Hello! I\u2019m excited about the effort and capacity feature in Workload. I\u2019d like to view the current capacity of a team member on a weekly basis. For example, if I create a custom effort field of Hours, then add Hours and a start and end dates to all Tasks, and set a team member\u2019s weekly capacity hours to 37.5, I\u2019d like to see how close they are to 37.5 this week after I\u2019ve assigned them all of their Tasks. Right now, I can see the daily capacity in the Hover States on Workload, but I can\u2019t see weekly capacity.
\n![\":slight_smile:\"](\"https://emoji.discourse-cdn.com/twitter/slight_smile.png?v=12\" "\\":slight_smile:\\"")
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\nBasic Stats
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\n| Short Interest | \n\n9,448,374 shares\n- source: NYSE\n\n | \n
| Short Interest Ratio | \n5.11\nDays to Cover | \n
| Short Interest % Float | \n\n12.25\n%\n- \nsource: NYSE (short interest), Capital IQ (float)\n | \n
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\n| Off-Exchange Short Volume | \n220,817 shares\n- source: FINRA (inc. Dark Pool volume)\n | \n
| Off-Exchange Short Volume Ratio | \n46.49\n%\n- source: FINRA (inc. Dark Pool volume)\n | \n
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\nIntroduction
\n\nThis short interest tracker provides a variety of short interest related data, sourced from a variety of partners. The data is organized by frequency of updates, with intraday data at the top (short shares availability, short borrow fee rate), daily data (short volume, fails-to-deliver) in the middle, and the slowest updated data (short interest) at the bottom. Note that short interest is published twice-monthly, on a schedule set by FINRA.\n
\n\nWhere does Fintel get its data? We source our short interest data from a variety of providers. The Short Interest figures we provide are sourced directly from the stock exchanges (NASDAQ, NYSE, NYSE American, NYSE Arca, CBOE, and IEX) and FINRA. This is the official data and covers a broad spectrum of the market. We do not source short interest from a single broker. For Canadian, Australian, and Hong Kong markets, the short interest is published by the regulatory agencies of those countries. We get this data directly from those agencies on a daily or twice-weekly basis. The float and shares outstanding we use are sourced from Capital IQ, which is one of the top firms that provide this data.\n
\n\nIs short interest self-reported, and therefore unreliable? Short interest is not self-reported. FINRA and U.S. exchange rules require that brokerage firms report short interest data to FINRA on a per-security basis for all customer and proprietary firm accounts twice a month, around the middle of the month and again at the end of each month. See Short Interest \u2014 What It Is, What It Is Not. for more information.\n
\n\nAre dark pool trades counted in short interest figures? Yes, they are. The primary difference between a dark pool and a lit exchange is that pre-trade information such as bid/ask are not available. However, once a trade is made, dark pool trades are published on the tape and tracked like every other trade. When it is time to report, any open short positions are reported, no matter what type of trading venue those shares were acquired on.\n
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\nShort Squeeze Score
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\n\n\nThe Short Squeeze Score is the result of a sophisticated, multi-factor quantitative model that identifies companies that have the highest risk of experiencing a short squeeze. The scoring model uses a combination of short interest, float, short borrow fee rates, and other metrics. The number ranges from 0 to 100, with higher numbers indicating a higher risk of a short squeeze relative to its peers, and 50 being the average.\n
\n\nJune 8, 2022 - We have updated our scoring model to include (Float - Short Interest) as a ranking factor. This is the raw number of shares available to trade that have not been shorted. It can be thought of as a \"utilization\" metric.
Explanation: If two companies both have 25% short float, but one has 10M unshorted shares floating and the other has 200M unshorted shares floating, the first one is clearly more susceptible to a short squeeze. The effect of this change is that the updated model will favor low-float companies over others, all other things being equal.\n
Update Frequency: Intraday
\n\nSee our Short Squeeze Leaderboards for US, Canada, Australia and Hong Kong\n
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\nShort Borrow Fee Rates
\n\nASAN / Asana, Inc. short borrow fee rates are shown in the following table. This table shows the interest rate that must be paid by a short seller of US:ASAN to the lender of that security. This fee is shown as an annual percentage rate (APR). Lenders are funds or individuals that own the security that have indicated to the broker that they are willing to lend it out. Dividends paid to a shorted security go to the owner/lender of the security, not to the borrower.\n
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- Start, Min, Max, Latest (Borrow Rates) \n
- \nThese represent borrow rates for the day, with the rate at the start of the day, the end of the day (or the latest for the current day), the minimum rate in the day, and the maximum rate for the day. Unlike the Options Implied Borrow Rates, our source for this data always presents them as positive numbers, and they represent an annualized interest rate that is paid by the borrower for the shares.\n \n
Update Frequency: Intraday every 30 minutes.\n
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\n\nLast update\n: 8 minutes ago\n
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\nSee companies with the highest Short Borrow Fee Rate\n
\n| Date | \nStart | \nMin | \nMax | \nLatest | \n
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| No data available |
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\nShort Sale Volume (Off-Exchange Provided by FINRA)
\n\nASAN / Asana, Inc. off-exchange short sale volume is shown in the following chart. Short Sale volume shows the number of trades marked as short sales in various trading venues. For more information on how to interpret this data, read this information notice provided by FINRA.\n
\nUpdate Frequency: Daily at Close of Day
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- FINRA Non-Exempt Volume
- Number of short shares traded. This number is not provided by FINRA but we calculate it by subtracting the \"Exempt\" from the \"Short Volume\"
- FINRA Exempt Volume
- Number of short shares sold that were exempt from the uptick rule. This is provided by FINRA. This number is included in both the \"Short Volume\" and \"Total Volume\" numbers. \n
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- FINRA Short Volume
- Number of short shares traded reported by FINRA. This includes both the exempt and non-exempt.
- FINRA Total Volume
- Total shares traded off exchange reported by FINRA
- FINRA Short Volume Ratio
- FINRA Short Volume / FINRA Total Volume \n
| Market Date | \nFINRA Non-Exempt Volume | \n\n | FINRA Exempt Volume | \n\n | FINRA Short Volume | \n\n | FINRA Total Volume | \n\n | FINRA Short Volume Ratio | \n
|---|---|---|---|---|---|---|---|---|---|
| 2024-02-14 | \n216,791 | \n+ | \n4,026 | \n= | \n220,817 | \n/ | \n474,960 | \n= | \n46.49 | \n
| 2024-02-13 | \n444,447 | \n+ | \n7,767 | \n= | \n452,214 | \n/ | \n661,690 | \n= | \n68.34 | \n
| 2024-02-12 | \n329,559 | \n+ | \n9,333 | \n= | \n338,892 | \n/ | \n525,843 | \n= | \n64.45 | \n
| 2024-02-09 | \n258,891 | \n+ | \n4,427 | \n= | \n263,318 | \n/ | \n697,541 | \n= | \n37.75 | \n
| 2024-02-08 | \n289,369 | \n+ | \n7,434 | \n= | \n296,803 | \n/ | \n612,344 | \n= | \n48.47 | \n
| 2024-02-07 | \n169,024 | \n+ | \n3,533 | \n= | \n172,557 | \n/ | \n321,080 | \n= | \n53.74 | \n
| 2024-02-06 | \n230,301 | \n+ | \n446 | \n= | \n230,747 | \n/ | \n452,387 | \n= | \n51.01 | \n
| 2024-02-05 | \n271,007 | \n+ | \n2,091 | \n= | \n273,098 | \n/ | \n477,571 | \n= | \n57.18 | \n
| 2024-02-02 | \n315,907 | \n+ | \n1,354 | \n= | \n317,261 | \n/ | \n559,134 | \n= | \n56.74 | \n
| 2024-02-01 | \n321,071 | \n+ | \n1,331 | \n= | \n322,402 | \n/ | \n522,289 | \n= | \n61.73 | \n
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\nShort Sale Volume (Combined Exchange + Off-Exchange )
\n\nThe combined on-exchange and off-exchange short sale volume for ASAN / Asana, Inc. is provided in the table below. In order to calculate an accurate short volume ratio, we gather data from a number of trading venues, but not ALL trading venues. This is important because it means the aggregate short and total volume columns do not show the actual volumes across all trading venues, but just the venues we track.\n
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- FINRA Short Volume
- Number of short shares traded off-exchange reported by FINRA. This includes both the exempt and non-exempt.
- CBOE Short Volume
- Number of short shares traded reported by CBOE
- PSX/BX Short Volume
- Number of short shares traded reported by NASDAQ on the PSX/BX trading venues \n
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- Aggregate Short Volume
- FINRA Short Volume + CBOE Short Volume + PSX/BX Short Volume. This is not the total short volume on all trading venues.
- Aggregate Total Volume
- FINRA Total Volume + CBOE Total Volume + PSX/BX Total Volume. This is not total volume on all trading venues.
- Aggregate Short Volume Ratio
- Aggregate Short Volume / Aggregate Total Volume \n
* Aggregate short volume and aggregate total volume column does not show the actual total volume across all trading venues, but just the venues we track.
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\nFind more short volume data here.\n\n
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\nFails-To-Deliver
\n\nThe values of total fails-to-deliver shares represent the aggregate net balance of shares that failed to be delivered as of a particular settlement date. Fails to deliver on a given day are a cumulative number of all fails outstanding until that day, plus new fails that occur that day, less fails that settle that day. The figure is not a daily amount of fails, but a combined figure that includes both new fails on the reporting day as well as existing fails. In other words, these numbers reflect aggregate fails as of a specific point in time, and may have little or no relationship to yesterdays aggregate fails. Thus, it is important to note that the age of fails cannot be determined by looking at these numbers.If all shares were delivered on a particular day, then there will be no entry in the table.\n
\nUpdate Frequency: SEC publishes daily data in batches that are delivered twice monthly and lagged about two weeks. So, for example, daily data for the month of March would arrive around mid April.
\nThis data is NOT split-adjusted - it reflects the raw data provided by the SEC.
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\n\n![\"ASAN](\"https://images.fintel.io/us-asanfails-to-deliver.png\")
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\n| Date | \nPrice | \nQuantity | \nValue | \n
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| 2024-01-12 | \n\n18.57 | \n69,005 | \n\n1,281,422.85\n | \n
| 2024-01-09 | \n\n18.02 | \n15,272 | \n\n275,201.44\n | \n
| 2023-12-28 | \n\n19.45 | \n3,900 | \n\n75,855.00\n | \n
| 2023-12-21 | \n\n18.76 | \n112,135 | \n\n2,103,652.60\n | \n
| 2023-12-20 | \n\n19.97 | \n73,146 | \n\n1,460,725.62\n | \n
| 2023-12-19 | \n\n20.03 | \n117,988 | \n\n2,363,299.64\n | \n
| 2023-12-18 | \n\n20.18 | \n582 | \n\n11,744.76\n | \n
| 2023-12-15 | \n\n20.41 | \n4,560 | \n\n93,069.60\n | \n
| 2023-12-14 | \n\n19.92 | \n11,853 | \n\n236,111.76\n | \n
| 2023-12-13 | \n\n18.82 | \n14,911 | \n\n280,625.02\n | \n
| 2023-12-12 | \n\n19.41 | \n50 | \n\n970.50\n | \n
| 2023-12-11 | \n\n19.44 | \n275,063 | \n\n5,347,224.72\n | \n
| 2023-12-08 | \n\n18.72 | \n529,049 | \n\n9,903,797.28\n | \n
| 2023-12-07 | \n\n19.42 | \n92,961 | \n\n1,805,302.62\n | \n
| 2023-12-06 | \n\n23.31 | \n67 | \n\n1,561.77\n | \n
| 2023-12-05 | \n\n22.81 | \n100 | \n\n2,281.00\n | \n
| 2023-11-21 | \n\n21.84 | \n11,321 | \n\n247,250.64\n | \n
| 2023-11-17 | \n\n20.99 | \n837 | \n\n17,568.63\n | \n
| 2023-11-16 | \n\n21.31 | \n310 | \n\n6,606.10\n | \n
| 2023-11-15 | \n\n20.97 | \n1,173 | \n\n24,597.81\n | \n
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\nASAN Short Interest (Daily Fintel Updates)
\n\nThis section uses the official NYSE-supplied short interest and provides some value-added metrics, calculated daily. Short Interest is updated twice monthly on set schedule, but float can be updated more frequently (although it does not change every day), so we provide daily updates of the Short Interest % Float for the last fifteen days. Days To Cover is calculated daily based on the most recent five day trading volume.\n
\nUpdate Frequency: Short Interest - Twice Monthly. Float - Daily (although changes infrequently) Short Interest Publication Schedule
\nThis data is split-adjusted.
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\nSee companies with highest Short Interest as a Percent of Float\n
\n| Market Date | \nShort Interest (Shares) | \nDays to Cover | \nFloat (MM Shares) | \nFloat less SI (MM Shares) | \nShort Interest % Float | \n
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| 2024-02-14 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-02-13 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-02-12 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-02-09 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-02-08 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-02-07 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-02-06 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-02-05 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-02-02 | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
Source: Short Interest provided by NYSE-Shares Outstanding and Shares Float provided by Capital IQ.
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\nShort Interest (Official NYSE Data)
\n\nThis data is the official short interest data, as provided by NYSE. Short Interest is the total number of open short positions of a security. Days to Cover is the short interest divided by the average volume. The Days to Cover listed here is the official value provided by the NYSE and may differ from the Days To Cover published elsewhere on Fintel because we use a shorter lookback period when calculating average volume.\n
\nUpdate Frequency: Twice Monthly
\nThis data is NOT split-adjusted - it reflects the raw data provided by the exchange.
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\nSee companies with highest Short Interest as a Percent of Float\n
\n| Settlement Date | \nShort Interest | \nPercent Change | \nDays to Cover | \nFloat (MM Shares) | \nShort Interest % of Float | \nShares Outstanding (MM Shares) | \nShort Interest % of SO | \n
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| 2024-01-31 | \n\n9,448,374\n | \n\n-8.55\n | \n\n6.22\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2024-01-12 | \n\n10,331,258\n | \n\n5.16\n | \n\n4.35\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-12-29 | \n\n9,824,624\n | \n\n-3.82\n | \n\n4.96\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-12-15 | \n\n10,214,430\n | \n\n11.73\n | \n\n2.35\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-11-30 | \n\n9,141,981\n | \n\n0.57\n | \n\n6.04\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-11-15 | \n\n9,089,952\n | \n\n-11.01\n | \n\n4.18\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-10-31 | \n\n10,215,003\n | \n\n4.31\n | \n\n4.09\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-10-13 | \n\n9,793,165\n | \n\n-3.82\n | \n\n3.37\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-09-29 | \n\n10,182,203\n | \n\n-7.63\n | \n\n3.20\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-09-15 | \n\n11,023,712\n | \n\n17.00\n | \n\n3.04\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-08-31 | \n\n9,421,674\n | \n\n5.52\n | \n\n4.74\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-08-15 | \n\n8,928,399\n | \n\n-10.71\n | \n\n4.83\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-07-31 | \n\n9,999,778\n | \n\n1.13\n | \n\n5.13\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-07-14 | \n\n9,888,433\n | \n\n1.84\n | \n\n4.25\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-06-30 | \n\n9,710,136\n | \n\n-15.26\n | \n\n3.19\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-06-15 | \n\n11,458,784\n | \n\n-3.29\n | \n\n3.21\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-05-31 | \n\n11,848,184\n | \n\n4.09\n | \n\n5.06\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-05-15 | \n\n11,383,066\n | \n\n2.08\n | \n\n6.87\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-04-28 | \n\n11,150,585\n | \n\n5.89\n | \n\n7.64\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-04-14 | \n\n10,530,102\n | \n\n-7.11\n | \n\n6.27\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-03-31 | \n\n11,335,983\n | \n\n-2.51\n | \n\n4.97\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-03-15 | \n\n11,627,559\n | \n\n-17.27\n | \n\n1.62\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-02-28 | \n\n14,054,843\n | \n\n4.88\n | \n\n6.02\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-02-15 | \n\n13,401,076\n | \n\n34.23\n | \n\n3.79\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-01-31 | \n\n9,983,740\n | \n\n2.96\n | \n\n3.32\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2023-01-13 | \n\n9,697,129\n | \n\n-2.97\n | \n\n2.71\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-12-30 | \n\n9,993,709\n | \n\n-25.19\n | \n\n3.59\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-12-15 | \n\n13,359,125\n | \n\n0.46\n | \n\n2.26\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-11-30 | \n\n13,298,315\n | \n\n-11.51\n | \n\n4.32\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-11-15 | \n\n15,027,846\n | \n\n-2.32\n | \n\n4.26\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-10-31 | \n\n15,384,522\n | \n\n-3.47\n | \n\n5.90\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-10-14 | \n\n15,937,667\n | \n\n-4.87\n | \n\n4.10\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-09-30 | \n\n16,753,554\n | \n\n-10.08\n | \n\n3.65\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-09-15 | \n\n18,630,847\n | \n\n23.47\n | \n\n2.24\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-08-31 | \n\n15,088,834\n | \n\n14.89\n | \n\n5.53\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-08-15 | \n\n13,133,269\n | \n\n-5.53\n | \n\n4.80\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-07-29 | \n\n13,902,232\n | \n\n4.62\n | \n\n4.56\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-07-15 | \n\n13,287,983\n | \n\n5.07\n | \n\n4.76\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-06-30 | \n\n12,646,542\n | \n\n-6.83\n | \n\n3.92\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-06-15 | \n\n13,572,999\n | \n\n-12.25\n | \n\n2.87\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-05-31 | \n\n15,467,677\n | \n\n-15.68\n | \n\n3.55\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-05-13 | \n\n18,344,614\n | \n\n-1.63\n | \n\n2.88\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-04-29 | \n\n18,648,826\n | \n\n1.67\n | \n\n5.07\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-04-14 | \n\n18,343,274\n | \n\n4.75\n | \n\n5.11\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-03-31 | \n\n17,511,160\n | \n\n2.01\n | \n\n2.79\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-03-15 | \n\n17,166,864\n | \n\n0.91\n | \n\n2.70\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-02-28 | \n\n17,012,649\n | \n\n0.22\n | \n\n3.07\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-02-15 | \n\n16,974,967\n | \n\n11.99\n | \n\n3.39\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-01-31 | \n\n15,157,923\n | \n\n34.60\n | \n\n3.08\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2022-01-14 | \n\n11,261,276\n | \n\n31.83\n | \n\n3.11\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-12-31 | \n\n8,542,179\n | \n\n-13.61\n | \n\n2.41\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-12-15 | \n\n9,888,422\n | \n\n53.60\n | \n\n1.75\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-11-30 | \n\n6,437,583\n | \n\n18.63\n | \n\n1.77\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-11-15 | \n\n5,426,502\n | \n\n0.93\n | \n\n2.53\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-10-29 | \n\n5,376,388\n | \n\n-7.05\n | \n\n1.89\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-10-15 | \n\n5,784,128\n | \n\n14.86\n | \n\n2.39\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-09-30 | \n\n5,036,026\n | \n\n1.54\n | \n\n1.17\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-09-15 | \n\n4,959,665\n | \n\n2.18\n | \n\n1.45\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-08-31 | \n\n4,853,859\n | \n\n-6.53\n | \n\n3.85\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-08-13 | \n\n5,192,973\n | \n\n-3.22\n | \n\n4.52\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-07-30 | \n\n5,365,753\n | \n\n-7.31\n | \n\n3.20\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-07-15 | \n\n5,789,104\n | \n\n-3.08\n | \n\n3.00\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-06-30 | \n\n5,973,125\n | \n\n17.13\n | \n\n1.26\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-06-15 | \n\n5,099,463\n | \n\n-26.12\n | \n\n1.82\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-05-28 | \n\n6,902,162\n | \n\n13.08\n | \n\n6.44\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-05-14 | \n\n6,103,992\n | \n\n19.16\n | \n\n6.62\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-04-30 | \n\n5,122,679\n | \n\n15.33\n | \n\n7.90\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-04-15 | \n\n4,441,568\n | \n\n-14.55\n | \n\n5.68\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-03-31 | \n\n5,197,933\n | \n\n77.21\n | \n\n2.80\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-03-15 | \n\n2,933,203\n | \n\n113.09\n | \n\n1.99\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-02-26 | \n\n1,376,513\n | \n\n-13.47\n | \n\n1.16\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-02-12 | \n\n1,590,793\n | \n\n2.53\n | \n\n2.31\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-01-29 | \n\n1,551,515\n | \n\n-12.36\n | \n\n1.17\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
| 2021-01-15 | \n\n1,770,315\n | \n\n2.92\n | \n\n1.00\n | \n\n\n | \n\n\n | \n\n\n | \n\n\n | \n
Source: Short Interest provided by NYSE-Shares Outstanding and Shares Float provided by Capital IQ.
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