darkstar4401's repositories
Portfolio-Analysis
Notebook uses BW generated portfolios of different timeframes. Generates a dataframe of historical OHLCV for portfolio analysis and backtesting. BW portfolios consists of csv files with symbols as csv data and the utc timestamps as the filenames. Gets statistical data for each period of the portfolio. Plots equity, log returns, and drawdown.
cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Algorithmic_Pattern_Recognition
Notebook explores the process of calculating local extremas for: pattern recognition, support/resistance levels, and ML feature engineering
quant-trading
Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA
Classwork
Collection of projects completed for college C.S courses
Stacked-ML-Trading
Stacke ARIMA,LSTM, DQN for algorithmic crypto trading.
crypto-sonification
Experimental sonification of cryptocurrency market data.
dash-vanguard-report
Live App:
PyFlooder
A http flood python script that could stop a normal website in 10s
deep_rl_trader
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
zipline
Zipline, a Pythonic Algorithmic Trading Library
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
BW_finder
Records binance historical data for flagged buy/sell walls to study market behavior.
Mining_Diff_Tracker
Accesses mining pool apis to track difficulty for bots and machine learning.
qtrader
Reinforcement Learning for Portfolio Management
deep-trading-agent
Deep Reinforcement Learning based Trading Agent for Bitcoin
ML-Quant-Finance
Machine Learning for Quantitative Finance
MNO_Multivariate
Multivariate time series analysis on MNO data
machine_learning_examples
A collection of machine learning examples and tutorials.
Crypto_Trader
Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange
trading-bot
Code seen in Cryptocurrency Trading YouTube video here: https://youtu.be/fpqzXgZjSqM
cram1
Computational Risk and Asset Management tutorial exercises
StocksML
Applied Machine learning on stock data through layered LSTM
sl-quant
Companion code for the "Self Learning Quant" blog post
v48
ICML 2016 Proceedings