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 1.2 · Last reviewed: 12 September 2026
Verification workflow
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.
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.
Media signal performance policy
Use the author's first published Entry, Target and Stop. When Entry is omitted, use the open of the first complete minute after publication, or the next market opening during a scheduled closure. When Stop is omitted, place it at half the distance from Entry to Target in the opposite direction. For Buy targets at least 200% above Entry, an omitted Stop is 50% of Entry so it stays positive. For Entry 50,000 and Target 100,000, the modelled Stop is 25,000.
The first confirmed Target or Stop determines the outcome. Missing prices, invalid levels and unresolved ordering within a minute do not earn a result. Signals counts resolved free signals in the profile's market; Profit sums the same results and Profit/signal divides by that count. Forex uses broker pips, Crypto uses percent. Modelled outcomes are not confirmed account executions and exclude fees, spread, slippage and leverage; their sum is not a portfolio return. Source levels and modelled levels remain separate.
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.