Alnylam Pharmaceuticals Stock Forecast - Naive Prediction

ALNY Stock  USD 250.98  6.09  2.49%   
The Naive Prediction forecasted value of Alnylam Pharmaceuticals on the next trading day is expected to be 246.55 with a mean absolute deviation of 6.23 and the sum of the absolute errors of 379.99. Alnylam Stock Forecast is based on your current time horizon.
  
At this time, Alnylam Pharmaceuticals' Inventory Turnover is fairly stable compared to the past year. Payables Turnover is likely to rise to 5.87 in 2024, whereas Receivables Turnover is likely to drop 5.30 in 2024. . Common Stock Shares Outstanding is likely to drop to about 70.4 M in 2024. Net Loss is likely to rise to about (967.1 M) in 2024.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Alnylam Pharmaceuticals' financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2002-12-31
Previous Quarter
968.5 M
Current Value
1.1 B
Quarterly Volatility
379.3 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Alnylam Pharmaceuticals is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Alnylam Pharmaceuticals value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Alnylam Pharmaceuticals Naive Prediction Price Forecast For the 26th of November

Given 90 days horizon, the Naive Prediction forecasted value of Alnylam Pharmaceuticals on the next trading day is expected to be 246.55 with a mean absolute deviation of 6.23, mean absolute percentage error of 58.88, and the sum of the absolute errors of 379.99.
Please note that although there have been many attempts to predict Alnylam 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 Alnylam Pharmaceuticals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alnylam Pharmaceuticals Stock Forecast Pattern

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Alnylam Pharmaceuticals Forecasted Value

In the context of forecasting Alnylam Pharmaceuticals' 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. Alnylam Pharmaceuticals' downside and upside margins for the forecasting period are 244.13 and 248.97, respectively. We have considered Alnylam Pharmaceuticals' 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
250.98
244.13
Downside
246.55
Expected Value
248.97
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Alnylam Pharmaceuticals stock data series using in forecasting. Note that when a statistical model is used to represent Alnylam Pharmaceuticals 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 Criteria122.1861
BiasArithmetic mean of the errors None
MADMean absolute deviation6.2293
MAPEMean absolute percentage error0.0234
SAESum of the absolute errors379.9873
This model is not at all useful as a medium-long range forecasting tool of Alnylam Pharmaceuticals. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Alnylam Pharmaceuticals. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Alnylam Pharmaceuticals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alnylam Pharmaceuticals. 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
241.64244.06246.48
Details
Intrinsic
Valuation
LowRealHigh
201.66204.08269.38
Details
Bollinger
Band Projection (param)
LowMiddleHigh
221.38253.02284.65
Details
31 Analysts
Consensus
LowTargetHigh
208.74229.39254.62
Details

Other Forecasting Options for Alnylam Pharmaceuticals

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

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 Risk & Return  Correlation

Alnylam Pharmaceuticals 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 Alnylam Pharmaceuticals' 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 Alnylam Pharmaceuticals' current price.

Alnylam Pharmaceuticals Market Strength Events

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

Alnylam Pharmaceuticals Risk Indicators

The analysis of Alnylam Pharmaceuticals' 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 Alnylam Pharmaceuticals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alnylam 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.

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Additional Tools for Alnylam Stock Analysis

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