TYO:6573
Agile Media Network Inc. Stock Price (Quote)
JP¥113.00
+7.00 (+6.60%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | JP¥101.00 | JP¥135.00 | Friday, 14th Jun 2024 6573.T stock ended at JP¥113.00. This is 6.60% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 23.36% from a day low at JP¥107.00 to a day high of JP¥132.00. |
90 days | JP¥84.00 | JP¥206.00 | |
52 weeks | JP¥84.00 | JP¥2,798.00 |
Historical Agile Media Network Inc. prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | JP¥107.00 | JP¥132.00 | JP¥107.00 | JP¥113.00 | 5 723 300 |
Jun 13, 2024 | JP¥106.00 | JP¥108.00 | JP¥106.00 | JP¥106.00 | 382 300 |
Jun 12, 2024 | JP¥106.00 | JP¥108.00 | JP¥105.00 | JP¥106.00 | 295 500 |
Jun 11, 2024 | JP¥106.00 | JP¥109.00 | JP¥106.00 | JP¥107.00 | 266 000 |
Jun 10, 2024 | JP¥106.00 | JP¥109.00 | JP¥105.00 | JP¥106.00 | 295 400 |
Jun 07, 2024 | JP¥106.00 | JP¥109.00 | JP¥105.00 | JP¥106.00 | 329 000 |
Jun 06, 2024 | JP¥112.00 | JP¥112.00 | JP¥106.00 | JP¥106.00 | 708 800 |
Jun 05, 2024 | JP¥106.00 | JP¥124.00 | JP¥106.00 | JP¥111.00 | 3 529 100 |
Jun 04, 2024 | JP¥116.00 | JP¥117.00 | JP¥106.00 | JP¥106.00 | 2 032 900 |
Jun 03, 2024 | JP¥107.00 | JP¥111.00 | JP¥104.00 | JP¥106.00 | 336 800 |
May 31, 2024 | JP¥102.00 | JP¥108.00 | JP¥102.00 | JP¥107.00 | 429 300 |
May 30, 2024 | JP¥102.00 | JP¥107.00 | JP¥101.00 | JP¥104.00 | 413 800 |
May 29, 2024 | JP¥109.00 | JP¥111.00 | JP¥104.00 | JP¥106.00 | 544 300 |
May 28, 2024 | JP¥110.00 | JP¥113.00 | JP¥108.00 | JP¥112.00 | 698 400 |
May 27, 2024 | JP¥111.00 | JP¥115.00 | JP¥109.00 | JP¥110.00 | 551 300 |
May 24, 2024 | JP¥110.00 | JP¥114.00 | JP¥109.00 | JP¥111.00 | 437 400 |
May 23, 2024 | JP¥116.00 | JP¥116.00 | JP¥111.00 | JP¥111.00 | 629 800 |
May 22, 2024 | JP¥123.00 | JP¥125.00 | JP¥114.00 | JP¥115.00 | 862 700 |
May 21, 2024 | JP¥123.00 | JP¥125.00 | JP¥115.00 | JP¥115.00 | 1 031 300 |
May 20, 2024 | JP¥114.00 | JP¥135.00 | JP¥113.00 | JP¥122.00 | 4 296 900 |
May 17, 2024 | JP¥115.00 | JP¥116.00 | JP¥110.00 | JP¥110.00 | 739 800 |
May 16, 2024 | JP¥119.00 | JP¥124.00 | JP¥116.00 | JP¥117.00 | 572 500 |
May 15, 2024 | JP¥119.00 | JP¥129.00 | JP¥119.00 | JP¥119.00 | 885 800 |
May 14, 2024 | JP¥123.00 | JP¥123.00 | JP¥117.00 | JP¥119.00 | 686 600 |
May 13, 2024 | JP¥125.00 | JP¥127.00 | JP¥116.00 | JP¥121.00 | 1 014 000 |
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.
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 6573.T stock historical prices to predict future price movements?
Trend Analysis: Examine the 6573.T 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.
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.
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 6573.T 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.