451 Open source projects that are alternatives of or similar to Options Trading Strategies In Python

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

Quantitative systematic trading strategy development and backtesting in Julia

Quantitative analysis, strategies and backtests

Quantitative Interview Preparation Guide, updated version here ==>

Application of machine learning to the Coinbase (GDAX) orderbook

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Algorithmic trading strategies

A list of online resources for quantitative modeling, trading, portfolio management

算法交易系统，支持CTP、XTP、模拟交易及行情网关、回测。不断迭代更新中。

The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.

Java 实盘量化框架

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

modular quant framework.

A GitHub repo for Quant Finance resources

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

No description or website provided.

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

Cloud-native Financial Reinforcement Learning

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

No description or website provided.

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

Mathematica implementations of machine learning algorithms used for prediction and personalization.

Machine learning models for time series analysis

source : http://coin.wne.uw.edu.pl/pwojcik/hfd_en.html

#nontina, #paperhands,, #pwnzebotz, #tradezbyguille

sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading

All the code for a series of Medium articles on Approximate Nearest Neighbors

Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.

51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading

Machine learning algorithms for many-body quantum systems

Implementation of the reweighted wake-sleep machine learning algorithm

https://machinelearning.wtf/ - An online glossary of machine learning terms.

QLNet C# Library

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

A PureScript, browser-based implementation of simple linear regression.

A list of popular deep learning models related to classification, segmentation and detection problems

R Data Structures and Algorithms, published by Packt

shell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.

Backtest and live trading in Python

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

A framework for historical volatility estimation and analysis.

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

A set of tools to use in Microsoft Azure Form Recognizer and OCR services.

book

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

No description or website provided.

The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻

Using Kalman Filter to Predict Corona Virus Spread

Implementation of a Partial Least Squares Regressor

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R