Mag 7 Trading

About Our Model

Our model is a comprehensive, data-driven system designed to analyze the "Magnificent 7"—the core stocks driving the S&P 500. Developed in R and built in a Positron environment using a Quarto (qmd) file, it consists of roughly 2,000 lines of code. The system integrates live price data from Yahoo Finance and economic indicators from FRED, delivering interactive charts and updated analysis each time the code is run.

Key Features include:

Dynamic Data Integration:
Automatically pulls and processes live market data and economic metrics, ensuring real-time insights.
Robust Quantitative Analysis:
Blends macroeconomic trends with composite technical signals (e.g., SMA, EMA, MACD, RSI, Bollinger Bands, ADX, volume, ROC) to generate actionable portfolio recommendations.
Weekly Rebalancing:
Collects all pertinent market information until Wednesday’s close; trade decisions are then executed at the open on Thursday, capturing the most current market conditions.
Interactive Reporting:
The model outputs a text file with interactive charts that clearly display performance metrics and market comparisons, making complex data accessible and actionable.

This system encapsulates a disciplined, transparent approach to quantitative investing, empowering investors with a dynamic framework that adapts to evolving market conditions.

Our Approach

Focused on Market Movers:
We target the “Magnificent 7”—the core stocks powering the S&P 500—to harness the momentum of the market’s most influential players and drive superior returns.
Disciplined, Dynamic Rebalancing:
Our model systematically gathers data until Wednesday’s close and then executes trade decisions at the open on Thursday. This weekly rebalancing, based on a blend of live market data and quantitative signals, keeps the portfolio agile and risk-adjusted.
Data-Driven Insights:
Utilizing real-time information from Yahoo Finance and FRED APIs, our proprietary quantitative framework converts complex market trends into clear, actionable signals, enabling objective and timely investment decisions.

Our Commitment

We are dedicated to empowering you with clear insights and robust tools to navigate the dynamic landscape of market-moving stocks. Our investment process is built on disciplined, data-driven analysis that prioritizes both safety and reliability. We strive to make complex market trends accessible, enabling you to make informed decisions with confidence. For an in-depth look at our analysis and performance, please explore our sample newsletter on the Report page.

Team

Our team is led by Nicolas Benedeti, a dedicated quantitative analyst and investor currently studying at the University of South Florida. With extensive training in investment analysis, big data, machine learning, data science, and accounting, Nicolas combines rigorous academic expertise with hands-on experience in quantitative strategy development. His approach, centered on the "Magnificent 7" stocks, has delivered nearly 300% profit over the past four years. Committed to continual learning and transparent investing, Nicolas strives to make sophisticated market insights accessible, empowering investors to make disciplined, results-driven decisions.

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