add tech blog and open source sector for quant shops

update alpha collections
Update Readme.md
2026-07-29 03:37:44 +00:00 · 2022-12-11 17:27:42 +00:00 · 2022-11-28 16:29:20 +00:00 · 2022-11-28 10:55:45 +00:00 · 2022-11-20 15:18:25 +00:00 · 2022-11-20 19:44:32 +08:00
61 changed files with 1903 additions and 9891 deletions
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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
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+
+# Distribution / packaging
+.Python
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+.installed.cfg
+*.egg
+MANIFEST
+
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+.coverage.*
+.cache
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+
+# pyenv
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@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2021 Zhe Wang
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2021 Zhe Wang
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
@@ -0,0 +1,337 @@
+# Awesome Systematic Trading
+
+> or Quantitative Trading + a bit data science infra
+
+[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
+
+![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)
+![Java](https://img.shields.io/badge/java-%23ED8B00.svg?style=for-the-badge&logo=java&logoColor=white)
+![C++](https://img.shields.io/badge/c++-%2300599C.svg?style=for-the-badge&logo=c%2B%2B&logoColor=white)
+![JavaScript](https://img.shields.io/badge/javascript-%23323330.svg?style=for-the-badge&logo=javascript&logoColor=%23F7DF1E)
+![Rust](https://img.shields.io/badge/rust-%23000000.svg?style=for-the-badge&logo=rust&logoColor=white)
+![Go](https://img.shields.io/badge/go-%2300ADD8.svg?style=for-the-badge&logo=go&logoColor=white)
+![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23FA0F00.svg?style=for-the-badge&logo=jupyter&logoColor=white)
+
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=wangzhe3224/awesome-systematic-trading&type=Timeline)](https://star-history.com/#wangzhe3224/awesome-systematic-trading&Timeline)
+
+[希望阅读中文版？点我](./Readme_cn.md)
+
+A curated list of awesome libraries, packages and resources for Systematic Trading (Quantitative Trading)
+
+> Open access: all rights granted for use and re-use of any kind, by anyone, at no cost, under your choice of either the free MIT License or Creative Commons CC-BY International Public License.
+>
+> © 2021 Zhe Wang ([知乎](https://www.zhihu.com/people/wangzhetju) | [wangzhetju@gmail.com](mailto:wangzhetju@gmai.com))
+
+How do we pick the projects?
+
+- Fit in Systematic Trading / Quantitative Trading domain
+- Good coding style and software architecture
+- (Optional) Under active development
+- (Optional) Reasonable test coverage
+
+Overall, I tend to pick decent or promising libraries that closely related to systematic trading instead of including as many libraries as possible.
+
+ **Please raise a PR if you found some good fit projects for this repo or remove some outdated projects. Thanks!**
+
+Search page by languages you are interested in to find related libraries. For example: `Ctrl+F`, `Rust`
+
+And I count crypto as whole new category: [>> Click ME to Systematic Crypto](crypto_focus.md).
+
+- [Awesome Systematic Trading](#awesome-systematic-trading)
+  - [Star History](#star-history)
+  - [Backtest + live trading](#backtest--live-trading)
+    - [General purpose](#general-purpose)
+    - [Crypto currency focus](#crypto-currency-focus)
+    - [Machine Learning / Reinforcement Learning Focused](#machine-learning--reinforcement-learning-focused)
+  - [Alpha Collections](#alpha-collections)
+    - [Alpha](#alpha)
+    - [Arbitrage (Crypto)](#arbitrage-crypto)
+  - [Basic libraries](#basic-libraries)
+    - [Fundamental libraries](#fundamental-libraries)
+    - [Computation Graph](#computation-graph)
+    - [Alternative libraries](#alternative-libraries)
+      - [Numpy Alternatives](#numpy-alternatives)
+      - [Pandas Alternatives](#pandas-alternatives)
+  - [Analytic tools](#analytic-tools)
+    - [Metrics computation](#metrics-computation)
+    - [Indicators](#indicators)
+    - [Pricing](#pricing)
+    - [Risk](#risk)
+    - [Optimization](#optimization)
+    - [TimeSeries Analysis](#timeseries-analysis)
+  - [Visualization](#visualization)
+  - [Databases](#databases)
+  - [Data Source](#data-source)
+    - [Stocks and General](#stocks-and-general)
+    - [Crypto](#crypto)
+  - [Broker APIs](#broker-apis)
+  - [🔥 Quant Shops Code and Blog](#-quant-shops-code-and-blog)
+  - [Resources](#resources)
+    - [Books](#books)
+    - [Blogs](#blogs)
+    - [Tutorials](#tutorials)
+    - [Courses](#courses)
+  - [Relevant Projects](#relevant-projects)
+  - [Buy me a coffee?](#buy-me-a-coffee)
+
+## Backtest + live trading
+
+### General purpose
+
+> Event Driven Frameworks
+
+Note: the one marked as `Live Trading` has reasonable live trading support for at least 1 broker. Otherwise, backtest
+ function only.
+
+- [aat](https://github.com/AsyncAlgoTrading/aat) | `Python`, `C++`, `Live Trading`| - an asynchronous, event-driven framework for writing algorithmic trading strategies in python with optional acceleration in C++. It is designed to be modular and extensible, with support for a wide variety of instruments and strategies, live trading across (and between) multiple exchanges.
+- [* barter-rs](https://github.com/barter-rs/barter-rs) | `Rust` | - Open-source Rust framework for building event-driven live-trading & backtesting systems. Algorithmic trade with the peace of mind that comes from knowing your strategies have been backtested with a near-identical trading Engine.
+- [Better Quant](https://github.com/byrnexu/betterquant) | `C++`, `Live Trading` | - Better quant today, best quant tomorrow. 💪
+- [backtesting.py](https://github.com/kernc/backtesting.py) | `Python` | - Backtesting.py is a Python framework for inferring viability of trading strategies on historical (past) data. Improved upon the vision of Backtrader, and by all means surpassingly comparable to other accessible alternatives, Backtesting.py is lightweight, fast, user-friendly, intuitive, interactive, intelligent and, hopefully, future-proof.
+- [backtrader](https://github.com/mementum/backtrader) | `Python`, `Live Trading` | - Event driven Python Backtesting library for trading strategies
+- [FlashFunk](https://github.com/HFQR/FlashFunk) | `Rust` | -  High Performance Runtime in Rust
+- [finmarketpy](https://github.com/cuemacro/finmarketpy) | `Python` | - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
+- [gobacktest](https://github.com/gobacktest/gobacktest) | `Go` | - A Go implementation of event-driven backtesting framework
+- [Hikyuu](https://github.com/fasiondog/hikyuu) | `C++`, `Python`| - Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
+- [lumibot](https://github.com/Lumiwealth/lumibot/tree/8da88cadfe9ee35399dd69c94aa5ed3cf995f417) | `Python` | - A very simple yet useful backtesting and sample based live trading framework (a bit slow to run...)
+- [* nautilus_trader](https://github.com/nautechsystems/nautilus_trader) | `Python`, `Cython`, `Rust`, `Live Trading` | - A high-performance algorithmic trading platform and event-driven backtester
+- [QuantConnect](https://github.com/QuantConnect/Lean) | `C#`, `.NET`, `Live Trading` | - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
+- [QUANTAXIS](https://github.com/QUANTAXIS/QUANTAXIS) | `Python`, `Rust`, `Live Trading` | - QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
+- [Rqalpha](https://github.com/ricequant/rqalpha) | `Python` | - A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
+- [quanttrader](https://github.com/letianzj/quanttrader) | `Python` | - Backtest and live trading in Python. Event based. Similar to backtesting.py.
+- [sdoosa-algo-trade-python](https://github.com/sreenivasdoosa/sdoosa-algo-trade-python) | `Python` | - This project is mainly for newbies into algo trading who are interested in learning to code their own trading algo using python interpreter.
+- [* vnpy](https://github.com/vnpy/vnpy) | `Python`, `Stock`, `Futures`, `Crypto`, `Live Trading` | - Python-based open source quantitative trading system development framework, officially released in January 2015, has grown step by step into a full-featured quantitative trading platform
+- [WonderTrader](https://github.com/wondertrader/wondertrader) | `C++`, `Python` | - WonderTrader——量化研发交易一站式框架 
+- [zvt](https://github.com/zvtvz/zvt) | `Python`, `Stock`, `Backtest` | - Modular quant framework
+- [zipline](https://github.com/quantopian/zipline) | `Python` | - Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.
+
+> Vector Based Frameworks
+
+- [bt](https://github.com/pmorissette/bt) | `Python` | -  Flexible backtesting for Python based on Algo and Strategy Tree
+- [pysystemtrade](https://github.com/robcarver17/pysystemtrade) | `Python`, `Live Trading` | - Systematic Trading in python from book <Systematic Trading> by Rob Carver
+- [vectorbt](https://github.com/polakowo/vectorbt) | `Python`, `numba` | - vectorbt takes a novel approach to backtesting: it operates entirely on pandas and NumPy objects, and is accelerated by Numba to analyze any data at speed and scale. This allows for testing of many thousands of strategies in seconds.
+
+### Crypto currency focus
+
+- [bTrader](https://github.com/gabriel-milan/btrader) | `Rust` | - Triangle arbitrage trading bot for Binance
+- [crypto-crawler-rs](https://github.com/crypto-crawler/crypto-crawler-rs) | `Rust` | - Crawl orderbook and trade messages from crypto exchanges
+- [cryptotrader-core](https://github.com/monomadic/cryptotrader-core) | `Rust` | - Simple to use Crypto Exchange REST API client in rust. 
+- [openlimits](https://github.com/nash-io/openlimits) | `Rust` | - A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers. 
+- [Freqtrade](https://github.com/freqtrade/freqtrade) | `Python` | - Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
+- [* Hummingbot](https://github.com/CoinAlpha/hummingbot) | `Python`, `Cython`, `Live Trading` | - A client for crypto market making
+- [Jesse](https://github.com/jesse-ai/jesse) | `Python` | - Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.
+- [* OctoBot](https://github.com/Drakkar-Software/OctoBot) | `Python`, `Cython`, `Live Trading`| - Cryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interface
+- [Kelp](https://github.com/stellar/kelp) | `Go`, `Live Trading` | - Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
+- [exc](https://github.com/Nouzan/exc) | `Rust` | - The abstraction layer of exchanges.
+
+### Machine Learning / Reinforcement Learning Focused
+
+> ML, RL
+
+- [FinRL](https://github.com/AI4Finance-Foundation/FinRL) | `Python` | - FinRL is the first open-source framework to demonstrate the great potential of applying deep reinforcement learning in quantitative finance.
+- [* QLib (Microsoft)](https://github.com/microsoft/qlib) | `Python`, `Cython` | - Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
+- [TradingGym](https://github.com/Yvictor/TradingGym) | `Python`, `Live Trading` | - Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
+- [Stock Trading Bot using Deep Q-Learning](https://github.com/pskrunner14/trading-bot) | `Python` | - Stock Trading Bot using Deep Q-Learning 
+
+## Alpha Collections
+
+### Alpha
+
+- [Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD](https://github.com/je-suis-tm/quant-trading#15-vix-calculator)
+- [analyzingalpha](https://github.com/leosmigel/analyzingalpha)
+- [ThetaGang](https://github.com/brndnmtthws/thetagang) - ThetaGang is an IBKR bot for collecting money 
+  - https://www.reddit.com/r/options/comments/a36k4j/the_wheel_aka_triple_income_strategy_explained/
+- [PyTrendFollow](https://github.com/chrism2671/PyTrendFollow) | `Python` | - PyTrendFollow - systematic futures trading using trend following 
+- [czsc - 缠中说禅技术分析工具](https://github.com/waditu/czsc) | `Python` | - 缠中说禅技术分析工具；缠论；股票；期货；Quant；量化交易 
+
+### Arbitrage (Crypto)
+
+> Note: these bots are old and not maintained. I put them here just to show some logic of crypto arbitrage.
+  
+- [Blackbird](https://github.com/butor/blackbird) | `C++` | - Blackbird Bitcoin Arbitrage: a long/short market-neutral strategy 
+- [bitcoin-arbitrage](https://github.com/maxme/bitcoin-arbitrage) | `Python` | - Bitcoin arbitrage - opportunity detector 
+- [R2 Bitcoin Arbitrager](https://github.com/bitrinjani/r2) | `TypeScript` | - R2 Bitcoin Arbitrager is an automatic arbitrage trading system powered by Node.js + TypeScript.
+
+## Basic libraries
+
+### Fundamental libraries
+
+- [Cvxpy](https://github.com/cvxpy/cvxpy) | `Python`, `C++` | - A Python-embedded modeling language for convex optimization problems.
+- [Numpy](https://github.com/numpy/numpy) | `Python`, `C` | - The fundamental package for scientific computing with Python
+- [Scipy](https://github.com/scipy/scipy) | `Python`, `C` | - Fundamental algorithms for scientific computing in Python
+- [Pandas](https://github.com/pandas-dev/pandas) | `Python`, `Cython` | - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
+- [Sikit-learn](https://github.com/scikit-learn/scikit-learn) | `Python`, `Cython` | - Machine learning in Python
+- [Keras](https://github.com/keras-team/keras) | `Python` | - The most user friendly Deep Learning for humans in Python
+- [TensorFlow](https://github.com/tensorflow/tensorflow) | `Python`, `C++` | - More low level Deep Learning framework
+- [Pytorch](https://github.com/pytorch/pytorch) | `Python` | - Tensors and Dynamic neural networks in Python with strong GPU acceleration
+- [PyMC](https://github.com/pymc-devs/pymc) | `Python` | - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
+
+### Computation Graph
+
+- [Dask](https://github.com/dask/dask) | `Python` | - Parallel computing with task scheduling in Python with a Pandas like API
+- [Ray](https://github.com/ray-project/ray) | `Python`, `C++` | - An open source framework that provides a simple, universal API for building distributed applications.
+- [Incremental (JaneStreet)](https://github.com/janestreet/incremental) | `Ocaml` | - Incremental is a library that gives you a way of building complex computations that can update efficiently in response to their inputs changing, inspired by the work of Umut Acar et. al. on self-adjusting computations. Incremental can be useful in a number of applications
+- [GraphKit](https://github.com/yahoo/graphkit) | `Python` | - A lightweight Python module for creating and running ordered graphs of computations.
+- [Man MDF](https://github.com/man-group/mdf) | `Python` | - Data-flow programming toolkit for Python 
+- [Tributary](https://github.com/timkpaine/tributary) | `Python` | - Streaming reactive and dataflow graphs in Python
+
+### Alternative libraries
+
+#### Numpy Alternatives
+
+- [ndarray](https://github.com/rust-ndarray/ndarray) | `Rust` | - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
+
+#### Pandas Alternatives
+
+- [Polars](https://github.com/pola-rs/polars) | `Rust`, `Python` | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
+- [Vaex](https://github.com/vaexio/vaex) | `Python`, `C++` | - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second
+- [Modin](https://github.com/modin-project/modin) | `Python` |  - Modin: Speed up your Pandas workflows by changing a single line of code
+- [Koalas](https://github.com/databricks/koalas) | `Python` | - Koalas: pandas API on Apache Spark
+
+## Analytic tools
+
+### Metrics computation
+
+- [ffn](https://github.com/pmorissette/ffn) | `Python` | - A financial function library for Python
+- [quantstats](https://github.com/ranaroussi/quantstats) | `Python` | - Portfolio analytics for quants, written in Python
+
+### Indicators
+
+- [TA-Lib](https://ta-lib.org) | `C` | - Perform technical analysis of financial market data
+  - [Python Wrapper](https://github.com/mrjbq7/ta-lib) | `Python` |
+  - [Go Port](https://github.com/markcheno/go-talib) | `Go` |
+  - [Rust Wrapper](https://github.com/CLevasseur/ta-lib-rust) | `Rust` |
+- [ta-rust](https://github.com/greyblake/ta-rs) | `Rust` | - Technical analysis library for Rust language
+- [finta](https://github.com/peerchemist/finta) | `Python` | - Common financial technical indicators implemented in Pandas
+- [pandas-ta](https://github.com/twopirllc/pandas-ta) | `Python` | - Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns.
+
+### Pricing
+
+- [Quantlib](https://www.quantlib.org)
+  - [PyQL](https://github.com/enthought/pyql) | `Python`, `Cython` | - Python wrapper of the famous pricing library QuantLib
+  - [QuantLib.jl](https://github.com/pazzo83/QuantLib.jl) | `Julia` | - Quantlib implementation in pure Julia.
+- [FinancePy](https://github.com/domokane/FinancePy) | `Python` | - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
+- [tf-quant-finance](https://github.com/google/tf-quant-finance) - High-performance TensorFlow library for quantitative finance from Google
+
+### Risk
+
+- [pyfolio](https://github.com/quantopian/pyfolio) | `Python` | - Portfolio and risk analytics in Python
+
+### Optimization
+
+- [Deepdow](https://github.com/jankrepl/deepdow) | `Python` | - Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass.
+- [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) | `Python` | - Financial portfolio optimizations in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
+- [Riskfolio-Lib](https://github.com/dcajasn/Riskfolio-Lib) | `Python` | - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
+- [empyrial](https://github.com/ssantoshp/Empyrial) | `Python` | - Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors, officially released in March 2021.
+- [spectre](https://github.com/Heerozh/spectre) | `Python` | - spectre is a GPU-accelerated Parallel quantitative trading library, focused on performance.
+
+### TimeSeries Analysis
+
+- [statsmodels](http://statsmodels.sourceforge.net) - Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
+- [tsfresh](https://github.com/blue-yonder/tsfresh) - Automatic extraction of relevant features from time series.
+- [Facebook Prophet](https://github.com/facebook/prophet) - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
+- [pmdarima](https://github.com/alkaline-ml/pmdarima) - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
+
+## Visualization
+
+- [D-Tale (Man Group)](https://github.com/man-group/dtale) | `JavaScript`, `Python` | - D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures.
+- [mplfinance](https://github.com/matplotlib/mplfinance) | `Python` | - Financial Markets Data Visualization using Matplotlib
+- [btplotting](https://github.com/happydasch/btplotting) | `Python`, `bokeh` | - btplotting provides plotting for backtests, optimization results and live data from backtrader.
+
+## Databases
+
+- [Arctic (Man Group)](https://github.com/man-group/arctic) | `Python` | - High performance datastore for time series and tick data
+- [Marketstore](https://github.com/alpacahq/marketstore) | `Go` | - DataFrame Server for Financial Timeseries Data
+- [Tectonicdb](https://github.com/0b01/tectonicdb) | `Rust` | - Tectonicdb is a fast, highly compressed standalone database and streaming protocol for order book ticks.
+
+## Data Source
+
+### Stocks and General
+
+- [* OpenBB Terminal](https://github.com/OpenBB-finance/OpenBBTerminal) | `Python` | - Investment Research for Everyone, Anywhere.
+- [findatapy](https://github.com/cuemacro/findatapy) |`Python`| - findatapy creates an easy to use Python API to download market data from many sources including Quandl, Bloomberg, Yahoo, Google etc. using a unified high level interface.  
+- [yfinance](https://github.com/ranaroussi/yfinance) |`Python`| - yfinance offers a threaded and Pythonic way to download market data from Yahoo!Ⓡ finance.
+- [pandas-datareader](https://github.com/pydata/pandas-datareader) |`Python`| - Up to date remote data access for pandas, works for multiple versions of pandas.
+- [Wallstreet](https://github.com/mcdallas/wallstreet) |`Python`| - Wallstreet: Real time Stock and Option tools
+- [TuShare](https://github.com/waditu/tushare) |`Python`| - TuShare is a utility for crawling historical data of China stocks
+- [Investpy](https://github.com/alvarobartt/investpy) - Financial Data Extraction from Investing.com with Python
+- [AkShare](https://github.com/akfamily/akshare) |`Python`| - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
+- [Fundamental Analysis Data](https://github.com/JerBouma/FundamentalAnalysis) | `Python` | - Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.
+
+### Crypto
+
+- [Cryptofeed](https://github.com/bmoscon/cryptofeed) |`Python`| - Cryptocurrency Exchange Websocket Data Feed Handler with Asyncio
+
+## Broker APIs
+
+- [Ib_insync](https://github.com/erdewit/ib_insync) | `Python` | - Python sync/async framework for Interactive Brokers API
+- [PENDAX](https://github.com/CompendiumFi/PENDAX-SDK) | `JavaScript` | - A free Javascript library allowing simplified interaction with trading and data commands on a growing list of cryptocurrency exchanges like FTX, OKX, ByBit, & more.
+- [ccxt](https://github.com/ccxt/ccxt) | `Python`, `JavaScript` | - A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
+- [Coinnect](https://github.com/hugues31/coinnect) | `Rust` | - Coinnect is a Rust library aiming to provide a complete access to main crypto currencies exchanges via REST API.
+- More is coming... (PR welcome)
+
+## 🔥 Quant Shops Code and Blog
+
+- **JaneStreet**
+  - [Janestreet Tech Blog](https://blog.janestreet.com/)
+  - [Open Source](https://opensource.janestreet.com/)
+    - Tech stack: Ocaml, C, F#
+- **Man AHL**
+  - [Man Group Tech Blog](https://www.man.com/tech-articles-all)
+  - [Open Source](https://github.com/man-group)
+    - Tech stack: Python, JavaScript, Java, C, Go
+- **DE Show**
+  - [Open Source](https://github.com/deshaw)
+    - Tech stack: Python, TypeScript, JavaScript, Rust, Nix
+- **Two Sigma**
+  - [Two Signal Engineering](https://www.twosigma.com/topic/engineering/)
+  - [Open Source](https://github.com/twosigma)
+    - Tech stack: Python, Java, C, Clojure, Rust
+- **Hudson River Trading - HRT**
+  - [HRT Engineering](https://www.hudsonrivertrading.com/hrtbeat/category/engineering/)
+
+## Resources
+
+### Books
+
+- [Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage (2021)](https://www.amazon.co.uk/Quantitative-Portfolio-Management-Statistical-Arbitrage/dp/1119821320/ref=asc_df_1119821320/?tag=googshopuk-21&linkCode=df0&hvadid=534858257189&hvpos=&hvnetw=g&hvrand=3040398248892159445&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9044954&hvtargid=pla-919734400242&psc=1&th=1&psc=1)
+- [Algorithmic Trading with Python (2020) by Chris Conlan](https://github.com/chrisconlan/algorithmic-trading-with-python)
+- [Python for Algorithmic Trading (2020) by Dr. Yves J. Hilpisch](https://github.com/yhilpisch/py4at)
+- [Systematic Trading: A unique new method for designing trading and investing systems by Robert Carver](https://github.com/robcarver17/pysystemtrade)
+- [Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python](https://github.com/stefan-jansen/machine-learning-for-trading)
+- [Advances in Financial Machine Learning](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises)
+- [Machine Learning for Asset Managers](https://github.com/emoen/Machine-Learning-for-Asset-Managers)
+- More is coming... (PR welcome)
+
+### Blogs
+
+- [Proof Engineering: The Algorithmic Trading Platform](https://medium.com/prooftrading/proof-engineering-the-algorithmic-trading-platform-b9c2f195433d)
+
+### Tutorials
+
+- [Algorithmic Trading for Cryptocurrencies in Python](https://github.com/tudorelu/tudorials/tree/master/trading) - A simple yet practical experiment tutorial for cryto trading.
+
+### Courses
+
+- [Hudson and Thames Quantitative Research](https://github.com/hudson-and-thames) - Our mission is to promote the scientific method within investment management by codifying frameworks, algorithms, and best practices.
+- More is coming... (PR welcome)
+
+## Relevant Projects
+
+- [量化交易知识集 @ 泛程序员](https://github.com/wangzhe3224/systematic-trading-knowledge-collection) - Collect knowledge around systematic trading, including software design, trading strategies, statistical skill. 量化交易/系统化交易知识集
+- [Awesome Quant 中文](https://github.com/thuquant/awesome-quant) -  中国的Quant相关资源索引
+- [awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading) - List of awesome resources for machine learning-based algorithmic trading
+- [Awesome Crypto Trading Bots](https://github.com/botcrypto-io/awesome-crypto-trading-bots)
+
+## Buy me a coffee?
+
+It takes time to produce videos, articles, and maintains the repositories.
+Feel free to support me :) thanks.
+
+- [Patreon](https://www.patreon.com/funcoder777)
+- ETH: 0xb5fEE7B6776877bB78C2b7594802C6a09f52D9B7
+- BTC: bc1qrjrffv7aaf5f4f6dydkt4yaukt4297vedd6w6p
+- 支付宝
+
+<img src="https://github.com/wangzhe3224/awesome-systematic-trading/blob/master/assets/IMG_0825.jpg" width="200" height="200" />
@@ -0,0 +1,300 @@
+# 棒棒的系统化交易
+
+> 量化交易 + 一点数据科学
+
+[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
+
+![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)
+![Java](https://img.shields.io/badge/java-%23ED8B00.svg?style=for-the-badge&logo=java&logoColor=white)
+![C++](https://img.shields.io/badge/c++-%2300599C.svg?style=for-the-badge&logo=c%2B%2B&logoColor=white)
+![JavaScript](https://img.shields.io/badge/javascript-%23323330.svg?style=for-the-badge&logo=javascript&logoColor=%23F7DF1E)
+![Rust](https://img.shields.io/badge/rust-%23000000.svg?style=for-the-badge&logo=rust&logoColor=white)
+![Go](https://img.shields.io/badge/go-%2300ADD8.svg?style=for-the-badge&logo=go&logoColor=white)
+![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23FA0F00.svg?style=for-the-badge&logo=jupyter&logoColor=white)
+[Start Tracker](https://seladb.github.io/StarTrack-js/#/preload?r=wangzhe3224,awesome-systematic-trading)
+
+[English Version](./Readme.md)
+
+> Open access: all rights granted for use and re-use of any kind, by anyone, at no cost, under your choice of either the free MIT License or Creative Commons CC-BY International Public License.
+>
+> © 2021 Zhe Wang ([知乎](https://www.zhihu.com/people/wangzhetju) | [wangzhetju@gmail.com](mailto:wangzhetju@gmai.com))
+
+我们怎么选项目呢？
+
+- 属于系统交易和量化交易范畴
+- 现在还在积极维护的
+- 具有优秀的编程书写风格和软件架构
+- (不全是) 有覆盖到测试
+
+ **如果你找到好的项目，或者想删除过时的项目，可以 raise PR 哦!**
+
+可以用快捷查找方式找到相关的libraries，比如：`Ctrl+F`, `Rust`
+
+ 关于crypto相关的: [>> 点这里 Systematic Crypto](crypto_focus.md).
+
+ - [Awesome Systematic Trading](#awesome-systematic-trading)
+   - [回测 + 实时交易](#backtest--live-trading)
+     - [General purpose](#general-purpose)
+     - [Crypto 相关](#crypto-currency-focus)
+     - [机器学习 / 强化学习](#machine-learning--reinforcement-learning-focused)
+   - [Alpha Collections](#alpha-collections)
+     - [Alpha](#alpha)
+     - [套利 (Crypto)](#arbitrage-crypto)
+   - [基本日常用到的库集合](#basic-libraries)
+     - [基础的库libraries](#fundamental-libraries)
+     - [计算图 Computation Graph](#computation-graph)
+     - [其他可用的库 libraries](#alternative-libraries)
+       - [Numpy Alternatives](#numpy-alternatives)
+       - [Pandas Alternatives](#pandas-alternatives)
+   - [分析工具](#analytic-tools)
+     - [指标计算](#metrics-computation)
+     - [指标](#indicators)
+     - [定价](#pricing)
+     - [风险](#risk)
+     - [优化](#optimization)
+     - [时间序列分析 TimeSeries Analysis](#timeseries-analysis)
+   - [可视化](#visualization)
+   - [数据库](#databases)
+   - [数据源](#data-source)
+     - [股票 Stocks and General](#stocks-and-general)
+     - [加密货币](#crypto)
+   - [Broker APIs](#broker-apis)
+   - [资源 Resources](#resources)
+     - [书籍](#books)
+     - [博客](#blogs)
+     - [教程](#tutorials)
+     - [专业课程](#courses)
+   - [其他相关的项目 Relevant Projects](#relevant-projects)
+   - [Buy me a coffee?](#buy-me-a-coffee)
+
+
+## 回测 + 实时交易
+
+### General purpose
+
+> 事件驱动框架
+
+Note: 如果标有`Live Trading` 表示具有实时交易功能（至少一个），否则的话，只有回测功能而已。
+
+- [aat](https://github.com/AsyncAlgoTrading/aat) | `Python`, `C++`, `Live Trading`| - 一个异步的、事件驱动的框架，主要用于编写Python算法交易策略（可以选择C++作为加速）。其具有模块化，可扩展性，支持多种工具和策略的特点，同时支持多个交易所之间进行实时交易。
+- [barter-rs](https://gitlab.com/open-source-keir/financial-modelling/trading/barter-rs) | `Rust` | - 开源Rust框架，用于建立事件驱动实时交易&回测系统。Open-source Rust framework for building event-driven live-trading & backtesting systems. Algorithmic trade with the peace of mind that comes from knowing your strategies have been backtested with a near-identical trading Engine.
+- [backtesting.py](https://github.com/kernc/backtesting.py) | `Python` | - Backtesting.py 是一个 Python 框架，用于根据历史（过去）数据推断交易策略的可行性。 在 Backtrader 的基础上进行了改进，且与其他的替代方案相比，Backtesting.py 是轻量级的、快速的、用户友好的、直观的、交互式的、智能的，并且有望面向未来。
+- [backtrader](https://github.com/mementum/backtrader) | `Python`, `Live Trading` | - 用于交易策略的事件驱动 Python 回测库
+- [FlashFunk](https://github.com/HFQR/FlashFunk) | `Rust` | -  High Performance Runtime in Rust
+- [finmarketpy](https://github.com/cuemacro/finmarketpy) | `Python` | - 用于回测交易策略和分析金融市场的 Python 库(formerly pythalesians)
+- [gobacktest](https://github.com/gobacktest/gobacktest) | `Go` | - 基于Go的事件驱动回测框架
+- [lumibot](https://github.com/Lumiwealth/lumibot/tree/8da88cadfe9ee35399dd69c94aa5ed3cf995f417) | `Python` | - 一个非常简单但有用的回测和基于样本的实时交易框架（运行起来有点慢......）
+- [nautilus_trader](https://github.com/nautechsystems/nautilus_trader) | `Python`, `Cython`, `Rust`, `Live Trading` | - 高性能算法交易平台和事件驱动回测器
+- [QuantConnect](https://github.com/QuantConnect/Lean) | `C#`, `.NET`, `Live Trading` | - Lean 算法交易引擎 by QuantConnect (Python, C#)
+- [QUANTAXIS](https://github.com/QUANTAXIS/QUANTAXIS) | `Python`, `Rust`, `Live Trading` | - QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
+- [Rqalpha](https://github.com/ricequant/rqalpha) | `Python` | - 一个可扩展、可替换的 Python 算法回测 && 交易框架，支持多种证券
+- [quanttrader](https://github.com/letianzj/quanttrader) | `Python` | - 一个完全的基于python的事件驱动回测和量化交易者的实时交易库。
+- [sdoosa-algo-trade-python](https://github.com/sreenivasdoosa/sdoosa-algo-trade-python) | `Python` | - 该项目主要面向有兴趣学习使用 python 解释器编写自己的交易算法的算法交易新手。
+- [vnpy](https://github.com/vnpy/vnpy) | `Python`, `Stock`, `Futures`, `Crypto`, `Live Trading` | - 基于Python的开源量化交易系统开发框架，2015年1月正式发布，逐步成长为功能齐全的量化交易平台
+- [WonderTrader](https://github.com/wondertrader/wondertrader) | `C++`, `Python` | - WonderTrader——量化研发交易一站式框架
+- [zvt](https://github.com/zvtvz/zvt) | `Python`, `Stock`, `Backtest` | - Modular quant framework
+- [zipline](https://github.com/quantopian/zipline) | `Python` | - Zipline 是一个 Pythonic 算法交易库，用于回测的事件驱动系统。
+
+> Vector Based Frameworks
+
+- [bt](https://github.com/pmorissette/bt) | `Python` | -  bt是一个基于Python的灵活回测框架，用于Algo和策略树中。
+- [pysystemtrade](https://github.com/robcarver17/pysystemtrade) | `Python`, `Live Trading` | - <Systematic Trading> by Rob Carver这本书的系统交易代码实现
+- [vectorbt](https://github.com/polakowo/vectorbt) | `Python`, `numba` | - vectorbt 采用了一种新颖的回测方法：它完全在 pandas 和 NumPy 对象上运行，并由 Numba 加速对大规模的数据进行分析，这使得于几秒钟内测试数千种策略。
+
+### 加密货币相关
+
+- [bTrader](https://github.com/gabriel-milan/btrader) | `Rust` | - Binance三角套利交易机器人
+- [crypto-crawler-rs](https://github.com/crypto-crawler/crypto-crawler-rs) | `Rust` | - 从加密货币交易所抓取订单簿和交易消息
+- [cryptotrader-core](https://github.com/monomadic/cryptotrader-core) | `Rust` | - 简单易用的Crypto Exchange REST API client(in Rust)
+- [openlimits](https://github.com/nash-io/openlimits) | `Rust` | - 一个 Rust 高性能加密货币交易 API，支持多个交易所和语言包装器。
+- [Freqtrade](https://github.com/freqtrade/freqtrade) | `Python` | - Freqtrade 是一个用 Python 编写的免费开源加密交易机器人。 它旨在支持所有主要交易所并通过 Telegram 进行控制。 它包含回测、绘图和资金管理工具以及通过机器学习进行的策略优化。
+- [Hummingbot](https://github.com/CoinAlpha/hummingbot) | `Python`, `Cython`, `Live Trading` | - A client for crypto market making
+- [Jesse](https://github.com/jesse-ai/jesse) | `Python` | - Jesse 是一个先进的加密交易框架，旨在简化交易策略的研究和定义。
+- [OctoBot](https://github.com/Drakkar-Software/OctoBot) | `Python`, `Cython`, `Live Trading`| - 具有高级 Web 界面的用于 TA、套利和社交交易的加密货币交易机器人
+- [Kelp](https://github.com/stellar/kelp) | `Go`, `Live Trading` | - Kelp 是一个免费的开源交易机器人，适用于 Stellar DEX 和 100 多个中心化交易所
+- [exc](https://github.com/Nouzan/exc) | `Rust` | - Exc 是一个加密货币交易所API抽象层实现，旨在让使用者更关注于策略实现。
+
+###  机器学习/强化学习
+
+> ML, RL
+
+- [FinRL](https://github.com/AI4Finance-Foundation/FinRL) | `Python` | - FinRL 是第一个展示在量化金融中应用深度强化学习的巨大潜力的开源框架。
+- [QLib (Microsoft)](https://github.com/microsoft/qlib) | `Python`, `Cython` | - Qlib是一个面向AI的量化投资平台，旨在挖掘潜力，赋能研究，创造AI技术在量化投资中的价值。 使用 Qlib，您可以轻松尝试您的想法以创建更好的量化投资策略。 越来越多的 SOTA Quant 研究作品/论文在 Qlib 中发布。
+- [TradingGym](https://github.com/Yvictor/TradingGym) | `Python`, `Live Trading` | - 用于训练强化学习代理或简单规则库算法的交易和回测环境。
+- [Stock Trading Bot using Deep Q-Learning](https://github.com/pskrunner14/trading-bot) | `Python` | - 使用Deep Q Learning的股票交易机器人
+
+## Alpha 集合
+
+### Alpha
+
+- [analyzingalpha](https://github.com/leosmigel/analyzingalpha)
+- [ThetaGang](https://github.com/brndnmtthws/thetagang) - ThetaGang is an IBKR bot for collecting money
+  - https://www.reddit.com/r/options/comments/a36k4j/the_wheel_aka_triple_income_strategy_explained/
+
+### 套利 (Crypto) 
+
+> 注意：这些项目很旧，没有维护。 我把它们放在这里只是为了展示一些加密套利的逻辑。
+
+- [Blackbird](https://github.com/butor/blackbird) | `C++` | - 黑鸟比特币套利：多头/空头市场中性策略
+- [bitcoin-arbitrage](https://github.com/maxme/bitcoin-arbitrage) | `Python` | - 比特币套利 - 机会监控器
+- [R2 Bitcoin Arbitrager](https://github.com/bitrinjani/r2) | `TypeScript` | - R2 Bitcoin Arbitrager 是一个由 Node.js + TypeScript 提供支持的自动套利交易系统。
+
+## 基本日常用到的库集合
+
+### 基础库
+
+- [Cvxpy](https://github.com/cvxpy/cvxpy) | `Python`, `C++` | - 用于凸优化问题的 Python 嵌入式建模语言.
+- [Numpy](https://github.com/numpy/numpy) | `Python`, `C` | - 使用 Python 进行科学计算的基础库
+- [Scipy](https://github.com/scipy/scipy) | `Python`, `C` | - 科学计算的基础算法(Python)
+- [Pandas](https://github.com/pandas-dev/pandas) | `Python`, `Cython` | - 灵活而强大的 Python 数据分析/操作库，提供类似于 R 的数据结构、框架对象、统计函数等
+- [Sikit-learn](https://github.com/scikit-learn/scikit-learn) | `Python`, `Cython` | - Machine learning in Python
+- [Keras](https://github.com/keras-team/keras) | `Python` | - 最友好的强化学习(in Python)
+- [TensorFlow](https://github.com/tensorflow/tensorflow) | `Python`, `C++` | - 更底层的深度学习框架
+- [Pytorch](https://github.com/pytorch/pytorch) | `Python` | - 具有强大 GPU 加速功能的 Python 张量和动态神经网络
+- [PyMC](https://github.com/pymc-devs/pymc) | `Python` | - Python 中的概率编程：使用 Aesara 进行贝叶斯建模和概率机器学习
+
+### Computation Graph计算图
+
+- [Dask](https://github.com/dask/dask) | `Python` | - 在 Python 中使用 Pandas 之类 API 进行任务调度的并行计算
+- [Ray](https://github.com/ray-project/ray) | `Python`, `C++` | - An open source framework that provides a simple, universal API for building distributed applications.
+- [Incremental (JaneStreet)](https://github.com/janestreet/incremental) | `Ocaml` | -  Incremental 是一个库，它为您提供了一种构建复杂计算的方法，该计算可以有效地更新以响应输入的变化，灵感来自 Umut Acar et. al。关于自调整计算。 incremental在许多应用程序中都很有用
+- [GraphKit](https://github.com/yahoo/graphkit) | `Python` | - 用于创建和运行有序计算图的轻量级 Python 模块。
+- [Man MDF](https://github.com/man-group/mdf) | `Python` | - Python数据流编程工具包
+- [Tributary](https://github.com/timkpaine/tributary) | `Python` | - Python 流式处理反应式和数据流图
+
+### 其他可用的库 libraries
+
+#### Numpy Alternatives
+
+- [ndarray](https://github.com/rust-ndarray/ndarray) | `Rust` | - ndarray: 具有数组视图、多维切片和高效操作的 N 维数组
+
+#### Pandas Alternatives
+
+- [Polars](https://github.com/pola-rs/polars) | `Rust`, `Python` | - Polars 是使用 Apache Arrow Columnar Format 作为内存模型在 Rust 中实现的速度极快的 DataFrames 库。
+- [Vaex](https://github.com/vaexio/vaex) | `Python`, `C++` | - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second
+- [Modin](https://github.com/modin-project/modin) | `Python` |  - Modin：通过更改一行代码来加快 Pandas 工作流程
+- [Koalas](https://github.com/databricks/koalas) | `Python` | - Koalas: pandas API on Apache Spark
+
+## 分析工具 Analytic tools
+
+### 指标计算 Metrics computation
+
+- [ffn](https://github.com/pmorissette/ffn) | `Python` | - Python的金融函数库
+- [quantstats](https://github.com/ranaroussi/quantstats) | `Python` | - 用 Python 编写的量化投资组合分析
+
+### 指标 Indicators
+
+- [TA-Lib](https://ta-lib.org) | `C` | - 对金融市场数据进行技术分析
+  - [Python Wrapper](https://github.com/mrjbq7/ta-lib) | `Python` |
+  - [Go Port](https://github.com/markcheno/go-talib) | `Go` |
+  - [Rust Wrapper](https://github.com/CLevasseur/ta-lib-rust) | `Rust` |
+- [ta-rust](https://github.com/greyblake/ta-rs) | `Rust` | - Rust金融分析库
+- [finta](https://github.com/peerchemist/finta) | `Python` | - Pandas常用金融技术指标
+- [pandas-ta](https://github.com/twopirllc/pandas-ta) | `Python` | - Pandas TA is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns.
+
+### 定价 Pricing
+
+- [Quantlib](https://www.quantlib.org)
+  - [PyQL](https://github.com/enthought/pyql) | `Python`, `Cython` | - Python wrapper of the famous pricing library QuantLib
+  - [QuantLib.jl](https://github.com/pazzo83/QuantLib.jl) | `Julia` | - Quantlib implementation in pure Julia.
+- [FinancePy](https://github.com/domokane/FinancePy) | `Python` | - Python 金融库，专注于金融衍生品的定价和风险管理，包括固定收益、股票、外汇和信用衍生品。
+- [tf-quant-finance](https://github.com/google/tf-quant-finance) - 量化金融的高性能 TensorFlow 库。
+
+### 风险 Risk
+
+- [pyfolio](https://github.com/quantopian/pyfolio) | `Python` | - Python 投资组合和风险分析
+
+### 优化 Optimization
+
+- [Deepdow](https://github.com/jankrepl/deepdow) | `Python` | - Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass.
+- [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) | `Python` | - python 中的金融投资组合优化，包括经典有效前缘、Black-Litterman、分层风险平价策略
+- [Riskfolio-Lib](https://github.com/dcajasn/Riskfolio-Lib) | `Python` | - Python 投资组合优化和量化战略资产配置
+- [empyrial](https://github.com/ssantoshp/Empyrial) | `Python` | - Empyrial 是一个基于 Python 的开源量化投资库，致力于金融机构和散户投资者，于 2021 年 3 月正式发布。
+- [spectre](https://github.com/Heerozh/spectre) | `Python` | - Spectre 是一个 GPU 加速的并行量化交易库，专注于性能。
+
+### 时间序列分析 TimeSeries Analysis
+
+- [statsmodels](http://statsmodels.sourceforge.net) - 允许用户探索数据、估计统计模型和执行统计测试的 Python 模块。
+- [tsfresh](https://github.com/blue-yonder/tsfresh) - 从时间序列中自动提取相关特征。
+- [Facebook Prophet](https://github.com/facebook/prophet) - 用于为具有线性或非线性增长的多个季节性的时间序列数据生成高质量预测的工具。
+- [pmdarima](https://github.com/alkaline-ml/pmdarima) - 一个统计库，旨在填补 Python 时间序列分析功能的空白，包括与 R 的 auto.arima 函数等效的功能。
+
+## 可视化 Visualization
+
+- [D-Tale (Man Group)](https://github.com/man-group/dtale) | `JavaScript`, `Python` | - D-Tale 是 Flask 后端和 React 前端的组合，提供查看和分析 Pandas 数据结构功能。
+- [mplfinance](https://github.com/matplotlib/mplfinance) | `Python` | - 使用 Matplotlib 进行金融市场数据可视化
+- [btplotting](https://github.com/happydasch/btplotting) | `Python`, `bokeh` | - btplotting 提供回测、优化结果和来自 backtrader 的实时数据的绘图。
+
+## 数据库 Databases
+
+- [Arctic (Man Group)](https://github.com/man-group/arctic) | `Python` | - 时间序列和tick data的高性能数据存储
+- [Marketstore](https://github.com/alpacahq/marketstore) | `Go` | - 金融时间序列数据的 DataFrame 服务器
+- [Tectonicdb](https://github.com/0b01/tectonicdb) | `Rust` | - Tectonicdb 是一个快速、高度压缩的独立数据库和order book tick串流协议。
+
+## 数据源 Data Source
+
+### 股票和其他 Stocks and General
+
+- [findatapy](https://github.com/cuemacro/findatapy) |`Python`| - findatapy 创建了一个易于使用的 Python API，使用统一的高级接口从 Quandl、Bloomberg、Yahoo、Google 等多个来源下载市场数据。
+- [yfinance](https://github.com/ranaroussi/yfinance) |`Python`| - yfinance 提供了从 Yahoo!Ⓡ Finance 下载市场数据。
+- [pandas-datareader](https://github.com/pydata/pandas-datareader) |`Python`| - 最新远程数据访问，适用于多个版本的 pandas。
+- [Wallstreet](https://github.com/mcdallas/wallstreet) |`Python`| - Wallstreet: 实时股票和期权工具
+- [TuShare](https://github.com/waditu/tushare) |`Python`| - TuShare是一个用于抓取中国股票历史数据的实用程序
+- [Investpy](https://github.com/alvarobartt/investpy) - 使用 Python 从 Investing.com 提取财务数据
+- [AkShare](https://github.com/akfamily/akshare) |`Python`| - AKShare 是一个优雅简洁的 Python 金融数据接口库，专为人类打造！ 开源财经数据接口库
+- [Fundamental Analysis Data](https://github.com/JerBouma/FundamentalAnalysis) | `Python` | - 是一个成熟的基本面分析库，能够收集 20.000 多家公司的 20 年公司简介、财务报表、比率和股票数据。
+
+### Crypto
+
+- [Cryptofeed](https://github.com/bmoscon/cryptofeed) |`Python`| - Cryptocurrency Exchange Websocket Data Feed Handler with Asyncio
+
+## Broker APIs
+
+- [Ib_insync](https://github.com/erdewit/ib_insync) | `Python` | - P盈透证券API的同步/异步python框架
+- [ccxt](https://github.com/ccxt/ccxt) | `Python`, `JavaScript` | - 一个 JavaScript / Python / PHP 加密货币交易 API，支持 100 多个比特币/山寨币交易所
+- [Coinnect](https://github.com/hugues31/coinnect) | `Rust` | - Coinnect 是一个 Rust 库，旨在通过 REST API 提供对主要加密货币交易所的完整访问。
+- More is coming... (欢迎PR)
+
+## 资源 Resources
+
+### 书籍
+
+- [Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage (2021)](https://www.amazon.co.uk/Quantitative-Portfolio-Management-Statistical-Arbitrage/dp/1119821320/ref=asc_df_1119821320/?tag=googshopuk-21&linkCode=df0&hvadid=534858257189&hvpos=&hvnetw=g&hvrand=3040398248892159445&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9044954&hvtargid=pla-919734400242&psc=1&th=1&psc=1)
+- [Algorithmic Trading with Python (2020) by Chris Conlan](https://github.com/chrisconlan/algorithmic-trading-with-python)
+- [Python for Algorithmic Trading (2020) by Dr. Yves J. Hilpisch](https://github.com/yhilpisch/py4at)
+- [Systematic Trading: A unique new method for designing trading and investing systems by Robert Carver](https://github.com/robcarver17/pysystemtrade)
+- [Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python](https://github.com/stefan-jansen/machine-learning-for-trading)
+- [Advances in Financial Machine Learning](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises)
+- [Machine Learning for Asset Managers](https://github.com/emoen/Machine-Learning-for-Asset-Managers)
+- More is coming... (PR welcome)
+
+### 博客
+
+- [Proof Engineering: The Algorithmic Trading Platform](https://medium.com/prooftrading/proof-engineering-the-algorithmic-trading-platform-b9c2f195433d) 证明工程：算法交易平台
+
+### 教程 Tutorials
+
+- [Algorithmic Trading for Cryptocurrencies in Python](https://github.com/tudorelu/tudorials/tree/master/trading) - 一个简单而实用的加密交易教程。
+
+### 专业课程 Courses
+
+- [Hudson and Thames Quantitative Research](https://github.com/hudson-and-thames) - 目标是提倡使用编纂框架、算法和最佳实践等方式促进投资管理中的科学方法。
+- More is coming... (PR welcome)
+
+## 相关项目 Relevant Projects
+
+- [量化交易知识集 @ 泛程序员](https://github.com/wangzhe3224/systematic-trading-knowledge-collection) - 收集有关系统交易的知识，包括软件设计、交易策略、统计技能. 量化交易/系统化交易知识集
+- [Awesome Quant 中文](https://github.com/thuquant/awesome-quant) -  中国的Quant相关资源索引
+- [awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading) - 机器学习的算法交易的资源列表
+- [Awesome Crypto Trading Bots](https://github.com/botcrypto-io/awesome-crypto-trading-bots)
+
+## Buy me a coffee?
+
+作者收集资料和维护项目等花费了不少心思和时间，如果你想支持一下的话，可以送我一杯咖啡呀！:)
+
+- [Patreon](https://www.patreon.com/funcoder777)
+- ETH: 0xb5fEE7B6776877bB78C2b7594802C6a09f52D9B7
+- BTC: bc1qrjrffv7aaf5f4f6dydkt4yaukt4297vedd6w6p
+- 支付宝
+
+<img src="https://github.com/wangzhe3224/awesome-systematic-trading/blob/master/assets/IMG_0825.jpg" width="200" height="200" />
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@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.ja=function(){this.pipeline.reset(),this.pipeline.add(e.ja.trimmer,e.ja.stopWordFilter,e.ja.stemmer),r?this.tokenizer=e.ja.tokenizer:(e.tokenizer&&(e.tokenizer=e.ja.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.ja.tokenizer))};var t=new e.TinySegmenter;e.ja.tokenizer=function(i){var n,o,s,p,a,u,m,l,c,f;if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t.toLowerCase()):t.toLowerCase()});for(o=i.toString().toLowerCase().replace(/^\s+/,""),n=o.length-1;n>=0;n--)if(/\S/.test(o.charAt(n))){o=o.substring(0,n+1);break}for(a=[],s=o.length,c=0,l=0;c<=s;c++)if(u=o.charAt(c),m=c-l,u.match(/\s/)||c==s){if(m>0)for(p=t.segment(o.slice(l,c)).filter(function(e){return!!e}),f=l,n=0;n<p.length;n++)r?a.push(new e.Token(p[n],{position:[f,p[n].length],index:a.length})):a.push(p[n]),f+=p[n].length;l=c+1}return a},e.ja.stemmer=function(){return function(e){return e}}(),e.Pipeline.registerFunction(e.ja.stemmer,"stemmer-ja"),e.ja.wordCharacters="一二三四五六七八九十百千万億兆一-龠々〆ヵヶぁ-んァ-ヴーｱ-ﾝﾞa-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.ja.trimmer=e.trimmerSupport.generateTrimmer(e.ja.wordCharacters),e.Pipeline.registerFunction(e.ja.trimmer,"trimmer-ja"),e.ja.stopWordFilter=e.generateStopWordFilter("これ それ あれ この その あの ここ そこ あそこ こちら どこ だれ なに なん 何 私 貴方 貴方方 我々 私達 あの人 あのかた 彼女 彼 です あります おります います は が の に を で え から まで より も どの と し それで しかし".split(" ")),e.Pipeline.registerFunction(e.ja.stopWordFilter,"stopWordFilter-ja"),e.jp=e.ja,e.Pipeline.registerFunction(e.jp.stemmer,"stemmer-jp"),e.Pipeline.registerFunction(e.jp.trimmer,"trimmer-jp"),e.Pipeline.registerFunction(e.jp.stopWordFilter,"stopWordFilter-jp")}});
@@ -1 +0,0 @@
-module.exports=require("./lunr.ja");
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.kn=function(){this.pipeline.reset(),this.pipeline.add(e.kn.trimmer,e.kn.stopWordFilter,e.kn.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.kn.stemmer))},e.kn.wordCharacters="ಀ-಄ಅ-ಔಕ-ಹಾ-ೌ಼-ಽೕ-ೖೝ-ೞೠ-ೡೢ-ೣ೤೥೦-೯ೱ-ೳ",e.kn.trimmer=e.trimmerSupport.generateTrimmer(e.kn.wordCharacters),e.Pipeline.registerFunction(e.kn.trimmer,"trimmer-kn"),e.kn.stopWordFilter=e.generateStopWordFilter("ಮತ್ತು ಈ ಒಂದು ರಲ್ಲಿ ಹಾಗೂ ಎಂದು ಅಥವಾ ಇದು ರ ಅವರು ಎಂಬ ಮೇಲೆ ಅವರ ತನ್ನ ಆದರೆ ತಮ್ಮ ನಂತರ ಮೂಲಕ ಹೆಚ್ಚು ನ ಆ ಕೆಲವು ಅನೇಕ ಎರಡು ಹಾಗು ಪ್ರಮುಖ ಇದನ್ನು ಇದರ ಸುಮಾರು ಅದರ ಅದು ಮೊದಲ ಬಗ್ಗೆ ನಲ್ಲಿ ರಂದು ಇತರ ಅತ್ಯಂತ ಹೆಚ್ಚಿನ ಸಹ ಸಾಮಾನ್ಯವಾಗಿ ನೇ ಹಲವಾರು ಹೊಸ ದಿ ಕಡಿಮೆ ಯಾವುದೇ ಹೊಂದಿದೆ ದೊಡ್ಡ ಅನ್ನು ಇವರು ಪ್ರಕಾರ ಇದೆ ಮಾತ್ರ ಕೂಡ ಇಲ್ಲಿ ಎಲ್ಲಾ ವಿವಿಧ ಅದನ್ನು ಹಲವು ರಿಂದ ಕೇವಲ ದ ದಕ್ಷಿಣ ಗೆ ಅವನ ಅತಿ ನೆಯ ಬಹಳ ಕೆಲಸ ಎಲ್ಲ ಪ್ರತಿ ಇತ್ಯಾದಿ ಇವು ಬೇರೆ ಹೀಗೆ ನಡುವೆ ಇದಕ್ಕೆ ಎಸ್ ಇವರ ಮೊದಲು ಶ್ರೀ ಮಾಡುವ ಇದರಲ್ಲಿ ರೀತಿಯ ಮಾಡಿದ ಕಾಲ ಅಲ್ಲಿ ಮಾಡಲು ಅದೇ ಈಗ ಅವು ಗಳು ಎ ಎಂಬುದು ಅವನು ಅಂದರೆ ಅವರಿಗೆ ಇರುವ ವಿಶೇಷ ಮುಂದೆ ಅವುಗಳ ಮುಂತಾದ ಮೂಲ ಬಿ ಮೀ ಒಂದೇ ಇನ್ನೂ ಹೆಚ್ಚಾಗಿ ಮಾಡಿ ಅವರನ್ನು ಇದೇ ಯ ರೀತಿಯಲ್ಲಿ ಜೊತೆ ಅದರಲ್ಲಿ ಮಾಡಿದರು ನಡೆದ ಆಗ ಮತ್ತೆ ಪೂರ್ವ ಆತ ಬಂದ ಯಾವ ಒಟ್ಟು ಇತರೆ ಹಿಂದೆ ಪ್ರಮಾಣದ ಗಳನ್ನು ಕುರಿತು ಯು ಆದ್ದರಿಂದ ಅಲ್ಲದೆ ನಗರದ ಮೇಲಿನ ಏಕೆಂದರೆ ರಷ್ಟು ಎಂಬುದನ್ನು ಬಾರಿ ಎಂದರೆ ಹಿಂದಿನ ಆದರೂ ಆದ ಸಂಬಂಧಿಸಿದ ಮತ್ತೊಂದು ಸಿ ಆತನ ".split(" ")),e.kn.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.kn.tokenizer=function(t){if(!arguments.length||null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var n=t.toString().toLowerCase().replace(/^\s+/,"");return r.cut(n).split("|")},e.Pipeline.registerFunction(e.kn.stemmer,"stemmer-kn"),e.Pipeline.registerFunction(e.kn.stopWordFilter,"stopWordFilter-kn")}});
@@ -1 +0,0 @@
-!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){e.multiLanguage=function(){for(var t=Array.prototype.slice.call(arguments),i=t.join("-"),r="",n=[],s=[],p=0;p<t.length;++p)"en"==t[p]?(r+="\\w",n.unshift(e.stopWordFilter),n.push(e.stemmer),s.push(e.stemmer)):(r+=e[t[p]].wordCharacters,e[t[p]].stopWordFilter&&n.unshift(e[t[p]].stopWordFilter),e[t[p]].stemmer&&(n.push(e[t[p]].stemmer),s.push(e[t[p]].stemmer)));var o=e.trimmerSupport.generateTrimmer(r);return e.Pipeline.registerFunction(o,"lunr-multi-trimmer-"+i),n.unshift(o),function(){this.pipeline.reset(),this.pipeline.add.apply(this.pipeline,n),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add.apply(this.searchPipeline,s))}}}});
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Norwegian` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.no=function(){this.pipeline.reset(),this.pipeline.add(e.no.trimmer,e.no.stopWordFilter,e.no.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.no.stemmer))},e.no.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤﬀ-ﬆＡ-Ｚａ-ｚ",e.no.trimmer=e.trimmerSupport.generateTrimmer(e.no.wordCharacters),e.Pipeline.registerFunction(e.no.trimmer,"trimmer-no"),e.no.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,i=new function(){function e(){var e,r=w.cursor+3;if(a=w.limit,0<=r||r<=w.limit){for(s=r;;){if(e=w.cursor,w.in_grouping(d,97,248)){w.cursor=e;break}if(e>=w.limit)return;w.cursor=e+1}for(;!w.out_grouping(d,97,248);){if(w.cursor>=w.limit)return;w.cursor++}a=w.cursor,a<s&&(a=s)}}function i(){var e,r,n;if(w.cursor>=a&&(r=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,e=w.find_among_b(m,29),w.limit_backward=r,e))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:n=w.limit-w.cursor,w.in_grouping_b(c,98,122)?w.slice_del():(w.cursor=w.limit-n,w.eq_s_b(1,"k")&&w.out_grouping_b(d,97,248)&&w.slice_del());break;case 3:w.slice_from("er")}}function t(){var e,r=w.limit-w.cursor;w.cursor>=a&&(e=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,w.find_among_b(u,2)?(w.bra=w.cursor,w.limit_backward=e,w.cursor=w.limit-r,w.cursor>w.limit_backward&&(w.cursor--,w.bra=w.cursor,w.slice_del())):w.limit_backward=e)}function o(){var e,r;w.cursor>=a&&(r=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,e=w.find_among_b(l,11),e?(w.bra=w.cursor,w.limit_backward=r,1==e&&w.slice_del()):w.limit_backward=r)}var s,a,m=[new r("a",-1,1),new r("e",-1,1),new r("ede",1,1),new r("ande",1,1),new r("ende",1,1),new r("ane",1,1),new r("ene",1,1),new r("hetene",6,1),new r("erte",1,3),new r("en",-1,1),new r("heten",9,1),new r("ar",-1,1),new r("er",-1,1),new r("heter",12,1),new r("s",-1,2),new r("as",14,1),new r("es",14,1),new r("edes",16,1),new r("endes",16,1),new r("enes",16,1),new r("hetenes",19,1),new r("ens",14,1),new r("hetens",21,1),new r("ers",14,1),new r("ets",14,1),new r("et",-1,1),new r("het",25,1),new r("ert",-1,3),new r("ast",-1,1)],u=[new r("dt",-1,-1),new r("vt",-1,-1)],l=[new r("leg",-1,1),new r("eleg",0,1),new r("ig",-1,1),new r("eig",2,1),new r("lig",2,1),new r("elig",4,1),new r("els",-1,1),new r("lov",-1,1),new r("elov",7,1),new r("slov",7,1),new r("hetslov",9,1)],d=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,48,0,128],c=[119,125,149,1],w=new n;this.setCurrent=function(e){w.setCurrent(e)},this.getCurrent=function(){return w.getCurrent()},this.stem=function(){var r=w.cursor;return e(),w.limit_backward=r,w.cursor=w.limit,i(),w.cursor=w.limit,t(),w.cursor=w.limit,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.no.stemmer,"stemmer-no"),e.no.stopWordFilter=e.generateStopWordFilter("alle at av bare begge ble blei bli blir blitt både båe da de deg dei deim deira deires dem den denne der dere deres det dette di din disse ditt du dykk dykkar då eg ein eit eitt eller elles en enn er et ett etter for fordi fra før ha hadde han hans har hennar henne hennes her hjå ho hoe honom hoss hossen hun hva hvem hver hvilke hvilken hvis hvor hvordan hvorfor i ikke ikkje ikkje ingen ingi inkje inn inni ja jeg kan kom korleis korso kun kunne kva kvar kvarhelst kven kvi kvifor man mange me med medan meg meget mellom men mi min mine mitt mot mykje ned no noe noen noka noko nokon nokor nokre nå når og også om opp oss over på samme seg selv si si sia sidan siden sin sine sitt sjøl skal skulle slik so som som somme somt så sånn til um upp ut uten var vart varte ved vere verte vi vil ville vore vors vort vår være være vært å".split(" ")),e.Pipeline.registerFunction(e.no.stopWordFilter,"stopWordFilter-no")}});
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.sa=function(){this.pipeline.reset(),this.pipeline.add(e.sa.trimmer,e.sa.stopWordFilter,e.sa.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.sa.stemmer))},e.sa.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿ꣠-꣱ꣲ-ꣷ꣸-ꣻ꣼-ꣽꣾ-ꣿᆰ0-ᆰ9",e.sa.trimmer=e.trimmerSupport.generateTrimmer(e.sa.wordCharacters),e.Pipeline.registerFunction(e.sa.trimmer,"trimmer-sa"),e.sa.stopWordFilter=e.generateStopWordFilter('तथा अयम्‌ एकम्‌ इत्यस्मिन्‌ तथा तत्‌ वा अयम्‌ इत्यस्य ते आहूत उपरि तेषाम्‌  किन्तु तेषाम्‌ तदा इत्यनेन अधिकः इत्यस्य तत्‌ केचन बहवः द्वि तथा महत्वपूर्णः अयम्‌ अस्य  विषये अयं अस्ति तत्‌ प्रथमः विषये इत्युपरि इत्युपरि इतर अधिकतमः अधिकः अपि सामान्यतया ठ इतरेतर नूतनम्‌ द  न्यूनम्‌ कश्चित्‌ वा विशालः द  सः अस्ति तदनुसारम् तत्र अस्ति केवलम्‌ अपि अत्र सर्वे विविधाः तत्‌ बहवः यतः इदानीम्‌ द  दक्षिण इत्यस्मै तस्य उपरि नथ अतीव कार्यम्‌ सर्वे एकैकम्‌ इत्यादि। एते सन्ति  उत इत्थम्‌ मध्ये एतदर्थं . स कस्य प्रथमः श्री. करोति अस्मिन् प्रकारः निर्मिता कालः तत्र कर्तुं  समान अधुना ते सन्ति स एकः अस्ति सः अर्थात् तेषां कृते . स्थितम्  विशेषः अग्रिम तेषाम्‌ समान स्रोतः ख म समान इदानीमपि अधिकतया करोतु ते समान इत्यस्य वीथी सह यस्मिन्  कृतवान्‌ धृतः तदा पुनः पूर्वं सः आगतः किम्‌ कुल इतर पुरा  मात्रा स विषये उ अतएव अपि नगरस्य  उपरि यतः प्रतिशतं  कतरः कालः साधनानि भूत तथापि जात सम्बन्धि अन्यत्‌ ग अतः अस्माकं स्वकीयाः अस्माकं इदानीं अन्तः इत्यादयः भवन्तः इत्यादयः एते एताः तस्य अस्य इदम् एते तेषां तेषां तेषां तान् तेषां तेषां तेषां समानः सः एकः च तादृशाः बहवः अन्ये च वदन्ति यत् कियत् कस्मै  कस्मै  यस्मै  यस्मै  यस्मै  यस्मै न अतिनीचः किन्तु प्रथमं सम्पूर्णतया  ततः चिरकालानन्तरं पुस्तकं सम्पूर्णतया अन्तः  किन्तु अत्र वा इह इव श्रद्धाय अवशिष्यते  परन्तु अन्ये वर्गाः सन्ति ते सन्ति शक्नुवन्ति सर्वे मिलित्वा सर्वे एकत्र"'.split(" ")),e.sa.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.sa.tokenizer=function(t){if(!arguments.length||null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var i=t.toString().toLowerCase().replace(/^\s+/,"");return r.cut(i).split("|")},e.Pipeline.registerFunction(e.sa.stemmer,"stemmer-sa"),e.Pipeline.registerFunction(e.sa.stopWordFilter,"stopWordFilter-sa")}});
@@ -1 +0,0 @@
-!function(r,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(r.lunr)}(this,function(){return function(r){r.stemmerSupport={Among:function(r,t,i,s){if(this.toCharArray=function(r){for(var t=r.length,i=new Array(t),s=0;s<t;s++)i[s]=r.charCodeAt(s);return i},!r&&""!=r||!t&&0!=t||!i)throw"Bad Among initialisation: s:"+r+", substring_i: "+t+", result: "+i;this.s_size=r.length,this.s=this.toCharArray(r),this.substring_i=t,this.result=i,this.method=s},SnowballProgram:function(){var r;return{bra:0,ket:0,limit:0,cursor:0,limit_backward:0,setCurrent:function(t){r=t,this.cursor=0,this.limit=t.length,this.limit_backward=0,this.bra=this.cursor,this.ket=this.limit},getCurrent:function(){var t=r;return r=null,t},in_grouping:function(t,i,s){if(this.cursor<this.limit){var e=r.charCodeAt(this.cursor);if(e<=s&&e>=i&&(e-=i,t[e>>3]&1<<(7&e)))return this.cursor++,!0}return!1},in_grouping_b:function(t,i,s){if(this.cursor>this.limit_backward){var e=r.charCodeAt(this.cursor-1);if(e<=s&&e>=i&&(e-=i,t[e>>3]&1<<(7&e)))return this.cursor--,!0}return!1},out_grouping:function(t,i,s){if(this.cursor<this.limit){var e=r.charCodeAt(this.cursor);if(e>s||e<i)return this.cursor++,!0;if(e-=i,!(t[e>>3]&1<<(7&e)))return this.cursor++,!0}return!1},out_grouping_b:function(t,i,s){if(this.cursor>this.limit_backward){var e=r.charCodeAt(this.cursor-1);if(e>s||e<i)return this.cursor--,!0;if(e-=i,!(t[e>>3]&1<<(7&e)))return this.cursor--,!0}return!1},eq_s:function(t,i){if(this.limit-this.cursor<t)return!1;for(var s=0;s<t;s++)if(r.charCodeAt(this.cursor+s)!=i.charCodeAt(s))return!1;return this.cursor+=t,!0},eq_s_b:function(t,i){if(this.cursor-this.limit_backward<t)return!1;for(var s=0;s<t;s++)if(r.charCodeAt(this.cursor-t+s)!=i.charCodeAt(s))return!1;return this.cursor-=t,!0},find_among:function(t,i){for(var s=0,e=i,n=this.cursor,u=this.limit,o=0,h=0,c=!1;;){for(var a=s+(e-s>>1),f=0,l=o<h?o:h,_=t[a],m=l;m<_.s_size;m++){if(n+l==u){f=-1;break}if(f=r.charCodeAt(n+l)-_.s[m])break;l++}if(f<0?(e=a,h=l):(s=a,o=l),e-s<=1){if(s>0||e==s||c)break;c=!0}}for(;;){var _=t[s];if(o>=_.s_size){if(this.cursor=n+_.s_size,!_.method)return _.result;var b=_.method();if(this.cursor=n+_.s_size,b)return _.result}if((s=_.substring_i)<0)return 0}},find_among_b:function(t,i){for(var s=0,e=i,n=this.cursor,u=this.limit_backward,o=0,h=0,c=!1;;){for(var a=s+(e-s>>1),f=0,l=o<h?o:h,_=t[a],m=_.s_size-1-l;m>=0;m--){if(n-l==u){f=-1;break}if(f=r.charCodeAt(n-1-l)-_.s[m])break;l++}if(f<0?(e=a,h=l):(s=a,o=l),e-s<=1){if(s>0||e==s||c)break;c=!0}}for(;;){var _=t[s];if(o>=_.s_size){if(this.cursor=n-_.s_size,!_.method)return _.result;var b=_.method();if(this.cursor=n-_.s_size,b)return _.result}if((s=_.substring_i)<0)return 0}},replace_s:function(t,i,s){var e=s.length-(i-t),n=r.substring(0,t),u=r.substring(i);return r=n+s+u,this.limit+=e,this.cursor>=i?this.cursor+=e:this.cursor>t&&(this.cursor=t),e},slice_check:function(){if(this.bra<0||this.bra>this.ket||this.ket>this.limit||this.limit>r.length)throw"faulty slice operation"},slice_from:function(r){this.slice_check(),this.replace_s(this.bra,this.ket,r)},slice_del:function(){this.slice_from("")},insert:function(r,t,i){var s=this.replace_s(r,t,i);r<=this.bra&&(this.bra+=s),r<=this.ket&&(this.ket+=s)},slice_to:function(){return this.slice_check(),r.substring(this.bra,this.ket)},eq_v_b:function(r){return this.eq_s_b(r.length,r)}}}},r.trimmerSupport={generateTrimmer:function(r){var t=new RegExp("^[^"+r+"]+"),i=new RegExp("[^"+r+"]+$");return function(r){return"function"==typeof r.update?r.update(function(r){return r.replace(t,"").replace(i,"")}):r.replace(t,"").replace(i,"")}}}}});
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Swedish` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.sv=function(){this.pipeline.reset(),this.pipeline.add(e.sv.trimmer,e.sv.stopWordFilter,e.sv.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.sv.stemmer))},e.sv.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤﬀ-ﬆＡ-Ｚａ-ｚ",e.sv.trimmer=e.trimmerSupport.generateTrimmer(e.sv.wordCharacters),e.Pipeline.registerFunction(e.sv.trimmer,"trimmer-sv"),e.sv.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,t=new function(){function e(){var e,r=w.cursor+3;if(o=w.limit,0<=r||r<=w.limit){for(a=r;;){if(e=w.cursor,w.in_grouping(l,97,246)){w.cursor=e;break}if(w.cursor=e,w.cursor>=w.limit)return;w.cursor++}for(;!w.out_grouping(l,97,246);){if(w.cursor>=w.limit)return;w.cursor++}o=w.cursor,o<a&&(o=a)}}function t(){var e,r=w.limit_backward;if(w.cursor>=o&&(w.limit_backward=o,w.cursor=w.limit,w.ket=w.cursor,e=w.find_among_b(u,37),w.limit_backward=r,e))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:w.in_grouping_b(d,98,121)&&w.slice_del()}}function i(){var e=w.limit_backward;w.cursor>=o&&(w.limit_backward=o,w.cursor=w.limit,w.find_among_b(c,7)&&(w.cursor=w.limit,w.ket=w.cursor,w.cursor>w.limit_backward&&(w.bra=--w.cursor,w.slice_del())),w.limit_backward=e)}function s(){var e,r;if(w.cursor>=o){if(r=w.limit_backward,w.limit_backward=o,w.cursor=w.limit,w.ket=w.cursor,e=w.find_among_b(m,5))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:w.slice_from("lös");break;case 3:w.slice_from("full")}w.limit_backward=r}}var a,o,u=[new r("a",-1,1),new r("arna",0,1),new r("erna",0,1),new r("heterna",2,1),new r("orna",0,1),new r("ad",-1,1),new r("e",-1,1),new r("ade",6,1),new r("ande",6,1),new r("arne",6,1),new r("are",6,1),new r("aste",6,1),new r("en",-1,1),new r("anden",12,1),new r("aren",12,1),new r("heten",12,1),new r("ern",-1,1),new r("ar",-1,1),new r("er",-1,1),new r("heter",18,1),new r("or",-1,1),new r("s",-1,2),new r("as",21,1),new r("arnas",22,1),new r("ernas",22,1),new r("ornas",22,1),new r("es",21,1),new r("ades",26,1),new r("andes",26,1),new r("ens",21,1),new r("arens",29,1),new r("hetens",29,1),new r("erns",21,1),new r("at",-1,1),new r("andet",-1,1),new r("het",-1,1),new r("ast",-1,1)],c=[new r("dd",-1,-1),new r("gd",-1,-1),new r("nn",-1,-1),new r("dt",-1,-1),new r("gt",-1,-1),new r("kt",-1,-1),new r("tt",-1,-1)],m=[new r("ig",-1,1),new r("lig",0,1),new r("els",-1,1),new r("fullt",-1,3),new r("löst",-1,2)],l=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,24,0,32],d=[119,127,149],w=new n;this.setCurrent=function(e){w.setCurrent(e)},this.getCurrent=function(){return w.getCurrent()},this.stem=function(){var r=w.cursor;return e(),w.limit_backward=r,w.cursor=w.limit,t(),w.cursor=w.limit,i(),w.cursor=w.limit,s(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return t.setCurrent(e),t.stem(),t.getCurrent()}):(t.setCurrent(e),t.stem(),t.getCurrent())}}(),e.Pipeline.registerFunction(e.sv.stemmer,"stemmer-sv"),e.sv.stopWordFilter=e.generateStopWordFilter("alla allt att av blev bli blir blivit de dem den denna deras dess dessa det detta dig din dina ditt du där då efter ej eller en er era ert ett från för ha hade han hans har henne hennes hon honom hur här i icke ingen inom inte jag ju kan kunde man med mellan men mig min mina mitt mot mycket ni nu när någon något några och om oss på samma sedan sig sin sina sitta själv skulle som så sådan sådana sådant till under upp ut utan vad var vara varför varit varje vars vart vem vi vid vilka vilkas vilken vilket vår våra vårt än är åt över".split(" ")),e.Pipeline.registerFunction(e.sv.stopWordFilter,"stopWordFilter-sv")}});
@@ -1 +0,0 @@
-!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.ta=function(){this.pipeline.reset(),this.pipeline.add(e.ta.trimmer,e.ta.stopWordFilter,e.ta.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.ta.stemmer))},e.ta.wordCharacters="஀-உஊ-ஏஐ-ஙச-ட஠-னப-யர-ஹ஺-ிீ-௉ொ-௏ௐ-௙௚-௟௠-௩௪-௯௰-௹௺-௿a-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.ta.trimmer=e.trimmerSupport.generateTrimmer(e.ta.wordCharacters),e.Pipeline.registerFunction(e.ta.trimmer,"trimmer-ta"),e.ta.stopWordFilter=e.generateStopWordFilter("அங்கு அங்கே அது அதை அந்த அவர் அவர்கள் அவள் அவன் அவை ஆக ஆகவே ஆகையால் ஆதலால் ஆதலினால் ஆனாலும் ஆனால் இங்கு இங்கே இது இதை இந்த இப்படி இவர் இவர்கள் இவள் இவன் இவை இவ்வளவு உனக்கு உனது உன் உன்னால் எங்கு எங்கே எது எதை எந்த எப்படி எவர் எவர்கள் எவள் எவன் எவை எவ்வளவு எனக்கு எனது எனவே என் என்ன என்னால் ஏது ஏன் தனது தன்னால் தானே தான் நாங்கள் நாம் நான் நீ நீங்கள்".split(" ")),e.ta.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.ta.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.ta.stemmer,"stemmer-ta"),e.Pipeline.registerFunction(e.ta.stopWordFilter,"stopWordFilter-ta")}});
@@ -1 +0,0 @@
-!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.te=function(){this.pipeline.reset(),this.pipeline.add(e.te.trimmer,e.te.stopWordFilter,e.te.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.te.stemmer))},e.te.wordCharacters="ఀ-ఄఅ-ఔక-హా-ౌౕ-ౖౘ-ౚౠ-ౡౢ-ౣ౦-౯౸-౿఼ఽ్ౝ౷౤౥",e.te.trimmer=e.trimmerSupport.generateTrimmer(e.te.wordCharacters),e.Pipeline.registerFunction(e.te.trimmer,"trimmer-te"),e.te.stopWordFilter=e.generateStopWordFilter("అందరూ అందుబాటులో అడగండి అడగడం అడ్డంగా అనుగుణంగా అనుమతించు అనుమతిస్తుంది అయితే ఇప్పటికే ఉన్నారు ఎక్కడైనా ఎప్పుడు ఎవరైనా ఎవరో ఏ ఏదైనా ఏమైనప్పటికి ఒక ఒకరు కనిపిస్తాయి కాదు కూడా గా గురించి చుట్టూ చేయగలిగింది తగిన తర్వాత దాదాపు దూరంగా నిజంగా పై ప్రకారం ప్రక్కన మధ్య మరియు మరొక మళ్ళీ మాత్రమే మెచ్చుకో వద్ద వెంట వేరుగా వ్యతిరేకంగా సంబంధం".split(" ")),e.te.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.te.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.te.stemmer,"stemmer-te"),e.Pipeline.registerFunction(e.te.stopWordFilter,"stopWordFilter-te")}});
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.th=function(){this.pipeline.reset(),this.pipeline.add(e.th.trimmer),r?this.tokenizer=e.th.tokenizer:(e.tokenizer&&(e.tokenizer=e.th.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.th.tokenizer))},e.th.wordCharacters="[฀-๿]",e.th.trimmer=e.trimmerSupport.generateTrimmer(e.th.wordCharacters),e.Pipeline.registerFunction(e.th.trimmer,"trimmer-th");var t=e.wordcut;t.init(),e.th.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t):t});var n=i.toString().replace(/^\s+/,"");return t.cut(n).split("|")}}});
@@ -1 +0,0 @@
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-          
-          return this;
-        }
-        TinySegmenter.prototype.ctype_ = function(str) {
-          for (var i in this.chartype_) {
-            if (str.match(this.chartype_[i][0])) {
-              return this.chartype_[i][1];
-            }
-          }
-          return "O";
-        }
-
-        TinySegmenter.prototype.ts_ = function(v) {
-          if (v) { return v; }
-          return 0;
-        }
-
-        TinySegmenter.prototype.segment = function(input) {
-          if (input == null || input == undefined || input == "") {
-            return [];
-          }
-          var result = [];
-          var seg = ["B3","B2","B1"];
-          var ctype = ["O","O","O"];
-          var o = input.split("");
-          for (i = 0; i < o.length; ++i) {
-            seg.push(o[i]);
-            ctype.push(this.ctype_(o[i]))
-          }
-          seg.push("E1");
-          seg.push("E2");
-          seg.push("E3");
-          ctype.push("O");
-          ctype.push("O");
-          ctype.push("O");
-          var word = seg[3];
-          var p1 = "U";
-          var p2 = "U";
-          var p3 = "U";
-          for (var i = 4; i < seg.length - 3; ++i) {
-            var score = this.BIAS__;
-            var w1 = seg[i-3];
-            var w2 = seg[i-2];
-            var w3 = seg[i-1];
-            var w4 = seg[i];
-            var w5 = seg[i+1];
-            var w6 = seg[i+2];
-            var c1 = ctype[i-3];
-            var c2 = ctype[i-2];
-            var c3 = ctype[i-1];
-            var c4 = ctype[i];
-            var c5 = ctype[i+1];
-            var c6 = ctype[i+2];
-            score += this.ts_(this.UP1__[p1]);
-            score += this.ts_(this.UP2__[p2]);
-            score += this.ts_(this.UP3__[p3]);
-            score += this.ts_(this.BP1__[p1 + p2]);
-            score += this.ts_(this.BP2__[p2 + p3]);
-            score += this.ts_(this.UW1__[w1]);
-            score += this.ts_(this.UW2__[w2]);
-            score += this.ts_(this.UW3__[w3]);
-            score += this.ts_(this.UW4__[w4]);
-            score += this.ts_(this.UW5__[w5]);
-            score += this.ts_(this.UW6__[w6]);
-            score += this.ts_(this.BW1__[w2 + w3]);
-            score += this.ts_(this.BW2__[w3 + w4]);
-            score += this.ts_(this.BW3__[w4 + w5]);
-            score += this.ts_(this.TW1__[w1 + w2 + w3]);
-            score += this.ts_(this.TW2__[w2 + w3 + w4]);
-            score += this.ts_(this.TW3__[w3 + w4 + w5]);
-            score += this.ts_(this.TW4__[w4 + w5 + w6]);
-            score += this.ts_(this.UC1__[c1]);
-            score += this.ts_(this.UC2__[c2]);
-            score += this.ts_(this.UC3__[c3]);
-            score += this.ts_(this.UC4__[c4]);
-            score += this.ts_(this.UC5__[c5]);
-            score += this.ts_(this.UC6__[c6]);
-            score += this.ts_(this.BC1__[c2 + c3]);
-            score += this.ts_(this.BC2__[c3 + c4]);
-            score += this.ts_(this.BC3__[c4 + c5]);
-            score += this.ts_(this.TC1__[c1 + c2 + c3]);
-            score += this.ts_(this.TC2__[c2 + c3 + c4]);
-            score += this.ts_(this.TC3__[c3 + c4 + c5]);
-            score += this.ts_(this.TC4__[c4 + c5 + c6]);
-        //  score += this.ts_(this.TC5__[c4 + c5 + c6]);    
-            score += this.ts_(this.UQ1__[p1 + c1]);
-            score += this.ts_(this.UQ2__[p2 + c2]);
-            score += this.ts_(this.UQ3__[p3 + c3]);
-            score += this.ts_(this.BQ1__[p2 + c2 + c3]);
-            score += this.ts_(this.BQ2__[p2 + c3 + c4]);
-            score += this.ts_(this.BQ3__[p3 + c2 + c3]);
-            score += this.ts_(this.BQ4__[p3 + c3 + c4]);
-            score += this.ts_(this.TQ1__[p2 + c1 + c2 + c3]);
-            score += this.ts_(this.TQ2__[p2 + c2 + c3 + c4]);
-            score += this.ts_(this.TQ3__[p3 + c1 + c2 + c3]);
-            score += this.ts_(this.TQ4__[p3 + c2 + c3 + c4]);
-            var p = "O";
-            if (score > 0) {
-              result.push(word);
-              word = "";
-              p = "B";
-            }
-            p1 = p2;
-            p2 = p3;
-            p3 = p;
-            word += seg[i];
-          }
-          result.push(word);
-
-          return result;
-        }
-
-        lunr.TinySegmenter = TinySegmenter;
-    };
-
-}));
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@@ -0,0 +1,22 @@
+# Awesome Systematic Trading for Crypto + DeFi
+
+- [perp-arbitrageur](https://github.com/perpetual-protocol/perp-arbitrageur) | `Python` | - An arbitrage bot that executes automated trading strategies between Perpetual Protocol and FTX
+- [FTX_and_four_other_exchange_futures_and_funding_arbitrage_scanner](https://github.com/staccDOTsol/FTX_and_four_other_exchange_futures_and_funding_arbitrage_scanner) | `Python` | - ?
+- [Liquidation Bot](https://github.com/HydroProtocol/liquidation_bot) | `Go` | - DDEX Liquidation Bot 
+- [T-1000 Advanced Prototype](https://github.com/Draichi/T-1000) | `Python` | - Bot using deep learning with Ray API
+- [Tai - Orchestrate Your Trading](https://github.com/fremantle-industries/tai) | `Elixir` |  - A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine 
+- [bTrader](https://github.com/gabriel-milan/btrader) | `Rust` | - Triangle arbitrage trading bot for Binance
+- [crypto-crawler-rs](https://github.com/crypto-crawler/crypto-crawler-rs) | `Rust` | - Crawl orderbook and trade messages from crypto exchanges
+- [cryptotrader-core](https://github.com/monomadic/cryptotrader-core) | `Rust` | - Simple to use Crypto Exchange REST API client in rust. 
+- [openlimits](https://github.com/nash-io/openlimits) | `Rust` | - A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers. 
+- [Freqtrade](https://github.com/freqtrade/freqtrade) | `Python` | - Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
+- [Hummingbot](https://github.com/CoinAlpha/hummingbot) | `Python`, `Cython`, `Live Trading` | - A client for crypto market making
+- [Jesse](https://github.com/jesse-ai/jesse) | `Python` | - Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.
+- [OctoBot](https://github.com/Drakkar-Software/OctoBot) | `Python`, `Cython`, `Live Trading`| - Cryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interface
+- [Kelp](https://github.com/stellar/kelp) | `Go`, `Live Trading` | - Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
+- [Golang Crypto Trading Bot](https://github.com/saniales/golang-crypto-trading-bot/tree/develop) | `Go` | - A golang implementation of a console-based trading bot for cryptocurrency exchanges 
+- [BBGO](https://github.com/c9s/bbgo) | `Go` | - The modern cryptocurrency trading bot written in Go.
+- [Blankly](https://github.com/blankly-finance/blankly) | `Python` | - 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package. 
+- [Peregrine](https://github.com/wardbradt/peregrine) | `Python` | - Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries 
+- [K](https://github.com/ctubio/Krypto-trading-bot) | `C++` | - Self-hosted crypto trading bot (automated high frequency market making) written in C++ 
+- [gocryptotrader](https://github.com/thrasher-corp/gocryptotrader) | `Go` |  - A cryptocurrency trading bot supporting multiple exchanges written in Golang.
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@@ -0,0 +1,9 @@
+[package]
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+edition = "2021"
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+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+
+[dependencies]
+polars="0.20.0"
@@ -0,0 +1,10 @@
+use polars::prelude::*;
+
+fn main() {
+    println!("Hello, world!");
+    let s1 = Series::new("Fruit", &["Apple", "Apple", "Pear"]);
+    let s2 = Series::new("Color", &["Red", "Yellow", "Green"]);
+
+    let df: Result<DataFrame> = DataFrame::new(vec![s1, s2]);
+    println!("{:?}", df.unwrap());
+}
Author	SHA1	Message	Date
Zhe Wang	e0b13fde9f	add tech blog and open source sector for quant shops	2022-12-11 17:27:42 +00:00
Zhe Wang	4740ca99c9	update alpha collections	2022-11-28 16:29:20 +00:00
FunCoder	a1d9335f9d	Update Readme.md	2022-11-28 10:55:45 +00:00
FunCoder	0e4662443b	Merge pull request #9 from rzyaly/master add new project exc	2022-11-20 15:18:25 +00:00
renzhiying	9d0c0a028a	add new project exc	2022-11-20 19:44:32 +08:00
Zhe Wang	5b0cbc92ab	add Hikyuu Quant Framework	2022-11-03 10:20:18 +00:00
FunCoder	1817d8cfa2	Merge pull request #7 from grimyfishtank/patch-1 Update Readme.md	2022-11-01 18:46:59 +00:00
GrimyFishTank	770272b900	Update Readme.md Added free PENDAX SDK to "Broker APIs" section.	2022-11-01 14:24:12 -04:00
FunCoder	3854afb580	Update Readme.md	2022-10-22 22:01:07 +01:00
FunCoder	b72fe479c2	Update Readme.md	2022-10-22 22:00:30 +01:00
FunCoder	bbbbdafe86	Update Readme.md	2022-10-17 23:40:24 +01:00
Zhe Wang	8e336910d7	update	2022-10-15 11:51:47 +01:00
FunCoder	0d7bcf2345	Update Readme.md	2022-10-15 11:26:46 +01:00
Zhe Wang	7a32c1f335	update toc	2022-08-16 20:19:22 +01:00
FunCoder	940703399a	Merge pull request #5 from danielstonks/master Added ScreeningTale	2022-07-31 10:16:48 +01:00
FunCoder	04b28a2c0c	Merge pull request #6 from wangzhe3224/wangzhe3224-patch-1 Update Readme.md	2022-07-31 10:16:34 +01:00
FunCoder	69f050eb79	Update Readme.md	2022-07-31 10:16:26 +01:00
danielstonks	282c0fdd0c	Added ScreeningTale	2022-07-26 22:48:53 +02:00
FunCoder	d0d4ce796e	Update Readme.md	2022-07-22 13:34:13 +01:00
FunCoder	022fe99409	Merge pull request #4 from liuweikarlie/master readme_chinese_submit	2022-06-12 21:48:48 +01:00
liukarlie	17b6950c53	readme_chinese_submit	2022-06-12 18:26:21 +08:00
Zhe Wang	e5fd179316	update crypto liquidation bot	2022-05-02 17:58:38 +01:00
Zhe Wang	179c02d79b	update crypto	2022-05-02 17:04:59 +01:00
Zhe Wang	0fd4e74ac8	add pytrendfollowing	2022-04-18 10:46:43 +01:00
Zhe Wang	7cf56d393c	add crypto category and some update on alpha	2022-04-10 23:43:15 +01:00
Zhe Wang	878f4e5e53	update rust for trading	2022-03-29 23:23:29 +01:00
Zhe Wang	a04a0a9260	update wonder trader	2022-03-24 11:04:53 +00:00
Zhe Wang	8837c6757d	update portfolio opt	2022-03-20 15:15:49 +00:00
Zhe Wang	18d4cc2537	update	2022-03-16 22:24:43 +00:00
Zhe Wang	cbe1935928	update	2022-03-16 22:10:22 +00:00
Zhe Wang	1111a932f5	update	2022-03-16 22:04:31 +00:00
Zhe Wang	9e9c58d3fb	add a rust backtest framework flashfunk	2022-01-31 08:58:11 +00:00
Zhe Wang	abab21bd6b	add 1 good book	2022-01-17 21:47:50 +00:00
Zhe Wang	57aae0d654	add two graph engine	2022-01-17 21:46:26 +00:00
Zhe Wang	ac9815abde	add language related	2022-01-02 10:27:19 +00:00
Zhe Wang	5945965867	add language related	2022-01-02 10:25:47 +00:00
Zhe Wang	31bd0c9480	add language related	2022-01-02 10:09:58 +00:00
Zhe Wang	0d4d4f8fb1	update rust	2022-01-01 12:22:03 +00:00
Zhe Wang	78365beafb	fix typo	2021-12-29 19:17:54 +00:00
Zhe Wang	202a9bba67	Merge branch 'master' of github.com:wangzhe3224/awesome-systematic-trading	2021-12-29 11:29:24 +00:00
Zhe Wang	e6df37cbec	update	2021-12-29 11:29:16 +00:00
FunCoder	71482d84fa	Update Readme.md	2021-12-28 21:54:53 +00:00
Zhe Wang	ba0fe3589f	add tectonidb for order book	2021-12-28 12:52:35 +00:00
Zhe Wang	eb19c2ea69	update	2021-12-28 08:36:05 +00:00
FunCoder	bb6d2cd90a	Update Readme.md	2021-12-27 17:53:54 +00:00
Zhe Wang	da6f7fc9d1	license	2021-12-27 17:43:55 +00:00
Zhe Wang	feca0caff7	add ccxt	2021-12-27 17:02:55 +00:00
FunCoder	4b6eaa7d03	Merge pull request #3 from dizhouwu/patch-1 fix: update invalid link	2021-12-27 08:06:05 +00:00
Morty	4f4cb662e6	fix: update invalid link	2021-12-26 23:19:52 -06:00
Zhe Wang	5f5fc386d4	update concurrency	2021-12-25 17:35:26 +00:00
Zhe Wang	388d9406a2	add tutorials	2021-12-24 10:13:55 +00:00
Zhe Wang	01c0cb2bdd	add ML/RL focus framework	2021-12-23 12:55:37 +00:00
Zhe Wang	73e2005a86	add more backtest	2021-12-23 12:52:56 +00:00
Zhe Wang	46b45bbe2e	update live trading	2021-12-23 12:48:41 +00:00
Zhe Wang	743b8087ec	add alpha collection section	2021-12-23 12:34:06 +00:00
Zhe Wang	f3ce20c307	add chinese	2021-12-23 11:08:55 +00:00
Zhe Wang	ec521e4d25	update https://github.com/letianzj/quanttrader	2021-12-22 19:56:31 +00:00
Zhe Wang	c2707b01f0	update vis	2021-12-22 18:14:04 +00:00
Zhe Wang	204672d068	fix few things	2021-12-18 23:49:12 +00:00
Zhe Wang	dcf8c7ed36	fix few things	2021-12-18 23:15:21 +00:00
Zhe Wang	ce75f0249f	add lumibot	2021-12-16 20:39:52 +00:00
Zhe Wang	ba5d846fe6	add a fundamental data source	2021-12-16 09:51:44 +00:00
Zhe Wang	8118a13d8f	add broker api/book/marketstore	2021-12-14 21:13:07 +00:00
Zhe Wang	acc34e856b	add graph categories, add books	2021-12-13 21:23:29 +00:00
Zhe Wang	ee53bec6c9	add nautilus trader	2021-12-12 22:50:01 +00:00
Zhe Wang	0ca8d6611b	add numpy alternertives	2021-12-12 10:20:36 +00:00
Zhe Wang	9f8d024794	add pandas alternertives	2021-12-12 10:14:56 +00:00
Zhe Wang	7dac693ab8	Merge branch 'master' of github.com:wangzhe3224/awesome-systematic-trading	2021-12-12 10:05:33 +00:00
Zhe Wang	6219829f79	add cvxpy	2021-12-12 10:04:58 +00:00
FunCoder	3dd41f8d00	Update Readme.md	2021-12-11 23:19:38 +00:00
Zhe Wang	3a48bbf1be	add Rob Carver book code	2021-12-11 23:09:24 +00:00
Zhe Wang	bd41d33881	add chinese fule	2021-12-11 23:07:39 +00:00
Zhe Wang	a4361769e0	init	2021-12-11 23:03:29 +00:00
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