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JPMorgan AI Research Report: "Algorithmic decision-making removes the two largest sources of retail trading losses, emotional bias and inconsistent execution" This trader just spent 65 seconds explaining why Claude AI is a better trader than most humans His argument is simple: - AI doesn't revenge-trade after a loss -...

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cristal

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10,741 次观看 • 28 天前 •via X (Twitter)

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Losses in forex is inevitable Basically what happens is that when a trader loses money in the Forex market, the money does not go to any particular person or entity. Instead, the money is considered a loss and disappears from the trader's account. When a trader loses money, the losses are simply deducted from their trading account balance. When a stock tumbles and an investor loses money, the money doesn't get redistributed to someone else. Drops in account value reflect dwindling investor interest and a change in investor perception of the stock. The best way to deal with a big trading loss is to take a small break. Consider your strategy and your position size before jumping back in. When you do decide you are ready, start small. If you are trading as an institutional trader, you will be taxed just as any other employee. In case you are a retail Forex trader, you will need to report your profits and losses. Retail Forex traders use a Form 1040 or Form 1040NR in the USA. Either trading too big or too often is the most common reason why Forex traders fail. Overtrading might be caused by unrealistically high profit goals, market addiction, or insufficient capitalization. The maximum loss per trade can be categorized into three levels: conservative, moderate, and aggressive. Traders who are conservative about safeguarding their capital will take a chance of no more than 1% on their total trading capital per trade. Good morning traders
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Losses in forex is inevitable Basically what happens is that when a trader loses money in the Forex market, the money does not go to any particular person or entity. Instead, the money is considered a loss and disappears from the trader's account. When a trader loses money, the losses are simply deducted from their trading account balance. When a stock tumbles and an investor loses money, the money doesn't get redistributed to someone else. Drops in account value reflect dwindling investor interest and a change in investor perception of the stock. The best way to deal with a big trading loss is to take a small break. Consider your strategy and your position size before jumping back in. When you do decide you are ready, start small. If you are trading as an institutional trader, you will be taxed just as any other employee. In case you are a retail Forex trader, you will need to report your profits and losses. Retail Forex traders use a Form 1040 or Form 1040NR in the USA. Either trading too big or too often is the most common reason why Forex traders fail. Overtrading might be caused by unrealistically high profit goals, market addiction, or insufficient capitalization. The maximum loss per trade can be categorized into three levels: conservative, moderate, and aggressive. Traders who are conservative about safeguarding their capital will take a chance of no more than 1% on their total trading capital per trade. Good morning traders

FxLion

25,437 次观看 • 1 年前

Most traders don’t lose because the strategy failed. They lose because they touched it. Cut winners early. Move stop losses. FOMO into random entries. Revenge trade after one bad position. Automation removes all of that. Copytrade You write the rules in plain English. AI tests them, deploys them, and executes 24/7 without emotion. Horizon Trade No fear. No hesitation. No impulsive “one more trade.” The system doesn’t care if you’re tired, emotional, distracted, or doubting yourself. It just executes. That’s why automated traders are starting to outperform people with better ideas but worse discipline. Your biggest trading enemy was never the market. It was inconsistent execution.
0:54

Most traders don’t lose because the strategy failed. They lose because they touched it. Cut winners early. Move stop losses. FOMO into random entries. Revenge trade after one bad position. Automation removes all of that. Copytrade You write the rules in plain English. AI tests them, deploys them, and executes 24/7 without emotion. Horizon Trade No fear. No hesitation. No impulsive “one more trade.” The system doesn’t care if you’re tired, emotional, distracted, or doubting yourself. It just executes. That’s why automated traders are starting to outperform people with better ideas but worse discipline. Your biggest trading enemy was never the market. It was inconsistent execution.

Philanthrop

12,445 次观看 • 1 个月前

MENTORING FUTURE MILLIONAIRES! Most traders lose from lack of discipline, lack of stop losses, and lack of clarity in the Stock Market. This is why I love live trading in person to show you how SIMPLE trading can be. When you eliminate the gamble, you become the house.
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MENTORING FUTURE MILLIONAIRES! Most traders lose from lack of discipline, lack of stop losses, and lack of clarity in the Stock Market. This is why I love live trading in person to show you how SIMPLE trading can be. When you eliminate the gamble, you become the house.

DekmarTrades via TradeCaster

48,493 次观看 • 1 年前

Jane Street pays $750k/year for engineers who build AI trading systems from scratch. This 15-minute talk by Jane Street senior engineer shows the exact system behind a $750k/year skillset. here's what he covers: • why generic AI fails at a top trading firm • custom models trained on their own trading code • real-time grading of every AI-written change • one AI engine across the whole trading desk most retail traders are still using generic AI tools - while the top hedge funds train their own models Watch this video then read article below
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Jane Street pays $750k/year for engineers who build AI trading systems from scratch. This 15-minute talk by Jane Street senior engineer shows the exact system behind a $750k/year skillset. here's what he covers: • why generic AI fails at a top trading firm • custom models trained on their own trading code • real-time grading of every AI-written change • one AI engine across the whole trading desk most retail traders are still using generic AI tools - while the top hedge funds train their own models Watch this video then read article below

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23,077 次观看 • 1 个月前

The future of trading isn’t AI, It’s traders who know how to use it 🚨 U.S. Investing Championship trader Marios Stamatoudis (290% return) explains why the next generation of elite traders will be hybrid, combining AI with discretionary decision making. Full episode 👇
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The future of trading isn’t AI, It’s traders who know how to use it 🚨 U.S. Investing Championship trader Marios Stamatoudis (290% return) explains why the next generation of elite traders will be hybrid, combining AI with discretionary decision making. Full episode 👇

Riz Iqbal

39,549 次观看 • 4 个月前

what happens to trading if AI keeps getting better? Dwarkesh Patel asked Jane Street's head of technology the obvious question: if we get AGI, can't it just replace what you do? his answer: "trading feels to me like AGI-complete." "all of the different problems of the world end up influencing what you're doing in a trading context. trading involves figuring out what things are worth. which means making predictions about the future. and lots of different things flow into that." in other words, to fully automate trading you'd need to fully automate understanding the entire world. every geopolitical event, every supply chain shift, every behavioral pattern, every regulatory change, it all feeds into price. and even at a firm running tens of thousands of GPUs with sub-100-nanosecond execution: "many of your most profitable days happen when weird stuff happens and nobody knows what's going on. doing that well involves human judgment. we think humans work better than models through phase transitions." his conclusion: "i have never been more desperate to hire more engineers and traders than i am today. everything people are doing is more valuable than it was." so what does this mean for the rest of us? if the most automated trading firm on earth is saying humans matter more not less. the implication is that AI doesn't shrink the opportunity in trading. it raises the bar for what each person can do. the traders who learn to use these tools will pull further ahead. the ones who don't will fall further behind.
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what happens to trading if AI keeps getting better? Dwarkesh Patel asked Jane Street's head of technology the obvious question: if we get AGI, can't it just replace what you do? his answer: "trading feels to me like AGI-complete." "all of the different problems of the world end up influencing what you're doing in a trading context. trading involves figuring out what things are worth. which means making predictions about the future. and lots of different things flow into that." in other words, to fully automate trading you'd need to fully automate understanding the entire world. every geopolitical event, every supply chain shift, every behavioral pattern, every regulatory change, it all feeds into price. and even at a firm running tens of thousands of GPUs with sub-100-nanosecond execution: "many of your most profitable days happen when weird stuff happens and nobody knows what's going on. doing that well involves human judgment. we think humans work better than models through phase transitions." his conclusion: "i have never been more desperate to hire more engineers and traders than i am today. everything people are doing is more valuable than it was." so what does this mean for the rest of us? if the most automated trading firm on earth is saying humans matter more not less. the implication is that AI doesn't shrink the opportunity in trading. it raises the bar for what each person can do. the traders who learn to use these tools will pull further ahead. the ones who don't will fall further behind.

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8) Because how bad has this problem gotten? Well even TMZ is covering it now & $400,000,000+ of retail investor money is literally trading alongside Politicians right now If that doesn't highlight the hypocrisy of their trading, idk what will
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8) Because how bad has this problem gotten? Well even TMZ is covering it now & $400,000,000+ of retail investor money is literally trading alongside Politicians right now If that doesn't highlight the hypocrisy of their trading, idk what will

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212,911 次观看 • 11 个月前

The SEC just killed the $25,000 day trading rule. 25 years. finally over. The Pattern Day Trader rule is officially eliminated. New minimum is $2,000. I asked Claude what this means for retail traders: 🟢 CLAUDE'S ANALYSIS - April 15, 2026 "This is the biggest democratization event in retail trading since commission-free brokerages in 2019." The PDT rule was a wealth gate - not a risk gate. It didn't protect small traders, it excluded them. A trader with $500 can now run the same intraday strategies a $25,000 account ran for 25 years. The edge was never the capital. It was the access. The barrier just dropped from $25,000 to one prompt" the old game: → need $25,000 to day trade → 90-day freeze if you broke the rule → retail locked out for 25 years the new game: → $2,000 minimum → unlimited day trades → any account can run automated strategies Claude can build that strategy for you 30 minutes. zero code. Join for the full Claude Trading guide.
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The SEC just killed the $25,000 day trading rule. 25 years. finally over. The Pattern Day Trader rule is officially eliminated. New minimum is $2,000. I asked Claude what this means for retail traders: 🟢 CLAUDE'S ANALYSIS - April 15, 2026 "This is the biggest democratization event in retail trading since commission-free brokerages in 2019." The PDT rule was a wealth gate - not a risk gate. It didn't protect small traders, it excluded them. A trader with $500 can now run the same intraday strategies a $25,000 account ran for 25 years. The edge was never the capital. It was the access. The barrier just dropped from $25,000 to one prompt" the old game: → need $25,000 to day trade → 90-day freeze if you broke the rule → retail locked out for 25 years the new game: → $2,000 minimum → unlimited day trades → any account can run automated strategies Claude can build that strategy for you 30 minutes. zero code. Join for the full Claude Trading guide.

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The TradeHost AI from allows Betfair traders to use our AI for speed ratings, form, course, draw and many other criteria. These parameters are then ranked in order by the AI and this creates a total rating number for each horse running every single day 24/7. This can be especially useful for beginners or those who don't have the time or expertise to develop their own trading strategies for Betfair. The TradeHost AI will find value - the most important factor for trading and betting on Betfair - without members having to do any research. We call it trading with a view. Most Betfair traders that don't trade with a view will lose money - in running and pre race! Copy trading using the TradeHost AI can help Betfair traders diversify their portfolios, reduce risk, and potentially increase Betfair profits by following the strategies of the successful JuiceStorm automated trading portfolio that has used AI on Betfair since 2021.
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The TradeHost AI from allows Betfair traders to use our AI for speed ratings, form, course, draw and many other criteria. These parameters are then ranked in order by the AI and this creates a total rating number for each horse running every single day 24/7. This can be especially useful for beginners or those who don't have the time or expertise to develop their own trading strategies for Betfair. The TradeHost AI will find value - the most important factor for trading and betting on Betfair - without members having to do any research. We call it trading with a view. Most Betfair traders that don't trade with a view will lose money - in running and pre race! Copy trading using the TradeHost AI can help Betfair traders diversify their portfolios, reduce risk, and potentially increase Betfair profits by following the strategies of the successful JuiceStorm automated trading portfolio that has used AI on Betfair since 2021.

Betfair Trading - JuiceStorm.com

29,329 次观看 • 2 年前

97% of traders lose money. Manual trading is a thing of the past. Have you picked your AI trading agent? Closed beta. ~100 codes going out this week. Follow + RT + reply "agent" and we'll DM you one.
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97% of traders lose money. Manual trading is a thing of the past. Have you picked your AI trading agent? Closed beta. ~100 codes going out this week. Follow + RT + reply "agent" and we'll DM you one.

Nabu

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Was that the right stop loss and profit target for your last trade? 👇 🤨 How do you experiment with these settings? Live in the middle of the trade? 😳 Some traders do, and that's how accounts are blown up. journal's Multi-trading simulator is one of the best ways to practice multi-timeframe trading and also on the placement of stops and profits. It takes a few minutes, costs you $0 in real-money losses, and there are infinite ways to practice on TradesViz | Trading Performance Analysis's simulators. 🚨 If you are not regularly optimizing and calibrating your stops based on market conditions, you will be erasing your gains fast... Markets change. Volatility is never constant. This doesn't mean you should change your trading strategy completely, but frequent revisions and optimizations MUST be carried out. This is where TradesViz | Trading Performance Analysis can help - backtesting, analysis, optimisation, journlaing and more in one single platform. #NTUpartner
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Was that the right stop loss and profit target for your last trade? 👇 🤨 How do you experiment with these settings? Live in the middle of the trade? 😳 Some traders do, and that's how accounts are blown up. journal's Multi-trading simulator is one of the best ways to practice multi-timeframe trading and also on the placement of stops and profits. It takes a few minutes, costs you $0 in real-money losses, and there are infinite ways to practice on TradesViz | Trading Performance Analysis's simulators. 🚨 If you are not regularly optimizing and calibrating your stops based on market conditions, you will be erasing your gains fast... Markets change. Volatility is never constant. This doesn't mean you should change your trading strategy completely, but frequent revisions and optimizations MUST be carried out. This is where TradesViz | Trading Performance Analysis can help - backtesting, analysis, optimisation, journlaing and more in one single platform. #NTUpartner

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This 3-hour algorithmic trading video with Python is like getting a mini course from Massachusetts Institute of Technology - for free It reveals more about quant trading and bots than most traders learn in years on the market Bookmark it. Watch it. Then watch it again.
2:59:19

This 3-hour algorithmic trading video with Python is like getting a mini course from Massachusetts Institute of Technology - for free It reveals more about quant trading and bots than most traders learn in years on the market Bookmark it. Watch it. Then watch it again.

sopersone

160,427 次观看 • 3 个月前

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.
2:38

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 次观看 • 7 个月前

Boba Agents is live The first agent-native AI trading terminal on SOL, BASE, BSC, and more. Equip your agents with the same tools and infrastructure top traders use everyday. Turn Claude into your advanced market maker, trader, or analyst.
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Boba Agents is live The first agent-native AI trading terminal on SOL, BASE, BSC, and more. Equip your agents with the same tools and infrastructure top traders use everyday. Turn Claude into your advanced market maker, trader, or analyst.

Boba

143,345 次观看 • 5 个月前

Proud to announce Algostra: the first truly comprehensive algo trading platform built by a brokerage house. Algostra supports all charting methods, technical strategies, and multiple ways to implement options strategies. Run up to 500 symbols per strategy and multiple strategies running simultaneously. This makes it a one-of-a-kind algo trading platform. No coding. No integrations. Just structured, disciplined execution. Years of research, market experience, and real trader feedback have gone into building this platform.. and this is only the beginning. What you see today is just a fraction of what we plan to build. I am confident Algostra will help retail and HNI traders and investors in many meaningful ways. We are also going to collaborate with research analysts who wish to publish and deploy their strategies. Rolling out in batches. Built for traders who believe process and execution matters more than intention. Excited!
2:00

Proud to announce Algostra: the first truly comprehensive algo trading platform built by a brokerage house. Algostra supports all charting methods, technical strategies, and multiple ways to implement options strategies. Run up to 500 symbols per strategy and multiple strategies running simultaneously. This makes it a one-of-a-kind algo trading platform. No coding. No integrations. Just structured, disciplined execution. Years of research, market experience, and real trader feedback have gone into building this platform.. and this is only the beginning. What you see today is just a fraction of what we plan to build. I am confident Algostra will help retail and HNI traders and investors in many meaningful ways. We are also going to collaborate with research analysts who wish to publish and deploy their strategies. Rolling out in batches. Built for traders who believe process and execution matters more than intention. Excited!

Prashant Shah

10,551 次观看 • 5 个月前

15 LOSING Traders vs The BEST Prop Firm Trader In The WORLD🚨 JadeCap sits down with 15 struggling traders and exposes the brutal habits stopping them from getting payouts consistently. Overtrading, revenge trading, emotional losses and unrealistic expectations. Full episode👇
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15 LOSING Traders vs The BEST Prop Firm Trader In The WORLD🚨 JadeCap sits down with 15 struggling traders and exposes the brutal habits stopping them from getting payouts consistently. Overtrading, revenge trading, emotional losses and unrealistic expectations. Full episode👇

Riz Iqbal

87,494 次观看 • 1 个月前

One of the main reasons why traders blow up accounts and cannot learn from their mistakes to be successful at it. Only 3/10 traders make it in trading and these emotions are the main reason. It is not market manipulation. It is not the overnight news. It is rather the risk management that is associated and toed to their emotions. #tranding #trader #psychology #optionstrading #tradeideaoftheweek
0:57

One of the main reasons why traders blow up accounts and cannot learn from their mistakes to be successful at it. Only 3/10 traders make it in trading and these emotions are the main reason. It is not market manipulation. It is not the overnight news. It is rather the risk management that is associated and toed to their emotions. #tranding #trader #psychology #optionstrading #tradeideaoftheweek

ProblemSniper

12,476 次观看 • 4 个月前