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Trend Filter (2-pole) [BigBeluga]Trend Filter (2-pole) The Trend Filter (2-pole) is an advanced trend-following indicator based on a two-pole filter, which smooths out market noise while effectively highlighting trends and their strength. It incorporates color gradients and support/resistance dots to enhance trend visualization and decision-making for traders. SP500: 🔵What is a Two-Pole Filter? A two-pole filter is a digital signal processing technique widely used in electronics, control systems, and time series data analysis to smooth data and reduce noise. //@function Two-pole filter //@param src (series float) Source data (e.g., price) //@param length (float) Length of the filter (higher value means smoother output) //@param damping (float) Damping factor for the filter //@returns (series float) Filtered value method two_pole_filter(float src, int length, float damping) => // Calculate filter coefficients float omega = 2.0 * math.pi / length float alpha = damping * omega float beta = math.pow(omega, 2) // Initialize the filter variables var float f1 = na var float f2 = na // Update the filter f1 := nz(f1 ) + alpha * (src - nz(f1 )) f2 := nz(f2 ) + beta * (f1 - nz(f2 )) f2 It operates using two cascaded smoothing stages (poles), allowing for a more refined and responsive output compared to simple moving averages or other basic filters. Two-pole filters are particularly valued for their ability to maintain smooth transitions while reducing lag, making them ideal for applications where precision and responsiveness are critical. In trading, this filter helps detect trends by smoothing price data while preserving significant directional changes. 🔵Key Features of the Indicator: Gradient-Colored Trend Filter Line: The main filter line dynamically changes color based on trend strength and direction: - Green: Strong uptrend. - Red: Strong downtrend. - Yellow: Indicates a transition phase, signaling potential trend shifts. Support and Resistance Dots with Signals: - Dots are plotted below the filter line during uptrends and above it during downtrends. - These dots represent consecutive rising or falling conditions of the filter line, which traders can set in the settings (e.g., the number of consecutive rises or falls required). - The dots often act as dynamic support or resistance levels, providing valuable guidance during trends. - Trend Signals: Customizable Sensitivity: The indicator allows traders to adjust the filter length, damping factor, and the threshold for rising/falling conditions, enabling it to adapt to different trading styles and timeframes. Bar Color Option: The indicator can optionally color bars to match the gradient of the filter line, enhancing visual clarity of trends directly on the price chart. 🔵How It Works: The Trend Filter (2-pole) smooths price data using a two-pole filter, which reduces noise and highlights the underlying trend. The gradient coloring of the filter line helps traders visually assess the strength and direction of trends. Rising and falling conditions of the filter line are tracked, and dots are plotted when consecutive conditions meet the threshold, acting as potential support or resistance levels during trends. The yellow transition color signals periods of indecision, helping traders anticipate potential reversals or consolidations. 🔵Use Cases: Identify and follow strong uptrends and downtrends with gradient-based visual cues. Use the yellow transition color to anticipate trend shifts or consolidation zones. Leverage the plotted dots as dynamic support and resistance levels to refine entry and exit strategies. Combine with other indicators for confirmation of trends and reversals. This indicator is perfect for traders who want a visually intuitive and highly customizable tool to spot trends, gauge their strength, and make informed trading decisions.
Wskaźnik Pine Script™
od BigBeluga
11
buy sel StrategyGöstergenin Amacı Bu gösterge: Alım ve satım sinyalleri üretmek için MACD ve Bollinger Bantları kombinasyonunu kullanır. Sinyalleri grafik üzerinde göstermek için oklar (yukarı ve aşağı) çizer. Önemli sinyal durumlarında kullanıcıyı uyarmak için uyarı mekanizması içerir. 2. Kullanılan Teknik Göstergeler A) MACD (Moving Average Convergence Divergence) MACD, iki üstel hareketli ortalama arasındaki farkı ölçer: Hızlı MACD Periyodu: Kısa dönem EMA (varsayılan: 12). Yavaş MACD Periyodu: Uzun dönem EMA (varsayılan: 26). Sinyal MACD Periyodu: MACD hattının yumuşatılmış versiyonu (varsayılan: 9). Koşullar: Alım Sinyali: MACD hattı, sinyal hattını yukarı yönde keser (ta.crossover fonksiyonu). Satım Sinyali: MACD hattı, sinyal hattını aşağı yönde keser (ta.crossunder fonksiyonu). B) Bollinger Bantları Bollinger Bantları, fiyatın oynaklığını (volatilite) ölçmek için kullanılır: Orta Bant: Fiyatın hareketli ortalamasıdır (varsayılan: 20 periyotluk SMA). Üst Bant: Orta banda, standart sapmanın belirli bir katı eklenir (varsayılan: 2.0). Alt Bant: Orta bandan, standart sapmanın belirli bir katı çıkarılır (varsayılan: 2.0). 3. Göstergenin İşlevselliği A) Alım Koşulu (buy_condition): pinescript Kopyala Düzenle buy_condition = ta.crossover(macd_line, signal_line) and close > bb_lower Al sinyali, şu iki şart sağlandığında tetiklenir: MACD hattı, sinyal hattını yukarı yönde keserse (pozitif momentum). Fiyat, Bollinger Bantları'nın alt bandının üzerine çıkarsa (fiyatın potansiyel dipten yukarı dönüşü). B) Satım Koşulu (sell_condition): pinescript Kopyala Düzenle sell_condition = ta.crossunder(macd_line, signal_line) and close < bb_upper Sat sinyali, şu iki şart sağlandığında tetiklenir: MACD hattı, sinyal hattını aşağı yönde keserse (negatif momentum). Fiyat, Bollinger Bantları'nın üst bandının altına düşerse (fiyatın potansiyel zirveden dönüşü). 4. Grafik Üzerindeki Gösterim A) Bollinger Bantları: Üst Bant (kırmızı çizgi). Alt Bant (yeşil çizgi). Orta Bant (turuncu çizgi). B) Alım ve Satım Sinyalleri: Oklar: Yeşil ok (yukarı): Alım sinyali. Kırmızı ok (aşağı): Satım sinyali. C) Plotlama: plotarrow fonksiyonu, yukarı ve aşağı sinyalleri oklarla grafik üzerinde gösterir: pinescript Kopyala Düzenle plotarrow(buy_condition ? 1 : sell_condition ? -1 : na, colorup=color.green, colordown=color.red, offset=-1) 5. Uyarılar Uyarılar, sinyallerle kullanıcıyı bilgilendirir: Alım Sinyali Uyarısı: Mesaj: "MACD ve fiyat, Bollinger Bandı'nın alt sınırının üzerine çıktı." Satım Sinyali Uyarısı: Mesaj: "MACD ve fiyat, Bollinger Bandı'nın üst sınırının altına indi." 6. Kodun Avantajları Kombinasyon Stratejisi: MACD ve Bollinger Bantları’nın birleşimi daha doğruluklu sinyaller üretebilir. Basit ve Görsel: Grafik üzerinde sinyaller net bir şekilde belirtilmiştir. Uyarı Mekanizması: Otomatik olarak işlem yapmak veya uyarı almak isteyen kullanıcılar için uygundur. 7. Dezavantajlar Lag (Gecikme): Hem MACD hem de Bollinger Bantları gecikmeli göstergelerdir, bu da sinyalin gecikmesine neden olabilir. Trend Filtreleme Eksikliği: Yanlış sinyalleri azaltmak için trend yönünü doğrulayan ek bir filtre (ör. EMA 200) faydalı olabilir. 8. Geliştirme Önerileri Trend Filtresi: Yanlış sinyalleri azaltmak için EMA (200) gibi bir trend filtresi eklenebilir. Fazla Sinyallerin Azaltılması: RSI gibi bir gösterge ile daha fazla doğrulama katmanı eklenebilir. Zaman Aralığı Testi: Bu strateji en iyi 15 dakika, 1 saat veya 1 günlük zaman aralıklarında test edilerek optimize edilebilir. Bu kod, daha sofistike stratejiler oluşturmak için güçlü bir başlangıç noktasıdır. Doğru parametre ayarlarıyla etkili bir ticaret aracı haline gelebilir.
Wskaźnik Pine Script™
od alivurun
Mean Reversion Pro Strategy [tradeviZion]Mean Reversion Pro Strategy : User Guide A mean reversion trading strategy for daily timeframe trading. Introduction Mean Reversion Pro Strategy is a technical trading system that operates on the daily timeframe. The strategy uses a dual Simple Moving Average (SMA) system combined with price range analysis to identify potential trading opportunities. It can be used on major indices and other markets with sufficient liquidity. The strategy includes: Trading System Fast SMA for entry/exit points (5, 10, 15, 20 periods) Slow SMA for trend reference (100, 200 periods) Price range analysis (20% threshold) Position management rules Visual Elements Gradient color indicators Three themes (Dark/Light/Custom) ATR-based visuals Signal zones Status Table Current position information Basic performance metrics Strategy parameters Optional messages 📊 Strategy Settings Main Settings Trading Mode Options: Long Only, Short Only, Both Default: Long Only Position Size: 10% of equity Starting Capital: $20,000 Moving Averages Fast SMA: 5, 10, 15, or 20 periods Slow SMA: 100 or 200 periods Default: Fast=5, Slow=100 🎯 Entry and Exit Rules Long Entry Conditions All conditions must be met: Price below Fast SMA Price below 20% of current bar's range Price above Slow SMA No existing position Short Entry Conditions All conditions must be met: Price above Fast SMA Price above 80% of current bar's range Price below Slow SMA No existing position Exit Rules Long Positions Exit when price crosses above Fast SMA No fixed take-profit levels No stop-loss (mean reversion approach) Short Positions Exit when price crosses below Fast SMA No fixed take-profit levels No stop-loss (mean reversion approach) 💼 Risk Management Position Sizing Default: 10% of equity per trade Initial capital: $20,000 Commission: 0.01% Slippage: 2 points Maximum one position at a time Risk Control Use daily timeframe only Avoid trading during major news events Consider market conditions Monitor overall exposure 📊 Performance Dashboard The strategy includes a comprehensive status table displaying: Strategy Parameters Current SMA settings Trading direction Fast/Slow SMA ratio Current Status Active position (Flat/Long/Short) Current price with color coding Position status indicators Performance Metrics Net Profit (USD and %) Win Rate with color grading Profit Factor with thresholds Maximum Drawdown percentage Average Trade value 📱 Alert Settings Entry Alerts Long Entry (Buy Signal) Short Entry (Sell Signal) Exit Alerts Long Exit (Take Profit) Short Exit (Take Profit) Alert Message Format Strategy name Signal type and direction Current price Fast SMA value Slow SMA value 💡 Usage Tips Consider starting with Long Only mode Begin with default settings Keep track of your trades Review results regularly Adjust settings as needed Follow your trading plan ⚠️ Disclaimer This strategy is for educational and informational purposes only. It is not financial advice. Always: Conduct your own research Test thoroughly before live trading Use proper risk management Consider your trading goals Monitor market conditions Never risk more than you can afford to lose 📋 Release Notes 14 January 2025 Added New Fast & Slow SMA Options: Fibonacci-based periods: 8, 13, 21, 144, 233, 377 Additional period: 50 Complete Fast SMA options now: 5, 8, 10, 13, 15, 20, 21, 34, 50 Complete Slow SMA options now: 100, 144, 200, 233, 377 Bug Fixes: Fixed Maximum Drawdown calculation in the performance table Now using strategy.max_drawdown_percent for accurate DD reporting Previous version showed incorrect DD values Performance metrics now accurately reflect trading results Performance Note: Strategy tested with Fast/Slow SMA 13/377 Test conducted with 10% equity risk allocation Daily Timeframe For Beginners - How to Modify SMA Levels: Find this line in the code: fastLength = input.int(title="Fast SMA Length", defval=5, options= ) To add a new Fast SMA period: Add the number to the options list, e.g., To remove a Fast SMA period: Remove the number from the options list For Slow SMA, find: slowLength = input.int(title="Slow SMA Length", defval=100, options= ) Modify the options list the same way ⚠️ Note: Keep the periods that make sense for your trading timeframe 💡 Tip: Test any new combinations thoroughly before live trading "Trade with Discipline, Manage Risk, Stay Consistent" - tradeviZion
Strategia Pine Script™
od TradeVizion
Trendilo ARTrendilo AR is a custom trading indicator designed to identify market trends using advanced techniques such as the Arnaud Legoux Moving Average (ALMA), volume confirmations, and dynamic volatility bands. This indicator provides a clear visualization of trends, including significant changes and custom alerts. Review of Indicators Used 1. ALMA Description: ALMA is a moving average that applies an advanced filter to smooth price data, reducing noise and focusing on actual trends. Usage in the Indicator: Used to calculate the smoothed percentage price change and determine trend direction. Customizable parameters include: - Length: Defines the number of bars to consider. - Offset: Adjusts sensitivity toward recent prices. - Sigma: Controls the degree of smoothing. Advantages: - Reduced lag in trend detection. - Resistance to market noise. 2. ATR Description: ATR measures the market’s average volatility by considering the range between high and low prices over a given period. Usage in the Indicator: ATR is used to calculate "dynamic smoothing", adjusting the indicator’s sensitivity based on current market volatility. Advantages: - Adapts to high or low volatility conditions. - Helps define dynamic support and resistance levels. 3. SMA Description: SMA calculates the average of prices or volume over a specific time period. Usage in the Indicator: Used to calculate the volume moving average (Volume SMA) to confirm whether the current volume supports the detected trend. Advantages: - Easy to understand and calculate. - Provides volume-based trend confirmation. 4. RMS Bands Description: RMS Bands calculate the standard deviation of percentage price changes, creating upper and lower levels that act as overbought and oversold indicators. Usage in the Indicator: - Define the range within which the market is considered neutral. - Crosses above or below the bands indicate trend changes. Advantages: - Visual identification of strong trends. - Helps filter false signals. Colors and Visuals Used in the Indicator 1. ALMA Line Colors: - Green: Indicates a confirmed uptrend (with sufficient volume). - Red: Indicates a confirmed downtrend (with sufficient volume). - Gray: Indicates a neutral phase or insufficient volume to confirm a trend. 2. RMS Bands - Upper and Lower Lines: - Purple (with transparency): These lines represent the RMS bands (upper and lower) and adjust opacity based on trend strength. - Stronger trends result in less transparency (more solid colors). 3. Highlighted Background (Strong Trends) - Color: - Light Green (transparent): Highlights a strong trend when the smoothed percentage change (ALMA) exceeds 1.5 times the RMS. 4. Horizontal Lines - Baseline (0): - Dark Gray: Serves as a central reference to identify the directionality of percentage changes. - Additional Line (0.1): - Blue: A customizable line to mark user-defined key levels. 5. Bar Colors - Bar Colors: - Green: When the price is in a confirmed uptrend. - Red: When the price is in a confirmed downtrend. - No color: When there is insufficient volume or no clear trend. How to Use the Indicator 1. Initial Setup 1. Add the Indicator to Your Chart: Copy the code into the Pine Editor on TradingView and apply it to your chart. 2. Customize Parameters: Adjust values based on your trading strategy: - Smoothing: Controls the level of smoothing for percentage changes. - Lookback Length: Defines the observation period for calculations. - Band Multiplier: Adjusts the width of RMS bands. 2. Signal Interpretation 1. Indicator Colors: - Green: Confirmed uptrend. - Red: Confirmed downtrend. - Gray: No clear trend or insufficient volume. 2. RMS Bands: - If the ALMA line (smoothed percentage change) crosses above the upper RMS band, it signals a potential uptrend. - If it crosses below the lower RMS band, it signals a potential downtrend. 3. Volume Confirmation: - The indicator's color activates only if the current volume exceeds the Volume SMA. 3. Alerts and Decisions 1. Trend Change Alerts: - The indicator automatically triggers alerts when an uptrend or downtrend is detected. - Configure these alerts to receive real-time notifications. 2. Strong Trend Signals: - When the magnitude of the percentage change exceeds 1.5 times the RMS, the chart background highlights the strong trend. 4. Trading Strategies 1. Buy: - Enter long positions when: - The indicator turns green. - Volume confirms the trend. - Consider placing a stop-loss just below the lower RMS band. 2. Sell: - Enter short positions when: - The indicator turns red. - Volume confirms the trend. - Consider placing a stop-loss just above the upper RMS band. 3. Neutral: - Avoid trading when the indicator is gray, as no clear trend or insufficient volume is present. Disclaimer: As this is my first published indicator, please use it with caution. Feedback is highly appreciated to improve its performance. Happy Trading!
Wskaźnik Pine Script™
od galvaroe
[LeonidasCrypto]Volume Force IndexVolume Force Index (VFI) Overview The Volume Force Index (VFI) is a technical indicator that measures the balance between buying and selling pressure in the market by analyzing volume patterns. It helps traders identify potential trend reversals and confirm trend strength. What It Measures Buying vs. selling volume pressure Market momentum Potential overbought/oversold conditions Volume trend strength How to Read the Indicator Main Components: Main Line (Green/Red) Green: Buying pressure is dominant Red: Selling pressure is dominant The steeper the slope, the stronger the pressure Signal Line (Yellow) Fast EMA that helps identify trend changes Acts as an early warning system for potential reversals Dynamic Bands (Red/Green lines) Adapt to market volatility Help identify extreme conditions Based on actual market volatility rather than fixed levels Signals to Watch Trend Direction: Rising oscillator = Increasing buying pressure Falling oscillator = Increasing selling pressure Signal Line Crossovers: Main line crosses above signal line = Potential bullish signal Main line crosses below signal line = Potential bearish signal Band Touches: Touching upper band = Possible buying exhaustion Touching lower band = Possible selling exhaustion Color Changes: Green to Red = Shift to selling pressure Red to Green = Shift to buying pressure Best Practices When to Use: Trend confirmation Identifying potential reversals Volume analysis Market strength assessment Tips: Use in conjunction with price action Look for divergences with price More reliable on higher timeframes Consider market context Default Settings: MA Period: 14 (volume calculation) Smooth Length: 3 (noise reduction) EMA Period: 4 (signal line) Volatility Period: 20 (band calculation) Volatility Multiplier: 1.5 (band width) Best Markets to Apply Any market with reliable volume data Summary The VFI is a powerful tool that combines volume analysis with trend identification. Its adaptive nature makes it suitable for various market conditions, but it should be used as part of a complete trading strategy, not in isolation.
Wskaźnik Pine Script™
od LeonidasCrypto
Mean Reversion Fib-S_D-This strategy is upgrade to Mean Reversion VIB-F -More Fib bans are added and the user can switch from dynamic to static bands -If static bans are selected ones in the position the dynamic bans will plot and will not change until exit of the position -It workings on high volatile stock or crypto assets in this case DOGE 2h time frame -It using 7 dynamic Fibonacci band's to get in the long position. -In same time depends on the band increases the units of the asset to get in the next position. -The unit's of the asset can be adjusted in cash -The bands are determined of main Smoothed SMA. -There is no stop loss. -Take profit is trialing - HMA or % or average price + take profit - note if you use % trailing back test is not realistic but is working on real time. If it is on first position will take profit on the third top Fibonacci's band or the above options Width of the bands and the Fibonacci # can be adjust depends on the asset volatility. Going long is determined by close < first band or crossover SMA Can be use with webhook to send signals to exchanges
Strategia Pine Script™
od fullmax
12
Moving Average with Percentage Bands"Moving Average with Percentage Bands" This indicator features a moving average, defaulted to 55 periods exponential (EMA), along with its respective bands: • Upper band: the result of 50% above the moving average. • Lower band: the result of 50% below the moving average. This indicator can be useful for cryptocurrencies with a certain track record to identify overbought zones or dips. Both the moving average (type and length) and the percentage bands can be edited according to the user's preferences. The source code is open for customization and modification. ---------------------------------------------------------------------------------------------- "Media Móvil con Bandas Porcentuales" Este indicador presenta una media móvil, predeterminada de 55 períodos exponencial (EMA), y sus respectivas bandas: • Banda superior: resultado del 50% por encima de la media móvil. • Banda inferior: resultado del 50% por debajo de la media móvil. Este indicador puede ser útil en criptomonedas con cierta trayectoria para encontrar zonas de sobrecompra o dips. Tanto la media móvil (tipo y longitud) como las bandas porcentuales pueden ser editadas según las necesidades del usuario. El código fuente está abierto para su personalización y modificación.
Wskaźnik Pine Script™
od DieBartDie
BB SIGNALSThe Bollinger Bands with Signals indicator enhances your trading by combining Bollinger Bands with clear buy and sell signals. Customizable Bands: Adjust moving average type, period, and standard deviation multiplier. Buy (B) signals appear when price crosses above the lower band. Sell (S) signals appear when price crosses below the upper band. Bands are shaded for better trend visualization. A simple yet powerful tool for spotting overbought and oversold conditions and identifying potential trade entries and exits.
Wskaźnik Pine Script™
od johnbuther_syri2
Vwap and Super Trend by Trade Partners//@version=5 indicator(title='Vwap and Super Trend by Trade Partners', shorttitle='Suresh', overlay=true) ha_t = syminfo.ticker // Credits goes to Options scalping // === VWAP === _isVWAP = input(true, '─────── Enable VWAP ─────') src = input(title='Source', defval=hlc3) t = time('D') start = na(t ) or t > t sumSrc = src * volume sumVol = volume sumSrc := start ? sumSrc : sumSrc + sumSrc sumVol := start ? sumVol : sumVol + sumVol // You can use built-in vwap() function instead. plot(_isVWAP ? sumSrc / sumVol : na, title='VWAP', color=color.new(color.red, 0), linewidth=2) // === SuperTrend === _isSuperTrend = input(true, '─────── Enable SuperTrend ─────') Factor = input.int(2, minval=1, maxval=100) Pd = input.int(10, minval=1, maxval=100) Up = hl2 - Factor * ta.atr(Pd) Dn = hl2 + Factor * ta.atr(Pd) Trend = 0.0 TrendUp = 0.0 TrendDown = 0.0 TrendUp := close > TrendUp ? math.max(Up, TrendUp ) : Up TrendDown := close < TrendDown ? math.min(Dn, TrendDown ) : Dn Trend := close > TrendDown ? 1 : close < TrendUp ? -1 : nz(Trend , 1) Tsl = Trend == 1 ? TrendUp : TrendDown linecolor = Trend == 1 ? color.green : color.red plot(_isSuperTrend ? Tsl : na, color=linecolor, style=plot.style_line, linewidth=2, title='SuperTrend', transp=1) // === Parabolic SAR === _isPSAR = input(true, '──── Enable Parabolic SAR ─────') start1 = input(0.02) increment = input(0.02) maximum = input(0.2) out = ta.sar(start1, increment, maximum) plot(_isPSAR ? out : na, title='PSAR', style=plot.style_cross, color=color.new(color.black, 0)) // === 20 VWMA === _isVWMA = input(true, '──── Enable 20 VWMA ─────') plot(_isVWMA ? ta.vwma(close, 20) : na, title='VWMA', style=plot.style_line, color=color.new(color.blue, 0)) // === Strong Volume === ShowHighVolume = input(true, '──── Enable High Volume Indicator ─────') Averageval = input.int(title='Average Volume: (in K)', defval=50, minval=1) Averageval *= 1000 varstrong = ShowHighVolume ? volume > Averageval : false plotshape(varstrong, style=shape.square, location=location.bottom, color=color.new(color.blue, 0))
Wskaźnik Pine Script™
od sureshfin9076
mohammadreza alimohammadi//@version=6 indicator(title="Parabolic SAR, Ichimoku Cloud, Fibonacci Bands, Donchian Channels, and MA200", shorttitle="SAR & Ichimoku & Fibonacci & DC & MA200", overlay=true, timeframe="", timeframe_gaps=true) // Inputs for Parabolic SAR start = input(0.02, title="SAR Start") increment = input(0.02, title="SAR Increment") maximum = input(0.2, title="SAR Max Value") sar = ta.sar(start, increment, maximum) plot(sar, title="Parabolic SAR", style=plot.style_cross, color=color.blue) // Inputs for Ichimoku Cloud conversionPeriods = input.int(9, minval=1, title="Conversion Line Length") basePeriods = input.int(26, minval=1, title="Base Line Length") laggingSpan2Periods = input.int(52, minval=1, title="Leading Span B Length") displacement = input.int(26, minval=1, title="Lagging Span") donchian(len) => math.avg(ta.lowest(len), ta.highest(len)) conversionLine = donchian(conversionPeriods) baseLine = donchian(basePeriods) leadLine1 = math.avg(conversionLine, baseLine) leadLine2 = donchian(laggingSpan2Periods) plot(conversionLine, color=#2962FF, title="Conversion Line") plot(baseLine, color=#B71C1C, title="Base Line") plot(close, offset = -displacement + 1, color=#43A047, title="Lagging Span") p1 = plot(leadLine1, offset = displacement - 1, color=#A5D6A7, title="Leading Span A") p2 = plot(leadLine2, offset = displacement - 1, color=#EF9A9A, title="Leading Span B") plot(leadLine1 > leadLine2 ? leadLine1 : leadLine2, offset = displacement - 1, title="Kumo Cloud Upper Line", display=display.none) plot(leadLine1 < leadLine2 ? leadLine1 : leadLine2, offset = displacement - 1, title="Kumo Cloud Lower Line", display=display.none) fill(p1, p2, color=leadLine1 > leadLine2 ? color.rgb(67, 160, 71, 90) : color.rgb(244, 67, 54, 90)) // Inputs for Fibonacci Bands lenSMA = input.int(title="#bars back SMA", defval=50) lenATR = input.int(title="#bars back ATR", defval=14) firstFactor = input.float(title="factor fib. band 1", defval=1.618) secondFactor = input.float(title="factor fib. band 2", defval=2.618) thirdFactor = input.float(title="factor fib. band 3", defval=4.236) vAtr = ta.atr(lenATR) vSma = ta.sma(close, lenSMA) fib1u = vSma + vAtr * firstFactor fib1l = vSma - vAtr * firstFactor fib2u = vSma + vAtr * secondFactor fib2l = vSma - vAtr * secondFactor fib3u = vSma + vAtr * thirdFactor fib3l = vSma - vAtr * thirdFactor plot(fib1u, color=color.white, title="Fib Band 1 Upper") plot(fib1l, color=color.white, title="Fib Band 1 Lower") plot(fib2u, color=color.green, title="Fib Band 2 Upper") plot(fib2l, color=color.red, title="Fib Band 2 Lower") plot(fib3u, color=color.green, title="Fib Band 3 Upper") plot(fib3l, color=color.red, title="Fib Band 3 Lower") // Inputs for Donchian Channels with new settings length = input.int(280, minval=1, title="DC Length") offset = input.int(25, title="DC Offset") lower = ta.lowest(length) upper = ta.highest(length) basis = math.avg(upper, lower) plot(basis, "Basis", color=color.orange, offset=offset) u = plot(upper, "Upper", color=color.blue, offset=offset) l = plot(lower, "Lower", color=color.blue, offset=offset) fill(u, l, color=color.rgb(33, 150, 243, 95), title="Background") // Inputs for MA200 ma200 = ta.sma(close, 200) plot(ma200, color=color.purple, title="MA200")
Wskaźnik Pine Script™
od mohammadrezaali2114
Supertrend + RSI Strategy update//@version=5 strategy("Supertrend + RSI Strategy", overlay=true) // Input Parameters atrLength = input.int(10, title="ATR Length", minval=1) factor = input.float(3.0, title="Supertrend Factor", step=0.1) rsiLength = input.int(14, title="RSI Length", minval=1) rsiOverbought = input.int(70, title="RSI Overbought Level") rsiOversold = input.int(30, title="RSI Oversold Level") // Supertrend Calculation atr = ta.atr(atrLength) upperBand = ta.sma(close, atrLength) + (factor * atr) lowerBand = ta.sma(close, atrLength) - (factor * atr) supertrend = 0.0 supertrend := close > nz(supertrend , close) ? lowerBand : upperBand supertrendSignal = close > supertrend ? "Buy" : "Sell" // RSI Calculation rsi = ta.rsi(close, rsiLength) // Trading Logic longCondition = (supertrendSignal == "Buy") and (rsi > rsiOversold) and ta.crossover(rsi, rsiOversold) shortCondition = (supertrendSignal == "Sell") and (rsi < rsiOverbought) and ta.crossunder(rsi, rsiOverbought) // Entry and Exit Conditions if longCondition strategy.entry("Long", strategy.long) if shortCondition strategy.entry("Short", strategy.short) // Exit Strategy with Stop Loss and Take Profit strategy.exit("Exit Long", from_entry="Long", stop=supertrend, limit=close + 2 * atr) strategy.exit("Exit Short", from_entry="Short", stop=supertrend, limit=close - 2 * atr) // Plot Supertrend plot(supertrend, title="Supertrend", color=color.new(color.blue, 0), linewidth=2, style=plot.style_line) // Plot RSI Levels hline(rsiOverbought, "Overbought", color=color.red) hline(rsiOversold, "Oversold", color=color.green) plot(rsi, title="RSI", color=color.orange, style=plot.style_stepline) // Alerts alertcondition(longCondition, title="Buy Alert", message="Supertrend + RSI Buy Signal") alertcondition(shortCondition, title="Sell Alert", message="Supertrend + RSI Sell Signal")
Strategia Pine Script™
od rakeshydv46
EMA Crossover Strategy//@version=5 strategy("EMA Crossover Strategy", overlay=true) // Define the length of EMAs ema50Length = 50 ema200Length = 200 // Calculate the EMAs ema50 = ta.ema(close, ema50Length) ema200 = ta.ema(close, ema200Length) // Plot the EMAs on the chart plot(ema50, title="50 EMA", color=color.green, linewidth=2) plot(ema200, title="200 EMA", color=color.red, linewidth=2) // Define the crossover condition longCondition = ta.crossover(ema50, ema200) shortCondition = ta.crossunder(ema50, ema200) // Generate alerts alertcondition(longCondition, title="Buy Signal", message="50 EMA is above 200 EMA - Buy") alertcondition(shortCondition, title="Sell Signal", message="50 EMA is below 200 EMA - Sell") // Execute trades based on the conditions if (longCondition) strategy.entry("Buy", strategy.long) if (shortCondition) strategy.close("Buy")
Strategia Pine Script™
od JMMAKWANA