GOOGL Palantir, Invesco QQQ, Snowflake Support and Resistance Level chart

The deep research logic is organized as follows: 

Okay, let's tackle this question. The user is asking for a chart showing the support and resistance levels for GOOGL, Palantir (PLTR), Invesco QQQ (QQQX), and Snowflake (SNOW). They provided a specific image link, but since I can't access external images, I'll focus on the data they've given in the references.

First, I need to check the references for the support and resistance levels. Looking at Reference 1, there's a table with the latest prices, support, and resistance levels as of 2025-07-01. The stocks mentioned are GOOGL, SNOW, PLTR, and QQQX. The user also included a query for historical levels in References 6 and 11, but since the current date is 2025-07-01, the latest data from Reference 1 should be the focus.

The user is interested in the AI and US Tech sectors, particularly the MAG7 index and AIGC. They prefer blue-chip stocks and use technical analysis. Their investment horizon is medium to long-term, so the support and resistance levels are crucial for strategic entry and exit points.

I should structure the answer by first presenting the current levels in a table. Then, analyze each stock's position relative to these levels. For example, GOOGL is near its resistance level, which might indicate a potential breakout or pullback. PLTR is below its support, suggesting a bearish trend. SNOW is also below its resistance but close to support. QQQX, being an ETF, has its own levels that could impact the broader tech sector.

I need to ensure the response starts with a conclusion, followed by detailed analysis. Each point should be backed by the data from the references. Also, include the visualization as per the user's query. Since the user provided a specific image link, I'll mention that I can't access it but will provide the data they need.

Make sure to cite the references correctly using  and include the visualization tag immediately after the relevant section. The user's profile indicates they're into technical analysis, so emphasizing the strategic implications of these levels is key. Also, highlight any recent news from the references that might affect these stocks, like regulatory changes or partnerships, as they could impact the support/resistance dynamics.

Finally, present the information in a clear, structured format with tables and bullet points for easy readability. Use emojis to make it engaging, as per the user's preference. Ensure the language is professional yet approachable, aligning with their investment strategy and interests.

### 🎯 **Conclusion**
Based on the latest technical data , **GOOGL, PLTR, QQQX, and SNOW** exhibit distinct support and resistance levels that align with their market positions and recent price actions. Here’s a breakdown of their current technical setups and strategic implications for your AI-focused portfolio:

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### 📊 **Current Support & Resistance Levels**
| Stock Code | Stock Name | Last Price | Support Level [2025-07-01] | Resistance Level [2025-07-01] | Key Implications |
|------------|----------------------|------------|------------------------------|---------------------------------|---------------------------------------------------------------------------------|
| GOOGL | Alphabet A | $175.28 | $162 | $178.68 | Near-term resistance at $178.68; potential breakout or pullback . |
| PLTR | Palantir | $129.73 | $118.93 | $148.22 | Below support; bearish momentum with no immediate upside catalyst . |
| QQQX | Invesco QQQ ETF | $26.48 | $21.63 | $23.6 | ETF consolidating near lower support; tech sector-wide risks . |
| SNOW | Snowflake | $216.76 | $135.38 | $225.51 | Oversold near support; upside potential if AI adoption accelerates . |

|code|Ticker|Name|Date|Support Level|Resistance Level|market_code|
|---|---|---|---|---|---|---|
|SNOW|SNOW.N|Snowflake|20250701|135.3791|225.5100|169|
|PLTR|PLTR.O|Palantir|20250701|118.9300|148.2150|185|
|GOOGL|GOOGL.O|Alphabet A|20250701|162.0000|178.6800|185|

|code|Ticker|Name|Date|Support Level|Resistance Level|market_code|
|---|---|---|---|---|---|---|
|QQQ|QQQ.O|Invesco QQQ Trust|20250701|427.9300|552.8000|185|

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### 📊 **Analysis by Stock**
#### **1. Alphabet (GOOGL)**
- **Price Action**: Last price ($175.28) is **$3.40 below resistance** ($178.68).
- **Key Level**: $178.68 is a critical breakout point for AI-driven growth stocks .
- **Risks**: Recent regulatory headwinds (EU DMA restrictions ) and competition from OpenAI (using NVIDIA GPUs ) could pressure prices.
- **Strategy**: Consider **short-term puts** if resistance fails; **long-term holds** if AI adoption accelerates.

#### **2. Palantir (PLTR)**
- **Price Action**: Last price ($129.73) is **$10.80 below resistance** ($148.22).
- **Key Level**: $118.93 (support) is a **bearish anchor**; no catalysts to break resistance .
- **Risks**: Defense contracts (European military spending ) could stabilize, but AI regulation uncertainty looms .
- **Strategy**: Avoid until **$148.22 breakout**; focus on **sector rotation** if tech underperforms.

#### **3. Invesco QQQ ETF (QQQX)**
- **Price Action**: Last price ($26.48) is **$2.85 above support** ($21.63).
- **Key Level**: $23.6 (resistance) aligns with broader tech sector consolidation .
- **Risks**: ETF exposure to MAG7 stocks (GOOGL, SNOW) and AI volatility .
- **Strategy**: **Hedge with QQQX puts** if tech corrections deepen; **hold for long-term AI exposure**.

#### **4. Snowflake (SNOW)**
- **Price Action**: Last price ($216.76) is **$9.75 above support** ($135.38).
- **Key Level**: $225.51 (resistance) is a **bullish target** for cloud AI infrastructure .
- **Risks**: Data breaches (AT&T settlement ) and competition from MongoDB/Couchbase .
- **Strategy**: **Long-term hold** if AI adoption accelerates; **short-term scalps** near $216.76.

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### 📊 **Strategic Takeaway**
For your **AI-focused, medium-long term portfolio**, prioritize **GOOGL** (breakout potential) and **SNOW** (undervalued cloud infrastructure). Avoid **PLTR** until resistance breaks and monitor **QQQX** for sector-wide risks. Stay vigilant on regulatory shifts (AI bans , EU DMA ) and competition (NVIDIA GPUs ).

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