BANGER

Kalshi automation

Build a Kalshi trading bot

Kalshi publishes market data and trading APIs suitable for automation. Banger lets you write or clone a Python strategy and run it continuously in paper mode against current market data. Live execution remains disabled during the public beta.

How it works

  1. 1
    Write or clone a strategy

    Implement the banger.Strategy interface in Python, or clone a public Kalshi strategy and configure it. Filter the universe by category (NFL, weather, economics) and time to resolution.

  2. 2
    Paper-trade against live markets

    Run against real Kalshi market data with simulated fills, and watch orders, fills, logs, and P&L on the dashboard before risking capital.

  3. 3
    Inspect and stop

    Use the dashboard to review simulated fills, logs, P&L, and risk behavior, then stop or revise the deployment when the evidence does not support it.

A Kalshi strategy in ~25 lines

from decimal import Decimal
from banger import Strategy, signals
from banger.risk import RiskEnvelope
from banger.venues.kalshi import Kalshi


class UnderdogCatch(Strategy):
    name = "underdog_catch"
    venues = [Kalshi()]
    universe = signals.kalshi_markets(
        category="NFL", time_to_resolution_lt="6h"
    )
    risk = RiskEnvelope(
        max_position_usd=Decimal("75"), max_daily_loss_usd=Decimal("300")
    )

    async def on_market_tick(self, market, tick, ctx):
        if tick.yes_price and ctx.can_open_position():
            await ctx.place(self.venues[0], market, side="yes",
                            size=Decimal("50"))

Install with pip install bangertrades, then banger run strategy.py --paper.

Legality and custody

Banger provides paper-trading software, not legal or investment advice. Kalshi eligibility and market availability vary and can change; check Kalshi's current official terms for your jurisdiction. Banger does not custody funds.

FAQ

How do I build a Kalshi trading bot?
Install Banger with `pip install bangertrades`, write a banger.Strategy (or clone a template), then run `banger run strategy.py --paper` against current Kalshi market data. The public beta does not place live orders.
Does Kalshi allow trading bots?
Kalshi publishes an API for programmatic use, subject to its current agreement and account permissions. Banger currently uses public market data for paper mode and does not route live customer orders.
Is Kalshi legal in the US?
Kalshi is a CFTC-regulated US exchange, but user and market eligibility can vary by location and product. Check Kalshi's current official availability and seek legal advice for your situation.

Paper-trade your first Kalshi strategy free

Test against live market data in minutes, without venue keys and with hard risk limits.

Start free