Galactic Profit EngineGalactic Profit Engine is a powerful and innovative trading indicator designed to elevate your market analysis and optimize trading decisions across stocks, forex, and cryptocurrencies.
This all-in-one tool seamlessly integrates advanced technical indicators and performance analytics, drawing inspiration from the works of LuxAlgo, ClassicScott, and LonesomeTheBlue. We extend our heartfelt gratitude to these talented developers for their contributions.
Key Features:
Multi-Strategy Performance Testing: Evaluate four proprietary signal groups—Titan Fusion (TF), Quantum Leap (QL), Nebula Drift (ND), and Vortex Sync (VSY)—across multiple timeframes (5m, 15m, 30m, 1h, 2h, 4h, Daily) to identify the most profitable strategy for your asset.
Dynamic Entry Signals: Visualize buy and sell signals with customizable labels, enabling real-time tracking of the selected strategy.
Dynamic Fibo-Donchian Channels: Identify precise support (Bottom Donchian, Low .786) and resistance (Top Donchian, High .786) levels for strategic entries and exits.
Smart Money Concepts: Leverage premium and discount zones to align trades with market structure, enhancing decision precision.
Elite Trend Fusion: Utilize SMA (50, 100, 200) and VWAP plots to confirm trend direction and pinpoint critical support/resistance levels.
Divergence Detection: Detect bullish and bearish divergences across multiple indicators (e.g., RSI, MACD) to refine entry timing.
Trading Strategy: Galactic Profit Engine Methodology
The Galactic Profit Engine employs a systematic, data-driven trading methodology to optimize entry and exit points.
Below is a detailed, professional breakdown for Long and Short positions.
1. Performance-Based Signal SelectionObjective: Determine the most profitable signal group from Titan Fusion (TF), Quantum Leap (QL), Nebula Drift (ND), and Vortex Sync (VSY).
Process: The indicator performs real-time performance testing across seven timeframes. The bottom-right performance table calculates profit percentages, allowing traders to select the highest-yielding strategy based on historical performance (e.g., prioritize TF if it outperforms on the 1-hour timeframe).
Implementation: Enable desired signal groups via input settings and analyze the performance metrics to guide your strategy selection.
2. Entry Signal Visualization and ConfirmationObjective: Provide clear, actionable visual cues for trade execution.
Process: After identifying the best-performing signal group, activate the corresponding visualization (e.g., showBuySell1 for TF). Buy (🚀) and sell (🔨) labels appear on the chart for real-time signal tracking.
Implementation: Use these labels to confirm entry points in alignment with the chosen strategy.
3. Signal Group Mechanics
Titan Fusion (TF): Generates buy signals when the Laguerre RSI crosses above a threshold (e.g., 0.70 or EMA-based level) and at least two of the following conditions are met: Bull Bear Power is positive, Waddah Attar Explosion indicates an upward trend, and RSI shows a bullish crossover. Sell signals occur when the opposite conditions align.
Quantum Leap (QL): Produces buy signals based on a bullish RSI crossover, with a stop-loss triggered if price falls below a 1% threshold from the entry. Sell signals are activated when the stop-loss is hit or RSI indicates a bearish crossover.
Nebula Drift (ND): Creates buy signals when the price crosses above the Gaussian Moving Average (GMA), reflecting a momentum shift. Sell signals are triggered when the price falls below the GMA, indicating a potential reversal.
Vortex Sync (VSY): Generates buy signals when the Laguerre RSI crosses above specific low thresholds (0.1, 0.2, 0.3) and the adaptive GMA shows a bearish crossover, suggesting a reversal to bullish momentum. Sell signals occur with high RSI thresholds (0.7, 0.8, 0.9) and a bullish GMA crossover.
4. Multi-Indicator Entry Validation
Dynamic Fibo-Donchian Channels: Employs Fibonacci-based Donchian Channels to define support and resistance. Long entries are validated near Bottom Donchian or Low .786 levels, while Short entries target Top Donchian or High .786 levels.
Smart Money Concepts: Integrates market structure analysis via premium and discount zones. Long trades are confirmed within the discount zone (trailing.bottom), and Short trades within the premium zone (trailing.top).
Divergence for Many Indicators: Enhances timing precision with divergence detection. A bullish divergence (pos_reg_div_detected) supports Long entries, while a bearish divergence (neg_reg_div_detected) confirms Short entries.
Elite Trend Fusion: Uses SMA (50, 100, 200) and VWAP to assess trend direction and key support/resistance. Long entries require price above SMA levels and VWAP support; Short entries need price below SMA levels and VWAP resistance.
5. Signal Production IntegrationThe Galactic Profit Engine synthesizes signals from its diverse components for robust trade decisions. Each signal group (TF, QL, ND, VSY) generates independent buy/sell signals based on proprietary logic (e.g., RSI crossovers, GMA trends). These are then cross-validated with Fibo-Donchian levels, Smart Money zones, Divergence signals, and Elite Trend Fusion trends. The performance testing framework dynamically prioritizes the most effective signal group, ensuring a cohesive and adaptive signal production process tailored to market conditions.
6. Trade Execution and Risk Management
Long Entry:
Conditions: Price is at or near Bottom Donchian or Low .786, within the discount zone (trailing.bottom), a bullish divergence is active, the selected signal group triggers a buy (e.g., BUY_TF), and price is above SMA 50/200 with VWAP as support.
Execution: Open a Long position upon confirmation. Set the stop loss at stopLossPrice (input-based percentage) and target Top Donchian or Premium Zone for take-profit.
Monitoring: Track SMA/VWAP interactions and adjust exits based on market trends.
Short Entry:
Conditions: Price is at or near Top Donchian or High .786, within the premium zone (trailing.top), a bearish divergence is active, the selected signal group triggers a sell (e.g., SELL_TF), and price is below SMA 50/200 with VWAP as resistance.
Execution: Open a Short position upon confirmation. Set the stop loss at stopLossPrice and target Bottom Donchian or Discount Zone for take-profit.
Monitoring: Monitor SMA/VWAP dynamics and optimize exits accordingly.
7. Performance Optimization and Exit Strategy
Performance Review: Regularly assess the performance table to adapt the signal group to evolving market conditions.
Exit Strategy: Employ the built-in stop loss for risk management.
Use Top Donchian/Bottom Donchian or premium/discount zone boundaries as take-profit levels based on trade direction.
Alert Utilization: Configure Alert Conditions to receive notifications for buy/sell signals, enabling proactive trade management.
Strategic Advantages:
Empirical Precision: Performance testing ensures decisions are grounded in data, minimizing guesswork.
Holistic Market Insight: Combines Fibo-Donchian, Smart Money Concepts, Divergence, and Elite Trend Fusion for a comprehensive analysis.
Flexibility: Customizable inputs allow adaptation to various assets and timeframes.
Dynamic Adaptability: Real-time signal prioritization and trend confirmation facilitate rapid market responses.
How to Use:Enable the signal groups and timeframes to test via input settings.
Analyze the performance table (bottom-right) to select the best signal group.
Monitor chart signals, zones, and trend confirmations to execute trades.
Set alerts using the Alert Conditions feature for timely notifications.
Disclaimer: This is not financial advice. Please consult a professional financial advisor and trade with caution. Special thanks to LuxAlgo, ClassicScott, and LonesomeTheBlue for their inspirational contributions to this indicator.
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ATR Stop-Loss with Fibonacci Take-Profit [jpkxyz]ATR Stop-Loss with Fibonacci Take-Profit Indicator
This comprehensive indicator combines Average True Range (ATR) volatility analysis with Fibonacci extensions to create dynamic stop-loss and take-profit levels. It's designed to help traders set precise risk management levels and profit targets based on market volatility and mathematical ratios.
Two Operating Modes
Default Mode (Rolling Levels)
In default mode, the indicator continuously plots evolving stop-loss and take-profit levels based on real-time price action. These levels update dynamically as new bars form, creating rolling horizontal lines across the chart. I use this mode primarily to plot the rolling ATR-Level which I use to trail my Stop-Loss into profit.
Characteristics:
Levels recalculate with each new bar
All selected Fibonacci levels display simultaneously
Uses plot() functions with trackprice=true for price tracking
Custom Anchor Mode (Fixed Levels)
This is the primary mode for precision trading. You select a specific timestamp (typically your entry bar), and the indicator locks all calculations to that exact moment, creating fixed horizontal lines that represent your actual trade levels.
Characteristics:
Entry line (blue) marks your anchor point
Stop-loss calculated using ATR from the anchor bar
Fibonacci levels projected from entry-to-stop distance
Lines terminate when price breaks through them
Includes comprehensive alert system
Core Calculation Logic
ATR Stop-Loss Calculation:
Stop Loss = Entry Price ± (ATR × Multiplier)
Long positions: SL = Entry - (ATR × Multiplier)
Short positions: SL = Entry + (ATR × Multiplier)
ATR uses your chosen smoothing method (RMA, SMA, EMA, or WMA)
Default multiplier is 1.5, adjustable to your risk tolerance
Fibonacci Take-Profit Projection:
The distance from entry to stop-loss becomes the base unit (1.0) for Fibonacci extensions:
TP Level = Entry + (Entry-to-SL Distance × Fibonacci Ratio)
Available Fibonacci Levels:
Conservative: 0.618, 1.0, 1.618
Extended: 2.618, 3.618, 4.618
Complete range: 0.0 to 4.764 (23 levels total)
Multi-Timeframe Functionality
One of the indicator's most powerful features is timeframe flexibility. You can analyze on one timeframe while using stop-loss and take-profit calculations from another.
Best Practices:
Identify your entry point on execution timeframe
Enable "Custom Anchor" mode
Set anchor timestamp to your entry bar
Select appropriate analysis timeframe
Choose relevant Fibonacci levels
Enable alerts for automated notifications
Example Scenario:
Analyse trend on 4-hour chart
Execute entry on 5-minute chart for precision
Set custom anchor to your 5-minute entry bar
Configure timeframe setting to "4h" for swing-level targets
Select appropriate Fibonacci Extension levels
Result: Precise entry with larger timeframe risk management
Visual Intelligence System
Line Behaviour in Custom Anchor Mode:
Active levels: Lines extend to the right edge
Hit levels: Lines terminate at the breaking bar
Entry line: Always visible in blue
Stop-loss: Red line, terminates when hit
Take-profits: Green lines (1.618 level in gold for emphasis)
Customisation Options:
Line width (1-4 pixels)
Show/hide individual Fibonacci levels
ATR length and smoothing method
ATR multiplier for stop-loss distance
SMA Strategy Builder: Create & Prove Profitability📄 Pine Script Strategy Description (For Publishing on TradingView)
🎯 Strategy Title:
SMA Strategy Builder: Create & Prove Profitability
✨ Description:
This tool is designed for traders who want to build, customize, and prove their own SMA-based trading strategies. The strategy tracks capital growth in real-time, providing clear evidence of profitability after each trade. Users can adjust key parameters such as SMA period, take profit levels, and initial capital, making it a flexible solution for backtesting and strategy validation.
🔍 Key Features:
✅ SMA-Based Logic:
Core trading logic revolves around the Simple Moving Average (SMA).
SMA period is fully adjustable to suit various trading styles.
🎯 Customizable Take Profit (TP):
User-defined TP percentages per position.
TP line displayed as a Step Line with Breaks for clear segmentation.
Visual 🎯TP label for quick identification of profit targets.
💵 Capital Tracking (Proof of Profitability):
Initial capital is user-defined.
Capital balance updates after each closed trade.
Shows both absolute profit/loss and percentage changes for every position.
Darker green profit labels for better readability and dark red for losses.
📈 Capital Curve (Performance Visualization):
Capital growth curve available (hidden by default, can be enabled via settings).
📏 Dynamic Label Positioning:
Label positions adjust dynamically based on the price range.
Ensures consistent visibility across low and high-priced assets.
⚡ How It Works:
Long Entry:
Triggered when the price crosses above the SMA.
TP level is calculated as a user-defined percentage above the entry price.
Short Entry:
Triggered when the price crosses below the SMA.
TP level is calculated as a user-defined percentage below the entry price.
TP Execution:
Positions close immediately once the TP level is reached (no candle close confirmation needed).
🔔 Alerts:
🟩 Long Signal Alert: When the price crosses above the SMA.
🟥 Short Signal Alert: When the price crosses below the SMA.
🎯 TP Alert: When the TP target is reached.
⚙️ Customization Options:
📅 SMA Period: Choose the moving average period that best fits your strategy.
🎯 Take Profit (%): Adjust TP percentages for flexible risk management.
💵 Initial Capital: Set the starting capital for realistic backtesting.
📈 Capital Curve Toggle: Enable or disable the capital curve to track overall performance.
🌟 Why Use This Tool?
🔧 Flexible Strategy Creation: Adjust core parameters and create tailored SMA-based strategies.
📈 Performance Proof: Capital tracking acts as real proof of profitability after each trade.
🎯 Immediate TP Execution: No waiting for candle closures; profits lock in as soon as targets are hit.
💹 Comprehensive Performance Insights: Percentage-based and absolute capital tracking with dynamic visualization.
🏦 Clean Visual Indicators: Strategy insights made clear with dynamic labeling and adjustable visuals.
⚠️ Disclaimer:
This script is provided for educational and informational purposes only. Trading financial instruments carries risk, and past performance does not guarantee future results. Always perform your own due diligence before making any trading decisions.
High-Low Breakout Strategy with ATR traling Stop LossThis script is a TradingView Pine Script strategy that implements a High-Low Breakout Strategy with ATR Trailing Stop.created by SK WEALTH GURU, Here’s a breakdown of its key components:
Features and Functionality
Custom Timeframe and High-Low Detection
Allows users to select a custom timeframe (default: 30 minutes) to detect high and low levels.
Tracks the high and low within a user-specified period (e.g., first 30 minutes of the session).
Draws horizontal lines for high and low, persisting for a specified number of days.
Trade Entry Conditions
Long Entry: If the closing price crosses above the recorded high.
Short Entry: If the closing price crosses below the recorded low.
The user can choose to trade Long, Short, or Both.
ATR-Based Trailing Stop & Risk Management
Uses Average True Range (ATR) with a multiplier (default: 3.5) to determine a dynamic trailing stop-loss.
Trades reset daily, ensuring a fresh start each day.
Trade Execution and Partial Profit Taking
Stop-loss: Default at 1% of entry price.
Partial profit: Books 50% of the position at 3% profit.
Max 2 trades per day: If the first trade hits stop-loss, the strategy allows one re-entry.
Intraday Exit Condition
All positions close at 3:15 PM to ensure no overnight risk.
HMA Buy Sell Signals - Profit ManagerNote : Settings should be adjusted according to the selected time frame. Try to find the best setting according to the profitability rate
Overall Functionality
This script combines several trading tools to create a comprehensive system for trend analysis, trade execution, and performance tracking. Users can identify market trends using specific moving averages and RSI indicators while managing profit and loss levels automatically.
Trend Detection and Trade Signals
Hull Moving Averages (HMA):
Two HMAs (a faster one and a slower one) are used to determine the market trend.
A buy signal is generated when the faster HMA crosses above the slower HMA.
Conversely, a sell signal is triggered when the faster HMA crosses below the slower one.
Visual Feedback:
Trend lines on the chart change color to reflect the trend direction (e.g., green for upward trends and red for downward trends).
Trade Levels and Management
Entry, Take-Profit, and Stop-Loss Levels:
When the trend shifts upwards, the script calculates entry, take-profit, and stop-loss levels based on the opening price.
Similarly, for downward trends, these levels are determined for short trades.
Commission Tracking:
Each trade includes a commission cost, which is factored into net profit and loss calculations.
Dynamic Labels:
Entry, take-profit, and stop-loss levels are visually marked on the chart for easier tracking.
Performance Tracking
Profit and Loss Tracking:
The script keeps a running total of profits, losses, and commissions for both long and short trades.
It also calculates the net profit after all costs are considered.
Performance Table:
A table is displayed on the chart summarizing:
The number of trades.
Total profit and loss for long and short positions.
Commission costs.
Net profit.
Fractal Support and Resistance
Dynamic Lines:
The script identifies the most recent significant highs and lows using fractals.
It draws support and resistance lines that automatically update as new fractals form.
Simplified Visuals:
The chart always shows the last two support and resistance lines, keeping the visualization clean and focused.
RSI-Based Signals
Overbought and Oversold Levels:
RSI is used to identify overbought (above 80) and oversold (below 20) conditions.
The script generates buy signals at oversold levels and sell signals at overbought levels.
Chart Indicators:
Arrows and labels appear on the chart to highlight these RSI-based opportunities.
Customization
The script allows users to customize key parameters such as:
Moving average lengths for trend detection.
Take-profit and stop-loss percentages.
Timeframes for backtesting.
Starting capital and commission rates.
Conclusion
This script is a versatile tool for traders, combining trend detection, automated trade management, and visual feedback. It simplifies decision-making by providing clear signals and tracking performance metrics, making it suitable for both beginners and experienced traders.
* The most recently drawn fractals represent potential support and resistance levels. If the price aligns with these levels at the time of entering a trade, it may indicate a likelihood of reversal. In such cases, it’s advisable to either avoid entering the trade altogether or proceed with increased caution.
SMB MagicSMB Magic
Overview: SMB Magic is a powerful technical strategy designed to capture breakout opportunities based on price movements, volume spikes, and trend-following logic. This strategy works exclusively on the XAU/USD symbol and is optimized for the 15-minute time frame. By incorporating multiple factors, this strategy identifies high-probability trades with a focus on risk management.
Key Features:
Breakout Confirmation:
This strategy looks for price breakouts above the previous high or below the previous low, with a significant volume increase. A breakout is considered valid when it is supported by strong volume, confirming the strength of the price move.
Price Movement Filter:
The strategy ensures that only significant price movements are considered for trades, helping to avoid low-volatility noise. This filter targets larger price swings to maximize potential profits.
Exponential Moving Average (EMA):
A long-term trend filter is applied to ensure that buy trades occur only when the price is above the moving average, and sell trades only when the price is below it.
Fibonacci Levels:
Custom Fibonacci retracement levels are drawn based on recent price action. These levels act as dynamic support and resistance zones and help determine the exit points for trades.
Take Profit/Stop Loss:
The strategy incorporates predefined take profit and stop loss levels, designed to manage risk effectively. These levels are automatically applied to trades and are adjusted based on the market's volatility.
Volume Confirmation:
A volume multiplier confirms the strength of the breakout. A trade is only considered when the volume exceeds a certain threshold, ensuring that the breakout is supported by sufficient market participation.
How It Works:
Entry Signals:
Buy Signal: A breakout above the previous high, accompanied by significant volume and price movement, occurs when the price is above the trend-following filter (e.g., EMA).
Sell Signal: A breakout below the previous low, accompanied by significant volume and price movement, occurs when the price is below the trend-following filter.
Exit Strategy:
Each position (long or short) has predefined take-profit and stop-loss levels, which are designed to protect capital and lock in profits at key points in the market.
Fibonacci Levels:
Fibonacci levels are drawn to identify potential areas of support or resistance, which can be used to guide exits and stop-loss placements.
Important Notes:
Timeframe Restriction: This strategy is designed specifically for the 15-minute time frame.
Symbol Restriction: The strategy works exclusively on the XAU/USD (Gold) symbol and is not recommended for use with other instruments.
Best Performance in Trending Markets: It works best in trending conditions where breakouts occur frequently.
Disclaimer:
Risk Warning: Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and make informed decisions before trading.
TradeMaster SignalsTrading effectively requires a range of techniques, experience, and expertise. From technical analysis to market fundamentals, traders must navigate multiple factors, including market sentiment and economic conditions. However, traders often find themselves overwhelmed by market noise, making it challenging to filter out distractions and make informed decisions. To address this, we present a powerful indicator package designed to assist traders on their journey to success.
The TradeMaster indicator package encompasses a variety of trading strategies, including the SMC (Supply, Demand, and Price Action) approach, along with many other techniques. By leveraging concepts such as price action trading, support and resistance analysis, supply and demand dynamics, these indicators can empower traders to analyze entry and exit positions with precision. Unlike other forms of technical analysis that produce values or plots based on historical price data, Price Action brings you the facts straight from the source - the current price movements.
The indicator package consists of three powerful indicators that can be used individually or together to maximize trading effectiveness.
⭐ About the Signals Indicator
This indicator offers a unique opportunity for traders to design their own personalized trading strategy. It has a built-in backtesting system, which allows you to thoroughly analyze the performance of your strategy before implementing it in live trading. With the ability to customize and test your strategy using historical data, the Signals indicator empowers you to make data-driven decisions and refine your trading approach.
👉 How does it work?
The Signals indicator provides users with the ability to select trigger conditions and further narrow them down using confirmations.
Conditions are quantitative factors that influence the generation of signals on the chart and in the backtest table. You can enable multiple conditions to create a comprehensive set of criteria for signal generation.
Confirmations, on the other hand, are qualitative factors that selectively filter out conditions based on their alignment with the chosen confirmations. This helps refine the signals and provide more targeted trading opportunities. Multiple confirmations can be enabled to further enhance the precision of the signals.
A well-balanced strategy in the Signals indicator involves carefully selecting a combination of conditions and confirmations to generate accurate trading signals. Finding the right balance between them is crucial for consistent and profitable trading.
To offer even more flexibility, the Signals indicator includes two powerful main functions:
Target Placement System: This feature allows you to set up to 6 targets with a stop loss level and partial exit percentages. You can choose between automatic target creation or manual customization, giving you control over your profit targets.
Exit Strategy: With this feature, you can define your preferred trailing stop strategy, allowing you to implement a systematic approach to exiting trades. By setting appropriate trailing stop levels, you can limit potential losses, while the system secures profits by automatically closing positions partially when certain price targets are reached. This may help you to maintain discipline in your trading and optimize your risk-reward ratio.
With over 30 unique conditions, 10 confirmations, and the deep Target Placement and Exit Strategy systems, the Signals indicator offers a vast array of possibilities. In fact, there are potentially millions of different strategy outputs available for each ticker. Despite its complexity, the script remains lightweight and fast, ensuring smooth performance.
The Signals Backtest table provides a comprehensive overview of your strategy's performance. You can track your current position with all the necessary details, allowing you to monitor your trades effectively and make informed decisions based on the backtest results.
⚠️ WARNING!
Backtest results do not guarantee future performance. Strategies tested on synthetic data may not accurately represent real-world results. Testing should be conducted on charts that reflect actual closing prices.
The indicator displays buy/sell signals intended to support traders' analysis. There are numerous possibilities and combinations available to create your own unique strategies, whether trading with or against the trend or capturing oversold bounces. These are just a few of the many options! Our indicator can easily be tailored to fit your trading strategy.
The settings that influence the signal-generating algorithm play a crucial role in effectively utilizing the signals. We provide users with the flexibility to modify the settings to align with their trading style, while also offering simple adjustment methods using various techniques.
Each method for modifying the signal settings has been designed to meet specific user needs. It is important to understand that one method is not necessarily more accurate than another.
It is essential to understand that signal indications generally serve as trend confirmations, rather than direct entry and exit points. Focusing on the easy use of signal settings and utilizing other functionalities in our toolkit will likely be a better decision than attempting to find the "holy grail" of optimized signal settings and solely relying on following the signals.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
SUPPORT RESISTANCE STRATEGY [5MIN TF]A SUPPORT RESISTANCE BREAKOUT STRATEGY for 5 minute Time-Frame , that has the time condition for Indian Markets
The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) Price crosses above Resistance Level ,indicated by Red Line, is a Long condition.
2) Price crosses below Support Level ,indicated by Green Line , is a Short condition.
3) Candle high crosses above ema1, is a part of the Long condition .
4) Candle low crosses below ema1, is a part of the Short condition .
5) Volume Threshold is an added confirmation for long/short positions.
6) Maximum Risk per trade for the intraday trade can be changed .
7) Default qty size is set to 50 contracts , which can be changed under settings → properties → order size.
8) ATR is used for trailing after entry, as mentioned in the inputs below.
// ═════════════════════════//
// ————————> INPUTS <————————— //
// ═════════════════════════//
→ L_Bars ———————————> Length of Resistance / Support Levels.
→ R_Bars ———————————> Length of Resistance / Support Levels.
→ Volume Break ———————> Volume Breakout from range to confirm Long/Short position.
→ Price Cross Ema —————> Added condition as explained above (3) and (4).
→ ATR LONG —————————> ATR stoploss trail for Long positions.
→ ATR SHORT ————————> ATR stoploss trail for Short positions.
→ RISK ————————————> Maximum Risk per trade intraday.
The strategy was back-tested on TCS ,the input values and the results are mentioned under "BACKTEST RESULTS" below.
// ═════════════════════════ //
// ————————> PROPERTIES<——————— //
// ═════════════════════════ //
Default_qty_size ————> 50 contracts , which can be changed under
Settings
↓
Properties
↓
Order size
// ═══════════════════════════════//
// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the script , Add it → click on ' { } ' → Pine editor→ making it a copy [right top corner} → Edit the line 27.
The Indian Markets open at 9:15am and closes at 3:30pm.
The 'time_cond' specifies the time at which Entries should happen .
"Close All" function closes all the trades at 3pm , at the open of the next candle.
To change the time to close all trades , Go to Pine Editor → Edit the line 92 .
All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 100 CLOSED TRADES )<————————— //
// ═══════════════════════════════════════════════ //
INPUTS can be changed for better Back-Test results.
The strategy applied to NSE:TCS ( 5 min Time-Frame and contract size 50) gives us 60% profitability , as shown below
It was tested for a period a 6 months with a Profit Factor of 1.8 ,net Profit of 30,000 Rs profit .
Sharpe Ratio : 0.49
Sortino Ratio : 1.4
The graph has a Linear Curve with Consistent Profits.
The INPUTS are as follows,
1) L_Bars —————————> 4
2) R_Bars —————————> 4
3) Volume Break ————> 5
4) Price Cross Ema ——> 100
5) ATR LONG ——————> 2.4
6) ATR SHORT —————> 2.6
7) RISK —————————> 2000
8) Default qty size ——> 50
NSE:TCS
Save it to favorites.
Apply it to your charts Now !!
Thank You ☺ NSE:TCS
Cava Signals Backtesting/VisualizerPLEASE READ THE DESCRIPTION CAREFULLY
Trying this again, as it seems I keep violating the rules unintentionally. Moderator, please forgive me as I try to make this right.
This backtesting/visualizer script was created for me to get a visual idea of the Cava Signals indicator throughout its development time and continuous optimization.
This script is to be used on the 30-minute timeframe on supported markets, and whether I can only publish strategies on regular candles, the indicator is meant to trigger on heikin ashi candles.I understand backtesting on non-regular candles produces unrealistic results, but I emphasize that this script is more for visualization purposes rather than accurate $ amounts from the trades. The signals are used along with a dedicated bot configuration, so part of the strategy is not managed by the script, but by the bot's config.
Some behind the scenes on what we are looking at:
a combination of ema and sma crosses on different time frames (5m, 15m, 30m, 60m and 90m) - we call this the wave trend
a combination of stochastic rsi on different time frames (10m, 30m)
a combination of schaff trend cycles on different time frames (5m, 20m and 30m)
a combination of money flow index on different time frames (10m and 30m)
volume information for each supported market/pair
and a couple of other info particular to each pair
With the above combination of data points, we try to optimize our strategy for an entry, for dca'ing down in case the coin goes down as well as dca'ing up to maximize profit when a coin is going up, take profit levels when we recognize a good time to do so, and of course, a closing level. I would like to emphasize the *visualization* purpose of this script in recognizing lows, highs, and market structure to identify the important levels to signal - this script is NOT to be used for accurate backtesting, but for an idea of the overall performance of when signals are triggered.
Let me try to explain the workflow and icons you see on the chart:
The colored circles on the bottom of the chart are all buy signals; each color corresponds to a particular buy signal, we have a combination of 9 possible situations that would trigger a buy signal. Some would trigger a buy signal only in combination with other buy signals or other indicators within the script. we also display a green upwards arrow below bars when a buy signal is triggered.
The colored arrows pointing down on the top of the chart are close signals. We have a combination of 5 closing criteria each color corresponds to one, just like the buy signals do. We only close a trade in profit. If not in profit, we will look to DCA down.
DCA signals are shown by the green flag above bars. they are signals to DCA up or down depending on the trade being negative or positive. DCA'ing up or down is also managed by the bot's configuration for limits on when to accept the signal.
Take Profit levels are shown by the green diamond above bars and work in conjunction with the bot's config on when to take the signal if at all and other take profit levels. Usually, when we hit the first take profit level we move our stop loss to entry via the bot's take profit safety feature. You can see this call with the close entry named TPS .
The black bars you may see on the chart is to illustrate when the market is extended based on a particular strategy. During this period we will not trigger a buy signal unless there is a huge spike in positive volume .
The green number below the bars is the total positive delta volume on the buy candles.
On the table on the right upper corner, we show some information on the market and performance of the backtesting - for visualization purposes only!
Currently, the script is tailored to work with the following markets/pairs:
Binance Spot: ADA, ALGO, ATOM, AVAX, BNB, BTC , DOT, ETH, LINK, LUNA, MATIC, SOL, VET, XRP, XTZ
Binance Futures: BTC , ETH, ADA, ALGO, ATOM, BNB, COMP, DOT, ENJ , LINK, OCEAN, OMG, SOL, VET, XMR, XRP, XTZ, AVAX, AAVE, DOGE, LTC, LUNA, MKR , NEAR, ONT, RUNE, SUSHI, LTC, XLM , COMP, ONT, THETA, FTM , EGLD , WAVES, ONE, HTN , CHZ , HOT, MANA, CRV , RVN, BAT, ANKR, 1INCH, ALICE, ATA , AXS , CHR , COTI, NKN , RAY, REN, SRM , SXP , TLM
ByBit Inverse Perpetual: BTCUSD , ETHUSD
ByBit Futures: AAVE, ADA, ALGO, AVAX, AXS , BNB, BTC , DOT, ETH, LINK, LTC, MATIC, SOL, SUSHI, UNI , XEM, XRP, XTZ
The chosen pairs are subject to change based on the best-performing assets we are constantly analyzing.
I hope this helps to understand the script, its purpose and ideas. I hope this satisfies the community rules - it was not my intention to break them - if there's anything on the above or the script that still violates the guidelines, please let me know and accept my apologies in advance.
If anyone would like to know more, let me know in the comment section.
Thank you!
Swing trade - Libertus - STRATEGYHello all.
Month of hard work, testing and fine tunning went into making of this strategy.
I wanted to be able to leave trading to bot and spend more time away from charts and this strategy finally enabled me to do just that!
It's a swing trade strategy which will always keep you in trade (if used on exchange which allows you to short).
If you use 4H time frame you'll get about 2-3 trades a week.
As you should be able to see bellow, strategy has very good profitability of 60+% in last 6 months with small drag-down and nice profits.
It's optimized for ETH on 4H time, but settings can be adapted for different assets and time frames.
Best settings for ETH 4H time frame are default 0/0 with both Filter 1 and Filter 2 enabled.
Settings can be changed in positive +1, +2, +3 etc., and negative -1, -2, -3...
Strategy profitability is based on buying and selling 10 ETH (not more, not less) in every trade. You can see +20 or -20 on every trade which means 10 ETH for closing current position and 10 ETH for opening new position. If you are trading more or less then this, you can easily calculate your profitability via this.
Indicator which could be used manually or via bot is in production, will be finished soon!
Good luck trading!
ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+AlertsThis is an all-in-one indicator with alerts that most people call signals and it's designed for Cryptocurrency leverage trading. This indicator features, the most popularly used indicators in technical analysis and are the basic technical analysis indicators any successful trader should master before going into more advanced technical analysis tool. The ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts features the Bollinger Bands, Relative Strength Index, Stochastic RSI and Stochastic Oscillator, and it was designed for use with ProfitTrailer V2 and can also be used with all other trading bots or on its own as a powerful market leveraging and trading indicator using alerts.
The ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts can be customized to any trader specific trading patterns and offers the ability to choose a combination of indicators from the featured ones to use. With the Buy and Sell Signal feature, trading on any cryptocurrency exchange can be automated and with the alerts feature, the ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts will automated buying and selling signals for any crypto trading bot but I'll always recommend using for making buys only when using with any bot. This indicator/script can be used with any base pair; BTC, ETH, and USD or USDT.
As mentioned above, all four indicators can be combined to find a very safe and secure buy and profitable sell signals, which maximizes your profit margins and overall earnings over time. Also, 2 or 3 could be combined as well, depending on the traders knowledge on how to use each indicator independently to find its best settings. My recommendation would be to test all independently and or together with very little capital to find what works best for you. I recommend this because the cryptocurrency market in a very volatile market and unpredictable, some combination of indicators would work for some certain coin pairs and not all, while others would work better with a different setting and a particular coin pair.
As with all script use at your own risk and only trade what you can afford to lose, while this indicator isn't designed to lose you money and I will not be held liable for any losses due to misuse. I am also not a financial advisor and the ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts will be made available soon as it's still undergoing rigorous testing.
SmartTrade - ALMCorpHello everyone! I’d like to introduce my creation—the Smart Trade indicator. I’ve identified certain patterns and discovered that specific moving averages, at certain deviations, can have a strong impact on price. So, what does this indicator do?
It uses the daily timeframe as the basis for displaying levels. For each cryptocurrency, a unique deviation coefficient is calculated for each level. Essentially, we take two deviation zones—the buy zone and the sell zone—treating them as 0 and 1, respectively. From there, we can plot internal levels based on the Fibonacci sequence.
To summarize:
The indicator displays two main zones (buy/sell).
It also shows internal Fibonacci levels, which exert strong influence on price movements.
For convenience, each level is marked with its corresponding numerical value.
Key Levels for Altcoins: The 0.25–0.5 Range and Imbalance
For many altcoins, the most critical levels are 0.25 and 0.5. Prices tend to stay within this range most of the time—breaking beyond these levels signals a market imbalance, which is usually short-lived.
Example Scenario:
Normal Movement: Price moves between 0.25 (support) and 0.5 (resistance).
Downside Break (Imbalance): If price falls below 0.25 into the buy zone (green area), the failure to hold 0.25 creates a strong imbalance. This typically forces price back up into its usual range.
Upside Break (Imbalance): Similarly, if price breaks above 0.5 (e.g., reaching 0.75), this also creates imbalance, and price tends to revert back down into its standard range.
Conclusion:
Most altcoins trade primarily between 0.25 and 0.5.
A breakout in either direction usually results in a temporary imbalance, which the market quickly corrects.
By recognizing these patterns, we can make more informed trading decisions.
Visualizing Imbalances – From Small to Large
In the chart above, I’ve highlighted all imbalances, ranging from minor to major.
Why This Indicator is Perfect for Spot Trading
I’ve developed a trading strategy for this indicator that displays:
Buy signals (with entry zones)
Average entry price
Sell signals
How the Buy Signals Work:
BUY 1 – Triggered when price touches the upper boundary of the buy zone.
BUY 2 – Activated when price reaches the middle of the buy zone.
BUY 3 – Executed when price tests the lower boundary of the buy zone.
This structured approach ensures you capitalize on optimal entry points while managing risk.
Understanding the Average Entry Line & Profit-Taking System
You may have noticed an additional line on the chart above, displayed alongside the buy signals. This is the average entry line, which represents your mean entry price—calculated based on executing equal-sized purchases at each buy signal (BUY 1, BUY 2, BUY 3).
Where to Sell? Smart Profit-Taking Rules
While precise entries are critical, knowing when to exit is equally important. Here’s how the system works:
Primary Take-Profit Level (0.375)
Historically, this level offers the optimal balance for quick profit-taking.
Adaptive Exit Strategy
If the position is unprofitable by the time of closure, the system automatically shifts the exit to the next higher level (0.5).
This ensures you lock in greater gains when the market favors your trade.
Advanced Performance Tracking & Asset Selection
The indicator provides comprehensive trade analytics, displayed in the bottom-right information panel:
Trade count tracking (total number of executed trades)
Cumulative profitability (combined returns across all trades)
Average profitability per trade (total returns ÷ trade count)
How to Leverage This Data
These metrics allow you to:
Identify high-potential assets
Example: Asset A shows 5% average profit/trade vs. Asset B with 40% → prioritize Asset B for spot trading.
Filter for optimal volatility
Higher average profitability often correlates with stronger momentum/volatility.
Multi-Market Utility
While designed for spot trading, the indicator’s imbalance detection (described earlier) also works for:
Futures market analysis
Entry point identification
Best Profitable Hours Strategy with TP/SL Core Concept:
Trades only during historically most profitable market hours (based on specified lookback period)
Input Parameters:
Lookback period (5-30+ days)
Number of top profitable hours to trade (1-6)
Long/short trade enable/disable
Customizable TP/SL percentages
Data Processing:
Tracks hourly returns in 24-element arrays
Resets calculations daily at market close
Ranks hours by profitability using array sorting
Trading Logic:
Entries only during top-performing hours
Position sizing: 100% margin allocation
Automatic exit at end of each trading hour
0.1% commission per trade
Risk Management:
Percentage-based take profit orders
Percentage-based stop loss orders
Separate TP/SL for long and short positions
Visual Features:
Blue background highlighting best trading hours
Triangle markers for entry points
Real-time TP/SL level indicators (circles)
Color-coded signals (green=long, red=short)
Position Handling:
Prevents multiple entries in same hour
Closes all positions when best-hour window ends
Uses average entry price for TP/SL calculation
Optimization:
Adjustable historical analysis period
Customizable number of trading hours
Flexible TP/SL ratios
The strategy combines historical hour performance analysis with active trade management through TP/SL orders, providing visual feedback for trading decisions while maintaining strict hour-based position control
Marcel's Dynamic Profit / Loss Calculator for GoldOverview
This Dynamic Risk / Reward Tool for Gold is designed to help traders efficiently plan and manage their trades in the volatile gold market. This script provides a clear visualisation of trade levels (Entry, Stop Loss, Take Profit) while dynamically calculating potential profit and loss. It ensures gold traders can assess their positions with precision, saving time and improving risk management.
Key Features
1. Trade Level Visualisation:
Plots Entry (Blue), Stop Loss (Red), and Take Profit (Green) lines directly on the chart.
Helps you visualise and confirm trade setups quickly which is good for scalping and day trades.
2. Dynamic Risk and Reward Calculations:
Calculates potential profit and loss in real time based on user-defined inputs such as position size, leverage, and account equity.
Displays a summary panel showing risk/reward metrics directly on the chart.
3. Customisable Settings:
Allows you to adjust key parameters like account equity, position size, leverage, and specific price levels for Entry, Stop Loss, and Take Profit.
Defaults are dynamically generated for convenience but remain fully adjustable for flexibility.
How It Works
The script uses gold-specific conventions (e.g., 1 lot = 100 ounces, 1 pip = 0.01 price change) to calculate accurate risk and reward metrics.
It dynamically positions Stop Loss and Take Profit levels relative to the entry price, based on user-defined or default offsets.
A real-time summary panel is displayed in the bottom-right corner of the chart, showing:
Potential Profit: The monetary value if the Take Profit is hit.
Potential Lo
ss: The monetary value if the Stop Loss is hit.
How to Use It
1. Add the script to your chart on a gold trading pair (e.g., XAUUSD).
2. Input your:
Account equity.
Leverage.
Position size (in lots).
Desired En
try Price (default: current close price).
3. Adjust the Stop Loss and Take Profit levels to your strategy, or let the script use default offsets of:
500 pips below the Entry for Stop Loss.
1000 pips above the Entry for Take Profit.
4. Review the plotted levels and the summary panel to confirm your trade aligns with your risk/reward goals.
Why Use This Tool?
Clarity and Precision:
Provides clear trade visuals and financial metrics for confident decision-making.
Time-Saving:
Automates the calculations needed to evaluate trade risk and reward.
Improved Risk Management:
Ensures you never trade without knowing your exact potential loss and gain.
This script is particularly useful for both novice and experienced traders looking to enhance their risk management and trading discipline in the Gold market. Enjoy clearer trades at speed.
VIDYA ProTrend Multi-Tier ProfitHello! This time is about a trend-following system.
VIDYA is quite an interesting indicator that adjusts dynamically to market volatility, making it more responsive to price changes compared to traditional moving averages. Balancing adaptability and precision, especially with the more aggressive short trade settings, challenged me to fine-tune the strategy for a variety of market conditions.
█ Introduction and How it is Different
The "VIDYA ProTrend Multi-Tier Profit" strategy is a trend-following system that combines the VIDYA (Variable Index Dynamic Average) indicator with Bollinger Bands and a multi-step take-profit mechanism.
Unlike traditional trend strategies, this system allows for more adaptive profit-taking, adjusting for long and short positions through distinct ATR-based and percentage-based targets. The innovation lies in its dynamic multi-tier approach to profit-taking, especially for short trades, where more aggressive percentages are applied using a multiplier. This flexibility helps adapt to various market conditions by optimizing trade management and profit allocation based on market volatility and trend strength.
BTCUSD 6hr performance
█ Strategy, How it Works: Detailed Explanation
The core of the "VIDYA ProTrend Multi-Tier Profit" strategy lies in the dual VIDYA indicators (fast and slow) that analyze price trends while accounting for market volatility. These indicators work alongside Bollinger Bands to filter trade entries and exits.
🔶 VIDYA Calculation
The VIDYA indicator is calculated using the following formula:
Smoothing factor (𝛼):
alpha = 2 / (Length + 1)
VIDYA formula:
VIDYA(t) = alpha * k * Price(t) + (1 - alpha * k) * VIDYA(t-1)
Where:
k = |Chande Momentum Oscillator (MO)| / 100
🔶 Bollinger Bands as a Volatility Filter
Bollinger Bands are calculated using a rolling mean and standard deviation of price over a specified period:
Upper Band:
BB_upper = MA + (K * stddev)
Lower Band:
BB_lower = MA - (K * stddev)
Where:
MA is the moving average,
K is the multiplier (typically 2), and
stddev is the standard deviation of price over the Bollinger Bands length.
These bands serve as volatility filters to identify potential overbought or oversold conditions, aiding in the entry and exit logic.
🔶 Slope Calculation for VIDYA
The slopes of both fast and slow VIDYAs are computed to assess the momentum and direction of the trend. The slope for a given VIDYA over its length is:
Slope = (VIDYA(t) - VIDYA(t-n)) / n
Where:
n is the length of the lookback period. Positive slope indicates bullish momentum, while negative slope signals bearish momentum.
LOCAL picture
🔶 Entry and Exit Conditions
- Long Entry: Occurs when the price moves above the slow VIDYA and the fast VIDYA is trending upward. Bollinger Bands confirm the signal when the price crosses the upper band, indicating bullish strength.
- Short Entry: Happens when the price drops below the slow VIDYA and the fast VIDYA trends downward. The signal is confirmed when the price crosses the lower Bollinger Band, showing bearish momentum.
- Exit: Based on VIDYA slopes flattening or reversing, or when the price hits specific ATR or percentage-based profit targets.
🔶 Multi-Step Take Profit Mechanism
The strategy incorporates three levels of take profit for both long and short trades:
- ATR-based Take Profit: Each step applies a multiple of the ATR (Average True Range) to the entry price to define the exit point.
The first level of take profit (long):
TP_ATR1_long = Entry Price + (2.618 * ATR)
etc.
█ Trade Direction
The strategy offers flexibility in defining the trading direction:
- Long: Only long trades are considered based on the criteria for upward trends.
- Short: Only short trades are initiated in bearish trends.
- Both: The strategy can take both long and short trades depending on the market conditions.
█ Usage
To use the strategy effectively:
- Adjust the VIDYA lengths (fast and slow) based on your preference for trend sensitivity.
- Use Bollinger Bands as a filter for identifying potential breakout or reversal scenarios.
- Enable the multi-step take profit feature to manage positions dynamically, allowing for partial exits as the price reaches specified ATR or percentage levels.
- Leverage the short trade multiplier for more aggressive take profit levels in bearish markets.
This strategy can be applied to different asset classes, including equities, forex, and cryptocurrencies. Adjust the input parameters to suit the volatility and characteristics of the asset being traded.
█ Default Settings
The default settings for this strategy have been designed for moderate to trending markets:
- Fast VIDYA Length (10): A shorter length for quick responsiveness to price changes. Increasing this length will reduce noise but may delay signals.
- Slow VIDYA Length (30): The slow VIDYA is set longer to capture broader market trends. Shortening this value will make the system more reactive to smaller price swings.
- Minimum Slope Threshold (0.05): This threshold helps filter out weak trends. Lowering the threshold will result in more trades, while raising it will restrict trades to stronger trends.
Multi-Step Take Profit Settings
- ATR Multipliers (2.618, 5.0, 10.0): These values define how far the price should move before taking profit. Larger multipliers widen the profit-taking levels, aiming for larger trend moves. In higher volatility markets, these values might be adjusted downwards.
- Percentage Levels (3%, 8%, 17%): These percentage levels define how much the price must move before taking profit. Increasing the percentages will capture larger moves, while smaller percentages offer quicker exits.
- Short TP Multiplier (1.5): This multiplier applies more aggressive take profit levels for short trades. Adjust this value based on the aggressiveness of your short trade management.
Each of these settings directly impacts the performance and risk profile of the strategy. Shorter VIDYA lengths and lower slope thresholds will generate more trades but may result in more whipsaws. Higher ATR multipliers or percentage levels can delay profit-taking, aiming for larger trends but risking partial gains if the trend reverses too early.
Trailing Take Profit - Close Based📝 Description
This script demonstrates a new approach to the trailing take profit.
Trailing Take Profit is a price-following technique. When used, instead of setting a limit order for the take profit target exiting from your position at the specified price, a stop order is conditionally set when the take profit target is reached. Then, the stop price (a.k.a trailing price), is placed below the take profit target at a distance defined by the user percentagewise. On regular time intervals, the stop price gets updated by following the "Trail Barrier" price (high by default) upwards. When the current price hits the stop price you exit the trade. Check the chart for more details.
This script demonstrates how to implement the close-based Trailing Take Profit logic for long positions, but it can also be applied for short positions if the logic is "reversed".
📢 NOTE
To generate some entries and showcase the "Trailing Take Profit" technique, this script uses the crossing of two moving averages. Please keep in mind that you should not relate the Backtesting results you see in the "Strategy Tester" tab with the success of the technique itself.
This is not a complete strategy per se, and the backtest results are affected by many parameters that are outside of the scope of this publication. If you choose to use this new approach of the "Trailing Take Profit" in your logic you have to make sure that you are backtesting the whole strategy.
⚔️ Comparison
In contrast to my older "Trailing Take Profit" publication where the trailing take profit implementation was tick-based, this new approach is close-based, meaning that the update of the stop price occurs at the bar close instead of every tick.
While comparing the real-time results of the two implementations is like comparing apples to oranges, because they have different dynamic behavior, the new approach offers better consistency between the backtesting results and the real-time results.
By updating the stop price on every bar close, you do not rely on the backtester assumptions anymore (check the Reasoning section below for more info).
The new approach resembles the conditional "Trailing Exit" technique, where the condition is true when the current price crosses over the take profit target. Then, the stop order is placed at the trailing price and it gets updated on every bar close to "follow" the barrier price (high). On the other hand, the older tick-based approach had more "tight" dynamics since the trailing price gets updated on every tick leaving less room for price fluctuations by making it more probable to reach the trailing price.
🤔 Reasoning
This new close-based approach addresses several practical issues the older tick-based approach had. Those issues arise mainly from the technicalities of the TV Backtester. More specifically, due to the assumptions the Broker Emulator makes for the price action of the history bars, the backtesting results in the TV Backtester are exaggerated, and depending on the timeframe, the backtesting results look way better than they are in reality.
The effect above, and the inability to reason about the performance of a strategy separated people into two groups. Those who never use this feature, because they couldn't know for sure the actual effect it might have in their strategy, (even if it turned out to be more profitable) and those who abused this type of "repainting" behavior to show off, and hijack some boosts from the community by boasting about the "fake" results of their strategies.
Even if there are ways to evaluate the effectiveness of the tick-based approach that is applied in an existing strategy (this is out of the topic of this publication), it requires extra effort to do the analysis. Using this closed-based approach we can have more predictable results, without surprises.
⚠️ Caveats
Since this approach updates the trailing price on bar close, you must wait for at least one bar to close after the price crosses over the take profit target.
Crypto Realized Profits/Losses Extremes [AlgoAlpha]🌟🚀 Introducing the Crypto Realized Profits/Losses Extremes Indicator by AlgoAlpha 🚀🌟
Unlock the potential of cryptocurrency markets with our cutting-edge On-Chain Pine Script™ indicator, designed to highlight extreme realized profit and loss zones! 🎯📈
Key Features:
✨ Realized Profits/Losses Calculation: Uses real-time data from the blockchain to monitor profit and loss realization events.
📊 Multi-Crypto Compatibility: The Indicator is compatible on other Crypto tickers besides Bitcoin.
⚙️ Customizable Sensitivity: Adjust the look-back period, normalization period, and deviation thresholds to tailor the indicator to your trading style.
🎨 Visual Enhancements: Choose from a variety of colors for up and down trends, and toggle extreme profit/loss overlay for easy viewing.
🔔 Integrated Alerts: Set up alerts for high and extreme profit or loss conditions, helping you stay ahead of significant market movements.
🔍 How to Use:
🛠 Add the Indicator: Add the indicator to favorites. Customize settings like period lengths and deviation thresholds according to your needs.
📊 Market Analysis: Monitor the main oscillator and the bands to understand current profit and loss extremes in the market. When the oscillator is at the upper band, this means that the market is doing really well and traders/investors will be likely to take profit and cause a reversal. The opposite is true when the oscillator reaches the lower band. The main oscillator can also be used for trend analysis.
🔔 Set Alerts: Configure alerts to notify you when the market enters a zone of high profit or loss, or during trend changes, enabling timely decisions without constant monitoring.
How It Works:
The indicator calculates a normalized area under the RSI curve applied on on-chain data regarding the number of wallets in profit. It employs a custom "src" variable that aggregates data from the blockchain about profit and loss addresses, adapting to intraday or longer timeframes as needed. The main oscillator plots this normalized area, while the upper and lower bands are plotted based on a deviation metric to identify extreme conditions. Colored fills between these bands visually denote these zones. For interaction, the indicator plots bubbles for extreme profits or losses and provides optional bar coloring to reflect the current market trend.
🚀💹 Enjoy a comprehensive, customizable, and visually engaging tool that helps you stay ahead in the fast-paced crypto market!
Net Unrealized Profit/Loss (NUPL)Indicator Overview
This indicator is derived from Market Value and Realized Value, which can be defined as:
Market Value: The current price of Bitcoin multiplied by the number of coins in circulation. This is like market cap in traditional markets i.e. share price multiplied by number of shares.
Realized Value: Rather than taking the current price of Bitcoin, Realized Value takes the price of each Bitcoin when it was last moved i.e. the last time it was sent from one wallet to another wallet. It then adds up all those individual prices and takes an average of them. It then multiplies that average price by the total number of coins in circulation.
By subtracting Realized Value from Market Value we calculate Unrealized Profit/Loss.
Unrealized Profit/Loss estimates the total paper profits/losses in Bitcoin held by investors. This is interesting to know but of greater value is identifying how this changes relatively over time.
To do this we can divide Unrealized Profit/Loss by Market Cap. This creates Net Unrealized Profit/Loss, sometimes referred to as NUPL, which is very useful to track investor sentiment over time for Bitcoin.
Relative Unrealised Profit/Loss is another name used for this analysis.
How To View The Chart
The key principle of this tool is in the ratio between market cap and Bitcoin investors taking profit.
When market cap rises much faster than profit taking we see that the market is overheating, one could say due to investor greed (red band). For the strategic investor such times have historically been favourable to take profit.
We can break down different percentages of Bitcoin Relative Unrealized Profit/Loss to determine what stage of the market we are in. This can be advantageous for the long term strategic investor.
Created By
Tamas Blummer, Tuur Demeester and Michiel Lescrauwaet
kaptanFantastik[Take Profit and Stop Loss Finder]Hello all,
It's ATR based active take profit & stop loss finder.
You can set multipliers for taking profit and stop losing and you can change the price source for the calculation. Also, you can change the ATR level.
Defaults are my best settings. 2.2x for taking profit and 1.5x for stop losing. Open price is the source. Also, I think 5 ATR is the best for day and swing trade.
Levels are determined according to the open prices (This is because we can enter the position after our other indicators give the signal following the close price. Yet, you can change it). Since it's active and based on my calculation with ATR values, percentages for the taking profits and stop losing may change. Because of this, you need to note the take profit and stop lose prices after your entry price level is determined by the other indicators for the best success rates.
It can be used in any time frame with the other indicators to determine the best entry points. For example, 3 EMA levels with 5,8 and 13 is good option for the entry. You can enter the position when 5 crosses up 8 and both are above the 13. You can also use custom more advanced buy/sell indicators with this one for entry points.
It can be used with any asset from cryptocurrency to the stocks, from forex to gold etc.
Hint: You can set your levels lower than the take profit prices to maximize the success rate.
Note: Market should be open for the positions.
Example trade on the 5-minute timeline.
The below chart has both my custom indicator and the 3 EMAs mentioned above.
Trade 1: Entry price: 19191, Take Profit: 19276. Profit 0.44%
Trade 2: Entry price: 19189, Take Profit: 193009. Profit 0.625%
Türkçe bilen kullanıcılar için açıklama
Herkese merhabalar,
ATR tabanlı aktif kar al ve zararı durdur bulucu.
Kar almak ve zararı kesmek için çarpanlar belirleyebilir ve hesaplama için fiyat kaynağı değiştirebilirsiniz. Ayrıca, ATR seviyesini de değiştirebilirsiniz.
Varsayılanlar benim en iyi ayarlarım. Kar almak için 2,2 kat ve zararı durdurmak için 1,5 kat. Açılış, fiyat kaynağıdır. Ayrıca, 5 ATR'nin günlük ve kısa vade (swing trade) için en iyisi olduğunu düşünüyorum.
Seviyeler açılış fiyatına göre belirlenir (Çünkü diğer göstergelerimiz kapanış fiyatının ardından sinyal verdikten sonra pozisyona girebiliyoruz. Yine de bunu değiştirebilirsiniz). Aktif olduğu için ve ATR değerleri ile yaptığım hesaplamaya göre kar alma ve zarar kes yüzdeleri değişebilir. Bu nedenle, en iyi başarı oranları için; giriş fiyat seviyeniz diğer göstergeler tarafından belirlendikten sonra kar al ve zararı durdur fiyatlarını not etmeniz gerekir.
En iyi giriş noktalarını belirlemek için diğer göstergelerle herhangi bir zaman diliminde kullanılabilir. Örneğin, 5,8 ve 13 ile 3 EMA seviyesi giriş için iyi bir seçenektir. 5, 8'i geçtiğinde ve her ikisi de 13'ün üzerinde olduğunda pozisyona girebilirsiniz. Giriş noktaları için bununla birlikte daha gelişmiş özel al/sat göstergelerini de kullanabilirsiniz.
Kripto paradan hisse senetlerine, forexten altına vb. her türlü varlıkla kullanılabilir.
İpucu: Başarı oranını en üst düzeye çıkarmak için seviyelerinizi kar alma fiyatlarından daha düşük ayarlayabilirsiniz.
Not: Pozisyonlar için piyasa açık olmalıdır.
5 dakikalık zaman çizilgesinde örnek işlem.
Yukarıdaki örnek grafikte hem özel indikatörüm hem de yukrıda belirtilen 3 EMA var.
İşlem 1: Giriş fiyatı: 19191, Kazanç Al: 19276. Kar %0.44
İşlem 2: Giriş fiyatı: 19189, Kazanç Al: 193009. Kar %0.625
T&M/E Wave V2Trend and Momentum With Exception Wave Indicator and Strategy:
This strategy is hand made and I have spent days and many hours making it. The strategy is meant to determine the power between buyers and sellers, match the current power with a historic trend (through a moving average statistical equation), and finally volatility (measured with a mix between standard deviation from Bollinger Bands and HPV). Below will be a list of how to determine the inputs for the indicator
**For reference, all numbers, and settings displayed on the input screen are only what I HAVE FOUND to be profitable for my own strategy, Yours will differ. This is not financial advice and I am not a financial advisor. Please do your due diligence and own research before considering taking entries based on this strategy and indicator. I am not advertising investing, trading, or skills untaught, this is simply to help incorporate into your own strategy and improve your trading journey!**
INPUTS:
EV: This is an integer value set to default at 55. This value is equated to the lead value, volatility measurement, and standard deviation between averages
EV 2: This integer is used as the base value and is meant to always be GREATER THEN EV, the default is set at 163. There should be at least a 90+ integer difference between EVs for data accuracy.
EV TYPE & EV TYPE 2: This option only affects the output for the moving average histograms. (and data inserted for strategy)
Volatility Smoothing: This is the smoothness of the custom-made volatility oscillator. I have this default at 1 to show time-worthy-term (3.9%+) moves or significant trends to correspond with the standard deviation declination between EVMA and EVMA2.
Directional Length: This is the amount of data observed per candle in the bull versus bear indicator.
Take Profit: Pre-set takes profit level that is set to 4 but can be adjusted for user experience.
Style:
Base Length: Columns equated using a custom-made statistical equation derived from EV TYPE 2+EV2 to determine a range of differential in historic averages to a micro-scale.
Lead Length: Columns equated using a custom-made statistical equation derived from EV TYPE+EV to determine a range of differential in historic averages to a micro-scale.
Weighted EMA Differential: Equation expressing the differences between exponential and simple averages derived from EV+EV Type 2. Default is displaying none, but optional for use if found helpful.
Volatility: Represents volatility from multiple data sets spanning from Bollinger bands to HPV and translated through smoothing.
Bull Strength: The strength of Bulls in the current trend is derived from a DMI+RSI+MACD equation to represent where the trend lies.
Bear Strength: The strength of Bears in the current trend is derived from a DMI+RSI+MACD equation to represent where the trend lies.
CHEAT CODE'S NOTES:
Do not use this indicator on high leverage. I have personally used this indicator for a week and faced a max of 8% drawdown, albeit painful I was on low leverage and still closed on my take profit level.
85% is not 100% do not overtrade using this indicator's entry conditions if you have made 4 consecutive profitable trades.
Mess around with the input values and let me know if you find an even BETTER hit rate, 30+ entries and a good drawdown!!
V2 UPGRADES:
*Increased Opacity on Bull Bear Columns
*Removed the Stop Loss Input option
*Decreased EV2 to a default of 143 for accuracy
*Added additional disclaimers in the description
* Removed Bull/Bear offset values for accuracy
-Cheat Code
BYBIT:BTCUSDT
Buy and Sell Signals (With Stops and TP) - No Repaint
This strategy is primarily based on the MACD-indicator, but signals are filtered with the 200 ema.
This indicator gives you for every trade a stopp loss and take profit line.
As with every other strategy risk management is key. The trades taken have all 1.5:1 risk ratios, so when you lose one trade and win one you are still in profit.
This will only work if you calculate your position size accordingly when actually trading!
Without leverage:
position_size = (portfolio * loss_per_trade) / (stop_loss_in_percent )
Leverage:
position_size = (portfolio * loss_per_trade) / (stop_loss_in_percent * leverage)
For example:
portfolio = 100000
loss_per_trade = 0.01 | I only want to lose 1% per trade
stop_loss_in_percent = 0.04 | The stoploss is 4% away from our entry
(100000 * 0.01) / 0.04 = 2500 => if this trade hits my stop, I will only lose 1 % of my portfolio.
This strategy works well with:
BTCUSD 30m
BANDUSDTPERP 5m
EUR DOLLAR 15m
Of course it can be applied to anything, but you should firstly validate the strategy via backtest for the according trading pair and timeframe as it can perform differenlty in various timeframes.
This script does not repaint.
If you are interested in this strategy dm me.
Good luck on your trades!
Y-Profit Maximizer Strategy with Exit PointsThis script based on KivancOzbilgic 's PMax indicator. I modified a bit. Added Filters, Exit (TP) Levels and few indicator in it. This script opening only Long Positions.
I have used this indicators in this strategy:
-Moving Stop Loss (Most) by ceyhun
-PMax Explorer STRATEGY & SCREENER
-Bollinger Bands on Macd
-Tillson T3 Moving Average by KIVANÇ fr3762
I am open to suggestions for improve this script.
PS: Script is in Turkish Language.
RSI on VWAP Upgraded strategyFirst of all, the idea of apply RSI to VWAP was inspired by XaviZ; at least, that where I first saw that.
I simply applied the idea and searched for apply this on lower timeframe (M15) to increase the number of positions and improve the profit factor.
The conditions to enter are the same :
long : enter on RSI crossover oversold level
short : enter on RSI crossunder oversell level
To close position, I found a little change to apply :
long : close position when RSI(VWAP) went in overbought zone and crossunder the overbought level OR after being at least x bars in the overbought zone (parameter is 28 by default) => when the first condition happens
short : close position when RSI(VWAP) went in oversold zone and crossover the oversold level OR after being at least x bars in the oversell zone (parameter is 28 by default) => when the first condition happens
With this change, I got better results specially on BTCUSDTPERP (M15) where I reach a 6.8 profit factor with 119 trades closed. Not BAD !
The defaults parameters are the best found for BTCUSDTPERP (M15), but the strategy works fine for other pairs if you take time to find the rights combinations.
In this strategy you can change (with defaults in () ):
RSI length (28)
RSI overbought level (85)
RSI oversell level (30)
Number of bars before leaving as explain above (28)
The choice to take longs only, shorts only or both
The number of coin/token by position
The start date for backtesting
Please note that the script use a pyramiding parameter of 3 (can be changed in the first line of the script); that means that you can take up to 3 positions before closing. It lets you improve average enter price but increase the risk. 3 is the best I found to improve profit factor without expose myself too much.
This script would be better if automated because of the conditions of buy and sell.
It's only for educative purpose, not an advice to invest.
All my free scripts here : fr.tradingview.com
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