Introduction
MongoDB, a leading database platform, is a significant player in the technology sector. Analyzing MongoDB stock on various technical fronts, including oscillators, moving averages, and pivot points, can provide insights into its current market conditions. In this article, we will conduct a thorough examination of MongoDB’s stock using the provided details.
Oscillators Analysis for MongoDB Stock After 6 Percent Run
Oscillators are crucial indicators that offer insights into market momentum and potential reversal points. MongoDB’s oscillators provide a nuanced view of the stock’s current state:
- Relative Strength Index (RSI 14): The RSI stands at 65.81, indicating a neutral stance. This suggests a balanced market sentiment.
- Stochastic %K (14, 3, 3): With a value of 97.93, the Stochastic %K suggests a neutral stance. Such high values may hint at potential overbought conditions.
- Commodity Channel Index (CCI 20): The CCI stands at 162.45, signaling a neutral position. Elevated CCI values may indicate potential overbought conditions.
- Average Directional Index (ADX 14): The ADX at 21.42 suggests a neutral stance, indicating the absence of a strong trend.
- Awesome Oscillator: With a value of 3.58, the Awesome Oscillator points to a neutral position, reflecting the balance between bullish and bearish forces.
- Momentum (10): Momentum stands at 21.32, indicating a buy signal. This suggests a potential upward movement in the stock.
- MACD Level (12, 26): The MACD Level at 1.89 provides a buy signal, indicating positive momentum.
- Stochastic RSI Fast (3, 3, 14, 14): The Stochastic RSI at 100.00 suggests a neutral stance. Extreme values may indicate potential reversals.
- Williams Percent Range (W%R 14): W%R at -0.24 signals a sell recommendation. Values near -100 indicate potential oversold conditions.
- Bull Bear Power: At 18.73, Bull Bear Power indicates a neutral stance, reflecting the balance between bullish and bearish forces.
- Ultimate Oscillator (7, 14, 28): With a value of 74.91, the Ultimate Oscillator provides a buy signal, suggesting positive momentum.
Moving Averages Analysis after MongoDB’s 6 Percent Run
Moving averages are essential for identifying trends and potential reversal points. MongoDB’s moving averages for the hourly time frame are as follows:
- Exponential Moving Average (10): EMA (10) at 409.93 provides a buy signal, indicating a positive trend.
- Simple Moving Average (10): SMA (10) at 406.69 aligns with the bullish sentiment, offering a buy recommendation.
- Exponential Moving Average (20): EMA (20) at 407.55 supports the overall bullish trend.
- Simple Moving Average (20): SMA (20) at 404.27 reinforces the positive sentiment with a buy recommendation.
- Exponential Moving Average (30): EMA (30) at 406.91 provides another buy signal, sustaining the upward momentum.
- Simple Moving Average (30): SMA (30) at 407.78 aligns with the overall positive market sentiment.
- Exponential Moving Average (50): EMA (50) at 405.34 signals a continuation of the bullish trend.
- Simple Moving Average (50): SMA (50) at 407.62 supports the positive sentiment with a buy recommendation.
- Exponential Moving Average (100): EMA (100) at 401.80 suggests a sustained bullish trend.
- Simple Moving Average (100): SMA (100) at 399.02 aligns with the overall positive market sentiment.
- Exponential Moving Average (200): EMA (200) at 398.75 provides a strong buy signal.
- Simple Moving Average (200): SMA (200) at 399.12 supports the long-term bullish outlook.
- Ichimoku Base Line (9, 26, 52, 26): The Ichimoku Base Line at 408.07 reflects a neutral stance.
- Volume Weighted Moving Average (20): VWMA at 404.02 provides a buy signal, supporting the bullish trend.
- Hull Moving Average (9): The Hull Moving Average at 419.67 offers a buy recommendation, reinforcing the bullish trend.
Pivot Points Examination on MongoDB
Pivot points are critical levels used to identify potential support and resistance areas. MongoDB’s hourly time frame pivot points, classified into Classic, Fibonacci, Camarilla, Woodie, and DM, offer insights into potential reversal zones:
Pivot | Classic | Fibonacci | Camarilla | Woodie | DM |
---|---|---|---|---|---|
S3 | 334.06 | 369.22 | 385.62 | 344.54 | – |
S2 | 369.22 | 382.65 | 388.84 | 367.95 | – |
S1 | 382.26 | 390.95 | 392.07 | 379.70 | 375.74 |
P | 404.38 | 404.38 | 404.38 | 403.11 | 401.13 |
R1 | 417.42 | 417.81 | 398.51 | 414.86 | 410.90 |
R2 | 439.54 | 426.11 | 401.74 | 438.27 | – |
R3 | 474.70 | 439.54 | 404.96 | 450.02 | – |
Conclusion on What to Do Next on MongoDB’s Stock
In conclusion, the analysis of MongoDB stock on the hourly time frame indicates a market that is currently experiencing a bullish signal. Traders and investors should carefully consider these technical indicators along with broader market trends, economic factors, and geopolitical events before making any investment decisions. The provided analysis serves as a foundation for understanding the current market dynamics, but a comprehensive approach is necessary for navigating the ever-changing financial landscape successfully.