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1. Shard Calculation

Query:

Response:

Calculated Shard: 132 (from laksa103)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa132.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.barchart.com/stocks/quotes/SE/technical-analysis\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.barchart.com/stocks/quotes/SE/technical-analysis\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.barchart.com\/stocks\/quotes\/SE\/technical-analysis","crawl_time":1767251842,"first_indexed_time":1536006391,"http_code":200,"src_unparsed":"com,barchart!www,\/stocks\/quotes\/SE\/technical-analysis s443","src_root_hash":"514395603518954132","history_drop_reason":null,"meta_title":"SE Technical Analysis for Sea Ltd ADR Stock - Barchart.com","meta_descriptions":["Technical Analysis Summary for Sea Ltd ADR with Moving Average, Stochastics, MACD, RSI, Average Volume."],"attrs_boilerpipe_text":"The Technical Analysis page contains the results of 16 common technical analytics over different periods of time. The analytics are:\nMoving Average\nPrice Change\nPercent Change\nAverage Volume\nThe \nMoving Average\n is the average price of the security or contract for the Period shown. For example, a 9-period moving average is the average of the closing prices for the past 9 periods, including the current period. For intraday data the current price is used in place of the closing price.\nThe moving average is used to observe price changes. The effect of the moving average is to smooth the price movement so that the longer-term trend becomes less volatile and therefore more obvious. When the price rises above the moving average, it indicates that investors are becoming bullish on the commodity. When the price falls below, it indicates a bearish commodity. As well, when a moving average crosses below a longer-term moving average, the study indicates a down turn in the market. When a short-term moving average crosses above a longer term moving average, this indicates an upswing in the market. The longer the period of the moving average, the smoother the price movement is. Longer moving averages are used to isolate long-term trends.\nThe \nPrice Change\n and associated \nPercent Change\n is the difference between the current Last Price, and the Last Price from the Period shown.\nThe \nAverage Volume\n figure is the average for the security or individual contract (for commodities) over the specified period of time.\nRaw Stochastic\nStochastic %K\nStochastics %D\nRelative Strength\nThe stochastic values simply represent the position of the market on a percentage basis versus its range over the previous n-period sessions. The percentage scale runs from zero to 100%. The Stochastic Indicator shows where a security's price closed in relation to its price range over the specified time period. There are three primary stochastic values:\nRaw Stochastic\n - the most basic value representing the stochastic value for each period. This is also referred to as raw K.\nStochastic\n \n%K\n - the first smoothing of the raw stochastic, usually with a 3-period exponential moving average.\nStochastic\n \n%D\n - the smoothing of the %k value, usually with another 3-period exponential moving average. Also known as slow K.\nThe\nRelative Strength Index (RSI\n) is one of the most popular overbought\/oversold (OB\/OS) indicators. The RSI is basically an internal strength index which is adjusted on a daily basis by the amount by which the market rose or fell. It is most commonly used to show when a market has topped or bottomed. A high RSI occurs when the market has been rallying sharply and a low RSI occurs when the market has been selling off sharply. The RSI is expressed as a 2 decimal number, and ranges from zero to 100.\nAverage True Range\nAverage True Range %\nAverage Daily Range\nAverage Daily Range %\nAverage True Range (ATR) is a moving average of trading ranges over a given period. High values often occur at market bottoms following a \"panic\" sell-off while low values are often found during extended sideways periods, such as those found at tops and after consolidation periods.\nThe Average True Range is the greatest of the following:\nThe price difference from today's high to today's low.\nThe price difference from yesterday's close to today's high.\nThe price difference from yesterday's close to today's low.\nAverage True Range %\n- The Average Daily Range Percent (ADRP) is a volatility indicator, calculated by dividing the average daily range by the current price. The higher the value the more volatile the underlying security, and elevated values can often precede price reversals. ADRP is often used for swing and day trading to security with a large trading range.\nAverage Daily Range\n- High Average Daily Range (ADR) values often occur at market bottoms following a \"panic\" sell-off. Low Average Daily Range values are often found during extended sideways periods, such as those found at tops and after consolidation periods. The Daily True Range indicator is the price difference from today's high to today's low.\nAverage Daily Range %\n- A measurement of volatility,\nAverage Daily Range Percent (\nADRP) is calculated by dividing the given period Average Daily Range by the underlying closing price, expressed as a percentage.\nAverage Directional Index\nPositive Directional Index (+DI)\nNegative Directional Index (-DI) \nHistoric Volatility \nAverage Directional Index\n- The Average Directional Index Technical Indicator (ADX) helps to determine if there is a price trend in the underlying market. A value below 20 means the market is not trending, where as a value above 25 means the market is trending. A higher value indicates a stronger trend.\nPositive Directional Index (+DI) -\nThe Positive Direction Index (+DI) is used to determine the presence of an up-trend, and is used in conjunction with a high ADX reading, and a value greater than the corresponding -DI reading, to help determine a dominate up-trend.\nNegative Directional Index (-DI) -\nThe Negative Direction Index (-DI) is used to determine the presence of an down-trend, and is used in conjunction with a high ADX reading, and a value greater than the corresponding +DI reading, to help determine a dominate down -trend.\nHistoric Volatility\nis the standard deviation of the \"price returns\" over a given number of sessions, multiplied by a factor (260 days) to produce an annualized volatility level. A \"price return\" is the natural logarithm of the percentage price changes or ln[Pt\/P(t-1)]. A volatile market therefore has a larger standard deviation and thus a higher historical volatility value. Conversely, a market with small fluctuations has a small standard deviation and a low historical volatility value. Historical volatility is available on a daily chart, and on the Technicals Summary page for an individual ticker symbol\/commodity contract. Historical volatility can also be used as a tool by traders who are trading only the underlying instrument. Quantifying the volatility in a market can affect a trader's perception of how far the market can move and thus provides some help in making price projections and placing orders. High volatility may indicate a trend reversal as heavy buying\/selling comes into the market and may sharp price reversals.\nTechnicals are calculated and updated every 20 minutes during the trading day using delayed market data.\nAlerts on Technicals\nBarchart Premier users can set Alerts on Technicals. Alerts are triggered using the same delayed data (calculated every 20 minutes) as shown on this page.s","attrs_markdown":"![Barchart.com](https:\/\/assets.barchart.com\/img\/pdf_logo.svg)\n\nYour browser of choice has not been tested for use with Barchart.com. If you have issues, please download one of the browsers listed [here](http:\/\/outdatedbrowser.com\/en).\n\nJump-Start Your Search For Promising Trade Ideas With Barchart Premier’s \"Top Stock Pick\". 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[Top Signal Direction](https:\/\/www.barchart.com\/stocks\/signals\/direction)\n  - [Stock Signal Upgrades](https:\/\/www.barchart.com\/stocks\/signals)\n  \n  Sectors\n  \n  - [Stock Market Sectors](https:\/\/www.barchart.com\/stocks\/sectors\/rankings)\n  - [Major Markets Heat Map](https:\/\/www.barchart.com\/stocks\/sectors\/sectors-heat-map)\n  - [Industry Rankings](https:\/\/www.barchart.com\/stocks\/sectors\/industry-rankings)\n  - [Industry Heat Map](https:\/\/www.barchart.com\/stocks\/sectors\/industry-heat-map)\n  - [Industry Performance](https:\/\/www.barchart.com\/stocks\/sectors\/industry-performance)\n  - [Stocks by Grouping](https:\/\/www.barchart.com\/stocks\/sectors\/stocks-by-sector)\n- [Options]()   [Options](https:\/\/www.barchart.com\/options)\n  Market Pulse\n  \n  - [Options Market Overview](https:\/\/www.barchart.com\/options)\n  - [Unusual Options Activity](https:\/\/www.barchart.com\/options\/unusual-activity)\n  - [Options Flow](https:\/\/www.barchart.com\/options\/options-flow)\n  - [Upcoming Earnings](https:\/\/www.barchart.com\/options\/upcoming-earnings)\n  \n  Volatility\n  \n  - [IV Rank and IV Percentile](https:\/\/www.barchart.com\/options\/iv-rank-percentile)\n  - [Implied vs Realized Vol](https:\/\/www.barchart.com\/options\/implied-volatility-range)\n  - [Highest Implied Volatility](https:\/\/www.barchart.com\/options\/highest-implied-volatility)\n  - [%Change in Volatility](https:\/\/www.barchart.com\/options\/volatility-percent-change)\n  \n  Volume & Open Interest\n  \n  - [Most Active Options](https:\/\/www.barchart.com\/options\/most-active)\n  - [Unusual Options Volume](https:\/\/www.barchart.com\/options\/volume-change)\n  - [Options Volume Leaders](https:\/\/www.barchart.com\/options\/volume-leaders)\n  - [Highest Open Positions](https:\/\/www.barchart.com\/options\/highest-open-positions)\n  - [Change in Open Interest](https:\/\/www.barchart.com\/options\/open-interest-change)\n  - [%Change in Open Interest](https:\/\/www.barchart.com\/options\/options-percent-change)\n  \n  Data & Tools\n  \n  - 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[Bear Put Spread](https:\/\/www.barchart.com\/options\/vertical-spreads\/bear-put-spread)\n  - [Bull Put Spread](https:\/\/www.barchart.com\/options\/vertical-spreads\/bull-put-spread)\n  \n  Protection Strategies\n  \n  - [Married Put](https:\/\/www.barchart.com\/options\/protection-strategies\/married-put)\n  - [Protective Collar](https:\/\/www.barchart.com\/options\/protection-strategies\/protective-collar)\n  \n  Straddle and Strangle\n  \n  - [Long Straddle](https:\/\/www.barchart.com\/options\/straddles-strangles\/long-straddle)\n  - [Short Straddle](https:\/\/www.barchart.com\/options\/straddles-strangles\/short-straddle)\n  - [Long Strangle](https:\/\/www.barchart.com\/options\/straddles-strangles\/long-strangle)\n  - [Short Strangle](https:\/\/www.barchart.com\/options\/straddles-strangles\/short-strangle)\n  \n  Horizontal Strategies\n  \n  - [Long Call Calendar](https:\/\/www.barchart.com\/options\/horizontal-spreads\/long-call-calendar)\n  - [Long Put Calendar](https:\/\/www.barchart.com\/options\/horizontal-spreads\/long-put-calendar)\n  - [Long Call Diagonal](https:\/\/www.barchart.com\/options\/horizontal-spreads\/long-call-diagonal)\n  - [Short Call Diagonal](https:\/\/www.barchart.com\/options\/horizontal-spreads\/short-call-diagonal)\n  - [Long Put Diagonal](https:\/\/www.barchart.com\/options\/horizontal-spreads\/long-put-diagonal)\n  - [Short Put Diagonal](https:\/\/www.barchart.com\/options\/horizontal-spreads\/short-put-diagonal)\n  \n  Butterfly Strategies\n  \n  - [Long Call Butterfly](https:\/\/www.barchart.com\/options\/butterfly-spreads\/long-call-butterfly)\n  - [Short Call Butterfly](https:\/\/www.barchart.com\/options\/butterfly-spreads\/short-call-butterfly)\n  - [Long Put Butterfly](https:\/\/www.barchart.com\/options\/butterfly-spreads\/long-put-butterfly)\n  - [Short Put Butterfly](https:\/\/www.barchart.com\/options\/butterfly-spreads\/short-put-butterfly)\n  - [Long Iron Butterfly](https:\/\/www.barchart.com\/options\/butterfly-spreads\/long-iron-butterfly)\n  - [Short Iron Butterfly](https:\/\/www.barchart.com\/options\/butterfly-spreads\/short-iron-butterfly)\n  \n  Condor Strategies\n  \n  - [Long Call Condor](https:\/\/www.barchart.com\/options\/condor-strategies\/long-call-condor)\n  - [Short Call Condor](https:\/\/www.barchart.com\/options\/condor-strategies\/short-call-condor)\n  - [Long Put Condor](https:\/\/www.barchart.com\/options\/condor-strategies\/long-put-condor)\n  - [Short Put Condor](https:\/\/www.barchart.com\/options\/condor-strategies\/short-put-condor)\n  - [Long Iron Condor](https:\/\/www.barchart.com\/options\/condor-strategies\/long-iron-condor)\n  - [Short Iron Condor](https:\/\/www.barchart.com\/options\/condor-strategies\/short-iron-condor)\n- [ETFs]()   [ETFs](https:\/\/www.barchart.com\/etfs-funds)\n  Market Pulse\n  \n  - [ETF Market Overview](https:\/\/www.barchart.com\/etfs-funds)\n  - [Popular ETFs](https:\/\/www.barchart.com\/etfs-funds\/etf-monitor)\n  - [ETF Finder](https:\/\/www.barchart.com\/etfs-funds\/etfs-by-asset-class)\n  - [Top 100 ETFs](https:\/\/www.barchart.com\/etfs-funds\/top-100-etfs)\n  - [Today's Price Surprises](https:\/\/www.barchart.com\/etfs-funds\/price-surprises)\n  - [New Highs & Lows](https:\/\/www.barchart.com\/etfs-funds\/highs-lows)\n  - [Top Dividend ETFs](https:\/\/www.barchart.com\/etfs-funds\/top-dividends-etfs)\n  - [ETF Screener](https:\/\/www.barchart.com\/etfs-funds\/etfs-screener)\n  \n  Performance Leaders\n  \n  - [Percent Change](https:\/\/www.barchart.com\/etfs-funds\/performance\/percent-change)\n  - [Price Change](https:\/\/www.barchart.com\/etfs-funds\/performance\/price-change\/advances)\n  - [Range Change](https:\/\/www.barchart.com\/etfs-funds\/performance\/range\/advances)\n  - [Gap Up & Gap Down](https:\/\/www.barchart.com\/etfs-funds\/performance\/gap\/gap-up)\n  - [3, 4, 5 Day Gainers](https:\/\/www.barchart.com\/etfs-funds\/performance\/five-day-gainers\/advances)\n  \n  Before & After Markets\n  \n  - [Pre-Market Trading](https:\/\/www.barchart.com\/etfs-funds\/pre-market-trading)\n  - [Post-Market Trading](https:\/\/www.barchart.com\/etfs-funds\/post-market-trading)\n  \n  Most Active\n  \n  - [Volume Leaders](https:\/\/www.barchart.com\/etfs-funds\/volume-leaders\/daily-leaders)\n  - [Price Volume Leaders](https:\/\/www.barchart.com\/etfs-funds\/volume-leaders\/price-leaders)\n  - [Volume Advances](https:\/\/www.barchart.com\/etfs-funds\/volume-leaders\/advances)\n  \n  Trading Signals\n  \n  - [New Recommendations](https:\/\/www.barchart.com\/etfs-funds\/signals\/new-recommendations)\n  - [Top ETFs to Own](https:\/\/www.barchart.com\/etfs-funds\/signals\/top-bottom)\n  - [Top Signal Strength](https:\/\/www.barchart.com\/etfs-funds\/signals\/direction-strength)\n  - [Top Signal Direction](https:\/\/www.barchart.com\/etfs-funds\/signals\/direction)\n  - [ETFs Signal Upgrades](https:\/\/www.barchart.com\/etfs-funds\/signals)\n  \n  Mutual Funds\n  \n  - [Today's Price Surprises](https:\/\/www.barchart.com\/etfs-funds\/mutual-funds\/most-volatile)\n  - [New Highs & Lows](https:\/\/www.barchart.com\/etfs-funds\/mutual-funds\/highs-lows)\n  - [Performance](https:\/\/www.barchart.com\/etfs-funds\/mutual-funds\/performance\/percent-change)\n  - [Price Change](https:\/\/www.barchart.com\/etfs-funds\/mutual-funds\/performance\/price-change)\n  - 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\\]\\]\n\nTechnical Analysis for \\[\\[ item.sessionDateDisplayLong \\]\\]\n\n[Notes]()\n\n[Alerts](\"Set Price Alerts\")\n\n[Watch](\"Add to Watchlist\")\n\n[Help](\"View Page Help\")\n\nGo To:\n\n| Period | Moving Average | Price Change | Percent Change | Average Volume |\n|---|---|---|---|---|\n| 5-Day | 128\\.18 | \\+1.80 | \\+1.43% | 2,514,460 |\n| 20-Day | 126\\.79 | \\-10.26 | \\-7.44% | 4,247,385 |\n| 50-Day | 139\\.42 | \\-38.13 | \\-23.01% | 4,805,860 |\n| 100-Day | 161\\.12 | \\-20.04 | \\-13.58% | 4,544,594 |\n| 200-Day | 153\\.55 | \\-5.07 | \\-3.82% | 4,575,872 |\n| Year-to-Date | 147\\.45 | \\+21.47 | \\+20.24% | 4,544,459 |\n\n| Period | Raw Stochastic | Stochastic %K | Stochastic %D | Relative Strength |\n|---|---|---|---|---|\n| 9-Day | 62\\.23% | 76\\.49% | 83\\.62% | 49\\.14 |\n| 14-Day | 63\\.95% | 77\\.06% | 72\\.15% | 44\\.62 |\n| 20-Day | 45\\.25% | 51\\.45% | 49\\.26% | 42\\.09 |\n| 50-Day | 16\\.68% | 19\\.29% | 18\\.32% | 42\\.75 |\n| 100-Day | 10\\.83% | 12\\.53% | 12\\.31% | 46\\.73 |\n\n| Period | Average True Range | Average True Range % | Average Daily Range | Average Daily Range % |\n|---|---|---|---|---|\n| 9-Day | 3\\.86 | 3\\.02% | 3\\.05 | 2\\.39% |\n| 14-Day | 4\\.38 | 3\\.43% | 3\\.72 | 2\\.92% |\n| 20-Day | 4\\.81 | 3\\.77% | 3\\.93 | 3\\.08% |\n| 50-Day | 5\\.55 | 4\\.35% | 5\\.13 | 4\\.02% |\n| 100-Day | 5\\.53 | 4\\.33% | 5\\.58 | 4\\.38% |\n\n| Period | Directional Index (ADX) | Positive Direction (+DI) | Negative Direction (-DI) | Historic Volatility |\n|---|---|---|---|---|\n| 9-Day | 31\\.41 | 21\\.94 | 19\\.14 | 39\\.77% |\n| 14-Day | 33\\.12 | 18\\.51 | 23\\.38 | 32\\.00% |\n| 20-Day | 31\\.53 | 17\\.37 | 26\\.00 | 33\\.85% |\n| 50-Day | 15\\.44 | 19\\.35 | 27\\.89 | 43\\.26% |\n| 100-Day | 10\\.22 | 22\\.17 | 26\\.73 | 49\\.04% |\n\n[Log In](https:\/\/www.barchart.com\/login)   [Sign Up]()\n\nSite News\n\n[Contact](https:\/\/www.barchart.com\/contact)\n\nMarket:\n\n- [US](\"US\")\n- [Canada](\"Canada\")\n- 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Volume reflects consolidated markets. Futures and Forex: 10 or 15 minute delay, CT. [Market Data](https:\/\/www.barchart.com\/solutions) powered by Barchart Solutions. Fundamental data provided by Zacks and [Morningstar](https:\/\/www.barchart.com\/terms#morningstar).\n\nBarchart is committed to ensuring digital accessibility for individuals with disabilities. We encourage users to [Contact Us](https:\/\/www.barchart.com\/contact) with feedback and accommodation requests.\n\n© 2026 Barchart.com, Inc. All Rights Reserved.\n\n[About Barchart](https:\/\/www.barchart.com\/about)   \\|   [Affiliate Program](https:\/\/www.barchart.com\/affiliate-program)   \\|   [Terms of Service](https:\/\/www.barchart.com\/terms)   \\|   [Privacy Policy](https:\/\/www.barchart.com\/terms#privacy-policy)   \\|   [Do Not Sell or Share My Personal Information](https:\/\/www.barchart.com\/terms#do-not-sell)   \\|   [Cookie Settings](https:\/\/www.barchart.com\/cookie-notice)\n\nTechnical Analysis\n\nThe Technical Analysis page contains the results of 16 common technical analytics over different periods of time. The analytics are:\n\nMoving Average  \n Price Change  \n Percent Change  \n Average Volume\n\n- The **Moving Average** is the average price of the security or contract for the Period shown. For example, a 9-period moving average is the average of the closing prices for the past 9 periods, including the current period. For intraday data the current price is used in place of the closing price.  \n     \n   The moving average is used to observe price changes. The effect of the moving average is to smooth the price movement so that the longer-term trend becomes less volatile and therefore more obvious. When the price rises above the moving average, it indicates that investors are becoming bullish on the commodity. When the price falls below, it indicates a bearish commodity. As well, when a moving average crosses below a longer-term moving average, the study indicates a down turn in the market. When a short-term moving average crosses above a longer term moving average, this indicates an upswing in the market. The longer the period of the moving average, the smoother the price movement is. Longer moving averages are used to isolate long-term trends.\n- The **Price Change** and associated **Percent Change** is the difference between the current Last Price, and the Last Price from the Period shown.\n- The **Average Volume** figure is the average for the security or individual contract (for commodities) over the specified period of time.\n\nRaw Stochastic  \n Stochastic %K  \n Stochastics %D  \n Relative Strength\n\n- The stochastic values simply represent the position of the market on a percentage basis versus its range over the previous n-period sessions. The percentage scale runs from zero to 100%. The Stochastic Indicator shows where a security's price closed in relation to its price range over the specified time period. There are three primary stochastic values:\n  1. **Raw Stochastic** - the most basic value representing the stochastic value for each period. This is also referred to as raw K.\n  2. **Stochastic** **%K** - the first smoothing of the raw stochastic, usually with a 3-period exponential moving average.\n  3. **Stochastic** **%D** - the smoothing of the %k value, usually with another 3-period exponential moving average. Also known as slow K.\n- The **Relative Strength Index (RSI**) is one of the most popular overbought\/oversold (OB\/OS) indicators. The RSI is basically an internal strength index which is adjusted on a daily basis by the amount by which the market rose or fell. It is most commonly used to show when a market has topped or bottomed. A high RSI occurs when the market has been rallying sharply and a low RSI occurs when the market has been selling off sharply. The RSI is expressed as a 2 decimal number, and ranges from zero to 100.\n\nAverage True Range   \n Average True Range %  \n Average Daily Range  \n Average Daily Range %\n\n- Average True Range (ATR) is a moving average of trading ranges over a given period. High values often occur at market bottoms following a \"panic\" sell-off while low values are often found during extended sideways periods, such as those found at tops and after consolidation periods.  \n     \n   The Average True Range is the greatest of the following:\n  - The price difference from today's high to today's low.\n  - The price difference from yesterday's close to today's high.\n  - The price difference from yesterday's close to today's low.\n- **Average True Range %** \\- The Average Daily Range Percent (ADRP) is a volatility indicator, calculated by dividing the average daily range by the current price. The higher the value the more volatile the underlying security, and elevated values can often precede price reversals. ADRP is often used for swing and day trading to security with a large trading range.\n- **Average Daily Range** - High Average Daily Range (ADR) values often occur at market bottoms following a \"panic\" sell-off. Low Average Daily Range values are often found during extended sideways periods, such as those found at tops and after consolidation periods. The Daily True Range indicator is the price difference from today's high to today's low.\n- **Average Daily Range %** - A measurement of volatility, Average Daily Range Percent (ADRP) is calculated by dividing the given period Average Daily Range by the underlying closing price, expressed as a percentage.\n\nAverage Directional Index  \n Positive Directional Index (+DI)  \n Negative Directional Index (-DI)   \n Historic Volatility\n\n- **Average Directional Index** - The Average Directional Index Technical Indicator (ADX) helps to determine if there is a price trend in the underlying market. A value below 20 means the market is not trending, where as a value above 25 means the market is trending. A higher value indicates a stronger trend.\n- **Positive Directional Index (+DI) -** The Positive Direction Index (+DI) is used to determine the presence of an up-trend, and is used in conjunction with a high ADX reading, and a value greater than the corresponding -DI reading, to help determine a dominate up-trend.\n- **Negative Directional Index (-DI) -** The Negative Direction Index (-DI) is used to determine the presence of an down-trend, and is used in conjunction with a high ADX reading, and a value greater than the corresponding +DI reading, to help determine a dominate down -trend.\n- **Historic Volatility** is the standard deviation of the \"price returns\" over a given number of sessions, multiplied by a factor (260 days) to produce an annualized volatility level. A \"price return\" is the natural logarithm of the percentage price changes or ln\\[Pt\/P(t-1)\\]. A volatile market therefore has a larger standard deviation and thus a higher historical volatility value. Conversely, a market with small fluctuations has a small standard deviation and a low historical volatility value. Historical volatility is available on a daily chart, and on the Technicals Summary page for an individual ticker symbol\/commodity contract. Historical volatility can also be used as a tool by traders who are trading only the underlying instrument. Quantifying the volatility in a market can affect a trader's perception of how far the market can move and thus provides some help in making price projections and placing orders. High volatility may indicate a trend reversal as heavy buying\/selling comes into the market and may sharp price reversals.\n\nTechnicals are calculated and updated every 20 minutes during the trading day using delayed market data.\n\n**Alerts on Technicals**\n\nBarchart Premier users can set Alerts on Technicals. 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URL	https://www.barchart.com/stocks/quotes/SE/technical-analysis
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Meta Title	SE Technical Analysis for Sea Ltd ADR Stock - Barchart.com
Meta Description	Technical Analysis Summary for Sea Ltd ADR with Moving Average, Stochastics, MACD, RSI, Average Volume.
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Boilerpipe Text	The Technical Analysis page contains the results of 16 common technical analytics over different periods of time. The analytics are: Moving Average Price Change Percent Change Average Volume The Moving Average is the average price of the security or contract for the Period shown. For example, a 9-period moving average is the average of the closing prices for the past 9 periods, including the current period. For intraday data the current price is used in place of the closing price. The moving average is used to observe price changes. The effect of the moving average is to smooth the price movement so that the longer-term trend becomes less volatile and therefore more obvious. When the price rises above the moving average, it indicates that investors are becoming bullish on the commodity. When the price falls below, it indicates a bearish commodity. As well, when a moving average crosses below a longer-term moving average, the study indicates a down turn in the market. When a short-term moving average crosses above a longer term moving average, this indicates an upswing in the market. The longer the period of the moving average, the smoother the price movement is. Longer moving averages are used to isolate long-term trends. The Price Change and associated Percent Change is the difference between the current Last Price, and the Last Price from the Period shown. The Average Volume figure is the average for the security or individual contract (for commodities) over the specified period of time. Raw Stochastic Stochastic %K Stochastics %D Relative Strength The stochastic values simply represent the position of the market on a percentage basis versus its range over the previous n-period sessions. The percentage scale runs from zero to 100%. The Stochastic Indicator shows where a security's price closed in relation to its price range over the specified time period. There are three primary stochastic values: Raw Stochastic - the most basic value representing the stochastic value for each period. This is also referred to as raw K. Stochastic %K - the first smoothing of the raw stochastic, usually with a 3-period exponential moving average. Stochastic %D - the smoothing of the %k value, usually with another 3-period exponential moving average. Also known as slow K. The Relative Strength Index (RSI ) is one of the most popular overbought/oversold (OB/OS) indicators. The RSI is basically an internal strength index which is adjusted on a daily basis by the amount by which the market rose or fell. It is most commonly used to show when a market has topped or bottomed. A high RSI occurs when the market has been rallying sharply and a low RSI occurs when the market has been selling off sharply. The RSI is expressed as a 2 decimal number, and ranges from zero to 100. Average True Range Average True Range % Average Daily Range Average Daily Range % Average True Range (ATR) is a moving average of trading ranges over a given period. High values often occur at market bottoms following a "panic" sell-off while low values are often found during extended sideways periods, such as those found at tops and after consolidation periods. The Average True Range is the greatest of the following: The price difference from today's high to today's low. The price difference from yesterday's close to today's high. The price difference from yesterday's close to today's low. Average True Range % - The Average Daily Range Percent (ADRP) is a volatility indicator, calculated by dividing the average daily range by the current price. The higher the value the more volatile the underlying security, and elevated values can often precede price reversals. ADRP is often used for swing and day trading to security with a large trading range. Average Daily Range - High Average Daily Range (ADR) values often occur at market bottoms following a "panic" sell-off. Low Average Daily Range values are often found during extended sideways periods, such as those found at tops and after consolidation periods. The Daily True Range indicator is the price difference from today's high to today's low. Average Daily Range % - A measurement of volatility, Average Daily Range Percent ( ADRP) is calculated by dividing the given period Average Daily Range by the underlying closing price, expressed as a percentage. Average Directional Index Positive Directional Index (+DI) Negative Directional Index (-DI) Historic Volatility Average Directional Index - The Average Directional Index Technical Indicator (ADX) helps to determine if there is a price trend in the underlying market. A value below 20 means the market is not trending, where as a value above 25 means the market is trending. A higher value indicates a stronger trend. Positive Directional Index (+DI) - The Positive Direction Index (+DI) is used to determine the presence of an up-trend, and is used in conjunction with a high ADX reading, and a value greater than the corresponding -DI reading, to help determine a dominate up-trend. Negative Directional Index (-DI) - The Negative Direction Index (-DI) is used to determine the presence of an down-trend, and is used in conjunction with a high ADX reading, and a value greater than the corresponding +DI reading, to help determine a dominate down -trend. Historic Volatility is the standard deviation of the "price returns" over a given number of sessions, multiplied by a factor (260 days) to produce an annualized volatility level. A "price return" is the natural logarithm of the percentage price changes or ln[Pt/P(t-1)]. A volatile market therefore has a larger standard deviation and thus a higher historical volatility value. Conversely, a market with small fluctuations has a small standard deviation and a low historical volatility value. Historical volatility is available on a daily chart, and on the Technicals Summary page for an individual ticker symbol/commodity contract. Historical volatility can also be used as a tool by traders who are trading only the underlying instrument. Quantifying the volatility in a market can affect a trader's perception of how far the market can move and thus provides some help in making price projections and placing orders. High volatility may indicate a trend reversal as heavy buying/selling comes into the market and may sharp price reversals. Technicals are calculated and updated every 20 minutes during the trading day using delayed market data. Alerts on Technicals Barchart Premier users can set Alerts on Technicals. Alerts are triggered using the same delayed data (calculated every 20 minutes) as shown on this page.s
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\[\[ item.askPrice \]\] x \[\[ item.askSize \]\] \[\[ session \]\] by (Cboe BZX) \[\[ item.lastPrice \]\] \[\[ item.priceChange \]\] (\[\[ item.percentChange \]\]) \[\[ item.tradeTime \]\] \[NYSE\] \[\[ item.bidPrice \]\] x \[\[ item.bidSize \]\] \[\[ item.askPrice \]\] x \[\[ item.askSize \]\] \[\[ session \]\] \[\[ item.lastPriceExt \]\] \[\[ item.priceChangeExt \]\] (\[\[ item.percentChangeExt \]\]) \[\[ item.tradeTimeExt \]\] Technical Analysis for \[\[ item.sessionDateDisplayLong \]\] [Notes]() [Alerts]("Set Price Alerts") [Watch]("Add to Watchlist") [Help]("View Page Help") Go To: \| Period \| Moving Average \| Price Change \| Percent Change \| Average Volume \| \|---\|---\|---\|---\|---\| \| 5-Day \| 128\.18 \| \+1.80 \| \+1.43% \| 2,514,460 \| \| 20-Day \| 126\.79 \| \-10.26 \| \-7.44% \| 4,247,385 \| \| 50-Day \| 139\.42 \| \-38.13 \| \-23.01% \| 4,805,860 \| \| 100-Day \| 161\.12 \| \-20.04 \| \-13.58% \| 4,544,594 \| \| 200-Day \| 153\.55 \| \-5.07 \| \-3.82% \| 4,575,872 \| \| Year-to-Date \| 147\.45 \| \+21.47 \| \+20.24% \| 4,544,459 \| \| Period \| Raw Stochastic \| Stochastic %K \| Stochastic %D \| Relative Strength \| \|---\|---\|---\|---\|---\| \| 9-Day \| 62\.23% \| 76\.49% \| 83\.62% \| 49\.14 \| \| 14-Day \| 63\.95% \| 77\.06% \| 72\.15% \| 44\.62 \| \| 20-Day \| 45\.25% \| 51\.45% \| 49\.26% \| 42\.09 \| \| 50-Day \| 16\.68% \| 19\.29% \| 18\.32% \| 42\.75 \| \| 100-Day \| 10\.83% \| 12\.53% \| 12\.31% \| 46\.73 \| \| Period \| Average True Range \| Average True Range % \| Average Daily Range \| Average Daily Range % \| \|---\|---\|---\|---\|---\| \| 9-Day \| 3\.86 \| 3\.02% \| 3\.05 \| 2\.39% \| \| 14-Day \| 4\.38 \| 3\.43% \| 3\.72 \| 2\.92% \| \| 20-Day \| 4\.81 \| 3\.77% \| 3\.93 \| 3\.08% \| \| 50-Day \| 5\.55 \| 4\.35% \| 5\.13 \| 4\.02% \| \| 100-Day \| 5\.53 \| 4\.33% \| 5\.58 \| 4\.38% \| \| Period \| Directional Index (ADX) \| Positive Direction (+DI) \| Negative Direction (-DI) \| Historic Volatility \| \|---\|---\|---\|---\|---\| \| 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Volume reflects consolidated markets. Futures and Forex: 10 or 15 minute delay, CT. [Market Data](https://www.barchart.com/solutions) powered by Barchart Solutions. Fundamental data provided by Zacks and [Morningstar](https://www.barchart.com/terms#morningstar). Barchart is committed to ensuring digital accessibility for individuals with disabilities. We encourage users to [Contact Us](https://www.barchart.com/contact) with feedback and accommodation requests. © 2026 Barchart.com, Inc. All Rights Reserved. [About Barchart](https://www.barchart.com/about) \\| [Affiliate Program](https://www.barchart.com/affiliate-program) \\| [Terms of Service](https://www.barchart.com/terms) \\| [Privacy Policy](https://www.barchart.com/terms#privacy-policy) \\| [Do Not Sell or Share My Personal Information](https://www.barchart.com/terms#do-not-sell) \\| [Cookie Settings](https://www.barchart.com/cookie-notice) Technical Analysis The Technical Analysis page contains the results of 16 common technical analytics over different periods of time. The analytics are: Moving Average Price Change Percent Change Average Volume - The Moving Average is the average price of the security or contract for the Period shown. For example, a 9-period moving average is the average of the closing prices for the past 9 periods, including the current period. For intraday data the current price is used in place of the closing price. The moving average is used to observe price changes. The effect of the moving average is to smooth the price movement so that the longer-term trend becomes less volatile and therefore more obvious. When the price rises above the moving average, it indicates that investors are becoming bullish on the commodity. When the price falls below, it indicates a bearish commodity. As well, when a moving average crosses below a longer-term moving average, the study indicates a down turn in the market. When a short-term moving average crosses above a longer term moving average, this indicates an upswing in the market. The longer the period of the moving average, the smoother the price movement is. Longer moving averages are used to isolate long-term trends. - The Price Change and associated Percent Change is the difference between the current Last Price, and the Last Price from the Period shown. - The Average Volume figure is the average for the security or individual contract (for commodities) over the specified period of time. Raw Stochastic Stochastic %K Stochastics %D Relative Strength - The stochastic values simply represent the position of the market on a percentage basis versus its range over the previous n-period sessions. The percentage scale runs from zero to 100%. The Stochastic Indicator shows where a security's price closed in relation to its price range over the specified time period. There are three primary stochastic values: 1. Raw Stochastic - the most basic value representing the stochastic value for each period. This is also referred to as raw K. 2. Stochastic %K - the first smoothing of the raw stochastic, usually with a 3-period exponential moving average. 3. Stochastic %D - the smoothing of the %k value, usually with another 3-period exponential moving average. Also known as slow K. - The Relative Strength Index (RSI) is one of the most popular overbought/oversold (OB/OS) indicators. The RSI is basically an internal strength index which is adjusted on a daily basis by the amount by which the market rose or fell. It is most commonly used to show when a market has topped or bottomed. A high RSI occurs when the market has been rallying sharply and a low RSI occurs when the market has been selling off sharply. The RSI is expressed as a 2 decimal number, and ranges from zero to 100. Average True Range Average True Range % Average Daily Range Average Daily Range % - Average True Range (ATR) is a moving average of trading ranges over a given period. High values often occur at market bottoms following a "panic" sell-off while low values are often found during extended sideways periods, such as those found at tops and after consolidation periods. The Average True Range is the greatest of the following: - The price difference from today's high to today's low. - The price difference from yesterday's close to today's high. - The price difference from yesterday's close to today's low. - Average True Range % \- The Average Daily Range Percent (ADRP) is a volatility indicator, calculated by dividing the average daily range by the current price. The higher the value the more volatile the underlying security, and elevated values can often precede price reversals. ADRP is often used for swing and day trading to security with a large trading range. - Average Daily Range - High Average Daily Range (ADR) values often occur at market bottoms following a "panic" sell-off. Low Average Daily Range values are often found during extended sideways periods, such as those found at tops and after consolidation periods. The Daily True Range indicator is the price difference from today's high to today's low. - Average Daily Range % - A measurement of volatility, Average Daily Range Percent (ADRP) is calculated by dividing the given period Average Daily Range by the underlying closing price, expressed as a percentage. Average Directional Index Positive Directional Index (+DI) Negative Directional Index (-DI) Historic Volatility - Average Directional Index - The Average Directional Index Technical Indicator (ADX) helps to determine if there is a price trend in the underlying market. A value below 20 means the market is not trending, where as a value above 25 means the market is trending. A higher value indicates a stronger trend. - Positive Directional Index (+DI) - The Positive Direction Index (+DI) is used to determine the presence of an up-trend, and is used in conjunction with a high ADX reading, and a value greater than the corresponding -DI reading, to help determine a dominate up-trend. - Negative Directional Index (-DI) - The Negative Direction Index (-DI) is used to determine the presence of an down-trend, and is used in conjunction with a high ADX reading, and a value greater than the corresponding +DI reading, to help determine a dominate down -trend. - Historic Volatility is the standard deviation of the "price returns" over a given number of sessions, multiplied by a factor (260 days) to produce an annualized volatility level. A "price return" is the natural logarithm of the percentage price changes or ln\[Pt/P(t-1)\]. A volatile market therefore has a larger standard deviation and thus a higher historical volatility value. Conversely, a market with small fluctuations has a small standard deviation and a low historical volatility value. Historical volatility is available on a daily chart, and on the Technicals Summary page for an individual ticker symbol/commodity contract. Historical volatility can also be used as a tool by traders who are trading only the underlying instrument. Quantifying the volatility in a market can affect a trader's perception of how far the market can move and thus provides some help in making price projections and placing orders. High volatility may indicate a trend reversal as heavy buying/selling comes into the market and may sharp price reversals. Technicals are calculated and updated every 20 minutes during the trading day using delayed market data. Alerts on Technicals Barchart Premier users can set Alerts on Technicals. Alerts are triggered using the same delayed data (calculated every 20 minutes) as shown on this page.s ##### Want to use this as your default charts setting? [Save this setup as a Chart Templates]() ##### Switch the Market flag for targeted data from your country of choice. Open the menu and switch the Market flag for targeted data from your country of choice. ##### Want Streaming Chart Updates? [Switch your Site Preferences to use Interactive Charts]() ##### Need More Chart Options? Right-click on the chart to open the Interactive Chart menu. Use your up/down arrows to move through the symbols. Free Barchart Webinar \[\[ data.userDate \]\] \[\[ data.eventTime \\| date: 'EEE, MMM dd, yyyy h:mm a' \]\] \[\[ zone \]\] [Reserve Your Spot]() Not interested in this webinar.
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