Author: Asher, Odaily Planet Daily Despite the recent market recovery, the crypto world remains shrouded in a persistent gloom since the "1011 crash." Particularly noteworthy is the apparent unanimous triggering of a series of crashes on newly listed altcoins, with various price swings: halving in a single day, drops exceeding 80%, initial surges followed by a continuous decline, and concentrated sell-offs of airdrops. It's worth noting that these anomalies are largely concentrated on new projects launched on Binance Alpha. In just a few weeks, a series of bizarre price drops have occurred. On-chain fund flows, market maker operations, and the team's responses and silences piece together fragmented truths about this turmoil. Below, Odaily Planet Daily will summarize some of the most discussed and representative cases of these "creative price drops" recently. Sahara AI: A short-term plunge of over 50% stemmed from massive liquidation of perpetual contracts + concentrated amplification of short selling. On the evening of November 29, Sahara AI's token SAHARA fell by more than 50% in a short period of time, and the price has not recovered significantly since then, currently trading at $0.03869. SAHARA K-line chart The following day, the Sahara AI team quickly released a statement in an attempt to reassure the market, with three main points: There is no team or investor selling off: everyone is still under lock-up, and there is still a full year until the first unlock (June 2026). The smart contract is fine: it has not been hacked, tampered with, or had any inexplicable token transfers. The business is undergoing adjustments but nothing has gone wrong: internally, some resource integration is being done, with a focus on accelerating growth in areas where it can grow. These all sound harmless, but the focus of the community discussion is completely elsewhere. KOL Crypto Fearless posted on the X platform that the abnormal price drop of SAHARA was caused by "a series of liquidations of a certain active market maker": a large market maker who manages multiple projects was targeted by an exchange because of a certain project, which led to all related positions being subject to risk control, and SAHARA was just one of the "collateral damage". However, Sahara AI quickly denied this claim, emphasizing that their only market makers are Amber Group and Herring Global, both of which are operating normally and have not been investigated or liquidated. The team's version is that the crash was mainly due to large-scale liquidation of perpetual contracts combined with a concentrated amplification of short selling. In other words, "It's not our problem; it's a structural stampede within the market itself." Meanwhile, the team is still in direct communication with the relevant exchanges and will further disclose more verified information once obtained. aPriori: 60% of the airdrop was snapped up; the token price has fallen by nearly 80% since its launch. aPriori is a highly funded project within the Monad ecosystem. Its token, APR, was "early" traded on the BNB Chain via TGE before the Monad mainnet launch. On October 23rd, APR was listed on Binance Alpha and Binance Futures, initially surging above $0.70, but subsequently declining to its current price of $0.13. This initial weakness had already raised concerns within the community, but the real catalyst came a few weeks later. APR K-line chart The most shocking news came on November 11: 60% of the project's airdrop was claimed by the same entity using 14,000 addresses. On-chain data disclosed by Bubblemaps on November 11 showed that 60% of the aPriori project's airdrop tokens were claimed by the same entity through 14,000 interconnected wallets. These wallets each deposited 0.001 BNB through Binance within a short period and then transferred the APR tokens to the same batch of new wallets. APR "insider trading" address bubble chart However, what angered the community even more than the data itself was the project team's complete lack of response. On November 14, Bubblemaps stated that they had already contacted the aPriori team seeking an explanation for the situation where "60% of the airdrops were claimed by the same entity through 14,000 addresses," but had yet to receive a response. In addition, blockchain detective ZachXBT also posted on the X platform that he had sent a private message to the co-founder of the aPriori project to explain the "insider trading" issue, but had not received a reply as of November 18. Meanwhile, the official X account stopped updating, Discord administrators almost disappeared, and community sentiment gradually shifted from disappointment to anger. "Has the project team already absconded?" "Has the team moved on to the next project?" "A highly funded project doing this?" On November 21, the team finally spoke out, but the content did not truly address the core questions. It only stated that "no evidence has been found that the team or foundation received the airdrop," and attempted to shift attention to the Monad mainnet airdrop, claiming that a "large amount of unlocked APR airdrop" would be given to the Monad community. This statement did not quell the doubts, but was instead interpreted by many community members as "avoiding the important issues." Worse still, on the day Monad launched its mainnet, aPriori's token airdrop went almost unnoticed, and subsequent official channels fell silent again. From a high-profile, well-funded project to a rapid loss of community trust, this process took less than a month. Irys: An entity claimed 20% of the tokens in the airdrop through a cluster of 900 wallets and has already sold $4 million worth. Irys is an L1 public chain that focuses on "data intelligence" and has raised nearly $20 million in funding. However, its airdrops and on-chain activities before the mainnet launch have raised questions in the market about "insider trading" and dumping of shares to cash out. The day before launch: 900 addresses were flooded with deposits. On November 28th, Bubblemaps, an on-chain data analytics platform, disclosed that the day before the IRYS mainnet launch, a total of 900 addresses received ETH transferred from the Bitget exchange within several time windows. These addresses shared highly consistent characteristics: No prior on-chain history (brand new wallet); The amounts of ETH received were similar; Everyone received an IRYS airdrop on the day of launch. These addresses ultimately claimed approximately 20% of the IRYS airdrop quota. Further analysis: Typical witch clusters Bubblemaps divided these 900 addresses into 20 batches of top-ups, with approximately 50 addresses in each batch. The survey showed that: Time: From November 21st to 24th, Bitget launched a total of 20 rounds of top-ups; The pattern is highly consistent: each batch of small ETH transfers follows almost identical address generation, activation, and operation paths; Characteristics: Addresses are active simultaneously within a short period of time, and their behavioral paths are similar. This behavioral pattern is consistent with typical "Sybil" characteristics, indicating that it is a planned and organized operation. Transaction path: From airdrop to exchange Further investigation of 500 addresses revealed that they followed an identical process: Claim your IRYS airdrop; Transfer all tokens to a brand new address ("address washing" step); The new address then transferred IRYS to the Bitget exchange; It is highly likely that the shares will be sold directly on the exchange. To date, approximately $4 million worth of IRYS tokens have flowed into the Bitget exchange through this route. IRYS "Fake Stock" Address Bubble Chart Irys' official response: The airdrop of the witch horde does not involve the team or investors. Regarding the recent on-chain analysis showing the IRYS Sybil airdrop cluster incident, the project team conducted an internal investigation and verified the situation with partners and exchanges through multiple channels. The official response indicates: Unrelated to the team or investors: Investigations show that the Witch Cluster wallets used to receive the airdrops are not affiliated with the team wallets, foundation wallets, or investor wallets. The IRYS tokens held by the team, foundation, and founders have not been sold and remain subject to lock-up and unlocking rules. Reflections on the airdrop design and anti-Sybil measures: The project employed various anti-Sybil mechanisms before launch, successfully filtering out some obvious arbitrage opportunities, but still failing to completely prevent Sybil clusters. The team stated that these vulnerabilities were inherent to the airdrop design itself, rather than due to errors in execution by partners, and promised future improvements. Future plans: The team will regularly update project progress, including network growth, ecosystem development, and major company news. At the product and ecosystem level, we will continue to optimize protocols, expand integration scenarios, promote data applications, and support long-term users and developers. The official statement emphasizes that this incident will not affect the operation of the IRYS mainnet, nor will it change the project's long-term development goals. The team will earn the community's trust through continuous development and transparent communication, rather than just verbal explanations. Tradoor: The top ten holding addresses account for 98% of the total supply, causing a short-term plunge of nearly 80%. On December 1, the token TRADOOR of Binance Alpha project Tradoor surged to a record high of $6.64, but then plummeted by nearly 80% in the following 24 hours, falling to $1.47; it is currently priced at $1.39. TRADOOR K-line chart On-chain data shows that Tradoor has extremely low decentralization: only 10 addresses control 98% of the total supply, with one address holding as many as 75% of the tokens. The remaining circulating supply is negligible, with the total DEX liquidity pool amounting to less than $1 million, meaning even a small large order can cause the price to crash. Furthermore, the delayed airdrop and issues with the staking mechanism exacerbated the crisis of user trust: the originally promised airdrop was delayed from "soon" to February 2026, and coupled with loopholes in the staking mechanism, retail investors had virtually nowhere to hide when the market crashed. It is worth noting that the TRADOOR crash occurred during the hours of 4 to 5 a.m. in China, when most retail investors were asleep, and by the time they woke up, their losses were already irreversible. Knowing when to stop is the key. As crypto trader Ansem previously stated in an article on the X platform, the main value accumulation phase of the crypto industry is "basically over," and the vast majority of tokens ("95% junk") will struggle to gain sustained value in the future. The real value-capturing assets in the future will be stablecoins and the blockchain infrastructure built on the proprietary chains of traditional fintech companies like Stripe, Coinbase, and Robinhood, rather than most token projects currently on the market. Therefore, even with the current significant recovery in the crypto market, highly sought-after altcoins may experience a brief rebound, potentially allowing investors to "make a quick profit." However, this does not mean complacency or blindly pursuing exorbitant profits of several times or even ten times the initial investment—altcoins experiencing dramatic price drops will continue to appear. In the current environment, "taking profits when they are available" remains the safest strategy.Author: Asher, Odaily Planet Daily Despite the recent market recovery, the crypto world remains shrouded in a persistent gloom since the "1011 crash." Particularly noteworthy is the apparent unanimous triggering of a series of crashes on newly listed altcoins, with various price swings: halving in a single day, drops exceeding 80%, initial surges followed by a continuous decline, and concentrated sell-offs of airdrops. It's worth noting that these anomalies are largely concentrated on new projects launched on Binance Alpha. In just a few weeks, a series of bizarre price drops have occurred. On-chain fund flows, market maker operations, and the team's responses and silences piece together fragmented truths about this turmoil. Below, Odaily Planet Daily will summarize some of the most discussed and representative cases of these "creative price drops" recently. Sahara AI: A short-term plunge of over 50% stemmed from massive liquidation of perpetual contracts + concentrated amplification of short selling. On the evening of November 29, Sahara AI's token SAHARA fell by more than 50% in a short period of time, and the price has not recovered significantly since then, currently trading at $0.03869. SAHARA K-line chart The following day, the Sahara AI team quickly released a statement in an attempt to reassure the market, with three main points: There is no team or investor selling off: everyone is still under lock-up, and there is still a full year until the first unlock (June 2026). The smart contract is fine: it has not been hacked, tampered with, or had any inexplicable token transfers. The business is undergoing adjustments but nothing has gone wrong: internally, some resource integration is being done, with a focus on accelerating growth in areas where it can grow. These all sound harmless, but the focus of the community discussion is completely elsewhere. KOL Crypto Fearless posted on the X platform that the abnormal price drop of SAHARA was caused by "a series of liquidations of a certain active market maker": a large market maker who manages multiple projects was targeted by an exchange because of a certain project, which led to all related positions being subject to risk control, and SAHARA was just one of the "collateral damage". However, Sahara AI quickly denied this claim, emphasizing that their only market makers are Amber Group and Herring Global, both of which are operating normally and have not been investigated or liquidated. The team's version is that the crash was mainly due to large-scale liquidation of perpetual contracts combined with a concentrated amplification of short selling. In other words, "It's not our problem; it's a structural stampede within the market itself." Meanwhile, the team is still in direct communication with the relevant exchanges and will further disclose more verified information once obtained. aPriori: 60% of the airdrop was snapped up; the token price has fallen by nearly 80% since its launch. aPriori is a highly funded project within the Monad ecosystem. Its token, APR, was "early" traded on the BNB Chain via TGE before the Monad mainnet launch. On October 23rd, APR was listed on Binance Alpha and Binance Futures, initially surging above $0.70, but subsequently declining to its current price of $0.13. This initial weakness had already raised concerns within the community, but the real catalyst came a few weeks later. APR K-line chart The most shocking news came on November 11: 60% of the project's airdrop was claimed by the same entity using 14,000 addresses. On-chain data disclosed by Bubblemaps on November 11 showed that 60% of the aPriori project's airdrop tokens were claimed by the same entity through 14,000 interconnected wallets. These wallets each deposited 0.001 BNB through Binance within a short period and then transferred the APR tokens to the same batch of new wallets. APR "insider trading" address bubble chart However, what angered the community even more than the data itself was the project team's complete lack of response. On November 14, Bubblemaps stated that they had already contacted the aPriori team seeking an explanation for the situation where "60% of the airdrops were claimed by the same entity through 14,000 addresses," but had yet to receive a response. In addition, blockchain detective ZachXBT also posted on the X platform that he had sent a private message to the co-founder of the aPriori project to explain the "insider trading" issue, but had not received a reply as of November 18. Meanwhile, the official X account stopped updating, Discord administrators almost disappeared, and community sentiment gradually shifted from disappointment to anger. "Has the project team already absconded?" "Has the team moved on to the next project?" "A highly funded project doing this?" On November 21, the team finally spoke out, but the content did not truly address the core questions. It only stated that "no evidence has been found that the team or foundation received the airdrop," and attempted to shift attention to the Monad mainnet airdrop, claiming that a "large amount of unlocked APR airdrop" would be given to the Monad community. This statement did not quell the doubts, but was instead interpreted by many community members as "avoiding the important issues." Worse still, on the day Monad launched its mainnet, aPriori's token airdrop went almost unnoticed, and subsequent official channels fell silent again. From a high-profile, well-funded project to a rapid loss of community trust, this process took less than a month. Irys: An entity claimed 20% of the tokens in the airdrop through a cluster of 900 wallets and has already sold $4 million worth. Irys is an L1 public chain that focuses on "data intelligence" and has raised nearly $20 million in funding. However, its airdrops and on-chain activities before the mainnet launch have raised questions in the market about "insider trading" and dumping of shares to cash out. The day before launch: 900 addresses were flooded with deposits. On November 28th, Bubblemaps, an on-chain data analytics platform, disclosed that the day before the IRYS mainnet launch, a total of 900 addresses received ETH transferred from the Bitget exchange within several time windows. These addresses shared highly consistent characteristics: No prior on-chain history (brand new wallet); The amounts of ETH received were similar; Everyone received an IRYS airdrop on the day of launch. These addresses ultimately claimed approximately 20% of the IRYS airdrop quota. Further analysis: Typical witch clusters Bubblemaps divided these 900 addresses into 20 batches of top-ups, with approximately 50 addresses in each batch. The survey showed that: Time: From November 21st to 24th, Bitget launched a total of 20 rounds of top-ups; The pattern is highly consistent: each batch of small ETH transfers follows almost identical address generation, activation, and operation paths; Characteristics: Addresses are active simultaneously within a short period of time, and their behavioral paths are similar. This behavioral pattern is consistent with typical "Sybil" characteristics, indicating that it is a planned and organized operation. Transaction path: From airdrop to exchange Further investigation of 500 addresses revealed that they followed an identical process: Claim your IRYS airdrop; Transfer all tokens to a brand new address ("address washing" step); The new address then transferred IRYS to the Bitget exchange; It is highly likely that the shares will be sold directly on the exchange. To date, approximately $4 million worth of IRYS tokens have flowed into the Bitget exchange through this route. IRYS "Fake Stock" Address Bubble Chart Irys' official response: The airdrop of the witch horde does not involve the team or investors. Regarding the recent on-chain analysis showing the IRYS Sybil airdrop cluster incident, the project team conducted an internal investigation and verified the situation with partners and exchanges through multiple channels. The official response indicates: Unrelated to the team or investors: Investigations show that the Witch Cluster wallets used to receive the airdrops are not affiliated with the team wallets, foundation wallets, or investor wallets. The IRYS tokens held by the team, foundation, and founders have not been sold and remain subject to lock-up and unlocking rules. Reflections on the airdrop design and anti-Sybil measures: The project employed various anti-Sybil mechanisms before launch, successfully filtering out some obvious arbitrage opportunities, but still failing to completely prevent Sybil clusters. The team stated that these vulnerabilities were inherent to the airdrop design itself, rather than due to errors in execution by partners, and promised future improvements. Future plans: The team will regularly update project progress, including network growth, ecosystem development, and major company news. At the product and ecosystem level, we will continue to optimize protocols, expand integration scenarios, promote data applications, and support long-term users and developers. The official statement emphasizes that this incident will not affect the operation of the IRYS mainnet, nor will it change the project's long-term development goals. The team will earn the community's trust through continuous development and transparent communication, rather than just verbal explanations. Tradoor: The top ten holding addresses account for 98% of the total supply, causing a short-term plunge of nearly 80%. On December 1, the token TRADOOR of Binance Alpha project Tradoor surged to a record high of $6.64, but then plummeted by nearly 80% in the following 24 hours, falling to $1.47; it is currently priced at $1.39. TRADOOR K-line chart On-chain data shows that Tradoor has extremely low decentralization: only 10 addresses control 98% of the total supply, with one address holding as many as 75% of the tokens. The remaining circulating supply is negligible, with the total DEX liquidity pool amounting to less than $1 million, meaning even a small large order can cause the price to crash. Furthermore, the delayed airdrop and issues with the staking mechanism exacerbated the crisis of user trust: the originally promised airdrop was delayed from "soon" to February 2026, and coupled with loopholes in the staking mechanism, retail investors had virtually nowhere to hide when the market crashed. It is worth noting that the TRADOOR crash occurred during the hours of 4 to 5 a.m. in China, when most retail investors were asleep, and by the time they woke up, their losses were already irreversible. Knowing when to stop is the key. As crypto trader Ansem previously stated in an article on the X platform, the main value accumulation phase of the crypto industry is "basically over," and the vast majority of tokens ("95% junk") will struggle to gain sustained value in the future. The real value-capturing assets in the future will be stablecoins and the blockchain infrastructure built on the proprietary chains of traditional fintech companies like Stripe, Coinbase, and Robinhood, rather than most token projects currently on the market. Therefore, even with the current significant recovery in the crypto market, highly sought-after altcoins may experience a brief rebound, potentially allowing investors to "make a quick profit." However, this does not mean complacency or blindly pursuing exorbitant profits of several times or even ten times the initial investment—altcoins experiencing dramatic price drops will continue to appear. In the current environment, "taking profits when they are available" remains the safest strategy.

From Sahara to Tradoor, a look back at the recent "dive" of altcoins.

2025/12/04 20:00

Author: Asher, Odaily Planet Daily

Despite the recent market recovery, the crypto world remains shrouded in a persistent gloom since the "1011 crash." Particularly noteworthy is the apparent unanimous triggering of a series of crashes on newly listed altcoins, with various price swings: halving in a single day, drops exceeding 80%, initial surges followed by a continuous decline, and concentrated sell-offs of airdrops. It's worth noting that these anomalies are largely concentrated on new projects launched on Binance Alpha.

In just a few weeks, a series of bizarre price drops have occurred. On-chain fund flows, market maker operations, and the team's responses and silences piece together fragmented truths about this turmoil. Below, Odaily Planet Daily will summarize some of the most discussed and representative cases of these "creative price drops" recently.

Sahara AI: A short-term plunge of over 50% stemmed from massive liquidation of perpetual contracts + concentrated amplification of short selling.

On the evening of November 29, Sahara AI's token SAHARA fell by more than 50% in a short period of time, and the price has not recovered significantly since then, currently trading at $0.03869.

SAHARA K-line chart

The following day, the Sahara AI team quickly released a statement in an attempt to reassure the market, with three main points:

  • There is no team or investor selling off: everyone is still under lock-up, and there is still a full year until the first unlock (June 2026).
  • The smart contract is fine: it has not been hacked, tampered with, or had any inexplicable token transfers.
  • The business is undergoing adjustments but nothing has gone wrong: internally, some resource integration is being done, with a focus on accelerating growth in areas where it can grow.

These all sound harmless, but the focus of the community discussion is completely elsewhere. KOL Crypto Fearless posted on the X platform that the abnormal price drop of SAHARA was caused by "a series of liquidations of a certain active market maker": a large market maker who manages multiple projects was targeted by an exchange because of a certain project, which led to all related positions being subject to risk control, and SAHARA was just one of the "collateral damage".

However, Sahara AI quickly denied this claim, emphasizing that their only market makers are Amber Group and Herring Global, both of which are operating normally and have not been investigated or liquidated. The team's version is that the crash was mainly due to large-scale liquidation of perpetual contracts combined with a concentrated amplification of short selling. In other words, "It's not our problem; it's a structural stampede within the market itself." Meanwhile, the team is still in direct communication with the relevant exchanges and will further disclose more verified information once obtained.

aPriori: 60% of the airdrop was snapped up; the token price has fallen by nearly 80% since its launch.

aPriori is a highly funded project within the Monad ecosystem. Its token, APR, was "early" traded on the BNB Chain via TGE before the Monad mainnet launch. On October 23rd, APR was listed on Binance Alpha and Binance Futures, initially surging above $0.70, but subsequently declining to its current price of $0.13. This initial weakness had already raised concerns within the community, but the real catalyst came a few weeks later.

APR K-line chart

The most shocking news came on November 11: 60% of the project's airdrop was claimed by the same entity using 14,000 addresses. On-chain data disclosed by Bubblemaps on November 11 showed that 60% of the aPriori project's airdrop tokens were claimed by the same entity through 14,000 interconnected wallets. These wallets each deposited 0.001 BNB through Binance within a short period and then transferred the APR tokens to the same batch of new wallets.

APR "insider trading" address bubble chart

However, what angered the community even more than the data itself was the project team's complete lack of response. On November 14, Bubblemaps stated that they had already contacted the aPriori team seeking an explanation for the situation where "60% of the airdrops were claimed by the same entity through 14,000 addresses," but had yet to receive a response.

In addition, blockchain detective ZachXBT also posted on the X platform that he had sent a private message to the co-founder of the aPriori project to explain the "insider trading" issue, but had not received a reply as of November 18.

Meanwhile, the official X account stopped updating, Discord administrators almost disappeared, and community sentiment gradually shifted from disappointment to anger.

  • "Has the project team already absconded?"
  • "Has the team moved on to the next project?"
  • "A highly funded project doing this?"

On November 21, the team finally spoke out, but the content did not truly address the core questions. It only stated that "no evidence has been found that the team or foundation received the airdrop," and attempted to shift attention to the Monad mainnet airdrop, claiming that a "large amount of unlocked APR airdrop" would be given to the Monad community. This statement did not quell the doubts, but was instead interpreted by many community members as "avoiding the important issues."

Worse still, on the day Monad launched its mainnet, aPriori's token airdrop went almost unnoticed, and subsequent official channels fell silent again. From a high-profile, well-funded project to a rapid loss of community trust, this process took less than a month.

Irys: An entity claimed 20% of the tokens in the airdrop through a cluster of 900 wallets and has already sold $4 million worth.

Irys is an L1 public chain that focuses on "data intelligence" and has raised nearly $20 million in funding. However, its airdrops and on-chain activities before the mainnet launch have raised questions in the market about "insider trading" and dumping of shares to cash out.

The day before launch: 900 addresses were flooded with deposits.

On November 28th, Bubblemaps, an on-chain data analytics platform, disclosed that the day before the IRYS mainnet launch, a total of 900 addresses received ETH transferred from the Bitget exchange within several time windows. These addresses shared highly consistent characteristics:

  • No prior on-chain history (brand new wallet);
  • The amounts of ETH received were similar;
  • Everyone received an IRYS airdrop on the day of launch.

These addresses ultimately claimed approximately 20% of the IRYS airdrop quota.

Further analysis: Typical witch clusters

Bubblemaps divided these 900 addresses into 20 batches of top-ups, with approximately 50 addresses in each batch. The survey showed that:

  • Time: From November 21st to 24th, Bitget launched a total of 20 rounds of top-ups;
  • The pattern is highly consistent: each batch of small ETH transfers follows almost identical address generation, activation, and operation paths;
  • Characteristics: Addresses are active simultaneously within a short period of time, and their behavioral paths are similar.

This behavioral pattern is consistent with typical "Sybil" characteristics, indicating that it is a planned and organized operation.

Transaction path: From airdrop to exchange

Further investigation of 500 addresses revealed that they followed an identical process:

  1. Claim your IRYS airdrop;
  2. Transfer all tokens to a brand new address ("address washing" step);
  3. The new address then transferred IRYS to the Bitget exchange;
  4. It is highly likely that the shares will be sold directly on the exchange.

To date, approximately $4 million worth of IRYS tokens have flowed into the Bitget exchange through this route.

IRYS "Fake Stock" Address Bubble Chart

Irys' official response: The airdrop of the witch horde does not involve the team or investors.

Regarding the recent on-chain analysis showing the IRYS Sybil airdrop cluster incident, the project team conducted an internal investigation and verified the situation with partners and exchanges through multiple channels. The official response indicates:

  • Unrelated to the team or investors: Investigations show that the Witch Cluster wallets used to receive the airdrops are not affiliated with the team wallets, foundation wallets, or investor wallets. The IRYS tokens held by the team, foundation, and founders have not been sold and remain subject to lock-up and unlocking rules.
  • Reflections on the airdrop design and anti-Sybil measures: The project employed various anti-Sybil mechanisms before launch, successfully filtering out some obvious arbitrage opportunities, but still failing to completely prevent Sybil clusters. The team stated that these vulnerabilities were inherent to the airdrop design itself, rather than due to errors in execution by partners, and promised future improvements.
  • Future plans: The team will regularly update project progress, including network growth, ecosystem development, and major company news. At the product and ecosystem level, we will continue to optimize protocols, expand integration scenarios, promote data applications, and support long-term users and developers.

The official statement emphasizes that this incident will not affect the operation of the IRYS mainnet, nor will it change the project's long-term development goals. The team will earn the community's trust through continuous development and transparent communication, rather than just verbal explanations.

Tradoor: The top ten holding addresses account for 98% of the total supply, causing a short-term plunge of nearly 80%.

On December 1, the token TRADOOR of Binance Alpha project Tradoor surged to a record high of $6.64, but then plummeted by nearly 80% in the following 24 hours, falling to $1.47; it is currently priced at $1.39.

TRADOOR K-line chart

On-chain data shows that Tradoor has extremely low decentralization: only 10 addresses control 98% of the total supply, with one address holding as many as 75% of the tokens. The remaining circulating supply is negligible, with the total DEX liquidity pool amounting to less than $1 million, meaning even a small large order can cause the price to crash.

Furthermore, the delayed airdrop and issues with the staking mechanism exacerbated the crisis of user trust: the originally promised airdrop was delayed from "soon" to February 2026, and coupled with loopholes in the staking mechanism, retail investors had virtually nowhere to hide when the market crashed. It is worth noting that the TRADOOR crash occurred during the hours of 4 to 5 a.m. in China, when most retail investors were asleep, and by the time they woke up, their losses were already irreversible.

Knowing when to stop is the key.

As crypto trader Ansem previously stated in an article on the X platform, the main value accumulation phase of the crypto industry is "basically over," and the vast majority of tokens ("95% junk") will struggle to gain sustained value in the future. The real value-capturing assets in the future will be stablecoins and the blockchain infrastructure built on the proprietary chains of traditional fintech companies like Stripe, Coinbase, and Robinhood, rather than most token projects currently on the market.

Therefore, even with the current significant recovery in the crypto market, highly sought-after altcoins may experience a brief rebound, potentially allowing investors to "make a quick profit." However, this does not mean complacency or blindly pursuing exorbitant profits of several times or even ten times the initial investment—altcoins experiencing dramatic price drops will continue to appear. In the current environment, "taking profits when they are available" remains the safest strategy.

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Summarize Any Stock’s Earnings Call in Seconds Using FMP API

Summarize Any Stock’s Earnings Call in Seconds Using FMP API

Turn lengthy earnings call transcripts into one-page insights using the Financial Modeling Prep APIPhoto by Bich Tran Earnings calls are packed with insights. They tell you how a company performed, what management expects in the future, and what analysts are worried about. The challenge is that these transcripts often stretch across dozens of pages, making it tough to separate the key takeaways from the noise. With the right tools, you don’t need to spend hours reading every line. By combining the Financial Modeling Prep (FMP) API with Groq’s lightning-fast LLMs, you can transform any earnings call into a concise summary in seconds. The FMP API provides reliable access to complete transcripts, while Groq handles the heavy lifting of distilling them into clear, actionable highlights. In this article, we’ll build a Python workflow that brings these two together. You’ll see how to fetch transcripts for any stock, prepare the text, and instantly generate a one-page summary. Whether you’re tracking Apple, NVIDIA, or your favorite growth stock, the process works the same — fast, accurate, and ready whenever you are. Fetching Earnings Transcripts with FMP API The first step is to pull the raw transcript data. FMP makes this simple with dedicated endpoints for earnings calls. If you want the latest transcripts across the market, you can use the stable endpoint /stable/earning-call-transcript-latest. For a specific stock, the v3 endpoint lets you request transcripts by symbol, quarter, and year using the pattern: https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={q}&year={y}&apikey=YOUR_API_KEY here’s how you can fetch NVIDIA’s transcript for a given quarter: import requestsAPI_KEY = "your_api_key"symbol = "NVDA"quarter = 2year = 2024url = f"https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={quarter}&year={year}&apikey={API_KEY}"response = requests.get(url)data = response.json()# Inspect the keysprint(data.keys())# Access transcript contentif "content" in data[0]: transcript_text = data[0]["content"] print(transcript_text[:500]) # preview first 500 characters The response typically includes details like the company symbol, quarter, year, and the full transcript text. If you aren’t sure which quarter to query, the “latest transcripts” endpoint is the quickest way to always stay up to date. Cleaning and Preparing Transcript Data Raw transcripts from the API often include long paragraphs, speaker tags, and formatting artifacts. Before sending them to an LLM, it helps to organize the text into a cleaner structure. Most transcripts follow a pattern: prepared remarks from executives first, followed by a Q&A session with analysts. Separating these sections gives better control when prompting the model. In Python, you can parse the transcript and strip out unnecessary characters. A simple way is to split by markers such as “Operator” or “Question-and-Answer.” Once separated, you can create two blocks — Prepared Remarks and Q&A — that will later be summarized independently. This ensures the model handles each section within context and avoids missing important details. Here’s a small example of how you might start preparing the data: import re# Example: using the transcript_text we fetched earliertext = transcript_text# Remove extra spaces and line breaksclean_text = re.sub(r'\s+', ' ', text).strip()# Split sections (this is a heuristic; real-world transcripts vary slightly)if "Question-and-Answer" in clean_text: prepared, qna = clean_text.split("Question-and-Answer", 1)else: prepared, qna = clean_text, ""print("Prepared Remarks Preview:\n", prepared[:500])print("\nQ&A Preview:\n", qna[:500]) With the transcript cleaned and divided, you’re ready to feed it into Groq’s LLM. Chunking may be necessary if the text is very long. A good approach is to break it into segments of a few thousand tokens, summarize each part, and then merge the summaries in a final pass. Summarizing with Groq LLM Now that the transcript is clean and split into Prepared Remarks and Q&A, we’ll use Groq to generate a crisp one-pager. The idea is simple: summarize each section separately (for focus and accuracy), then synthesize a final brief. Prompt design (concise and factual) Use a short, repeatable template that pushes for neutral, investor-ready language: You are an equity research analyst. Summarize the following earnings call sectionfor {symbol} ({quarter} {year}). Be factual and concise.Return:1) TL;DR (3–5 bullets)2) Results vs. guidance (what improved/worsened)3) Forward outlook (specific statements)4) Risks / watch-outs5) Q&A takeaways (if present)Text:<<<{section_text}>>> Python: calling Groq and getting a clean summary Groq provides an OpenAI-compatible API. Set your GROQ_API_KEY and pick a fast, high-quality model (e.g., a Llama-3.1 70B variant). We’ll write a helper to summarize any text block, then run it for both sections and merge. import osimport textwrapimport requestsGROQ_API_KEY = os.environ.get("GROQ_API_KEY") or "your_groq_api_key"GROQ_BASE_URL = "https://api.groq.com/openai/v1" # OpenAI-compatibleMODEL = "llama-3.1-70b" # choose your preferred Groq modeldef call_groq(prompt, temperature=0.2, max_tokens=1200): url = f"{GROQ_BASE_URL}/chat/completions" headers = { "Authorization": f"Bearer {GROQ_API_KEY}", "Content-Type": "application/json", } payload = { "model": MODEL, "messages": [ {"role": "system", "content": "You are a precise, neutral equity research analyst."}, {"role": "user", "content": prompt}, ], "temperature": temperature, "max_tokens": max_tokens, } r = requests.post(url, headers=headers, json=payload, timeout=60) r.raise_for_status() return r.json()["choices"][0]["message"]["content"].strip()def build_prompt(section_text, symbol, quarter, year): template = """ You are an equity research analyst. Summarize the following earnings call section for {symbol} ({quarter} {year}). Be factual and concise. Return: 1) TL;DR (3–5 bullets) 2) Results vs. guidance (what improved/worsened) 3) Forward outlook (specific statements) 4) Risks / watch-outs 5) Q&A takeaways (if present) Text: <<< {section_text} >>> """ return textwrap.dedent(template).format( symbol=symbol, quarter=quarter, year=year, section_text=section_text )def summarize_section(section_text, symbol="NVDA", quarter="Q2", year="2024"): if not section_text or section_text.strip() == "": return "(No content found for this section.)" prompt = build_prompt(section_text, symbol, quarter, year) return call_groq(prompt)# Example usage with the cleaned splits from Section 3prepared_summary = summarize_section(prepared, symbol="NVDA", quarter="Q2", year="2024")qna_summary = summarize_section(qna, symbol="NVDA", quarter="Q2", year="2024")final_one_pager = f"""# {symbol} Earnings One-Pager — {quarter} {year}## Prepared Remarks — Key Points{prepared_summary}## Q&A Highlights{qna_summary}""".strip()print(final_one_pager[:1200]) # preview Tips that keep quality high: Keep temperature low (≈0.2) for factual tone. If a section is extremely long, chunk at ~5–8k tokens, summarize each chunk with the same prompt, then ask the model to merge chunk summaries into one section summary before producing the final one-pager. If you also fetched headline numbers (EPS/revenue, guidance) earlier, prepend them to the prompt as brief context to help the model anchor on the right outcomes. Building the End-to-End Pipeline At this point, we have all the building blocks: the FMP API to fetch transcripts, a cleaning step to structure the data, and Groq LLM to generate concise summaries. The final step is to connect everything into a single workflow that can take any ticker and return a one-page earnings call summary. The flow looks like this: Input a stock ticker (for example, NVDA). Use FMP to fetch the latest transcript. Clean and split the text into Prepared Remarks and Q&A. Send each section to Groq for summarization. Merge the outputs into a neatly formatted earnings one-pager. Here’s how it comes together in Python: def summarize_earnings_call(symbol, quarter, year, api_key, groq_key): # Step 1: Fetch transcript from FMP url = f"https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={quarter}&year={year}&apikey={api_key}" resp = requests.get(url) resp.raise_for_status() data = resp.json() if not data or "content" not in data[0]: return f"No transcript found for {symbol} {quarter} {year}" text = data[0]["content"] # Step 2: Clean and split clean_text = re.sub(r'\s+', ' ', text).strip() if "Question-and-Answer" in clean_text: prepared, qna = clean_text.split("Question-and-Answer", 1) else: prepared, qna = clean_text, "" # Step 3: Summarize with Groq prepared_summary = summarize_section(prepared, symbol, quarter, year) qna_summary = summarize_section(qna, symbol, quarter, year) # Step 4: Merge into final one-pager return f"""# {symbol} Earnings One-Pager — {quarter} {year}## Prepared Remarks{prepared_summary}## Q&A Highlights{qna_summary}""".strip()# Example runprint(summarize_earnings_call("NVDA", 2, 2024, API_KEY, GROQ_API_KEY)) With this setup, generating a summary becomes as simple as calling one function with a ticker and date. You can run it inside a notebook, integrate it into a research workflow, or even schedule it to trigger after each new earnings release. Free Stock Market API and Financial Statements API... Conclusion Earnings calls no longer need to feel overwhelming. With the Financial Modeling Prep API, you can instantly access any company’s transcript, and with Groq LLM, you can turn that raw text into a sharp, actionable summary in seconds. This pipeline saves hours of reading and ensures you never miss the key results, guidance, or risks hidden in lengthy remarks. Whether you track tech giants like NVIDIA or smaller growth stocks, the process is the same — fast, reliable, and powered by the flexibility of FMP’s data. Summarize Any Stock’s Earnings Call in Seconds Using FMP API was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
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