Mulakan

Cari dalam skrip untuk "GOLD"

Golden Triangle StrategyGolden Triangle strategy setup is a variation of the buy-the-dip strategy, by Charlotte Hudgin. You can find the detailed explanation here by Thomas N. Bulkowski thepatternsite.com BUY === 1. price should be trading above sma50 2. when it touches sma50 first time , check the starting rallypoint of where it initiated 3. from the above point to current close , see if you have white space , then draw the triangle 4. then check for volume confirmation ( current volume should be greater than last 4 ) --- I have slightly changed this to fit into hourly strategy by adding condition close>vwap EXIT ==== 1. Exit when close crossing down sma50 with at least 2% profit (slightly modified original condition) StopLoss ======== 2. stop loss is set to 6% Warning ======= For the use of educational purposes only
Strategi Pine Script®
oleh eemani123
23
Bitcoin Golden Ratio Fibonacci IndicatorI didn't see this one already it isn't my original idea either. I pulled the formula's from an article on medium, I also added few bear market bottom fib indicators. Credit to the article I pulled the formula from. The Golden Ratio Multiplier Unlocking the mathematically organic nature of Bitcoin adoption Go to the profile of Philip Swift (@PositiveCrypto) Philip Swift (@PositiveCrypto) Jun 17, 2019 By Philip Swift Release Notes: Fixed spelling error on title, added a couple long and short labels for the top and bottom indicator.
Penunjuk Pine Script®
oleh bgpipes
2
DOW / GOLD RatioThis indicator shows the ratio between the DJIA and the price of gold. When the ratio is below 5 it is generally accepted that a rotation from commodities to equities should be investigated. When the ratio is above 30 it is, likewise, advised to consider rotating from equities to commodities. This is a modest improvement of the script to mark the key thresholds where equities/commodities holdings rotations could be prudent. I’m sure I’ll be submitting a number of instances of these scripts as I learn the syntax and features while developing them.
Penunjuk Pine Script®
oleh gurple
RiskCalc FX & GoldRiskCalc FX & Gold is a multi-market position sizing tool designed to help you manage risk quickly and accurately. With this script, simply enter your account capital, the percentage of risk you wish to take, and your stop in ticks. Depending on the selected market—Forex or XAUUSD—the script automatically adjusts its calculations: Forex: Assumes 1 lot equals 100,000 units. XAUUSD: Assumes 1 lot equals 100 ounces. The script calculates your risk in dollars and, using a fixed value of 1 USD per tick per lot, determines the ideal position size in both lots and total contracts. Results are displayed in a clear, centralized table at the top of the chart for real-time decision-making. Perfect for traders operating across multiple markets who need an automated and consistent approach to risk management.
Penunjuk Pine Script®
oleh PoPeyGroupinc
Full Swing Gold Vwap Macd SMO StrategyThis is a full strategy designed for gold market using 12h timeframe chart. Its components are: VWAP monthly SMO oscillator MACD histogram Rules for entry: For long: when enter when close of the candle is above vwap monthly, current histogram is higher than the previous one and SMO oscillator is above 0 For long: when enter when close of the candle is below vwap monthly, current histogram is lower than the previous one and SMO oscillator is below 0 Rules for exit: We exit the trade if we get a reverse condition. We also exit the trade based on a risk management system, both for SL and TP using % movements. If you have any questions let me know !
Strategi Pine Script®
oleh exlux
Swing or scalping GOLD [RickAtwood] Swing or scalping - automatically determine the currently active trends. Various moving averages are used. It is also designed for any type of trader from scalping to swing. The key 3 moving averages are designed to identify support and resistance. If the price bounces off them, boldly open and place a stop of 10-20 pips(currency pairs) Functional buy ---> green candles sell ----> red candles There are alerts for buy and sell based on crossovers If the price is above the cloud then buy. If the price is below the cloud then sell. The main thing is to open deals only at the very beginning when the price starts to leave the cloud. Also, your stops will be minimal. When testing this system, we opened 750 trades manually. Success rate of 71% for currency pairs and for gold P.s If you have any questions about how to open, how to close deals. Always write to me, I will help you) Success to all.
Penunjuk Pine Script®
oleh AstroHub
9
Portfolio and Risk Management: Gold Based Net Growth CoefficientHello, if our topic is stocks, whatever signal we get, we have to divide and reduce the risk. Apart from the risk, we need inflation-free figures to detect a clear growth. Gold is one of the most successful tools to beat inflation in this regard in the historical context. When the economy is good, we have to beat both commodities and inflation. For this purpose, I found it appropriate to develop a net growth factor free from gold growth. Investors need several stocks with a high growth rate and as much risk-free as possible. Personally, I think that the science of portfolio and risk management will last a lifetime and should continue. I think this subject is a research and development subject.(R & D) My research and publications on this matter will continue publicly. I wish everyone a good day. NOTE : You can determine the return in the time period you want to look back by adjusting the period in the rate you want from the menu. The standard value is 200 days. (1 year)
Penunjuk Pine Script®
oleh Noldo
2
ANN MACD GOLD (XAUUSD)This script aims to establish artificial neural networks with gold data.(4H) Details : Learning cycles: 329818 Training error: 0.012767 ( Slightly above average but negligible.) Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example rows: 0 Excluded example rows: 0 Duplicated example rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 5 Hidden layer 2 nodes: 1 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Target error: 0.0100 NOTE : Alarms added. And special thanks to dear wroclai for his great effort. Deep learning series will continue . Stay tuned! Regards.
Penunjuk Pine Script®
oleh Noldo
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
Gold ValuationGold Value Index The Gold Value Index (GVI) is a macro-driven oscillator that estimates the relative value of gold based on real-time movements in the US Dollar Index (DXY) and the 10-Year US Treasury Yield (US10Y). It helps traders contextualize gold’s price within broader macroeconomic pressure — identifying when gold may be over- or undervalued relative to these key drivers. How It Works – Macro Inputs: DXY (US Dollar Index): Typically moves inversely to gold. A rising dollar suggests downward pressure on gold value. US10Y Yield: Higher yields increase the opportunity cost of holding gold, often leading to weaker gold prices. Both inputs are Z-score normalized and inverted to reflect their typical negative correlation with gold. When combined, they form a single, scaled index from 0 (undervalued) to 100 (overvalued). Why Use This Tool? Gold reacts to macro forces as much as technical ones. The GVI blends these inputs into a clear, visual gauge to: Anticipate mean-reversion setups. Avoid emotionally-driven trades in extreme macro conditions. Enhance timing by understanding gold's macro context. Important Notes: Data sources include ICEUS:DXY and TVC:US10Y via TradingView. Code is protected — this is a private, invite-only script.
Penunjuk Pine Script®
oleh Ramon_S
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
Golden Ratio Fibonacci Multipliers Top Detector [UO]Fibonacci levels that show the critical top and bottom levels. There is no way to miss the top and bottom. And a top detector. Also the most important SMA lines (SMA 50, 200), EMA21. Those are the most frequently used lines by traders. This indicator is based on the work of www.tradingview.com His work set me thinking. Could I also see the bottom using Fibonacci numbers? Yes, of course. My favorite timeframes with this indicator are 6H, 1D, 3D. Intensively used for BTC and BNB. And useful for any other coin.
Penunjuk Pine Script®
oleh umur.ozkul
7
Golden Triangle Strategy (1H, Setup 1 & 2)🔺 Golden Triangle Strategy – Setup 1 & 2 with Dynamic Trailing Stop (Optimized for 1H Chart) ### 📘 Strategy Summary This strategy blends **technical pattern recognition** with **volume confirmation** and **dynamic risk management** to capture high-probability breakouts. It features two independent entry setups . More details can be found at thepatternsite.com I have added intelligent trailing stop that **tightens once a profit threshold is reached**. Please note that this is not mentioned in GoldenTriangle strategy. I just added to capture the profits. ### ✅ Entry Setups #### **Setup 1 – Golden Triangle Breakout** * Detects **triangle formations** using recent pivot highs and lows. * A **bullish breakout** is confirmed when: * Price **closes above the triangle top**, and * Price is also **above the 50-period SMA**. * Entry: At breakout candle close. * Ideal for early momentum trades after consolidation. #### **Setup 2 – Price + Volume Confirmation** * Based on **mean reversion followed by volume surge**: * Price drops **below the 50 SMA**, then closes **back above it**. * Requires at least one **"up day"** (current close > previous close). * Volume must be: * Above its 50-SMA, **and** * Higher than each of the **previous 4 days**. * Entry: At the close of volume-confirmation day. * Useful when triangle patterns are not clear, but accumulation is strong. --- ### 📈 Entry Logic Recap | Condition | Setup 1 | Setup 2 | | ------------------ | --------------------- | --------------------------------------- | | Pattern | Triangle Breakout | SMA Reclaim + Volume Surge | | SMA Filter | Close > 50 SMA | Price drops < 50 SMA, then closes above | | Volume Requirement | Not Required | > Volume SMA + > last 4 bars | | Entry Trigger | Breakout candle close | After volume confirmation | --- ### 🚪 Exit Strategy #### 🔁 **Trailing Stop Loss (TSL)** * **Initial stop:** 10% below the **highest price reached** after entry. * **Tightening rule:** * When profit reaches **10%**, the trailing stop is **tightened to 5%**. * This keeps you in the trade while locking in more profit as the trade moves in your favor. #### 🔻 **Manual Close** * If the price drops below the trailing stop, the position is automatically closed using `strategy.close()`. --- ### 🌈 Visual Aids & Additions * Green background shading while in a trade. * Real-time dashboard showing: * SMA values * Entry signals * Plots for: * Dynamic trailing stop * Weekly Fibonacci R3 and S3 levels as outer support/resistance zones. --- ### 🧠 Ideal Use Cases * Works well on **1-hour charts** for intraday to short swing trades. * Especially effective in **sideways-to-bullish markets**. * Helps avoid false breakouts by using SMA and volume filters. --- Tip: I also showed weekly R3 on the chart. When the price touches at this level lock your profits. You Dont have to wait until price hits trailing stop loss. warning : This strategy is published educational purposes only.
Strategi Pine Script®
oleh eemani123