diff --git "a/68edbb40-0eab-41d7-8a03-70b4528b2c24.json" "b/68edbb40-0eab-41d7-8a03-70b4528b2c24.json" new file mode 100644--- /dev/null +++ "b/68edbb40-0eab-41d7-8a03-70b4528b2c24.json" @@ -0,0 +1,40 @@ +{ + "interaction_id": "68edbb40-0eab-41d7-8a03-70b4528b2c24", + "search_results": [ + { + "page_name": "google sheets - How to get close price for last date market was open?", + "page_url": "https://webapps.stackexchange.com/questions/115168/how-to-get-close-price-for-last-date-market-was-open", + "page_snippet": "When using the GOOGLEFINANCE formula to get historical prices and performance for different periods, if the date used in the formula is one where the market was closed the formula returns #N/A. ThisWhen using the GOOGLEFINANCE formula to get historical prices and performance for different periods, if the date used in the formula is one where the market was closed the formula returns #N/A. This occurs for every weekend as well as market holidays. The correct answer for date 1/1/2015 is 524.96, which is the close price on 12/31/2014. This expression returns 523.37 which is the close price on 01/02/2015. It will fail for any date that had 2 or more days with the market closed in the previous 5 days counting the date in question. For example =GOOGLEFINANCE(\"GOOG\",\"Close\",\"1/1/15\") returns #N/A \u00b7 Since I'm looking at performance, the correct price for a stock on a date the market was closed is the close price of the last date the market was open prior to that date. Also, when it does work it returns the closing price of the next day of trading, and to calculate returns up to that date I need the previous day. ... It's a pity GoogleFinance doesn't offer a \"CloseLast\" attribute, so we wouldn't have to go through awkward contortions to get something rather obviously required!", + "page_result": "\n\n\n \n\n \n\n google sheets - How to get close price for last date market was open? - Web Applications Stack Exchange\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n\n\n \n \n \n\n \n \n \n \n\n \n \n\n\n \n \n\n\n\n \n \n \n \n \n
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When using the GOOGLEFINANCE formula to get historical prices and performance for different periods, if the date used in the formula is one where the market was closed the formula returns #N/A. This occurs for every weekend as well as market holidays.

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For example =GOOGLEFINANCE(\"GOOG\",\"Close\",\"1/1/15\") returns #N/A

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Since I'm looking at performance, the correct price for a stock on a date the market was closed is the close price of the last date the market was open prior to that date.

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I have seen workarounds using WORKDAY, but that would involve having a separate table with all the market holidays. This seems like a common enough problem for there to be an easier solution.

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Is there another way to obtain the price for the last open market date for any given date?

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\n asked Mar 6, 2018 at 7:48\n
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    \n \n Both return an answer for 1/1/18, but not for market holidays prior to 1/1/17. I'll change the date of my example to avoid confusion. Also, when it does work it returns the closing price of the next day of trading, and to calculate returns up to that date I need the previous day.\n \n
    \n– twalbaum\n
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    \n \n It's a pity GoogleFinance doesn't offer a "CloseLast" attribute, so we wouldn't have to go through awkward contortions to get something rather obviously required!\n \n
    \n– maxhugen\n
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    \n \n Sheets does provide closelast in the realtime data, simply the attribute "price". =googlefinance("GME"). But... that is not the same as the historical data requested in the question.\n \n
    \n– Douglas Held\n
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\n 7 Answers\n 7\n

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=GOOGLEFINANCE(\"GOOG\",\"CloseYest\")

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\n answered Nov 7, 2018 at 20:56\n
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    \n \n You asked, "Is there another way to obtain the price for the last open market date?," and 'closeyest' does exactly that.\n \n
    \n– RDM\n
    \n Nov 13, 2018 at 19:40\n
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    \n \n "CloseYest" only applies to mutual funds (not stocks) and in any case doesn't give the historical closing price if the date passed to the function is a weekend or holiday.\n \n
    \n– JimTheFrog\n
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    \n \n I confirmed that "CloseYest" currently works as expected for stock and ETF symbols. (Not just mutual funds.) This appears to be the best solution.\n \n
    \n– BlakeTNC\n
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    \n \n It's true googlefinance("GOOG", "closeyest") returns a value from the real-time API. But, it doesn't help with the historical close prices the question asks about, as it can't be used with a date parameter.\n \n
    \n– Douglas Held\n
    \n Nov 6, 2022 at 16:08\n \n \n \n
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A workaround that solves the above is getting the Close price for the stock for a range of days before and after the date in question, and then querying the result for the most recent price on or before that date, like this:

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=QUERY(GOOGLEFINANCE(\"GOOG\",\"Close\",DATEVALUE(\"1/1/15\")-5,6),\"select Col2 where Col1 < date '2015-01-02' order by Col1 desc limit 1\",False)\n
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To make this dynamic, you can reference the date to another cell (A1 in the example below) like this:

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=QUERY(GOOGLEFINANCE(\"GOOG\",\"Close\",A1-5,6),\"select Col2 where Col1 < date '\"&TEXT(A1+1, \"YYYY-MM-DD\")&\"' order by Col1 desc limit 1\",False)\n
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I came up with this answer after trying multiple options, taking a hint from this post that was trying to find accurate moving average for historical data.

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\n answered Mar 7, 2018 at 5:24\n
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    \n \n I'm leaving the question open for a few days to see if there are other alternatives answers.\n \n
    \n– twalbaum\n
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    \n \n I tried this out and while it works almost completely perfectly, it seems to be "off by one". I have to do =QUERY(GOOGLEFINANCE("GOOG","Close",A1-5,6),"select Col1, Col2 where Col1 <= date '"&TEXT(A1+1, "YYYY-MM-DD")&"' order by Col1 desc limit 1",False) in order to get the date contained in A1 (if it's available). Note the +1 in the less than or equal clause. Can you confirm if I am correct or am I missing something? If I'm correct, you may want to slightly update your answer. Thank you for the base code however!\n \n
    \n– Samuel Horwitz\n
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    \n \n To follow up above, I have a link to a demo sheet: docs.google.com/spreadsheets/d/…\n \n
    \n– Samuel Horwitz\n
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    \n \n For more clarity, it actually seems better to just cull by desired month, which when combined with sorting and limiting will get the final day of month with data: =QUERY(GOOGLEFINANCE("GOOG","Close",A1-5,6),"select Col2 where month(Col1) = month(date '"&TEXT(A1, "YYYY-MM-DD")&"') order by Col1 desc limit 1",False)\n \n
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    \n \n Not sure about the last comment, but you are definitely right about the formula throwing the wrong date result for some cases. This is because the date column that googlefinance returns is a timestamp that has 4pm, which is "larger" than the input date (which is 00:00am). I made an adjustment that solves for this.\n \n
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INDEX(SORT(GOOGLEFINANCE("GOOG", "close", TODAY()-5, 6,1), 1, FALSE), 2, 2)

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This will show the list of results in reverse, allowing one to pick off the top of the list (last valid close).

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\n answered Oct 20, 2021 at 16:46\n
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=index(googlefinance(\"GOOG\",\"price\",A1-5, 5),countA(index(googlefinance(\"GOOG\",\"price\",A1-5, 5),$B:$B,2)),2)\n
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where A1 is the date

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This takes the previous 5 days and gets the last result returned in the array result by counting the results returned. Some markets have up to 4 days closed in a row so you can still return a result with 5.

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\n answered Feb 19, 2019 at 4:30\n
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    \n– twalbaum\n
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    \n \n Column B is referencing within the returned array result, not the sheet itself.\n \n
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    \n \n This fails for most cases. It would work if you change the COUNTA for a COUNTIF and make the condition $A:$A <= A1\n \n
    \n– twalbaum\n
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    \n \n More than a year later, I'd like refresh this thread. First of all, the original expression using COUNTA seems to work with no issues at all, so I don't know what poster PS0 meant by 'this fails for most cases'; why would it? However, if you do replace COUNTA with COUNTIF, it is not clear to me in this complex expression where exactly should the inequality $A:$A<=A1 be inserted. The standard syntax for COUNTIF is COUNTIF(A1:A10,">20"), so in =index(googlefinance(A1,"price",today()-5, 5),COUNTA(index(googlefinance(A1,"price",today()-5, 5),B:B,2)),2) it should replace 2, but that fails...\n \n
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    \n \n The correct answer for date 1/1/2015 is 524.96, which is the close price on 12/31/2014. This expression returns 523.37 which is the close price on 01/02/2015. It will fail for any date that had 2 or more days with the market closed in the previous 5 days counting the date in question. So it only works for Friday or Saturday of a week with no market holidays.\n \n
    \n– twalbaum\n
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Created an index column T5-T29 1-25.

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In U5 enter\n=GOOGLEFINANCE("GOOG","price",-1,today(),1)

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then check for blank and return index of last close.

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In U31 enter\n=if(ISBLANK(U29), if(ISBLANK(U28),if(ISBLANK(U27),if(ISBLANK(U26),if(ISBLANK(U25),if(isblank(U24),if(isblank(U23),T22,T23),T24),T25),T26),T27),T28),T29)

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This is then referenced by below to show last close.

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=index(GOOGLEFINANCE(A2,"price",R$2,today(),1),U$31,2) \n
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Fast and inelegant.

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\n answered Nov 28, 2020 at 1:18\n
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I think the answer from @twalbaum is fishing toward the right idea, but it can be improved by understanding in a little more detail the Google Sheets GOOGLEFINANCE() API which, in my opinion, is a little confusing. With some parameter combinations, it gives a scalar result and with other parameter combinations, it gives a range result.

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Carefully reading the API, there are three or four use cases based on the attribute 2nd parameter provided.

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  • attribute missing: returns a scalar real-time result
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My answer will ignore the case of mutual fund data (as I haven't studied it, and the 2018 question is asking about GOOG which is not a mutual fund).

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Now, the real-time API is where we get the last sold price, even if the market is closed. Incidentally, the date of the last sale can be displayed with googlefinance("GOOG", "tradetime").

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Meanwhile, going to historical data... if we specify most non-trading days the value comes back (apparently) as the close for the prior Friday. See below:

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except, and I'm assuming this is a Google implementation bug, the closing value doesn't carry forward if the function is called on a non-trading day (columns F and G in the example).

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However we can pull a nearly* equivalent value, the weekly close, by using the technique described by @twalbaum. See the result in columns C and D.

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So I'd propose the solution is to conditionally return the daily close price, and if that happens to be #N/A, then to return the weekly close price.

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=IFNA( index( googlefinance( "GOOG", "close", $DATE_CELL ), 2, 2 ), INDEX( googlefinance( "GOOG", "close", $DATE_CELL - 7, 7, "weekly" ), 2, 2 ) )

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* Note, between cells D6 and G6 etc., the values differ by a small amount. I assume that's another Google error.

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Conclusion: It seems like pulling the historical data from Google may be an inexact science. I'd propose my solution as a slightly more straightforward solution than the accepted solution.

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Formulas:

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  • Column C: =INDEX( googlefinance( $C$1, "close", A14-7,A14, "weekly" ), 2, 2 )
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  • Column E: =INDEX( googlefinance( $C$1, "close", A14), 2, 1 )
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  • Column F: =INDEX( googlefinance( $C$1, "close", A14), 2, 2 )
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\n answered Nov 6, 2022 at 16:03\n
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\"Douglas
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The correct answer is to use the Workday() function as follows:

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=Index(GOOGLEFINANCE("MSFT","price", Workday(DateValue("12/31/2023")+1,-1)),2,2)\n
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\"galacticninja's
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\n 2,13288 gold badges3030 silver badges6565 bronze badges\n
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\n answered Feb 1 at 0:21\n
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\n\n \n \n\n \n \n\n\n \n\n \n \n \n \n \n \n\n\n \n \n \n", + "page_last_modified": "" + }, + { + "page_name": "Closing Market Update | Charles Schwab", + "page_url": "https://www.schwab.com/learn/story/stock-market-update-close", + "page_snippet": "The S&P 500 index and Dow Jones Industrial Average hit new high-water marks after Nvidia results exceeded expectations.A strengthening trend in the current earnings season suggests the market is retaining solid fundamental underpinnings, for now. \"Treasury yields are creeping higher, which should work against higher equity prices, but individual stock earnings are taking over the narrative,\" Hincks explained. Next week brings a few economic reports likely to influence the market's expectations for inflation and Federal Reserve interest rate policy. Those numbers include Personal Consumption Expenditure (PCE) prices, the Fed's preferred inflation gauge, and an updated government estimate for fourth-quarter gross domestic product (GDP). Late Thursday, traders priced nearly 96% odds the fed funds target will remain unchanged at 5.25% to 5.5% following the March 19 \u2013 20 Federal Open Market Committee (FOMC) meeting, according to the CME FedWatch Tool. The tool shows a 75% chance the fed funds rate will be unchanged after the FOMC's May meeting, up from 62% a week ago. \"Nvidia delivered,\" Hincks said. \"Now, the market is trying to figure out what to do 'post-Nvidia.' Is today's event the catalyst to even higher stock prices, or will we look back at this as the day we put in the short-term highs?\"", + "page_result": "\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Closing Market Update | Charles Schwab \n \n \n \n \n \n \n\n\n\n \n\n\n\n\n \n\n
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\n \n\n \n\n\n\n Markets And Economy\n \n\n\n\n\n \n\n \n \n
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\n \n February 27, 2024\n \n \n Schwab Center for Financial Research\n \n \n
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\n Retailer earnings grab spotlight, but market otherwise consolidates ahead of GDP, inflation data.\n
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(Tuesday market close) Major U.S. equity indexes finished mixed Tuesday as the market extended a modest pullback from last week's climb to record highs and investors looked ahead to a handful of major company results remaining this earnings season and a key inflation update that promises to shape interest rate expectations.

Retailers were in the spotlight as Macy's (M) jumped 3.4% after the company, in its quarterly results, said it'll close about 150 department stores and open new locations for stronger-performing brands. Lowe\u2019s (LOW) added\u00a01.8% after the home improvement chain reported stronger-than-expected earnings. Dow member Salesforce (CRM) and Snowflake (SNOW) are both expected to report Wednesday.

Investors also are waiting for Wednesday's update to fourth-quarter gross domestic product (GDP) and Thursday's Personal Consumption Expenditures Price Index (PCE), the Federal Reserve's preferred inflation measure.

According to Nathan Peterson, director of derivatives analysis at the Schwab Center for Financial Research, investors are navigating a figurative \"air pocket\" between last week's Nvidia (NVDA) earnings and key events next month, including the February\u00a0Nonfarm Payrolls\u00a0Report March 8 and the Federal Reserve's next policy gathering in three weeks.

\"Stocks appear to be in consolidation mode as the tech rally takes a breather, along with a lack of major earnings or economic catalysts until we get the PCE numbers Thursday,\" Peterson said.

\"But money is always looking for a place to grow, and so far this week, we\u2019ve been seeing money flow into some previously lagging areas of the market, such as small caps and Chinese shares.\u00a0Money is also finding its way into the biotech sector, which is trading at a two-year high today,\" he added.

Here's where the major benchmarks ended:

  • The S&P 500\u00ae index (SPX)\u00a0rose 8.65 points (0.2%) to\u00a05,078.18; the Dow Jones Industrial Average\u00ae (DJI)\u00a0fell 96.82 points (0.3%) to\u00a038,972.41; the Nasdaq Composite\u00ae (COMP)\u00a0gained 59.05 points (0.4%) to\u00a016,035.30.
  • The 10-year Treasury note yield (TNX)\u00a0rose about 1 basis point to\u00a04.309%.
  • The CboeVolatility Index\u00ae (VIX)\u00a0dropped 0.31 to\u00a013.43.

Retailer strength helped lift the S&P Retail Select Industry Index (SPSIRE) 2.4% to its highest level in 22 months. Utility shares were also strong as the sector rebounded from the previous day's slump. The small-cap Russell 2000\u00ae (RUT) jumped\u00a01.3% to extend a nearly week-long rally and posted its second-highest close of the year.

In other markets, WTI crude oil (/CL)\u00a0futures surged\u00a01.4% and settled just under $79 per barrel, the market's highest close since early November. Strength in oil reflects concern over conflict in the Middle East and expectations OPEC may extend production cuts beyond the first few months of 2024.

Stock market benchmarks remain in a steady uptrend, according to Peterson, with the S&P 500 still well-above widely followed indicators, such as the 50-day moving average (currently about 4,864) and the Russell 2000 \"threatening to break out to two-year highs.\" If the S&P 500 continues to pull back from last week's all-time high above 5,100, the first near-term area support appears to be around 4,950 followed by 4,800, Peterson added.

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Read all our market commentary on our\u00a0Insights & Education\u00a0page, and you can follow us at\u00a0@SchwabResearch.

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Read all our market commentary on our\u00a0Insights & Education\u00a0page, and you can follow us at\u00a0@SchwabResearch.

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\n Stocks on the move\n

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The following companies had stock price moves driven by analyst ratings, quarterly results, or other news:

  • AutoZone\u00a0(AZO) jumped\u00a06.7% after the auto-parts retailer's quarterly earnings and revenue surpassed expectations.\u00a0
  • Cava (CAVA) gained\u00a012% after the Mediterranean restaurant chain posted earnings and revenue that exceeded forecasts.
  • Coinbase Global\u00a0(COIN) rose\u00a02.7%, joining a rally across the cryptocurrency industry after bitcoin soared above $57,000 to its highest level since late 2021.
  • Norwegian Cruise Line (NCLH) rallied\u00a020% after the cruise-ship operator topped earnings expectations and released strong guidance for 2024.
  • Roku (ROKU) fell\u00a00.8% after\u00a0Wells Fargo (WFC) downgraded the streaming platform to \"underweight\" from \"equal weight\" and cut its price target to $51 from $77, saying Walmart's \u00a0(WMT) acquisition of Vizio\u00a0(VZIO) creates \"substantial risk\" for Roku.
  • Unity Software (U) sank\u00a06.1% after the video-game developer released disappointing earnings guidance.\u00a0
  • Viking Therapeutics (VKTX) soared\u00a0121% after the biotechnology company announced favorable trial results from a Phase 2 study for its VK2735 weight loss treatment.
  • Workday (WDAY) dropped\u00a04% despite posting earnings that topped expectations. The maker of human resources and finance software also reiterated previous guidance for the full year.
  • Zoom Video Communications (ZM) climbed\u00a08% after the video-software vendor's quarterly results surpassed Wall Street expectations.

The two big tech companies on Wednesday's earnings calendar, Salesforce\u00a0and Snowflake,\u00a0may not be considered part of the so-called Magnificent Seven mega-caps, but their results are sure to be closely scrutinized and could add fuel to another leg up in the tech sector, or they could throw a bucket of cold water on the market. Both companies are expected to report results after the close.\u00a0

As Nvidia's results last week illustrated, big tech earnings surprises, to the upside or downside, have often triggered outsized moves for both the company's shares and the sector. After Salesforce\u00a0previously reported results in November, shares of the cloud-software vendor surged as much as 17% over the next three days.

Salesforce shares have gained\u00a014% so far this year, making it one of the Dow's top 10 performers and outpacing the\u00a03.4% increase for the blue-chip average. Shares of cloud-data storage provider Snowflake have also performed well, up\u00a0almost 18% this year.

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\n Consumer confidence dips\n

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Economic news reported Wednesday came out weaker than expected but did not appear to significantly alter the market's longer-term outlook for the economy or interest rates.\u00a0

The Conference Board's Consumer Confidence Index\u00ae (CCI) for February unexpectedly dropped to 106.7 from a downwardly revised 110.9 in January, breaking a three-month string of gains. Analysts expected the index to rise to around 114.6, according to Briefing.com.

The decline reflected \"persistent uncertainty about the U.S. economy,\" according to Dana Peterson, chief economist at The Conference Board.

Survey results indicated \"that while overall inflation remained the main preoccupation of consumers, they are now a bit less concerned about food and gas prices, which have eased in recent months,\" Peterson said in a statement. \"But they are more concerned about the labor market's situation and the U.S. political environment.\"

Also Tuesday, January Durable Orders fell 6.1%, a larger decline than analysts expected and down from a revised \u20130.3% in December. Excluding transportation, orders dropped 0.3%. Analysts had expected new orders to drop 4.4% in January from December. Excluding transportation, orders were seen rising 0.3% in January compared with a revised 0.1% increase in December.

\"The report indicates sluggish spending on durables,\" said Kathy Jones, chief fixed income strategist at Schwab. \"Boeing (BA) orders fell sharply, and non-defensive ex-aircraft (core) was up only 0.1%.\" Motor vehicles and parts demand also looked lackluster.

Wednesday's updated GDP estimate from the government is the second of three and typically has less market significance than the first and third. Consensus is an annualized 3.2%, below the first estimate of 3.3%, according to Briefing.com.

Schwab's Peterson noted that while Consumer Confidence and Durable Goods both reported lower-than-expected estimates, \"there really isn\u2019t enough to formulate a bearish thesis\" for the overall economy. Several other readings in recent months, he noted, largely conveyed an economy on solid footing.

\"Earlier this month, we saw retail sales come in below estimates, along with downward revisions to the prior month, as well as hotter-than-expected inflation,\" Peterson said. \"But we need more data points to see whether the consumer is weakening or inflation is ticking back up.\"

Investors continued to see little chance of the Fed lowering benchmark interest rates any time soon.\u00a0

Late Tuesday, traders priced nearly 98% odds the fed funds target will remain unchanged at 5.25% to 5.5% following the March 19 \u2013 20 FOMC meeting, according to the CME FedWatch Tool. The tool shows an 82% chance the funds rate will be unchanged after the FOMC's May meeting. For June, odds of a quarter-point cut are priced around 50-50.

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\n \n \n\n\n \n\n \n\n \n\n\n\n Looking to the Futures\n \n \n \n \n \n The Japanese Nikkei 225 index closed at an all-time high for the first time in 34 years. \n
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\n \n \n\n\n \n\n \n\n \n\n\n\n Stocks End Mixed as Pullback Continues\n \n \n \n \n \n Retailer earnings grab spotlight, but market otherwise consolidates ahead of GDP, inflation data.\n
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\n Related topics\n

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The information provided here is for general informational purposes only and should not be considered an individualized recommendation or personalized investment advice. The investment strategies mentioned here may not be suitable for everyone. Each investor needs to review an investment strategy for his or her own particular situation before making any investment decision.

All expressions of opinion are subject to change without notice in reaction to shifting market conditions. Data contained herein from third-party providers is obtained from what are considered reliable sources. However, its accuracy, completeness, or reliability cannot be guaranteed.

Examples provided are for illustrative purposes only and not intended to be reflective of results you can expect to achieve.

Schwab Center for Financial Research (\"SCFR\") is a division of Charles Schwab & Co., Inc.

Supporting documentation for any claims or statistical information is available upon request.

Past performance is no guarantee of future results, and the opinions presented cannot be viewed as an indicator of future performance.

Investing involves risk, including loss of principal.

Diversification strategies do not ensure a profit and do not protect against losses in declining markets.

Indexes are unmanaged, do not incur management fees, costs, and expenses and cannot be invested in directly. For more information on indexes, please see\u00a0\u200bschwab.com/indexdefinitions.

The policy analysis provided by the Charles Schwab & Co., Inc., does not constitute and should not be interpreted as an endorsement of any political party.

Fixed income securities are subject to increased loss of principal during periods of rising interest rates. Fixed-income investments are subject to various other risks including changes in credit quality, market valuations, liquidity, prepayments, early redemption, corporate events, tax ramifications, and other factors.

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Supporting documentation for any claims or statistical information is available upon request.

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\n Europe\n

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NameLastChgChg %
FTSE 1007,631.29-51.73-0.67%
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DAX17,578.8322.340.13%
CAC 407,940.55-7.85-0.10%
FTSE MIB32,624.60-81.84-0.25%
IBEX 3510,073.90-39.90-0.39%
SXXP494.60-1.73-0.35%
Swiss Market Index SMI Index11,427.42-13.03-0.11%
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NameLastChgChg %
XX: ADOW3,724.20-37.38-0.99%
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JP:NIK39,208.03-31.49-0.08%
HK: HSI16,536.85-253.95-1.51%
CN:SHCOMP2,957.85-57.63-1.91%
IN:172,304.88-790.34-1.08%
SG:STI3,138.93-18.39-0.58%
AU:XJO7,660.4-2.6-0.03%
KOSPI Composite Index2,652.2927.241.04%
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\n Currencies\n

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NameLastChgChg %
Euro$1.0828-0.0018-0.17%
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Japanese Yen¥150.780.270.18%
British Pound$1.2647-0.0037-0.29%
Australian Dollar$0.6494-0.0051-0.78%
U.S. Dollar Index (DXY)104.040.210.20%
WSJ Dollar Index98.650.230.24%
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\n Cryptocurrency\n

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\n Rates\n

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\n Futures\n

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\n Advertisement\n

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Trending Tickers

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Symbols

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Private Companies

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Authors

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\n Time to Upgrade!\n

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\n U.S.\n

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\n Europe\n

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NameLastChgChg %
FTSE 1007,631.29-51.73-0.67%
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DAX17,578.8322.340.13%
CAC 407,940.55-7.85-0.10%
FTSE MIB32,624.60-81.84-0.25%
IBEX 3510,073.90-39.90-0.39%
SXXP494.60-1.73-0.35%
Swiss Market Index SMI Index11,427.42-13.03-0.11%
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XX: ADOW3,724.20-37.38-0.99%
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JP:NIK39,208.03-31.49-0.08%
HK: HSI16,536.85-253.95-1.51%
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IN:172,304.88-790.34-1.08%
SG:STI3,138.93-18.39-0.58%
AU:XJO7,660.4-2.6-0.03%
KOSPI Composite Index2,652.2927.241.04%
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NameLastChgChg %
Euro$1.0828-0.0018-0.17%
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Japanese Yen¥150.780.270.18%
British Pound$1.2647-0.0037-0.29%
Australian Dollar$0.6494-0.0051-0.78%
U.S. Dollar Index (DXY)104.040.210.20%
WSJ Dollar Index98.650.230.24%
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\n Futures\n

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\n \n \n \n\n \n \n \n\n\n", + "page_last_modified": "" + }, + { + "page_name": "DJIA | Dow Jones Industrial Average Historical Prices - WSJ", + "page_url": "https://www.wsj.com/market-data/quotes/index/DJIA/historical-prices", + "page_snippet": "Dow Jones Industrial Average | historical charts for DJIA to see performance over time with comparisons to other stock exchanges.Commodities & Futures: Futures prices are delayed at least 10 minutes as per exchange requirements. Change value during the period between open outcry settle and the commencement of the next day's trading is calculated as the difference between the last trade and the prior day's settle. Mutual Funds & ETFs: All of the mutual fund and ETF information contained in this display, with the exception of the current price and price history, was supplied by Lipper, A Refinitiv Company, subject to the following: Copyright \u00a9 Refinitiv. All rights reserved.", + "page_result": " DJIA | Dow Jones Industrial Average Historical Prices - WSJ
Advertisement

Dow Jones Industrial Average DJIA

  • 11:11 AM EST 02/28/24
  • 38914.64
  • -57.77 -0.15%
  • 1 Day Range 38741.68 - 38941.70
  • 52 Week Range 31429.82 - 39282.28 (03/15/23 - 02/23/24)
  • Compare to Benchmark:
  • S&P 500
  • GLOBAL DOW
  • NASDAQ
  • Compare to
  • Open 38938.08
  • Prior Close 38972.41 (02/27/24)
  • 1 Day
  • DJIA -0.15%
  • S&P 500 -0.08%
  • Nasdaq -0.37%

DATE OPEN HIGH LOW CLOSE
02/27/24 39087.90 39087.90 38881.90 38972.41
02/26/24 39144.79 39245.89 39025.80 39069.23
02/23/24 39127.97 39282.28 39094.36 39131.53
02/22/24 38845.19 39149.61 38802.07 39069.11
02/21/24 38483.66 38618.03 38338.58 38612.24
02/20/24 38576.26 38663.09 38460.20 38563.80
02/16/24 38751.71 38825.03 38583.24 38627.99
02/15/24 38397.94 38781.89 38397.94 38773.12
02/14/24 38372.67 38442.56 38194.62 38424.27
02/13/24 38699.17 38699.17 38039.86 38272.75
02/12/24 38656.76 38927.08 38628.92 38797.38
02/09/24 38731.97 38734.28 38567.90 38671.69
02/08/24 38702.11 38755.68 38544.36 38726.33
02/07/24 38613.89 38748.11 38571.01 38677.36
02/06/24 38392.90 38545.28 38350.46 38521.36
02/05/24 38546.77 38633.88 38220.40 38380.12
02/02/24 38448.10 38783.62 38336.57 38654.42
02/01/24 38175.34 38522.50 38106.84 38519.84
01/31/24 38426.78 38588.86 38139.66 38150.30
01/30/24 38298.23 38497.39 38257.80 38467.31
01/29/24 38115.83 38343.93 38061.17 38333.45
01/26/24 38006.68 38215.31 37997.77 38109.43
01/25/24 37862.57 38057.53 37796.47 38049.13
01/24/24 37975.37 38064.22 37795.71 37806.39
01/23/24 37959.79 37980.73 37804.99 37905.45
01/22/24 37919.55 38109.20 37911.61 38001.81
01/19/24 37572.50 37933.73 37451.71 37863.80
01/18/24 37300.81 37522.29 37122.95 37468.61
01/17/24 37281.86 37371.66 37132.89 37266.67
01/16/24 37493.54 37543.18 37201.39 37361.12
01/12/24 37818.05 37825.27 37470.19 37592.98
01/11/24 37747.14 37801.90 37424.28 37711.02
01/10/24 37552.91 37740.77 37524.40 37695.73
01/09/24 37523.55 37552.38 37373.30 37525.16
01/08/24 37327.37 37692.92 37249.24 37683.01
01/05/24 37455.46 37623.62 37323.82 37466.11
01/04/24 37425.28 37716.41 37425.28 37440.34
01/03/24 37629.23 37629.23 37401.85 37430.19
01/02/24 37566.22 37790.08 37495.91 37715.04
12/29/23 37701.63 37759.43 37538.80 37689.54
12/28/23 37661.52 37778.85 37650.98 37710.10
12/27/23 37518.62 37683.70 37488.60 37656.52
12/26/23 37405.90 37617.99 37371.83 37545.33
12/22/23 37349.27 37534.52 37268.88 37385.97
12/21/23 37225.32 37418.76 37127.05 37404.35
12/20/23 37520.13 37641.30 37073.04 37082.00
12/19/23 37311.82 37562.83 37311.82 37557.92
12/18/23 37330.14 37393.45 37284.85 37306.02
12/15/23 37194.50 37347.60 37092.02 37305.16
12/14/23 37115.63 37287.50 37051.52 37248.35
12/13/23 36601.80 37094.85 36523.59 37090.24
12/12/23 36442.10 36596.11 36373.22 36577.94
12/11/23 36254.33 36416.18 36231.19 36404.93
12/08/23 36084.82 36296.20 36061.64 36247.87
12/07/23 36124.17 36164.17 36021.95 36117.38
12/06/23 36183.73 36292.58 36024.25 36054.43
12/05/23 36135.65 36164.68 36010.85 36124.56
12/04/23 36089.38 36238.18 36029.69 36204.44
12/01/23 35914.45 36264.85 35914.45 36245.50
11/30/23 35596.57 35970.70 35592.22 35950.89

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock quotes are delayed as per exchange requirements. Fundamental company data and analyst estimates provided by FactSet. Copyright © FactSet Research Systems Inc. All rights reserved. Source: FactSet

Indexes: Index quotes may be real-time or delayed as per exchange requirements; refer to time stamps for information on any delays. Source: FactSet

Markets Diary: Data on U.S. Overview page represent trading in all U.S. markets and updates until 8 p.m. See Closing Diaries table for 4 p.m. closing data. Sources: FactSet, Dow Jones

Stock Movers: Gainers, decliners and most actives market activity tables are a combination of NYSE, Nasdaq, NYSE American and NYSE Arca listings. Sources: FactSet, Dow Jones

ETF Movers: Includes ETFs & ETNs with volume of at least 50,000. Sources: FactSet, Dow Jones

Bonds: Bond quotes are updated in real-time. Sources: FactSet, Tullett Prebon

Currencies: Currency quotes are updated in real-time. Sources: FactSet, Tullett Prebon

Commodities & Futures: Futures prices are delayed at least 10 minutes as per exchange requirements. Change value during the period between open outcry settle and the commencement of the next day's trading is calculated as the difference between the last trade and the prior day's settle. Change value during other periods is calculated as the difference between the last trade and the most recent settle. Source: FactSet

Data are provided 'as is' for informational purposes only and are not intended for trading purposes. FactSet (a) does not make any express or implied warranties of any kind regarding the data, including, without limitation, any warranty of merchantability or fitness for a particular purpose or use; and (b) shall not be liable for any errors, incompleteness, interruption or delay, action taken in reliance on any data, or for any damages resulting therefrom. Data may be intentionally delayed pursuant to supplier requirements.

Mutual Funds & ETFs: All of the mutual fund and ETF information contained in this display, with the exception of the current price and price history, was supplied by Lipper, A Refinitiv Company, subject to the following: Copyright © Refinitiv. All rights reserved. Any copying, republication or redistribution of Lipper content, including by caching, framing or similar means, is expressly prohibited without the prior written consent of Lipper. Lipper shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Cryptocurrencies: Cryptocurrency quotes are updated in real-time. Sources: CoinDesk (Bitcoin), Kraken (all other cryptocurrencies)

Calendars and Economy: 'Actual' numbers are added to the table after economic reports are released. Source: Kantar Media

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