KoKo Petroleum Stock Forecast - Naive Prediction

The Naive Prediction forecasted value of KoKo Petroleum on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. KoKo Stock Forecast is based on your current time horizon.
At this time the value of relative strength index of KoKo Petroleum's share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of KoKo Petroleum's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with KoKo Petroleum, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting KoKo Petroleum's stock price prediction:
Quarterly Revenue Growth
(0.54)
Using KoKo Petroleum hype-based prediction, you can estimate the value of KoKo Petroleum from the perspective of KoKo Petroleum response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of KoKo Petroleum on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00.

KoKo Petroleum after-hype prediction price

    
  USD 0.0  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of KoKo Petroleum to cross-verify your projections.
For more information on how to buy KoKo Stock please use our How to Invest in KoKo Petroleum guide.Receivables Turnover is likely to drop to 4.06 in 2026. Fixed Asset Turnover is likely to drop to 0.1 in 2026. Net Loss is likely to drop to about (121.6 K) in 2026.

KoKo Petroleum Additional Predictive Modules

Most predictive techniques to examine KoKo price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for KoKo using various technical indicators. When you analyze KoKo charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the KoKo Petroleum's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2010-12-31
Previous Quarter
69.9 K
Current Value
93 K
Quarterly Volatility
19.1 K
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for KoKo Petroleum is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of KoKo Petroleum value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

KoKo Petroleum Naive Prediction Price Forecast For the 12th of January 2026

Given 90 days horizon, the Naive Prediction forecasted value of KoKo Petroleum on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict KoKo Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that KoKo Petroleum's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KoKo Petroleum Stock Forecast Pattern

Backtest KoKo PetroleumKoKo Petroleum Price PredictionBuy or Sell Advice 

KoKo Petroleum Forecasted Value

In the context of forecasting KoKo Petroleum's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. KoKo Petroleum's downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered KoKo Petroleum's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.00
0.00
Expected Value
0.00
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of KoKo Petroleum stock data series using in forecasting. Note that when a statistical model is used to represent KoKo Petroleum stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of KoKo Petroleum. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict KoKo Petroleum. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for KoKo Petroleum

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KoKo Petroleum. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details

Other Forecasting Options for KoKo Petroleum

For every potential investor in KoKo, whether a beginner or expert, KoKo Petroleum's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. KoKo Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in KoKo. Basic forecasting techniques help filter out the noise by identifying KoKo Petroleum's price trends.

KoKo Petroleum Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with KoKo Petroleum stock to make a market-neutral strategy. Peer analysis of KoKo Petroleum could also be used in its relative valuation, which is a method of valuing KoKo Petroleum by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

KoKo Petroleum Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of KoKo Petroleum's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of KoKo Petroleum's current price.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for KoKo Stock Analysis

When running KoKo Petroleum's price analysis, check to measure KoKo Petroleum's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy KoKo Petroleum is operating at the current time. Most of KoKo Petroleum's value examination focuses on studying past and present price action to predict the probability of KoKo Petroleum's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move KoKo Petroleum's price. Additionally, you may evaluate how the addition of KoKo Petroleum to your portfolios can decrease your overall portfolio volatility.