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trading-platform

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Lean
bhallier
bhallier commented Feb 2, 2018

It look like some currencies have more precision in the mouseover display on the plot than others. For example, EOS shows many digits past the decimal while ETH only shows two. Adding a few more digits would make interpreting the charts much easier. The left plot shows the rounding I'm describing and the right shows the higher precision that EOS displays.

![rounding](https://user-images.githubu

Allayom
Allayom commented Nov 27, 2019

Exchange Details ✏️

  • Name of exchange: dex.blue
  • Exchange URL: dex.blue
  • Link to API docs: https://docs.dex.blue/
  • Type of exchange: [ ] Centralized [X] Decentralized
  • Requester details: Are you affiliated with the exchange? [ x] yes [ ] no
    • If yes, what is your role? Market Maker

Rationale / impact ✏️

(Describe your rationale for building this exchan

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

  • Updated Jan 7, 2019
  • Python

C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.

  • Updated May 25, 2018
  • C

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