Example Strategy

Example Strategy

Consider a trader who is focused on long positions only and prefers a lower-risk strategy (note these tools can be used for all assets; we are using an undisclosed asset as an example). Using the Strategy Builder, they could:

• Disable short conditions.

• Set long entry rules to trigger when both the ChartPrime oscillator and Quantum Reactor indicators show bullish signals.

• Enable layered entries to improve average entry prices by adding to positions during market dips.

• Run a backtest over a two-year period to see historical performance trends, making adjustments as needed.

The backtest will show where entries and exits would have occurred and how layered entries may have impacted profitability.

Below is a live demo on how to design and build a powerful strategy:

Iterative Design

Strategy builders and creating a strategy is often an iterative process. By experimenting and using logic, a trader can arrive at a more sustainable system. Analyzing the shortcomings of your strategy and iteratively designing and filtering them out is the goal. For example, let’s say a strategy has high drawdown: a user would want to tighten stop losses to reduce this and find a balance point between optimizing winning trades and reducing the drawdown. When designing a strategy there are generally tradeoffs and optimizing while taking into consideration a wide range of factors is key. This also applies to filtering techniques, entries and exits and every variable in the strategy.

If a strategy is taking too many long positions in a downtrend, filtering these using built-in trend-following tools can be a great approach; refining with logic is also effective.

The Strategy Builder also takes into consideration those who seek to automate, especially via reinvesting and leverage features.

The ChartPrime Strategy Builder aims to help traders build clear, rule-based strategies without excessive complexity. As with all backtesting tools, it's crucial to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting.

This tool offers a structured way to test strategies against various market conditions, helping traders refine their approaches with data-driven insights. Traders should also ensure they enter the correct fees when designing strategies and ensure usage on standard candle types.