TraderStat methodology

How TraderStat turns public market activity into research evidence

TraderStat uses available public data to create transparent profiles, ratings and market context. The process is designed to make the inputs and their limitations visible, not to promise outcomes.

Methodology version 1.1 · Last reviewed: 9 September 2026

Verification workflow

1. Find public evidence

The workflow begins with publicly available wallets, exchange activity where supported, published posts, signals or fund disclosures.

2. Structure and check the record

AI-assisted systems can extract a published trade idea into fields such as instrument, direction, entry, target and stop. The original public source remains the reference point.

3. Compare with historical data

Where a signal contains enough detail, TraderStat compares it with historical market data to determine the sequence of price events and calculate an outcome.

4. Display context, not a verdict

Profiles present sample size, returns, accuracy, risk-related context and limitations. A higher score is not a recommendation to copy a trader.

How ratings are interpreted

Directional ratings run from 0 to 100. A value closer to 0 represents a stronger sell bias in the evaluated input; a value closer to 100 a stronger buy bias. A midpoint reflects more mixed or neutral evidence.

Overall Score combines the available component ratings. Users should inspect those components because missing coverage, changing market conditions and conflicting inputs can affect the result.

Limitations and safeguards

Not every public claim contains enough information to verify. Public wallets may not represent every account or strategy, and historical performance does not predict future results.

TraderStat describes evidence as available, tracked or verified according to the underlying source. The platform does not provide personalised investment advice.

Who maintains the methodology?

The methodology is developed by the TraderStat team under founder Denis Gramovich, a trader and developer with 14 years of trading experience. Developers and traders contribute to the data systems and ongoing review of the product.

About TraderStat and the team Editorial and corrections policy