PDF view Twitter Signaler ↑
|
|
For your attention new article about money management for expert advisors. We
have described three money management systems. Read more on our blog.
We also have developed expert advisor for linking your Twitter
account to your MetaTrader platform such that all opens and closes are
automatically posted to your Twitter account with the information you
want to publicize.
More information about Expert Advisor "Twitter Signaler"
Twitter Signaler
This Expert Advisor can post all your orders with SL and TP from
MT to your Twitter account with delay about 1 sec. (you can increase
delay) , you also can post profit with with a given frequency ( 1 time
per week for example).
1) Open file run.bat with any text editor
2) In the first line type your real Twitter username and password instead of "UserName" and "Password" accordingly
3) Aplly changes and close the file
4) Double click on run.bat and follow the instructions.
5) Visit the link for autorization of application(this link will
be also created in file auth_link.txt). By following the link you will
get the pin provided by twitter.
6) Enter pin from twitter to the application. You will get 2
files(not zero sized!) in the current directory:
twitterClient_token_key.txt and twitterClient_token_secret.txt. Copy
them to the "experts\files" folder of your's Metatrader terminal.
7) Copy libcurl.dll to the System32 library
7) Copy post_to_twitter.dll to the "experts\libraries" folder of your's Metatrader terminal.
8) Copy TwitterSignalizer.mq4 to the "experts" folder of your's Metatrader terminal.
9) Put the expert TwitterSignalizer to any chart.
TimeIntervalForStatusUpdate =10 - variable stores time in seconds for order events checking and twitter status update.
|
When you want to post information about profit from your MT4 account:
DayToTwittProfit=5;
HourToTwittProfit=18;
MinuteToTwittProfit=00;
Download Expert Advisor "Twitter Signaler"
Best regards,
BJF Trading Group inc.
|
|
|
Highly Active Manual FX Trading Strategy
This strategy based on a mixture of two styles of
trading: forex scalping, trend following short-term strategy. You
can use it for any currency. Timeframe M15.
1.Used indicators
1. Hurst Exponent Divergence
2. Bollinger Bands Divergence
3. Standard Deviation
2. Theory
2.1. Standard deviation (stdDev Indicator - standard MetaTrader 4 Indicator)
Standard deviation is a widely used measurement of variability or
diversity used in statistics and probability theory. It shows how much
variation or "dispersion" there is from
the average (mean, or expected value). A low standard deviation
indicates that the data points tend to be very close to the mean,
whereas high standard deviation indicates
that the data are spread out over a large range of values.
Technically, the standard deviation of a statistical population, data
set, or probability distribution is the square root of its variance. It
is algebraically simpler though practically
less robust than the average absolute deviation. A useful property of
standard deviation is that, unlike variance, it is expressed in the
same units as the data.
In addition to expressing the variability of a population, standard
deviation is commonly used to measure confidence in statistical
conclusions. For example, the margin of error
in polling data is determined by calculating the expected standard
deviation in the results if the same poll were to be conducted multiple
times. The reported margin of error is
typically about twice the standard deviation – the radius of a 95
percent confidence interval. In science, researchers commonly report
the standard deviation of experimental
data, and only effects that fall far outside the range of standard
deviation are considered statistically significant – normal
random error or variation in the measurements is in
this way distinguished from causal variation. Standard deviation is
also important in finance, where the standard deviation on the rate of
return on an investment is a measure
of the volatility of the investment.
From Wikipedia
2.2. Hurst Exponent (Hurst Exponent Divergence Indicator from BJF Trading Group inc. )
In fractal geometry, the generalized Hurst exponent,
named H in honor of both Harold Edwin Hurst (1880–1978) and
Ludwig Otto Hölder (1859–1937) by Benoît Mandelbrot
(1924-2010), is referred to as the "index of dependence," and is the
relative tendency of a time series either to regress strongly to the
mean or to cluster in a direction.
H was originally developed in hydrology for the practical matter
of determining optimum dam sizing for the Nile River’s volatile
rain and drought conditions that had been
observed over a long period of time. The Hurst exponent is
non-deterministic in that it expresses what is actually observed
in nature; it is not calculated so much as it is
estimated.
The Hurst exponent is used as a measure of the long term memory of time
series, i.e. the autocorrelation of the time series. Where a value of 0
< H < 0.5 indicates a time series
with negative autocorrelation (e.g. a decrease between values will
probably be followed by an increase), and a value of 0.5 < H
< 1 indicates a time series with positive
autocorrelation (e.g. an increase between values will probably be
followed by another increase). A value of H=0.5 indicates a true random
walk, where it is equally likely that a
decrease or an increase will follow from any particular value (e.g. the time series has no memory of previous values)
Information about Hurst Divergence Indicator
Learn more....
|
