I provide weekly S&P 500 predictions and market forecasts using a systematic approach based on data analysis, not headlines or narratives. Each prediction represents a 95% confidence interval for tomorrow's market movements derived from historical patterns and volatility metrics.
I published my first prediction on November 25, 2024 on X.com. Since then, I've been consistently tracking performance and publishing weekly updates.
Learn more about the prediction methodology →🎯 Target range: 4,628–5,822
Markets remain unsettled after Powell's remarks and Trump's latest comments.
While headlines fuel uncertainty, my model stays grounded in data.
Systematic over speculative.
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Get Weekly Updates🎯 Target range: 4,783–5,918
Markets rebounded after the U.S. postponed most tariffs amid bond market stress.
Even China saw temporary relief in selected export segments. Risk sentiment has shown sign of stabilization, but how long will it last?
The macro backdrop remains complex.
My model doesn't react to headlines.
It tracks data. Systematically.
Through noise and narrative, numbers lead.
🎯 Target range: 4,615–5,379
Wider range reflects heightened post-tariff volatility
Markets remain in risk-off mode as structural uncertainty unfolds
My model stays systematic — not swayed by sentiment
How to interpret: The green bands represent weekly prediction ranges for the S&P 500 index. The red line shows the actual closing values. When the red line stays within the green band, the prediction was accurate. A red dot indicates where the actual value fell outside the predicted range.
This visualization demonstrates the model's accuracy. The width of prediction bands reflects expected market volatility for the given period.
My systematic approach to S&P 500 forecasts provides more than just weekly predictions. By analyzing patterns objectively, these forecasts offer valuable insight into the 2025 market outlook without being influenced by headlines or emotional reactions.
The predicted range widths reflect expected market volatility, which can be particularly useful for position sizing and risk management. During periods of higher predicted volatility, these forecasts can help inform hedging strategies or adjustments to portfolio exposure.
When markets deviate from predicted ranges, this often signals fundamental shifts in market dynamics – information that can be more valuable than the predictions themselves. These structured, data-driven forecasts help identify both potential risks and opportunities that narrative-focused analysis might miss.