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I want to quantify how my point-and-figure rules perform on a set of individual equities. I will supply the daily price history in a simple CSV format (or you can fetch it yourself through yfinance, Quandl, etc.). Your task is to build a clean, reproducible back-test that lets me tweak box-size and reversal parameters and immediately see updated results. At the end of each run I need the script to return: • Win/Loss ratio • Return on Investment (ROI) • Max Drawdown Python is preferred because I already work with pandas, NumPy and Jupyter, but I am open to R or a platform such as AmiBroker if full source code and step-by-step instructions come with the delivery. A modular design that separates data import, point-and-figure plotting, signal generation and performance reporting will make future tweaks easier. The back-test should: – Process roughly 100 tickers over 10-20 years of daily data without choking on memory or speed. – Produce a concise trade log and a summary CSV with the three metrics above. – Match trades to conventional point-and-figure charts on random spot checks; accuracy in the plotting routine is essential. Deliverables • Well-commented source code or notebook • Brief README explaining setup and how to change parameters • Sample output files (trade log and metrics summary) Once this baseline is working we can explore position sizing, portfolio-level analytics and additional entry filters, but the first milestone is a solid, repeatable back-test returning those three core metrics.
ID do Projeto: 39968739
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7 freelancers estão ofertando em média ₹12.773 INR for esse trabalho

Hello there , Good morning! Already Have Something Live to show you I am professional mobile computer programmer with skills including Pandas, Financial Analysis, Data Analysis, Software Architecture, Backtesting, NumPy, PHP, Data Visualization, JavaScript and Python. Please send a message to discuss more about this project. Appreciate your prompt response
₹600 INR em 4 dias
4,5
4,5

Hi there, I am excited about the opportunity to develop a robust point-and-figure stock back-testing system tailored to your specifications. With a strong background in Python and extensive experience using pandas and NumPy for financial analysis, I am confident in my ability to create a clean and modular design that will meet your needs. I will build a back-testing script that enables you to adjust box-size and reversal parameters in real-time, producing essential metrics like Win/Loss ratio, Return on Investment (ROI), and Max Drawdown efficiently, even when processing a large dataset of 100 tickers spanning 10-20 years. The modular architecture will facilitate future enhancements, ensuring your system remains flexible and scalable. I can deliver well-commented source code or a Jupyter notebook, along with a comprehensive README and sample output files, to ensure clarity on setup and parameter adjustments. Once we have established a solid baseline, we can explore further enhancements such as position sizing and portfolio analytics. What do you think about starting the initial phase of this project soon?
₹14.210 INR em 1 dia
4,2
4,2

As a seasoned full-stack developer with a strong command of Python, I am perfectly placed to design and implement your point-and-figure stock testing process. My expertise using Pandas and NumPy in combination with handling large data sets will ensure that your 20 years of daily data for roughly 100 tickers are processed smoothly without sacrificing speed or memory. Also, given that you are already working with similar tools like Jupyter Notebook, this will make it really convenient for us to maximize the efficiency of our collaboration. My clients consistently value my clear communication skills and dedication towards project completion within deadline. You can be confident in my ability to supply well-commented source code and step-by-step instructions and explanations for every part of the deliverables ensuring ease should you wish to tweak parameters or expand functionalities post project launch. Moreover, as your satisfaction is my topmost priority, my work won't be done until you are fully satisfied with the results. In essence, my vast experience in developing modules that handle complex data processing tasks, matching trades accurately to customary figures and delivering precise and clean outputs makes me the ideal candidate for this project. Partnering with me will harness not just technical expertise but also strategic thinking when it comes to scalability, reliability, and performance. Let's collaborate and make your back-test as solid and repeatable as possible!
₹10.000 INR em 7 dias
3,5
3,5

Hello, With 4+ years of experience in financial data analysis and back-testing, I’m well-equipped to deliver a robust point-and-figure back-test solution. I’ll use Python, leveraging pandas and NumPy for efficiency, to create a modular script that separates data handling, chart plotting, signal generation, and performance reporting. This design ensures scalability for 100+ tickers and 10-20 years of data, with a focus on memory and speed optimization. The script will include parameter tweaking for box-size and reversal, and output win/loss ratio, ROI, and max drawdown in a summary CSV. Accuracy in trade matching and plotting will be prioritized. Deliverables include well-commented code, a README, and sample outputs. If this aligns, I’d be happy to share samples of similar projects. Thanks, Adegoke. M
₹15.000 INR em 3 dias
3,1
3,1

Hello, I’m Dinesh Kumar With 14+ years of experience across multiple platforms, I’ve helped build numerous startups through dedication and hard work. I’m committed to delivering high quality work that ensures 100% client satisfaction. Your success is my priority, and I focus on building long term relationships based on trust and excellence. Expertise: Web & App Development – React.js, Node.js, JavaScript, PHP, MySQL, WordPress, Magento, CodeIgniter, Shopify, .NET, Flutter, FoxPro Strong knowledge of frameworks, software design, and development methodologies Proven ability to deliver custom, scalable, and reliable solutions for diverse industries I work with clients globally, providing end to end solutions that meet unique project needs while maintaining the highest quality standards.
₹12.800 INR em 7 dias
1,1
1,1

I can build a clean, modular, and fully reproducible Python back-test for your point-and-figure strategy, using pandas, NumPy, and efficient data-handling to process 100+ tickers across 10–20 years of daily data. The system will separate data import, P&F construction, signal generation, and performance reporting, making parameter tweaks (box size, reversal) instant and transparent. Each run will output Win/Loss ratio, ROI, Max Drawdown, a clear trade log, and a summary CSV. You’ll receive well-commented code or a Jupyter notebook, plus a simple README for setup. Accuracy and chart-matching will be prioritized throughout. I’m ready to begin.
₹11.800 INR em 5 dias
0,0
0,0

India
Membro desde nov. 6, 2016
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