Successful Algorithmic Trading + source – Quant Start

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Summary

• Archive: http://archive.is/2HqxI Struggling 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.We've been involved in algorithmic trading for over eight years and in that time we've seen some big trading mistakes.After a lot of trial and error, we eventually discovered that hard work, discipline and a scientific approach are the key to profitability with quantitative trading.In Successful Algorithmic Trading we'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.

• Buy Now200+ pages of algorithmic trading techniquesHow to implement an end-to-end equities backtester with Python librariesDownload the Table Of ContentsInstant PDF ebook download - no waiting for deliveryLifetime no-quibble 100% money back guarantee - no risk to you!Download a Sample ChapterCreating profitable trading strategies is hard.

• Really hard.Despite all these benefits we 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 we've built up the habit of creating a strategy pipeline which constantly provides us with new trading strategy ideas with which to test.

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