NLP / LLM Scoring
Modern models score news and social text.
A sentiment analysis trading tool turns news headlines, social posts, and on-chain chatter into structured signals - scoring bullish or bearish sentiment for the assets you trade. We build sentiment pipelines using NLP and LLMs that ingest news and social feeds, score sentiment, and deliver signals or alerts, with honest validation against price.
Agreed scope · Reviewable milestones · Documented handover

News & Social
NLP / LLM Scoring
Per-Asset Signals
Backtested
A sentiment analysis trading tool turns news headlines, social posts, and on-chain chatter into structured signals - scoring bullish or bearish sentiment for the assets you trade. We build sentiment pipelines using NLP and LLMs that ingest news and social feeds, score sentiment, and deliver signals or alerts, with honest validation against price.
Modern models score news and social text.
News APIs, X/Twitter, Reddit, and on-chain chatter.
Bullish/bearish scores for your instruments.
Deliver scores as signals or alerts.
Filters spam, sarcasm, and bot chatter.
Validated against price before you rely on it.
Our sentiment analysis trading tool development service turns news and social chatter into structured, scored trading signals using NLP and LLMs - validated honestly against price.
Most sentiment is noise or already priced in. We filter spam and sarcasm, score honestly, and backtest signals against price so you know where the edge actually is.
We ingest news, social, and on-chain sources, score per asset, and deliver signals or alerts into your workflow or bot.
Full source ownership, documentation, and support - honest about what sentiment can and cannot do.
We agree the requirements and review working milestones together. The process below is adapted to the systems, testing and operating needs of your project.
We confirm the sources, assets, and how sentiment should map to signals.
We design honest scoring and guard against noise, sarcasm, and spam.
We build the pipeline and backtest sentiment signals against price history.
Deployment with alerts or signal delivery, then handover.
Share the workflow you want to improve, the platforms you use and any existing code or examples. We’ll work through the requirements, dependencies and acceptance checks with you before proposing a build.
Each custom project is quoted individually. Hosting, external services and ongoing maintenance are made clear in the agreed scope.
Talk through your requirementsAnswers to the questions that help define your project.
We review your requirements, integrations and delivery scope before preparing a project-specific quote. The proposal sets out the work, milestones and any ongoing costs. Changes are discussed and agreed before additional work begins.
We review your requirements, integrations and delivery scope before preparing a project-specific quote. The proposal sets out the work, milestones and any ongoing costs. Changes are discussed and agreed before additional work begins.
News APIs, X/Twitter, Reddit, Telegram, and on-chain chatter, scored with NLP/LLM models.
Yes - sentiment scores can be delivered as signals or webhooks into your bot, with risk checks.
Always, before any details are shared.
Specialist trading engineers, not generalists.
Tested and validated before you rely on it.
Full source-code ownership, docs, and 30-day support.
Transparent fixed pricing and a 5.0-star Upwork record.
We confirm sources and signal mapping, design honest noise-filtered scoring, build the pipeline and backtest against price, then deploy with signal or alert delivery.
Tell us what you need from sentiment analysis trading tool development. We’ll work through the scope and next steps together.