Python Stock Pattern Detector Bot

@irsolutions

With over a decade of experience in financial data engineering and Python development, I understand your need for a Python Stock Pattern Detector Bot that scans and detects significant downside price movements in historical U.S. stock data. My background in building high-complexity systems, like scaling apps for 1 million users, directly applies to the challenges of creating a configurable bot for your project. For strategic insight, I recommend structuring the tool with modular code architecture to easily replace data providers without rewriting the entire system. My past success includes developing similar financial data tools that processed large historical datasets, showcasing my capability to handle the complexity of this project. I encourage you to reach out to discuss how we can collaborate on building this Python-based tool. Let's ensure a secure and efficient deployment by leveraging my expertise in Python, financial market data APIs, PostgreSQL, and large historical data collection. Let's bring your project to life efficiently and effectively.

@diektech

Hi, This is Elias from Miami. I have gone through your project description and understand you’re looking to build a configurable Python bot that detects stock patterns. This tool will help in analyzing financial data effectively. I have solid experience in Python development and financial data analysis, having worked on similar projects that required deep data processing and algorithm design. To approach this, I’ll start by defining the specific patterns you want the bot to detect. Then, I will develop a modular architecture to ensure configurability, allowing for easy updates or adjustments in the future. I’ll also focus on integrating robust data sources to enhance accuracy. I have a few questions to get a better understanding: Q1 – What specific stock patterns are you looking to detect? Q2 – Will the bot need to integrate with any existing trading platforms or APIs? Q3 – How do you envision the configuration options for the bot? I’d be happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Configurable Python Bot for Stock Price Drop Detection ❇️ Hi My Friend, I hope you're doing well. I just checked your project requirements and see you are looking for an experienced Python developer to build a financial data tool. Look no further; Zohaib is here to help you! My team has completed 50+ similar projects focused on financial data analysis. I will create a bot that scans U.S. stock data, detects price drops, and builds a structured database based on configurable rules, all within your budget. ➡️ Why Me? I can easily do your project as I have 5 years of experience in Python development, financial market data APIs, and data engineering. My expertise includes working with historical OHLCV data, intraday data processing, and PostgreSQL. I also have strong skills in stock screeners and quantitative research tools. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work that highlight my capabilities. Looking forward to connecting with you! ➡️ Skills & Experience: ✅ Python Development ✅ Financial Market Data APIs ✅ Historical OHLCV Data ✅ Intraday Data Processing ✅ PostgreSQL ✅ Data Engineering ✅ Stock Screeners ✅ Financial Dashboards ✅ Quantitative Research Tools ✅ Chart Generation ✅ Data Exporting (CSV, JSON, Excel) ✅ Modular Code Structure Waiting for your response! Best Regards, Zohaib

@Vasilchenko

Hi, I can build this Python-based stock price drop scanner as a configurable research/data-collection tool, including historical OHLCV ingestion, market-cap filters, drop-event detection rules, PostgreSQL storage, deduplication, exports, logging, and optional chart snapshot generation. I have experience with Python financial-market analysis, trading-model research, dashboards, and data pipelines, and I can structure the code so providers such as Polygon/Massive, Financial Modeling Prep, or Intrinio can be configured through environment variables and replaced later if needed. Deliverables would include the scanner, YAML/JSON configuration, database schema, CSV/Excel/JSON/Parquet exports, chart images linked to event records, documentation, and an example output dataset with detected historical events. Could you confirm which market data API subscriptions you already have available for historical intraday data? https://www.freelancer.com/u/Vasilchenko

@Mahihassi

With a versatile team specializing in full-stack development and AI-powered systems like ours at MHTechFusion, I ensure you of an exemplary execution for your project. We've got an impressive skill set that aligns perfectly with your Python Stock Pattern Detector Bot needs; encompassing comprehensive experience in Python, financial market data APIs, PostgreSQL, data engineering, quantitative research tools, stock screeners, and more. Similar to the project's objective, we've built and deployed intricate yet efficient financial data tools over the years. One notable project is our development of a comprehensive stock scanner and screener using Python backed by a PostgreSQL database. This tool catered to various scenarios similar to your requirements where we were able to effectively analyze historical stock data for significant price drops using customizable parameters. We understand the importance of project robustness without losing on the flexibility. My team's expertise in building configurable systems reflects in our past projects as well. We've created highly adaptable solutions where users could effortlessly modify thresholds and filters atop without modifying the core code. Armed with this same dexterity and passion for delivering quality work, we are confident about making your Python Stock Pattern Detector Bot truly tailored to your needs while ensuring complete functionality.

@OscarMozo

Hi, I can help you with this. I am a developer with extensive experience with automations and integrations. I've helped clients with similar projects. Let me know your interest, Sincerely, Nicolas

@Hubready

Hello! I am a Florida-based senior software engineer with extensive experience in Python, data processing, and financial analysis. I've read your project description carefully and I'm excited about the opportunity to build a configurable stock pattern detector bot for you. With over 15 years in the field, I bring a solid technical foundation and an understanding of financial systems. To ensure I align with your vision, could you please clarify the following questions to help me better understand the project? 1. What specific stock patterns are you looking to detect with the bot? 2. Are there any particular data sources or APIs you prefer for financial data? 3. What are your expectations regarding the bot's configurability and user interface? My approach would involve defining the key requirements, designing a robust architecture, and implementing the bot with thorough testing for accuracy. I also have experience in building similar applications and can share examples if needed. I’m dedicated to delivering a solution that meets your needs while ensuring it's practical and maintainable. Let’s chat further to discuss how I can bring this project to life. Looking forward to your response! -James

@daxm0

Hi, The goal of this project is to build a Python-based tool that scans historical U.S. stock data to detect significant downside price movements. The real problem lies in efficiently processing and analyzing large volumes of financial data to identify specific events based on configurable rules. My solution involves leveraging Python, PostgreSQL, and data processing techniques to create a scalable system that can scan up to 10 years of historical stock data and pinpoint price drop events accurately. With over 6 years of experience in Python, financial data engineering, and building stock screeners, I have successfully developed similar tools that have streamlined data collection and analysis processes, resulting in actionable insights for clients. I hold the certification for Senior Full-Stack & AI Automation Engineer, validating my expertise in this domain. I am confident that my skills and experience make me the ideal candidate for this project. I have a few questions about the project and would like to discuss further details via chat. My time zone is flexible, so I can easily work around yours. Cheer, Dax.M

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi there, thank you for sharing your detailed project brief. I can build your historical stock price drop data collector using Python, PostgreSQL, and financial data APIs with a comprehensive and scalable design. I will deliver: • Python-based tool for scanning historical stock data • Configurable detection rules for price drop events • Support for filtering by market cap category • Fully configurable system for threshold adjustments • Saving detailed data for each detected event • Chart snapshot generation using Matplotlib, Plotly, or other reliable libraries • Secure storage in PostgreSQL with export options • Optional Streamlit dashboard for data visualization You will also receive documentation, support, and a clean source code repository. I am confident in executing your vision efficiently and professionally. Looking forward to discussing further steps. Best regards, Chirag.

@alizain721

I can build the configurable Python scanner you described to scan up to 10 years of U.S. OHLCV (including intraday) and reliably flag configurable 10%+ drops across daily, 1h, 30m, 10m and 5m timeframes. The harder parts aren’t the percentage rules — it’s normalizing large intraday feeds, handling timezones/exchange sessions, and deduplicating the same event seen on multiple timeframes while preserving exact event times and volume context. I recently built a small-cap gap/down detector that ingested Polygon and FMP data, wrote events to PostgreSQL, generated mplfinance candlestick PNGs, and produced CSV/Parquet exports for downstream research — that project maps almost exactly to this scope. My approach: adapter-based ingestion (swap Polygon/FMP/Intrinio easily), normalize to a single schema, compute rolling stats (20-day volume), run configurable detection rules, save events with dedupe logic and optional chart generation, plus YAML config and export endpoints. I’ll include example output (100+ events) and docs. Quick question: do you want all US exchanges included by default or a specific exchange list, and which API keys (Polygon/FMP/Intrinio) do you already have? My bid: $1,125.

@akkiwadhwa1995

Hi, I can build a robust, configurable Python-based scanner to detect historical downside events across U.S. equities, exactly as outlined. Approach: Modular pipeline: data ingestion → event detection → storage → export Data sources: Polygon (OHLCV/intraday) + Financial Modeling Prep (fundamentals) Config-driven rules (YAML): drop %, volume spikes, timeframe, market cap filters Efficient processing using Pandas/Polars for large 10-year datasets Core System: Event detection engine (gap-down, intraday drop, red candles, volume anomalies) PostgreSQL schema with deduplication (companies, events, runs) Chart generation (mplfinance/Plotly) with 5-min candles + volume Return tracking (1/2/3 day forward performance) Exports: CSV, Excel, JSON, Parquet, SQLite, PostgreSQL, ZIP (with charts) Fully filterable by ticker, date, cap category, drop %, timeframe Extras: Optional Streamlit dashboard for filtering + exports Secure API handling via env variables Clean logging + reproducible runs I’ve built large-scale scraping and data pipelines with structured datasets and analytics layers, so this will be scalable, accurate, and easy to extend. Ready to start with a working prototype and sample events quickly.

@carlosd178

Hola, Tras una revisión detallada de los requisitos de tu proyecto, entiendo completamente el alcance y las expectativas. He trabajado en bots web/WhatsApp similares y puedo comenzar de inmediato. Aporto sólida experiencia en AI Chatbot Development, WhatsApp Business API, WordPress, Dialogflow/Botpress, NLP, API Integration, PHP y HTML con más de 10 años de experiencia. Uno de los puntos clave aquí es crear un bot simple, claro y fácil de mantener, que responda en español e inglés sobre horarios, ubicación y datos de contacto sin complicar la experiencia del paciente. Puedo configurar la plataforma, diseñar las intenciones y respuestas, integrar el bot en WordPress y WhatsApp Business, hacer pruebas básicas y entregar una guía rápida para que tu equipo pueda actualizar textos o añadir nuevas preguntas después. Tengo un par de preguntas rápidas. • ¿Ya tienes WhatsApp Business API activa o necesitas ayuda con la configuración? • ¿Prefieres Dialogflow, Botpress, ManyChat, o estás abierto a mi recomendación? Quedo atento para comentar más detalles y avanzar de inmediato. Saludos, Carlos.

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have developed several Python-based financial data tools that scan historical stock data to detect critical market events, leveraging APIs and scalable databases to deliver insights smoothly. The most important part to successfully complete this project is designing a highly modular system that allows seamless configuration changes without core code alteration. Approach: ⭕ Build a robust Python scanner to process up to 10 years of OHLCV data from reliable sources like Polygon.io. ⭕ Design a normalized PostgreSQL database with deduplication and scalable schema. ⭕ Implement configurable detection rules and market cap filters using YAML/JSON. ⭕ Create a chart snapshot generator using mplfinance for candlestick and volume visualization. ⭕ Develop export functionalities across CSV, Excel, JSON, Parquet, and database formats. ⭕ Ensure secure API key management and clean error handling. ❓ Do you have a preferred data provider API key set ready for integration? ❓ Would you like the initial version of the dashboard built with Streamlit, or reserved for a later phase? ❓ Are there any particular alerting or notification features required for detected events? I am confident in delivering a clean, extensible, and well-documented solution that meets your detailed requirements and supports future scalability. Looking forward to collaborating with you. Best regards, Nam

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Also, we are a team of professional workers, and we are always available 24/7 to help employers without limitations, and delivery is guaranteed on time. Your faithfully. Eng. Alema Akter

@haseebsidd07

Hey , I just finished reading the job description and I see you are looking for someone experienced in Financial Analysis, Data Processing, PHP, Python, MySQL, Java, Computer Vision, Data Analysis, Software Architecture and Data Science. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am- 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Abdul Haseeb Siddiqui

@julianm343

Hello. I am a Software Engineer with 14 years of rich experience, I can successfully help you with any project associated to it. My deep expertise in Python-based data engineering and financial market APIs allowed me to architect highly configurable and scalable stock detection systems that handle large historical datasets with precision and flexibility. I would appreciate the chance to discuss the project in more detail. Best regards. Julian