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The best indicator for Palantir Technologies (PLTR)

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

Signaling FLAT right now — Least Squares MA (Daily) is out of the market. Signal as of 2026-10-26.
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Key levels · as of 2026-10-26

Where Palantir Technologies (PLTR) stands

198.84
last daily close (2026-10-26)
153.26
200-day simple moving average price 29.7% above
185.25
50-day simple moving average price 7.3% above
107.27–209.05
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.

Trend · Daily

Least Squares MA

On the daily chart, this is the strongest risk-adjusted edge we found for Palantir Technologies (PLTR) over ~6.0 years — trailing buy-and-hold by 2.7% CAGR.

61.9%
CAGR
1.24
Sharpe
-39.5%
Max DD
36.4%
Win rate
1.52
Profit factor
-2.7%
vs Buy&Hold
Chart

Palantir Technologies (PLTR) 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

HalfTrendRSI Trend (>50)

Going long only when all 2 agree was the strongest confluence setup we found for Palantir Technologies (PLTR) — trailing buy-and-hold by 19.9% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

40.0%
CAGR
0.94
Sharpe
43.3%
Win rate
60
Trades
-19.9%
vs Buy&Hold
Best by timeframe

The winner on each chart

Daily
Least Squares MA
-2.7% · Sharpe 1.24
Weekly
Predictive Ranges
-5.5% · Sharpe 1.04
Full results

Every indicator, ranked

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

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Least Squares MA ✓Daily61.9%1.24-39.5%36.4%107-2.7%
2SMA 200 Trend ✓Daily50.1%1.13-40.6%43.8%16-14.6%
3McGinley 30 Trend ✓Daily65.5%1.1-70.4%31.8%220.9%
4Heikin-Ashi Trend ✓Daily52.6%1.08-70.3%44.6%285-12.1%
5Volume Zone Oscillator ✓Daily51.2%1.07-46.7%45.0%151-13.4%
6EMA-10 Trend ✓Daily52.9%1.06-50.1%43.4%129-11.8%
7SSL Channel ✓Daily50.2%1.06-54.4%43.9%57-14.4%
8Disparity (10) ✓Daily52.9%1.06-50.1%43.4%129-11.8%
9Supertrend (10,3) ✓Daily52.7%1.05-54.0%47.6%21-11.9%
10Chande-Kroll Stop (fast) ✓Daily58.6%1.05-67.6%41.2%97-6.1%
11Accumulation Swing Index ✓Daily48.0%1.04-50.0%49.2%325-16.7%
12Swing Index ✓Daily48.0%1.04-50.0%49.2%325-16.7%
13Predictive Ranges ✓Weekly59.2%1.04-67.9%57.9%19-5.5%
14Supertrend (7,3) ✓Daily49.4%1.01-58.4%43.5%23-15.3%

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

The leverage question

What it would take to beat buy & hold on Palantir Technologies (PLTR)

5 of 331 tested setups beat buy-and-hold on Palantir Technologies (PLTR) outright. Another 161 could get there with leverage they would survive — but 138 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
Balance of Power1none needed2.4×
Premier Stochastic1none needed3.38×
Trend Regularity Adaptive MA1none needed3.72×
FRAMA 200 Trend1none needed2.64×
Advance Trend Pressure1none needed2.26×
Woodie Pivots—1.91×4.11×

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 Palantir Technologies (PLTR), Least Squares MA 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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