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Stock Scanners to Find Stocks to Trade

how to scan stocks for swing trading

You learn about thousands of different types of stocks and filter through them based on volume, signals, price, and much more. While there are some free stock screeners, most investors will agree that the best features come from stock screeners that offer premium services. No BS swing trading, day trading, and investing strategies. Scanners can help to find good opportunities for making money, but for inexperienced traders, this can turn into excessive trading of irrelevant stocks. We teach you the entire approach to swing trading with options and how to choose the best trading strategy in each and every market condition. Swing trading is an attempt to capture gains in an asset over a few days to several weeks. Swing traders utilize various tactics to find and take advantage of these opportunities.

  • If so, it could be more attractive to traders because there are more overall transactions that go along with all that daily volume.
  • It will work ok, list of stocks will be just a bit bigger.
  • These are all windows that the “Pros” who use trade ideas have created and shared.
  • Day traders are in and out of trades within minutes or hours.
  • TRADEPRO Academy is not responsible for any liabilities arising as a result of your market involvement or individual trade activities.

A successful scalper embraces volatility and is indifferent to market swings. If the steps 1 to 5 are satisfactory, I proceed to calculate the risk to reward ratio a. To calculate RRR, I first establish the target by plotting either the support or resistance level. On the other hand, a scalper is a seasoned day trader; typically, he uses 1minute or 5 minutes timeframe. From my experience buying the latest version of a good charting software can cost you a onetime fee of anywhere between Rs.25,000/- and Rs.30,000/-.

Stock Scanners

Whether it’s call and put options, we can quickly click on the symbol and the charts will populate and give the user real time data. Options traders look for volatility and open interest for trading opportunities. It has saved me TIME; which is arguably the most important commodity that we as people have.

Scanning for bounce candidates in bear markets Relative Rotation Graphs – CMC Markets

Scanning for bounce candidates in bear markets Relative Rotation Graphs.

Posted: Fri, 07 Oct 2022 07:00:00 GMT [source]

Both the moving average and the exponential moving average scans are provided. Check out this step-by-step guide to learn how to find the best opportunities every single day. We select a high “short % of float” amount, like greater than 20% in this case. Then we order our results by top volume so as to filter out thinly traded stocks. Day trading scans offer a way to funnel that list into proper categories of equities that match your trading style or system. This way, you can focus on patterns you recognize, and discard the rest.

Eat, Sleep, Trade

Unfortunately, there is no quantifiable method to identify operator driven stocks. Easy Opportunity Recognition – Pi has a pattern recognition feature that lets you draw a screen pattern. Once you draw, command Pi to scout for that pattern across the market, and it will do just that for you. Kindly note, the suggestions I have put forth in this chapter are based on my trading experience. StockRover also allows for backtesting and creating equations—combining multiple filters into a mathematical equation to further fine-tune results. The free monthly credits are enough to allow most users to frequently utilize the site without paying for more.

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" width="250px" alt="how to scan stocks for swing trading"/>

It is important to distinguish whether the scanner is using your computer’s resources or the data provider’s servers to perform scans. The number crunching can be a major resource hog that can slow down your system performance. Depending on how specific your criteria is, you can determine if you will need to some programming training to ensure more accurate results. Using stock screeners how to scan stocks for swing trading enables investors to identify the best possible investment strategy and trading or investing style. The tool is unbeaten and being used by some of the most successful day traders. Also, institutions use their proprietary artificial intelligence based algorithms, and I have used this stock scanner for over ten years now. Trade Ideas has just everything that a day trader could need.

Building a Watch List

Spread bets and CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 79% of retail investor accounts lose money when spread betting and/or https://www.bigshotrading.info/ trading CFDs with this provider. You should consider whether you understand how spread bets and CFDs work and whether you can afford to take the high risk of losing your money.

  • Swing traders can struggle with this too, but the effect is amplified for the day trader.
  • Trade-Ideas helps us find stocks that are moving in the market and quickly evaluate the information in an easy to read format which quickly leads to an executable trade.
  • We share our Trade Ideasstock scannerslive each day in ourtrading service.
  • The hardest part is knowing when to enter and exit a trade.
  • A scalper is a highly focused trader with a sharp sense for the price.
  • Those types of gains might not seem to be the life-changing rewards typically sought in the stock market, but this is where the time factor comes in.

Though, a swing trader isn’t without risk mitigation techniques. The tightness of your filters will be the key to generating accurate results. If you are scanning for pattern set ups, make sure to validate how accurate the results are. If the scan is a pre-set one, then be aware of the flaw. If the scan can be customized, then it would be prudent to learn the necessary programming in order to produce the needed results. Stock screeners work beneficially in primarily two ways for stock investors.