Creating a Trading Strategy

The Strategy Builder translates your trading ideas into executable logic through visual nodes. Let's break down how to use it.

The Anatomy of a Strategy

Every strategy requires three components to function:

1. Data Source: Where is the information coming from? (e.g., Binance 1m Candles, Live Order Book updates).
2. Logic & Indicators: What are the conditions? (e.g., Is the RSI below 30? Has the MACD crossed over?).
3. Execution: What should the bot do? (e.g., Place a Market Buy order for 50% of your capital).

Example Workflow

1. Drag an Indicator Node onto the canvas (such as RSI) and connect it to your primary price feed.
2. Drag a Logic Gate Node and set the operation to Less Than.
3. Connect the Indicator's output to Input A. Set Input B to a constant value.
4. Drag a Buy Order Node. Connect the Output of the Logic Gate to the Trigger input of the Buy Node.

Real-World Example: Order Book Imbalance Strategy

You can build powerful micro-structure algorithms using Order Book depth. For instance, to build a strategy on ETHUSDT that buys when the LAST N BUY ratio exceeds 0.7 and sells when the LAST N SELL ratio exceeds 0.7:

1. Add a Crypto Price node set to ETHUSDT (this acts as the primary data trigger).
2. Drag a LAST N BUY indicator and a LAST N SELL indicator onto the canvas.
3. Configure both indicators with a Period of 100 and a Threshold of 0.7.
4. Connect the output of the Price node to the input of both indicators.
5. Finally, connect the LAST N BUY output to a Market Buy Order node (Size: 100%), and the LAST N SELL output to a Market Sell Order node (Size: 100%).

This simple, visual flow results in an institutional-grade Order Book imbalance strategy that executes instantly on the C++ backend.