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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.

  • Updated Jan 25, 2022
  • Python
A5230171
A5230171 commented Jan 22, 2022

目前使用最新的 models.py 建立 DRLAgent 的过程中,需要再 添加 price_array, tech_array, turbulence_array (39行)

举例:agent = DRLAgent(env=env_train, price_array, tech_array, turbulence_array)

但是看了 上下文关联的 程式,还是不明白 这三个变量添加进去的含义以及之后的作用在哪里?

目前使用的环境是 env_stocktrading.py 作为股票模拟环境,但感觉好像也没有看到关联性!

![cfa76c29b1c1705176502697cb9b48a](https://user-images.githubusercontent.com/46130746/150642608-49528457-696b-4dc1-b310-8c

FISCO BCOS是由微众牵头的金链盟主导研发、对外开源、安全可控的企业级金融区块链底层技术平台。 单链配置下,性能TPS可达万级。提供群组架构、并行计算、分布式存储、可插拔的共识机制、隐私保护算法、支持全链路国密算法等诸多特性。 经过多个机构、多个应用,长时间在生产环境中的实践检验,具备金融级的高性能、高可用性及高安全性。FISCO BCOS is a secure and reliable financial-grade open-source blockchain platform. The platform provides rich features including group architecture, cross-chain communication protocols, pluggable consensus mechanisms, privacy protection algorithms, OSCCA-approved (Office of State Commercial Cryptography Administration) cryptography algorithms, and distributed storage. Its performance, usability, and security have been testified by many institutional users and successful business applications in a live production environment.

  • Updated Jan 25, 2022
  • C++
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