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Sam Bourgi is an analyst, writer and financial market commentator featured in and cited by U.S. Congress, Department of Justice, Chicago Board Options Exchange, Barron's and Forbes. He covers stocks, bonds, mutual funds, ETFs, forex, Bitcoin, cryptocurrency, real estate and macroeconomics. He has written over 25,000 articles and over 40 whitepapers and e-books.
Sigmacast expected range · 7–28-day calibrated zone
Forecast batch: 7/31/26
Market-data read
AAPL reads range-bound — no clean directional character at any horizon (ER 0.36 / 0.14 / 0.05). Recent action is directionless chop rather than a trend. Term-structure band: ±4.6% / ±7.1% / ±10.8% (7/14/28d).
Nested 60 / 80 / 95 calibrated expected-range · centered on current price (gold tick)
Macro correlations · context (not confirmation)
8 correlated indicators
Observed historical correlations, not forward signals.
Positively correlated: UMich Consumer Sentiment (r=+0.79), CB Employment Trends Index (r=+0.78), NAHB Housing Market Index (r=+0.78)
Inversely correlated: Industrial Production MoM (r=-0.84), ISM Services Employment (r=-0.77), Unit Labour Costs QoQ (r=-0.75), Labor Force Participation Rate (r=-0.73), Used Car Prices YoY (r=-0.73)
As of July 31, 2026, AAPL is trading at 305.26. Our multi-model Sigmanomics forecast for this stock generates expected price ranges (magnitude, not direction) across 7-day, 14-day, and 28-day horizons, each with a recent-path character readout. Based on ensemble models including SIGMACAST, Σ-Adaptive, and Σ-Trend with model-agreement confidence bands. Updated daily.
Containment = how often the band held (backtest) — magnitude only, not a directional record.
Forecasts generated by Sigmanomics engine. Not financial advice.
Market-data read
Apple Inc. (AAPL) is a publicly traded stock covered by the Sigmanomics analytics platform. The AAPL stock closed at 305.27 on July 31, 2026, reflecting a decline of 8.56% from the previous close of 333.85. AAPL is listed on the TSX in Canada.
Over the past 30 days, the stock has experienced a modest uptrend with a rally of 2.48%, ranging between 273.75 and 344.57. The price currently trades below its 20-day moving average of 324.21. The 14-day RSI stands at 41.3, in neutral territory, indicating balanced momentum. Among macroeconomic indicators in our coverage, Industrial Production MOM shows the strongest historical relationship with this instrument, negatively correlated (r = -0.84).
Over the same 30-day window, daily-return volatility was 2.61%, reflecting typical price variability for this stock. Across the past 52 weeks, the stock has traded between 201.50 and 344.57, with the current price near the midrange of that range.
Daily-return volatility of 2.61% runs elevated for this stock, so price ranges are likely to stay wide — watch how price behaves around its recent range rather than treating any single level as fixed. AAPL is currently trading 5.84% below its 20-day moving average and sitting in the middle of its 52-week range. Its 14-day RSI reads 41.3, currently in neutral territory. For cross-confirmation, the Industrial Production MOM indicator carries the strongest historical correlation with AAPL (r = -0.84) and is worth watching for context.
Auto-generated from Sigmanomics market data. Last update Jul 2026.
Sigmacast forecasts span six horizons — 30-minute, 1-hour, 2-hour, 4-hour, 12-hour, and daily — refreshed continuously as new bars arrive.Apple Inc. designs, manufactures, and markets consumer electronics, software, and services worldwide. Core product lines include the iPhone, Mac, iPad, Apple Watch, and AirPods; services revenue spans the App Store, Apple Music, iCloud, Apple TV+, and Apple Pay. Apple is one of the largest companies by market capitalization and a member of the S&P 500 and Dow Jones Industrial Average.
AAPL price action is driven primarily by iPhone unit demand and refresh cycles, Services segment growth (App Store, Apple One subscriptions, Apple Pay), Mac and iPad seasonality, Greater China revenue trends, and broader Nasdaq / tech-sector sentiment. Quarterly earnings surprises and guidance updates are the largest single-day catalysts.