Automated Kalshi weather trading bot dashboard

Stop Guessing. Trade the Weather with Hard Data.

Two automated trading bots for Kalshi. The weather bot reads 164 independent ensemble forecasts before touching a contract. The inflation bot runs 5 signal sources on CPI and PCE markets. Full Python source code included.

POWERED BY INSTITUTIONAL GRADE TECHNOLOGY

THE ENGINE

Mathematical Edge.

When 164 independent forecast simulations disagree, the bot stays out. When they converge, the bot executes. No emotion, just probability. Two bots. One for weather, one for inflation. Both powered by the same principle.

  • 24/7 Automated Execution
  • 164-Member Grand Ensemble (GFS + AIGEFS + ECMWF + AIFS)
  • Weather Bot + Inflation Bot Included
  • Full Python Source Code
  • Optional Visual Dashboard
Python trading bot code for Kalshi prediction markets
Weather ensemble probability analysis for prediction market trading

TRANSPARENCY

Why Sell The Code?

It is the most common question. The answer is simple: prediction market liquidity. Kalshi operates on binary contracts. Other traders executing the same Global Forecast System data models alongside you do not dilute your mathematical edge. We trade the weather, not each other.

This bot trades weather, not stocks. There is no insider information, no alpha decay from sharing. The edge comes from mathematical modeling that most traders cannot build themselves. More users running the same model on Kalshi binary contracts does not move the underlying weather.

THE METHODOLOGY

164 Independent Forecasts.
One Decision.

The weather bot runs every trade through a 164-member grand ensemble combining four independent forecast systems: NOAA GFS (31 members), NOAA AIGEFS (31 members), ECMWF IFS (51 members), and AIFS-ENS. Only when at least 3 of the 4 systems agree does the bot act.

The inflation bot runs five independent signal sources: Cleveland Fed Nowcast, FRED energy signals, BLS CPI subcomponents, BEA PCE data, and a homemade weighted nowcast. When the models disagree with each other by more than 0.15 percentage points, that disagreement is the trade signal.

Learn How It Works →

THE UPGRADE

v1.0 Lost. Here Is Exactly Why. Here Is Exactly What Changed.

Most of the early losses came from one bad default setting. The original bot had a minimum price of $0.05. That means it was buying penny contracts that needed to hit at near-lottery odds to win. Cheap contracts look appealing because the upside is big. But the win rate is brutal. v2.0 ships with completely different defaults.

v1.0 — Retired

  • Min price: $0.05 (penny longshots)
  • Single forecast system (GFS only, 31 members)
  • No agreement filter between models
  • No early exit (held positions to expiry)
  • Win rate: low

v2.0 — Current

  • Min price: $0.40 (high-probability contracts only)
  • 4 independent forecast systems (164 members total)
  • Requires 3 of 4 ensembles to agree before trading
  • Early exit locks in 70% of max gain automatically
  • Building track record now — settlements public as they arrive

v2.0 live since April 2026. Settlement history updates after each contract expires. We show everything.

system status — 2026-04-18

[2026-04-18] V2_STRATEGY min_price=0.40 ensembles=4 members=164

[2026-04-18] AGREEMENT_FILTER required=3_of_4 status=ACTIVE

[2026-04-18] EARLY_EXIT threshold=0.70 status=ACTIVE

[2026-04-18] NEXT_SETTLEMENT date=2026-05-13 market=CPI_YOY

[2026-04-18] TRACK_RECORD status=BUILDING_IN_PUBLIC

Next public settlement: May 13, 2026 — April CPI YoY. Bookmark this page.

THE OFFER

Choose Your Edge.

Use code BOOKREADER at checkout for 15% off.

Most Popular
Predict & Profit full Python source code v2.0 for Kalshi weather and inflation trading

Full Python Bot v2.0

$97

  • Weather Bot: 164-member grand ensemble (4 forecast systems)
  • Inflation Bot: 5-source signal stack (CPI + PCE markets)
  • Optional visual dashboard included
  • SQLite database, zero config required
  • Strike consistency enforcement
  • Regime change detection
  • Early exit profit-taking feature
  • Full Python source code, yours to modify
  • All data sources free, no paid APIs
  • Setup in 15-30 minutes
  • Ebook included
Get the Source Code
Predict & Profit ebook cover — algorithmic weather trading for Kalshi

Educational Ebook

$9.99

  • Market theory
  • GFS introduction
  • Manual trading strategies
Get the Ebook

GET IN TOUCH

Contact Us.

Questions about the bot, the data, or licensing? Send us a message and we will respond within one business day.

Response within 24 hours.