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<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Spill_the_USDT</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<div class="cell cell-markdown">
<h1 id="Introduction">Introduction<a class="anchor-link" href="#Introduction">¶</a></h1><p>In the vast landscape of cryptocurrencies, stablecoins have emerged as a crucial element bridging the gap between traditional fiat currencies and the digital realm. Among these stablecoins, Tether (USDT) has gained substantial popularity due to its wide adoption and prominence in various blockchain ecosystems. One such ecosystem where USDT has made significant strides is NEAR, an open-source platform that enables developers to build decentralized applications (dApps) and smart contracts.</p>
<p>This analysis delves into the realm of USDT usage on the NEAR blockchain, seeking to unravel key metrics and discern the underlying factors driving recent developments. By examining three vital metrics over the past 7, 14, and 30 days, we aim to present a comprehensive understanding of the trends and shed light on potential causes. Furthermore, we explore how external market conditions and ongoing research might be influencing the adoption, usage, and exchange of USDT within the NEAR ecosystem.</p>
</div>
<div class="cell cell-markdown">
<h1 id="Methodology">Methodology<a class="anchor-link" href="#Methodology">¶</a></h1><p>In this analysis, we selected three key metrics to comprehensively understand USDT usage on NEAR:</p>
<ul>
<li>USDT Swap transactions,</li>
<li>Active USDT Trader</li>
<li>USDT Swap Volume.</li>
</ul>
<p>We analyzed these metrics for the past 7, 14, and 30 days to identify trends and patterns, comparing the data across different time periods to uncover notable changes or fluctuations. Statistical analysis was conducted, and the data was visualized using charts and graphs to enhance comprehension of the trends.</p>
<p>We will use data from near.core.ez_dex_swaps table in flipsidecrypto db.</p>
<p>Used SQL:</p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/10bf0728-aace-4c77-9a83-7f4533338922/data/latest">https://api.flipsidecrypto.com/api/v2/queries/10bf0728-aace-4c77-9a83-7f4533338922/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/189d2ab1-dfd4-47e2-9193-bcc5acd11a88/data/latest">https://api.flipsidecrypto.com/api/v2/queries/189d2ab1-dfd4-47e2-9193-bcc5acd11a88/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/8c47c966-6f6e-4603-b809-0940db3752b5/data/latest">https://api.flipsidecrypto.com/api/v2/queries/8c47c966-6f6e-4603-b809-0940db3752b5/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/1fd0f8d5-4dfb-43cc-9407-d1914977f2ad/data/latest">https://api.flipsidecrypto.com/api/v2/queries/1fd0f8d5-4dfb-43cc-9407-d1914977f2ad/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/76096db6-c1c6-4864-a18f-99b399c95141/data/latest">https://api.flipsidecrypto.com/api/v2/queries/76096db6-c1c6-4864-a18f-99b399c95141/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/4fcd153f-2c7f-4297-ad63-6f7f6fb972ca/data/latest">https://api.flipsidecrypto.com/api/v2/queries/4fcd153f-2c7f-4297-ad63-6f7f6fb972ca/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/e8af666f-82d8-4f5f-91dd-b7f0804f7bce/data/latest">https://api.flipsidecrypto.com/api/v2/queries/e8af666f-82d8-4f5f-91dd-b7f0804f7bce/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/76d1e8ed-cef3-4f7c-9832-597155423ef1/data/latest">https://api.flipsidecrypto.com/api/v2/queries/76d1e8ed-cef3-4f7c-9832-597155423ef1/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/b27c774a-0dd5-4d75-92b7-9fe20fd35578/data/latest">https://api.flipsidecrypto.com/api/v2/queries/b27c774a-0dd5-4d75-92b7-9fe20fd35578/data/latest</a></p>
<p><a href="https://api.flipsidecrypto.com/api/v2/queries/1efc9d78-9468-4cc8-b269-ccfe0e4c5cd1/data/latest">https://api.flipsidecrypto.com/api/v2/queries/1efc9d78-9468-4cc8-b269-ccfe0e4c5cd1/data/latest</a></p>
</div>
<div class="cell cell-markdown">
<h1 id="Swap-Metrics">Swap Metrics<a class="anchor-link" href="#Swap-Metrics">¶</a></h1>
</div><div class="cell code-cell code-cell-no-input">
<hr class="output-separator">
<div class="">
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<p>The provided data presents insights into the USDT swap activities on the NEAR platform over different time periods. Specifically, the information highlights the number of traders, the number of swaps, and the volume in USD for 30-day, 14-day, and 7-day intervals.</p>
<p>In the 30-day period, there were 1234 traders participating in USDT swaps on NEAR, conducting a total of 21221 swaps. The volume of USD involved in these swaps amounted to 3,826,075.3882 USD.</p>
<p>Within the 14-day timeframe, the number of traders decreased to 770, but the number of swaps remained substantial at 10829. The volume of USD involved in these swaps during this period was 2,016,980.520984 USD.</p>
<p>Moving to the 7-day duration, the number of traders decreased further to 442, with a corresponding decrease in the number of swaps to 6488. The volume of USD involved in these swaps was 1,108,341.706062 USD.</p>
<p>From the data, it can be observed that the number of traders engaging in USDT swaps on NEAR decreased as the time intervals became shorter. However, the number of swaps remained relatively consistent, indicating that the traders who continued to participate were actively engaging in a substantial number of swaps. Additionally, the volume of USD involved in the swaps decreased as the time intervals became shorter, which may indicate a change in trading activity or market conditions.</p>
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<p>The provided data presents insights into the USDT swap activities on the NEAR platform over the course of the last 30 days. The information includes the date, the number of traders, the number of swaps, and the volume in USD for each respective day.</p>
<p>Throughout the 30-day period, the number of traders varied from 75 to 148, indicating some fluctuations in participation. On the first day, there were 95 traders involved in USDT swaps, and this number reached its peak on the 25th day with 148 traders. Overall, the number of traders remained relatively stable, ranging between 75 and 148.</p>
<p>Similarly, the number of swaps also fluctuated during this period. The lowest number of swaps recorded was 257, while the highest reached 1782 swaps. It can be observed that the number of swaps generally increased as the number of traders increased. This suggests that more traders actively participated in swaps, leading to a higher volume of overall trading activity.</p>
<p>The volume of USD involved in the swaps also varied throughout the 30-day period. The lowest recorded volume was 29,458.37 USD, while the highest was 355,386.27 USD. The data shows that the volume of USD fluctuated alongside the number of swaps and traders. Days with higher numbers of swaps and traders often corresponded to higher volumes of USD involved in the swaps.</p>
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<p>The provided data presents insights into the USDT swap activities on the NEAR platform over the last 14 days. The information includes the date, the number of traders, the number of swaps, and the volume in USD for each respective day.</p>
<p>Over the 14-day period, the number of traders engaging in USDT swaps on NEAR varied between 75 and 148. On the first day, there were 95 traders involved, and the highest number of traders recorded was 148 on the 25th day. The number of traders fluctuated during this period, indicating variations in participation levels.</p>
<p>Similarly, the number of swaps varied throughout the 14-day timeframe. The lowest number of swaps recorded was 255, while the highest number reached 1782 swaps. There were fluctuations in the number of swaps, with some days experiencing higher trading activity than others.</p>
<p>The volume of USD involved in the swaps also fluctuated during the 14-day period. The lowest recorded volume was 29,408.90 USD, while the highest was 355,386.27 USD. The data shows that the volume of USD involved in the swaps varied along with the number of swaps and traders. Days with higher numbers of swaps and traders often corresponded to higher volumes of USD involved in the swaps.</p>
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}}
}) }; }); </script> </div>
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<p>The given data presents information on the USDT swap activities on the NEAR platform over the last 7 days. The data includes the date, the number of traders, the number of swaps, and the volume in USD for each respective day.</p>
<p>Between the dates of 2023-06-04 and 2023-06-10, the number of traders engaging in USDT swaps on NEAR ranged from 94 to 137. The lowest number of traders recorded was 94 on 2023-06-08, while the highest number was 137 on 2023-05-29. The number of traders varied throughout the week, suggesting fluctuations in the participation levels of traders.</p>
<p>During the same 7-day period, the number of swaps conducted ranged from 440 to 1782. The lowest number of swaps occurred on 2023-06-04, with 440 swaps, while the highest number of swaps occurred on 2023-06-10, with 1782 swaps. These fluctuations indicate variations in the trading activity of USDT swaps on NEAR during the week.</p>
<p>The volume of USD involved in the swaps also showed variations during the last 7 days. The lowest recorded volume was 29,408.90 USD on 2023-06-08, and the highest volume reached 355,386.27 USD on 2023-06-07. The volume of USD involved in the swaps fluctuated, reflecting changes in trading volumes and market activity during the week.</p>
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<h1 id="Swap-to-USDT---Last-30-days">Swap to USDT - Last 30 days<a class="anchor-link" href="#Swap-to-USDT---Last-30-days">¶</a></h1>
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<p>The provided data presents information on the weekly token inflow and the number of traders for various tokens during a specific period. The data is organized in a tabular format, and it covers multiple weeks from May to June 2023.</p>
<p>Overall, the number of traders and token inflow varied across different weeks and tokens. Some tokens consistently attracted a high number of traders, while others had a lower level of participation.</p>
<p>In the week of June 5, 2023, the token "TAO" had the highest number of traders, with a total of 9 participants. Additionally, the tokens "nUSDO" and "marmaj" each attracted 1 trader. However, for some tokens, the data indicates no specific token name, but rather a null value.</p>
<p>Examining the week of May 29, 2023, it can be observed that the token "USDC.e" garnered the most significant participation, with 95 traders. Following that, "REF" had 14 traders, "SWEAT" and "HAPI" each had 8 traders, and "PXT" had 3 traders. Similarly, other tokens such as "Stnear" and "USN" received moderate attention from traders during this week.</p>
<p>Analyzing the data for the week of May 22, 2023, the token "Stnear" attracted the highest number of traders, with 7 participants. It was closely followed by "Aurora" and "$META," each with 5 traders. Other tokens such as "HAPI," "PXT," and "Marmaj" had a modest number of traders during this period.</p>
<p>Moving on to the week of May 15, 2023, the token "wNEAR" gained the highest trader participation, with 92 individuals. Furthermore, "USN" had 21 traders, "Dai" had 22 traders, and "PEM" had 16 traders. Notably, some tokens such as "YNP" and "WBTC" had minimal participation, each with only 1 trader.</p>
<p>Lastly, in the week of May 8, 2023, "USDC.e" had the most significant number of traders, with 46 participants. Other tokens like "Aurora," "HAPI," and "Stnear" attracted a moderate level of trader engagement, while several tokens had only a few or even a single trader.</p>
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<p>The given chart presents information regarding the number of swaps for various tokens on a weekly basis. The data spans a period from May 8th, 2023, to June 5th, 2023. The tokens mentioned in the chart include TAO, nUSDO, OIN, BRRR, REF, STNEAR, marmaj, WOO, Cheddar, PARAS, $META, AVRIT, ELT, SWEAT, WBTC, HAPI, USN, PXT, MYRIA, PEM, USDC.e, AURORA, WETH, USDt, and DAI.</p>
<p>Analyzing the data, it is evident that the number of swaps varied for different tokens throughout the weeks. In the first week, TAO had the highest number of swaps at 13, followed by nUSDO with 5 swaps. Meanwhile, the token with the highest number of swaps in the second week was REF with 18 swaps, while the token with the lowest number of swaps was OIN with only 1 swap.</p>
<p>Moreover, certain tokens had consistent or increasing numbers of swaps over the weeks. For instance, $META experienced a significant increase in swaps, rising from 80 in the first week to 112 in the last week of the given period. Similarly, HAPI witnessed a consistent increase, starting at 36 swaps and reaching 154 swaps by the end of the period. Additionally, USDC.e had the highest number of swaps, starting at 501 and increasing to 219 in the last week.</p>
<p>On the other hand, some tokens had fluctuating numbers of swaps throughout the weeks. Cheddar, for example, had 3 swaps in the first week, 4 swaps in the second week, and 1 swap in the last week. Similarly, AURORA experienced fluctuations, reaching a peak of 40 swaps in the last week but also having weeks with 9 and 31 swaps.</p>
<p>In conclusion, the chart illustrates the variations in the number of swaps for different tokens on a weekly basis over a given period. The data indicates both consistent and fluctuating patterns in the swapping activity of the tokens.</p>
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<p>The provided chart presents the weekly volume of various tokens in terms of USD for the period from May 8th, 2023, to June 5th, 2023. The tokens include TAO, nUSDO, DAI, HAPI, $META, marmaj, WOO, BRRR, REF, AURORA, MYRIA, WBTC, Cheddar, PARAS, USDC.e, PXT, WETH, AVRIT, STNEAR, SWEAT, USN, PEM, wNEAR, MERITOCRACY, YNP, and OIN.</p>
<p>Among these tokens, DAI had the highest weekly volume on May 15th, 2023, reaching 7484.508214 USD. Following DAI, the tokens with the highest volumes were USDC.e on May 8th, 2023, with a volume of 26902.920934 USD, and wNEAR on May 15th, 2023, with a volume of 187759.194027 USD.</p>
<p>On the other hand, some tokens had considerably lower volumes. For example, on May 8th, 2023, BRRR and MERITOCRACY had volumes of only 0.000006 USD and 0.000096 USD, respectively.</p>
<p>Throughout the observed period, there were fluctuations in the volumes of different tokens. For instance, HAPI experienced a significant increase in volume from May 15th, 2023, to June 5th, 2023, rising from 322.8965 USD to 1533.27745 USD.</p>
<p>In conclusion, the chart illustrates the weekly volumes of various tokens in terms of USD. It reveals variations in token volumes over time, with DAI, USDC.e, and wNEAR exhibiting the highest volumes during the given period. Conversely, tokens such as BRRR and MERITOCRACY had significantly lower volumes.</p>
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<p>According to the chart, the token "wNEAR" had the highest volume in USD, amounting to 708,018.231328. This indicates that wNEAR is the most actively traded token in terms of value when being converted to USDT. The high volume suggests a significant amount of liquidity and trading activity associated with wNEAR.</p>
<p>Following closely behind is "USDt" with a volume of 575,245.979675 USD. As USDT itself is a stablecoin, the substantial volume of conversions to USDT reflects its widespread usage as a means to access a stable value. The popularity of USDt further indicates its status as a reliable asset in the trading community.</p>
<p>The token "USDC.e" ranks third in terms of volume, with 511,316.753161 USD. This suggests that USDC.e is also frequently converted to USDT, indicating its popularity as a trading pair and its liquidity in the market.</p>
<p>"DAI" holds the fourth position with a volume of 33,551.691005 USD. Although lower compared to the top three tokens, DAI's volume still signifies a notable level of interest in converting DAI to USDT, showcasing its role as a stablecoin and a preferred option for traders.</p>
<p>"USN," "HAPI," "PEM," "$META," and "TAO" have lower volumes in USD compared to the top tokens. These volumes, ranging from 6573.550495 USD to 235.592947 USD, suggest varying levels of trading activity for these tokens when swapped to USDT. While they may not have as high volumes as the top tokens, their presence in the chart demonstrates their relevance and usage among traders.</p>
<p>In conclusion, this chart provides insights into the trading volumes of different tokens when converted to USDT. The high volume of tokens like wNEAR, USDt, and USDC.e highlights their significance and liquidity, while the lower volumes of other tokens indicate their relative popularity in the market.</p>
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<p>The provided chart presents the top 10 tokens based on the number of swaps made to USDT (Tether). The data is organized in descending order by the number of swaps and provides insights into the popularity of these tokens among traders for conversion to USDT.</p>
<p>According to the chart, the token "wNEAR" had the highest number of swaps, with 9,131 transactions involving its conversion to USDT. This indicates a significant trading activity and a high demand for swapping wNEAR to USDT.</p>
<p>The token "USDC.e" follows behind with 1,383 swaps, suggesting that it is also a popular choice for traders looking to exchange it for USDT. However, the number of swaps for USDC.e is considerably lower compared to wNEAR, indicating a relatively lower level of trading activity.</p>
<p>The token "USDt" ranks third with 494 swaps. As USDT itself is a stablecoin, the presence of a substantial number of swaps suggests its widespread usage and the preference of traders to convert other tokens to the stable value provided by USDT.</p>
<p>"DAI" comes fourth on the list with 426 swaps, indicating a notable level of interest in converting DAI to USDT. This reflects the use of DAI, which is also a stablecoin, as a means to access the liquidity and stability provided by USDT.</p>
<p>"USN" occupies the fifth position with 338 swaps, suggesting a moderate level of trading activity for this token's conversion to USDT. Similarly, "$META" and "PEM" follow with 203 and 186 swaps, respectively, indicating a noteworthy level of interest among traders.</p>
<p>The tokens "AURORA," "HAPI," and "REF" complete the top 10 list with 165, 127, and 115 swaps, respectively. These numbers highlight the relative popularity of these tokens for conversion to USDT.</p>
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10 token swap to USDT by number of trader"}}, {"responsive": true} ).then(function(){
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<div class="cell cell-markdown">
<p>The provided chart displays the top 10 tokens based on the number of traders who have swapped them to USDT (Tether)</p>
<p>According to the chart, the token "wNEAR" had the highest number of traders, with 320 individuals swapping it to USDT. This indicates a significant interest in converting wNEAR to USDT among the traders.</p>
<p>The token "USDC.e" follows closely behind, with 264 traders choosing to exchange it for USDT. This suggests a strong demand for converting USDC.e to USDT in the trading community.</p>
<p>The token "USDt" ranks third, with 165 traders opting to swap it to USDT. While it is expected for USDT itself to be popular for conversion, the relatively lower number of traders compared to wNEAR and USDC.e may indicate that some traders prefer alternative stablecoin options.</p>
<p>The token "USN" has 75 traders swapping it to USDT, suggesting a moderate level of interest in converting USN to USDT. Similarly, "AURORA" and "PEM" have 71 and 66 traders, respectively, choosing to convert them to USDT, indicating a notable level of trading activity.</p>
<p>"REF" and "DAI" both had 60 traders each, showcasing similar levels of interest in swapping these tokens to USDT. Additionally, "$META" concludes the top 10 list with 53 traders opting to exchange it for USDT.</p>
<p>Overall, this chart provides insights into the popularity of different tokens among traders when converting them to USDT. The high number of traders for tokens like wNEAR and USDC.e suggests strong trading activity and liquidity for these assets.</p>
</div>
<div class="cell cell-markdown">
<h1 id="Swap-from-USDT---Last-30-days">Swap from USDT - Last 30 days<a class="anchor-link" href="#Swap-from-USDT---Last-30-days">¶</a></h1>
</div><div class="cell code-cell code-cell-no-input">
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<div class="cell cell-markdown">
<p>The provided data presents the top tokens swapped from USDT on the NEAR blockchain platform.</p>
<p>Looking at the chart, it can be observed that in the week of May 29, 2023, the token "REF" had the highest number of traders, with a total of 9 individuals participating in the swap. This was followed by "USDC.e," which had 87 traders involved in the swap.</p>
<p>In the previous week, on May 22, "STNEAR" had the highest number of traders, with 4 individuals participating. "PEM" and "HAPI" also had a significant number of traders, with 21 and 3 participants, respectively.</p>
<p>Moving to the week of June 5, "marmaj" was the most popular token, with 11 traders involved in the swap. "nUSDO" and "TAO" had the lowest number of traders, each with only 1 participant. Additionally, "AVRIT" and "OIN" had 2 and 1 traders, respectively.</p>
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<p>According to the chart, there were several notable token swaps during this period. In the week of "2023-05-08," there were 6 swaps without any specified token mentioned. However, the token "USDC.e" experienced significant swapping activity, totaling 43 swaps.</p>
<p>Moving on to the following week, "WBTC" was swapped once, while "WETH" and "DAI" were each swapped twice. Additionally, "USDC.e" witnessed a substantial increase in swapping volume, reaching 440 swaps.</p>
<p>During the week of "2023-05-22," "DAI" remained popular with 90 swaps, followed by "USDC.e" with 496 swaps. Other tokens that were swapped multiple times included "HAPI" (8 swaps), "REF" (24 swaps), "STNEAR" (13 swaps), "AURORA" (43 swaps), and "wNEAR" (1348 swaps).</p>
<p>In the final week analyzed, "USDC.e" continued to dominate with 496 swaps, while "nUSDO" and "HAPI" were swapped once and 28 times, respectively. "STNEAR" and "SWEAT" experienced 7 and 4 swaps, respectively. Other tokens that were involved in swapping activities included "TAO" (1 swap), "marmaj" (16 swaps), "$META" (19 swaps), "PEM" (68 swaps), and "wNEAR" (1348 swaps).</p>
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<p>The provided data presents the volume of token swaps from USDT on the NEAR blockchain platform. The chart illustrates the weekly volume of various tokens swapped from USDT, including nUSDO, TAO, OIN, PARAS, DAI, HAPI, wNEAR, PEM, USDt, BRRR, WETH, USN, ELT, marmaj, SWEAT, REF, STNEAR, Cheddar, AVRIT, AURORA, MYRIA, $META, USDC.e, and PXT, along with their respective volume in USD.</p>
<p>Upon analyzing the chart, several notable observations can be made. Firstly, the token nUSDO had a minimal volume of 0.057659 USD in the week of June 5, 2023. Similarly, TAO witnessed a moderate volume of 9.981714 USD during the same week, while in the previous week, it had a higher volume of 26.795604 USD.</p>
<p>Furthermore, OIN experienced varying volumes throughout the observed period. It had a volume of 2.599913 USD in the week of May 22, followed by 0.16618 USD in the same week. In contrast, during the week of June 5, OIN's volume decreased to 0.5956 USD.</p>
<p>Another significant token, DAI, displayed a substantial volume of 6,288.420935 USD in the week of May 15. Similarly, HAPI witnessed a notable volume of 220.469714 USD during the same week.</p>
<p>Moreover, the token wNEAR had the highest volume among all the tokens, reaching 152,642.210116 USD in the week of May 29. Additionally, USDt, the tethered stablecoin, had a substantial volume of 138,176.356408 USD in the week of June 5.</p>
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<p>The chart displays the top 10 tokens that were exchanged from USDT (Tether) on the NEAR blockchain. The data presents the volume of these tokens in terms of USD (US dollars). Overall, the chart provides insights into the most frequently swapped tokens from USDT on NEAR.</p>
<p>According to the chart, the token with the highest trading volume is USDC.e, which amounted to 756,598.41 USD. Following closely is wNEAR, with a volume of 671,084.00 USD. USDt, another stablecoin pegged to the US dollar, secured the third position, with a total volume of 618,506.51 USD.</p>
<p>Further down the list, DAI, a decentralized stablecoin, was swapped for USDT with a volume of 18,811.33 USD. USN, a stablecoin supporting the NEAR ecosystem, had a comparatively smaller volume of 2,952.66 USD.</p>
<p>Moving on, HAPI, associated with the HAPI Protocol focusing on decentralized lending and borrowing, had a volume of 2,157.89 USD. The tokens PEM and $META followed, with volumes of 646.14 USD and 521.20 USD, respectively. Unfortunately, without additional information, it is challenging to determine the exact nature of these tokens and their respective projects.</p>
<p>Lastly, the tokens TAO and REF concluded the top 10 list with volumes of 191.72 USD and 135.20 USD, respectively. Once again, without further context, the specific details regarding these tokens remain unclear.</p>
<p>In summary, the chart illustrates the top 10 tokens that were exchanged from USDT on the NEAR blockchain. It is evident that stablecoins like USDC.e, wNEAR, and USDt were among the most frequently traded tokens. Additionally, tokens such as DAI, USN, HAPI, PEM, $META, TAO, and REF also garnered some trading activity, albeit with comparatively lower volumes.</p>
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<p>The provided chart presents insights into the top 10 tokens that were swapped from USDT on the NEAR blockchain based on the number of swaps. The chart showcases the tokens' names along with the corresponding number of swaps recorded.</p>
<p>The most frequently swapped token from USDT on NEAR, in terms of the number of swaps, is wNEAR, with a substantial count of 8,323 swaps. Following closely is USDC.e, which recorded 1,898 swaps, indicating a significant level of trading activity for this token pair.</p>
<p>DAI secured the third position with 421 swaps, signifying a considerable number of transactions involving this token. USDt, another popular stablecoin, was swapped 241 times from USDT.</p>
<p>The tokens USN, PEM, $META, AURORA, REF, and HAPI also received notable attention, with the respective number of swaps recorded as 215, 190, 159, 153, 95, and 81. However, without further context or information, it is challenging to provide specific details about these tokens and their associated projects.</p>
<p>In summary, the chart highlights the top 10 tokens that were frequently exchanged from USDT on the NEAR blockchain, as determined by the number of swaps. It is evident that tokens such as wNEAR, USDC.e, DAI, and USDt garnered significant trading interest, while several other tokens also received notable attention in terms of the number of swaps recorded.</p>
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<div class="cell cell-markdown">
<p>The provided chart presents insights into the top 10 tokens that were swapped from USDT on the NEAR blockchain based on the number of traders involved. The chart displays the tokens' names alongside the corresponding number of traders recorded.</p>
<p>According to the data, the token that attracted the highest number of traders in terms of swapping from USDT on NEAR is wNEAR, with 570 traders involved. This indicates a significant level of trader engagement with this token pair.</p>
<p>USDC.e follows closely with 224 traders recorded. It is worth noting that USDC.e, being a stablecoin, is often favored for trading and transactions due to its stability and peg to the US dollar.</p>
<p>USDt, another stablecoin, attracted the attention of 126 traders, showcasing its popularity as a trading pair with USDT on NEAR.</p>
<p>AURORA, PEM, DAI, REF, $META, USN, and marmaj were also among the top tokens, with 81, 70, 65, 51, 48, 41, and 22 traders respectively. However, without additional context or information, it is challenging to provide specific details about these tokens and their respective projects.</p>
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<div class="cell cell-markdown">
<h1 id="Conclusions">Conclusions<a class="anchor-link" href="#Conclusions">¶</a></h1>
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<p>Based on the provided data, there are several factors that could be causing the developments observed in the USDT swaps on the NEAR platform.</p>
<p>Changing trader participation: The decreasing number of traders as the time intervals became shorter could indicate a shift in trader behavior or changing market conditions. It suggests that some traders may have exited the market or shifted their trading activities to other platforms or tokens.</p>
<p>Active traders engaging in swaps: Despite the decreasing number of traders, the consistent number of swaps suggests that those who continue to participate are actively engaged in a significant number of swaps. This indicates a core group of traders who are actively trading USDT on the NEAR platform and are likely experienced in using the platform's features.</p>
<p>Market conditions: The decreasing volume of USD involved in the swaps as the time intervals became shorter may suggest changing market conditions. It could indicate a decrease in overall trading activity or a shift in the value of the tokens being swapped. Market factors such as price fluctuations, regulatory changes, or the introduction of new tokens could impact the trading behavior of participants.</p>
<p>Token popularity and liquidity: The chart highlights the popularity and liquidity of different tokens when converted to USDT. Tokens like wNEAR, USDt, and USDC.e consistently rank high in terms of trading volume, number of swaps, and number of traders. These tokens likely have strong market demand, widespread usage, and reliable liquidity, which attracts traders to engage in swaps involving these tokens.</p>
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