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The best indicator for US Agg Bond (AGG)

We backtested 382 indicators across daily, weekly and hourly charts on real US Agg Bond (AGG) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.

Signaling SHORT right now — its only tested short edge (Relative Volatility Index) is signaling short — a rare case where shorting this beat staying flat (+0.1% CAGR). Signal computed on 2026-09-07, 3 days behind the price data on this page (it is rebuilt on a separate schedule).
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Key levels · as of 2026-09-10

Where US Agg Bond (AGG) stands

96.05
last daily close (2026-09-10)
97.48
200-day simple moving average price 1.5% below
97.16
50-day simple moving average price 1.1% below
96.05–99.05
52-week range

Computed from our own daily OHLCV history, not quoted from a third party. Moving averages use closing prices; "52-week" is the last 252 trading sessions.

Volatility · Weekly

Relative Volatility Index

On the weekly chart, this is the strongest risk-adjusted edge we found for US Agg Bond (AGG) over ~22.8 years — beating buy-and-hold by 0.2% CAGR.

3.3%
CAGR
0.83
Sharpe
-6.9%
Max DD
48.6%
Win rate
3.57
Profit factor
+0.2%
vs Buy&Hold
Chart

US Agg Bond (AGG) on the weekly chart

The timeframe our backtest found best for this asset. The chart is live market data; the results above are hypothetical and historical.

Chart by TradingView. Loading it contacts tradingview.com, which may set its own cookies — see our privacy policy.

MIXED
Full strategy report — every setup ranked out-of-sample, corrected for data-mining, and forward-tracked in public.
Read the verdict
Confluence · Weekly

Best multi-indicator combo

HalfTrendVortex

Going long only when all 2 agree was the strongest confluence setup we found for US Agg Bond (AGG) — trailing buy-and-hold by 0.8% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

2.3%
CAGR
0.68
Sharpe
54.3%
Win rate
35
Trades
-0.8%
vs Buy&Hold
Best by timeframe

The winner on each chart

Weekly
Relative Volatility Index
+0.2% · Sharpe 0.83
Daily
EMA 13/48 Cross
-0.7% · Sharpe 0.66
Full results

Every indicator, ranked

Ranked by Sharpe (risk-adjusted return). Hypothetical, fees included.

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Relative Volatility Index Weekly3.3%0.83-6.9%48.6%350.2%
2Instantaneous Trendline Weekly2.6%0.71-8.9%53.8%39-0.5%
3Ichimoku Cloud Weekly2.6%0.69-6.7%43.5%23-0.5%
4Trend Regularity Adaptive MA Weekly2.4%0.69-5.5%53.1%32-0.7%
5Hull Suite Weekly2.3%0.67-6.5%60.0%20-0.7%
6EMA 13/48 Cross Daily2.3%0.66-7.8%42.9%56-0.7%
7McGinley 10/30 Cross Daily2.4%0.66-11.8%46.2%39-0.7%
8SMA 15/60 Cross Daily2.4%0.66-9.6%61.7%47-0.7%
9TRIX (21) Daily2.4%0.66-9.6%60.5%43-0.7%
10Vortex Weekly2.3%0.65-9.2%57.9%38-0.8%
11KAMA 100 Trend Weekly2.4%0.65-10.4%40.6%32-0.7%
12CCI (14) Weekly2.2%0.65-5.5%46.9%64-0.9%
13EMA 20/50 Cross Daily2.3%0.64-11.3%57.9%38-0.8%
14SMA 20/50 Cross Daily2.3%0.64-9.6%56.1%57-0.7%

= held up out-of-sample. Hypothetical, costs included. See methodology.

The leverage question

What it would take to beat buy & hold on US Agg Bond (AGG)

48 of 616 tested setups beat buy-and-hold on US Agg Bond (AGG) outright. Another 113 could get there with leverage they would survive — but 0 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
MACD-V18.0×12.17×
SMA 20/50 Cross1none needed10.42×
DEMA 20/50 Cross1none needed13.33×
Supertrend Fast (10,2)1none needed12.67×
Vortex1none needed8.5×
Balance of Power1none needed9.45×

Out-of-sample, costs included. A setup is only listed if the leverage it needs is less than the leverage its own worst drawdown survives — when it isn't, no amount of leverage gets there. Volatility drag isn't modelled, so these are the optimistic case. Every indicator, ranked this way

What this means

For US Agg Bond (AGG), Relative Volatility Index on the weekly timeframe gave the best balance of return and risk in our test. It beat buy-and-hold — but remember: this is a hypothetical backtest of a standard rule, not a recommendation. Markets change. See the methodology and disclaimer.

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