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This project uses Python to create an optimally weighted stock portfolio by combining 7 common technical indicators, generating trading signals, backtesting the strategy, and aiming to outperform the standard buy-and-hold strategy of the SPY ETF.
This project uses Python to create an optimally weighted stock portfolio by combining 7 common technical indicators, generating trading signals, backtesting the strategy, and aiming to outperform the standard buy-and-hold strategy of the SPY ETF.
Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.
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