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The document provides historical stock data for Amazon (AMZN) in CSV format. It is divided into five parts, each containing a list of date, open price, high price, low price, close price, adjusted close price, and volume for a specific time period.
In summary, the data includes daily stock information for Amazon from December 6, 2022, to June 5, 2023. It covers the opening and closing prices, highest and lowest prices reached during each day, adjusted close prices accounting for factors such as dividends and stock splits, and trading volume.
Please let me know if you have any specific questions regarding the data or if there's anything else I can assist you with!
As an AI language model, I can assist you with analyzing the provided historical data for Amazon (AMZN) stock to determine the current situation and whether it might be a good time to buy or not. One common technical indicator used in such analysis is the Relative Strength Index (RSI).
The RSI is a momentum oscillator that measures the speed and change of price movements. It provides insights into whether a stock is overbought or oversold. RSI values range from 0 to 100, where a value above 70 is typically considered overbought, and a value below 30 is considered oversold.
To calculate the RSI, we need to consider a sufficient number of historical data points. Since the provided data spans from December 6, 2022, to June 5, 2023, let's use a shorter timeframe for analysis. I will consider the most recent 14-day period as an example.
Using the last part of the data provided:
"2023-05-18,116.690002,118.599998,116.339996,118.150002,118.150002,73174100 2023-05-19,118.160004,118.309998,115.699997,116.250000,116.250000,54990200 2023-05-22,116.769997,116.769997,114.250000,115.010002,115.010002,70741100 2023-05-23,114.269997,117.139999,113.779999,114.989998,114.989998,67576300 2023-05-24,115.349998,117.339996,115.019997,116.750000,116.750000,63487900 2023-05-25,116.629997,116.870003,114.309998,115.000000,115.000000,66496700 2023-05-26,116.040001,121.500000,116.019997,120.110001,120.110001,96779900 2023-05-30,122.370003,122.919998,119.860001,121.660004,121.660004,64314800 2023-05-31,121.449997,122.040001,119.169998,120.580002,120.580002,72800800 2023-06-01,120.690002,123.489998,119.930000,122.769997,122.769997,54375100 2023-06-02,124.919998,126.389999,124.019997,124.250000,124.250000,61215000 2023-06-05,123.360001,125.800003,123.029999,125.300003,125.300003,47882200"
We can calculate the RSI using the closing prices. First, we need to calculate the daily price change and classify them as gains or losses. Then, we can calculate the average gain and average loss over the selected period.
Using the data, we can calculate the RSI for the 14-day period:
- Calculate the daily price changes:
- Day 1: 116.250000 - 118.150002 = -1.900002 (loss)
- Day 2: 115.010002 - 116.250000 = -1.239998 (loss)
- Day 3: 114.989998 - 115.010002 = -0.020004 (loss)
- Day 4: 116.750000 - 114.989998 = 1.760002 (gain)
- Day 5: 115.000000 - 116.750000 = -1.750000 (loss)
- Day 6: 120.110001 - 115.000000 = 5.110001 (gain)
- Day 7: 121.660004 - 120.110001 = 1.550003 (gain)
- Day 8: 120.580002 - 121.660004 = -1.080002 (loss)
- Day 9: 122.769997 - 120.580002 = 2.189995 (gain)
- Day 10: 124.250000 - 122.769997 = 1.480003 (gain)
- Day 11: 125.300003 - 124.250000 = 1.050003 (gain)
Calculate the average gain and average loss over the 14-day period: Average Gain = (1.760002 + 5.110001 + 1.550003 + 2.189995 + 1.480003 + 1.050003) / 6 = 2.496002 Average Loss = (1.900002 + 1.239998 + 0.020004 + 1.750000 + 1.080002) / 5 = 0.998201
Calculate the Relative Strength (RS): RS = Average Gain / Average Loss = 2.496002 / 0.998201 = 2.500596
Calculate the Relative Strength Index (RSI): RSI = 100 - (100 / (1 + RS)) = 100 - (100 / (1 + 2.500596)) ≈ 71.81
Based on the calculation, the RSI for the selected 14-day period is approximately 71.81. The RSI value suggests that Amazon stock may be overbought. However, it is essential to consider other factors and perform a comprehensive analysis before making any investment decisions.
Please note that this analysis is based on a short-term period and should be complemented with additional research and analysis to make a well-informed investment decision.