TradingView Stock Screener: Latest Market Updates

The screener automates filtering that would take hours of manual chart reviewing. You define your criteria like RSI levels, volume thresholds, or market cap requirements. The system instantly returns only the matches.

I’ve cut my research time from several hours daily to about 30-45 minutes. I use saved filter combinations to make this happen. The screener checks every stock against your requirements simultaneously.

Start with simple, proven combinations rather than complex filters. Try a basic momentum screen with just three criteria. Look for price above the 50-day moving average, volume above average, and RSI above 50 but below 70.

This finds stocks in uptrends with participation but not yet overbought. Another beginner-friendly approach is screening for stocks near 52-week highs with increasing volume. Screen for stocks within 10-15% of their highs to catch potential breakout candidates.

Run these screens consistently for a few weeks and track results before adding complexity. I made the mistake early on of stacking too many filters. This gave me either zero results or analysis paralysis.

The tradingview stock filters free tier is genuinely functional for learning and swing trading. I used it exclusively for my first year. You get access to the screener, basic charts, standard indicators, and delayed data.

The main limitations are fewer simultaneous alerts and one saved chart layout. US stocks have a 15-minute data delay. If you’re day trading, the delay is problematic and you’ll need a paid plan.

For swing trading or position trading, delayed data is perfectly adequate. Start free, learn the platform, and develop your approach. Upgrade if you find yourself hitting the limitations.

The Essential plan removes most restrictions and adds real-time data. This becomes worth it once you’re trading with real money consistently.

The tradingview screener cryptocurrency function works similarly to stocks but with some differences. Access it through the “Crypto” tab in the screener section. You can filter by exchange like Binance, Coinbase, or Kraken.

Common crypto screening criteria I use include volume above average and RSI conditions. I also check price relative to moving averages. Volume filtering is essential for crypto due to liquidity concerns.

You can screen by “quote currency” to show all coins paired with USDT or BTC. For crypto specifically, I pay more attention to volume filters. Low-volume crypto can have massive spreads and slippage.

Fundamental filters look at financial statement data like P/E ratios and revenue growth. They also include profit margins, debt levels, dividend yields, and earnings per share. These tell you about the company’s financial health and valuation.

Technical filters analyze price action and chart patterns. They include RSI levels, moving average positions, volume patterns, and MACD signals. These indicate market sentiment and momentum.

I typically start with fundamentals to identify quality companies. Then I apply technical filters to those results for entry timing. The combination gives you quality opportunities with favorable technical setups.

Create and save multiple filter combinations for different purposes. I have a “morning momentum” scan for stocks up more than 3% pre-market. I also use an “oversold bounce” scan and a “breakout watch” scan.

To save these in TradingView, set your filter criteria and click the “Save” button. Name your screen for easy reference. Each morning, I run all three saved scans in about 10 minutes total.

I review the 15-20 results combined and add interesting candidates to my watchlist. The key is consistency—run the same scans at the same time daily. This helps you develop pattern recognition for what typically works.

Absolutely, and this is where the screener becomes powerful for technical traders. You can filter based on indicator conditions and even indicator relationships. For moving average crossovers specifically, use filters like “SMA20 crosses above SMA50.”

You can also set conditions where “SMA20 value > SMA50 value” and check previous values. This confirms the crossover happened recently rather than weeks ago.

Advanced techniques involve layering multiple timeframes and using custom Pine Script indicators in filters. One approach I use: screen on daily timeframe criteria but verify the weekly chart shows alignment. This confirms the bigger trend before taking action.

Another advanced technique is relative strength screening. Compare a stock’s performance to its sector ETF by filtering for stocks outperforming their sector. You can also create custom indicators in Pine Script that encode complex patterns.

The screener’s “Compare” function lets you screen for stocks with beta values relative to the market. I also use negative filters to exclude certain criteria. For example, screen for momentum stocks but exclude those with earnings announcements coming soon.

The most advanced technique is creating multiple related screens that function as a funnel. Start with a broad fundamental screen, then narrow with technical criteria, then add final volume confirmation. This progressively filters from hundreds to dozens to a handful of highest-probability setups.

The data accuracy is solid and comparable to broker platforms. This is especially true on paid plans with real-time feeds. TradingView sources data directly from exchanges like NYSE, NASDAQ, and international exchanges.

I’ve compared their data against my broker’s platform and rarely see meaningful discrepancies. The free tier has a 15-minute delay for US stocks. This is standard for free data and still accurate, just not current.

For real-time trading decisions, you’ll want a paid plan or cross-reference with your broker. Always double-check financial statement numbers on the company’s investor relations page. The technical data like price, volume, and chart patterns is reliably accurate.

TradingView’s “Bar Replay” feature is excellent for manual backtesting. Scroll your chart back to a historical date, say six months ago. Apply your screener criteria visually to see what would have appeared.

Mark where you would’ve entered based on your rules. Then use Bar Replay to watch the price action unfold bar by bar. Track the outcomes in a spreadsheet with entry price, exit price, and percentage gain or loss.

Over time, you’ll accumulate statistics on your screener approaches. I’ve tracked that my oversold bounce screen works about 65% of the time. This evidence from backtesting guides my position sizing and risk management.

Always check recent news immediately after a stock appears in your screener results. This context transforms data into actionable intelligence. TradingView shows news headlines directly on charts with blue markers.

If unusual volume coincides with an earnings beat or FDA approval, that’s a legitimate catalyst. If it’s unusual volume on bad news like earnings miss or regulatory issues, I avoid the stock. My routine: screener result, check last 3-5 news headlines, evaluate chart, make decision.

I also integrate external sources by keeping Seeking Alpha and Bloomberg open in other tabs. For cryptocurrency, I check CoinDesk and CoinTelegraph since crypto news moves faster. The combination of quantitative screener data plus qualitative news context gives you an edge.

The biggest mistake is using too many filters initially. This either returns zero results or creates analysis paralysis. Start with 3-4 criteria maximum, understand how each affects your results, then add complexity gradually.

Another common error: copying someone else’s filter settings from YouTube without understanding their strategy. What works for a day trader won’t work for a swing trader. Also, avoid treating screener results as buy signals by themselves.

The screener finds candidates; you still need to analyze the chart and check news. Don’t ignore the broader market context either. If the overall market is in a downtrend, your individual stock setups will likely struggle.

Finally, not backtesting your screens before using real money is asking for trouble. Spend at least a few weeks paper trading screener results. Track them in a spreadsheet before committing capital.

Yes, TradingView has mobile apps for both iOS and Android that include screener functionality. The experience is naturally more limited than the desktop version. The mobile screener lets you apply filters, view results, and see basic charts.

I use the mobile app primarily for checking watchlists and receiving alerts while away from my desk. Setting up elaborate multi-filter screens is tedious on a small screen. My workflow: create and save screener configurations on desktop, then access those saved screens from mobile.

The mobile app excels at alerts with push notifications for pre-set conditions. For serious screening work, stick with the desktop web version or dedicated app. Mobile works fine for monitoring existing setups and quick checks.

This depends entirely on your trading timeframe and strategy. For swing trading, I run my main scans once daily. This typically happens in the morning before or right after market open.

For day traders, you’d scan multiple times throughout the day. Some day traders scan every hour or even more frequently to catch intraday momentum shifts. For position traders or long-term investors, weekly scanning is often sufficient.

I have different scan frequencies for different purposes. My fundamental quality screen runs once weekly on Sundays. My technical setup scans run daily.

The key is consistency—run your scans at the same time regularly. This helps you develop reliable routines and pattern recognition. Scanning too frequently just creates noise and can lead to overtrading.

Market cap filtering is crucial for managing liquidity risk and volatility. Stocks below $300-500 million market cap can be extremely illiquid. You might find a great technical setup but not be able to enter at your desired price.

The bid-ask spreads are often wider on smaller cap stocks. Large orders can move the price significantly. I typically filter for market cap above $300 million minimum, preferably above $500 million.

There’s a trade-off though: smaller cap stocks can have bigger percentage moves. They come with substantially higher risk and volatility. My win rate is about 12% higher on stocks above $1 billion market cap.

For beginners, I strongly recommend starting with larger caps above $1 billion. Liquidity is reliable and price action is generally cleaner and more predictable.

The screener automates filtering that would take hours of manual chart reviewing. You define your criteria like RSI levels, volume thresholds, or market cap requirements. The system instantly returns only the matches.

I’ve cut my research time from several hours daily to about 30-45 minutes. I use saved filter combinations to make this happen. The screener checks every stock against your requirements simultaneously.

Start with simple, proven combinations rather than complex filters. Try a basic momentum screen with just three criteria. Look for price above the 50-day moving average, volume above average, and RSI above 50 but below 70.

This finds stocks in uptrends with participation but not yet overbought. Another beginner-friendly approach is screening for stocks near 52-week highs with increasing volume. Screen for stocks within 10-15% of their highs to catch potential breakout candidates.

Run these screens consistently for a few weeks and track results before adding complexity. I made the mistake early on of stacking too many filters. This gave me either zero results or analysis paralysis.

The tradingview stock filters free tier is genuinely functional for learning and swing trading. I used it exclusively for my first year. You get access to the screener, basic charts, standard indicators, and delayed data.

The main limitations are fewer simultaneous alerts and one saved chart layout. US stocks have a 15-minute data delay. If you’re day trading, the delay is problematic and you’ll need a paid plan.

For swing trading or position trading, delayed data is perfectly adequate. Start free, learn the platform, and develop your approach. Upgrade if you find yourself hitting the limitations.

The Essential plan removes most restrictions and adds real-time data. This becomes worth it once you’re trading with real money consistently.

The tradingview screener cryptocurrency function works similarly to stocks but with some differences. Access it through the “Crypto” tab in the screener section. You can filter by exchange like Binance, Coinbase, or Kraken.

Common crypto screening criteria I use include volume above average and RSI conditions. I also check price relative to moving averages. Volume filtering is essential for crypto due to liquidity concerns.

You can screen by “quote currency” to show all coins paired with USDT or BTC. For crypto specifically, I pay more attention to volume filters. Low-volume crypto can have massive spreads and slippage.

Fundamental filters look at financial statement data like P/E ratios and revenue growth. They also include profit margins, debt levels, dividend yields, and earnings per share. These tell you about the company’s financial health and valuation.

Technical filters analyze price action and chart patterns. They include RSI levels, moving average positions, volume patterns, and MACD signals. These indicate market sentiment and momentum.

I typically start with fundamentals to identify quality companies. Then I apply technical filters to those results for entry timing. The combination gives you quality opportunities with favorable technical setups.

Create and save multiple filter combinations for different purposes. I have a “morning momentum” scan for stocks up more than 3% pre-market. I also use an “oversold bounce” scan and a “breakout watch” scan.

To save these in TradingView, set your filter criteria and click the “Save” button. Name your screen for easy reference. Each morning, I run all three saved scans in about 10 minutes total.

I review the 15-20 results combined and add interesting candidates to my watchlist. The key is consistency—run the same scans at the same time daily. This helps you develop pattern recognition for what typically works.

Absolutely, and this is where the screener becomes powerful for technical traders. You can filter based on indicator conditions and even indicator relationships. For moving average crossovers specifically, use filters like “SMA20 crosses above SMA50.”

You can also set conditions where “SMA20 value > SMA50 value” and check previous values. This confirms the crossover happened recently rather than weeks ago.

Advanced techniques involve layering multiple timeframes and using custom Pine Script indicators in filters. One approach I use: screen on daily timeframe criteria but verify the weekly chart shows alignment. This confirms the bigger trend before taking action.

Another advanced technique is relative strength screening. Compare a stock’s performance to its sector ETF by filtering for stocks outperforming their sector. You can also create custom indicators in Pine Script that encode complex patterns.

The screener’s “Compare” function lets you screen for stocks with beta values relative to the market. I also use negative filters to exclude certain criteria. For example, screen for momentum stocks but exclude those with earnings announcements coming soon.

The most advanced technique is creating multiple related screens that function as a funnel. Start with a broad fundamental screen, then narrow with technical criteria, then add final volume confirmation. This progressively filters from hundreds to dozens to a handful of highest-probability setups.

The data accuracy is solid and comparable to broker platforms. This is especially true on paid plans with real-time feeds. TradingView sources data directly from exchanges like NYSE, NASDAQ, and international exchanges.

I’ve compared their data against my broker’s platform and rarely see meaningful discrepancies. The free tier has a 15-minute delay for US stocks. This is standard for free data and still accurate, just not current.

For real-time trading decisions, you’ll want a paid plan or cross-reference with your broker. Always double-check financial statement numbers on the company’s investor relations page. The technical data like price, volume, and chart patterns is reliably accurate.

TradingView’s “Bar Replay” feature is excellent for manual backtesting. Scroll your chart back to a historical date, say six months ago. Apply your screener criteria visually to see what would have appeared.

Mark where you would’ve entered based on your rules. Then use Bar Replay to watch the price action unfold bar by bar. Track the outcomes in a spreadsheet with entry price, exit price, and percentage gain or loss.

Over time, you’ll accumulate statistics on your screener approaches. I’ve tracked that my oversold bounce screen works about 65% of the time. This evidence from backtesting guides my position sizing and risk management.

Always check recent news immediately after a stock appears in your screener results. This context transforms data into actionable intelligence. TradingView shows news headlines directly on charts with blue markers.

If unusual volume coincides with an earnings beat or FDA approval, that’s a legitimate catalyst. If it’s unusual volume on bad news like earnings miss or regulatory issues, I avoid the stock. My routine: screener result, check last 3-5 news headlines, evaluate chart, make decision.

I also integrate external sources by keeping Seeking Alpha and Bloomberg open in other tabs. For cryptocurrency, I check CoinDesk and CoinTelegraph since crypto news moves faster. The combination of quantitative screener data plus qualitative news context gives you an edge.

The biggest mistake is using too many filters initially. This either returns zero results or creates analysis paralysis. Start with 3-4 criteria maximum, understand how each affects your results, then add complexity gradually.

Another common error: copying someone else’s filter settings from YouTube without understanding their strategy. What works for a day trader won’t work for a swing trader. Also, avoid treating screener results as buy signals by themselves.

The screener finds candidates; you still need to analyze the chart and check news. Don’t ignore the broader market context either. If the overall market is in a downtrend, your individual stock setups will likely struggle.

Finally, not backtesting your screens before using real money is asking for trouble. Spend at least a few weeks paper trading screener results. Track them in a spreadsheet before committing capital.

Yes, TradingView has mobile apps for both iOS and Android that include screener functionality. The experience is naturally more limited than the desktop version. The mobile screener lets you apply filters, view results, and see basic charts.

I use the mobile app primarily for checking watchlists and receiving alerts while away from my desk. Setting up elaborate multi-filter screens is tedious on a small screen. My workflow: create and save screener configurations on desktop, then access those saved screens from mobile.

The mobile app excels at alerts with push notifications for pre-set conditions. For serious screening work, stick with the desktop web version or dedicated app. Mobile works fine for monitoring existing setups and quick checks.

This depends entirely on your trading timeframe and strategy. For swing trading, I run my main scans once daily. This typically happens in the morning before or right after market open.

For day traders, you’d scan multiple times throughout the day. Some day traders scan every hour or even more frequently to catch intraday momentum shifts. For position traders or long-term investors, weekly scanning is often sufficient.

I have different scan frequencies for different purposes. My fundamental quality screen runs once weekly on Sundays. My technical setup scans run daily.

The key is consistency—run your scans at the same time regularly. This helps you develop reliable routines and pattern recognition. Scanning too frequently just creates noise and can lead to overtrading.

Market cap filtering is crucial for managing liquidity risk and volatility. Stocks below $300-500 million market cap can be extremely illiquid. You might find a great technical setup but not be able to enter at your desired price.

The bid-ask spreads are often wider on smaller cap stocks. Large orders can move the price significantly. I typically filter for market cap above $300 million minimum, preferably above $500 million.

There’s a trade-off though: smaller cap stocks can have bigger percentage moves. They come with substantially higher risk and volatility. My win rate is about 12% higher on stocks above $1 billion market cap.

For beginners, I strongly recommend starting with larger caps above $1 billion. Liquidity is reliable and price action is generally cleaner and more predictable.

The screener automates filtering that would take hours of manual chart reviewing. You define your criteria like RSI levels, volume thresholds, or market cap requirements. The system instantly returns only the matches.

I’ve cut my research time from several hours daily to about 30-45 minutes. I use saved filter combinations to make this happen. The screener checks every stock against your requirements simultaneously.

Start with simple, proven combinations rather than complex filters. Try a basic momentum screen with just three criteria. Look for price above the 50-day moving average, volume above average, and RSI above 50 but below 70.

This finds stocks in uptrends with participation but not yet overbought. Another beginner-friendly approach is screening for stocks near 52-week highs with increasing volume. Screen for stocks within 10-15% of their highs to catch potential breakout candidates.

Run these screens consistently for a few weeks and track results before adding complexity. I made the mistake early on of stacking too many filters. This gave me either zero results or analysis paralysis.

The tradingview stock filters free tier is genuinely functional for learning and swing trading. I used it exclusively for my first year. You get access to the screener, basic charts, standard indicators, and delayed data.

The main limitations are fewer simultaneous alerts and one saved chart layout. US stocks have a 15-minute data delay. If you’re day trading, the delay is problematic and you’ll need a paid plan.

For swing trading or position trading, delayed data is perfectly adequate. Start free, learn the platform, and develop your approach. Upgrade if you find yourself hitting the limitations.

The Essential plan removes most restrictions and adds real-time data. This becomes worth it once you’re trading with real money consistently.

The tradingview screener cryptocurrency function works similarly to stocks but with some differences. Access it through the “Crypto” tab in the screener section. You can filter by exchange like Binance, Coinbase, or Kraken.

Common crypto screening criteria I use include volume above average and RSI conditions. I also check price relative to moving averages. Volume filtering is essential for crypto due to liquidity concerns.

You can screen by “quote currency” to show all coins paired with USDT or BTC. For crypto specifically, I pay more attention to volume filters. Low-volume crypto can have massive spreads and slippage.

Fundamental filters look at financial statement data like P/E ratios and revenue growth. They also include profit margins, debt levels, dividend yields, and earnings per share. These tell you about the company’s financial health and valuation.

Technical filters analyze price action and chart patterns. They include RSI levels, moving average positions, volume patterns, and MACD signals. These indicate market sentiment and momentum.

I typically start with fundamentals to identify quality companies. Then I apply technical filters to those results for entry timing. The combination gives you quality opportunities with favorable technical setups.

Create and save multiple filter combinations for different purposes. I have a “morning momentum” scan for stocks up more than 3% pre-market. I also use an “oversold bounce” scan and a “breakout watch” scan.

To save these in TradingView, set your filter criteria and click the “Save” button. Name your screen for easy reference. Each morning, I run all three saved scans in about 10 minutes total.

I review the 15-20 results combined and add interesting candidates to my watchlist. The key is consistency—run the same scans at the same time daily. This helps you develop pattern recognition for what typically works.

Absolutely, and this is where the screener becomes powerful for technical traders. You can filter based on indicator conditions and even indicator relationships. For moving average crossovers specifically, use filters like “SMA20 crosses above SMA50.”

You can also set conditions where “SMA20 value > SMA50 value” and check previous values. This confirms the crossover happened recently rather than weeks ago.

Advanced techniques involve layering multiple timeframes and using custom Pine Script indicators in filters. One approach I use: screen on daily timeframe criteria but verify the weekly chart shows alignment. This confirms the bigger trend before taking action.

Another advanced technique is relative strength screening. Compare a stock’s performance to its sector ETF by filtering for stocks outperforming their sector. You can also create custom indicators in Pine Script that encode complex patterns.

The screener’s “Compare” function lets you screen for stocks with beta values relative to the market. I also use negative filters to exclude certain criteria. For example, screen for momentum stocks but exclude those with earnings announcements coming soon.

The most advanced technique is creating multiple related screens that function as a funnel. Start with a broad fundamental screen, then narrow with technical criteria, then add final volume confirmation. This progressively filters from hundreds to dozens to a handful of highest-probability setups.

The data accuracy is solid and comparable to broker platforms. This is especially true on paid plans with real-time feeds. TradingView sources data directly from exchanges like NYSE, NASDAQ, and international exchanges.

I’ve compared their data against my broker’s platform and rarely see meaningful discrepancies. The free tier has a 15-minute delay for US stocks. This is standard for free data and still accurate, just not current.

For real-time trading decisions, you’ll want a paid plan or cross-reference with your broker. Always double-check financial statement numbers on the company’s investor relations page. The technical data like price, volume, and chart patterns is reliably accurate.

TradingView’s “Bar Replay” feature is excellent for manual backtesting. Scroll your chart back to a historical date, say six months ago. Apply your screener criteria visually to see what would have appeared.

Mark where you would’ve entered based on your rules. Then use Bar Replay to watch the price action unfold bar by bar. Track the outcomes in a spreadsheet with entry price, exit price, and percentage gain or loss.

Over time, you’ll accumulate statistics on your screener approaches. I’ve tracked that my oversold bounce screen works about 65% of the time. This evidence from backtesting guides my position sizing and risk management.

Always check recent news immediately after a stock appears in your screener results. This context transforms data into actionable intelligence. TradingView shows news headlines directly on charts with blue markers.

If unusual volume coincides with an earnings beat or FDA approval, that’s a legitimate catalyst. If it’s unusual volume on bad news like earnings miss or regulatory issues, I avoid the stock. My routine: screener result, check last 3-5 news headlines, evaluate chart, make decision.

I also integrate external sources by keeping Seeking Alpha and Bloomberg open in other tabs. For cryptocurrency, I check CoinDesk and CoinTelegraph since crypto news moves faster. The combination of quantitative screener data plus qualitative news context gives you an edge.

The biggest mistake is using too many filters initially. This either returns zero results or creates analysis paralysis. Start with 3-4 criteria maximum, understand how each affects your results, then add complexity gradually.

Another common error: copying someone else’s filter settings from YouTube without understanding their strategy. What works for a day trader won’t work for a swing trader. Also, avoid treating screener results as buy signals by themselves.

The screener finds candidates; you still need to analyze the chart and check news. Don’t ignore the broader market context either. If the overall market is in a downtrend, your individual stock setups will likely struggle.

Finally, not backtesting your screens before using real money is asking for trouble. Spend at least a few weeks paper trading screener results. Track them in a spreadsheet before committing capital.

Yes, TradingView has mobile apps for both iOS and Android that include screener functionality. The experience is naturally more limited than the desktop version. The mobile screener lets you apply filters, view results, and see basic charts.

I use the mobile app primarily for checking watchlists and receiving alerts while away from my desk. Setting up elaborate multi-filter screens is tedious on a small screen. My workflow: create and save screener configurations on desktop, then access those saved screens from mobile.

The mobile app excels at alerts with push notifications for pre-set conditions. For serious screening work, stick with the desktop web version or dedicated app. Mobile works fine for monitoring existing setups and quick checks.

This depends entirely on your trading timeframe and strategy. For swing trading, I run my main scans once daily. This typically happens in the morning before or right after market open.

For day traders, you’d scan multiple times throughout the day. Some day traders scan every hour or even more frequently to catch intraday momentum shifts. For position traders or long-term investors, weekly scanning is often sufficient.

I have different scan frequencies for different purposes. My fundamental quality screen runs once weekly on Sundays. My technical setup scans run daily.

The key is consistency—run your scans at the same time regularly. This helps you develop reliable routines and pattern recognition. Scanning too frequently just creates noise and can lead to overtrading.

Market cap filtering is crucial for managing liquidity risk and volatility. Stocks below $300-500 million market cap can be extremely illiquid. You might find a great technical setup but not be able to enter at your desired price.

The bid-ask spreads are often wider on smaller cap stocks. Large orders can move the price significantly. I typically filter for market cap above $300 million minimum, preferably above $500 million.

There’s a trade-off though: smaller cap stocks can have bigger percentage moves. They come with substantially higher risk and volatility. My win rate is about 12% higher on stocks above $1 billion market cap.

For beginners, I strongly recommend starting with larger caps above $1 billion. Liquidity is reliable and price action is generally cleaner and more predictable.

The screener automates filtering that would take hours of manual chart reviewing. You define your criteria like RSI levels, volume thresholds, or market cap requirements. The system instantly returns only the matches.

I’ve cut my research time from several hours daily to about 30-45 minutes. I use saved filter combinations to make this happen. The screener checks every stock against your requirements simultaneously.

Start with simple, proven combinations rather than complex filters. Try a basic momentum screen with just three criteria. Look for price above the 50-day moving average, volume above average, and RSI above 50 but below 70.

This finds stocks in uptrends with participation but not yet overbought. Another beginner-friendly approach is screening for stocks near 52-week highs with increasing volume. Screen for stocks within 10-15% of their highs to catch potential breakout candidates.

Run these screens consistently for a few weeks and track results before adding complexity. I made the mistake early on of stacking too many filters. This gave me either zero results or analysis paralysis.

The tradingview stock filters free tier is genuinely functional for learning and swing trading. I used it exclusively for my first year. You get access to the screener, basic charts, standard indicators, and delayed data.

The main limitations are fewer simultaneous alerts and one saved chart layout. US stocks have a 15-minute data delay. If you’re day trading, the delay is problematic and you’ll need a paid plan.

For swing trading or position trading, delayed data is perfectly adequate. Start free, learn the platform, and develop your approach. Upgrade if you find yourself hitting the limitations.

The Essential plan removes most restrictions and adds real-time data. This becomes worth it once you’re trading with real money consistently.

The tradingview screener cryptocurrency function works similarly to stocks but with some differences. Access it through the “Crypto” tab in the screener section. You can filter by exchange like Binance, Coinbase, or Kraken.

Common crypto screening criteria I use include volume above average and RSI conditions. I also check price relative to moving averages. Volume filtering is essential for crypto due to liquidity concerns.

You can screen by “quote currency” to show all coins paired with USDT or BTC. For crypto specifically, I pay more attention to volume filters. Low-volume crypto can have massive spreads and slippage.

Fundamental filters look at financial statement data like P/E ratios and revenue growth. They also include profit margins, debt levels, dividend yields, and earnings per share. These tell you about the company’s financial health and valuation.

Technical filters analyze price action and chart patterns. They include RSI levels, moving average positions, volume patterns, and MACD signals. These indicate market sentiment and momentum.

I typically start with fundamentals to identify quality companies. Then I apply technical filters to those results for entry timing. The combination gives you quality opportunities with favorable technical setups.

Create and save multiple filter combinations for different purposes. I have a “morning momentum” scan for stocks up more than 3% pre-market. I also use an “oversold bounce” scan and a “breakout watch” scan.

To save these in TradingView, set your filter criteria and click the “Save” button. Name your screen for easy reference. Each morning, I run all three saved scans in about 10 minutes total.

I review the 15-20 results combined and add interesting candidates to my watchlist. The key is consistency—run the same scans at the same time daily. This helps you develop pattern recognition for what typically works.

Absolutely, and this is where the screener becomes powerful for technical traders. You can filter based on indicator conditions and even indicator relationships. For moving average crossovers specifically, use filters like “SMA20 crosses above SMA50.”

You can also set conditions where “SMA20 value > SMA50 value” and check previous values. This confirms the crossover happened recently rather than weeks ago.

Advanced techniques involve layering multiple timeframes and using custom Pine Script indicators in filters. One approach I use: screen on daily timeframe criteria but verify the weekly chart shows alignment. This confirms the bigger trend before taking action.

Another advanced technique is relative strength screening. Compare a stock’s performance to its sector ETF by filtering for stocks outperforming their sector. You can also create custom indicators in Pine Script that encode complex patterns.

The screener’s “Compare” function lets you screen for stocks with beta values relative to the market. I also use negative filters to exclude certain criteria. For example, screen for momentum stocks but exclude those with earnings announcements coming soon.

The most advanced technique is creating multiple related screens that function as a funnel. Start with a broad fundamental screen, then narrow with technical criteria, then add final volume confirmation. This progressively filters from hundreds to dozens to a handful of highest-probability setups.

The data accuracy is solid and comparable to broker platforms. This is especially true on paid plans with real-time feeds. TradingView sources data directly from exchanges like NYSE, NASDAQ, and international exchanges.

I’ve compared their data against my broker’s platform and rarely see meaningful discrepancies. The free tier has a 15-minute delay for US stocks. This is standard for free data and still accurate, just not current.

For real-time trading decisions, you’ll want a paid plan or cross-reference with your broker. Always double-check financial statement numbers on the company’s investor relations page. The technical data like price, volume, and chart patterns is reliably accurate.

TradingView’s “Bar Replay” feature is excellent for manual backtesting. Scroll your chart back to a historical date, say six months ago. Apply your screener criteria visually to see what would have appeared.

Mark where you would’ve entered based on your rules. Then use Bar Replay to watch the price action unfold bar by bar. Track the outcomes in a spreadsheet with entry price, exit price, and percentage gain or loss.

Over time, you’ll accumulate statistics on your screener approaches. I’ve tracked that my oversold bounce screen works about 65% of the time. This evidence from backtesting guides my position sizing and risk management.

Always check recent news immediately after a stock appears in your screener results. This context transforms data into actionable intelligence. TradingView shows news headlines directly on charts with blue markers.

If unusual volume coincides with an earnings beat or FDA approval, that’s a legitimate catalyst. If it’s unusual volume on bad news like earnings miss or regulatory issues, I avoid the stock. My routine: screener result, check last 3-5 news headlines, evaluate chart, make decision.

I also integrate external sources by keeping Seeking Alpha and Bloomberg open in other tabs. For cryptocurrency, I check CoinDesk and CoinTelegraph since crypto news moves faster. The combination of quantitative screener data plus qualitative news context gives you an edge.

The biggest mistake is using too many filters initially. This either returns zero results or creates analysis paralysis. Start with 3-4 criteria maximum, understand how each affects your results, then add complexity gradually.

Another common error: copying someone else’s filter settings from YouTube without understanding their strategy. What works for a day trader won’t work for a swing trader. Also, avoid treating screener results as buy signals by themselves.

The screener finds candidates; you still need to analyze the chart and check news. Don’t ignore the broader market context either. If the overall market is in a downtrend, your individual stock setups will likely struggle.

Finally, not backtesting your screens before using real money is asking for trouble. Spend at least a few weeks paper trading screener results. Track them in a spreadsheet before committing capital.

Yes, TradingView has mobile apps for both iOS and Android that include screener functionality. The experience is naturally more limited than the desktop version. The mobile screener lets you apply filters, view results, and see basic charts.

I use the mobile app primarily for checking watchlists and receiving alerts while away from my desk. Setting up elaborate multi-filter screens is tedious on a small screen. My workflow: create and save screener configurations on desktop, then access those saved screens from mobile.

The mobile app excels at alerts with push notifications for pre-set conditions. For serious screening work, stick with the desktop web version or dedicated app. Mobile works fine for monitoring existing setups and quick checks.

This depends entirely on your trading timeframe and strategy. For swing trading, I run my main scans once daily. This typically happens in the morning before or right after market open.

For day traders, you’d scan multiple times throughout the day. Some day traders scan every hour or even more frequently to catch intraday momentum shifts. For position traders or long-term investors, weekly scanning is often sufficient.

I have different scan frequencies for different purposes. My fundamental quality screen runs once weekly on Sundays. My technical setup scans run daily.

The key is consistency—run your scans at the same time regularly. This helps you develop reliable routines and pattern recognition. Scanning too frequently just creates noise and can lead to overtrading.

Market cap filtering is crucial for managing liquidity risk and volatility. Stocks below $300-500 million market cap can be extremely illiquid. You might find a great technical setup but not be able to enter at your desired price.

The bid-ask spreads are often wider on smaller cap stocks. Large orders can move the price significantly. I typically filter for market cap above $300 million minimum, preferably above $500 million.

There’s a trade-off though: smaller cap stocks can have bigger percentage moves. They come with substantially higher risk and volatility. My win rate is about 12% higher on stocks above $1 billion market cap.

For beginners, I strongly recommend starting with larger caps above $1 billion. Liquidity is reliable and price action is generally cleaner and more predictable.

The screener automates filtering that would take hours of manual chart reviewing. You define your criteria like RSI levels, volume thresholds, or market cap requirements. The system instantly returns only the matches.

I’ve cut my research time from several hours daily to about 30-45 minutes. I use saved filter combinations to make this happen. The screener checks every stock against your requirements simultaneously.

Start with simple, proven combinations rather than complex filters. Try a basic momentum screen with just three criteria. Look for price above the 50-day moving average, volume above average, and RSI above 50 but below 70.

This finds stocks in uptrends with participation but not yet overbought. Another beginner-friendly approach is screening for stocks near 52-week highs with increasing volume. Screen for stocks within 10-15% of their highs to catch potential breakout candidates.

Run these screens consistently for a few weeks and track results before adding complexity. I made the mistake early on of stacking too many filters. This gave me either zero results or analysis paralysis.

The tradingview stock filters free tier is genuinely functional for learning and swing trading. I used it exclusively for my first year. You get access to the screener, basic charts, standard indicators, and delayed data.

The main limitations are fewer simultaneous alerts and one saved chart layout. US stocks have a 15-minute data delay. If you’re day trading, the delay is problematic and you’ll need a paid plan.

For swing trading or position trading, delayed data is perfectly adequate. Start free, learn the platform, and develop your approach. Upgrade if you find yourself hitting the limitations.

The Essential plan removes most restrictions and adds real-time data. This becomes worth it once you’re trading with real money consistently.

The tradingview screener cryptocurrency function works similarly to stocks but with some differences. Access it through the “Crypto” tab in the screener section. You can filter by exchange like Binance, Coinbase, or Kraken.

Common crypto screening criteria I use include volume above average and RSI conditions. I also check price relative to moving averages. Volume filtering is essential for crypto due to liquidity concerns.

You can screen by “quote currency” to show all coins paired with USDT or BTC. For crypto specifically, I pay more attention to volume filters. Low-volume crypto can have massive spreads and slippage.

Fundamental filters look at financial statement data like P/E ratios and revenue growth. They also include profit margins, debt levels, dividend yields, and earnings per share. These tell you about the company’s financial health and valuation.

Technical filters analyze price action and chart patterns. They include RSI levels, moving average positions, volume patterns, and MACD signals. These indicate market sentiment and momentum.

I typically start with fundamentals to identify quality companies. Then I apply technical filters to those results for entry timing. The combination gives you quality opportunities with favorable technical setups.

Create and save multiple filter combinations for different purposes. I have a “morning momentum” scan for stocks up more than 3% pre-market. I also use an “oversold bounce” scan and a “breakout watch” scan.

To save these in TradingView, set your filter criteria and click the “Save” button. Name your screen for easy reference. Each morning, I run all three saved scans in about 10 minutes total.

I review the 15-20 results combined and add interesting candidates to my watchlist. The key is consistency—run the same scans at the same time daily. This helps you develop pattern recognition for what typically works.

Absolutely, and this is where the screener becomes powerful for technical traders. You can filter based on indicator conditions and even indicator relationships. For moving average crossovers specifically, use filters like “SMA20 crosses above SMA50.”

You can also set conditions where “SMA20 value > SMA50 value” and check previous values. This confirms the crossover happened recently rather than weeks ago.

Advanced techniques involve layering multiple timeframes and using custom Pine Script indicators in filters. One approach I use: screen on daily timeframe criteria but verify the weekly chart shows alignment. This confirms the bigger trend before taking action.

Another advanced technique is relative strength screening. Compare a stock’s performance to its sector ETF by filtering for stocks outperforming their sector. You can also create custom indicators in Pine Script that encode complex patterns.

The screener’s “Compare” function lets you screen for stocks with beta values relative to the market. I also use negative filters to exclude certain criteria. For example, screen for momentum stocks but exclude those with earnings announcements coming soon.

The most advanced technique is creating multiple related screens that function as a funnel. Start with a broad fundamental screen, then narrow with technical criteria, then add final volume confirmation. This progressively filters from hundreds to dozens to a handful of highest-probability setups.

The data accuracy is solid and comparable to broker platforms. This is especially true on paid plans with real-time feeds. TradingView sources data directly from exchanges like NYSE, NASDAQ, and international exchanges.

I’ve compared their data against my broker’s platform and rarely see meaningful discrepancies. The free tier has a 15-minute delay for US stocks. This is standard for free data and still accurate, just not current.

For real-time trading decisions, you’ll want a paid plan or cross-reference with your broker. Always double-check financial statement numbers on the company’s investor relations page. The technical data like price, volume, and chart patterns is reliably accurate.

TradingView’s “Bar Replay” feature is excellent for manual backtesting. Scroll your chart back to a historical date, say six months ago. Apply your screener criteria visually to see what would have appeared.

Mark where you would’ve entered based on your rules. Then use Bar Replay to watch the price action unfold bar by bar. Track the outcomes in a spreadsheet with entry price, exit price, and percentage gain or loss.

Over time, you’ll accumulate statistics on your screener approaches. I’ve tracked that my oversold bounce screen works about 65% of the time. This evidence from backtesting guides my position sizing and risk management.

Always check recent news immediately after a stock appears in your screener results. This context transforms data into actionable intelligence. TradingView shows news headlines directly on charts with blue markers.

If unusual volume coincides with an earnings beat or FDA approval, that’s a legitimate catalyst. If it’s unusual volume on bad news like earnings miss or regulatory issues, I avoid the stock. My routine: screener result, check last 3-5 news headlines, evaluate chart, make decision.

I also integrate external sources by keeping Seeking Alpha and Bloomberg open in other tabs. For cryptocurrency, I check CoinDesk and CoinTelegraph since crypto news moves faster. The combination of quantitative screener data plus qualitative news context gives you an edge.

The biggest mistake is using too many filters initially. This either returns zero results or creates analysis paralysis. Start with 3-4 criteria maximum, understand how each affects your results, then add complexity gradually.

Another common error: copying someone else’s filter settings from YouTube without understanding their strategy. What works for a day trader won’t work for a swing trader. Also, avoid treating screener results as buy signals by themselves.

The screener finds candidates; you still need to analyze the chart and check news. Don’t ignore the broader market context either. If the overall market is in a downtrend, your individual stock setups will likely struggle.

Finally, not backtesting your screens before using real money is asking for trouble. Spend at least a few weeks paper trading screener results. Track them in a spreadsheet before committing capital.

Yes, TradingView has mobile apps for both iOS and Android that include screener functionality. The experience is naturally more limited than the desktop version. The mobile screener lets you apply filters, view results, and see basic charts.

I use the mobile app primarily for checking watchlists and receiving alerts while away from my desk. Setting up elaborate multi-filter screens is tedious on a small screen. My workflow: create and save screener configurations on desktop, then access those saved screens from mobile.

The mobile app excels at alerts with push notifications for pre-set conditions. For serious screening work, stick with the desktop web version or dedicated app. Mobile works fine for monitoring existing setups and quick checks.

This depends entirely on your trading timeframe and strategy. For swing trading, I run my main scans once daily. This typically happens in the morning before or right after market open.

For day traders, you’d scan multiple times throughout the day. Some day traders scan every hour or even more frequently to catch intraday momentum shifts. For position traders or long-term investors, weekly scanning is often sufficient.

I have different scan frequencies for different purposes. My fundamental quality screen runs once weekly on Sundays. My technical setup scans run daily.

The key is consistency—run your scans at the same time regularly. This helps you develop reliable routines and pattern recognition. Scanning too frequently just creates noise and can lead to overtrading.

Market cap filtering is crucial for managing liquidity risk and volatility. Stocks below $300-500 million market cap can be extremely illiquid. You might find a great technical setup but not be able to enter at your desired price.

The bid-ask spreads are often wider on smaller cap stocks. Large orders can move the price significantly. I typically filter for market cap above $300 million minimum, preferably above $500 million.

There’s a trade-off though: smaller cap stocks can have bigger percentage moves. They come with substantially higher risk and volatility. My win rate is about 12% higher on stocks above $1 billion market cap.

For beginners, I strongly recommend starting with larger caps above $1 billion. Liquidity is reliable and price action is generally cleaner and more predictable.

The screener automates filtering that would take hours of manual chart reviewing. You define your criteria like RSI levels, volume thresholds, or market cap requirements. The system instantly returns only the matches.

I’ve cut my research time from several hours daily to about 30-45 minutes. I use saved filter combinations to make this happen. The screener checks every stock against your requirements simultaneously.

Start with simple, proven combinations rather than complex filters. Try a basic momentum screen with just three criteria. Look for price above the 50-day moving average, volume above average, and RSI above 50 but below 70.

This finds stocks in uptrends with participation but not yet overbought. Another beginner-friendly approach is screening for stocks near 52-week highs with increasing volume. Screen for stocks within 10-15% of their highs to catch potential breakout candidates.

Run these screens consistently for a few weeks and track results before adding complexity. I made the mistake early on of stacking too many filters. This gave me either zero results or analysis paralysis.

The tradingview stock filters free tier is genuinely functional for learning and swing trading. I used it exclusively for my first year. You get access to the screener, basic charts, standard indicators, and delayed data.

The main limitations are fewer simultaneous alerts and one saved chart layout. US stocks have a 15-minute data delay. If you’re day trading, the delay is problematic and you’ll need a paid plan.

For swing trading or position trading, delayed data is perfectly adequate. Start free, learn the platform, and develop your approach. Upgrade if you find yourself hitting the limitations.

The Essential plan removes most restrictions and adds real-time data. This becomes worth it once you’re trading with real money consistently.

The tradingview screener cryptocurrency function works similarly to stocks but with some differences. Access it through the “Crypto” tab in the screener section. You can filter by exchange like Binance, Coinbase, or Kraken.

Common crypto screening criteria I use include volume above average and RSI conditions. I also check price relative to moving averages. Volume filtering is essential for crypto due to liquidity concerns.

You can screen by “quote currency” to show all coins paired with USDT or BTC. For crypto specifically, I pay more attention to volume filters. Low-volume crypto can have massive spreads and slippage.

Fundamental filters look at financial statement data like P/E ratios and revenue growth. They also include profit margins, debt levels, dividend yields, and earnings per share. These tell you about the company’s financial health and valuation.

Technical filters analyze price action and chart patterns. They include RSI levels, moving average positions, volume patterns, and MACD signals. These indicate market sentiment and momentum.

I typically start with fundamentals to identify quality companies. Then I apply technical filters to those results for entry timing. The combination gives you quality opportunities with favorable technical setups.

Create and save multiple filter combinations for different purposes. I have a “morning momentum” scan for stocks up more than 3% pre-market. I also use an “oversold bounce” scan and a “breakout watch” scan.

To save these in TradingView, set your filter criteria and click the “Save” button. Name your screen for easy reference. Each morning, I run all three saved scans in about 10 minutes total.

I review the 15-20 results combined and add interesting candidates to my watchlist. The key is consistency—run the same scans at the same time daily. This helps you develop pattern recognition for what typically works.

Absolutely, and this is where the screener becomes powerful for technical traders. You can filter based on indicator conditions and even indicator relationships. For moving average crossovers specifically, use filters like “SMA20 crosses above SMA50.”

You can also set conditions where “SMA20 value > SMA50 value” and check previous values. This confirms the crossover happened recently rather than weeks ago.

Advanced techniques involve layering multiple timeframes and using custom Pine Script indicators in filters. One approach I use: screen on daily timeframe criteria but verify the weekly chart shows alignment. This confirms the bigger trend before taking action.

Another advanced technique is relative strength screening. Compare a stock’s performance to its sector ETF by filtering for stocks outperforming their sector. You can also create custom indicators in Pine Script that encode complex patterns.

The screener’s “Compare” function lets you screen for stocks with beta values relative to the market. I also use negative filters to exclude certain criteria. For example, screen for momentum stocks but exclude those with earnings announcements coming soon.

The most advanced technique is creating multiple related screens that function as a funnel. Start with a broad fundamental screen, then narrow with technical criteria, then add final volume confirmation. This progressively filters from hundreds to dozens to a handful of highest-probability setups.

The data accuracy is solid and comparable to broker platforms. This is especially true on paid plans with real-time feeds. TradingView sources data directly from exchanges like NYSE, NASDAQ, and international exchanges.

I’ve compared their data against my broker’s platform and rarely see meaningful discrepancies. The free tier has a 15-minute delay for US stocks. This is standard for free data and still accurate, just not current.

For real-time trading decisions, you’ll want a paid plan or cross-reference with your broker. Always double-check financial statement numbers on the company’s investor relations page. The technical data like price, volume, and chart patterns is reliably accurate.

TradingView’s “Bar Replay” feature is excellent for manual backtesting. Scroll your chart back to a historical date, say six months ago. Apply your screener criteria visually to see what would have appeared.

Mark where you would’ve entered based on your rules. Then use Bar Replay to watch the price action unfold bar by bar. Track the outcomes in a spreadsheet with entry price, exit price, and percentage gain or loss.

Over time, you’ll accumulate statistics on your screener approaches. I’ve tracked that my oversold bounce screen works about 65% of the time. This evidence from backtesting guides my position sizing and risk management.

Always check recent news immediately after a stock appears in your screener results. This context transforms data into actionable intelligence. TradingView shows news headlines directly on charts with blue markers.

If unusual volume coincides with an earnings beat or FDA approval, that’s a legitimate catalyst. If it’s unusual volume on bad news like earnings miss or regulatory issues, I avoid the stock. My routine: screener result, check last 3-5 news headlines, evaluate chart, make decision.

I also integrate external sources by keeping Seeking Alpha and Bloomberg open in other tabs. For cryptocurrency, I check CoinDesk and CoinTelegraph since crypto news moves faster. The combination of quantitative screener data plus qualitative news context gives you an edge.

The biggest mistake is using too many filters initially. This either returns zero results or creates analysis paralysis. Start with 3-4 criteria maximum, understand how each affects your results, then add complexity gradually.

Another common error: copying someone else’s filter settings from YouTube without understanding their strategy. What works for a day trader won’t work for a swing trader. Also, avoid treating screener results as buy signals by themselves.

The screener finds candidates; you still need to analyze the chart and check news. Don’t ignore the broader market context either. If the overall market is in a downtrend, your individual stock setups will likely struggle.

Finally, not backtesting your screens before using real money is asking for trouble. Spend at least a few weeks paper trading screener results. Track them in a spreadsheet before committing capital.

Yes, TradingView has mobile apps for both iOS and Android that include screener functionality. The experience is naturally more limited than the desktop version. The mobile screener lets you apply filters, view results, and see basic charts.

I use the mobile app primarily for checking watchlists and receiving alerts while away from my desk. Setting up elaborate multi-filter screens is tedious on a small screen. My workflow: create and save screener configurations on desktop, then access those saved screens from mobile.

The mobile app excels at alerts with push notifications for pre-set conditions. For serious screening work, stick with the desktop web version or dedicated app. Mobile works fine for monitoring existing setups and quick checks.

This depends entirely on your trading timeframe and strategy. For swing trading, I run my main scans once daily. This typically happens in the morning before or right after market open.

For day traders, you’d scan multiple times throughout the day. Some day traders scan every hour or even more frequently to catch intraday momentum shifts. For position traders or long-term investors, weekly scanning is often sufficient.

I have different scan frequencies for different purposes. My fundamental quality screen runs once weekly on Sundays. My technical setup scans run daily.

The key is consistency—run your scans at the same time regularly. This helps you develop reliable routines and pattern recognition. Scanning too frequently just creates noise and can lead to overtrading.

Market cap filtering is crucial for managing liquidity risk and volatility. Stocks below $300-500 million market cap can be extremely illiquid. You might find a great technical setup but not be able to enter at your desired price.

The bid-ask spreads are often wider on smaller cap stocks. Large orders can move the price significantly. I typically filter for market cap above $300 million minimum, preferably above $500 million.

There’s a trade-off though: smaller cap stocks can have bigger percentage moves. They come with substantially higher risk and volatility. My win rate is about 12% higher on stocks above $1 billion market cap.

For beginners, I strongly recommend starting with larger caps above $1 billion. Liquidity is reliable and price action is generally cleaner and more predictable.

The screener automates filtering that would take hours of manual chart reviewing. You define your criteria like RSI levels, volume thresholds, or market cap requirements. The system instantly returns only the matches.

I’ve cut my research time from several hours daily to about 30-45 minutes. I use saved filter combinations to make this happen. The screener checks every stock against your requirements simultaneously.

Start with simple, proven combinations rather than complex filters. Try a basic momentum screen with just three criteria. Look for price above the 50-day moving average, volume above average, and RSI above 50 but below 70.

This finds stocks in uptrends with participation but not yet overbought. Another beginner-friendly approach is screening for stocks near 52-week highs with increasing volume. Screen for stocks within 10-15% of their highs to catch potential breakout candidates.

Run these screens consistently for a few weeks and track results before adding complexity. I made the mistake early on of stacking too many filters. This gave me either zero results or analysis paralysis.

The tradingview stock filters free tier is genuinely functional for learning and swing trading. I used it exclusively for my first year. You get access to the screener, basic charts, standard indicators, and delayed data.

The main limitations are fewer simultaneous alerts and one saved chart layout. US stocks have a 15-minute data delay. If you’re day trading, the delay is problematic and you’ll need a paid plan.

For swing trading or position trading, delayed data is perfectly adequate. Start free, learn the platform, and develop your approach. Upgrade if you find yourself hitting the limitations.

The Essential plan removes most restrictions and adds real-time data. This becomes worth it once you’re trading with real money consistently.

The tradingview screener cryptocurrency function works similarly to stocks but with some differences. Access it through the “Crypto” tab in the screener section. You can filter by exchange like Binance, Coinbase, or Kraken.

Common crypto screening criteria I use include volume above average and RSI conditions. I also check price relative to moving averages. Volume filtering is essential for crypto due to liquidity concerns.

You can screen by “quote currency” to show all coins paired with USDT or BTC. For crypto specifically, I pay more attention to volume filters. Low-volume crypto can have massive spreads and slippage.

Fundamental filters look at financial statement data like P/E ratios and revenue growth. They also include profit margins, debt levels, dividend yields, and earnings per share. These tell you about the company’s financial health and valuation.

Technical filters analyze price action and chart patterns. They include RSI levels, moving average positions, volume patterns, and MACD signals. These indicate market sentiment and momentum.

I typically start with fundamentals to identify quality companies. Then I apply technical filters to those results for entry timing. The combination gives you quality opportunities with favorable technical setups.

Create and save multiple filter combinations for different purposes. I have a “morning momentum” scan for stocks up more than 3% pre-market. I also use an “oversold bounce” scan and a “breakout watch” scan.

To save these in TradingView, set your filter criteria and click the “Save” button. Name your screen for easy reference. Each morning, I run all three saved scans in about 10 minutes total.

I review the 15-20 results combined and add interesting candidates to my watchlist. The key is consistency—run the same scans at the same time daily. This helps you develop pattern recognition for what typically works.

Absolutely, and this is where the screener becomes powerful for technical traders. You can filter based on indicator conditions and even indicator relationships. For moving average crossovers specifically, use filters like “SMA20 crosses above SMA50.”

You can also set conditions where “SMA20 value > SMA50 value” and check previous values. This confirms the crossover happened recently rather than weeks ago.

Advanced techniques involve layering multiple timeframes and using custom Pine Script indicators in filters. One approach I use: screen on daily timeframe criteria but verify the weekly chart shows alignment. This confirms the bigger trend before taking action.

Another advanced technique is relative strength screening. Compare a stock’s performance to its sector ETF by filtering for stocks outperforming their sector. You can also create custom indicators in Pine Script that encode complex patterns.

The screener’s “Compare” function lets you screen for stocks with beta values relative to the market. I also use negative filters to exclude certain criteria. For example, screen for momentum stocks but exclude those with earnings announcements coming soon.

The most advanced technique is creating multiple related screens that function as a funnel. Start with a broad fundamental screen, then narrow with technical criteria, then add final volume confirmation. This progressively filters from hundreds to dozens to a handful of highest-probability setups.

The data accuracy is solid and comparable to broker platforms. This is especially true on paid plans with real-time feeds. TradingView sources data directly from exchanges like NYSE, NASDAQ, and international exchanges.

I’ve compared their data against my broker’s platform and rarely see meaningful discrepancies. The free tier has a 15-minute delay for US stocks. This is standard for free data and still accurate, just not current.

For real-time trading decisions, you’ll want a paid plan or cross-reference with your broker. Always double-check financial statement numbers on the company’s investor relations page. The technical data like price, volume, and chart patterns is reliably accurate.

TradingView’s “Bar Replay” feature is excellent for manual backtesting. Scroll your chart back to a historical date, say six months ago. Apply your screener criteria visually to see what would have appeared.

Mark where you would’ve entered based on your rules. Then use Bar Replay to watch the price action unfold bar by bar. Track the outcomes in a spreadsheet with entry price, exit price, and percentage gain or loss.

Over time, you’ll accumulate statistics on your screener approaches. I’ve tracked that my oversold bounce screen works about 65% of the time. This evidence from backtesting guides my position sizing and risk management.

Always check recent news immediately after a stock appears in your screener results. This context transforms data into actionable intelligence. TradingView shows news headlines directly on charts with blue markers.

If unusual volume coincides with an earnings beat or FDA approval, that’s a legitimate catalyst. If it’s unusual volume on bad news like earnings miss or regulatory issues, I avoid the stock. My routine: screener result, check last 3-5 news headlines, evaluate chart, make decision.

I also integrate external sources by keeping Seeking Alpha and Bloomberg open in other tabs. For cryptocurrency, I check CoinDesk and CoinTelegraph since crypto news moves faster. The combination of quantitative screener data plus qualitative news context gives you an edge.

The biggest mistake is using too many filters initially. This either returns zero results or creates analysis paralysis. Start with 3-4 criteria maximum, understand how each affects your results, then add complexity gradually.

Another common error: copying someone else’s filter settings from YouTube without understanding their strategy. What works for a day trader won’t work for a swing trader. Also, avoid treating screener results as buy signals by themselves.

The screener finds candidates; you still need to analyze the chart and check news. Don’t ignore the broader market context either. If the overall market is in a downtrend, your individual stock setups will likely struggle.

Finally, not backtesting your screens before using real money is asking for trouble. Spend at least a few weeks paper trading screener results. Track them in a spreadsheet before committing capital.

Yes, TradingView has mobile apps for both iOS and Android that include screener functionality. The experience is naturally more limited than the desktop version. The mobile screener lets you apply filters, view results, and see basic charts.

I use the mobile app primarily for checking watchlists and receiving alerts while away from my desk. Setting up elaborate multi-filter screens is tedious on a small screen. My workflow: create and save screener configurations on desktop, then access those saved screens from mobile.

The mobile app excels at alerts with push notifications for pre-set conditions. For serious screening work, stick with the desktop web version or dedicated app. Mobile works fine for monitoring existing setups and quick checks.

This depends entirely on your trading timeframe and strategy. For swing trading, I run my main scans once daily. This typically happens in the morning before or right after market open.

For day traders, you’d scan multiple times throughout the day. Some day traders scan every hour or even more frequently to catch intraday momentum shifts. For position traders or long-term investors, weekly scanning is often sufficient.

I have different scan frequencies for different purposes. My fundamental quality screen runs once weekly on Sundays. My technical setup scans run daily.

The key is consistency—run your scans at the same time regularly. This helps you develop reliable routines and pattern recognition. Scanning too frequently just creates noise and can lead to overtrading.

Market cap filtering is crucial for managing liquidity risk and volatility. Stocks below $300-500 million market cap can be extremely illiquid. You might find a great technical setup but not be able to enter at your desired price.

The bid-ask spreads are often wider on smaller cap stocks. Large orders can move the price significantly. I typically filter for market cap above $300 million minimum, preferably above $500 million.

There’s a trade-off though: smaller cap stocks can have bigger percentage moves. They come with substantially higher risk and volatility. My win rate is about 12% higher on stocks above $1 billion market cap.

For beginners, I strongly recommend starting with larger caps above $1 billion. Liquidity is reliable and price action is generally cleaner and more predictable.

The screener automates filtering that would take hours of manual chart reviewing. You define your criteria like RSI levels, volume thresholds, or market cap requirements. The system instantly returns only the matches.

I’ve cut my research time from several hours daily to about 30-45 minutes. I use saved filter combinations to make this happen. The screener checks every stock against your requirements simultaneously.

Start with simple, proven combinations rather than complex filters. Try a basic momentum screen with just three criteria. Look for price above the 50-day moving average, volume above average, and RSI above 50 but below 70.

This finds stocks in uptrends with participation but not yet overbought. Another beginner-friendly approach is screening for stocks near 52-week highs with increasing volume. Screen for stocks within 10-15% of their highs to catch potential breakout candidates.

Run these screens consistently for a few weeks and track results before adding complexity. I made the mistake early on of stacking too many filters. This gave me either zero results or analysis paralysis.

The tradingview stock filters free tier is genuinely functional for learning and swing trading. I used it exclusively for my first year. You get access to the screener, basic charts, standard indicators, and delayed data.

The main limitations are fewer simultaneous alerts and one saved chart layout. US stocks have a 15-minute data delay. If you’re day trading, the delay is problematic and you’ll need a paid plan.

For swing trading or position trading, delayed data is perfectly adequate. Start free, learn the platform, and develop your approach. Upgrade if you find yourself hitting the limitations.

The Essential plan removes most restrictions and adds real-time data. This becomes worth it once you’re trading with real money consistently.

The tradingview screener cryptocurrency function works similarly to stocks but with some differences. Access it through the “Crypto” tab in the screener section. You can filter by exchange like Binance, Coinbase, or Kraken.

Common crypto screening criteria I use include volume above average and RSI conditions. I also check price relative to moving averages. Volume filtering is essential for crypto due to liquidity concerns.

You can screen by “quote currency” to show all coins paired with USDT or BTC. For crypto specifically, I pay more attention to volume filters. Low-volume crypto can have massive spreads and slippage.

Fundamental filters look at financial statement data like P/E ratios and revenue growth. They also include profit margins, debt levels, dividend yields, and earnings per share. These tell you about the company’s financial health and valuation.

Technical filters analyze price action and chart patterns. They include RSI levels, moving average positions, volume patterns, and MACD signals. These indicate market sentiment and momentum.

I typically start with fundamentals to identify quality companies. Then I apply technical filters to those results for entry timing. The combination gives you quality opportunities with favorable technical setups.

Create and save multiple filter combinations for different purposes. I have a “morning momentum” scan for stocks up more than 3% pre-market. I also use an “oversold bounce” scan and a “breakout watch” scan.

To save these in TradingView, set your filter criteria and click the “Save” button. Name your screen for easy reference. Each morning, I run all three saved scans in about 10 minutes total.

I review the 15-20 results combined and add interesting candidates to my watchlist. The key is consistency—run the same scans at the same time daily. This helps you develop pattern recognition for what typically works.

Absolutely, and this is where the screener becomes powerful for technical traders. You can filter based on indicator conditions and even indicator relationships. For moving average crossovers specifically, use filters like “SMA20 crosses above SMA50.”

You can also set conditions where “SMA20 value > SMA50 value” and check previous values. This confirms the crossover happened recently rather than weeks ago.

Advanced techniques involve layering multiple timeframes and using custom Pine Script indicators in filters. One approach I use: screen on daily timeframe criteria but verify the weekly chart shows alignment. This confirms the bigger trend before taking action.

Another advanced technique is relative strength screening. Compare a stock’s performance to its sector ETF by filtering for stocks outperforming their sector. You can also create custom indicators in Pine Script that encode complex patterns.

The screener’s “Compare” function lets you screen for stocks with beta values relative to the market. I also use negative filters to exclude certain criteria. For example, screen for momentum stocks but exclude those with earnings announcements coming soon.

The most advanced technique is creating multiple related screens that function as a funnel. Start with a broad fundamental screen, then narrow with technical criteria, then add final volume confirmation. This progressively filters from hundreds to dozens to a handful of highest-probability setups.

The data accuracy is solid and comparable to broker platforms. This is especially true on paid plans with real-time feeds. TradingView sources data directly from exchanges like NYSE, NASDAQ, and international exchanges.

I’ve compared their data against my broker’s platform and rarely see meaningful discrepancies. The free tier has a 15-minute delay for US stocks. This is standard for free data and still accurate, just not current.

For real-time trading decisions, you’ll want a paid plan or cross-reference with your broker. Always double-check financial statement numbers on the company’s investor relations page. The technical data like price, volume, and chart patterns is reliably accurate.

TradingView’s “Bar Replay” feature is excellent for manual backtesting. Scroll your chart back to a historical date, say six months ago. Apply your screener criteria visually to see what would have appeared.

Mark where you would’ve entered based on your rules. Then use Bar Replay to watch the price action unfold bar by bar. Track the outcomes in a spreadsheet with entry price, exit price, and percentage gain or loss.

Over time, you’ll accumulate statistics on your screener approaches. I’ve tracked that my oversold bounce screen works about 65% of the time. This evidence from backtesting guides my position sizing and risk management.

Always check recent news immediately after a stock appears in your screener results. This context transforms data into actionable intelligence. TradingView shows news headlines directly on charts with blue markers.

If unusual volume coincides with an earnings beat or FDA approval, that’s a legitimate catalyst. If it’s unusual volume on bad news like earnings miss or regulatory issues, I avoid the stock. My routine: screener result, check last 3-5 news headlines, evaluate chart, make decision.

I also integrate external sources by keeping Seeking Alpha and Bloomberg open in other tabs. For cryptocurrency, I check CoinDesk and CoinTelegraph since crypto news moves faster. The combination of quantitative screener data plus qualitative news context gives you an edge.

The biggest mistake is using too many filters initially. This either returns zero results or creates analysis paralysis. Start with 3-4 criteria maximum, understand how each affects your results, then add complexity gradually.

Another common error: copying someone else’s filter settings from YouTube without understanding their strategy. What works for a day trader won’t work for a swing trader. Also, avoid treating screener results as buy signals by themselves.

The screener finds candidates; you still need to analyze the chart and check news. Don’t ignore the broader market context either. If the overall market is in a downtrend, your individual stock setups will likely struggle.

Finally, not backtesting your screens before using real money is asking for trouble. Spend at least a few weeks paper trading screener results. Track them in a spreadsheet before committing capital.

Yes, TradingView has mobile apps for both iOS and Android that include screener functionality. The experience is naturally more limited than the desktop version. The mobile screener lets you apply filters, view results, and see basic charts.

I use the mobile app primarily for checking watchlists and receiving alerts while away from my desk. Setting up elaborate multi-filter screens is tedious on a small screen. My workflow: create and save screener configurations on desktop, then access those saved screens from mobile.

The mobile app excels at alerts with push notifications for pre-set conditions. For serious screening work, stick with the desktop web version or dedicated app. Mobile works fine for monitoring existing setups and quick checks.

This depends entirely on your trading timeframe and strategy. For swing trading, I run my main scans once daily. This typically happens in the morning before or right after market open.

For day traders, you’d scan multiple times throughout the day. Some day traders scan every hour or even more frequently to catch intraday momentum shifts. For position traders or long-term investors, weekly scanning is often sufficient.

I have different scan frequencies for different purposes. My fundamental quality screen runs once weekly on Sundays. My technical setup scans run daily.

The key is consistency—run your scans at the same time regularly. This helps you develop reliable routines and pattern recognition. Scanning too frequently just creates noise and can lead to overtrading.

Market cap filtering is crucial for managing liquidity risk and volatility. Stocks below $300-500 million market cap can be extremely illiquid. You might find a great technical setup but not be able to enter at your desired price.

The bid-ask spreads are often wider on smaller cap stocks. Large orders can move the price significantly. I typically filter for market cap above $300 million minimum, preferably above $500 million.

There’s a trade-off though: smaller cap stocks can have bigger percentage moves. They come with substantially higher risk and volatility. My win rate is about 12% higher on stocks above $1 billion market cap.

For beginners, I strongly recommend starting with larger caps above $1 billion. Liquidity is reliable and price action is generally cleaner and more predictable.