Ligand Pharms Pink Sheet Forecast - Polynomial Regression
| LGNXZ Stock | USD 0 0 57.89% |
The Polynomial Regression forecasted value of Ligand Pharms Glucagon on the next trading day is expected to be 0 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.10. Ligand Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Ligand Pharms stock prices and determine the direction of Ligand Pharms Glucagon's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Ligand Pharms' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in interest. Ligand |
Most investors in Ligand Pharms 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 Ligand Pharms' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Ligand Pharms' price structures and extracts relationships that further increase the generated results' accuracy.
Ligand Pharms polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Ligand Pharms Glucagon as well as the accuracy indicators are determined from the period prices. Ligand Pharms Polynomial Regression Price Forecast For the 25th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Ligand Pharms Glucagon on the next trading day is expected to be 0 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000806, and the sum of the absolute errors of 0.10.Please note that although there have been many attempts to predict Ligand 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 Ligand Pharms' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ligand Pharms Pink Sheet Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Ligand Pharms pink sheet data series using in forecasting. Note that when a statistical model is used to represent Ligand Pharms 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 | 106.3822 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0017 |
| MAPE | Mean absolute percentage error | 0.585 |
| SAE | Sum of the absolute errors | 0.1047 |
Predictive Modules for Ligand Pharms
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ligand Pharms Glucagon. 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 Ligand Pharms' 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.
Ligand Pharms 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 Ligand Pharms pink sheet to make a market-neutral strategy. Peer analysis of Ligand Pharms could also be used in its relative valuation, which is a method of valuing Ligand Pharms by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ligand Pharms Market Strength Events
Market strength indicators help investors to evaluate how Ligand Pharms 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 Ligand Pharms shares will generate the highest return on investment. By undertsting and applying Ligand Pharms pink sheet market strength indicators, traders can identify Ligand Pharms Glucagon entry and exit signals to maximize returns.
| Accumulation Distribution | 6783.33 | |||
| Daily Balance Of Power | 0.5 | |||
| Rate Of Daily Change | 1.58 | |||
| Day Median Price | 0.0019 | |||
| Day Typical Price | 0.0023 | |||
| Price Action Indicator | 0.0017 | |||
| Period Momentum Indicator | 0.0011 | |||
| Relative Strength Index | 35.57 |
Ligand Pharms Risk Indicators
The analysis of Ligand Pharms' 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 Ligand Pharms' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ligand 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 | 46.84 | |||
| Semi Deviation | 25.34 | |||
| Standard Deviation | 103.95 | |||
| Variance | 10806.51 | |||
| Downside Variance | 1386.58 | |||
| Semi Variance | 641.97 | |||
| Expected Short fall | (99.94) |
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.
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Try AI Portfolio ArchitectCheck out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in interest. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Complementary Tools for Ligand Pink Sheet analysis
When running Ligand Pharms' price analysis, check to measure Ligand Pharms' 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 Ligand Pharms is operating at the current time. Most of Ligand Pharms' value examination focuses on studying past and present price action to predict the probability of Ligand Pharms' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ligand Pharms' price. Additionally, you may evaluate how the addition of Ligand Pharms to your portfolios can decrease your overall portfolio volatility.
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