NYSEARCA:IQM

Franklin Intelligent Machines Etf ETF Price (Quote)

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$84.84
-1.11 (-1.29%)
At Close: Nov 17, 2025

Range Low Price High Price Comment
30 days $82.95 $96.07 Monday, 17th Nov 2025 IQM stock ended at $84.84. This is 1.29% less than the trading day before Friday, 14th Nov 2025. During the day the stock fluctuated 2.44% from a day low at $84.23 to a day high of $86.29.
90 days $77.12 $96.07
52 weeks $50.39 $96.07

Historical Franklin Intelligent Machines ETF prices

Date Open High Low Close Volume
Nov 17, 2025 $85.24 $86.29 $84.23 $84.84 4 428
Nov 14, 2025 $82.95 $86.81 $82.95 $85.95 4 205
Nov 13, 2025 $85.95 $88.27 $84.72 $85.28 10 059
Nov 12, 2025 $90.24 $90.53 $89.00 $89.51 3 928
Nov 11, 2025 $90.59 $90.59 $89.75 $89.83 3 866
Nov 10, 2025 $90.63 $91.81 $90.62 $91.76 4 614
Nov 07, 2025 $87.79 $89.05 $86.39 $88.98 18 451
Nov 06, 2025 $90.02 $90.45 $89.54 $90.12 10 670
Nov 05, 2025 $91.69 $93.03 $90.85 $92.31 5 216
Nov 04, 2025 $93.84 $94.15 $92.12 $92.12 22 795
Nov 03, 2025 $95.29 $95.81 $94.92 $95.58 7 587
Oct 31, 2025 $95.43 $95.43 $94.09 $95.09 7 020
Oct 30, 2025 $95.16 $95.16 $94.26 $94.32 7 181
Oct 29, 2025 $95.12 $96.07 $95.02 $95.94 10 021
Oct 28, 2025 $94.02 $94.11 $93.37 $94.00 8 803
Oct 27, 2025 $92.87 $92.94 $92.36 $92.94 7 547
Oct 24, 2025 $91.46 $91.50 $91.01 $91.27 4 516
Oct 23, 2025 $88.60 $89.99 $88.60 $89.93 8 115
Oct 22, 2025 $89.50 $89.50 $86.18 $86.28 5 149
Oct 21, 2025 $89.06 $89.13 $88.80 $88.84 4 660
Oct 20, 2025 $89.27 $89.42 $89.02 $89.21 2 681
Oct 17, 2025 $87.71 $88.33 $87.08 $88.22 11 523
Oct 16, 2025 $89.09 $89.64 $88.12 $88.39 5 866
Oct 15, 2025 $89.75 $90.00 $87.79 $88.75 9 039
Oct 14, 2025 $87.06 $89.20 $87.06 $88.85 4 337

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 IQM stock historical prices to predict future price movements?
Trend Analysis: Examine the IQM 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 IQM 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 FRANKLIN INTELLIGENT MACHINES ETF
The investment seeks capital appreciation. Under normal market conditions, the fund invests at least 80% of its net assets in equity securities of companies that are relevant to its investment theme of intelligent machines. The fund invests predominantly in common stock. Although it may invest across economic sectors, the advisor expects to have significant positions in particular sectors including technology. The fund is non-diversified....
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