The CloudQuant Free Backtesting & Research Tools
The Trading Strategy Incubator for Freelance Quants
Your trading strategies are your proprietary way to trade. You have extraordinary ideas that can be developed into a profitable trading strategy.
CloudQuant® provides you the platform to bring your ideas, your approaches to trading to life. You develop your trading strategy, choose the inputs, choose the parameters, choose the stocks, and run the backtests. Once you are happy with your algo we will fund (provide the capital) and run the strategy using our production platform, with dedicated professional traders to handle the execution, compliance oversight, and technology.
When there is profit, you will get paid a share as a licensing fee for your algorithm. When there is a loss, we lose, not you.
In short, we have the platform (technology, team, data, oversight, risk, and trading capital), you have the ideas. We put those together and partner with you to generate trading profits together.
Learn more about our Trading Strategy Incubator
You get paid a portion of all trading profits using your algorithm using our capital.
We license your algo.
You maintain full ownership and rights.
At no point do you have to put up your own capital.
The world of the professional Portfolio Manager (PM) is rapidly changing. Modern PMs and Quantitative Analysts are challenged with continually adapting their fund’s performance. Alternative Datasets allow the discovery and harvesting of alpha.
Prior to harvesting alpha the PM must discover the alpha.
Prior to discovering alpha in a data set the PM must analyze the data.
Prior to anlayzing the data the PM’s team must wrangle the data into a usable format with correct symbology.
This process looks like:
1️⃣ Onboard the data
2️⃣ Wrangle the data
3️⃣ Map the symbology
4️⃣ Formulate and code a working trading strategy
6️⃣ Review results
This process can take months. Only after this effort does the analyst decide if it is profitable to license the dataset.
CloudQuant’s Data Set Library allows you to browse the datasets and jump straight to step 6️⃣.
Begin by browsing our dataset library.
We demonstrate the value in alternative data.
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