We turn your Kalshi strategy rules into a monitored execution system with clear risk controls. You get tested connectivity, logging, alerts, and a maintenance path from demo testing through deployment.
We turn a Kalshi strategy into a monitored execution system, covering discovery, connectivity, custom logic, risk controls, testing, deployment and maintenance.
We turn your Kalshi strategy, market choices, data needs and execution rules into a written spec.
A trading concept can stay too vague to build safely when market selection, data inputs and execution rules are not pinned down.
"We document which Kalshi markets the strategy watches, what data it needs and what must block an order before engineering starts."
We connect authentication, REST endpoints and WebSocket market data for your custom Kalshi system.
Your strategy cannot act reliably if account access, market data and order requests are handled as separate, fragile pieces.
"We connect Kalshi WebSocket market data to the same execution service that uses authenticated REST requests for orders."
We code your probability models, market relationships, spread rules, filters and opportunity logic.
Probability models, market relationships, spread rules and filters must become exact logic before they can drive Kalshi execution.
"We encode how related Kalshi markets are compared, which spread passes your filter and when an opportunity is rejected."
We connect outside pricing or signal inputs when your Kalshi strategy needs them.
A Kalshi strategy that depends on outside pricing or signals cannot run from Kalshi market data alone.
"We map an external strategy signal into the Kalshi decision flow, validate the input and block use when the source is invalid."
We add configurable checks that reject or block execution before a Kalshi order is sent.
Custom execution needs hard boundaries when a position, budget or price condition falls outside the limits you set.
"We stop a Kalshi order before submission when its price crosses your threshold or the planned position breaches your limit."
We build status views, audit logs, alerts, error handling and health checks around Kalshi execution.
A custom bot is hard to trust or diagnose when you cannot see what it did, why it stopped or whether its connections are healthy.
"We show Kalshi connection health, record order decisions in an audit log and alert you when an execution error needs review."
We test strategy rules with historical data or simulation before live use when suitable data exists.
Moving straight from an idea to live execution leaves rule errors and edge cases undiscovered until real orders are at stake.
"We run the Kalshi decision rules against suitable historical data or a simulation before live execution is approved."
We move a validated Kalshi system from demo testing into controlled live use and maintenance.
A custom execution system needs a deliberate move from testing to live use plus a plan for faults and later maintenance.
"We validate in the demo environment, move into live use under controlled deployment and maintain the Kalshi service after launch."
These use cases cover unclear strategy rules, Kalshi execution risk and system visibility — the points this service turns into working software.
Current problem
You have a Kalshi trading concept, but market choices, data inputs and execution rules are still spread across notes and manual decisions.
Trading system
The custom execution system runs from the agreed strategy spec, using your market selection, data requirements and order rules as its control logic.
Human involvement
You approve the written strategy and execution rules before any prototype or live-order work starts.
Systems
Possible outcome
A clearer path from strategy idea to testable Kalshi execution.
Real engagements. Relevant to what you need.
Trading Bot Development
Initial problem
Quotes remained live through violent price moves and accumulated unwanted inventory, with no automated limit on directional build.
Traadence's solution
Built a market making bot with hard inventory bands and automatic quote withdrawal on volatility spikes.
Result
Continuous quoting across 18 pairs with inventory inside target bands 97% of the time.
"Leaving quotes up through a violent move is how you end up holding inventory you never wanted. Traadence built automatic withdrawal and hard inventory bands, and we stay inside target ninety-seven percent of the time."
Trading Bot Development
Initial problem
Contract rollover was handled manually and was missed twice at material cost, and bots traded outside intended session hours.
Traadence's solution
Built a Rithmic-connected execution bot with automated contract rollover and session-aware trading windows.
Result
Rollover automated across 14 symbols with session gating enforced at the order layer.
"We missed two rollovers in a year and both were expensive. Traadence automated it along with session gating, so the bot simply cannot trade the wrong contract or the wrong hours any more."
Trading Bot Development
Initial problem
Single-venue dependency stalled trading during exchange outages, and REST polling introduced unacceptable fill latency.
Traadence's solution
Built an execution router on websocket feeds with automatic failover across five connected venues.
Result
Fill latency cut to 120ms with 99.8% uptime held through two exchange outages.
"When one exchange goes down mid-position you need somewhere else to go immediately. Traadence built failover routing on websocket feeds, and we traded straight through two outages that would previously have frozen us."
Kalshi traders hire us to turn custom strategy rules into monitored execution with clear risk controls and audit logs.
Companies Traadence has worked with
Solace Digital Assets
Trading Bot Development
NL
Cobalt Futures Desk
Trading Bot Development
CA
Halcyon Crypto Desk
Trading Bot Development
AE
Redstone Prop Capital
Trading Bot Development
US
Merrow FX Trading
Trading Bot Development
GB
Ironwood Trade Group
Trading Bot Development
PL
"Leaving quotes up through a violent move is how you end up holding inventory you never wanted. Traadence built automatic withdrawal and hard inventory bands, and we stay inside target ninety-seven percent of the time."
S. Vries
Chief Technology Officer · Solace Digital Assets
"We missed two rollovers in a year and both were expensive. Traadence automated it along with session gating, so the bot simply cannot trade the wrong contract or the wrong hours any more."
N. Boisvert
Founder · Cobalt Futures Desk
"When one exchange goes down mid-position you need somewhere else to go immediately. Traadence built failover routing on websocket feeds, and we traded straight through two outages that would previously have frozen us."
O. Haddad
Head of Trading · Halcyon Crypto Desk
"The bot refuses orders that would breach the account rules rather than warning after the fact. Since Traadence built it we have had zero violations across forty funded accounts, which is the whole business."
W. Coburn
Managing Partner · Redstone Prop Capital
Our Kalshi Bot Service moves from strategy mapping through demo-environment validation to controlled deployment and maintenance.
We map your Kalshi strategy, target markets, data inputs, execution rules and manual checks before an order.
Share strategy rules, target Kalshi markets, sample inputs and the checks you use before allowing live execution.
We test Kalshi authentication, REST endpoints, WebSocket data and external feeds against the rules your strategy needs.
Share Kalshi account requirements and, if used, external-source access; review the risk and feasibility findings.
We document model logic, spread and filter rules, risk limits, execution blocking, logging and alert paths before build.
Approve the strategy spec, position and budget limits, price thresholds and conditions that block execution.
We build a working slice with Kalshi data and the customer's real input format, then test it in the demo environment.
Provide representative strategy inputs and review demo-environment behavior before the full build.
We complete the Kalshi build, add error handling, audit logs and alerts, then simulate where suitable data exists.
Run validation in the demo environment, review logs and alerts, and approve the tested execution rules.
We deploy in a controlled sequence, turn on health monitoring and maintain the Kalshi connection and execution service.
Approve live access, risk limits and compliance with Kalshi terms, account requirements and applicable laws.
A 30-minute discovery call is enough to map your strategy, markets, and broker stack — and tell you whether a custom trading system makes sense.
We develop Kalshi technology with review, monitoring and clear scope; we do not promise profitability or investment outcomes.
We review Kalshi execution rules and risk limits with you before live orders are enabled, so changes never reach live trading without your approval.
How Traadence proves it
Live-order enablement requires your sign-off.
We take no referral fees from pricing or signal vendors, and we map your existing Kalshi stack before recommending what fits your strategy.
How Traadence proves it
Design doc lists signal-source options and tradeoffs before build.
We watch Kalshi authentication, WebSocket data and order errors, so connection or execution failures get flagged before you have to spot them.
How Traadence proves it
Health dashboard and maintenance plan included.
We map Kalshi connectivity, custom strategy rules, risk controls and controlled deployment into the build plan before code starts.
How Traadence proves it
Kalshi build plan maps deployment phases before code is written.
A few words from the desks Traadence has partnered with — what it's been like to work with Traadence, and the impact on their trading operations.
"Leaving quotes up through a violent move is how you end up holding inventory you never wanted. Traadence built automatic withdrawal and hard inventory bands, and we stay inside target ninety-seven percent of the time."
Continuous quoting across 18 pairs with inventory inside target bands 97% of the time.
S. Vries
Chief Technology Officer · Solace Digital Assets
"We missed two rollovers in a year and both were expensive. Traadence automated it along with session gating, so the bot simply cannot trade the wrong contract or the wrong hours any more."
Rollover automated across 14 symbols with session gating enforced at the order layer.
N. Boisvert
Founder · Cobalt Futures Desk
"When one exchange goes down mid-position you need somewhere else to go immediately. Traadence built failover routing on websocket feeds, and we traded straight through two outages that would previously have frozen us."
Fill latency cut to 120ms with 99.8% uptime held through two exchange outages.
O. Haddad
Head of Trading · Halcyon Crypto Desk
A Kalshi Bot Service fits groups that turn defined market rules, external data, and risk limits into monitored order execution on Kalshi.
Independent traders can turn their own event-market rules into monitored Kalshi execution with price filters, risk limits, alerts, and audit logs.
A trader tests a rules-based Kalshi strategy in simulation, then deploys it with budget and price limits.
Prop desks need repeatable execution across defined event-market strategies; custom rules can block orders, cap exposure, and log each decision.
A prop desk runs a Kalshi strategy with position caps, price thresholds, alerts, and execution logs.
Quant teams combine market data, probability models, relationships, and external signals; the bot applies those rules to Kalshi orders and records each action.
A quant desk compares an external probability feed with Kalshi prices before allowing an order.
Signal firms can connect proprietary pricing or event signals to Kalshi, then apply filters, spread rules, risk blocks, and monitored execution.
A signal service routes an event signal into Kalshi only when its spread and risk rules pass.
Named Experts
You'll work with named engineers and a dedicated delivery manager, not an anonymous team bench.
Lead
Trading Bot & Software Development Lead
Alex Hodge is the Trading Bot & Software Development Lead at Traadence, building and maintaining execution systems that run unattended — from strategy logic to broker API to order fill.
Supporting
Trading Strategist & Signals Lead
Jim Dudas is the Trading Strategist & Signals Lead at Traadence, backtesting strategies before they go live, running the signals desk, and writing about what separates a real edge from an overfit curve.
Common questions about hiring Traadence for a Kalshi Bot Service engagement, from strategy discovery and testing through deployment and maintenance.
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Book a 30-minute discovery call. We'll map your markets, broker setup, and execution needs — and tell you exactly what we'd build.