Screeners — Indicatori e strategie

Multi TF Oscillators Screener [TradingFinder] RSI / ATR / Stoch 🔵 Introduction The oscillator screener is designed to simplify multi-timeframe analysis by allowing traders and analysts to monitor one or multiple symbols across their preferred timeframes—all at the same time. Users can track a single symbol through various timeframes simultaneously or follow multiple symbols in selected intervals. This flexibility makes the tool highly effective for analyzing diverse markets concurrently. At the core of this screener lie two essential oscillators: RSI (Relative Strength Index) and the Stochastic Oscillator. The RSI measures the speed and magnitude of recent price movements and helps identify overbought or oversold conditions. It's one of the most reliable indicators for spotting potential reversals. The Stochastic Oscillator, on the other hand, compares the current price to recent highs and lows to detect momentum strength and potential trend shifts. It’s especially effective in identifying divergences and short-term reversal signals. In addition to these two primary indicators, the screener also displays helpful supplementary data such as the dominant candlestick type (Bullish, Bearish, or Doji), market volatility indicators like ATR and TR, and the four key OHLC prices (Open, High, Low, Close) for each symbol and timeframe. This combination of data gives users a comprehensive technical view and allows for quick, side-by-side comparison of symbols and timeframes. 🔵 How to Use This tool is built for users who want to view the behavior of a single symbol across several timeframes simultaneously. Instead of jumping between charts, users can quickly grasp the state of a symbol like gold or Bitcoin across the 15-minute, 1-hour, and daily timeframes at a glance. This is particularly useful for traders who rely on multi-timeframe confirmation to strengthen their analysis and decision-making. The tool also supports simultaneous monitoring of multiple symbols. Users can select and track various assets based on the timeframes that matter most to them. For example, if you’re looking for entry opportunities, the screener allows you to compare setups across several markets side by side—making it easier to choose the most favorable trade. Whether you’re a scalper focused on low timeframes or a swing trader using higher ones, the tool adapts to your workflow. The screener utilizes the widely-used RSI indicator, which ranges from 0 to 100 and highlights market exhaustion levels. Readings above 70 typically indicate potential pullbacks, while values below 30 may suggest bullish reversals. Viewing RSI across timeframes can reveal meaningful divergences or alignments that improve signal quality. Another key indicator in the screener is the Stochastic Oscillator, which analyzes the closing price relative to its recent high-low range. When the %K and %D lines converge and cross within the overbought or oversold zones, it often signals a momentum reversal. This oscillator is especially responsive in lower timeframes, making it ideal for spotting quick entries or exits. Beyond these oscillators, the table includes other valuable data such as candlestick type (bullish, bearish, or doji), volatility measures like ATR and TR, and complete OHLC pricing. This layered approach helps users understand both market momentum and structure at a glance. Ultimately, this screener allows analysts and traders to gain a full market overview with just one look—empowering faster, more informed, and lower-risk decision-making. It not only saves time but also enhances the precision and clarity of technical analysis. 🔵 Settings 🟣 Display Settings Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge. Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments. 🟣 Symbol Settings Each of the 10 symbol slots comes with a full set of customizable parameters : Enable Symbol : A checkbox to activate or hide each symbol from the table. Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.). Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D). RSI Length : Defines the period used in RSI calculation (default is 14). Stochastic Length : Sets the period for the Stochastic Oscillator. ATR Length : Sets the length used to calculate the Average True Range, a key volatility metric. 🔵 Conclusion By combining powerful oscillators like RSI and Stochastic with full customization over symbols and timeframes, this tool provides a fast, flexible solution for technical analysts. Users can instantly monitor one or several assets across multiple timeframes without opening separate charts. Individual configuration for each symbol, along with the inclusion of key metrics like candlestick type, ATR/TR, and OHLC prices, makes the tool suitable for a wide range of trading styles—from scalping to swing and position trading. In summary, this screener enables traders to gain a clear, high-level view of various markets in seconds and make quicker, smarter, and lower-risk decisions. It saves time, streamlines analysis, and boosts overall efficiency and confidence in trading strategies.

Phaser [QuantVue]The Phaser indicator is a tool to help identify inflection points by looking at price relative to past prices across multiple timeframes and assets. Phase 1 looks for the price to be higher or lower than the closing price of the bar 4 bars earlier and is complete when 9 consecutive bars meet this criterion. A completed Phase 1 is considered perfect when the highs (bearish) or lows (bullish) have been exceeded from bars 6 and 7 of the phase. A bullish setup requires 9 consecutive closes less than the close 4 bars earlier. A bearish setup requires 9 consecutive closes greater than the close 4 bars earlier. Phase 2 begins once Phase 1 has been completed. Phase 2 compares the current price to the high or low of two bars earlier. Unlike Phase 1, Phase 2 does not require the count to be consecutive. Phase 2 is considered complete when 13 candles have met the criteria. An important aspect to Phase 2 is the relationship between bar 13 and bar 8. To ensure the end of Phase 2 is in line with the existing trend, the high or low of bar 13 is compared to the close of bar 8. A bullish imperfect 13 occurs when the current price is less than the low of 2 bars earlier, but the current low is greater than the close of bar 8 in Phase 2. A bearish imperfect 13 occurs when the current price is greater than the high of 2 bars earlier, but the current high is less than the close of bar 8 in Phase 2. Phase 2 does not need to go until it is complete. A Phase 2 can be canceled if the price closes above or below the highest or lowest price from Phase 1. Settings 3 Tickers 3 Timeframes Show Phase 1 Show Phase 2 User-selected colors

RSI over screener (any tickers)█ OVERVIEW This screener allow you to watch up to 240 any tickers you need to check RSI overbought and oversold using multiple periods, including the percentage of RSIs of different periods being overbought/oversold, as well as the average between these multiple RSIs. █ THANKS LuxAlgo for his RSI over multi length I made function for this RSI and screener based on it. allanster for his amazing idea how to split multiple symbols at once using a CSV list of ticker IDs █ HOW TO USE - hide chart: - add 6 copies of screener - change list number at settings from 1 to 6 - add you tickers Screener shows signals when RSI was overbought or oversold and become to 0, this signal you may use to enter position(check other market condition before enter). At settings you cam change Prefics, Appendix and put you tickers. limitations are: - max 40 tickers for one list - max 4096 characters for one list - tickers list should be separated by comma and may contains one space after the comma By default it shows almost all BINANCE USD-M USDT tickers Also you can adjust table for your screen by changing width of columns at settings. If you have any questions or suggestions write comment or message.

How To Input CSV List Of Symbol Data Used For Screener Example of how to input multiple symbols at once using a CSV list of ticker IDs. The input list is extracted into individual ticker IDs which are then each used within an example screener function that calculates their rate of change. The results for each of the rate of changes are then plotted. For code brevity this example only demonstrates using up to 4 symbols, but the logic is annotated to show how it can easily be expanded for use with up to 40 ticker IDs. The CSV list used for input may contain spaces or no spaces after each comma separator, but whichever format (space or no space) is used must be used consistently throughout the list. If the list contains any invalid symbols the script will display a red exclamation mark that when clicked will display those invalid symbols. If more than 4 ticker IDs are input then only the first 4 are used. If less than 4 ticker IDs are used then the unused screener calls will return `float(na)`. In the published chart the input list is using only 3 ticker IDs so there are only 3 plots shown instead of 4. NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!

Cobra's CryptoMarket Visualizer Cobra's Crypto Market Screener is designed to provide a comprehensive overview of the top 40 marketcap cryptocurrencies in a table\heatmap format. This indicator incorporates essential metrics such as Beta, Alpha, Sharpe Ratio, Sortino Ratio, Omega Ratio, Z-Score, and Average Daily Range (ADR). The table utilizes cell coloring resembling a heatmap, allowing for quick visual analysis and comparison of multiple cryptocurrencies. The indicator also includes a shortened explanation tooltip of each metric when hovering over it's respected cell. I shall elaborate on each here for anyone interested. Metric Descriptions: 1. Beta: measures the sensitivity of an asset's returns to the overall market returns. It indicates how much the asset's price is likely to move in relation to a benchmark index. A beta of 1 suggests the asset moves in line with the market, while a beta greater than 1 implies the asset is more volatile, and a beta less than 1 suggests lower volatility. 2. Alpha: is a measure of the excess return generated by an investment compared to its expected return, given its risk (as indicated by its beta). It assesses the performance of an investment after adjusting for market risk. Positive alpha indicates outperformance, while negative alpha suggests underperformance. 3. Sharpe Ratio: measures the risk-adjusted return of an investment or portfolio. It evaluates the excess return earned per unit of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, as it reflects a higher return for each unit of volatility or risk. 4. Sortino Ratio: is a risk-adjusted measure similar to the Sharpe ratio but focuses only on downside risk. It considers the excess return per unit of downside volatility. The Sortino ratio emphasizes the risk associated with below-target returns and is particularly useful for assessing investments with asymmetric risk profiles. 5. Omega Ratio: measures the ratio of the cumulative average positive returns to the cumulative average negative returns. It assesses the reward-to-risk ratio by considering both upside and downside performance. A higher Omega ratio indicates a higher reward relative to the risk taken. 6. Z-Score: is a statistical measure that represents the number of standard deviations a data point is from the mean of a dataset. In finance, the Z-score is commonly used to assess the financial health or risk of a company. It quantifies the distance of a company's financial ratios from the average and provides insight into its relative position. 7. Average Daily Range: ADR represents the average range of price movement of an asset during a trading day. It measures the average difference between the high and low prices over a specific period. Traders use ADR to gauge the potential price range within which an asset might fluctuate during a typical trading session. Utility: Comprehensive Overview: The indicator allows for monitoring up to 40 cryptocurrencies simultaneously, providing a consolidated view of essential metrics in a single table. Efficient Comparison: The heatmap-like coloring of the cells enables easy visual comparison of different cryptocurrencies, helping identify relative strengths and weaknesses. Risk Assessment: Metrics such as Beta, Alpha, Sharpe Ratio, Sortino Ratio, and Omega Ratio offer insights into the risk associated with each cryptocurrency, aiding risk assessment and portfolio management decisions. Performance Evaluation: The Alpha, Sharpe Ratio, and Sortino Ratio provide measures of a cryptocurrency's performance adjusted for risk. This helps assess investment performance over time and across different assets. Market Analysis: By considering the Z-Score and Average Daily Range (ADR), traders can evaluate the financial health and potential price volatility of cryptocurrencies, aiding in trade selection and risk management. Features: Reference period optimization, alpha and ADR in particular Source calculation Table sizing and positioning options to fit the user's screen size. Tooltips Important Notes - 1. The Sharpe, Sortino and Omega ratios cell coloring threshold might be subjective, I did the best I can to gauge the median value of each to provide more accurate coloring sentiment, it may change in the future. The median values are : Sharpe -1, Sortino - 1.5, Omega - 20. 2. Limitations - Some cryptos have a Z-Score value of NaN due to their short lifetime, I tried to overcome this issue as with the rest of the metrics as best I can. Moreover, it limits the time horizon for replay mode to somewhere around Q3 of 2021 and that's with using the split option of the top half, to remain with the older cryptos. 3. For the beginner Pine enthusiasts, I recommend scimming through the script as it serves as a prime example of using key features, to name a few : Arrays, User Defined Functions, User Defined Types, For loops, Switches and Tables. 4. Beta and Alpha's benchmark instrument is BTC, due to cryptos volatility I saw no reason to use SPY or any other asset for that matter.

Custom Multi-Timeframe Indicator It's a pretty simple example of a nice custom screener you can run for multiple timeframes. This is an RSI screener, but you can easily change the function for your own Indicator. Screener displays: Last value of the instrument RSI value for up to 10 instruments / 4 timeframes. In Parameters you can change: 4 timeframes 10 instruments Parameters for RSI Styling parameters for table If the selected timeframe will be lower than the current one you will receive a warning message in a table. Thanks to @MUQWISHI to help me code it. Disclaimer Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don’t provide any financial advice.

Screener for 40+ instruments As you probably know in TradingView there is a limit of 40 instruments in one custom screener. I created a script that will allow you to scan more symbols. The idea of it is pretty simple. You have to add a screener a few times on your screen with a different set of symbols. Then select column width (as % of your chart width) and # of the screener right to left. Script will plot #1 screener next to the right border. For #2 and all next tables, the script will compute the needed offset and will draw it on the left. This way it will look like one table and not a few separate indicators. I created a script with an RSI screener, but you can create more complicated examples with it. Off course, that's not a silver bullet solution but might work for some of you. Disclaimer Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don’t provide any financial advice.