Improve your Investing Performance with Data
Professional Portfolio Manager or Investment Manager
The world of institutional investing is rapidly changing. Explore Alternative Datasets from CloudQuant’s expansive Data Library and quickly integrate CQ Technology to enhance your investment strategies and portfolio performance today.
Without CloudQuant the Investment Manager needs to figure out:
- How to pay for the new dataset
- Procedures to integrate the dataset into their trading
- Working through the procurement and legal negotiation process
- Finding quants who have the time to research the dataset
CloudQuant’s technology exists to support the investor. The user is able to try datasets within minutes. The combination of the dataset library and technology, either in a private or shared environment, makes this possible.
Explore CQ Technology in the table below.
CloudQuant Technology Products and Software
(SaaS + Paas)
A view into datasets currently available in the CloudQuant environments, also available for licensing in your environment.
Search function rapidly navigates hundreds of datasets within the library to deliver you the information you want at the touch of a button.
Powerful High Resolution Strategy Backtesting
White Paper with Corresponding CloudQuant Source Code
Write sophisticated algorithmic trading strategies in Python.
Replay years of US equities trading utilizing high resolution tick-level data.
Users’ python code can interact with any market event- trades, news, halts, altdata, order handling, account handling, and many more.
Stats are automatically generated for every backtest and detailed statistical reports available on demand.
Users data storage area allows incorporation of own data into algorithms on CQ Mariner.
Enables users to efficiently test drive Alternative Data into their investing blueprint.
Visualizing Quantitative Data Powers the Engine of Systematic Innovation
This Powerful Alternative Data & Trading Signal Visualization tool provides industry professionals to rapidly browse hundreds of datasets.
Instantly overlay datasets with the market and financial KPIs such as revenue, growth, earnings, EBITA, social sentiment, and more.
Integrate CloudQuant SaaS to traders’ existing capabilities and give your research team super powers without fear of losing any of their existing ecosystem.
Visualize Data in minutes to gain deeper insights without any technology costs that may come with hiring data analysts. No tech skills are needed to utilize CQ services.
Do not be limited by bounds of technology; CloudQuant liberates the data to show the user what they want without needing a developer to access it.
Powerful Jupyter Python Notebook
Ecosystem Research Analyst Alternative Data and Machine Learning Gymnasium
Built on the fastest growing data science program in the world.
Full machine learning stack of open source technology capabilities so you can manipulate the data any way you want.
Single Data Access API For A World of Time Series Data
Built-in Point-in-Time Database & Standard Access Pattern For All Data
Allows users to easily include Alternative Datasets in their algorithms to facilitate rapid informed decisions regarding alternative datasets, making it easy for users to identify statistical impacts.
CloudQuant Rosetta (TM)
AI Powered Symbology and Topic Mapping
Built-in Point-In-Time Security, Entity Mapping & Standard Identifier For All Datasets