ARES AI trading strategy
ARES AI Trading Strategy Framework
The ARES AI trading strategy is a rules-based framework for an alternative asset manager, not personalized advice. It should be paired with live price, Q2 2026 earnings on July 31, fundraising, AUM flows, fee-related earnings, credit spreads, default data, dividend policy, and predefined risk limits.
Trend-following setup
Watch whether ARES can reclaim the 50-day moving average near $123, then challenge the 200-day moving average near $138 with volume above the 20-day average. Fundamental confirmation should include stable AUM, management-fee growth, and no credit-loss surprise.
Reduce confidence if price fails below $116, Q2 commentary shows weaker fundraising, or credit metrics deteriorate.
Mean-reversion setup
If ARES weakens toward the low $110s without a new credit or liquidity warning, compare the new price to adjusted EPS forecasts, free cash flow, dividend coverage, debt levels, and peer alternative-manager multiples before assuming support is durable.
Do not treat a lower share price as a margin of safety by itself. A lower multiple may be justified if private-credit risk or fundraising pressure is rising.
Fundamental monitor
Track total AUM, fee-paying AUM, fundraising, deployment, management fees, fee-related earnings, realized income, dividend payout, debt, net debt, credit performance, and retail redemption behavior.
Lower the AI score if AUM rises while earnings quality, credit marks, or balance-sheet leverage worsen.