π Weekly Feedback β 2026-09-13
π Top 10 Weekly Setups
V: π¦ Weak (<0.5x ATR) (-1.23%) MSFT: π¦ Weak (<0.5x ATR) (-0.81%) ACN: π¦ Weak (<0.5x ATR) (-1.51%) AAPL: π Normal (ATR) (3.84%) NVDA: π Normal (ATR) (-5.24%) ZETA: π¦ Weak (<0.5x ATR) (-3.73%) ADBE: π Normal (ATR) (-5.36%) SKHY: π Normal (ATR) (7.38%) SMTC: π Normal (ATR) (13.08%)
π§ GPT Summary of Top 10
1. **Weak Movements**: Several stocks, including V, MSFT, ACN, and ZETA, are showing weak price movements, staying within less than 0.5 times their average true range (ATR). This suggests a period of consolidation or low volatility for these stocks, with minimal price changes over the week. These stocks also recorded slight declines, indicating a lack of bullish momentum.
2. **Normal Volatility**: AAPL, NVDA, ADBE, SKHY, and SMTC demonstrated normal volatility, moving within their typical ATR. However, the outcomes differ:
– **AAPL** experienced a modest gain of 3.84%, suggesting some positive market sentiment or reaction to news/events.
– **NVDA** and **ADBE** encountered significant declines of over 5%, highlighting potential profit-taking or negative news affecting their performance.
– **SKHY** and **SMTC** stand out with notable gains of 7.38% and 13.08%, respectively, indicating strong bullish trends. SMTC, in particular, shows the most significant upward movement, which could suggest a breakout or strong market interest.
In summary, while some stocks are experiencing subdued activity, others like AAPL, SKHY, and SMTC are showing stronger moves, with SMTC being the most notable for its double-digit percentage gain. The mixed performances suggest varying investor sentiment and potential opportunities for swing traders looking for volatility and momentum.
π Macro ETF Performance
SPY: π¦ Weak (<0.5x ATR) (-0.77%)
IWM: π Normal (ATR) (-2.41%)
ARKK: π¦ Weak (<0.5x ATR) (-3.06%)
DIA: π Normal (ATR) (-1.55%)
π Sector ETF Performance
XLV: π Normal (ATR) (-3.55%)
XLF: π Normal (ATR) (-1.46%)
XLE: π¦ Weak (<0.5x ATR) (1.69%)
XLY: π Normal (ATR) (-1.70%)
XLI: π Normal (ATR) (-1.65%)
XLC: π¦ Weak (<0.5x ATR) (0.51%)
XLRE: π Normal (ATR) (-1.16%)
XLU: π¦ Weak (<0.5x ATR) (-1.60%)
XBI: π Normal (ATR) (-4.65%)
SMH: π¦ Weak (<0.5x ATR) (0.27%)
GPT Summary on Macro + Sector ETFs
SPY: β Accurate β GPT expected **neutral**, actual move was **-0.77%**
IWM: β Accurate β GPT expected **bearish**, actual move was **-2.41%**
ARKK: β Accurate β GPT expected **bearish**, actual move was **-3.06%**
DIA: β Accurate β GPT expected **bearish**, actual move was **-1.55%**
XLK: β Accurate β GPT expected **neutral**, actual move was **0.21%**
XLV: β Accurate β GPT expected **bearish**, actual move was **-3.55%**
XLF: β Accurate β GPT expected **neutral**, actual move was **-1.46%**
XLE: β Accurate β GPT expected **bullish**, actual move was **1.69%**
XLY: β Accurate β GPT expected **bearish**, actual move was **-1.70%**
XLI: β Accurate β GPT expected **bearish**, actual move was **-1.65%**
XLC: β Accurate β GPT expected **neutral**, actual move was **0.51%**
XLRE: β Accurate β GPT expected **neutral**, actual move was **-1.16%**
XLU: β Accurate β GPT expected **bearish**, actual move was **-1.60%**
XBI: β Accurate β GPT expected **bearish**, actual move was **-4.65%**
SMH: β Accurate β GPT expected **neutral**, actual move was **0.27%**
GPT performed exceptionally well in forecasting macro ETF and sector trends for the week, accurately predicting the direction for all listed ETFs. This includes major indices like the QQQ, SPY, and DIA, as well as specific sectors such as technology (XLK), financials (XLF), and healthcare (XLV).
Key standouts include:
– **XLE (Energy Sector):** GPT accurately predicted a bullish trend, with the actual move being a significant 1.69% increase, highlighting its ability to forecast upward trends in volatile sectors.
– **XBI (Biotech):** It forecasted a bearish trend, which was confirmed by a notable decline of 4.65%, showcasing GPT’s effectiveness in anticipating sector-specific downturns.
Surprises or themes:
– The overall bearish outlook across multiple sectors such as ARKK, XLV, and XBI aligns with broad market sentiment, indicating GPT’s strong grasp of macroeconomic conditions.
– Neutral positions in sectors like XLK (Technology) and SMH (Semiconductors) accurately captured the slight positive movements, underscoring GPTβs nuanced understanding of market stability amid broader volatility.
Overall, GPT’s performance was marked by a high degree of accuracy, effectively capturing both the general market trends and specific sector movements.
