Invest SMA|MACD|ADX Long Weekly Strategy (BtTL)Diese Strategie kombiniert drei bewährte technische Indikatoren (SMA, MACD und ADX) für präzise Long-Einstiege auf dem Wochenchart.
Hauptmerkmale:
Einstiegssignale basieren auf einer Kombination aus SMA (30), MACD (9,18,9) und ADX (14)
Intelligentes Stop-Loss-Management durch Swing-Low-Erkennung
Trendbestätigung durch ADX > 25
Optimiert für Wochencharts
Konservatives Risikomanagement durch mehrfache Signalbestätigung
Einstiegsbedingungen:
Kurs über SMA
MACD über Signallinie und im positiven Bereich
ADX zeigt starken Trend (>25)
Ausstiegsstrategie:
Stop-Loss wird automatisch am vorletzten Swing-Low gesetzt
Position wird geschlossen, wenn der Kurs unter den SMA fällt
🇬🇧 English:
This strategy combines three proven technical indicators (SMA, MACD, and ADX) for precise long entries on the weekly chart.
Key Features:
Entry signals based on a combination of SMA (30), MACD (9,18,9), and ADX (14)
Intelligent stop-loss management through swing low detection
Trend confirmation using ADX > 25
Optimized for weekly charts
Conservative risk management through multiple signal confirmation
Entry Conditions:
Price above SMA
MACD above signal line and in positive territory
ADX showing strong trend (>25)
Exit Strategy:
Stop-loss automatically set at second-last swing low
Position closes when price falls below SMA
Osilatörler
ROBOT RSI V6 inputRobot (test pas complet) qui prends position en se basant sur un croisement des MM et sur les achats et surventes du RSI
MACD RSI Strategy by BiegeThis strategy combines:
• MACD (Lagging Indicator): Confirms trend direction using moving averages.
• RSI (Leading Indicator): Identifies overbought/oversold conditions for potential reversal signals.
Entry Signal: When the MACD confirms a bullish trend (MACD line crosses above the signal line) and the RSI is oversold (below the defined threshold).
Exit Signal: Stop loss, take profit, or a bearish MACD crossover (MACD line crosses below the signal line).
This strategy emphasizes risk management through:
1. Balanced Indicators: Combining a leading and lagging indicator attempts to balance responsiveness and reliability.
2. Position Sizing: Limiting the percentage of capital used per trade controls potential losses on any single trade.
3. Cooldown Period: This helps prevent emotional trading and chasing losses.
4. Stop Loss Orders: Stop losses are crucial for limiting losses if a trade moves against your position.
This strategy is designed to perform best in markets with clear trends and moderate volatility. It's important to be aware of its limitations and avoid using it during:
• Earnings reports or major news events: Fundamental analysis is more appropriate in these situations.
• Extreme bear markets or extended periods of consolidation: MACD can lag significantly during sustained downtrends, and RSI can generate numerous false signals in choppy markets.
• Low-liquidity periods: Low liquidity can lead to slippage and wider spreads, which can negatively impact profitability.
By combining leading (RSI) and lagging (MACD) indicators and emphasizing risk management, this strategy aims to provide a relatively balanced and safer approach to trend following. However, no trading strategy can guarantee profits, and all trading involves risk. It's essential to understand the risks involved and to trade responsibly.
Hybrid Trend Momentum Strategy by Biege ver. 1.0Strategy Profile
Type: Fixed-Parameter Trend Momentum System
Optimized For: 2-Hour Timeframe (Best Performance)
Core Logic:
Uses fixed 21/55/200 EMAs for trend identification
Combines RSI(14) momentum filter with SuperTrend(3,14) stop
Requires 1.5x volume surge + ATR volatility confirmation
===========================================================================
Hourly Profitability Drivers
EMA Precision
21-period EMA (~1 trading day) captures intraday swings
55-period EMA (~2.5 days) filters false hourly breakouts
RSI Stability
14-period RSI aligns with 14-hour cycles in crypto markets
Avoids overreaction to 15-minute noise
SuperTrend Efficiency
3x ATR(14) provides optimal trailing stop for hourly candles
Outperforms static stops in volatile crypto sessions
===========================================================================
Key Strengths
No Parameter Tweaking Needed: Pre-optimized for hourly candles
Trend Persistence Capture: Holds through minor pullbacks
Automatic Risk Control: Built-in cooldown (6h) prevents overtrading
===========================================================================
Critical Limitations
Overnight Gap Risk: Crypto markets move 24/7
News Event Vulnerability: Hourly candles may trap during FOMO spikes
Fixed Exit Rigidity: No manual stop-loss adjustments allowed
===========================================================================
Safety Protocol Notes
Ideal Conditions
Strong trending markets (≥3% daily moves)
High-volume crypto pairs (BTC/ETH majors preferred)
Avoid When
Consolidation phases (EMA crossovers lag)
Low-volume periods (weekends/holidays)
===========================================================================
Profitability Summary
This strategy capitalizes on:
Hourly chart momentum persistence
Crypto's tendency for multi-hour trends
Fixed parameters optimized through volatility cycles
Critical Reminder: Changing any values voids the hourly optimization advantage. Performance degrades significantly on lower (15m/5m) or higher (4h/daily) timeframes due to parameter mismatch
ZigZag + Fractals + SAR / Owl of ProfitZigZag + Fractals + SAR Strategy
This strategy combines ZigZag, Fractals, and Parabolic SAR to provide robust trading signals, ideal for identifying trend reversals and trade entries
Features
ZigZag
Tracks trend changes using defined depth and deviation parameters
Identifies "High" and "Low" pivots for trend movements
Fractals
Captures local highs (Fractal Up) and lows (Fractal Down), serving as potential reversal points
Parabolic SAR
Generates entry and exit signals based on price and SAR crossovers
Strategy Conditions
Long
Price crosses above SAR (SAR shifts below price)
ZigZag indicates an uptrend
A fractal down appears
Short
Price crosses below SAR (SAR shifts above price)
ZigZag indicates a downtrend
A fractal up appears
Exit Logic
Exit Long
SAR crosses above price
Exit Short
SAR crosses below price
Customization
ZigZag Parameters
Depth: 5 candles
Deviation: 5%
Parabolic SAR
Start: 0.02, Max: 0.2, Increment: 0.02
Option to visualize Fractals and SAR on the chart
This strategy is suitable for both short-term and long-term trades, allowing flexible customization for different market conditions
Visit my website for more tools and strategies bybitindicators.com
Happy trading!
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! 😊
Wave Trend Oscillator (LazyBear) / Owl of Profit remakeWave Trend Oscillator Strategy (by LazyBear)
This strategy leverages the powerful WaveTrend Oscillator developed by LazyBear to identify overbought and oversold market conditions, providing dynamic signals for trend-based trading.
Features
WaveTrend Oscillator (WT):
Calculates two smoothed WaveTrend lines (WT1 and WT2) for visualizing momentum.
Uses channel and average lengths to adjust sensitivity.
Overbought/Oversold Levels:
Predefined levels for detecting extreme price conditions:
Overbought: 60, 53.
Oversold: -60, -53.
Fully customizable levels to match different trading preferences.
Color-Coded Visualization:
WT1 (green) and WT2 (red) show smoothed momentum oscillations.
Area between WT1 and WT2 filled in blue for additional clarity.
Strategy Logic
Long Entry Condition:
WT1 crosses above WT2, indicating a bullish reversal.
WT1 is below the Oversold Level (-60) during the crossover.
Short Entry Condition:
WT1 crosses below WT2, signaling a bearish reversal.
WT1 is above the Overbought Level (60) during the crossover.
Exit Logic:
Positions are automatically closed based on opposing signals.
Customization
Oscillator Lengths:
Channel Length (n1): Default 10.
Average Length (n2): Default 21.
Overbought/Oversold Levels:
Default Levels: 60 (Overbought), -60 (Oversold).
Optional secondary levels for finer adjustments.
Visual Enhancements:
Overlay the oscillator with additional chart elements for trend confirmation.
This strategy is ideal for traders looking to combine momentum analysis with overbought/oversold signals, ensuring precise entries and exits in trending markets.
Visit my website for more tools and strategies: bybitindicators.com
Happy Trading! 😊
BB + RSI, Double Strategy (by ChartArt) / Owl of Profit remakeSpecial thanks to ChartArt for the original concept and inspiration.
This strategy combines Bollinger Bands with the Relative Strength Index (RSI) to identify overbought and oversold conditions, providing precise entry and exit points.
Features:
Bollinger Bands:
Measures volatility and price deviations from the SMA.
Period Length: 200 (default).
Standard Deviation Multiplier: 2.0 (default).
Helps identify potential reversal zones at the upper and lower bands.
Relative Strength Index (RSI):
A momentum oscillator to measure overbought and oversold conditions.
Length: 6 (default).
Overbought Level: 50 (default).
Oversold Level: 50 (default).
Entry and Exit Logic:
Long Entry:
RSI crosses above the oversold level (50).
Price crosses above the lower Bollinger Band.
Short Entry:
RSI crosses below the overbought level (50).
Price crosses below the upper Bollinger Band.
Exit Logic:
Long positions are closed when the price and RSI criteria for a short entry are met.
Short positions are closed when the price and RSI criteria for a long entry are met.
Visualization:
Bollinger Bands:
Plotted with the basis (aqua line), upper band (silver), and lower band (silver).
Background fill highlights the bands.
Bar and Background Colors:
Green for bullish conditions (price below the lower band and RSI below the oversold level).
Red for bearish conditions (price above the upper band and RSI above the overbought level).
Customization:
Adjustable Bollinger Bands and RSI parameters to fit different market conditions.
Optional bar and background coloring for enhanced chart readability.
This strategy is ideal for traders looking to combine volatility and momentum analysis for high-probability entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
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!
9/21 EMA_DSWThe 9 and 21 EMA strategy involves using the 9-day and 21-day exponential moving averages to identify potential buy and sell signals. A buy signal is generated when the 9 EMA crosses above the 21 EMA, and a sell signal is generated when the 9 EMA crosses below the 21 EMA.
Zig Zag + RVI / Owl of ProfitZig Zag + Relative Vigor Index (RVI) Strategy
This strategy combines the Zig Zag indicator for identifying trends and the Relative Vigor Index (RVI) for momentum-based entry and exit signals.
Features:
Zig Zag Indicator:
Helps identify major price trends and reversals.
Threshold: 5% (default) to filter out minor price movements.
Dynamically tracks highs and lows to determine the direction of the trend.
Relative Vigor Index (RVI):
Measures market momentum based on closing and opening prices relative to the range.
Length: 14 (default).
Overbought Level: 60 (default).
Oversold Level: 40 (default).
Entry and Exit Logic:
Long Condition:
Zig Zag trend is up.
RVI crosses above the oversold level (40).
Short Condition:
Zig Zag trend is down.
RVI crosses below the overbought level (60).
Exit Long:
Zig Zag trend reverses to down.
OR RVI crosses below the overbought level (60).
Exit Short:
Zig Zag trend reverses to up.
OR RVI crosses above the oversold level (40).
Visualization:
Zig Zag Lines:
Green lines for uptrends and red lines for downtrends plotted on the price chart.
RVI:
Plotted in blue with horizontal overbought (60) and oversold (40) levels for reference.
Customization:
Adjustable Zig Zag percentage threshold for filtering trend reversals.
Configurable RVI levels and length to fit various market conditions.
This strategy is ideal for traders looking to combine trend identification with momentum-based signals for precise entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Triple EMA (TEMA) + Fisher Transform / Owl of ProfitTriple EMA (TEMA) + Fisher Transform Strategy
This strategy combines the Triple Exponential Moving Average (TEMA) and Fisher Transform to identify trend and momentum-based entry and exit signals.
Features:
Triple EMA (TEMA):
A smoothed trend-following indicator designed to reduce lag.
Length: 21 (default).
Helps identify trend direction and crossover signals.
Fisher Transform:
Converts price movements into a Gaussian normal distribution.
Length: 10 (default).
Smoothing: Optional smoothing is applied to reduce noise.
Entry and Exit Logic:
Long Condition:
Price crosses above the TEMA line.
Fisher Transform crosses above 0.
Short Condition:
Price crosses below the TEMA line.
Fisher Transform crosses below 0.
Exit Long:
Price crosses below the TEMA line.
OR Fisher Transform crosses below 0.
Exit Short:
Price crosses above the TEMA line.
OR Fisher Transform crosses above 0.
Visualization:
TEMA:
Plotted in blue on the price chart to show trend direction.
Fisher Transform:
Plotted in red on a separate pane, with a dotted zero line for reference.
Zero Line:
A horizontal line at 0 helps visualize Fisher Transform crossovers.
Customization:
Adjustable TEMA and Fisher Transform lengths to fit different market conditions.
Optional smoothing for Fisher Transform to reduce noise.
This strategy is ideal for traders looking to combine trend-following and momentum-based signals for precise entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
SuperTrend + Stochastic Oscillator / Owl of ProfitSuperTrend + Stochastic Oscillator Strategy
This strategy combines SuperTrend and Stochastic Oscillator to identify trend-based entry and exit points with momentum confirmation.
Features:
SuperTrend Indicator:
Uses ATR (Average True Range) to determine trend direction.
ATR Period: 10 (default).
Multiplier: 3.0 (default).
Identifies bullish (green) and bearish (red) trends.
Stochastic Oscillator:
Measures momentum and identifies overbought or oversold conditions.
%K Period: 14 (default).
%D Period: 3 (default).
Smooth %K: 3 (default).
Entry and Exit Logic:
Long Condition:
SuperTrend indicates a bullish trend.
Stochastic %K crosses above %D.
Stochastic %K is below 20 (oversold level).
Short Condition:
SuperTrend indicates a bearish trend.
Stochastic %K crosses below %D.
Stochastic %K is above 80 (overbought level).
Exit Logic:
Exit conditions can be added using stop-loss, take-profit, or custom rules.
Visualization:
SuperTrend:
Plotted directly on the price chart with green and red lines indicating bullish and bearish trends.
Background fill highlights the trend direction.
Stochastic Oscillator:
Plotted on a separate pane with overbought (80) and oversold (20) levels highlighted.
%K is blue, and %D is orange for easy identification.
Buy and Sell Signals:
Clearly marked with "Long" and "Short" labels for easy visualization.
This strategy is ideal for traders looking to combine trend-following and momentum-based indicators for more reliable entry and exit points.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
SuperTrend + Stochastic / Owl of ProfitSuperTrend + Stochastic Strategy
This strategy combines the SuperTrend indicator with the Stochastic Oscillator to identify trend-following entry and exit points with momentum confirmation.
Features:
SuperTrend Indicator:
Uses ATR (Average True Range) to determine trend direction.
Factor: 3.0 (default).
ATR Length: 10 (default).
Indicates bullish (green) and bearish (red) trends.
Stochastic Oscillator:
Helps identify overbought and oversold conditions.
%K Length: 14 (default).
%D Length (Smoothing): 3 (default).
Overbought Level: 80 (default).
Oversold Level: 20 (default).
Entry and Exit Logic:
Long Condition:
SuperTrend indicates a bullish trend.
Stochastic %K crosses above the oversold level (20).
Short Condition:
SuperTrend indicates a bearish trend.
Stochastic %K crosses below the overbought level (80).
Exit Long:
SuperTrend changes to bearish.
OR Stochastic %K crosses below the overbought level (80).
Exit Short:
SuperTrend changes to bullish.
OR Stochastic %K crosses above the oversold level (20).
Visualization:
SuperTrend:
Plotted directly on the price chart with green and red colors indicating bullish and bearish trends.
Background color changes based on the trend direction.
Stochastic Oscillator:
%K and %D lines plotted in a separate pane with overbought (80) and oversold (20) levels highlighted.
%K is blue, and %D is orange for easy identification.
Alerts:
Not included in this script but can be added for buy and sell conditions to ensure no missed opportunities.
This strategy is ideal for traders looking to combine trend direction with momentum oscillators for more precise entries and exits. Use it for backtesting and refining your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
RSI / Owl of ProfitRSI Strategy
This strategy uses the Relative Strength Index (RSI) to generate buy and sell signals based on overbought and oversold conditions. It also includes customizable stop-loss and take-profit levels for better risk management.
Features:
RSI Calculation:
Length: 14 periods (default).
Overbought Level: 70 (default).
Oversold Level: 30 (default).
Stop-Loss and Take-Profit:
Stop-loss and take-profit levels are calculated as a percentage of the entry price.
Default values:
Stop-Loss: 2%
Take-Profit: 4%
Entry and Exit Logic:
Long Condition:
Triggered when RSI is below the oversold level (default: 30).
Short Condition:
Triggered when RSI is above the overbought level (default: 70).
Exit Logic:
Long positions are exited when either:
The price reaches the take-profit level.
The price hits the stop-loss level.
Short positions are exited under the same conditions, but reversed for stop-loss and take-profit.
Visualization:
RSI Indicator:
Not plotted on the main chart but is used internally to trigger buy and sell signals.
Signals are automatically executed based on RSI levels, with clear position management via SL and TP.
This strategy is ideal for traders looking for a simple and effective momentum-based system that includes built-in risk management.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
RSI + BB / Owl of ProfitRSI + Bollinger Bands Strategy
This strategy combines the Relative Strength Index (RSI) and Bollinger Bands (BB) to identify overbought and oversold conditions for high-probability trade setups.
Features:
Bollinger Bands (BB):
Basis Line: A 20-period Simple Moving Average (default).
Upper Band: Basis + 2 standard deviations of the closing price.
Lower Band: Basis - 2 standard deviations of the closing price.
RSI (Relative Strength Index):
Length: 14 periods (default).
Overbought Level: 70 (default).
Oversold Level: 30 (default).
Entry and Exit Logic:
Long Condition:
RSI crosses above the oversold level (30).
Price touches or drops below the lower Bollinger Band.
Short Condition:
RSI crosses below the overbought level (70).
Price touches or exceeds the upper Bollinger Band.
Exit Long:
RSI crosses above the overbought level (70).
OR price crosses above the BB Basis line.
Exit Short:
RSI crosses below the oversold level (30).
OR price crosses below the BB Basis line.
Visualization:
Bollinger Bands:
Upper and lower bands are displayed in blue with a shaded fill for easier trend identification.
The basis line is plotted in orange.
RSI:
RSI is displayed on a separate pane with horizontal lines at overbought (70) and oversold (30) levels.
RSI line is plotted in purple for clear visualization.
Alerts:
Not included but can be added for buy and sell conditions to ensure no trade opportunity is missed.
This strategy is designed for traders who want to combine momentum and volatility to identify high-probability reversal zones. Use it for backtesting and fine-tuning to suit your trading preferences.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
MACD / Owl of ProfitMACD Strategy
This strategy uses the MACD (Moving Average Convergence Divergence) indicator to identify potential trade opportunities based on bullish and bearish crossovers.
Features:
MACD Components:
MACD Line: The difference between the fast and slow exponential moving averages (default: 12 and 26 periods).
Signal Line: A 9-period EMA of the MACD Line.
Histogram: The difference between the MACD Line and Signal Line, representing momentum strength.
Crossover Logic:
Bullish Crossover: When the MACD Line crosses above the Signal Line, indicating upward momentum.
Bearish Crossover: When the MACD Line crosses below the Signal Line, indicating downward momentum.
Entry and Exit Logic:
Long Condition:
Triggered on a bullish crossover (MACD Line crosses above the Signal Line).
Closes any short position before opening (or adding to) a long position.
Short Condition:
Triggered on a bearish crossover (MACD Line crosses below the Signal Line).
Closes any long position before opening (or adding to) a short position.
Visualization:
MACD Line: Displays momentum trends.
Signal Line: Helps confirm trend reversals.
Histogram: Visualizes the strength and direction of momentum.
This strategy is straightforward and effective for momentum trading, ideal for traders looking to capture trend reversals and ride momentum shifts. Use it for backtesting and adaptation to your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
MACD + Parabolic SAR / Owl of ProfitMACD + Parabolic SAR Strategy
This strategy combines the MACD and Parabolic SAR indicators to identify potential buy and sell signals based on trend direction and momentum.
Features:
MACD (Moving Average Convergence Divergence):
A momentum-based indicator that identifies bullish and bearish trends.
MACD Line: The difference between the fast and slow exponential moving averages.
Signal Line: A 9-period EMA of the MACD Line.
Histogram: Represents the difference between the MACD Line and Signal Line.
Parabolic SAR (Stop and Reverse):
A trend-following indicator used to set trailing stop-loss levels.
Parameters:
Start: 0.02 (default).
Increment: 0.02 (default).
Max: 0.2 (default).
Entry and Exit Logic:
Long Condition:
MACD Line is above the Signal Line (bullish momentum).
Price is above the Parabolic SAR value.
Opens a long position.
Short Condition:
MACD Line is below the Signal Line (bearish momentum).
Price is below the Parabolic SAR value.
Opens a short position.
Exit Logic:
For long positions: Exits when short conditions are met.
For short positions: Exits when long conditions are met.
Visualization:
MACD: Displays MACD Line, Signal Line, and Histogram to analyze momentum shifts.
Parabolic SAR: Plotted as dots above or below the price, indicating trend direction.
This strategy is ideal for traders who prefer a combination of momentum and trend-following techniques for precise entries and exits. Use it for backtesting and fine-tuning to match your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Keltner Channels + Momentum / Owl of ProfitKeltner Channels + Momentum Strategy
This strategy combines Keltner Channels and the Momentum indicator to identify potential breakout trades and determine market strength.
Features:
Keltner Channels:
Middle Line: Exponential Moving Average (EMA) of the close price.
Upper and Lower Bands: Calculated by adding or subtracting a multiple of the Average True Range (ATR) from the EMA.
Default length: 20 periods.
Default multiplier: 1.5.
Momentum Indicator:
Measures the rate of price change over a specified period.
Default length: 14 periods.
A positive momentum indicates bullish strength, and a negative momentum indicates bearish strength.
Entry and Exit Logic:
Long Condition:
Price crosses above the upper Keltner Channel.
Momentum is greater than 0 (indicating upward strength).
Short Condition:
Price crosses below the lower Keltner Channel.
Momentum is less than 0 (indicating downward strength).
Exit Logic:
For Long Positions: Exit when the price crosses below the middle Keltner Channel or momentum falls below 0.
For Short Positions: Exit when the price crosses above the middle Keltner Channel or momentum rises above 0.
Visualization:
Keltner Channels: Upper (blue), middle (orange), and lower (blue) bands plotted on the chart.
Momentum Indicator: Displayed as a line oscillating around 0.
Signals for long and short entries/exits are clearly marked on the chart.
This strategy is designed for traders who seek to capitalize on breakout opportunities while confirming trade strength using momentum.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Ichimoku Cloud + ADX + VWAP / Owl of ProfitIchimoku + ADX + VWAP Strategy
This strategy combines the Ichimoku Cloud, Average Directional Index (ADX), and Volume Weighted Average Price (VWAP) indicators to identify trend direction, momentum strength, and price positioning for optimal trade entries and exits.
Features:
Ichimoku Cloud:
Conversion Line (Tenkan-Sen): 9-period midpoint of the highest high and lowest low.
Base Line (Kijun-Sen): 26-period midpoint of the highest high and lowest low.
Leading Span A: Average of the Conversion and Base Lines, displaced 26 periods forward.
Leading Span B: 52-period midpoint of the highest high and lowest low, displaced 26 periods forward.
Cloud Fill (Kumo): Visualizes bullish (green) or bearish (red) trends.
ADX (Average Directional Index):
14-period ADX indicates the strength of a trend.
Signals are valid when ADX is above the 25 threshold.
VWAP (Volume Weighted Average Price):
Used as a dynamic support/resistance level to confirm price positioning.
Entry and Exit Logic:
Buy Condition:
Price is above both Leading Span A and B.
ADX is greater than 25, indicating a strong trend.
Price is above the VWAP.
Sell Condition:
Price is below both Leading Span A and B.
ADX is greater than 25.
Price is below the VWAP.
Trade Execution:
Executes a long position on a valid buy signal.
Closes the position when the sell condition is met.
Visualization:
Ichimoku Cloud is plotted with a dynamic fill to display bullish and bearish trends.
ADX is plotted with a horizontal threshold line at 25.
VWAP is displayed as a thick blue line for price confirmation.
Buy and Sell signals are marked on the chart with green and red labels, respectively.
This strategy integrates trend, momentum, and price positioning for high-confidence trades. Use it for backtesting and customization to suit your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
HMA + RSI / Owl of ProfitHMA + RSI Strategy
This strategy combines the Hull Moving Average (HMA) and the Relative Strength Index (RSI) to identify potential trade opportunities based on trend direction and momentum.
Features:
HMA Calculation:
Length: 50 (default).
HMA is plotted as a blue line on the price chart to indicate trend direction.
RSI Calculation:
Length: 14 (default).
Overbought Level: 70.
Oversold Level: 30.
RSI is plotted in purple with horizontal lines for overbought and oversold levels.
Entry and Exit Logic:
Long Condition:
Triggered when the price is above HMA, and RSI crosses above the oversold level (30).
Short Condition:
Triggered when the price is below HMA, and RSI crosses below the overbought level (70).
Exit Logic:
Long positions exit when RSI crosses below the overbought level or when the price drops below HMA.
Short positions exit when RSI crosses above the oversold level or when the price rises above HMA.
Customization Options:
Adjust HMA and RSI lengths, as well as RSI levels for overbought and oversold conditions, to suit different market conditions.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
FVG Oscillator (OmegaTools) / Owl of Profit remakeFVG Oscillator (OmegaTools)
Big thanks to OmegaTools for providing this strategy and making it available under the Mozilla Public License 2.0! This Pine Script™ code is subject to the terms of the license at mozilla.org
This strategy leverages Fair Value Gaps (FVG) to detect potential bullish and bearish trading opportunities, combining price gaps and volume analysis for precision.
Features:
FVG Detection:
Bullish FVG (BFVG): Identifies price gaps with upward momentum.
Bearish FVG (SFVG): Identifies price gaps with downward momentum.
Additional Conditions:
Requires confirmation via volume or significant gap size.
Dynamic Count:
Tracks bullish and bearish FVG counts over a customizable 50-bar lookback period.
Normalized Gap Values:
Displays weighted bullish and bearish FVG patterns for better visualization.
Entry and Exit Logic:
Buy Signal: Triggered when a bullish FVG meets verification criteria (volume or significant gap).
Sell Signal: Triggered when a bearish FVG meets verification criteria.
Automatic position management ensures existing positions are closed before entering new ones.
Visualization:
Plots bullish and bearish FVG counts and highlights areas above and below zero.
Displays normalized gap widths as histograms for both long and short patterns.
This strategy provides a robust framework for detecting and trading fair value gaps, making it ideal for traders seeking a gap-based methodology. Use it for backtesting or customize it further for your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Fibonacci Retracement + Pivot Points + RSI / Owl of ProfitFibonacci Retracement + Pivot Points + RSI Strategy
This strategy combines Fibonacci Retracement, Pivot Points, and the Relative Strength Index (RSI) to identify key support/resistance levels, overbought/oversold conditions, and potential trade opportunities.
Features:
Fibonacci Retracement Levels:
Key levels (38.2%, 50%, 61.8%) are plotted to identify potential support and resistance zones.
Helps traders determine possible reversal or bounce points.
Pivot Points:
Automatically detects swing highs and lows on the chart.
Assists in locating key levels for entry or exit.
Relative Strength Index (RSI):
Identifies overbought (above 70) and oversold (below 30) conditions.
Provides additional confirmation for trades.
Entry and Exit Conditions:
Buy Signal: Triggered when the price bounces from a Fibonacci retracement level and RSI is below 30 (oversold).
Sell Signal: Triggered when the price rejects a Fibonacci retracement level and RSI is above 70 (overbought).
Customization Options:
Adjust Fibonacci levels, pivot point sensitivity, and RSI thresholds to suit different markets and trading styles.
Visualization:
Fibonacci retracement levels and pivot points are displayed directly on the chart.
RSI is plotted in a separate panel, with overbought/oversold levels clearly marked.
This strategy is designed for educational and testing purposes. Use it as a foundation for further backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
