• Intelligent

    Investing

    Simplified.

  • vqLAB powers intelligent insights

    • TRUST - How does Twitter impact your portfolio?

    • INSIGHTS - With exploding inflation, which sectors are growing?

    • VERSATILITY - How does a Biden presidency impact your portfolio?

    • DYNAMISM - Is cryptocurrency part of your 2023 portfolio?

  • How do you design intelligent portfolios?

    Align - Design - Execute

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    Step 1

    Align

    Designing intelligent portfolios requires precision alignment of your portfolio to meet your performance and risk expectations. Building on institutional grade thinking around expectations, we provide you model portfolios to jump-start your design process. We have been in your shoes and with a maturity of thinking, we strive to bring you wisdom in your alignment process.

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    Step 2

    Design

    Intelligent portfolio design requires leveraging your performance and risk-aligned portfolios and precision tuning for the future. We empower your portfolios with intelligence to make them adaptive and robust through a variety of institutional-grade stress scenarios.

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    Step 3

    Execute

    Intelligent portfolios require finesse in execution. We extend the capabilities of your brokerages to execute your custom-designed portfolios with speed, versatility, and transparency.

  • Invest with intelligent insights

    We do the hard work to help you discover insights, you pull the trigger.

    Validated trading strategies

    Our strategies are designed to trade live, we are live trading them today!

    AI Infused Strategies

    We use artificial intelligence to optimize strategies for out of sample performance

    Live trade strategies

    We validate our strategies in
    live market trading, so you can too

    Paper trade first

    Learn to trade in live markets before you go in with real capital.

    Reporting with insights

    70% of the world is visual, so we work hard to build visual insights

    Trading with compliance

    Our live strategies incorporate compliance as part of the trading

  • How do you maximize your portfolio intelligence?

    Let us help you discover new opportunities with Artificial Intelligence

  • Investor [Q]EWS

    We build strategies, you tune them for your needs.

  • Strategy Showcase

    We optimize each strategy with Artificial Intelligence to optimize out-of-sample performance.If you need more advanced strategies, please take a look at our Pro Green or Enterprise options.

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    inVestorLAB® (MAC)

    Discover your next great investment ideas

  • Retail Investing

    Discover your intelligence

    19.5% of retail investors now own the stock market

    What investment strategy is right for you?

    The explosion of retail investors buying into the stock market has risen from 10.1% in 2010 and 14.9% in 2019 to its current high. These are based on stats from Bloomberg Intelligence in June 2020.

     

    As retail investors flood the market through easy-to-access brokerage firms, low-cost financial products, and a low-interest-rate environment it becomes more imperative to leverage high-quality institutional-grade strategies to meet your performance goals.

    We build intelligent portfolio strategies to empower retail investors to take advantage of institutional-grade strategies.

     

    Strategies

    • Conservative strategies target a 0.5% - 5% in return
    • Moderate strategies target 5% - 10% in return
    • Aggressive strategies target 10%+ in returns
    Disclaimer
    There are risks involved with investing which may include market fluctuation and possible loss of principal value. Particular investments may not be suitable for certain situations. Carefully consider the risks and possible consequences involved prior to making an investment decision.

    The US commands global capital and only with institutional-grade tools can you uncover opportunities and risks to meet your needs.

    Where do you put your money?

    $86 trillion global equity market is currently split between these different economies. The US market is the deepest most liquid 3.9x the size of the next largest china. This means more opportunities for retail investors.

    • 45.3% US
    • 11.0% China
    • 9.9%  European
    • 5.9%  Japan
    • 5.5%  Hong Kong
    • 3.3%  United Kingdom
    • 2.3%  Canada
    • 1.5%  Australia
    • 0.6%  Singapore
    • 8.6%  Developed Markets
    • 5.9%  Emerging Markets

    SIFMA - Securities Industry and Financial Markets Association

    4th Quarter 2020

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    inVestorLAB®

    Discover your next great investment ideas

  • Investor [Q]EWS

    Quantitative [N]ews for the Sophisticated Investor

    Sequence to Sequence Modeling
    March 11, 2023 · Learn,Transformer,Attention,Neural Networks
    Attention is all you need
    March 11, 2023 · AI,Intelligence,Learn
    What are the different regularization techniques in finance?
    February 13, 2023
    More Posts
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  • Contact Us

    Don't be afraid to reach out. You + us = awesome.

    Wall Street, New York
    support@versaquant.com

  • Integrate AI

    @QBips we specialize in big data integration and deployment into your infrastructure

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  • How It Works

    How do I trade your strategies live?

    1

    Setup Brokerage

    Get empowered with a Quant approved
    brokerage firms.
     

    Interactive Broker | Alpaca

    2

    Pick Strats @ vQLAB

    Pick validated live ready strategies from our trading interface.

    Sentiment | Event | more...

    3

    Trade Paper or LIVE!

    "TRADE" live or paper trade your chosen strategies.

     

    Live & Paper trade today

  • How It Works

    Let Q predict your time series (1 microsecond - Months) into the futureQ is good at predicting discrete level events as well!

    1

    Setup Q our AI

    >> Q = QBot

     

    Q is your personal quant ready to help you ask questions of your data.

    2

    Give Q big data

    >> Q.importData(DataLocation)
     

    Import your time series data from Excel

    CSV Files

    Amazon Cloud

    MAT Files

    3

    Ask Q about factors

    >> scores = Q.importantFeature()

     

    Which factor drive my future values?

    When are my factors relevant?

    Which factors are relevant in high volatility periods?

    4

    Ask Q to predict the future

    >> Predicted = Q.predictValue()

     

    Which model is best?

    What is my prediction accuracy?

    When is a good time to predict?

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