dougmbaya

dougmbaya

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Dynamask

This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.

Language:PythonLicense:MITStargazers:74Issues:0Issues:0

optopsy

A nimble options backtesting library for Python

Language:PythonLicense:GPL-3.0Stargazers:964Issues:0Issues:0

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

Language:PythonLicense:Apache-2.0Stargazers:5608Issues:0Issues:0

GraphVega

Open Source Options Analytics Platform.

Language:JavaScriptLicense:MITStargazers:283Issues:0Issues:0

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7799Issues:0Issues:0

pyvcloud

Python SDK for VMware vCloud Director

Language:PythonLicense:NOASSERTIONStargazers:170Issues:0Issues:0