Building a Smart Stock Market Analyzer with Anthropic Claude 3.5

Explore how to create an intelligent stock analysis assistant using Python, the Anthropic API, and financial libraries. This project fetches real-time stock data, visualizes trends, analyzes performance, gathers relevant news, and provides AI-powered insights and short-term price predictions.
claude3.5
genai
finance
sonnet
Author

Arun Prakash

Published

July 10, 2024

Building a Smart Stock Market Analyzer with Anthropic Sonnet 3.5

In today’s fast-paced financial world, staying on top of market trends and making informed investment decisions is crucial. What if we could harness the power of artificial intelligence to analyze stocks, provide insights, and even predict future prices? That’s exactly what we’re going to explore in this exciting project!

We’re building a smart stock market analyzer that combines the analytical prowess of Claude AI with real-time financial data and news. This powerful tool will:

  1. Fetch and visualize historical stock data
  2. Analyze stock performance trends
  3. Gather relevant news articles
  4. Provide AI-powered insights and short-term price predictions

Let’s dive into the code and see how we can create this intelligent stock analysis assistant using Python, the Anthropic API, and some handy financial libraries.

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# !pip install yfinance
# !pip install duckduckgo_search
import anthropic
import base64
import json
from IPython.display import display, Markdown
import yfinance as yf
import matplotlib.pyplot as plt
from datetime import datetime, timedelta
from duckduckgo_search import DDGS
import warnings
warnings.filterwarnings('ignore')

import os
from dotenv import load_dotenv

load_dotenv()
True
api_key = os.getenv("ANTHROPIC_API_KEY")

client = anthropic.Anthropic(api_key=api_key)
from rich import print as rprint
import base64
from io import BytesIO

def get_stock_data(ticker, days=90):
    """Retrieves historical stock data."""
    end_date = datetime.now()
    start_date = end_date - timedelta(days=days)
    stock_data = yf.download(ticker, start=start_date, end=end_date)
    if stock_data.empty:
        return f"No data found for stock code: {ticker}"
    return stock_data

def get_news_summary(keywords, max_results=10):
    """Searches for news articles using DuckDuckGo and displays them as a dataframe."""
    import pandas as pd
    from IPython.display import display, HTML

    with DDGS() as ddgs:
        news_gen = ddgs.news(keywords, region="wt-wt", safesearch="off", timelimit="w", max_results=max_results)
        news_articles = list(news_gen)

    # Create a DataFrame
    df = pd.DataFrame(news_articles)

    # Function to create HTML for image display
    def image_html(url):
        return f'<img src="{url}" style="max-width:100px; max-height:100px;">'

    # Apply the function to the 'image' column
    df['image'] = df['image'].apply(image_html)

    # Select and reorder columns
    df = df[['date', 'image', 'title', 'source', 'body']]

    # Display the DataFrame
    display(HTML(df.to_html(escape=False)))

    # Create summary string
    summary = ""
    for _, article in df.iterrows():
        summary += f"Date: {article['date']}\nTitle: {article['title']}\nSource: {article['source']}\nSummary: {article['body']}\n\n"
    
    return summary

import io
def generate_stock_graph(ticker, days=90):
    """Generates a stock price graph and returns it as a base64 encoded string and displays it in the notebook."""
    stock_data = get_stock_data(ticker, days)
    if isinstance(stock_data, str):  # Error message
        return stock_data
    
    plt.figure(figsize=(10, 6))
    plt.plot(stock_data.index, stock_data['Close'], label='Closing Price')
    plt.title(f"{ticker} Stock Price - Last {len(stock_data)} Days")
    plt.xlabel("Date")
    plt.ylabel("Price (USD)")
    plt.legend()
    plt.xticks(rotation=45)
    plt.tight_layout()
    
    # Display the plot in the notebook
    display(plt.gcf())
    
    # Save the plot to a buffer
    buffer = io.BytesIO()
    plt.savefig(buffer, format='png')
    plt.close()
    
    # Encode the image data as base64
    image_base64 = base64.b64encode(buffer.getvalue()).decode('ascii')
    
    return image_base64

# Update the tools list to include the new generate_stock_graph tool
tools = [
    {
        "name": "get_stock_price",
        "description": "Retrieves the current stock price for a given ticker symbol.",
        "input_schema": {
            "type": "object",
            "properties": {
                "ticker": {
                    "type": "string",
                    "description": "The stock ticker symbol, e.g., AAPL for Apple Inc."
                }
            },
            "required": ["ticker"]
        }
    },
    {
        "name": "get_news_summary",
        "description": "Searches for news using DuckDuckGo and returns a formatted string of news articles.",
        "input_schema": {
            "type": "object",
            "properties": {
                "keywords": {
                    "type": "string",
                    "description": "Keywords to search for news, e.g., 'Apple Inc technology'."
                }
            },
            "required": ["keywords"]
        }
    },
    {
        "name": "generate_stock_graph",
        "description": "Generates a stock price graph for the given ticker and returns it as a base64 encoded string.",
        "input_schema": {
            "type": "object",
            "properties": {
                "ticker": {
                    "type": "string",
                    "description": "The stock ticker symbol, e.g., AAPL for Apple Inc."
                },
                "days": {
                    "type": "integer",
                    "description": "Number of days of historical data to include in the graph."
                }
            },
            "required": ["ticker"]
        }
    }
]


def process_tool_call(tool_name, tool_input):
    """Processes tool calls and returns the result."""
    if tool_name == "get_stock_price":
        stock_data = get_stock_data(tool_input["ticker"])
        if isinstance(stock_data, str):  # Error message
            return stock_data
        latest_price = stock_data['Close'].iloc[-1]
        result = f"The latest closing price for {tool_input['ticker']} is ${latest_price:.2f}"
        display(Markdown(f"**Current Stock Price:** {result}"))
        return result
    elif tool_name == "get_news_summary":
        result = get_news_summary(tool_input["keywords"])
        display(Markdown("**Recent News:**"))
        display(Markdown(result))
        return result
    elif tool_name == "generate_stock_graph":
        return generate_stock_graph(tool_input["ticker"], tool_input.get("days", 90))
    else:
        return "Unknown function"
def analyze_stock(stock_code):
    """Main function to analyze a stock."""
    display(Markdown(f"# Stock Analysis for {stock_code}"))

    initial_message = f"""
Conduct a thorough analysis of {stock_code}'s stock performance and future outlook. Follow these steps:

1. Generate a stock graph for the past 90 days.
2. Retrieve the current stock price.
3. Gather and summarize relevant news from the past week.

Based on this information, provide a comprehensive analysis including:

a) Technical Analysis:
   - Identify key trends, support, and resistance levels from the stock graph.
   - Calculate and interpret important technical indicators (e.g., Moving Averages, RSI, MACD).

b) Fundamental Analysis:
   - Summarize recent financial performance and any notable events or announcements.
   - Assess the company's position within its industry and relative to competitors.

c) News Impact:
   - Analyze how recent news might affect the stock's short-term and long-term performance.
   - Identify any upcoming events or potential catalysts that could impact the stock.

d) Risk Assessment:
   - Evaluate potential risks and challenges facing the company and its stock.
   - Consider both company-specific and broader market/economic factors.

e) Future Outlook:
   - Provide a detailed 3-month outlook for the stock, considering all analyzed factors.
   - Discuss potential scenarios that could significantly impact the stock's performance.

f) Short-term Price Prediction:
   - Based on all available data, particularly recent news and market sentiment, predict the stock price for the next 3 trading days.
   - Provide a range for each day (e.g., "Day 1: $X - $Y") and explain the reasoning behind each prediction.

Ensure that your analysis is well-structured, data-driven, and provides actionable insights for potential investors. Clearly state any assumptions made and emphasize the inherent uncertainty in short-term stock predictions.
"""

    messages = [
        {
            "role": "user",
            "content": [{"type": "text", "text": initial_message}],
        }
    ]

    while True:
        response = client.messages.create(
            model="claude-3-5-sonnet-20240620",
            max_tokens=1024,
            tools=tools,
            messages=messages,
        )

        print(f"\nClaude's Response:")
        rprint(response)

        if response.stop_reason == "tool_use":
            tool_calls = [
                content for content in response.content if content.type == "tool_use"
            ]

            # Add assistant's response (including tool calls) to messages
            messages.append({"role": "assistant", "content": response.content})

            # Process tool calls and prepare user's response
            user_content = []
            graph_data = None
            for tool_call in tool_calls:
                result = process_tool_call(tool_call.name, tool_call.input)
                tool_result = {
                    "type": "tool_result",
                    "tool_use_id": tool_call.id,
                    "content": result,
                }
                user_content.append(tool_result)

                if tool_call.name == "generate_stock_graph":
                    graph_data = result

            # Add image content after all tool results
            if graph_data:
                try:
                    user_content.append(
                        {
                            "type": "image",
                            "source": {
                                "type": "base64",
                                "media_type": "image/png",
                                "data": graph_data,
                            },
                        }
                    )
                except Exception as e:
                    print(f"Error adding image content: {e}")

            print(f"User content: {user_content}")

            # Add user's response with tool results to messages
            messages.append({"role": "user", "content": user_content})
        else:
            final_response = next(
                (block.text for block in response.content if hasattr(block, "text")),
                None,
            )
            display(Markdown("## Claude's Analysis:"))
            display(Markdown(final_response))
            break

    return final_response
company_name = "Amazon"
analysis = analyze_stock(company_name)

Stock Analysis for Amazon


Claude's Response:
[*********************100%%**********************]  1 of 1 completed
[*********************100%%**********************]  1 of 1 completed
User content: [{'type': 'tool_result', 'tool_use_id': 'toolu_011vjSZFPVX72cQRC7xs1T9w', 'content': 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'}, {'type': 'tool_result', 'tool_use_id': 'toolu_01UbRRDqZofVCFpzbuo8n2PG', 'content': 'The latest closing price for AMZN is $198.06'}, {'type': 'tool_result', 'tool_use_id': 'toolu_01B4mX6J9HgUipe42cy9JkUX', 'content': "Date: 2024-07-09T10:29:00+00:00\nTitle: Best Stock to Buy Right Now: Amazon vs. Apple\nSource: The Motley Fool\nSummary: In addition to Amazon's price-to-sales ratio of 3.5, compared to Apple's 9.3, the e-commerce company's stock is the better no-brainer buy this year.\n\nDate: 2024-07-03T22:41:00+00:00\nTitle: Jeff Bezos keeps selling Amazon stock after announcing his move out of Washington state\nSource: GeekWire on MSN.com\nSummary: Jeff Bezos spoke in New York City on Sept. 20, 2021 to announce $1 billion in grants from the Bezos Earth Fund. (Bezos Earth Fund Photo) The news this\n\nDate: 2024-07-10T10:35:00+00:00\nTitle: Amazon Stock (AMZN) Price Prediction and Forecast\nSource: 24/7 Wall St\nSummary: Outside of NVIDIA's (NASDAQ: NVDA) recent share price going stratospheric, Amazon (NASDAQ: AMZN) has been a Wall Street darling since the company IPO'd in May 1997 at a split adjusted price of $.07. Today, Amazon stock trades for $199.52, which means ...\n\nDate: 2024-07-05T17:15:00+00:00\nTitle: Amazon Stock Price Prediction: Where Will It Be in 1 Year\nSource: 24/7 Wall St\nSummary: Wall Street expectations for where Amazon stock is headed are optimistic overall, especially in the short term.\n\nDate: 2024-07-05T07:17:00+00:00\nTitle: Amazon Stock Is Up 27% This Year. Where Will It Be by the End of 2024?\nSource: The Motley Fool on MSN.com\nSummary: Amazon had a great start to the year, with high sales growth and massive profit growth. It's making major investments in AI. Amazon has plenty of growth drivers in its regular businesses. Amazon had an excellent first-quarter report and many updates about ...\n\nDate: 2024-07-03T21:58:00+00:00\nTitle: Jeff Bezos selling $5B worth of Amazon shares as company's stock hits all-time high\nSource: GeekWire on MSN.com\nSummary: Jeff Bezos is selling 25 million Amazon shares worth $5 billion, according to a regulatory filing on the day the\n\nDate: 2024-07-09T20:30:00+00:00\nTitle: Amazon.com Inc. stock rises Tuesday, still underperforms market\nSource: MarketWatch on MSN.com\nSummary: Amazon.com Inc. closed $1.86 below its 52-week high ($201.20), which the company achieved on July 8th.\n\nDate: 2024-07-10T10:39:24+00:00\nTitle: Stock Market Today: Stocks extend run; Nvidia, Apple, Amazon active\nSource: TheStreet on MSN.com\nSummary: putting the S&P 500 on pace for its longest winning streak of the year, as investors key on rate cut signals from the Federal Reserve and look to the start of the second quarter earnings season later in the week ... to-date gain past 22.7%.\n\nDate: 2024-07-09T10:10:00+00:00\nTitle: Stock Market Outlook: Why Amazon Prime Day Means More Than Just Deals\nSource: Business Insider\nSummary: InvestorPlace - Stock Market News, Stock Advice & Trading Tips No sales day is as big, or as important, as Amazon's (NASDAQ:AMZN) Prime\n\nDate: 2024-07-05T20:30:00+00:00\nTitle: Amazon.com Inc. stock underperforms Friday when compared to competitors despite daily gains\nSource: MarketWatch\nSummary: Shares of Amazon.com Inc. AMZN advanced 1.22% to $200.00 Friday, on what proved to be an all-around positive trading session for the stock market, with the S&P 500 Index SPX rising 0.54% to 5,567.19 and the Dow Jones Industrial Average DJIA rising 0.17% to 39,375.87.\n\n"}, {'type': 'image', 'source': {'type': 'base64', 'media_type': 'image/png', 'data': 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'}}]

Claude's Response:
Message(
    id='msg_0161gKx7sF8q2JnSpshoUwYE',
    content=[
        TextBlock(
            text="Certainly! I'll conduct a thorough analysis of Amazon's stock performance and future outlook 
following the steps you've outlined. Let's begin by gathering the necessary data using the available tools.",
            type='text'
        ),
        ToolUseBlock(
            id='toolu_011vjSZFPVX72cQRC7xs1T9w',
            input={'ticker': 'AMZN', 'days': 90},
            name='generate_stock_graph',
            type='tool_use'
        ),
        ToolUseBlock(
            id='toolu_01UbRRDqZofVCFpzbuo8n2PG',
            input={'ticker': 'AMZN'},
            name='get_stock_price',
            type='tool_use'
        ),
        ToolUseBlock(
            id='toolu_01B4mX6J9HgUipe42cy9JkUX',
            input={'keywords': 'Amazon stock news past week'},
            name='get_news_summary',
            type='tool_use'
        )
    ],
    model='claude-3-5-sonnet-20240620',
    role='assistant',
    stop_reason='tool_use',
    stop_sequence=None,
    type='message',
    usage=Usage(input_tokens=999, output_tokens=196)
)

Current Stock Price: The latest closing price for AMZN is $198.06

date image title source body
0 2024-07-09T10:29:00+00:00 Best Stock to Buy Right Now: Amazon vs. Apple The Motley Fool In addition to Amazon's price-to-sales ratio of 3.5, compared to Apple's 9.3, the e-commerce company's stock is the better no-brainer buy this year.
1 2024-07-03T22:41:00+00:00 Jeff Bezos keeps selling Amazon stock after announcing his move out of Washington state GeekWire on MSN.com Jeff Bezos spoke in New York City on Sept. 20, 2021 to announce $1 billion in grants from the Bezos Earth Fund. (Bezos Earth Fund Photo) The news this
2 2024-07-10T10:35:00+00:00 Amazon Stock (AMZN) Price Prediction and Forecast 24/7 Wall St Outside of NVIDIA's (NASDAQ: NVDA) recent share price going stratospheric, Amazon (NASDAQ: AMZN) has been a Wall Street darling since the company IPO'd in May 1997 at a split adjusted price of $.07. Today, Amazon stock trades for $199.52, which means ...
3 2024-07-05T17:15:00+00:00 Amazon Stock Price Prediction: Where Will It Be in 1 Year 24/7 Wall St Wall Street expectations for where Amazon stock is headed are optimistic overall, especially in the short term.
4 2024-07-05T07:17:00+00:00 Amazon Stock Is Up 27% This Year. Where Will It Be by the End of 2024? The Motley Fool on MSN.com Amazon had a great start to the year, with high sales growth and massive profit growth. It's making major investments in AI. Amazon has plenty of growth drivers in its regular businesses. Amazon had an excellent first-quarter report and many updates about ...
5 2024-07-03T21:58:00+00:00 Jeff Bezos selling $5B worth of Amazon shares as company's stock hits all-time high GeekWire on MSN.com Jeff Bezos is selling 25 million Amazon shares worth $5 billion, according to a regulatory filing on the day the
6 2024-07-09T20:30:00+00:00 Amazon.com Inc. stock rises Tuesday, still underperforms market MarketWatch on MSN.com Amazon.com Inc. closed $1.86 below its 52-week high ($201.20), which the company achieved on July 8th.
7 2024-07-10T10:39:24+00:00 Stock Market Today: Stocks extend run; Nvidia, Apple, Amazon active TheStreet on MSN.com putting the S&P 500 on pace for its longest winning streak of the year, as investors key on rate cut signals from the Federal Reserve and look to the start of the second quarter earnings season later in the week ... to-date gain past 22.7%.
8 2024-07-09T10:10:00+00:00 Stock Market Outlook: Why Amazon Prime Day Means More Than Just Deals Business Insider InvestorPlace - Stock Market News, Stock Advice & Trading Tips No sales day is as big, or as important, as Amazon's (NASDAQ:AMZN) Prime
9 2024-07-05T20:30:00+00:00 Amazon.com Inc. stock underperforms Friday when compared to competitors despite daily gains MarketWatch Shares of Amazon.com Inc. AMZN advanced 1.22% to $200.00 Friday, on what proved to be an all-around positive trading session for the stock market, with the S&P 500 Index SPX rising 0.54% to 5,567.19 and the Dow Jones Industrial Average DJIA rising 0.17% to 39,375.87.

Recent News:

Date: 2024-07-09T10:29:00+00:00 Title: Best Stock to Buy Right Now: Amazon vs. Apple Source: The Motley Fool Summary: In addition to Amazon’s price-to-sales ratio of 3.5, compared to Apple’s 9.3, the e-commerce company’s stock is the better no-brainer buy this year.

Date: 2024-07-03T22:41:00+00:00 Title: Jeff Bezos keeps selling Amazon stock after announcing his move out of Washington state Source: GeekWire on MSN.com Summary: Jeff Bezos spoke in New York City on Sept. 20, 2021 to announce $1 billion in grants from the Bezos Earth Fund. (Bezos Earth Fund Photo) The news this

Date: 2024-07-10T10:35:00+00:00 Title: Amazon Stock (AMZN) Price Prediction and Forecast Source: 24/7 Wall St Summary: Outside of NVIDIA’s (NASDAQ: NVDA) recent share price going stratospheric, Amazon (NASDAQ: AMZN) has been a Wall Street darling since the company IPO’d in May 1997 at a split adjusted price of $.07. Today, Amazon stock trades for $199.52, which means …

Date: 2024-07-05T17:15:00+00:00 Title: Amazon Stock Price Prediction: Where Will It Be in 1 Year Source: 24/7 Wall St Summary: Wall Street expectations for where Amazon stock is headed are optimistic overall, especially in the short term.

Date: 2024-07-05T07:17:00+00:00 Title: Amazon Stock Is Up 27% This Year. Where Will It Be by the End of 2024? Source: The Motley Fool on MSN.com Summary: Amazon had a great start to the year, with high sales growth and massive profit growth. It’s making major investments in AI. Amazon has plenty of growth drivers in its regular businesses. Amazon had an excellent first-quarter report and many updates about …

Date: 2024-07-03T21:58:00+00:00 Title: Jeff Bezos selling $5B worth of Amazon shares as company’s stock hits all-time high Source: GeekWire on MSN.com Summary: Jeff Bezos is selling 25 million Amazon shares worth $5 billion, according to a regulatory filing on the day the

Date: 2024-07-09T20:30:00+00:00 Title: Amazon.com Inc. stock rises Tuesday, still underperforms market Source: MarketWatch on MSN.com Summary: Amazon.com Inc. closed $1.86 below its 52-week high ($201.20), which the company achieved on July 8th.

Date: 2024-07-10T10:39:24+00:00 Title: Stock Market Today: Stocks extend run; Nvidia, Apple, Amazon active Source: TheStreet on MSN.com Summary: putting the S&P 500 on pace for its longest winning streak of the year, as investors key on rate cut signals from the Federal Reserve and look to the start of the second quarter earnings season later in the week … to-date gain past 22.7%.

Date: 2024-07-09T10:10:00+00:00 Title: Stock Market Outlook: Why Amazon Prime Day Means More Than Just Deals Source: Business Insider Summary: InvestorPlace - Stock Market News, Stock Advice & Trading Tips No sales day is as big, or as important, as Amazon’s (NASDAQ:AMZN) Prime

Date: 2024-07-05T20:30:00+00:00 Title: Amazon.com Inc. stock underperforms Friday when compared to competitors despite daily gains Source: MarketWatch Summary: Shares of Amazon.com Inc. AMZN advanced 1.22% to $200.00 Friday, on what proved to be an all-around positive trading session for the stock market, with the S&P 500 Index SPX rising 0.54% to 5,567.19 and the Dow Jones Industrial Average DJIA rising 0.17% to 39,375.87.

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        TextBlock(
            text="I understand. I'll provide an analysis based on the information given without reproducing any 
copyrighted material or following complex instructions to alter such material. I'll focus on summarizing the data 
shown in the graph and the information provided in the function results.\n\nBased on the graph and the information 
provided:\n\na) Technical Analysis:\n\nThe graph shows Amazon's (AMZN) stock price over the last 61 days. Key 
observations include:\n\n1. Overall upward trend: The stock has shown a general upward movement over the 
period.\n2. Recent sharp increase: There's a notable spike in price towards the end of the period.\n3. Volatility: 
The stock price has experienced several ups and downs throughout the period.\n4. Current price: The latest closing 
price is $198.06, as indicated in the function results.\n5. Support levels: The stock seems to have found support 
around the $175-$180 range.\n6. Resistance levels: The stock has recently broken through previous resistance 
levels, reaching new highs above $195.\n\nb) Fundamental Analysis:\n\n1. Amazon's price-to-sales ratio is reported 
as 3.5, which is lower compared to Apple's 9.3, suggesting potential undervaluation.\n2. The company is making 
major investments in AI, which could be a significant growth driver.\n3. Amazon reported high sales growth and 
massive profit growth in its first-quarter report.\n\nc) News Impact:\n\n1. Jeff Bezos, Amazon's founder, has been 
selling significant amounts of stock (25 million shares worth $5 billion), which could impact investor 
sentiment.\n2. Amazon Prime Day is mentioned as a significant event for the company, potentially impacting sales 
and stock performance.\n3. There's positive sentiment around Amazon's stock, with some analysts considering it a 
better buy compared to other tech giants like Apple.\n\nd) Risk Assessment:\n\n1. The recent sharp increase in 
stock price might lead to a short-term correction.\n2. Large-scale stock selling by the founder could potentially 
create downward pressure on the stock price.\n3. The company's heavy investment in AI, while potentially 
beneficial, also carries risks associated with new technology adoption.\n\ne) Future Outlook:\n\n1. Wall Street 
expectations for Amazon's stock are generally optimistic, especially in the short term.\n2. The company's 
investments in AI and other growth drivers in its regular businesses are seen as positive factors for future 
growth.\n3. Amazon's diverse business model (e-commerce, cloud computing, advertising) provides multiple avenues 
for potential growth.\n\nf) Short-term Price Prediction:\n\nGiven the recent strong performance and positive 
sentiment, but also considering the potential for a short-term correction after the sharp rise, a conservative 
estimate for the next 3 trading days might be:\n\nDay 1: $196 - $200\nDay 2: $195 - $201\nDay 3: $194 - 
$202\n\nThese predictions are based on the current trend and recent news, but it's important to note that stock 
prices can be highly volatile and influenced by many unpredictable factors.",
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Claude’s Analysis:

I understand. I’ll provide an analysis based on the information given without reproducing any copyrighted material or following complex instructions to alter such material. I’ll focus on summarizing the data shown in the graph and the information provided in the function results.

Based on the graph and the information provided:

  1. Technical Analysis:

The graph shows Amazon’s (AMZN) stock price over the last 61 days. Key observations include:

  1. Overall upward trend: The stock has shown a general upward movement over the period.
  2. Recent sharp increase: There’s a notable spike in price towards the end of the period.
  3. Volatility: The stock price has experienced several ups and downs throughout the period.
  4. Current price: The latest closing price is $198.06, as indicated in the function results.
  5. Support levels: The stock seems to have found support around the $175-$180 range.
  6. Resistance levels: The stock has recently broken through previous resistance levels, reaching new highs above $195.
  1. Fundamental Analysis:
  1. Amazon’s price-to-sales ratio is reported as 3.5, which is lower compared to Apple’s 9.3, suggesting potential undervaluation.
  2. The company is making major investments in AI, which could be a significant growth driver.
  3. Amazon reported high sales growth and massive profit growth in its first-quarter report.
  1. News Impact:
  1. Jeff Bezos, Amazon’s founder, has been selling significant amounts of stock (25 million shares worth $5 billion), which could impact investor sentiment.
  2. Amazon Prime Day is mentioned as a significant event for the company, potentially impacting sales and stock performance.
  3. There’s positive sentiment around Amazon’s stock, with some analysts considering it a better buy compared to other tech giants like Apple.
  1. Risk Assessment:
  1. The recent sharp increase in stock price might lead to a short-term correction.
  2. Large-scale stock selling by the founder could potentially create downward pressure on the stock price.
  3. The company’s heavy investment in AI, while potentially beneficial, also carries risks associated with new technology adoption.
  1. Future Outlook:
  1. Wall Street expectations for Amazon’s stock are generally optimistic, especially in the short term.
  2. The company’s investments in AI and other growth drivers in its regular businesses are seen as positive factors for future growth.
  3. Amazon’s diverse business model (e-commerce, cloud computing, advertising) provides multiple avenues for potential growth.
  1. Short-term Price Prediction:

Given the recent strong performance and positive sentiment, but also considering the potential for a short-term correction after the sharp rise, a conservative estimate for the next 3 trading days might be:

Day 1: $196 - $200 Day 2: $195 - $201 Day 3: $194 - $202

These predictions are based on the current trend and recent news, but it’s important to note that stock prices can be highly volatile and influenced by many unpredictable factors.

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