XAUUSD Stretegy - proyect1. *Indicators Used*:
- Trying to implement fixed profile volume.
2. *Entry Conditions*:
- An entry signal is defined, it need effective conditions.
- Trades are only allowed between 09:00 and 12:00
- Only long positions.
- Only 1 trade per day.
3. *Position Sizing*:
- Can custom risk
4. *Exit Conditions*:
- When TP or SL.
- When is 15:00 close all trades.
### *Summary*
This project focuses on leveraging gold's bullish market to achieve controlled profits with customizable risk. It combines technical tools and disciplined risk management to optimize efficiency. Currently in development, the strategy aims to refine its performance and adaptability, offering a structured approach for trading gold’s upward trends.
Cari skrip untuk "entry"
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!
VWAP + MACD / Owl of ProfitVWAP + MACD Strategy
This strategy combines Volume Weighted Average Price (VWAP) with the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based entry and exit signals aligned with price levels.
Features:
VWAP (Volume Weighted Average Price):
A benchmark price level that accounts for trading volume.
Helps identify if the price is trading above or below a key average.
MACD (Moving Average Convergence Divergence):
Measures the relationship between two EMAs.
Fast Length: 12 (default).
Slow Length: 26 (default).
Signal Smoothing: 9 (default).
MACD Histogram highlights the difference between the MACD Line and the Signal Line.
Entry and Exit Logic:
Long Condition:
MACD Line crosses above the Signal Line.
Price is trading above VWAP.
Short Condition:
MACD Line crosses below the Signal Line.
Price is trading below VWAP.
Exit Long:
MACD Line crosses below the Signal Line.
OR price crosses below VWAP.
Exit Short:
MACD Line crosses above the Signal Line.
OR price crosses above VWAP.
Visualization:
VWAP:
Plotted as an orange line on the price chart.
MACD:
MACD Line in blue, Signal Line in red.
Histogram indicates positive (green) or negative (red) momentum.
Zero Line:
A reference line at 0 for MACD analysis.
Customization:
Adjustable MACD parameters and VWAP can be tailored to fit specific market conditions or timeframes.
This strategy is ideal for traders who want to combine momentum with volume-weighted trend direction for more precise entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Volume Oscillator + Price Action / Owl of ProfitVolume Oscillator + Price Action Strategy
This strategy combines the Volume Oscillator with a Moving Average (MA) to identify trend-following entry and exit points based on momentum and price action.
Features:
Volume Oscillator:
Measures the difference between short-term and long-term EMA of volume.
Short Length: 14 (default).
Long Length: 28 (default).
Helps identify increasing or decreasing momentum in trading activity.
Price Action Moving Average (MA):
A 50-period Simple Moving Average (default) used to determine the overall price trend.
Entry and Exit Logic:
Long Condition:
Volume Oscillator crosses above zero.
Price is above the Moving Average.
Short Condition:
Volume Oscillator crosses below zero.
Price is below the Moving Average.
Exit Long:
Volume Oscillator crosses below zero.
OR price crosses below the Moving Average.
Exit Short:
Volume Oscillator crosses above zero.
OR price crosses above the Moving Average.
Visualization:
Volume Oscillator:
Plotted as a blue line with a horizontal zero line for reference.
Price Moving Average:
Plotted as an orange line on the price chart to show trend direction.
Zero Line:
A horizontal line at zero to help visualize the Volume Oscillator crossovers.
Customization:
Adjustable lengths for Volume Oscillator and Moving Average to fit different market conditions.
This strategy is perfect for traders looking to combine momentum from volume changes with trend-following price action 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!
MA 50 + MA 200 / Owl of ProfitMA 50 + MA 200 Strategy
This simple strategy leverages the crossover of two moving averages — the 50-period and 200-period Simple Moving Averages (SMA) — to identify trend reversals and generate buy and sell signals.
Features:
Moving Average Calculation:
MA 50: Represents the short-term trend.
MA 200: Represents the long-term trend.
Crossover Logic:
Bullish Crossover: When MA 50 crosses above MA 200, indicating a potential upward trend.
Bearish Crossover: When MA 50 crosses below MA 200, indicating a potential downward trend.
Entry and Exit Logic:
Long Condition:
Triggered when MA 50 crosses above MA 200.
Closes any short position before opening (or adding to) a long position.
Short Condition:
Triggered when MA 50 crosses below MA 200.
Closes any long position before opening (or adding to) a short position.
Visualization:
MA 50 (Short-Term): Plotted on the chart as a dynamic line for short-term trend analysis.
MA 200 (Long-Term): Plotted on the chart to reflect the long-term trend.
Crossover points are visually indicated by the trade entry/exit markers on the chart.
This strategy is ideal for traders who prefer a simple and effective trend-following approach based on moving averages. Use it for backtesting and adaptation to your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
IME-Bands with RSI Strategy//@version=5
strategy("IME-Bands with RSI Strategy", overlay=true)
// === INPUTS ===
src = close
emaS_value = input.int(50, minval=1, title="EMA Small - Value") // 50 EMA
emaB_value = input.int(100, minval=1, title="EMA Big - Value") // 100 EMA
rsi_length = input.int(14, title="RSI Length")
rsi_source = input.source(close, title="RSI Source")
rsi_overbought = input.int(70, title="RSI Overbought Level")
rsi_oversold = input.int(30, title="RSI Oversold Level")
// === CALCULATIONS ===
// EMAs
emaS = ta.ema(close, emaS_value)
emaB = ta.ema(close, emaB_value)
// RSI
rsi = ta.rsi(rsi_source, rsi_length)
// IME-Band Cross Conditions
isGreenCrossover = emaS > emaB // Green band
isRedCrossover = emaS < emaB // Red band
// Track Green Cross Confirmation
var bool isGreenConfirmed = false
if (isGreenCrossover and not isGreenCrossover ) // First green crossover
isGreenConfirmed := true
if (not isGreenCrossover)
isGreenConfirmed := false
// Entry Condition: RSI above 70 on second green candle
entryCondition = isGreenConfirmed and rsi > rsi_overbought and isGreenCrossover
// Exit Condition: Red band confirmed
exitCondition = isRedCrossover
// === STRATEGY RULES ===
// Stop Loss: Lowest point of crossover
var float stopLoss = na
if (isGreenCrossover and not isGreenCrossover )
stopLoss := emaB // Set stop loss to EMA Big (crossover point)
// Entry and Exit Trades
if (entryCondition)
strategy.entry("Buy", strategy.long)
stopLoss := na // Reset stop loss after entry
if (exitCondition)
strategy.close("Buy")
// Stop Loss logic
if (strategy.position_size > 0 and not na(stopLoss))
strategy.exit("Stop Loss", from_entry="Buy", stop=stopLoss)
// Plotting
plot(emaS, color=color.green, title="EMA Small (50)", linewidth=1)
plot(emaB, color=color.red, title="EMA Big (100)", linewidth=1)
hline(rsi_overbought, "RSI Overbought", color=color.new(color.red, 70), linestyle=hline.style_dotted)
plot(rsi, color=color.blue, title="RSI")
Ichimoku Cloud + ATR / Owl of ProfitIchimoku Cloud + ATR Strategy
This strategy combines the Ichimoku Cloud and the Average True Range (ATR) to identify trade opportunities and set dynamic stop-loss levels based on market volatility.
Features:
Ichimoku Cloud Components:
Tenkan-Sen (Conversion Line): 9-period midpoint of the highest high and lowest low (default).
Kijun-Sen (Base Line): 26-period midpoint of the highest high and lowest low (default).
Senkou Span A: Average of Tenkan-Sen and Kijun-Sen, displaced 26 periods forward.
Senkou Span B: 52-period midpoint of the highest high and lowest low, displaced 26 periods forward.
Chikou Span: Current close, displaced 26 periods backward.
ATR (Average True Range):
Used to calculate stop-loss levels based on market volatility.
ATR multiplier is customizable (default: 1.5).
Entry and Exit Logic:
Long Condition:
Tenkan-Sen crosses above Kijun-Sen.
Price is above both Senkou Span A and B.
Chikou Span is above the current close.
Stop-Loss: Dynamic, set below the entry price by a multiple of ATR.
Short Condition:
Tenkan-Sen crosses below Kijun-Sen.
Price is below both Senkou Span A and B.
Chikou Span is below the current close.
Stop-Loss: Dynamic, set above the entry price by a multiple of ATR.
Exit Conditions:
For longs, exit when Tenkan-Sen crosses below Kijun-Sen or Chikou Span falls below the close.
For shorts, exit when Tenkan-Sen crosses above Kijun-Sen or Chikou Span rises above the close.
Visualization:
Ichimoku Cloud: Displays bullish (green) and bearish (red) zones with a dynamic fill.
Tenkan-Sen, Kijun-Sen, and Chikou Span: Plotted for clarity in identifying trends and momentum.
Buy and Sell Signals: Marked with green "Long" and red "Short" labels. Exit points are also highlighted.
This strategy provides a comprehensive framework for trading trends while managing risk with volatility-based stop-loss levels. Use it for backtesting and further adaptation to your trading preferences.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Ichimoku Cloud / Owl of ProfitIchimoku Cloud Strategy
This strategy uses the Ichimoku Cloud indicator to detect trend direction and momentum for generating entry and exit signals.
Features:
Ichimoku Cloud Components:
Tenkan-Sen (Conversion Line): Calculated as the midpoint of the highest high and lowest low over the past 9 periods (default).
Kijun-Sen (Base Line): Calculated as the midpoint of the highest high and lowest low over the past 26 periods (default).
Senkou Span A (Leading Span A): The average of Tenkan-Sen and Kijun-Sen, displaced 26 periods into the future.
Senkou Span B (Leading Span B): The midpoint of the highest high and lowest low over the past 52 periods, displaced 26 periods into the future.
Chikou Span (Lagging Span): The current close, displaced 26 periods into the past.
Entry Conditions:
Long: Price is above the cloud (Span A and Span B) and Tenkan-Sen is above Kijun-Sen.
Short: Price is below the cloud (Span A and Span B) and Tenkan-Sen is below Kijun-Sen.
Exit Conditions:
Positions are exited when the opposite signal is generated.
Visualization:
The Ichimoku Cloud (Kumo) is displayed with a green fill for bullish trends and a red fill for bearish trends.
Tenkan-Sen and Kijun-Sen are plotted as dynamic support and resistance levels.
This strategy is ideal for identifying strong trends and capturing momentum-based trade opportunities. Use it for backtesting and further adaptation to your trading preferences.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
BuyTheDips Trade on Trend and Fixed TP/SL
This strategy is designed to trade in the direction of the trend using exponential moving average (EMA) crossovers as signals while employing fixed percentages for take profit (TP) and stop loss (SL) to manage risk and reward. It is suitable for both scalping and swing trading on any timeframe, with its default settings optimized for short-term price movements.
How It Works
EMA Crossovers:
The strategy uses two EMAs: a fast EMA (shorter period) and a slow EMA (longer period).
A buy signal is triggered when the fast EMA crosses above the slow EMA, indicating a potential bullish trend.
A sell signal is triggered when the fast EMA crosses below the slow EMA, signaling a bearish trend.
Trend Filtering:
To improve signal reliability, the strategy only takes trades in the direction of the overall trend:
Long trades are executed only when the fast EMA is above the slow EMA (bullish trend).
Short trades are executed only when the fast EMA is below the slow EMA (bearish trend).
This filtering ensures trades are aligned with the prevailing market direction, reducing false signals.
Risk Management (Fixed TP/SL):
The strategy uses fixed percentages for take profit and stop loss:
Take Profit: A percentage above the entry price for long trades (or below for short trades).
Stop Loss: A percentage below the entry price for long trades (or above for short trades).
These percentages can be customized to balance risk and reward according to your trading style.
For example:
If the take profit is set to 2% and the stop loss to 1%, the strategy operates with a 2:1 risk-reward ratio. BINANCE:BTCUSDT
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!
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!
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!
