Yes, you can connect TradingView to MT5. The proven method is a webhook-driven bridge: TradingView fires a JSON alert, a listener validates and maps the payload, and an MT5 Expert Advisor executes the order. Three practical routes exist:
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Open-source local bridge — self-hosted, free, requires you to manage uptime.
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Browser-extension pipeline — Chrome extension reads TradingView alerts and relays them to a local MT5 EA.
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Hosted SaaS — a managed listener with mapping, risk sizing, and logs built in (Tickerly is built for exactly this).
Every one of the repositories cited in this guide, including the MIT-licensed bridge project, warns you to test on a demo account before risking real capital.
Key Takeaways
Webhook-driven automation is the most reliable way to connect TradingView to MT5, and reliability depends on payload validation, symbol mapping, and demo testing before going live.
| Point | Details |
|---|---|
| Verdict | TradingView connects to MT5 through webhook bridges, browser extensions, or hosted SaaS. |
| Core architecture | Alert → listener validates and maps payload → MT5 EA executes via WebRequest. |
| Reliability requirement | A VPS, WebRequest allowlisting, and demo testing are non-negotiable before live trading. |
| Security baseline | Passphrase validation, TLS, duplicate-guards, and full logging prevent bad executions. |
| Tickerly’s role | A hosted alternative that manages the listener, mapping, and logs so you skip the DIY maintenance. |
Table of Contents
How to Link TradingView and MT5: Comparing the Methods
Three architectural patterns dominate the TradingView MT5 integration space, and all trades speed against maintenance burden differently.
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Webhook listener + MT5 EA: TradingView posts JSON to a server you run, the server validates it, and an EA executes via WebRequest. Fast and controllable, but you own the server.
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Browser extension + local EA: A Chrome extension watches your TradingView tab and forwards alerts to a locally installed MT4/MT5 EA, as seen in extensions listed on the Chrome Web Store. Simple to install, but it dies the moment your browser closes.
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Hosted SaaS/API: A managed platform runs the listener and mapping layer for you, and handles uptime.
| Pattern | Latency | Maintenance | continuous uptime |
|---|---|---|---|
| Webhook + EA (self-hosted) | Low | High (you patch and monitor) | Only if you run a VPS |
| Browser extension | Medium | Medium | Fails when browser closes |
| Hosted SaaS | Low | None | Built in |
Building a TradingView MT5 Bridge: The Webhook Pattern
Nearly every serious TradingView to MetaTrader 5 integration follows the same skeleton: TradingView alert → HTTPS webhook or local listener → payload validation and symbol mapping → MT5 EA via WebRequest or named pipe → broker order. The Zypheronz webhook bridge is a working example — it receives JSON alerts, checks a passphrase, applies risk sizing, then forwards BUY/SELL instructions to MT5 with full logging.
Setting one up follows a repeatable sequence:
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Deploy the listener (a small Python service or prebuilt binary) on a machine or VPS with a static IP.
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Install and configure the MT5 EA, enabling WebRequest for your listener’s URL in MT5’s options.
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Create a TradingView alert on your strategy or indicator, and paste the listener’s webhook URL into the alert’s webhook field.
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Fire a test alert and confirm the EA logs show the order landing correctly.
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Run the full loop on a demo account for at least several sessions before going live.
A minimal alert payload might look like this in pseudocode: alert fires → JSON {symbol, side, lot, sl, tp, passphrase} → listener checks passphrase → maps symbol → EA opens order.
Pro Tip: Add a duplicate-guard that rejects any alert with the same timestamp and symbol within a short window, and keep a replay log so you can reconstruct exactly what fired if a trade looks wrong later.
What Does a TradingView Alert to MT5 Payload Look Like?
A working alert body for TradingView strategies for MT5 execution is just structured JSON. Here’s a template you can adapt directly in your alert message box which uses TradingView placeholders :
{
"ticker" : "{{ticker}}",
"action" : "{{strategy.order.action}}",
"prev_position" : "{{strategy.prev_market_position}}",
"quantity" : "{{strategy.order.contracts}}",
"pointer" : "your-unique-pointer"
}
Pine Script fills in the placeholders using built-in variables like {{ticker}} and {{close}} at fire time; our Pine Script guide walks through the syntax if you’re new to writing these strings.
What Infrastructure Do You Need for Reliable Execution?
Running an MT5 platform setup with TradingView reliably means treating it like production infrastructure, not a weekend script. At minimum you need Windows with MT5 installed, an EA with WebRequest permissions enabled for your listener’s exact URL, and either a VPS or a machine that never sleeps.
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MT5 running on Windows (native or via VPS), with auto-trading enabled.
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WebRequest allowlist configured for your webhook domain or localhost address.
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A Python runtime or equivalent, since most self-hosted listeners are built on it.
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Stable internet, ideally a VPS near your broker’s server to cut network hops.
Latency is the number that matters most. Local bridges commonly target under 500 milliseconds end-to-end, a figure the niiisho bridge project cites as its design goal, though real-world latency depends heavily on broker execution speed and network routing, not just your listener code.
Before trusting any pipeline with real money, run through this checklist: test exclusively on demo first, treat backtest results with caution since live slippage rarely matches historical fills, review replay logs after every session, confirm the duplicate-guard actually blocks repeat alerts, and set up basic monitoring so a dead listener doesn’t silently stop your strategy.
How Do You Secure a TradingView to MT5 Bridge?
An unsecured webhook is an open door for anyone who finds your URL. Passphrase validation is the baseline. Every payload should carry a shared secret that the listener checks before it touches your MT5 account, and TLS should wrap the webhook connection end to end. Restrict MT5’s WebRequest allowlist to your specific listener URL rather than leaving it open.
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Validate every payload against a passphrase or HMAC signature before processing it.
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Log every incoming alert and every outgoing order for a full audit log.
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Suppress duplicate alerts within a short time window to avoid double-filling a position.
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Use a dedicated, limited-privilege broker account for automated execution, not your main portfolio.
Pro Tip: Enable auto-trading in MT5 only after you’ve confirmed the listener rejects malformed and unauthenticated payloads on a demo account. Flipping that switch too early is how test alerts turn into live losses.
Should You Build Your Own Bridge or Use a Hosted Service?
The tradeoff between DIY and hosted comes down to what you’re willing to maintain versus what you’re willing to pay for.
Open-source bridges cost nothing beyond your VPS bill, and because most, including the MIT-licensed niiisho project, are permissively licensed, you can fork and modify them freely. The catch: you own uptime, security patches, and every 3 a.m. failure.
Hosted SaaS platforms flip that equation. You get managed uptime, symbol mapping, and support, in exchange for a subscription.
| Factor | DIY open-source | Hosted SaaS |
|---|---|---|
| Upfront cost | Free (plus VPS) | Subscription |
| Maintenance | On you | Managed |
| Time to deploy | Hours to days | Minutes |
| Support | Community/GitHub issues | Vendor support |
A hobbyist testing one strategy can reasonably run DIY. A developer managing several strategies across assets typically outgrows it fast. A professional trader who needs the pipeline running every session, without babysitting it, is the clearest case for going hosted.
Getting From Zero to a Live MT5 Bot in About Five Minutes
Connecting TradingView alerts to MT5 through Tickerly skips most of the infrastructure work described above, since the listener, mapping, and logging are already running.
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Create a Tickerly account and connect your MT5-linked broker.
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Add your TradingView strategy alert and paste in the Tickerly webhook URL.
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Map your alert fields (symbol) to the broker’s exact instrument names.
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Enable demo execution first and fire a test alert.
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Check the execution log to confirm the order landed as expected.
What this removes from the DIY checklist: no VPS to provision, no Python service to patch, no manual symbol-mapping spreadsheet, and no homemade duplicate-guard logic to write and test yourself. Risk sizing and audit logs are built into the dashboard.
Test everything in demo mode before switching to live execution, exactly as the open-source bridge documentation recommends.
Fixing the Most Common TradingView to MT5 Errors
Most failures trace back to one of five spots in the chain. Work through them in order before assuming the bridge itself is broken.
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WebRequest errors in MT5: the listener URL isn’t in MT5’s allowlist under Options → Expert Advisors.
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Port conflicts: another process is already using the listener’s port; check with a simple netstat command.
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Alert formatting mistakes: TradingView sent malformed JSON, usually a missing comma or an unescaped placeholder.
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Symbol mismatches: your TradingView ticker doesn’t match the broker’s exact symbol name (brokers often append suffixes like “.a” or “m”).
Read the EA’s log first, then the listener’s log. If the listener never received the alert, the problem is on TradingView’s side. If the listener logged it but MT5 never executed, the problem is the EA or the WebRequest permission.
When to Build It Yourself and When to Hand It Off
Webhook-driven automation is the right foundation regardless of which path you choose. Where people go wrong is skipping demo testing because the setup “looks correct” on paper. It never fully behaves the same way live.

For a single strategy on one account, building your own bridge is a fine way to learn the mechanics. For anyone running multiple strategies or accounts, a managed platform like Tickerly removes the operational risk of a bridge going quietly offline while a position sits open. Test on demo first, either way.
Automate Your TradingView Strategies With Tickerly
Building and babysitting a self-hosted bridge means you’re the one patching the listener, watching the VPS, and rebuilding symbol maps every time a broker changes a suffix. Tickerly runs that entire layer for you: hosted webhook listeners, automatic symbol mapping, configurable risk sizing per strategy, and execution logs you can audit after every trade.
If you’ve read this far because you want your TradingView alerts executing on MT5 without maintaining infrastructure yourself, that’s exactly what Tickerly’s bot trading platform is built for. Connect your strategy, map your fields, and run it on a demo account first, the same way every open-source bridge in this guide recommends. Start your trial and get an alert executing on demo within minutes.
Sources
FAQ
Is It Possible to Connect TradingView to MT5?
Yes. The standard method uses a webhook bridge that receives TradingView’s JSON alert and forwards a mapped order to an MT5 Expert Advisor, though browser extensions and hosted SaaS platforms like Tickerly also work.
How Do You Convert a TradingView Indicator to MT5?
You don’t convert the indicator code directly. Instead, you set an alert on the TradingView indicator, format its alert message as JSON, and route that JSON through a bridge to trigger an equivalent MT5 EA action.
How Can You Connect TradingView to MT5 for Free?
Open-source projects like the MIT-licensed niiisho bridge let you self-host a listener at no subscription cost, though you supply your own VPS and handle maintenance.

Does MT5 Support TradingView Natively?
No, MT5 has no built-in TradingView connection. You need an intermediary, whether a self-hosted webhook listener, a browser extension, or a managed service such as Tickerly, to translate TradingView alerts into MT5 orders.
What’s the Difference Between a Browser Extension and a Webhook Bridge?
A browser extension relies on your TradingView tab staying open and only works while your browser runs, while a webhook bridge runs independently on a server or VPS and keeps working around the clock.

