Walsh: Multi-agent research pipeline with risk manager that can veto trades
Live demo: walsh-demo.vercel.app · Demo GIF Results Backtest run: AAPL · MSFT · NVDA, Jan 2023 – Dec 2023, $100k initial capital, rule-based signal agents, strict no-lookahead enforcement. Metric Walsh Pipeline Buy & Hold (equal-weight) Total Return +75.52% +119.75% Sharpe Ratio 2.36 2.86 Max Drawdown −13.50% −13.22% Win Rate 76.2% — # Trades 21 — Final Value $175,518 $219,749 Walsh underperformed buy-and-hold on this bull-market period. In Oct 2023, the pipeline exited all positions when momentum signals broke down and held cash for the entire month, missing a subsequent NVDA recovery rally.
- ▪Live demo: walsh-demo.vercel.app · Demo GIF Results Backtest run: AAPL · MSFT · NVDA, Jan 2023 – Dec 2023, $100k initial capital, rule-based signal agents, strict no-lookahead enforcement.
- ▪Metric Walsh Pipeline Buy & Hold (equal-weight) Total Return +75.52% +119.75% Sharpe Ratio 2.36 2.86 Max Drawdown −13.50% −13.22% Win Rate 76.2% — # Trades 21 — Final Value $175,518 $219,749 Walsh underperformed buy-and-hold on this bull-ma
- ▪In Oct 2023, the pipeline exited all positions when momentum signals broke down and held cash for the entire month, missing a subsequent NVDA recovery rally.
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| Original publisher | GitHub |
| Canonical URL | https://github.com/ats4321/walsh |
| Publication time | Sun, 02 Aug 2026 00:13:52 +0000 |
| Retrieval time | 2026-08-02T03:05:40.026Z |
| Last seen | 2026-08-02T03:05:40.026Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | MPfgf4FCFzjK · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Walsh Walsh is a multi-agent stock research system that routes each ticker through four specialized agents in parallel — Fundamental, Technical, Sentiment, and Macro — aggregates their theses via a confidence-weighted Portfolio Manager, then gates the final call through a Rule-Based Risk Manager that can veto or downgrade before any trade is executed. Live demo: walsh-demo.vercel.app · Demo GIF Results Backtest run: AAPL · MSFT · NVDA, Jan 2023 – Dec 2023, $100k initial capital, rule-based signal agents, strict no-lookahead enforcement. Metric Walsh Pipeline Buy & Hold (equal-weight) Total Return +75.52% +119.75% Sharpe Ratio 2.36 2.86 Max Drawdown −13.50% −13.22% Win Rate 76.2% — # Trades 21 — Final Value $175,518 $219,749 Walsh underperformed buy-and-hold on this bull-market period.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.