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The best indicator for Public Service Enterprise Group (PEG)

We backtested 382 indicators across daily, weekly and hourly charts on real Public Service Enterprise Group (PEG) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.

Signaling LONG right now — Markov Regime (Daily) has been long for 10339 bars. Signal as of 2026-10-23.
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Key levels · as of 2026-10-23

Where Public Service Enterprise Group (PEG) stands

72.02
last daily close (2026-10-23)
77.11
200-day simple moving average price 6.6% below
71.23
50-day simple moving average price 1.1% above
66.56–84.74
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.

Trend · Daily

Markov Regime

On the daily chart, this is the strongest risk-adjusted edge we found for Public Service Enterprise Group (PEG) over ~46.8 years — trailing buy-and-hold by 0.5% CAGR.

11.2%
CAGR
0.6
Sharpe
-54.3%
Max DD
57.7%
Win rate
306.0
Profit factor
-0.5%
vs Buy&Hold
Chart

Public Service Enterprise Group (PEG) on the daily 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.

NOTHING BEAT BUY-AND-HOLD
Full strategy report — every setup ranked out-of-sample, corrected for data-mining, and forward-tracked in public.
Read the verdict
Confluence · Daily

Best multi-indicator combo

Fisher TransformDeMarker

Going long only when all 2 agree was the strongest confluence setup we found for Public Service Enterprise Group (PEG) — trailing buy-and-hold by 8.8% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

3.3%
CAGR
0.35
Sharpe
49.9%
Win rate
459
Trades
-8.8%
vs Buy&Hold
Best by timeframe

The winner on each chart

Daily
Markov Regime
-0.5% · Sharpe 0.6
Weekly
QQE
-2.1% · Sharpe 0.54
Full results

Every indicator, ranked

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

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Markov Regime ✓Daily11.2%0.6-54.3%57.7%26-0.5%
2VIDYA 100 Trend ✓Daily8.8%0.54-51.6%36.2%58-2.9%
3QQE ✓Weekly9.5%0.54-50.8%55.1%136-2.1%
4SMA 20/50 Cross ✓Weekly8.1%0.53-47.3%61.5%26-3.5%
5SMC: Change of Character ✓Weekly8.1%0.53-40.0%76.9%26-3.5%
6QQE ✓Daily9.1%0.52-54.0%42.1%703-2.6%
7VIDYA 200 Trend ✓Daily10.0%0.55-63.9%35.7%14-1.7%
8McGinley 30 Trend ✓Weekly8.5%0.51-63.5%51.1%47-3.1%
9SMA 15/60 Cross ✓Weekly7.8%0.51-47.6%65.2%23-3.8%
10ROC (60) ✓Weekly7.7%0.51-40.3%52.4%63-3.9%
11TRIX (21) ✓Weekly7.9%0.51-46.3%72.2%18-3.7%
12Williams %R ✓Daily6.4%0.5-52.3%71.4%308-5.3%
13Stochastic Momentum Index ✓Daily5.7%0.5-44.8%73.6%197-6.0%
14McGinley 100 Trend ✓Daily7.8%0.5-45.7%33.3%168-3.9%

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

The leverage question

What it would take to beat buy & hold on Public Service Enterprise Group (PEG)

3 of 711 tested setups beat buy-and-hold on Public Service Enterprise Group (PEG) outright. Another 114 could get there with leverage they would survive — but 259 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
Demand Index11.71×2.98×
MA Envelope12.47×3.12×
Connors RSI1none needed3.06×
SMC: Liquidity Sweep—1.08×3.55×
Williams %R—1.39×2.81×
QQE—1.51×2.74×

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 Public Service Enterprise Group (PEG), Markov Regime on the daily timeframe gave the best balance of return and risk in our test. It still trailed buy-and-hold on raw return — 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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