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readinglist

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

reinforcement_learning_for_stock_prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

research_public

Quantitative research and educational materials

resefex

Simple trading platform using ansible+docker orchestration, the stack: python pyramid, angular, apache kafka

reservoir

Code for Reservoir computing (Echo state network)

reservoir-computing-framework-for-multivariate-time-series-classification

Library for implementing multivariate time series classifiers based on reservoir computing (echo state network)

rl_trading

An environment to high-frequency trading agents under reinforcement learning

rlquant

Applying Reinforcement Learning in Quantitative Trading

saccr

R package implementing the SA-CCR Basel III Regulation

scala

This is the scala practice repository

scala-and-spark-for-big-data-analytics

Scala and Spark for Big Data Analytics, published by Packt

scala-high-performance-programming

Scala High Programming by Packt Publishing

scala-reactive-bank

Scala,Akka,Play,Slick,Docker Rest Banki api

securities-screener

The Intelligent Investor in Python

skits

scikit-inspired time series

sl-quant

Companion code for the "Self Learning Quant" blog post

slack_portfolio

Slack-bot for management investment portfolio

sofit

The Sofit web application enables greater transparency and diaglogue around financial transactions. Account holders can provide fine grained 3rd party access to their accounts. Account holders and external users can tag and comment on transactions.

spark-cep

Spark CEP is an extension of Spark Streaming to support SQL-based query processing

spark-scala-tutorial

A free tutorial for Apache Spark.

spark-sklearn

Scikit-learn integration package for Spark

spark-with-python---my-learning-notes-

ETL pipeline using pyspark (Spark - Python)

stationarizer

Smart, automatic detection and stationarization of non-stationary time series data.

stationary-wavelet-packet-transform

An implementation of the stationary wavelet packet transform on top of PyWavelets

stationary_timeseries_tf

Description and experimentation of how to fit stationary time series with tensorflow

stock-selection-a-framework

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

stock-trading-visualization

A simple, yet elegant visualization of our stock trading RL agent environment.

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

streamcql