First-to-Last Day of Month on Webull
Buy the first session of each month, sell the last — a pure calendar-seasonality test. Deployed to your own Webull account — no code, your assets never leave the broker.
Setup on Webull
- Connect your Webull account from the Brokerage page — the connection carries trade and read permissions only, never withdrawals.
- Build a strategy in the Lab (blocks or AI), or fork one from the community, and backtest it on years of minute data.
- Deploy it to Webull with a cash allocation — the strategy runs in its own isolated sleeve, so other holdings and other strategies are untouched.
- Type the live-trading confirmation. Until you do, nothing real is sent.
- Profit targets rest at Webull as real GTC limit orders; pause the strategy or the whole connection anytime.
The strategy
- WHEN the first session of the month opens · IF not invested · THEN buy with 98% of the sleeve (once per month)
- WHEN the last session of the month opens · IF invested · THEN sell the whole position
Good for: understanding how much of an asset's return accrues inside the month versus across month boundaries.
Watch out: this is a research template more than an edge: it holds ~95% of all sessions, so results usually shadow buy-and-hold minus the boundary days.
Strongest backtests for this strategy
| ETF | CAGR | max DD | trades |
|---|---|---|---|
| TECL | 27.3% | −78.0% | 67 |
| SOXX | 25.3% | −44.4% | 67 |
| SOXL | 22.5% | −90.2% | 67 |
| ROM | 21.3% | −69.4% | 67 |
| FAS | 20.1% | −66.7% | 67 |
| SPUU | 18.9% | −44.2% | 67 |
| XLK | 18.1% | −32.1% | 67 |
| SSO | 18.0% | −44.0% | 67 |
Top-8 by CAGR shown of 59 tested — hindsight selection; see the full table including the losers.
Build it from blocks (or type it in English), backtest it on 5.5 years of minute data in seconds, tweak any parameter, then paper trade it on live data. No card, no broker needed to start.
Frequently asked questions
How do I automate monthly cycle on Webull?
Connect Webull to DeployQuant (trade & read permissions only), pick the First-to-Last Day of Month template or describe it in English, backtest it on your chosen ETF, allocate cash, and confirm live trading. The strategy then runs every session in its own sleeve inside your Webull account.
Is the turn-of-the-month effect real?
It has appeared in long historical studies, but it's regime-dependent and small. These pages let you check the recent five and a half years per ETF instead of trusting a decades-old average.
Backtests are hypothetical, computed by DeployQuant's engine on minute-resolution consolidated US market data (2021-01-04 to 2026-07-17, $10,000 starting capital, no margin, fees and slippage not modeled) and do not guarantee future results. Nothing on this page is investment advice. Live trading involves risk of loss.