Alternatives
Products that do what Trading Exchange Engine/Simulator does
The qmrExchange project is an open-source financial markets exchange simulator that realistically mimics all the main components of modern trading venues. It allows us to test and quantify the behavior of different agents in a laboratory and isolated environment without the high noise-to-signal ratio that is otherwise unavoidable in live settings. By creating a completely functioning trading venue whose access is only granted to a finite and known number of agents or trading algorithms, qmrExchange enables analyzing causation and quantifying the impact of each agent in a way that is…
- 1
- 2
- 3QI
2017 · quantra.io
- 4ZA
2013 · github.com
- 5
- 6
- 7
- 8FA
2020 · forexbook.com
- 9
- 10
- 11
- 12SA
2014 · cloud9trader.com
- 13QN
2015 · quantnews.com
- 14AE
2015 · tradewave.net
- 15MO
2021 · github.com
- 16BT
2020 · tradytics.com
- 17MA
I built this simulator to study how simple trading agents interacting with an order book can create emergent patterns—volatility, clustering, even chaos—without any external shocks. It’s meant as both a research toy and teaching tool. You can run different strategies, adjust configs, and watch dynamics evolve. Curious to hear feedback from the HN crowd on features/dynamics you’d like to see added.
2025 · aitradingsim.com
- 18EV
We're two software geeks trying to build our own trading simulator app for beginners which could teach some basics of technical analysis and won't be too boring. You can join the early test program here if interested: https://threeinvesteers.com/ Do you think this is a decent idea? So far we've solved the main technical challenges and built a solid backend solution for real-time prices, and also got the first feedback regarding the concept from some early users. We've polished the idea slightly using the feedback but still have some open questions. Would be great to hear your…
2021
- 19HL
2019 · medium.com
- 20MO
2019 · github.com
- 21IM
2013 · sudogift.com
- 22AT
2019 · kloudtrader.com
- 23IM
How it works (tech stack): -Built entirely with Lovabl.dev (no-code front-end + logic) -ChatGPT / Claude for research and inspiration -Powered by GPT-4 Vision to interpret charts visually -Hosted on Supabase for performance & caching It’s not meant to replace analysts — just to speed up how traders interpret data. I’m a designer exploring AI tools, and this is my first attempt to turn an idea into a functional product. Would love to know what you think.
Oct 2025 · quantify-ai.co
- 24HA
2019 · kloudtrader.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →