Python Stock & F&O Bot

@DigitalNightOwl8

Hi There , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in C++ Programming, Python, API, Data Processing, Software Architecture, C Programming, Software Development and Automation. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thanks and Regards

@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

@mrkk4ever

Dear Client I saw your requirements regarding to develop a auto trading bot for stock market of India using python. I can develop this application ASAP based your requirements. I developed many applications is similar to your requirements. Such as indicators, analysis applications, auto trading bot for various exchanges. Let share further details. Thanks and Regards Kannadasan K

@neerajkanti2703

Hello, I’ve carefully reviewed your requirement for a unified Python-based trading automation system capable of handling Equity, Futures, and Options from a single code-base, and this is exactly the kind of infrastructure I specialize in. I have hands-on experience building live trading automation systems that integrate real-time market data streams, broker APIs, order management, and strategy execution in one continuous process. ✅ What I will deliver 1️⃣ Unified Trading Engine Single Python application for: Equity Futures Options (CE / PE) Same execution flow regardless of instrument type. 2️⃣ Real-Time Market Data Processing Live WebSocket data ingestion. In-memory price and candle state. Ultra-low-latency decision handling. Clean abstraction so your strategy logic stays independent. ? Architecture Approach I follow a production-style architecture: Market Data Layer Strategy Layer Execution Layer Order Management System (OMS) Risk & Position Manager This ensures: Stability in live markets Easy debugging Long-term maintainability ? Testing & Delivery Initial delivery in paper-trading mode Live trading enabled only after validation Step-by-step testing support on your machine Clean handover with documentation I’m confident I can deliver a stable, extensible trading automation framework that you can build on long-term. Looking forward to working with you. Regards, Neeraj

@maazansaridev

I build real-time, production-grade automation systems (streams, WebSockets, low-latency pipelines) and can deliver a clean Python trading automation layer that trades Equity + F&O from the same codebase. I’ll connect your live market data feed, keep an in-memory state (ticks/quotes, positions, orders), and expose simple strategy hooks (your rule functions) to enter/modify/exit instantly via your broker API. You’ll get a modular project structure (no notebooks), robust logging, retries/timeouts, rate-limit safety, and clear error handling so you can extend it later without rewriting. I’ll also include paper-trading mode + a small CLI demo command, plus a short README for setup, configs, and how to run a sample trade safely. If you share which broker API (Zerodha/Angel/Upstox/etc.) + your data stream format, I’ll align the adapters cleanly from day one.

@Harry9867

As a second-year engineering student with strong experience in Python, C++, and full‑stack development, I can build a clean, modular trading automation layer on top of your existing live data and broker API setup. I will deliver a single Python codebase (no notebooks) that handles equities, futures, and options from the same process, keeping real-time market data in memory with minimal latency and executing your rule sets via simple function calls. The bot will be structured into three main parts: a data streaming module to read and parse the live feed, a strategy layer where your rules plug in, and an execution module that can place, modify, and exit orders instantly for stocks, futures, and options. I will add sensible logging, error handling, and reconnection logic so the system is reliable and easy to extend. External dependencies will be minimal, and I will include a short README with setup steps, required libraries, configuration instructions, and a demo command that runs a full sample trade in paper-trading mode first. My past work on real-time, API-driven automation and event-driven backends puts me in a good position to implement the low-latency, robust workflow you are looking for.

@ASEEM0

- Thanks for the clear requirements — this is the kind of trading automation framework I’ve built before, focusing on low latency, clean structure, and extensibility. - Before proceeding, I’d like to clarify a few points so I don’t make any assumptions: - Which broker API will this integrate with (and does it support WebSocket streaming)? - What market segments are required initially (cash equity, index F&O, stock F&O)? - Do you prefer an event-driven or polling-based architecture for order logic? - Should paper trading be handled via broker sandbox or internal simulation? - Are there any rate limits or order throttling rules I need to account for? - What operating system and Python version will you be running this on? - My approach would be a single modular Python codebase with a data stream handler, order manager, strategy interface, and shared position/state manager for equity and F&O. - I’ll include structured logging, error handling, minimal dependencies, and a README with setup steps and a paper-trade demo command. - Once these points are confirmed, I can proceed with a clean, testable implementation.

@nidhir83

I'm a dedicated Python developer passionate about AI and ML. With expertise in NumPy, Pandas, and Matplotlib for data handling and visualization, plus TensorFlow and PyTorch for building powerful models, I create efficient, scalable solutions tailored to your needs—from data pipelines to intelligent apps.

@Shekharmamgain

Hello, I can build a clean, modular Python application that handles both equity and F&O trading from a single codebase. It will ingest real-time market data, maintain in-memory state with low latency, and place or modify orders instantly via your broker’s API. The code will be dependency-light, well-logged, and easy to extend, with a paper-trading demo and a concise README included. Best regards, Shekhar