![]() code must me fully supported with detailed notes and the developer available for questions. Trade on entry signal, exit on exit signalĤ. using the unique paramaters per security, run the strategy live. optimize entry and exit paramaters for ATR/ADX strategy for each underlier in the basket in a batch process, optimizing for each underlierģ. add basket of securities (stocks, FX, bonds etc)Ģ. While we can use priprietary optimization we need to demonstrate it is superior to Quantopian's Zipline.ġ. I would like to use Quantopian Zipline for backtesting and optimization. I would like this in a Jupyter notebook because I want to tinker and I find it easier using Jupyter labs. Optimize sets with alternative parameters. alternative parameters) for optimal entry and exit. Use diffenrent combinations of sets (i.e. ![]() Parameters = Optimize parameters sets with different combinations for entry signal and exit signal.įor instance (matching parameters found on 'Adaptive ATR-ADX Trend V2' on TradingView: technical-analysis tradingview tradingview-ta Updated Python. Code Issues Pull requests Unofficial TradingView technical analysis API wrapper. Run strategy on list of underliers (equity, fx, bonds, commodities) using optimized sets of parameters. brian-the-dev / python-tradingview-ta Star 430. ![]() Add the first line cell and input below source code. ) Click file InvokePythonScript.ipynb to edit it. ( There are also 2 python script files listfile.py and listfilepath.py which we will introduce later. Create a jupyter notebook file with the name InvokePythonScript.ipynb. Pull in pricing data from Yfinance (or other, if better). Invoke Python Script File From Jupyter Notebook.
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