Day-Trading Stock Algorithm Development

@sdqtrades

With a diverse background in Artificial Intelligence, Automation and of course trading, I wholeheartedly understand the complexities involved in developing advanced trading algorithms. Python is one of my core programming languages and combined with my extensive experience in Zerodha Kite API and the Indian stock market, I'm confident in my ability to deliver a strategic, robust, and effective algorithm for your day-trading endeavors. My proficiency extends beyond algorithm development - I bring with me an ability to adapt to your specific needs. I am intimately aware of all the requirements you have listed and can adhere to them meticulously while keeping future updates in mind. Additionally, my knowledge includes paper trading modes, backtesting facilities, and ensuring clean codes for your long-term use. I firmly believe that communication is key and I intend to maintain an open channel for seamless exchanges. My multilingual skills (English, Spanish, Portuguese, French, German, Italian) set me apart from the competition by enabling clearer understanding which results in a faster delivery of quality products. Let’s embark on this journey together; I promise confidentiality plus full ownership* of software and source code.

@KavyaTechNepal

Namaste, I can build your Zerodha Kite Connect intraday trading system in Python with a clean, modular architecture supporting backtesting, paper trading, and live execution modes. I have experience with API integrations, WebSocket data processing, automation, logging, and real-time notification systems. The solution can include: * Zerodha Kite Connect API integration * Live WebSocket market data handling * Custom strategy engine based on your entry/exit rules * Staged position sizing (100/200/700 shares) * Automated hedge order management * Trade logging and analytics * Telegram alerts for entries, exits, and errors * Backtesting framework with performance reports * Paper trading environment before live deployment * Well-documented, maintainable Python code I would structure the strategy as configurable modules so future rule changes can be implemented quickly without major rewrites. Best regards, Amit G. Kavya Tech Nepal

@AbhyudayaCodes

Hi, Warm Greetings ! First of all, kudos for the truly different kind of innovative project idea. We are a team of expert algo trading systems developers, having vast experience in algo trading field, mainly using Python. We have built the following types of algos: > NSE/MCX/NYSE/Nasdaq Markets > Algos trading F&O, stocks, cryptos & commodities > Indicator/price movement based algos > Multi client systems > Systems with Spreads, Straddles, Iron Flys, Heikin Ashi, Renko, etc. > Algos having extremely complicated logic and signal generation procedures > Have built custom indicators and timeframes > Brokers like IBKR/Oanda/Alpaca/Tastytrade/TOS, Binance/, Zerodha/Fyers/Upstox/Finvasia/XTS, and many more ... > US Backtesters and Stock Screeners The features we provide: > Multiple Instance dashboard > Orderbook and logs for tracking > User friendly UI to manage everything > Emergency Safety buttons > Detailed statistics of the algo as per logic > Paper trading as well as Live trading > Editable input boxes for modifiable parameters The project has many different parts, and the complexity level is also high, but considering our skill set and experience, we think we will be a perfect fit for your project. We will handle the complete process from development and testing till deployment. We focus on delivering quality to our clients, keeping in mind safety, security, aesthetics, scalability. Looking forward to working with you ... Message me to discuss further

@SmartCodeDev

Hello, Experienced Python algorithmic trading developer with strong expertise in Zerodha Kite Connect API, WebSocket market data, and automated trading systems I can build your intraday trading bot with custom entry and exit logic, staged order execution, hedge management, trade logging, and Telegram notifications The solution will support backtesting, paper trading, and live trading modes with clean, well documented, and maintainable code Ready to implement your strategy rules precisely and provide ongoing support for future enhancements and optimization.

@prashanpatel557

Hello, I have extensive experience building Python-based algorithmic trading systems using Zerodha Kite Connect, WebSocket market feeds, automated execution, backtesting engines, and real-time monitoring dashboards. Your project is a strong fit because the strategy framework is already defined, and I can focus on building a reliable, production-ready trading system with proper risk controls and deployment support. What I will deliver: • Zerodha Kite Connect API integration • Live WebSocket market data processing • Automated Buy/Sell execution engine • Previous Day High/Low, Volume Confirmation, Structure Break, and Candle Acceptance logic implementation • Sideways market filter based on volume and price action • Staged entries (100, 200, 700 shares) • Automatic hedge order execution as per your rules • Exit management: * Structure break * Volume fade * Opposite high-volume candle * End-of-day square-off * Paper trading mode and live trading mode * Historical backtesting framework for validation Deliverables: • Well-commented source code • Installation and deployment guide • VPS deployment support • Future enhancement and maintenance support Timeline: 12–20 days Estimated Cost: ₹28,000 – ₹45,000 depending on strategy complexity and testing requirements. A quick question: Is the hedge order executed simultaneously with the stock entry, or only when specific risk-management conditions are met? I can start immediately after reviewing the detailed strategy rules.

@Rsolitario

Hello, I'm a PineScript and Python programmer. I've adapted many of my clients' strategies to platforms like TradingView or custom Python platforms, so I can complete your strategy with clean, functional code for the Zerodha interpreter. Feel free to contact me. Regards.

@webnsoftindia

Hello, I am interested in developing your day-trading stock algorithm. I have experience building custom trading solutions, including algorithmic strategies, technical indicator integration, backtesting systems, real-time market data processing, risk management modules, and automated trade execution. For your project, I can: Develop a robust day-trading strategy based on your trading rules Integrate technical indicators, price action, and volume analysis Implement risk management, stop-loss, and position sizing logic Backtest the algorithm using historical market data Optimize performance and reduce false signals Create a user-friendly dashboard for monitoring trades and results Support integration with broker APIs for automated execution I write clean, scalable, and well-documented code, ensuring the solution is reliable and easy to maintain. I can also provide ongoing support, testing, and strategy enhancements after deployment. I would be happy to discuss your trading methodology, preferred markets, broker integration requirements, and performance goals. Looking forward to working with you. Best Regards, web n soft solution

@emanz03

I can build this as a modular Python Zerodha Kite intraday system with separate layers for market data, strategy logic, execution, risk checks, backtesting, paper trading, live trading, logs, and Telegram alerts. The strategy rules around previous day high/low, volume confirmation, structure break, 2-3 candle acceptance, staged entries, hedge orders, and exit conditions should be coded in a clean rules engine so they can be adjusted later without rewriting the whole bot. I’d first validate the logic in paper/backtest mode, then connect live Kite execution with WebSocket data, order error handling, throttling checks, reconnect logic, trade logs, and documentation for daily use.

@techmadigital

Hi, I’ve built multiple live trading systems for Zerodha, Dhan, Angel One, MT5, and crypto exchanges. Your strategy is only one part of the project. The real challenge is reliable execution, broker reconciliation, session handling, risk management, and recovery from API or internet failures. ✔ Zerodha Kite Connect Integration ✔ Options Trading Automation ✔ VPS Deployment & Monitoring ✔ Real Time P&L Dashboard ✔ Config Based Parameters ✔ Logging & Error Recovery ✔ Auto Start & Safe Market Close Handling I’ve developed 25+ trading bots including options strategies, Supertrend systems, EMA based strategies, TradingView automation, and fully automated execution engines. I can show live bots currently running and help convert your strategy into a production ready system instead of just a script. Let’s discuss your strategy logic on chat.

@Mayurisalgat13

Hello, I can help build your Python-based Zerodha Kite intraday trading algorithm with live market data, paper trading, backtesting, and controlled live execution. I have experience with trading automation, broker API integrations, WebSocket data handling, Python strategy engines, logging, alerts, and risk-controlled execution systems. For this project, my focus will be reliability, clean strategy separation, and safe order execution. I will structure the system so your strategy rules can be modified later without disturbing the core execution engine. Before starting, I would like to review your exact entry, exit, hedge, and risk rules along with expected stock universe and timeframe. Best Regards, Mayuri Python Developer | Trading Automation & API Integration

@nexvative

Hi, I have previously worked on similar systems for trading platforms like dhan and Binance I understand the amount I am proposing is higher than your expected budget, but with this amount comes my experience and faster turn around time for your project also I will remain open for further changes and improvements in your algorithm. If you need to see demos do let me know, and we can set up a call where I show you these systems running. Thank you

@loxtic

Hi, how are you doing? I have considerable experience building automated trading systems in Python with Zerodha Kite Connect, live WebSocket feeds, and automated order execution, plus logging and Telegram alerts. I’ve worked on intraday strategies with staged entries, hedges, and robust backtesting/paper trading modes, and I can deliver clean, well-commented code with installation docs and ongoing support. Let me know further if interested.

@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

@sakshigweb

Hi! Automating intraday logic on Zerodha Kite with WebSocket feeds, staged entries, and structure-break exits is a well-defined Python build — we've worked with API-driven automation at this complexity level. We'll implement: - Kite Connect WebSocket: live tick data, per-timeframe candle construction - Strategy engine: Previous Day High/Low levels, Volume Confirmation, Structure Break detection, 2–3 candle acceptance filter - Order management: staged entries (100/200/700 shares), auto hedge logic, exits on structure break, volume fade, opposite candle, and time-based close - Market condition filter: no trade signals during low-volume sideways sessions - Three modes: backtest (historical data), paper trading (simulated), live execution - Telegram alerts: trade entry, exit, P&L summary, error notifications - Full trade logging with timestamps, order IDs, and exit reasons - Clean, well-commented source code + installation guide I'll personally review your strategy rules with you before coding begins to ensure the implementation matches your exact logic — not a generic interpretation. Quick question — is your strategy timeframe fixed (e.g., 5-min candles) or variable, and do you have historical data ready for backtesting?

@KaleRiddhesh

I have checked every detail of this and I can complete this project in 3-4 Days. For the strategy related thing that will tell us when to when to exit that can be done in TradingView -> Python -> Broker or else directly with Python -> Broker it depends on your overall plan You can click "Chat Now" button to start discussion and complete this project

@dushyant317

I specialize in developing automated trading systems for Indian markets using Python and Zerodha APIs. I can implement your custom price-action and volume-based strategy, including structure-break detection, hedge orders, backtesting, real-time execution, trade analytics, and a scalable architecture for future strategy enhancements.

@CyberSasu

With a strong background in both hardware and software, I believe that I am the perfect fit for your Advanced Zerodha Kite API Intraday Trading Algorithm project. My proficiency in Python 3 and Zerodha Kite Connect API will enable me to build a robust, fully-automated intraday trading system for the Indian Stock market, aligned with your unique trading strategy. Not only do I have experience designing and implementing similar algorithms but my expertise in embedded systems and IoT will ensure that our solution is reliable and scalable for real-time trading. In addition to creating the algorithm, I understand and value the need for thorough logging of trades, notifying important updates via Telegram, staging entries as per your requirements, automatic hedge orders adhering to your custom rules, automatic exit triggers based on structure breaks and volume fade among others, all of which adds significantly to the optimization of trading strategies My proficiency extends beyond just creating the algorithm as I am equipped with in-depth knowledge in Backtesting support and Paper trading mode. This will help us to evaluate and assess the predictive performance of your strategy before deploying it in live market proceedings

@hockfx

You need a fully automated intraday trading algorithm for the Indian stock market using the Zerodha Kite Connect API. This algorithm should execute trades based on a custom strategy and provide logging and notifications. Here is exactly what I would build: - Python 3 implementation - Integration with Zerodha Kite Connect API - Live WebSocket market data handling - Automatic Buy/Sell execution logic - Trade logging functionality - Telegram notification system - Custom trading strategy based on Previous Day High/Low, Volume Confirmation, Structure Break, and 2-3 Candle Acceptance - Staged entries support - Automatic hedge order implementation - Exit conditions based on structure break, volume fade, high-volume candle, and time exit - Backtesting support - Paper trading mode - Live trading mode - Clean, well-commented source code - Installation guide and documentation Timeline: 2 days. Price: 22898 INR. What specific metrics or parameters do you want to include in the backtesting support?

@ELGAMLDev

Hi, From my understanding, the system will be built in separate modules to keep it reliable and easy to maintain as your strategy evolves. First, I'll connect to Kite Connect's WebSocket feed to receive live NSE market data with minimal latency. The strategy engine will continuously monitor Previous Day High/Low levels, volume conditions, structure breaks, and the 2–3 candle acceptance rules before generating any trade signals. Zerodha provides live streaming market data through WebSockets, which is ideal for this type of intraday automation. Once all entry conditions are satisfied, the order manager will automatically execute staged entries (100 → 200 → 700 shares) through the Kite order APIs while tracking execution status and handling rejections or partial fills appropriately. Zerodha's API supports programmatic order placement, modification, cancellation, and order tracking. For risk management, I'll implement your hedge logic, volume-fade exits, structure-break exits, opposite high-volume candle exits, and mandatory end-of-day position closing before market close. One important point I noticed in the latest Kite Connect requirements is that live order placement now requires a registered static IP, so I can also help set up the deployment environment correctly for live trading. This will allow me to convert the strategy into precise trading logic and ensure the live system behaves exactly as intended.