Struggling to make profitable algo trading strategies

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Struggling to make profitable algo trading strategiesStruggling To Make Profitable Algo Trading Strategies?

You didn't set out to lose money when trading, but lots of small mistakes along the way meant that your strategy performance in backtests didn't pan out when you went live.

I've been involved in algorithmic trading for over five years and in that time I've seen some big trading mistakes.

After a lot of trial and error . I eventually discovered that hard work, discipline and a scientific approach are the key to profitability with quantitative trading.

In Successful Algorithmic Trading I'll teach you a process to identify profitable strategies from the outset, backtest them, reduce your transaction costs and efficiently execute your trades in a fully automated manner.

No matter how far along you are in your quantitative trading career, you can apply these ideas to make a profitable algorithmic trading business .

200+ pages of algorithmic trading techniques

How to implement an end-to-end equities backtester with Python libraries

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Creating profitable trading strategies is hard. Really hard.

Despite all these benefits I wouldn’t want you to get the wrong idea and think developing an algorithmic trading system is easy. Nothing could be further from the truth. There is no path to easy riches with algo trading.

However, if you break down the problem . into small easy-to-handle constituent parts and make consistent progress on improving your system every day it can eventually become very successful .

At the beginning it is a struggle to make money consistently with trading.

Now I've built up the habit of creating a strategy pipeline which constantly provides me with new trading strategy ideas with which to test. It doesn't matter if a strategy begins to perform poorly because I have plenty more to choose from - and so will you.

Slow consistent progress on research, testing and execution is the key to achieving algorithmic trading profitability.

Make a commitment to work hard on your strategy components, with a disciplined approach, and you will see success much sooner than you expect.

What if you're not an expert at algorithmic trading?

Actually, neither was I when I first started! I didn't know market orders from limit orders, the buy-side from sell-side or what a stop loss was! But I have practised over the last five years and have learned a huge amount about algorithmic trading in the process.

It is well within your capability to learn what I know about quant finance and trading. I'm certainly not the top of my field, but I have been involved in the development of profitable trading strategies and am extremely keen to show you how to do the same.

I imagine that there is a topic you know a great deal about and I bet there are many who know less about the area than you do. Being an expert comes through practice . discipline and hard work. So does forming a consistent set of profitable algorithmic trading strategies.

Every successful person I know in algorithmic trading started before they knew much about the markets.

Use the fact that you aren't yet comfortable with algorithmic trading to push yourself harder and learn to become an expert.

About the Author

So who’s behind this?

Hi! My name is Mike Halls-Moore and I'm the guy behind QuantStart and the 'Successful Algorithmic Trading' package.

Since working as a quantitative trading developer in a hedge fund I have been passionate about quantitative trading and running my own portfolio.

I started the QuantStart community and wrote 'Successful Algorithmic Trading' as a means to help others learn from my mistakes and take their quantitative trading to the next level.