PolymTradeBot vs Predict & Profit
PolymTradeBot and Predict & Profit are both filed under Arbitrage. Both are automated bots, and both are paid. Below: the facts side by side, where the two actually differ, and when each one is the better pick.
PolymTradeBot
Editor's ChoiceAutomated Python bot for Polymarket's 5- and 15-minute Bitcoin & Ethereum up/down markets.
Compared with Predict & Profit
Self-hosted Python suite for Kalshi weather and inflation markets — two bots, a monitoring dashboard and one shared risk engine, installed and managed as a single system.
Compared with PolymTradeBotAt a glance
| Fact | PolymTradeBot | Predict & Profit |
|---|---|---|
| Type | Automated bot | Automated bot |
| Category | Crypto Markets | Weather Markets |
| Also listed in | Arbitrage, Momentum | Arbitrage |
| Pricing | Paid | Paid |
| Price | one-time | one-time |
| Risk rating | Low risk | Medium risk |
| Markets | BTC up/down · 5m, BTC up/down · 15m, ETH up/down · 5m and 1 more | Kalshi weather · 20 US cities and CPI / Core CPI / PCE |
| Source | Source included with purchase | Source included with purchase |
| Runs in Telegram | No | No |
| Listed since | Jul 3, 2026 | Jul 16, 2026 |
Highlighted rows differ
Key differences
- They cover different markets: PolymTradeBot lists BTC up/down · 5m and BTC up/down · 15m and 2 more, Predict & Profit lists Kalshi weather · 20 US cities and CPI / Core CPI / PCE.
- PolymTradeBot is rated low risk, Predict & Profit medium risk.
- Only PolymTradeBot is filed under Crypto Markets and Momentum, and only Predict & Profit is filed under Weather Markets.
- PolymTradeBot carries the editor's choice mark in the catalog.
Choose PolymTradeBot if…
- you trade BTC up/down · 5m and BTC up/down · 15m and 2 more
- you prefer the lower-risk profile (low vs medium)
- your focus is Crypto Markets and Momentum
Choose Predict & Profit if…
- you trade Kalshi weather · 20 US cities and CPI / Core CPI / PCE
- your focus is Weather Markets
What PolymTradeBot does
Automated Python bot for Polymarket's 5- and 15-minute Bitcoin & Ethereum up/down markets. Trades live or in paper mode with configurable risk controls, self-hosted from full source.
Features- Full Python source code
- Live + paper-trading modes
- Configurable risk controls
- Telegram support & community
- Runs on Linux, macOS & Windows
- Targets Polymarket's short-term 5- and 15-minute BTC and ETH “up or down” crypto markets.
- Executes trades automatically based on short-term momentum signals.
- Validate any configuration risk-free first with the built-in paper-trading mode.
What Predict & Profit does
Self-hosted Python suite for Kalshi weather and inflation markets — two bots, a monitoring dashboard and one shared risk engine, installed and managed as a single system. Version 3.0 prices temperature contracts from NOAA's National Blend of Models, the calibrated station-level guidance published for exactly the stations Kalshi settles on, at 0.75 weight; GFS, AIGEFS, ECMWF IFS, AIFS and HRRR hold the remaining 0.25 as a disagreement check rather than as the model. Settlement stations come from Kalshi's own series metadata across 20 cities — Chicago settles on Midway, Houston on Hobby — and any market NBM does not cover is skipped, which rules out every same-day contract, because NBM coverage starts at forecast hour 24. The inflation half scores CPI, Core CPI and PCE against the Cleveland Fed's nowcast and an internal weighted one. Candidates then pass a four-signal gate — spread 30%, volume 20%, order-book imbalance 25%, model mispricing 25% — and the author says over 95% of scanned contracts are rejected. There is no public performance record: the trade log the earlier version published was retired with 3.0, and the site now publishes release and validation status instead of a P&L scoreboard.
Features- NOAA National Blend of Models at 0.75 weight — mean, sigma and percentiles for the settlement station, interpolated with normal tails beyond P10/P90 and sigma × 1.15 for fat tails
- GFS, AIGEFS, ECMWF IFS, AIFS and HRRR at 0.25 combined, kept as a disagreement check; AIGEFS and HRRR are pulled as byte ranges out of GRIB2 files on S3
- 20 Kalshi cities, with the settlement station read from Kalshi's series metadata instead of guessed from the city name
- Inflation bot on CPI, Core CPI and PCE against the Cleveland Fed's nowcast and an internal weighted one, with FRED and BLS inputs when their free keys are configured
- One account-risk engine across both bots: cost cap per trade, per-city and per-series exposure limits, and a daily-loss kill switch
- Prices every temperature contract from NOAA's published percentiles for the station that contract settles on.
- Declines any market NBM cannot price, including every same-day contract.
- Scores spread, volume, order-book imbalance and model mispricing into one composite before an order goes out.
More head-to-heads
Every fact on this page is taken from the two listings as their authors publish them; POLBOTS verifies neither performance nor claims and has no stake in either tool. Nothing here is financial advice.