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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      JSON parse error: Column() changed from object to number in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1402, in _parse
                  self.obj = DataFrame(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
                  raise ValueError("All arrays must be of the same length")
              ValueError: All arrays must be of the same length
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1855, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number in row 0
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1433, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1898, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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input_timestamps
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input_window
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output_timestamps
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{ "content": "Analysts Estimate Thor Industries (THO) to Report a Decline in Earnings: What to Look Out for\nBy Zacks Equity Research\nPublished on: 2023-05-30T14:00:06Z\n\nThor Industries (THO) doesn't possess the right combination of the two key ingredients for a likely earnings beat in its upcoming report. Get prepared with the key expectations.\n\nArticle Content:\n\nTHO Quick QuoteTHO\nWall Street expects a year-over-year decline in earnings on lower revenues when Thor Industries (THO Quick QuoteTHO - Free Report) reports results for the quarter ended April 2023. While this widely-known consensus outlook is important in gauging the company's earnings picture, a powerful factor that could impact its near-term stock price is how the actual results compare to these estimates.\nThe earnings report, which is expected to be released on June 6, 2023, might help the stock move higher if these key numbers are better than expectations. On the other hand, if they miss, the stock may move lower.\nWhile the sustainability of the immediate price change and future earnings expectations will mostly depend on management's discussion of business conditions on the earnings call, it's worth handicapping the probability of a positive EPS surprise.\nZacks Consensus Estimate\nThis recreational vehicle maker is expected to post quarterly earnings of $1.13 per share in its upcoming report, which represents a year-over-year change of -82.1%.\nRevenues are expected to be $2.94 billion, down 37% from the year-ago quarter.\nEstimate Revisions Trend\nThe consensus EPS estimate for the quarter has been revised 9.18% lower over the last 30 days to the current level. This is essentially a reflection of how the covering analysts have collectively reassessed their initial estimates over this period.\nInvestors should keep in mind that an aggregate change may not always reflect the direction of estimate revisions by each of the covering analysts.\nEarnings Whisper\nEstimate revisions ahead of a company's earnings release offer clues to the business conditions for the period whose results are coming out. Our proprietary surprise prediction model -- the Zacks Earnings ESP (Expected Surprise Prediction) -- has this insight at its core.\nThe Zacks Earnings ESP compares the Most Accurate Estimate to the Zacks Consensus Estimate for the quarter; the Most Accurate Estimate is a more recent version of the Zacks Consensus EPS estimate. The idea here is that analysts revising their estimates right before an earnings release have the latest information, which could potentially be more accurate than what they and others contributing to the consensus had predicted earlier.\nThus, a positive or negative Earnings ESP reading theoretically indicates the likely deviation of the actual earnings from the consensus estimate. However, the model's predictive power is significant for positive ESP readings only.\nA positive Earnings ESP is a strong predictor of an earnings beat, particularly when combined with a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold). Our research shows that stocks with this combination produce a positive surprise nearly 70% of the time, and a solid Zacks Rank actually increases the predictive power of Earnings ESP.\nPlease note that a negative Earnings ESP reading is not indicative of an earnings miss. Our research shows that it is difficult to predict an earnings beat with any degree of confidence for stocks with negative Earnings ESP readings and/or Zacks Rank of 4 (Sell) or 5 (Strong Sell).\nHow Have the Numbers Shaped Up for Thor Industries?\nFor Thor Industries, the Most Accurate Estimate is higher than the Zacks Consensus Estimate, suggesting that analysts have recently become bullish on the company's earnings prospects. This has resulted in an Earnings ESP of +1.38%.\nOn the other hand, the stock currently carries a Zacks Rank of #4.\nSo, this combination makes it difficult to conclusively predict that Thor Industries will beat the consensus EPS estimate.\nDoes Earnings Surprise History Hold Any Clue?\nAnalysts often consider to what extent a company has been able to match consensus estimates in the past while calculating their estimates for its future earnings. So, it's worth taking a look at the surprise history for gauging its influence on the upcoming number.\nFor the last reported quarter, it was expected that Thor Industries would post earnings of $1.10 per share when it actually produced earnings of $0.50, delivering a surprise of -54.55%.\nOver the last four quarters, the company has beaten consensus EPS estimates three times.\nBottom Line\nAn earnings beat or miss may not be the sole basis for a stock moving higher or lower. Many stocks end up losing ground despite an earnings beat due to other factors that disappoint investors. Similarly, unforeseen catalysts help a number of stocks gain despite an earnings miss.\nThat said, betting on stocks that are expected to beat earnings expectations does increase the odds of success. This is why it's worth checking a company's Earnings ESP and Zacks Rank ahead of its quarterly release. Make sure to utilize our Earnings ESP Filter to uncover the best stocks to buy or sell before they've reported.\nThor Industries doesn't appear a compelling earnings-beat candidate. However, investors should pay attention to other factors too for betting on this stock or staying away from it ahead of its earnings release.\nStay on top of upcoming earnings announcements with the Zacks Earnings Calendar.\nThor Industries, Inc. (THO) - free report >>\nOur experts picked 7 Zacks Rank #1 Strong Buy stocks with the best chance to skyrocket within the next 30-90 days.\nRecent stocks from this report have soared up to +178.7% in 3 months - this month's picks could be even better. See our report's 7 new picks today - it's really free!\nThis page has not been authorized, sponsored, or otherwise approved or endorsed by the companies represented herein. Each of the company logos represented herein are trademarks of Microsoft Corporation; Dow Jones & Company; Nasdaq, Inc.; Forbes Media, LLC; Investor's Business Daily, Inc.; and Morningstar, Inc.\nAt the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system. Since 1988 it has more than doubled the S&P 500 with an average gain of +23.96% per year. These returns cover a period from January 1, 1988 through October 2, 2023. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month. A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zacks Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.\n\nSource: Zacks Investment Research\n", "timestamp_ms": 1685455206000, "published_utc": "2023-05-30T14:00:06", "article_url": "https://www.zacks.com/stock/news/2101419/analysts-estimate-thor-industries-tho-to-report-a-decline-in-earnings-what-to-look-out-for", "label_type": [ "[2][c] Stock Recommendations", "[1][c] Company-Specific News" ], "label_time": [ "[3][a] Short-Term Outlook (Next 3–6 months)", "[2][b] Recent Trends (Past Few Weeks – Ongoing)" ], "label_sentiment": [ "[3][a] Bearish" ] }
{ "input_percentage_change": 1.4124624417648661, "input_bin_label": "-2% ~ +2%", "output_percentage_change": -1.5259710854375441, "output_bin_label": "-2% ~ +2%", "overall_percentage_change": 9.914888243465091, "overall_bin_label": ">+4%" }
{ "in_sma_10": [ 79.19, 79.57499999999999, 79.51833333333333, 79.555, 79.49199999999999, 79.47, 79.47571428571429, 79.41, 79.24777777777778, 79.089, 78.95400000000001, 78.826, 78.8255, 78.884, 79.349, 79.804, 80.22049999999999, 80.69300000000001, 81.23299999999999, 81.652, 81.86999999999999, 81.81700000000001, 81.73499999999999, 81.62349999999999, 81.1375, 80.6385, 80.358, 80.07849999999999, 79.8545, 79.8255, 80.0215, 80.42049999999999, 80.80850000000001, 81.08900000000001, 81.428, 81.73400000000001, 81.8335, 81.98949999999999, 82.1825, 82.2005, 82.161, 82.02000000000001, 81.8145, 81.7145, 81.54249999999999, 81.42249999999999, 81.188, 80.821, 80.403, 79.987, 79.5995, 79.4115, 79.27000000000001, 79.231, 79.136, 79.0175, 78.9845, 79.04749999999999, 79.16475, 79.39675, 79.62375, 79.67974999999998, 79.65775, 79.47125, 79.32374999999999, 79.25425, 79.24875, 79.27289, 79.24464, 79.23464, 79.17914, 79.15364, 79.08914, 78.97464, 78.98914, 78.98064, 78.86907, 78.71493000000001, 78.60092999999999, 78.54443, 78.60243, 78.69143, 78.94793, 79.30193, 79.57193, 79.69993000000001, 80.03299999999999, 80.33099999999999, 80.549, 80.69284999999999, 80.81935000000001, 81.01885, 81.04785000000001, 81.00085, 80.96485, 81.04835, 80.97735, 80.93185000000001, 80.93185000000001, 80.9665, 80.9555, 80.84450000000001, 80.85646, 80.91246, 80.89846, 81.02646000000001, 81.18246, 81.33395999999999, 81.47796, 81.55996, 81.63196, 81.58396, 81.548, 81.483, 81.478, 81.225, 80.956, 80.66400000000002, 80.423, 80.1601, 79.92609999999999, 79.8611, 79.78110000000001, 79.75559999999999, 79.6646, 79.79659999999998, 79.9216, 80.1156, 80.2686, 80.4855, 80.7785 ], "in_sma_50": [ 79.19, 79.57499999999999, 79.51833333333333, 79.555, 79.49199999999999, 79.47, 79.47571428571429, 79.41, 79.24777777777778, 79.089, 78.97545454545455, 78.95083333333334, 78.98538461538462, 79.07571428571428, 79.39666666666668, 79.67875000000001, 79.91382352941177, 80.12277777777778, 80.29263157894736, 80.3705, 80.35380952380953, 80.25363636363636, 80.18086956521739, 80.13729166666667, 80.093, 80.04788461538462, 80.07833333333332, 80.10696428571428, 80.14155172413793, 80.18883333333333, 80.24661290322581, 80.30578125, 80.37106060606061, 80.41720588235295, 80.47442857142858, 80.51625, 80.5527027027027, 80.60236842105263, 80.66487179487179, 80.69175, 80.71353658536586, 80.71392857142857, 80.7067441860465, 80.71204545454545, 80.71177777777778, 80.71326086956522, 80.68787234042553, 80.64791666666666, 80.61142857142858, 80.5508, 80.5212, 80.499, 80.4907, 80.5084, 80.51859999999999, 80.5233, 80.5169, 80.5259, 80.56755, 80.61235, 80.65515, 80.66975000000001, 80.65715, 80.62585, 80.51355000000001, 80.41335, 80.32255, 80.241878, 80.169878, 80.128878, 80.116978, 80.137078, 80.127978, 80.09607799999999, 80.083878, 80.081778, 80.02476399999999, 79.969164, 79.919164, 79.872664, 79.833164, 79.791264, 79.755864, 79.738664, 79.71266399999999, 79.674964, 79.664664, 79.637464, 79.592464, 79.571134, 79.564834, 79.591034, 79.602534, 79.595934, 79.597134, 79.600134, 79.622534, 79.65963400000001, 79.698234, 79.76703400000001, 79.836034, 79.877634, 79.919826, 79.932226, 79.94962600000001, 80.001926, 80.06212599999999, 80.116926, 80.160876, 80.199676, 80.237676, 80.258476, 80.297876, 80.334576, 80.380476, 80.396076, 80.403576, 80.395148, 80.396548, 80.384768, 80.38706800000001, 80.399968, 80.436268, 80.490768, 80.515568, 80.559268, 80.614082, 80.675282, 80.730082, 80.772982, 80.822282 ], "in_sma_200": [ 79.19, 79.57499999999999, 79.51833333333333, 79.555, 79.49199999999999, 79.47, 79.47571428571429, 79.41, 79.24777777777778, 79.089, 78.97545454545455, 78.95083333333334, 78.98538461538462, 79.07571428571428, 79.39666666666668, 79.67875000000001, 79.91382352941177, 80.12277777777778, 80.29263157894736, 80.3705, 80.35380952380953, 80.25363636363636, 80.18086956521739, 80.13729166666667, 80.093, 80.04788461538462, 80.07833333333332, 80.10696428571428, 80.14155172413793, 80.18883333333333, 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{ "content": "Poolsuite NFT: Is This The First NFT To Get Apple Wallet Integration?\nBy Chris Katje\nPublished on: 2022-01-05T19:25:37Z\n\nA non-fungible token launched in late November announced its integration with Apple Wallet Wednesday, which could make it the first NFT to be compatible with Apple Wallet.\nWhat Happened: Internet leisure company Poolsuite launched a collection of NFTs in November. The company offered its “Poolsuite-Executive Member” NFTs for a mint cost of 0.2 Ethereum (CRYPTO: ETH) each.\nThe Executive Member collection is 2,500 NFTs. A smaller more exclusive Poolsuite-Pool Member collection has only 250 NFTs.\nOn Tuesday, Poolsuite teased an announcement coming Wednesday. Here are the details of the announcement.\n“It’s a worldwide web iii exclusive. Add your Poolsuite NFT to your mobile wallet with Poolsuite Wallet Service,” the Poolsuite Twitter account shared Wednesday. “While this may not feel significant just yet, it forms a core piece of our infrastructure and will come into play often in the weeks and months ahead.”\nFormerly known as Poolside FM, the company changed its name to Poolsuite and is becoming increasingly more well-known as ...\n\nArticle Content:\n\nA non-fungible token launched in late November announced its integration with Apple Wallet Wednesday, which could make it the first NFT to be compatible with Apple Wallet.\nWhat Happened: Internet leisure company Poolsuite launched a collection of NFTs in November. The company offered its “Poolsuite-Executive Member” NFTs for a mint cost of 0.2 Ethereum ETH/USD each.\nThe Executive Member collection is 2,500 NFTs. A smaller more exclusive Poolsuite-Pool Member collection has only 250 NFTs.\nOn Tuesday, Poolsuite teased an announcement coming Wednesday. Here are the details of the announcement.\n“It’s a worldwide web iii exclusive. Add your Poolsuite NFT to your mobile wallet with Poolsuite Wallet Service,” the Poolsuite Twitter account shared Wednesday. “While this may not feel significant just yet, it forms a core piece of our infrastructure and will come into play often in the weeks and months ahead.”\nFormerly known as Poolside FM, the company changed its name to Poolsuite and is becoming increasingly more well-known as a pool themed lifestyle brand offering a themed playlist. Poolsuite also branched out into the suntan lotion business recently with Vacation, a new spinoff business line. The company said it has hundreds of thousands of listeners on the internet and Apple Inc AAPL products.\n“As an honored supporter of our beloved corporation, it will be our priority to show you an exceptional time throughout your membership and to shower you with perks and gratitude commensurate with your status as a founding member,” Poolsuite said of its NFTs.\nRelated Link: What Is A Non Fungible Token?\nWhy It’s Important: Poolsuite was launched as a membership offering perks to users. The wallet integration could be another way to show off the exclusive status for members.\n“Brilliant. @poolsuite NFT and membership generated a real card for my Apple wallet. Which has a QR code so I can enter the physical Poolsuite IRL events, quickly scanned in. Digital and physical as one,” technology analyst Jeremiah Owyang shared on Twitter Wednesday.\nThe integration with Apple Wallet appears to be a first in the world of NFTs and was heavily noticed on Twitter Wednesday.\n“Brilliant. Adding my fancy Poolsuite Executive card to my Apple Wallet rn,” investor and entrepreneur Ryan Hoover tweeted.\nApple Wallet was launched in 2012. The offering from Apple to store digital cards has expanded to include Apple Card, a credit card launched by the tech giant in 2014.\nTime will tell if other NFT membership offerings try to integrate within the Apple Wallet ecosystem.\nThe floor price on Poolsuite NFTs quickly rose Wednesday. At the time of writing, the floor price on the Poolsuite Executive Member NFTs was 1.91 ETH, up from 1.48 ETH at 10 a.m. EST. The NFT traded at 0.9 ETH to start 2022. The more exclusive Pool Member NFT has a floor price of 3.45 ETH.\nPoolsuite says the NFT is “your pass to the internet good life.” Holding a Poolsuite NFT shows “esteemed presence” in high society and will offer several perks along ethe way.\nHolders will get early access to future Poosluite projects and a planned Poolsuite token. Holders will also get members only merchandise.\nPhoto courtesy of Poolsuite.\n\nSource: Benzinga\n", "timestamp_ms": 1641410737000, "published_utc": "2022-01-05T19:25:37", "article_url": "https://www.benzinga.com/markets/cryptocurrency/22/01/24912837/poolsuite-nft-is-this-the-first-nft-to-get-apple-wallet-integration", "label_type": [ "[1][c] Company-Specific News", "[2][c] Stock Recommendations" ], "label_time": [ "[1][a] Short-Term Retrospective (≤ 3 months)", "[2][a] Real-Time Market Developments" ], "label_sentiment": [ "[1][a] Bullish" ] }
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178.45463648077228, 177.6432960179433, 176.65007650761623, 175.76416185452362, 174.97078948145602, 174.73111636292595, 174.83014432905668, 174.9991081661949, 175.25395206266833, 175.44226241320823, 175.75134825106286, 176.3779091401546, 176.8197778040426, 177.26687625526108, 177.7359374845432, 178.04369207055265 ], "overall_lower_bb": [ null, 165.00796453172316, 161.7487080483799, 162.307714624673, 162.96846797195724, 163.58492311949698, 164.14718103618418, 164.58568546538717, 164.82308337499234, 164.79799962444903, 164.81912424744263, 165.003979911899, 165.1798230050904, 165.20617892889175, 165.4288321659631, 165.49242902329533, 165.6208973808644, 165.8367500279821, 166.00870427459193, 166.17285057484784, 167.41180788206378, 169.14834588992687, 169.5399344233081, 169.95021702390986, 170.32543499711605, 170.73312357373823, 171.42876624436215, 172.53448021979435, 172.52531708828795, 172.5824648486736, 172.8062680741307, 173.1097348146292, 173.43736293014703, 173.54497659450973, 173.71458305028762, 173.46210129593896, 173.03400458101814, 172.56434651768666, 172.27813506880366, 172.08506460739179, 172.08506460739176, 171.86965061222685, 171.57639088273248, 171.0688050699421, 170.76408954422135, 170.49705729727074, 170.4972104555164, 170.41708430795268, 170.71870610611944, 170.89958562569706, 170.87696831928127, 170.9468158136625, 170.73997878856318, 170.6995177289565, 170.409836866185, 170.24224891327603, 169.88261911369784, 169.5993503115873, 169.49326186816856, 169.35477744165496, 168.450379086918, 167.60267229530967, 167.03073313145458, 166.78967562214666, 166.42509330103067, 166.11623117691147, 166.20117648176966, 166.91069728793767, 167.08232291384786, 167.32560425410193, 167.5779829252193, 167.8271237701538, 167.75033223432945, 167.66368740156506, 167.51768115835213, 167.38546231115967, 167.21299264334402, 167.1292479143813, 167.07189468757267, 166.9114027717011, 167.11259233555845, 167.45056462666096, 167.79739963936444, 167.9811649542566, 168.40390093959252, 168.84984212441466, 169.31530196602793, 169.7171981753715, 170.24977228818298, 170.6401985749463, 171.09503632350476, 171.58628013287756, 171.85998540402056, 172.21721303406557, 172.56407017241168, 172.89964750764537, 173.2940283034969, 173.79035772562082, 174.52813379118464, 175.06052153343933, 175.42921521387777, 175.71548411378132, 176.09744222539925, 176.52324057213093, 177.13509054567734, 177.7153656692507, 178.228804922849, 178.67564104906728, 178.81355712737897, 178.844689993811, 178.81297924260934, 178.79119023408583, 178.47323521568737, 178.28019431563177, 178.13836730442932, 177.87591649480612, 177.62055710306802, 177.35897114317476, 177.22366853903912, 177.14218334833453, 177.01519347157847, 176.84410781473215, 176.71816535222766, 176.53043165118788, 176.45468308667353, 176.321797462583, 176.26213652131864, 176.25914221750168, 176.26943959337382, 176.24930930177527, 176.26552915699762, 176.31882589958005, 176.46722109617556, 176.53403756575133, 176.59509233840114, 176.74299572176096, 176.82562486744578, 176.75504734288023, 176.41357270477192, 175.1961902491591, 174.10894075799564, 173.08228931999886, 172.22723774725674, 171.67983868336506, 171.1228097290868, 170.7934771802785, 170.4637688158897, 169.92739963499994, 169.5860118013759, 169.29287850411137, 169.08895943788522, 169.1969808713727, 168.6997252792856, 168.13210079150792, 167.8501735192277, 167.7920639820567, 168.09646349238375, 168.3433781454764, 168.73375051854399, 168.79992363707402, 168.75239567094332, 168.6864318338051, 168.58527793733165, 168.50646758679173, 168.39238174893714, 168.10982085984534, 168.0122221959574, 167.97112374473886, 167.90706251545683, 167.93980792944734 ] }
inconsistent
[1666113900.0,1666117500.0,1666121100.0,1666187700.0,1666191300.0,1666194960.0,1666198500.0,16662021(...TRUNCATED)
[9.16,9.19,9.14,9.04,9.03,9.04,8.9101,8.91,8.955,8.915,9.1577,9.18,9.06,8.89,8.885,8.883,8.91,8.82,8(...TRUNCATED)
[1668705900.0,1668709500.0,1668713100.0,1668716700.0,1668783300.0,1668786840.0,1668790560.0,16687941(...TRUNCATED)
[11.265,11.45,11.41,11.46,11.66,11.71,11.64,11.49,11.3284,11.395,11.6,11.33,11.17,11.16,11.29,11.255(...TRUNCATED)
{"content":"Can Triumph Group (TGI) Run Higher on Rising Earnings Estimates?\nBy Zacks Equity Resear(...TRUNCATED)
{"input_percentage_change":9.861630481579448,"input_bin_label":">+4%","output_percentage_change":2.0(...TRUNCATED)
{"in_sma_10":[9.16,9.175,9.163333333333334,9.1325,9.112,9.1,9.072871428571428,9.052512499999999,9.04(...TRUNCATED)
consistent
[1647956700.0,1647960300.0,1647963900.0,1647967500.0,1647971100.0,1647974700.0,1647978300.0,16480449(...TRUNCATED)
[76.26,80.74,82.67,82.35,83.495,84.41,84.29,81.26,81.6909,82.99,82.4,80.23,79.22,79.6,79.12,79.68,80(...TRUNCATED)
[1650548700.0,1650552300.0,1650555900.0,1650559500.0,1650563100.0,1650566700.0,1650570300.0,16506369(...TRUNCATED)
[52.63,52.2101,50.315,49.76,49.7,49.515,49.03,48.43,47.27,46.75,46.77,46.26,46.83,47.8021,48.8,48.44(...TRUNCATED)
{"content":"Is Novavax Stock in Trouble?\nBy newsfeedback@fool.com (Prosper Junior Bakiny)\nPublishe(...TRUNCATED)
{"input_percentage_change":-11.15781584705417,"input_bin_label":"<-4%","output_percentage_change":-8(...TRUNCATED)
{"in_sma_10":[76.26,78.5,79.89,80.505,81.103,81.65416666666667,82.0307142857143,81.934375,81.9073222(...TRUNCATED)
inconsistent
[1625578200.0,1625581800.0,1625585400.0,1625589000.0,1625592600.0,1625596200.0,1625599800.0,16256664(...TRUNCATED)
[176.5055,181.1995,181.9285,180.807,182.2915,183.614,183.9848,186.0,185.0309,185.657,185.5013,185.02(...TRUNCATED)
[1628170200.0,1628173800.0,1628177400.0,1628181000.0,1628184600.0,1628188200.0,1628191800.0,16282584(...TRUNCATED)
[167.811,168.9415,168.7338,168.7295,169.067,168.75,168.743,167.921,167.0585,167.0,166.9035,166.7078,(...TRUNCATED)
{"content":"1 Thing the Market Got Wrong in Amazon's Earnings Report\nBy newsfeedback@fool.com (John(...TRUNCATED)
{"input_percentage_change":1.7176774122591703,"input_bin_label":"-2% ~ +2%","output_percentage_chang(...TRUNCATED)
{"in_sma_10":[176.5055,178.85250000000002,179.87783333333334,180.110125,180.5464,181.05766666666668,(...TRUNCATED)
inconsistent
[1648474200.0,1648477620.0,1648481340.0,1648485000.0,1648488600.0,1648492380.0,1648495740.0,16485624(...TRUNCATED)
[27.85,27.55,27.3881,27.18,27.0973,26.99,26.99,26.9708,27.31,27.625,27.85,27.66,28.01,28.15,28.26,28(...TRUNCATED)
[1650979800.0,1650983280.0,1650986940.0,1650990600.0,1650994260.0,1650997740.0,1651001400.0,16510680(...TRUNCATED)
[24.21,23.92,23.895,23.9,23.62,23.77,23.56,23.805,23.67,23.655,23.67,23.54,23.125,23.46,23.1275,23.0(...TRUNCATED)
{"content":"Sterling Construction (STRL) Stock Sinks As Market Gains: What You Should Know\nBy Zacks(...TRUNCATED)
{"input_percentage_change":-5.484777723613973,"input_bin_label":"<-4%","output_percentage_change":-3(...TRUNCATED)
{"in_sma_10":[27.85,27.700000000000003,27.596033333333335,27.492025,27.41308,27.342566666666666,27.2(...TRUNCATED)
consistent
[1640615400.0,1640619000.0,1640622600.0,1640626200.0,1640629800.0,1640633400.0,1640637000.0,16407036(...TRUNCATED)
[357.89,369.6667,368.78,371.0,370.8333,369.2533,364.84,365.6633,362.5667,365.4633,363.54,363.5333,36(...TRUNCATED)
[1643207400.0,1643211000.0,1643214600.0,1643218200.0,1643221800.0,1643225400.0,1643229000.0,16432956(...TRUNCATED)
[317.4767,316.015,316.4733,318.55,319.5267,323.351,312.98,295.1567,291.5,291.0633,288.0,285.78,281.5(...TRUNCATED)
{"content":"The stock of Tesla is being crushed, but it may find support\nBy Motiur Rahman\nPublishe(...TRUNCATED)
{"input_percentage_change":-1.7854036217546783,"input_bin_label":"-2% ~ +2%","output_percentage_chan(...TRUNCATED)
{"in_sma_10":[357.89,363.77835,365.4455666666666,366.83417499999996,367.634,367.90388333333334,367.4(...TRUNCATED)
consistent
[1632231000.0,1632234600.0,1632238200.0,1632241800.0,1632245400.0,1632249000.0,1632252600.0,16323192(...TRUNCATED)
[156.0,156.84,156.81,157.26,157.01,157.02,157.36,161.23,159.97,161.35,160.3801,159.9,159.38,160.95,1(...TRUNCATED)
[1634823000.0,1634826600.0,1634830200.0,1634833800.0,1634837400.0,1634841000.0,1634844600.0,16349112(...TRUNCATED)
[179.36,181.79,180.57,180.1399,180.17,180.68,180.92,181.14,180.48,178.07,178.155,176.9,177.51,176.18(...TRUNCATED)
{"content":"Baidu Inc. (BIDU) Outpaces Stock Market Gains: What You Should Know\nBy Zacks Equity Res(...TRUNCATED)
{"input_percentage_change":2.14435404339251,"input_bin_label":"+2% ~ +4%","output_percentage_change"(...TRUNCATED)
{"in_sma_10":[156.0,156.42000000000002,156.54999999999998,156.7275,156.784,156.82333333333335,156.9,(...TRUNCATED)
inconsistent
[1656336600.0,1656340200.0,1656343800.0,1656347400.0,1656351000.0,1656354600.0,1656358200.0,16564248(...TRUNCATED)
[485.81,479.95,484.1,482.1489,481.74,480.83,481.62,483.38,479.32,472.83,474.73,472.61,470.715,470.95(...TRUNCATED)
[1658842200.0,1658845800.0,1658849400.0,1658853000.0,1658856600.0,1658860200.0,1658863800.0,16589304(...TRUNCATED)
[515.0,517.264,509.73,510.515,514.09,510.08,512.24,513.16,515.66,514.72,515.3844,518.4488,521.73,520(...TRUNCATED)
{"content":"Here is What to Know Beyond Why Costco Wholesale Corporation (COST) is a Trending Stock\(...TRUNCATED)
{"input_percentage_change":3.1668374625724214,"input_bin_label":"+2% ~ +4%","output_percentage_chang(...TRUNCATED)
{"in_sma_10":[485.81,482.88,483.2866666666667,483.002225,482.74978,482.4298166666667,482.31412857142(...TRUNCATED)
consistent
[1687267800.0,1687271400.0,1687275000.0,1687278600.0,1687282200.0,1687285800.0,1687289400.0,16873560(...TRUNCATED)
[45.16,44.85,45.225,45.49,45.4,45.49,45.6,45.46,45.6714,45.845,45.735,45.96,45.845,45.63,45.74,45.48(...TRUNCATED)
[1689601500.0,1689605100.0,1689608700.0,1689612300.0,1689615900.0,1689619500.0,1689623100.0,16896897(...TRUNCATED)
[47.59,47.81,48.065,48.445,48.45,48.52,48.545,48.82,48.64,48.52,48.53,48.52,48.41,48.47,48.535,48.42(...TRUNCATED)
{"content":"Here's Why Unum (UNM) is a Strong Value Stock\nBy Zacks Equity Research\nPublished on: 2(...TRUNCATED)
{"input_percentage_change":4.637095159240582,"input_bin_label":">+4%","output_percentage_change":2.0(...TRUNCATED)
{"in_sma_10":[45.16,45.004999999999995,45.07833333333334,45.18125,45.225,45.26916666666667,45.316428(...TRUNCATED)
consistent
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