AI Trading Agent 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. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@nexvative

Hello, I can help build a reliable AI-powered trading execution agent for NSE day trading with a strong focus on real-time signal processing, risk management, and execution stability. My experience includes: • Python-based algorithmic trading systems • Real-time market data processing • AI/ML-driven signal generation • Broker API integrations (Fyers, Zerodha, Dhan, Angel One, etc.) • Backtesting, paper trading, and live execution systems • Risk management and low-latency trading workflows What I can build: AI-driven signal engine for intraday trading Real-time market trend analysis and feature processing Automated order execution with stop-loss and target logic Adaptive strategy behavior for changing market conditions Paper trading and live trading modes Trade logging, analytics, and performance tracking Risk controls including drawdown, exposure, and capital limits Suggested stack: • Python + FastAPI • Pandas / NumPy / Scikit-learn / PyTorch • WebSocket-based live market feeds • PostgreSQL/SQLite for trade storage • Dashboard for monitoring signals and positions Development approach: Strategy and signal architecture Historical backtesting and validation Paper trading simulation Live execution integration Monitoring, optimization, and deployment I focus on building stable and modular trading systems that can evolve over time with improved AI models and strategy tuning. Ready to discuss your trading logic, broker preference, and execution requirements in detail.

@prashanpatel557

Hello, I can develop an AI-powered trading agent for NSE that combines real-time market analysis, signal generation, and automated trade execution for day trading. I have extensive experience building Python-based trading systems, machine learning models, broker API integrations, and automated risk-management frameworks for Indian markets. What I can build: • Real-time market data ingestion via broker APIs (Zerodha, Dhan, Fyers, Upstox, etc.) • AI/ML signal engine using models. • Automated order execution and position management • Risk controls: position sizing, stop-loss, trailing stop, and daily loss limits • Backtesting and paper trading framework • Live dashboard with P&L, signals, and execution logs Tech Stack: Python, Pandas, NumPy, Scikit-learn/PyTorch, Flask, WebSockets Deliverables: • Complete source code • Training and backtesting modules • Deployment guide and handover support Timeline: 2–4 weeks, depending on strategy complexity Please share your preferred broker and whether you already have a trading strategy or want the AI model to discover patterns from historical data.

@somendersingh96

Hi, I can help develop an AI-powered trading execution agent for NSE-focused day trading with real-time market analysis, signal generation, and automated trade execution. What I Can Build • Real-time market data processing & trend analysis • AI/ML-based signal generation • Automated order execution with risk controls • Fast-response strategy engine for intraday trading • Position sizing, stop-loss & trade management • Performance logging, analytics & backtesting dashboard Recommended Stack • Python + FastAPI • TensorFlow/PyTorch + scikit-learn • Redis/WebSockets for live market feeds • PostgreSQL for trade/history storage • Broker API integration (Zerodha, Angel One, Upstox, etc.) Important Note The system can assist with signal generation and automated execution, but live trading performance depends heavily on strategy quality, market volatility, latency, and risk management. Proper paper trading and staged deployment are essential before full capital exposure. Experience Experienced with: Algorithmic trading systems AI-driven prediction pipelines Real-time data processing Broker API integrations Backtesting & execution engines Best Regards Somender Singh

@hr157

Hi, I’d love to help build your AI-driven trading execution agent focused on NSE day trading with an emphasis on speed, adaptability, and reliable real-time decision workflows. With 10+ years of full-stack and AI-related development experience, I’ve worked on automation systems, real-time data workflows, predictive logic, analytics dashboards, and performance-focused backend architectures. I understand the importance of low-latency execution, risk controls, and stable signal processing in fast-moving trading environments. I can help build: - AI-powered trade execution agent - Real-time market monitoring system - Signal-generation workflows - Risk-management and position controls - Strategy execution engine - Live market data integration - Backtesting and paper-trading environment - Performance analytics dashboard - Adaptive strategy refinement pipelines Core focus areas: - NSE-compatible execution workflows - Intraday/day-trading logic - Real-time signal processing - Market trend analysis - Volatility-aware decision systems - Trade logging and audit tracking Technology areas I’m comfortable with: - Python AI/ML ecosystems - Real-time streaming systems - Broker API integrations - FastAPI/backend services - Data pipelines and analytics I’d also recommend building the system in phases: 1. Data ingestion + signal engine 2. Backtesting and simulation 3. Paper trading validation 4. Controlled live execution 5. Continuous optimization and monitoring Thanks

@latifullah2

Having worked extensively in the field of AI Automation and Development, I believe I am the perfect candidate for this project. My expertise in building AI agents, developing trading algorithms, and my deep understanding of day trading dynamics will enable me to create a reliable and efficient AI trading agent for you. Furthermore, my experience with API integrations and n8n workflow automation will allow your new AI Agent to seamlessly analyze market trends in real-time and adapt to fast-moving conditions on the NSE. I have a strong grasp on AI and machine learning which are essential skills for this project. Not only that, being able to optimize systems is another aspect I bring to the table. This means that your solution won't just work well; it'll be flexible enough to be updated as needed. Additionally, I understand the importance of communication and collaboration for successful project execution. My background in virtual assistance has sharpened my ability to effectively understand and execute tasks to match your expectations. Let's not just automate for the sake of automation but let’s automate for success. As your dedicated AI agent and automation specialist, I'm invested in maximizing efficiency, minimizing cost, and importantly—producing measurable results. Allow me to leverage my skills sets and drive your business forward through smart AI automation on the NSE!

@riyap1200

Hi, I am interested in this project. I can provide you with the Customized Trading AI Agent Application with all features needed for your project in a creative and professional manner. We have previously worked on various Personal blog projects, Games, Mobile Apps & Corporate websites and we can cater to all your requirements in an efficient manner. We can complete the project in 15-30 days and we have long-term experience of various cloud computing platforms (Microsoft Azure, Google Cloud Platform, Amazon Web Services, etc.) and IDEs (Microsoft Visual Studio, Android Studio, XCode). You can trust us with your project as we have previously worked on various AI development projects and we can design and develop your application with the desired features in an elegant manner. Please share your details and connect with us so that we can collaborate and complete this project.

@loxtic

Hi, how are you doing? I’ve built streaming trading bots focused on NSE and real-time signals, with solid ML models to spot quick price moves and adapt to fast markets. I’ve deployed algo setups that respect risk limits and execute on tight latency, plus I’ve integrated with Kite/Angel One APIs for smooth trades. I can demo previous market-ready agents and discuss how to tailor signals, risk rules, and backtesting. Let me know further if interested

@aaronrobs

⭐ONLY PAY IF YOU’RE IMPRESSED⭐ We specialize in building AI trading agents tailored for NSE day trading. Our experience ensures reliable trade execution using AI signals. How we can help: ➡️ Develop real-time market analysis ➡️ Implement adaptive strategies for fast markets ➡️ Ensure seamless trade execution Our approach: ➡️ Use machine learning for accurate signal generation ➡️ Test extensively in live-simulated environments ➡️ Optimize for speed and reliability Committed to delivering a high-quality AI agent aligned with your goals. Looking forward to discussing this project further. Kind regards, Aaron Roberts Happy Screen Solutions

@samyotechit

My name is Sam, an AI/ML Engineer with proven expertise in building intelligent systems including AI Agents & Chatbots as well as developing effective AI trading strategies. Given your project seeking an AI agent for NSE day trading, I believe my unique blend of skills and experience make me a strong fit. Having worked with conversational AI extensively, I understand the importance of not just responding to specific queries but generating accurate and relevant insights, a crucial requirement for your trading agent. In my professional journey, I've developed extensive know-how of AI and machine learning along with a solid grasp of the NSE dynamics. My in-depth understanding of market trends combined with my previous experience in trading algorithm development has fine-tuned my ability to recognize fast-moving market conditions and adapt strategies accordingly - an essential attribute for executing trades based on real-time signals, as your project mandates.

@HYDHER

I am a skilled AI and app developer with experience in building smart, user-friendly, and efficient solutions. I focus on delivering high-quality work on time while maintaining clear communication throughout the project. My strengths include problem-solving, creativity, and understanding client requirements deeply to turn ideas into functional products. I am dedicated to providing reliable support, scalable solutions, and continuous improvements to ensure the project’s success. With a strong passion for technology and innovation, I can bring both technical expertise and fresh ideas to your project. Replies within a few hours

@umairinayat1

Having worked extensively in the AI and machine learning domain for over three years, my expertise is tailor-made for your AI Trading Agent development project. I possess a profound understanding of the NSE and day trading dynamics, which will prove vital in ensuring accurate trading execution based on AI-generated signals. Not only can I analyze market trends in real-time, but I understand how crucial it is to adapt to fast-moving market conditions. Moreover, as a skilled AI and ML engineer, I have a proven track record of developing successful trading algorithms. My approach to projects encompasses the entire ML lifecycle enabling effective data preprocessing, robust model training, and real-time deployment. This comprehensive approach has yielded results in other challenging domains like NLP (where I've even fine-tuned LLaMA 2 and deemed to be an expert). In addition to my technical proficiency, I bring deep domain knowledge to the table. Having deployed models across different platforms including AWS, Azure et al.,- such as FinBERT for real-time financial signal pipelines,- I understand what it takes to build reliable and efficient systems like the one you seek. My commitment to quality and ownership ensures that I will not just meet but exceed your expectations with this project.

@subhasht13

Hi, I've built a multi-agent crypto prediction backend using real-time data pipelines, AI-generated signals, and Kelly criterion-based risk management — exactly the kind of system your NSE trading agent requires. Here's how I'd approach your project: - Signal Generation: ML model (LSTM/XGBoost) trained on NSE tick data to generate intraday buy/sell signals - Execution Layer: Automated trade execution via broker API (Zerodha Kite / AngelOne SmartAPI) - Real-time Analysis: Live market feed integration with momentum, RSI, and volume indicators - Risk Controls: Stop-loss, position sizing, and daily drawdown limits built in I work in Python (FastAPI, pandas, scikit-learn, PyTorch) and can deliver a clean, well-documented codebase with modular architecture so you can extend it easily. A few quick questions to scope this accurately: 1. Do you have a preferred broker API (Zerodha, AngelOne, Upstox)? 2. Are you targeting specific NSE stocks or indices (Nifty 50, Bank Nifty)? 3. Do you need backtesting on historical data before live deployment? Looking forward to building this with you. Subhash Dangi

@kriSatya

Hi, I can deliver what you need. But I won't work below my rate (INR 1500 per hour). If this is agreeable to you, let us discuss. Yours faithfully, Satyanarayana K

@alexchendev

Hi - I develop AI-powered trading systems with Python. Perfect match for your NSE trading agent. My approach: 1. Real-time NSE data via WebSocket/API 2. ML signal generation using price action, volume, technical indicators 3. Automated order execution via broker API 4. Risk controls - position sizing, max daily loss, kill switch 5. Backtesting on historical data before going live 6. Dashboard + Telegram alerts Tech: Python, pandas, numpy, scikit-learn, asyncio, FastAPI. Can deliver backtested prototype within 5 days. Available immediately.

@vidita4

I believe I am a good fit for this project because I have strong knowledge of AI/ML and can build systems that analyze data in real time and make smart decisions. I understand that an NSE day trading needs fast execution, real-time market analysis, and the ability to adapt to changing market conditions. I can help create an AI-based trading system that generates signals, analyzes trends, and executes trades efficiently. I focus on building reliable and practical solutions with proper risk management, backtesting, and broker API integration. I would also ensure the system is tested properly before live trading. I would be happy to discuss your strategy, requirements, and how we can build an efficient AI trading agent for NSE.