Enhancing PythonTrader Once you have a basic understanding of PythonTrader, you can start enhancing it with additional features and strategies. For example, you can add technical indicators such as the Relative Strength Index (RSI) or the Moving Average Convergence Divergence (MACD) to make more i...
from trader_tool.bond_cov_dataimport bond_cov_data importmatplotlib.pyplot as plt # 创建 bond_cov_data 类的实例 bond_cov_data_instance = bond_cov_data() def get_intraday_data(stock, data_type='1', fqt='1', limit='800', count='240'): try: hist_data = bond_cov_data_instance.get...
toolbar.AddSeparator() toolbar.AddTool(3, "AI量化实验室官网", wx.ArtProvider.GetBitmap(wx.ART_GO_HOME), "打开AI实验室") toolbar.AddTool(8, "策略优选", wx.ArtProvider.GetBitmap(wx.ART_GO_FORWARD), "打开AI实验室商城") toolbar.AddTool(0, "系统配置", config_bmp, "打开系统配置") ...
可能是由于以下原因导致的: 1. 版本兼容性问题:IbPy是一个第三方的Python库,用于连接到Interactive Brokers(IB)的交易平台TWS(Trader Workstation...
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The script does so by querying theKMimeTypeandKMimeTypeTrader. The script does 3 things: Given a MIME type, show it’s hierarchy and a list of applications associated with it. Given an applications, list all MIME types it’s associated with ...
You can run your algorithm from the CLI tool namedpylivetrader, simply like below. Then your algorithm starts running with broker API. You don't need the data bundle file in advance unlike zipline does. $ pylivetrader run -f algo.py --backend-config config.yaml ...
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in a pure Python distribution.20.IPython. I just can’t stress enough how useful this tool is...
Let us now see some cons of hierarchical clustering that a trader can be aware of. Computational Complexity: Hierarchical clustering can be computationally intensive, especially as the number of assets increases. The process involves the calculation of distances between all pairs of assets, and the ...