Free MTProto Proxy vs Paid: Security, Reliability, and Access — Not the Same Thing.
A free proxy list gives you an address. It does not give you privacy, reliability, or security. When you route your Telegram through a random shared server, you do not know who runs it, who else is on it, or what they log. A dedicated proxy is a different category.
For traders, the stakes are higher. Your signal room, your entry timing, your broker communication — all routing through Telegram. The infrastructure that carries it matters.
This guide covers the mechanics of why free proxies fail exactly when you need them, what dedicated infrastructure actually provides, and how to evaluate any proxy before trusting it with your entries.
Why do free MTProto proxies fail during news events?
Free MTProto proxies are shared resources. The link is public — anyone who finds it uses the same server. Under normal load, this is invisible. During a news event, every user on that server needs delivery at the same moment. The server's bandwidth and connection table queue all requests equally. The result is congestion-induced delay at exactly the wrong time.
There is also no keepalive tuning on free proxies. Linux default TCP keepalive is two hours. A connection that was active during London close and backgrounded before NFP may have silently dropped. When the signal fires, Telegram reconnects before delivering — adding 3-8 seconds to an already stressed moment.
Dedicated infrastructure changes both variables. One user per connection. Keepalive tuned to 60 seconds. The server exists specifically to deliver traffic for paying customers, not to absorb whatever load happens to arrive.
TradersProxy Standard ($15/mo) and Pro ($25/mo) include dedicated MTProto with FakeTLS. — see plans
The proxy list economy: shared resources, unlimited users.
Free MTProto proxy lists work like this. Someone sets up a VPS — often a $5/month node from a low-cost provider. They install an MTProto proxy server. They generate the link and post it in a Telegram group, a subreddit, a GitHub gist, a blog. The link is public. Everyone who finds it connects to the same server.
There is no registration. No cap on concurrent users. No enforcement mechanism. The server receives as many connections as it will accept until it becomes unresponsive or runs out of file descriptors.
The person who set up the proxy might maintain it for a few weeks. Or they might abandon it. There is no business model to sustain it. No customer demanding uptime. No alert if the node goes down at 3am before a news event. The link stays in the list. Users connect. Nothing happens. They blame the signal provider.
The economy of free proxy lists is not a technical problem — it is an incentive problem. Nobody is paid to make them work. Nobody is on the hook when they do not. For everything that does not matter, that is acceptable. For signal delivery during a prop firm evaluation at NFP, it is not a gamble worth taking.
What shared means during a news event.
A shared proxy server has a fixed amount of bandwidth, CPU, and connection capacity. Those resources are divided among all concurrent users with no priority system. Everyone is equal. Everyone competes.
During normal trading hours, this is invisible. The server is underloaded. Each user gets what they need. The proxy works. You test it on a Tuesday, it works, you leave it.
NFP prints at 8:30 EST. Every trader in every signal room connected to that proxy needs delivery at the same moment. The server receives a simultaneous burst of connection requests and message pushes. The network interface and CPU saturate. Connections queue. The first to be served are random — there is no prioritisation.
The practical result: during the three minutes around a high-impact news event, a shared free proxy can add 5-15 seconds of delivery delay — not from ISP throttling, but from server congestion. Your signal is in queue behind the hundreds of other traders on the same list.
Infrastructure comparison
| Feature | Free proxy | TradersProxy |
|---|---|---|
| FakeTLS masking | Rarely — most run Obfuscated2 only | Yes — Obfuscated2 + FakeTLS, 'ee' prefix secret |
| TCP keepalive | Linux default (2 hours) or untuned | 60 seconds — survives app switches |
| Per-user dedicated | Shared among hundreds or thousands | Dedicated per account — no shared queue |
| Server geography | Random VPS location, often far from Telegram DCs | Positioned relative to Telegram data centres |
| Uptime SLA | None — no obligation to maintain | Monitored — paying customers depend on uptime |
| Go implementation | Varies — often Python or Node under default config | Go — low overhead, handles concurrent connections |
| Same node as trading terminal | Unrelated infrastructure | SOCKS5 + MTProto on the same node |
| Support | None | Portal access, direct contact |
The keepalive problem: Linux default is two hours.
TCP keepalive is a mechanism where the server periodically sends small probe packets to confirm that an idle connection is still alive. If the client does not respond — because the phone is in a tunnel, the app is backgrounded, or the NAT table on a hotel router has flushed the entry — the server detects the dead connection and closes it cleanly.
The Linux kernel default for TCP keepalive idle time is 7200 seconds — two hours. That means a connection is considered potentially stale and gets a probe only after sitting idle for two hours. In practice, many mobile NAT tables and hotel/cafe router configurations flush entries after 30-120 seconds of inactivity.
The consequence: a trader who opens MT5 and backgrounds Telegram during London close has a Telegram connection that may be silently dead by 8:30 EST. The proxy does not know. Telegram does not know. When NFP prints and the signal fires, Telegram attempts to deliver to a dead connection and must trigger a full reconnect sequence — handshake, authentication, session resumption. This takes 3-8 seconds on a mobile connection.
A proxy tuned with a 60-second keepalive probes the connection every 60 seconds. When the phone backgrounds Telegram for 45 seconds and the user switches back, the proxy has already confirmed the connection is alive. Telegram resumes in milliseconds, not seconds.
Free proxies run Linux defaults. The keepalive issue is invisible on most days and catastrophic on the days it matters. Default settings are for general-purpose servers, not for signal delivery infrastructure.
Server geography vs Telegram DC proximity.
Telegram routes your connection to one of five data centres — numbered DC1 through DC5, located in the US and Europe. When you connect through an MTProto proxy, your traffic goes from your device to the proxy server, and from the proxy server to the Telegram DC. The second hop — proxy to DC — adds latency proportional to the physical distance between them.
A free proxy hosted on a random VPS in Singapore adds significant latency to the proxy-to-DC hop, even if your device is geographically close to a Telegram DC. The route is: your phone (Europe) ? proxy (Singapore) ? Telegram DC (Europe). The proxy hop doubles the distance for no benefit.
The relevant metric is round-trip time from the proxy server to Telegram's data centres. A proxy in Frankfurt near DC5 has a fundamentally different latency profile than a proxy in Singapore. Free lists do not publish this information because the operators do not typically measure it.
Geography matters less than keepalive under most conditions — the keepalive issue produces larger delays. But for traders chasing entries in the 100-500ms window after a signal fires, the proxy-to-DC hop is worth considering. Infrastructure placed relative to Telegram's DC locations removes this variable.
Uptime patterns: free proxies fail at exactly the wrong moment.
Free proxy operators have no contractual reason to maintain uptime. No customer churn. No revenue impact. The proxy works when it works. When the VPS lease expires or the operator moves on, the server goes offline. The link remains in the list.
Consumer VPS providers also have maintenance windows, unexpected outages, and resource limitations that affect hosted services. A $5/month VPS node is not monitored 24/7 by its operator. If it goes offline at 3am before a CPI print, no one notices until someone tries to connect.
This produces a pattern: free proxies have intermittent reliability correlated with network load. They are most likely to be offline or congested during exactly the events that create the highest demand — high-impact news, FOMC, unexpected volatility events. The proxies that survive long enough to appear on current lists tend to be low-load nodes. High-load nodes fail faster.
A paid proxy is maintained because customers pay for it to work. If it goes down, customers leave. The incentive structure is different. This does not guarantee perfect uptime — no service does — but it creates a reason to fix problems quickly and monitor proactively.
The real cost: $15/month vs one missed entry.
Standard plan is $15/month. One missed entry — taking the trade after the initial move instead of at the setup entry — can easily cost more than that in slippage, wider spread at the rushed entry, and the psychological tax of entering a trade that is already partially wrong.
This is not a hypothetical calculation. Every trader who has chased a late entry knows the pattern. You see the notification, switch to the terminal, the price is 5-10 pips past where you planned. You either skip it — losing the setup — or you enter late, with a worse risk/reward ratio and a higher likelihood of hitting your stop on the natural pullback.
The $15 question is not "can I afford this?" It is "how many entries per month does a working proxy protect?" If it saves one entry per month — one setup you get right instead of chasing — it has paid for itself. If you are trading news events with signal rooms during a prop firm challenge, the math is not close.
The Starter plan at $9/month does not include MTProto. It is not the right plan if signal delivery during news events is part of your workflow. Standard and Pro both include the full MTProto stack.
What TradersProxy's dedicated setup actually delivers.
The TradersProxy MTProto implementation is built in Go and runs on the same node that handles your SOCKS5 relay for MT4/MT5/cTrader. The two paths — Telegram MTProto and trading terminal SOCKS5 — are separate but share the same underlying infrastructure, which means the keepalive and congestion tuning applies to both.
FakeTLS is implemented with the correct 'ee' prefix secret format. This is the masking approach Telegram designed for DPI bypass. The secret is unique per user — it is generated in your portal, embedded in your personal tg:// link, and not shared with other users on the platform.
TCP keepalive is set to 60 seconds. This keeps the Telegram connection alive through typical app-backgrounding events. When you switch to MT5 to execute a trade and switch back, the Telegram connection is still warm.
Per-user connection limits are enforced at the connection layer. This prevents a single account from accumulating idle connections that consume server resources, and prevents your credentials from being used concurrently on more devices than your plan allows. The enforcement is before traffic is forwarded — it does not add latency to normal operations.
Setup is 60 seconds from the portal. Your unique tg:// link is generated automatically. Tap it in Telegram, tap Enable. The MTProto proxy status shows as Connected immediately.
How to evaluate any MTProto proxy.
Whether you are evaluating TradersProxy or any other option, these are the questions that matter. A provider who cannot answer them specifically is telling you they have not thought about the problem at the level your trading requires.
- Does the proxy implement FakeTLS, or only Obfuscated2? Ask for the secret format — FakeTLS secrets start with 'ee'.
- What is the TCP keepalive configuration? Default Linux is 2 hours. The correct answer for trading use is 60 seconds or less.
- Is the connection dedicated per user or shared? If shared, how many concurrent users does the server support?
- What is the server's geographic location relative to Telegram's data centres? Frankfurt, Amsterdam, and Miami are relevant reference points for DC proximity.
- What is the uptime monitoring setup? Who gets alerted when the node goes offline?
- What language is the server implementation in? Go handles concurrent connections with lower memory overhead than Python or Node under load.
- Is there a connection limit per user? How is it enforced?
- Is the proxy on the same infrastructure node as your trading terminal relay, or separate?
The free proxy list you found cannot answer most of these. That is not an accusation — it is a structural feature of the free list model. The operators did not design these systems with this level of specificity. They set up a proxy server and shared the link.
For signal delivery that needs to work during NFP, that is not enough.
Eight questions about free vs paid proxies.
Security-wise, the proxy routes encrypted MTProto bytes it cannot read. The risk is not privacy — it is reliability. Free proxies fail under load, go offline without notice, and have no one maintaining them. During news events when delivery matters most, they are the most likely to be congested or offline.
In Telegram, go to Settings > Privacy and Security > Advanced > Connection type. If a proxy is configured, the status shows as Connected or the ping time. A high ping or Disconnected status means the proxy is offline or congested. Testing on a quiet Tuesday tells you nothing about NFP performance.
A shared proxy is a server whose connection link is distributed publicly. Any user who finds that link connects through the same server. The server's bandwidth, CPU, and connection table are shared equally among all concurrent users — with no prioritisation, no per-user limits, and no isolation.
News events create simultaneous demand spikes from all users on the proxy at once. Every trader watching the same NFP print needs signal delivery at the same moment. A shared server with limited bandwidth handles that spike by queuing connections — the slowest connections get the least bandwidth. Your signal waits.
Yes. Telegram publishes the MTProto proxy server specification and there are open source implementations. You need a VPS, a public IP, the ability to configure FakeTLS with a correct secret, and ongoing maintenance. A $5/month VPS is a single shared node with default Linux keepalive settings — not the same as infrastructure tuned for trading use.
TradersProxy runs on infrastructure with uptime monitoring. If a node goes offline, it is a specific engineering problem that gets addressed — not a VPS someone forgot to renew. The reliability gap between a maintained paid service and a free list is not marginal. It is the difference between someone's side project and a product with paying customers depending on it.
A $5 VPS gives you a server. You still need to install and configure the MTProto proxy server, set up FakeTLS with a valid secret, tune TCP keepalive, monitor uptime, handle updates, and manage the infrastructure. TradersProxy gives you a configured, maintained, monitored proxy on a node that also handles your trading terminal — without the self-hosting overhead.
The Starter plan ($9/mo) includes a 7-day free trial. MTProto is not included on Starter — it is available on Standard ($15/mo) and Pro ($25/mo). Those plans start billing on signup with no trial period.