Banger vs Freqtrade
Freqtrade is A popular open-source Python crypto trading bot framework that you self-host and operate yourself. Banger is a strategy-automation runtime for prediction markets. Here is how they compare, and when each one is the right call.
| Banger | Freqtrade | |
|---|---|---|
| Primary assets | Prediction markets (Polymarket, Kalshi); equities and crypto as expansion adapters | Crypto (centralized exchanges) |
| Prediction markets | Native. The wedge, not an afterthought. | None. Freqtrade targets crypto exchanges only. |
| Strategy authoring | Real Python (banger.Strategy) or clone a marketplace strategy and configure it | Python, fully DIY and self-hosted |
| Custody | Never. You bring your own venue keys. | You hold your own exchange keys (non-custodial), but you also run all the infrastructure. |
Where Banger is different
- Banger removes the maintenance tax. Freqtrade is powerful but you self-host, patch, and babysit it; Banger runs your strategy as a managed runtime.
- Banger is prediction-markets-native (Polymarket, Kalshi). Freqtrade is crypto-exchange-only.
- Same non-custodial principle (your keys), but Banger adds paper-first testing against the live book, a strategy marketplace, and a deterministic risk envelope out of the box.
- Banger keeps the code-first feel (real Python) while also offering a clone-and-configure path for less technical users.
When Freqtrade is the better choice
Technical crypto traders who want a free, fully open framework and are happy to self-host, monitor, and maintain it.
The verdict
Freqtrade is a great free crypto framework if you enjoy running your own infrastructure. Banger is for traders who want that code-first control on prediction markets without the OSS maintenance burden.
FAQ
- Does Freqtrade support Polymarket or Kalshi?
- No. Freqtrade is a crypto-exchange trading bot framework and does not support prediction markets. Banger is purpose-built for Polymarket and Kalshi.
- What does Banger offer over Freqtrade?
- A managed runtime (no self-hosting), native prediction-market venues, paper trading against the live book, a declarative risk envelope, and a clone-a-strategy marketplace, while keeping real-Python authoring and your own venue keys.
Run your first strategy on prediction markets
Paper-trade against the live Polymarket and Kalshi book in minutes. Free, with your own keys.
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