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algorithmic_delta_hedging

A library for black-scholes euro options pricing, algorithmic delta hedging, and visualization

alpaca-trade-api-python

Python client for Alpaca's trade API

alphalens

Performance analysis of predictive (alpha) stock factors

alphatrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

arbetrade

Machine learning and Algorithmic trading Using NLP / Logistic Regression to Predict Future Stock Movement Program that allows a user to choose a stock from the S&P 500 or VIX run a logistic regression model to predict the price movement of this stock ‘s on the future trade based on current sentiments of Reuters news articles and social media post related to that organization. This platform performs data training using various models to provide best analysis to help traders decide whether to buy or sell the stock.

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

blockchain-backed-ledger

blueshift-demo-strategies

breakeven_volatility

Get breakeven volatility through Delta Hedging and Gamma Hedging; Fit the volatility smile by SABR and SVI model

btc-arbitrage-assessment

Berkeley FinTech Bootcamp Challenge 03

chainlink-mix

Working with smart contracts with eth-brownie, python, and Chainlink.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

credit-risk-classification

cryptocurrency-clustering

deep-portfolio-management

Source code for the blog post on the evolution of the asset allocation methods

etf-web-application

fastquant

fastquant — Backtest and optimize your trading strategies with only 3 lines of code!

fbm

Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python

financepy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

financial-planning-tools

Financial Planning with APIs and Simulations

fintech-finder-cryptocurrency-wallet

fractional-brownian-motion

Python implementation of fractional brownian motion

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

lilhomie

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

loan-qualifier-application

This will be the repo for second module challenge

machine-learning-algotrading