Sharpe
Risk-adjusted return. Higher ranks first.
- Complete comparison window
- 2005-01-01 — 2022-12-31
- Initial capital
- USD 100,000
- Account and direction
- Cash account · Long-only
- Strategy inputs
- US equities · Daily or hourly
- Benchmark
- QQQ (Nasdaq-100 ETF)
Strategy family, holding period and concentration are unrestricted. QQQ is a reference, not an eligibility threshold. Every fill uses fixed 5-basis-point slippage; fees and other models follow the full rules.
Every submission must directly call once during initialization self.set_benchmark("QQQ") (or self.SetBenchmark("QQQ") ), without setting another benchmark or dynamically overriding it. You need not buy or hold QQQ. Admission checks the explicit code declaration; it is not runtime proof for arbitrary dynamic code.
The QQQ benchmark curve and statistics such as alpha/beta come from the same QC backtest as the strategy, never from other runs or old statistics. Historical records with an invalid benchmark must be rerun before publication.
Hosted evaluation currently follows QC Master. Slippage checks cover actually traded symbols. Daily equity completeness describes chart coverage, not a competition rule. Reliable counterexamples from source analysis or native QC results establish violations; a Short direction in QC closed trades violates the long-only rule. Otherwise, entries are treated as compliant under competition policy, not as fully technically verified. Open short positions may be absent from closed-trade records.
Frozen rule reading copy
# US Equity Open v1 — Participant Rules This document is the fixed participant-facing rule input for the `US Equity Open v1` Track. Submit an ordinary QuantConnect Python `main.py`. QuantOpen evaluates the frozen source after the QC run; no trusted harness or sandbox is added to participant code. ## Open strategy space You may choose any strategy family, signal, holding period, number of positions, concentration, or turnover. There is no per-asset allocation cap, and a strategy does not need to beat QQQ to be evaluated or ranked. QQQ is a reference only. ## Comparable execution rules To qualify for the Track's ranked **Leaderboard**, the backtest must: - run from `2005-01-01` through `2022-12-31`; - use `USD 100,000` initial capital; - use `BrokerageName.QuantConnectBrokerage` with `AccountType.Cash`; - remain long-only and avoid orders that sell more than the current long quantity; - use only QuantConnect US Equity Security Master instruments represented by `SecurityType.Equity` in `Market.USA`; - use only `Resolution.Daily` or `Resolution.Hourly` strategy inputs; - enable fill-forward and disable extended-market-hours data; - use `DataNormalizationMode.Raw` for subscriptions and normal execution; - use `DataNormalizationMode.Raw` or `DataNormalizationMode.ScaledRaw` for point-in-time history or indicator warm-up, with `ScaledRaw` used only in that history/warm-up role; - set `ConstantSlippageModel(0.0005)`—5 basis points per fill—on every traded Equity security; and - leave the pinned QuantConnect brokerage-provided fee, fill, settlement, and buying-power models in place rather than replacing them with custom models. LEAN split and dividend events handle corporate actions. Do not use adjusted, split-adjusted, or total-return execution data, and do not use future corporate-action information or any other future data. Cash and long-only are capabilities of this first Track, not global QuantOpen rules. Cash purchasing power provides the Track's approximately 1× execution constraint; QuantOpen does not impose an additional concentration, position count, holding-period, turnover, or drawdown limit. ## Dates and result namespaces A successful QC backtest with a different date window still receives metrics and feedback, but it appears under **Research Runs** and is not ranked against complete `2005-01-01`–`2022-12-31` runs. Only complete-window runs with available metrics and no observed rule violation can enter the internal **Leaderboard**. A non-date rule that the available QC evidence cannot prove may appear as `Rules not fully verified`; that warning is not a finding of non-compliance. Compile/runtime failure, unavailable metrics, observed rule violations, and excluded identities remain visible under **Unavailable / Excluded** with their reason. ## Measurement and feedback For the current internal interactive evaluation, QuantOpen reads the pinned QC summary fields for Sharpe ratio, compounding annual return, and maximum drawdown from an attributable completed backtest. These metrics do not prove rule compliance or official eligibility. QuantOpen reports rule outcomes independently: - `compliant`: the available evidence proves the rule passed; - `non_compliant`: the evidence shows an explicit rule violation; or - `unverifiable`: the evidence is insufficient, so do not infer compliance or modify the strategy solely because of the missing evidence. This Track is currently internal and non-official. It does not grant formal evaluation, public leaderboard, Campaign Holdout, Live Forward, or Hidden access.