Updated October 14, 2026. The March 4, 2021 publication described a Black Swan client's result as 153%. That figure belongs to the historical headline; it is not a return independently verified here. The original client-report video is preserved. This explanation focuses on a different question: what risk may be hidden behind an ending percentage?

A product name does not establish its protection

Black Swan is the name used in the archived material. The name alone establishes neither protection against rare events nor the strategy's mechanics or loss limits. Those conclusions require trading rules and complete account records. The original short description thanked a client for the report but did not supply that information.

Start with the path of capital through the period. Two accounts can finish a month at the same value even though one experienced small fluctuations and the other temporarily lost a substantial share of its funds. The ending value hides that difference. Pair the return with an equity series, the decline from previous peaks and the time required to recover.

A recovery example

A hypothetical account with no external cash flows falls from 10,000 to 7,500 units: a 25% drawdown. Returning to 10,000 now requires a gain of 2,500 / 7,500, or approximately 33.3%. A 25% gain would reach only 9,375. This is arithmetic based on a changed starting value, not a prediction for Black Swan.

Check whether drawdown uses balance or equity and how often values were recorded. Sparse snapshots may miss an intraday low. The MetaTrader 5 testing-report documentation distinguishes balance and equity drawdowns; those definitions apply to that particular report type.

Does the result depend on a few episodes?

Break the total down by day, instrument and trading idea. Several partial exits from one position are not independent observations merely because they occupy separate rows. Identify the largest profitable episode and the largest loss. An average can conceal dependence on a single event.

• How many calendar days and trading days are included?

• Were there inactive intervals, and did positions remain open during them?

• How did total position size and margin usage change?

• Is there a complete equity series, rather than closed trades alone?

• Does the record continue after a large loss or an unusually successful day?

Compare the exposure pattern with the explanation of position growth in grids and martingale strategies. This is a general way to assess exposure, not a claim that the archived Black Swan system used either approach.

What the archive can support

If only a video and final figure are available, record that exact evidence boundary. Missing equity history is not a reason to invent a drawdown. Request the underlying export for a more meaningful comparison, then use the profit-factor and loss-size checklist. Historical performance does not establish future returns.

For current product questions, use the New Hope enquiry form and identify the product and account conditions you want to discuss. Assess present software capabilities separately from the system name in a 2021 recording.