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Range Low Price High Price Comment
30 days $10.00 $12.58 Tuesday, 14th May 2024 XIACY stock ended at $12.51. This is 0.160% less than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 0.88% from a day low at $12.47 to a day high of $12.58.
90 days $7.90 $12.58
52 weeks $6.25 $12.58

Historical Xiaomi Corporation prices

Date Open High Low Close Volume
May 14, 2024 $12.50 $12.58 $12.47 $12.51 205 955
May 13, 2024 $12.45 $12.57 $12.43 $12.53 208 638
May 10, 2024 $12.51 $12.55 $12.32 $12.37 165 863
May 09, 2024 $12.41 $12.45 $12.27 $12.39 146 112
May 08, 2024 $12.07 $12.25 $12.05 $12.20 226 586
May 07, 2024 $11.48 $11.49 $11.40 $11.45 112 255
May 06, 2024 $11.63 $11.66 $11.50 $11.54 80 581
May 03, 2024 $11.70 $11.75 $11.61 $11.75 125 182
May 02, 2024 $11.35 $11.60 $11.20 $11.56 169 917
May 01, 2024 $10.85 $11.08 $10.85 $10.89 45 508
Apr 30, 2024 $11.06 $11.10 $10.88 $10.90 136 015
Apr 29, 2024 $11.23 $11.25 $11.10 $11.22 300 475
Apr 26, 2024 $10.99 $11.10 $10.93 $11.09 173 672
Apr 25, 2024 $10.61 $10.61 $10.45 $10.61 89 436
Apr 24, 2024 $10.51 $10.60 $10.50 $10.60 77 037
Apr 23, 2024 $10.40 $10.40 $10.30 $10.39 72 324
Apr 22, 2024 $10.10 $10.17 $10.00 $10.12 93 695
Apr 19, 2024 $10.20 $10.30 $10.05 $10.13 79 872
Apr 18, 2024 $10.40 $10.49 $10.33 $10.46 147 773
Apr 17, 2024 $10.38 $10.38 $10.21 $10.28 126 888
Apr 16, 2024 $10.20 $10.20 $10.04 $10.10 104 754
Apr 15, 2024 $10.52 $10.55 $10.34 $10.38 131 172
Apr 12, 2024 $10.50 $10.50 $10.20 $10.24 136 216
Apr 11, 2024 $10.25 $10.28 $10.10 $10.23 682 349
Apr 10, 2024 $10.10 $10.12 $9.95 $9.99 110 334

FAQ

What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.

Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.

How can I use XIACY stock historical prices to predict future price movements?
Trend Analysis: Examine the XIACY stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.

What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.

This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.

A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.

Why do the XIACY stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.

How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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About Xiaomi Corporation

Xiaomi Xiaomi Corporation, an investment holding company, provides hardware, software, and internet services in Mainland China, India, Europe, and internationally. It operates through Smartphones, IoT and Lifestyle Products, Internet Services, and Others segments. The Smartphones segment sells smartphones. The IoT and Lifestyle Products segment offers smart TVs, laptops, AI speakers, and smart routers; various IoT and other smart hardware products; and ... XIACY Profile

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