Technical Analysis for APX - Appen Ltd
ADX | Long Term | Intermediate Term | Short Term |
---|---|---|---|
Weak or Absent | Down | Down | Down |
Date | Alert Name | Type | % Chg |
---|---|---|---|
Bollinger Band Squeeze | Range Contraction | 0.00% | |
Narrow Range Bar | Range Contraction | 0.00% | |
Down 3 Days in a Row | Weakness | 0.00% | |
Down 4 Days in a Row | Weakness | 0.00% | |
Oversold Stochastic | Weakness | 0.00% | |
Bollinger Band Squeeze | Range Contraction | -0.88% | |
Stochastic Reached Oversold | Weakness | -0.88% | |
BB Squeeze + Lower Band Touch | Range Contraction | -0.88% | |
Down 3 Days in a Row | Weakness | -0.88% | |
Lower Bollinger Band Touch | Weakness | -0.88% |
Alert | Time |
---|---|
Lower Bollinger Band Support | 2 days ago |
Down 1% | 2 days ago |
Down 3% | 3 days ago |
Fell Below Lower Bollinger Band | 3 days ago |
Lower Bollinger Band Support | 3 days 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 Training E Commerce Sourcing Learning Electronics Artificial Intelligence 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 | 3.96 |
52 Week Low | 0.26 |
Average Volume | 5,333,801 |
200-Day Moving Average | 0.826 |
50-Day Moving Average | 0.630 |
20-Day Moving Average | 0.603 |
10-Day Moving Average | 0.590 |
Average True Range | 0.034 |
RSI (14) | 39.76 |
ADX | 7.9 |
+DI | 24.974 |
-DI | 28.319 |
Chandelier Exit (Long, 3 ATRs) | 0.567 |
Chandelier Exit (Short, 3 ATRs) | 0.658 |
Upper Bollinger Bands | 0.652 |
Lower Bollinger Band | 0.553 |
Percent B (%b) | 0.07 |
BandWidth | 16.390 |
MACD Line | -0.017 |
MACD Signal Line | -0.013 |
MACD Histogram | -0.0042 |
Pivot Point Level | Traditional / Classic | Fibonacci | Demark | Woodie | Camarilla |
---|---|---|---|---|---|
Resistance 4 (R4) | 0.583 | ||||
Resistance 3 (R3) | 0.583 | 0.577 | 0.579 | ||
Resistance 2 (R2) | 0.577 | 0.571 | 0.576 | 0.577 | |
Resistance 1 (R1) | 0.568 | 0.567 | 0.565 | 0.568 | 0.576 |
Pivot Point | 0.562 | 0.562 | 0.560 | 0.561 | 0.562 |
Support 1 (S1) | 0.553 | 0.556 | 0.550 | 0.553 | 0.544 |
Support 2 (S2) | 0.547 | 0.552 | 0.546 | 0.543 | |
Support 3 (S3) | 0.538 | 0.547 | 0.541 | ||
Support 4 (S4) | 0.538 |