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Indicateurs et stratégies

10 EMA Indicator ( Murod Khamidov )Quyidagi qisqacha maʼlumot indikatorning asosiy funksiyalarini tushuntiradi: 10 EMA Indikatori Koʻp vaqt oraligʻidagi hisoblash: Indikator TradingView’da 10 ta eksponentsial harakatlanuvchi o‘rtacha (EMA) ni hisoblaydi, har biri uchun alohida timeframe (vaqt oraligʻi) tanlash imkoniyati mavjud. Moslashtiriladigan parametrlar: Har bir EMA uchun mustaqil ravishda parametrlar belgilanishi mumkin: Length: Hisoblash davri (period) aniqlanadi. Source: Hisoblash uchun asosiy narx (masalan, close) tanlanadi. Offset: Chizma siljishi uchun qiymat. Vizual ajratish: Har bir EMA turli rang bilan chiziladi, bu esa grafikda ularni oson aniqlash imkonini beradi. Tahlil va strategiya: Indikator yordamida bozor tendensiyalari, trend yo‘nalishlari va potentsial signal nuqtalari tezda aniqlanishi mumkin. Ushbu indikator turli strategiyalar va tahlillar uchun qulaylik yaratib, bozordagi o‘zgarishlarni tezda kuzatib borishga yordam beradi.
Indicateur Pine Script™
par murodtraderpro
Trend Strength Gauge sam//@version=6 indicator("Trend Strength Gauge", overlay=true) // Input for indicators lengthMA = input.int(50, title="Moving Average Length") lengthATR = input.int(14, title="ATR Length") lengthRSI = input.int(14, title="RSI Length") rsiOverbought = input.int(70, title="RSI Overbought Level") rsiOversold = input.int(30, title="RSI Oversold Level") // Calculating Moving Averages maShort = ta.sma(close, lengthMA) maLong = ta.sma(close, lengthMA * 2) // Using a longer period for trend confirmation // Calculating ATR for volatility atrValue = ta.atr(lengthATR) // Calculating RSI for momentum rsiValue = ta.rsi(close, lengthRSI) // Trend Strength Calculation trendDirection = maShort > maLong ? 1 : -1 volatilityFactor = atrValue / close momentumFactor = rsiValue > rsiOverbought ? -1 : (rsiValue < rsiOversold ? 1 : 0) // Trend Strength Formula (0 to 100) strength = (trendDirection * 50 + volatilityFactor * 50 + momentumFactor * 50) // Normalize strength to be between 0 and 100 strength := math.min(math.max(strength, 0), 100) // Plot the Trend Strength Gauge as a histogram plot(strength, title="Trend Strength", color=color.new(color.blue, 0), linewidth=2, style=plot.style_histogram) // Color the background based on trend strength bgcolor(strength > 70 ? color.new(color.green, 90) : (strength < 30 ? color.new(color.red, 90) : na)) // Plot the moving averages on the chart for reference plot(maShort, title="Short MA", color=color.green, linewidth=2) plot(maLong, title="Long MA", color=color.red, linewidth=2)
Indicateur Pine Script™
par syedsameerahmed00786
Ocean's RSIOverview The Ocean's RSI+ is a custom implementation of the Relative Strength Index (RSI) designed to provide traders with additional insight into market conditions. It builds upon the traditional RSI by introducing custom thresholds, visual bands, and annotations, making it easier to interpret overbought and oversold conditions, potential reversals, and periods of market neutrality. This indicator is intended to help traders identify optimal entry and exit points by analyzing price momentum and strength across predefined levels. How to Use the Indicator 1. Identifying Market Momentum Observe the RSI line: When it trends above 62, the market is likely in a strong uptrend or overbought condition. When it trends below 24, the market is likely in a downtrend or oversold condition. 2. Trading Decisions Based on Zones Strong Buy Zone (RSI < 16): Indicates extreme oversold conditions. Look for reversal patterns and consider entering a long position. Possible Reversal Zone (RSI 24-38): Market may reverse upward soon. Watch for confirmation of bullish momentum. Neutral Zone (RSI 38-50): Market is consolidating; avoid entering large positions. Prepare for potential trend continuation or reversal. Possible Retrace Zone (RSI 50-62): Indicates potential for a slight retracement. Observe price action for continuation or reversal signals. Strong Sell Zone (RSI > 62): Indicates high momentum; market may be overbought. Look for bearish patterns and consider exiting or shorting. Upper Band Zone (RSI > 80): Extreme overbought conditions. Market is at high risk of reversal; consider taking profits. 3. Color Shading as Visual Cues Use the colored bands to quickly assess the market’s state: Red: Caution, overbought levels. Green: Potential trade opportunities. Blue: Caution, oversold levels. 4. Confirmation with Other Indicators Combine Ocean's RSI+ with other indicators (e.g., moving averages, MACD, or volume) for confirmation of trends and reversals. Use price action and candlestick patterns to validate entries and exits.
Indicateur Pine Script™
par ofean
Heikin Ashi EMA Kesişim StratejisiBu kod şunları yapıyor: Heikin Ashi mumlarını hesaplıyor Kullanıcının belirleyebileceği iki EMA periyodu tanımlıyor (varsayılan olarak 9 ve 21) 3. Heikin Ashi kapanış fiyatlarına göre EMA'ları hesaplıyor EMA kesişimlerini tespit ediyor Grafik üzerinde: Mavi çizgi: Hızlı EMA Kırmızı çizgi: Yavaş EMA Yeşil "AL" etiketi: Hızlı EMA yukarı kestiğinde Kırmızı "SAT" etiketi: Hızlı EMA aşağı kestiğinde
Indicateur Pine Script™
par hkanat702
ORB by VJRange Breakout Indicator (RBI) – High-Probability Trading Tool The Range Breakout Indicator (RBI) is a powerful trading tool designed to identify high-probability breakout opportunities with a winning accuracy of over 90%. This indicator analyzes price consolidation zones, detects key breakout levels, and confirms momentum shifts to maximize profitability. Key Features: ✅ Breakout Confirmation: Detects valid breakouts beyond a defined range, reducing false signals. ✅ Smart Volatility Filter: Ensures breakouts occur with sufficient momentum for sustained price movement. ✅ Trend Bias Detection: Aligns breakouts with the prevailing trend for higher success rates. ✅ Risk Management Alerts: Provides optimal stop-loss and take-profit levels for secure trading. ✅ Multi-Timeframe Analysis: Enhances accuracy by filtering signals across different timeframes. Ideal for intraday and swing traders, the RBI helps capitalize on market breakouts with exceptional accuracy, ensuring traders stay ahead of major price movements. 🚀📈
Indicateur Pine Script™
par strike96gaming
3 Min Chart with 15 Min ST & SMAThis indicator combines multiple technical analysis tools on a 3-minute chart to provide potential trading signals. It displays: * **15-Minute Supertrend (ST):** Two Supertrend indicators are plotted - one calculated on the 3-minute chart itself, and another calculated on the 15-minute chart. The 15-minute Supertrend is displayed on the 3-minute chart using `request.security` to provide a broader trend context. Supertrend helps identify potential trend reversals or continuations. * **15-Period Simple Moving Average (SMA):** A 15-period SMA is plotted to visualize the average closing price over the last 15 periods. * **200-Period Exponential Moving Average (EMA):** A 200-period EMA is plotted to identify the long-term trend. * **Trading Signal:** The indicator generates a simple trading signal based on the confluence of the Supertrend and SMA: * **Buy on Dip:** Occurs when the 3-minute Supertrend is bullish, the 15-minute Supertrend is bullish, and the price is above the 15 SMA. * **Sell on Rise:** Occurs when the 3-minute Supertrend is bearish, the 15-minute Supertrend is bearish, and the price is below the 15 SMA. * **Neutral:** Occurs when the above conditions aren't met. * **Table Display:** A table summarizes the current status of: * The 3-minute Supertrend * The 15-minute Supertrend * Price relative to the 15 SMA. * **Candle Body Percentage:** The indicator uses candle body percentage to refine the signals and only generates signals when the candle's body is greater than 40%. * **Higher High/Higher Low:** The indicator identifies Higher High/Lower Low patterns to potentially enhance signal reliability. **How to Use:** * Use the signals as potential entry points. * Consider other indicators and market analysis to confirm signals. * Use the table to quickly assess the key trend and signal components. * Backtest the indicator on historical data to determine optimal parameters for your trading style. **Important Considerations:** * This indicator is a tool and does not guarantee profits. * Market conditions can change, and signals may become inaccurate. * Always use risk management techniques (stop-loss orders, position sizing). * Optimize the parameters (e.g., Supertrend factors, SMA length) to suit the specific asset you are trading and your trading timeframe.
Indicateur Pine Script™
par fernandezjohn36
Power Law Below is a detailed, line-by-line explanation in English of the Pine Script (TradingView) code. It uses Pine Script v6 syntax. --- ```pine //@version=6 indicator("Power Law", overlay=true) ``` 1. `//@version=6` - Declares that this script uses Pine Script version 6. It must appear on the very first line. 2. `indicator("Power Law", overlay=true)` - Defines this script as an indicator named **"Power Law"**. - `overlay=true` means this indicator is plotted on the main chart (the price chart) rather than in a separate pane. --- ```pine // Days X-Axis Value start = time == timestamp(2010, 7, 18, 0, 0) days = request.security("INDEX:BTCUSD", 'D', ta.barssince(start)) offset = 561 // days between 2009/1/1 and "start" d = days + offset ``` 1. `start = time == timestamp(2010, 7, 18, 0, 0)` - Checks if the current bar’s `time` equals July 18, 2010 at 00:00. This returns a boolean value (`true` or `false`). - It’s mainly used together with `ta.barssince(start)` to calculate the number of bars elapsed since this “start” date. 2. `days = request.security("INDEX:BTCUSD", 'D', ta.barssince(start))` - `request.security()` lets the script request data from another symbol or another timeframe—in this case, `"INDEX:BTCUSD"` on the Daily (`'D'`) timeframe. - The third argument, `ta.barssince(start)`, is a built-in function in Pine that counts how many bars have passed since `start` was `true`. In this script, it effectively measures how many daily bars have elapsed since July 18, 2010. - The result is assigned to `days`, indicating “the count of daily bars between July 18, 2010 and the most recent daily bar in the BTC index.” 3. `offset = 561` - A user-defined number. The comment states it’s the number of days between January 1, 2009, and the “start” date (July 18, 2010). It is used to calibrate or shift the day count. 4. `d = days + offset` - Adds the offset to `days`, giving a final day-count-like value (`d`) that the script uses later in the power-law calculations. --- ```pine a = input(-17.668, "Power Law Intercept", group="Power Law Settings") b = input(5.926, "Power Law Slope", group="Power Law Settings") ``` - These lines define two adjustable parameters `a` and `b` using `input()`, making them editable via the indicator’s settings. - `a` (the intercept) is labeled “Power Law Intercept.” - `b` (the slope) is labeled “Power Law Slope.” - `group="Power Law Settings"` puts them into a named group in the settings dialog. --- ```pine price_power_law_0 = math.pow(10, a + b*math.log10(d)) price_power_law_1 = math.pow(10, a + b*math.log10(d + 1*365)) price_power_law_2 = math.pow(10, a + b*math.log10(d + 2*365)) price_power_law_3 = math.pow(10, a + b*math.log10(d + 3*365)) price_power_law_4 = math.pow(10, a + b*math.log10(d + 4*365)) price_power_law_5 = math.pow(10, a + b*math.log10(d + 5*365)) ``` - These lines each calculate a “power law” price value: \ - `d` is the base day count. - `math.log10(...)` takes the base-10 logarithm. - `a` is the intercept; `b` is the slope in the power-law model. - Adding `(1*365), (2*365), ...` to `d` suggests forecasts or curves 1 year, 2 years, etc. beyond the baseline. - `math.pow(10, ... )` is simply 10 raised to the power of `(a + b * log10(...))`. --- ```pine // Use a valid 6-digit color code (e.g. #FFFFAA) or 8-digit (e.g. #FFFFAA80) p0 = plot(price_power_law_0, color=#FFFFAA, title="Power Law", linewidth=1) p1 = plot(price_power_law_1, title="Power Law 1", linewidth=1, color=bar_index % 2 == 0 ? #FFFFAA : #000000) p2 = plot(price_power_law_2, title="Power Law 2", linewidth=1, color=bar_index % 2 == 0 ? #FFFFAA : #000000) p3 = plot(price_power_law_3, title="Power Law 3", linewidth=1, color=bar_index % 2 == 0 ? #FFFFAA : #000000) p4 = plot(price_power_law_4, title="Power Law 4", linewidth=1, color=bar_index % 2 == 0 ? #FFFFAA : #000000) p5 = plot(price_power_law_5, title="Power Law 5", linewidth=1, color=bar_index % 2 == 0 ? #FFFFAA : #000000) ``` 1. The script plots six lines (from `price_power_law_0` to `price_power_law_5`). 2. `color=#FFFFAA` - A 6-digit hex color (`#RRGGBB`) that sets the line’s color. 3. `color=bar_index % 2 == 0 ? #FFFFAA : #000000` - A conditional color assignment: if `bar_index % 2 == 0`, the color is `#FFFFAA`, otherwise it is `#000000`. This makes line colors alternate depending on the bar index. 4. `linewidth=1` sets the thickness of each line. 5. `title="Power Law X"` sets each line’s label in the chart’s legend. --- ## How It Works - The script calculates how many daily bars have passed since July 18, 2010 (plus a manual offset of 561 days). - It then applies a power-law formula for various offsets (`+ 1*365`, etc.), each representing a different curve. - Finally, it plots these six curves on the main chart, showing potential price trajectories or “power-law” relationships for Bitcoin’s historical data (taken from `"INDEX:BTCUSD"` on a daily timeframe). ## Important Notes 1. **Color Codes** - Must be valid 6-digit or 8-digit hex codes (e.g. `#FFFFAA` or `#FFFFAA80`). Otherwise, you’ll get a syntax error. 2. **`request.security()`** - Fetching data from `"INDEX:BTCUSD"` on a daily timeframe. If your chart is on another symbol or timeframe, the script still references the daily bars from that index, which can lead to alignment differences. 3. **Logarithms** - Make sure `d` (or `d + n*365`) never becomes zero or negative, otherwise `math.log10()` will fail. If your script tries to log10(0) or a negative number, you’ll get an error. 4. **Conceptual Use** - This script’s logic is specific to modeling Bitcoin’s price over time using a power-law approach. You can change the `start` date, the offset, or the intercept/slope inputs to adapt the script for different data sources or fitting strategies. --- **In summary,** this script draws several power-law curves on the chart based on a reference date (July 18, 2010) and an offset, presumably chosen to align with Bitcoin’s historical timeline. By adjusting `a` (the intercept) and `b` (the slope), you can fine-tune how these curves fit the historical data.
Indicateur Pine Script™
par LangShen
SVRS 1M CTCOverview: This TradingView indicator generates Buy, Sell, and Exit signals based on EMA 200 and EMA 9. It also dynamically changes candle colors to improve trend visibility. Key Features: ✅ Buy Signal: When the price is above both EMA 200 & EMA 9 and shows bullish momentum. ✅ Sell Signal: When the price is below both EMA 200 & EMA 9 and shows bearish momentum. ✅ Exit Signal: When the price crosses EMA 200 (either up or down). ✅ Candle Color Change: Green: Price is above EMA 200 (bullish trend). Red: Price is below EMA 200 (bearish trend). Yellow: Price is crossing EMA 200 (potential trend reversal). ✅ Hidden EMA 200 & EMA 9: Used internally for calculations but not displayed on the chart. ✅ Alerts: Notifications for Buy, Sell, and Exit signals. Usage: This indicator helps traders identify trend direction, entry points, and exit signals with enhanced visual clarity through dynamic candle coloring. 🚀
Indicateur Pine Script™
par wisnuprima
OSB + EMA Outside Bar Trading Strategy Buy Setup: 1. Identify a bullish Outside Bar where the high and low exceed the previous candle’s range. 2. Enter a buy trade when price breaks above the high of the Outside Bar. 3. Set a stop-loss below the Outside Bar’s low. 4. Take profit at a key resistance level or use a trailing stop for extended gains. Sell Setup: 1. Identify a bearish Outside Bar with a high and low exceeding the prior candle’s range. 2. Enter a sell trade when price breaks below the low of the Outside Bar. 3. Place a stop-loss above the Outside Bar’s high. 4. Take profit at a support level or use a trailing stop for further downside potential. This strategy works best in trending markets and can be enhanced with confirmation from volume, moving averages, or support/resistance levels. 🚀
Indicateur Pine Script™
par baseddev2024
My scriptKey Enhancements: Stop Loss and Take Profit: We added inputs for Stop Loss and Take Profit percentages. You can modify these values as per your strategy. For example, if you set the Stop Loss to 1% and the Take Profit to 2%, the strategy will automatically place orders to close a position at those levels. Exit Logic: The strategy exits the long position either when the Change of Character occurs (bearish signal) or when the price hits the Stop Loss or Take Profit levels. Plotting Levels: We visually plot the Stop Loss and Take Profit levels on the chart to help you better understand where the strategy is placing these levels. Strategy Performance: By including exit conditions based on both Stop Loss and Take Profit, we can better assess the profitability of the strategy. TradingView automatically calculates performance metrics such as Net Profit, Profit Factor, Win Rate, Drawdown, and others in the Strategy Tester panel. How to Evaluate Profitability: Apply the Script: Copy the updated code into TradingView's Pine Script Editor and click Add to Chart. View Performance Metrics: After applying the strategy, click on the Strategy Tester tab below the chart. In this tab, you will see various metrics such as Net Profit, Max Drawdown, Win Rate, Profit Factor, etc. Optimize Parameters: You can adjust the lookback, stopLossPct, and takeProfitPct parameters in the script to optimize the strategy for better profitability. You can use TradingView's built-in strategy optimization tools to backtest different combinations. Interpret Results: The Profit Factor measures how many dollars you earned for each dollar lost. A value greater than 1 indicates a profitable strategy. The Win Rate indicates how often the strategy wins, while the Net Profit shows how much profit you made over the backtest period. The Max Drawdown helps you understand the worst peak-to-trough loss during the backtest period. Key Strategy Performance Metrics: Net Profit: The total profit or loss generated by the strategy. Profit Factor: The ratio of gross profit to gross loss. A profit factor above 1 indicates profitability. Win Rate: The percentage of winning trades in the backtest. Max Drawdown: The largest peak-to-trough loss, indicating the strategy's risk during a drawdown. Example Adjustments: You can fine-tune the strategy by adjusting parameters, such as: Lookback Period: If the market is more volatile, you might reduce the lookback to identify structure changes more quickly. Stop Loss/Take Profit: The Stop Loss and Take Profit levels can be adjusted based on your risk tolerance and market conditions. Next Steps: If you want to explore further, consider adding more advanced features, like: Volume Analysis: Include volume to confirm the CoC (e.g., high volume on a reversal). Time-of-day Filter: Trade only during certain hours when the market is more volatile. Trend Confirmation: Use higher timeframe trend indicators to filter trades. This enhanced version should give you a better understanding of the profitability and overall effectiveness of a Change of Character strategy based on Smart Money Concepts. Let me know if you'd like further refinements or help with interpreting the results!
Indicateur Pine Script™
par ASURMIND
Ultimate fairas OilTrading oil adalah aktivitas membeli dan menjual minyak mentah untuk mendapatkan keuntungan. Trading oil merupakan salah satu instrumen populer di kalangan trader karena volatilitasnya yang tinggi dan peluang profit yang besar. Kelebihan trading oil Mendapatkan keuntungan ketika harga minyak naik atau turun Tidak perlu menyimpan komoditas fisik Spread rendah dan likuiditas tinggi Sistem transaksi dua arah atau bisa short Sell Margin rendah, sehingga ROI dapat meningkat secara signifikan Diversifikasi portofolio Faktor yang memengaruhi harga minyak Jumlah produksi, Jumlah ekspor, Isu politik, Hambatan produksi. Komoditas minyak mentah yang diperdagangkan Minyak mentah West Texas Intermediate (WTI) atau USOil, Minyak mentah Brent. Broker yang menyediakan trading oil FOREXimf, MIFX, Valbury Asia Futures, MagnetFX. Perhatian penting Trading oil memiliki keuntungan dan risiko yang perlu dipertimbangkan
Stratégie Pine Script™
par Ardan1881
TradFi Fundamentals: Momentum Trading with Macroeconomic DataIntroduction This indicator combines traditional price momentum with key macroeconomic data. By retrieving GDP, inflation, unemployment, and interest rates using security calls, the script automatically adapts to the latest economic data. The goal is to blend technical analysis with fundamental insights to generate a more robust momentum signal. Original Research Paper by Mohit Apte, B. Tech Scholar, Department of Computer Science and Engineering, COEP Technological University, Pune, India Link to paper Explanation Price Momentum Calculation: The indicator computes price momentum as the percentage change in price over a configurable lookback period (default is 50 days). This raw momentum is then normalized using a rolling simple moving average and standard deviation over a defined period (default 200 days) to ensure comparability with the economic indicators. Fetching and Normalizing Economic Data: Instead of manually inputting economic values, the script uses TradingView’s security function to retrieve: GDP from ticker "GDP" Inflation (CPI) from ticker "USCCPI" Unemployment rate from ticker "UNRATE" Interest rates from ticker "USINTR" Each series is normalized over a configurable normalization period (default 200 days) by subtracting its moving average and dividing by its standard deviation. This standardization converts each economic indicator into a z-score for direct integration into the momentum score. Combined Momentum Score: The normalized price momentum and economic indicators are each multiplied by user-defined weights (default: 50% price momentum, 20% GDP, and 10% each for inflation, unemployment, and interest rates). The weighted components are then summed to form a comprehensive momentum score. A horizontal zero line is plotted for reference. Trading Signals: Buy signals are generated when the combined momentum score crosses above zero, and sell signals occur when it crosses below zero. Visual markers are added to the chart to assist with trade timing, and alert conditions are provided for automated notifications. Settings Price Momentum Lookback: Defines the period (in days) used to compute the raw price momentum. Normalization Period for Price Momentum: Sets the window over which the price momentum is normalized. Normalization Period for Economic Data: Sets the window over which each macroeconomic series is normalized. Weights: Adjust the influence of each component (price momentum, GDP, inflation, unemployment, and interest rate) on the overall momentum score. Conclusion This implementation leverages TradingView’s economic data feeds to integrate real-time macroeconomic data into a momentum trading strategy. By normalizing and weighting both technical and economic inputs, the indicator offers traders a more holistic view of market conditions. The enhanced momentum signal provides additional context to traditional momentum analysis, potentially leading to more informed trading decisions and improved risk management. The next script I release will be an improved version of this that I have added my own flavor to, improving the signals.
Indicateur Pine Script™
par theheirophant
Average Directional Index with level 20The ADX (Average Directional Index) is a technical indicator used to measure the strength of a trend. It helps traders determine whether a market is trending or ranging. How ADX Works: Values Above 20-25 → Indicates a trending market. Values Below 20 → Suggests a weak or sideways market. Higher ADX Values → Stronger trend, whether bullish or bearish. Does Not Indicate Direction → ADX only measures trend strength, not whether it's up or down.
Indicateur Pine Script™
par okysil76