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  1. web3_ml web3_ml Public

    Classifying cryptocurrency traders using logistic regression. This tool aims to categorize traders into three groups: Good Trader, Average Trader, and Bad Trader, based on their trading performance…

    Jupyter Notebook 2

  2. Heston-SV-Model-BTC-Call-Option-Calibration Heston-SV-Model-BTC-Call-Option-Calibration Public

    This project implements the Heston Stochastic Volatility Model to price Bitcoin (BTC) call options. The goal is to calibrate the model parameters to minimize the difference between the model-implie…

    Python

  3. volatility_call_option volatility_call_option Public

    This project focuses on estimating the implied volatility of call options using numerical methods within the framework of the Black-Scholes Model. We employ both the Newton-Raphson and Bisection me…

    Python

  4. robo-advisor-lab/encode_hackathon_project robo-advisor-lab/encode_hackathon_project Public

    Jupyter Notebook

  5. ml_zoomcamp ml_zoomcamp Public

    Jupyter Notebook

  6. quant_analytics quant_analytics Public

    Jupyter Notebook