Indian Intraday Algo Strategy

@Milvetti

Hi, we can help you with your intraday Indian markets algo; stocks/options/futures; Kite Connect; backtests; dash; risk. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@MqlcoderHub

Hi there, I can build your intraday trading algorithm for Indian markets with a modular Python setup, combining technical + fundamental logic, risk management, and broker API integration (Kite/Upstox). Approach: structured modules (data, signals, execution, logging), with backtesting + walk-forward validation before live deployment. Quick questions: • Which broker API will you use? • Do you already have strategy rules defined? • Do you prefer a dashboard or simple logs? Let’s discuss in chat.

@hotanloc

Hello, I have already completed a similar project successfully two days ago Please take a look my last freelancer. Your project matches my experience very well, and I will do my best to meet all your requirements. Please feel free to check my portfolio and client reviews related to desktop application development. I carefully reviewed your project description and I have strong experience in developing both desktop applications and command-line interface (CLI) programs. Previously, I developed a Tomato Size Analysis Windows application, which is included in my portfolio. This project involved image processing and data analysis. My core programming skills include: • Python • C / C++ • MATLAB With my experience in software development and algorithm implementation, I can deliver a high-quality solution within the required timeframe. I am confident I can complete this task efficiently and provide reliable results. Please send me a message so we can discuss the project in more detail. Thank you, and I look forward to your reply.

@Shrutibimpl

Hello, I will develop the intraday trading algorithm in a popular programming language, ensuring it integrates smoothly with Kite Connect. I will implement a modular logic that combines technical indicators with fundamental filters to select high-probability setups across stocks, futures, and options. The system will include a back-testing engine to validate the strategy against historical data and a walk forward module to confirm its robustness. I will also build a lightweight dashboard to monitor your live trades and P&L in real time. To handle the practicalities of the Indian market, I will incorporate safeguards for slippage, automated position sizing, and error recovery to manage connectivity issues. This will provide a fully automated, hands-off execution experience that complies with local exchange rules. 1) Which specific technical indicators do you want to prioritize for the entry signals? 2) Do you already have an active Kite Connect subscription and API credentials? 3) What is the specific source you use for your fundamental data filters? Thanks, Bharat

@vishal1145

Your strategy will fail if the broker API throttles requests during high-volatility periods or if your position sizing doesn't account for NSE circuit breakers. I've built 4 algo systems for Indian markets that handle 200+ trades per day without missing fills. Before architecting this, I need clarity on two things - what's your average capital allocation per trade, and are you planning to run this on NSE/BSE equity segments only or also MCX derivatives? The risk parameters change completely if you're trading Bank Nifty options versus cash equities because of different margin requirements and liquidity profiles. Here's the architectural approach: - PYTHON + KITE CONNECT API: Build the core engine with WebSocket streaming for tick-by-tick data, implementing token bucket rate limiting to stay under Zerodha's 3 requests/second cap and avoid API bans during market open. - BACKTESTING + WALK-FORWARD: Use Backtrader framework with NSE historical data adjusted for corporate actions, running 252-day rolling windows to validate alpha decay and ensure your Sharpe ratio holds above 1.5 across different volatility regimes. - RISK MANAGEMENT MODULE: Implement circuit breaker logic that auto-squares off positions if drawdown exceeds 3% intraday, plus position sizing based on ATR so you're not overleveraged when implied volatility spikes 40% during RBI announcements. - C++ EXECUTION LAYER: Wrap time-critical order placement in C++ to reduce latency from 50ms to under 10ms, critical for scalping strategies where 2-tick slippage kills profitability. - REAL-TIME MONITORING: Deploy a Flask dashboard showing live P&L, order rejection rates, and API health checks, with Telegram alerts for failed orders or connectivity drops so you're not blind during market hours. I've deployed similar systems for 3 prop desks trading Indian F&O that processed ₹2Cr daily turnover without exchange penalties. I don't take on projects where the risk framework is an afterthought - let's schedule a 20-minute call to walk through your indicator logic and confirm your broker's API supports bracket orders before we start coding.

@prashanpatel557

Hello, I can develop a complete intraday trading algorithm for the Indian market with robust strategy logic, backtesting, and live deployment readiness. Approach: 1. Strategy Design Build a rule-based system combining: • Technical indicators (EMA, RSI, VWAP, price action) • Fundamental filters (sector strength, index bias, volatility conditions) Designed to adapt across stocks, options, and futures. 2. Backtesting & Validation Develop a backtesting engine using historical NSE data. Include: • Entry/exit logic validation • Risk-reward analysis • Drawdown, Sharpe, win rate • Walk-forward testing to ensure robustness. 3. Execution System Python-based engine integrated with Kite Connect (or similar broker API). Handles: • Real-time data ingestion • Order execution • Position tracking • Auto square-off and risk checks. 4. Risk Management Built-in safeguards: • Position sizing per trade • Slippage handling • Max drawdown / daily loss limits • Connectivity recovery and retry logic. 5. Monitoring Dashboard Lightweight dashboard (Streamlit) showing: • Live trades and P&L • Execution logs • Error alerts. Deliverables: 1. Full Python source code 2. Backtest reports and strategy documentation 3. Broker integration setup guide 4. Walkthrough session for deployment The system will be modular so you can extend strategies or switch brokers easily. Ready to discuss your preferred indicators and capital allocation rules.

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@Algokage

Hello, I can deliver an intraday trading algorithm tailored for the Indian market, blending technical indicators with fundamental filters for adaptability. My approach includes clean, well-commented code, robust back-tests, and a lightweight dashboard for real-time monitoring. I’ll ensure safeguards for slippage, position sizing, and connectivity drops, complying with Indian regulations. With 5+ years of experience, I’ll provide full source code, documentation, and setup guidance. Message me for samples or a quick demo to discuss further. Thanks, Adegoke. M

@msaadarshadkhan

Hi there, I am ready to start Indian Intraday Algo Strategy. I have 4+ years of experience in C Programming and Python, so I already have a clear idea of how to approach this efficiently. just close your eyes and trust me, you will be happy. You can check my past Algorithm and C Programming projects here: https://www.freelancer.com/u/msaadarshadkhan Lets Start?

@Hemantt841

You have a clear vision for an intraday trading algorithm that blends technical indicators with fundamental filters for the Indian market, which is a sophisticated approach. I understand you need a fully automated system running live across stocks, options, and futures with robust backtesting and real-time monitoring. Your requirements for a clean, well-commented codebase with a defined rule-set, comprehensive back-tests including walk-forward validation, and a lightweight dashboard for live trade monitoring are essential for reliable execution. I also note your emphasis on safeguards for slippage, position sizing, connectivity issues, and compliance with Indian exchange regulations, as well as deployment support for broker APIs like Kite Connect. I have built similar algorithmic trading systems using Python that include technical and fundamental filters, with fully automated execution and risk management modules integrated into broker APIs. I delivered detailed backtesting reports and lightweight dashboards for real-time monitoring, and I have experience deploying these solutions with proper error handling to ensure smooth live trading. I can deliver the complete system, including source code, documentation, and a walkthrough session, within four weeks. Let’s discuss the details to tailor the solution precisely to your needs.

@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

@shahnaitik

Hello Sir, I carefully review your project details with 10+ years of extensive experience in the Stock broking and Trading Industry. I have worked extensively with Jainam broking Ltd firms, delivering scalable, low-latency systems that handle real-time execution, risk management, and seamless broker API integrations. I have worked on multiple live trading solutions in the Indian market (NSE/BSE/MCX), where precision, speed, and compliance are critical—so I fully understand the expectations around robustness, automation, and risk control. You can check my profile: https://www.freelancer.com/u/shahnaitik I would love to show you a quick demo or walk you through similar work I have done. I am confident that it is the right fit for your work. Let’s discuss this over a call, and I can contribute to the success of your projects. Regards, Naitik S.

@anilptk

Hello Sir I am interested in your project and confident I can deliver exactly what you need. I have completed many similar projects and always focus on quality, speed, and clear communication. Why choose me: • Quick response and regular updates • High-quality professional work • 100% client satisfaction We are an expert team which have 12 years of experience on C Programming, Python, C++ Programming "I have a couple of ideas on how to optimize the C Programming, Python, C++ Programming let’s discuss them in the chat." Warm regards, Anil Saini

@niveditaj1

Hello, I specialize in quantitative development within the Indian ecosystem and can deliver a robust, end-to-end solution tailored to your multi-asset requirements. Key Questions 1) Do you have a preferred provider for real-time fundamental data (like Trendlyne or Tijori), or should we rely on NSE’s daily corporate filings and historical PE/PB ratios integrated via your broker? 2) Should the algorithm manage positions on a portfolio-wide level (a total daily stop-loss across all segments) or purely on a per-instrument basis? Thanks, Nivedita

@mrkk4ever

Dear Client I saw your requirements regarding to develop a auto trading bot for intraday 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

@PyMLExpert1

With my robust experience in Python and Machine Learning, I am confident that I can successfully deliver the intraday trading algorithm you need for the Indian market. My proficiency in architecting and deploying end-to-end AI solutions is perfectly aligned with your project requirements. Having designed numerous complex algorithms and worked extensively with large-scale data, I understand the nuances involved in blending reliable technical indicators and fundamental filters to adapt to changing market conditions. Moreover, my solid grasp of Python means that I have a deep understanding of its libraries relevant for this project: for instance NumPy, Pandas, Matplotlib, and YFinance. This allows me to not only deliver clean, well-commented code but also configure a lightweight dashboard or log output to suit your needs for real-time monitoring of trades and P&L. Lastly, my prior experience with compliance as well as risk management could prove useful in speeding up delivery. I am committed to ensuring my solutions always comply with regulatory measures, and I have a comprehensive understanding of risk factors and their mitigation strategies. Rest assured, your project will be delivered on time and meet all your expectations from slippage safeguards to position sizing parameters. Let's set up a call or screen share soon so I can present how your project will be handled.

@niketu88

Hi, I can develop a complete intraday trading algorithm for Indian markets (stocks, F&O) with a structured approach combining technical indicators and fundamental filters for adaptive performance. I will build a clean, rule-based strategy with proper entry/exit logic, risk management, and position sizing, followed by robust backtesting and walk-forward validation to ensure stability in live conditions. The system will be implemented in Python with broker API integration (Kite/Upstox) for automated execution during market hours. Additionally, I’ll include real-time logging/dashboard to track trades, P&L, and errors, along with safeguards for slippage, connectivity issues, and auto recovery. The code will be well-documented and modular, making it easy to tweak strategy parameters or extend functionality later. I have experience in algorithmic trading systems, Indian broker APIs, and strategy development, and I’ll also guide you through deployment and live setup. Looking forward to working with you.

@arvinjay007

Hi there, I see you need a complete Indian intraday algo strategy that blends technical indicators with fundamental filters while running live across stocks, options, and futures. For the past 5 years, I’ve been building exactly these types of adaptive, API‑integrated trading systems for Indian markets, so I can address your need for a robust and regulation‑compliant setup immediately. I will structure the rule‑set, implement indicator logic, integrate the fundamental screens, run historical and walk‑forward tests, and code the full automation with safeguards for slippage, position sizing, and connectivity drops. I’ll also provide a lightweight dashboard and guide you through deployment on Kite Connect or a similar API. Thanks, Arvin Jay

@mutahrar

Hello, I am a quantitative developer with extensive experience building production-grade intraday trading algorithms for the Indian market, including stocks, options, and futures. I will develop a complete system that blends reliable technical indicators like momentum and mean reversion with fundamental filters to adapt to changing market conditions. Using Python with Pandas for backtesting and integration with broker APIs like Zerodha Kite Connect , I will create a clearly defined rule-set with robust historical backtests and walk-forward optimization to confirm strategy robustness . The system will include comprehensive safeguards for slippage, position sizing, and connectivity drops, and will fully comply with Indian exchange regulations including SEBI's framework for automated systems, order-to-trade ratio monitoring, and the mandatory 10 orders-per-second threshold . A lightweight dashboard will provide real-time trade monitoring, P&L tracking, and execution logs, with deployment guidance for connecting to Kite Connect or an equivalent Indian broker API. Final deliverables include full source code, documentation of indicator calculations, and a walkthrough call before going live.