The Copybot Details Page provides in-depth information about each trading bot.
This page helps you evaluate a Copybot's past performance, key metrics, and risk factors before using it.
Here's a comprehensive description of each section of the page.
🔍 Overview
Copybot Overview Section
On the Copybot Details page, you’ll see an overview section with the following details:
Overview Section Details
Last Updated: Time since details were last updated.
Follower Count: Shows how many users are currently using the bot.
Copybot Button: Click this to begin setting up the bot for trading.
Key Performance Metrics:
Net Profit: The total percentage profit or loss generated by the bot.
Win Rate: The percentage of trades that were profitable.
Total Closed Trades: The total number of completed trades (including backtesting).
Profit Factor: Ratio of gross profit to gross loss.
Max Drawdown: The largest peak-to-trough decline in percentage equity.
Incubation Delta: The difference between backtest and live trading results (lower is better).
📈 Performance Chart
Below the overview section, a performance chart visually compares backtest and live trading results.
The lime green line represents backtest results (simulated historical performance), while the bright purple line shows live trading results (actual trades executed).
The x-axis represents the number of trades, and the y-axis represents net profit as a percentage.
If the live trading curve closely follows the backtest curve, the strategy is performing consistently in real market conditions.
📈 Trades Per Day & Key Metrics
Below the Performance Chart, a bar chart displays the number of trades executed on each day of the week.
Next to it, a Key Performance Metrics section provides additional stats.
Full List of Key Performance Metrics and Explanations
First Traded Date: The date the bot started executing trades.
Sharpe Ratio: Measures return versus risk. A higher value indicates better risk-adjusted returns.
Sortino Ratio: Similar to the Sharpe ratio but only considers downside risk, making it a better measure for volatile markets.
Calmar Ratio: Evaluates returns in relation to maximum drawdown, helping assess risk-adjusted performance.
Longest DD Days: The longest period the bot has experienced a drawdown without recovering.
Volatility: Indicates how much the bot’s returns fluctuate, with higher values suggesting greater risk.
Skew: Measures the asymmetry of returns distribution. Positive skew means larger gains than losses, while negative skew indicates the opposite.
Kurtosis: Describes the tails of the return distribution. Higher values suggest more extreme outcomes.
Expected Daily Return: The average return per day based on historical performance.
Expected Monthly Return: The estimated average return per month.
Expected Yearly Return: The estimated return if the strategy continues its historical performance.
Kelly Criterion: Suggests the optimal position sizing to maximize long-term capital growth.
Daily Value-at-Risk (VaR): The maximum expected daily loss with a certain confidence level.
Expected Shortfall (cVaR): The expected loss in extreme worst-case scenarios.
Last Trade Date: The timestamp of the bot’s most recent trade.
Max Consecutive Wins: The highest number of winning trades in a row.
Number of Winning Trades: The total number of profitable trades executed.
Max Consecutive Losses: The highest number of losing trades in a row.
Number of Losing Trades: The total number of unprofitable trades.
Gain/Pain Ratio: Measures the ratio of gains to losses, assessing profitability over time.
Gain/Pain (1M): The gain/pain ratio for the last month.
Payoff Ratio: Compares the average profit of winning trades to the average loss of losing trades.
Common Sense Ratio: Evaluates return consistency by measuring return versus risk while emphasizing downside risk.
Tail Ratio: Measures risk by comparing extreme positive and negative returns.
Outlier Win Ratio: The percentage of profits from exceptionally large winning trades.
Outlier Loss Ratio: The percentage of losses from extremely large losing trades.
Recovery Factor: The ability of the bot to recover from drawdowns.
Ulcer Index: Measures sustained drawdowns and prolonged losses.
Serenity Index: Evaluates overall risk-adjusted return with consideration for drawdowns.
🤖 AI Quantitative Analysis
This section provides an AI Quant bot-generated assessment of the strategy’s performance and viability based on quantitative analysis.
AI Analysis Description
Performance Analysis: Evaluates key metrics such as cumulative return, annualized return (CAGR), Sharpe ratio, profit factor, drawdown, and volatility to assess the bot's profitability and risk profile.
Strategy Viability: Determines if the bot is suitable for live trading by analyzing long-term profitability, risk-adjusted performance, and market conditions.
Risk Management: Identifies ways to minimize risk, including reducing leverage, improving stop-loss mechanisms, and using dynamic position sizing.
Improvement Suggestions: Provides recommendations such as optimizing strategy parameters, incorporating technical indicators, conducting stress tests, and diversifying assets.
Final Opinion: Summarizes the bot’s potential, balancing profitability against risk. Includes a final recommendation on whether further refinements are needed before deploying the bot.
Use AI insights to quickly see whether a bot might align with your trading style and risk tolerance.
📅 Standard Monthly Profit
This table shows the strategy’s monthly profits and losses across different years.
Standard Monthly Profit Table
This helps you spot performance trends over time.
📊 Live Trade Stats
This section provides real-time insights into the bot’s trading activity.
List of Live Trade Stats
Base Currency: The currency in which trades are executed.
Number of Trades: The total count of trades completed.
Cumulative Returns: The percentage return on all trades combined.
Win Rate: The percentage of trades that were profitable.
Incubation Start Date: The date when the strategy started live trading.
Performance Over Time: Returns calculated over different periods:
7 Days: The bot’s return over the last 7 days.
30 Days: Performance over the last 30 days.
60 Days: Cumulative returns over the past 60 days.
90 Days: Overall return for the last 90 days.
A histogram below this data shows equity vs. number of trades, helping visualize performance with an increasing number of trades.
📋 List of Trades
A detailed table lists individual trades executed by the bot.
For each trade, it lists the Trade type (long/short), entry/exit signal, profit and loss details, and more.
Check trade history to understand how the bot executes trades under different market conditions. Use the navigation buttons below to view old history.
📊 Performance Comparison: Backtest vs. Forward-Test
This table lets you view detailed backtest and forward-test performance results, including key metrics such Net Profit, Max Drawdown, and Number of Winning Trades.
Use the toggle to switch between forward and backtest results.
Large differences between backtest and live results may indicate strategy inconsistency.
📸 TradingView Screenshots
This section contains a TradingView snapshot that helps you visually compare Live trade and Backtest results.
Use the slider to switch between these views.
🔗 Quick Links Panel
A floating panel on the right side of the page provides shortcuts to:
Add to Favorites: Save the bot to your watchlist.
Connect Telegram: Connect your Telegram account.
Follow on Telegram: Join discussions about the bot.
Copy TradingView Chart: Open the trading pair's chart in TradingView with the bot's settings applied.
Add to Vault: Store the bot in your private collection.
