In the last tutorial we explored Kalman filter and how to build kalman filter using pykalman python library. In this section we will be dealing with python com server to integrate Amibroker + Python to compute Kalman Filter and Unscented Kalman Filter Mean Estimation and plot the same in Amibroker.
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 Trading System Design using Amibroker one step better then this course is for you.
Open = High and Open = Low is a widely used scanner across the day traders community. Here is the Amibroker exploration code which looks for stocks with matching open and high lows and matching open = low values. This scanner is built in such a way that it works even on lower timeframes (1min, 5min, 15min etc).
Here is the first prototype from Marketcalls which demonstrates multi-timeframe based trading system which compares two timeframes (5min and hourly in this case) and takes a trade decision based on both the timeframes. To demonstrate with simple example we used supertrend on 5min timeframe and Hull RSI on the hourly timeframe to filter unwanted trading signals.
Here is a simple & short instructional video on how to use symbol link feature in Amibroker so that multi timeframe trader can take advantage of it. If we want to sync multiple chart windows we can use Symbol Link feature especially for different timeframes or with same timeframe with different indicators. Once multiple windows have the same “Symbol Link” color selected, browsing through the results list in Analysis automatically will automatically sync all linked chart windows (e.g. for the purpose of showing different intervals in each of the charts).
NimbleDataPro2 is the new and improved data manager from Globaldatafeeds exchange authorized data vendor for NSE Cash, NSE FFO, MCX and NSE CDS segments. Nimbledatapro2 is completely re-written NimbleDataPro with advanced features like tick charts, even faster backfills, automated trial & licensing, support for 32 / 64bit AmiBroker
Hull ROAR indicator helps in identifying the fastest raising shares and filters it out of the fastest rising shares. Hull ROAR is the brainchild of Alan Hull (author of active investing). ROAR stands for Rate of Annual Return. The rate of annual return is calculated by taking the annual increase in price activity and dividing by the current share price. The result is multiplied by 100 to convert it to a percentage.