Python Software product for Indian Stock Market -- 2

@GameOfWords

Python Software product for Indian Stock Market -- 2 I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@AliGhazanfar2

Hi, Lets get connect over a chat. I have more than 9 years of experience in building custom platforms in python. I will walk through to my work samples as well. I am online right now. Thanks Ali

@salesapple

You are building a serious trading platform, not a simple script. I can develop a modular Python and PyQt5 based system with real time data, strategy engine and broker execution. The architecture will be clean, scalable and maintainable. I have strong experience in Python trading systems, API integration and backtesting frameworks. I can structure each module independently data ingestion, GUI charting, strategy engine, LSTM and ARIMA prediction layer, risk management and broker order execution. Strategies can run as separate Python files and be combined dynamically. I also understand Indian market instruments including equity and options workflow. Clean documentation and one year maintenance support can be included. One question, which data feed and broker API are you currently using for live and order execution? Regards, Verma

@prashanpatel557

Hello, I can develop your modular Python + PyQt5 trading application tailored for Indian equities and options, with clean separation between data, strategy, prediction, execution, and risk layers. Proposed Architecture Module 1 – Data Engine • WebSocket-based real-time ingestion • Async buffering + failover handling • Unified data adapter layer Module 2 – PyQt5 GUI • Lightweight charting • Strategy status panel • Start/Stop auto-run control • Modular layout Module 3 – Strategy Engine • Each strategy as isolated Python class • Multi-strategy orchestration • Signal aggregator logic Module 4 – Prediction Layer • LSTM + ARIMA models • Feature engineering pipeline • Offline training + live inference Module 5 – Backtesting Engine • Event-driven simulation • Slippage + brokerage modeling • Equity curve & metrics Module 6 – Risk Engine • Capital allocation • Max DD guard • Exposure caps Module 7 – Broker Integration • Order routing adapter • Execution reconciliation • Logging & retry logic Deliverables include full source code, structured documentation, and 1-year maintenance support. I have experience building trading engines with modular architecture and broker API integrations. Ready to review detailed specs.

@SquikyYT

Hi, went through your post and found that I fit for the project description. As it is written that you are looking for a skilled python developer with experience in trading api handling. I have previously worked on projects with integration of capital api. So I'm sure that with my experience in that I'll be able to complete this project. So let's talk more in DM.

@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.

@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

@shahnaitik

Hello there, I carefully review your project details and attachments with 10+ years of extensive experience in Python-based systems, real-time data processing, API integrations, and strategy-driven trading platforms. Given your requirement for a modular Python + PyQt5 desktop application for the Indian equity and options market, this aligns very closely with my background in developing algo trading, backtesting engines, broker integrations, and analytics-driven systems. You can check my profile: https://www.freelancer.com/u/shahnaitik I have previously worked on Indian market-focused systems (NSE/BSE derivatives included), including algo trading engines, backtesting platforms, and API-driven order execution systems. I understand that this is not a low-budget project but a technically demanding product requiring clean architecture, documentation, scalability, and 1-year maintenance support — which I am fully prepared to provide. I can also share relevant screenshots and technical references from past trading platform projects during our discussion. I would love to show you a quick demo or walk you through similar work I have done. I am confident that it is the right fit for your work. Let’s discuss this over a call, and I can contribute to the success of your projects. Regards, Naitik S.

@Hemantt841

I understand you require a Python and PyQt5 application tailored for the Indian stock market, focusing on equity and options trading with modules for real-time data feeds, strategy integration, and broker connectivity. Your need for a GUI similar to Amibroker or TradingView with limited features, plus prediction models like LSTM and ARIMA, shows a clear vision for a comprehensive yet manageable trading tool. With over 15 years of experience and more than 200 projects completed, I specialize in Python development and API integration, which aligns well with your requirement for handling data feed and broker APIs. My background in software architecture ensures the modular design you need, enabling seamless strategy combination and a robust backtesting environment. I propose building the application with a clean modular architecture using PyQt5 for the interface and Python for backend logic, integrating your provided APIs for data and trading execution. The development will include thorough documentation and a maintenance plan for one year. A realistic timeline would be around 3-4 months to deliver a stable, tested product with all requested features. Let’s discuss your specific needs further to ensure the application meets your expectations precisely.

@mindmagic1

Hello, I am a Python developer with significant experience in developing financial applications using PyQt5. I have worked on similar projects in the past, including developing trading platforms and backtesting systems, and I’m confident that I can help build the solution you are looking for. I understand that the Indian stock market has specific requirements, and I am familiar with the key indices and trading mechanics in the region. I also have experience with creating documentation and ensuring the software follows your guidelines. Previous Experience: I’ve worked on several trading applications and have previously created custom Python-based platforms for equity, options, and forex trading. I will provide screenshots of previous work as requested. Maintenance: I will provide 1-year maintenance and am open to future extensions based on your needs. Let me know if you'd like to discuss the technical details further and share your specifications. I look forward to helping you build this project! Best regards,

@usamaansari786

Hi there, I will develop your Indian stock market trading application using Python and PyQt5 right away to ensure high speed execution for equity and options. Since you need a professional system with LSTM/ARIMA predictions and multi strategy integration, I will focus on a stable, high performance architecture that combines your provided APIs and strategy logic into a single, clean interface. I’ll build a modular GUI with limited charting, a robust risk management layer, and a backtesting engine to ensure every trade is safe and data-driven. I will integrate your data feed and broker APIs to handle real-time execution while ensuring the LSTM and ARIMA modules provide accurate market predictions. This includes a flexible strategy manager where you can combine multiple Python files, followed by one year of full maintenance to keep the system updated with market changes. I provide detailed documentation and clean source code so you have total control and a clear understanding of the entire trading ecosystem.. Q) For the real-time data feed, do you want the charting to be tick by tick for high frequency scalp trading, or is a 1 minute candle refresh sufficient for your strategies? I am ready to start today. Please share your specific guidelines so I can review the API details and begin the architecture setup! Best Regards, Usama F

@mahads31

With over a decade of experience leading my talented team at Prime Code Tech, I'm confident that we are the right choice for your project. Our proficiency in Python and PyQt5, as well as our in-depth understanding of developing trading software, make us well-equipped for creating an innovative and comprehensive solution for the Indian stock market. We have ample experience with API integration, essential for fetching real-time data crucial to your application. Understanding the unique intricacies of the Indian share and stock market is something we pride ourselves on. Our previous work in creating APIs, implementing strategy codes, utilizing LSTM and ARIMA models for prediction, facilitating backtesting modules - showcases our capabilities to handle every module desired in your application effectively. Additionally, our risk management module implementation will help ensure user's financial wellbeing. We anticipate receiving your existing code to seamlessly merge them into the final product for you. Maintenance is not just an added service for us - it is a commitment. Our quote already includes one year of maintenance and we are capable of extending it in the future. Partnering with Prime Code Tech guarantees top-notch technical expertise, long-term commitment while being cost-effective. Let’s make a technological difference together!

@monicasynthesis

Hello, I’ve gone through your job description and understand that you’re looking to develop a Python & PyQt5-based trading application for the Indian equity and options market with real-time data integration, strategy engine, ML prediction (LSTM/ARIMA), backtesting, risk management, and broker API execution. With 5+ years of experience in Python development and trading system architecture, I’ve worked on algorithmic trading, API integrations, and backtesting engines with a strong focus on performance and reliability. What I can help you with: • Develop modular architecture (data feed, GUI/charting, strategy engine, ML models, backtesting, risk & order execution) • Integrate broker & data feed APIs and combine multiple strategy files dynamically • Provide complete documentation and 1-year maintenance support Warm regards, Monica Bhatia

@yogeshjoshi9

Hi, As an experienced freelancer with a proven track record in developing intelligent systems and dynamic applications, I believe I am the ideal candidate for your Python software project in the Indian stock market. Not only do I have a profound understanding of the Indian stock market and its indices crucial for your task but also the proficiency in Python and PyQt5 that's required to build your modules, using your given code. With my expertise in API creation, I can assure smooth real-time data capture from the data feed providers via their APIs as well as seamless buy and sell integration through the broker connections specified. Be it combining multiple strategies, analyzing predictions through LSTM or ARIMA, conducting thorough back-testing or executing comprehensive risk management; you can rely on me to deliver solid functionalities in every module. It's worth mentioning that my quote includes 1 year of maintenance which can definitely be extended depending upon your requirement. And while my bid may not be the lowest, I assure you of superior technical strength, previous experience, and commitment towards exceeding your expectations. To validate my claims, I'll be more than happy to provide you with previous screenshots of similar works. Let's hop on a call to discuss how we can best realize your vision.

@murtuza90

With an impressive 13 years in the industry including mastering Python and RESTful API, I'm well-poised to deliver your desired product. My name is Murtuza and optimizing your strategies and operations is a passion of mine. Having developed similar software for trading and the Indian stock market previously, I am comfortable navigating the complexities of equity, options and Python programming. Understanding of buyer and seller dynamics is crucial in trading software which is why I prioritize using real-time data from registered APIs, as indicated in Project module 1. My proficiency in PyQt5 aligns well with constructing a GUI similar to Amibroker or Trading View while ensuring auto-startup function. Moreover, my experience in strategy development using LSTM, ARIMA models- as stated in Module 4- can enhance your product's predictive capabilities. Pitch: In terms of documentation, I assure you that I don't just stop at delivering code, but also create exhaustive guidelines to accompany it. This makes training your team easier and facilitating future maintenance painless. What sets me apart from other bidders is my understanding of the business value and scalability of an application - an invaluable trait attributed to more than a decade of steering projects for exponential growth. So let's discuss how my talents can augment and drive the success of your project!

@tonik83

✨Hello, Client!✨ I’m Toni, a Python and PyQt5 specialist with deep experience building trading-grade software for Indian markets. Your project vision , real-time data via API, modular strategy backtesting, LSTM/ARIMA predictions, risk controls, and broker integration , aligns with my past work and approach: robust data pipelines, extensible strategy architecture, and production-ready GUIs with responsive charts. I will deliver a clean, modular Python product where: - Module 1 ingests real-time data from your chosen feed(s) with resilient error handling and rate management. - Module 2 provides a focused, Amibroker/TradingView-like GUI with lightweight charting and automated startup/shutdown. - Module 3 supports independently authored strategies, with seamless combination and conflict resolution. - Module 4 adds predictive modeling with proven libraries, retraining hooks, and clear result visualization. - Module 5 enables rigorous backtesting with walk-forward options and performance metrics. - Module 6 implements risk controls and position sizing aligned to your risk rules. - Module 7 executes broker orders via your provided API with secure credential handling and audit trails. I’ll also prepare complete documentation and a one-year maintenance plan, with a detailed project plan and milestones. Screenshots of prior similar systems can be shared on request, and I’ll provide production-grade URLs and references for your evaluation, including established Indian-market resour

@techotd

As a seasoned professional at TechOTD Solutions with over 10 years of experience, I specialize in delivering tailor-made software solutions customized to meet your precise needs. My expertise lies in not just Python and PyQt5 development but also in trading software, an essential aptitude for your project. Understanding the intricacies of Indian stock markets and familiar with its APIs, I am adept at incorporating real-time data feeds from various providers. Having worked on strategies based on LSTM and ARIMA modules, I can help integrate your existing code for different strategies seamlessly. Additionally, my proficiency in back testing and risk management modules aligns perfectly with your requirements. Considering a project's future viability is of utmost importance to me. That's why not only will I diligently develop the application meeting your specifications but also ensure post-launch support and maintenance for one year - which can be extended as per your need. Moreover, don't just take my word for it; I'll provide extensive documentation adhering strictly to guidelines so that you have a comprehensive understanding of the software even in my absence.

@targaryen007

Hello, I’d like to propose development of your Python + PyQt5 based trading application for the Indian equity and options market. We have hands-on experience building end-to-end algo trading systems for NSE/BSE, covering real-time data ingestion, GUI/charting, multi-strategy architecture, ML-based prediction (LSTM/ARIMA), backtesting, risk management, and live order execution via broker APIs. We clearly understand your modular requirement: • Real-time data via API • PyQt5 GUI with charting and auto start/stop • Plug-and-play strategy modules • ML prediction engine • Backtesting & risk management • Broker buy/sell integration We have already worked on similar systems and are comfortable integrating your existing broker APIs, data feeds, and strategy code. Clean architecture, proper documentation, and SEBI-aware logging will be ensured. The quote will include 1 year maintenance, extendable in future. Previous project screenshots can be shared as required. We value technical depth over low pricing and would love to discuss details over a quick call to align expectations. Looking forward to collaborating. Best regards, Amit

@niketu88

Hi, You’re building a complete modular trading terminal & not just a script so architecture discipline is critical from day one. I would structure this as: Core Engine Layer - Real time data ingestion (WebSocket/API) - Strategy Manager (each strategy as separate Python module) - Strategy Combiner Framework - Risk Engine Execution Layer - Broker API integration - Order tracking & logging Analytics Layer - Vectorized back testing module - LSTM/ARIMA prediction module (separate service layer) GUI Layer (PyQt5) - Limited Trading View style charting - Strategy control panel - Start/Stop automation Modular architecture ensures maintainability and 1 year support feasibility. We should divide into 3–4 milestones (Data + GUI -> Strategy Engine -> Back test/ML -> Execution & Risk). Let’s first define detailed specs before committing to full build scope.