Two Tube Trading

#1749

PO Short @ 1.2729 has triggered.

#1760

EURUSD, M1, 2012 Mai 18

Exit @ 1.2729

Profit: + 5 Pips

EURUSD, M1, 2012 Mai 18

Short @ 1.2738

#1763

Exit @ 1.2728

Profit: +10 Pips

#1761, #1749

EURUSD, M1, 2012 Mai 18

Exit @ 1.2714

Profit: + 15 Pips

nice day friend!

EURUSD, M30, 2012 Mai 18

Short @ 1.2780 (DR2), Target @ 1.2698 (DPV)

yeah, i'm doing this one too. need to suffer from DD for a while, but confidently.

Hi, Cube, this is amazing. your 1763, 1764 posts.

but i don't understand why.

there is not divergence, and the CCI is going up, why would you choose short here?

have a nice weekend.

#1769

EURUSD, M1, 2012 Mai 18

Hi charvo!
Thank you!
#1763
(1) The market price has reached the pivotal point.
(EURUSD run a little higher over the PP often and then you could bet on a retracement).
(2) You could also read a divergence.
(3) I'd monitored also the M5/M15 candles when I've make this trade.
Kindest regards
FXcube

#1768

(#1658)
Weekly entry orders could go -200 - -500 pips in the counterpart direction. Often I hedge at smaller time frames a little bit then. The rest is MM. I take the weekly order with maximum 2/10 orders on an average. If the price will go in the right direction I take a trailing stop and jack up 1/10 at every next retracement a time.
See also #1659, please.
FXcube

Monitor List

USDDKK, Monthly, Weekly, Daily, H4 (Short)
USDTWD, Monthly, Weekly, (Range 28.30 - 33.50), ST H4, STT (M15?, M30?, H1?)

MetaTrader 4 Strategy Tester Tutorial

To get the most out of your expert advisor, you'll need to optimize and backtest your strategy using MetaTrader's Strategy Tester. While forward testing on a demo account is essential, backtesting allows you to simulate trading over a long period of time in just minutes. And with the optimization feature, you can find out which settings performed best over a selected historical chart period.
There is considerable debate over the accuracy of MetaTrader's strategy tester. At best, backtesting offers only a close approximation of how trades would be executed in real-time. But it's the only tool available to rapidly test any strategy over a wide range of trading situations, and one that you should learn how to use well.
Open the Strategy Tester in MetaTrader by clicking the appropriate button on the toolbar or by selecting Strategy Tester from the View menu.

History Center
Before backtesting or optimizing, it's important to make sure that your history data is complete and accurate, especially if you're using 'Every tick' as your testing model. If you see 'mismatched chart' errors in your Journal log or if your modeling quality is less than 90%, your history data is insufficient to generate accurate ticks.
Open the History Center from the Tools menu or by pressing F2 on your keyboard. Double click the chart pair in the left column that you plan to backtest for. A list of time periods will appear below. Start by double clicking on 1 Minute (M1) to load the history data for that period. The backtester uses M1 data to generate ticks, so it is important that your M1 data is complete.

http://www.easyexpertforex.com/history-center.jpg

From the History Center, you can download or import data to use in backtesting. Your broker will automatically provide some recent data, but it may not be enough for a longer backtest. In addition, the free downloadable data from MetaTrader (accessible via the Download button) is not always complete, and can contain large gaps.
You can download free M1 data from http://www.forextester.com/data/datasources.html. First, select the M1 period for the symbol from the list on the left-hand side. Click the Import button, and then click Browse in the Import dialog to select the M1 data file you just downloaded. Press OK to import the data -- it may take several minutes. You now have several years of M1 data for that symbol.
To make use of this data on higher timeframes, you'll need to use the period_converter script that comes with MetaTrader. Open a chart window and set it to M1. Drag and drop the period_converter script from the Navigator window onto the chart, and set the ExtPeriodMultiplier setting to the number of minutes to convert to. For M15, use 15; for H1, use 60; for H4, use 240, and so on.
Repeat this process for all of the symbols/periods you plan to test on. Once you have sufficient history data, you can begin testing. The video below demonstrates the process of importing and converting the M1 data:

Optimization
The optimization feature of MetaTrader 4 allows you to test thousands of combinations of expert advisor settings to find the most profitable settings for the selected chart, period and date range. Indicator-based strategies will need to be optimized for maximum profitability. However, almost all EAs will benefit from optimization - even those that trade on tick data, provided you have complete M1 history data (see above).
While the optimizer will return the most profitable settings for the selected date range, this is no guarantee that these settings will be profitable in the future. Market conditions change often, so it is important to regularly re-optimize your expert advisor for best results.

http://www.easyexpertforex.com/strategy-tester.jpg

To optimize your expert advisor, first select it from the Expert Advisor drop-down box. Select the currency pair from the Symbol box and chart period from the Period box. For Model, you'll generally want to select "Open Prices Only," unless you are optimizing an EA that runs on tick data. In that case, select "Every Tick." Check the Use Date option and select a range of dates to optimize for. Lastly, make sure that Optimization is checked.
Click the Expert Properties button to open your expert advisor settings. Under the Inputs tab is where you'll enter the range of values to optimize for. The Start column will be the lowest value for a given setting, while the Stop column will be the highest. The Step column is the amount that the optimizer will "step through" from the Start to the Stop setting.

http://www.easyexpertforex.com/expert-settings.jpg

In the image above we are optimizing SL, TS and TP settings for an expert advisor. The Start value is 20, the Step is 20, and the Stop is 200. The optimizer will test every combination of values from 20, 40, 60 and so on up to 200. Use a start, step and stop value that is appropriate for the setting you are optimizing. Even values (5, 10, etc.) are good.
The checkbox to the far left must be selected for that setting to be optimized. Any settings that aren't checked will use the number in the Value column when optimizing. Under the Testing tab, you can adjust the Initial Deposit to something a bit more realistic. Leave the other settings at their defaults.
When you're ready to begin optimizing, hit the Start button at the bottom right of the Strategy Tester window. Depending on the period, the date range, the testing model and the number of settings to be optimized it can take anywhere from a few minutes to several hours. If it's taking too long, consider shortening the date range, optimizing fewer settings, or using a larger step value.

http://www.easyexpertforex.com/optimization-results.jpg

Once the optimization is finished, open the Optimization Results tab and double-click the Profit column to sort the results. Double-click any of the results to load it into the tester. Hit the Start button again to backtest with the selected settings.

Backtesting
By now, it should be obvious how the backtester works. Select your Expert Advisor, Symbol, Period and Model, check the Use Date box and select a date range. Select Visual Mode only if you want a visual walkthrough of the backtesting. Leave Optimization unchecked.
Hit the Expert Properties button and enter your settings in the Value column under the Inputs tab. You can also load or save settings using the buttons in the bottom right. The Start, Step and Stop columns are ignored, as are the checkboxes.
Close the Expert Properties dialog and press Start to begin testing. It will take anywhere from a few seconds to several minutes depending on your settings. Once testing has finished, open the Report tab on the bottom to see your results.

http://www.easyexpertforex.com/results.jpg

A few statistics to take note of:

 

1. Total net profit - The Gross profit minus the Gross loss.
2. Profit factor - The ratio of gross profit to gross loss. Higher is better, anything above 1.5 is good.
3. Absolute drawdown - The drawdown of your initial deposit. High drawdowns increase the likelihood that your account will be blown out.
4. Profit trades - Your overall win percentage.
5. Modeling quality - Only important if your testing model is Every Tick. If so, this should be at 90%. If not, follow the instructions above to update your history with accurate M1 data.

The Results tab at the bottom of the strategy tester will give you the details on opened and closed orders, including trailing stop, take profit and stop loss. Click the Open Chart button to get a visual representation of your results. When testing your new EA, examine these closely to ensure that your strategy is working as intended.

Walk Forward Analysis
While backtesting and optimization can give you a good idea of how your EA will trade, you will need to do more extensive testing to ensure that your trading system is truly profitable. The best way to achieve this is by a process called walk-forward analysis.
Walk forward analysis simply consists of multiple cycles of optimization and backtesting, and analysing the results of testing over a long period. Our article on walk forward analysis explains the process in more detail. Our Walk Forward Analyzer for MetaTrader allows you to perform WFA quickly and easily.

http://www.easyexpertforex.com/backt...imization.html

http://strategytester.com/@/metaquotes.gif

Testing of Trading Strategies in MetaTrader 4

http://strategytester.com/@/metatrader_small_logo.gif

Your Expert Advisor has been written. It is at this point that a very important stage begins: the expert must be debugged and optimized for the market to earn profits.

Testing on historical data is an essential prerequisite for a profitable automated trading system to be created. Every trader knows that manual testing of the Expert Advisor is a quite labour-intensive and long process. This is why many traders use special software tools for testing.

A visual strategy tester is now embedded in the MetaTrader 4 Client Terminal along with the MQL4 programming language. Testing and optimization of experts is not a challenge anymore!
Our first strategy tester appeared in the online trading platform MetaQuotes as far back as 2002. Since then we have gained much experience: created two new online trading platforms MetaTrader 3 and MetaTrader 4, developed a brand-new strategy tester, embedded genetic optimizer and visual testing into it.


Advantages of Strategy Tester in MetaTrader 4:

 

1. Flexible test settings
   Any optimizable parameter of the expert - balance, profit factor, maximal drawdown - and any timeframe (if historical data is available) can be tested.
2. Reports about testing results
   For better and quicker analysis of experts' test and optimization results, different kinds of reports are embedded in the strategy tester. The graphic display of test results demonstrates balance changes during expert testing. It is always possible to analyze each specific trade separately, if necessary.
   Besides, a combined report is generated after each test. It includes a mass of statistical data about testing parameters and trading activities of the expert. Any desired parameters, starting with the quality of the modeled history and finishing with the expected profit in the next trade (mathematical expectation), can be found there.
   The possibility to monitor tester work by logs from journal is provided, as well.
3. Visualization of strategy testing
   Visualization allows monitoring of the expert testing process. One can see directly in the chart how the automated trading system trades. All this makes it possible to implement advanced standards in testing of Expert Advisors and to analyze the expert's behavior more precisely.
4. Use of genetic algorithms in testing
   The idea of genetic algorithms was borrowed from animate nature and consists in artificial construction of the evolutionary process. The ultimate goal of this process is to find optimal solution for a complicated problem. Genetic algorithms enable quick and effective search of a huge amount of combinations during expert optimization. Use of genetic algorithms saves optimization time for automated trading systems by hundreds or even thousands of t imes.
5. Different modes of bars modeling
   For testing to be precise, tick data is required. But it is often impossible to get tick-by-tick history for a sequence of years. Traders, as a rule, have only one-minute data available. This is why there are three modes of bars modeling available in the strategy tester.
   The choice of the bars modeling mode essentially influences the adequacy of the expert test and optimization results. Thus, one can quickly test the expert using the fastest mode of modeling on historical data. However, the testing error can be rather significant. At every-tick modeling, in fact, the large amount of data to be processed takes much more time. But the results will be more precise and reliable.

All the above advantages of the visual strategy tester enable the trader to optimize his or her automated trading strategy to meet market requirements.
Benefit from the visual strategy tester and maximize your profits. No matter whether you are going to automate your trading system or not, it must be tested and optimized!

http://strategytester.com/

http://articles.mql4.com/tester

// Pip Point Function
double PipPoint(string Currency)
{
int CalcDigits = Market Info(Currency, MODE_Digits);
if(CalcDigits == 2 || CalcDigits == 3) double CalcPoint = 0.01;
else if(CalcDigits == 4 || CalcDigits == 5) CalcPoint = 0.0001;
return(CalcPoint);
}

// Fractional pip quotes when trading on a fraction pip broker with 3 decimal places for Yen pairs and 5 decimal places for all other pairs.
// The PipPoint function will always return 0.01 or 0.0001, regardless of whether or not the broker uses fractional pips.
// PipPoint will always return the point value that is equal to one pip.

double UsePoint = PipPoint(Symbol());

//Example:
double UsePoint = PipPoint(EURUSD);
//Result is 0.0001
double UsePoint = PipPoint(USDJPY);
//Resuolt is 0.01

/* This function could be used to find the single pip point value.
The "Point" variable won't work correctly on fractional pip brokers. It's recommended to use then the "PipPoint function".*/

Monitor List
EURAUD, Weekly, Daily, H4
GBPJPY, Daily, H4
GBPHKD, Daily, H4, H1

Pattern Recognition
GBPAUD, H1, H4, Daily, CCI with ADX & wellxAMA, EMA50

GBPAUD, H1, 2012 Mai 20
Template, see attachment, please.

AUDCAD, Weekly, 2012 Mai 20
AUDCAD, Monthly, 2012 Mai 20

Long @ 1.0000/1.0050, SL 0.9910 (or hedge at H1/H4)