โ— Live โ€” v0.1.0

Financial intelligence
that actually works.

160+ real-time data providers, 7 specialist reasoning domains, one deterministic engine. MarketIntell doesn't hallucinate โ€” it computes.

88%
Win Rate vs Gigabrain
160+
Data Providers
7
Specialist Domains
1
LLM Call / Query
23 Wins. 2 Losses. 1 Tie.

Blind evaluation by Claude on 26 real financial queries. Category scores rated 1โ€“10.

MarketIntell vs Gigabrain  โ†’  88% Win Rate
Technical Analysis
9.0vs4.0
Market State
9.0vs1.0
Trenches / Degen
8.5vs1.0
Microstructure
8.0vs3.5
Fundamentals
8.0vs1.0
Macro / Regime
8.0vs3.5
Polymarket
8.0vs1.0
JSON Output
8.0vs5.0
Social / Sentiment
7.5vs4.5
Multi-Domain
8.6vs2.6
8.8
Avg Data Quality
8.3
Avg Synthesis
7.8
Avg Actionability
Built for traders, not chatbots.

Every component is purpose-built for financial intelligence โ€” from data ingestion to reasoning to delivery.

๐Ÿง 

Chain-of-Thought Engine

Single LLM call for synthesis. Everything else โ€” data fetching, classification, routing โ€” is deterministic. No agent loops. No hallucinated tool calls.

๐Ÿ“ก

160+ Data Providers

CoinGecko, Coinglass, DeFiLlama, Nansen, LunarCrush, Polymarket, Yahoo Finance, Twitter/X โ€” all fetched in real-time with circuit breakers and caching.

๐ŸŽฏ

7 Specialist Domains

Technical, Microstructure, Fundamentals, Macro, Social, Polymarket, Smart Money. Each domain has dedicated data pipelines and reasoning logic.

๐ŸŒ

Multi-Market Coverage

Crypto, US Equities, India Stocks. Cross-market correlation analysis. Ask about BTC and NVIDIA in the same query.

โšก

Alpha Signals

Autonomous signal generation with accuracy tracking. Backtesting engine. Screeners for momentum and fundamentals. Webhook delivery.

๐Ÿค–

AI Agents

Agents with persistent memory, scheduled execution, and approval workflows. Define your strategy, let it run autonomously.

Technical Analysis Microstructure Fundamentals Macro / Regime Social Sentiment Polymarket Smart Money Crypto US Equities India Stocks
One query. Full analysis.

Ask a question in natural language. Get real-time data, multi-domain synthesis, and actionable intelligence.

  Request โ€” POST /v1/chat
// Natural language query { "message": "What's the technical setup
on ETH right now? Include
funding rates and any smart
money moves."
, "stream": false }
  Response โ€” 3 specialists, 12.4s
{ "specialists_used": [ "technical", "microstructure", "smart_money" ], "content": "## ETH Technical Setup
Price: $3,847 | 24h: +2.4%
RSI(14): 62.3 โ€” Neutral-Bull
MACD: Bullish crossover (2h)

## Funding & OI
Perp funding: +0.012% (mild long)
OI delta 24h: +$340M

## Smart Money
3 wallets accumulated 12.4K ETH
in last 6h via DEX aggregators
..."
, "latency_ms": 12400 }
How a query flows.

One LLM call. Everything else is deterministic code โ€” no agent chains, no retry loops, no hallucinated tool use.

01

Classify

Deterministic parser identifies tickers, intent, and required specialist domains

02

Fetch

Parallel data retrieval from 160+ providers with circuit breakers and caching

03

Compute

Specialist engines run technical indicators, funding analysis, on-chain metrics

04

Synthesize

Single LLM call merges all specialist outputs into a coherent, actionable response

Use it how you want.

REST API, Telegram bot, Claude Desktop via MCP, or the built-in web chat. Same engine everywhere.

โš™๏ธ

REST API

OpenAPI spec. SSE streaming. Webhook delivery. Full programmatic access.

๐Ÿ’ฌ

Telegram Bot

@MarketIntellStagingBot โ€” ask questions, get signals, manage agents from chat.

๐Ÿ”ฎ

MCP (Claude Desktop)

Native integration with Claude Desktop. Use MarketIntell as a tool inside Claude.

๐Ÿ–ฅ๏ธ

Web UI

Built-in chat interface with session history, streaming, and specialist breakdowns.

Stop asking ChatGPT
about markets.

General-purpose AI scores 2.6/10 on financial queries.
MarketIntell scores 8.6. The data speaks.