MoneyLion Stock Forecast - Polynomial Regression

MLDelisted Stock  USD 85.90  0.61  0.72%   
The Polynomial Regression forecasted value of MoneyLion on the next trading day is expected to be 84.87 with a mean absolute deviation of 0.54 and the sum of the absolute errors of 32.90. MoneyLion Stock Forecast is based on your current time horizon.
As of now, the value of RSI of MoneyLion's share price is approaching 46. This indicates that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling MoneyLion, making its price go up or down.

Momentum 46

 Impartial

 
Oversold
 
Overbought
The successful prediction of MoneyLion's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of MoneyLion and does not consider all of the tangible or intangible factors available from MoneyLion's fundamental data. We analyze noise-free headlines and recent hype associated with MoneyLion, which may create opportunities for some arbitrage if properly timed.
Using MoneyLion hype-based prediction, you can estimate the value of MoneyLion from the perspective of MoneyLion response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of MoneyLion on the next trading day is expected to be 84.87 with a mean absolute deviation of 0.54 and the sum of the absolute errors of 32.90.

MoneyLion after-hype prediction price

    
  USD 85.9  
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 delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
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 industry.

MoneyLion Additional Predictive Modules

Most predictive techniques to examine MoneyLion price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for MoneyLion using various technical indicators. When you analyze MoneyLion 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.
MoneyLion polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MoneyLion as well as the accuracy indicators are determined from the period prices.

MoneyLion Polynomial Regression Price Forecast For the 10th of January

Given 90 days horizon, the Polynomial Regression forecasted value of MoneyLion on the next trading day is expected to be 84.87 with a mean absolute deviation of 0.54, mean absolute percentage error of 0.42, and the sum of the absolute errors of 32.90.
Please note that although there have been many attempts to predict MoneyLion 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 MoneyLion's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MoneyLion Stock Forecast Pattern

Backtest MoneyLionMoneyLion Price PredictionBuy 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 MoneyLion stock data series using in forecasting. Note that when a statistical model is used to represent MoneyLion 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 Criteria117.2364
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5393
MAPEMean absolute percentage error0.0062
SAESum of the absolute errors32.8974
A single variable polynomial regression model attempts to put a curve through the MoneyLion historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for MoneyLion

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MoneyLion. 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
85.9085.9085.90
Details
Intrinsic
Valuation
LowRealHigh
73.3373.3394.49
Details
Bollinger
Band Projection (param)
LowMiddleHigh
84.5986.6488.68
Details

MoneyLion 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 MoneyLion stock to make a market-neutral strategy. Peer analysis of MoneyLion could also be used in its relative valuation, which is a method of valuing MoneyLion by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

MoneyLion Market Strength Events

Market strength indicators help investors to evaluate how MoneyLion stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MoneyLion shares will generate the highest return on investment. By undertsting and applying MoneyLion stock market strength indicators, traders can identify MoneyLion entry and exit signals to maximize returns.

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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 industry.
You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.

Other Consideration for investing in MoneyLion Stock

If you are still planning to invest in MoneyLion 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 MoneyLion's history and understand the potential risks before investing.
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