Quantitative Breakout Bands (AIBitcoinTrend)Quantitative Breakout Bands (AIBitcoinTrend) is an advanced indicator designed to adapt to dynamic market conditions by utilizing a Kalman filter for real-time data analysis and trend detection. This innovative tool empowers traders to identify price breakouts, evaluate trends, and refine their trading strategies with precision.
👽 What Are Quantitative Breakout Bands, and Why Are They Unique?
Quantitative Breakout Bands combine advanced filtering techniques (Kalman Filters) with statistical measures such as mean absolute error (MAE) to create adaptive price bands. These bands adjust to market conditions dynamically, providing insights into volatility, trend strength, and breakout opportunities.
What sets this indicator apart is its ability to incorporate both position (price) and velocity (rate of price change) into its calculations, making it highly responsive yet smooth. This dual consideration ensures traders get reliable signals without excessive lag or noise.
👽 The Math Behind the Indicator
👾 Kalman Filter Estimation:
At the core of the indicator is the Kalman Filter, a recursive algorithm used to predict the next state of a system based on past observations. It incorporates two primary elements:
State Prediction: The indicator predicts future price (position) and velocity based on previous values.
Error Covariance Adjustment: The process and measurement noise parameters refine the prediction's accuracy by balancing smoothness and responsiveness.
👾 Breakout Bands Calculation:
The breakout bands are derived from the mean absolute error (MAE) of price deviations relative to the filtered trendline:
float upperBand = kalmanPrice + bandMultiplier * mae
float lowerBand = kalmanPrice - bandMultiplier * mae
The multiplier allows traders to adjust the sensitivity of the bands to market volatility.
👾 Slope-Based Trend Detection:
A weighted slope calculation measures the gradient of the filtered price over a configurable window. This slope determines whether the market is trending bullish, bearish, or neutral.
👾 Trailing Stop Mechanism:
The trailing stop employs the Average True Range (ATR) to calculate dynamic stop levels. This ensures positions are protected during volatile moves while minimizing premature exits.
👽 How It Adapts to Price Movements
Dynamic Noise Calibration: By adjusting process and measurement noise inputs, the indicator balances smoothness (to reduce noise) with responsiveness (to adapt to sharp price changes).
Trend Responsiveness: The Kalman Filter ensures that trend changes are quickly identified, while the slope calculation adds confirmation.
Volatility Sensitivity: The MAE-based bands expand and contract in response to changes in market volatility, making them ideal for breakout detection.
👽 How Traders Can Use the Indicator
👾 Breakout Detection:
Bullish Breakouts: When the price moves above the upper band, it signals a potential upward breakout.
Bearish Breakouts: When the price moves below the lower band, it signals a potential downward breakout.
The trailing stop feature offers a dynamic way to lock in profits or minimize losses during trending moves.
👾 Trend Confirmation:
The color-coded Kalman line and slope provide visual cues:
Bullish Trend: Positive slope, green line.
Bearish Trend: Negative slope, red line.
👽 Why It’s Useful for Traders
Dynamic and Adaptive: The indicator adjusts to changing market conditions, ensuring relevance across timeframes and asset classes.
Noise Reduction: The Kalman Filter smooths price data, eliminating false signals caused by short-term noise.
Comprehensive Insights: By combining breakout detection, trend analysis, and risk management, it offers a holistic trading tool.
👽 Indicator Settings
Process Noise (Position & Velocity): Adjusts filter responsiveness to price changes.
Measurement Noise: Defines expected price noise for smoother trend detection.
Slope Window: Configures the lookback for slope calculation.
Lookback Period for MAE: Defines the sensitivity of the bands to volatility.
Band Multiplier: Controls the band width.
ATR Multiplier: Adjusts the sensitivity of the trailing stop.
Line Width: Customizes the appearance of the trailing stop line.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Bands and Channels
Half-Trend Channel [BigBeluga]Half Trend Channel is a powerful trend-following indicator designed to identify trend direction, fakeouts, and potential reversal points. The combination of upper/lower bands, midline coloring, and specific signals makes it ideal for spotting trend continuation and market reversals.
The base of the channel is calculated using smoothed half-trend logic.
// Initialize half trend on the first bar
if barstate.isfirst
hl_t := close
// Update half trend value based on conditions
switch
closeMA < hl_t and highestHigh < hl_t => hl_t := highestHigh
closeMA > hl_t and lowestLow > hl_t => hl_t := lowestLow
=> hl_t := hl_t
// Smooth
float s_hlt = ta.hma(hl_t, len)
🔵 Key Features:
Upper and Lower Bands:
The bands adapt dynamically to market volatility.
Price movements toward the bands help identify areas of overextension and potential reversal points.
Midline Trend Signal:
The midline changes color to reflect the current trend:
Green Midline: Indicates an uptrend.
Purple Midline: Signals a downtrend.
Fakeout Signals ("X"):
"X" markers appear when price briefly breaches the outer bands but fails to sustain the move.
Fakeouts help traders identify areas where price momentum weakens.
Reversal Signals (Triangles):
Triangles (▲ and ▼) mark potential tops and bottoms:
▲ Up Triangles: Suggest a potential bottom and a reversal to the upside.
▼ Down Triangles: Indicate a potential top and a reversal to the downside.
Dynamic Trend Labels:
At the last bar, the indicator displays labels like "Trend Up" or "Trend Dn" , reflecting the current trend direction.
🔵 Usage:
Use the colored midline to determine the overall trend direction.
Monitor "X" fakeout signals to spot failed breakouts or momentum exhaustion near the bands.
Watch for reversal triangles (▲ and ▼) to identify potential trend reversals at tops or bottoms.
Combine the bands and midline signals to confirm trade entries and exits:
Enter long trades when price bounces off the lower band with a green midline.
Consider short trades when price reverses from the upper band with a purple midline.
Use the trend label (e.g., "Trend Up" or "Trend Dn") for quick confirmation of the current market state.
The Half Trend Channel is an essential tool for traders who want to follow trends, avoid fakeouts, and identify reliable tops and bottoms to optimize their trading decisions.
Bullish/Bearish Indicator [ilkaykaratepe]Bullish/Bearish Reversal Bars Indicator with Support/Resistance
Hardik Raja - SmartAIMLSmartAIML indicator by Hardik Raja that generates buy & sell signals with a dual confirmation strategy.
Information for Educational Purposes Only:
All information provided by the indicator, including buy & sell signals, is intended for educational purposes only and does not constitute financial advice.
MultiTool Indicator SuiteDescrizione Generale
Il MultiTool Indicator Suite è un indicatore completo e versatile pensato per i trader che vogliono integrare più strumenti di analisi tecnica in un'unica soluzione. Questo indicatore è progettato per migliorare la lettura dei mercati finanziari attraverso la combinazione di diverse metriche classiche e avanzate. Grazie alla sua struttura modulare e personalizzabile, il MultiTool Indicator Suite si adatta a ogni stile di trading, che tu sia un day trader, uno swing trader o un analista a lungo termine.
Componenti dell'Indicatore
Medie Mobili Semplici (SMA)
Configurazione personalizzabile: possibilità di scegliere il periodo per ogni media mobile.
Visualizzazione fino a 5 SMA simultanee: ideale per identificare trend, inversioni e punti di ingresso/uscita.
Colori dinamici: ogni SMA può avere un colore specifico per facilitare l'identificazione visiva.
Bande di Bollinger
Fino a 3 set personalizzabili: ogni set può avere un diverso periodo e deviazione standard.
Aree dinamiche: zone di ipercomprato e ipervenduto evidenziate automaticamente.
Supporto visivo migliorato : linee chiare e possibilità di regolare l'opacità per una migliore integrazione nel grafico.
Williams Fractals
Identificazione automatica dei punti di inversione: segnali visivi direttamente sul grafico.
Opzioni di personalizzazione: possibilità di scegliere la dimensione dei fractals e i colori delle frecce.
Supporto multi-timeframe: funziona sia su timeframe brevi che lunghi per una lettura completa.
Identificatore di Fair Value Gaps (FVG)
Rilevamento automatico: l'indicatore identifica le aree di gap tra candele, spesso utilizzate come livelli di supporto/resistenza o zone di potenziale ritracciamento.
Colorazione personalizzabile: ogni gap può essere evidenziato con un colore specifico.
Opzioni di filtro avanzate: possibilità di impostare criteri di rilevamento basati sulla volatilità o sulla dimensione delle candele.
Watermark Personalizzabile
Personalizzazione del testo: aggiungi il nome del tuo account, un messaggio motivazionale o altre informazioni.
Opzioni di stile: cambia dimensione, colore, opacità e posizione del watermark per integrarlo nel grafico senza ostruire la visuale.
Supporto multilingua: scrivi il testo in qualsiasi lingua per rendere il watermark unico e rilevante per il tuo pubblico.
Caratteristiche Aggiuntive
Compatibilità multi-timeframe: l'indicatore funziona su tutti i timeframe di TradingView, dal minuto al mensile.
Interfaccia intuitiva: tutte le impostazioni sono facilmente modificabili attraverso un pannello interattivo.
Ottimizzazione delle performance: l'indicatore è stato scritto per garantire un basso impatto sulle risorse, offrendo fluidità anche su grafici complessi.
Segnali visivi chiari : ogni componente è progettato per offrire un feedback visivo chiaro e immediato.
Esempi di Utilizzo
Trend Following : utilizza le SMA e le Bande di Bollinger per identificare trend di lungo termine e oscillazioni di breve periodo.
Zone di Interesse: sfrutta i FVG per individuare aree in cui il prezzo potrebbe tornare.
Conferma dei Movimenti: usa i Williams Fractals per confermare potenziali inversioni o continuazioni del trend.
Perché Scegliere il MultiTool Indicator Suite
Questo indicatore rappresenta una soluzione all-in-one per i trader che cercano efficienza e flessibilità. Con il MultiTool Indicator Suite, non è necessario utilizzare più indicatori separati: tutto ciò di cui hai bisogno è integrato in un unico strumento potente e facilmente configurabile.
DCA_Swing Strategy_YARІнструкція з використання DCA-Based Swing Strategy
Таймфрейм: Рекомендовано 4H або 1D.
Сигнали:
"BUY" – зелена мітка під свічкою (вхід при RSI < 30).
"SELL" – червона мітка над свічкою (тейк-профіт 3 ATR).
Лінії на графіку:
Синя – середня ціна входу.
Зелена пунктирна – тейк-профіт.
Ліміти:
До 4 покупок (Max Entries).
Загальний ризик – $200.
APE1 - Smart Money Concepts con EMAsEMAs and Smart money concepts of LuxAlgo. The best option for trading in all time frame all in one.
$TRUMPT 多空策略分享【$TRUMP多空策略分享】
这是一个结合趋势跟随和波段交易的策略，通过多重技术指标确认入场，配合动态仓位管理和灵活止盈机制。
策略核心逻辑：
入场信号
多头：快速EMA上穿慢速EMA + MACD金叉 + RSI<70
空头：快速EMA下穿慢速EMA + MACD死叉 + RSI>30
风险管理
止损：5%
第一止盈：8%
第二止盈：12%
杠杆：3倍
仓位管理
基于ATR动态调整仓位大小
单笔最大风险控制在5%
最大仓位不超过40%账户权益
回测数据：
净利润：145.37 USDT (14.56%)
交易次数：164次
胜率：39.02%
盈亏比：1.468
最大回撤：84.43 USDT (6.90%)
平均每笔：0.89 USDT
策略特点：
多重指标过滤，提高交易质量
分批止盈，动态调整目标位
完善的风控体系，确保长期稳定
适合波动性较大的币种
注意：回测表现不代表未来收益，请理性对待，严格执行风控。
Donchian Cloud-V1The Donchian Cloud-V1 is a technical analysis indicator inspired by the Ichimoku Cloud, but with a twist. It utilizes two Donchian Channel midline calculations to create a cloud-like price zone. This indicator aims to help traders identify potential areas of support and resistance, and also suggests that trades should be avoided when prices are within the cloud.
How it Works?
The Donchian Cloud-V1 calculates two Donchian Channel midlines:
Fast Donchian Channel: This midline is based on a shorter period, making it more responsive to price changes.
Slow Donchian Channel: This midline is based on a longer period, providing a smoother and more stable cloud formation.
The upper and lower bands of the traditional Donchian Channels are discarded, and the midlines become the cloud's upper and lower boundaries.
Interpretation
Price Above the Cloud: A price move above the cloud can be interpreted as a bullish signal, suggesting potential upward momentum.
Price Below the Cloud: A price move below the cloud can be interpreted as a bearish signal, suggesting potential downward momentum.
Price Within the Cloud: The indicator advises against taking any trades when the price is within the cloud itself, as the market may be unclear or ranging.
Benefits of Using the Donchian Cloud-V1
Visually Appealing: The cloud can provide a clear and concise view of potential support and resistance zones.
Customizable: The lengths of the fast and slow Donchian Channels can be adjusted to suit your trading style and preferred timeframe.
Complements Other Indicators: The Donchian Cloud-V1 can be used in conjunction with other technical indicators to strengthen trade signals.
Limitations to Consider
Lagging Indicator: Like many technical indicators, the Donchian Cloud-V1 is based on past price data and may not always perfectly predict future price movements.
False Signals: The cloud can generate false signals, especially in volatile markets.
Not a Standalone Strategy: The Donchian Cloud-V1 should ideally be used alongside other trading strategies and risk management techniques.
The Donchian Cloud-V1 is a valuable tool for traders who want to identify potential support and resistance zones and avoid making trades during periods of market uncertainty. Remember, it's important to backtest and paper trade any indicator before using it with real capital.
VWAP Bands Naya//@version=5
indicator("VWAP Bands", overlay=true)
// Inputs
deviation = input.float(1.0, "Deviation %", step=0.1) / 100
// VWAP Calculation
vwap = ta.vwap(close)
// Calculate Bands
upperBand = vwap * (1 + deviation)
lowerBand = vwap * (1 - deviation)
// Plot VWAP and Bands
plot(vwap, color=color.blue, linewidth=2, title="VWAP")
plot(upperBand, color=color.green, linewidth=1, title="Upper Band")
plot(lowerBand, color=color.red, linewidth=1, title="Lower Band")
// Background Color for Trend
bgcolor(close > vwap ? color.new(color.green, 90) : color.new(color.red, 90))
Auto Fibonacci Retracement by YilmazerBelirtilen bar sayısı ve fibonacci değerlerine göre fibonacci düzeltme seviyelerini grafik üzerinde çizer. Eğer grafikte belirtilenden daha az bar var ise bu durumda grafikte yer alan max bar sayısını dikkate alarak çizim yapar.
Draws Fibonacci retracement levels on the chart based on the specified number of bars and Fibonacci values. If the chart has fewer bars than specified, it uses the maximum number of bars available on the chart for drawing.
Long/Short - Juju & JojôFuncionalidades:
Sinais de Compra ("Long"): Gerados quando o RSI suavizado cruza acima da banda dinâmica de suporte.
Sinais de Venda ("Short"): Gerados quando o RSI suavizado cruza abaixo da banda dinâmica de resistência.
Alertas Integrados: Notificações automáticas ao identificar sinais de compra ou venda.
Personalização: Parâmetros ajustáveis para o RSI, suavização, sensibilidade do QQE e limiar de volatilidade.
BB + Stochastic Oscillator + ATR / Owl of ProfitBollinger Bands + Stochastic Oscillator + ATR Strategy
This strategy combines Bollinger Bands, the Stochastic Oscillator, and Average True Range (ATR) for trading opportunities based on volatility, momentum, and trend confirmation.
Features
Bollinger Bands:
Calculates dynamic upper and lower bands around a moving average.
Identifies overbought and oversold price levels.
Stochastic Oscillator:
Detects momentum shifts in overbought (>80) and oversold (<20) regions.
%K and %D crossings confirm entry points.
ATR Integration:
Measures market volatility.
Confirms signals by requiring ATR to exceed a threshold for valid trades.
Strategy Logic
Buy Condition:
Price closes below the lower Bollinger Band, signaling oversold conditions.
Stochastic %K crosses above %D in the oversold region (<20).
ATR is above the calculated ATR threshold, confirming sufficient volatility.
Sell Condition:
Price closes above the upper Bollinger Band, signaling overbought conditions.
Stochastic %K crosses below %D in the overbought region (>80).
ATR is above the calculated ATR threshold.
Exit Strategy:
Uses ATR-based Stop Loss and Take Profit levels for dynamic risk management.
Visualization
Bollinger Bands: Blue basis, red upper band, green lower band, and light blue fill.
Stochastic Oscillator: Purple %K, orange %D, with overbought (80) and oversold (20) levels.
ATR: Visualized with a blue line and a gray ATR threshold for better analysis of market conditions.
Customization
Bollinger Bands:
Default Length: 20
Default Multiplier: 2.0
Stochastic Oscillator:
%K Length: 14
%D Smoothing: 3
ATR:
Default Length: 14
Default Multiplier: 1.5
Stop Loss and Take Profit:
Based on ATR for dynamic trade exits.
This strategy is ideal for traders looking to capitalize on volatility and momentum signals, with added confirmation from ATR to filter out low-volatility environments.
Visit my website for more tools and strategies: bybitindicators.com
Happy Trading! 😊
Yash Zones Strategy v6Modern strategy declaration syntax
Proper commission settings
barmerge.gaps_off for security calls
Color management with color.new()
Null-coalescing operator (?:) removed in favor of ternary
Cleaner position sizing calculation
Improved visual plotting syntax
Full TypeScript-style type safety
Enhanced error handling for edge cases
Strategy Features:
Complete backtesting capability
Real-time trading alerts
Automatic position sizing
Trailing stop functionality
Multi-timeframe confirmation
Volume liquidity filters
Professional risk management parameters
Clear visual signal markers
This version includes all the latest Pine Script v6 features while maintaining the original Yash logic with enhanced reliability and performance.
WaveTrend Ignacio indicador de compra y venta simple, para mediano a largo plazo, con sobre compra y sobre venta como factor de explicacion
RSI BB Backtest StrategyRSI BB Backtest strategy. It is in initial phase. A lot of changes will be made in due course.
Jakes Main IndicatorKey Updates:
Support and Resistance Calculation:
We're using request.security() to fetch the previous day's low and previous day's high from the daily timeframe and plotting them as static support and resistance levels. These levels won't update on lower timeframes.
daily_support is the previous day's low, and daily_resistance is the previous day's high.
Plotting Static Lines:
We plot these static support and resistance levels using plot(), which will appear as green (support) and red (resistance) lines on the chart.
How It Works:
Support and resistance will be static, calculated only once on the daily timeframe, and then stay constant even as you zoom into lower timeframes.
The EMA cloud and buy/sell signals are based on your existing logic and work as intended, but now you have static support and resistance lines that won’t change over time.
The buy and sell signals will still depend on the EMA crossovers and volatility, but now you have a reliable frame of reference for support and resistance on your chart.
You can now adjust the support/resistance calculation method as needed, or tweak the visualization settings.
SevenStar ConfluenceIntroducing HeptaConfluence, an all-in-one multi-indicator overlay that combines seven of the most commonly used technical tools into a single confluence system.
By uniting VWAP, RSI, MACD, Bollinger Bands, Stochastic, Ichimoku Cloud, and Parabolic SAR, HeptaConfluence identifies potential bullish or bearish setups based on a user-defined threshold of matching signals. This approach helps traders quickly gauge market sentiment and momentum from multiple angles, reducing noise and providing clear Buy/Sell signals.
Simply add it to your chart, adjust the parameters to suit your style, and let HeptaConfluence guide your decision-making with greater confidence.
Keltner Channel + RSI / Owl of ProfitKeltner Channel + RSI Strategy
This strategy combines the Keltner Channel and RSI indicators to identify trading opportunities based on price levels and momentum.
Features
Keltner Channel
Calculated using EMA and ATR.
Upper and lower bounds provide a dynamic range for price action.
Default parameters:
EMA Period: 20
ATR Period: 10
ATR Multiplier: 1.5
RSI (Relative Strength Index)
Identifies overbought and oversold conditions.
Default parameters:
RSI Period: 14
Overbought Level: 70
Oversold Level: 30
Strategy Conditions
Long Entry
Price crosses above the lower Keltner Channel.
RSI is below the oversold level.
Short Entry
Price crosses below the upper Keltner Channel.
RSI is above the overbought level.
Exit Logic
Close Long
Price crosses below the EMA.
RSI rises above 50.
Close Short
Price crosses above the EMA.
RSI falls below 50.
Visualization
Keltner Channel:
Upper and lower bounds plotted with transparent fill for better clarity.
EMA line for midpoint reference.
RSI:
Plots RSI with dotted horizontal lines for overbought and oversold levels.
Signal Markers:
Buy (green) and Sell (red) labels plotted for entry signals.
This strategy is ideal for traders who want to combine price action with momentum-based signals to capture dynamic market moves.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
