CRYPTO:BTCUSD
Bitcoin Cryptocurrency Price (Quote)
$61,615.32
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $56,903.79 | $67,153.00 | Thursday, 16th May 2024 BTCUSD stock ended at $61,615.32. During the day the stock fluctuated 0% from a day low at $61,615.32 to a day high of $61,615.32. |
90 days | $50,130.00 | $73,709.99 | |
52 weeks | $24,713.00 | $73,709.99 |
Date | Open | High | Low | Close | Volume |
Nov 23, 2023 | $37,428.10 | $37,653.67 | $36,874.70 | $37,300.90 | 14 214 948 217 |
Nov 22, 2023 | $35,756.00 | $37,888.00 | $35,633.00 | $37,424.32 | 24 397 247 860 |
Nov 21, 2023 | $37,480.50 | $37,675.77 | $35,744.90 | $35,751.89 | 25 172 163 756 |
Nov 20, 2023 | $37,379.00 | $37,784.07 | $36,620.00 | $37,475.64 | 20 888 209 068 |
Nov 19, 2023 | $36,596.84 | $37,546.62 | $36,404.52 | $37,391.19 | 12 915 986 553 |
Nov 18, 2023 | $36,631.56 | $36,857.15 | $36,205.89 | $36,594.89 | 11 886 022 717 |
Nov 17, 2023 | $36,161.15 | $36,888.00 | $35,851.20 | $36,625.00 | 22 445 028 430 |
Nov 16, 2023 | $37,856.00 | $37,958.75 | $35,511.11 | $36,161.15 | 26 007 385 366 |
Nov 15, 2023 | $35,554.10 | $37,987.00 | $35,358.45 | $37,885.35 | 27 365 821 679 |
Nov 14, 2023 | $36,494.10 | $36,756.16 | $34,666.00 | $35,557.01 | 23 857 403 554 |
Nov 13, 2023 | $37,053.90 | $37,444.00 | $36,351.00 | $36,494.10 | 19 057 712 790 |
Nov 12, 2023 | $37,139.94 | $37,247.00 | $36,727.30 | $37,086.03 | 11 545 715 999 |
Nov 11, 2023 | $37,311.70 | $37,424.03 | $36,651.00 | $37,139.12 | 13 924 272 142 |
Nov 10, 2023 | $36,702.50 | $37,548.80 | $36,334.46 | $37,301.00 | 22 711 265 155 |
Nov 09, 2023 | $35,639.13 | $37,999.00 | $35,517.30 | $36,706.59 | 37 762 672 382 |
Nov 08, 2023 | $35,449.10 | $36,113.59 | $35,100.00 | $35,639.13 | 17 295 394 918 |
Nov 07, 2023 | $35,028.60 | $35,963.00 | $34,518.00 | $35,416.28 | 18 834 737 789 |
Nov 06, 2023 | $35,035.79 | $35,323.00 | $34,753.66 | $35,059.46 | 12 693 436 420 |
Nov 05, 2023 | $35,091.10 | $35,439.00 | $34,479.00 | $35,035.42 | 12 412 743 996 |
Nov 04, 2023 | $34,730.32 | $35,296.00 | $34,599.85 | $35,090.30 | 9 561 294 264 |
Nov 03, 2023 | $34,947.92 | $34,954.60 | $34,100.00 | $34,731.27 | 17 158 456 701 |
Nov 02, 2023 | $35,441.70 | $35,997.80 | $34,311.73 | $34,949.00 | 20 998 158 544 |
Nov 01, 2023 | $34,653.90 | $35,647.19 | $34,079.46 | $35,440.10 | 22 446 272 005 |
Oct 31, 2023 | $34,508.10 | $34,732.18 | $34,038.79 | $34,656.40 | 15 758 270 810 |
Oct 30, 2023 | $34,534.48 | $34,953.40 | $34,077.90 | $34,493.79 | 17 184 860 315 |
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 BTCUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the BTCUSD 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 BTCUSD 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.