About Us | Meteomatics
About Us | Meteomatics
May 31, 2022
meteomatics.com
Weather API | Meteomatics
Weather API | Meteomatics
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Weather Forecast Project In Python With Source Code
3:08
Weather Forecast Project In Python With Source Code
May 11, 2021
itsourcecode.com
This weather bot turned $300 → $122K on Polymarket weather markets in 3 monthsI fully decoded algo and built a self-learning Hermes weather trading agentusing weather APIs + Opus 4.7, the bot runs 5-min scans & searches mispricings on Polymarketrun your agent in 5 steps:• set up a VPS server on Hetzner - $6• create a weather API on {visualcrossing} - free• set up Hermes agent using one-liner code - free• connect Telegram bot + Opus 4.7 • send {weather trading logic} from article to agent started
0:09
This weather bot turned $300 → $122K on Polymarket weather markets in 3 monthsI fully decoded algo and built a self-learning Hermes weather trading agentusing weather APIs + Opus 4.7, the bot runs 5-min scans & searches mispricings on Polymarketrun your agent in 5 steps:• set up a VPS server on Hetzner - $6• create a weather API on {visualcrossing} - free• set up Hermes agent using one-liner code - free• connect Telegram bot + Opus 4.7 • send {weather trading logic} from article to agent started
1.6M views1 month ago
x.comMovez
I built a 30-line Python weather bot for PolymarketMost guess April 26 temps - I don’t> NASA GISTEMP data since 1880> Filter April column> Post-1970 linear regression (y = m·x + b)> μ prediction residuals → σ> Normal CDF> exact probability for every bucket (1.15-1.19, 1.20-1.24 etc.)Then ENSO correction on top so La Nina doesn’t destroy the forecastMarket prices one bucket at 48%Model says 56%. Instant +EV.This is the baseline. Real edge starts here.Bookmark this thread and save it
0:10
I built a 30-line Python weather bot for PolymarketMost guess April 26 temps - I don’t> NASA GISTEMP data since 1880> Filter April column> Post-1970 linear regression (y = m·x + b)> μ prediction residuals → σ> Normal CDF> exact probability for every bucket (1.15-1.19, 1.20-1.24 etc.)Then ENSO correction on top so La Nina doesn’t destroy the forecastMarket prices one bucket at 48%Model says 56%. Instant +EV.This is the baseline. Real edge starts here.Bookmark this thread and save it
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x.comwast3
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