WARNING: NOT AN INVESTMENT TOOL. This is a technical demonstration of multi-agent AI systems. All output is AI-generated and must not be used as financial advice.
Release History

Changelog

What's shipped in ProspectAI — the multi-agent brain behind this system (Market Analyst → Technical Analyst → Fundamental Analyst → Draft Strategist → Critic → Final Strategist) and the web frontend that drives it. Newest first.

ProspectAI Module

v1.9.2

  • Refactor reasoning and validation logic in action selection and portfolio management
ProspectAI Module

v1.9.1

  • Archive deterministic-enforcement-v1-9-1 and critic-evidence-grounded-review
  • Enforce deterministic bounds/policy on portfolio output and fix Critic's inverted CURRENT_ENTRY rule
  • Add sector filter dropdown to Performance tab for enhanced data analysis
  • Add loading skeletons and update donut chart legends for improved UX
  • single filtered donut chart with a sector dropdown. - Improve Performance table by excluding recent entries, deduplicating rows, adding a version column, and including a stop-loss disclaimer. - Update specs and tasks to reflect new requirements and ensure proper implementation.
  • Implement sortable headers for Return and Signal Date in Performance table
  • Add sortable headers for Return and Signal Date in Performance table
  • Implement Stats Page with Enhanced UX and Backend Integration
  • Add Stats page with LONG-BUY track record and usage metrics
  • Add section for custom slash commands in CLAUDE.md
  • Add action totals summary section to analytics output
  • Add action breakdown by sector to analytics API and update command output
  • Implement reasoning-based action selection in Draft Strategist
ProspectAI Module

v1.9.0

  • enhance LONG-BUY trade setup logic to ensure stop_loss and entry zones are anchored to current_price
  • harden PositionRecommendation schema: auto-correct above-zone trade_setup invariant violations before Pydantic validation
  • remove scaled_entry_setups from draft output in ProspectAIFlow
  • remove SCALED-ENTRY action and related logic from PositionRecommendation schema
  • implement reasoning-based action selection in Draft Strategist, removing SCALED-ENTRY and enhancing Critic validation
ProspectAI Module

v1.8.1

  • catch LONG-BUY outside entry zone, degenerate zones, and bucket accounting errors
  • add risk aversion profile selector to portfolio allocation
  • implement continuous scrolling marquee for recent-wins strip with hover pause and seamless looping
  • enhance token tracking in ExecutionTracker and AnthropicCachingCompletion for improved cache metrics
ProspectAI Module

v1.8.0

  • update tests to use AnthropicCachingCompletion and improve structure
  • replace CachingLLM with make_caching_llm factory for improved prompt caching
  • implement CachingLLM for prompt caching and enhance execution tracking metrics
  • implement long-buy wins enrichment with trigger price and recommendation label