turns out theres ECB research showing FED word changes move markets more than the actual rate decisions...and ai has made me money from that

ok so let me explain. The study was published for the european central bank. they basically proved that central bank communication moves markets more than the actual data prints. not the rates. not the dot plots. the words. and this isnt some obscure finding. this is literally what citadel and goldman pay their quant nlp teams to exploit. they dont watch powell on cnbc like the rest of us. they run diff analysis on fomc statements comparing this month to last month word by word. they dont care about what powell says. they only care about what he deletes. why? because additions are expected. deletions are hidden. when powell quietly removes "elevated" from describing inflation risks... thats the signal. thats the trade. the problem is these systems cost millions. bloomberg terminals. nlp engineers. real time parsing infrastructure. i built a ghetto version with ai. shared in description the workflow is stupidly simple. last month everyone was freaking out about powell defending fed independence from trump. headlines everywhere about inflation still being 1% above target. market dumping. meanwhile i had chatgpt diff the january statement against december. it caught something the headlines missed. "upside inflation risks" was quietly softened to "lessening risks." one adjective. hidden in paragraph 3. thats fed-speak for "we're not worried anymore." i bought 0dte spy calls while cnbc was still talking about trump wanting 1% rates. 4 minutes later the quant algos finished processing the full text. market reversed. calls printed. the key insight most people miss: retail traders read headlines. institutional traders read deletions. headlines are designed to generate clicks. they cherry pick the scariest phrase. "rates staying high" gets more views than "slight language softening in paragraph 3." but the money is in paragraph 3. the edge isnt access to information anymore. everyone has the same pdfs. the edge is processing speed and knowing what to look for. and now that processing costs $40/month instead of $2 million/year... the asymmetry is flipping. im not saying this works every time. sometimes theres no signal. sometimes the diff is meaningless. but when theres a divergence between headline sentiment and actual language changes... thats when you pay attention. the quants have been doing this for decades. they just didnt expect us to have the same tools. anyway thats how one deleted adjective paid for my chatgpt subscription for the next 10 years.