Trader – LLM agent for Robinhood with a Rust safety layer and paper trading
Trader is a new LLM-driven trading agent designed for Robinhood that incorporates a Rust safety layer. It allows users to paper trade against live market data while enforcing strict risk limits. The system logs every interaction for auditing purposes, ensuring transparency and safety in trading decisions.
- ▪Trader connects an LLM to Robinhood's trading API and enforces risk limits through a Rust safety layer.
- ▪The agent builds prompts from user-defined strategies and interacts with the LLM to execute trades.
- ▪All orders are validated against risk limits, and every action is logged for audit purposes.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/zhangxd6/Trader/ |
| Publication time | Wed, 03 Jun 2026 13:37:56 +0000 |
| Retrieval time | 2026-06-03T13:42:08.547Z |
| Last seen | 2026-06-03T13:42:08.547Z |
| 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 | glNkd49TFYr_ |
| 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 |
Rights status (four layers)
WeSearch handling by dimension
| 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
Trader — LLM-Driven Robinhood Trading Agent A Rust agent that connects an LLM to Robinhood's official agentic trading API, enforces hard risk limits in a typed safety layer, and paper-trades against live market data before you risk a dollar. What it does trader is an agentic loop that: Builds a prompt from your strategy YAML — hard thresholds (stop-loss, position caps, buy filters) and free-text judgment rules. Hands it to an LLM (OpenAI, Anthropic, Groq, Ollama, or any compatible endpoint). The LLM calls Robinhood's MCP tools to read your portfolio, fetch quotes, and place orders. Every order is intercepted by a typed Rust SafetyValidator that enforces your risk limits — rejecting anything that violates them regardless of what the model decided.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.