Crypto trading services publish several kinds of performance evidence.
Stoic and AlphaNet provide public strategy reporting.
Services such as 3Commas, Cryptohopper, and Pionex give account owners records they can inspect.
Copin, HyperDash and Hyperliquid vaults offer ways to examine trader or vault activity.
These records answer different questions. A public chart shows what a provider reports.
Account data can help establish what happened to a particular balance.
A reproducible calculation lets someone check how a return was derived. Independent assurance requires a reviewer and a report covering that calculation.
Before comparing a headline return, identify the strategy, trading venue, dates, and cost basis.
Then establish whether the result came from live trading or a simulation.
This guide compares evidence available through published product documentation; it does not certify any service’s investment performance.
Where to find performance evidence
| Service | Evidence available | Who can examine it | Essential check |
|---|---|---|---|
| Stoic | Public strategy charts and fact sheets | Public readers; users also have account records | Live start date, simulated history and stated costs |
| AlphaNet | Strategy performance published in real time | Public website readers | Selected strategy, venue, period and applicable fees |
| 3Commas | Bot history and trade exports | Account owner | Correct bot and account, including costs and open positions |
| Cryptohopper | Trade-history exports and strategy tools | Account owner; public material varies | Separate executed trades from simulations |
| Pionex | Transaction-history exports | Account owner | Reconcile trades with holdings and charges |
| Hummingbot | Source code and the operator’s trading records | Public code; account and logs held by the operator | Exact implementation, venue data and operating history |
| Copin | Trader statistics and position data | Analytics readers and account users | Chosen address, dates and the follower’s own execution |
| HyperDash | Trader analytics and copy methodology | Users and public account observers | Selected wallets and combined exposure |
| Hyperliquid vaults | Vault statistics and trading history | Public readers and depositors | Vault type, deposit dates, charges and cash flows |
Reading public strategy results
Stoic’s performance page explains the distinction between simulated and live history.
A chart covering several years should not be treated as several years of live trading unless its methodology establishes that.
Use the marked live start and the return series relevant to the strategy under consideration.
AlphaNet publishes strategy performance on its website in real time and charges dynamic trading fees.
Readers can follow the displayed strategy metrics as they change, then check the selected strategy’s period and fee treatment.
AlphaNet’s reported live strategy history began on Orderly in January 2026; its Hyperliquid rollout is dated September 2026. Returns from those venues should be identified separately.
The same scope test applies to both services: which strategy and trading period does the chart describe, and what costs does it include? Regular updates make a record easier to monitor.
They do not by themselves establish that an independent reviewer has verified the calculation.
Reconcile a return to account equity
A list of profitable closed trades can conceal a losing open position.
Consider a hypothetical account with $10,000 at the start, no deposits or withdrawals, $600 of closed-trade profit before costs and an $800 unrealised loss.
Assume fees and net funding paid total $100 and have not already been deducted from either figure.
Ending equity is $9,700, a loss of 3%, despite the profitable closed trades.
For a real account, reconcile starting and ending equity with deposits, withdrawals, open positions and all charges.
Cryptohopper’s trade-history export and Pionex’s transaction export are examples of records that can help.
Exports may need to be combined with account valuations and funding records to produce a complete return calculation.
Use actual fill prices when checking live results.
Slippage is already reflected in those prices, so deducting it again would understate the result.
Deposits and withdrawals also require care: they change account equity without being trading profits or losses, and their timing affects percentage-return calculations.
Copy trading and vault records need their own context
A visible trader address lets a reader inspect activity, but a follower’s return can differ because of entry timing, position sizing, execution, and fees.
HyperDash’s copy methodology, for example, describes following combined exposure rather than requiring identical fills.
Comparing a leader’s chart with a follower’s result therefore requires the copying rules as well as the dates.
Hyperliquid’s legacy vault documentation explains depositor terms and the leader’s profit share.
A vault’s historical chart is not the return every depositor receives. Deposit timing and the applicable charges need to be reflected in the comparison.
Read risk statistics and audit claims precisely
The Sharpe ratio compares mean periodic excess return with its variability.
To compare two ratios, use consistent return frequency, reference return, and annualisation conventions.
A short record or a change in the trading process can limit what the statistic tells a reader.
Drawdown and the observation period provide context that a single ratio cannot.
An audit claim also needs a defined subject. A security review of software does not verify an investment return.
GIPS guidance distinguishes firm-wide verification from assurance on a specific performance report.
Look for the reviewer, covered period, and scope of the report before treating the word “audited” as evidence about a strategy’s results.
The most useful record connects a defined strategy to dates, account values, and a calculation that can be checked.
That test applies equally to a user-configured bot, a copied trader and a model-driven strategy.
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