Story of crisis

The Story of a crisis

April 26, 2010 was three years old my trade in the financial markets. April 26, 2007, in just before the start of the crisis, I opened my first brokerage account.

The idea of ​​trading on the stock exchange came to me from the outside. I worked quietly at his job, moved the science forward in exchange for a fixed salary. As far as I can remember, I always had the thought that this salary is very small (remember, in 2001, she was a hundred bucks a month. As much as I earn in one day, drove the passengers on the plane at Domodedovo-oh, there were times …) . I have been thinking about your own auto business, but about trading the financial markets, ever. The turning point was my sister’s birthday in March 2007. She has worked in the management company and told me many interesting things about the markets. So I decided to poizuchat question.

I remember, the first of what I prifigel, the daily trading volume. Millions and billions of dollars of money passing from the pocket into the pocket for a day for a person earning $ 400 a month, that’s impressive. Somehow there is the idea that the funds should be sought wherever they are-that is, in the financial markets, but not in science. And my decision was made, to try his hand. Inherent in adolescence excessive self-confidence, as well as scientific snobbery (the logic of the “scientist is capable of anything” -By the way, this is far from the truth) told me that everything is simple-cut down dough Wait Quick. Scientific education is warned, it is not so simple. I remember that for me were wildly unusual bars and candlestick charts-science are not used. Poizuchat historical quotes it soon became clear that the market is largely accidental.

To combat this accident, after some thought, I decided to come up with a set of rules-based system, in which the trade. The first thing I did, Fourier analysis of price series (I even noticed that the first thing that comes to mind when discussing the topics learned historical quotes. I was not exception :)). Fourier analysis showed that it is useless, no statistically significant I have not found. Then I began to study literature. I do not remember how, but I came across a book by Bill Williams, the first-which he describes how the volume and MFI. I liked the author’s approach, I read another of his book, Trading Chaos, like it too, even despite all the nonsense that he writes about the nonlinear stochastic systems and their application to the markets (especially touched by, remember, about megakompyutery who thought thought and finally counted the correct parameters for moving averages alligator). Poizuchat Trading Chaos, as well as having worked with the Williams system alligator fractal, the AO and AC I decided that I was ready to rock and roll.


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Morgan Stanley is waiting for rebound on pounds

Morgan Stanley is waiting for a rebound on the pounds to sell

Pound / dollar (GBP / USD) tested the 200-day moving average at $ 1.6665, which suggests a correction to the recent sharp decline, analysts say Morgan Stanley. Nevertheless, the bank looking for strengthening of the dollar in the coming sessions, so traders Bank will use any rebound to $ 1.6750, to restore a bearish stance with a view to $ 1.6260 with a stop at $ 1.6850. GBP / USD is now trading at $ 1.6696.

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How will financial Week

How will the financial Week?

market, special attention should be paid to the
copper. The annual moving average of
this metal consumption in China
record grew. Rise in price of copper will
continue, especially if you remember,
China – the main consumer of copper
in the world. At the same time the world’s reserves of this
It was significantly reduced, reaching
minimum for the last 6 years.

The price of oil
restored: is a correction
rollback. Brent has not yet reached
mark of 103.45, but surely this
seeks. Markets are preparing to raise
demand for “black gold”, but so far it
not much impact on oil prices.

In the currency
today await the end of the symposium
in Jackson Hole, which will perform chapter
two of the largest global regulators:
Janet Yellen, and Mario Draghi. rather
likely, the Fed chief will speak quite
aggressively. USD / JPY will
continue to rise and the dollar will continue to

continued fever: EUR / USD
I went down to the lows more than
year-old prescription, and speech
Yellen has every chance to leave a mark

In Britain yesterday
published data on retail
Sales in Britain. These data are, frankly
speaking, are rather weak. No hurry for
move to tighten monetary
is not politics, today’s speech
Yellen will be the last test for
the pair GBP / USD, which is now
It is trading at about 1.66.

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Reversal Trading

Reversal Trading

EA trades based MACD patterns and certain points and perekuplennosti pereprodannosti.

Advisor works only on EURUSD pair to M15 timeframe.

The system is improved by more than 10-year history (2005-2016).


  • Easy to use and has no complicated settings
  • not martingale
  • not mesh
  • not scalping
  • Optimized for the pair EURUSD


Conditions of Buy and Sell – Terms for Buy and Sell:

  • Fast EMA – a period of rapid EMA MACD indicator
  • SLow EMA – during the slow EMA MACD indicator
  • MACD SMA – period SMA signal indicator MACD
  • Exit point – period moving average
  • Start Trading hour – time of the start of trading, the hour
  • Stop Trading hour – during the Trade Deadline, Hour

Trade management – Management of commercial operations:

  • Start LotSize – initial lot size (minimum lot size permitted by your broker)
  • Distance – The spread for EURUSD from your broker
  • Slippage – Slippage in pips

Reversal Trading

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Draws range indicator channel (High-Low) 5 intermediate levels based on the Fibonacci (38.2, 23.6, 50, 61.8).

Input parameters of the indicator:

  • periods: the number of bars for the calculation channel.
  • showupper: True / False ( “True” to display the prices of the highest peak, “False” to hide).
  • showlower: True / False ( “True” to display the price of the lowest minimum, “False” to hide).
  • showfirst: True / False ( “True” to display the prices of Level 1, “False” to hide).
  • showsecond: True / False ( “True” to display the prices Level 2, “False” to hide).
  • showthird: True / False ( “True” to display the prices of the third level, “False” to hide).
  • showfourth: True / False ( “True” to display the prices of the 4th level, “False” to hide).
  • showfifth: True / False ( “True” to display the prices of level 5, “False” to hide).
  • ColorUpper: Color display price the highest high.
  • pricewidthUpper: The display size of the price of the highest peak.
  • ColorLower: Color display price of the lowest minimum.
  • pricewidthLower: The display size of the price of the lowest minimum.
  • ColorSecond: Color display price level 2.
  • pricewidthSecond: The display size of the price level 2.
  • ColorThird: Color display prices third level.
  • pricewidthThird: The display size of the price of the 3rd level.
  • ColorFourth: Color display prices level 4.
  • pricewidthFourth: The display size of the price of the 4th level.
  • ColorFifth: Color display price level 5.
  • pricewidthFifth: The display size of the price level 5.
  • ma: method of calculation of moving averages (simple, exponential, smoothed, linear weighted).
  • calculation: calculation mode.
    • Range: The channel is calculated using the highest highs and the lowest lows.
    • StDev: Channel calculated using the standard deviation.

You can adjust the line (color, style, width).

0 Red 1. 0
1. Red 1. 0
2 PaleTurquoise 1. 0
3 DarkGray 1. 0
4 DarkOrchid 1. 0
5 Chocolate 1. 0
6 Turquoise 1. 0
7 Blue 1. 0

In the above table shows the default settings that you can configure.


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ALRMA trend indicator for MT4

ALRMA trend indicator for MT4

ALRMA – linear regression coefficient indicator.

Input parameters

  • Period LRMA – the number of bars to calculate the indicator;
  • Price calculate LRMA – the price used to calculate the indicator;
  • Period signal moving average – the number of bars for the calculation of the signal line;
  • Method signal moving average – method of calculation of the signal line.

This indicator was created to as closely as possible to determine the direction of price movement. With it is possible to quickly and accurately identify a given time interval value and strength of the trend.

Linear regression is a statistical tool used to predict future prices based on past data. Least squares method is used to construct the “most appropriate” straight line passing through a series of values ​​of price points.

As the basis of the indicator taken coefficient of linear regression equation. This indicator is a good use for automated trading.

ALRMA trend indicator for MT4

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Standard Alligator Indicator (Engl. Alligator) is calculated on the basis of the smoothed moving average (SMMA) and the median price (MEDIAN).

This modification makes it possible to calculate the indicator, based on any combination of the 4 basic price: Close, Open, High and Low, with a choice of one of six averaging methods: Simple (SMA), exponential (EMA), smoothed (SMMA), linear-weighted (LWMA) double exponential (DEMA), triple exponential (TEMA).

Input parameters:

  • Jaws period – the period of the jaws Alligator;
  • Jaws shift – shift jaws Alligator;
  • Teeth period – the period Alligator teeth;
  • Teeth shift – Alligator shift teeth;
  • Lips period – the period of the lips Alligator;
  • Lips shift – shift Alligator lips;
  • Moving average mode – averaging method: a simple (Simple, SMA), the exponential (Exponential, EMA), smoothed (Smoothed, SMMA), linear-weighted (Linear Weighted, LWMA), double exponential (Double Exponential, DEMA) or triple exponential average (Triple Exponential, TEMA);
  • Close – CLOSE weighted price index to calculate individual prices;
  • Open – weighting OPEN prices to calculate individual prices;
  • High – weighted price index HIGH to calculate individual prices;
  • Low – LOW price weighting coefficient for the calculation of individual price.

Example 1. Calculate the price indicator for OPEN: Close = 0, Open = 1, High = 0, Low = 0.
Example 2. Calculate the price indicator WEIGHTED: Close = 2, Open = 0, High = 1, Low = 1.
Example 3. Calculate indicator on individual pricing constant: Close = 6, Open = 7, High = 1, Low = 3. Price = (6 * Close + 7 * Open + 1 * High + 3 * Low) / 17. 


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