Pinned Repositories
AlgoPlus
AlgoPlus 2.0是使用c++语言开发的用于全市场交易的SDK，提供c++/python/java接口。
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
algotrading
Algorithmic trading framework for cryptocurrencies.
AlphaNetV3
Recurrent Neural Network for predicting Stock Returns
AlphaTrading
An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
arbitragerepair
Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.
artificial-intelligence-for-trading
Content for Udacity's AI in Trading NanoDegree.
freqtrade-strategies
Free trading strategies for Freqtrade bot
gs-quant
Python toolkit for quantitative finance
LiuAlgoTrader
Framework for algorithmic trading
Smalltarget108's Repositories
Smalltarget108/LiuAlgoTrader
Framework for algorithmic trading
Smalltarget108/AlphaNetV3
Recurrent Neural Network for predicting Stock Returns
Smalltarget108/awesome-quant-papers
This repository hosts my reading notes for academic papers.
Smalltarget108/BB_RPB_TSL
A Trading strategy for the Freqtrade crypto bot.
Smalltarget108/Binance-News-Sentiment-Bot
This is a fully functioning Binance trading bot that takes into account the news sentiment for the top 100 crypto feeds. If you like this project consider donating though the Brave browser to allow me to continuously improve the script.
Smalltarget108/chase
Project page of Chase
Smalltarget108/darknet
Convolutional Neural Networks
Smalltarget108/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
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-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
Smalltarget108/dracula
freqtrade strategy
Smalltarget108/Financial-GraphAttention
FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks
Smalltarget108/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
Smalltarget108/finclass-uai
Code for FinCLASS: Modeling Financial Uncertainty with Multivariate Temporal Entropy-based Curriculums at UAI 2021
Smalltarget108/freqtrade-configs
Smalltarget108/freqtrade_strs
some strategies
Smalltarget108/hummingbot
Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
Smalltarget108/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Smalltarget108/jesse
An advanced crypto trading bot written in Python
Smalltarget108/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Smalltarget108/Multi-Horizon-Forecasting-for-Limit-Order-Books
Smalltarget108/nextjs-blog
Smalltarget108/NostalgiaForInfinity
Trading strategy for the Freqtrade crypto bot
Smalltarget108/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Smalltarget108/pyalgotrade
Python Algorithmic Trading Library
Smalltarget108/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Smalltarget108/Python-for-Finance-Cookbook
Python for Finance Cookbook, published by Packt
Smalltarget108/slow-momentum-fast-reversion
This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).
Smalltarget108/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Smalltarget108/TAT-QA
TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.
Smalltarget108/Text2Event
An implementation for `Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction`
Smalltarget108/TradeTheEvent
Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021