Nifty Options Swing-Trade Backtest

@malviyamanish

Hi lets discuss your requirement i have built before trading system lets connect and discuss further Thanks Manish

@Web1devloper

As an accomplished developer with over 8 years, I have cultivated a unique skill set that specifically aligns with your project needs. My experience in Excel VBA, NumPy, PHP, and Python directly contributes to my proficiency in creating detailed and actionable datasets, which you require for your Nifty Options Swing-Trade Backtest. Throughout my career, I've invested a considerable amount of time on trading-related projects. I possess a deep understanding of Nifty 50 futures and options and have experienced in backtesting technical strategies. In addition to Python- the driving force behind most financial models, I am conversant with TradingView/Amibroker/Excel VBA - the tools that can be leveraged to perform granular analysis for just about any trading strategy. My goal is not just delivering results but actionable and insightful results that would enable your decision-making. With experience in crafting dynamic web and app solutions as well as the ability to deliver clean, executable results - I am eager to leverage my expertise and assist you in backtesting your Nifty 50 Triple Supertrend Strategy leading meaningful insights and conclusions regarding its viability. Let's get started!

@Ussama91

I'll develop a Python script to backtest the 1-Hour Triple Supertrend Strategy on Nifty 50 futures/options, incorporating entry/exit rules and option execution simulation, and deliver detailed metrics and graphical output in Excel/CSV format within the proposed 7-10 day timeline, adapting to the provided budget and requirements. Waiting for your response in chat! Best Regards.

@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.

@bhartimalu

Hello, I am excited to propose my services for your Nifty Options Swing-Trade Backtest project. - I have extensive experience in backtesting trading strategies, particularly with Nifty 50. - My plan includes data collection, strategy implementation, backtesting, and analysis. - I will use Python, Pandas, and backtesting libraries for accurate results. - I estimate a timeline of 2-3 weeks, with regular updates via email or chat. Choose me for my dedication to delivering precise and actionable insights. What specific metrics are you looking to analyze? Do you have any preferred tools for communication? Regards, Bharti M.

@Algokage

Hello, I can efficiently deliver a detailed backtest of your Nifty 50 1-hour Triple Supertrend strategy with options execution simulation. I’ll use Python to implement the strategy, simulate trades, and calculate metrics like net profit, drawdown, and win rate. I’ll also identify sideways periods using ADX and provide actionable recommendations. With 5+ years of experience in backtesting and trading systems, I ensure clean, structured deliverables in Excel/CSV format. Send a message to discuss further or see samples of similar projects. Thanks, Adegoke. M

@GobindSawarn

With my combination of technical skill and trading industry experience, I am the ideal candidate to conduct a detailed backtest of your positional strategy for the Nifty 50 futures/options. As an expert in Python and proficient in both TradingView and Amibroker, I am adept at handling large data sets and extracting actionable insights. Additionally, my Excel VBA mastery ensures I deliver well-structured, easy-to-navigate results that meet your precise needs. Over the course of my career, I've executed backtests on numerous complex strategies facilitating identification of key performance indicators such as Total net profit/loss, Monthly profit/loss, Maximum drawdown, Average win / average loss, Win rate (%), Risk-Reward ratio etc. My extensive knowledge of Nifty 50 futures and options makes me comfortable simulating trades and analyzing equity curves even in volatile or sideways markets. Reach out to me for a comprehensive evaluation of profit potential and risk exposures. Lastly, with my commitment to regular communication, you'll always be well-informed about project progress. My turnkey solutions cater to all your system requirements while ensuring minimal intrusion into your workflow. Investing in my services is an investment in a reliable, scalable software solution that's built for profitability and longevity. I look forward to collaborating with you on this vital project; let's get started!

@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

I understand you require a detailed backtest of your Nifty 50 1-hour Triple Supertrend strategy with options execution simulation, focusing on performance metrics and risk evaluation over the last five years. You need clear entry and exit rules based on three Supertrend indicators, option selling at strikes nearest to the farthest Supertrend, and identification of sideways market periods using ADX or volatility filters. With over 15 years of experience and more than 200 projects completed, I specialize in Python, Excel VBA, and data analysis, which are critical for accurate backtesting and financial modeling. My background includes working extensively with trading strategies, risk management, and financial data processing, ensuring precise and actionable results. I will use Python to process historical hourly Nifty futures and options data, simulate your entry and exit rules, and calculate all requested metrics such as drawdowns, win rates, and monthly P&L. The output will include detailed Excel or CSV files with labeled columns, plus equity and drawdown charts. I can deliver within 7–10 days with regular updates and clarify any questions about your entry and exit conditions before starting. Feel free to discuss any specific details or adjustments you want before we begin.

@agupta2812

Hi there! Good day! I am interested in this project. I am proficient in Excel, Excel VBA, Macros, POWER BI, data scraping, web extraction. I can get fetch the required info. Please reach out to me to discuss further. Best!

@Fel85

Hello, I can deliver a complete, structured backtest of your Nifty 50 1H Triple Supertrend strategy with realistic options execution simulation and detailed performance analytics. Here’s what I will provide: 5-year hourly backtest (Nifty futures + options simulation logic) Accurate implementation of Supertrend (10,4), (7,3), (7,2) CE/PE selling simulation at farthest Supertrend-based strike ADX < 20 sideways filter analysis Capital model: ₹1,00,000 per trade Performance Metrics: Net Profit / Loss Monthly P&L breakdown Maximum Drawdown Win Rate Avg Win / Avg Loss Risk-Reward Ratio Trades per month Sideways vs Trending performance comparison Graphical Reports: Equity Curve Drawdown Curve Monthly P&L chart Deliverables: Excel file with all trades (clear columns & formulas) CSV export Clean Python backtest script (well-structured & extendable) Summary report explaining when the strategy performs well vs poorly I have strong experience in quantitative backtesting, options logic, and risk analytics. Before starting, I will confirm strike selection logic and exit assumptions to ensure accuracy. Ready to begin immediately and provide structured progress updates. Looking forward to working with you.

@JanBruinier

Triple Supertrend on Nifty 1H with options execution sim. I spent 3 years building backtesting systems at a quant firm, so this is right up my alley. I'd use Python with pandas for the backtest engine. Pull historical Nifty 1H candles, compute the three Supertrend bands, then simulate entries on crossover signals. For the options part, I'd model ATM/OTM CE/PE selection based on your entry rules, approximate option premiums using Black-Scholes or historical options chain data if you have it. Output: full trade log with entry/exit timestamps, P&L per trade, drawdown curves, win rate, Sharpe, and a summary report. All in a clean Jupyter notebook you can rerun yourself. Do you have historical options chain data, or should I work with synthetic pricing from the Nifty spot?