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The best indicator for Freeport-McMoRan (FCX)

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

Signaling LONG right now — FRAMA 10/30 Cross (Weekly) has been long for 10 bars. Signal computed on 2026-10-19, 4 days behind the price data on this page (it is rebuilt on a separate schedule).
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Key levels · as of 2026-10-23

Where Freeport-McMoRan (FCX) stands

65.18
last daily close (2026-10-23)
64.75
200-day simple moving average price 0.7% above
71.75
50-day simple moving average price 9.2% below
38.29–79.74
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 · Weekly

FRAMA 10/30 Cross

On the weekly chart, this is the strongest risk-adjusted edge we found for Freeport-McMoRan (FCX) over ~31.3 years — beating buy-and-hold by 10.9% CAGR.

18.7%
CAGR
0.71
Sharpe
-45.3%
Max DD
59.1%
Win rate
2.29
Profit factor
+10.9%
vs Buy&Hold
Chart

Freeport-McMoRan (FCX) 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.

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

HalfTrendMACDVortex

Going long only when all 3 agree was the strongest confluence setup we found for Freeport-McMoRan (FCX) — beating buy-and-hold by 2.1% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

9.8%
CAGR
0.47
Sharpe
42.6%
Win rate
291
Trades
+2.1%
vs Buy&Hold
Best by timeframe

The winner on each chart

Weekly
FRAMA 10/30 Cross
+10.9% · Sharpe 0.71
Daily
T3 30 Trend
+5.6% · Sharpe 0.58
Full results

Every indicator, ranked

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

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1FRAMA 10/30 Cross ✓Weekly18.7%0.71-45.3%59.1%11010.9%
2McGinley Dynamic ✓Weekly17.9%0.6-59.8%35.3%3410.1%
3LSMA 10/30 Cross ✓Weekly15.8%0.6-57.0%50.0%628.1%
4T3 30 Trend ✓Daily13.6%0.58-46.3%43.9%1555.6%
5Chaikin Oscillator ✓Weekly14.0%0.56-58.5%49.4%836.3%
6A/D Oscillator ✓Weekly14.0%0.56-58.5%49.4%836.3%
7Vertical Horizontal Filter ✓Weekly10.2%0.55-38.5%58.5%412.5%
8T3 10/40 Cross ✓Daily13.3%0.54-53.4%45.9%855.4%
9Zero-Lag EMA Cross ✓Weekly13.3%0.54-60.9%45.1%715.6%
10ZLEMA 10/30 Cross ✓Weekly13.3%0.54-60.9%45.1%715.6%
11Advance Trend Pressure ✓Weekly12.1%0.54-61.1%48.8%864.4%
12Hull MA 30 Trend ✓Weekly11.7%0.53-44.5%44.7%943.9%
13Relative Volatility Index ✓Weekly12.0%0.52-78.5%37.8%904.2%
14Accumulation Swing Index ✓Weekly12.6%0.52-51.5%47.8%3454.8%

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

The leverage question

What it would take to beat buy & hold on Freeport-McMoRan (FCX)

9 of 695 tested setups beat buy-and-hold on Freeport-McMoRan (FCX) outright. Another 146 could get there with leverage they would survive — but 451 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
Relative Volatility Index1none needed1.74×
Ehlers Cyber Cycle1none needed2.33×
Zero-Lag LSMA1none needed2.03×
Accumulation Swing Index1none needed1.95×
Swing Index1none needed1.95×
FRAMA 10/30 Cross1none needed2.15×

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 Freeport-McMoRan (FCX), FRAMA 10/30 Cross 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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