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#live-trading

5 signals tagged with this topic.

The State Preservation Problem: Why Hot Reload in Live Trading Is Harder Than It Looks
Engineering

The State Preservation Problem: Why Hot Reload in Live Trading Is Harder Than It Looks

Most systems can afford a restart. A trading bot executing real capital every 5 minutes cannot. Here's the architecture that makes zero-downtime deployment possible without losing state, missing signals, or risking capital mid-update.

May 4, 20268m read
The Bot Never Sleeps: Zero-Downtime Hot Reload for Live Trading Systems
Engineering

The Bot Never Sleeps: Zero-Downtime Hot Reload for Live Trading Systems

Stopping a live trading bot to deploy code is not a deployment strategy — it's a risk management failure. Here's how I solved it.

April 16, 20268m read
The Signals Were Real: InDecision Framework Hits 93% Win Rate in Live Markets
Crypto★ Featured

The Signals Were Real: InDecision Framework Hits 93% Win Rate in Live Markets

The bot was cycling every 2 minutes — its own watchdog killing it every 129 seconds. The signals inside were perfect: 86–100/100, 92% accuracy, calling direction while the market priced uncertainty at 50/50. One coding session fixed the infrastructure. The rest is on-chain.

February 26, 202610m read
The Trader Behind the Bot
Crypto

The Trader Behind the Bot

PolyEdge scored 65/100 and sat. Knox traded manually and went 3 for 3. The gap between those two outcomes reveals the exact mechanisms the model was missing.

February 25, 20266m read
I Deployed a Live AI Trading Bot and It Called the BTC Crash in Real Time
Crypto★ Featured

I Deployed a Live AI Trading Bot and It Called the BTC Crash in Real Time

We spawned a live Polymarket trading session, built a real-time Mission Control dashboard to watch it trade, and within hours the AI agent caught a 4.7% intraday BTC crash with precision. Here's everything — including the loss that taught us the most important rule.

February 23, 20267m read