AI MCP Ready

Cloud Trading Runtime for AI-Centric Traders

Build trading strategies in an IDE like Cursor with OpenAI, Claude or Gemini. Push to GitHub and run it with TradingHost 24/7.

Binance: 327388
Deployment 1
New Deployment
ConsoleOffline

Launch your Cloud Trading deployment

Two steps to go live.

1.Select your strategies to run

From your linked github repo

Trend Following on CCXT Enginemain
Bitcoin Scalper v1.23main
add strategy

2.Choose a location

Pick the region closest to your broker

London~4ms
New York~65ms
Deploy

online in seconds

Cloud Trading

Not deployed
Strategies

No strategies selected yet.

Resources
CPU- / 100%
No data yet
Memory- / 256 MB
No data yet
Health
Uptime-
Deployed-
StreamIdle
RunnerIdle
BrokerIdle
Cloud Trading: two steps from a GitHub repo to a live trading container
Optimised for:

How to get started

Connect. Build. Run.

Connect

Link your GitHub repository.

Register or sign in via GitHub, then connect your repository with TradingHost. Every push to your GitHub main is what TradingHost runs.

Step 1 of 3

Sign in to GitHub

TradingHost reads from your repository and runs every push to main.

Build

Build with AI, save to GitHub.

Create trading strategies in your editor using Claude or ChatGPT, then merge to GitHub main and TradingHost picks up the commits.

ClaudeChatGPTMCP ReadyMCP, Model Context ProtocolA shared language that lets AI assistants like Claude, Cursor and ChatGPT talk to apps directly. TradingHost runs a native MCP server, so your AI can deploy strategies, check positions and manage your account without plugins or extra setup.
Brokers who permit API trading
Reply to Claude…
Strategies
New Strategy
AllDeployedNot Deployed
EURUSD Buy Every 2 Minutes
Deployments: 2 accounts
2d
Grid Trader
Deployments: 2 accounts
5d
Run

Run your strategies in the Cloud 24/7.

Strategies execute inside low-latency cloud containers next to your broker or exchange, with live logs streaming back to your dashboard.

Cloud Trading
Running· London
ResourcesUpgrade
CPU0.0% / 100%
Memory0 MB / 256 MB
ConsoleGrid Strategy
--:--:--[INFO]Awaiting deployment...

Infrastructure · Uptime

Built to never go down.

Isolated Kubernetes containers, replicated across availability zones with stateful failover and broker-adjacent execution.

99.99%
Uptime SLA · Measured monthly
Ultra-low
Execution latency
Multi-region
Active failover
Self-healing
Kubernetes pods
MCP-native
AI deploy

AI-native · MCP workflow

Automate Strategies with AI.Run the code on us.

Build your trading strategies using AI, save your code in GitHub and run it with TradingHost 24/7.

Reply to Claude…
Cloud Trading
Offline· London
ResourcesUpgrade
CPU0.0% / 100%
Memory0 MB / 256 MB
ConsoleGrid Strategy
--:--:--[INFO]Awaiting deployment...
Reply to Claude…

Bring your own language

We support any language.

Why a trading-only host

Built by traders, for traders.

Other clouds pack your strategy in next to video streams, websites and batch jobs, then bill you for the average. When the market opens and milliseconds count, you get whatever capacity is left over.

TradingHost only runs trading. If lag or downtime costs you money, it costs us too. We've kept algorithmic traders online since 2012.

Reserved headroom

Capacity is provisioned for market opens, news prints, and CPI releases — the moments your strategy actually needs the box.

No noisy neighbours

Every workload on the platform is a trading workload. No video transcoders, batch ETL, or sleeping marketing sites sharing your slice.

Tuned for venues

Network paths are optimised for broker endpoints like Equinix LD4 and NY4, not the average web request out of us-east-1.

Pedigree · Backed by ThinkHuge

Trusted by Traders Globally

TradingHost is the newest brand from ThinkHuge, the team that keeps the lights on for algorithmic traders globally since 2012, with brands like ForexVPS.com and FXVM.net.

13yrsKeeping the lights on since 2012
100,000+Active concurrent algo traders
4.9 / 5.0+10,000 reviews on TrustPilot
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Compatible with all API brokers

We support any API trading broker.

Create your strategy in Cursor with Claude or ChatGPT, push to GitHub, and TradingHost runs it 24/7 against the broker or exchange you trade with. Pick a category to find one to start with.

List isn't exhaustive. Any API-enabled broker works.

FAQ · Common questions

Things you’ll want to know.

Push it to GitHub. Sign in with your GitHub account, pick the repository holding your strategy code, and TradingHost provisions a container that runs it. Pushes to your main branch trigger an automatic redeploy in seconds. One container can host multiple strategies, and redeploying one will not disrupt its siblings.

Any broker or exchange with a public API. TradingHost is the runtime layer, not a broker integration, so your strategy code makes the venue connection itself, whether you reach for CCXT, ccxt-pro, a vendor SDK, FIX, or a raw HTTP client. The brokers page lists the venues we hear about most often, but the list is not a whitelist.

No. Start from one of our framework templates (CCXT, Freqtrade, Jesse, Hummingbot, Backtrader, NautilusTrader, vectorbt) or any repository that runs inside a Linux container. Python, JavaScript, TypeScript, Rust, Go, C++, C#, Ruby, R, and Julia all work. Iterate locally with Claude or Cursor through the TradingHost MCP, then push to main when you are ready to go live.

Your broker and exchange credentials live in your own secret store: GitHub Actions secrets, HashiCorp Vault, AWS Secrets Manager, Doppler, 1Password, Bitwarden, or whatever you already trust. TradingHost is not the system of record. At deploy time the runtime receives the values your strategy needs as environment variables, scoped to that container. Credentials never get committed to your repo and never appear in logs.

Containers run in Equinix LD4 (London) and NY4 (New York), the same data centres that host the major broker and exchange endpoints, so your strategy sits one cross-connect away from venue infrastructure. Pick the region closest to the broker you trade against. Real-world round-trip depends on the broker stack too, so we do not quote a single signal-to-fill latency number.

Yes. Plans are month-to-month with no contracts and no exit fees. Cancel and your container keeps running through the period you have already paid for, then drops back to the free dashboard view at renewal. We do not snapshot strategies, so keep your code in GitHub and your credentials in your own vault, exactly where they already live.

Start Trading in The Cloud Today

Low-latency high-availability hosting ready for AI + MCP enabled Algorithmic Trading