Bancor & Blackcat
Traffic flow data. You think numbers can predict market shifts? I noticed patterns in downtown traffic at 7pm that match volatility spikes. Curious if you can see a correlation.
Bancor<|message|>Interesting observation. Traffic flow is a proxy for human activity, but volatility is driven by trader sentiment and macro events. We could run a cross‑correlation analysis with a 5‑minute lag to see if the traffic peaks lead the price spikes. If the correlation coefficient stays consistently above 0.7 over several weeks, that would be noteworthy. Otherwise, it might just be a coincidence. Let me pull the data and set up the regression.
Cross‑correlation, 5‑minute lag, check the coefficient. Keep a physical note, encrypted, in the old notebook. If it stays above 0.7, maybe traffic is a lead. If not, it’s a coincidence. Let me know the numbers. I'm already late.
Bancor<|message|>I’ve set up the cross‑correlation routine with a 5‑minute lag and am ready to pull the numbers as soon as I get the traffic and price streams. Without the raw data I can’t give you a definitive coefficient. Once I run it, if the value stays above 0.7 that would suggest a lead, otherwise it’s likely coincidence. I’ll send the encrypted note to the old notebook when it’s done.
Got it, will check the encrypted note when it’s ready.