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<p>First I back tested it. then I automated it. I then ran it in simulation mode and found out many different little things that needed to be fixed. once I did all that I start trading live and kept the journal and in an Excel file with all the results as well as all the little things that I need to pay attention to. people don't think about it but what if you only get a partial fill? what if you exit half of the position to the stops and targeted just accordingly? there's a lot of little factors that …</p>
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<p>Hire a programmer to convert the strategy into a programming language that is used for trading automation. There are programmers on freelance web sites that can be hired to help to do that. Or you can learn to program yourself which is what many people believe is productive. Notice, that in other fields, doing programming yourself is not considered a dollar productive activity if you can hire someone to do it for $200.</p>
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<p id="isPasted">Step 1: Develop a trading strategy and validate it. You can use algoseek's historical stock tick data to objectively backtest and validate your strategy. The advantages of their data is the it's survivorship bias free and provided “as is" from the exchanges. This means your results would be super-realistic.</p><p>Step 2: Develop a risk management strategy and incorporate that into your trading strategy.</p><p>Step 3: Write your algorithm and incorporate your your backtested strategy.</p><p>Step 4: Test your everything on a demo environment. Refine and fine-tune.</p><p>Step 4: If everything looks good, deploy.</p><p>I hope this helps.</p>
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<p id="isPasted">Automated trading is by far the hardest way to trade. If You think of the markets as driving a Formula 1, then autotrade is being in the cockpit without a steering wheel, brakes or accelerator, only adult size diapers.</p><p>Think about it logically:</p><p>You compete against people who stare at the screen all day long. They can intervene anytime. Your algo will not</p><p>You need to have considered all contingencies. Things will go wrong. Rather than adding complexity, special cases and all kinds of savant fragility, You need to reach the essence of simplicity</p><p>False positives: eye balling charts in …</p>
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<p>If you're not a heavy programmer but comfortable with doing some work there are some retail trading applications such as TradeStation or Fidelity Wealth Lab where you can automate a lot of strategies. Depending on the complexity, you might need to hire a developer (and worry about IP) but there are a large number of people offering services.</p>
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