AIU Sygnały na żywo | Maksymalizuj zyski z Getagraph.com

Live Chart Being Loaded With Signals

Commentary (26 birž. 2024 @ 17:49):
Our systems believe the stock currently is undervalued by 0.01% compare to its pairs and should correct upwards.

Meta Data Limited provides tutoring services for the students of kindergarten and primary, middle, and high schools (K12) in the People\'s Republic of China...

Stats
Dzisiejszy wolumen	1 592
Średni wolumen	38 603
Kapitalizacja rynkowa	33.88M
EPS	$9.07 ( Q4 \| 2023-12-26 )
Następna data zysków	( $0 ) 2024-07-14
Last Dividend	$0 ( N/A )
Next Dividend	$0 ( N/A )
P/E	1.830 (Sector) 23.61 (Industry) 22.52
ATR14	$0.00900 (2.05%)

AIU -0.68%

ATGE -0.56%

BEDU -1.51%

CHGG -3.19%

COE 4.38%

COUR -0.08%

DAO 3.79%

EDU 0.44%

FEDU 0.00%

FHS 0.00%

GEHI 5.78%

GHC -0.45%

GOTU 0.79%

GPX 0.00%

IH 4.36%

LRN -1.15%

NEW 0.00%

RYB 2.95%

SKIL 9.67%

STG 1.39%

TAL -0.18%

UTI -0.55%

ZME 0.00%

Insider Trading

Date	Person	Action	Amount	type
2016-08-04	Sheinbaum Marc	Sell	232 575	Common Stock
2016-08-04	Sheinbaum Marc	Sell	273 719	Common Stock
2016-08-04	Sheinbaum Marc	Sell	125 000	Common Stock (right to buy)
2016-08-04	Sheinbaum Marc	Sell	337 349	Restricted Stock Units
2016-08-04	Biddelman Paul	Sell	40 090	Common Stock

INSIDER POWER
0.00
Last 95 transactions
Buy: 1 671 830 \| Sell: 4 366 719

Korelacja (AI algo v.1.1b): Undervalued: 0.01% $0.440 paired level. (Algorytm śledzi zmiany najbardziej skorelowanych akcji w czasie rzeczywistym i natychmiast aktualizuje)

Meta Data Limited Korelacja

10 Najbardziej pozytywne korelacje
GETR	0.931
BBAI-WT	0.899
WRB-PE	0.897
CCG	0.895
EAI	0.879
ADC-PA	0.876
EP-PC	0.87
OAK-PB	0.869
ACHR-WT	0.867
CRI	0.861

10 Najbardziej negatywne korelacje
CATX	-0.865
DEC	-0.851
TNP-PE	-0.827
MRDB	-0.825
GEV	-0.822
ULS	-0.819
SBXC	-0.817

Did You Know?

Correlation is a statistical measure that describes the relationship between two variables. It ranges from -1 to 1, where -1 indicates a perfect negative correlation (as one variable increases, the other decreases), 1 indicates a perfect positive correlation (as one variable increases, the other increases), and 0 indicates no correlation (there is no relationship between the variables).

Correlation can be used to analyze the relationship between any two variables, not just stocks. It's commonly used in fields such as finance, economics, psychology, and more.

Meta Data Limited Finanse

Annual	2023
Przychody:	$32.43M
Zysk brutto:	$15.42M (47.56 %)
EPS:	$15.92

FY	2023
Przychody:	$32.43M
Zysk brutto:	$15.42M (47.56 %)
EPS:	$15.92

FY	2022
Przychody:	$14.61M
Zysk brutto:	$1.82M (12.45 %)
EPS:	$-104.99

FY	2021
Przychody:	$3.42B
Zysk brutto:	$1.33B (38.84 %)
EPS:	$-774.11

Financial Reports:

No articles found.

Meta Data Limited Options Data

Calls

Contract Name	Last Trade Date (EDT)	Strike	Last Price	Bid	Ask	Change	% Change	Volume	Open Interest	Implied Volatility	Strike Date
No data available

Puts

Contract Name	Last Trade Date (EDT)	Strike	Last Price	Bid	Ask	Change	% Change	Volume	Open Interest	Implied Volatility	Strike Date
No data available

Meta Data Limited

Meta Data Limited provides tutoring services for the students of kindergarten and primary, middle, and high schools (K12) in the People\'s Republic of China. It offers premium tutoring services for exam preparation under the OneSmart VIP brand; young children education services, including Chinese language, mathematics, science, and computer programming under the HappyMath brand; and English tutoring services focusing on early childhood under the FasTrack English brand. The company also provides online education courses under the OneSmart Online brand to existing student base from OneSmart VIP, HappyMath, and FasTrack English. As of August 31, 2021, it operated a network of 498 learning centers across 44 cities in China. The company was formerly known as OneSmart International Education Group Limited and changed its name to Meta Data Limited in April 2022. Meta Data Limited was founded in 2007 and is headquartered in Shanghai, the People\'s Republic of China.