ayush-agarwal-0502 / Adjusting-short-straddle-Quant-bot-Links
Algorithmic implementation of automated adjustment of delta hedged initialized short straddle deployed over Derivatives (Options) market
☆17Updated 2 years ago
Alternatives and similar repositories for Adjusting-short-straddle-Quant-bot-
Users that are interested in Adjusting-short-straddle-Quant-bot- are comparing it to the libraries listed below
Sorting:
- Topic : Option trading Strategies , B&S , Implied Volatility &Stochastic & Local Volatility , Geometric Brownian Motion.☆26Updated last year
- This repo is for my articles published on Medium.com☆16Updated 2 years ago
- Dynamic portfolio optimization☆26Updated last year
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆67Updated 2 years ago
- These code have the objetive to calculate all the greeks in a real option contract ( using the Black&Scholes model), greeks like Delta,Th…☆16Updated 4 years ago
- A 50ETF Option Volatility Arbitrage Strategy Based on SABR Model☆25Updated 2 years ago
- Code for Undergraduate Dissertation; Exploration of Discrete Time Mean-Variance Hedging strategies 📈☆16Updated 3 years ago
- • Visualised trend and seasonality & conducted tests for checking stationarity of Time series for predicting volatility using GARCH Model…☆15Updated 2 years ago
- Mock pairs trading strategy and backtesting with Kalman iltering and pair selection using clustering and cointegration.☆12Updated 3 years ago
- Allows the generation of optimal portfolios with CoIn, Gumbel, and no copula constraint for the stochastic interest rate - constant elast…☆14Updated 2 years ago
- Stochastic volatility models and their application to Deribit crypro-options exchange☆12Updated 10 months ago
- stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.☆38Updated 2 years ago
- By means of stochastic volatility models☆44Updated 5 years ago
- Code repository for demos of the article 'Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders'.☆35Updated 2 years ago
- Algorithmic Portfolio Hedging. Black-Scholes Pricing for Dynamic Hedges to produce a Dynamic multi-asset Portfolio Hedging with the usage…☆56Updated 4 years ago
- Implementation of code snippets and exercises in the book Machine Learning for Asset Managers written by Prof. Marcos López de Prado.☆16Updated 5 years ago
- A low frequency statistical arbitrage strategy☆20Updated 6 years ago
- Find trading pairs with Machine Learning☆41Updated 4 years ago
- Different quantitative trading models research☆53Updated 9 months ago
- ☆24Updated 5 years ago
- Simulation of delta hedging☆17Updated 5 years ago
- ☆11Updated 4 years ago
- A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI☆18Updated 2 years ago
- Market Data & Derivatives Pricing Tutorial based on Jupyter notebooks☆38Updated 4 years ago
- ☆41Updated 4 years ago
- A Deep Learning Framework for Neural Derivative Hedging☆30Updated 3 years ago
- This notebook presents an example of implementation of my paper Carbonneau, A. (2020). Deep Hedging of Long-Term Financial Derivatives.☆31Updated 5 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆50Updated 5 years ago
- Design your own Trading Strategy☆39Updated last year
- A library for black-scholes euro options pricing, algorithmic delta hedging, and visualization☆61Updated 5 years ago