TraderVector does not define the “best trader” solely by return.
Our philosophy is to present trader performance together with the risk, drawdown, consistency, stability and historical context that give return its meaning.
Beyond a single number.
Return is the most visible figure in trading — and the most easily misunderstood. A high return achieved through high risk tells a very different story from the same return achieved through a consistent, lower-drawdown path. TraderVector is built to make that difference visible.
When sufficient data becomes available, our evaluation will consider multiple dimensions together, rather than ranking traders by return alone. No metric is presented as a verdict, and no ranking is presented as a guarantee of future performance.
Multiple dimensions, evaluated together.
Performance
Total return over the available track record, expressed in context — never as a standalone verdict.
Drawdown
The historical peak-to-trough decline. Provides important context about the losses a strategy has endured.
Volatility
The variability of returns over time. Higher volatility generally implies a less predictable path.
Consistency
How reliably performance has evolved over time, rather than relying on a few exceptional periods.
Stability
Whether results hold across different market regimes or depend on a narrow window of conditions.
Track-record length
Longer track records generally provide more historical context than shorter ones.
Recovery
How a strategy has historically recovered from drawdowns — a behavioural signal, not a guarantee.
Risk-adjusted performance
Return considered relative to the risk taken to achieve it, where data permits.
Read metrics in context.
No single metric should be considered in isolation. Trader evaluation should take into account the broader context of the available data.
- Higher historical returns may be associated with higher levels of risk.
- Drawdown provides important context about historical losses.
- Consistency helps users understand how performance has evolved over time.
- Longer track records generally provide more historical context than shorter ones.
- Comparisons should consider multiple dimensions rather than focusing exclusively on return.
- The relevance of any metric depends on the quality, completeness and period of the available data.
Observed historical data
Raw, factual records of what has happened — equity, returns, drawdowns over a defined period.
Descriptive metrics
Calculations derived from that history — risk scores, consistency ratings, stability measures.
Explanatory information
Context that helps you understand what a metric means and how to read it responsibly.
Where appropriate, TraderVector displays the source and last update date of the data behind each metric.
Historical data has limits.
TraderVector is designed to help users interpret and compare available information more clearly. But historical data has limitations and cannot predict future results. No metric, ranking or comparison presented here is a guarantee of future performance.
The relevance of any metric depends on the quality, completeness and period of the data behind it. Where data is limited, conclusions should be proportionate.