Python Developer Needed for Automated Stock Trading Program

@softsolution2000

I believe my skills in Python, C Programming, Software Architecture, Machine Learning (ML), and C++ Programming make me a great match for the "Python Developer Needed for Automated Stock Trading Program." I am confident in my ability to develop a reliable program that meets your requirements. The budget can be adjusted as we discuss the full project scope. My priority is to deliver quality work within your budget. Please review my 15-year-old profile to see my extensive experience. Let's discuss the job details and get started. I am eager to showcase my commitment to this project. Looking forward to your response.

@kamran2012

Hi, I will build your automated stock trading program in Python for Ubuntu — fetching live Nifty/NSE data, identifying buy opportunities at dips, and executing sell orders when the price hits your profit target. The code will be modular so you can plug in new strategies later without rewriting the core engine. I will integrate it with MSI EdgeXpert for system operations and connectivity. For the buy-low logic, I will start with a mean reversion approach using Bollinger Bands and RSI as entry signals rather than raw price thresholds. This filters out false dips and avoids buying into a sustained downtrend — a common trap with simple price-based triggers. Questions: 1) Which broker API will you use for order execution — Zerodha Kite, Angel One SmartAPI, or another? 2) Do you want the program to run as a background service on a schedule, or trigger trades in real time during market hours? Looking forward to talking through the details. Kamran

@mrresearcher99

Hello Sir, I have 5 years of experience working with Python development. Let's discuss this further. Thanks, Bhargav.

@hotanloc

With my strong background and expertise in Python programming combined with a deep understanding of stock markets, I believe I can deliver the automated stock trading program you're looking for. My knowledge of ML will be a valuable asset in creating the logic for your buying and selling decisions. I am experienced in data prediction for various domains, including the stock market, giving me significant insights for better trading strategies. In addition to my software development skills, I also have hands-on experience with automation and trading systems. I understand how important it is for your program to run seamlessly on an Ubuntu system and integrate with MSI EdgeXpert. You can trust me to deliver a well-structured, modular code that will allow for future upgrades and the addition of new trading strategies. Lastly, it's important to mention that as an entrepreneur myself I know the value of handling client projects with utmost responsibility. You can count on me to meet your requirements while providing consistent communication and updates throughout the project. In short, with my blend of Python development expertise and deep knowledge of finance, AI, automation systems, your project will be in safe hands to maximize your profit potentials! Let's discuss further on how we can make this project successful.

@larsenm2020

As a Python developer with a deep appreciation for learning, I'm constantly seeking out new challenges and acquiring knowledge in different areas. I believe my love for learning aligns perfectly with your project, as I can quickly get up to speed on new topics like the stock market and trading systems. My skills as a Python developer are solid, and I've been commended for my ability to produce modular code that's flexible for future improvements. Given that your project requires use of Ubuntu and integration with MSI EdgeXpert, my experience working with Linux-based systems should come in handy. Although not explicitly listed, my understanding of AI and machine learning may prove especially valuable when executing buying and selling strategies. I am eager to employ these skills in your project while assuring quality output that meets your expectation. With me as your freelancer, you will have a reliable program capable of automatically identifying favorable market opportunities to maximize your profit.

@prashanpatel557

Hello, I can build your automated stock trading program (Python, Ubuntu-ready) with modular design, simple strategy logic, and future scalability. Approach: 1. System Architecture • Python-based engine • Modular structure: • Easy to extend with new strategies 2. Market Data Integration • NSE/Nifty data via API (Upstox / Zerodha / free sources) • Real-time or interval-based updates • Clean data pipeline for strategy use 3. Strategy Logic (Buy Low / Sell High) • Rule-based core (stable & practical): – Price dips (EMA / support-based) → Buy – Target / reversal → Sell 4. Automation Engine • Fully automatic execution • Minimal manual input • Config file for symbols, capital, thresholds 5. MSI EdgeXpert Integration • Connect Python service with EdgeXpert APIs • Handle data ingestion + execution triggers 6. Risk Management • Stop-loss + target • Max trades/day • Capital allocation control 7. Deployment & Reliability • Runs as background service on Ubuntu • Logging (CSV/JSON) + error handling • Auto-restart support Deliverables: • Complete Python code • Strategy + automation engine • EdgeXpert integration • README + setup steps Timeline: 7–10 days I have experience in Python automation, trading systems, and real-time data handling, so the solution will be practical and upgradeable. Question: Do you want real trading execution from Day 1, or start with paper trading to validate the strategy first?

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@ffulb

Your automated NSE trading program needs real-time price monitoring, buy/sell logic, and Ubuntu integration with MSI EdgeXpert. I'll build this using Python with modular architecture so you can easily add new strategies later. I built something similar - an algorithmic trading bot that handles automated PnL tracking and risk management through API integration. Also created a price aggregation engine that monitors 800+ products for price changes, which translates well to stock monitoring. You can see my automation work at ffulb.com. Once you share your NSE API credentials and MSI EdgeXpert setup details, I can assess the integration requirements and start building. Should be straightforward but want to verify the data feeds first. Ready to begin this week.

@bagdenavdeep

Have read your requirement. If you have a strategy of your own and would like to implement it, I can help you in that. But I cannot provide you with a strategy with machine learning to be practical, if I had a profitable strategy I wouldn't be here for projects. With 9 years of experience in software development and building numerous crypto and indian stock exchange bots, I can create the automated bot for your existing strategy. You can check my profile for the projects I have successfully completed. Feel free to share your views.

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel I can deliver any project in Trading. Readymade setups for Python available

@CyberSasu

Amidst an ocean of talented developers, what sets me apart stands to specifically address the specifications in the project description. After reading through, I couldn't help but notice how perfectly aligned your requirements are with my skills and experiences. In addition to being highly proficient in Python, I have solid understanding of stock market dynamics which is critical for analyzing and identifying opportunities. On top of that, my background in AI and machine learning is a valuable asset when it comes to developing automated trading systems. Over the years, I have also garnered quite a lot of experience developing on Ubuntu/linux system which will come in handy in ensuring smooth compatibility with MSI EdgeXpert. My coding style is modular which allows for seamless iteration and update in algorithms without affecting overall functioning. My ultimate goal is to deliver a reliable program that doesn't just execute buy and sell orders but also adopts dynamic strategies depending on ever-evolving market scenarios. By hiring me, you'll be getting not just an exceptional Python developer who can navigate stock market data with ease, but also someone who is dedicated to offering long-term solutions for the project's future growth. I look forward to our potential collaboration in creating a truly productive endeavor!

@omprakash1907

Hi, I can help you build a modular Python-based trading system that runs reliably on Ubuntu and supports future scalability. I have experience with backend logic, automation, and API integrations, and I understand how to structure systems for data-driven decision making. Approach: Data Fetching: Integrate with NSE/Nifty data sources (APIs like Zerodha Kite, Yahoo Finance, or similar) to stream or poll live prices. Trading Logic: Implement rule-based strategies (e.g., moving averages, RSI, price dips) to identify buy-low and sell-high opportunities. Keep logic modular so new strategies can be added easily. Automation: Fully automated execution loop with configurable parameters and minimal manual input. System Design: Clean, modular Python architecture (separate modules for data, strategy, execution, logging). Logging and error handling for reliability. MSI EdgeXpert Integration: Connect for device/system communication and data flow as required. AI/ML (Optional Enhancement): Add predictive models later (price trend forecasting, anomaly detection). Ubuntu Compatibility: Setup scripts, environment config, and background service (cron/systemd). Important Note: For live trading, broker API integration and risk controls (stop-loss, limits) will be essential to avoid losses. I can start immediately and build an initial working version, then iterate with improved strategies. Let’s discuss your preferred data source and trading platform.

@tejbirbhatia

Hi there! I noticed your need for a Python developer to create an automated stock trading program running on Ubuntu, specifically tracking Nifty/NSE stock prices. I have extensive experience in Python development and automation, with a solid understanding of the stock market. In a similar project, I developed a program for a financial services client that automated data analysis processes, resulting in increased efficiency and accuracy. Could you provide more details on the specific requirements for integrating with MSI EdgeXpert and any preferred AI or machine learning techniques for stock analysis? Understanding these aspects will help in crafting a tailored solution for your automated trading program. Looking forward to discussing this exciting project further! Thanks, Tejbir Bhatia

@DrJagadeeswari

Hello, I can help you build a modular Python-based automated trading system for NSE/Nifty that runs reliably on Ubuntu. I have experience in Python automation, API integration, and data-driven systems, including work on algorithmic trading workflows and structured data pipelines. Built an automated, python based swing options algo model. Approach: • Fetch live stock data (NSE APIs or broker APIs) • Implement rule-based strategy for buy-low / sell-high logic (configurable) • Build modular architecture for easy upgrades (new strategies, ML later) • Integrate with MSI EdgeXpert for system connectivity • Ensure smooth Ubuntu deployment and automation Features: ✔ Automated execution with minimal manual input ✔ Clean, modular Python code ✔ Configurable parameters (risk, thresholds, timing) ✔ Logging and basic performance tracking I will focus on building a reliable and extensible system first, with scope to add advanced strategies or ML later. Happy to discuss your preferred trading logic before starting. Best regards, Revathi

@Sadiyasyeda24

I saw your project and am confident I can deliver on this. I'm currently working on a similar project and can develop a Python program to automate stock trading, running on Ubuntu. By integrating with MSI EdgeXpert, tracking stock prices, and utilizing AI, I ensure the program identifies opportunities to buy low and sell high automatically. This solution aligns perfectly with your goal of creating a reliable trading system. I invite you to view my portfolio, which showcases the quality and results of my past work. I look forward to hearing from you. Regards, Sadiya

@aurvixlabs

Building a reliable, automated Python trading system for NSE that runs on Ubuntu and integrates with MSI EdgeXpert requires robust data pipelines and precise logic to avoid common latency and reliability pitfalls. In my PolyGNN project, I engineered a production-grade AI model for predictive analytics, using Python, FastAPI, and modular architecture for seamless upgrades—the same approach ensures your system is maintainable. My AWS ML certification and skills in Python, API development, and Ubuntu are a direct match. I'd approach this in two clear phases: first the core data and integration, then the trading logic and deployment. To tailor the strategy: what are your primary indicators for a 'good opportunity'—is it purely price-based, or do you want to incorporate technical analysis signals?

@Ashoksahu001

Hi, This is a solid use case for a Python-based automation system, and I can help you build a clean, modular trading program that runs reliably on Ubuntu. I have 7+ years of experience with Python, automation, and API-based systems, and I understand how to translate trading logic into testable, scalable code. Approach (short): Fetch real-time NSE/Nifty data via APIs Implement rule-based strategy (buy low / sell high with risk controls) Add backtesting logic to validate performance Integrate with MSI EdgeXpert for system-level operations Build modular architecture for future strategy upgrades Ensure stable execution on Ubuntu (cron/jobs or daemon-based) I’ll focus on making the system reliable, extensible, and easy to monitor, not just functional. Quick question: Do you already have a trading API/broker in mind for order execution, or should I recommend options? Happy to discuss and get started.

@snehaexe

Hello, I would love to assist with developing your automated Python-based stock trading program for the Ubuntu environment. I have strong experience in Python development, automation workflows, and building modular systems that are easy to scale and maintain. I also have a solid understanding of stock market fundamentals and can design logic that monitors Nifty / NSE price movements, identifies buying opportunities at lower price points, and automatically triggers sell conditions once the target profit threshold is reached. For this project, I can help build a reliable and clean solution that includes: Real-time stock price tracking for Nifty / NSE instruments Automated buy-low / sell-high strategy logic Minimal manual intervention with configurable thresholds and safeguards Modular Python architecture for future upgrades and additional strategies Ubuntu/Linux compatible deployment Integration with MSI EdgeXpert for system operations and connectivity Optional AI / ML-based signal enhancement for smarter entry and exit decisions

@techmadigital

Hello! I've already Developed Nifty Trading Bot with Zerodha API with Deep back testing. Let's connect. I've something great to show you.