Market Sentiment Signals for Traders — Extending a Trading Platform
Real-time signals
Summary
We built a system that extends an existing trading platform with an additional signal for traders: market sentiment per asset. The system scrapes the web for news, social chatter, and other public sources, then derives and suggests market sentiment for each crypto token (or other traded asset). Traders get an extra, data-driven input alongside price and volume—so they can factor in what the market is "feeling" about each token without manually scanning the web.
Domain: Financial Services Operations · Trading & Risk
Process type: Business process automation (manual research → automated signal); data ingestion + sentiment as a signal; extends existing platform with intelligent automation
The Client Situation
A trading business already had a platform for execution, prices, and basic analytics. Traders wanted to incorporate market sentiment into their decisions—how the crowd and media talk about each token—but doing that manually (reading news, social, forums) didn't scale. The business needed a system that would scrape the web, aggregate relevant content per asset, and suggest market sentiment for each crypto token (or instrument) so traders could use it as one more signal inside their existing workflow.
What We Delivered
Extension to the existing trading platform
We designed and delivered a module that plugs into the existing trading platform rather than replacing it. Traders keep their current UI and workflows; they gain an additional sentiment signal alongside price, volume, and other data.Web scraping for sentiment-relevant content
The system scrapes the web for sources that reflect market mood: news, social media, forums, and other public content. Scraping is targeted per asset (e.g. per crypto token) so that the signal is token-level, not generic.Market sentiment suggested per token
From the scraped content, the system derives and suggests market sentiment for each crypto token (or other traded asset). That might be a score, a label, or a short summary—whatever fits the platform and the traders' habits. The goal: traders see "what the market is saying" about each token without leaving the platform or doing the research by hand.Operational signal, not replacement of judgment
The sentiment is an additional input for traders—not an automatic trading decision. Humans still decide; the system automates the heavy lifting of gathering and summarizing web-based sentiment so it can be used at scale.
Outcome
We delivered a system that extends the existing trading platform with market sentiment as an extra signal: web scraping plus suggested sentiment per crypto token (or asset), so traders can factor in crowd and media mood alongside price and volume. The client gets more signal without more manual work—the manual "scan the web for mood" process is now automated. The same pattern—automate the research step, derive a signal, feed into an operational workflow—applies to any trading or research setup that wants to add web-based sentiment to its toolkit.