ALLY AI trading strategy
ALLY AI Trading Strategy Framework
The ALLY AI trading strategy is a research framework, not personalized advice. It focuses on credit-sensitive trend following, mean reversion near book value, strict invalidation, and monitoring of charge-offs, deposits, and capital returns. Position sizing should assume ALLY can reprice quickly around earnings, unemployment data, and used-vehicle prices.
Trend-following setup
Wait for price to hold above the $42 to $43 support zone around the 200-day moving average and then reclaim and hold above the 50-day moving average near $44.33 before adding to upside exposure, ideally with auto credit and deposit cost data staying constructive.
Use a hard invalidation on a sustained close below $42.00, keep position size modest relative to bank peers, and avoid adding risk into earnings if retail auto NCO or provision guidance deteriorates.
Mean-reversion setup
A pullback toward $40 to $42 that still holds above the 200-day structure can be treated as a valuation-mean-reversion zone only if CET1 stays near or above 10%, adjusted TBVPS of $42.12 keeps rising, and charge-offs do not reverse the 2025-2026 improvement path.
Do not average down through a credit-cycle break. If net charge-offs reaccelerate or management pauses buybacks for capital reasons, treat the mean-reversion thesis as broken.
Risk controls and monitoring data
Track retail auto NCO and 30+ day delinquencies, estimated retail auto originated yield, retail deposit portfolio yield and customer growth, CET1, adjusted TBVPS, share repurchase pace, and Q3 2026 results expected around mid-October 2026.
Define max loss before entry, avoid leverage into rate or credit shocks, and re-check the thesis after each quarterly credit and capital update rather than treating the current P/B as a permanent floor.