StockUtils
Unverified Other strategy on Indices by marvin-hansen. BotFinder score 18 out of 100.
Utils to process stock data
Source: github
BotFinder analysis pending.
StockUtils
StockUtils Util collection to accelerate Deep Learnign experiments on stock market data. Currently pre-alpha code with frequent breaking changes. Example Full example code here Install Features 1) Cached DataLoader 2) Various data-preprocessors (procs) 3) Various technical indicators (from AlphaVantage) 4) Data splitting (train & test) 5) ProcFlow 6) Portfolio related metrics Metrics The class BaseMetrics implements the following metrics: DailyReturns Daily volatilty Sharpe ratio information ratio M2 Ratio (Modigliani) F1 score (Precision / Recall) Cached DataLoader The default cachedNetLoader fetches data from the web, stores them locally in a CSV file, and returns a pandas dataframe so that a developer does not have to deal with JSON at all. Proc's do a myriad of transformations or feature generators to the loaded data. The DataLoader interface can be implemented for any other data provider. A stub for Quandl is there and a complete implementation for AlphaVantage is there. Procs & ProcFlow Procs are data pre-processors with each doing exactly one thing only, for instance adding pe
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