algorithmicTrading
Unverified Arbitrage strategy on Crypto by arikaufman. BotFinder score 18 out of 100.
Experimenting with Algo Trading using Backtrader Python Module. Specifically, statistical arbitrage using cointegration.
Source: github
BotFinder analysis pending.
algorithmicTrading
algorithmicTrading Experimenting with Algo Trading using Backtrader Python Module. Table of Contents 1 File Structure Information 2 Pairs Trading 2.1 Background 2.2 Results 2.3 Position Sizing 3 Further Thoughts File Structure Information: main.py Takes in a strategy class, a data collection class, and sets the broker cash amount, stake, and commission. It also displays the plot of both the data and trading style, along with the analysis values themselves. In main.py, feel free to edit the: Strategy added to the cerebro instance The desired cash amount to test with The commission percentage per trade common/DataCollection The data used is collected by downloading from yahoo finance. For instance, for the oracle data, the following link was used: https://ca.finance.yahoo.com/quote/ORCL/history?p=ORCL&.tsrc=fin-srch . Ensure that the strategy you pick corresponds to the data that you are using, as the data used in DataCollection will be automatically ingested into the cerebro broker instance, per line 14 in main.py. If you'd like to improve the functionality or specificity of the data
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Drawdown profile
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)