Angel One Algo Trading System

@tinuvj

Hi, I have 15+ years of experience in the software development. You can see my recent ALGO projects, reviews & demos here: ► https://www.freelancer.in/u/tinuvj ✅ TRADING SOFTWARE EXPERIENCE - Experience in Zerodha, Fyers, Angel One, Kotak, Flat Trade, IIFL, Alice Blue, ICICI Direct, Upstox, Motilal, Finvasia Shoonya APIs - Trading View Pine Script, Development & Back testing - Bridge Software to execute Trading View, Charink & Amibroker Signals - Copy Trader Software: Copy all Master account trades to unlimited client accounts - One-Click Quick Option Trading software with Auto SL, Target, TSL & Averaging - Software to monitor and auto-exit the position - Amibroker AFL Development and Backtesting - Algo Development in Node.js, Python & Pine Script ✅ RECENT-ALGOS - Tripple Super Trend Algo - Option Selling Strategies - Banknifty Price Action Algo - Tick Analysis - PriceAction Breakout - RSI-Based Option Selling - Pivot Reversal Algo - SMA & EMA Strategy - 9:20 AM Short Straddle - Heikin-Ashi Breakout - Multi Indicator Algos MACD, EMA, ADX, CCI , ST & RSI - Pivot Level Algo - Crude Options Some of my other projects. - Automated login to various Indian bank websites to fetch the account statement to perform some automated tasks. - Automated login and trade execution in various Indian stockbroker platforms - WhatsApp API & Chat Bot Using WhatsApp Web Automation Thanks & Regards Tinu Jose

@ASSAMWEB

Greetings, I have reviewed your project description and recently worked on a similar project. I believe I can help you deliver this successfully. Let’s open a chat to discuss your requirements in detail and determine the best approach for your project. Regards,

@mayankinnovative

As an experienced developer with a focus on delivering clean and stable solutions, I'd make an ideal candidate for your Angel One Algo Trading System project. While my main expertise lies in PHP-based development for WordPress and Laravel applications, that experience has given me a deep understanding of working with third-party APIs, which will prove invaluable when connecting to Angel One through SmartAPI in real-time trading. I understand the criticality of reliability and speed in trading systems. My meticulous approach to coding ensures that the infrastructure I build is robust enough to handle live market data authentication and WebSocket handling without losing state, while still adhering to high standards of security. Furthermore, my proficiency in Python will enable me to adeptly run your CCI calculation continuously on 30-minute bars across relevant option contracts and deliver accurate trading signals. Combined with my knack for creating intuitive web-based user interfaces including streaming live market prices, you can expect an interactive dashboard that not only notifies whenever a trade signal is generated or filled but also helps you track market conditions effectively. Lastly, once the project is completed, I'll provide you with not just the documented codebase, deployment scripts but also comprehensive user instructions so you can manage the system on your own server without any hassle.

@mahads31

With an extensive background in API development, Python, and software architecture, I bring to the table a comprehensive skill set that beautifully aligns with your project requirements. I fully understand that this is not just about writing functional code - it's about creating a robust and efficient system that can handle the complexities of real-time trading on a large scale. I have a proven track record in building systems that stay stable even in the most demanding markets. What sets me apart from the rest is my ability to think beyond just executing orders. Your project is all about transforming data into actionable insights in real-time - which happens to be my forte. Over the years, I have worked with data at massive scale and implemented complex algorithmic strategies for trading platforms. Trust me when I say that I know exactly how to run CCI calculations on 30-minute bars for option contracts while ensuring optimal performance and reliability. Moreover, as a long-term technology partner, I am more than committed to ensuring your system's lasting success even beyond its development phase. Rest assured, you will not only receive a rock-solid codebase covering all aspects of your project but also well-documented instructions and deployment scripts to ensure seamless spin-up on your server. Let's connect and solidify a plan that fits your vision perfectly - together, we can transform your idea into a high-impact digital reality

@vishal1145

Your CCI-based NFO option scanner will fail in production if you don't handle Angel One's WebSocket disconnections during market volatility. A single dropped connection means missed signals during the exact moments your strategy needs to execute. Quick questions - are you planning to scan all NFO strikes or filter by OI/volume thresholds to avoid illiquid contracts? And what's your fallback if SmartAPI rate-limits historical bar requests during the initial CCI calculation window? Here is the architectural approach: - PYTHON + SMARTAPI: Build a stateful WebSocket manager with exponential backoff reconnection and Redis-backed order queue so disconnects don't lose pending trades. - CCI SIGNAL ENGINE: Stream 30-min OHLC bars into Pandas, calculate rolling CCI with TA-Lib, and trigger threshold events through a pub-sub pattern that decouples signal generation from order execution. - INTERACTIVE DASHBOARD: Deploy a Flask/FastAPI backend with Server-Sent Events pushing live prices and trade alerts to a React frontend, plus Telegram integration for mobile notifications. I've built 4 live trading systems for prop desks that process 200+ signals daily without missing fills. Let's schedule a 20-minute call to walk through your exact strike selection logic and risk parameters before I draft the technical spec.

@ashinnd84

Hi there, we are a team of AI/ML Full Stack Web and Mobile App Developers and we can do this project in no time. Thanks Ashish Kumar.

@Shrutibimpl

Hello, I will build and deploy your automated options-trading system integrating Python with the Angel One SmartAPI. I will develop the data infrastructure from scratch, establishing a robust WebSocket client connection to ingest live NFO feed data and utilizing Pandas and TA-Lib to compute the CCI indicator on thirty-minute option charts. I will configure the signal engine to monitor threshold crossovers, immediately triggering automated market or limit orders via the SmartAPI when conditions align, backed by strict connection retry parameters. For the user interface, I will build a lightweight web-based dashboard that communicates over WebSockets to display streaming market ticks, active order logs, and instant on-screen notifications for any signal, fill, or rejection events. 1) Do you have active developer credentials and API access tokens enabled on your Angel One SmartAPI account? 2) Should the target options strike selection, such as At-the-Money or a specific Delta value, be resolved dynamically by the Python backend or configured statically? 3) What web framework, such as React, do you prefer for building the real-time interactive user interface dashboard? Let's chat to discuss in details for better clarity. Thanks, Bharat

@prashanpatel557

Hello, Your project is an excellent match for my expertise in Python algorithmic trading, broker API integration, and automated execution systems. I’ve built live trading applications with broker APIs, WebSocket market feeds, strategy engines, paper/live trading modes, real-time dashboards, and risk management for Indian markets. I can develop a production-ready system that integrates with Angel One SmartAPI, streams live option data, calculates the CCI on 30-minute candles, scans NFO option contracts, and executes trades automatically based on your strategy. The application will include a web dashboard with live prices, trade notifications, paper/live trading modes, kill switch, persistent logging, auto-reconnection, and restart recovery. The code will be modular, configurable, and fully documented for VPS deployment. Before we begin, I’d like to confirm one detail: Should the scanner monitor all option contracts dynamically based on the ATM strike, or will you provide a predefined watchlist of NFO option symbols? I’m ready to start immediately and can deliver a scalable, production-grade solution with clean, maintainable code and comprehensive testing before live deployment.

@irfanui

Hi, I reviewed your project: Angel One Algo Trading System. I can develop a secure and scalable Node.js backend with REST APIs, database integration, authentication, real-time features, admin tools, third-party integrations, and deployment support. I work with Node.js, Express/NestJS, Laravel, React, MySQL, APIs, and VPS/cloud environments. Please message me so we can confirm endpoints, data model, integrations, and delivery milestones. Portfolio: https://www.freelancer.com/u/irfanui Regards, Mohammad 4th Dimension Partners

@NEHABHAT92

As a seasoned Python developer with a special interest in algorithmic trading, I would be thrilled to help you bring your Angel One Algo Trading System to life! With nearly a decade of experience under my belt, I have honed my skills specifically in data handling, infrastructure setup, and real-time WebSockets. This translates into a deployment process that is robust, system crashes are gracefully handled while maintaining state, and a well-documented codebase and deployment script. So, you can rest easy knowing that the core of your trading strategy is executed with utmost precision. One crucial factor for any trader is the reliability of their system -- that’s something I take seriously. My safe kill-switch setup along with clear separation between live trading and paper trading will put you in control. Moreover, my experience includes designing interactive web-based dashboards for monitoring live prices; it’ll be a piece of cake to integrate push notifications whenever a signal is generated or an order hits market. In conclusion, Neha Technologies promises not just streamlined code and efficient systems but also excellent client service with three months of free support after project completion. Given my extensive hands-on experience and deep understandings in web development and mobile development alike, creating an intuitive UI for your-dashboard would be a natural extension of my expertise. Let's capture stellar trading opportunities together!

@Algokage

Hello, I can efficiently deliver the Angel One Algo Trading System as outlined, connecting to SmartAPI for real-time data and automated order execution. I’ll handle data provisioning, WebSocket management, and CCI-based signal generation on 30-minute NFO option charts, ensuring production-grade reliability. The system will include a web-based dashboard with live notifications and clear separation for live, paper, and kill-switch modes. With 5+ years of experience, I’ll provide a documented codebase, deployment scripts, and user instructions. Message me for samples or to discuss further. Thanks, Adegoke. M

@fullstack0407

I have read your job post. I am a Full Stack Developer with experience building algorithmic trading platforms, real-time dashboards, WebSocket applications, and Python-based automation with broker API integrations. I can build a production-ready trading system that integrates with Angel One SmartAPI, streams live market data, calculates the CCI strategy on 30-minute candles, scans eligible NFO option contracts, and executes trades automatically based on your rules. The solution will include a real-time web dashboard, live notifications, paper trading mode, kill-switch, detailed logging, automatic reconnection, and a modular architecture that is easy to maintain and extend.

@nexvative

Hello, I can build your end-to-end algorithmic trading system around Angel One SmartAPI, with a production-ready architecture for real-time data streaming, CCI-based signal generation, automated execution, and monitoring. My approach would include: • Angel One SmartAPI authentication and WebSocket integration with automatic reconnection and session handling • Real-time NFO option market data ingestion and 30-minute OHLC candle construction • Continuous CCI calculation with configurable periods and threshold parameters • Real-time signal detection and execution pipeline with clear separation between strategy, risk, and order-management layers • Automatic order placement and monitoring exclusively through Angel One SmartAPI • Paper-trading and live-trading modes with a configurable kill switch • Persistent state management so the system can recover safely after restarts • Structured logging, error handling, order reconciliation, and alerts for rejected/failed orders • Web dashboard showing live prices, active signals, positions, orders, and execution status • Instant browser/push notifications for signals, fills, and rejected orders • Docker-based deployment with clear setup and configuration documentation I’ll keep all key parameters configurable, including CCI period, thresholds, symbols, lot sizes, risk limits, and execution settings. The system will be designed so the strategy can be tested thoroughly in paper mode before enabling live execution.

@borse1012

I can build a production-ready algorithmic trading system that integrates with Angel One SmartAPI to stream live market data, generate CCI-based signals, and execute trades automatically. I have strong experience developing Java/Spring Boot backend applications, REST APIs, WebSocket-based real-time systems, and trading automation. I focus on building scalable, reliable applications with clean, maintainable code. What I'll deliver: SmartAPI authentication and order execution Live market data streaming with robust auto-reconnect CCI strategy engine on 30-minute NFO option candles Automatic trade execution with configurable parameters Web dashboard showing live prices, signals, and order status Instant notifications for signals and executed/rejected orders Live Trading, Paper Trading, and Kill Switch modes Comprehensive logging, error handling, and state recovery after restart Deployment scripts, source code, and concise documentation The architecture will be modular so you can easily add new strategies, indicators, and broker integrations in the future. I'd be glad to discuss your CCI entry/exit rules, option selection logic, risk management, and deployment approach before we begin. I can start immediately and deliver a robust, production-quality solution.

@alluankit01

Hi, I can build your Angel One SmartAPI algo trading system with live NFO option data, 30-minute CCI signal logic, automated order execution, dashboard alerts, paper/live modes, and kill-switch safety. The best solution is to first confirm the NFO option universe, CCI thresholds, lot size, order type, stop-loss/target rules, square-off time, and deployment server. I’ll then implement SmartAPI authentication, WebSocket/reconnect handling, 30-minute candle creation, CCI calculation, signal generation, and order management. I’m comfortable with Python, Angel One SmartAPI, WebSocket feeds, Pandas, TA logic, NFO options, API trading, logging, restart-safe state handling, dashboards, deployment scripts, and paper/live trading separation. Deliverables will include: * SmartAPI login and setup * Live market data streaming * 30-minute CCI calculation * Signal engine * Automated order placement * Paper and live modes * Kill switch * Error handling and logs * Web dashboard with alerts * Fill/rejection notifications * Deployment guide I’ll focus on stable execution, clean code, and safe controls. I will not promise trading profits, but I can build the automation exactly around your defined rules. Best regards Ankit

@shibbuquadir

At Paper Perfect, we pride ourselves on our extensive experience and expertise in API Development, Python, and Software Architecture - just the skills your project needs to create a seamless algorithmic trading system for Angel One. Our track record demonstrates a clear understanding of the financial markets and the ability to build stable systems that handle real-time data and execute orders accurately. We're confident that our proficiency with auxiliary libraries such as Pandas and TA-Lib will be invaluable in ensuring your system stays stable during live markets. Your project requires an acute focus on data handling, precisely calculating signals, instant order generation, and real-time notification. We have excelled in projects with similar complexities. With thorough planning and meticulous execution facilities like option contracts scanning through CCI indicators, we guarantee a well-structured algorithm that effectively triggers trades when conditions are met. In addition to technical expertise, we prioritize reliability and user-friendliness. You can expect a streaming dashboard that's easy to read with instant notifications every time a signal is generated or order is filled/rejected. We've also planned safety measures like clear separation between live trading, paper trading, and a safe kill-switch to ensure you have peace of mind during operations. As for deliverables, you can count on us providi

@aasthanarula907

Hi, I have 4+ years of experience in Python development, automation, API integrations, and real-time data processing. I can build your algorithmic trading system using Angel One SmartAPI, including live market data streaming, CCI-based signal generation on 30-minute NFO option charts, automated order execution, and a web dashboard. The solution will include paper/live trading modes, logging, error handling, auto-reconnect, and a kill switch. I write clean, well-documented code and provide deployment support. I'm available to start immediately and would be happy to discuss the strategy details before we begin. Looking forward to working with you! Best, Aastha

@thiagofoz87

Your project requires more than a simple trading bot — the critical part is building a stable event-driven system that can handle live market streams, generate signals with low latency, and execute orders safely without inconsistent states during reconnects or failures. I would structure the solution with a dedicated market-data layer connected to Angel One SmartAPI via WebSocket, including session renewal, heartbeat monitoring, reconnection handling, and centralized logging. On top of that, the signal engine would continuously process 30-minute candles for NFO option contracts, calculate CCI values in real time, and trigger execution workflows immediately when thresholds are crossed. For execution reliability, I would separate signal generation, order placement, and trade-state management into isolated services/components to avoid duplicated orders or missed executions during market volatility. The platform can also support paper trading mode, live trading mode, and a manual kill-switch with persistent state recovery after restart. The dashboard would provide live quotes, active signals, order status updates, and notification events in real time. I can deliver this using a lightweight React-based interface connected to backend streaming endpoints. The final delivery would include documented source code, deployment instructions, environment configuration, and scripts to run the system on your own server. Given the scope, I recommend starting with a production-ready MVP focused on stability and execution flow first, then iterating on strategy refinements and advanced monitoring.

@rajeshrolen

Dear Client, I have thoroughly reviewed your project requirements for the development of the Angel One Algo Trading System, and I am excited about the opportunity to work on this project. With my expertise in API development, Python programming, and algorithmic trading systems, I am confident in delivering a robust solution that meets your needs. Here is a brief overview of how I plan to approach this project: - Data & Infrastructure: I will set up the necessary live data feeds, implement secure authentication protocols, handle WebSocket connections, and ensure reliable reconnection logic. The system will exclusively utilize Angel One SmartAPI for order execution. - Signal Engine: Continuous CCI calculations on 30-minute bars will be performed for relevant option contracts. Trading signals will be generated based on predefined thresholds and seamlessly integrated into the execution layer. - Interactive Dashboard: A web-based UI will display live market prices and provide instant notifications for generated trading signals and order status updates. - Reliability: The system will incorporate robust error handling, comprehensive logging mechanisms, and distinct modes for live trading, paper trading, and a fail-safe kill-switch. I am eager to discuss the project details further and collaborate on creating a cutting-edge trading system for you. Please find examples of my previous work in my portfolio: https://www.freelancer.com/u/rajeshrolen Looking forward to your response. Sincerely, Rajesh Rolen