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🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Real-time financial market data API, real-time forex data API, real-time stock data API, real-time cryptocurrency data API, real-time commodity data API service,real-time tick data,tick-by-tick quo…
Contrastive Multi-granularity Learning for Stock Trend Prediction
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
🚂💨 Deep Momentum Networks for Time Series Strategies
Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'
Benchmark Dataset of Limit Order Book in China Markets
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-201…
This repo contains some codes and outputs of my implementation of DeepLOB model.
stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
Intra day Stock Prediction 10 minutes into the future
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
use tcn and custom loss func and data from tiingo to predict stock prices
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
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 Advers…
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Advanced High Performance Data Science Toolbox for R by Laurae
This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial…
Use R machine learning to predict US equity premium outperformance using Prof. Amit Goyal's dataset
classification sample code using Keras
Machine Learning Techniques to extract useful forecasts, conclusions and decision making in Quant Finance