Since this data set includes some tickers that may no longer be actively traded, some filtering is required. #read in the data set, drop the columns not needed, and make sure 'tradeDate' colĭf = pd.read_csv('.\\appData\\dailyEquityData.csv')ĭf = df]ĭf = pd.to_datetime(df)Ī quick sanity check of what we're starting with: To follow the tradition of code along projects that involve large data sets, I'll start with a single csv file of the entire Quandl/Sharadar EOD Equity Prices data (link below) by importing it into my Python environment as a pandas data frame. Each day's trading volume >= 200,000 shares.No gaps (up or down) for the last 100 days between a day's opening price and the prior day's close > 10% (abs value).50-period SMA > 200-period SMA for the last 100 days.20-period SMA > 50-period SMA for the last 100 days.To remove possible distortions to the faster SMA that can come from large gaps, we also filter out any ticker that has had a gap in either direction greater than 10% (using absolute value) within the date range. After some data cleansing that removes data points for tickers no longer trading, the basic idea is to apply conditional checks and filtering to your entire ticker universe of prices, returning only those tickers that have short-term simple moving averages (SMAs) that are higher than longer-term ones, across a specified range of days. I work in Python, and will include screenshots and code snippets to make it as reproducible as possible. Please bear in mind this doesn't generate a list of recommended positions, but a list of tickers worth a closer look via charts, fundamentals, and macro/broader market conditions. I run several filters daily, and I'm going to share one of the simpler ones here. I trade long only, so my search for trends is always for rising stocks. So needless to say, it's important to have a system in place to pare down the number of charts that are worth a closer look. ? Google Search is also available in Beta and you can opt-in as a tester via Google Play.While there will always be a place in my trading process to visually review chart patterns of individual stocks and ETFs for new position candidates, my Quandl end of day (EOD) data set returns pricing and volume info on over 6,000 tickers every day.? Google Search is the main search app that provides different services to other apps from Google, like Google Assistant, Google Lenses and more.These steps will give you a chance to receive the same push as soon as Google will gather enough information for the summary of the day. Google Assistance Finance Snapshot How to test: Unfortunately, there are no other providers yet. Interesting that apart from modifying your watchlist you can also connect a Schwab brokerage account. This information also comes as a part of Google Assistant Snapshot under the "Stocks you follow". Google shows news about publicly traded companies along with information about how did they perform at this day. But what is cool is to see a news list with a market move chip. There you can update and create your stock watchlists. This push includes a summary of ups and downs for your stock market watchlist and tapping on it brings you to the "finance" search query. If you have stock tickers that you are watching via Google or Google Assistant, you may receive a push notification with "how your watchlist did today".
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