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Michael Alekseev
Michael Alekseev

How to Use AmiBroker 4.80.2 and AmiQuote for Technical Analysis


How to Use AmiBroker 4.80.2 and AmiQuote for Technical Analysis




If you are looking for a powerful and user-friendly software for technical analysis, charting and portfolio management, you might want to check out AmiBroker 4.80.2. This software allows you to categorize symbols into different markets, groups, sectors, industries and watch lists, and perform ultra-quick full-text search to find the symbols you need[^2^]. You can also customize your own indicators, systems and backtesting/optimization criteria using the AFL language[^2^].


AmiBroker 4.80.2 AmiQuote Serial Key keygen


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But how do you get the data for your analysis? That's where AmiQuote comes in handy. AmiQuote is a fast and efficient quote downloader program that works with AmiBroker 4.80.2. It allows you to benefit from free quotes available on the Internet from various sources, such as Yahoo Finance, Google Finance, MSN Money and more[^3^]. You can download historical and intraday quotes for stocks, indices, mutual funds, futures, options and forex[^3^]. You can also import your own data from CSV files or other formats[^3^].


To use AmiBroker 4.80.2 and AmiQuote together, you need to have a valid serial key and keygen for both programs. A serial key is a unique code that identifies your license and allows you to activate the software. A keygen is a program that generates valid serial keys for you. You can find these serial keys and keygens online from various sources, such as [^1^]. However, be careful when downloading these files, as they may contain viruses or malware that can harm your computer.


Once you have the serial keys and keygens for AmiBroker 4.80.2 and AmiQuote, you can install them on your computer following the instructions provided by the software vendors. After installation, you can launch AmiBroker 4.80.2 and AmiQuote from your desktop or start menu. You will be prompted to enter your serial key for each program. Enter the serial key that matches your program version and click OK. If the serial key is valid, you will see a confirmation message and be able to use the software without any limitations.


Now you are ready to use AmiBroker 4.80.2 and AmiQuote for your technical analysis needs. You can download quotes from various sources using AmiQuote and import them into AmiBroker 4.80.2 using the File > Import Wizard menu option[^3^]. You can then use AmiBroker 4.80.2 to analyze the data using its powerful features, such as charts, indicators, systems, backtesting, optimization, scanning, exploration and more[^2^]. You can also export your results to various formats, such as HTML, RTF, CSV or Excel[^2^].


AmiBroker 4.80.2 and AmiQuote are two great tools for technical analysis that can help you make better trading decisions based on data and logic. If you want to learn more about these programs, you can visit their official websites at [^2^] and [^3^], or check out their online documentation and user forums.


In this section, we will show you how to use AmiBroker 4.80.2 and AmiQuote to download and analyze the historical quotes of Apple Inc. (AAPL), one of the most popular stocks in the market. We will use Yahoo Finance as our data source, as it provides free and reliable data for many symbols.


First, we need to launch AmiQuote and select Yahoo Historical as our data source from the drop-down menu. Then, we need to enter the symbol AAPL in the Symbol box and click Add. We can also specify the date range and frequency of the data we want to download. For this example, we will use daily data from January 1, 2020 to December 31, 2020. After entering the parameters, we can click Start to begin the download process. AmiQuote will show us the progress and status of the download in the lower panel.


Once the download is complete, we can close AmiQuote and open AmiBroker 4.80.2. We need to create a new database for our data by clicking File > New > Database. We can name our database AAPL and choose a folder to store it. We also need to select Metastock as our data source type and click Create. AmiBroker 4.80.2 will create a new database for us and open it.


Next, we need to import the data we downloaded from AmiQuote into our database. We can do this by clicking File > Import Wizard. We need to select the folder where we saved our data from AmiQuote and click Next. AmiBroker 4.80.2 will automatically detect the format and fields of our data and show us a preview. We can click Next again and then Finish to complete the import process.


Now we have our data ready for analysis in AmiBroker 4.80.2. We can view the chart of AAPL by double-clicking on its symbol in the Symbols window on the left panel. We can also apply various indicators, systems and tools to our chart by using the menus and toolbars on the top panel. For example, we can add a moving average indicator by clicking Analysis > Indicators > Moving Average and choosing the parameters we want.


We can also perform backtesting and optimization on our data using AmiBroker 4.80.2's powerful features. Backtesting allows us to test how a trading system would perform on historical data, while optimization allows us to find the best parameters for a trading system that maximize its performance. To perform backtesting and optimization, we need to have a trading system defined in AFL code, which is AmiBroker 4.80.2's scripting language.


For this example, we will use a simple trading system that buys AAPL when its price crosses above its 50-day moving average and sells when it crosses below it. We can write this system in AFL code using the Formula Editor by clicking Analysis > Formula Editor. Here is the code for our system:


```


Buy = Cross(Close, MA(Close, 50));


Sell = Cross(MA(Close, 50), Close);


```


We can save this code as a file named MA_Cross.afl in our Formulas folder under our database folder.


To backtest this system, we need to click Analysis > Backtest and select MA_Cross.afl as our formula file. We also need to select AAPL as our symbol filter and specify the date range and trade settings we want to use for our backtest. For example, we can use 100 shares per trade and $10 commission per trade as our trade settings.


After setting up our backtest parameters, we can click Backtest to run the backtest and see the results in the Report window on the right panel. The Report window will show us various statistics and metrics that measure the performance of our system, such as net profit, annual return, maximum drawdown, number of trades, win rate and more.


To optimize this system, we need to click Analysis > Optimize and select MA_Cross.afl as our formula file again. We also need to select AAPL as our symbol filter and specify the date range and trade settings we want to use for our optimization.


The difference between backtesting and optimization is that optimization allows us to vary one or more parameters of our system and see how they affect its performance. For example, we can vary the length of the moving average from 10 to 100 days with a step of 0efd9a6b88


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