Confluent Stock Forecast - Simple Regression

CFLT Stock  USD 26.70  0.04  0.15%   
The Simple Regression forecasted value of Confluent on the next trading day is expected to be 30.69 with a mean absolute deviation of 2.12 and the sum of the absolute errors of 129.40. Confluent Stock Forecast is based on your current time horizon.
  
At this time, Confluent's Fixed Asset Turnover is comparatively stable compared to the past year. Asset Turnover is likely to gain to 0.42 in 2025, whereas Inventory Turnover is likely to drop 3.11 in 2025. . Common Stock Shares Outstanding is likely to drop to about 298.6 M in 2025. Net Loss is likely to drop to about (427.7 M) in 2025.

Open Interest Against 2025-04-17 Confluent Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Confluent'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 Confluent's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Confluent 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 Confluent's open interest, investors have to compare it to Confluent'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 Confluent 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 Confluent. 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Confluent price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Confluent Simple Regression Price Forecast For the 23rd of January

Given 90 days horizon, the Simple Regression forecasted value of Confluent on the next trading day is expected to be 30.69 with a mean absolute deviation of 2.12, mean absolute percentage error of 6.82, and the sum of the absolute errors of 129.40.
Please note that although there have been many attempts to predict Confluent 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 Confluent's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Confluent Stock Forecast Pattern

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Confluent Forecasted Value

In the context of forecasting Confluent's Stock 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. Confluent's downside and upside margins for the forecasting period are 27.46 and 33.92, respectively. We have considered Confluent'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.
Market Value
26.70
30.69
Expected Value
33.92
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Confluent stock data series using in forecasting. Note that when a statistical model is used to represent Confluent 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 Criteria120.0303
BiasArithmetic mean of the errors None
MADMean absolute deviation2.1213
MAPEMean absolute percentage error0.0765
SAESum of the absolute errors129.3979
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Confluent historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Confluent

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Confluent. 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
23.5426.7730.00
Details
Intrinsic
Valuation
LowRealHigh
24.0330.0733.30
Details
34 Analysts
Consensus
LowTargetHigh
30.0733.0536.68
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.060.060.08
Details

Other Forecasting Options for Confluent

For every potential investor in Confluent, whether a beginner or expert, Confluent's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Confluent Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Confluent. Basic forecasting techniques help filter out the noise by identifying Confluent's price trends.

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

Confluent Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Confluent'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 Confluent's current price.

Confluent Market Strength Events

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

Confluent Risk Indicators

The analysis of Confluent'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 Confluent's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting confluent 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.
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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Confluent Stock Analysis

When running Confluent's price analysis, check to measure Confluent'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 Confluent is operating at the current time. Most of Confluent's value examination focuses on studying past and present price action to predict the probability of Confluent's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Confluent's price. Additionally, you may evaluate how the addition of Confluent to your portfolios can decrease your overall portfolio volatility.