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aimodel

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Mr Minister 07
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#BinanceBots 👽AI futures bots 101 On Binance Futures, an AI bot works as a rule‑engine that continuously scans the market 24/7. It uses an LLM (like DeepSeek or Qwen) or classical ML models to generate a directional signal—long or short—based on real‑time candles, volume, and open‑interest changes. As soon as the signal aligns with the risk/reward guard (e.g., minimum 1:2 R:R), the bot places an order through the Binance API—no human delay, no hesitation.#AImodel #Ai_sector #Bananceacademy $BTC $JST {spot}(JSTUSDT) {spot}(BTCUSDT)
#BinanceBots 👽AI futures bots 101
On Binance Futures, an AI bot works as a rule‑engine that continuously scans the market 24/7. It uses an LLM (like DeepSeek or Qwen) or classical ML models to generate a directional signal—long or short—based on real‑time candles, volume, and open‑interest changes. As soon as the signal aligns with the risk/reward guard (e.g., minimum 1:2 R:R), the bot places an order through the Binance API—no human delay, no hesitation.#AImodel #Ai_sector #Bananceacademy $BTC $JST
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ကျရိပ်ရှိသည်
#BinanceBots 👽Risk management that AI enforces AI bots hard‑code mandatory risk controls that no human override can breach: per‑coin position limits (altcoins ≤ 1.5× equity, BTC/ETH ≤ 10× equity), fixed stop‑loss distances, and a cap on total margin usage (e.g., ≤90 %). This is one reason AI bots often outperform manual traders—they lack the emotion to “let a loser run.”#AImodel #Ai_sector $YFI $$YGG {spot}(YGGUSDT) {future}(YFIUSDT)
#BinanceBots 👽Risk management that AI enforces
AI bots hard‑code mandatory risk controls that no human override can breach: per‑coin position limits (altcoins ≤ 1.5× equity, BTC/ETH ≤ 10× equity), fixed stop‑loss distances, and a cap on total margin usage (e.g., ≤90 %). This is one reason AI bots often outperform manual traders—they lack the emotion to “let a loser run.”#AImodel #Ai_sector $YFI $$YGG
#BinanceBots 👽How AI bots collect market data Every AI bot first pulls live order‑book, candlestick, and funding‑rate data from Binance’s WebSocket or REST API. Advanced bots enrich that raw feed with on‑chain analysis (wallet tracking), social sentiment (Twitter/Reddit scores), and even news NLP—layering all of it into a feature‑engineering pipeline that feeds the predictive model.#BinanceBots #AImodel #Ai_sector $T $$TRX {spot}(TRXUSDT) {spot}(TUSDT)
#BinanceBots 👽How AI bots collect market data
Every AI bot first pulls live order‑book, candlestick, and funding‑rate data from Binance’s WebSocket or REST API. Advanced bots enrich that raw feed with on‑chain analysis (wallet tracking), social sentiment (Twitter/Reddit scores), and even news NLP—layering all of it into a feature‑engineering pipeline that feeds the predictive model.#BinanceBots #AImodel #Ai_sector $T $$TRX
Prediction Reality Check: 09:00 UTC Bearish Pivot Confirmed ✅ ​The market flow followed the script. My latest model forecast for $BTC called for a specific regime shift, and the results are in: ​April 26-27 (Bullish Lean): Market maintained strength as anticipated. 🟢 ​April 28 (09:00 UTC Bearish Pivot): CRITICAL HIT. The structural shift triggered right on time, leading to the expected correction. 🔴 ​Current Phase: We are now moving into the Recovery Push window (Apr 28-29). ​The Logic Behind the Move ​This wasn't a guess on price—it was an analysis of Market Flow and Regime Structure. By focusing on when the trend exhausted rather than just where the price was, the model captured the pivot 14+ hours in advance. ​The goal remains consistency and avoiding the noise of overfitted models. A public track record doesn't lie. 🚀 ​What’s next? I’m watching for the recovery structure to stabilize. Let's see if the bulls regain control for the April 29th target. ​#bitcoin #TradingSignal #CryptoAnalysis #AImodel l #BinanceSquareFamily
Prediction Reality Check: 09:00 UTC Bearish Pivot Confirmed ✅

​The market flow followed the script. My latest model forecast for $BTC called for a specific regime shift, and the results are in:

​April 26-27 (Bullish Lean): Market maintained strength as anticipated. 🟢

​April 28 (09:00 UTC Bearish Pivot): CRITICAL HIT. The structural shift triggered right on time, leading to the expected correction. 🔴

​Current Phase: We are now moving into the Recovery Push window (Apr 28-29).

​The Logic Behind the Move

​This wasn't a guess on price—it was an analysis of Market Flow and Regime Structure. By focusing on when the trend exhausted rather than just where the price was, the model captured the pivot 14+ hours in advance.

​The goal remains consistency and avoiding the noise of overfitted models. A public track record doesn't lie. 🚀

​What’s next?

I’m watching for the recovery structure to stabilize. Let's see if the bulls regain control for the April 29th target.

#bitcoin #TradingSignal #CryptoAnalysis #AImodel l #BinanceSquareFamily
#BinanceBots 👽Multi‑AI competition on Binance Instead of trusting a single AI, traders now run multi‑AI competitions inside one bot—e.g., DeepSeek vs. Qwen trading the same Binance Futures account with separate virtual sub‑ledgers. The dashboard shows a live ROI comparison, and the trader can set a rule that allocates more capital to the currently winning AI—creating an internal “survival of the fittest”.#AImodel #Ai_sector $LA {spot}(LAUSDT) $KO {alpha}(560x2d739dd563609c39a1ae1546a03e8b469361175f)
#BinanceBots 👽Multi‑AI competition on Binance
Instead of trusting a single AI, traders now run multi‑AI competitions inside one bot—e.g., DeepSeek vs. Qwen trading the same Binance Futures account with separate virtual sub‑ledgers. The dashboard shows a live ROI comparison, and the trader can set a rule that allocates more capital to the currently winning AI—creating an internal “survival of the fittest”.#AImodel #Ai_sector $LA
$KO
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ကျရိပ်ရှိသည်
#Binancebots 👽Backtesting before you go live Before a bot runs on real Binance money, it can replay historical order‑book data through its logic. A backtest of at least 1 000 candles reveals whether the strategy ever suffered a 10‑day drawdown or whether the AI overfit to a narrow market regime. Top‑tier bots also walk‑forward validate to confirm the model generalizes.#AImodel #Ai_sector $AI
#Binancebots 👽Backtesting before you go live
Before a bot runs on real Binance money, it can replay historical order‑book data through its logic. A backtest of at least 1 000 candles reveals whether the strategy ever suffered a 10‑day drawdown or whether the AI overfit to a narrow market regime. Top‑tier bots also walk‑forward validate to confirm the model generalizes.#AImodel #Ai_sector $AI
#BinanceBots 👽Security—how to stay safe with API keys Giving an AI bot access to your Binance account is a security risk that can be mitigated: (1) Use API keys with trading enabled but withdrawal disabled; (2) enable the withdrawal whitelist; (3) use Binance Testnet first. Moreover, the best open‑source bots run locally on your machine—keys never leave your control.#AImodel #Ai_sector $S {spot}(SUSDT) $SC
#BinanceBots 👽Security—how to stay safe with API keys
Giving an AI bot access to your Binance account is a security risk that can be mitigated: (1) Use API keys with trading enabled but withdrawal disabled; (2) enable the withdrawal whitelist; (3) use Binance Testnet first. Moreover, the best open‑source bots run locally on your machine—keys never leave your control.#AImodel #Ai_sector $S
$SC
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ကျရိပ်ရှိသည်
#BinanceBots 👽 Area Key Takeaway 🎭 Futures LLM‑powered bots trade long/short with hard risk guards (1:2 RR, position caps) Spot Multi‑timeframe signals aggregated by GPT‑4 / Qwen trigger automated entries Learning Bots use feedback loops to improve, avoiding losing patterns . Safety API keys should never grant withdrawals; use Testnet first . Trend Binance’s native AI Skills are bringing agentic trading directly into the exchange .#AImodel #Ai_sector $AI {future}(AIUSDT) $SC {spot}(SCUSDT)
#BinanceBots 👽
Area Key Takeaway 🎭
Futures LLM‑powered bots trade long/short with hard risk guards (1:2 RR, position caps)
Spot Multi‑timeframe signals aggregated by GPT‑4 / Qwen trigger automated entries
Learning Bots use feedback loops to improve, avoiding losing patterns .
Safety API keys should never grant withdrawals; use Testnet first .
Trend Binance’s native AI Skills are bringing agentic trading directly into the exchange .#AImodel #Ai_sector $AI
$SC
#BinanceBots 👽The future—Binance’s own AI ecosystem Binance is no longer just a venue for third‑party bots. It is launching native AI agent Skills that let any large‑language model directly access spot, futures, and margin trading actions, as well as Alpha market data. A recent Binance Research forecast predicts AI‑managed volume could exceed 15 % of crypto derivatives by 2027. The “agentic trading” wave is already breaking.#AImodel #Ai_sector $ETH {spot}(ETHUSDT) $DOT {spot}(DOTUSDT)
#BinanceBots 👽The future—Binance’s own AI ecosystem
Binance is no longer just a venue for third‑party bots. It is launching native AI agent Skills that let any large‑language model directly access spot, futures, and margin trading actions, as well as Alpha market data. A recent Binance Research forecast predicts AI‑managed volume could exceed 15 % of crypto derivatives by 2027. The “agentic trading” wave is already breaking.#AImodel #Ai_sector $ETH
$DOT
#BinanceBots 👽Spot trading AI bots explained For Binance Spot, an AI bot often runs a multi‑timeframe analysis of technical indicators—MACD, RSI, Bollinger Bands—across 15 m, 1 h, and 4 h candles. A language model (GPT‑4, Claude, Qwen) then summarizes the data into a short “buy / sell / wait” rating. The bot can simultaneously monitor dozens of pairs, automatically executing entries and exits when pre‑set risk parameters are met.#BinanceSquareTalks #Binanceairdop #AImodel $UB $$US {future}(USUSDT) {future}(UBUSDT)
#BinanceBots 👽Spot trading AI bots explained
For Binance Spot, an AI bot often runs a multi‑timeframe analysis of technical indicators—MACD, RSI, Bollinger Bands—across 15 m, 1 h, and 4 h candles. A language model (GPT‑4, Claude, Qwen) then summarizes the data into a short “buy / sell / wait” rating. The bot can simultaneously monitor dozens of pairs, automatically executing entries and exits when pre‑set risk parameters are met.#BinanceSquareTalks #Binanceairdop #AImodel $UB $$US
AI-First Model & 40% Workforce Reduction Block announced a major workforce reduction of more than 40%, trimming staff from over 10,000 to under 6,000 employees. CEO Jack Dorsey framed the move as a shift to an "AI-first" operating model. The company also raised its full-year 2026 outlook, targeting gross profit of $12.2 billion with 18% year-over-year growth. International Business Times #AI #AImodel
AI-First Model & 40% Workforce Reduction
Block announced a major workforce reduction of more than 40%, trimming staff from over 10,000 to under 6,000 employees. CEO Jack Dorsey framed the move as a shift to an "AI-first" operating model. The company also raised its full-year 2026 outlook, targeting gross profit of $12.2 billion with 18% year-over-year growth. International Business Times
#AI #AImodel
Восстание против машин: США охватила волна протестов и насилия из-за AIПокушение на главу OpenAI Сэма Альтмана (Sam Altman) с коктейлем Молотова, 13 пуль в дом члена городского совета Индианаполиса, проголосовавшего за строительство дата-центра, — волна недовольства искусственным интеллектом(AI) в США всё чаще выплёскивается в насилие. Два нападения на дом Альтмана в Сан-Франциско стали первыми громкими актами антитехнологического терроризма в Америке со времён поимки Унабомбера. Исполнитель первого из них — житель Техаса, выступавший в сети под псевдонимом «Батлерианский джихадист» в отсылке к антимашинному крестовому походу из «Дюны» Фрэнка Херберта. После поджога он направился к штаб-квартире OpenAI, где угрожал сжечь здание и убить всех внутри — при нём оказались канистра с керосином и список имён и адресов других руководителей AI-компаний. «Нет дата-центрам» В те же дни за тысячи километров неизвестный выпустил 13 пуль в дверь дома члена совета Индианаполиса Рона Гибсона (Ron Gibson), незадолго до этого поддержавшего строительство дата-центра в своём округе. Под коврик у входа была подложена записка «Нет дата-центрам». В доме в тот момент находился восьмилетний сын политика. Это не случайные инциденты — они часть нарастающей волны. Исследователь энергетики Роберт Брайс (Robert Bryce), ведущий базу данных отказов по дата-центрам, зафиксировал: с 2021 года по начало апреля 2026-го не менее 70 сообществ ввели ограничения или отказали в строительстве дата-центров. По данным организации Data Center Watch, сегодня в 24 штатах США действуют не менее 142 активистских групп, выступающих против строительства таких объектов, а за последние два года местные жители заблокировали или задержали проекты на десятки миллиардов долларов. Штат за штатом Протесты давно вышли за рамки уличных акций и переросли в политику. В 2026 году не менее 12 штатов внесли законопроекты о моратории на новые дата-центры. В Висконсине жители города Порт-Вашингтон проголосовали за то, чтобы любые налоговые льготы для крупных проектов — включая дата-центры — требовали одобрения на референдуме. В Миссури избиратели и вовсе прогнали с должностей всех членов совета, проголосовавших за строительство дата-центра стоимостью $6 млрд. В штате Мэн губернатор Джанет Миллс (Janet Mills) наложила вето на 18-месячный мораторий на дата-центры мощностью свыше 20 МВт — но в тот же день подписала закон, лишающий такие объекты налоговых льгот, и объявила о создании специального совета для анализа их влияния на экономику и окружающую среду. Сопротивление носит подчёркнуто двухпартийный характер: по имеющимся данным, около 55% избранных политиков, выступающих против дата-центров, — республиканцы. Претензии у всех схожие: рост тарифов на электроэнергию, огромное потребление воды, шум, сомнения в реальной пользе для местных бюджетов. Почему сейчас Корни происходящего — в пропасти между обещаниями и реальностью. Руководители AI-компаний годами предупреждали, что их технология способна уничтожить миллионы рабочих мест, сосредоточить ещё больше богатства на вершине и потреблять огромные объёмы ресурсов. Общество, судя по всему, этим словам поверило — и реагирует соответственно. Согласно опросу NBC News, лишь 26% американских избирателей относятся к AI позитивно, тогда как 46% — негативно. Данные Gallup фиксируют, что среди представителей поколения Z доля тех, кто испытывает по отношению к AI гнев, за один год выросла с 22% до 31% — прежде всего из-за страха потерять работу на стартовом этапе карьеры. Показательна и реакция самого Олтмана: после поджога он опубликовал в блоге личное обращение с фотографией мужа и сына, призвав «снизить накал риторики». Критики, однако, указывают: именно апокалиптические нарративы, которые сами же руководители AI-компаний транслировали годами — о замене работников, о рисках для человечества, — во многом и сформировали ту атмосферу, в которой подобные инциденты стали возможны. Движение анти-AI охватывает всё более широкую коалицию: в марте 2026 года декларацию в защиту «человекоориентированного AI» подписали консерваторы, демократические социалисты, профсоюзные активисты и религиозные лидеры. В феврале сотни человек прошли мимо лондонских офисов OpenAI, Google DeepMind и Meta в одной из крупнейших акций против в Европе. Насилие пока остаётся маргинальным явлением, осуждаемым даже теми, кто выступает против AI-инфраструктуры. Но масштаб законодательных инициатив, результаты выборов в Миссури и опросные данные указывают на то, что общественное давление на AI-индустрию продолжит усиливаться — вне зависимости от того, в каких формах оно будет выражаться. #AI #AImodel #Write2Earn #BinanceSquare $AI $BTC {spot}(AIUSDT) {spot}(BTCUSDT)

Восстание против машин: США охватила волна протестов и насилия из-за AI

Покушение на главу OpenAI Сэма Альтмана (Sam Altman) с коктейлем Молотова, 13 пуль в дом члена городского совета Индианаполиса, проголосовавшего за строительство дата-центра, — волна недовольства искусственным интеллектом(AI) в США всё чаще выплёскивается в насилие.
Два нападения на дом Альтмана в Сан-Франциско стали первыми громкими актами антитехнологического терроризма в Америке со времён поимки Унабомбера. Исполнитель первого из них — житель Техаса, выступавший в сети под псевдонимом «Батлерианский джихадист» в отсылке к антимашинному крестовому походу из «Дюны» Фрэнка Херберта. После поджога он направился к штаб-квартире OpenAI, где угрожал сжечь здание и убить всех внутри — при нём оказались канистра с керосином и список имён и адресов других руководителей AI-компаний.
«Нет дата-центрам»
В те же дни за тысячи километров неизвестный выпустил 13 пуль в дверь дома члена совета Индианаполиса Рона Гибсона (Ron Gibson), незадолго до этого поддержавшего строительство дата-центра в своём округе. Под коврик у входа была подложена записка «Нет дата-центрам». В доме в тот момент находился восьмилетний сын политика.
Это не случайные инциденты — они часть нарастающей волны. Исследователь энергетики Роберт Брайс (Robert Bryce), ведущий базу данных отказов по дата-центрам, зафиксировал: с 2021 года по начало апреля 2026-го не менее 70 сообществ ввели ограничения или отказали в строительстве дата-центров. По данным организации Data Center Watch, сегодня в 24 штатах США действуют не менее 142 активистских групп, выступающих против строительства таких объектов, а за последние два года местные жители заблокировали или задержали проекты на десятки миллиардов долларов.
Штат за штатом
Протесты давно вышли за рамки уличных акций и переросли в политику. В 2026 году не менее 12 штатов внесли законопроекты о моратории на новые дата-центры. В Висконсине жители города Порт-Вашингтон проголосовали за то, чтобы любые налоговые льготы для крупных проектов — включая дата-центры — требовали одобрения на референдуме. В Миссури избиратели и вовсе прогнали с должностей всех членов совета, проголосовавших за строительство дата-центра стоимостью $6 млрд. В штате Мэн губернатор Джанет Миллс (Janet Mills) наложила вето на 18-месячный мораторий на дата-центры мощностью свыше 20 МВт — но в тот же день подписала закон, лишающий такие объекты налоговых льгот, и объявила о создании специального совета для анализа их влияния на экономику и окружающую среду.
Сопротивление носит подчёркнуто двухпартийный характер: по имеющимся данным, около 55% избранных политиков, выступающих против дата-центров, — республиканцы. Претензии у всех схожие: рост тарифов на электроэнергию, огромное потребление воды, шум, сомнения в реальной пользе для местных бюджетов.
Почему сейчас
Корни происходящего — в пропасти между обещаниями и реальностью. Руководители AI-компаний годами предупреждали, что их технология способна уничтожить миллионы рабочих мест, сосредоточить ещё больше богатства на вершине и потреблять огромные объёмы ресурсов. Общество, судя по всему, этим словам поверило — и реагирует соответственно. Согласно опросу NBC News, лишь 26% американских избирателей относятся к AI позитивно, тогда как 46% — негативно. Данные Gallup фиксируют, что среди представителей поколения Z доля тех, кто испытывает по отношению к AI гнев, за один год выросла с 22% до 31% — прежде всего из-за страха потерять работу на стартовом этапе карьеры.
Показательна и реакция самого Олтмана: после поджога он опубликовал в блоге личное обращение с фотографией мужа и сына, призвав «снизить накал риторики». Критики, однако, указывают: именно апокалиптические нарративы, которые сами же руководители AI-компаний транслировали годами — о замене работников, о рисках для человечества, — во многом и сформировали ту атмосферу, в которой подобные инциденты стали возможны.
Движение анти-AI охватывает всё более широкую коалицию: в марте 2026 года декларацию в защиту «человекоориентированного AI» подписали консерваторы, демократические социалисты, профсоюзные активисты и религиозные лидеры. В феврале сотни человек прошли мимо лондонских офисов OpenAI, Google DeepMind и Meta в одной из крупнейших акций против в Европе.
Насилие пока остаётся маргинальным явлением, осуждаемым даже теми, кто выступает против AI-инфраструктуры. Но масштаб законодательных инициатив, результаты выборов в Миссури и опросные данные указывают на то, что общественное давление на AI-индустрию продолжит усиливаться — вне зависимости от того, в каких формах оно будет выражаться.
#AI #AImodel #Write2Earn #BinanceSquare
$AI $BTC
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တက်ရိပ်ရှိသည်
🚀 $0G is turning AI agents from hype into real, usable tools 🤖✨ The biggest shift? It’s all about ACCESS 🔓 No more barriers. No more headaches. The new 0G app removes the friction that slowed everything down ⚡ 👉 No complex setup 👉 No heavy infrastructure 👉 Just build, deploy, and run — instantly This is where acceleration begins 🚀 💡 The scale behind 0G is massive: • 🤝 300+ ecosystem partners already onboard • 🤖 10,000+ AI agents targeted by Q4 2026 • 💰 $100M annual revenue ambition • 🏦 $1B TVL confidence target This isn’t an experiment anymore… This is real infrastructure being built at scale 🔥 ⚙️ What makes 0G stand out? • ⚡ Deployment in under 1 minute • 🧩 Fully modular stack (Chain + Compute + Storage + DA) • 🔐 Trusted execution for reliable AI agents • 🕵️ Privacy-focused workflows for real-world use • 💸 Clear monetization paths for builders & creators Everything that used to be fragmented… is now connected 🔗 🌍 Big picture: AI agents could become one of the largest markets of this decade 📈 But growth was blocked by: ❌ Poor UX ❌ Weak execution ❌ No monetization 👉 0G removes all of these barriers ⚔️ Positioning vs the market: • 💧 $SUI → High performance + smooth UX • 🏔️ $AVAX → Modular ecosystems & subnets • 🤖 0G → Built specifically for AI agents It combines: ✔️ Execution trust ✔️ Privacy ✔️ Seamless deployment That’s the real unlock 🔓 🔥 This isn’t just another infrastructure project It’s the layer where AI agents become: ✅ Practical ✅ Scalable ✅ Profitable Now the only question is… How fast will builders move? ⏳🚀 #AI #OG #AImodel
🚀 $0G is turning AI agents from hype into real, usable tools 🤖✨
The biggest shift? It’s all about ACCESS 🔓
No more barriers. No more headaches.
The new 0G app removes the friction that slowed everything down ⚡
👉 No complex setup
👉 No heavy infrastructure
👉 Just build, deploy, and run — instantly
This is where acceleration begins 🚀
💡 The scale behind 0G is massive:
• 🤝 300+ ecosystem partners already onboard
• 🤖 10,000+ AI agents targeted by Q4 2026
• 💰 $100M annual revenue ambition
• 🏦 $1B TVL confidence target
This isn’t an experiment anymore…
This is real infrastructure being built at scale 🔥
⚙️ What makes 0G stand out?
• ⚡ Deployment in under 1 minute
• 🧩 Fully modular stack (Chain + Compute + Storage + DA)
• 🔐 Trusted execution for reliable AI agents
• 🕵️ Privacy-focused workflows for real-world use
• 💸 Clear monetization paths for builders & creators
Everything that used to be fragmented… is now connected 🔗
🌍 Big picture:
AI agents could become one of the largest markets of this decade 📈
But growth was blocked by:
❌ Poor UX
❌ Weak execution
❌ No monetization
👉 0G removes all of these barriers
⚔️ Positioning vs the market:
• 💧 $SUI → High performance + smooth UX
• 🏔️ $AVAX → Modular ecosystems & subnets
• 🤖 0G → Built specifically for AI agents
It combines:
✔️ Execution trust
✔️ Privacy
✔️ Seamless deployment
That’s the real unlock 🔓
🔥 This isn’t just another infrastructure project
It’s the layer where AI agents become:
✅ Practical
✅ Scalable
✅ Profitable
Now the only question is…
How fast will builders move? ⏳🚀
#AI #OG #AImodel
Egypt economic outlook trimmed slightly due to Iran war: Reuters pollCAIRO, April 26 (Reuters) - Analysts have shaved their forecasts for Egyptian economic growth in a Reuters poll for this year and next as the Iran war drives up energy prices and puts ​pressure on inflation. Gross domestic product growth will be 4.6% in the year to June, 4.6% next year ‌and 5.5% in 2027/28, according to the median estimate of 12 economists surveyed April 8-23. In a January poll, before the war broke out, economists had predicted growth of 4.9%, thinking reforms taken under an International Monetary Fund (IMF) programme two years earlier were bearing fruit faster than We ​expect energy prices to remain high in the coming quarters, even after the normalisation of flows through ​the Strait of Hormuz. It will fuel inflationary pressure in Egypt," said Pascal Devaux of BNP ⁠Paribas In this context, we expect a slowdown in activity in Egypt, but not a sharp drop." Growth slumped to 2.4% ​in 2023/24 but rebounded after March 2024 when Egypt sharply devalued its currency and raised interest rates as part of ​an $8 billion IMF financial support package. The central bank, citing the Iran war, this month revised down its year-on-year GDP growth forecast for fiscal 2025/26 to 4.9% from the 5.1% it had predicted in February. Last week the IMF likewise chopped its projected growth to 4.2% in calendar 2026 from ​an earlier estimate of 4.7%. In addition to raising energy prices, the war could also hurt tourism in Egypt, slow the ​flow of remittances from Egyptians working in the Gulf and reduce tolls from ships passing through the Suez Canal The poll forecast inflation ‌would average ⁠13.5% in 2025/26, 12.00% in 2026/27 and 9.0% in 2027/28. Economists had put inflation at 11.6%, 9.1% and 8.2% in the last poll. Egypt's annual urban consumer inflation increased to a faster-than-expected ​15.2% in March from 13.4% ​in February, according to the ⁠state statistics agency CAPMAS. The Iran conflict is seen pushing the central bank to slow an easing cycle of its overnight interest rates begun a year ago. Analysts forecast the lending rate ​to still be 20.00% by end-June, then slip to 17.0% by end-June next year ​and 13.25% end-June ⁠2028. Analysts in the January survey had expected a 200 basis point cut by January and another 500-point cut by June 2027. The central bank cut its benchmark rate five times in 2025 and yet once again in February for a cumulative drop ⁠of 825 ​basis points. Contributors expected the Egyptian pound to inch weaker to 51.58 to ​the U.S. dollar by end-June 2026 from its current 51.06 pounds. It is expected to be 51.50 by end-June 2027 and 51.85 at the end ​of June 2028. #ZeusInCrypto #AImodel #quickfarm #ETHETFS #CryptoPatience

Egypt economic outlook trimmed slightly due to Iran war: Reuters poll

CAIRO, April 26 (Reuters) - Analysts have shaved their forecasts for Egyptian economic growth in a Reuters poll for this year and next as the Iran war drives up energy prices and puts ​pressure on inflation.
Gross domestic product growth will be 4.6% in the year to June, 4.6% next year ‌and 5.5% in 2027/28, according to the median estimate of 12 economists surveyed April 8-23.
In a January poll, before the war broke out, economists had predicted growth of 4.9%, thinking reforms taken under an International Monetary Fund (IMF) programme two years earlier were bearing fruit faster than
We ​expect energy prices to remain high in the coming quarters, even after the normalisation of flows through ​the Strait of Hormuz. It will fuel inflationary pressure in Egypt," said Pascal Devaux of BNP ⁠Paribas
In this context, we expect a slowdown in activity in Egypt, but not a sharp drop."
Growth slumped to 2.4% ​in 2023/24 but rebounded after March 2024 when Egypt sharply devalued its currency and raised interest rates as part of ​an $8 billion IMF financial support package.
The central bank, citing the Iran war, this month revised down its year-on-year GDP growth forecast for fiscal 2025/26 to 4.9% from the 5.1% it had predicted in February.
Last week the IMF likewise chopped its projected growth to 4.2% in calendar 2026 from ​an earlier estimate of 4.7%.
In addition to raising energy prices, the war could also hurt tourism in Egypt, slow the ​flow of remittances from Egyptians working in the Gulf and reduce tolls from ships passing through the Suez Canal
The poll forecast inflation ‌would average ⁠13.5% in 2025/26, 12.00% in 2026/27 and 9.0% in 2027/28. Economists had put inflation at 11.6%, 9.1% and 8.2% in the last poll.
Egypt's annual urban consumer inflation increased to a faster-than-expected ​15.2% in March from 13.4% ​in February, according to the ⁠state statistics agency CAPMAS.
The Iran conflict is seen pushing the central bank to slow an easing cycle of its overnight interest rates begun a year ago.
Analysts forecast the lending rate ​to still be 20.00% by end-June, then slip to 17.0% by end-June next year ​and 13.25% end-June ⁠2028. Analysts in the January survey had expected a 200 basis point cut by January and another 500-point cut by June 2027.
The central bank cut its benchmark rate five times in 2025 and yet once again in February for a cumulative drop ⁠of 825 ​basis points.
Contributors expected the Egyptian pound to inch weaker to 51.58 to ​the U.S. dollar by end-June 2026 from its current 51.06 pounds. It is expected to be 51.50 by end-June 2027 and 51.85 at the end ​of June 2028.
#ZeusInCrypto
#AImodel
#quickfarm
#ETHETFS
#CryptoPatience
The Next 72 Hours: AI Directional Forecast 📈📉 ​Testing the current regime. Here is the predicted path for $BTC : 1️⃣ Apr 26-27: Bullish Lean 🟢 2️⃣ Apr 28 (09:00 UTC): Bearish Pivot 🔴 3️⃣ Apr 28-29: Recovery Push 🟢 ​The model is focused on the market flow. Will we see the 9:00 AM UTC pivot trigger as expected? Eyes on the charts! ​#bitcoin #TradingSignal #CryptoAnalysis #AImodel #binince
The Next 72 Hours: AI Directional Forecast 📈📉

​Testing the current regime. Here is the predicted path for $BTC :

1️⃣ Apr 26-27: Bullish Lean 🟢

2️⃣ Apr 28 (09:00 UTC): Bearish Pivot 🔴

3️⃣ Apr 28-29: Recovery Push 🟢

​The model is focused on the market flow. Will we see the 9:00 AM UTC pivot trigger as expected? Eyes on the charts!

#bitcoin #TradingSignal #CryptoAnalysis #AImodel #binince
Here is a clear, informative article based on the information you provided#TetherFreezes$344MUSDTatUSLawEnforcementRequest #AImodel #TrendingTopic #JustinSunSuesWorldLibertyFinancial #BTC $BTC --- AI’s Dual Impact on U.S. Jobs: Slower Payroll Growth and a Shift Toward Experienced Workers New York – A new analysis from Goldman Sachs economist Elsie Peng reveals a nuanced picture of artificial intelligence’s effect on the American labor market: while AI is weighing on overall job growth, it is also quietly creating new roles in unexpected sectors. According to Peng’s findings, AI has reduced monthly payroll growth by approximately 16,000 jobs over the past year. Data from NS3.AI further indicates that this technological shift has contributed to a 0.1 percentage point rise in the U.S. unemployment rate. However, the story is not one of simple decline. Peng notes that AI has generated around 9,000 new jobs per month in fields with high “augmentation potential”—where the technology assists rather than replaces workers. These sectors include education, legal judgment and compliance, and construction management. The negative employment effects have not been evenly distributed. Peng highlights that younger, less experienced workers in entry-level white-collar positions have borne the brunt of AI’s disruptive impact. Routine tasks once performed by junior analysts, paralegals, and administrative staff are increasingly automated, while older, more seasoned professionals remain better positioned to oversee or collaborate with AI tools. The findings suggest a labor market in transition, where AI acts as both a headwind and a tailwind. While monthly job creation remains positive overall, the structural shift may require renewed focus on retraining programs and career pathways for early-career employees navigating an increasingly automated workplace.

Here is a clear, informative article based on the information you provided

#TetherFreezes$344MUSDTatUSLawEnforcementRequest #AImodel #TrendingTopic #JustinSunSuesWorldLibertyFinancial #BTC $BTC
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AI’s Dual Impact on U.S. Jobs: Slower Payroll Growth and a Shift Toward Experienced Workers
New York – A new analysis from Goldman Sachs economist Elsie Peng reveals a nuanced picture of artificial intelligence’s effect on the American labor market: while AI is weighing on overall job growth, it is also quietly creating new roles in unexpected sectors.
According to Peng’s findings, AI has reduced monthly payroll growth by approximately 16,000 jobs over the past year. Data from NS3.AI further indicates that this technological shift has contributed to a 0.1 percentage point rise in the U.S. unemployment rate.
However, the story is not one of simple decline. Peng notes that AI has generated around 9,000 new jobs per month in fields with high “augmentation potential”—where the technology assists rather than replaces workers. These sectors include education, legal judgment and compliance, and construction management.
The negative employment effects have not been evenly distributed. Peng highlights that younger, less experienced workers in entry-level white-collar positions have borne the brunt of AI’s disruptive impact. Routine tasks once performed by junior analysts, paralegals, and administrative staff are increasingly automated, while older, more seasoned professionals remain better positioned to oversee or collaborate with AI tools.
The findings suggest a labor market in transition, where AI acts as both a headwind and a tailwind. While monthly job creation remains positive overall, the structural shift may require renewed focus on retraining programs and career pathways for early-career employees navigating an increasingly automated workplace.
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ကျရိပ်ရှိသည်
#BinanceBots 👽: The "Lobster" First Look — What is AI Pro? 📱 Publish on Tue, Apr 28, 2026 at 09:00 UTC 🖼️ Image: [Comparison Chart between "Basic AI Chat" and "AI Pro"] Caption: The jump from pure chat to actual execution is huge. Text: Many ask how this $9.99 Binance AI Pro beta differs from the free Binance AI. The key is infrastructure: 1) Dedicated Sub-account: AI operates in a locked sandbox (no withdrawal rights), so my main funds stay safe. 2) Multi-model brains: It runs on ChatGPT, Claude, Qwen, etc., to be smarter than single-model tools. 3) Beyond chat: Basic AI analyzes; AI Pro executes. It's the difference between reading a recipe and having a robot cook it. 👨‍🍳#BinanceBots #AImodel #AiBots $XRP {spot}(XRPUSDT) $ETC {spot}(ETCUSDT)
#BinanceBots 👽: The "Lobster" First Look — What is AI Pro?

📱 Publish on Tue, Apr 28, 2026 at 09:00 UTC
🖼️ Image: [Comparison Chart between "Basic AI Chat" and "AI Pro"]
Caption: The jump from pure chat to actual execution is huge.

Text:
Many ask how this $9.99 Binance AI Pro beta differs from the free Binance AI. The key is infrastructure: 1) Dedicated Sub-account: AI operates in a locked sandbox (no withdrawal rights), so my main funds stay safe. 2) Multi-model brains: It runs on ChatGPT, Claude, Qwen, etc., to be smarter than single-model tools. 3) Beyond chat: Basic AI analyzes; AI Pro executes. It's the difference between reading a recipe and having a robot cook it. 👨‍🍳#BinanceBots #AImodel #AiBots $XRP
$ETC
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ကျရိပ်ရှိသည်
#BinanceBots 👽 Pro Skills — How to Customize AI Agents 📱 Publish on Tue, May 05, 2026 at 09:00 UTC 🖼️ Image: [Screenshot of Binance Skill Hub interface showing skill icons] Caption: Unlock the "Web3 Data Analysis" skill — track smart money inflows. Text: Once you master Ai Pro basics, check out Binance Skills Hub (free) . You can equip your AI agent with special abilities like: 1) Query Address Info: Analyze any wallet's holdings (track whales). 2) Token Security Audit: Check if a new coin is a scam. 3) Smart Money Tracking: See real-time capital inflows. No coding needed, just tell your AI: "Install Binance Skills for me and check top inflows today." This makes you a data detective.#AiBots #BinanceSquareTalks #AImodel $TRX {spot}(TRXUSDT) $TON {spot}(TONUSDT)
#BinanceBots 👽
Pro Skills — How to Customize AI Agents

📱 Publish on Tue, May 05, 2026 at 09:00 UTC
🖼️ Image: [Screenshot of Binance Skill Hub interface showing skill icons]
Caption: Unlock the "Web3 Data Analysis" skill — track smart money inflows.

Text:
Once you master Ai Pro basics, check out Binance Skills Hub (free) . You can equip your AI agent with special abilities like: 1) Query Address Info: Analyze any wallet's holdings (track whales). 2) Token Security Audit: Check if a new coin is a scam. 3) Smart Money Tracking: See real-time capital inflows. No coding needed, just tell your AI: "Install Binance Skills for me and check top inflows today." This makes you a data detective.#AiBots #BinanceSquareTalks #AImodel $TRX
$TON
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