My EA for autonomous forex scalping robot

[PTScalper]

Hi scalpers,

In this forum thread i will share my progress of developing my own forex scalping autonomous robot


My starting point is Amazon cloud free instance for 180 days and i will compare that with Google cloud paid instance.

What i like in that Amazon cloud instance is, that they allready have in their pricing like 2TB egress all in 22$ per month. Its called Amazon light sail. Plus there is windows server licence. So the pricing is very very good.

First rule for me is to keep everyrhing as low as possible every dolar, which i will save goes directly in my pocket.

Do you have some experience with that?
Thank you for your feedback,
Good luck and take care

[LondonScalper]

Amazon cloud free instance for 180 days... Amazon light sail... 2TB egress all in 22$ per month.

Lightsail is a reasonable “keep costs boring” starting point for an EA that isn’t moving absurd data volumes. The free-tier / cheap-box phase is fine for build-and-measure; just don’t confuse uptime theatre with edge.

What I’d validate before caring about $22 vs a Google box:

• Order round-trip to your broker gateway (not ICMP to 8.8.8.8)
• Behaviour on reconnect / weekend restart
• Disk and clock stability (stale history → array nonsense / bad signals)
• What happens when Windows Update reboots you mid-London

Autonomous scalp robots die more often from ops than from “the logic was wrong.” Watchdogs, auto-restart, and a flatten-on-disconnect policy matter more than shaving another dollar off the VM.

If you’re comparing Amazon vs Google, run the same EA build on both for two weeks and compare reject rate + slip distribution, not CPU benchmarks. That’s the scoreboard that pays. What’s the broker endpoint region you’re aiming at?

[PropScalpDesk]

Autonomous scalp robots need ops, not just cloud

Building your own EA on cloud instances is a serious project. From a discretionary Frankfurt seat, my caution is simple: hosting is the easy part; surviving live costs, disconnects, and regime shifts is the work. Compare Amazon versus Google on latency and egress if you want — also compare how you kill the robot when the journal fills with errors.

Practical suggestions if you continue: hard daily loss in the EA, news flat filter, and a human approval stage before lot size leaves micro. Log every intervention. Autonomy without a kill-switch is a night-risk fantasy.

I will not pretend cloud choice creates expectancy. Logic and execution path do.

Document your interventions in the same journal you would use for discretionary trades. “The robot did it” is not a post-mortem. You chose the settings and the kill policy.

What is your first live success metric — days without critical errors, or actual cost-adjusted PnL after a month?