Welcome to the most comprehensive and powerful
Stock Screener tool available to traders and investors. You can select from a huge number of technical and fundamental criteria to find financial instruments that fit your investment needs or trading strategy.
Our Strategy Backtester tool will help you to test your ideas on historical data. Whether you are a beginner in the financial market or a professional trader, the provided tools will be extremely helpful in optimizing your trades!|
Develop your own stock screening strategy and backtest it on historical data!|
Trade and see your capital grow!
What makes MarketInOut.com unique stock screener, accessible to traders and investors?
Of course, we support all popular technical indicators such as MACD, Stochastic, Ichimoku, Bollinger Bands, and SuperTrend. But in addition to it, you can also perform more detailed stock screening using support and resistance levels, classic trend lines, Demark's trend lines, Fibonacci retracements, linear regression channels, Donchian and Keltner channels, pivot points, candlesticks, and classic chart patterns. You can also take approaches of Warren Buffett, Peter Lynch, and Benjamin Graham to find undervalued stocks and select financially stable companies using scoring techniques developed by Joseph Piotroski, Edward Altman, and Messod Beneish. But this is still only a small part of the arsenal available to you. Utilizing a multitude of technical and fundamental criteria allows you to select stocks across 20 different international stock exchanges using daily, weekly, and monthly periods. Historical screening and notification options are also available. Don't miss a thing by having new match alerts sent directly to your phone or email.
Have you already developed a stock screening method?
How much would you earn as a trader if you followed this method in your trading strategy in 2018 or 2019?
Find it out with the Strategy Backtester,
the most comprehensive backtesting tool on the web. This tool allows you to backtest the performance of your trading strategy over 20 years of historical data. The Strategy Backtester makes it easy to gauge the historical performance of even the most sophisticated trading strategies. Backtest your strategy with us before going live!
Stock Screener is an easy-to-use and powerful tool, but you can achieve even more flexibility with the Formula Screener tool, which allows you to build stock screening criteria of any complexity.
In a formula expression, you can use different time periods, index conditions, aggregate functions, data arrays, build scoring and time range criteria, perform historical screening, and add output instructions. It is worth noting that formula expressions can also be used in the Strategy Backtester tool to set criteria for opening and closing trading positions, in which case you can also use special functions that provide access to a trading position.
MarketInOut.com provides the opportunity to screen all the world's leading stock exchanges: Nasdaq, NYSE, OTC, IEX, TSX, TSXV,
CSE, LSE, XETRA, MOEX, Tadawul, NSE, BSE, BM, SES, ISE, HKSE, SHSE, SZSE, ASX, and NZX. But that is not all.
Of course, we also support Forex and Cryptocurrencies. All provided tools on the site apply to them.
Get a big picture view of your portfolio using the Portfolio Tracker tool. Use the chart feature to display the open and close points of your portfolio's positions. Measure the success of your portfolio using the performance chart and performance statistics. The Portfolio Tracker provides all the tools and information needed to analyze your portfolio as a whole.
Nifty 50, Nifty Next 50, Nifty 200, and Nifty 500 market indexes have become available as Index Membership criteria in the Stock Screener's Universe category. Index membership criteria can also be written in formula expression, for example, index(nifty50,next50). Backtesting on Nifty 50 components is available starting in 2010 due to the lack of the components' transition information. Backtesting on Nifty Next 50, Nifty 200, and Nifty 500 components is available beginning in 2023 for the same reason. The new indexes are also included in the World Indexes criterion's group of the Stock Screener's Universe / Aggregates category and are available on the market breadth page.
The BARS_SINCE function has been added to the Formula Screener tool. The function returns the number of days/bars that have passed since the specified technical event. For example, the formula expression bars_since(price ca sma(200)) > 3 reads as the number of days since the price crossed above the 200-day moving average is more than three. The formula would return a zero value if the technical event occurred today (on the current bar). It is also necessary to consider that the function will use only the last 500 bars to search for the specified technical event. The formula also applies to intraday periods. For example, the formula expression exch(iex) and bars_since(sma(7) cb sma(50))@h1 < 5 will find stocks on the IEX exchange for which the number of bars/hours passed since the 7-period moving average crossed below the 50-period moving average is less than five on the hourly chart.
If we consider, for example, the MACD indicator, we will see that it has two lines, the MACD line and the signal line, which is a smoothing (moving average) of the MACD line. The signal line allows us to set, for example, conditions such as MACD crossed above the signal line or MACD is above the signal line. But many indicators, such as the RSI or MOM, do not have a signal line, which does not allow us to set such criteria. Now you can create a signal line and add conditions using it in the Formula Screener. For example, rsi(14) ca sma(rsi(14), 20) reads as RSI crossed above its 20-period moving average (the signal line). Or, rsi(14) > sma(rsi(14), 20) reads as RSI is above the signal line. Currently, the following moving averages are supported for creating signal lines, SMA, EMA, and WMA. They can be applied to any indicators, including moving averages themselves. For example, sma(20) cb ema(sma(20), 50) reads as SMA crossed below its 50-period exponential moving average. Or, sma(20) < wma(sma(20), 50) reads as SMA is below its 50-period weighted moving average.
The Average Daily Range indicator (ADR) calculates the average daily high-to-low distances. It shows how much the price of an asset moves per day on average, and it is very similar to the Average True Range (ATR) indicator, with the difference that it does not consider any gaps with the previous day's closing price. The ADR indicator measures volatility and shows whether the price movement is out of the norm. For example, if an asset rallying during a trading session significantly exceeds its average daily range, further move in this direction is unlikely. This scenario suggests opening a position in the opposite direction and closing trading positions previously opened in the order of movement. You can select the ADR indicator in the Volatility category of the Stock Screener tool or refer to it by adr(14) in the Formula Screener. For example, adr(14) new_high 50 expression means ADR reached new 50-day high. Or, adr(14) trend_up 20 reads as ADR is trending up over the last 20 days.
The Chaikin's Volatility indicator was invented by Mark Chaikin, a longtime stock trader and analyst. The indicator is used to measure volatility by analyzing the gap between the minimum and maximum price of an asset over a certain number of periods. According to the theory, the indicator can be used to recognize market phases. New tops/bottoms on the chart and an increase in volatility in a short time indicate panic buy/sell. If the market tops/bottoms are accompanied by a decrease in volatility for a long time, this indicates a stable bull/bear market. It is also worth noting that an uptrend/downtrend reversal may be accompanied by a slow or short-term increase in volatility. You can select this indicator in the Volatility category of the Stock Screener tool or refer to it by cv(10,12) in the Formula Screener. For example, cv(10,12) new_high 50 expression means CV reached new 50-day high. Or, cv(10,12) trend_up 20 reads as CV is trending up over the last 20 days.