Those of you who've been using SwingTradeBot for a few years may remember when I last announced portfolio syncing in 2018. Unfortunately the service I was using went out of business in 2020 and so the portfolio syncing stopped working. I was very disappointed when that service went away because the automatic syncing was a great way to stay up-to-date with SwingTradeBot's analysis on your current holdings.
Well I'm glad to announce that portfolio syncing is now back! This time it's powered by SnapTrade / Passiv. Unlike the previous service provider, this one actually has a business model -- they're charging actual money for their services. :-) (And they're backed by Y Combinator) That means two things:Read More ➞
A few weeks ago I added a new type of scan which I've called "Back-to-Back". It enables you to find stocks which have made certain signals on up to 3 consecutive days. For example, you can scan for stocks which fell below their 50-day moving average on one day and climbed back above the 50 DMA on the next day.Read More ➞
Here’s a quick rundown of some new things on SwingTadeBot
- Unlimited number of Watchlists & Portfolios for Platinum Plan subscribers
- Ability to copy intraday alerts configuration from one watchlist or portfolio to another
- In case the nightly email digest doesn’t reach your inbox for some reason, you can now view the nightly email digest on the site
- You’ll now see intraday percent change (except for OTCBB) in more places, like the tag, ETF holdings & intraday alerts pages
- Related ETFs for tags
- Recent News on Tag, Industry & ETF holdings pages
- Enhanced ETF Holdings pages
- ETF Comparisons
- A ton of behind the scenes things to improve performance and keep the data flowing smoothly.
By now everybody knows of the shenanigans taking place with GME and several other stocks. I thought I’d document some of my process in profiting from its parabolic rise (and subsequent fall). As you may know, I created a Parabolic Rise stock scan to find situations just like this.Read More ➞
There's a video by David Keller, which I linked in the featured links section, titled: "Re-Evaluating Your Process". It really resonated with me that 3 of his questions were about routines. I certainly recognize the importance of having good routines and sticking to them, which is why I created the routines section of SwingTradeBot. (Here's my original blog post about the routines functionality.)Read More ➞
With the extra volatility these days I'm finding myself checking in on my intraday alerts more frequently. They were a great help in finding some of my favorite names (FSLY & TDOC) bouncing off key levels for day trades last Friday. So I've been thinking of more alerts I could have SwingTradeBot generate. Here's the latest batch:Read More ➞
I spend an inordinate amount of time updating & cleaning up data that comes into SwingTradeBot. A good portion of that is removing acquired & delisted stocks and filling in missing data for newly listed stocks & ETFs. So I see a ton of ETFs being added to the market every month.
During the pandemic some of the names and/or tickers of these new ETFs piqued my interest -- such as GERM & Work From Home ETF (WFH). So I started wishing I could see their holdings right on SwingTradeBot. Luckily one of my data providers has ETFs components as part of their service. So I wrote some code to start ingesting that data and displaying it on the site.Read More ➞
Here are some new additions to SwingTradeBot from the last few months.
Earnings CalendarRead More ➞
I was asked earlier today about how to export a list of stocks from a SwingTradeBot scan result into a TradingView Watchlist. That reminded me that I forgot to write about an enhancement that I added last summer.
In response to another TradingView watchlist request I added another column (called tradingview_symbol) to SwingTradeBot's CSV file exports. That column contains TradingView's ticker symbol. TradingView combines the stock symbol with the stock's listing exchange, so AAPL, which is listed on the Nasdaq would be NASDAQ:AAPL. So that column of data will look something like:Read More ➞