Ezequiel Parini Corominas's repositories

Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

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High-Frequency-Trading-Model-with-IB

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

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LLAMARUST

Run inference for Large Language Models on CPU, with Rust 🦀🚀🦙

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machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

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RSI-Analysis

The objective is to understand how many companies are above or below a specific threshold to understand the level of overbought or oversold of the companies within a specific index

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td-ameritrade-python-api

Unofficial Python API client library for TD Ameritrade

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awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

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Awesome-Quant-Machine-Learning-Trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

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God-Level-Data-Science-ML-Full-Stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

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gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

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QuantResearch

Quantitative analysis, strategies and backtests

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ByteTrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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Deep_Learning_Machine_Learning_Stock

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

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DupireNN

Neural network local volatility with dupire formula

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Financial-Risk-Management

Code for Financial Risk Management

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fromthetransistor

From the Transistor to the Web Browser, a rough outline for a 12 week course

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julia

The Julia Language: A fresh approach to technical computing.

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Jupyter-Notebooks

Quantitative Risk Book

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Papers

My Quant Research Papers (incl. Coding & Excel Examples)

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PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development and validation

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PyMySQL

Pure Python MySQL Client

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Python_Option_Pricing

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

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Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

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RustBooks

List of Rust books

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slimevolleygym

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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StudyBook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

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systematictradingexamples

Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com

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