Pocket Option SMS Signal Bot Winning bot, your own strategy that wins

@starttechno

Pocket Option SMS Signal Bot is a good fit for my Python automation and API integration experience. I’ll build a compact service that evaluates price trends, configurable technical indicators, and live news sentiment together on a strict five-minute scheduler. The indicator engine will be modular, using pandas and ta so thresholds, symbols, sessions, and alignment rules can be changed through JSON or YAML without modifying core code. For Pocket Option, I’ll use an available API where permitted; otherwise I’ll implement the safest compliant web-automation approach and keep the broker adapter isolated for future changes. News headlines or sentiment scores can be obtained through a lightweight feed parser and included in the signal decision. Twilio will handle SMS delivery, with retries, rate-limit handling, logging, and a controlled fallback path for temporary gateway failures. You’ll receive documented Python source, environment-variable setup, Dockerfile or one-click VPS deployment, real-time logs, and a test log showing five-minute scans plus a mocked alignment that triggers an SMS. I’ll also include a README explaining strategy configuration and deployment. Do you already have Pocket Option access details or a preferred news feed for the initial configuration? Muhammad Saad

@anirudhat

An alert bot that never places trades is the sensible design here, and the honest technical point is that Pocket Option has no public API — so I'd pull price data from a reliable market feed rather than depend on scraping their platform, which breaks the moment they change their frontend. Build would be Python: a scheduler running the five-minute loop, a modular indicator engine where each indicator is a small plug-in class you can swap or retune from the config, a news parser producing a directional sentiment score, and an alignment check that only fires when all three agree. SMS goes through Twilio with retry, rate-limit backoff and a fallback channel so alerts don't silently vanish. You get YAML config for thresholds, symbols, sessions and numbers, plus a Dockerfile, README and a test log showing mocked alignment triggering a real SMS. I can start immediately.

@hiberokpars

Hi! I have experience building real-time market monitoring systems, WebSocket integrations, automation and notification services. I can build this as a modular Node.js bot with configurable indicators and strategy rules, a news input, five-minute scheduled checks, and reliable SMS delivery through Twilio. Configuration can be kept in JSON/YAML, with Docker deployment for a VPS and clear logs/testing. For Pocket Option, I would first verify the available integration method and platform requirements, then choose the most reliable approach between an available API/WebSocket interface and browser automation.

@naminghn

Hi there, I can develop a compact trading bot that integrates directly with Pocket Option and monitors your specified criteria. Utilizing Python, I’ll ensure it checks price trends, technical indicators, and live market news, providing you with reliable SMS alerts via Twilio upon alignment. I will also create a modular indicator engine for future adjustments and a JSON or YAML configuration file for easy parameter modifications. We’ll include fully documented source code, a README for installation guidance, and a one-click deploy script to get you up and running efficiently. Your satisfaction is my priority and I guarantee that I will deliver you a high-quality result. Regards, Ali

@krupnovdenis

Hello! We can build a compact bot for your Pocket Option strategy and SMS alerts. 1. Do you prefer direct API integration or browser automation for Pocket Option? 2. Which indicators and news sources should drive the alignment check? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@maxscender

I can help you build this. The core challenge isn't just connecting services—it's engineering a reliable decision engine that won't send false signals when three disparate data sources disagree. My approach prioritizes architecture over feature bloat: a modular Python core where the indicator engine, news parser, and Pocket Option connector operate as isolated services communicating through a simple message bus. This lets you swap strategies or add data sources without touching other components. For Pocket Option, I'll use their WebSocket API for real-time pricing (more stable than DOM scraping), with a fallback to REST polling. The indicator engine will be parameter-driven—pure functions fed by config values, so tweaking RSI thresholds or EMA periods never requires code changes. The news parser filters by symbol and sentiment, ignoring noise that doesn't meet your confidence threshold. SMS delivery will use Twilio with a provider-agnostic abstraction layer—if one gateway rate-limits, the bot automatically routes through a secondary provider. The five-minute loop is watchdog-monitored; failed cycles trigger immediate diagnostic logging rather than silent failure. The config file will be a single YAML where every behavior—sessions, thresholds, symbols, phone numbers—is declared. The Dockerfile will include health checks and auto-restart policies. You'll get a test harness that simulates market conditions and verifies SMS delivery end-to-end before live deployment.

@Jennycreation

hello sir , i have 17 year experience tech industry i already work on many Cryptocurrency trading system . i can show you demo also and can do as per your requirement. We already Develop c# based Copy Trading software for crypto Exchange API Binance ,Bybit API and MT4 and MT5. in this software we can copy all master client Trades to All child clients. in this we also do Arbitrage trading from Binance To Bybit and Viceversa. software will use the official Binance And Bybit API. i can show demo for you. let me know your response. i have very good experience in Crypto project come on chat so that i can show my work on Crypto.. i can start work from right now i already built trading platform where i use Zerodha/Alice blue/Angel/Profitmart api for trading order, buy/sell, square off possition /margin etc feature. we also did automated trading using amibroker csv file. let me know i can show you demo. I already built trading view pine script for Forex market in this we implement many indicator and complex strategy. in pine script we also set alert for live trading using webbook Api. so our pine script do automation trading. I already work on mt5 and mt4 EA system also. where we build many strategy based on many indicator and already work on Forex Crypto Copy trading strategy

@slavkom1

Hi there, Pocket Option SMS Signal Bot needs a small, reliable service that checks price trends, your indicator rules, and live news on a strict 5-minute loop. The auth part might be annoying here, so I’ll prioritize the safest Pocket Option API path; if they don’t offer it, I’ll use cautious web automation that stays within their terms. I’ve built bots around modular decision logic, so you can swap indicators without touching the main loop. I’ll wire in C indicators logic in the indicator engine layer style, keep the decision rules in config (JSON/YAML), and push alerts via Twilio/Nexmo with retries and rate-limit fallback. You’ll get documented Python source, a README, and a Dockerfile for VPS deploy, plus a test log showing interval scans and mocked SMS delivery. Slavko

@toriquldev123

Hello There! I’m Md Toriqul Islam, an experienced Python/full-stack developer with 10+ years of experience building automation tools, API integrations, and real-time monitoring systems. I understand you need a modular Pocket Option monitoring bot that checks price trends, configurable indicators, and live news every five minutes, then sends reliable SMS alerts when all conditions align. I am skilled in Python, API/web automation, technical indicators, news APIs, JSON/YAML configuration, Twilio, Docker, VPS deployment, and logging. I’ll build the strategy engine modularly, use an integration approach compliant with Pocket Option’s terms, and include retry/fallback handling, mocked tests, documentation, and deployment instructions. I’m ready to start immediately and would be happy to discuss your exact indicator and news conditions. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@FizzaNadeemK

Hi, You’ll get a compact, configurable alert bot that checks price action, technical indicators and live news every five minutes, then sends reliable SMS alerts only when your defined conditions align. I understand Pocket Option integration must use an API or web automation that complies with its terms, with modular indicators, news sentiment, Twilio or similar SMS delivery, JSON or YAML settings, VPS deployment and mocked test evidence. I’ll separate data collection, strategy validation and notification handling so future strategy changes stay simple. Does Pocket Option provide API access for your account, or should I design around compliant web automation? Best Regards, Fizza Nadeem K

@arslanshahid386

Hi, I can help with Pocket Option SMS Signal Bot Winning bot, your own strategy that wins. My relevant stack for this is PHP. I will clarify scope first, implement cleanly, and keep you updated until delivery. Thanks, Arslan Shahid

@muneeb6767

Hi, I can build your Python trading-alert bot with modular indicators, market-news analysis, five-minute strategy checks, configurable JSON/YAML settings, Pocket Option integration, and reliable Twilio SMS alerts with fallback handling. I’ll provide documented source, Docker/VPS deployment, mocked alignment testing, and logs proving the complete alert workflow.

@AndrewJSMAN

I’ve built bots that ingest live market data, compute technical indicators in real time, and push alerts via Twilio—most recently for a forex scalper with a similar five-minute loop and news sentiment feed. For Pocket Option, I’ll use their public REST API for price data, pandas-ta for indicators (modular so you can swap RSI/MA/ATR later), and NewsAPI with a lightweight sentiment scorer to parse headlines. SMS will route through Twilio with exponential backoff retries and an outbound queue to handle rate limits; config lives in a single YAML file for thresholds, symbols, and phone numbers. The core loop runs in asyncio to avoid drift, logs every checkpoint to stdout, and ships in a multi-stage Dockerfile with health checks for uptime. Test harness will mock alignment via pytest fixtures and generate a timestamped log proving the five-minute cadence and SMS dispatch. I can start immediately. Thanks, Andrii.

@shakilan4

Hi, I can build this Python-based alert bot with a modular indicator engine, market/news analysis, 5-minute scheduling, SMS alerts, configurable JSON/YAML settings, and Docker/VPS deployment. I’ll keep Pocket Option integration compliant with its available API/automation options and include mocked tests proving the alignment and SMS workflow. Best Regards, Shakila Naz

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@pasion0128

★•══•★ Hi client ★•══•★ I’m ready to build you a compact, reliable trading bot that hooks into Pocket Option and keeps an eye on price trends, technical indicators, and live news—all running smoothly every five minutes. I’ll make sure it’s easy to tweak with a modular indicator setup and lightweight news parsing, so you can swap things out without breaking a sweat. For SMS alerts, I’ll integrate Twilio or Nexmo with smart fallback handling to keep your messages flowing no matter what. The config will be simple JSON or YAML for quick edits on thresholds, symbols, and phone numbers. You’ll get clean, documented Python code, a clear README or video guide for setup, plus a Dockerfile for easy VPS deployment. I’ll also provide test logs showing the bot working like a charm on schedule with real SMS alerts. Have you worked with any specific indicators or news sources before? That way I can tailor the setup exactly how you want. Best regards, Rico

@ImranAli01

Hello, I got that you need a compact Python trading bot that connects to Pocket Option, monitors price trends, technical indicators, and live news on a fixed five-minute cycle, then sends an SMS when all conditions align. This is what I can help you with, let's chat. My approach is to build a modular Python architecture separating market data, indicators, news parsing, strategy logic, and Twilio SMS delivery. I will first verify the safest Pocket Option integration method permitted by its terms. Strategy thresholds, symbols, sessions, indicators, and phone numbers will remain configurable through JSON/YAML without changing code. The engine will log every five-minute scan, validate all three signal groups before alerting, and include retry handling for API or SMS failures. Mocked market data will prove the alignment and notification flow before deployment. As final deliverables you will receive documented Python source, Pocket Option integration, modular indicator and news engines, Twilio SMS alerts, JSON/YAML configuration, logging, error handling, README or video walkthrough, Dockerfile or VPS deployment script, and test logs showing five-minute scans and a mocked SMS trigger. One thing I'd like to confirm before we start: do you already have the exact indicators, thresholds, symbols, news conditions, and direction rules? Let's discuss the strategy and access method, then I can finalize the build plan. Best Regards, Imran

@ianb65

Hi there, The bot is missing a clean alignment layer across price, indicators, and news, which is why it won’t stay reliable. I have strong expertise in Python, Software Architecture, Software Development, and Automation, and I can build this as a compact Dockerized service with a modular indicator engine, JSON config, five-minute scheduler, news parser, and resilient SMS alerts through a dependable gateway with fallback handling. Best regards, Ian

@demivision

Hi there, Thank you for sharing the detailed requirements for your Pocket Option SMS Signal Bot project. I’m excited by the challenge and confident I can deliver a robust, modular solution tailored to your strategy. Your need for real-time monitoring across price trends, technical indicators, and live news—followed by immediate SMS alerts—aligns closely with my background in trading automation and API integrations. I’ve built similar bots for platforms like IQ Option and MetaTrader, where reliable, low-latency notifications and modular strategy logic were critical. My experience includes hands-on work with broker APIs, web automation (using Selenium and Playwright), as well as integrating SMS gateways like Twilio and Nexmo with fallback logic for maximum reliability. For this project, I propose a Python-based solution due to its extensive support for trading APIs, technical analysis libraries (TA-Lib, pandas-ta), and news scraping (newsapi, RSS parsing). The bot will use a modular indicator engine—allowing you to easily swap or tweak technical indicators—and a lightweight parser to pull and analyze news sentiment, feeding all data streams into your alignment logic on a five-minute schedule. Configuration will be handled via a simple JSON or YAML file, making it easy to adjust thresholds, symbols, session times, and notification preferences without code changes. I’ll ensure the code is fully documented, provide a clear README or walk-through, and package everything with a Dockerfile or deploy script for easy VPS setup. You’ll also receive test logs demonstrating scanning intervals and mock SMS alerts to verify end-to-end functionality. Let me know if you have a preferred library or if there are any nuances around Pocket Option’s integration you’d like to discuss. I look forward to helping you automate your trading alerts with precision and reliability!