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First-to-Last Day of Month on TLT

iShares 20+ Year Treasury Bond ETF: long-duration Treasuries, one of the most rate-sensitive bond ETFs. Backtest 2021-01-04 to 2026-10-02, $10,000 starting capital, computed by the same engine that runs live DeployQuant strategies.

Result: monthly cycle on TLT turned $10,000 into $6,167 (−38.3% total, −8.1% CAGR): it beat buy-and-hold by 0.2% per year, with a maximum drawdown of 46.2% (buy-and-hold: 42.8%).
−8.1%CAGR
−8.2%buy & hold CAGR
−46.2%max drawdown
-0.52Sharpe ratio
69round trips
43%win rate
■ monthly cycle   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

Yearmonthly cyclebuy & hold
2021−5.3%−4.4%
2022−30.7%−30.2%
2023−1.1%2.7%
2024−6.7%−7.7%
20255.4%4.0%
2026−4.0%−7.7%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
2021−3.9%−7.0%−3.0%1.4%−0.1%4.5%3.5%0.1%−3.3%1.1%3.4%−1.6%
2022−2.9%−2.6%−5.8%−8.0%−0.6%−1.7%1.4%−4.6%−4.9%−6.9%4.3%−3.0%
20234.6%−6.3%4.4%0.3%−3.0%−1.3%−3.0%−2.3%−6.6%−4.0%9.2%8.6%
2024−2.0%−3.5%1.1%−5.1%2.0%3.3%4.5%2.5%1.1%−6.5%1.4%−5.0%
20250.6%3.7%−0.3%−1.6%−3.5%2.9%−1.1%−1.0%4.6%1.1%0.9%−0.9%
2026−0.1%4.1%−3.3%−0.5%0.4%2.6%−3.4%0.3%−4.5%0.6%––

Every trade

monthly cycle on TLT made 69 closed round trips and one position still open at the end of the test, an average hold of 28 days, an average winner of 2.88%, an average loser of −3.37%, a profit factor of 0.59, a longest losing streak of 7. It held a position at the close on 95.2% of trading days.

Best 10 round trips

EntryEntry priceExitExit priceReturnDays held
2023-11-01$74.222023-11-30$81.239.4%29
2023-12-01$80.872023-12-29$88.068.9%28
2025-09-02$81.502025-09-30$85.384.8%28
2023-01-03$87.642023-01-31$91.784.7%28
2021-06-01$114.622021-06-30$119.944.6%29
2024-07-01$81.932024-07-31$85.694.6%30
2023-03-01$87.022023-03-31$90.954.5%30
2022-11-01$83.142022-11-30$86.844.5%29
2026-02-02$84.412026-02-27$87.944.2%25
2025-02-03$82.222025-02-28$85.323.8%25

Worst 10 round trips

EntryEntry priceExitExit priceReturnDays held
2022-04-01$109.522022-04-29$100.46−8.3%28
2021-02-01$125.382021-02-26$116.41−7.2%25
2022-10-03$88.492022-10-31$82.20−7.1%28
2023-09-01$84.012023-09-29$78.30−6.8%28
2024-10-01$90.422024-10-31$84.38−6.7%30
2023-02-01$92.522023-02-28$86.56−6.4%27
2022-03-01$118.112022-03-31$111.00−6.0%30
2024-04-01$83.662024-04-30$79.33−5.2%29
2024-12-02$85.872024-12-31$81.49−5.1%29
2022-09-01$93.442022-09-30$88.77−5.0%29

Prices are adjusted for splits and dividends, so they sit below the quotes printed at the time. An open position is marked at the last close.

Largest drawdowns

PeakLow pointDepthDays to lowRecoveredDays to recover
2021-01-042023-10-19−46.2%1018not yet–

Buy-and-hold's deepest drawdown ran from 2021-01-04 to 2023-10-19 and reached −42.8%.

With trading costs

The headline run fills at the bar price. These runs charge slippage on every fill.

Slippage per fillCAGRMax drawdownFinal valueSharpe
None (headline)−8.1%−46.2%$6,167-0.52
5 basis points−9.1%−47.9%$5,779-0.60
10 basis points−10.2%−49.7%$5,384-0.69

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules−8.1%−46.2%6943%$6,167
Only after a positive month−3.1%−27.1%2945%$8,358
Only above the 200-day SMA−3.8%−25.2%2339%$7,984
With a 5% profit target−6.8%−39.1%6945%$6,690

How TLT behaved

MeasureTLT
Data in this test2021-01-04 to 2026-10-02 (1444 sessions)
Total return, buy and hold−40.5%
Annualized volatility15.3%
Deepest drawdown−44.1% (2021-01-04 to 2023-10-19)
Up days49.0%
Average daily range0.94%
Average overnight gap0.54%
Correlation to SPY0.08
Correlation to QQQ0.09
Sessions above the 200-day average35.2%
Crossings of the 200-day average95
Falls of 10% or more from a 20-day high3

The rules

Buy the first session of each month and sell the last, as a calendar-seasonality test.

  1. WHEN the first session of the month opens · IF not invested · THEN buy with 98% of the sleeve (once per month)
  2. WHEN the last session of the month opens · IF invested · THEN sell the whole position

This template uses no indicators. It tests the turn-of-the-month effect by holding from each month's first open to its last. Whatever it earns or loses comes from calendar seasonality alone, so it is a useful comparison against buy-and-hold on the same page.

Good for: measuring how much of an asset's return accrues inside the month versus across month boundaries.
Watch out: this is a research template. It holds ~95% of all sessions, so results usually track buy-and-hold minus the boundary days.

Run monthly cycle on TLT yourself, free →

Build it from blocks (or type it in English), backtest it on 5.7 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

Did monthly cycle beat buy-and-hold on TLT?

Over 2021-01-04 to 2026-10-02, monthly cycle on TLT returned −8.1% annualized vs −8.2% for buy-and-hold: it beat buy-and-hold by 0.2% per year, with a maximum drawdown of 46.2% (buy-and-hold: 42.8%).

How many trades did it make?

69 completed round trips over 5.7 years (139 fills), with 43% of round trips closing profitably.

Is the turn-of-the-month effect real?

It has appeared in long historical studies, but it depends on the market regime and is small. These pages show the recent five and a half years per ETF.

Related

First-to-Last Day of Month on all 59 ETFsfull results table All strategies on TLT12 templates compared RSI(14) Mean Reversion on TLTsame ETF, different rulesRSI(2) Dip Snapback on TLTsame ETF, different rules

Backtests are hypothetical, computed by DeployQuant's engine on minute-resolution consolidated US market data (2021-01-04 to 2026-10-02, $10,000 starting capital, no margin, no fees or slippage in the headline run; buy-and-hold puts 98% of the account in at the first open, as the templates do) and do not guarantee future results. Nothing on this page is investment advice. Live trading involves risk of loss.