NASDAQ:FNGN
Delisted
Financial Engines Stock Price (Quote)
$44.95
+0 (+0%)
At Close: Sep 14, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $44.95 | $44.95 | Friday, 14th Sep 2018 FNGN stock ended at $44.95. During the day the stock fluctuated 0% from a day low at $44.95 to a day high of $44.95. |
90 days | $44.80 | $45.00 | |
52 weeks | $24.45 | $45.00 |
Date | Open | High | Low | Close | Volume |
Feb 09, 2018 | $27.75 | $28.10 | $27.25 | $27.70 | 358 526 |
Feb 08, 2018 | $28.00 | $28.20 | $27.50 | $27.50 | 358 500 |
Feb 07, 2018 | $27.90 | $28.20 | $27.65 | $27.85 | 387 698 |
Feb 06, 2018 | $26.80 | $28.45 | $26.80 | $27.95 | 557 827 |
Feb 05, 2018 | $28.00 | $28.30 | $27.20 | $27.45 | 339 244 |
Feb 02, 2018 | $28.60 | $29.05 | $28.05 | $28.20 | 234 736 |
Feb 01, 2018 | $28.35 | $28.85 | $28.20 | $28.80 | 493 812 |
Jan 31, 2018 | $28.65 | $29.23 | $28.40 | $28.45 | 288 394 |
Jan 30, 2018 | $28.85 | $29.05 | $28.55 | $28.60 | 257 300 |
Jan 29, 2018 | $29.40 | $29.68 | $29.05 | $29.10 | 279 026 |
Jan 26, 2018 | $29.25 | $29.65 | $29.20 | $29.45 | 184 260 |
Jan 25, 2018 | $29.65 | $29.95 | $29.10 | $29.20 | 243 916 |
Jan 24, 2018 | $30.05 | $30.45 | $29.40 | $29.50 | 320 482 |
Jan 23, 2018 | $29.75 | $30.10 | $29.60 | $29.85 | 248 874 |
Jan 22, 2018 | $30.00 | $30.13 | $29.50 | $29.75 | 360 582 |
Jan 19, 2018 | $29.20 | $30.00 | $29.20 | $30.00 | 390 249 |
Jan 18, 2018 | $29.70 | $30.10 | $29.05 | $29.15 | 357 157 |
Jan 17, 2018 | $29.50 | $29.80 | $29.45 | $29.75 | 423 544 |
Jan 16, 2018 | $29.90 | $29.95 | $29.20 | $29.25 | 555 375 |
Jan 15, 2018 | $29.60 | $29.60 | $29.60 | $29.60 | 0 |
Jan 12, 2018 | $29.25 | $29.85 | $28.85 | $29.60 | 1 286 485 |
Jan 11, 2018 | $28.85 | $29.28 | $28.20 | $29.00 | 1 239 582 |
Jan 10, 2018 | $28.95 | $29.25 | $28.50 | $28.70 | 1 144 006 |
Jan 09, 2018 | $30.30 | $30.75 | $29.85 | $29.90 | 403 728 |
Jan 08, 2018 | $30.00 | $30.85 | $29.70 | $30.30 | 352 369 |
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 FNGN stock historical prices to predict future price movements?
Trend Analysis: Examine the FNGN 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 FNGN 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.