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RSI(2) Dip Snapback on AGG

iShares Core U.S. Aggregate Bond ETF: the broad US investment-grade bond market in one fund. Backtest 2021-01-04 to 2026-10-02, $10,000 starting capital, computed by the same engine that runs live DeployQuant strategies.

Result: RSI(2) snapback on AGG turned $10,000 into $10,936 (9.4% total, 1.6% CAGR): it beat buy-and-hold by 2.4% per year, with a maximum drawdown 7.0 points shallower than holding (10.6% vs 17.6%).
1.6%CAGR
−0.8%buy & hold CAGR
−10.6%max drawdown
0.42Sharpe ratio
174round trips
59%win rate
■ RSI(2) snapback   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

YearRSI(2) snapbackbuy & hold
20211.1%−1.6%
2022−6.7%−12.7%
20237.5%5.5%
20241.4%1.3%
20256.1%7.0%
20260.2%−2.7%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
20210.2%−0.6%−0.5%0.6%0.5%0.3%0.2%−0.0%−0.2%−0.1%0.6%0.2%
2022−0.8%−0.7%−1.4%−1.1%0.2%−1.0%1.8%−1.9%−3.9%−0.4%2.4%0.2%
20231.4%−0.9%3.5%0.8%0.5%0.0%0.3%0.1%−1.0%−0.8%1.7%1.8%
20240.6%−0.3%−0.3%−1.2%−0.1%0.8%1.1%0.3%1.3%−0.7%−0.2%0.2%
20250.4%−0.1%1.4%0.1%0.3%0.9%0.3%0.6%1.2%−0.0%−0.1%1.0%
20260.3%0.8%0.3%−0.6%−0.1%0.1%0.0%0.3%−1.3%0.5%––

Every trade

RSI(2) snapback on AGG made 174 closed round trips, an average hold of 5 days, an average winner of 0.43%, an average loser of −0.49%, a profit factor of 1.28, a longest losing streak of 5. It held a position at the close on 43.6% of trading days.

Best 10 round trips

EntryEntry priceExitExit priceReturnDays held
2023-10-31$82.382023-11-02$83.751.7%2
2022-10-21$80.652022-10-26$81.961.6%5
2023-01-30$86.982023-02-02$88.251.5%3
2022-11-30$84.472022-12-02$85.571.3%2
2025-09-03$94.762025-09-05$95.871.2%2
2023-03-02$84.152023-03-06$85.111.1%4
2024-06-10$88.102024-06-12$89.101.1%2
2022-07-20$87.802022-07-22$88.761.1%2
2023-08-03$85.012023-08-08$85.931.1%5
2022-06-28$86.242022-06-30$87.161.1%2

Worst 10 round trips

EntryEntry priceExitExit priceReturnDays held
2022-08-30$87.202022-09-29$83.29−4.5%30
2022-06-02$88.392022-06-17$86.20−2.5%15
2022-04-04$91.312022-04-14$89.51−2.0%10
2023-02-07$86.522023-02-24$84.83−1.9%17
2023-09-18$84.772023-10-02$83.30−1.7%14
2022-10-07$82.902022-10-13$81.58−1.6%6
2022-08-18$88.492022-08-29$87.21−1.4%11
2024-10-22$91.432024-11-06$90.32−1.2%15
2022-03-09$93.132022-03-17$92.09−1.1%8
2024-12-11$92.112024-12-18$91.13−1.1%7

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
2021-12-222022-10-19−10.6%3012023-12-27434
2024-02-062024-05-29−3.1%1132024-08-1376
2024-09-242024-11-14−1.9%512025-03-13119

Buy-and-hold's deepest drawdown ran from 2021-01-04 to 2022-10-20 and reached −17.6%.

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)1.6%−10.6%$10,9360.42
5 basis points−1.4%−14.5%$9,227-0.34
10 basis points−4.3%−22.6%$7,782-1.09

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules1.6%−10.6%17459%$10,936
RSI(2) < 5 / > 701.6%−10.6%16860%$10,986
RSI(2) < 15 / > 701.4%−10.6%17760%$10,860
RSI(2) < 10 / > 601.0%−10.8%18259%$10,583
RSI(2) < 10 / > 801.9%−10.7%16461%$11,155

How AGG behaved

MeasureAGG
Data in this test2021-01-04 to 2026-10-02 (1444 sessions)
Total return, buy and hold−4.5%
Annualized volatility5.8%
Deepest drawdown−18.0% (2021-01-04 to 2022-10-20)
Up days49.3%
Average daily range0.35%
Average overnight gap0.21%
Correlation to SPY0.22
Correlation to QQQ0.21
Correlation to TLT0.92
Sessions above the 200-day average63.6%
Crossings of the 200-day average50
Falls of 10% or more from a 20-day high0

The rules

Buy extreme 2-day RSI washouts under 10, exit as soon as RSI(2) recovers above 70.

  1. WHEN the market opens · IF not invested AND RSI(2) < 10 · THEN buy with 98% of the sleeve
  2. WHEN the market opens · IF invested AND RSI(2) > 70 · THEN sell the whole position

A short-horizon mean-reversion template popularized by Larry Connors' RSI-2 research. A 2-period RSI under 10 flags a sharp multi-day selloff. In assets with a persistent upward drift, those selloffs have tended to snap back within days. Trades are frequent and short. This is the highest-turnover template in the library.

Good for: liquid index ETFs with strong long-term drift; turnover is high so per-trade edges are small.
Watch out: high trade counts make results sensitive to execution quality; a crash that keeps crashing will hand this template several losing entries in a row.

Run RSI(2) snapback on AGG 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 RSI(2) snapback beat buy-and-hold on AGG?

Over 2021-01-04 to 2026-10-02, RSI(2) snapback on AGG returned 1.6% annualized vs −0.8% for buy-and-hold: it beat buy-and-hold by 2.4% per year, with a maximum drawdown 7.0 points shallower than holding (10.6% vs 17.6%).

How many trades did it make?

174 completed round trips over 5.7 years (348 fills), with 59% of round trips closing profitably.

How often does RSI(2) trade?

Far more than RSI(14), with dozens of round trips per year on a volatile ETF. The backtest table on each page shows the exact count over the test window.

Is RSI(2) too fast for daily bars?

It is designed for daily bars. The 2-day window catches short, sharp washouts rather than long regimes.

Related

RSI(2) Dip Snapback on all 59 ETFsfull results table All strategies on AGG12 templates compared RSI(14) Mean Reversion on AGGsame ETF, different rulesGolden Cross (SMA 50/200) on AGGsame 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.