Signals Performance
Last updated
Last updated
AI Signals offers precise, data-driven trading signals for cryptocurrencies, utilizing advanced machine learning algorithms. This documentation outlines the performance of our signals through backtest results and live trading performance since 2022. By examining these metrics, users gain valuable insights into the effectiveness and reliability of AI Signals, empowering them to make informed, strategic trading decisions and gain an edge in the market against algorithms and institutions.
Overview Our historical performance reports provide an in-depth analysis of AI Signals' performance, covering backtested data since 2019 and live trading results starting in 2022. These insights help assess the consistency and effectiveness of our signals over time.
Available Performance Reports
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2022
4.72%
-0.07%
11.31%
15.66%
8.82%
11.7%
20.58%
14.77%
110.06%
2023
-2%
8.32%
17.93%
10.43%
0.28%
10.94%
5.84%
5.24%
-3.72%
7.81%
9.79%
12.34%
103.4%
2024
13%
3.74%
9.56%
0.47%
18.92%
9.55%
1.45%
18.32%
4.17%
109%
Daily Performance: Day-to-day insights for short-term trends.
Monthly Performance: Monthly analysis to evaluate long-term strategy stability.
Net Return per Asset: Identifies which crypto assets contributed most to overall performance.
Raw Backtests & Performance Data: We provide complete access to backtests and performance metrics, including every trade since 2019 for full transparency.
Our backtesting process involves the use of proprietary AI algorithms on historical cryptocurrency market data. The backtests simulate trading conditions to evaluate signal effectiveness, including considerations like slippage, transaction costs, and real market factors to ensure realistic results. The live trading results since 2022 further validate our signals in actual market conditions.
Net Returns / Net Returns %: The total and percentage gains or losses.
Compound Annual Growth Rate (CAGR): Annual growth assuming reinvestment.
Win Rate: Percentage of profitable trades.
Sharpe & Sortino Ratios: Measures of risk-adjusted returns (most important).
Max Drawdown: The maximum observed loss before a new peak.
Backtesting is crucial to understanding the potential profitability and risk of our trading signals. Our AI and machine learning models run backtests using historical market data since 2019 to simulate real trading scenarios. This process helps in refining strategies and assessing long-term effectiveness.
