FinRL
wireproxy
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| FinRL | wireproxy | |
|---|---|---|
| 44 | 22 | |
| 9,016 | 3,902 | |
| 2.5% | - | |
| 8.6 | 6.0 | |
| 9 days ago | 7 days ago | |
| Jupyter Notebook | Go | |
| MIT License | ISC License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FinRL
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Batendo BOVA11 - Approach usando Reinforcement Learning
FinRL ---> https://github.com/AI4Finance-Foundation/FinRL
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Need help to get started
There is a roadmap here with tutorials from AI4fince. It helped me get started. https://github.com/AI4Finance-Foundation/FinRL/tree/master/examples
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[D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often?
Definitely! An example could be the use of https://github.com/AI4Finance-Foundation/FinRL in quant-firms and fintech.
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Reinforcement learning for algorithmic trading?
I recently came across this GitHub repo on using reinforcement learning (RL) for algorithmic trading - https://github.com/AI4Finance-Foundation/FinRL. Would using RL be a realistic and profitable algotrading strategy ?
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Is anyone interested in joining a DeepRL-based algotrading project?
there is quite popular DRL project in finance: https://github.com/AI4Finance-Foundation/FinRL
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Does anyone have experience with Reinforcement Learning (RL)?
You can have a look at this repo,may help you to start your journey: https://github.com/AI4Finance-Foundation/FinRL
- Anyone worked with FinRL?
- reinforcement learning in finance and trading
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Feedback Collection for FinRL: Financial Reinforcement Learning
As a creator of the open-source FinRL project, I would like to welcome all kinds of feedback regarding financial reinforcement learning, especially about how to improve the open-source project FinRL.
- What should I change in my hyperparameter to improve this model? Should I lower or increase the learning rate?
wireproxy
- WireGuard client that exposes itself as a HTTP/SOCKS5 proxy
- A VPN provider that offers both manual wireguard configuration and socks5 proxy service
- Wireproxy
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proxies are expensive
However, there are ways to be frugal like using VPNs that have high device limit and quality servers through wireproxy etc. Though note that this is a resource problem - would you spend your dev time figuring out how to setup your own proxy network and penny-pinch here or spend that time working on your product instead? That's why web scraping services are becoming so popular - it just handles all of this ugly mess for you (I might be bias :)
- How can I connect to WireGuard on a Win 10 without admin rights?
- Best way to add mullvad vpn
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Show HN: Wiretap – Transparent WireGuard proxy server without root
Wireproxy can do similar stuff: https://github.com/octeep/wireproxy
(Disclaimer: I am a contributor to Wireproxy)
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Best VPN or proxy service ?
Though if you're interested in using VPNs as proxies I recommend looking into wireproxy which turns wireguard VPNs to proxy services. As many VPN services allow 5-10 simultaneous connections you can have a pool of 5-10 proxies for your web scrapers. This is a great, cheap solution for IP-based rate limiting.
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Mullvad blocked by streaming apps and certain websites
Technically you could connect to Mullvad by generating a WireGuard config and feeding it into wghttp or wireproxy and then use a proxy-switching browser extension to use the proxy only for websites that don't break
- Any plan to create a browser extension?
What are some alternatives?
tensortrade - An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
tunsocks - User-level IP forwarding, SOCKS proxy, and HTTP proxy for VPNs that provide tun-like interface
gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
tun2socks - tun2socks - powered by gVisor TCP/IP stack
FinRL-Meta - FinRLÂ-Meta: Dynamic datasets and market environments for FinRL.
Xray-core - Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.
FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
Netmaker - Netmaker makes networks with WireGuard. Netmaker automates fast, secure, and distributed virtual networks.
Deep-Hedging
microsocks - tiny, portable SOCKS5 server with very moderate resource usage
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 - Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star. [Moved to: https://github.com/AI4Finance-Foundation/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020]
headscale - An open source, self-hosted implementation of the Tailscale control server