Technical Analysis for APX - Appen Ltd
Grade | Last Price | % Change | Price Change |
---|---|---|---|
A | 2.770 | -3.48% | -0.100 |
ADX | Long Term | Intermediate Term | Short Term |
---|---|---|---|
Strong | Up | Up | Up |
Date | Alert Name | Type | % Chg |
---|---|---|---|
New 52 Week Closing High | Bullish | -3.48% | |
Pocket Pivot | Bullish Swing Setup | -3.48% | |
New 52 Week High | Strength | -3.48% | |
Upper Bollinger Band Walk | Strength | -3.48% | |
Wide Bands | Range Expansion | -3.48% | |
Above Upper BB | Strength | -3.48% | |
Overbought Stochastic | Strength | -3.48% | |
Up 3 Days in a Row | Strength | -3.48% | |
Upper Bollinger Band Touch | Strength | -3.48% | |
New 52 Week Closing High | Bullish | 6.95% |
Alert | Time |
---|---|
Rose Above Previous Day's High | about 1 hour ago |
New 52 Week High | about 1 hour ago |
Up 1% | about 1 hour ago |
Down 3% | about 1 hour ago |
Down 2% | about 1 hour ago |
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Appen Ltd Description
Appen Limited is engaged in the provision of data solutions and services for global technology companies and government agencies. The Company operates through two segments: Content Relevance and Language Resources. The Content Relevance segment provides annotated data used in search technology (embedded in Web, e-commerce and social engagement) for managing relevance and accuracy of search results. The Language Resources segment provides data used in speech recognizers, machine translation, speech synthesizers and other machine-learning technologies for devices, including Internet-connected devices, in-car automotive systems and speech-enabled consumer electronics. Its solutions include search technology, such as whole-page evaluation and query categorization; language technology, such as phonetic transcription, sentiment analysis, speech-recognition training data, and conversational data; social technology; crowd sourcing, and project management for global deployments.
Classification
Sector: Technology
Industry: Software - Application
Keywords: Internet E Commerce Training Sourcing Learning Artificial Intelligence Electronics Consumer Electronics Human–Computer Interaction Machine Learning Cognition Translation Computational Linguistics Machine Learning Technologies Machine Translation Search Technology Speech Recognition
Indicator | Bull Case | Neutral / Hold | Bear Case |
---|---|---|---|
50 DMA | |||
200 DMA | |||
ADX Trend | |||
Oversold / Overbought | |||
Relative Strength |
Indicator | Value |
---|---|
52 Week High | 2.9 |
52 Week Low | 0.26 |
Average Volume | 11,256,184 |
200-Day Moving Average | 0.936 |
50-Day Moving Average | 1.885 |
20-Day Moving Average | 2.099 |
10-Day Moving Average | 2.208 |
Average True Range | 0.192 |
RSI (14) | 77.17 |
ADX | 30.37 |
+DI | 39.356 |
-DI | 10.093 |
Chandelier Exit (Long, 3 ATRs) | 2.325 |
Chandelier Exit (Short, 3 ATRs) | 2.345 |
Upper Bollinger Bands | 2.597 |
Lower Bollinger Band | 1.601 |
Percent B (%b) | 1.27 |
BandWidth | 47.435 |
MACD Line | 0.169 |
MACD Signal Line | 0.098 |
MACD Histogram | 0.0709 |
Pivot Point Level | Traditional / Classic | Fibonacci | Demark | Woodie | Camarilla |
---|---|---|---|---|---|
Resistance 4 (R4) | 3.380 | ||||
Resistance 3 (R3) | 3.333 | 3.117 | 3.295 | ||
Resistance 2 (R2) | 3.117 | 2.987 | 3.140 | 3.267 | |
Resistance 1 (R1) | 2.993 | 2.907 | 3.055 | 3.040 | 3.238 |
Pivot Point | 2.777 | 2.777 | 2.808 | 2.800 | 2.777 |
Support 1 (S1) | 2.653 | 2.647 | 2.715 | 2.700 | 2.502 |
Support 2 (S2) | 2.437 | 2.567 | 2.460 | 2.473 | |
Support 3 (S3) | 2.313 | 2.437 | 2.445 | ||
Support 4 (S4) | 2.360 |