trade-executor
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tradingstrategy-ai
A Python framework for managing positions and trades in DeFi
Save Binance data to our own database would save time and avoid future API problems.
1. Remove all example strategies from documentation website 2. Move to deprecated (do not use page/section) 3. Make documentation point to new Github getting started repo
`calculate_compounding_realised_trading_profitability` doesn't work with concurrent open positions
### Steps to reproduce 1. Add the following code cell to this [notebook](https://github.com/tradingstrategy-ai/trade-executor/blob/master/notebooks/momentum/spot-and-short-momentum.ipynb) after the backtest is run: ```python from tradeexecutor.visual.benchmark import visualise_long_short_benchmark from tradeexecutor.visual.equity_curve import calculate_long_compounding_realised_trading_profitability, calculate_compounding_realised_trading_profitability from plotly...
See [Discord](https://discord.com/channels/888448459168948284/1116326396596338738/1237145537824690258) message To live strategy working again on the lastest version I had to comment out `start_at` and `end_at` in `load_partial_data` and provide `required_history_period` argument, but then the backtest...
Allowing float/int, as was previously done, in `contains_cross_over` or `contains_cross_under` can lead to many missed crossovers/unders
- Create new notebook `v03-matic-breakout-credit-supply`
# Issue The performance data shown both on the [strategy index page](http://localhost:5173/strategies) and the [strategy performance page](http://localhost:5173/strategies/polygon-multipair-momentum/performance) is inconsistent with the actual performance of the strategy based on its trades....
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A Python framework for managing positions and trades in DeFi