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The best indicator for FactSet (FDS)

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

Signaling FLAT right now — Stochastic Slow (21,5) (Weekly) is out of the market. Signal computed on 2026-09-07, 2 days behind the price data on this page (it is rebuilt on a separate schedule).
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Key levels · as of 2026-09-09

Where FactSet (FDS) stands

279.17
last daily close (2026-09-09)
247.75
200-day simple moving average price 12.7% above
273.96
50-day simple moving average price 1.9% above
187.46–366.30
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.

Momentum · Weekly

Stochastic Slow (21,5)

On the weekly chart, this is the strongest risk-adjusted edge we found for FactSet (FDS) over ~30.1 years — trailing buy-and-hold by 1.5% CAGR.

13.9%
CAGR
0.68
Sharpe
-50.6%
Max DD
53.8%
Win rate
2.22
Profit factor
-1.5%
vs Buy&Hold
Chart

FactSet (FDS) 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

StochasticDeMarker

Going long only when all 2 agree was the strongest confluence setup we found for FactSet (FDS) — trailing buy-and-hold by 9.0% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

6.6%
CAGR
0.45
Sharpe
72.3%
Win rate
119
Trades
-9.0%
vs Buy&Hold
Best by timeframe

The winner on each chart

Weekly
Stochastic Slow (21,5)
-1.5% · Sharpe 0.68
Daily
Williams %R (28)
-2.1% · Sharpe 0.65
Full results

Every indicator, ranked

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

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Stochastic Slow (21,5) Weekly13.9%0.68-50.6%53.8%106-1.5%
2Williams %R (28) Daily13.4%0.65-53.5%42.1%299-2.1%
3FRAMA 100 Trend Daily13.2%0.65-46.6%43.3%623-2.4%
4Gann HiLo Activator Daily12.8%0.64-42.6%41.1%559-2.7%
5Stochastic (20,5) Weekly13.0%0.64-52.2%55.3%103-2.4%
6WaveTrend (8/6/4) Weekly12.3%0.63-58.4%88.9%27-3.2%
7Intraday Momentum Index Weekly10.6%0.62-58.4%95.5%22-4.8%
8McGinley Dynamic Daily13.0%0.61-38.5%39.8%357-2.5%
9KDJ Weekly11.7%0.61-47.6%54.3%138-3.7%
10Volatility Regime (VIX-style) Daily9.2%0.61-31.8%44.1%245-6.4%
11Chandelier Exit Daily12.7%0.59-54.6%43.9%289-2.8%
12Chande-Kroll Stop (fast) Daily13.4%0.59-45.7%40.3%539-2.2%
13DEMA 30 Trend Daily11.0%0.59-48.2%42.3%508-4.5%
14FRAMA 200 Trend Daily11.4%0.59-50.3%43.7%568-4.1%

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

The leverage question

What it would take to beat buy & hold on FactSet (FDS)

38 of 680 tested setups beat buy-and-hold on FactSet (FDS) outright. Another 176 could get there with leverage they would survive — but 183 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
HMA 9/21 Cross2none needed3.25×
Accelerator Oscillator11.5×2.62×
LSMA 10/30 Cross11.78×2.65×
Least Squares MA11.84×3.0×
Hull MA Trend1none needed2.48×
Stochastic RSI1none needed3.66×

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 FactSet (FDS), Stochastic Slow (21,5) on the weekly 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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