Data Collection:
We collect market data and key indicators from Yahoo Finance and FRED APIs until Wednesday’s close. This ensures we have a full picture of recent price movements and economic conditions.
Analysis & Decision-Making:
Using our proprietary model, we blend macroeconomic trends with composite technical signals to create actionable insights for the coming week.
Execution:
Trades are executed at the open on Thursday, ensuring decisions are based on up-to-date market information while minimizing intraday noise.
This realistic, weekly routine keeps our strategy clear, timely, and actionable.
We start by assessing the broader economic environment using key indicators sourced from FRED:
GDP Growth: Measured year-over-year, this indicator helps us gauge the pace of economic expansion.
CPI Inflation: By tracking inflation, we understand pricing trends and purchasing power.
Unemployment Rate: Reflects the strength of the labor market.
Market Volatility (VIX): Acts as a proxy for market uncertainty and risk.
These indicators are converted into scores (ranging from 0 to 1) to quantify economic conditions. We further refine our view by incorporating:
A S&P 500 Trend Score based on its 200-day moving average, and
A measure of Market Breadth among the Magnificent 7 stocks.
These components combine into an overall Economic Score. This score directly influences our cash allocation by applying the formula:
Cash Allocation = 100 − 100 × (Economic Score)^1.75
In adverse economic conditions (or if the VIX exceeds a critical threshold), our model shifts more capital to cash—preserving capital until conditions improve.
Parallel to our economic evaluation, we perform in-depth technical analysis on each of the Magnificent 7 stocks using a suite of indicators:
EMA Crossovers (7-day vs. 20-day): These provide rapid signals of upward momentum.
SMA Crossovers (50-day vs. 200-day): Capture longer-term trends and potential reversals.
MACD & RSI: Combined to gauge momentum shifts and detect overbought or oversold conditions.
Bollinger Bands: Identify when a stock’s price is deviating from its typical range.
ADX & Volume Signals: Validate the strength of trends and ensure that moves are supported by trading activity.
Each indicator is assigned a base weight (for example, 0.25 for SMA, 0.20 for EMA, and so on) that may be adjusted based on economic conditions. These weighted technical signals are then normalized to produce a Technical Score for each stock. The relative technical scores determine the allocation of the non-cash portion of the portfolio, with individual stock weights capped to prevent overconcentration.
Our portfolio is rebalanced weekly, ensuring that our allocations always reflect current market conditions:
Dynamic Adjustments: The model recalculates both economic and technical scores each week, adjusting the cash position and reallocating funds among the Magnificent 7 accordingly.
Risk Control: If technical signals indicate a “death cross” or trigger specific cautionary flags (such as a combined MACD-RSI signal), the system reduces exposure to that stock.
Real-World Execution: Trades are executed using realistic pricing (market open prices and the next available trading day’s price), thereby minimizing slippage and aligning with actual market conditions.
By marrying macroeconomic insights with high-frequency technical signals, our approach is designed to capture the superior returns of the Magnificent 7 while protecting your capital in volatile conditions. This disciplined, data-driven model continuously adjusts to market dynamics—ensuring that every rebalancing is both timely and rigorously justified. With Mag 7 Trading, you gain not only exposure to the market’s top drivers but also a sophisticated mechanism for managing risk and seizing opportunity.