NYSE:SACH
Sachem Capital Corp Stock Price (Quote)
$3.20
-0.0200 (-0.621%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.09 | $3.27 | Friday, 17th May 2024 SACH stock ended at $3.20. This is 0.621% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.25% from a day low at $3.20 to a day high of $3.24. |
90 days | $3.09 | $4.64 | |
52 weeks | $2.99 | $4.64 |
Date | Open | High | Low | Close | Volume |
Apr 14, 2023 | $3.70 | $3.73 | $3.55 | $3.61 | 443 718 |
Apr 13, 2023 | $3.80 | $3.83 | $3.77 | $3.83 | 512 340 |
Apr 12, 2023 | $3.75 | $3.85 | $3.75 | $3.80 | 380 759 |
Apr 11, 2023 | $3.78 | $3.80 | $3.72 | $3.72 | 531 276 |
Apr 10, 2023 | $3.73 | $3.80 | $3.72 | $3.75 | 583 443 |
Apr 06, 2023 | $3.78 | $3.78 | $3.69 | $3.70 | 292 961 |
Apr 05, 2023 | $3.65 | $3.76 | $3.58 | $3.76 | 393 281 |
Apr 04, 2023 | $3.74 | $3.74 | $3.61 | $3.63 | 204 187 |
Apr 03, 2023 | $3.83 | $3.83 | $3.67 | $3.70 | 339 161 |
Mar 31, 2023 | $3.67 | $3.89 | $3.65 | $3.72 | 756 196 |
Mar 30, 2023 | $3.72 | $3.72 | $3.54 | $3.61 | 337 216 |
Mar 29, 2023 | $3.66 | $3.71 | $3.65 | $3.67 | 200 585 |
Mar 28, 2023 | $3.59 | $3.66 | $3.57 | $3.65 | 184 216 |
Mar 27, 2023 | $3.59 | $3.64 | $3.55 | $3.61 | 156 557 |
Mar 24, 2023 | $3.46 | $3.60 | $3.43 | $3.57 | 137 871 |
Mar 23, 2023 | $3.51 | $3.59 | $3.48 | $3.49 | 196 560 |
Mar 22, 2023 | $3.59 | $3.62 | $3.51 | $3.52 | 215 414 |
Mar 21, 2023 | $3.48 | $3.59 | $3.45 | $3.56 | 238 582 |
Mar 20, 2023 | $3.45 | $3.47 | $3.36 | $3.39 | 279 573 |
Mar 17, 2023 | $3.42 | $3.44 | $3.31 | $3.39 | 439 394 |
Mar 16, 2023 | $3.41 | $3.47 | $3.30 | $3.44 | 216 080 |
Mar 15, 2023 | $3.46 | $3.46 | $3.30 | $3.40 | 344 771 |
Mar 14, 2023 | $3.42 | $3.60 | $3.42 | $3.49 | 388 533 |
Mar 13, 2023 | $3.41 | $3.46 | $3.28 | $3.38 | 404 302 |
Mar 10, 2023 | $3.75 | $3.75 | $3.41 | $3.45 | 631 882 |
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 SACH stock historical prices to predict future price movements?
Trend Analysis: Examine the SACH 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 SACH 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.