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Who We Are

What is GetTrade?

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Our Commitment to Transparency

Unlike black-box trading systems, we provide complete transparency on our AI models’ performance, including periods of poor performance and market conditions where our approaches struggle.

AI Model Performance Overview

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Directional Accuracy by Asset Class

US Large Cap Stocks (S&P 500) 1-Day Signals: 64% accuracy (2,847 signals tested) 3-Day Signals: 68% accuracy (1,156 signals tested) Weekly Signals: 71% accuracy (234 signals tested) Best Performance: Low volatility trending markets Challenging Conditions: High volatility reversals, earnings events

Innovative Tools

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Dedicated Support

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AI Model Performance Overview

Directional Accuracy by Asset Class

US Large Cap Stocks (S&P 500)

  • 1-Day Signals:64% accuracy (2,847 signals tested)
  • 3-Day Signals:68% accuracy (1,156 signals tested)
  • Weekly Signals:71% accuracy (234 signals tested)
  • Best Performance: Low volatility trending markets
  • Challenging Conditions:High volatility reversals, earnings events

Cryptocurrency (Bitcoin/Ethereum)

  • 1-Hour Signals: 58% accuracy (12,443 signals tested)
  • 4-Hour Signals: 62% accuracy (3,891 signals tested)
  • Daily Signals: 67% accuracy (892 signals tested)
  • Best Performance: Clear trending conditions
  • Challenging Conditions: Weekend low-volume periods, regulatory announcements

Futures (ES, NQ, YM)

  • 15-Min Signals: 61% accuracy (8,954 signals tested)
  • 1-Hour Signals: 65% accuracy (2,387 signals tested)
  • Daily Signals: 69% accuracy (445 signals tested)
  • Best Performance: Regular trading hours with normal volume
  • Challenging Conditions: Overnight sessions, FOMC announcement days

Strategy Performance Analysis

Beta User Strategy Performance

Data from 127 active beta users, January-June 2025

Risk-Adjusted Returns (Sharpe Ratio)

  • Average Across All Strategies: 1.34
  • Top Quartile: 2.18
  • Bottom Quartile: 0.67
  • Benchmark (SPY Buy & Hold): 0.89

Maximum Drawdown Analysis

  • Average Max Drawdown: 8.7%
  • Median Recovery Time: 23 days
  • Strategies with <5% drawdown: 34%
  • Strategies with >15% drawdown: 12%

Win Rate Distribution

  • Average Win Rate: 57.3%
  • Range: 31% - 84%
  • Most Common Range: 55-65% (48% of strategies)

Performance by Strategy Type

Trend Following Strategies

Sample Size

  • 89 strategies across beta users

Performance Metrics

  • Average Annual Return : 23.7% (paper trading)
  • Sharpe Ratio: 1.52
  • Maximum Drawdown: 11.2%
  • Win Rate: 52.8%

Best Conditions

  • Clear trending markets, low correlation periods
  • Challenging Conditions: Choppy, range-bound markets
  • Most Common Range: 55-65% (48% of strategies)

Mean Reversion Strategies

Trend Following Strategies

Sample Size

  • 67 strategies across beta users

Performance Metrics

  • Average Annual Return: 18.4% (paper trading)
  • Sharpe Ratio: 1.41
  • Maximum Drawdown: 7.9%
  • Win Rate: 64.3%

Best Conditions

  • Range-bound markets, post-volatility periods
  • Challenging Conditions: Strong trending markets, momentum phases
  • Most Common Range: 55-65% (48% of strategies)

Portfolio Allocation Strategies

Sample Size

  • 43 multi-strategy portfolios

Performance Metrics

  • Average Annual Return: 19.8% (paper trading)
  • Sharpe Ratio: 1.67
  • Maximum Drawdown: 6.1%
  • Portfolio Correlation: 0.23 (average between strategies)

Best Conditions

  • Range-bound markets, post-volatility periods
  • Challenging Conditions: Strong trending markets, momentum phases
  • Most Common Range: 55-65% (48% of strategies)

Market Condition Analysis

Performance Across Different Market Regimes

Sample Size

  • Low Volatility Trending (VIX < 20, clear trend)
  • Strategy Success Rate: 73%
  • Average Monthly Return: 2.8%
  • AI Signal Accuracy: Highest across all conditions

Performance Metrics

  • High Volatility Trending (VIX > 30, clear trend)
  • Strategy Success Rate: 58%
  • Average Monthly Return: 4.1% (higher risk/reward)
  • AI Signal Accuracy: Reduced due to noise

Best Conditions

  • Range-Bound Markets (Choppy, no clear trend)
  • Strategy Success Rate: 42%
  • Average Monthly Return: 0.9%
  • AI Signal Accuracy: Most challenging conditions

Historical Stress Testing

Major Market Events Performance

March 2020 COVID Crash

  • Trend Strategies: 12.4% max drawdown
  • Mean Reversion: 8.7% max drawdown
  • Recovery Time: 45 days average

2022 Crypto Winter

  • Crypto Strategies: 18.9% max drawdown
  • Multi-Asset Portfolios: 6.2% max drawdown
  • Recovery Time: 78 days average

2023 Banking Crisis (SVB, Credit Suisse)

  • Financial Sector Strategies: 15.3% max drawdown
  • Diversified Strategies: 4.1% max drawdown
  • Recovery Time: 21 days average

Accuracy Methodology

How We Calculate Performance

Signal Accuracy

  • Directional: Percentage of signals where price moved in predicted direction
  • Magnitude: Average price movement vs. predicted movement
  • Time Decay: How accuracy changes over different time horizons

Risk-Adjusted Metrics

  • Sharpe Ratio: (Return - Risk-free rate) / Standard deviation
  • Sortino Ratio: Downside deviation focus
  • Calmar Ratio: Return / Maximum drawdown

Statistical Significance

  • Minimum Sample Size: 100 signals for accuracy claims
  • Confidence Intervals: 95% confidence level for all reported metrics
  • Out-of-Sample Testing: 30% of data reserved for validation

Live vs. Paper Trading

Important Note: Current performance data is from paper trading with realistic execution assumptions. Live trading results may vary due to:

  • Actual slippage and market impact
  • Broker execution speeds and fills
  • Real-money psychological factors
  • Network latency and system delays

Performance Disclaimers

Past Performance Warning

  • Past performance does not guarantee future results. All trading involves substantial risk of loss.

Market Condition Dependency

  • Our AI models perform differently across various market conditions. Performance during testing periods may not reflect future market environments.

Individual Results Vary

  • Strategy performance depends on implementation, risk management, and market timing. Individual user results will differ.

Beta User Performance Dashboard

Real-Time Metrics (Beta Users Only)

  • Live strategy performance tracking
  • Personalized accuracy statistics
  • Risk metric monitoring
  • Peer comparison (anonymous)

Continuous Improvement

Model Updates

  • Our AI models are continuously refined based on new data and market conditions. Performance metrics are updated monthly with full historical revision.

User Feedback Integration

  • Beta user feedback helps identify model limitations and improvement opportunities. We track and report on enhancement results.

Origins

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GetTrade is trusted by 6+ million users in 175+ countries

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