Dedicated MTProto Server: Private Infrastructure for Serious Traders.
A shared proxy is a public resource. Any operator of a shared proxy can log connection patterns, traffic volumes, and timing data for everyone on it. A dedicated proxy means your Telegram path is yours alone — not shared with strangers on an unknown server.
For traders, dedicated also means consistent. No resource contention from others. No shared queues during news events. Your connection has its own keepalive, its own limits, and its own path.
This guide explains what dedicated actually means at the infrastructure level: keepalive tuning, Go implementation, DC proximity, connection limits, and the questions to ask any proxy provider before trusting it during an evaluation.
What does dedicated MTProto infrastructure actually mean?
Dedicated means your connection does not compete with other users for bandwidth, CPU, or queue space on the proxy server. Under normal load this distinction is invisible — shared proxies work fine when they are underloaded. Under news event load, when every trader on the list needs delivery simultaneously, shared infrastructure queues all requests equally. Dedicated infrastructure has no such queue because there is only one user.
The second variable is keepalive. Linux default TCP keepalive is two hours. Most mobile NAT tables flush connections after 30-120 seconds of inactivity. A backgrounded Telegram session on a default-configured proxy may be silently dead before NFP. A 60-second keepalive prevents this.
The third variable is implementation. Go handles high-concurrency connections with a small, stable memory footprint. Under sudden load spikes, a Go proxy stays responsive where Python or Node implementations can choke.
TradersProxy Standard ($15/mo) and Pro ($25/mo) include dedicated MTProto with FakeTLS on Go infrastructure, 60-second keepalive. — see plans
What 'shared' actually means at the infrastructure level.
A shared proxy server runs a single server process that accepts connections from any client with the proxy's link. There is no authentication that restricts who can connect. The server's file descriptor table, its network interface bandwidth, and its CPU are shared equally among all current connections.
In practice, a shared proxy behaves like a public Wi-Fi access point. On a Tuesday afternoon with 20 users connected, each user gets roughly 1/20th of the server's resources. Nobody notices. On NFP Friday at 8:30 EST with 800 concurrent users, each user gets roughly 1/800th. The delivery queue lengthens. Latency multiplies. The users who needed the proxy most — traders waiting for signal delivery — are the ones who experience the worst degradation.
The shared nature is not a bug in the free proxy model — it is a structural feature. Free proxies have no mechanism to limit users because limiting users would require authentication, and authentication requires infrastructure that costs money to build and maintain. The economics of free proxies make shared, unlimited access the only viable model.
Resource contention under news event load.
A news event creates a synchronised demand spike. At 8:30 EST on NFP Friday, every trader in every signal room on a given proxy needs Telegram to deliver a message at the same moment. This is not a gradual ramp — it is a near-instantaneous simultaneous request from every user.
A server handling 500 simultaneous connections during a normal session may have been processing 20-30 requests per second. At 8:30, it processes 500 requests in the same second. The network interface saturates. The CPU scheduler queues goroutines or threads. The operating system's socket buffer fills. Packets that should have arrived in 200ms are sitting in buffers for 3-8 seconds.
This is not a network problem — it is a server resource problem. Even with FakeTLS defeating ISP throttling, a congested shared proxy introduces its own delay that has the same effect as ISP throttling: your signal arrives late.
Dedicated infrastructure removes this variable entirely. One user, one connection, no resource contention. The server's full capacity is available for your delivery regardless of what every other trader on the internet is doing at 8:30 EST.
Server geography and Telegram DC proximity.
Your MTProto connection has two legs: your device to the proxy, and the proxy to Telegram's data centre. The first leg is affected by your ISP and the FakeTLS masking. The second leg — proxy to DC — is a direct server-to-server connection that adds latency proportional to the physical distance between the proxy and the DC.
Telegram operates five data centres (DC1-DC5) with locations in the United States and Europe. When a message is sent in a signal room, it is stored on one of these DCs. Your MTProto connection is assigned to the DC that Telegram routes you to based on registration geography. The proxy must forward traffic to and from the appropriate DC.
A free proxy hosted in Singapore adds a proxy-to-DC hop that might be 200-300ms round-trip to a European DC, where a proxy in Frankfurt has a 5-10ms round-trip to the same DC. In absolute terms, this matters less than keepalive configuration for most traders. But for prop firm traders chasing entries in the sub-500ms window, every unnecessary hop is worth eliminating.
Free proxy lists almost never document datacenter relative to Telegram DCs because the operators did not factor this into setup. Evaluating DC proximity requires knowing the proxy IP, running a traceroute, and knowing which DC your Telegram session uses. None of this is surfaced in a Telegram channel proxy list.
TCP keepalive: why Linux defaults break mobile traders.
TCP keepalive is a mechanism that periodically probes an idle connection to confirm it is still alive. If the remote end does not respond — because the NAT table expired, the mobile moved between networks, or the app was backgrounded — the server detects the dead session and closes it, freeing resources.
The Linux kernel's default TCP keepalive parameters: idle time before first probe = 7200 seconds (2 hours), probe interval = 75 seconds, probe count = 9. In practical terms, a connection must be idle for over two hours before the server even checks if it is alive.
Time until dead connection is detected — keepalive comparison
A mobile NAT table or hotel router may flush a TCP entry after 30-120 seconds of inactivity. With Linux defaults, the proxy server does not detect the dead session for 2+ hours. With 60-second keepalive, the connection is probed before any mobile NAT table would flush it.
The practical scenario: you open MT5 for London open, Telegram is in the background. After 45 seconds of no Telegram activity — no messages in your rooms, no typing — your phone's NAT table may quietly close the TCP session from the proxy side. The proxy does not know. When NFP fires and Telegram tries to push your signal, it discovers the connection is dead and must perform a full reconnect handshake.
That reconnect takes 3-8 seconds on a mobile connection under load. During those 3-8 seconds, the price is moving at the entry level you planned. By the time Telegram is reconnected and the signal is displayed, the entry may be gone.
A 60-second keepalive sends a probe packet every 60 seconds over idle connections. If your NAT table has a 30-second timeout (some aggressive mobile networks), you need an even shorter keepalive. TradersProxy uses 60 seconds, which covers the vast majority of mobile NAT configurations while not generating excessive probe traffic.
Go vs Python vs Node: why implementation language matters under load.
Most open-source MTProto proxy implementations are written in Python. The original reference implementation from Telegram is Python. Many third-party implementations use Node.js. Each language has different performance characteristics under high-concurrency loads — and the differences matter specifically during news event spikes.
Goroutines: M:N threading with a small, fixed memory cost per connection. Handles thousands of concurrent connections at O(1) memory overhead per goroutine. Under sudden load spikes, the scheduler distributes work across available CPUs without GC pauses that block handling new connections.
GIL prevents true parallelism in CPU-bound paths. Async Python (asyncio) handles I/O concurrency but faces GIL contention for connection bookkeeping. Under a 500-connection spike, Python's event loop can queue callbacks for seconds. Common for free proxy implementations due to the reference implementation being Python.
Single-threaded event loop handles I/O concurrency well at moderate load. Under extreme concurrency, the event queue lengthens and callback scheduling latency increases. V8's garbage collector can pause the event loop under memory pressure — problematic during a burst of simultaneous connections.
The relevant scenario is not average load — it is the peak load spike at 8:30 EST. At that moment, a Go server dispatches goroutines for each new connection with microsecond overhead per goroutine. A Python asyncio server accumulates callbacks in its event loop. A Node server's GC may trigger during the spike.
The difference is not hypothetical. It is the difference between a server that handles 500 simultaneous delivery requests in the first second versus one that handles them over 3-8 seconds as the event loop clears. For signal delivery, 3-8 seconds is the entire valid entry window.
Per-user connection limits: how they protect your session.
Per-user connection limits serve two functions. First, they prevent a single account from accumulating idle connections that consume server resources — if your phone, desktop, and tablet are all connected through the same account, three connections are using server capacity. Limits ensure this scales proportionally with plan tiers rather than allowing unlimited accumulation.
Second, and more directly relevant to traders: limits prevent credential abuse. If your proxy link were shared or stolen, unlimited connections would allow an attacker to exhaust your connection slots from another device, potentially degrading your own connection quality or triggering a security review. Connection limits enforced per account prevent this.
The enforcement mechanism matters. Limits that are checked after traffic is already being forwarded add no protection — the resource has been consumed before the limit fires. TradersProxy enforces per-user limits at the connection handshake level, before any forwarding begins. The check is a lookup against the account credentials in the secret. This adds negligible latency to connection setup and zero latency to forwarding.
If you attempt to connect a third device when your plan allows two, the third connection is refused immediately at the proxy layer. Your existing two connections are unaffected.
What TradersProxy's infrastructure actually does.
The TradersProxy MTProto stack is a Go implementation running on dedicated infrastructure. Each of the properties described in this guide is implemented and tuned specifically for trading use, not inherited from default configurations.
Obfuscated2 + FakeTLS. The 'ee' prefix secret in your tg:// link confirms FakeTLS is active. Your secret is unique to your account — generated in the portal, not shared. The proxy verifies it at connection time before any forwarding.
60-second TCP keepalive. Configured at the proxy server level, not inherited from Linux defaults. This keeps your Telegram connection alive through typical app-backgrounding events and most mobile NAT table configurations.
Go implementation. The proxy server is written in Go. The concurrency model handles connection spikes without the event-loop or GIL limitations of Python or Node implementations. Under news event load, this is the architectural choice that matters.
Same node as your trading terminal. Your SOCKS5 relay for MT4/MT5/cTrader runs on the same physical node. When you switch between apps during a trade, both connections are being maintained by the same infrastructure with consistent keepalive and congestion handling.
Portal-generated credentials. Setup is 60 seconds. Log into the portal, copy the tg:// link, tap it in Telegram, tap Enable. The credentials are automatically configured — no manual IP/port/secret entry required unless you prefer it.
Questions to ask any proxy provider.
These questions have specific, answerable answers. Any provider who deflects them is telling you their infrastructure was not designed at this level of specificity.
-
Does the proxy implement FakeTLS? What is the secret format?FakeTLS secrets start with 'ee'. Without FakeTLS, the proxy relies on Obfuscated2 only — which may not defeat ISPs that throttle unidentified traffic.
-
What is the TCP keepalive configuration?Linux default is 2 hours. For trading use, 60 seconds is the right answer. Anything above 5 minutes risks silent connection drops before news events.
-
Is the connection dedicated or shared? What is the concurrent user count?A shared link with no user limit is a shared resource. Under news event load, it queues like any other shared resource. Dedicated means your traffic has no competition.
-
What language is the proxy server written in?Go handles concurrency with consistent latency under load. Python and Node can introduce GIL contention and event loop delays during spikes. Under NFP, implementation language is a performance variable.
-
Where is the server geographically relative to Telegram's DCs?Telegram DCs are in the US and Europe. A proxy in an unrelated region adds unnecessary latency to the proxy-to-DC hop. The answer should name a specific location, not "a major data centre."
-
How are per-user connection limits enforced?Enforcement before forwarding (at handshake) is the correct answer. Enforcement after forwarding adds no protection against resource abuse.
-
Is the proxy on the same node as any trading terminal relay?If you use a SOCKS5 relay for MT4/MT5, the same keepalive and infrastructure applies to both when they are co-located. Separate infrastructure means two independent points of failure.
-
What is the uptime monitoring setup? Who gets alerted when the node goes offline?"Nobody" is the implicit answer for most free proxies. The answer should describe a specific monitoring and alerting process.
Eight questions about dedicated MTProto infrastructure.
A dedicated proxy allocates server resources to a single user or account. Your connection does not share bandwidth, CPU, or queue space with other users. Under high load — news events, simultaneous demand spikes — a dedicated proxy maintains consistent delivery because there is no resource contention from other users.
Go's concurrency model (goroutines) handles thousands of simultaneous connections with a small, fixed memory footprint per connection. Under load, a Go proxy degrades gracefully — new connections are handled consistently without the memory spikes that characterise Python or Node under high concurrency. For a server handling simultaneous signal delivery during a news event, this stability is the relevant property.
TradersProxy runs per-user connection limits enforced at the proxy layer. While multiple subscribers use the same physical infrastructure, the connection architecture isolates each user's traffic and enforces limits before forwarding. This is different from a shared VPS where a single link is distributed publicly with no limits.
TCP keepalive is a mechanism where the server sends periodic probe packets to confirm an idle connection is still alive. Linux default is 7200 seconds (2 hours). Many mobile NAT tables and hotel/cafe routers flush connections after 30-120 seconds of inactivity. With a 2-hour keepalive, a backgrounded Telegram connection is silently dead long before the keepalive fires. A 60-second keepalive ensures the connection is verified alive every 60 seconds, preventing silent drops before news events.
Telegram operates five data centres (DC1-DC5) located in the US and Europe. TradersProxy infrastructure is positioned to minimise the proxy-to-DC hop — the leg from the proxy server to Telegram's servers. This reduces the round-trip time that the proxy adds to the delivery path.
The connection limit is enforced per account. If you attempt to connect more devices than your plan allows simultaneously, the new connection is refused at the proxy layer before any traffic is forwarded. Existing connections remain unaffected. Upgrade to Pro for additional device slots.
Yes. Self-hosting gives you full control. You need a VPS, a public IP, an MTProto proxy implementation with FakeTLS support, TCP keepalive tuned to 60 seconds, and ongoing maintenance and monitoring. If the VPS goes down, you fix it. TradersProxy is the maintained, configured alternative for traders who prefer to focus on trading rather than server management.
SOCKS5 is a transport-layer relay for any TCP/UDP traffic — used for your trading terminal connection. MTProto is Telegram's application-layer protocol — used specifically for Telegram. TradersProxy runs both on the same physical node. Your terminal traffic goes via SOCKS5; your Telegram traffic goes via MTProto. They share keepalive tuning and infrastructure without sharing the connection layer.