1509 Open source projects that are alternatives of or similar to Aialpha

Courses, Articles and many more which can help beginners or professionals.

Introducing neural networks to predict stock prices

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

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

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

modular quant framework.

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

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

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

A curated list of practical financial machine learning tools and applications.

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

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

Quantitative analysis, strategies and backtests

super-monorepo for machine learning and algorithmic trading

Backtest and live trading in Python

Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf

🔎 📈 🐍 💰 Backtest trading strategies in Python.

This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.

Learning to Cluster. A deep clustering strategy.

A curated list of awesome awesomeness about artificial intelligence

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

The simplest form of an artificial neural network explained and demonstrated.

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

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Automated Trading: Trading View Strategies => Bitfinex, itBit, DriveWealth

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

fastquant — Backtest and optimize your trading strategies with only 3 lines of code!

Application of machine learning to the Coinbase (GDAX) orderbook

Automated crypto currency trading bot

A financial trading method using machine learning.

Some notebooks with powerful trading strategies.

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Code for Machine Learning for Algorithmic Trading, 2nd edition.

PyTorch - Python + Nim

Cryptocurrency Price Prediction Using LSTM neural network

This is an open sourced book on deep learning.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

🤖 Predict the stock market with AI 用AI预测股票市场

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

Handwritten digits, a bit like the MNIST dataset.

deeplearning.ai , By Andrew Ng, All video link

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Notebooks based on financial machine learning.

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

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

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Using python and scikit-learn to make stock predictions

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.

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Performance tear sheets and backtest analysis for Moonshot

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

A deep learning based gaze estimation framework implemented with PyTorch

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Strategies to Gekko trading bot with backtests results and some useful tools.