AI-Powered Investment Intelligence
Cut Through the Noise.
Discover Signal.
SignalLens monitors investment voices on X, verifies their track record with backtesting, and delivers only the signals that actually get the market right — to you and your AI agent.
The Problem with Investment Social Media
And how SignalLens solves it.
The Problem
Information Overload
Hundreds of self-proclaimed market experts flood social media daily. Impossible to follow them all.
No Objective Verification
Anyone can claim to be a great trader. No systematic way to verify who actually delivers.
Signal Buried in Noise
Valuable insights get lost in a sea of hot takes, memes, and engagement bait.
Not Agent-Friendly
Existing platforms are built for human browsing. AI assistants can't access curated signals programmatically.
The SignalLens Solution
Curated Source Monitoring
Tiered credibility system. Only sources with verified track records make the cut.
Backtest-Verified Scoring
Every signal tracked against real market data. No claims without numbers.
AI-Powered Filtering
LLM classifies posts into noise vs. actionable signals. Only high-value content surfaces.
API-First & MCP-Native
Built for both humans and AI agents from day one. REST API and MCP Server included.
How It Works
From raw social media posts to verified, actionable investment signals — in four steps.
Source Monitoring
Continuously monitor curated investment voices on X/Twitter. Sources are tiered by historical accuracy.
AI Signal Detection
LLM-powered analysis classifies every post: routine commentary vs. actionable signal with ticker, direction, and conviction.
Backtest Scoring
Track each signal against real market data at 1, 3, 7, 14, and 30-day windows. Calculate hit rate and average return per source.
Multi-Channel Delivery
Consume signals via web dashboard, REST API, MCP Server, RSS feed, Telegram/Slack push, or daily email digest.
Source Intelligence in Action
Every source is scored by backtested performance. Click a card to see recent signals and their outcomes.
@TechAlphaTrader
Tier T1Tech earnings specialist. 8 years on Wall Street. Deep-dive fundamental analysis.
@MacroViewpoint
Tier T1Former central bank economist. Macro trends and index-level calls.
@MomentumSignals
Tier T2Quantitative swing trader. Price action and volume analysis.
Sample data for demonstration. Live data pipeline coming soon.
Features
Everything you need to separate signal from noise in investment social media.
Source Intelligence
AI-powered credibility scoring for investment influencers based on verified track records.
Event-Driven Backtesting
Every signal tracked against real market performance. No claims without data.
Signal Aggregation
Semantic clustering deduplicates overlapping calls. One event, one signal, best source.
Multi-Channel Delivery
Web, API, MCP, RSS, Telegram/Slack push, daily email digest. Your choice.
AI Agent Native
REST API and MCP Server built from day one. Your AI assistant speaks SignalLens.
Daily Signal Digest
Automated daily report of top signals, organized by sector and conviction level.
Built for AI Agents
Every signal, every source score, every backtest result — accessible programmatically. Your AI trading assistant doesn't need to scrape. It just asks SignalLens.
Universal Access
Standard RESTful API with JSON responses. Filter signals by score, sector, direction, or time window. Paginated, rate-limited, and documented.
- ✓ Signal search and filtering
- ✓ Source profiles and backtest stats
- ✓ Webhook subscriptions for real-time push
- ✓ Historical signal performance data
GET /api/v1/signals?min_score=70§or=tech
{
"signals": [
{
"id": "sig_20260511_001",
"source": "@TechAlphaTrader",
"source_score": 82,
"ticker": "NVDA",
"direction": "bullish",
"confidence": 0.85,
"summary": "Post-earnings momentum building, AI capex cycle still accelerating",
"posted_at": "2026-05-11T08:30:00Z",
"tracking": {
"1d": "+1.2%",
"3d": null,
"7d": null
}
}
],
"meta": {
"total": 12,
"filtered": 1,
"timestamp": "2026-05-11T10:00:00Z"
}
}AI Agent Native
Model Context Protocol server lets Claude, GPT, and custom AI agents query SignalLens as a native tool. No wrapper code needed — your agent calls SignalLens like any built-in capability.
- ✓ Direct tool integration with Claude Desktop
- ✓ Compatible with any MCP-enabled agent
- ✓ Structured output for reliable agent reasoning
- ✓ Zero-config discovery via MCP registry
// Tool: get_top_signals
{
"name": "get_top_signals",
"description": "Get highest-rated investment signals from backtest-verified sources",
"input_schema": {
"type": "object",
"properties": {
"min_score": {
"type": "integer",
"description": "Minimum source reliability score (0-100)"
},
"sector": {
"type": "string",
"description": "Filter by sector: tech, macro, energy, healthcare"
},
"lookback_hours": {
"type": "integer",
"description": "How far back to search for signals (default: 24)"
}
}
}
}About SignalLens
Our Mission
SignalLens is built by Lumi Orchid Digital Ltd, a UK-registered AI fintech company. Our mission is to democratize access to institutional-grade signal intelligence — making every investor, and their AI assistant, smarter.
We believe the future of investment research is a collaboration between human insight and AI analysis. SignalLens bridges that gap by turning the noisy world of social media investment commentary into structured, verified, machine-readable intelligence.
Team
Software engineer with deep expertise in AI/ML systems and quantitative analysis. Building at the intersection of natural language processing, financial data, and intelligent automation. Passionate about making AI work for real-world investment decisions.
Roadmap
- ● Multi-market expansion beyond US equities
- ● Virtual paper trading and portfolio simulation
- ● Personalized signal filtering and custom alert rules
- ● Trend detection and momentum prediction models
Get in Touch
Interested in SignalLens? Have questions about our API or partnership opportunities? We'd love to hear from you.
contact@napberry.com