14 new topics on forum:
- BinaryOptionStrategy Analysis
- Slippage in pending order in OrderSend() function
- Chart from Date to Date ?
The trade strategy is based on three moving averages. To determine the trend, it uses three exponentially smoothed moving averages: FastEMA, MediumEMA and SlowEMA. Trade signals: Buy signal: FastEMA>MediumEMA>SlowEMA (upward trend). Sell signal: FastEMA<MediumEMA<SlowEMA (downward trend). Input parameters: Inp_Signal_ThreeEMA_FastPeriod = 8; Inp_Signal_ThreeEMA_MediumPeriod = 38; Inp_Signal_ThreeEMA_SlowPeriod = 48; Inp_Signal_ThreeEMA_StopLoss = 400; Inp_Signal_ThreeEMA_TakeProfit = 900; I
The idea of the system is to indentify the reversal patterns using the calculation of the composite candle. The reversal patterns is similar to the "Hammer" and "Hanging Man" patterns in Japanese candlestick analysis. But it uses the composite candle instead the single candle and doesn't need the small body of the composite candle to confirm the reversal. Input parameters: Range - maximal number of bars, used in the calculation of the composite candle. Minimum - minimal size
The strategy is based on price crossover with Moving Average indicator, confirmed by ADX indicator. The trade signals: Buy: closing price of the last completed bar is higher than moving average, the moving average increases at the current and last completed bars. Sell: closing price of the last completed bar is lower than moving average, the moving average decreases at the current and last completed bars. To filter the false signal, it checks the trend power (ADX>ADXmin) and trend di
The strategy is based on the Alligator technical indicator, described by Bill Williams in "Trading Chaos". The system is based on three moving averages (Lips, Teeth and Jaw lines), and oscillators, calculated using the difference between them. The trading signals are generated after crossover of the Alligator lines, depending on trend, determined by order of these lines. In the case of upward trend the Lips line (with minimal period) is the highest, the next is the Teeth line, and the
Chaikin's volatility indicator calculates the spread between the maximum and minimum prices. It judges the value of volatility basing on the amplitude between the maximum and the minimum. Unlike Average True Range , Chaikin's indicator doesn't take gaps into account. According to Chaikin's interpretation, a growth of volume indicator in a relatively short space of time means that the prices approach their minimum (like when the securities are sold in panic), while a decrease of volatilit
One of the most interesting aspects of Self-Organizing Feature Maps (Kohonen maps) is that they learn to classify data without supervision. In its basic form it produces a similarity map of input data (clustering). The SOM maps can be used for classification and visualizing of high-dimensional data. In this article we will consider several simple applications of Kohonen maps.
In this article, we continue studying the principles of working with Internet using HTTP requests and exchange of information with server. It describes new functions of the CMqlNet class, methods of sending information from forms and sending of files using POST requests as well as authorization on websites under your login using Cookies.
If an indicator uses values of many other indicators for its calculations, it consumes a lot of memory. The article describes several methods of decreasing the memory consumption when using auxiliary indicators. Saved memory allows increasing the number of simultaneously used currency pairs, indicators and strategies in the client terminal. It increases the reliability of trade portfolio. Such a simple care about technical resources of your computer can turn into money resources at your deposit.