使用Marioriostoev的Finviz API出现解析错误求助

我使用Marioriostoev开发的Finviz API获取股票数据时，出现了解析错误，提示Unable to parse page for ticker: None。程序原本运行正常，功能是通过设置筛选条件匹配符合要求的股票，将结果导出至Excel文件，并将股票图表保存至指定文件夹，但现在无法正常运行，不清楚错误出在哪个模块。相关代码如下：

#!/usr/bin/python3
!pip install finviz~=1.4.6
from finviz.screener import Screener

import os
import datetime
Current_Date = datetime.datetime.today().strftime ('%d-%b-%Y')

# Input
valperiod = input('Enter Type of Graphic d,w,m: ')

if valperiod == "w" or "m":
     valta="0"
else:
     valta = "1"

# Create the Folder where the data and charts are going to be stored
newpath = 'D:\\Users\\Jose Mizrahi\\Documents\\finviz-master\\finviz-master\\'+'Breakout1 '+str(Current_Date)+'\\'
if not os.path.exists(newpath):
    os.makedirs(newpath)

# Get dict of available filters
# filters dict contains the corresponding filter tags
filters = Screener.load_filter_dict()

filters = [
    "cap_small",
    "fa_sales5years_pos",
    "sh_curvol_o200",
    "sh_relvol_o1",
    "ta_highlow52w_b0to10h",
    "ty=c&p=w&tas=0",
    "ta_volatility_mo3&ft=4&o=ticker"
]
stock_list = Screener(filters=filters, table="Performance")

print(stock_list)

# Monthly, Candles, Large, No Technical Analysis
if valperiod == "d":
    stock_list.get_charts(period="d", chart_type='c', size='l', ta="1")
else:
    stock_list.get_charts(period=valperiod, chart_type='c', size='l', ta="0")   

# period='d' > daily
# period='w' > weekly
# period='m' > monthly

# chart_type='c' > candle
# chart_type='l' > lines

# size='m' > small
# size='l' > large

# ta='1' > display technical analysis
# ta='0' > ignore technical analysis

print("Retrieving stock data...")
stock_data = stock_list.get_ticker_details()
print(stock_data)

os.chdir(newpath)

# Export the screener results to CSV file
stock_list.to_csv("JosyBreakout1.csv")

# Create a SQLite database
# stock_list.to_sqlite("sp500.sqlite")

错误原因及修复方案 #

1. 筛选器参数格式错误

手动定义的filters列表中混入了非标准筛选器标签："ty=c&p=w&tas=0"和"ta_volatility_mo3&ft=4&o=ticker"。这些是Finviz页面的URL参数，不属于筛选器标签范畴，需从filters中移除，相关配置通过Screener初始化的其他参数传递，或使用load_filter_dict()中的合法标签。

修正后的筛选器列表：

filters = [
    "cap_small",
    "fa_sales5years_pos",
    "sh_curvol_o200",
    "sh_relvol_o1",
    "ta_highlow52w_b0to10h",
    "ta_volatility_mo3"  # 仅保留合法筛选器标签
]

排序参数o=ticker在初始化Screener时通过order参数传递：

stock_list = Screener(filters=filters, table="Performance", order="ticker")

2. 条件判断逻辑错误

if valperiod == "w" or "m": 逻辑有误，Python中该表达式永远为True（因为"m"本身是真值）。正确写法：

if valperiod == "w" or valperiod == "m":
    valta = "0"
else:
    valta = "1"

3. 图表保存路径缺失

调用get_charts时需指定保存路径到创建的newpath，通过path参数传递：

if valperiod == "d":
    stock_list.get_charts(period="d", chart_type='c', size='l', ta="1", path=newpath)
else:
    stock_list.get_charts(period=valperiod, chart_type='c', size='l', ta="0", path=newpath)

4. 冗余代码清理

删除重复的from finviz.screener import Screener导入语句。

修正后的完整代码 #

#!/usr/bin/python3
!pip install finviz~=1.4.6
from finviz.screener import Screener

import os
import datetime
Current_Date = datetime.datetime.today().strftime ('%d-%b-%Y')

# Input
valperiod = input('Enter Type of Graphic d,w,m: ')

if valperiod == "w" or valperiod == "m":
    valta = "0"
else:
    valta = "1"

# Create the Folder where the data and charts are going to be stored
newpath = 'D:\\Users\\Jose Mizrahi\\Documents\\finviz-master\\finviz-master\\'+'Breakout1 '+str(Current_Date)+'\\'
if not os.path.exists(newpath):
    os.makedirs(newpath)

# Get dict of available filters
filters = [
    "cap_small",
    "fa_sales5years_pos",
    "sh_curvol_o200",
    "sh_relvol_o1",
    "ta_highlow52w_b0to10h",
    "ta_volatility_mo3"
]
# Initialize screener with correct filters and order
stock_list = Screener(filters=filters, table="Performance", order="ticker")

print(stock_list)

# Monthly, Candles, Large, No Technical Analysis
if valperiod == "d":
    stock_list.get_charts(period="d", chart_type='c', size='l', ta="1", path=newpath)
else:
    stock_list.get_charts(period=valperiod, chart_type='c', size='l', ta="0", path=newpath)   

print("Retrieving stock data...")
stock_data = stock_list.get_ticker_details()
print(stock_data)

os.chdir(newpath)

# Export the screener results to CSV file
stock_list.to_csv("JosyBreakout1.csv")

内容的提问来源于stack exchange，提问作者Josy