NSE Day-Trading Strategy Developer

@MQamar123

As an experienced tech enthusiast who has worked in fin-tech for over seven years, I possess the technical know-how and strategic acumen to excel in crafting intricate trading algorithms. Your project, needing a comprehensive yet efficient intraday trading strategy for Indian equities on NSE, perfectly fits my expertise. I have extensive experience collaborating with Indian brokerage API's and analyzing local market nuances, and I believe these elements are crucial for developing a robust and profitable system. With a keen eye on time management and quality output, I assure you the delivery will be prompt without any compromise on the project's integrity. As an added asset, I've successfully created several intraday strategies on NSE which are remarkable in their performance as indicated by diverse performance metrics such as win rates and average R/R ratios. By choosing me for this project, you can be certain of a highly reliable solution that not only meets but exceeds your expectations from the days of principles development till deployment. Let's embark on this journey to build something astonishingly viable specifically for the Indian market now!

@prashanpatel557

Hello, I’m an India-based algo trading developer with hands-on experience in NSE intraday equities and index derivatives, including NIFTY/BANKNIFTY. I’ve worked extensively with Zerodha, Upstox, and Alice Blue APIs, and I understand Indian market microstructure, volatility patterns, opening behaviour, circuit rules, lot sizes, and intraday risk constraints. What I’ll deliver: 1. Clear rule-based intraday strategy – Stock/index selection logic – Precise entry & exit rules (time + price based) – Position sizing and strict risk controls suitable for NSE 2. Back-testing – Minimum 1 full year of intraday NSE data – Metrics: win rate, avg R/R, max drawdown, equity curve 3. Production-ready code – Python (preferred) / Pine Script / AFL as needed – Clean, commented, and easy to maintain – Ready for live deployment without rewrites I focus on practical, executable strategies, not overfitted ideas. If you want, I can also align the logic directly with your preferred broker API.

@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

@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.

@mrkk4ever

Dear Client I saw your requirements regarding to develop a auto trading bot for Intraday Trading on NSE INDIA exchange 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’d be glad to take up this project. I specialize in building rule-based intraday trading systems for Indian equities and index derivatives with full automation, backtesting, and broker API deployment. I understand the requirement is not just strategy design, but a production-ready, backtest-validated system that can be deployed live without rewrites — covering selection, execution speed, and India-specific brokerage nuances. ? My Understanding of Your Requirement You’re looking for: • A clearly defined intraday day-trading strategy (stocks + indices) • Rule-based entries & exits (no discretion) • Position sizing & risk framework • Backtesting on ≥ 1 year NSE intraday data • Performance metrics (Win rate, R/R, Drawdown, Accuracy) • Live-deployable automation via broker APIs ?️ Technology Stack I Work With I regularly build trading systems using: • Python — Strategy logic, backtesting, live bots • Backtrader / Vectorbt / Custom engines — Intraday backtests • Pine Script — TradingView signal prototyping • AmiBroker AFL — Fast NSE data backtesting • TA-Lib / Pandas / NumPy — Indicator & data processing Broker/API integrations: • Zerodha Kite Connect • Upstox API • Angel One SmartAPI • Alice Blue / Shoonya • Delta Exchange (crypto derivatives) So deployment on Indian brokers is fully covered.

@MuhammadAsad108

✔ I deliver 100% work — 99.9% is not for me. ✔ Workflow Diagram Market Data Collection ⟶⟶ Stock & Index Selection ⟶⟶ Rule-Based Entry/Exit Logic ⟶⟶ Position Sizing & Risk Controls ⟶⟶ Backtesting & Metrics Analysis ⟶⟶ Strategy Refinement ⟶⟶ Production-Ready Deployment Key Highlights ✔ Intraday NSE Strategy — rule-based system for equities and index derivatives. ✔ Broker Integration Ready — compatible with Zerodha, Upstox, Alice Blue APIs. ✔ Back-Tested — tested on at least one year of intraday data. ✔ Clear Documentation — logic, entry/exit rules, risk parameters, and deployment instructions included. ✔ Flexible Stack — Python, Pinescript, or AFL; code is production-ready and maintainable. ✔ Risk Management — position sizing and stop-loss rules tailored to Indian market volatility. ✔ Performance Metrics — win rate, average R/R, drawdown, and trade analytics delivered. Best Regards, Asad FinTech Strategy & Algorithmic Trading Expert

@nexheventm

Hello We are **nexheven**, and we have hands-on experience building **rule-based intraday trading strategies for the Indian NSE**, with a strong understanding of local market behavior, risk management, and broker APIs such as **Zerodha, Upstox, and Alice Blue**. We can design a complete day-trading system covering stock/index selection, precise entry–exit rules, position sizing, and strict risk controls, documented clearly and coded in **Python / Pine Script / AFL** so it can be back-tested and deployed live without rewrites. We can deliver an initial strategy outline quickly, run back-tests using at least **one year of NSE intraday data**, and provide a production-ready script with setup instructions, along with performance metrics like win rate, R:R, and drawdown for your review. Thanks & Regards **nexheven**

@srivastavapulki3

Hi, I’m an Jaipur-based algo trader and fintech developer with hands-on experience building rule-based intraday strategies for NSE equities and index derivatives. I actively work with Indian market microstructure, brokerage APIs, and execution constraints, so latency, slippage, and risk controls are built into my approach from day one. For this project, I will deliver a clearly defined, fully documented intraday trading system covering: Stock/index universe selection (liquidity & volatility filters) Precise entry/exit logic with time-based and risk-based exits Position sizing aligned to Indian market volatility Strict intraday risk management (max loss, trade limits, no overnight carry) Delivery plan (ASAP-ready): Day 1–2: Strategy outline, rules, and assumptions Day 3–4: Backtesting using 1+ year NSE intraday data with full performance metrics (win rate, R/R, drawdown) Day 5–6: Production-ready Python script with clean structure, comments, and setup instructions I routinely work with Python, Pandas, NumPy, and can integrate with Zerodha / Upstox / Alice Blue APIs. The final solution will be easy to maintain, extensible, and deployment-ready without rewrites. If needed, I can also share sample backtest summaries or screenshots from similar NSE intraday systems. Happy to discuss your preferred instruments (NIFTY, BANKNIFTY, stocks) before starting. Looking forward to building something profitable for the Indian market. Best regards, Pulkit Srivastava

@owaischaudhary00

“India-focused developer. Will create NSE intraday system (entries, exits, sizing, risk), backtest on 1-year data and deliver production-ready Python/Pine/AFL code for Zerodha/Upstox.”

@arshdeepk49

Hi, I’m **Arshdeep Kaur**, a **FinTech-focused developer with 5+ years of experience** building rule-based trading systems, backtesting frameworks, and production-ready automation for Indian markets. I work extensively with **NSE equities and index derivatives** and am familiar with **Indian brokerage APIs** (Zerodha/Upstox/Alice Blue), exchange timings, lot sizes, margins, and intraday constraints. For your requirement, I’ll deliver a **clearly defined intraday strategy** covering instrument selection (stocks/indices), **precise entry–exit rules**, **position sizing**, and **risk management tuned to NSE volatility**. The logic will be **fully documented and coded** so it can be back-tested and deployed live without rewrites. I can deliver quickly: * **Strategy outline & draft rules:** 2–3 days * **Backtest (≥1 year NSE intraday data):** 3–4 days * **Production-ready code (Python / AFL / PineScript):** 2–3 days You’ll receive performance metrics (win rate, R/R, drawdown) and clean setup instructions. I’m ready to start immediately.

@RakeshC495

Starting fresh each day, I build systems that trade stocks using clear rules. My work ties together code, numbers, and live market moves on India’s main exchange. Rules decide when to jump in, when to step back, how much to risk, and where safety matters most. Coding runs through everything - clean logic written in Python shapes every move. Automation handles tasks so decisions stay sharp and timely. Strategy grows from testing patterns, not guesses. Risk stays low by design, never left to chance. Expect a full trading setup showing clear rules. One year of minute-by-minute test outcomes comes along. Code arrives ready to run, written in Python, Pine Script, or AFL - your call. Built so it slides smoothly into Indian platforms like Zerodha or Upstox. Expect numbers like how often trades succeed, profit versus loss size, plus drops in account value - each comes with straightforward steps to apply them. Real-world results matter more than perfect past patterns, so the system grows without breaking when used heavily. Clear directions follow, built to work outside backtested history. Execution stays practical instead of chasing ideal conditions that never repeat. Setup details arrive simply, avoiding complex tweaks nobody needs. Fresh off the mark, I move fast to shape an intraday setup that earns in India’s trading scene. Speed meets purpose when crafting strategies meant to last through market swings.

@sinchana0123

Hello, I can design a rule-based intraday trading strategy for NSE equities and index derivatives, fully documented, back-tested, and coded in Python. Deliverables: Clear entry/exit rules with risk & position sizing Backtest using 1 year of NSE intraday data Performance metrics (win rate, R/R, drawdown) Production-ready Python code with setup documentation Stack: Python (pandas, NumPy), NSE intraday data, broker-ready architecture (Zerodha / Upstox compatible). I focus on realistic, maintainable systems—not overpromised results—and can deliver the initial outline quickly, followed by backtests and final code.