Please read this carefully before using TradeEvidence.
TradeEvidence does not display or process live, real-time market data. All data used in the platform is historical data uploaded by users. Prices, patterns, and signals shown in backtests and research results reflect past market conditions only. They do not represent the current market state and should not be used to make real-time trading decisions.
Nothing on this platform constitutes financial, investment, legal, or tax advice. All content — including AI-generated strategies, backtest results, statistical analysis, and research outputs — is provided for informational and educational purposes only. You should consult a qualified financial advisor before making any investment or trading decisions.
Past performance is not indicative of future results. A strategy that performed well in backtesting may lose money in live markets. Market conditions change, and historical patterns do not always repeat. Backtest results do not account for slippage, spread widening, latency, liquidity constraints, or psychological factors that affect real trading.
TradeEvidence is not connected to any broker, exchange, or trading API. We do not execute trades, manage positions, or access your trading accounts. Any trading you do based on research conducted here is entirely at your own discretion and risk.
Research outputs and strategy descriptions generated by AI may contain errors, omissions, or interpretations that do not align with your intent. Always review AI-generated rules and backtest parameters before relying on them. AI is a research assistant, not a substitute for your own judgment and due diligence.
Trading financial markets carries a high risk of loss. You should never trade with money you cannot afford to lose. The operators of TradeEvidence are not responsible for any trading losses or damages arising from your use of the platform or reliance on its outputs.
The accuracy of backtest results depends on the quality and completeness of the data you upload. Gaps, bad ticks, or incorrect timestamps in your data can produce misleading results. We recommend using high-quality data from reputable sources and always sanity-checking outputs.