Figma, Etf Forecast - 8 Period Moving Average
| FIG Etf | USD 38.69 0.57 1.45% |
The 8 Period Moving Average forecasted value of Figma, Inc on the next trading day is expected to be 38.04 with a mean absolute deviation of 3.90 and the sum of the absolute errors of 206.88. Figma, Etf Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Figma,'s historical fundamentals, such as revenue growth or operating cash flow patterns.
Open Interest Against 2026-03-20 Figma, Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Figma,'s spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Figma,'s options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Figma, stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Figma,'s open interest, investors have to compare it to Figma,'s spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Figma, is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Figma,. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Figma, 8 Period Moving Average Price Forecast For the 12th of December 2025
Given 90 days horizon, the 8 Period Moving Average forecasted value of Figma, Inc on the next trading day is expected to be 38.04 with a mean absolute deviation of 3.90, mean absolute percentage error of 23.97, and the sum of the absolute errors of 206.88.Please note that although there have been many attempts to predict Figma, Etf 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 Figma,'s next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Figma, Etf Forecast Pattern
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Figma, Forecasted Value
In the context of forecasting Figma,'s Etf 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. Figma,'s downside and upside margins for the forecasting period are 33.75 and 42.33, respectively. We have considered Figma,'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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Figma, etf data series using in forecasting. Note that when a statistical model is used to represent Figma, etf, 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 | 106.5844 |
| Bias | Arithmetic mean of the errors | 1.4641 |
| MAD | Mean absolute deviation | 3.9033 |
| MAPE | Mean absolute percentage error | 0.0805 |
| SAE | Sum of the absolute errors | 206.8763 |
Predictive Modules for Figma,
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Figma, Inc. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Other Forecasting Options for Figma,
For every potential investor in Figma,, whether a beginner or expert, Figma,'s price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Figma, Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Figma,. Basic forecasting techniques help filter out the noise by identifying Figma,'s price trends.Figma, 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 Figma, etf to make a market-neutral strategy. Peer analysis of Figma, could also be used in its relative valuation, which is a method of valuing Figma, by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Figma, Inc Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Figma,'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 Figma,'s current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Figma, Market Strength Events
Market strength indicators help investors to evaluate how Figma, etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Figma, shares will generate the highest return on investment. By undertsting and applying Figma, etf market strength indicators, traders can identify Figma, Inc entry and exit signals to maximize returns.
| Accumulation Distribution | 107747.0 | |||
| Daily Balance Of Power | (0.52) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 38.36 | |||
| Day Typical Price | 38.47 | |||
| Price Action Indicator | 0.04 | |||
| Period Momentum Indicator | (0.57) |
Figma, Risk Indicators
The analysis of Figma,'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 Figma,'s investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting figma, etf 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 | 3.29 | |||
| Standard Deviation | 4.44 | |||
| Variance | 19.71 |
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
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Other Information on Investing in Figma, Etf
Figma, financial ratios help investors to determine whether Figma, Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Figma, with respect to the benefits of owning Figma, security.