I’m looking for a data-savvy market thinker to keep me up to date on how published news is shaping stock sentiment. Scope • Track major financial news outlets, capture articles in near real time, and run sentiment analysis that distinguishes bullish, bearish, and neutral language. • Summarise daily and weekly sentiment shifts for the overall market and for any ticker I flag. • Highlight unusual spikes in tone or volume that could signal trading opportunities. Deliverables 1. A working workflow (spreadsheet, dashboard, or lightweight script—your choice) that fetches the news and scores sentiment consistently. 2. Clear visual or tabular reports with concise commentary I can act on. 3. Brief onboarding note so I can extend or tweak the process later. I’m open to your preferred tools—Python, R, Excel add-ins, or dedicated NLP platforms—so long as the final output is easy for me to read and update. If you’ve previously mined financial news for signals, let me know; I value proven accuracy and thoughtful interpretation over raw volume.