PT Sumber (Indonesia) Profile

650.00
IDR 0.00  0.00%
0%
0%

PT Sumber Summary

PT Sumber Energi Andalan Tbk (ITMA) is traded on Jakarta Stock Exchange in Indonesia. and employs 8 people. The company currently falls under 'Mega-Cap' category with current market capitalization of 442 B. PT Sumber Energi Andalan Tbk has 680 B outstanding shares.
Check PT Sumber Probability Of Bankruptcy

Target Price Odds Analysis

Odds Below 650.0HorizonTargetOdds Above 650.0
70.35%30 days 650.00 29.59%
Based on normal probability distribution, the odds of PT Sumber to move above current price in 30 days from now is about 29.59% (This PT Sumber Energi Andalan Tbk probability density function shows the probability of PT Sumber Stock to fall within a particular range of prices over 30 days) .

PT Sumber Energi Risk Profiles

PT Sumber Energi Technical Analysis

Transformation
The output start index for this execution was zero with a total number of output elements of seventeen. PT Sumber Energi Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe PT Sumber price patterns. View also all equity analysis or get more info about inverse tangent over price movement math transform indicator.

Key Fundamentals

PT Sumber Against Markets

Current Ratings

PT Sumber 30 Days Performance Scores
Risk Adjusted
Performance Score (0 to 100)
0 
Equity ratings for PT Sumber Energi Andalan Tbk are calculated dynamically based on Macroaxis scoring framework. Click here to learn more
NamePT Sumber Energi Andalan Tbk
President CommissionerKottamasu RaoView All
Macroaxis Advice
InstrumentIndonesia Stock View All
ExchangeJakarta Stock Exchange
BenchmarkDOW
CurrencyIDR

Diversify with PT Sumber Energi Andalan Tbk

Build Optimal Portfolios
Fix your portfolio
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations when you add PT Sumber Energi Andalan Tbk to your portfolio
Please also check Risk vs Return Analysis. Please also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.