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Back testing and parameters optimization
Jerry edited this page Jun 9, 2023
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A great opportunity to quickly and safely check how changing parameters affects the result
Modified Martingale strategy responds to market signals, constantly adjusting to changing conditions. The system itself is passive - it only responds to an incoming data stream. The reaction depends on:
- Specified limits of parameters change
- System status at a given time
- Incoming data:
- market data stream
- user data stream
- Time scale, some process have fixed or parametric time delay
For high-quality simulation and obtaining a repeatable result, all of the above matters.
The following solutions have been implemented for these items:
- This is the subject of research and optimization, with identical parameters, the strategy gives the same result
- Data collection and training sessions start from a zero state. The ability to start from any saved state is being studied
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- market data -
You can ask any questions about strategy in discussions section. Create issue if you have trouble or suggestions for development.
1. Home
- Trade idea
- Features
- Quick start
- Terminal Tmux (useful tips)
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How it's work
- Place grid
- Reverse
- Grid only
- Place take profit order
- Restart
- Fee options
- Keeping level of first asset
- Maintaining a supply of BNB in a sub-account to pay fees
- Deposit and withdraw assets on active strategy
- Telegram notification
- Telegram control
- Save data for external analytics
- Consolidated asset valuation
- Asset management
- Recovery after any reason crash, restart etc.
- Back testing and parameters optimization
- For developers