// prediction markets
Wiring into the prediction markets.
Execution, positions and reconciliation on Kalshi and Polymarket, built by a team that runs its own systems on both venues.
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Kalshi and Polymarket now clear billions in monthly volume between them. Reading the odds is easy. The hard question is whether a system running against these venues keeps track of its own positions.
Anchor 163 runs automated systems on these venues with company capital. That covers market data, order execution against the exchange APIs, and reconciliation of every position to the venue's own fill records. What we would build for you is what we already operate.
Building it yourself first? Our practical guide to the Kalshi API covers signing, rate limits and reconciliation.
What we build
Market data ingestion
Live and on-request price feeds (websocket and REST), stored so you can test strategies against past data. Each record shows only what was known at that moment, with gaps flagged.
Execution and order management
Authenticated order placement, position tracking and cancel/replace logic. The order state survives a connection that drops mid-order.
Fills-true reconciliation
Every position is checked against the exchange's own records of filled trades and settlements, so profit and loss ties to source.
This is where bugs like a flipped buy-or-sell sign or a misread contract name show up. Most builds skip this layer, and the bugs get expensive when nothing is checking.
Monitoring and kill switches
Alerts that wake a person for the right reasons. Exposure limits live in code, and the stop works even when the strategy does not.
Research infrastructure
Backtesting tools that replay past data as it looked at the time, with pass thresholds written down in advance.
A strategy that gets promoted has earned it and was never fit to its own history.
Buy the data, build the operating layer
Several funded products already sell normalized market data from both venues through one endpoint. If clean cross-venue data is what you need, buy one of those. Check how fast the data arrives and how far back it goes, and confirm they cover the specific markets you trade.
The part nobody sells is what happens after the data arrives. Orders have to follow your rules, and positions have to stay correct through a disconnect. Reconciliation has to catch the day your model and the exchange disagree about what you own.
That layer depends on your strategy and your risk tolerance, which is why it is a build.
What we are not
scoped builds$15k–$40k
single automationFrom $5,000
managed from$400/mo
engagementsScoped, confidential
We are a build team. We do not run a fund, sell signals or give financial or investment advice. We make no representation about the performance of any system, ours or yours, and we publish no trading results.
Whether a venue is available to you, and under what regulatory posture, is a question for your counsel and compliance team.
Common questions
We build the infrastructure a trading system runs on: authenticated execution against the exchange API, order and position state that survives disconnects, fills-true reconciliation, monitoring, and exposure limits. We do not supply strategies or make performance claims.
Buy it. Several funded products already sell normalized cross-venue data from Kalshi and Polymarket through a single endpoint. Verify latency, historical depth, and market coverage first. The custom work belongs in the execution and reconciliation layer above the data.
A single scoped job starts at $5,000, and a build across data, execution, reconciliation and monitoring lands between $15,000 and $40,000. Watching it for breaks starts at $400/month, and full managed operation at $800/month, or $1,500–$3,000 when we run the whole stack.
studio@anchor163.com
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