QuantConnect has a great platform for developing trading strategies. My development environment is VSCode and Claude Code. I am a long time quant, short time QC user but I learn something meaningf... See more
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See what reviewers are saying
Amazing platform! Simple to use. Gives you all the financial datasources you can think of at your fingertips. The ability to create unlimited algorithms. Creating algorithm takes just a few lines... See more
This site is very powerfull, I start using it several years ago. Well written, well documented, well structured software for algorithmic trading. It's even opensource. And I do believe it is also for... See more
would I trust quant connect to run a live algo with real money NO!!! The coding environment has lots of bugs, wont save files, this is a frequent occurance, projects fail to open for hours then magica... See more
Company details
Written by the company
QuantConnect provides an algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We democratize algorithm trading technology with a fully open-source platform to empower investors. Our community of 220,000 engineers designs investment strategies in Python or C# to trade through to their brokerage accounts. Each month we do $1-2B in notional volume, and serve 5,000+ users.
Contact info
16192 COASTAL HIGHWAY, 19958, Lewes, United States
- 8447826826
- support@quantconnect.com
- quantconnect.com
buggy, slow, opaque, poor docs and expensive
cannot recommend
Cons:
- lack of transparency (deleting critical statements in forum)
- alpha market is a joke. there are no trading firms paying license fees for algos.
- many alphas in market are likely overfitted
- setting up LEAN for local machine is buggy and complicated
- unnecessarily complex API, difficult to learn, poor docs (at least for python developers), LEAN is C# but most users need Python
- research (notebook) is slow, throwing time out errors when analyzing large datasets
- backtesting is slow when trading many assets with high resolution data, throwing time out errors all the time
- web ide limited, poor debugging tool
- switching between local (Skylight) and cloud is tiresome, no efficient workflow for algo development
- limited possibilities to analyze and visualize backtest results
- buggy API, bugfixes take too much time
- expensive for retail/invididuals (default pack = +800$/year)
Pros:
- community provide support in forum
- open source (LEAN)
- large and reliable database including tick data for many securities
- L1 quote data available for equities
- live trading
- event-driven backtesting engine
- all-in-one ecosystem (research, backtest, live trading, data, optimization)
Shady site
Shady site not sure if the team behind are trustworthy with holding your algos data. I found other frameworks like backtrader that are easier to pick up and get working with quickly than LEAN. LEAN is poorly documenting making learning a huge hurdle. Also, I question the stability of their site because of the amount of bugs you can find in their UI and some that I encountered in plotting during backtrading. If you need an online IDE, Quantopian is far more reliable and documented and quicker to work with but still could have issues with data privacy.
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