The Real Cost: DIY Algo Trading Infrastructure
Most traders running their own EAs don't know what they're spending on infrastructure. They know the price of their indicator or the cost of their laptop. What they don't see: the $32,000+ annual bill for servers, failover systems, monitoring, and compliance that keeps a bot running 24/7 without blowing up at 2 AM.
Here's the thing: if your EA runs on your desktop and crashes, you lose money that day. If a professional team's EA crashes, they've already spent the infrastructure budget to make sure it doesn't. That difference is $32,000.
Let's break down what you're actually paying for when you build infrastructure yourself.
The Hosting Cost You Thought Was Cheap
AWS or DigitalOcean looks affordable at first glance. A $100/month server sounds reasonable. Until you run a bot that connects to your broker 1,000 times per day and makes API calls to monitor 50 instruments simultaneously.
Here's what actually happens:
- Base compute cost: $100–$200/month on AWS EC2 or similar providers for a server that handles your EA.
- Database for trade logging: $150–$300/month. You can't analyze what your bot did without storing every trade, candle, and signal.
- Bandwidth overage charges: $500–$1,200/month. Your EA pulls real-time quotes and pushes execution data. That's expensive on most cloud providers.
- Data storage for backtesting: $200–$500/month. Tick data from your broker, market depth, historical candles—it adds up fast.
- VPS from your broker (often required): $150–$300/month, sometimes mandatory if you're trading equities or cryptos through certain firms.
Total: $1,100–$2,500 per month just for the hardware to run your bot. That's $13,200–$30,000 a year—and you haven't added redundancy or monitoring yet.
The Failover Problem That Costs You Every Trade
A bot running on one server works until it doesn't. When it stops—3 AM on a Monday during the Asia session—you're down. No alerts. No automatic restart. No backup system.
So you add failover. That costs double:
- Primary server cluster: $1,500/month
- Backup server in a different region: $1,500/month for redundancy across providers or data centers
- Load balancing between them: $100–$300/month
- Automated failover monitoring: $200–$500/month for heartbeat checks and broker connection validation
Failover infrastructure just tripled your annual cost to $36,000–$60,000.
Here's what most DIY traders do instead: they skip failover. Then they lose $500–$5,000 when their bot goes down during a market move they were counting on. After the third outage, they finally build redundancy—but they've already spent the money in losses, not infrastructure, and they're now paying for both.
Monitoring, Compliance, and the Audit Trail
Your broker requires logs. Your accountant requires logs. Regulatory bodies mandate that every trade be recorded and auditable. If you get audited, the IRS wants to see every execution.
Building this system yourself means:
- Logging system: $300–$600/month for structured, searchable, tamper-proof cloud logs
- Monitoring dashboard: $200–$400/month for real-time visibility into bot status, positions, and P&L
- Alerting system: $150–$300/month for SMS, Slack, and email alerts that work 24/7
- Compliance records storage: $200–$500/month for audit-ready archives and geo-redundant backups
Another $850–$1,800 per month. That's $10,200–$21,600 annually, on top of the hosting and failover costs already added.
The Management Labor Cost (The One Nobody Counts)
Infrastructure doesn't run itself. Someone has to monitor server health 24 hours a day. Someone has to patch operating systems and dependencies every month. Someone has to respond when your broker changes API endpoints.
If you do this yourself: that's 5–10 hours per week, which costs you $25,000–$50,000 per year in your own labor.
If you hire someone: $40,000–$60,000 per year in salary.
Most DIY traders don't account for this. They do it themselves for the first year, burn out at month 6, then either hire help (instant $40K cost) or let infrastructure decay (and lose money to bot failures). Either way, the labor cost hits.
Why Professional Teams Amortize These Costs Across Clients
A team building custom EAs for multiple clients spreads infrastructure across dozens of accounts. One monitoring system covers 30 bots. One failover cluster handles 50 live strategies. One compliance audit covers everyone.
Cost per client drops from $36,000/year to $3,000–$5,000/year. That's the arbitrage—not better infrastructure, just shared infrastructure.
This is why Alorny includes infrastructure management with every custom EA we build. We don't ask you to host your bot yourself. We handle the servers, the failover, the monitoring, the compliance logs, and the 24/7 uptime.
A $300 EA from Alorny isn't just the code—it's the infrastructure, the backtest report, the monitoring, and the support to keep it running for the life of your strategy.
The Real Decision: Build vs. Buy
You can build DIY infrastructure for $32,000–$60,000+ per year and spend 5–10 hours per week managing servers.
Or you can have a professional team handle it, fold the cost into the EA price, and spend zero hours on infrastructure.
Most traders think they're saving money by building themselves. What they're actually doing is turning a $300 problem into a $40,000+ problem because they didn't account for the full cost upfront.
Here's the thing: the cheapest infrastructure is the one you don't build.
How to Actually Get Your Strategy Running
If you have a trading strategy that works, you don't need to become an infrastructure engineer to run it.
We build custom EAs from scratch and handle the entire infrastructure side. Working demo in 45 minutes. Full EA with backtest report in hours, not weeks. Your strategy runs 24/7 on infrastructure we manage—you just check your P&L.
A $300 custom EA pays for itself in one 2x leverage win. The infrastructure to run it safely for the next five years? That's what separates traders who compound returns from traders who blow up at 3 AM.
Key Takeaways
- DIY infrastructure costs $32,000–$60,000+ per year—hosting, failover, monitoring, compliance, and labor combined
- Most traders don't account for this. They see a $100/month server and think they're done. By year two, they've actually spent $40,000+ on infrastructure they didn't budget for.
- Failover infrastructure is non-optional. A bot running 99% of the time fails on the 1% when it matters. The cost of downtime is always higher than the cost of redundancy.
- Professional teams amortize infrastructure across clients, dropping the per-bot cost from $36,000 to $3,000–$5,000
- The real arbitrage is time: manage servers yourself or pay a team to do it while you focus on strategy