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t-triobox's Projects

spectre

GPU-accelerated Factors analysis library and Backtester

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

statistical-arbitrage-algorithmic-trading

A Project to identify statistical arbitrage opportunities between cointegrated pairs. This is referred to as 'Pairs Trading' which is a bet on the mean reversion property of the spread.

statistical-rethinking-with-python-and-pymc3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

stmx

High performance Transactional Memory for Common Lisp

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

stock-prediction-models

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

stock-price-prediction-using-keras-and-recurrent-neural-networ

Stock Price Prediction case study using Keras

stock_stream_processing

Stock Trade Analytics leveraging Spark Structured Stream Processing

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.

stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

stolgo

Price Action Trading APIs, Algorithmic approach, Dealing with securities. Get APIs to detect candlestick patterns, identify trends, support resistance, and price breakout.

supervisor

Supervisor process control system for UNIX

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

ta

Technical Analysis Library using Pandas and Numpy

taichi

Productive & portable high-performance programming in Python.

td-ameritrade-python-api

Unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard API, and allows users to build data pipelines for the Streaming API.

tda-tutorial

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

tdalabs

Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrations, 3D shapes, spaces of images patches

tdameritrade

Python interface to TD Ameritrade (https://developer.tdameritrade.com)

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

text_summurization_abstractive_methods

Multiple implementations for abstractive text summurization , using google colab

thepassiveinvestor

Passive Investing for the Average Joe

thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

thinkcomplexity2

Book and code for Think Complexity, 2nd edition

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

trading-core

Backend core needed for automated trading

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