Guides, deep dives, and release notes from the people building Apex Automated Trade Systems.
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guideMay 20, 2026·8 min read
From paper to live: how to safely transition your Apex AI setup
Paper trading is how you validate the system — live trading is where it counts. Here's the exact checklist we recommend before flipping ALPACA_MODE to live, and the two config changes that matter most.
Sector rotation explained: how Apex decides when to rebalance
Every week the sector rotation engine ranks 11 GICS sectors and allocates to the top two. This post walks through the scoring model, the SPY regime filter, and why we use a 5-day rolling window instead of a daily signal.
Why we built Apex Automated Trade Systems on your server, not ours
Every other trading tool runs in our cloud and touches your broker via API on our behalf. We chose not to. Here's the reasoning — and what it means for your security, latency, and uptime.
Setting up Telegram notifications for your trading system
Five minutes to configure real-time alerts for entries, exits, stops, and the daily summary. Includes how to create a bot, find your chat ID, and silence overnight alerts without disabling the integration.
How the morning screener ranks 6,000 symbols in under 3 minutes
The screener runs every morning before market open. This post unpacks the three-stage pipeline: universe filter → momentum scoring → sector confirmation, and what RVOL threshold changes actually do to trade quality.
v1.3.0 released: crypto module, options layer, and Elite tier
The biggest release since launch. Elite tier is now live with access to the crypto strategy module (BTC/USD, ETH/USD, 12 others), options strategy layer with IV rank filtering, and all future modules as we ship them.
Tuning your DigitalOcean droplet for 24/7 trading system performance
The $12/mo Basic Droplet works — but a few system-level tweaks make it run significantly better under sustained load. PostgreSQL connection limits, swap configuration, and why you should enable DigitalOcean monitoring.