| Pros | Cons | |------|------| | Adapts to volatility (like TTM Wave, CCI) | Parameter-sensitive (Period, ATR, Multiplier) | | Works across asset classes (stocks, futures, crypto) | Not a standalone system — needs confluence | | Simple zero-line logic easy to backtest | Can whipsaw in choppy markets | | Fewer false breakouts than raw momentum | Requires AmiBroker AFL coding knowledge |

The manual way to check for "Brokey" data is to open the (Symbols -> Edit). Scroll through your data. Do you see dates missing? Do you see 0 or Null values in the Volume column? This is tedious for one stock and impossible for a database of 2,000 symbols.

Integrate the necessary Brokey functions into your AFL code to enable automated trading.

While users often encounter it when browsing their installation directory, it is a core system component rather than a standalone trading strategy or public-facing plugin like OpenAlgo or AlgaMojo . 1. Functional Context

// Simple Brokey-like check: flags bars with non-positive or NaN close bad = (Close <= 0) OR IsNull(Close); if (LastValue(Sum(bad, BarCount)) > 0)

AmiBroker allows you to draw lines directly on a chart and assign them specific , which can then be referenced by an AFL formula to generate signals. For instance, you can draw a resistance line and assign it the ID "UP" and a support line with the ID "DN" . Your AFL code can then detect when the price action interacts with these lines, such as when a price closes above a resistance line, triggering an alert .

Handles license unlocking, feature enablement, and operational authorization. Absolute; removal triggers fatal startup errors.

Identifying levels is only the first step. The real value is using them as triggers for a complete strategy.