If computers aren't your thing, then this could be a long journey for you. Make sure you backtest with an amount of capital you are actually going to use. Trading capital - The size of your starting capital can have a big impact on the profitability of the system. Be sure to include the cost of commissions when you backtest. The software will tell you what to buy, but you'll place the trade yourself with a broker of your choice. You're not looking for the system that makes you the most money on paper, you need a system you have the confidence to continue trading even during periods of drawdown or going sideways. Take note of the worst performance in the backtest, ask yourself if you could keep trading through that tough period. Some people can be more successful by applying a bit of discretion to their system, while others manage to ruin it completely. Then you're no longer following the system and the results are no longer valid. If the system says buy, but you say "No, I don't like the look of that chart". The backtested results are only relevant if you actually follow the systems rules. The confidence to actually trade the system. Know the stats - What's your average win/loss, biggest win/loss, biggest drawdown, longest loosing streak. Change the systems variables and note how it affects past performance. Thoroughly test the system over various time periods and with different groups of stocks (all ords, ASX200 etc). Whether it be your code or the turnkey system, understand what it's doing. A thorough understanding of the system (and the software). You can purchase the Amibroker code from The Chartist (in the store under turnkey systems), or you can have a go at writing the code yourself from what is discussed in the book. There are a few, but I personally use "Premium Data" and it integrates with Amibroker just fine. If you're putting you hard earned on the line I'd recommend you pay for reliable data. Data feed - You'll need end of day data on the stocks you want to trade in a format that's compatible with Amibroker. You can then backtest your system over any period of time with a range of variables to see how it would have performed. Amibroker - You could use other software, but Amibroker is reasonably priced and will allow you to write your own system code (or use someone else's). In conclusion, it was indeed a great opportunity for QuantInsti to be associated with QuantCon and contributing to the world of algorithmic trading, quantitative finance, and machine learning.If you want to trade one of these systems yourself, it's just not realistic to manually go through hundreds of stocks every day, filtering the ones that don't meet your criteria and calculating price changes to see which ones you want to buy/sell. This talk at QuantCon hopefully cleared some of the confusions and threw more light to the algorithmic trading business expansion possibilities in Asia. However, the road is full of unique obstacles - and an inside insight to the challenges and possibilities is critical. Using similar effort and expertise in Asia might generate higher profits and also provide early mover advantage to some of the new markets. Understanding this, Rajib elucidated how it has become prudent for firms that have built their expertise to look at nascent markets in Asia. The high frequency and algorithmic trading landscape in America is hugely competitive. He spoke on Algorithmic Trading Opportunities in Asia -Regulations, Technology, Competitive Landscape, Opportunities. Our director, Rajib, was one of the speakers amongst the many prestigious speakers at QuantCon. The conference featured expert workshops and talks on how one can overcome barriers to algorithmic trading, quantitative finance, and machine learning. QuantCon 2017 hosted by Quantopian in New York City from April 28 th to 30 th.
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