People are not taught to buy when the markets going down, its counter intuitive to what they have been told. Name me one trading book which tells people to buy into heavy selling? Cant think of one? Me neither.
Busted Breakouts – a highly profitable Forex trading strategy
No one knows, all I know is through history when markets have crashed no matter how big they are or how many people they affected they always manage to recover. The market high just before the crash occurred on 30th September , and the low of the crash was seen on march the 1st Now I remember when this happened all of the news after the market made the low was still negative, people were saying how the market was still going to lower even though it never did!
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Had you brought stock in the DOW JONES index any time after the market crashed right now you would be sitting on a big profit, even if you brought at the last high made before the crash happened you would still be in profit now. Search google for the flash crash that occurred back in , look at the huge drop that took place that day then look at where the market closed on the same day.
Conclusion
This is an entirely valid concern, no one knows when the markets will stop falling, which is why you need to trade crashes by buying things which you own. In other words you buy 1 share of the FTSE or Dow Jones, by doing this you bypass the analysis needed to understand which business are likely to survive the crash.
Although opportunities to make money from large financial crashes are rare, when they do occur there is a lot of money to be made for the savvy investor. Why do you think markets always recover from crashes? Because smart investors always recognize value.
Bad money management can make a potentially profitable strategy unprofitable. Trading strategies are based on fundamental or technical analysis , or both. They are usually verified by backtesting, where the process should follow the scientific method , and by forward testing a. The term trading strategy can in brief be used by any fixed plan of trading a financial instrument, but the general use of the term is within computer assisted trading, where a trading strategy is implemented as computer program for automated trading.
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Technical strategies can be broadly divided into the mean-reversion and momentum groups. All these trading strategies are speculative. In the moral context speculative activities are considered negatively and to be avoided by each individual. The development and application of a trading strategy preferably follows eight steps: [7] 1 Formulation, 2 Specification in computer-testable form, 3 Preliminary testing, 4 Optimization, 5 Evaluation of performance and robustness, [8] 6 Trading of the strategy, 7 Monitoring of trading performance, 8 Refinement and evolution.
Usually the performance of a trading strategy is measured on the risk-adjusted basis. Probably the best-known risk-adjusted performance measure is the Sharpe ratio.
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However, in practice one usually compares the expected return against the volatility of returns or the maximum drawdown. Normally, higher expected return implies higher volatility and drawdown. The choice of the risk-reward trade-off strongly depends on trader's risk preferences. Often the performance is measured against a benchmark, the most common one is an Exchange-traded fund on a stock index.
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In the long term a strategy that acts according to Kelly criterion beats any other strategy. However, Kelly's approach was heavily criticized by Paul Samuelson. A trading strategy can be executed by a trader Discretionary Trading or automated Automated Trading. Discretionary Trading requires a great deal of skill and discipline. It is tempting for the trader to deviate from the strategy, which usually reduces its performance.