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Fractal Essential Timing System

Based on Chaos Theory. This system will give you a good direction to struggle in stock market. Although we used different approach, different parameters and different indicators, but this system returns a great result without leaving the basic of Chaos Theory.

This system can reduce the entry and exit signals which produced by Profitunity Expert Advisor (TM) and choose only the best signals, and stay in touch with cycle and/or impulse of the stock market.

This system can also giving a good hints when you applying CANSLIM method by producing clear signals (Buy Point) and 8% stop Loss completely. TIPS: You can calculate 7% stop loss manually, but make sure you count it from the low price, not from closing price.

This system also allows you to make some exit and re - entry decision by using Chande and Kroll Volatility Stop.

The important rule you must obey is: this is a Trend Following System/Timing System, it is highly recommended for you to analyzed the fundamental factor first before making some investment decision by using this technical approach. After all you can choose whether daily or weekly time frame to analyzed those God damned time series in front of you.

 


Press the button to get direction to our storage so you can download the package,
this package is absolutely free of charge.


Although the author believe the information, data and contents presented are accurate, they neither guarantee their accuracy completeness nor assume any liability. It should not be assumed that the methods, techniques or indicators presented in this package will be profitable or that they will not result in losses. Trading involves the risk of loss as well as profit. Past performance is not guarantee of future results.



stockHome Package

RSI 50/70.
This is a simple implementation of Welles Wilder's indicator, buy when the RSI crosses the centerline and sell when it reaches 70. The premise behind this system is when the price goes up then the RSI will oscillate between 50 and 70. Best work on blue chips stock.


The disadvantage of this system is: this is not a trend following system; therefore this system cannot detect the market trends perfectly. Because of this problem it sometimes given a negative profit although the Winning Ratio reaches above 60 percent. To solving this problem we can use another trend following system as a trend confirmation e.g. Tushar Chande's system, Elliott Wave analysis etc to avoid non profitable trades. Equity curve strategy, profit target and stop loss system also useful to increase the performance.

 

Directional RSI.
This is another implementation of Welles Wilder's indicators, this system collaborates Directional Movement System and Relative Strength Index. It produces excellent Winning Ratio for past 20 years on US market and 5 years on IDX market. Again...this is not a trend following system so it has a same problem and solution as RSI 50/70.


If somebody asked to us - do we use those systems all time? The answer is: these are not our primary system; these systems are only two alternate systems from more than 20 items in our trading system library. Sometimes we need to make a comparison to another system to get another perspective.
 

Fibonacci Retracements.

This is an improvement of Fibonacci formula from trader.online.pl, an automated Fibonacci Indicator.


StochRSI (Revised).

Based on Tushar Chande and Stanley Kroll's book "The New Technical Trader", this indicator has been revised as well because sometimes the original formula returns an error message: "Custom Indicators Math Errors, Division by zero: 9". This indicator can also calculate the momentum of Elliott manner.


Elliott Manner/Elliott Oscillator.
Based on AlphOmega Elliott Wave booklet this indicator provides "Elliott Manner" or sometimes called as "Elliott Engine". It also provides a better Elliott Oscillator. The manner will be excellent when it combined with zig-zag indicator.

 


Press the button to get direction to our storage so you can download the package,
this package is absolutely free of charge.

Although the author believe the information, data and contents presented are accurate, they neither guarantee their accuracy completeness nor assume any liability. It should not be assumed that the methods, techniques or indicators presented in this package will be profitable or that they will not result in losses. Trading involves the risk of loss as well as profit. Past performance is not guarantee of future results.


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The essence of quantitative investing is crunching numbers. Anything that can go into a digital computer is fair input. And since computers are mostly digital and linear programs are rigid, “quant” analysis tends to be repetitively structured and rich in reliance on back-testing.

The central themes of quant investing are that history reveals enduring patterns of price behaviour, which can be unlocked by statistical techniques; that risk of loss is closely related to volatility, which is related to return; and that management of risk, return, covariance and time frames can be usefully predictable.

Even quantitative back-testing is intuitive “data mining” — determining what patterns exist in a finite sample of numbers. Investment strategies based on hindsight often fail.
There are essentially two ways of analyzing investments: fundamental analysis and technical analysis. With the former, investors try to calculate the value of an asset, comparing the present value of the likely future cash flows with its current price.

With the latter, they focus exclusively on the asset’s price data, asking what its past price behaviour indicates about its likely future price behaviour. Market strategists believe that history tends to repeat itself.

They make price predictions on the basis of published data, looking for patterns and correlations, assessing trends, support and resistance levels. The true objective of technical analysis is to determine whether or not the ingredients of a healthy bull market are present — and to watch out for possible warning flags before a major decline or bear strikes.
The “efficient market hypothesis” (EMH) says that at any given time, asset prices fully reflect all available information —that price movements do not follow any patterns or trends.

This means that past price movements cannot be used to predict future price movements. Rather, prices follow what is known as a “random walk,” an intrinsically unpredictable pattern.

In the world of the strong form EMH, trying to beat the market becomes a game of chance not skill.

A central challenge to the EMH is the existence of market anomalies: reliable, widely known and inexplicable patterns in returns, such as the “January effect.” In reality, markets are neither perfectly efficient nor completely inefficient.

All are efficient to a certain degree, but some more than others.
The need of institutional investors, such as pension funds, for objective information about investment managers —their people, products, processes, performance and principles —has led to the development of the institutional investment consulting industry.

Consultants can provide a useful service, often if pushed to go beyond mere support for ideas already grasped.

But they might just be needed to give credibility, especially to bodies like pension committees of boards of directors, where the staff people need more “cover.”