From 1bab07e419c9a6bc42f4f7bdcf86b6c922a1718b Mon Sep 17 00:00:00 2001 From: you-n-g Date: Sun, 13 Dec 2020 22:45:07 +0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index fdb3267c4..5d65aa579 100644 --- a/README.md +++ b/README.md @@ -138,10 +138,10 @@ Users could create the same dataset with it. ## Auto Quant Research Workflow Qlib provides a tool named `qrun` to run the whole workflow automatically (including building dataset, training models, backtest and evaluation). You can start an auto quant research workflow and have a graphical reports analysis according to the following steps: -1. Quant Research Workflow: Run `qrun` with lightgbm workflow config ([workflow_config_lightgbm.yaml](examples/benchmarks/LightGBM/workflow_config_lightgbm.yaml)) as following. +1. Quant Research Workflow: Run `qrun` with lightgbm workflow config ([workflow_config_lightgbm_Alpha158.yaml](examples/benchmarks/LightGBM/workflow_config_lightgbm_Alpha158.yaml) as following. ```bash cd examples # Avoid running program under the directory contains `qlib` - qrun benchmarks/LightGBM/workflow_config_lightgbm.yaml + qrun benchmarks/LightGBM/workflow_config_lightgbm_Alpha158.yaml ``` The result of `qrun` is as follows, please refer to please refer to [Intraday Trading](https://qlib.readthedocs.io/en/latest/component/backtest.html) for more details about the result.