Fast Retailing Pink Sheet Forecast - Accumulation Distribution
| FRCOY Stock | USD 27.11 0.08 0.29% |
Fast Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Fast Retailing stock prices and determine the direction of Fast Retailing Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Fast Retailing's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Fast Retailing to cross-verify your projections. Fast |
Most investors in Fast Retailing cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Fast Retailing's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Fast Retailing's price structures and extracts relationships that further increase the generated results' accuracy.
The accumulation distribution (A/D) indicator shows the degree to which Fast Retailing is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Fast Retailing Co to determine if accumulation or reduction is taking place in the market. This value is adjusted by Fast Retailing trading volume to give more weight to distributions with higher volume over lower volume.| Previous Accumulation Distribution | Accumulation Distribution | Trend |
| 105.12 | 707.21 |
| Check Fast Retailing Volatility | Backtest Fast Retailing | Trend Details |
Fast Retailing Trading Date Momentum
| On March 04 2024 Fast Retailing Co was traded for 29.42 at the closing time. The highest daily price throughout the period was 29.59 and the lowest price was 28.84 . The daily volume was 12.2 K. The net trading volume on 03/04/2024 added to the next day price reduction. The overall trading delta to closing price of the next trading day was 1.01% . The overall trading delta to current closing price is 0.54% . |
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
| Compare Fast Retailing to competition |
Other Forecasting Options for Fast Retailing
For every potential investor in Fast, whether a beginner or expert, Fast Retailing's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fast Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fast. Basic forecasting techniques help filter out the noise by identifying Fast Retailing's price trends.Fast Retailing 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 Fast Retailing pink sheet to make a market-neutral strategy. Peer analysis of Fast Retailing could also be used in its relative valuation, which is a method of valuing Fast Retailing by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Fast Retailing Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Fast Retailing'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 Fast Retailing's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Fast Retailing Market Strength Events
Market strength indicators help investors to evaluate how Fast Retailing pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fast Retailing shares will generate the highest return on investment. By undertsting and applying Fast Retailing pink sheet market strength indicators, traders can identify Fast Retailing Co entry and exit signals to maximize returns.
Fast Retailing Risk Indicators
The analysis of Fast Retailing'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 Fast Retailing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fast pink sheet 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 | 1.39 | |||
| Semi Deviation | 1.61 | |||
| Standard Deviation | 1.79 | |||
| Variance | 3.21 | |||
| Downside Variance | 2.91 | |||
| Semi Variance | 2.6 | |||
| Expected Short fall | (1.64) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Fast Retailing in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Fast Retailing's short interest history, or implied volatility extrapolated from Fast Retailing options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Fast Retailing to cross-verify your projections. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary Tools for Fast Pink Sheet analysis
When running Fast Retailing's price analysis, check to measure Fast Retailing'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 Fast Retailing is operating at the current time. Most of Fast Retailing's value examination focuses on studying past and present price action to predict the probability of Fast Retailing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fast Retailing's price. Additionally, you may evaluate how the addition of Fast Retailing to your portfolios can decrease your overall portfolio volatility.
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