Systematic Income Generation Through Machine-Learned Timing
Annual US Dividend Payments
Of S&P 500 Companies Pay Dividends
Dividend payments create predictable, calendar-driven price anomalies around ex-dates. Our AI system exploits these patterns with precision timing, capturing income events while minimizing capital exposure duration.
Annual Dividend Events Tracked
Many ETFs Pay Monthly Dividends
Entry & Exit Optimization
AI scans upcoming ex-dates, backtests each ticker's historical behavior around dividends, and scores the opportunity.
Buy shares optimally timed before the ex-dividend date. AI determines the ideal entry window (1-5 days pre-ex).
Hold through ex-date to qualify for the dividend, or sell before ex-date on momentum depending on the strategy selected.
Exit the position once price recovers or dividend is secured. Redeploy capital to the next opportunity.
Capital is typically deployed for 2-7 days per capture event
AI analyzes 250 days of OHLCV data per ticker to determine which strategy has the highest expected value for each specific dividend event.
Monthly payers provide 12x more capture opportunities than quarterly payers
For each ticker, the AI ingests 250 trading days of open, high, low, close, and volume data. It maps every historical ex-date event and measures price behavior in the surrounding windows.
Quantifies the typical gap-down on ex-date morning. Determines if the dividend amount exceeds, matches, or underperforms the gap. This drives Strategy A vs B selection.
Risk-adjusted momentum score combining pre-ex price movement, volume surge patterns, and historical recovery speed. Higher X = higher confidence.
Monthly-paying tickers (Tiers 1-5) provide consistent weekly capture opportunities
Limited Duration Exposure: Capital is in the market only 30-40% of the time
Past performance is illustrative and does not guarantee future results. Backtest based on 250 days of historical data across tiered universe.
| Timeframe | Conservative (12%) | Target (15%) |
|---|---|---|
| 1 Year | $112,000 | $115,000 |
| 3 Years | $140,500 | $152,100 |
| 5 Years | $176,200 | $201,100 |
| 10 Years | $310,600 | $404,600 |
DRIP reinvestment compounds
every captured dividend
Projections assume consistent reinvestment of captured income. Actual results may vary.
Key difference: Duration of capital exposure is the primary risk reducer
Farseer's momentum and sentiment signals layer on top of dividend timing. When both align, confidence scores increase dramatically.
Grid trading provides a safety net around dividend positions. If price drops post-ex, grid levels accumulate, averaging down while dividends compound.
The platform runs on a suite of over 2,000 custom-built analysis, backtesting, and execution tools, all orchestrated through a unified intelligence layer.
Systematic monthly income stream designed for those who need reliable cash flow. Low duration exposure reduces sequence-of-returns risk.
Clients wanting better yield than bonds or savings without permanent equity exposure. Disciplined position sizing and stop-losses protect capital.
Systematic, rules-based, auditable. The AI engine produces documented trade rationale for every entry and exit, perfect for institutional compliance.
This strategy is designed to complement, not replace, existing NM portfolio allocations.
Dedicated sleeve within client accounts for active dividend capture. AI generates signals; advisor approves execution. Full transparency on every trade.
Layer dividend capture on top of existing allocations. When clients hold dividend-paying equities anyway, the AI optimizes timing of entry and exit around ex-dates.
Strategy A (pre-ex momentum) generates short-term capital gains, avoiding qualified dividend holding period requirements. Both strategies can be optimized for tax lot management.
AI-Powered Dividend Capture Intelligence is ready for deployment. Let's discuss how this systematic income engine can serve Northwestern Mutual clients.
Pilot program with select advisor group. Paper-trade validation over 60-90 days.
Live deployment with conservative position sizing. Monthly performance reporting.
Full integration into NM advisor toolkit. Scaled across client segments.
Confidential | Northwestern Mutual Executive Briefing | 2025