Gaussian Channel Strategy v3.0 - CAFGaussian channel strategy using stochastic RSI to mark buy and sell
רצועות וערוצים
BTC/USD Gaussian Channel 1 Day Chart - Foneysmiles v1.0 Cryptocurrency trading strategy specifically designed for BTC/USD on a daily timeframe.
Strategy Framework:
Initial capital: $10,000
Position size: 60% of equity per trade
Commission: 0.1%
Slippage: 4 points
Time range: From January 2018 to end of 2069 (effectively no end date)
Gaussian Channel: The primary technical indicator that creates an adaptive channel around price
Uses a complex Gaussian filter with customizable poles (default 4)
Sampling period of 144 days
True Range multiplier of 1.414
Options for reduced lag and fast response modes
Price source defaults to HLC3 (High + Low + Close / 3)
Stochastic RSI with:
RSI length: 21 periods
Stochastic length: 200 periods
K smoothing: 1 period
D smoothing: 4 periods
Entry Conditions:
A long position is entered when ALL of these conditions are met:
The Gaussian filter is trending up (finalFilter > finalFilter )
Price is above the upper Gaussian channel band (close > hband)
Stochastic RSI is in extreme territory (k > 80 or k < 20)
Within the specified date range
Exit Conditions:
Positions are closed when price crosses below the upper band of the Gaussian channel
The visualization includes:
A color-coded Gaussian filter line (green when rising, red when falling)
Upper and lower bands forming a channel
The channel is filled with a semi-transparent version of the same color
This is a trend-following strategy that aims to catch strong upward moves in Bitcoin while using the Stochastic RSI as an additional filter. The strategy only takes long positions and doesn't include any short trades.
foneysmiles@gmail.com if you have any questions or have other use cases
MI-Advanced Long/Short StrategyAdvanced Multi-Indicator Trading Strategy
Combining Trend Following, Momentum Confirmation & Risk Management
This sophisticated trading strategy is designed to identify high-probability long/short opportunities using a confluence of technical indicators while maintaining strict risk control. It combines trend analysis, momentum confirmation, and volume-based validation to generate clear buy/sell signals across various markets and timeframes.
Core Components
Trend Identification Engine
Dual EMA System (12/26 periods):
Bullish bias when 12-EMA > 26-EMA
Bearish bias when 12-EMA < 26-EMA
Supertrend Indicator:
Dynamic trend filter using price volatility
Green line = Bullish trend (longs enabled)
Red line = Bearish trend (shorts enabled)
Momentum Confirmation
MACD Histogram:
Bullish crossover (signal line cross) for entries
Bearish crossover for exits/reversals
RSI Threshold:
50-level as momentum baseline
Longs only when RSI > 50
Shorts only when RSI < 50
Volume Validation
20-period volume moving average
Entry requires 150%+ volume spike
Filters low-confidence moves
Risk Management Framework
ATR-Based Stops:
2x ATR (14-period) stop loss
3x ATR take profit (1:1.5 RR ratio)
Position Sizing:
Percentage-based equity management
Built-in commission calculation
Signal Generation Logic
Long Entry Conditions (All Must Be True):
12-EMA crosses above 26-EMA
MACD line crosses above signal line
RSI sustains above 50 level
Price above Supertrend line (green)
Volume spike confirmation
Short Entry Conditions (All Must Be True):
12-EMA crosses below 26-EMA
MACD line crosses below signal line
RSI holds below 50 level
Price below Supertrend line (red)
Volume spike confirmation
Exit Conditions:
Trailing stop via Supertrend reversal
EMA crossover in opposite direction
RSI crossing 50 threshold
Automatic profit targets/stops
Key Features
Multi-Timeframe Compatibility: Works on 1M-1D charts
Visual Clarity:
Colored EMA ribbons for trend direction
Label-based buy/sell markers
Supertrend overlay for real-time guidance
Alert System:
Built-in buy/sell alert conditions
Compatible with email/SMS notifications
Adaptive Risk:
Dynamic stop-loss adjustment
Position sizing relative to account equity
False Signal Filter:
Volume spike requirement
Triple confirmation (trend+momentum+volume)
Strategic Advantages
Trend-Riding Capability:
Captures sustained moves via Supertrend/EMA combo
Avoids choppy markets through volume filters
Confirmation Hierarchy:
Primary Trend: EMA crossover
Secondary Confirmation: MACD/RSI
Tertiary Validation: Volume/Supertrend
Risk-Controlled Execution:
Automatic stop-loss placement
Fixed risk/reward ratio enforcement
Commission-aware backtesting
Visual Trading Psychology:
Clear color-coded indicators reduce emotional trading
Objective entry/exit rules eliminate guesswork
Ideal Market Conditions
Best Performing: Trending markets (up/down)
Avoid During:
Low-volume periods
Consolidation/ranging markets
Major news events
Practical Usage Tips
Combine with higher timeframe analysis
Adjust ATR multiplier for volatile assets
Modify volume threshold for liquid markets
Use trailing stops for extended trends
Pair with fundamental catalysts for swing trades
This strategy provides a systematic approach to trading by combining technical analysis with disciplined risk management. Its multi-layered confirmation process aims to filter out market noise while capturing high-quality setups, making it suitable for both discretionary traders and automated trading systems.
Donchian Breakout StrategyOverview
The Donchian Breakout Strategy is a trend-following system that identifies potential long trade opportunities based on price breakouts from a specified range (Donchian Channel). This script enhances the traditional Donchian breakout strategy by adding an optional volume filter and integrating the Supertrend indicator for additional confirmation.
This indicator is particularly effective on daily or weekly charts of indices like Nifty and BankNifty, but it can also be used on other instruments with strong trending characteristics.
Key Features
Donchian Channel:
Calculates the highest high and lowest low over a user-defined period.
Provides visual cues for price breakouts (upper band) and breakdowns (lower band).
Optional Volume Filter:
Filters buy signals by requiring volume to exceed its 20-period moving average (enabled/disabled via a toggle).
Supertrend Indicator:
Confirms the trend direction.
Plots a green line for bullish trends and a red line for bearish trends.
Configurable Exit Options:
Multiple exit strategies, including lower Donchian band, mid-band (basis line), or Supertrend.
Trailing stop-loss option to lock in profits.
Backtest Date Range:
Specify the start and end dates for backtesting the strategy.
Inputs and Settings
1. Donchian Channel
Length: The number of bars used to calculate the highest high and lowest low (default: 21).
2. Volume Filter
Enable Volume Filter: Toggles the volume filter on or off. When enabled, long entries require the volume to exceed its 20-period moving average.
3. Supertrend
Multiplier: Adjusts the sensitivity of the Supertrend indicator (default: 1).
Length: Defines the period for the Supertrend calculation (default: 10).
4. Exit Options
Exit Option:
Option 1: Exit when the price crosses below the lower Donchian band.
Option 2: Exit when the price crosses below the mid-band (basis line).
Option 3: Exit when the price crosses below the Supertrend line.
Option 4: Use a trailing stop-loss (default percentage: 3%).
5. Backtesting Range
Start/End Date: Define the period for backtesting trades. Entries and exits will only occur within this range.
How to Use
Step 1: Add the Indicator
Apply this script to your TradingView chart.
Use it on instruments with strong trending characteristics, such as indices or trending stocks.
Step 2: Configure Inputs
Adjust the Donchian length based on your preferred timeframe and market conditions (e.g., 21 for daily, 52 for weekly charts).
Toggle the volume filter to filter false signals during low-volume periods.
Customize the Supertrend multiplier and length to align with your risk tolerance.
Step 3: Interpret Signals
Long Entry:
Triggered when the price closes above the upper Donchian band.
(Optional) Volume must exceed its 20-period moving average if the filter is enabled.
Exit:
Select an exit strategy that matches your trading style:
Trend-following: Use the Supertrend line.
Range-bound: Use the lower Donchian band or mid-band.
Example Usage Scenarios
Trending Markets:
Apply on indices like Nifty or BankNifty with daily/weekly timeframes.
Enable the volume filter to confirm strong breakouts.
Use the Supertrend for trend direction and trailing stops.
Swing Trading:
Use shorter Donchian lengths (e.g., 10) to capture smaller price movements.
Disable the volume filter for highly liquid instruments.
Best Practices
Combine with higher timeframes (e.g., weekly chart) for trend confirmation.
Use the Supertrend indicator to stay in trades during trending markets.
Backtest with various settings to identify optimal parameters for your preferred instruments.
Warnings
This strategy works best in trending markets; performance may degrade in choppy or range-bound conditions.
The volume filter might reduce the number of signals, which could limit opportunities in low-volume instruments.
Always combine this indicator with proper risk management practices.
Visualization
Donchian Channel:
Upper band: Represents breakout levels.
Lower band: Represents breakdown levels.
Mid-band (orange): Average of the upper and lower bands.
Supertrend:
Green line: Bullish trend.
Red line: Bearish trend.
Volume Filter:
Ensure volume exceeds the 20-period moving average for valid long entries (when enabled).
SQZMOM_LB StrategyUtiliza el indicador sqzmom, abriendo operaciones cuando el indicador cambia al color 3 y cerrandolas cuando cambia al color 1
Multi-Indicator Strategy v6highly profitable pinescript strategy with macd, EMA, pivot levels, bollinger bands, rsi, keltner channel or Money flow indicator
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! 😊
Double Screen Backtest Strategy//@version=5
indicator(shorttitle="BB", title="Bollinger Bands", overlay=true, timeframe="", timeframe_gaps=true)
length = input.int(20, minval=1)
maType = input.string("SMA", "Basis MA Type", options = )
src = input(close, title="Source")
mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev")
ma(source, length, _type) =>
switch _type
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
basis = ma(src, length, maType)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
offset = input.int(0, "Offset", minval = -500, maxval = 500)
plot(basis, "Basis", color=#FF6D00, offset = offset)
p1 = plot(upper, "Upper", color=#2962FF, offset = offset)
p2 = plot(lower, "Lower", color=#2962FF, offset = offset)
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))
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.
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!
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.
RSI BB Backtest StrategyRSI BB Backtest strategy. It is in initial phase. A lot of changes will be made in due course.
$TRUMPT 多空策略分享【$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。
Bollinger Bands + RSI + Heikin Ashi Breakout (Naman)Bollinger Bands + RSI + Heikin Ashi Candles (Smooth Breakout Strategy)
Objective:
Filter noise using Heikin Ashi candles to identify clean breakouts.
How It Works:
Bollinger Bands: Indicate breakout direction.
RSI: Confirm momentum (e.g., rising RSI > 50).
Heikin Ashi Candles: Smooth price action for cleaner signals.
Application:
Enter long when Heikin Ashi candles turn green and close above the upper Bollinger Band with RSI > 50.
Exit when Heikin Ashi candles turn red or RSI enters overbought.
Donchian Channels + Volume Strategy / Owl of ProfitDonchian Channels + Volume Strategy
This strategy combines Donchian Channels with Volume analysis to identify potential breakout opportunities and confirm them with volume strength. It is designed to capture trend reversals and breakouts based on price action and volume dynamics.
Features:
Donchian Channels:
Tracks the highest high and lowest low over a customizable period.
Provides dynamic support and resistance levels for breakout identification.
Volume Confirmation:
Uses a Volume SMA to validate breakout signals by ensuring above-average volume.
Entry Conditions:
Long: Triggered when the price crosses above the previous upper Donchian Channel, with volume greater than the average.
Short: Triggered when the price crosses below the previous lower Donchian Channel, with volume greater than the average.
Exit Conditions:
Long Exit: Triggered when the price crosses below the current lower Donchian Channel.
Short Exit: Triggered when the price crosses above the current upper Donchian Channel.
Customization Options:
Adjust the Donchian Channel period for breakout sensitivity.
Modify the Volume SMA period to fine-tune volume confirmation.
Visualization:
Dynamic Donchian Channels plotted with shaded areas for better zone visibility.
Visual markers for entry and exit signals directly on the chart.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
CCI / Owl of ProfitCCI Strategy Example
This strategy uses the Commodity Channel Index (CCI) to identify potential long and short trading opportunities. It features customizable smoothing options and optional Bollinger Bands for added precision.
Features:
CCI Calculation:
CCI is calculated using the source (default: HLC3) with customizable period length.
Plots CCI values along with key levels (+100, -100, and 0) to identify overbought/oversold conditions.
Smoothing Options:
Includes various moving average types: SMA, EMA, SMMA (RMA), WMA, and VWMA.
Optionally applies Bollinger Bands to the smoothed CCI values for dynamic overbought/oversold levels.
Entry Conditions:
Long: Triggered when CCI crosses above -100.
Short: Triggered when CCI crosses above +100.
Customization Options:
Adjust CCI length and source (e.g., close, hlc3).
Select MA type and length for smoothing.
Enable Bollinger Bands with customizable standard deviation multiplier.
Visualization:
Clear CCI plot with shaded background for oversold and overbought zones.
Optional smoothed CCI with Bollinger Bands for advanced analysis.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading needs.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Chande Momentum Oscillator + BB / Owl of ProfitChande Momentum Oscillator + Bollinger Bands Strategy
This strategy combines the Chande Momentum Oscillator (CMO) with Bollinger Bands to identify overbought and oversold conditions and generate entry and exit signals based on price action and momentum.
Features:
Bollinger Bands:
Visualize volatility and identify price breakouts using customizable period and standard deviation.
Signals are triggered when the price crosses above or below the Bollinger Bands.
Chande Momentum Oscillator (CMO):
Detects momentum with a customizable length.
Confirms overbought or oversold conditions with upper and lower thresholds.
Entry Conditions:
Long: Price crosses below the lower Bollinger Band, and CMO is below the oversold level.
Short: Price crosses above the upper Bollinger Band, and CMO is above the overbought level.
Exit Conditions:
Long Exit: Price crosses above the Bollinger Basis or CMO enters overbought.
Short Exit: Price crosses below the Bollinger Basis or CMO enters oversold.
Customization Options:
Adjust Bollinger Bands length and standard deviation for sensitivity.
Modify CMO length and thresholds to refine momentum detection.
Visualization:
Bollinger Bands are shaded for clear identification of overbought and oversold zones.
CMO and its thresholds are plotted for easy reference.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
