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Type: Organization
Python interface to TD Ameritrade (https://developer.tdameritrade.com)
Various indicators developed or collected for the Freqtrade
Database for L2 orderbook
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Passive Investing for the Average Joe
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Toolkit for integration and analysis
Course files for "Ocean/Atmosphere Time Series Analysis"
A use-case focused tutorial for time series forecasting with python
Time series deep learning models in TensorFlow-TFTS
Timeseries for everyone
TODS: An Automated Time-series Outlier Detection System
Distributed SQL database in Rust, written as a learning project
tpqoa is a Python wrapper package for the Oanda REST API v20 for algorithmic trading.
C++ 17 based library (with sample applications) for testing options based automated trading ideas using DTN IQ real time data feed and Interactive Brokers (TWS API) for trade execution. [I have a private repository which has more recent changes, which get back-ported randomly][irc: #tradeframe on OFTC]
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
股票、期货、期权交易系统及量化交易等相关开发技术
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A low overhead nanosecond clock based on x86 TSC
Time Series Cross-Validation -- an extension for scikit-learn
An intuitive library to extract features from time series.
Flexible time series feature extraction & processing
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
A python library for time-series smoothing and outlier detection in a vectorized way.
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.