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PRIVATE BETA

Automated stand-down protection
for high-volume traders

TakerShield detects adverse-selection risk in real time and automatically yanks your quotes before you get filled on toxic flow.

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The Problem

You don't lose money because you're wrong

If you trade size on Kalshi, your losses come from execution risk—not bad predictions:

These losses are invisible, random, and brutal at scale. Kalshi doesn't protect you from them.

The Solution

A risk seatbelt—not alpha

TakerShield watches live markets and automatically yanks your quotes when adverse-selection risk appears.

Real-time detection of conditions where fills are statistically toxic:

Spread blowouts
Sudden volatility spikes
Near-settlement danger windows
Book instability
Toxic fill conditions
Risk detected
→
NO_QUOTE
→
Risk clears
→
You decide re-entry
Architecture

What makes this different

Downstream protection

We don't compete with arena clicks or fastest humans. We protect you after information hits the book.

~200ms cancel latency

End-to-end detect → cancel → exchange ack. Fast enough to matter, tested in production.

Market-aware, not rule-blind

Uses real-time book structure, volatility, and timing—not static thresholds or dumb rules.

Observer-first architecture

Start read-only. See risk signals before trusting automation with your orders.

No strategy leakage

We never see your logic. You never see ours. Clean separation of concerns.

Open source observer

Inspect the code yourself. No black boxes. Verify before you trust.

Live Results

Early production testing

90%+
Adverse-move detection
0
Same-second fills
~200ms
Cancel RTT
Live
Real orders tested

This is not backtest vapor. It's live risk control on real Kalshi markets.

Audience

Who this is for

Built for

  • High-volume Kalshi market makers
  • Professional takers running size
  • Traders where defense matters more than alpha

Not for

  • Casual bettors
  • Alpha-hunters looking for signals
  • Small position sizes

If you don't already feel these losses, this isn't for you.

Access

How it works

Free

Observer

  • Live risk signals
  • NO_QUOTE events
  • Estimated saved losses
  • Read-only—no trading access
  • Open source on GitHub
Request Observer Token
Private

Executor

  • Automated cancels
  • Quote control
  • Full protection suite
  • Whitelist only
  • Limited access
Contact for Access
Founder

Who's building this

Sheffield Nolan

Sheffield Nolan

AI Market Infrastructure Builder

I build real-time AI systems for financial markets—focused on event detection, latency-sensitive pipelines, and execution risk control. 5 years at Franklin Templeton working on AI and crypto market infrastructure. Previously founded and exited an AI platform that automated complex, high-stakes deliverables.

ex-Franklin Templeton Founder (Acquired) SF Bay Area
@SheffieldNolan LinkedIn hello@takershield.com

Looking for experienced high-volume traders

Private testing for 7 days. No sales pitch. No long-term commitment. Just blunt feedback.

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