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Stock Fcsts |
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| この情報はストアのものより古い可能性がございます。 | ||||
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価格 | 1800円 | ダウンロード |
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|---|---|---|---|---|
| ｼﾞｬﾝﾙ | ファイナンス | |||
サイズ | 43.9MB | |||
| 開発者 | Theodore Modis | |||
| 順位 |
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| ﾘﾘｰｽ日 | 2013-12-12 17:00:00 | 評価 | 評価が取得できませんでした。 | |
| 互換性 | iOS 11.0以降が必要です。 iPhone、iPad および iPod touch 対応。 | |||
“A really fascinating and extremely useful application”
Professor Calie Pistorius, Vice-Chancellor
University of Hull, United Kingdom
This is a powerful and user-friendly program capable of making price forecasts with improved accuracy further into the future. Its uniqueness is a science-based approach that treats stocks like species and the stock market as an ecosystem. It provides a lateral point of view, much like an independent second opinion on a serious-illness diagnosis.
The program does not offer pushbutton solutions. Every user will not necessarily obtain the same answer, and some users will perform better than others. However, everyone will improve with time. As with a quality musical instrument: the more you practice, the better the results.
There are many techniques to forecast the short-term future of stock prices (moving averages, the momentum method, point-&-figure charts, etc.), but none that attempt to understand the longer-term future of stocks. Here we offer such a method by exploiting the law of natural growth in competition, otherwise known as Darwinian competition or simply survival of the fittest.
Originally developed to study the evolution of species populations the approach involves the S-shaped pattern (S-Curve) followed by a rabbits population as it passes from the very first pair of rabbits on the grass range to the final maximum number of rabbits the range can feed. The approach has been extensively used for product sales in the marketplace but also for a multitude of other human endeavors; see for example, the groundbreaking book Predictions by Theodore Modis, Simon & Schuster, New York, 1992.
To use this approach in the stock market we must shift our attention away from stock prices because prices are not physical variables, they do not constitute limited resources and consequently they do not obey the law of growth in competition. Instead we must study the evolution of the share volume and dollar value exchanged. Once their evolution has been understood and forecasted their ratio will give us the stock-price forecast. A detailed discussion can be found in the book by Theodore Modis, An S-Shaped Trail to Wall Street, Growth Dynamics, Switzerland, 1998.
An entry-level version called “2Stock Fcsts” with the same functionality but capable of analyzing only two stocks of your choice sells in the App store for $0.99.
“Stock Fcsts” and “2Stock Fcsts” are stripped-down versions of the iPad applications “Stocks’ Futures” and “2Stock’s Future” respectively. They have the same functionality but they are missing among other features: the User Guide “How to master Stocks’ Futures and win at the stock market”, actual stock info, and the Save-the-results button.
更新履歴
Thanks for all your messages, who made possible to improve the App.
Improvements:
- The previous financial data provider discontinued the API that were used by our app. This made impossible to fine the ticker "Ticker not available".
- Bug fixes and performance improvements
- More accurate error definition on the forecasts
Professor Calie Pistorius, Vice-Chancellor
University of Hull, United Kingdom
This is a powerful and user-friendly program capable of making price forecasts with improved accuracy further into the future. Its uniqueness is a science-based approach that treats stocks like species and the stock market as an ecosystem. It provides a lateral point of view, much like an independent second opinion on a serious-illness diagnosis.
The program does not offer pushbutton solutions. Every user will not necessarily obtain the same answer, and some users will perform better than others. However, everyone will improve with time. As with a quality musical instrument: the more you practice, the better the results.
There are many techniques to forecast the short-term future of stock prices (moving averages, the momentum method, point-&-figure charts, etc.), but none that attempt to understand the longer-term future of stocks. Here we offer such a method by exploiting the law of natural growth in competition, otherwise known as Darwinian competition or simply survival of the fittest.
Originally developed to study the evolution of species populations the approach involves the S-shaped pattern (S-Curve) followed by a rabbits population as it passes from the very first pair of rabbits on the grass range to the final maximum number of rabbits the range can feed. The approach has been extensively used for product sales in the marketplace but also for a multitude of other human endeavors; see for example, the groundbreaking book Predictions by Theodore Modis, Simon & Schuster, New York, 1992.
To use this approach in the stock market we must shift our attention away from stock prices because prices are not physical variables, they do not constitute limited resources and consequently they do not obey the law of growth in competition. Instead we must study the evolution of the share volume and dollar value exchanged. Once their evolution has been understood and forecasted their ratio will give us the stock-price forecast. A detailed discussion can be found in the book by Theodore Modis, An S-Shaped Trail to Wall Street, Growth Dynamics, Switzerland, 1998.
An entry-level version called “2Stock Fcsts” with the same functionality but capable of analyzing only two stocks of your choice sells in the App store for $0.99.
“Stock Fcsts” and “2Stock Fcsts” are stripped-down versions of the iPad applications “Stocks’ Futures” and “2Stock’s Future” respectively. They have the same functionality but they are missing among other features: the User Guide “How to master Stocks’ Futures and win at the stock market”, actual stock info, and the Save-the-results button.
更新履歴
Thanks for all your messages, who made possible to improve the App.
Improvements:
- The previous financial data provider discontinued the API that were used by our app. This made impossible to fine the ticker "Ticker not available".
- Bug fixes and performance improvements
- More accurate error definition on the forecasts
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