Lizhi Stock Forecast - Polynomial Regression
| LIZIDelisted Stock | USD 0.80 0.03 3.90% |
The Polynomial Regression forecasted value of Lizhi Inc on the next trading day is expected to be 0.63 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.09. Lizhi Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Lizhi's historical fundamentals, such as revenue growth or operating cash flow patterns.
Lizhi |
Lizhi Polynomial Regression Price Forecast For the 24th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Lizhi Inc on the next trading day is expected to be 0.63 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.09.Please note that although there have been many attempts to predict Lizhi 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 Lizhi's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Lizhi Stock Forecast Pattern
| Backtest Lizhi | Lizhi Price Prediction | Buy or Sell Advice |
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 Lizhi stock data series using in forecasting. Note that when a statistical model is used to represent Lizhi 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.| AIC | Akaike Information Criteria | 112.6638 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0506 |
| MAPE | Mean absolute percentage error | 0.0615 |
| SAE | Sum of the absolute errors | 3.0879 |
Predictive Modules for Lizhi
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lizhi Inc. 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.View Lizhi Related Equities
| Risk & Return | Correlation |
Lizhi Market Strength Events
Market strength indicators help investors to evaluate how Lizhi stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Lizhi shares will generate the highest return on investment. By undertsting and applying Lizhi stock market strength indicators, traders can identify Lizhi Inc entry and exit signals to maximize returns.
Lizhi Risk Indicators
The analysis of Lizhi'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 Lizhi's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lizhi stock 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 | 3.55 | |||
| Semi Deviation | 4.25 | |||
| Standard Deviation | 5.09 | |||
| Variance | 25.9 | |||
| Downside Variance | 25.45 | |||
| Semi Variance | 18.09 | |||
| Expected Short fall | (4.32) |
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.
Currently Active Assets on Macroaxis
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Other Consideration for investing in Lizhi Stock
If you are still planning to invest in Lizhi Inc check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Lizhi's history and understand the potential risks before investing.
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |