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Stochastic Oscillator

George C. Lane developed the Stochastic Oscillator in the late 1950s.
It’s a technical indicator which compares a stock's closing price to its price range over a given period of time. The belief is that in rising market stocks will close near their highs, while in a falling market they will close near their lows.
The Stochastic Oscillator contains four variables:

1) %K Periods: This is the number of time periods used in the stochastic calculation.
2) %K Slowing Periods: This value controls the internal smoothing of %K. A value of 1 is considered a fast stochastic while a value of 3 is considered a slow stochastic.
3) %D Periods: This is the number of time periods used when calculating the moving average of %K.
4) %D Method: The method (Exponential, Simple, Time Series, Triangular, Variable, or Weighted) used to calculate %D
Signals for buying & selling:
- The signals of buying given when oscillator (either %K or %D) falls below the line, and then again crosses the bottom level upwards or when the curve %K crosses the curve %D from below upward.
- The signals of selling when oscillator grows above the line, and then crosses the top level downwards or when the curve %K crosses a curve %D from top to downward.




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Bulls Power

Bulls Power oscillator developed by Alexander Elder & it based on estimation of bulls Power balance since changes in this balance initially signalize about possible trend reversal.
There is always a war between the bears (Pushing prices down) & bulls (Pushing prices up) that depend on the demand& supply in the market & at end of each day there is a result of this war (high or low prices) so during the day it’s very important to be able to estimate the reverse of the line chart.
If trend indicator is down-directed and the Bulls Power index is below zero, but falling, it is a signal to sell.

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Implemented data transfer and processing protocols are notable for their economy. It makes it possible to support several thousands of traders through a single server with the following configuration: Pentium 4 2 GHz, 512 DDR RAM, 80 GB HDD. Using recent protocols decreases the requirements of the data link and their execution cost.

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The system is designed on a multicurrency basis. It means that Variable currencies could be exchanged where any currency could be considered as general currency in the whole complex online trading operation in all the countries with the nationa.

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Moving averages are one of the most popular, easy & used indicator in technical analysis & also it can be used as an overbought / oversold indicator.
The term "Moving" refers to the method of calculation which takes the average value over a fixed period of time and adds the latest period data to the calculation of the average while dropping the first period of the calculation so that the average continues to be calculated by the same number of periods but moves with each new period of data that occurs.
A 14 day moving average represents the trend in prices over a period of 14 days. A longer 50 day moving average is smoothed more than a 14 day moving average with each new day's data making less impact on the calculation of the moving average value than a shorter term moving average such as the 14 day moving average.
In Moving average, if price is above the moving average it indicate bullish behavior. While when the prices are below the moving average it is an indication of bearish behavior in relation to the trend length being viewed.
The signal of moving average is to buy when the securities price moves above its moving average and to sell when the price moves below its moving average.
Types of moving averages on the chart:
- Simple Moving Average (SMA)
- Exponential Moving Average (EMA)
- Smoothed Moving Average (SMMA)
- Linear Weighted Moving Average (LWMA)



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