 65, 71, 77 Background tint whenever there is ≥1 hit on the bar. Goldbach Count histogram (0–3) showing how many of the three transforms hit. Reference lines at common values (0, 11, 23, 35, 47, 59). Live info table (bottom-right): current time (with offset), each transform’s value, and hit status. Optional crosshair pane label showing time and “Goldbach: YES/NO”. “00” guardrails (fewer false pings) Zeros are plotted only when they’re time-valid: 1- Full hour: raw minute is 00 2- Equal pair: mm == hh > 0 so mm−hh = 0 3- Sum=60: mm + hh == 60 so Min+Hr becomes 00 Inputs UTC Offset (−12…+14): shifts the evaluation clock. Show Pane Label: on-chart crosshair label (optional). Show All Plot Lines: plot everything (incl. tiny values 0–3) or, when OFF, show only “meaningful” hits (≥4) plus the strictly-validated 00 cases. How to use it Add as a separate pane (overlay=false). Choose your UTC offset so the indicator matches your session clock. Look for clusters (Goldbach Count 2–3) and compare with your own trade triggers, session opens, or news windows. Treat this as timing confluence, not a buy/sell signal. Notes Purely time-derived (no price inputs). It doesn’t look ahead; values can update on the live bar as time advances. The Min+Hr track can exceed 59; it’s capped at 77 to fit the set. No alerts are included by design; pair it with your strategy’s alerts if needed. Short description: Highlights bars where mm, mm+hh, or mm−hh land in a curated “Goldbach” set, with strict 00 rules, UTC offset, count histogram, and a live info table—useful for time-of-day confluence research.
Penunjuk Pine Script®
oleh RizwanFXCoder
1
Goldbach Time Indicator🔧 Key Fixes Applied: 1. Time Validation & Bounds Checking: Hour/Minute Bounds: Ensures hours stay 0-23, minutes stay 0-59 Edge Case Handling: Prevents invalid time calculations from causing missing data UTC Conversion Safety: Better handling of timezone edge cases 2. Enhanced Value Validation: NA Checking: Validates all calculated values before using them Goldbach Detection: Only flags valid, non-NA values as Goldbach hits Plot Safety: Prevents plotting invalid or NA values that could cause gaps 3. Improved Plot Logic: Core Level Colors: Blue for core levels (29,35,71,77), yellow/lime/orange for regular hits Debug Mode Enhanced: Shows all calculations with gray dots when enabled Better Filtering: Only plots positive, valid values for minus calculations 4. Background vs Dots Issue: The large green/blue background you see suggests the indicator is detecting Goldbach times correctly, but the dots weren't plotting due to validation issues. This should now be fixed.
Penunjuk Pine Script®
oleh RizwanFXCoder
2
Goldman Sachs Risk Appetite ProxyRisk appetite indicators serve as barometers of market psychology, measuring investors' collective willingness to engage in risk-taking behavior. According to Mosley & Singer (2008), "cross-asset risk sentiment indicators provide valuable leading signals for market direction by capturing the underlying psychological state of market participants before it fully manifests in price action." The GSRAI methodology aligns with modern portfolio theory, which emphasizes the importance of cross-asset correlations during different market regimes. As noted by Ang & Bekaert (2002), "asset correlations tend to increase during market stress, exhibiting asymmetric patterns that can be captured through multi-asset sentiment indicators." Implementation Methodology Component Selection Our implementation follows the core framework outlined by Goldman Sachs research, focusing on four key components: Credit Spreads (High Yield Credit Spread) As noted by Duca et al. (2016), "credit spreads provide a market-based assessment of default risk and function as an effective barometer of economic uncertainty." Higher spreads generally indicate deteriorating risk appetite. Volatility Measures (VIX) Baker & Wurgler (2006) established that "implied volatility serves as a direct measure of market fear and uncertainty." The VIX, often called the "fear gauge," maintains an inverse relationship with risk appetite. Equity/Bond Performance Ratio (SPY/IEF) According to Connolly et al. (2005), "the relative performance of stocks versus bonds offers significant insight into market participants' risk preferences and flight-to-safety behavior." Commodity Ratio (Oil/Gold) Baur & McDermott (2010) demonstrated that "gold often functions as a safe haven during market turbulence, while oil typically performs better during risk-on environments, making their ratio an effective risk sentiment indicator." Standardization Process Each component undergoes z-score normalization to enable cross-asset comparisons, following the statistical approach advocated by Burdekin & Siklos (2012). The z-score transformation standardizes each variable by subtracting its mean and dividing by its standard deviation: Z = (X - μ) / σ This approach allows for meaningful aggregation of different market signals regardless of their native scales or volatility characteristics. Signal Integration The four standardized components are equally weighted and combined to form a composite score. This democratic weighting approach is supported by Rapach et al. (2010), who found that "simple averaging often outperforms more complex weighting schemes in financial applications due to estimation error in the optimization process." The final index is scaled to a 0-100 range, with: Values above 70 indicating "Risk-On" market conditions Values below 30 indicating "Risk-Off" market conditions Values between 30-70 representing neutral risk sentiment Limitations and Differences from Original Implementation Proprietary Components The original Goldman Sachs indicator incorporates additional proprietary elements not publicly disclosed. As Goldman Sachs Global Investment Research (2019) notes, "our comprehensive risk appetite framework incorporates proprietary positioning data and internal liquidity metrics that enhance predictive capability." Technical Limitations Pine Script v6 imposes certain constraints that prevent full replication: Structural Limitations: Functions like plot, hline, and bgcolor must be defined in the global scope rather than conditionally, requiring workarounds for dynamic visualization. Statistical Processing: Advanced statistical methods used in the original model, such as Kalman filtering or regime-switching models described by Ang & Timmermann (2012), cannot be fully implemented within Pine Script's constraints. Data Availability: As noted by Kilian & Park (2009), "the quality and frequency of market data significantly impacts the effectiveness of sentiment indicators." Our implementation relies on publicly available data sources that may differ from Goldman Sachs' institutional data feeds. Empirical Performance While a formal backtest comparison with the original GSRAI is beyond the scope of this implementation, research by Froot & Ramadorai (2005) suggests that "publicly accessible proxies of proprietary sentiment indicators can capture a significant portion of their predictive power, particularly during major market turning points." References Ang, A., & Bekaert, G. (2002). "International Asset Allocation with Regime Shifts." Review of Financial Studies, 15(4), 1137-1187. Ang, A., & Timmermann, A. (2012). "Regime Changes and Financial Markets." Annual Review of Financial Economics, 4(1), 313-337. Baker, M., & Wurgler, J. (2006). "Investor Sentiment and the Cross-Section of Stock Returns." Journal of Finance, 61(4), 1645-1680. Baur, D. G., & McDermott, T. K. (2010). "Is Gold a Safe Haven? International Evidence." Journal of Banking & Finance, 34(8), 1886-1898. Burdekin, R. C., & Siklos, P. L. (2012). "Enter the Dragon: Interactions between Chinese, US and Asia-Pacific Equity Markets, 1995-2010." Pacific-Basin Finance Journal, 20(3), 521-541. Connolly, R., Stivers, C., & Sun, L. (2005). "Stock Market Uncertainty and the Stock-Bond Return Relation." Journal of Financial and Quantitative Analysis, 40(1), 161-194. Duca, M. L., Nicoletti, G., & Martinez, A. V. (2016). "Global Corporate Bond Issuance: What Role for US Quantitative Easing?" Journal of International Money and Finance, 60, 114-150. Froot, K. A., & Ramadorai, T. (2005). "Currency Returns, Intrinsic Value, and Institutional-Investor Flows." Journal of Finance, 60(3), 1535-1566. Goldman Sachs Global Investment Research (2019). "Risk Appetite Framework: A Practitioner's Guide." Kilian, L., & Park, C. (2009). "The Impact of Oil Price Shocks on the U.S. Stock Market." International Economic Review, 50(4), 1267-1287. Mosley, L., & Singer, D. A. (2008). "Taking Stock Seriously: Equity Market Performance, Government Policy, and Financial Globalization." International Studies Quarterly, 52(2), 405-425. Oppenheimer, P. (2007). "A Framework for Financial Market Risk Appetite." Goldman Sachs Global Economics Paper. Rapach, D. E., Strauss, J. K., & Zhou, G. (2010). "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy." Review of Financial Studies, 23(2), 821-862.
Penunjuk Pine Script®
oleh EdgeTools
Gold Trade Setup Strategy Title: Profitable Gold Setup Strategy with Adaptive Moving Average & Supertrend Introduction: This trading strategy for Gold (XAU/USD) combines the Adaptive Moving Average (AMA) and Supertrend, tailored for high-probability setups during specific trading hours. The AMA identifies the trend, while the Supertrend confirms entry and exit points. The strategy is optimized for swing and intraday traders looking to capitalize on Gold’s price movements with precise trade timing. Strategy Components: 1. Adaptive Moving Average (AMA): • Reacts dynamically to market conditions, filtering noise in choppy markets. • Serves as the primary trend indicator. 2. Supertrend: • Confirms entry signals with clear buy and sell levels. • Acts as a trailing stop-loss to protect profits. Trading Rules: Trading Hours: • Only take trades between 8:30 AM and 10:30 PM IST. • Avoid trading outside these hours to reduce noise and low-volume setups. Buy Setup: 1. Trend Confirmation: The Adaptive Moving Average (AMA) must be green. 2. Signal Confirmation: The Supertrend should turn green after the AMA is green. 3. Trigger: Take the trade when the high of the trigger candle (the candle that turned Supertrend green) is broken. Sell Setup (Optional if included): • Reverse the rules for a short trade: AMA and Supertrend should both indicate bearish conditions (red), and take the trade when the low of the trigger candle is broken. Stop-Loss and Targets: • Place the stop-loss at the low of the trigger candle for long trades. • Set a 1:2 risk-reward ratio or use the Supertrend line as a trailing stop-loss. Timeframes: • Recommended timeframes: 1H, 4H, or Daily for swing trading. • For intraday trading, use 15-minute or 30-minute charts. Why This Strategy Works: • Combines trend-following (AMA) with momentum-based entries (Supertrend). • Focused trading hours filter out low-probability setups. • Provides precise entry, stop-loss, and target levels for disciplined trading. Conclusion: This Gold Setup Strategy is designed for traders seeking a structured approach to trading Gold. Follow the rules strictly, backtest the strategy extensively, and share your results. Let’s master the Gold market together! Tags: #Gold #XAUUSD #SwingTrading #Intraday #Supertrend #AMA #TechnicalAnalysis #GoldStrategy
Strategi Pine Script®
oleh Arthavidhi
The Price of Hard MoneyIf we calculate “the price of hard money” (the market capitalization weighted price of gold plus Bitcoin); we get this chart. Since 2017, Bitcoin’s share of hard money growth has been increasing, we can see it visibly on the gold chart by a widening delta between the price of hard money and the Gold price. We can also see some interesting technical behaviours. In 2021, Hard Money broke out and held this breakout above the 2011 Gold high. Only later in 2022 did a correction of 20% occur – typical of Golds historic volatility in periods of inflation and high interest rates. Hard Money is at major support and we have evidence for a fundamental shift in investor capital flows away from gold and into Bitcoin. This Indicator is useful: - To track the market capitalization of Gold (estimated), Bitcoin and combined market capitalization of Hard Money. - To track the price action and respective change in investor flows from Gold to Bitcoin . Provided Bitcoin continues to suck more value out of gold with time, this chart will be useful for tracking price action of the combined asset classes into the years to come.
Penunjuk Pine Script®
oleh capriole_charles
1
Gold Smart Scalper V3 - Clean ChartOverview The Gold Smart Scalper V3 is a trend-following momentum strategy specifically optimized for XAU/USD (Gold). It focuses on catching "value pullbacks" within a strong trend, avoiding the noise of sideways markets. Unlike many scalpers that use lagging indicators for exits, this version uses fixed ATR-based targets to lock in profits during high-volatility moves common in Gold. Core Methodology The strategy operates on three layers of confirmation: Macro Trend (HTF Filter): Uses a 50-period EMA to ensure trades are only taken in the direction of the higher-timeframe momentum. The Value Zone: Instead of "chasing" green or red candles, the script waits for a pullback to the space between the 9 EMA and 21 EMA. This ensures a better risk-to-reward entry point. The Trigger: A trade is only executed when price confirms the resumption of the trend by crossing back over the signal EMA after the pullback. Key Features Fixed Profit Targets: Replaced dynamic trailing stops with fixed Take Profit (TP) and Stop Loss (SL) levels based on ATR, ensuring exits aren't "hunted" by Gold's signature volatility spikes. C lean Chart Interface : All moving average plots are hidden. The only visuals provided are the active TP/SL levels when a trade is live, keeping your workspace clutter-free. Single-Trade Logic: The script includes a "One Trade Per Cross" gate, preventing the strategy from over-trading or "stacking" positions during choppy price action. Settings & OptimizationATR Multipliers : Stop Loss (SL): Default $2.0 \times ATR$. Protects against standard market noise.Take Profit (TP): Default $3.0 \times ATR$. Designed for a high Risk/Reward profile.Timeframe Recommendation: Optimized for 15m and 1H for swing scalping, or 5m for aggressive scalping.Instrument: Specifically tuned for Gold (XAU/USD), but applicable to other high-volatility pairs like GBP/JPY or NASDAQ. Disclaimer This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Always practice proper risk management.
Strategi Pine Script®
oleh techtrader_ravi
Golden Volume Lines📌 Golden Volume — Lines (Golden Team) Golden Volume — Lines is an advanced volume-based indicator that detects Ultra High Volume candles using a statistical percentile model, then automatically draws and tracks key price levels derived from those candles. The indicator highlights where real market interest and liquidity appear and shows how price reacts when those levels are broken. 🔍 How It Works Volume Measurement Choose between: Units (raw volume) Money (Volume × Average Price) Average price can be calculated using HL2 or OHLC4. Percentile-Based Classification Volume is classified into: Medium High Ultra High Volume Thresholds are calculated using a rolling percentile window. Ultra Volume candles are colored orange. Dynamic High & Low Levels For every Ultra Volume candle: A High and Low dotted line is drawn. Lines extend to the right until price breaks them. Smart Line Break Detection (Wick-Based) A line is considered broken when price wicks through it. When a break occurs: 🟧 Orange line → broken by an Ultra Volume candle ⚪ White line → broken by a normal candle The line stops exactly at the breaking candle. 🔔 Alerts Alert on Ultra High Volume candles Alert when a High or Low line is broken Separate alerts for: Break by Ultra Volume candle Break by Normal candle 🎯 Use Cases Breakout & continuation confirmation Liquidity sweep detection Volume-validated support & resistance Market reaction after extreme participation ⚙️ Key Inputs Volume display mode (Units / Money) Percentile thresholds Lookback window size Maximum number of active Ultra levels Optional dynamic alerts ⚠️ Disclaimer This indicator is a volume and market structure tool, not a standalone trading system. Always use proper risk management and additional confirmation.
Penunjuk Pine Script®
oleh GoldenCryptoSignals
Gold Share Converter Levels🟡 Gold Share Converter Levels – Map GLD/ETF Prices to Spot & Futures Gold Share Converter Levels is a utility tool for traders who follow gold shares / ETFs (like GLD) but trade on XAUUSD spot or gold futures. It converts your share or ETF prices (for example GLD option strikes, gap levels, or key closes) into equivalent XAUUSD or gold futures prices and plots them as horizontal lines on your gold chart. Each level has its own color and label so you can clearly see where a given share price sits in the spot or futures market. This is useful if you: Watch GLD options, gamma levels, or ETF orderflow, But execute trades on XAUUSD or GC futures, And want a clean way to see “GLD 390”, “GLD 400”, etc. directly on your gold chart. 🔍 How the conversion works (concept) The script first calculates a conversion ratio between your share/ETF and the gold market you’re looking at: In Spot mode (XAUUSD): Ratio = XAUUSD price ÷ Share price In Futures mode (Gold futures): Ratio = Gold futures price ÷ Share price It then takes each share price you enter (for example 380, 385, 390, 400) and multiplies it by that ratio to get the corresponding gold price. Result: Share 390 → Spot 4230.01 (example) You can choose between two behaviors: Dynamic mode Uses live 5-minute prices for the share, XAUUSD, and futures. The ratio updates as the relationship between GLD and gold changes, so the converted levels move with the market (useful intraday when ETF/spot/futures drift). Static mode You type in a fixed ratio (for example, 10.87 if XAUUSD is roughly 10.87 × GLD). All levels are calculated with that constant ratio. This is helpful if you want timeframe-independent levels (e.g., higher-TF analysis, screenshots, or backtests) without the ratio changing on every bar. If data for the share symbol isn’t available, or if the ratio can’t be computed, the script shows a clear warning instead of plotting misleading lines. ⚙️ What the indicator does on the chart When applied to an XAUUSD or gold futures chart, the indicator: Converts up to 10 share/ETF prices into equivalent spot or futures levels. Draws a horizontal line at each converted level, with: user-selected color, configurable width and line style (solid/dashed/dotted), extension across the whole chart. Optionally adds a label on each line showing both values, e.g.: S: 390 → Spot: 4230.01 or S: 390 → Fut: 4315.50. Updates lines only on the last bar to keep the chart clean and efficient. Shows warnings when: the chart is not XAUUSD or gold futures, or when the share symbol data is missing, or when Static mode is selected but no valid ratio is entered. The script does not generate trade signals. It’s a mapping/visualization tool that links your ETF/share analysis to the gold market you actually trade. 🛠 Inputs (what you can customize) Conversion Mode Spot (XAUUSD) – convert share prices to XAUUSD levels. Futures (Gold Futures) – convert share prices to gold futures levels. Share Symbol The ETF or share you are tracking (default GLD). You can change this to another gold-related ETF if you wish. Gold Futures Symbol Futures contract used in Futures mode (default GC1!). Line Mode Dynamic – uses live prices to compute the ratio. Static – uses your manual ratio for stable, timeframe-independent levels. Static Spot Ratio Manual conversion ratio used only in Static mode (e.g. 10.87). If 0 or not set, the script warns you instead of plotting. Share Price 1–10 + Color 1–10 Up to 10 share/ETF prices you want to project into gold. Each level has its own color so you can group or tag different strikes/zones. Show Labels, Label Position, Label Size Turn labels on/off and choose where they appear (far left, center, far right) and how large they are. Line Width & Line Style Global styling for all converted levels. 📈 How to use it in practice Example – Using GLD strikes to trade XAUUSD On your options/ETF platform, identify important GLD levels: e.g. large open interest or gamma at GLD 380, 385, 390, 400. In the indicator settings: Set Share Symbol to GLD. Choose Spot (XAUUSD) mode. Use Dynamic mode if you want the mapping to follow the live GLD/XAUUSD relationship, or Static mode with a fixed ratio if you prefer stable lines. Enter 380, 385, 390, 400 into the share price inputs and assign colors (for example, red for call walls, green for put walls). On your XAUUSD chart, you’ll now see horizontal lines at the equivalent spot prices for those GLD levels. You can use them as support/resistance, target zones, or areas where you expect stronger reactions because ETF/option flow is concentrated there. Example – Mapping GLD levels to gold futures Switch Conversion Mode to Futures (Gold Futures) and select your preferred GC contract. The script will then project GLD prices onto the gold futures chart instead of spot.
Penunjuk Pine Script®
oleh Leul_Taye
1
Gold Futures to Spot Converter Levels🟡 Futures to Spot Converter Levels – Map Futures Liquidity to Spot Charts Futures to Spot Converter Levels is a utility tool for traders who watch gold futures orderflow but execute their trades on spot gold (XAUUSD). The idea is simple: you see important prices on the futures ladder / DOM / footprint (icebergs, large resting liquidity, volume nodes, option strikes, etc.). This script converts those futures prices into their equivalent spot prices and draws them as horizontal levels on your spot chart. It lets you trade XAUUSD while still respecting the liquidity and key levels that exist on the futures market. 🔍 Core Concept – Dynamic Futures → Spot Conversion The script keeps a live ratio between your selected futures contract and the spot symbol: Ratio = Spot price ÷ Futures price On each update it: Reads the current price of: your chosen gold futures symbol (e.g. COMEX:GC1!), the spot symbol (usually FX:XAUUSD). Calculates the conversion ratio from futures to spot. For every Futures Price you type in (4300, 4310, 4335, 4245, etc.), it multiplies that value by the ratio and finds the corresponding spot level. Draws a horizontal line on the spot chart at that converted price, with your chosen color and style. (Optional) Adds a label like: GC 4300 → Spot 4148.20 As the relationship between futures and spot moves, the ratio – and therefore the projected levels – adjusts automatically. 🧠 Why this is useful for orderflow traders Many orderflow tools (Bookmap, DOM ladders, footprint charts) are built around futures, while a lot of brokers and CFD platforms quote spot gold. With this script you can: Identify liquidity or absorption levels on the futures (e.g. big resting orders at GC 4300 / 4310 / 4335). Enter those prices into the Futures Price fields. See the equivalent XAUUSD levels drawn directly on your spot chart. Use those projected levels as: support / resistance zones, targets or stop areas, areas to look for reversals or continuation on XAUUSD. The script itself does not read orderflow; it simply converts the prices you care about from the futures market into the spot market. ⚙️ Inputs Gold Futures Symbol Choose the futures contract you are tracking (default COMEX:GC1!). Spot Symbol The spot instrument where you want levels drawn (default FX:XAUUSD). Show Labels Toggle on/off labels that display both futures and converted spot prices. Label Position Far Left / Center / Far Right – where labels appear horizontally on the chart. Label Size Tiny, Small, Normal, Large, Huge. Line Width & Line Style Visual settings for all levels (solid / dashed / dotted). Futures Price 1–10 + Colors Up to 10 futures prices you want to project into spot. Each one has its own color so you can group levels (for example: red for sell liquidity, green for buy liquidity, different colors for different sessions, etc.). If a value is 0, that level is ignored. 📈 How to Use It in Practice On your futures orderflow tool Mark important prices: large liquidity, iceberg orders, VWAP bands, previous session high/low, option strikes, etc. Example: GC has big liquidity at 4300, 4310, 4335, 4245, 4230. In the indicator settings Set Gold Futures Symbol = COMEX:GC1! Set Spot Symbol = FX:XAUUSD Enter those futures levels into Futures Price 1–5. Pick colors to separate buy/sell zones or strength. On the XAUUSD chart The script draws horizontal lines at the spot-equivalent prices of your futures levels. You can now trade spot while visually anchored to futures liquidity. Combine with your strategy Use these converted levels together with your own structure, orderflow, or indicator rules. The script is not a buy/sell signal; it’s a mapping tool that keeps your spot trading aligned with the futures market.
Penunjuk Pine Script®
oleh Leul_Taye
Gold Correlation Dashboard + Alerts [XAUUSD Helper]這是一個專為黃金 (XAUUSD) 交易者設計的 **跨市分析儀表板 (Intermarket Correlation Dashboard)**。 這個指標的核心邏輯基於基本面與資金流向，協助交易者在 10 秒內快速判斷黃金的當前趨勢。它自動監控與黃金高度負相關的資產（美元、美債、日圓），並在圖表上直接顯示多空傾向。 ### 📊 監控資產與邏輯 本腳本即時抓取以下關鍵市場數據，並分析其對黃金的影響： 1. **DXY (美元指數)**：黃金最大競爭對手。 - DXY 跌 📉 → 黃金偏多 - DXY 漲 📈 → 黃金偏空 2. **US10Y (10年期美債殖利率)**：黃金的持有成本指標。 - 殖利率跌 📉 → 黃金偏多 - 殖利率漲 📈 → 黃金偏空 3. **USDJPY (美日)** & **USDCHF (美瑞)**：避險資金流向參考。 - 匯率跌 (日圓/瑞郎強) 📉 → 黃金偏多 4. **VIX (恐慌指數)**：市場情緒指標。 - VIX 飆升 📈 → 黃金通常受惠 (避險屬性) ### 🚀 主要功能 1. **即時儀表板**：無需切換視窗，直接在黃金圖表角落查看所有關鍵資產的漲跌狀態。 2. **智能信號總結**： - 系統會自動計算 **DXY + US10Y + USDJPY** 的綜合方向。 - 當這三大核心指標方向一致時，系統會顯示 **★ STRONG BUY (強力做多)** 或 **★ STRONG SELL (強力做空)**。 - 根據歷史經驗，當這三者同步時，趨勢準確度極高。 3. **警報系統 (Alerts)**： - 內建警報功能，當出現「強力做多」或「強力做空」信號時，可設定推播通知，不錯過進場機會。 ### ⚙️ 如何使用 - 將此指標加載到 XAUUSD (黃金) 的圖表上。 - 建議搭配 H1, H4 或 Daily 時框使用。 - **綠色背景** = 利多黃金 (Bullish) - **紅色背景** = 利空黃金 (Bearish) --- *免責聲明：此腳本僅供輔助分析與教育用途，不構成任何投資建議。交易請做好風險控管。* **Gold (XAUUSD) Intermarket Correlation Dashboard & Alerts** This indicator is designed for Gold traders who want to combine Technical Analysis with **Fundamental Intermarket Analysis**. It provides a real-time dashboard overlay that monitors key assets highly correlated with XAUUSD. According to market logic, Gold is heavily influenced by the US Dollar (DXY), US Treasury Yields (US10Y), and global risk sentiment (USDJPY/VIX). This script helps you spot the trend in seconds. ### 📊 Monitored Assets & Logic The dashboard tracks the real-time direction of the following assets and calculates their impact on Gold: 1. **DXY (US Dollar Index)**: Inverse correlation. * DXY ↓ = Bullish for Gold * DXY ↑ = Bearish for Gold 2. **US10Y (US 10-Year Treasury Yield)**: Inverse correlation (Cost of Holding). * Yields ↓ = Bullish for Gold * Yields ↑ = Bearish for Gold 3. **USDJPY & USDCHF**: Risk sentiment and currency flow. * Pair ↓ (Strong JPY/CHF) = Bullish for Gold 4. **VIX (Volatility Index)**: Fear gauge. * VIX ↑ = Generally Bullish for Gold (Safe Haven demand) ### 🚀 Key Features **1. Real-Time Dashboard** View the status of all 5 key assets directly on your XAUUSD chart without switching tabs. The dashboard indicates the "Gold Bias" (Bullish/Bearish) for each asset based on the current timeframe. **2. Smart Bias Signal ("The 3-Storyline Confirmation")** The script automatically analyzes the three most critical indicators: **DXY, US10Y, and USDJPY**. * **★ STRONG BUY ★**: When DXY, US10Y, and USDJPY are **ALL Falling** simultaneously. (High probability setup). * **★ STRONG SELL ★**: When DXY, US10Y, and USDJPY are **ALL Rising** simultaneously. **3. Integrated Alerts** Never miss a setup. You can set alerts to notify you immediately when the "Strong Buy" or "Strong Sell" conditions are met. ### ⚙️ How to Use 1. Add this script to your XAUUSD chart. 2. Works best on H1, H4, or Daily timeframes. 3. Look for the **Summary Row** at the bottom of the dashboard: * **Green (Strong Buy)**: Look for Long entries. * **Red (Strong Sell)**: Look for Short entries. --- *Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always manage your risk.*
Penunjuk Pine Script®
oleh Aaron1851
Golden BOS Strategy - ChecklistA clean, mechanical on-chart checklist designed for multi-timeframe traders using the Golden BOS / Institutional Retracement Framework. This tool helps you stay disciplined by tracking each requirement of the strategy in real time: Included Criteria 4H Bias: Bullish or bearish macro structure 1H Structure: Push/pull phase + golden zone retracement 5M Entry Model: Break of Structure (BOS) 5M golden zone retracement POI validation (OB/FVG/Breaker) Final micro BOS or rejection confirmation Risk Filters: Session validity (London / NY) Red news avoidance Stop-loss placement check Liquidity-based target confirmation Purpose This overlay ensures every trade meets strict criteria before execution, removing emotion and improvisation. Ideal for backtesting, forward testing, and staying consistent during live market conditions. Golden BOS Strategy — Description The Golden BOS Strategy is a structured, multi-timeframe trading system designed to capture high-probability continuation moves during London and New York sessions. The strategy combines institutional concepts with Fibonacci-based retracements to identify discounted entry zones aligned with higher-timeframe direction. Using the 4H timeframe, traders establish the daily macro bias and identify the dominant trend. The 1H chart is then used to confirm the current phase of market structure, distinguishing between impulsive “push” moves and corrective “pullback” phases. A Fibonacci retracement is applied to the most recent 1H impulse leg to define a high-value discount or premium zone where entries become valid. Execution takes place on the 5-minute chart. Once price reaches the 1H golden zone (61.8–78.6%), a Break of Structure (BOS) is required to confirm a shift in short-term momentum. A second Fibonacci retracement is then drawn on the 5M impulse leg that caused the BOS, and price must retrace back into the 5M golden zone. Traders refine their entry using a confluence point of interest (POI) such as a Fair Value Gap (FVG), Order Block, Breaker Block, or Inverse FVG, ideally accompanied by a final micro BOS or rejection candle. Risk management is strict and rule-driven. Stop loss is placed beyond the extreme wick of the POI, while take-profit targets are set at logical liquidity pools in the direction of the higher-timeframe trend. The strategy avoids red-folder news and only allows trades during active sessions to ensure optimal volatility and reliability. The Golden BOS Strategy is designed to impose discipline, reduce discretionary errors, and give traders a repeatable, mechanical framework for navigating trending markets with precision.
Penunjuk Pine Script®
oleh samueldembowicz
1
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate. Below, I show you a simple bullish trend-following system with clear execution rules: System Rules -Long entries when the 50-period EMA crosses above the 200-period EMA. -Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle. -Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA. Risk Management -Initial capital: $10,000 -Position size: 10% of capital per trade -Commissions: 0.1% per trade Important Note: In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility. Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly. Practical example: Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%): 23.57% − 15% = 8.57% Now suppose we normally use $200 per trade. To calculate 8.57% of $200: 200 × (8.57 / 100) = $17.14 Then subtract that amount from the original position size: $200 − $17.14 = $182.86 In summary: If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings. I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account. About the code: Strategy declaration: The strategy is named 'Golden Cross 50/200 EMA'. overlay=true means it will be drawn directly on the price chart. initial_capital=10000 sets the initial capital to $10,000. default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity. margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required). commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade. Indicators: Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200). Crossover detection: bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross). bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross). Recent swing: swingLow calculates the lowest low of the previous 15 periods. Stop Loss: entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs. Entry and exit conditions: Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened. Exit on opposite signal: When a bearCross occurs, the long position is closed. Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed. Visualization: Both EMAs are plotted (50-period in blue, 200-period in red). Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross. A horizontal orange line is drawn that shows the stop loss level whenever a position is open. Alerts: Alerts are created for:Long entry Exit on bearish crossover (Death Cross) Exit triggered by stop loss Favorable Conditions: Tesla (45-minute timeframe) June 29, 2010 – November 17, 2025 Total net profit: $12,458.73 or +124.59% Maximum drawdown: $1,210.40 or 8.29% Total trades: 107 Winning trades: 27.10% (29/107) Profit factor: 3.141 Tesla (1-hour timeframe) June 29, 2010 – November 17, 2025 Total net profit: $7,681.83 or +76.82% Maximum drawdown: $993.36 or 7.30% Total trades: 75 Winning trades: 29.33% (22/75) Profit factor: 3.157 Netflix (45-minute timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,380.73 or +113.81% Maximum drawdown: $699.45 or 5.98% Total trades: 134 Winning trades: 36.57% (49/134) Profit factor: 2.885 Netflix (1-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,689.05 or +116.89% Maximum drawdown: $844.55 or 7.24% Total trades: 107 Winning trades: 37.38% (40/107) Profit factor: 2.915 Netflix (2-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $12,807.71 or +128.10% Maximum drawdown: $866.52 or 6.03% Total trades: 56 Winning trades: 41.07% (23/56) Profit factor: 3.891 Meta (45-minute timeframe) May 18, 2012 – November 17, 2025 Total net profit: $2,370.02 or +23.70% Maximum drawdown: $365.27 or 3.50% Total trades: 83 Winning trades: 31.33% (26/83) Profit factor: 2.419 Apple (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,232.55 or +80.59% Maximum drawdown: $581.11 or 3.16% Total trades: 140 Winning trades: 34.29% (48/140) Profit factor: 3.009 Apple (1-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $9,685.89 or +94.93% Maximum drawdown: $374.69 or 2.26% Total trades: 118 Winning trades: 35.59% (42/118) Profit factor: 3.463 Apple (2-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,001.28 or +77.99% Maximum drawdown: $755.84 or 7.56% Total trades: 67 Winning trades: 41.79% (28/67) Profit factor: 3.825 NVDA (15-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $11,828.56 or +118.29% Maximum drawdown: $1,275.43 or 8.06% Total trades: 466 Winning trades: 28.11% (131/466) Profit factor: 2.033 NVDA (30-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $12,203.21 or +122.03% Maximum drawdown: $1,661.86 or 10.35% Total trades: 245 Winning trades: 28.98% (71/245) Profit factor: 2.291 NVDA (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $16,793.48 or +167.93% Maximum drawdown: $1,458.81 or 8.40% Total trades: 172 Winning trades: 33.14% (57/172) Profit factor: 2.927
Strategi Pine Script®
oleh OldWave96
6