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awesome-quant

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

awesome-tradingview

Curated list of noteworthy TradingView Strategies, Indicators and Alert Scripts for Trading Bots (PineScript)

bocconithesis

Machine Learning Methods for EURUSD prediction

btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

cboe_scrape

Scraping options data from CBOE website and make simple analysis

ccapi

A header-only C++ library for cryptocurrency market data streaming and order execution management. Bindings for other languages such as Python are provided.

codefromvideo

Source code from the youtube video

deep-orderbook

Deep learning modelling of orderbooks

fx-1-minute-data

HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data Historical FX Prices (up to date).

fx-trade

Free, open source forex trading bot integrated with Oanda and Telegram, with the possibility to implement machine learning and reinforcement learning strategies, besides classical ones.

fx-volatility-trading

The implementation of an FX Volatility Trading Model Using ML

machine-learning-for-trading

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

machinelearningfx

A MT5 trading agent integrated with Machine Learning script in python.

mercator

Geodata hsrw

metatrader-4-bot

MetaTrader 4 Bot written in Python (client) and MQL (server)

otmql4py

Open Trading Metatrader 4 Python Integration

pair-trading

Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM

personal_data_science_projects

rl-fx-trading

Reinforcement Learning in FX Trading

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stocks-pattern-analyzer

This tool should help discover different patterns based on similarity measures in historical (financial) data

wattnet-fx-trading

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series