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.
Analizy Trendu
Volatility Compression OscillatorThis Pine Script v6 component is designed to identify periods of volatility compression, which often precede significant market moves.
Here's how it works:
Bollinger Bands Width (BBW): The script calculates the width of the Bollinger Bands across multiple timeframes (5m, 15m, 1h, daily) to detect periods of tightening.
Average True Range (ATR): The ATR is calculated for the same timeframes to identify declining volatility.
Compression Score: A numerical score is generated by averaging the BBW values and dividing by the sum of ATR values across the timeframes. This score indicates the level of volatility compression.
Alerts: Alerts are triggered when the compression score falls below a specified threshold, indicating a potential breakout or breakdown.
Visualization: The compression score is plotted on the chart, and periods of extreme compression are highlighted with a background color. If enabled, volume data is also plotted to confirm compression phases.
To use this component, add it to your TradingView chart. Adjust the input parameters to suit your analysis needs and monitor the compression score and alerts for potential trading opportunities.
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!
SessionsL'indicatore di sessioni di trading è uno strumento visivo essenziale per i trader che desiderano analizzare il comportamento del mercato durante specifiche fasce orarie corrispondenti alle principali sessioni di trading globali (come New York, Londra, Tokyo e Sydney). Questo indicatore traccia automaticamente sul grafico le diverse sessioni, evidenziandone l'inizio e la fine, per aiutare a identificare le ore di maggiore volatilità e liquidità.
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!
OTTO (KivancOzbilgic) / Owl of Profit remakeOptimized Trend Tracker Oscillator Strategy (KivancOzbilgic)
Big thanks to KivancOzbilgic for developing this sophisticated and customizable trend-following strategy. The Optimized Trend Tracker Oscillator (OTTO) is designed to provide precise buy and sell signals using dynamic stop-loss levels and multiple moving average types.
Features:
Customizable Moving Averages (MA):
Choose from various MA types: SMA, EMA, WMA, DEMA, TMA, VAR, WWMA, ZLEMA, TSF, or HULL.
Adjust length and optimization parameters for a tailored fit.
Dynamic Stop-Loss Levels:
Automatically adjusts based on the selected MA and user-defined optimization coefficients.
Includes both long and short stop-loss levels.
Buy and Sell Signal Detection:
Signals are generated when HOTT and LOTT lines cross.
Signals are visually marked on the chart and can trigger alerts.
Entry and Exit Logic:
Long Condition:
Triggered when HOTT crosses below LOTT, signaling a bullish trend.
Closes any short positions before opening a long position.
Short Condition:
Triggered when HOTT crosses above LOTT, signaling a bearish trend.
Closes any long positions before opening a short position.
Visualization:
HOTT and LOTT Lines:
HOTT (High Optimized Trend Tracker) dynamically follows the trend.
LOTT (Low Optimized Trend Tracker) acts as a counter line for crossovers.
Highlighting:
Bullish zones are highlighted in green, and bearish zones are highlighted in red.
Buy and Sell Signals:
Signals are plotted with clear labels (Buy and Sell) for easy interpretation.
Alerts:
Alerts are built-in for buy and sell signals, ensuring you never miss an opportunity.
This strategy is ideal for traders who want to combine trend tracking with adaptive stop-losses for precise entries and exits. Use it for backtesting and further refinement to match your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Nadaraya Watson (Lupown) / Owl of Profit remakeNadaraya-Watson Strategy (Lupown)
Big thanks to Lupown for this innovative strategy! This source code is subject to the terms of the Mozilla Public License 2.0, available at mozilla.org
This strategy leverages Nadaraya-Watson Kernel Regression to provide predictive trend analysis, combined with ATR-based dynamic bands for identifying trade opportunities.
Features:
Nadaraya-Watson Kernel Regression:
Predicts price trends using a rational quadratic kernel.
Configurable parameters for lookback window (h) and weighting (r) allow fine-tuning.
Regression begins after a customizable number of bars for improved accuracy.
ATR-Based Bands:
Upper and lower bands are calculated by adding/subtracting a multiple of ATR to/from the regression estimate.
Bands serve as dynamic support and resistance levels.
Trend Detection:
Smooth or reactive color changes based on crossovers or rate-of-change mechanisms.
Bullish and bearish trend shifts are clearly visualized.
Entry and Exit Logic:
Long Condition:
Triggered when the price crosses below the lower ATR-based band.
Closes any short position before opening a long position.
Short Condition:
Triggered when the price crosses above the upper ATR-based band.
Closes any long position before opening a short position.
Visualization:
Regression Estimate: The middle band is plotted with dynamic colors indicating bullish (green) or bearish (red) trends.
ATR-Based Bands: Upper and lower bands are displayed as green and red lines, respectively.
Trend Indicators: Buy and sell signals are visualized with symbols (🍀 for bullish and 🥀 for bearish).
Alerts:
Alerts for price crossing the upper or lower bands.
Alerts for bullish and bearish trend shifts based on regression changes.
This strategy provides a robust framework for predictive trading using statistical regression and dynamic volatility bands. Use it for backtesting and further customization to fit your trading needs.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Pivot Points Signals by Manish Sharma FinanceXShows Key Levels:
Pivot Point (Yellow)
Resistance levels R1, R2 (Green)
Support levels S1, S2 (Red)
Simple Signals:
Buy arrow when price crosses above R1
Sell arrow when price crosses below S1
Clean Interface:
Clear visual markers for trades
No complicated settings
Just support/resistance levels and entry signals
Sweaty Palms 9/21 EMAThe "Sweaty Palms 9/21 EMA" script is designed to help traders identify short-term and medium-term momentum trends using two Exponential Moving Averages (EMAs). The 9-period EMA is ideal for tracking immediate price movements, while the 21-period EMA provides a broader view of the trend. Together, they offer valuable insights into potential entry and exit points for trades.
This script allows users to customize the lengths of both EMAs to fit their trading style. By default, the 9 EMA is displayed in green, and the 21 EMA in yellow, making it easy to distinguish between the two. Users also have the option to toggle the visibility of each EMA, providing flexibility to focus on specific trends.
Dynamic labels are included to enhance usability by displaying the EMA lengths near the most recent bar on the chart. These labels update automatically, ensuring that users always have clear and relevant information at a glance. The bold, color-coded lines further enhance the visual appeal, making the chart easy to interpret even during fast-moving markets.
This script is a valuable tool for both swing and intraday traders. By monitoring crossovers between the 9 EMA and 21 EMA, traders can identify potential trend reversals or confirmations. Additionally, pullbacks to the 9 EMA can signal possible entry points, while the 21 EMA can act as a reliable trailing stop or trend filter. Overall, this script provides a clean, efficient way to analyze price momentum and make informed trading decisions.
Q-o-Q Sales, Profit, EPS//@version=5
indicator("Q-o-Q Sales, Profit, EPS", overlay=false)
// Inputs for sales, profit, and EPS for 4 quarters
sales_q1 = input.string("1000", title="Sales Q1 (in NYSE:K )")
sales_q2 = input.string("1200", title="Sales Q2 (in NYSE:K )")
sales_q3 = input.string("1100", title="Sales Q3 (in NYSE:K )")
sales_q4 = input.string("1300", title="Sales Q4 (in NYSE:K )")
profit_q1 = input.string("200", title="Profit Q1 (in NYSE:K )")
profit_q2 = input.string("250", title="Profit Q2 (in NYSE:K )")
profit_q3 = input.string("220", title="Profit Q3 (in NYSE:K )")
profit_q4 = input.string("300", title="Profit Q4 (in NYSE:K )")
eps_q1 = input.string("1.5", title="EPS Q1")
eps_q2 = input.string("1.8", title="EPS Q2")
eps_q3 = input.string("1.6", title="EPS Q3")
eps_q4 = input.string("2.0", title="EPS Q4")
// Table creation
var table table_id = table.new(position.top_center, 4, 5, bgcolor=color.new(color.gray, 90))
// Add table headers
table.cell(table_id, 0, 0, "Quarter", text_color=color.white, bgcolor=color.new(color.blue, 50))
table.cell(table_id, 0, 1, "Sales ( NYSE:K )", text_color=color.white, bgcolor=color.new(color.blue, 50))
table.cell(table_id, 0, 2, "Profit ( NYSE:K )", text_color=color.white, bgcolor=color.new(color.blue, 50))
table.cell(table_id, 0, 3, "EPS", text_color=color.white, bgcolor=color.new(color.blue, 50))
// Populate table with data
table.cell(table_id, 1, 0, "Q1", text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 1, 1, sales_q1, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 1, 2, profit_q1, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 1, 3, eps_q1, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 2, 0, "Q2", text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 2, 1, sales_q2, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 2, 2, profit_q2, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 2, 3, eps_q2, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 3, 0, "Q3", text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 3, 1, sales_q3, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 3, 2, profit_q3, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 3, 3, eps_q3, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 4, 0, "Q4", text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 4, 1, sales_q4, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 4, 2, profit_q4, text_color=color.black, bgcolor=color.new(color.white, 0))
table.cell(table_id, 4, 3, eps_q4, text_color=color.black, bgcolor=color.new(color.white, 0))
// Plot to make the script usable
plot(na)
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 + 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!
Parabolic SAR + SuperTrend + Volume Oscillator / Owl of ProfitParabolic SAR + SuperTrend + Volume Oscillator Strategy
This strategy combines the Parabolic SAR, SuperTrend, and Volume Oscillator indicators to generate high-confidence buy and sell signals based on trend direction, momentum, and volume.
Features:
Parabolic SAR:
A trend-following indicator that helps determine potential reversals.
Parameters:
Start: 0.02
Increment: 0.02
Max: 0.2
SuperTrend Indicator:
Determines the overall trend direction using price and ATR.
Parameters:
Length: 10
Multiplier: 3
The SuperTrend Cloud dynamically highlights bullish (green) or bearish (red) zones.
Volume Oscillator:
Measures the difference between short-term and long-term EMA of volume to assess momentum in trading activity.
Parameters:
Short Length: 14
Long Length: 28
Entry and Exit Logic:
Buy Condition:
Price is above the Parabolic SAR.
SuperTrend is bullish (price above the lower SuperTrend line).
Volume Oscillator is positive (indicating increasing volume).
Sell Condition:
Price is below the Parabolic SAR.
SuperTrend is bearish (price below the upper SuperTrend line).
Volume Oscillator is negative (indicating decreasing volume).
Trade Execution:
Opens a long position when the buy condition is met.
Closes the position when the sell condition is met.
Visualization:
Parabolic SAR: Red dots plotted above or below the price to indicate trend direction.
SuperTrend Cloud: A dynamic cloud that changes color based on bullish or bearish trends.
Volume Oscillator: Plotted as a blue line showing volume momentum.
Buy and Sell signals are clearly marked with "BUY" and "SELL" labels.
This strategy combines trend-following and volume-based confirmation for reliable trade entries and exits. Use it for backtesting and refining your trading approach.
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!
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!
Brokerir Trend Change IndicatorBrokerir’s Trend Change Indicator: Your Comprehensive Tool for Navigating Market Trends
brokerir.com
Brokerir proudly introduces the Trend Change Indicator, an all-in-one, intuitive tool crafted to help traders and investors seamlessly identify bullish and bearish trends in asset prices. Designed with user experience in mind, this indicator offers customizable input settings and an integrated alert system that promptly notifies users of potential shifts in both short-term and long-term market trends. These timely alerts are essential for less active investors to position themselves accurately before significant trend changes occur and play a vital role in managing risk once a trend is established. It’s important to highlight that the Trend Change Indicator performs best with assets that have a history of strong, sustained trends.
Core Features:
Exponential Moving Averages (EMA) Interaction: At the foundation of this tool lies the dynamic interaction between the 30-day and 60-day EMAs. A green signal denotes a bullish trend when the 30-day EMA surpasses the 60-day EMA, while a red signal indicates a bearish trend when the 30-day EMA falls below the 60-day EMA. Additionally, the appearance of gray signals alerts users to potential trend reversals as the EMAs converge and dip below the Average True Range (ATR) safety threshold. This comprehensive analysis is performed on both hourly and daily timeframes, with the 4-hour timeframe offering early indications of daily trend changes. Visually, the indicator displays the EMA interactions within a band on the daily chart, also reflected in the second row of the table, while the first row showcases the EMA interactions on the 4-hour timeframe.
140-Day Simple Moving Average (SMA) with Predictive Insights: Enhancing long-term trend analysis, the Trend Change Indicator incorporates a 140-day (20-week) SMA, depicted by a line adorned with predictive dots. This feature empowers investors to gain a deeper understanding of long-term price movements by projecting the SMA value 10 days into the future. The slope of these predictive dots is key: an upward trend in the dots suggests an underlying bullish trend, whereas a downward trend indicates a bearish outlook. Generally, asset prices trading above the SMA are considered bullish, while those below are viewed as bearish.
Why Choose Brokerir’s Trend Change Indicator?
The Trend Change Indicator by Brokerir is a robust solution for pinpointing price trends and effectively managing risk. Its user-friendly, color-coded interface makes it an indispensable asset for traders and investors aiming to stay ahead of trend shifts and maintain control over their investments once a trend is in motion. Historically, this indicator has demonstrated significant value in trending markets such as cryptocurrencies, technology stocks, and commodities. For optimal results, Brokerir recommends using the Trend Change Indicator alongside other technical analysis tools to achieve a more comprehensive and balanced decision-making process.
Embrace Brokerir’s Trend Change Indicator to enhance your trading strategy, stay informed about market dynamics, and manage your investment risks with confidence.
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!
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!
SAR / Owl of ProfitParabolic SAR Strategy
This strategy utilizes the Parabolic SAR indicator to identify potential trend reversals and generate buy and sell signals. It provides a simple yet effective approach for trend-following traders.
Features:
Parabolic SAR:
Step (Increment): 0.02
Maximum Step: 0.2
Start Value: 0.02
Trend-Following Logic:
Long signals are triggered when the price closes above the Parabolic SAR value.
Short signals are triggered when the price closes below the Parabolic SAR value.
Entry and Exit Logic:
Long Condition:
Price is above the Parabolic SAR value.
Opens a long position.
Short Condition:
Price is below the Parabolic SAR value.
Opens a short position.
Exit Logic:
Positions are automatically exited when the opposite signal is triggered (e.g., long to short or short to long).
Customization:
Stop-Loss and Take-Profit:
These can be added to refine risk management and optimize profitability.
Visualization:
Parabolic SAR:
Plotted as dots above or below the price, indicating trend direction.
Clear buy and sell signals based on price interaction with the SAR levels.
This strategy is straightforward and ideal for traders who prefer a simple, rule-based approach to following market trends.
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!
Swing High/Low (ZigZag) [ChartPrime]Swing High/Low (ZigZag) Indicator
The Swing High/Low (ZigZag) Indicator is a versatile tool for identifying and visualizing price swings, swing highs, and swing lows. It dynamically plots levels for significant price points while connecting them with a ZigZag line, enabling traders to analyze market structure and trends with precision.
⯁ KEY FEATURES
Swing Highs and Lows Detection
Accurately detects and marks swing highs and lows, providing a clear structure of market movements.
Real-Time ZigZag Line
Connects swing points with a dynamic ZigZag line for a visual representation of price trends.
Customizable Swing Sensitivity
Swing length input allows traders to adjust the sensitivity of swing detection to match their preferred market conditions.
Swing Levels with Shadows
Option to display swing levels with extended shadows for better visibility and market analysis.
Broken Levels Marking
Tracks and visually updates levels as dashed lines when broken, providing insights into shifts in market structure.
Swing Direction Display
At the top-right corner, the indicator displays the current swing direction (up or down) with a directional arrow for quick reference.
Interactive Labels
Marks swing levels with labels, showing the price of swing highs and lows for added clarity.
Dynamic Market Structure Analysis
Automatically adjusts ZigZag lines and levels as the market evolves, ensuring real-time updates for accurate trading decisions.
⯁ HOW TO USE
Analyze Market Trends
Use the ZigZag line and swing levels to identify the overall direction and structure of the market.
Spot Significant Price Points
Swing highs and lows act as potential support and resistance levels for trading opportunities.
Adjust Swing Sensitivity
Modify the swing length setting to match your trading strategy, whether scalping, day trading, or swing trading.
Monitor Broken Levels
Use the dashed lines of broken levels to identify changes in market dynamics and potential breakout or breakdown zones.
Plan Entries and Exits
Leverage swing levels and direction to determine optimal entry, stop-loss, and take-profit points.
⯁ CONCLUSION
The Swing High/Low (ZigZag) Indicator is a powerful tool for traders seeking to visualize price swings and market structure. Its real-time updates, customizable settings, and dynamic swing direction make it an invaluable resource for technical analysis and decision-making.
