Technical Analysis for APX - Appen Ltd
ADX | Long Term | Intermediate Term | Short Term |
---|---|---|---|
Weak or Absent | Down | Down | Flat |
Date | Alert Name | Type | % Chg |
---|---|---|---|
Non-ADX 1,2,3,4 Bearish | Bearish Swing Setup | 0.00% | |
Bollinger Band Squeeze | Range Contraction | 0.00% | |
Narrow Range Bar | Range Contraction | 0.00% | |
Inside Day | Range Contraction | 0.00% | |
Oversold Stochastic | Weakness | 0.00% | |
20 DMA Resistance | Bearish | 0.83% | |
180 Bearish Setup | Bearish Swing Setup | 0.83% | |
Bollinger Band Squeeze | Range Contraction | 0.83% | |
BB Squeeze Started | Range Contraction | 0.83% | |
Oversold Stochastic | Weakness | 0.83% |
Alert | Time |
---|---|
Possible Inside Day | about 8 hours ago |
Up 2% | about 11 hours ago |
Up 3% | about 11 hours ago |
Rose Above 10 DMA | about 11 hours ago |
Up 1% | about 11 hours ago |
Free Daily (Stock) Chart Reading
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 | 8,275,599 |
200-Day Moving Average | 0.930 |
50-Day Moving Average | 0.672 |
20-Day Moving Average | 0.630 |
10-Day Moving Average | 0.609 |
Average True Range | 0.045 |
RSI (14) | 46.81 |
ADX | 10.34 |
+DI | 25.660 |
-DI | 26.429 |
Chandelier Exit (Long, 3 ATRs) | 0.764 |
Chandelier Exit (Short, 3 ATRs) | 0.706 |
Upper Bollinger Bands | 0.685 |
Lower Bollinger Band | 0.576 |
Percent B (%b) | 0.31 |
BandWidth | 17.357 |
MACD Line | -0.014 |
MACD Signal Line | -0.010 |
MACD Histogram | -0.0039 |
Pivot Point Level | Traditional / Classic | Fibonacci | Demark | Woodie | Camarilla |
---|---|---|---|---|---|
Resistance 4 (R4) | 0.640 | ||||
Resistance 3 (R3) | 0.642 | 0.633 | 0.635 | ||
Resistance 2 (R2) | 0.633 | 0.626 | 0.633 | 0.633 | |
Resistance 1 (R1) | 0.622 | 0.621 | 0.628 | 0.620 | 0.632 |
Pivot Point | 0.613 | 0.613 | 0.616 | 0.613 | 0.613 |
Support 1 (S1) | 0.602 | 0.606 | 0.608 | 0.600 | 0.588 |
Support 2 (S2) | 0.593 | 0.601 | 0.593 | 0.587 | |
Support 3 (S3) | 0.582 | 0.593 | 0.585 | ||
Support 4 (S4) | 0.580 |