Software Alternatives, Accelerators & Startups
Register | Login

Telegram to MetaTrader VS @imqueue

Compare Telegram to MetaTrader VS @imqueue and see what are their differences

Zoviz
Zoviz: Professional Logos, Perfectly Personalized Your Brand. Your Story featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Telegram to MetaTrader logo Telegram to MetaTrader

Automate Telegram to MetaTrader signal copying with AI. Execute trades instantly on MT4/MT5. Cloud-based, 24/7 uptime. Start your free trial.

@imqueue logo @imqueue

RPC over an inter-communication messaging queue for service-oriented Node & TypeScript back-ends. Self-describing services generate their own clients โ€” no boilerplate, no service discovery, no load balancer.
  • Telegram to MetaTrader TTMT | Dashboard
    TTMT | Dashboard //
    2026-05-26
  • Telegram to MetaTrader TTMT | Explore Signal Channel Library
    TTMT | Explore Signal Channel Library //
    2026-05-26
  • Telegram to MetaTrader TTMT | Trade Log
    TTMT | Trade Log //
    2026-05-26
  • Telegram to MetaTrader TTMT | Trading Settings
    TTMT | Trading Settings //
    2026-05-26

Turn every Telegram signal into a live MT4/MT5 trade

Telegram to MetaTrader connects your Telegram account to your broker and executes every signal you receive. A fine-tuned AI parser reads each message, validates the entry, stop, and take-profit levels, then routes the trade to one or more of your accounts through MetaAPI.

The service runs on a dedicated cloud container per user, so trades fire whether your laptop is open or not.

What it does

  • Reads any channel you join. Uses your Telegram account via TDLib, so private VIP channels work the same as public ones.
  • Parses with AI, not regex. A fine-tuned GPT-4.1 model handles messy formats, follow-up edits, and alert-then-details patterns.
  • Executes through MetaAPI. Native MT4 and MT5 support across major brokers and prop firms.
  • Mirrors one signal across many accounts. Run the same channel on demo, live, and prop firm accounts with separate risk settings on each.

Adaptive order engine

  • Layered entries up to 36 orders. Split each trade into 1-6 layers with 1-6 sub-orders to catch retracements without chasing.
  • Three take-profit strategies. Progressive secures profit early, Balanced spreads evenly across targets, Extended holds for the trend.
  • Adaptive TP redistribution. When deeper layers fill, earlier layers compress their targets so the trade still exits in profit.
  • Signal sanitizer. Detects decimal errors and stale prices before they reach your broker.
  • Breakeven, trailing stops, partial closes. Configure once per channel; the rules apply to every trade.

Risk controls

  • Daily loss halt. Set a per-account ceiling. The system closes positions and pauses new entries when you hit it.
  • Per-channel risk profiles. Trust one channel with 2% risk and another with 0.25%.
  • Live dashboard. Watch positions, equity curve, and signal history in real time. Export trades and signals to CSV.
  • @imqueue Landing page
    Landing page //
    2026-07-26

Telegram to MetaTrader

Website
telegramtometatrader.com
Pricing URL
Official Telegram to MetaTrader Pricing
$ Details
paid Free Trial $39.0 / Monthly
Release Date
2025 April
Startup details
Country
Estonia
Founder(s)
Aron Lukacs
Employees
1 - 9
Edit details

@imqueue

Website
imqueue.org
Pricing URL
-
$ Details
-
Release Date
-
Edit details

Telegram to MetaTrader features and specs

  • AI Signal Parsing
    Fine-tuned language model reads any channel format, including follow-up edits and alerts
  • Adaptive Order Engine
    Splits each trade into up to 36 layered orders to catch retracements
  • Multi-Account Broadcasting
    Mirror one signal to demo, live, and prop firm accounts with separate risk per account
  • Take-Profit Strategies
    Progressive, Balanced, and Extended distribution across up to 6 targets
  • Daily Loss Halt
    Per-account ceiling that closes positions and pauses trading when hit
  • Per-Channel Risk Profiles
    Different lot size, SL, and TP rules for each signal source
  • MT4 & MT5 Support
    Native execution across major retail and prop firm brokers
  • Private Channel Access
    Reads VIP and members-only Telegram channels through your own account
  • Live Dashboard
    Real-time positions, equity curve, signal history, and CSV export
  • Free Trial
    No credit card required to start

@imqueue features and specs

  • TypeScript-first design
    imqueue is built with TypeScript at its core, providing strong typing, better IDE support, and compile-time error checking, which helps catch bugs early and improves the developer experience when building microservices.
  • RPC-style messaging abstraction
    It simplifies inter-service communication by abstracting away the complexities of message queue protocols, allowing developers to make calls that feel like local function calls while the underlying complexity of message passing is handled by the framework.
  • Built on RabbitMQ
    By leveraging RabbitMQ as its message broker, imqueue benefits from a mature, battle-tested messaging system with reliable delivery guarantees, clustering support, and a large ecosystem of tools and documentation.
  • Code generation and tooling
    imqueue provides CLI tools and code generation capabilities that can automatically create service clients and boilerplate code, reducing repetitive work and helping maintain consistency across microservices.
  • Microservices-focused architecture
    The framework is specifically designed for building distributed microservices systems, offering features like service discovery and structured communication patterns that address common challenges in distributed system design.

Possible disadvantages of @imqueue

  • Smaller community and ecosystem
    Compared to more mainstream microservices frameworks, imqueue has a relatively small user base and community, which can mean fewer third-party resources, tutorials, Stack Overflow answers, and community-contributed plugins or extensions.
  • Limited documentation depth
    While basic documentation exists, some users report that advanced use cases, edge cases, and troubleshooting guides are not as thoroughly documented as more established frameworks, requiring more trial-and-error or direct code inspection.
  • RabbitMQ dependency lock-in
    Being tightly coupled to RabbitMQ means teams must adopt and manage this specific message broker, which could be a limitation for organizations that prefer or already use alternative messaging systems like Kafka, NATS, or AWS SQS.
  • Learning curve for framework-specific patterns
    Developers need to learn imqueue's specific conventions, decorators, and architectural patterns, which adds an additional learning curve on top of understanding TypeScript and general microservices concepts.
  • Potential scalability concerns for very large systems
    As with many queue-based RPC frameworks, extremely high-throughput or very large-scale distributed systems may encounter performance bottlenecks or require significant additional configuration and tuning of the underlying RabbitMQ infrastructure.

Telegram to MetaTrader videos

+ Add

Introducing the Signal Accuracy Lab

More videos:

  • Tutorial - Inside TTMT: Full Platform Tour

@imqueue videos

No @imqueue videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Telegram to MetaTrader and @imqueue)

Telegram to MetaTrader

@imqueue

Trading
100 100%
Trading
0% 0
Realtime Backend / API
0 0%
Realtime Backend / API
100% 100
Finance
100 100%
Finance
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

Questions & Answers

As answered by people managing Telegram to MetaTrader and @imqueue.

What makes your product unique?

Telegram to MetaTrader's answer

Two things competitors do not combine:

  1. AI signal parsing instead of regex. A fine-tuned GPT-4.1 model reads each message, so messy formats, follow-up edits ("move SL to BE"), and alert-then-details patterns work without setup. Most copiers break the moment a provider deviates from their template.
  2. Adaptive layered execution. Each trade splits into up to 36 orders across 1-6 layers, with three take-profit strategies and live target redistribution as layers fill. One signal in, a fully managed multi-order position out.

A per-user cloud container keeps it running 24/7, and a built-in signal sanitizer rejects decimal errors and stale prices before they hit your broker.

Why should a person choose your product over its competitors?

Telegram to MetaTrader's answer

  • Parses what Cornix and Copygram miss. The AI handles channels that change format mid-week, post screenshots, or send alerts before full details.
  • Catches retracements. Layered entries fill on pullbacks instead of chasing one market order into a bad fill.
  • Risk controls built in. Per-account daily loss halt, per-channel risk profiles, breakeven and trailing rules. No external EAs or scripts.
  • Broadcast to many accounts. Run the same signal on demo, live, and several prop firm accounts with separate risk settings each.
  • Modern dashboard. Real-time positions, equity curve, signal history, CSV export, lifecycle traces on every trade.

How would you describe the primary audience of your product?

Telegram to MetaTrader's answer

Three groups:

  • Prop firm traders running FTMO, MyForexFunds, FundedNext or similar challenges who need strict risk controls and want to mirror a signal across several funded accounts.
  • Retail signal subscribers who pay for VIP Telegram channels and lose half the move waiting on a phone notification.
  • Copy traders and small fund managers who want serious execution infrastructure without writing MQL4/MQL5 expert advisors.

Typical user trades forex and gold, subscribes to 1-5 channels, and runs 2-4 broker accounts.

What's the story behind your product?

Telegram to MetaTrader's answer

TTMT started because every existing Telegram copier broke on real signal channels. Cornix needed exact templates, others used brittle regex, and none of them handled the follow-up edits that real signal providers send (move SL, partial close, take profit early). The first version solved the parsing problem with a fine-tuned language model. The second version added the layered order engine after watching too many good signals get a single bad fill and stop out before the move developed. The current platform runs as a dedicated cloud container per user, with the same execution engine the team uses on its own accounts.

Which are the primary technologies used for building your product?

Telegram to MetaTrader's answer

TTMT is built on a modern cloud platform with a focus on speed, reliability, and security.

  • AI signal parsing trained on tens of thousands of real trading messages
  • Direct broker integration for instant MT4 and MT5 trade execution
  • Official Telegram client integration to read signals from any channel you join
  • Dedicated cloud environment per user, so your trades run 24/7 without sharing resources
  • Enterprise-grade database with strict access controls โ€” your account data is isolated and encrypted
  • Real-time dashboard with live positions, equity tracking, and full trade history

Built and maintained by a small team that uses the platform on its own trading accounts every day.

User comments

Share your experience with using Telegram to MetaTrader and @imqueue. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing Telegram to MetaTrader and @imqueue, you can also consider the following products

trade2sync - World's First Mobile Signal Copier for MT4, MT5, cTrader. DXTrade, & TradeLocker

Anypoint MQ - With Anypoint MQ, perform advanced asynchronous messaging scenarios โ€” such as queueing and pub/sub โ€” with hosted and managed cloud message queues and exchanges.

SignalForge AI - Execute TradingView alerts on MetaTrader 5 with AI. Prop Firm Shield, trailing stop, news filter. From $4.99/mo.

NSQ - A realtime distributed messaging platform.

AlgoWay - PineConnector alternative for TradingView alerts โ†’ MT5, cTrader, crypto exchanges. Fast webhook routing & risk controls.

CatchSignals - Professional Forex, Crypto & Stock trading signals platform. Real-time alerts, advanced analytics, automated execution, and a Telegram Signal Copier for seamless copying of signals directly into MT4/MT5 for faster, error-free trading.

Loading...