User:Cleveranalyst/sandbox

MyAiTrend (MAT) 有形地图 Methodology

The MyAiTrend  (MAT) 有形地图 Methodology is a technical indicator used to predict the price movement of a stock.  It is intended to chart the future strength and weakness of a stock based on obtaining and calculating a stock price observation Oe value and a stock price prediction Pe value and then predicting actionable indicators.

The MAT is classified as a momentum indicator/oscillator, similar to RSI and MACD, but utilizes a proprietary methodology along with leading edge technology such as Artificial Neural Networks, Artificial Intelligence, Machine Learning and Big Data to generate actionable indicators. 

The MAT provides an optimal entry and exit signal on all the stocks and markets it covers for the investor to analyze.  It also provides the current and future trends of the stock in an easy to read chart.  Instead of an investor trying to figure out when a stock is oversold or overbrought, the changes in the strength, direction, momentum, and duration of a trend in a stock's price.  MAT will clearly provide an up and down actionable indicator along with a background color identifying the stock’s current and future trends.

Definition of MyAiTrend (MAT) 有形地图 Methodology

The  MAT Methodology is linked heavily to harvesting metaphors, based on growth stages and historical studies which encapsulate market characteristic, trend movements and the use of Artificial Intelligence for predictive analysis with a unique way of looking at stocks that is unavailable anywhere else in the industry.  

Breaking down MyAiTrend (MAT) Methodology

Calculation

The MyAiTrend Methodology (MAT) 有形地图 is calculated using the following formula:

Y=a+bX

Where x is the date, y is the stock price, n is the number of days, a is the intercept value, b is the trend classification value, Y is the predicted stock price, and X is the predicted date.

Calculating the maximum error prediction value:

L_∞(E)=max   _e→E|Oe-Pe|²

The minimum error prediction is calculated as: L_∞(E)=max   _e→E|Oe-Pe|² Where Oe is the Oe value of the stock price observation, Pe is the Pe value of the stock price prediction, L_∞(E) is the error prediction value, max is the maximum, and min is the minimum.

Harvesting Metaphors

MAT stock trend forecasting method utilizes multi-sets of data which includes date, stock price, and volume, and the stock predicted Pe value includes a trend classification value and an intercept value, and the trend formation, these include rising, accelerating, falling, and accelerating declines and harvesting metaphors: establishment, germination, tillering, head development, flowering/grand growth period, yield formation, ripening and harvest.

Development Stages of MyAiTrend (MAT) 有形地图 Methodology

Stage 1

• MyAiTrend employ market data such as the Open, High, Low, Close and Volume from exchanges and third party market data providers

Stage 2

• MyAiTrend use a proprietary model called Observation Example (Oe) to learn the various trends; this includes forecasting market moves, backtesting, mitigate the impact of trend breakdown and etc.

Stage 3

• MyAiTrend gets the trend results from Oe and applies a Predictive Example (Pe), this involves autonomous real-time artificial learning and to adopt current market behavior and trends

Results

• The outcome and/or actionable indicators

The MyAiTrend (MAT) 有形地图 Indicators

Optimal Entry Point, Exit Point and Trend Indicators

MAT Indicator 3 Month period

MAT map out the trends in three different color schemas: Green – Up Trend, Yellow – Sideway and Red – Down Trend. Follow the indicators for the optimal entry and exit points. For example if you want to look for an entry point, look for stocks that have the up arrow and a sideway trend, this indicates the stock is “likely” to gain momentum and a rise in price. The optimal entry point is when you see the Up Arrow and optimal exit point is when you see the Down Arrow. The arrows and color backdrop shades shows you the overall trend of the stock and the “likely” direction it is heading.

The MAT indicator is presented on a graph.  The indicators shows the optimal entry and exit points illustrated by the up and down arrow.  The optimal entry points are: 8/14/2018 and 10/11/2018 and the optimal exit points are 8/03/2018 and 9/18/2018.

Interpretation

The signal to act is when there is an up arrow (optimal entry point) and down arrow (optimal exit point).  The background shades illustrates the trend state of the stock: Green – Up Trend, Yellow – Sideway and Red – Down Trend. Follow the  indicators for the optimal entry and exit points.

See also

• MACD moving average convergence/divergence
• RSI relative strength index
• Ultimate Oscillator
• Williams %R

References

1. Deng, S.; Sakurai, A. (2013-03-01). "Foreign Exchange Trading Rules Using a Single Technical Indicator from Multiple Timeframes". 2013 27th International Conference on Advanced Information Networking and Applications Workshops: 207–212. doi:10.1109/WAINA.2013.7.
2. Appel, Gerald (2005). Technical Analysis Power Tools for Active Investors. Financial Times Prentice Hall. ISBN 0-13-147902-4.
3. 国内首个AI领先趋势技术指标: 有形地图官方网站. 有形地图-国内首个AI领先趋势技术指标，专注为市场提供一种有策略思维的趋势技术指标,指导用户进行趋势和区间分析，更好提升用户的操盘能力和分析思维。
4. 有形地图- 知乎. https://www.zhihu.com/people/youxingditu/answers/topic/19559424 有形地图股票技术指标-1分钟判断股票趋势（公众号“有形地图”）. 高新科技. 查看详细资料. ​ 关注 ​ 发私信. 动态 · 回答0 · 提问0 · 文章198 · 专栏0 · 想法0. 更多 ...