Can i be able to write an AI trading system with MT4 or MT5.

Hey everyone! 👋 I have another question for people who are already running their own AI trading systems. I’m currently building my own AI trading project, and I’ve been thinking about something I haven’t really figured out yet: Once the project is completely built and tested, where do you actually run it? Since a trading AI may need to stay active for long periods and continuously receive market data, process signals, monitor positions, and interact with broker APIs, I’m assuming it needs some kind of server or always-on machine. I’d love to know how you guys handle this in real-world projects. For example: - Do you run your trading AI on your personal PC, or do you move it to a VPS/cloud server/dedicated server? - If you use a cloud server, which type of setup do you use? - What kind of CPU, RAM, storage, and GPU does your system actually need? - Does an AI trading system normally need a GPU running 24/7, or can the trading/decision system run mostly on CPU? - How do you handle uptime, internet connection, server restarts, power failures, and system crashes? - Do you run the entire system on one machine, or split different services across multiple machines/servers? - What do you use for monitoring, logs, alerts, and automatic recovery if something goes wrong? - Roughly how much does your infrastructure cost per month? I’m asking because I’m trying to plan the architecture of my project beyond development and testing. I’d especially love to hear from people who have actually taken their trading AI beyond the development stage and are running it continuously in a real environment. I’m still learning, so if I’m misunderstanding anything about how trading systems are normally hosted or operated, please correct me. Thanks! 🙏

@Lewis Jackson What happened to your 10X account? https://10x-app-production.up.railway.app/auth/login?next=%2F

Hey everyone! 👋 I’ve been working on a coding project for about a month using MonkeyCode AI, and I’m really enjoying building it. My project has grown quite a lot, and now I want to take it all the way to completion. The problem is that MonkeyCode’s free usage has been reduced from around 30 million tokens to 10 million tokens. Since my project is getting bigger, sometimes even fixing a small bug can use up most or all of my daily tokens, which is making it difficult to continue. So I wanted to ask the community for some advice on two things: 1. Is there a good free alternative? I’m looking for a cloud-based AI coding tool that offers a decent amount of free usage/tokens and can handle larger coding projects, debugging, and code changes. I’ve looked into running open-source models locally, but my PC isn’t powerful enough to comfortably run large coding models. So I’m specifically looking for something cloud-based. 2. Should I pay for MonkeyCode? The other option I’m considering is buying MonkeyCode’s paid plan because I really like my project and want to finish it. I’ve also looked at subscriptions for other coding AI tools, but many of their more powerful plans are around $100+, which is quite expensive for me. MonkeyCode’s most expensive plan is around $60, which seems much more reasonable. However, MonkeyCode isn’t as well-known as some other coding AI tools, and I haven’t found many detailed reviews from people who have actually purchased and used the paid plan. So I’m a little worried about spending $60 and then finding out that the subscription doesn’t provide as much usage as I expected or that there are other limitations. What would you recommend in my situation? - Should I buy MonkeyCode’s ~$60 plan? - Is there a better or cheaper alternative for a large coding project? - If anyone here has actually used MonkeyCode’s paid plan, how much usage/tokens did you get, and what was your experience? I’d really appreciate any advice or recommendations. 🙏

The "building fragile AI scripts that break the second they touch real-world complexity" trap that kept my automated workflows stuck in endless trial-and-error (and the ZeroOne Systems question that finally unlocked how to build world-class AI agents) Back when I first started trying to design intelligent automation and deploy AI systems, I made the classic mistake of cobbling together messy, one-off setups that looked great in a quick demo but completely failed under actual pressure—wasting weeks spinning my wheels while my real projects went nowhere, but plugging into the ZeroOne Systems community completely changed everything by opening up a brilliant space for builders focused on creating world-class AI agents that make a meaningful change. Let’s hear from the ZeroOne Systems community: Since I'm new here and diving straight into agent architecture, I have a quick question: what is the single most reliable framework, tool, or logic pattern you use to keep your autonomous AI agents from breaking when handling complex, multi-step tasks? Drop your insights below and let's connect! 🤖⚙️ (By the way, if you’re currently mapping out your agent stack and want a quick look at the exact floment frameworks we’re using to build and scale fast, just drop me a message and I'll gladly share them with you.)