darkstar4401

Parseltongue, fintech, data science

Pinned Repositories

Algorithmic_Pattern_Recognition
Notebook explores the process of calculating local extremas for: pattern recognition, support/resistance levels, and ML feature engineering
Language:Jupyter Notebook5 1 00
DNA
A python script to encode/decode arbitrary computer files into DNA sequences.
Language:Python1 1 00
machine_learning_examples
A collection of machine learning examples and tutorials.
Language:Python1 2 00
Mining_Diff_Tracker
Accesses mining pool apis to track difficulty for bots and machine learning.
Language:Python0 2 00
MNOScrape
masternodes online webscrape
Language:Python1 2 00
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.
Language:Jupyter Notebook2 1 00
SignificantTrades
better than 1 min chart
Language:Vue1 1 00
StocksML
Applied Machine learning on stock data through layered LSTM
Language:Python0 1 00
Trading-env
Openai trading env for iteration through ohcv data
Language:Jupyter Notebook1 2 00
Vizz_Flask_App
Conding interview for vizz
Language:Python0 2 00

darkstar4401's Repositories

darkstar4401/Algorithmic_Pattern_Recognition
Notebook explores the process of calculating local extremas for: pattern recognition, support/resistance levels, and ML feature engineering
Language:Jupyter Notebook5 1 00
darkstar4401/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.
Language:Jupyter Notebook2 1 00
darkstar4401/machine_learning_examples
A collection of machine learning examples and tutorials.
Language:Python1 2 00
darkstar4401/MNOScrape
masternodes online webscrape
Language:Python1 2 00
darkstar4401/sonify
Use data to create and play MIDI files!
Language:Python1 1 0
darkstar4401/Mining_Diff_Tracker
Accesses mining pool apis to track difficulty for bots and machine learning.
Language:Python0 2 00
darkstar4401/StocksML
Applied Machine learning on stock data through layered LSTM
Language:Python0 1 00
darkstar4401/BW_finder
Records binance historical data for flagged buy/sell walls to study market behavior.
1 0
darkstar4401/Classwork
Collection of projects completed for college C.S courses
Language:C1 0
darkstar4401/cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Language:Jupyter Notebook
darkstar4401/cram1
Computational Risk and Asset Management tutorial exercises
Language:Python1 0
darkstar4401/crypto-sonification
Experimental sonification of cryptocurrency market data.
Language:Jupyter Notebook1 0
darkstar4401/Crypto_Trader
Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange
Language:Python
darkstar4401/dash-vanguard-report
Live App:
Language:Python1 0
darkstar4401/dash-web-trader
Web trader demo made with dash
Language:Python2 0
darkstar4401/deep-trading-agent
Deep Reinforcement Learning based Trading Agent for Bitcoin
Language:Python
darkstar4401/deep_rl_trader
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Language:Python
darkstar4401/ML-Quant-Finance
Machine Learning for Quantitative Finance
Language:Jupyter Notebook1 0
darkstar4401/MNO_Multivariate
Multivariate time series analysis on MNO data
Language:Python
darkstar4401/PyFlooder
A http flood python script that could stop a normal website in 10s
Language:Python1 0
darkstar4401/qtrader
Reinforcement Learning for Portfolio Management
Language:Jupyter Notebook
darkstar4401/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
Language:Python1 0
darkstar4401/quantcon2018
Language:Jupyter Notebook1 0
darkstar4401/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Language:Jupyter Notebook1 0
darkstar4401/simulator
Language:Jupyter Notebook1 0
darkstar4401/sl-quant
Companion code for the "Self Learning Quant" blog post
Language:Python
darkstar4401/Stacked-ML-Trading
Stacke ARIMA,LSTM, DQN for algorithmic crypto trading.
Language:Jupyter Notebook1 0
darkstar4401/trading-bot
Code seen in Cryptocurrency Trading YouTube video here: https://youtu.be/fpqzXgZjSqM
Language:Python
darkstar4401/v48
ICML 2016 Proceedings
Language:HTML1 0
darkstar4401/zipline
Zipline, a Pythonic Algorithmic Trading Library
Language:Python1 0