Signals Performance

Overview

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.

Historical Performance Reports

Example for ETH trend signals
Asset
Signal Type
Win Rate
Profit Factor
Total Profit

XAUUSD (Gold)

Reversal

71%

1.9

+120%

SPX500 (S&P 500)

Trend

68%

2.7

+220%

BTCUSDT

Scalper

75%

4.0

+1,250%

ETHUSDT

Reversal

65%

1.8

+350%

AAPL (Apple)

Swing

63%

2.2

+280%

SOLUSDT

Swing

61%

2.0

+400%

MSFT (Microsoft)

Trend

70%

3.0

+300%

....more+

Backtesting

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.

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