Same idea as Polymarket copy trading, regulated venue. Watch a set of Kalshi traders' public activity (via Kalshi's leaderboards + your own analytics), replicate their fills in your account with your own risk caps. Technically: Kalshi Trade API for execution, custom analytics layer for trader selection, web-scrape + LLM analysis for traders without public APIs.
Kalshi doesn't publish raw on-chain data (it's a regulated exchange, not a blockchain). The signal layer is different.
Public Kalshi leaderboards + our own ranking layer (using public trade tape). You pick traders by handle or by automated criteria.
When a tracked trader fills, the bot fires a matching order in your account with your sizing. Skip if your risk filters reject.
All execution through Kalshi's Trade API. No proxy infrastructure needed - Kalshi handles compliance natively.
Same shape as the Polymarket version. One difference: no proxy-wallet layer - Kalshi handles it.
# Kalshi copy trading config - example basket: "kalshi-pres-mirror" venue: "kalshi" sources: - handle: "pres-analyst-alice" series_filter: ["PRES", "GOV"] weight: 1.0 - handle: "macro-trader-bob" series_filter: ["FED", "CPI"] weight: 0.7 risk: max_position_usdc: 1_500 max_concurrent: 6 daily_drawdown_stop_usdc: 300 filters: skip_below_source_size_usdc: 250 skip_if_resolution_within_hours: 2 execution: venue_api: "kalshi-trade-v3" slippage_bps: 100
On-chain wallets self-publish via blockchain. Kalshi traders are identified via Kalshi's own leaderboards (limited) or via public posting (variable). Less data, more signal-extraction work upfront.
Kalshi positions are reported to the IRS as event contracts. Polymarket positions in US are... ambiguous. We don't give tax advice, but we'll connect you with someone who does.
Unlike Polymarket's permissionless CLOB, Kalshi's API can reject orders for compliance (KYC issues, position limits, etc.). We surface rejection reasons in your dashboard.
Same warning as everywhere: PnL ≠ predictive. A 'Kalshi star' with one good quarter can lose it in the next.
What kinds of profiles work for copy.
Long-running expertise in specific electoral series. Often slower-pace, fewer trades, higher conviction.
Faster pace, smaller per-trade size. Good for higher-frequency copy baskets.
Pure technical traders. Most-replicable strategies - they often publish methodology.
Copy one Kalshi trader with risk caps.
Up to 8 weighted traders with per-source filters.
Send us the Kalshi handles you'd want to mirror. We'll come back with a feasibility check and a quote.