Alector Stock Market Value
| ALEC Stock | USD 1.96 0.14 7.69% |
| Symbol | Alector |
Will Biotechnology sector continue expanding? Could Alector diversify its offerings? Factors like these will boost the valuation of Alector. If investors know Alector will grow in the future, the company's valuation will be higher. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Alector data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.86) | Earnings Share (1.06) | Revenue Per Share | Quarterly Revenue Growth (0.79) | Return On Assets |
Investors evaluate Alector using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Alector's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Alector's market price to deviate significantly from intrinsic value.
Understanding that Alector's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Alector represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, Alector's market price signifies the transaction level at which participants voluntarily complete trades.
Alector 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Alector's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Alector.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Alector on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding Alector or generate 0.0% return on investment in Alector over 90 days. Alector is related to or competes with Nkarta, Cassava Sciences, Fate Therapeutics, PepGen, Molecular Partners, Vor Biopharma, and Corbus Pharmaceuticals. Alector, Inc., a clinical stage biopharmaceutical company, develops therapies for the treatment of neurodegeneration dis... More
Alector Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Alector's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Alector upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.17 | |||
| Information Ratio | 0.1492 | |||
| Maximum Drawdown | 18.01 | |||
| Value At Risk | (5.70) | |||
| Potential Upside | 5.63 |
Alector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alector's standard deviation. In reality, there are many statistical measures that can use Alector historical prices to predict the future Alector's volatility.| Risk Adjusted Performance | 0.148 | |||
| Jensen Alpha | 0.4955 | |||
| Total Risk Alpha | 0.239 | |||
| Sortino Ratio | 0.138 | |||
| Treynor Ratio | 0.3481 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alector's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Alector February 10, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.148 | |||
| Market Risk Adjusted Performance | 0.3581 | |||
| Mean Deviation | 2.95 | |||
| Semi Deviation | 3.25 | |||
| Downside Deviation | 4.17 | |||
| Coefficient Of Variation | 572.55 | |||
| Standard Deviation | 3.86 | |||
| Variance | 14.89 | |||
| Information Ratio | 0.1492 | |||
| Jensen Alpha | 0.4955 | |||
| Total Risk Alpha | 0.239 | |||
| Sortino Ratio | 0.138 | |||
| Treynor Ratio | 0.3481 | |||
| Maximum Drawdown | 18.01 | |||
| Value At Risk | (5.70) | |||
| Potential Upside | 5.63 | |||
| Downside Variance | 17.4 | |||
| Semi Variance | 10.58 | |||
| Expected Short fall | (3.71) | |||
| Skewness | (0.12) | |||
| Kurtosis | 1.03 |
Alector Backtested Returns
Alector appears to be very risky, given 3 months investment horizon. Alector secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18 % return per unit of standard deviation over the last 3 months. By analyzing Alector's technical indicators, you can evaluate if the expected return of 0.71% is justified by implied risk. Please makes use of Alector's mean deviation of 2.95, and Risk Adjusted Performance of 0.148 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Alector holds a performance score of 14. The firm shows a Beta (market volatility) of 1.91, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Alector will likely underperform. Please check Alector's jensen alpha, maximum drawdown, and the relationship between the coefficient of variation and sortino ratio , to make a quick decision on whether Alector's price patterns will revert.
Auto-correlation | 0.39 |
Below average predictability
Alector has below average predictability. Overlapping area represents the amount of predictability between Alector time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alector price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Alector price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Alector offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Alector's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Alector Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Alector Stock:Check out Alector Correlation, Alector Volatility and Alector Performance module to complement your research on Alector. For information on how to trade Alector Stock refer to our How to Trade Alector Stock guide.You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Alector technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.