Backtesting is a kind of a strategy test performed on the past data. It can be either automated or manual. For automated backtesting, a special software should be coded. Automated testing is more precise but requires a fully mechanical trading system to test. Manual testing is slow and can be rather inaccurate, but requires no extra programming and can be done without any special preparation process. Any backtesting results should be taken with a grain of salt as the tested strategy might have been created to fit particular backetsting historical data.
When it comes to price patterns, the most important concepts include ones such as support and resistance. Put simply, these terms represent the tendency of a market to bounce back from previous lows and highs. Support is the market's tendency to rise from a previously established low. Resistance is the market's tendency to fall from a previously established high. This occurs because market participants tend to judge subsequent prices against recent highs and lows.
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This strategy is employed by forex traders as a long-term plan to make the trades profitable. The indicator mainly uses the ‘Pullback’ and the ‘Trend’, both of which are fundamental in nature. In order to have a complete understanding as to how this strategy works, traders must be familiar with the more fundamental concept called ‘the trend’. It is very difficult to explain each individual price change and determine a pattern as there will be many of them. Traders need to look at the bigger picture in order to see trends. The three key Fibonacci numbers that traders should always remember are 0.382, 0.5, and 0.618. They should also keep in mind 0.764 and 0.236.
To what extent fundamentals are used varies from trader to trader. At the same time, the best FX strategies invariably utilize action. This is also known as technical analysis. When it comes to technical currency trading strategies, there are two main styles: trend following, and counter-trend trading. Both of these FX trading strategies try to profit by recognising and exploiting price patterns.