Eco Depot Pink Sheet Forecast - 20 Period Moving Average
| ECDP Stock | USD 0.15 0.01 7.14% |
The 20 Period Moving Average forecasted value of Eco Depot on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.70. Eco Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Eco Depot stock prices and determine the direction of Eco Depot's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Eco Depot's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Eco Depot to cross-verify your projections. Eco |
Most investors in Eco Depot cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Eco Depot's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Eco Depot's price structures and extracts relationships that further increase the generated results' accuracy.
A commonly used 20-period moving average forecast model for Eco Depot is based on a synthetically constructed Eco Depotdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Eco Depot 20 Period Moving Average Price Forecast For the 19th of April
Given 90 days horizon, the 20 Period Moving Average forecasted value of Eco Depot on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.70.Please note that although there have been many attempts to predict Eco Pink Sheet 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 Eco Depot's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Eco Depot Pink Sheet Forecast Pattern
| Backtest Eco Depot | Eco Depot Price Prediction | Buy or Sell Advice |
Eco Depot Forecasted Value
In the context of forecasting Eco Depot's Pink Sheet 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. Eco Depot's downside and upside margins for the forecasting period are 0 and 10.88, respectively. We have considered Eco Depot'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Eco Depot pink sheet data series using in forecasting. Note that when a statistical model is used to represent Eco Depot pink sheet, 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.| AIC | Akaike Information Criteria | 73.5543 |
| Bias | Arithmetic mean of the errors | 0.008 |
| MAD | Mean absolute deviation | 0.0171 |
| MAPE | Mean absolute percentage error | 0.1228 |
| SAE | Sum of the absolute errors | 0.7025 |
Predictive Modules for Eco Depot
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eco Depot. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Eco Depot's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Eco Depot
For every potential investor in Eco, whether a beginner or expert, Eco Depot's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Eco Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Eco. Basic forecasting techniques help filter out the noise by identifying Eco Depot's price trends.Eco Depot 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 Eco Depot pink sheet to make a market-neutral strategy. Peer analysis of Eco Depot could also be used in its relative valuation, which is a method of valuing Eco Depot by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Eco Depot Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Eco Depot'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 Eco Depot's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Eco Depot Market Strength Events
Market strength indicators help investors to evaluate how Eco Depot pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Eco Depot shares will generate the highest return on investment. By undertsting and applying Eco Depot pink sheet market strength indicators, traders can identify Eco Depot entry and exit signals to maximize returns.
Eco Depot Risk Indicators
The analysis of Eco Depot's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Eco Depot's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eco pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 7.88 | |||
| Standard Deviation | 10.96 | |||
| Variance | 120.19 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with Eco Depot
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Eco Depot position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Eco Depot will appreciate offsetting losses from the drop in the long position's value.Moving against Eco Pink Sheet
| 0.78 | DAL | Delta Air Lines Sell-off Trend | PairCorr |
| 0.77 | TRGP | Targa Resources Financial Report 2nd of May 2024 | PairCorr |
| 0.75 | MTSFY | Mitsui Fudosan | PairCorr |
| 0.73 | GE | GE Aerospace Earnings Call This Week | PairCorr |
| 0.7 | UAL | United Airlines Holdings Buyout Trend | PairCorr |
The ability to find closely correlated positions to Eco Depot could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Eco Depot when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Eco Depot - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Eco Depot to buy it.
The correlation of Eco Depot is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Eco Depot moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Eco Depot moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Eco Depot can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Eco Depot to cross-verify your projections. Note that the Eco Depot information on this page should be used as a complementary analysis to other Eco Depot's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Complementary Tools for Eco Pink Sheet analysis
When running Eco Depot's price analysis, check to measure Eco Depot'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 Eco Depot is operating at the current time. Most of Eco Depot's value examination focuses on studying past and present price action to predict the probability of Eco Depot's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Eco Depot's price. Additionally, you may evaluate how the addition of Eco Depot to your portfolios can decrease your overall portfolio volatility.
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Stocks Directory Find actively traded stocks across global markets | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |