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Why Backtesting is Needed
Model Validation: Tests the performance of risk models and strategies against historical data to validate their effectiveness.
Strategy Optimization: Allows users to refine and optimize their strategies based on past performance.
Risk Management: Helps identify potential weaknesses in strategies and adjust them to mitigate risks.
Features
Historical Performance Analysis: Evaluate how models and strategies would have performed under historical market conditions.
Scenario Testing: Tests strategies under various hypothetical scenarios to assess their robustness.
Custom Backtests: Users can define specific parameters and conditions for backtesting to meet their unique needs.
The plan for disovery engine is evolve as an oracle that can be consumed directly within the smart contracts for real time, accurate and intelligent on-chain decision making.
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