NYSEARCA:BLOK

Amplify Transformational Data Sharing Etf ETF Price (Quote)

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$60.49
+1.96 (+3.35%)
At Close: Jul 20, 2026

Range Low Price High Price Comment
30 days $57.02 $69.11 Monday, 20th Jul 2026 BLOK stock ended at $60.49. This is 3.35% more than the trading day before Friday, 17th Jul 2026. During the day the stock fluctuated 2.75% from a day low at $59.36 to a day high of $61.00.
90 days $57.02 $69.41
52 weeks $46.95 $75.89

Historical Amplify Transformational Data Sharing ETF prices

Date Open High Low Close Volume
Jul 20, 2026 $59.74 $61.00 $59.36 $60.49 221 216
Jul 17, 2026 $57.75 $58.71 $57.02 $58.53 170 044
Jul 16, 2026 $60.88 $61.07 $59.35 $59.64 236 608
Jul 15, 2026 $61.33 $62.46 $60.66 $61.96 130 106
Jul 14, 2026 $61.56 $61.70 $60.52 $61.26 287 483
Jul 13, 2026 $61.85 $62.38 $60.39 $60.81 203 331
Jul 10, 2026 $63.95 $64.38 $62.48 $62.66 86 563
Jul 09, 2026 $62.67 $63.99 $62.67 $63.42 60 149
Jul 08, 2026 $61.62 $62.22 $60.37 $62.20 117 628
Jul 07, 2026 $62.67 $62.97 $60.67 $61.62 123 451
Jul 06, 2026 $62.85 $64.13 $62.51 $63.47 144 953
Jul 02, 2026 $63.99 $64.15 $60.94 $61.58 132 327
Jul 01, 2026 $62.07 $63.59 $61.53 $62.68 203 800
Jun 30, 2026 $62.38 $63.12 $62.20 $62.63 180 428
Jun 29, 2026 $63.66 $63.86 $61.25 $63.01 193 990
Jun 26, 2026 $61.46 $63.30 $61.19 $63.17 4 688
Jun 25, 2026 $63.24 $64.91 $61.69 $62.37 268 525
Jun 24, 2026 $65.23 $65.23 $62.85 $63.61 273 275
Jun 23, 2026 $64.08 $66.36 $63.87 $65.29 260 963
Jun 22, 2026 $67.31 $69.11 $66.39 $66.50 196 220
Jun 18, 2026 $66.91 $67.12 $66.07 $66.78 132 626
Jun 17, 2026 $65.97 $68.08 $65.62 $65.70 147 860
Jun 16, 2026 $66.61 $67.72 $66.18 $66.19 107 985
Jun 15, 2026 $66.46 $67.42 $66.46 $66.63 213 459
Jun 12, 2026 $63.53 $65.20 $63.44 $64.04 175 942

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 BLOK stock historical prices to predict future price movements?
Trend Analysis: Examine the BLOK 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 BLOK 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 AMPLIFY TRANSFORMATIONAL DATA SHARING ETF
The investment seeks to provide investors with total return. The fund is an actively managed ETF that seeks to provide total return by investing at least 80% of its net assets (including investment borrowings) in the equity securities of companies actively involved in the development and utilization of transformational data sharing technologies. It may invest in non-U.S. equity securities, including depositary receipts....
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