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About TraderStat

Trading signal research with clear evidence and privacy boundaries

TraderStat is a research platform for crypto and forex markets. We analyse public trading activity, market data, published forecasts and private-channel signal aggregates. We prioritise structured signals because explicit trade conditions are generally simpler and less expensive to check than open-ended predictions.

Why private signals are shown as aggregate results

TraderStat publishes aggregate results for private channels, not their messages, individual trade instructions, timestamps or access links. This is our publication policy to respect creators' rights, confidentiality and channel access terms. Missing public trade details do not mean that no checking took place.

Why we prioritise structured signals

In our checking workflow, explicit signals are usually simpler and less expensive to evaluate than open-ended forecasts. An instrument, direction, entry, target and stop define a testable scenario; general predictions may require interpretation and modelled assumptions. This makes structured signals a more useful starting point for evaluating a provider's recorded outcomes.

Private channels often provide these structured instructions, but privacy or payment alone does not make a signal clearer, more accurate or more profitable. A missing level or ambiguous sequence still limits what can be checked. We do not promise a fixed verification cost or a profitable subscription.

What readers can and cannot verify

Public-source checks, modelled outcomes and supplied private-channel aggregates are identified separately. Readers can examine published counts and instrument subtotals, but cannot reproduce private-message checks from this website. Source-bot check flags describe that source's process; reconciling an imported aggregate is not an independent recheck of every message or an audit of a subscriber's account. Unknown observation dates remain unknown; the import date is not the trading period.

Compare free and paid evidence
Founder
Denis Gramovich
Trader, developer and founder of TraderStat
Denis has 14 years of trading experience and built TraderStat after repeatedly seeing the same problem: genuine skill is difficult to separate from noise, marketing and unverifiable claims. The project is designed to make the available record easier to inspect. Denis works with a team of developers and traders who contribute data systems, product development and market expertise.
Why TraderStat exists
Make public claims testable

Many traders promote results that cannot be independently checked. At the same time, the smaller group that produces useful work is often difficult to find and compare.

TraderStat does not decide who someone should follow. Its role is to collect available public evidence, show the limits of that evidence and make comparison more transparent: profitability, quality of analysis, sample size, risk and the history behind a claim.

Coverage

Who TraderStat evaluates

On-chain investors
For public blockchain wallets, TraderStat can analyse visible transactions, holdings and changes in positions. Public on-chain data makes it possible to assess activity from the record rather than from promotional claims.
DEX traders
For supported decentralised venues, TraderStat reviews public fills, positions and realised outcomes where the exchange exposes sufficient history. A profile is only useful when its evidence, trade count and risk context can be examined.
Social traders and investors
These are people and channels that publish public market opinions, trade ideas or signals. AI-assisted extraction turns a post into structured fields, then the idea can be compared with historical market data.
Crypto investment funds
TraderStat tracks publicly available fund activity and disclosures where coverage exists, helping users understand which assets and themes professional participants are publicly associated with.

How to read the platform

What TraderStat shows and what it means

Trader profile
A profile brings together available public ideas, recorded outcomes, signal count, accuracy, returns, holding time and losing positions. It is an evidence summary, not an endorsement.
Ratings
Each directional rating is expressed from 0 to 100: 0 indicates a stronger sell bias and 100 a stronger buy bias. It describes the current balance of the tracked input, not a guaranteed future price move.
Overall Score
The main score combines the available underlying ratings, including trader positioning, technical indicators and chart-pattern inputs. Users can open the component scores instead of treating the result as a black box.
Trader ideas
On an instrument page, TraderStat surfaces relevant ideas from pre-screened traders where evidence is available. The purpose is to show the thesis and its context, not to tell a user to copy a trade.
Chart patterns
TraderStat analyses recurring chart structures and public reasoning from tracked traders to make the setup, potential invalidation and uncertainty easier to review.
Public evidence first
We prioritise data that can be inspected: public wallet activity, exchange records where available and source posts.
AI assists the workflow
AI helps structure public information and explain patterns; it does not turn uncertain data into certainty.
Research, not investment advice
Scores and profiles are analytical context. They are not personalised recommendations or promises of performance.

See the evidence behind a score

Explore market context, compare public trader records and read the verification process before drawing your own conclusion.