Automated Momentum Trading Application Development

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards.

@vishal1145

Your momentum strategy will fail in production if the Dhan API throttles requests during high-volatility windows or if your order execution logic does not account for slippage between signal generation and fill confirmation. Both issues will erode your backtested edge within the first week of live trading. Quick questions - what is your target order latency from signal to execution, and have you stress-tested the strategy against gap-up/gap-down scenarios in Nifty futures? Here is the architectural approach: - PYTHON: Build a modular event-driven engine with separate signal generation, risk management, and order execution layers to isolate failures and enable independent testing of each component. - DHAN API: Implement exponential backoff retry logic and WebSocket streaming for tick data to minimize latency and handle API rate limits without dropping signals during market surges. - BACKTESTING: Replicate your historical results using vectorized pandas operations, then layer in realistic slippage models and transaction costs so forward performance matches expectations. I have built three algorithmic trading systems for prop desks that processed 500+ orders daily with sub-200ms execution times. Let's schedule a 20-minute technical call to review your rule set and confirm the deployment architecture before we write a single line of code.

@Shrutibimpl

Hello, I will develop your custom automated trading application and backtesting engine integrated with the Dhan API. I will write the core program in Python, using asynchronous WebSocket modules to handle live Nifty index and Indian stock feeds. I will translate your momentum rules into clean, vectorized math calculations using pandas and NumPy, and configure the system to load all variables (such as indicators, timeframes, and sizing rules) from an editable configuration file. For live execution, I will implement a secure order-routing layer with the Dhan API that manages real-time position sizing, risk checks, and automated exits, backed by robust error handlers and detailed local log files. Finally, I will write the repeatable backtesting script to reproduce your historical data results and provide complete setup documentation for your VPS deployment. I have extensive experience building scalable, low-latency Python algorithmic trading bots, integrating them with Indian broker APIs like Dhan and Zerodha, and configuring robust VPS environments. 1) Does your momentum strategy require streaming raw tick-by-tick data, or does it evaluate signals based on completed candle intervals? 2) Is your backtesting database structured as local CSV files, or should the script query an external historical data provider? 3) What platform, such as a CLI console, a simple web interface, or Telegram messages, do you prefer for real-time portfolio monitoring? Thanks, Bharat

@prashanpatel557

Hello, Your project is an excellent match for my expertise in Python algorithmic trading, Dhan API integration, and automated execution systems. I’ve developed production-ready trading applications with live market data, strategy engines, broker API integrations, risk management, backtesting modules, and VPS deployment for Indian markets. I can convert your validated momentum strategy into a modular trading application that integrates with the Dhan API, processes live market data, generates signals exactly as your tested rules specify, executes orders automatically, manages positions based on your risk parameters, and provides real-time P&L through a lightweight dashboard or CLI. The solution will include a reusable backtesting script, configurable parameters, comprehensive logging, robust error handling, deployment support, and clear documentation. Before we begin, I’d like to confirm one detail: Does your strategy generate signals only after candle close, or does it require intraday tick-level execution for entries and exits? This will help design the execution engine for maximum accuracy. I’m ready to start immediately and can deliver a clean, scalable, production-ready solution that faithfully reproduces your backtested strategy while remaining easy to maintain and extend.

@AZTURK1

Hi there, I've read through your momentum strategy requirements and see you need a production-grade app connected to Dhan's API for Indian equities. I can turn your tested rules into clean, well-documented Python code that executes live orders without supervision. What I'll do: ✅ Build the strategy engine and Dhan integration in Python, with real-time signal generation and position sizing. ✅ Develop a back-test script that reproduces your historical results exactly from your sample data. ✅ Run a staged rollout on paper trading first to ensure everything works before live funds are at risk. Skills for this project: ✅ Python & API development with Dhan integration ✅ Financial data analysis and backtesting ✅ Risk management and error handling in automated systems ✅ Clean, commented code with configurable parameters for tuning ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ 300+ projects delivered, 280+ five-star reviews Why me: I'm available 24/7 and provide fast responses to keep this moving smoothly. One question: Do you have a Dhan sandbox account set up so I can test the API integration before going live? I can deliver this in 1 day for ₹22,075 and start immediately.

@nexvative

Hi, I can turn your thoroughly back-tested momentum strategy into a production-ready automated trading application integrated with Dhan API. I have experience building Python-based trading systems, market-data pipelines, strategy engines, backtesting workflows, and broker API integrations. I’ll build: • Clean Python strategy engine implementing your rules exactly as provided • Real-time market data ingestion and reliable Dhan API order execution • Automated position sizing based on capital and risk parameters • Trade monitoring with configurable entry/exit conditions • Robust logging, exception handling, reconnection, and state recovery • Repeatable backtesting script to validate historical performance • Configuration-driven parameters without modifying source code • CLI or lightweight dashboard for positions, orders, and P&L • VPS/server deployment scripts and complete documentation I’ll maintain a strict separation between backtest, paper-trading, and live execution so the strategy can be validated safely before live deployment. The system will also be structured for future strategy enhancements. Share your rule set and sample datasets, and I can review the logic and propose the implementation architecture and milestone plan. Ready to start immediately.

@Web1devloper

I am Harsh, and with over eight years of experience in data analytics and science along with my extensive knowledge in Python programming, API development, and data engineering, I am well-equipped to deliver on the requirements of your project. My proficiency in Power BI, Tableau, Looker and Google Data Studio will ensure that your momentum trading app includes informative and intuitive dashboards to help you stay on top of every aspect of your trading strategy effortlessly. Moreover, my expertise in using various cloud platforms like AWS, GCP and Azure is aligned perfectly with the requirement for integrating Dhan's API into your application. One of my strong suits as a data analyst is not just crunching numbers but extracting insights that make a significant impact on the client's business. I believe this capacity can be crucial when it comes to automating your momentum trading strategy. I'm accustomed to working meticulously with datasets while ensuring clean coding practices, thorough logging, and efficient error handling which are particularly essential for an application involving real-time trades like yours. Additionally, I come prepared with substantial experience across multiple domains like finance, healthcare, SaaS, and e-commerce, giving me a broader perspective on how different industries leverage their data effectively.

@worksoft

Hi, I am an experienced software professional. I have converted custom strategies, like yours, to automated algorithmic trading systems with integration to Dhan, Zerodha, ByBit & Binance for stocks, indexes, forex & cryptocurrencies. I can do this for your strategy. Which VPS OS you prefer, windows or ubuntu/linux? The deployment configuration depends on it. Regards.

@loxtic

Hi, how are you doing? I have considerable experience turning tested trading rules into automated systems and have deployed multiple projects that connect to broker APIs and handle live order execution with robust logging and a simple monitoring view. I can translate your momentum logic into clean, well-commented code, build a repeatable back-test script, and create a small config file for easy tuning, plus setup documentation for deployment on a server or VPS. Let me know further if interested.

@alluankit01

Hi, I can build your automated momentum trading application in Python with Dhan API integration, live market data, signal generation, position sizing, order execution, trade monitoring, logging, and deployment support. The best solution is to first review your back-tested rule set, parameters, sample datasets, capital allocation, and risk limits. I’ll then convert the strategy into a clean modular engine, connect it with Dhan APIs, add live order placement, exit handling, error recovery, and a configuration file so you can tune values without editing code. I’m comfortable with Python, Indian stock market APIs, Dhan-style broker integration, Nifty/equity trading, backtesting, live market data, order management, risk controls, VPS deployment, logging, and dashboard/CLI monitoring. Deliverables will include: * Strategy engine source code * Dhan API integration * Live signal and order execution * Position sizing and risk controls * Entry and exit monitoring * Backtest script * Config file for parameters * Trade logs and P&L summary * Dashboard or CLI status view * Setup, deployment, and extension guide I’ll focus on matching your tested strategy logic exactly, keeping the app stable for unattended execution, and making the code easy to maintain or extend later. Best regards Ankit

@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 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

@rajeshrolen

Hello, I understand that you are looking for a skilled developer to create an automated momentum trading application based on your thoroughly back-tested strategy. My expertise lies in developing custom trading applications and integrating them with APIs like Dhan's. Based on your project requirements, I will meticulously translate your validated rules into clean and efficient code. I will ensure seamless connectivity with Dhan's API, allowing for live order execution on Indian stocks and the Nifty index without manual intervention. Robust logging, error handling, and a user-friendly dashboard for monitoring positions and P&L will be integral parts of the application. I am well-versed in creating well-commented source code, back-test scripts, configuration files for parameter tuning, and comprehensive documentation for easy setup and future strategy extensions. On completion, you will have a fully functional application that you can deploy on your server with confidence. If you are ready to proceed with the development of your automated trading application, I am excited to collaborate with you on this project. I invite you to open a chat so we can discuss the technical details further. Sincerely, Rajesh Rolen

@Cruz1217

If the Dhan websocket drops without a reconnect, the strategy could miss critical entry signals. I'll add a watchdog that re‑establishes the feed and queues any pending orders to avoid gaps. The engine will read the rule set from a JSON file so you can adjust parameters without code changes. A common mistake is to trust a single API call for order confirmation, which can hide latency spikes. I'll log each request and response with timestamps, then compare them to the market tick to flag any mismatches. You’ll see a live CLI summary that shows open positions, P&L, and any error alerts as they happen.

@naeem1114

If Dhan's websocket disconnects during a trade, the strategy could lose sync and place duplicate orders. I'll add a reconnection guard that buffers incoming ticks and replays any missed signals once the feed is back. The engine will also write each decision to a rotating log so you can audit actions even when the app runs unattended. A common pitfall is assuming the back-test data format matches the live feed, which often leads to type errors at runtime. My code will include a conversion layer that normalizes timestamps and price fields, and add unit tests that catch mismatches before deployment. Ready to start immediately and get the strategy running on Dhan's API today.

@NEHABHAT92

With an extensive and proven background in web and mobile development spanning over 9+ years, I bring more than just coding skills to your project. My team and I spearhead projects from conception to reality, transforming ideas into tangible deliverables. Our diverse competency across various digital spheres ensures we're prepared for any challenge, including developing a production-grade, fully automated trading application. One key advantage I present is the ability to create clean, well-commented source code that elucidates processes and enhances maintainability for future scaling or customization needs. In addition, my team has profound experience with Artificial Intelligence and Python; precisely the tools needed to translate your thoroughly back-tested momentum strategy into a deployable trading app utilizing Dhan's API. Our dedication doesn't terminate with project completion; instead, we provide extra benefits such as budget-friendly domain hosting, SEO services, post-project support extended for up to 3 months among others. This holistic approach guarantees not only quality project delivery but efficient after sale services. Allow us to cater to your expertise requirements and rest assured your project will be handled by professionals who turn ideas into reality. Thank you!

@MKCHAND

Hi, first of all see my work of trading automation solutions. Then provide your valuable project to me. I am the master of trading automation solutions. Yo can see demo of my each work. I can easily create your desired trading system with your desired broker. Let’s discuss further on chat for detailed explanation.

@InjectAI

I fully understand your requirements and can develop a production-ready automated trading system that executes your validated momentum strategy exactly as tested. I have experience building AI-powered trading, algorithmic automation, API integrations, and real-time data processing systems. Please visit my profile to review my portfolio and similar automation projects. .................. What I Will Deliver .................. • Automated strategy engine with Dhan API integration • Live market data processing & signal generation • Position sizing and risk management • Real-time order execution and trade monitoring • Backtesting module matching historical results • Configurable settings, logging & documentation .................. Tech Stack .................. • Python • Dhan API • Pandas, NumPy • FastAPI (optional dashboard API) • SQLite/PostgreSQL • Docker, Git I offer introductory rates and guarantee a reliable, scalable, and production-ready trading automation solution with clean, maintainable code. Please visit my profile to see my portfolio and previous AI, automation, and algorithmic trading projects. Regards, Malik Abdul Salam AI Developer & Automation Engineer

@shailender18

Hi, I understand you're looking to convert your back-tested momentum trading strategy into a production-ready automated trading application integrated with Dhan API for live execution on Indian equities and Nifty. With 8+ years of experience in software development, API integrations, automation systems, and data-driven applications, we can help build a reliable trading solution with strategy implementation, live market data handling, order execution, risk management, and monitoring. We’ll focus on accurate translation of your tested rules, clean architecture, robust error handling, detailed logging, configurable parameters, and a repeatable backtesting framework to validate performance before live deployment. I'd be happy to discuss the technical approach, deployment plan, timeline, and answer any questions before we begin. Regards, Shailender

@kdstechsolution

Hi, I have gone through your requirements and have experience developing automated trading applications with Python and API integrations, including similar trading apps. I can build a reliable system that connects with the Dhan API, executes your momentum strategy exactly as per your rules, manages risk, places live orders, and monitors positions in real time. I'll also provide a backtesting script, configurable settings, detailed logging, and clear documentation for easy deployment and future updates. I can start immediately and look forward to working with you.