Python Automation: 4-Leg Nifty Strategy

@bindmission

Hello, I have 10 years of experience in Python automation and developing trading strategies. I can create a Python script that automates your four-leg Nifty options strategy as discussed. This will include real-time execution through your preferred broker API, with basic logging and position tracking. The script will also allow easy adjustments to lot sizes, strikes, and timings. Let's connect on a call to discuss further details. Regards, VishnuLal NB

@Web1devloper

As a seasoned developer with 8+ years in the field, I thrive on challenging projects like yours. My proficiency in Python, JavaScript and API integration positions me well to tackle the intricacies of an automated options strategy on the Nifty index precisely. My previous experience crafting multi-leg option strategy will prove invaluable as I envision creative solutions to meet your needs while ensuring stability and security for real-time execution through your selected broker API. One of my strengths lies in making complex processes user-friendly, and I intend to implement the same for you. By organizing a clean and comprehensible Python script that not only meets your current expectations but also allows easy customization, altering factors like lot size, strikes, and timing without tampering with the core logic won't be cumbersome, enhancing your control over the module. Additionally, my hands-on practice with logging and position tracking can warrant that you can monitor each leg in real-time conveniently. We just need to confirm which broker API you’d prefer and I’ll leverage my prior experience coding on similar platforms to integrate seamlessly. Let's start our journey by discussing your rules in-detail so that I can provide test data that thoroughly showcases the efficacy of the proposed automation strategy. Opting for my skills is ensuring proficient expertise handling your project from inception to completion.

@AbhyudayaCodes

Hi, Sir/Madam ! Warm Greetings !! 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 Markets > Algos trading F&O, Stocks, Spreads, Straddles, Cryptos & Commodities > Indicator/price movement based algos > Desktop/server based > Multi client systems > Systems with Stop loss, Trailing SL, Target Profit, Martingale, Qty Splitter, Multi Timeframe, Stock Screening, etc. > Have built custom timeframes and indicators > Brokers like Zerodha, Fyers, Angel One, IB, etc. > Chart patterns like Heikin Ashi, Renko, Marubozu, etc. The features we provide: > Multiple Instance system > Orderbook and logs built into the system > User friendly UI to manage everything > The algo can be operated from mobile as well > Complete statistics of the algo as per strategy, including running and booked P&L > Paper trading as well as Live trading > Editable input boxes for modifiable parameters No technical knowhow required for operating the algos developed by us. We focus on delivering quality to our clients, keeping in mind safety, security, aesthetics, scalibility, etc. You might get your work done for a cheaper cost from others sir, but you are not gonna get the quality that we provide. Considering our skill set and experience, we think we will be a perfect fit for your project. Looking forward to working with you ... Message me to discuss further

@FreeLancers360

As a seasoned Python developer with an extensive background in automation and software architecture, I am more than equipped to bring your four-leg options strategy for Nifty to life. Having successfully implemented numerous real-time trading systems via broker APIs, I understand the importance of accuracy and efficiency in such projects. My proficiency in Python, along with my strong comprehension of JavaScript, makes me a valuable asset for our project. Not only can I code clean and well-commented scripts that meet your specifications, but I also have experience making these scripts scalable and easy for you to adjust without affecting the core logic. In addition, my team and I are no strangers to creating intricate systems that incorporate various parameters; hence, we're undaunted by the complexity of Nifty trading. Let's connect on your preferred API so that we can analyze the detailed entry, exit, and adjustment rules together, ensuring crystal clear understanding and a successful execution.",

@bhartimalu

Hello, I’m an experienced Python developer with a strong background in automating trading strategies. I can build a clean, well-commented Python script that implements your 4-leg Nifty intraday strategy, integrates with your chosen broker’s API for real-time execution, and includes logging and adjustable parameters for lot sizes and strikes. I’m ready to start and deliver reliable automation quickly. Regards, Bharti

@otusonellp

I appreciate your consideration for your Python Automation project, and I am confident that my extensive experience in coding, particularly with JavaScript and PHP, will be invaluable in the automated setup of your Nifty index options strategy. Building upon a prolific career at OTUSONE where we prioritize delivering high-quality solutions tailored specifically to client's needs, I assure you I can provide you with a clean, well-commented Python script that effectively integrates your defined entry/exit rules to enable real-time execution through your chosen broker API. Additionally, my expertise in mobile app development aligns well with the need for basic logging and position tracking in this project. I have consistently demonstrated an ability to create engaging applications that optimize user-friendliness and performance - attributes that would lend themselves perfectly to the Nifty automated trading system you seek where accurate timing is essential. Moreover, as an IT consultant by profession, my strategic-thinking and problem-solving skills can ensure streamlined processes and enhanced business efficiency for your project. As we progress, I assure you on-time delivery and reliable support ensuring every step has been meticulously handled right from lot size tweaking to strike adjustments without compromising the core logic. Contact me at your earliest convenience and let's catapult your Nifty strategy into the future!

@Algokage

Hello, I have 5+ years of experience in developing automated trading strategies in Python, particularly for options. For your project, I will ensure a clean and well-commented script that adheres to the entry and exit rules we discuss. The program will include real-time execution through your selected broker API and will allow you to adjust parameters easily. Please send a message for samples of similar projects I have completed. Thanks, Adegoke. M

@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

@Hemantt841

Thank you for sharing the details of your Python Automation project for the 4-Leg Nifty Strategy. What caught my attention is your specific requirements for real-time execution and position tracking through a broker API, as well as the need for flexibility in tweaking lot sizes and strikes without affecting the core logic. With over 7 years of experience in software development, I have successfully completed similar projects involving options trading strategies automation. Here's how I would approach this project: - Conduct a detailed consultation to understand the specific entry, exit, and adjustment rules for your Nifty strategy. - Develop a clean and well-commented Python script tailored to your requirements. - Implement real-time execution using the broker API of your choice, ensuring seamless integration. - Include basic logging and position tracking features for easy monitoring. - Create a user-friendly interface for adjusting lot size, strikes, and timing parameters without compromising the core logic. In previous projects, I have built automated trading systems for various financial instruments, including options strategies on specific indices like Nifty. These systems have consistently delivered accurate and reliable results, meeting the unique needs of each client. I am genuinely interested in collaborating on this project and would love to discuss the details fur

@nexbuild

I can build this 4-leg Nifty options strategy automation in Python. My approach: API integration with your broker (Zerodha Kite, Angel One, or Fyers) for real-time options chain data and order placement. Strategy engine implementing the 4-leg structure with configurable strike selection, expiry management, and greeks-based adjustments. Built-in risk controls including max loss limits, position sizing, and automatic square-off at target or stop-loss. Real-time P&L monitoring dashboard with trade logging. I have experience building algorithmic trading systems with Python and can handle the full cycle from signal generation to execution. Clean modular code with documentation.

@mossab11

Hello, I have hands-on experience building automated trading systems in Python, including multi-leg options logic and broker API integrations. For your 4-leg Nifty intraday strategy, I can build a clean, modular Python architecture that includes: • Structured leg management (independent tracking for all 4 legs) • Real-time execution via broker API • Configurable parameters (lot size, strikes, timing rules) • Position logging and live monitoring • Adjustment rule engine (trigger-based logic) • Risk guardrails (max loss, session exit, emergency square-off) I will structure the system in a way that: Strategy logic is separated from execution layer You can tweak strikes and lot sizing without touching core code Logging is clear and session-based Future expansion (additional legs or strategy variations) is easy I can also provide a backtesting-friendly structure if needed. I prefer to discuss the detailed entry/adjustment logic inside the platform before implementation to ensure accuracy. Let’s build this properly and cleanly. Best regards.

@dishaprashar

Hello, I have experience building Python-based automation scripts and working with APIs. I can structure the four-leg strategy into a clean, modular script where entry, exit, and adjustment rules are clearly separated from execution logic. The program will include: • Real-time broker API integration • Structured logging and position tracking • Configurable parameters (lot size, strikes, timing) through a settings file • Proper error handling for API failures I’d prefer discussing the detailed rules via Freelancer chat to comply with platform policies. Once we confirm logic, I can test with sample data before live deployment. Looking forward to working with you