add batch run by main.run

docs/source/intro/optimizing_parameters.rst

@@ -43,11 +43,66 @@
 	    executor.submit(run_bt, task)
 
 
-Python调用传递参数
+通过函数调用传递参数
 ====================================
 
 TBD
 
+.. code-block:: python
+
+    import concurrent.futures
+    import multiprocessing
+    from rqalpha.main import run
+
+
+    tasks = []
+    for short_period in range(3, 10, 2):
+	for long_period in range(30, 90, 5):
+	    config = {
+		"extra": {
+		    "context_vars": {
+			"SHORTPERIOD": short_period,
+			"LONGPERIOD": long_period,
+		    },
+		    "log_level": "verbose",
+		},
+		"base": {
+		    "securities": "stock",
+		    "matching_type": "current_bar",
+		    "start_date": "2015-01-01",
+		    "end_date": "2016-01-01",
+		    "stock_starting_cash": 100000,
+		    "benchmark": "000001.XSHE",
+		    "frequency": "1d",
+		    "strategy_file": "rqalpha/examples/golden_cross.py",
+		},
+		"mod": {
+		    "sys_progress": {
+			"enabled": True,
+			"show": True,
+		    },
+		    "sys_analyser": {
+			"enabled": True,
+			"report_save_path": "results/out-{short_period}-{long_period}.pkl".format(
+			    short_period=short_period,
+			    long_period=long_period,
+			)
+		    },
+		},
+	    }
+
+	    run(config)
+
+
+    def run_bt(config):
+	run(config)
+
+
+    with concurrent.futures.ProcessPoolExecutor(max_workers=multiprocessing.cpu_count()) as executor:
+	for task in tasks:
+	    executor.submit(run_bt, task)
+
+
 
 ==================
 分析批量回测结果