Compare Trading Strategies — EdgeOS vs QuantConnect
Side-by-side equity curves, Sharpe ratios, and win rates. Connect your QuantConnect account to benchmark your algorithmic backtests against EdgeOS T1 ignition signals and the SPY buy-and-hold baseline.
What Is the Quant Lab?
The Quant Lab is a workspace panel inside TraderValue that puts three data sources side-by-side in a single view:
① EdgeOS T1 Signals
7-year rule-based backtest across 799k signals. Bull count 1 fires when SCTR > 9, trend is bullish, and extension score < 2. Win rate is regime-conditional: 55% bull, 44% chop, 38% bear.
② QuantConnect Backtests
Pull equity curves and performance metrics directly from your QC account via the REST API. Compare CAGR, Sharpe, max drawdown, and win rate against EdgeOS and the SPY baseline on the same chart.
③ TC2000 EasyScan Import
Paste any TC2000 EasyScan symbol list to instantly see which tickers have active T1 ignitions, live SCTR scores, and bull/bear counts. Use TC2000 as a universe filter, EdgeOS as the signal layer.
EdgeOS vs QuantConnect — Approach Comparison
| Dimension | EdgeOS | QuantConnect |
|---|---|---|
| Signal type | Rule-based (deterministic) | Algorithm (custom logic) |
| Entry rule | SCTR > 9 + bull count = 1 + bullish trend | User-defined (any indicator/ML) |
| Exit rule | Saty 1.618× ATR or break below trigger | User-defined |
| Universe | ~3,000 liquid US equities (ADV > $40M) | Any asset QC supports |
| Data source | Alpaca SIP + Tradier | QC LEAN engine (Polygon-grade) |
| Slippage model | Market orders, next-bar open | Configurable (spread, volume) |
| Win rate (7yr avg) | 47% all regimes, 55% bull regime | Varies by strategy |
| Sharpe ratio (SPY baseline) | SPY ≈ 0.89 (buy-and-hold) | Varies by strategy |
How to Connect QuantConnect
- 1Open the TraderValue workspace and navigate to the Quant Lab tab (⚗ icon in the sidebar).
- 2Log into quantconnect.com → Account → Management → API Tokens. Create a new token if you don't have one.
- 3Enter your QC User ID and API Token in the Quant Lab panel. Credentials are stored only in your browser session.
- 4Your QC projects and backtests will load. Select any backtest to pull its equity curve.
- 5The equity curves for EdgeOS, your QC backtest, and SPY are overlaid on the same chart with metrics side-by-side.
TC2000 EasyScan Import
TC2000 EasyScan lets you build custom screener conditions (moving average crossovers, volume surges, RS rank thresholds, etc.). The Quant Lab TC2000 tab lets you paste any symbol list from TC2000 and instantly see EdgeOS signal alignment for each ticker.
Frequently Asked Questions
What is the EdgeOS 7-year backtest win rate?
EdgeOS T1 ignition signals produced a 55% win rate in bull regimes, 44% in choppy regimes, and 38% in bear regimes, across 799,000 signals from 2017–2024. The average winning trade reached the 1.618× ATR extension target (83.1% of winners hit this level).
How do I compare my QuantConnect backtest with EdgeOS?
Connect your QuantConnect account in the Quant Lab workspace panel (open the workspace → Quant tab). Enter your QC User ID and API Token (found at quantconnect.com → Account → Management → API Tokens). Your projects and backtests will load automatically. Select any backtest to overlay its equity curve against EdgeOS and SPY.
What TC2000 data can I import?
You can paste any TC2000 EasyScan symbol list directly into the Quant Lab TC2000 tab. The tool cross-references each ticker against live EdgeOS signal data — showing which symbols have active T1 ignitions, SCTR scores, bull/bear counts, and trend classification. This lets you use TC2000 as a pre-filter and EdgeOS as a signal confirmation layer.
How does EdgeOS compare to a buy-and-hold SPY benchmark?
SPY buy-and-hold produced approximately 13.2% CAGR with a 0.89 Sharpe ratio over the same 7-year period. EdgeOS T1 signals, when combined with the Saty ATR exit framework (exit at 1.618× ATR target or stop below trigger), produced improved Sharpe ratios in bull regimes by selectively entering only during high-probability setup conditions.