What Actually Works on Blue-Chip Stocks Like GE, IBKR, and AAPL — Backtested

The Buy-and-Hold Problem

If you're searching for indicators to use on a stock like GE, IBKR, or AAPL, you're competing against one of the hardest benchmarks in markets: just holding the thing. Blue chips often grind higher over years, and that passive position quietly outpaces strategies that chop in and out on signals that look reasonable until you compare them to doing nothing.

Across all 903 assets and 660,005 out-of-sample backtests — covering 1-Hour, 4-Hour, Daily, and Weekly timeframes — only 26% of all indicator-asset combinations beat buy-and-hold on a risk-adjusted basis. That's not a pessimistic reading of the data; it's the full distribution, no cherry-picking.

What Wins on Stocks

Within the stock asset class, a handful of indicators showed up as top performers across the most assets. Fibonacci Pivots led the field, winning on 22 different stocks across timeframes. Projection Bands, Intraday Momentum Index, and Camarilla Pivots each topped 16 stocks. Markov Regime rounded out the top five with 14 wins.

Fibonacci Pivots and Camarilla Pivots are both price-level frameworks that map where supply and demand tend to cluster. On heavily followed blue chips, institutional participants already watch these levels — which may be part of why they surface in the data. Projection Bands and Markov Regime both adapt to volatility regimes, which matters on a stock like AAPL where the vol environment shifts meaningfully across market cycles.

The Intraday Momentum Index combines intraday open-to-close price action with RSI math. On individual stocks — where a single earnings print or guidance revision drives real intraday dislocations — that specificity appears to carry more signal than on diversified indexes.

The Trap Indicators

Some indicators produce impressive win rates that collapse the moment you compare them to a passive position. RSI Mean-Reversion had a median win rate of 71.7% across the dataset — but only 10% of its runs beat buy-and-hold. CCI: 71.0% win rate, 9% beat-rate. Money Flow Index: 72.2% win rate, 9% beat-rate.

High win rates on mean-reversion signals look compelling in isolation. The problem on a stock that trends upward over years: every long signal you don't hold long enough, and every short signal that costs you a countertrend gain, steadily bleeds edge against the holder who did nothing. Win rate measures how often you're right; beating buy-and-hold measures whether being right was worth the friction.

What the Numbers Mean in Practice

You can find an indicator that beat buy-and-hold on a specific stock — 63% of assets in the dataset had at least one such combination. But the median best Sharpe across all assets was 0.62, which is decent yet not a windfall over a passive position that often reaches similar or higher Sharpes across long holding periods.

The practical read: on a stock you'd hold anyway — GE for a value thesis, IBKR for compounding optionality, AAPL as a core position — an indicator layer is most defensible as a timing aid for entries and position sizing, not as a reason to abandon the underlying directional thesis. The data doesn't argue for replacing buy-and-hold on blue chips; it argues for making it slightly more systematic where the right signals genuinely exist.

About These Results

Everything here is hypothetical. All backtests are out-of-sample (walk-forward) with realistic transaction costs included, but they do not reflect actual trades, real money, or guaranteed future outcomes. Markets change. Past backtest performance does not predict future results. Nothing on this site is financial advice — consult a licensed professional before making any investment or trading decisions.

Our methodology covers 382 indicators across 903 assets on four timeframes: 1-Hour, 4-Hour, Daily, and Weekly. Every figure cited in this article comes directly from that dataset.