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je-suis-tm / quant-trading

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Python quantitative trading strategies including Pattern Recognition, CTA, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

trading-bot quant trading-strategies trading-algorithms quantitative-finance algorithmic-trading quantitative-trading trading-systems statistical-arbitrage macd options-trading bollinger-bands options-strategies momentum-strategy quantitative-trading-strategies trading-strategy pair-trading momentum-trading-strategy commodity-trading quantimental-analysis
  • Updated Jun 8, 2020
  • Python

CoinAlpha / hummingbot

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[New Exchange Connector] dex.blue

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

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new exchange

EliteQuant / EliteQuant_Python

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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.

python algo-trading trading-platform trading-strategies investment backtest quantitative-trading stock-trading trading-systems high-frequency-trading
  • Updated Jan 7, 2019
  • Python

EliteQuant / EliteQuant_Cpp

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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.

cpp algo-trading trading-platform trading-strategies investment backtest quantitative-trading stock-trading trading-systems high-frequency-trading
  • Updated May 25, 2018
  • C

ashishkumar30 / Zerodha_Live_Automate_Trading-_using_AI_ML_on_Indian_stock_market-using-basic-python

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Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

api bots trading websocket trading-bot trading-api restapi stock-price-prediction trading-strategies indicator indicators stock-prediction kite screener zerodha trading-systems kiteconnect kiteconnect-rs kiteconnect-ts kiteconnectexamples
  • Updated Mar 3, 2020
  • Jupyter Notebook

EliteQuant / EliteQuant_R

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R quantitative trading and investment platform. EliteQuant_R is R 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.

r algo-trading trading-platform trading-strategies investment backtest quantitative-trading stock-trading trading-systems high-frequency-trading
  • Updated Jan 18, 2018
  • R

EliteQuant / EliteQuant_Matlab

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Matlab quantitative trading and investment platform. EliteQuant_Matlab is Matlab 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.

matlab algo-trading trading-platform trading-strategies investment backtest quantitative-trading stock-trading trading-systems high-frequency-trading
  • Updated Jan 29, 2018
  • MATLAB

sparkstartconsulting / IBKR-API-Rust

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Documentation does not follow Rust's standard documentation format

2
sphqxe
sphqxe commented Apr 26, 2020

I notice that you have actually left comments documenting each function, but they are not in standard format (see here) and hence they don't show up in the automatically generated documentation when I ran cargo doc.

Is this intended? If not I wouldn't mind helping to reformat the comments so that the documentation can be automa

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