wojtke / crypto-algorithmic-tradingLinks
LSTM neural network predicting price movements of Bitcoin, backtesting and visualisations.
☆19Updated 2 years ago
Alternatives and similar repositories for crypto-algorithmic-trading
Users that are interested in crypto-algorithmic-trading are comparing it to the libraries listed below
Sorting:
- This is the repo accompanying the paper: "A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bit…☆12Updated 5 months ago
- Classical Fama French Three Factor Model.☆23Updated 5 years ago
- LeonardoBerti00 / Data-Normalization-for-Bilinear-Structures-in-High-Frequency-Financial-Time-series-BiN-TABLPytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series☆13Updated last year
- Testing and implementation of ML algorithms for the analysis of cryptocurrency trends.☆11Updated last year
- ☆10Updated 6 years ago
- This repository contains dataset for paper FedNLP: An interpretable NLP System to Decode Federal Reserve Communications, published in SIG…☆14Updated last year
- A first experiment on how to use deep-value investing strategies to find valuable stocks☆13Updated 3 years ago
- This module is a simple trading system. I will compelete it gradually☆11Updated 3 years ago
- Some Quant ideas in Backtrader☆12Updated 4 years ago
- This project would demonstrate the following capabilities: 1. Extraction Loading and Transformation of S&P 500 data and company fundament…☆13Updated 4 years ago
- The NLP News Sentiment Factor Trading Strategy for a Portfolio of S&P 500 Stocks☆12Updated 5 years ago
- Python implementation of the Three Pass Regression Filter☆14Updated 5 years ago
- Pytorch implementation of deep learning models for financial time series forecasting using LOB☆20Updated 2 years ago
- Python trading module for the Rotman Interactive Trader☆20Updated 3 months ago
- This repository contains solution for prediction of stock price returns☆14Updated 6 years ago
- ☆20Updated 9 years ago
- The project is about predicting the stock market movement based on the news headlines that published on a particular day. The news data …☆15Updated 7 years ago
- Linear regression modelling of the Ames housing dataset, with the goal of predicting the house sale price, as published in Towards Data S…☆10Updated 2 months ago
- Algorithmic trading and backtests using backtrader☆13Updated 3 years ago
- MV Port is a Python package to perform Mean-Variance Analysis. It provides a Portfolio class with a variety of methods to help on your po…☆11Updated 3 months ago
- LLM and NLP models in Cryptocurrency Sentiment Analysis: A Comparative Classification Study☆19Updated last year
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Updated 3 years ago
- Second coursework & case from Sber Data Science competition. Links to scientific papers to which I will refer will be here.☆13Updated 4 years ago
- ☆29Updated 4 years ago
- Built a trading algorithm in Python for the Tesla stocks returning in 39% higher returns than a simple buy and hold strategy, over a peri…☆19Updated 6 years ago
- Pull price targets from IEXCloud and paper trade on Alpaca 🦙☆13Updated 5 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Updated 5 years ago
- Testing trading signals of commodity futures☆17Updated 5 years ago
- ☆11Updated 3 years ago
- ☆22Updated 8 months ago