How to Add a Sentiment Confirmation Layer to OpenAlgo with Python
Most trading signals answer one question: "Is there a setup?" That is useful, but often incomplete. A breakout can be technically valid and still fail because there is no real attention behind it. ...
Source: DEV Community
Most trading signals answer one question: "Is there a setup?" That is useful, but often incomplete. A breakout can be technically valid and still fail because there is no real attention behind it. A screener can return ten names that all look similar on price, while only one of them is actually dominating discussion, news flow, or prediction-market activity. That is the gap I wanted to close with an OpenAlgo integration for the Adanos Finance Sentiment API. Adanos tracks stock-level attention and directional bias across: Reddit X.com financial news Polymarket Instead of replacing OpenAlgo, the idea is to use Adanos as a confirmation layer before execution. Why this is useful for traders OpenAlgo already gives you the execution and automation building blocks: TradingView webhooks ChartInk-driven workflows Python strategies broker routing and order execution Adanos adds a second decision layer: "Does this setup also have attention, bullish conviction, and multi-source support right now?"
