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alpha-scientist

analyzingalpha

autonomy-trader

Autonomy Trader is a full stack trading app built on python, postgreSQL and timescaleDB for the database, FastAPI web framework, Jinja's template engine, and Alpaca's REST api for making trades through their broker.

autotrader

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

avanza

A Node.js wrapper for the unofficial Avanza API

backtrader-momentum-strategy

Momentum Strategy implemented in Backtrader for newbies

blog

Source code for my personal blog

cs50-finance

Small stock trading website written in Python as part of the Problem Sets from the "CS50: Introduction to Computer Science" course I took online.

data-app

A Web Application that allows users to create dummy portfolios or watchlists to monitor or test their trading strategies. Written in Python using the Flask web framework.

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.

financial-news-for-stock-prediction-using-dp-lstm-nips-2019

Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.

forex_python

futuresio-webinars

Supported files and code examples for my futures.io webinars series

nordnet-api

Nordnet.dk Unofficial API

portfolio-tracker

Track a portfolio of equity securities with Python!

pyalgotrade-tutorials

backtesting strategies using pyalgotrade

pyti

Python library of various financial technical indicators

quant

Quantitative Analysis Research see more at https://teddykoker.com

quantstats

Portfolio analytics for quants, written in Python

stock-prediction-models

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

stock-trader

A stock trading app using Python 3, SQLite, Flask, Jinja, HTML, and CSS.

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.

stocksimulation

Flask web application that allows users to register accounts and buy, sell, and track stocks

trading_algos

Trading Algorithms for Zorro-Trader

trading_strategies

wall.street.watch

A web scraping application to keep track of a set of stocks specified by the user. Developed mainly using Python and the Flask framework.

web_trader

📊 Python Flask app that consolidates data from Nasdaq, allowing the user to buy and sell stocks.

zorro

FX Algorithmic Trading scripts written for Zorro Trader platform.

zorro_snippets

These are some random snippets I may or may not be using with the Zorro Trading Automaton