Sublime
An inspiration engine for ideas
Jupyter Quant: A dockerized Jupyter Quant Research Environment in Python.
Available on GitHub: https://t.co/OKLF5eetC2
Quantum Monte Carlo Algorithm for Aolving Black-Scholes PDE’s for High-Dimensional Option Pricing in Finance & Complexity Analysis https://t.co/qETffafL2Z
E-book._10_passos_para_criar_uma_comunidade_do_zero._CM_School
A guide to building a community from scratch, covering key steps like defining purpose, understanding audience, creating content, setting rules, measuring metrics, and engaging members effectively.
Link
🚨BREAKING: A new Python library for algorithmic trading.
Introducing TensorTrade: An open-source Python framework for trading using Reinforcement Learning (AI) https://t.co/GdtZCPu1We
A Reddit user deposited $400 into Robinhood, then let ChatGPT pick option trades. 100% win reate over 10 days.
He uploads spreadsheets and screenshots with detailed fundamentals, options chains, technical indicators, and macro data, then tells each model to filter that information and propose trades that fit strict prob... See more
GitHub - nikhilnd/kalshi-market-making: QuantSC Spring '23 Project
github.com
How's the performance?
Backtesting options strategies can be tough since you need lots of data and a sophisticated backtesting engine.
QuantInsti's Quantra course walks you through it. https://t.co/1ugD8oo1a5