Case Studies · Quant
Harbor Lattice
Multi-strategy AI trading system for teams that have outgrown a single bot and need shared risk plus a historical validation path.
Maps to P14 · AI Trading System
Illustrative Challenge
Once a starter strategy works, operators need bounded multi-bot logic, centralized risk, and a way to validate rules against history before wiring live venues.
Approach
We modeled several strategies under one risk layer, added a historical backtest path for agreed symbols, and documented AI decision components with clear provider boundaries.
Outcome
Multi-pane trading console, risk panel, and backtest report layout — handed off ready for the buyer’s rules and venues.
- 3 week build
- Shared risk layer
- Backtest path
Product names such as Meridian Apex, Signal Deck, Ledgerly, and Northline Ops are Harbor project codenames for illustrative portfolio studies. Metrics show timeline, scope, and handoff style — not client logos, attributed testimonials, or performance claims. Quant outcomes are engineering handoffs only; no profit, return, or win-rate guarantees. Illustrative portfolio studies for a new studio — not attributed client testimonials or performance claims. Quant work is engineering handoff only; no profit, return, or win-rate guarantees.
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