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Financial Data Credibility Quant Data Track Record Verified Track Records
Why Great Returns Don’t Attract Investors

Many investors are unable to convert strong returns into clients or capital. Learn why and how to fix it.

Dan Averbukh

Updates, stories and announcements from the vBase team.

    Recent Posts
    Why Quants Pay More for Point-in-Time Data Why Quants Pay More for Point-in-Time Data

    Quant investors pay up for verified, point-in-time data, because only PIT can recreate the past faithfully and turn backtests into real trading edge.

    Dan Averbukh
    Alternative Data Data Science Point-in-Time Quant Data
    Whose data is worth more? Whose data is worth more?

    Data with validated provenance is worth more. A lot more in some cases

    Dan Averbukh
    Data Science Quant Data
    Stop Using Brokerage Statements to Show Your Track Record Stop Using Brokerage Statements to Show Your Track Record

    Many traders use brokerage statements to create a verifiable track record. Unfortunately they are not credible for this purpose. A better alternative exists.

    Dan Averbukh
    Data integrity Data Science top Track Record Verified Track Records
    4 reasons people don’t trust your backtest 4 reasons people don’t trust your backtest

    Some analysts spend months building backtests that no-one is willing to trust. Learn why, and what to do about it.

    Dan Averbukh
    Data Science Fundraising Point-in-Time Quant Data Track Record
    4 reasons blockchains are excellent for data validation 4 reasons blockchains are excellent for data validation

    Ensuring integrity and trust: learn how blockchains can and should be used for data validation, data integrity and data provenance systems.

    Dan Averbukh
    Data integrity Data Provenance Data Science Digital Signatures
    Who cares about data provenance? Who cares about data provenance?

    Knowing where data comes from is critical to understanding the data. This is particularly true for financial data due to its time sensitive nature.

    Dan Averbukh
    Data integrity Data Provenance Data Science Digital Signatures
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