Strategy Lab is where the idea earns its place.

Most trading tools hand you the hard part: guess the strategy configuration, tune every path by hand, and hope the idea survives. Strategy Lab flips that. You describe the goal; PredictDesk's trading engine runs the tuning work and brings back the setups worth your next serious look.

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Inside Strategy Lab

Scan the strategy space. Review the evidence. Carry forward what survives.

Define the search. Set the bar.

Strategy Lab starts with your criteria: the universe, structure, horizon, and the thresholds a candidate must clear.

Shape the scan with symbol, structure, side, timeframe, lookback, and interval.
Set candidate goals for expectancy, trades per year, and P95 trade risk.
Make the bar explicit before the engine starts searching.

Strategy Lab search configuration and goal criteria.

Choose how wide the engine should search.

Move from a quick sanity pass to broader strategy-space coverage without changing the research contract.

Light, Standard, Extended, and Heavy depth options frame the scan path.
The Ready state confirms required inputs before the run.
The running state keeps the scan legible as work, not a page refresh.

Strategy Lab scan depth and running scan state.

Review the candidates that cleared every goal.

This is the payoff: a ranked field of candidates that cleared the bar, with the evidence, risk, frequency, and goal fit visible before you spend time building around them.

Each row keeps entry and exit logic attached to the metrics.
Goal-fit values stay green only when the candidate clears the threshold.
The ranked field gives a real starting point for deeper review.

Qualified Strategy Lab candidates with metrics and goal fit.

Keep the almosts - but know exactly why they missed.

Near misses are not thrown away. They stay visible with the single goal that failed, so a trader can decide whether the idea is worth revising.

Passing goal metrics stay green while the missed goal turns amber.
Reason chips explain the miss without hiding the rest of the setup.
Near misses become review material, not dead ends.

Near-miss Strategy Lab candidates with the missed goal highlighted.

Inspect the evidence before you save.

The candidate view puts scorecard metrics, goal fit, cumulative path evidence, and drawdown context in one review surface.

See the candidate scorecard before carrying it forward.
Review path evidence and drawdown context without leaving the flow.
Save only the candidate that deserves the next pass.

Strategy Lab candidate scorecard and path evidence.

Carry forward the complete setup, not a loose idea.

When a candidate survives the scan, PredictDesk preserves the full strategy configuration: universe, contract setup, entry logic, exit logic, filters, and next actions. The next workflow starts from evidence, not a blank screen.

Full setup context stays attached.
Save, backtest, or carry forward from one review surface.
No retyping the strategy from scratch.

Full Strategy Lab configuration for a qualified candidate.

Strategy candidates are for deeper review only - not investment advice, trade recommendations, signals, broker execution, or promised outcomes.

Not a broker. Not investment advice. Equities and options scans and backtests typically use up to ~3 years of historical data, depending on the symbol, structure, and interval. Backtests are hypothetical. Options involve significant risk.