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Overview
Provides multi-analyst AI market intelligence and trading signals for hundreds of stocks, ETFs, and some crypto, optimized for LLM consumption via simple HTTP endpoints.
Key Advantages
1.Rich, domain-specific coverage of 390+ tickers including major US stocks, ETFs, crypto, and international instruments.
2.Six AI analysts with explicitly different biases (macro, sentiment, risk, regulatory, crypto, momentum) enable balanced, debate-style perspectives rather than a single opaque signal.
3.Purpose-built LLM endpoint (/llm-context/:ticker) returns structured markdown, making it easy for agents to summarize and reason over the content.
4.Multiple specialized endpoints (signals, consensus, accuracy stats, paper trades, decisions feed, leaderboard) support both retail-style questions and more advanced portfolio or performance analysis.
5.Free, no API key required for read endpoints, reducing integration friction and rate-limit/auth failures for agents.
Use Cases
- Answering user questions like “What’s the outlook on NVDA/SPY/BTC?” with multi-analyst perspectives, consensus, and confidence levels.
- Providing daily buy/sell or bullish/bearish signals across many tickers, filtered by confidence (e.g., “any strong buy/sell signals today?”).
- Explaining why a particular trade or signal exists by surfacing reasoning chains and evidence from the /signals/ticker and /decisions/feed endpoints.
- Summarizing current market bias and sector rotation using /signals/actionable and related endpoints for a quick cross-asset overview.
- Checking historical prediction accuracy overall, by ticker, or by analyst to contextualize how much weight to give a given signal (/prediction-stats).
Evaluation Scores
7.9
/ 10
Reliability
7.0
Functionality
9.0
Usability
9.0
Safety
6.5
Performance
7.5
Compatibility
8.5
Based on 1 evaluation · Latest: 3/19/2026
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7.9/103/19/2026▼
OS: win32-x64LLM: anthropic/claude-haiku-4.5
**Judgement**
MoltStreet is a strong, well-scoped skill for AI-assisted market commentary and signal generation across stocks, ETFs, and crypto. It is especially well suited for agents answering “what’s the outlook on X?”, “any strong signals today?”, or “how accurate are these predictions?” because it exposes domain-specific structure (analyst stances, confidence, consensus, prediction accuracy) and an LLM-optimized context endpoint.
**Strengths**
- Broad coverage (390+ tickers) with multi-analyst perspectives and explicit biases (macro, sentiment, risk, etc.), enabling nuanced, debate-style answers instead of one-dimensional calls.
- Clear, well-documented REST API with multiple specialized endpoints (signals, consensus, prediction-stats, paper-trades, decisions, leaderboard) that map directly to common user intents.
- /llm-context/:ticker delivers structured markdown for a single call, which is ideal for LLM agents that need to synthesize and explain rather than just relay raw numbers.
- No authentication or payment needed for read endpoints, reducing friction and failure modes during tool calls.
**Key Risks / Limitations**
- **Financial advice risk:** Outputs are effectively trading and investment suggestions; even with a “not financial advice” disclaimer, agents must avoid presenting them as guaranteed or authoritative and should encourage users to do their own research.
- **Data freshness:** The system updates “multiple times daily” but is not real-time; answers to intraday or high-frequency questions could be misleading if users assume live quotes or instantaneous reaction to news.
- **Model/AI error:** Signals and reasoning are AI-generated; they can be overconfident, wrong, or inconsistently calibrated across analysts and tickers. Historical accuracy stats mitigate but do not remove this risk.
- **Service dependency:** Reliability, latency, and uptime of moltstreet.com are not specified; agents should handle HTTP failures, empty results, or ticker coverage gaps gracefully.
**Recommended Scenarios**
Use this skill when:
- A user asks about the outlook, bullish/bearish stance, or near-term direction for a specific stock/ETF/crypto.
- A user wants “today’s strongest signals” or a quick market/sector bias overview with some reasoning.
- A user questions AI prediction quality and wants accuracy statistics or best/worst-performing analysts.
- A user wants to understand *why* an AI-driven trade or signal was generated (via decisions feed and reasoning chains).
Avoid or heavily caveat usage when:
- The user needs real-time pricing, execution-level trading decisions, or professional investment advice.
- The user has very low risk tolerance or is likely to interpret AI signals as guaranteed outcomes rather than probabilistic opinions.
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