Technical Analysis for APX - Appen Ltd
ADX | Long Term | Intermediate Term | Short Term |
---|---|---|---|
Strong | Up | Up | Down |
Date | Alert Name | Type | % Chg |
---|---|---|---|
Fell Below 50 DMA | Bearish | 10.05% | |
Wide Bands | Range Expansion | 10.05% | |
Down 3 Days in a Row | Weakness | 10.05% | |
20 DMA Resistance | Bearish | 4.55% | |
New Downtrend | Bearish | 4.55% | |
Non-ADX 1,2,3,4 Bullish | Bullish Swing Setup | 4.55% | |
Wide Bands | Range Expansion | 4.55% | |
Fell Below 20 DMA | Bearish | 2.68% | |
MACD Bearish Signal Line Cross | Bearish | 2.68% | |
Wide Range Bar | Range Expansion | 2.68% |
Alert | Time |
---|---|
Up 10% | 11 minutes ago |
Up 1 ATR | 11 minutes ago |
20 DMA Resistance | 11 minutes ago |
Rose Above Previous Day's High | about 1 hour ago |
Up 5% | about 3 hours 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 | 2.905 |
52 Week Low | 0.26 |
Average Volume | 11,163,080 |
200-Day Moving Average | 1.024 |
50-Day Moving Average | 2.090 |
20-Day Moving Average | 2.287 |
10-Day Moving Average | 2.526 |
Average True Range | 0.209 |
RSI (14) | 44.75 |
ADX | 30.3 |
+DI | 20.108 |
-DI | 24.685 |
Chandelier Exit (Long, 3 ATRs) | 2.279 |
Chandelier Exit (Short, 3 ATRs) | 2.396 |
Upper Bollinger Bands | 2.921 |
Lower Bollinger Band | 1.653 |
Percent B (%b) | 0.35 |
BandWidth | 55.456 |
MACD Line | 0.101 |
MACD Signal Line | 0.151 |
MACD Histogram | -0.0496 |
Pivot Point Level | Traditional / Classic | Fibonacci | Demark | Woodie | Camarilla |
---|---|---|---|---|---|
Resistance 4 (R4) | 2.375 | ||||
Resistance 3 (R3) | 2.400 | 2.330 | 2.328 | ||
Resistance 2 (R2) | 2.330 | 2.257 | 2.318 | 2.312 | |
Resistance 1 (R1) | 2.210 | 2.213 | 2.175 | 2.185 | 2.296 |
Pivot Point | 2.140 | 2.140 | 2.123 | 2.128 | 2.140 |
Support 1 (S1) | 2.020 | 2.067 | 1.985 | 1.995 | 1.884 |
Support 2 (S2) | 1.950 | 2.023 | 1.938 | 1.868 | |
Support 3 (S3) | 1.830 | 1.950 | 1.853 | ||
Support 4 (S4) | 1.805 |