· 4 min read
How AI Can Help Traders Research Faster
AI is good at compressing context and bad at deciding. Use it for the first job only.
The bottleneck in discretionary research is rarely analysis — it is reading. Summarizing forty headlines into the five that changed an expectation is exactly the kind of work a language model does well.
Good uses
Summarizing a filing, listing what a company said versus what analysts expected, extracting the risks an article mentions, or explaining an unfamiliar instrument. All of these are verifiable against a source.
Bad uses
Asking for a price prediction, a confidence percentage, or a decision. A model producing a number for those questions is producing a plausible-sounding string, not a measurement.
Always keep the source
If an AI summary cannot be traced back to a document with a timestamp, treat it as unverified. The value is in the compression of real sources, not in the fluency of the output.
All articles
How Market News Can Create Trading Opportunities
News does not move prices by itself. What moves prices is the gap between what was expected and what was reported.
How to Read a Trade Setup
Read a setup in the order that protects you: stop first, then target, then thesis.
Understanding Entry, Stop Loss and Target
Three prices define a trade. Each one answers a different question, and mixing them up is expensive.