mjgpinheiro Goto Github PK

stock-trading-with-neat-algorithm

Stock trading based on MACD indicator, using NEAT and naive algorithm

stockbot

Alpaca algo stock trading bot

stockpredictingapp

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 discr

stocks-price-prediction-using-multivariate-analysis

stocksharp

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

stocktradingai

This project is a Stock Trader trained to trade stocks from the S&P 500. It was made using a Deep Q-Learning model and libraries such as TensorFlow, Keras, and OpenAI Gym. It was trained on data from 2006-2016, cross validated on data from 2016-2018, and tested on data from 2018-2021

strategy-heikenashi

Strategy based on the Heiken Ashi candlesticks.

superalgos

Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

sydom

Sophisticated Scalper Bot for BitMEX using orders imbalance analysis

t-1000

:zap: :zap: Deep RL Algotrading with Ray API

technical-indicators

Technical Indicators used in Stock Market Analysis

tensorflow-stocks-prediction-machine-learning-realtime

Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:

time-series-analyses-and-climate-change

Ties together the notebooks and data pertaining to a blog post on medium - the blog post focusses on some fundamentals of time series analyses.

tpqoa

tpqoa is a Python wrapper package for the Oanda REST API v20 for algorithmic trading.

trade

My forex trading bot in Clojure using ForexConnect API of FXCM

trader.ai

Python application to show AI functionality based on Keras and TensorFlow

trading-bot

Stock Trading Bot using Deep Q-Learning

trading_and_visualizations

All the code related to the article "An Easy Probabilistic Machine Learning Approach to Trading"

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

tribeca

A high frequency, market making cryptocurrency trading platform in node.js

tutorial-cryptotrading

A high frequency crypto trading bot using Macrometa Streams, Stream Processing and document database

tutorials

Ipython notebooks for math and finance tutorials

udemy-algorithmic-trading-from-a-to-z-using-python

udemy-algorithmic-trading-with-python-machine-learning-strategies

udemy-the-complete-machine-learning-course-with-python

Please see the readme file for more info

verdurous-stock-market-ai

An AI project in Python3 to predict the stock market

watson-stock-market-predictor

A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.

wolfram-cellular-automata-python

Wolfram's cellular automata in python.

yfinance

Yahoo! Finance market data downloader (+faster Pandas Datareader)