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01Fintech / AI

Building a Real-time Market Intelligence Platform

An AI-powered platform for crypto traders to analyze market structure, sentiment, on-chain data, and news in one dashboard with AI explanations and real-time signals.

Building a Real-time Market Intelligence Platform interface
2024 — Present
Solo
8+ months
Next.js · TypeScript · Python

The Problem

Retail traders rely on 10+ disconnected tools for charts, news, on-chain data, and signals. It's overwhelming, expensive, and inefficient.

  • Scattered data across multiple platforms
  • No unified view of market structure
  • Lack of real-time, actionable insights
  • Hard to backtest and validate strategies

Our Solution

Market Pulse unifies everything into one real-time platform with AI that helps users make faster, smarter, and more data-driven decisions.

  • Real-time market data & signals
  • AI-powered insights & explanations
  • Market structure & SMC detection
  • Backtesting and performance analytics

Architecture Overview

Key Engineering Challenges

Real-time Data Pipeline

Handling high-frequency market data with low latency and ensuring no data loss.

Data Consistency

Merging data from multiple sources with different formats and update frequencies.

AI Insight Quality

Generating accurate, explainable insights that traders can trust and act on.

Scalability

Designing the system to scale as more users, data, and features are added.

Tech Stack

Frontend

Next.jsTypeScriptTailwind CSSTradingView

Backend

PythonFastAPICeleryWebSockets

Data & AI

PostgreSQLTimescaleDBRedisLLM Pipelines

Infra

DockerAWSGrafanaCI/CD

Impact & Results

< 1s

Real-time latency

10+

Data sources integrated

90%

Time saved vs. multiple tools

20+

Countries using it

Market Pulse has completely changed how I analyze the market. Everything I need is in one place.
Crypto Trader

What I'd Improve Today

Streaming Architecture

Migrate to Kafka + ClickHouse for better throughput and analytical performance.

On-chain Indexing

Build a custom indexer for on-chain data instead of relying on third-party APIs.

AI Personalization

Add user behavior learning to provide more personalized insights based on trading style.

Real-time systems live or die by their backpressure strategy.

AI output is only useful when it is explainable and verifiable.

Shipping a narrow, reliable feature beats a broad, flaky one.

Interested in building something similar?

I'm open to exciting products, collaborations, and engineering opportunities.

Let's Connect