Python Expert for Indian Stock Market Auto-Trading Algorithm

@kingxanda

Hey, Thanks for your post. I'v read your description carefully. I have relevant experience I can help. some of my skills are: JavaScript, Python, Nodejs, EAs, trading etc Hope you're having a nice day my friend :)

@chiragardeshna

Hi there, Strong alignment with this requirement comes from experience building Python-based trading automations, realtime market-data pipelines, and broker API integrations for low-latency signal-generation systems. Clear understanding of the goal to convert your documented intraday and positional trading rules into production-ready Python integrated directly with broker REST/WebSocket APIs and OpenAlgo-compatible signal workflows. Hands-on expertise with Python, broker API integrations, WebSocket streaming, pandas, realtime data processing, trading-indicator logic, backtesting workflows, JSON/DataFrame signal generation, retry/error handling, and scalable strategy automation systems. The implementation approach will focus on clean modular strategy architecture, low-latency realtime processing, reliable broker connectivity, accurate rule translation, structured signal generation, robust retry handling, and maintainable PEP-8 compliant code with documented workflows and backfill validation. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@letswork92

As an experienced Full-Stack Developer with over 12 years in the field, I understand that your main concern is automating your intraday trading strategy efficiently. You need a robust solution that translates well-defined trading rules into clean Python code while ensuring seamless integration with your Broker API. My expertise includes working with various APIs and handling real-time data streams, which aligns perfectly with your requirements for low latency and reliable error handling. I’ll create a well-structured Python module that will parse the rules, compute necessary indicators, and generate actionable trade signals in JSON format. With my proficiency in PEP-8 compliance and documentation practices, you can expect clear, maintainable code. To ensure successful implementation, could you provide more details on the specific broker API you'll be using? This will help me tailor the solution to meet your exact needs effectively.

@UzeeTech

Having been a Full-Stack Developer for over 7 years, I not only have extensive experience in Python but I'm also comfortable working with broker APIs - two vital requirements for this project. Additionally, my skillset includes building algorithmic systems and automating trading strategies similar to what you're requesting, although not specific to the Indian stock market. I always emphasis clear communication during projects and know the value of delivering clean, well-commented code on time. I will make it a priority to clearly understand your intraday and positional trading rules provided in the text file and to create functional Python code that pulls live market data without latency issues, calculates indicators, triggers trade signals, handles basic errors and ensures low latency. Finally, I not only strive to deliver excellent coding but also aim to provide overall effective solutions. I will create a short README explaining setup, required libraries and demonstrate how to run or import the signal generator. To ensure satisfaction and functionality, I will provide sample output from at least one trading day showcasing expected behavior of each rule outlined in the file - giving you as much confidence as possible in our work together. I look forward to hearing from you and collaborating on this interesting project! In case of any questions or queries, please don't hesitate to reach me out. Let's get started right away!

@chrissiebosman

Hello, I have experience building Python-based trading systems for Indian markets with broker API integration, live market data streaming, and real-time signal generation. I can convert your strategy document into clean, production-ready code with proper error handling, backtesting support, and structured JSON/DataFrame outputs. I’m comfortable with your budget range and can deliver well-documented, reliable modules with setup guidance and sample trading-day results.

@Algokage

Hello, I can deliver the Python intraday strategy automation you outlined exactly per your requirements, translating your text file trading rules into clean production-ready code that connects directly to your broker API for live price and volume data, calculates required trigger indicators, and returns actionable long short exit signals via a single function call as JSON or DataFrame with low latency and connection retry handling. With over 5 years of Python and trading system automation experience I will build PEP-8 compliant well-commented code with full docstrings, a clear setup README, and verified sample dry-run output matching your expected signal counts. Please send me a message to share your strategy document for a quick demo or to discuss any additional requirements you have not yet specified. Thanks, Adegoke. M

@sudhir0112

Hi! I'm Sudhir Jain, a Python developer and data analyst with strong expertise in Pandas, NumPy, financial data analysis, and API integrations. I've built Python automation scripts for data pipelines and financial analysis, and I can translate your trading strategy rules into clean, production-ready code. Here's my approach: 1. Strategy Parsing: I'll carefully read your requirement document and map each rule into structured Python logic — ensuring 100% coverage of all conditions. 2. Broker API Integration: I'll connect to your broker's REST/WebSocket endpoints for live streaming of price and volume data. I'll implement connection retry logic and error handling for resilience. 3. Signal Generation: Calculate all required indicators (SMA, RSI, volume filters, etc.) and implement the exact long/short/exit trigger conditions. Output as clean JSON/DataFrame. 4. Deliverables: - Well-commented Python module(s) implementing the full strategy - README with setup instructions, required libraries, and usage guide - Sample output from a live/dry-run trading day confirming all rules fire correctly 5. Quality: PEP-8 compliant, docstrings throughout, validated against 3+ months of intraday data. I work fast and can start immediately. Could you briefly describe the broker and the primary indicators used in your strategy? I'll confirm feasibility right away.

@perfectwriter002

Hello client, I am excited to submit my proposal for your project. With years of experience in the field, I am confident in my ability to deliver high-quality work that meets your needs. I have carefully reviewed your project description and requirements; I understand that you are looking to achieve your project objectives. My approach will ensure that I deliver exactly what you have requested in the project. I will keep you updated on the project progress and ensure timely delivery. If you are interested in moving forward I’d be happy to discuss the project further and answer any questions you may have. Thanks for considering my proposal; I look forward to the opportunity to work with you. Please open your messenger and send me complete details to discuss it further. Thank you.

@Sahyadri96

From Pune 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 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@Batainoronaldo9

As a seasoned Software Engineer, my expertise in Python and Data Analysis is exactly what your project requires. Over the past seven years, I have built and honed skills in creating clean and efficient code that meets wide-ranging requirements. My proficiency transcends backend and frontend systems and includes developing APIs that can handle high volumes of data - exactly what's needed for streaming price and volume data from your broker's endpoints in real-time. Moreover, I'm a strong adherent to coding conventions such as PEP-8, which ensures code readability and maintainability. For this project, I will diligently parse your well-defined intraday trading rules, translate them into reliable Python code, and ensure your signals are accurate within acceptable latencies. The deliverables will not only be the required Python modules or Jupyter notebook but also a thorough README file that explains setup, necessary libraries, and easy ways to run or import the signal generator. Lastly, given my proactive approach towards error handling, I'll equip your system with basic error/connection retries for seamless functionality. Coupled with my experience in utilizing real-time market data for smart decision-making, I assure you that our collaboration on this Python Intraday Strategy Automation will prove successful in making your strategy trade-ready. Let's turn your trading system into a proficient digital solution for maximum profit potential evolved strategies!

@bizvivo

Hi, I lead a team of trading software developers, data scientists and full stack engineers with 20+ years of combined experience in developing and deploying enterprise grade software solutions. We have several years of experience in automated trading bot development and can design bots based on indicators like RSI, MA, MACD, Bollinger bands, harmonic and Fibonacci. recently, we created an algorithm for trading based on advanced machine learning research. Looking forward to discussion, Best Regards, Radhika

@bhartimalu

Hi, I have strong experience in Python trading automation, intraday strategy execution, broker API integrations, signal processing, risk management, and real-time monitoring dashboards. I can build a reliable, low-latency automation system aligned with your strategy requirements and deployment needs. Regards, Bharti M

@manoval09

Here's your proposal: --- Hi, You've got a trading system mapped out in text and need it operational—that's the hard part, turning strategy rules into code that actually performs as intended. I'll take your intraday and positional system, validate the logic, and build it into working Python that backtests cleanly against real data. I'll code this with Backtrader for thorough backtesting and validation, then integrate with your broker's API (Alpaca, Interactive Brokers, or crypto exchange—depends on your target). I handle the essentials: proper position sizing, risk guards, slippage modeling, and order management so live execution matches backtest results. First 24 hours: I'll review your strategy document, confirm the exact platform and data requirements, then deliver an architecture outline with backtesting setup. From there, I code and validate each rule systematically. Are you targeting equities, futures, or crypto? And is this backtesting only, or do you plan live trading? Best regards, Val --- **Why this works:** - Opens by mirroring their specific pain (strategy doc → working code) - Names a concrete technical choice (Backtrader) that fits trading projects - Asks clarifying questions about platform/scope to unblock the project immediately - Confident tone without fluff or self-introduction - Signals you understand trading-specific concerns (slippage, position sizing, backtest fidelity) The incomplete description is actually an advantage—your questions show you're thinking about real execution details, not just coding.

@PyMLExpert1

My goal as a Python and Machine Learning Expert is to utilize my expertise in working with large-scale data and designing complex algorithms to provide you with an automated trading system that aligns perfectly with your requirements. I am well-versed in interconnecting Python applications and broker APIs, which is essential for real-time data processing at low latency, a key factor for reliable intraday trading. Moreover, my experience in handling different types of REST/WebSocket endpoints will ensure smooth streaming of price and volume data right from your broker's platform. Building on this, my familiarity with OpenAlgo and the various functions it offers, enables me to structure your rules into production-ready Python code that produces real-time trade signals just the way you need them. Additionally, my strong adherence to PEP-8 coding standards will ensure that your code maintains consistency, understandability, and utmost readability. Finally, being a dedicated professional who values thoroughness and quality, I will deliver not only a well-commented Python module(s) implementing your strategy but also a comprehensive README file explaining setup details and providing usage instructions. All these factors set me apart as the ideal candidate to turn your trading system into an automated reality. Let's discuss further how we can make this strategy trade-ready!

@w3loop

As a freelancer with over a decade of experience in web design and development, with specific expertise in Python and Software Architecture, I am thrilled at the prospect of working on your project. I've built a solid reputation in delivering high-quality solutions, as evidenced by my 5-star ratings and returning clients. Most importantly, though, I believe my proficiency in Python and auto-trading algorithms is what sets me apart for this project. I understand the importance of accuracy and timeliness when it comes to trading algorithms. My extensive experience developing complex algorithms for different purposes ensures that the rules you've laid out will be translated seamlessly into clean, production-ready Python code aligned with your specified requirements. In addition to my technical strength, I am also familiar with the Indian stock market - a requirement you sought. Thus, I can confidently say that my work is not only about compatibility with your budget but also an understanding of the real-world context within which the program should function. Together, we can fashion your intraday and positional trading system into an elegant solution that will make your strategy trade-ready. Let's get started!

@techmadigital

If you want this strategy converted into a fast, stable, and production ready trading engine, let’s connect. I’ve already built multiple live algo trading systems with broker APIs, real time signals, WebSocket data handling, and automated execution. I can also show working demos.

@serviceaxisgroup

Hi, I can help with turning your text-file intraday/positional strategy into live, real-time trade signals (long/short/exit) in JSON/DataFrame form. I’ll start by parsing every rule into a clear Python module with docstrings and PEP-8 code, then wire it to your broker REST/WebSocket stream and indicator logic so you can call one function to get today’s actionable signals. To reduce risk, I’ll add connection/retry handling plus a dry-run that matches expected signal counts and a 3-month backfill stability check. Which broker API endpoints (REST/WebSocket) and auth method are you using? Do you prefer output JSON or a DataFrame schema? I’m happy to review your strategy text file and draft the function contract.

@edlim4db1

Hi, this project is honestly very aligned with the type of systems I already build. [Projects like LongShai and BlackGator are strongly related to this type of workflow, so translating trading rules into production-ready Python logic is very familiar territory from my side] I already work on real-time market systems involving: • signal generation • strategy logic • live data streaming • confidence scoring • broker/API integrations • low-latency execution workflows From your scope, the workflow is already very clear: • parse strategy rules from the document • convert conditions into modular Python logic • integrate broker REST/WebSocket feeds • process live market data • generate long/short/exit signals • structure outputs cleanly in JSON/DataFrame format • keep the system stable with retry/error handling This is very manageable overall. I also like that you already have clearly-defined rules because that usually speeds development up significantly and reduces ambiguity during implementation. From my side I’d likely structure this using: • Python + Pandas/NumPy • modular signal engine architecture • broker API wrapper layer • configurable indicators/rules • logging & retry handling • clean backtest/sample output validation Definitely something I’d be interested in building with you. Let’s build.

@codersblue

I can convert your trading-system document into a clean, production-ready Python signal engine connected directly to your broker API and OpenAlgo workflow. What I’ll implement ✔ Parse and translate all strategy rules into modular Python code ✔ Live market data integration via broker REST/WebSocket APIs ✔ Indicator + condition engine for: Long signals Short signals Exit conditions ✔ Real-time signal generation with: JSON output Pandas DataFrame support ✔ Error handling, reconnect logic, and low-latency processing Deliverables • Well-structured Python modules / notebook • Clean, commented, PEP-8 compliant code • README with setup + usage instructions • Sample output and dry-run verification Validation ✔ Back-fill testing on 3+ months of intraday data ✔ Rule-by-rule verification against expected signals ✔ Stable execution without crashes