A trading strategy is a process used to enter and exit market positions based on quantified signals of when to buy and sell. A trading strategy will include a plan that demonstrates the trader's method of determining profit targets, risk tolerance, and trading timeframes. A successful strategy should have an advantage shown in the way trading is executed and managed to maximize profits and minimize losses.

Building a complete head-to-tail trading strategy requires several steps in the process:

  • Create ideas for possible strategies.
  • The idea of entry and exit to make a profit.
  • Study a chart pattern to see how trading will play out.
  • Backtest through software.
  • Optimization of signal parameters.
  • Evaluate winrate, risk: reward ratio, maximum drawdown, and profit.
  • Forward test through real trading.
  • Observe trade real performance.
  • Make any necessary adjustments to the trading parameters and position sizing.
  • Focus on any improvements that can be made to quantitatively reduce losses and increase profits.
  • Consider whether your strategy matches your risk appetite, screen time, stress level, and profitability goals.

First, a trader needs to choose the type of method they want to use to make money:

  • Scalper
  • Day trader
  • Swing trader
  • Trend trader
  • Position trader

In which markets will the strategy trade? There are many options, from stocks, ETFs, options, futures to cryptocurrencies.

Would you like to be a discretionary trader or a mechanical trader or a mix of both? All strategies have a degree of discretion built up from setting, selecting watch lists, and choosing risk parameters.

A trading strategy has 3 main processes, they are the process of determining entry, exit, and sizing positions.

The entry signal causes a trader to enter a trade when the odds of winning the trade are greatest. Whether it is a momentum-based entry signal because the ratio is inclined to a breakout going on the path with least resistance, or a buy signal when the price is down because the ratio is inclined to oversell which is likely to cause the price to bounce, then both setups will have a higher probability of getting a winning trade.

Exit signal has two main purposes, one is to keep the loss minimal, and the other is to take profit when the price goes according to the forecast. A stop-loss keeps loss low when the odds tilt to a losing trade and a trailing stop signals that it is time to close a winning trade when the trend begins to reverse.

Position sizing is based on the maximum amount the trader wants to lose if their stop loss is triggered. Nor should a position be so large that a trader will have trouble following their trading strategy because of the emotional or ego influences due to the pressure of the trading size.

Studying historical charts can allow you to see the nature of trends, price ranges, and volatility on charts over time. Quantifying price action repetitive patterns can help you learn how to use reaction engineering analysis to structure your entry and exit points for big wins, small wins, or small losses to make the most profit. in the long term on your trading timeframe.

Backtesting software is a shortcut to see how trading signals will perform over time. You can set entry and exit parameters into the client to instantly see how the trading strategy has performed in history. You can quickly discard strategies that have not worked in the past and look for cues that give you an edge.

When backtesting, you can optimize signals that work effectively by making some small adjustments to best navigate volatility on the chart. You need to find both the drawdown and maximum return worthwhile with the risk and timing of strategic trading.

A basic backtest would include:

  • The chart is selected for the backtest.
  • Entry signal.
  • Exit signal.
  • Winrate.
  • Average win and loss size.
  • Maximum drawdown level.
  • Profit.

It is important to understand where the advantage comes from in a strategy, whether it comes from a high win rate and keeps a small loss or from a small number of wins but a much larger scale than the losing trade?

There are important considerations to consider when trying to optimize a trading strategy as follows:

  • All adjustments to the optimization of the strategy need to be quantified with backtest parameters.
  • New adjustments optimized for signaling or position sizing must be backtested on full historical data across a variety of market environments.
  • The second backtest on optimized parameters requires a data sample size large enough to produce statistically significant results, should not be tested on selected market environments to improve performance in past.
  • Keep adjustments simple, with little change to parameters and variables to avoid making your trading strategy too cumbersome.
  • Keeping two sets of data to use for backtesting will keep you from being fooled by randomness. The backtesting in the sample data, optimization, and then the forward test will help to show what really works so you can improve the results.

Trading real on a backtested system will give traders a more complete understanding of the effort, discipline, stress, and screening time required to deploy it on the live market with real risk capital. An ideal trading strategy would allow a trader to feel comfortable doing, whether he loses or wins, as they already know the win/loss ratio as well as the expected drawdown. Traders need confidence in their strategy and self-confidence in order to implement it consistently over time.

Many times, a trader will readjust the position size and risk level of a strategy in real-time as they understand how it can function in different market environments.


Successful trading is the long-term development of a trader and a trading strategy to optimize what works best for them. The best trading strategy is one that you can consistently follow with minimal stress and maximum profit. Professional trading will make you feel like you are running a serious business, not going to a casino to gamble with your desired amount!

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