Quanthetic Strategy Lab Strategy

Result

    Equity

    Strategy Buy & hold

    Underwater

    below the running peak

    Supporting measures

    Acceptance screen

    thresholds are set under Costs & assumptions

    Price & trades

    Every position drawn on the candles where it happened: entry, stop, target and exit.

    Chart

    Step through

    Selected trade

    Returns

    How much it made, how steadily, and whether one good year carried the rest.

    Rolling Sharpe

    Strategy Buy & hold

    Against buy & hold

    same instrument, same days, same capital

    Rolling expectancy

    in trade space

    Rolling win rate

    Monthly returns

    percent

    By calendar year

    Seasonality

    P&L by month of year

    Risk

    What it felt like to hold through the worst of it, and what the tails of the daily returns look like.

    Drawdown & tails

    Deepest drawdowns

    peak to trough to recovery

    Daily returns

    distribution

    Exposure

    share of each month with a position open

    Trades

    Expectancy and the pieces it is made of, with where in the week and the day the trades came from.

    Trade statistics

    R-multiple distribution

    outcome per unit of risk

    Excursion map

    heat taken against best seen
    winner loser

    Hold time

    Exit efficiency

    How trades ended

    Long against short

    Streaks

    length × occurrences

    By weekday

    P&L by entry hour

    UTC

    Blotter

    Robustness

    One backtest is a single draw. Resampling the trades shows the rest of the distribution, and the sweeps show what happens when the cost assumptions get worse.

    Monte Carlo

    Simulated CAGR

    Simulated maximum drawdown

    Risk of ruin

    paths breaching each level at any point

    Cost sensitivity

    Every assumption swept, with the whole backtest re-priced at each step. A dot marks the current setting.

    Confidence

    How sure anyone can be of these numbers: the interval around the Sharpe, the record length it needs, how many variants were tried before this one, and whether trades behave like independent draws.

    Sharpe, with its uncertainty

    Is the edge real?

    Are trades independent?

    Costs & assumptions

    Everything the execution model assumes. Change anything here and the record re-prices instantly, without another run.

    Run & method

    What ran, on what data, and how every fill was priced.

    Data on this device

    Export

    What a strategy can see

    the runtime, in brief
    Quanthetic Strategy Lab
    Your strategy compiles and runs in this tab; nothing is uploaded
    Hypothetical results from historical prices. Past performance does not tell you what will happen next, and nothing here is investment advice.