The best indicator for Willis Towers Watson (WTW)
We backtested 382 indicators across daily, weekly and hourly charts on real Willis Towers Watson (WTW) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.
Where Willis Towers Watson (WTW) stands
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.
Camarilla Pivots
On the weekly chart, this is the strongest risk-adjusted edge we found for Willis Towers Watson (WTW) over ~25.4 years — beating buy-and-hold by 0.8% CAGR.
Willis Towers Watson (WTW) 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.
Best multi-indicator combo
Going long only when all 2 agree was the strongest confluence setup we found for Willis Towers Watson (WTW) — trailing buy-and-hold by 6.7% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.
The winner on each chart
Every indicator, ranked
Ranked by Sharpe (risk-adjusted return). Hypothetical, fees included.
| # | Indicator | TF | CAGR | Sharpe | Max DD | Win | Trades | vs B&H |
|---|---|---|---|---|---|---|---|---|
| 1 | Camarilla Pivots ✓ | Weekly | 10.8% | 0.69 | -23.5% | 46.8% | 269 | 0.8% |
| 2 | Demand Index ✓ | Weekly | 10.9% | 0.65 | -48.8% | 73.4% | 64 | 0.9% |
| 3 | Fibonacci Pivots ✓ | Weekly | 8.7% | 0.61 | -35.2% | 47.8% | 205 | -1.3% |
| 4 | Murrey Math Lines ✓ | Daily | 8.4% | 0.58 | -35.8% | 79.7% | 69 | -1.5% |
| 5 | Projection Bands ✓ | Daily | 7.9% | 0.54 | -32.1% | 66.4% | 214 | -2.1% |
| 6 | MA Envelope ✓ | Weekly | 7.9% | 0.54 | -45.2% | 72.7% | 55 | -2.0% |
| 7 | Pivot Points (Standard) ✓ | Weekly | 7.4% | 0.54 | -35.2% | 46.5% | 185 | -2.6% |
| 8 | Detrended Price Osc. ✓ | Weekly | 7.8% | 0.52 | -23.6% | 55.3% | 150 | -2.2% |
| 9 | MA Envelope ✓ | Daily | 7.3% | 0.51 | -32.3% | 65.4% | 133 | -2.6% |
| 10 | SMC: Liquidity Sweep ✓ | Daily | 8.2% | 0.5 | -45.2% | 75.0% | 92 | -1.7% |
| 11 | Projection Bands ✓ | Weekly | 6.7% | 0.5 | -36.9% | 76.7% | 43 | -3.2% |
| 12 | Keltner Mean-Reversion ✓ | Daily | 5.8% | 0.49 | -28.4% | 66.2% | 68 | -4.1% |
| 13 | Intraday Momentum Index ✓ | Daily | 6.7% | 0.49 | -30.0% | 74.6% | 71 | -3.2% |
| 14 | SMC: Liquidity Sweep ✓ | Weekly | 7.3% | 0.49 | -51.6% | 84.2% | 19 | -2.7% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on Willis Towers Watson (WTW)
11 of 648 tested setups beat buy-and-hold on Willis Towers Watson (WTW) outright. Another 62 could get there with leverage they would survive — but 103 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| MA Envelope | 2 | none needed | 4.43× |
| Pivot Points (Standard) | 2 | none needed | 4.85× |
| Fibonacci Pivots | 2 | none needed | 5.1× |
| Projection Bands | 1 | 1.23× | 4.43× |
| Demand Index | 1 | 1.79× | 3.72× |
| Camarilla Pivots | 1 | 3.07× | 4.75× |
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
For Willis Towers Watson (WTW), Camarilla Pivots 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.
More stock
Get alerted when Willis Towers Watson’s signal flips
We track Willis Towers Watson daily. Its backtested best indicator, Camarilla Pivots (Weekly), is flat right now — we'll email you the moment that changes. Free, no spam, unsubscribe any time.