Telegram Quotex Alert Bot

@KarthikTechCon

Hello, I'm Karthik, a Python developer with over 15 years of experience in building robust automation solutions. I can create a Telegram Quotex Alert Bot that meets your requirements. Here's my approach: 1. Real-Time Data Handling: I'll set up a Python script on a VPS to connect to Quotex and monitor all currency and asset pairs via the 1-minute candle feed. 2. Candle Pattern Recognition: The bot will identify when five consecutive candles of the same color close and will send alerts to your Telegram chat with the required details—asset name, candle color, and closing timestamp. 3. Stability & Logging: I will ensure the bot runs continuously without memory leaks, complete with clear logging and easy configuration for tokens and filters. 4. Visualization: I will integrate a lightweight library like Matplotlib or Plotly to mirror the live Quotex candles, allowing for visual verification. Deliverables will include well-commented source code, a requirements file, and a setup guide. Looking forward to collaborating! Best, Karthik

@Sv3nie

Hi, Python bots like this Telegram alert one are work I do often, I can build it for you. Regarding "Telegram Quotex Alert Bot": custom Python back-ends is not my main specialty but I have shipped it before and can do this properly. I am a full-stack developer (100+ five-star reviews on Freelancer) with real Python experience next to my core MERN and blockchain work. Open to a quick chat whenever suits you. Lets get in contact first.

@Cruz1217

Missing a single tick in the 1-minute feed can cause the five-candle pattern to be mis-detected when the VPS experiences a brief network glitch. I'll set up a resilient TCP connection to Quotex and buffer the last five candles per symbol. When the colour streak completes, I'll fire a Telegram API call that includes the exact asset label and closing timestamp. A simple INI file will let you add or remove assets without editing the script. A common mistake is relying on the raw feed without handling occasional duplicate or missing candles, which can break the rolling buffer. You’ll get reliable alerts exactly when a five-candle run ends, and a live Matplotlib chart that mirrors Quotex data for quick visual verification. Logs rotate daily, keeping memory use low and giving you a clear audit trail.

@larencea30

Hi, I can build the Python-based real-time candle monitoring and Telegram alert system for your VPS, with a focus on accurate candle-close detection and reliable 24/7 operation. I have 5+ years of experience with Python, API integrations, backend systems, databases, logging, and production deployments. I can structure the system to monitor the required 1-minute candle feed, detect exactly five consecutive closed candles of the same color, and send a single formatted Telegram alert containing the asset name, 5 Red/5 Green result, and closing timestamp. I’ll also include reconnect/error handling, duplicate-alert protection, structured logging, configuration for the Telegram token/chat ID and asset filters, and systemd service configuration for automatic restart on the VPS. For the charting component, I can mirror the received candle data using a lightweight Python visualization approach so you can verify that the processed data matches the broker feed. One important step is verifying the documented/approved Quotex real-time data access method before implementation. Once the feed/access method is confirmed, I can build the monitoring and alert layer around it without relying on fragile workarounds. Best, Larence

@AdilCodes

Having built several web and mobile solutions, I'm confident in my ability to deliver a top-notch solution for your Telegram Quotex Alert Bot project. While most of my recent work has been with PHP and Laravel, I am well-versed in Python as well and I have experience handling real-time data and integrating APIs into my projects. What sets me apart from the competition is my commitment to stability. I understand the value of a reliable solution, especially in the context of your project where you want your bot to continuously run without any memory leaks or crashes. Alongside delivering the core functionality you've described, I'll ensure your script is fully optimized for VPS deployment while maintaining optimal performance. Furthermore, when it comes to testing, I consider it as a central part of the development process. So, I'm not only willing but eager to let my code undergo extensive testing during live market hours—to make sure it performs impeccably in all qualifying conditions. With me, you're not only getting a proficient developer but also a thorough tester who won't leave any stones unturned to ensure your satisfaction.

@OnicoDigital

Hi, I can help build the Python-based Quotex monitoring bot and Telegram alert workflow. The system can continuously monitor the available 1-minute candle feeds, detect five consecutive candles of the same colour, and immediately send a single formatted Telegram alert containing the asset, sequence direction and closing timestamp. I’d also include logging, configuration for the Telegram token/chat ID and asset filters, VPS-ready deployment files, and a lightweight live candle visualization so the incoming data can be compared against the Quotex chart. Before implementation, I’d first confirm the most reliable method available for accessing the Quotex live and OTC candle data. Kind regards, Maximillion Onico Digital

@vitorcam

Ola! Tenho interesse no seu projeto e posso entrega-lo com qualidade. Ainda esta aberto?

@abhilashr53

You want a rock-solid, always-on Python bot that monitors every Quotex asset pair in real time, detects five consecutive same-colour candles on the one-minute feed the instant the fifth closes, and fires a precisely formatted Telegram alert without duplicates, memory leaks, or silent failures. Here is exactly how I will build it. I will connect to Quotex using the unofficial WebSocket API via the quotexapi Python wrapper, maintain a rolling candle buffer per asset with deque structures to keep memory flat regardless of runtime, and apply the five-candle detection logic on each confirmed close event. Telegram alerts go out via python-telegram-bot. For the visual layer I will use Plotly Dash served locally on the VPS so you can open a browser tab and see live candlestick charts updating in sync with what the bot processes, giving you a direct comparison against the broker chart. Configuration lives in a single dotenv file covering your Telegram token, chat ID, and an optional asset whitelist. A systemd unit file handles automatic restarts. Rotating file logging with timestamps covers every alert, connection event, and error. The main risk here is WebSocket reconnection handling after broker-side drops. I will implement exponential backoff with state preservation so no candle sequence is lost mid-stream. Timeline: working bot with alerts in three days, chart overlay and full documentation by day five. One quick question before I start: do you need OTC pairs monitored during weekends only, or should the filter treat them identically to standard pairs at all times?

@bohdanmelnykua

Hi! I build Python Telegram alert bots that run 24/7 on a VPS, including candle-pattern watchers that push signals straight to a chat. Quotex has no official public API, so the practical route is the websocket feed their web terminal uses — I'd hook into that with a reconnect loop so it survives overnight without leaks. The Matplotlib mirror chart is no problem either, so you can eyeball that my candles match the broker's. One thing I'd like to know before starting: do you want alerts on every pair at once, or a filter list from day one? Around 6 days on my side.

@joeyb05

I recently helped bring several ideas to life by creating clean, professional, and user-friendly solutions that are both practical and visually polished. I’d be happy to do the same for your Telegram Quotex Alert Bot project, focusing on the specific requirements you've outlined and delivering a solution that fits your vision. I pay close attention to the details that matter, from ensuring stability for round-the-clock operation on a VPS to implementing clear logging and a straightforward configuration process. I can integrate the alert logic with real-time candle plotting using Matplotlib or Plotly, allowing you to visually verify the data. I’ll also work with you on any necessary adjustments until you’re satisfied. Only release payment once you’re happy with the final result. If this sounds like what you’re looking for, send me a message and let’s discuss your project. Regards, joeyb05

@morne01

?IF YOU'RE NOT HAPPY, YOU DON'T PAY.? I recently helped a client create a robust trading bot that monitored market conditions in real time. The solution provided them with timely alerts and stability, allowing them to focus on trading strategies. I will help you achieve a reliable and efficient Telegram alert bot that connects to Quotex and monitors asset pairs with precision. Stability is crucial for your project. I understand your need for clean, professional, and user-friendly functionality, including seamless logging and configuration. I have extensive experience outside of Freelancer, but I am new to Freelancer. My skills in Python, real-time data processing, and visualization tools like Matplotlib will ensure your bot runs smoothly and effectively. Looking forward to collaborating on this project. Regards, MORNE.

@Lennyfixesall

Watching every pair and OTC listing on the 1-minute feed is the part that decides everything here, since Quotex has no official API and access depends on your account. Can you hand the bot credentials for one? You'll get the five-in-a-row alerts landing in your chat with asset, colour and close time, plus a live candle view to check against the broker, running unattended on your VPS. INR 4,015, one day.

@nikitau26

Hi! Quotex doesn't expose a public API, so authentication has to piggyback on their web app: log in with email and password over their WebSocket protocol (the same approach open-source clients like pyquotex use), then subscribe to the 1-minute candle stream for whichever pairs you want, OTC included. Plan: a Python script tracks candle color per asset, and the moment 5 same-color candles close in a row it fires a Telegram message with the asset name, direction, and closing timestamp. Runs as a systemd service on your VPS, auto-reconnects on drops, logs everything. For the visual check I'd go with Matplotlib saving a PNG snapshot per candle close rather than a live Plotly window, lighter on a VPS with no display and just as easy to eyeball against Quotex's chart. Happy to do Plotly instead if you'd rather have an interactive view open in a browser tab. Delivery: working alert bot in 3 days, chart mirror plus docs by day 5. Can start today, which pairs/OTC list do you want covered first?

@Ruan111

We've just completed a similar project, developing a Python-based trading bot that monitors multiple asset pairs and sends real-time alerts via Telegram. This aligns perfectly with your needs for a Quotex alert bot. I understand the importance of stability and clarity in your requirements. Our solution will ensure the bot runs smoothly on a VPS, incorporates clear logging, and allows for easy configuration of essential parameters. With our expertise in automated trading systems and a strong focus on reliability, we have garnered 75+ 5-star reviews on similar projects and rank in the top 1 percent among 75 million users. I can also provide visualizations using libraries like Matplotlib or Plotly to ensure you're able to verify the data seamlessly. I'd love to walk you through a couple of examples that match what you're after. Regards, Ruan111.

@ThamerBaccouch

The tricky part here isn't spotting five same-colour closes, it's getting a dependable 1-minute feed for every regular and OTC pair, since Quotex doesn't publish an official API. My first step would be to capture the candle stream a logged-in session receives, check that asset names and close timestamps match the broker chart, and only then build the alert logic on top of it. Eight years of software engineering, much of it Python bots, Playwright scrapers and production data pipelines that had to run unattended, means the stability side is familiar ground: reconnect on dropped connections, a bounded buffer per asset so memory stays flat, and per-asset dedupe so each qualifying sequence sends exactly one Telegram message. The chart mirror would read from the same in-memory candle store the alert logic uses, so what you see plotted is what the bot saw. Config would be one file for token, chat ID and asset filter, with plain logs and a systemd unit in the setup guide. Thamer

@Snorgletast

Hello — I can help with this scoped request: Telegram Quotex Alert Bot. I am looking for a Python-based solution that sits on a VPS, connects to Quotex in real time, and ke I will confirm the exact inputs and acceptance criteria, complete only the agreed scope, and verify the final artifact against those criteria before delivery. I will identify any missing information rather than inventing it, and I can provide a concise evidence/quality summary with the result. If that approach fits, please share any source files and the required format.