Here is the very simple and classical example to build a triple EMA (Exponential Moving Average Crossover system). System is quite popular if anyone (trader/investor) is a newbie to classical technical analysis. In this AFL the triple moving average buy, sell signals are coded and comes with Scanning and Exploration functionality.
Cointegration is used in Statistical Arbitrage to find best Pair of Stocks (Pair Trading) to go long in one stock and short(Competitive peers) another to generate returns. Statistical Arbitrage(StatArb) is all about mean reversion, looking for deviation in the spreads and expecting mean reversion from the spread.
You know that Amibroker is one of the best tool to create custom trading strategies, Signal Generation , Performing Technical analysis and even test/validate your trading models. At Marketcalls we use AFL Programming extensively to create Complex Custom Indicators, Trading Strategies, Trading Dashboard, Buy & Sell Signal Models. If you want to learn Amibroker and AFL Programming Language one step better then this course is for you.
Here is a small code snippet which displays the seconds left for the bar to close near to the current running candle. If you are more focused on trading at lower timeframe then this feature make more sense as a lower timeframe trader. And the code is compatible above Amibroker 5.71 onwards. It may not work with lower Amibroker versions.
Monte Carlo Analysis is a process of validating the robustness of the Trading Strategy. With Monte Carlo Analysis we can simulate set of Equity curves using random numbers from the backtest data. These large sets of simulations are then used to find the likely probability distribution of an unseen risk in trading the strategy.
we thought of proving cloud based access to the needy people who want to access trading analysis softwares like Amibroker, Metatrader, Ninjatrader, Metastock on the go. It is also possible to access any windows based trading analysis software which is not compatible with Android or IOS based mobile/tablets.
Compared to Supertrend 3.0 with the new version two interesting features has been added. One is a simple EMA filter rule is added to Buy and Short Conditions and changes in the dashboard (included target levels in Supertrend Dashboard for discrete traders). And performance of Trading system is really interesting when comes to backtesting with Nifty and Bank Nifty Futures. Recorded Webinar of Supertrend and Filters posted down below.
In this Webinar you will be learning basics of Supertrend, studying the performance of Supertrend, And how adding filters affects the supertrend performance. Session focuses more on system trading concepts, Performance Metrics with respect to Supertrend and the role of 200 day Moving Average as a filter in Supertrend Trading System.
Studying the Volume behaviour in a stock and index futures plays a critical role in studying the supply and demand behavior. What if we want to rate the volume with relative to last 50-bars. In such a scenario Normalized Volume Comes into picture. Normalized volume is a volume divided by its average.
Was just going thro QUSMA blog on Equity Returns Following Extreme VIX and William VIX FIX Movements. And couple of peoples are throwing ideas on implementing the strategy with percentile rank function. The same discussion also happening in Quantopian Community which inspired me to code the strategy for Nifty Futures