Shabbir Hasan's Projects
Stable Diffusion XL ported to Rust's burn framework
š StableSwap by Saber: an automated market maker for mean-reverting trading pairs.
Orderflow chart GUI using finplot and pyqt5graph
A set of rust crates for making stack dumps and getting stack traces out of them
Rust futures on spdk
Implementation of the Precision Time Protocol (PTP) in Rust
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Your Swiss Army knife for swiftly processing any amount of data.
The missing batteries of Rust
A linux utility for generating 2FA codes for Steam and managing Steam trade confirmations.
Step by step guide to automation using Zerodha's API
three stochastic volatility model: Heston, SABR, SVI
Implement pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, Heston
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
A complete all-in-one stock bot to fetch and store incremental day on day BSE data, build models and predict future prices and assess financials of a security. Create multiple watchlists, refresh data, run models and suggest best companies to buy/sell in a watchlist
Easy stock chart pattern recognition using python
:chart_with_upwards_trend: A web based stock forecaster in Django with predictive analysis
ā¢ Visualised trend and seasonality & conducted tests for checking stationarity of Time series for predicting volatility using GARCH Model. ā¢ Developed Cox-Ross-Rubenstein Binomial Tree Model for pricing American Call & Put Options.ā¢ Programatically Implemented Black Sholes Merton Model for pricing European Call & Put Options.
Enter the ticker/symbol of a stock, and be notified of the dates (if any) where common trading patterns occur. Once a valid ticker is entered, a live chart containing stock candles and prices over the past month will be displayed.
The project aims to profile stocks with similar weekly percentage returns using K-Means Clustering. The project calculates realized volatility for each stock and predicts realized volatility for each stock using classical volatility models and machine learning models and comparing their performance. This is a capstone project for CIVE 7100 Time Ser
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A High Frequency Trading Simulation with Files
Stock Indicators for Python. Maintained by @LeeDongGeon1996
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