Here the Goal is to use Amibroker AFL to find the Percentage Number of bars which have closed higher then the previous bar out of total number of bars for a day in a selected time frame on Intraday basis. Positive Bars Percentage is generally a breath indicator used to gauge the Intraday Sentiment of a Particular stock/Index.Value above 80 indicates extreme positive sentiment and a value below 20 indicates extreme negative sentiment.
Didi Index is a positional long only trading system constructed based on three exponential moving averages inspired from mql4 code Didi Index Indicator. Indicator developed by Brazilian and analyst Odir Aguiar (Didi), consists of “Moving Averages”, known for the famous needles Didi, which allows the visualization of reversal points.
Amibroker AFL script based trading system generally consist of four trading conditions Buy(go long), Sell(Exit Long), Short(go short) and Cover(Exit Short). In todays tutorial we are going to concentrate only how to plot a Buy Signal(Generally we Up arrow is preferred) and Sell Signal(Generally Down Arrow is preferred) using Amibroker.
Linear Regression based Mean Reversion strategy is quite similar to Volatility Band – Mean Reversion Strategy. Here the Volatility band is replaced with the upper band = Linear Regression + 2 * Standard Deviation and the lower band = Linear Regression – 2 * Standard Deviation.
Triple Momentum Strategy is from Gerald Appel, introduced in his 2005 book, “Technical Analysis: Power Tools for Active Investors.” It’s included on pages 58-63 of his book. That section is headed, “The Triple Momentum Nasdaq Index Trading Model.” Gerald Appel, is also probably best known for his creation – Moving Average Convergence Divergence (MACD).
Here is a simple Amibroker AFL trick which will replace your default profit table in your Amibroker Backtest report with Colourful profit table along with CAR%, yearly Max Drawdown (maxDD%) as well as overall maxDD% as shown below. And its better version of profit table as it provide more meaningful insights.
Today, pairs trading is often conducted using algorithmic trading strategies(Rule based) on an Execution Management System. These strategies are typically built around mathematical models that define the spread based on historical data mining and analysis. The algorithm monitors for deviations in price, automatically buying and selling to capitalize on market inefficiencies. The advantage in terms of reaction time allows traders to take advantage of tighter spreads.