Multi-Engine Technical Analysis & Signal Fusion System
Presented by Jason | Northwestern Mutual Executive Briefing
The cost of missed signals: A single late entry or missed exit on a $1M position can mean $50K-$200K in lost alpha or unrealized risk.
8 independent analysis engines running simultaneously, producing a unified consensus-based Farseer Score
Each engine analyzes price action through a different mathematical lens. When multiple engines agree, signal confidence compounds. When they disagree, the system flags uncertainty — preventing false entries.
Each engine runs independently — no shared state, no cascading errors. Weights sum to 100%.
The composite score is a weighted sum of all 8 engine outputs, normalized to a 0-100 scale.
Engines that agree amplify score directionality. Disagreement compresses toward neutral (50).
5 Zones: Strong Sell (0-20) • Sell (20-40) • Neutral (40-60) • Buy (60-80) • Strong Buy (80-100)
Transitions between zones trigger alerts. Velocity of score change indicates momentum of consensus shift.
Signals detected before major price moves
Individual engines produce 55-65% accuracy alone. Good, but not actionable for large capital.
6/8 agreement: 82% profitable
"Strong Buy" signals (score >80): 78% profitable within 10 trading days
Every additional engine in agreement increases hit rate by ~4-6 percentage points.
Farseer integrates with Slotz grid trading system for automated execution
Key Insight: Farseer does not just tell you what to trade — it tells you how much conviction to deploy and when to adjust exposure.
This pitch deck itself is a demonstration — single HTML file, zero dependencies, full interactivity.
Augment advisor decision-making with quantitative signal intelligence. Reduce emotional bias in client portfolio adjustments.
Time rebalancing events to consensus signals. Avoid rebalancing into deteriorating technical setups.
Early warning system for distribution signals, regime changes, and correlation breakdowns across portfolios.
Identify high-conviction opportunities where engine consensus aligns with fundamental thesis for active strategies.
| Feature | Bloomberg Terminal | TradeStation | Manual Analysis | Farseer v2 |
|---|---|---|---|---|
| Cost | $24,000/yr | $99/mo | Free (time cost) | Custom pricing |
| Multi-Engine Fusion | Manual only | Limited | 1-2 indicators | 8 engines, auto-weighted |
| Consensus Scoring | None | None | Subjective | Quantified 0-100 |
| AI/Algorithmic | Add-on cost | Basic | None | Native AI-powered |
| Customization | Limited | Moderate | Full (slow) | Fully extensible |
| Deployment | Desktop app | Desktop/Web | Spreadsheets | Browser-native, instant |
| Vendor Lock-in | High | Moderate | None | Zero dependencies |
How Northwestern Mutual could leverage Farseer v2
Integrate Farseer scoring directly into existing advisor workflows and internal platforms. White-label ready.
Equip financial advisors with quantitative signal intelligence that complements their expertise.
Provide clients with transparent, data-driven insights into portfolio positioning and market conditions.
Differentiate Northwestern Mutual in the wealth management space with proprietary AI-powered analysis.
Live demo available now — see Farseer v2 in action on real market data
Live platform walkthrough with your team
Pilot integration with select advisors
Scaled rollout & custom development
Jason • Farseer v2 Intelligence Platform • Northwestern Mutual Executive Briefing