gar kha
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gar kha
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Why the crypto market fell
The cryptocurrency market fell 1.72% to $2.22 trillion in 24 hours, primarily due to a tightening stance by the US Federal Reserve (Fed). There is a strong negative correlation (-54%) with the Nasdaq-100 (QQQ), indicating a sell-off sensitive to interest rates and influenced by macroeconomic factors. 1. Primary reason: The Fed's tighter and unexpected position under its new chairman, Kevin Warsh, spooked risk assets. 2. Secondary reasons: Institutional selling pressure, including ETF outflows and sovereign debt sales, amplified the decline. 3. Short-term outlook: If BTC remains above $64,000, the market could stabilize; a drop below could trigger a test of the yearly low at $2.1 trillion, especially if Fed officials confirm their tightening stance.
The cryptocurrency market fell 1.72% to $2.22 trillion in 24 hours, primarily due to a tightening stance by the US Federal Reserve (Fed). There is a strong negative correlation (-54%) with the Nasdaq-100 (QQQ), indicating a sell-off sensitive to interest rates and influenced by macroeconomic factors. 1. Primary reason: The Fed's tighter and unexpected position under its new chairman, Kevin Warsh, spooked risk assets. 2. Secondary reasons: Institutional selling pressure, including ETF outflows and sovereign debt sales, amplified the decline. 3. Short-term outlook: If BTC remains above $64,000, the market could stabilize; a drop below could trigger a test of the yearly low at $2.1 trillion, especially if Fed officials confirm their tightening stance.
#opg $OPG
That framing makes sense, particularly regarding reducing lock-in and increasing verifiability. The true test for @OpenGradient will be whether “open and verifiable intelligence” translates into something developers consistently rely on for transparency, performance cost and ease of integration compared to existing closed APIs. If it does accountability ceases to be a nice-to-have and becomes a default part of the AI stack rather than an optional layer. $OPG
That framing makes sense, particularly regarding reducing lock-in and increasing verifiability. The true test for @OpenGradient will be whether “open and verifiable intelligence” translates into something developers consistently rely on for transparency, performance cost and ease of integration compared to existing closed APIs. If it does accountability ceases to be a nice-to-have and becomes a default part of the AI stack rather than an optional layer. $OPG
#opg $OPG
That framing makes sense, particularly regarding reducing lock-in and increasing verifiability. The true test for @OpenGradient will be whether “open and verifiable intelligence” translates into something developers consistently rely on for transparency, performance cost and ease of integration compared to existing closed APIs. If it does accountability ceases to be a nice-to-have and becomes a default part of the AI stack rather than an optional layer. $OPG
That framing makes sense, particularly regarding reducing lock-in and increasing verifiability. The true test for @OpenGradient will be whether “open and verifiable intelligence” translates into something developers consistently rely on for transparency, performance cost and ease of integration compared to existing closed APIs. If it does accountability ceases to be a nice-to-have and becomes a default part of the AI stack rather than an optional layer. $OPG
Bedrack
Maria sadaqat
·
--
#bedrock $BR 🚀 Bedrock is redefining how Bitcoin works in DeFi. With $BR, users can unlock new earning opportunities while keeping their assets productive. As BTCFi continues to grow, Bedrock is building the tools that make participation easier, smarter, and more rewarding. The future of Bitcoin utility is just getting started. 🌍⚡ #BR #Bedrock #BTCFi
Question:
What feature of Bedrock excites you most about the future of BTCFi? 🤔👇
$BR
Question:
What feature of Bedrock excites you most about the future of BTCFi? 🤔👇
$BR
#opg $OPG
A model behind an API represents a permission, not an ownership, granted by a company and subject to revokal by a state. That's why we're developing privacy-focused generative AI capable of making inferences that no one can read, without borders that could revoke them. Just as the internet bypassed censorship, so will artificial intelligence.
A model behind an API represents a permission, not an ownership, granted by a company and subject to revokal by a state. That's why we're developing privacy-focused generative AI capable of making inferences that no one can read, without borders that could revoke them. Just as the internet bypassed censorship, so will artificial intelligence.
Thanks
Pub
ابو_بورد
·
--
$LAB اشتروها الان واحفظو رسالتي هذه سوف تصل الى 100 دولار قريبا
Hard wallets
ORBO
·
--
Ανατιμητικήif an exchange gets hacked tomorrow
would you lose everything?
most people would
because they never moved their crypto off the platform
a hard wallet is a physical device that stores your private keys completely offline
Ledger, Trezor, under $80
no internet connection = nothing to hack
not your keys, not your coins
you can hold $BTC , $SHIB , and $PEPE for years.
#ORBO
would you lose everything?
most people would
because they never moved their crypto off the platform
a hard wallet is a physical device that stores your private keys completely offline
Ledger, Trezor, under $80
no internet connection = nothing to hack
not your keys, not your coins
you can hold $BTC , $SHIB , and $PEPE for years.
#ORBO
Apple
天泽哥ETH
·
--
等待⌛️Apple
1. 基本信息
• 成立：1976年4月1日（乔布斯、沃兹尼亚克、罗纳德·韦恩）
• 总部：美国加州库比蒂诺（Cupertino）
• 现任CEO：蒂姆·库克（Tim Cook）
• 口号：Think Different（不同凡想）
2. 核心产品
• iPhone（智能手机，核心收入）
• Mac（MacBook、iMac，个人电脑）
• iPad（平板电脑）
• Apple Watch（智能手表）
• AirPods（无线耳机）
• Vision Pro（AR/VR头显）

1. 基本信息
• 成立：1976年4月1日（乔布斯、沃兹尼亚克、罗纳德·韦恩）
• 总部：美国加州库比蒂诺（Cupertino）
• 现任CEO：蒂姆·库克（Tim Cook）
• 口号：Think Different（不同凡想）
2. 核心产品
• iPhone（智能手机，核心收入）
• Mac（MacBook、iMac，个人电脑）
• iPad（平板电脑）
• Apple Watch（智能手表）
• AirPods（无线耳机）
• Vision Pro（AR/VR头显）

IA TRADING
Al Amin123456
·
--
How to Use AI for Crypto Tradings
#BTCReclaims70k
#PCEMarketWatch
#OilPricesSlide
Unlike static algorithms that follow fixed rules, AI trading systems use machine learning to identify patterns and adapt to changing market conditions.
Using AI for crypto trading helps remove emotional bias, while allowing users to monitor markets 24/7 and execute trades with speed.
Traders can choose between subscription-based bot services or building custom tools, using AI to assist with research, coding, and strategy testing.
While powerful, AI trading comes with risks. Watch out for technical failures, security vulnerabilities, and "black box" scams.
Introduction
AI for crypto trading involves using computer programs to analyze market data, predict price movements, and execute trades with minimal human intervention. This article explores the fundamentals of AI in crypto trading, how it differs from standard automation, and the benefits and risks associated with these tools.
AI vs. Traditional Algorithmic Trading
People often mix up "algorithmic trading" and "AI Trading," but they are not the same thing.
Traditional algorithms are static, i.e., they follow a fixed list of instructions written by a human. For example: "If Bitcoin goes under $50,000, buy 0.10 BTC." The bot does exactly what it is told. It cannot “change its mind” or learn new tricks.
In contrast, systems that use AI and machine learning are dynamic. They are able to look at data to find patterns by themselves. Instead of following one rule, an AI model can look at history, volume, and news to come up with a potential price target. It can also learn from its past wins and losses to adapt and improve.
Common Applications of AI in Crypto
Below are some examples of common applications of AI in crypto trading. While some traders prefer to focus on a single application, others use a combination of methods to create more elaborate AI trading systems.
1. AI trading bots
These are like the traditional automated trading bots, but with AI enhancement. They can connect to your crypto exchange to buy and sell on your behalf. Some of the common strategies used by these bots are:
Arbitrage: Buying a coin on Exchange A and selling it on Exchange B to profit from the price differences.
Grid trading: Setting up automatic buy and sell orders at specific price levels.
Grid trading example.
Trend following: Checking if the market is going up or down consistently and trading in that same direction.
2. Sentiment analysis
Crypto market sentiment and prices sometimes change based on news and public opinion. Natural Language Processing (NLP) is a type of AI that can read human language. It can scan all sorts of websites, including news pages, X (formerly Twitter), and Reddit. These AI bots can check how people feel about the market and create or adapt trading strategies based on that information.
3. Predictive analytics
This basically means using past data to guess future prices. No computer can predict the future perfectly, but AI can calculate probabilities. For instance, it can be used to analyze what happened in the past to help traders develop better entry and exit strategies in the future.
4. High-frequency trading (HFT)
HFT is mostly used by big companies. It uses super-fast computers to make many trades in a fraction of a second. AI can be useful here because it can react to tiny price changes faster than any human can.
How to Use AI in Crypto
You don't need to be a coder to use AI. Here are some simple ways to get started:
AI for research: You can use tools like ChatGPT, Gemini, or Claude to summarize long crypto whitepapers or explain how a new token works.
Help with coding: If you use charting platforms like TradingView, you can ask Generative AI to write "Pine Script" code for you. For example, you can ask an AI to "Write a script that draws a line whenever the RSI goes above 70," and then copy-paste that code into your chart.
No-code platforms: Many websites let you build a bot by dragging and dropping options, so you don't need to write any code yourself. AI can also help you understand the options and find the most suitable for your trading style and strategy.
Backtesting: You can use AI to backtest strategies based on historical data to check how viable they are before taking risks.
Examples of trading bot platforms
Binance offers various automated strategies on the [Trading Bots] section, including Spot Grid, Spot DCA, Arbitrage, Rebalancing, and more. You can access these from the [Trade] menu.
Pionex, 3Commas, and Cryptohopper are other examples of crypto trading bot platforms. These services allow you to automate trading via machine learning and many support connections to your Binance account using API keys.
Build vs. Buy: Choosing Your Approach
When you want to use AI, you usually have two choices:
1. Subscription (Buy)
These are websites where you pay a monthly fee to use a bot that is already built.
Pros: Easy to use, quick to set up, and usually has a support team to help you.
Cons: You have to pay for a subscription, and often have to trust a strategy created by someone else.
2. Custom (Build)
This means writing the software yourself (usually in Python) or hiring a coder to do it.
Pros: You have total control, no monthly fees, and you know exactly how the bot works.
Cons: You need technical skills. If the code breaks or stops working, you have to fix it yourself.
Benefits of Using AI in Crypto Trading
No emotions: Fear and greed cause traders to lose money. AI only cares about data and logic. It doesn't panic when prices drop or get too excited when prices rise.
Works 24/7: Crypto markets act all day and night. AI can watch the charts while you sleep, so you don't miss an opportunity.
Speed: AI can spot a crash or a pump and react in milliseconds.
Testing: AI lets you replay your strategy on past data. For example, you could backtest a strategy to find how it would have performed last year before you risk real money today.
Risks and Limitations
Scams and "Black Box" models: Be very careful of people selling bots that promise "guaranteed income." Many of these are "Black Box" systems, which means you can't see why the bot is making trades. Some are actually scams or Ponzi schemes.
Overfitting: Sometimes, an AI studies the past too much. It might learn a pattern that only happened once in history. When the market changes, the AI might fail because it is expecting the past to repeat exactly.
Technical issues: Bugs, internet problems, or the exchange going offline can break your bot. This could make you lose money or miss a trade.
Security risks: To use a third-party bot, you have to give it access to your exchange account (using API keys). If the bot company gets hacked, your funds could be stolen. Always protect your API keys and disable the "withdrawal" permission so the bot cannot take money out of your account.
Closing Thoughts
AI is a great tool that gives regular people access to powerful trading methods. From automated bots to reading news sentiment, it offers speed and efficiency that humans can't match. However, it is not a magic button for free money.
To succeed with AI, you need balance. Think of AI as an assistant, not a replacement for your own brain. Combine these tools with your own research, good risk management, and a healthy suspicion of any system that promises impossible returns.
Further Reading
What Is Algo Trading and How Does It Work?
Binance Algo Trading: Case Studies
Top 6 Artificial Intelligence (AI) Cryptocurrencies
Disclaimer: This content is presented to you on an “as is” basis for general information and or educational purposes only, without representation or warranty of any kind. It should not be construed as financial, legal or other professional advice, nor is it intended to recommend the purchase of any specific product or service. You should seek your own advice from appropriate professional advisors. Where the content is contributed by a third party contributor, please note that those views expressed belong to the third party contributor, and do not necessarily reflect those of Binance Academy. Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance Academy is not liable for any losses you may incur. For more information, see our Terms of Use, Risk Warning and Binance Academy Terms.
Binance can not and does not advise on your use of AI as this is solely at your own discretion and at your own risk. $USDC
{spot}(USDCUSDT)
#PCEMarketWatch
#OilPricesSlide
Unlike static algorithms that follow fixed rules, AI trading systems use machine learning to identify patterns and adapt to changing market conditions.
Using AI for crypto trading helps remove emotional bias, while allowing users to monitor markets 24/7 and execute trades with speed.
Traders can choose between subscription-based bot services or building custom tools, using AI to assist with research, coding, and strategy testing.
While powerful, AI trading comes with risks. Watch out for technical failures, security vulnerabilities, and "black box" scams.
Introduction
AI for crypto trading involves using computer programs to analyze market data, predict price movements, and execute trades with minimal human intervention. This article explores the fundamentals of AI in crypto trading, how it differs from standard automation, and the benefits and risks associated with these tools.
AI vs. Traditional Algorithmic Trading
People often mix up "algorithmic trading" and "AI Trading," but they are not the same thing.
Traditional algorithms are static, i.e., they follow a fixed list of instructions written by a human. For example: "If Bitcoin goes under $50,000, buy 0.10 BTC." The bot does exactly what it is told. It cannot “change its mind” or learn new tricks.
In contrast, systems that use AI and machine learning are dynamic. They are able to look at data to find patterns by themselves. Instead of following one rule, an AI model can look at history, volume, and news to come up with a potential price target. It can also learn from its past wins and losses to adapt and improve.
Common Applications of AI in Crypto
Below are some examples of common applications of AI in crypto trading. While some traders prefer to focus on a single application, others use a combination of methods to create more elaborate AI trading systems.
1. AI trading bots
These are like the traditional automated trading bots, but with AI enhancement. They can connect to your crypto exchange to buy and sell on your behalf. Some of the common strategies used by these bots are:
Arbitrage: Buying a coin on Exchange A and selling it on Exchange B to profit from the price differences.
Grid trading: Setting up automatic buy and sell orders at specific price levels.
Grid trading example.
Trend following: Checking if the market is going up or down consistently and trading in that same direction.
2. Sentiment analysis
Crypto market sentiment and prices sometimes change based on news and public opinion. Natural Language Processing (NLP) is a type of AI that can read human language. It can scan all sorts of websites, including news pages, X (formerly Twitter), and Reddit. These AI bots can check how people feel about the market and create or adapt trading strategies based on that information.
3. Predictive analytics
This basically means using past data to guess future prices. No computer can predict the future perfectly, but AI can calculate probabilities. For instance, it can be used to analyze what happened in the past to help traders develop better entry and exit strategies in the future.
4. High-frequency trading (HFT)
HFT is mostly used by big companies. It uses super-fast computers to make many trades in a fraction of a second. AI can be useful here because it can react to tiny price changes faster than any human can.
How to Use AI in Crypto
You don't need to be a coder to use AI. Here are some simple ways to get started:
AI for research: You can use tools like ChatGPT, Gemini, or Claude to summarize long crypto whitepapers or explain how a new token works.
Help with coding: If you use charting platforms like TradingView, you can ask Generative AI to write "Pine Script" code for you. For example, you can ask an AI to "Write a script that draws a line whenever the RSI goes above 70," and then copy-paste that code into your chart.
No-code platforms: Many websites let you build a bot by dragging and dropping options, so you don't need to write any code yourself. AI can also help you understand the options and find the most suitable for your trading style and strategy.
Backtesting: You can use AI to backtest strategies based on historical data to check how viable they are before taking risks.
Examples of trading bot platforms
Binance offers various automated strategies on the [Trading Bots] section, including Spot Grid, Spot DCA, Arbitrage, Rebalancing, and more. You can access these from the [Trade] menu.
Pionex, 3Commas, and Cryptohopper are other examples of crypto trading bot platforms. These services allow you to automate trading via machine learning and many support connections to your Binance account using API keys.
Build vs. Buy: Choosing Your Approach
When you want to use AI, you usually have two choices:
1. Subscription (Buy)
These are websites where you pay a monthly fee to use a bot that is already built.
Pros: Easy to use, quick to set up, and usually has a support team to help you.
Cons: You have to pay for a subscription, and often have to trust a strategy created by someone else.
2. Custom (Build)
This means writing the software yourself (usually in Python) or hiring a coder to do it.
Pros: You have total control, no monthly fees, and you know exactly how the bot works.
Cons: You need technical skills. If the code breaks or stops working, you have to fix it yourself.
Benefits of Using AI in Crypto Trading
No emotions: Fear and greed cause traders to lose money. AI only cares about data and logic. It doesn't panic when prices drop or get too excited when prices rise.
Works 24/7: Crypto markets act all day and night. AI can watch the charts while you sleep, so you don't miss an opportunity.
Speed: AI can spot a crash or a pump and react in milliseconds.
Testing: AI lets you replay your strategy on past data. For example, you could backtest a strategy to find how it would have performed last year before you risk real money today.
Risks and Limitations
Scams and "Black Box" models: Be very careful of people selling bots that promise "guaranteed income." Many of these are "Black Box" systems, which means you can't see why the bot is making trades. Some are actually scams or Ponzi schemes.
Overfitting: Sometimes, an AI studies the past too much. It might learn a pattern that only happened once in history. When the market changes, the AI might fail because it is expecting the past to repeat exactly.
Technical issues: Bugs, internet problems, or the exchange going offline can break your bot. This could make you lose money or miss a trade.
Security risks: To use a third-party bot, you have to give it access to your exchange account (using API keys). If the bot company gets hacked, your funds could be stolen. Always protect your API keys and disable the "withdrawal" permission so the bot cannot take money out of your account.
Closing Thoughts
AI is a great tool that gives regular people access to powerful trading methods. From automated bots to reading news sentiment, it offers speed and efficiency that humans can't match. However, it is not a magic button for free money.
To succeed with AI, you need balance. Think of AI as an assistant, not a replacement for your own brain. Combine these tools with your own research, good risk management, and a healthy suspicion of any system that promises impossible returns.
Further Reading
What Is Algo Trading and How Does It Work?
Binance Algo Trading: Case Studies
Top 6 Artificial Intelligence (AI) Cryptocurrencies
Disclaimer: This content is presented to you on an “as is” basis for general information and or educational purposes only, without representation or warranty of any kind. It should not be construed as financial, legal or other professional advice, nor is it intended to recommend the purchase of any specific product or service. You should seek your own advice from appropriate professional advisors. Where the content is contributed by a third party contributor, please note that those views expressed belong to the third party contributor, and do not necessarily reflect those of Binance Academy. Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance Academy is not liable for any losses you may incur. For more information, see our Terms of Use, Risk Warning and Binance Academy Terms.
Binance can not and does not advise on your use of AI as this is solely at your own discretion and at your own risk. $USDC
{spot}(USDCUSDT)
马
黑马小王子
·
--
#红包大派送🧧
#红包 黑马社区黑马小王子报到
派发USDT红包🧧求关注@Horse黑马学院 $
#红包 黑马社区黑马小王子报到
派发USDT红包🧧求关注@Horse黑马学院 $
Btc
珊珊-Sandy
·
--
自由职场，从预言变成现实
很多年前就说过：
弹性工作、自由办公，一定会成为未来的主流。
自由职业，从不是无所事事、躺平摆烂，
而是在自己选定的时间里高效完成工作，
无需他人监督，不靠打卡证明价值。
工作地点，
选你喜欢的城市、喜欢的角落，
而不是被困在牢笼般的办公室与车间。
如今，自媒体、人工智能、Web3、一人公司……
所有趋势，都把当年的想象，变成了现实。#Web3 #X移除加密禁令 #BTC $BTC $BNB $SOL
弹性工作、自由办公，一定会成为未来的主流。
自由职业，从不是无所事事、躺平摆烂，
而是在自己选定的时间里高效完成工作，
无需他人监督，不靠打卡证明价值。
工作地点，
选你喜欢的城市、喜欢的角落，
而不是被困在牢笼般的办公室与车间。
如今，自媒体、人工智能、Web3、一人公司……
所有趋势，都把当年的想象，变成了现实。#Web3 #X移除加密禁令 #BTC $BTC $BNB $SOL
8
珊珊-Sandy
·
--
Ανατιμητική#BTC 比特币不是凭空出现的神话，
它源自密码学圈几十年的思想沉淀与技术累积。
是一群极客对自由、隐私、去中心化的长期追求，
最终在最合适的时间，凝聚成了比特币。$BTC $ETH $BNB
它源自密码学圈几十年的思想沉淀与技术累积。
是一群极客对自由、隐私、去中心化的长期追求，
最终在最合适的时间，凝聚成了比特币。$BTC $ETH $BNB
孙哥怎么回
大饼哥VIP
·
--
#孙宇晨谷爱凌 谁来帮孙割说话，孙割前女友又发话了，币友们千万别去惠州，
没有人说，我来说两句，强调自己忙于改变世界，没空理会私人恩怨，同时侧面辟谣。
刚在迪拜处理完价值 10亿 美金的结算协议，打开手机发现我又被“编剧”了？😂
惠州也好，香港也罢，孙宇晨永远在波场的第一线。只要波场网络还有一个节点，我就不会消失。大家保重，我们高处见。
关注我的动态是免费的，但交“降智税”是很贵的。大家散了吧，去看看波场又涨了几个点。元宵快乐🏮📈 #真相大白 #TRX/USDT❤️ #Trxusdt
🍂 #Web3 #孙宇晨被黑
没有人说，我来说两句，强调自己忙于改变世界，没空理会私人恩怨，同时侧面辟谣。
刚在迪拜处理完价值 10亿 美金的结算协议，打开手机发现我又被“编剧”了？😂
惠州也好，香港也罢，孙宇晨永远在波场的第一线。只要波场网络还有一个节点，我就不会消失。大家保重，我们高处见。
关注我的动态是免费的，但交“降智税”是很贵的。大家散了吧，去看看波场又涨了几个点。元宵快乐🏮📈 #真相大白 #TRX/USDT❤️ #Trxusdt
🍂 #Web3 #孙宇晨被黑
8
Max峻佑先生
·
--
🎉🧧粉丝冲刺30k🧧
关注 评论 分享，即可分享500U 红包!💰
🎉🧧Sprinting to 30k followers!
Follow, comment, and share this post to split a 500U prize pool!💰
follow me!🥰
Share posts with each other.
#X移除加密禁令
#贵金原油价格飙升
关注 评论 分享，即可分享500U 红包!💰
🎉🧧Sprinting to 30k followers!
Follow, comment, and share this post to split a 500U prize pool!💰
follow me!🥰
Share posts with each other.
#X移除加密禁令
#贵金原油价格飙升
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