Range Low Price High Price Comment
30 days $1.98 $2.65 Friday, 24th May 2024 LGO.TO stock ended at $2.62. During the day the stock fluctuated 0% from a day low at $2.62 to a day high of $2.62.
90 days $1.89 $2.69
52 weeks $1.89 $6.31

Historical Largo Resources Ltd. prices

Date Open High Low Close Volume
Jun 30, 2023 $5.45 $5.66 $5.45 $5.62 14 239
Jun 29, 2023 $5.39 $5.48 $5.30 $5.48 26 554
Jun 28, 2023 $5.40 $5.41 $5.29 $5.34 56 947
Jun 27, 2023 $5.44 $5.48 $5.26 $5.39 24 930
Jun 26, 2023 $5.35 $5.46 $5.21 $5.38 15 860
Jun 23, 2023 $5.42 $5.42 $5.25 $5.36 21 605
Jun 22, 2023 $5.60 $5.60 $5.42 $5.53 37 243
Jun 21, 2023 $5.73 $5.74 $5.56 $5.62 21 541
Jun 20, 2023 $6.15 $6.15 $5.74 $5.74 38 996
Jun 19, 2023 $6.02 $6.31 $6.02 $6.15 8 193
Jun 16, 2023 $6.08 $6.09 $5.90 $6.07 30 187
Jun 15, 2023 $5.98 $6.10 $5.92 $6.08 48 665
Jun 14, 2023 $5.98 $6.03 $5.78 $6.00 71 662
Jun 13, 2023 $5.85 $5.98 $5.81 $5.98 89 110
Jun 12, 2023 $5.67 $5.86 $5.67 $5.76 89 591
Jun 09, 2023 $5.74 $5.80 $5.63 $5.77 43 229
Jun 08, 2023 $5.66 $5.88 $5.54 $5.77 129 965
Jun 07, 2023 $5.46 $5.68 $5.44 $5.60 44 947
Jun 06, 2023 $5.22 $5.56 $5.13 $5.44 76 184
Jun 05, 2023 $5.15 $5.23 $5.04 $5.20 136 110
Jun 02, 2023 $5.15 $5.29 $5.14 $5.15 35 390
Jun 01, 2023 $5.18 $5.21 $4.89 $5.12 108 390
May 31, 2023 $5.25 $5.25 $4.93 $5.09 104 822
May 30, 2023 $5.44 $5.44 $5.21 $5.37 32 299
May 29, 2023 $5.65 $5.65 $5.44 $5.51 25 150

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 LGO.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the LGO.TO 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 LGO.TO 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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