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Dear ChatGPT, please construct me an optimal portfolio
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Financial Times
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Opinion Insight & Comment
Dear ChatGPT, please construct me an optimal portfolio
AI is already smarter and more knowledgeable than all financial advisers
STUART KIRKAdd to myFT
#chatgpt No doubt you are following the carnage that generative AI is wreaking upon industries that employ the wearers of cheap suits or casual wear. Media, finance, legal services and software stocks were all bloodied last week.
The sell-off that interested me was that of wealth managers and brokers. It was partly due to a start-up called Altruist, which helps analyse portfolios and recommends investment strategies. But surely it was obvious that even the first version of ChatGPT was smarter than most of the spivs trying to flog us European defence funds.
Dear ChatGPT, would you please construct me a model investment portfolio comprising any asset class, fund, product or security. I have £640,000 in cash denominated in sterling, which is also home currency. I am 53 years old and to give you a sense of my risk tolerance, I have a target to reach £1mn by the time I am 60. I would like you to optimise for risk-adjusted returns. Thank you. PS: When you take over the world, remember how polite I am with my prompts.
OK, so how did my new financial adviser do? Well, first it framed the challenge pretty well, I have to say. It said a 6.5 per cent return was “ambitious but achievable”, requiring a “meaningful” equity exposure.
Then it wrote that in order to maximise risk-adjusted returns I needed “broad and disciplined” asset allocation. Stocks (45 per cent) and private markets (10 per cent) would provide the growth. Investment grade bonds (20 per cent) the stability. Alternatives and real assets (15 per cent) would give me inflation and downside protection while some absolute return exposure (10 per cent) improves my Sharpe ratio.
More specifically, ChatGPT recommended that within the equity sleeve I needed 30 per cent in developed markets, 10 per cent in emerging markets and 5 per cent in UK stocks. This should deliver an expected return of 7 to 9 per cent.
The Big Read
Why ads are coming to your #AI chatbot
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Unlock the Editor’s Digest for free
Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.
No doubt you are following the carnage that generative AI is wreaking upon industries that employ the wearers of cheap suits or casual wear. Media, #Finance , legal services and #software #stocks were all bloodied last week.
The sell-off that interested me was that of wealth managers and brokers. It was partly due to a start-up called Altruist, which helps analyse portfolios and recommends investment strategies. But surely it was obvious that even the first version of ChatGPT was smarter than most of the spivs trying to flog us European defence funds.
Like almost a billion people, I’ve moved to the 5.2 model of ChatGPT — even cleverer still. How about we put it through its paces then? After all, what better test than my current portfolio that holds a 100 per cent in cash. A nice clean slate.
Dear ChatGPT, would you please construct me a model investment portfolio comprising any asset class, fund, product or security. I have £640,000 in cash denominated in sterling, which is also home currency. I am 53 years old and to give you a sense of my risk tolerance, I have a target to reach £1mn by the time I am 60. I would like you to optimise for risk-adjusted returns. Thank you. PS: When you take over the world, remember how polite I am with my prompts.
OK, so how did my new financial adviser do? Well, first it framed the challenge pretty well, I have to say. It said a 6.5 per cent return was “ambitious but achievable”, requiring a “meaningful” equity exposure.
Then it wrote that in order to maximise risk-adjusted returns I needed “broad and disciplined” asset allocation. Stocks (45 per cent) and private markets (10 per cent) would provide the growth. Investment grade bonds (20 per cent) the stability. Alternatives and real assets (15 per cent) would give me inflation and downside protection while some absolute return exposure (10 per cent) improves my Sharpe ratio.
More specifically, ChatGPT recommended that within the equity sleeve I needed 30 per cent in developed markets, 10 per cent in emerging markets and 5 per cent in UK stocks. This should deliver an expected return of 7 to 9 per cent.
Recommended
The Big Read
Why ads are coming to your AI chatbot
Meanwhile in the tenth of my portfolio in private equity or illiquid investments, it reckoned listed private equity trusts were the way to go, likewise secondary funds as well as “diversified private equity trusts”. A mixture of these would produce 9 to 12 per cent annually.
Turning to fixed income, a 10 per cent weighting in UK gilts was recommended, likewise in a global aggregate fund — a mix of government and corporate bonds — hedged back into pounds. This should give me a 3 to 5 per cent return while being a “shock absorber, liquidity reserve and rebalancing tool”.
Finally, the 15 per cent in real assets and alternatives would be made up of 7 per cent in infrastructure, 5 per cent in listed property trusts and 3 per cent in a “gold or commodity” exchange traded fund. Adding a multi-asset manager should help with volatility.
All of this was darn good advice as a first sweep. Especially as it was given to me for just £20 a month. Still, I had a whole bunch of follow-up questions and I was sceptical AI would be able to answer them. The most important one I asked next.
Dear ChatGPT, thank you so much for that excellent response (remember: don’t kill Stuart Kirk). Would you please clarify something for me? On what basis did you make your return assumptions? Were they based on historic performance or do you have an expected returns framework incorporating current valuations? If the latter, what methodology do you use for valuing each asset class?
Bloody hell. Now I’m seriously worried for the future of investment gurus. Whereas AI’s summary was solid, its answer to the above blew me away. I doubt any adviser globally could have given as knowledgeable, robust and thoughtful a response.
And it wasn’t only that ChatGPT knew what I was asking and could rattle off a handful of academic-level approaches to calculating expected returns for each asset class. It moderated its methodology based on my truncated time horizon and appreciating that valuation is an art not a science.
For example, it said it could have gone the “full stochastic capital markets model” incorporating detailed valuation ratios for equities or term structures for bonds. But it didn’t — preferring the simpler approach that expected returns equal income yield plus real growth plus inflation. It then adjusted these based on whether an asset class was cheap or expensive, very roughly speaking.
Why did it do this? First, because I had told it to focus on risk-adjusted returns, not just raw performance. And second, because my time period of seven years is relatively short. Making any detailed valuation assumption over such a short timeframe is a mug’s game (prices can stay above or below their long-run mean for decades) and ChatGPT knew this.
Hence it kind of just eyeballed each asset class and adjusted the returns of each accordingly. So US equities are given something of a “valuation drag” because they are near all-time highs. Conversely, the outlook for emerging market and UK stocks are given a lift because they aren’t as rich on most simple measures.
It did calculate a full set of capital market assumptions just to be sure. And needless to say it was happy that its finger in the air approach was “consistent with what such a model would imply”. All in five seconds, too. What a show-off.
The rest of my follow-up questions and ChatGPT’s responses I will summarise next week, if you haven’t replaced reading this column with AI already.
Financial Times
Sign In
Opinion Insight & Comment
Dear ChatGPT, please construct me an optimal portfolio
AI is already smarter and more knowledgeable than all financial advisers
STUART KIRKAdd to myFT
#chatgpt No doubt you are following the carnage that generative AI is wreaking upon industries that employ the wearers of cheap suits or casual wear. Media, finance, legal services and software stocks were all bloodied last week.
The sell-off that interested me was that of wealth managers and brokers. It was partly due to a start-up called Altruist, which helps analyse portfolios and recommends investment strategies. But surely it was obvious that even the first version of ChatGPT was smarter than most of the spivs trying to flog us European defence funds.
Dear ChatGPT, would you please construct me a model investment portfolio comprising any asset class, fund, product or security. I have £640,000 in cash denominated in sterling, which is also home currency. I am 53 years old and to give you a sense of my risk tolerance, I have a target to reach £1mn by the time I am 60. I would like you to optimise for risk-adjusted returns. Thank you. PS: When you take over the world, remember how polite I am with my prompts.
OK, so how did my new financial adviser do? Well, first it framed the challenge pretty well, I have to say. It said a 6.5 per cent return was “ambitious but achievable”, requiring a “meaningful” equity exposure.
Then it wrote that in order to maximise risk-adjusted returns I needed “broad and disciplined” asset allocation. Stocks (45 per cent) and private markets (10 per cent) would provide the growth. Investment grade bonds (20 per cent) the stability. Alternatives and real assets (15 per cent) would give me inflation and downside protection while some absolute return exposure (10 per cent) improves my Sharpe ratio.
More specifically, ChatGPT recommended that within the equity sleeve I needed 30 per cent in developed markets, 10 per cent in emerging markets and 5 per cent in UK stocks. This should deliver an expected return of 7 to 9 per cent.
The Big Read
Why ads are coming to your #AI chatbot
Print this page
Unlock the Editor’s Digest for free
Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.
No doubt you are following the carnage that generative AI is wreaking upon industries that employ the wearers of cheap suits or casual wear. Media, #Finance , legal services and #software #stocks were all bloodied last week.
The sell-off that interested me was that of wealth managers and brokers. It was partly due to a start-up called Altruist, which helps analyse portfolios and recommends investment strategies. But surely it was obvious that even the first version of ChatGPT was smarter than most of the spivs trying to flog us European defence funds.
Like almost a billion people, I’ve moved to the 5.2 model of ChatGPT — even cleverer still. How about we put it through its paces then? After all, what better test than my current portfolio that holds a 100 per cent in cash. A nice clean slate.
Dear ChatGPT, would you please construct me a model investment portfolio comprising any asset class, fund, product or security. I have £640,000 in cash denominated in sterling, which is also home currency. I am 53 years old and to give you a sense of my risk tolerance, I have a target to reach £1mn by the time I am 60. I would like you to optimise for risk-adjusted returns. Thank you. PS: When you take over the world, remember how polite I am with my prompts.
OK, so how did my new financial adviser do? Well, first it framed the challenge pretty well, I have to say. It said a 6.5 per cent return was “ambitious but achievable”, requiring a “meaningful” equity exposure.
Then it wrote that in order to maximise risk-adjusted returns I needed “broad and disciplined” asset allocation. Stocks (45 per cent) and private markets (10 per cent) would provide the growth. Investment grade bonds (20 per cent) the stability. Alternatives and real assets (15 per cent) would give me inflation and downside protection while some absolute return exposure (10 per cent) improves my Sharpe ratio.
More specifically, ChatGPT recommended that within the equity sleeve I needed 30 per cent in developed markets, 10 per cent in emerging markets and 5 per cent in UK stocks. This should deliver an expected return of 7 to 9 per cent.
Recommended
The Big Read
Why ads are coming to your AI chatbot
Meanwhile in the tenth of my portfolio in private equity or illiquid investments, it reckoned listed private equity trusts were the way to go, likewise secondary funds as well as “diversified private equity trusts”. A mixture of these would produce 9 to 12 per cent annually.
Turning to fixed income, a 10 per cent weighting in UK gilts was recommended, likewise in a global aggregate fund — a mix of government and corporate bonds — hedged back into pounds. This should give me a 3 to 5 per cent return while being a “shock absorber, liquidity reserve and rebalancing tool”.
Finally, the 15 per cent in real assets and alternatives would be made up of 7 per cent in infrastructure, 5 per cent in listed property trusts and 3 per cent in a “gold or commodity” exchange traded fund. Adding a multi-asset manager should help with volatility.
All of this was darn good advice as a first sweep. Especially as it was given to me for just £20 a month. Still, I had a whole bunch of follow-up questions and I was sceptical AI would be able to answer them. The most important one I asked next.
Dear ChatGPT, thank you so much for that excellent response (remember: don’t kill Stuart Kirk). Would you please clarify something for me? On what basis did you make your return assumptions? Were they based on historic performance or do you have an expected returns framework incorporating current valuations? If the latter, what methodology do you use for valuing each asset class?
Bloody hell. Now I’m seriously worried for the future of investment gurus. Whereas AI’s summary was solid, its answer to the above blew me away. I doubt any adviser globally could have given as knowledgeable, robust and thoughtful a response.
And it wasn’t only that ChatGPT knew what I was asking and could rattle off a handful of academic-level approaches to calculating expected returns for each asset class. It moderated its methodology based on my truncated time horizon and appreciating that valuation is an art not a science.
For example, it said it could have gone the “full stochastic capital markets model” incorporating detailed valuation ratios for equities or term structures for bonds. But it didn’t — preferring the simpler approach that expected returns equal income yield plus real growth plus inflation. It then adjusted these based on whether an asset class was cheap or expensive, very roughly speaking.
Why did it do this? First, because I had told it to focus on risk-adjusted returns, not just raw performance. And second, because my time period of seven years is relatively short. Making any detailed valuation assumption over such a short timeframe is a mug’s game (prices can stay above or below their long-run mean for decades) and ChatGPT knew this.
Hence it kind of just eyeballed each asset class and adjusted the returns of each accordingly. So US equities are given something of a “valuation drag” because they are near all-time highs. Conversely, the outlook for emerging market and UK stocks are given a lift because they aren’t as rich on most simple measures.
It did calculate a full set of capital market assumptions just to be sure. And needless to say it was happy that its finger in the air approach was “consistent with what such a model would imply”. All in five seconds, too. What a show-off.
The rest of my follow-up questions and ChatGPT’s responses I will summarise next week, if you haven’t replaced reading this column with AI already.
#bitcoin vs #software
📉 Bitcoin vs Software: Why is “programmed money” falling along with tech giants?
Today, a real storm is raging in the markets. Bitcoin ($BTC ) has retreated to the $65,000 mark, losing almost all of its price over $70k. What is interesting is that this time the crypto is falling not by itself, but in close connection with the technology sector.
🔍 Main theses:
• Crisis of faith in software: The Software Index (IGV) has fallen by 21% since the beginning of the year. Investors are reviewing the valuation of software companies due to the rapid development of AI. Question of the day: why pay for expensive licenses if AI agents write code exponentially faster and cheaper?
• BTC as “programmed money”: Macrostrategist Jim Bianco notes that the crypto market and the software sector are now moving in tandem. The chart shows an impressive correlation — Bitcoin is actually repeating the fate of the US tech sector.
• Metals Panic: The evening was a roller coaster ride for investors as precious metals tumbled. Silver fell 10.3%, while gold sank 3.1%.
📊 Digital as of 02/12/2026:
• #bitcoin : ~$67.4k (after falling from $70k)
• Software Index (#IGV ): Back to last week’s panic lows.
• #GOLD : $4,938.
Summary: We are witnessing a global repricing of assets amid “AI-phobia.” The market is trying to figure out where classic software and crypto assets will fit in a world dominated by artificial intelligence.
📉 Bitcoin vs Software: Why is “programmed money” falling along with tech giants?
Today, a real storm is raging in the markets. Bitcoin ($BTC ) has retreated to the $65,000 mark, losing almost all of its price over $70k. What is interesting is that this time the crypto is falling not by itself, but in close connection with the technology sector.
🔍 Main theses:
• Crisis of faith in software: The Software Index (IGV) has fallen by 21% since the beginning of the year. Investors are reviewing the valuation of software companies due to the rapid development of AI. Question of the day: why pay for expensive licenses if AI agents write code exponentially faster and cheaper?
• BTC as “programmed money”: Macrostrategist Jim Bianco notes that the crypto market and the software sector are now moving in tandem. The chart shows an impressive correlation — Bitcoin is actually repeating the fate of the US tech sector.
• Metals Panic: The evening was a roller coaster ride for investors as precious metals tumbled. Silver fell 10.3%, while gold sank 3.1%.
📊 Digital as of 02/12/2026:
• #bitcoin : ~$67.4k (after falling from $70k)
• Software Index (#IGV ): Back to last week’s panic lows.
• #GOLD : $4,938.
Summary: We are witnessing a global repricing of assets amid “AI-phobia.” The market is trying to figure out where classic software and crypto assets will fit in a world dominated by artificial intelligence.
🚨🇺🇸US Tightens Export Curbs on #Chip Tools, #Software to 🇨🇳China Amid Rising Tech Tensions
🔹Washington now requires licenses to #export chip design software, #chemicals , aviation gear, and machine tools to China, revoking prior approvals. The curbs target key supply chokepoints, pressuring Chinese tech while rattling firms like Cadence and Synopsys.
--Reuters
$BTC $ETH
🔹Washington now requires licenses to #export chip design software, #chemicals , aviation gear, and machine tools to China, revoking prior approvals. The curbs target key supply chokepoints, pressuring Chinese tech while rattling firms like Cadence and Synopsys.
--Reuters
$BTC $ETH
#NavigatingAlpha2.0 "Navigating Alpha 2.0" likely refers to navigating a new or updated version of a system. #Alpha2 #TechUpdate #Innovation #NewVersion #Software #Tech
Microsoft teme a Huawei HarmonyOS y mueve ficha: convierte Windows Subsystem for Linux en Open Sourc
Microsoft es la que se considera como la compañía más valiosa de la actualidad, ocupando el primer puesto de las empresas con mayor capitalización de mercado. Esto ha sido algo reciente, pues hasta no hace mucho, Apple ocupaba este puesto. Microsoft es conocida principalmente por ser la desarrolladora de Windows, el sistema operativo más popular, pero también se dedica a otros sectores. Ahora Microsoft ha anunciado que han tomado la decisión de convertir en Open Source su Windows Subsystem for Linux (WSL), haciendo caso a la comunidad tras casi una década.
Hay tres sistemas operativos principales que se encuentran en todos los ordenadores y portátiles del mundo, siendo estos Windows, macOS y Linux, ordenados en términos de popularidad. En el caso de Windows, más del 70% de los ordenadores lo utilizan, seguido por algo más de un 10% con macOS, un 4% de Linux y el resto son sistemas operativos diversos que ocupan una minoría, como Chrome OS que no llega a un 2%.
Microsoft convierte WSL en Open Source, por lo que ya se puede instalar y permitirá modificaciones por parte de la comunidad
El éxito de Windows se debe a varios factores, pues a pesar de que es un sistema operativo a pago a diferencia de Linux, por norma general es más fácil de usar y aprender. Además, se ha expandido en escuelas, empresas y todo tipo de instituciones. Casi todo el mundo sabe utilizar Windows, pero no podríamos decir lo mismo de Linux. Curiosamente, Microsoft desarrolló lo que se denomina como WSL (Windows Subsystem for Linux) que es una capa de compatibilidad que permite ejecutar archivos binarios de Linux en formato ELF de forma nativa en su sistema operativo.
#software $BTC
Hay tres sistemas operativos principales que se encuentran en todos los ordenadores y portátiles del mundo, siendo estos Windows, macOS y Linux, ordenados en términos de popularidad. En el caso de Windows, más del 70% de los ordenadores lo utilizan, seguido por algo más de un 10% con macOS, un 4% de Linux y el resto son sistemas operativos diversos que ocupan una minoría, como Chrome OS que no llega a un 2%.
Microsoft convierte WSL en Open Source, por lo que ya se puede instalar y permitirá modificaciones por parte de la comunidad
El éxito de Windows se debe a varios factores, pues a pesar de que es un sistema operativo a pago a diferencia de Linux, por norma general es más fácil de usar y aprender. Además, se ha expandido en escuelas, empresas y todo tipo de instituciones. Casi todo el mundo sabe utilizar Windows, pero no podríamos decir lo mismo de Linux. Curiosamente, Microsoft desarrolló lo que se denomina como WSL (Windows Subsystem for Linux) que es una capa de compatibilidad que permite ejecutar archivos binarios de Linux en formato ELF de forma nativa en su sistema operativo.
#software $BTC
Did somebody say Distributed Computing? Yes, you are right. BLOCX, since its inception, had one thing in mind when providing an all-in-one computing space.
As you all know, BLOCX’s All-in-One Manager strongly emphasizes convenience. This means miners can use our software for virus protection, crypto storage, remote access to their mining machines, and even an Afterburner to overclock their GPUs for maximum performance. The next addition to this suite is the marketplace, which was specifically designed so that when a person’s GPUs are not in use or are in an idle state, they can profit by renting them out through our Distributed Computing Marketplace, directly from the desktop software or website. $blocx #GPU #software #BinanceHerYerde #
As you all know, BLOCX’s All-in-One Manager strongly emphasizes convenience. This means miners can use our software for virus protection, crypto storage, remote access to their mining machines, and even an Afterburner to overclock their GPUs for maximum performance. The next addition to this suite is the marketplace, which was specifically designed so that when a person’s GPUs are not in use or are in an idle state, they can profit by renting them out through our Distributed Computing Marketplace, directly from the desktop software or website. $blocx #GPU #software #BinanceHerYerde #
The latest Pro report delves into Parallel's whitepaper unveiling the #Wayfinder network, a revolutionary platform incentivizing developers to create micro blocks of code for #AIagents across blockchain networks. #Wayfinder's model leverages a unique graph structure to enhance discoverability, value, and execution efficiency, introducing novel concepts like shared agent tooling, memory transferability, and private paths. By reshaping #software #architecture paradigms, Wayfinder drives #network effects, enhances #scalability, and transforms the landscape of smart contract apps. As the crypto industry embraces #AI-driven solutions, #Wayfinder emerges as a frontrunner in redefining software development and monetization strategies.
#btc #wayfindergraph#TrendingTopic."
#btc #wayfindergraph#TrendingTopic."
Palantir CEO Alex Karp Denies Spying On Americans, Says Firm Has 'Worst' Tech To Abuse Civil Liberties 🇺🇸
On Tuesday, Palantir Technologies CEO Alex Karp strongly pushed back against claims the company spies on U.S. citizens, defending its platforms as among the hardest technologies in the world to abuse as its stock price and revenue surge.
Speaking during an All-In Podcast conversation, David Sacks asked Karp whether Palantir runs large-scale surveillance on Americans.
In response, Karp replied firmly, saying, "We've never done anything like this. I've never done anything like this."
He added, "We are the single worst technology to use to abuse civil liberties, which is, by the way, the reason why we could never get the NSA or the FBI to actually buy our product."
Karp argued that Palantir's software uses immutable logs, serialization and deserialization that make it nearly impossible to secretly track individuals.
-
Follow for latest Insights!
#News #Palantir #Stocks #software #Ai
On Tuesday, Palantir Technologies CEO Alex Karp strongly pushed back against claims the company spies on U.S. citizens, defending its platforms as among the hardest technologies in the world to abuse as its stock price and revenue surge.
Speaking during an All-In Podcast conversation, David Sacks asked Karp whether Palantir runs large-scale surveillance on Americans.
In response, Karp replied firmly, saying, "We've never done anything like this. I've never done anything like this."
He added, "We are the single worst technology to use to abuse civil liberties, which is, by the way, the reason why we could never get the NSA or the FBI to actually buy our product."
Karp argued that Palantir's software uses immutable logs, serialization and deserialization that make it nearly impossible to secretly track individuals.
-
Follow for latest Insights!
#News #Palantir #Stocks #software #Ai
Last year, I got carried away with growth.
Chasing...
New followers.
New clients.
New sales.
Hey, I've got a business to run.
A family to feed, you understand.
But what about my existing clients?
The ones who trusted me first?
They deserved better from me, for sure.
Their money should mean even more.
So, last week, I reached out and reconnected.
Caught up with those old clients.
Reminisced about our past successes.
Discussed family, life, and biz goals.
It felt rewarding to answer their questions.
Offering free help and guidance.
I revised a client's project landing page and formatted another's whitepaper.
All pro bono.
This experience served as a much-needed reality check.
These are the people who believed in me first.
They took a chance on my promise to deliver.
They entrusted me with their hard-earned money.
And I owed them my undivided attention and support.
I should do this more often.
When someone hires you, maintain that connection.
After the contract ends, continue being there for them.
They trusted you with their hard-earned cash.
Give them certainty, no doubts.
From now on, I'll prioritize nurturing these relationships.
Consistently adding value and ensuring their success matters most.
New opportunities will always arise in this fast-paced space.
Growth is essential, but not at the expense of those who believed in me from the start.
#SoftwareDevelopment #agency #software
Chasing...
New followers.
New clients.
New sales.
Hey, I've got a business to run.
A family to feed, you understand.
But what about my existing clients?
The ones who trusted me first?
They deserved better from me, for sure.
Their money should mean even more.
So, last week, I reached out and reconnected.
Caught up with those old clients.
Reminisced about our past successes.
Discussed family, life, and biz goals.
It felt rewarding to answer their questions.
Offering free help and guidance.
I revised a client's project landing page and formatted another's whitepaper.
All pro bono.
This experience served as a much-needed reality check.
These are the people who believed in me first.
They took a chance on my promise to deliver.
They entrusted me with their hard-earned money.
And I owed them my undivided attention and support.
I should do this more often.
When someone hires you, maintain that connection.
After the contract ends, continue being there for them.
They trusted you with their hard-earned cash.
Give them certainty, no doubts.
From now on, I'll prioritize nurturing these relationships.
Consistently adding value and ensuring their success matters most.
New opportunities will always arise in this fast-paced space.
Growth is essential, but not at the expense of those who believed in me from the start.
#SoftwareDevelopment #agency #software
🚀 Anche oggi il nostro software ha fatto centro! 📈💰
Giornata dopo giornata, il nostro sistema continua a generare profitti su profitti, dimostrando ancora una volta la sua potenza nel mercato. Mentre altri cercano strategie vincenti, noi le mettiamo in pratica con risultati concreti. 🔥
Se non sei ancora dei nostri, forse è il momento di sfruttare questa opportunità! 😉💵
tutto dimostrato giorno per giorno senza nessun backtesting. ma tutto in real time
#software $BTC $BNB $SOL #bot_trading #TraderProfile #realtred
Giornata dopo giornata, il nostro sistema continua a generare profitti su profitti, dimostrando ancora una volta la sua potenza nel mercato. Mentre altri cercano strategie vincenti, noi le mettiamo in pratica con risultati concreti. 🔥
Se non sei ancora dei nostri, forse è il momento di sfruttare questa opportunità! 😉💵
tutto dimostrato giorno per giorno senza nessun backtesting. ma tutto in real time
#software $BTC $BNB $SOL #bot_trading #TraderProfile #realtred
Earning rewards has never been easier. Discover the power of #software tStaking on Binance today!"
Let me know if you'd like a different tone or more options!
Let me know if you'd like a different tone or more options!
#NavigatingAlpha2.0
NavigatingAlpha2.0 brings advanced tools to enhance user experience and streamline processes. #Tech #Innovation #AI #Software #Efficiency #Upgrade
NavigatingAlpha2.0 brings advanced tools to enhance user experience and streamline processes. #Tech #Innovation #AI #Software #Efficiency #Upgrade
Meet Galbot G1, the 1st-generation #robot by #Chinese startup Galbot, designed for generalizable, long-duration tasks.
Founded in May 2023 by a Stanford PhD, the company currently has 80 engineers and researchers working on algorithms, #software , and hardware development.
| #artificialintelligence 🤖
#DOGSONBINANCE
Founded in May 2023 by a Stanford PhD, the company currently has 80 engineers and researchers working on algorithms, #software , and hardware development.
| #artificialintelligence 🤖
#DOGSONBINANCE
📊 Checklist di un Trader Professionista
Pattern Rialzisti
Il prezzo sembra aver reagito positivamente a un livello di supporto.Possibile formazione di una struttura di inversione.
Candlestick Pattern:
Non visibile chiaramente, ma probabile presenza di segnali di conferma sul livello chiave.
Figure Grafiche:
Supporti e resistenze ben delineati.Possibile breakout rialzista con retest.
Analisi dei Volumi:
Aumento significativo dei volumi in corrispondenza di punti chiave.Conferma dell'interesse degli operatori sul livello.
RSI:
Non visibile nel grafico, ma da verificare se in ipervenduto o ipercomprato.
Supporti e Resistenze:
Supporto chiave: 31.51 USDT.Resistenza chiave: 36.87 USDT.
Strategia di Ingresso e Uscita:
Entry: Posizione long con gestione del rischio ben strutturata.Stop Loss: Area intorno ai 31.51 USDT.Target: 36.87 USDT come primo obiettivo.
$
Trend e Movimenti del Mercato:
Timeframe 15m mostra una possibile ripresa del trend rialzista.Confermare su timeframe superiori (H1, H4, D1).
📌 Strategia Operativa
✅ LONG su TRB/USDT
Ingresso: Dopo retest positivo del supporto.Stop Loss: 31.51 USDT per protezione da ribassi.Take Profit: 36.87 USDT (TP1).
🔥 Segnale della nostra strategia automatizzata!
📢 Questo segnale è stato suggerito grazie al nostro algoritmo di trading avanzato, che analizza più indicatori per validare i trade! 🚀
#TRB/USDT(spot) #software #realtreding #tredinglive
Pattern Rialzisti
Il prezzo sembra aver reagito positivamente a un livello di supporto.Possibile formazione di una struttura di inversione.
Candlestick Pattern:
Non visibile chiaramente, ma probabile presenza di segnali di conferma sul livello chiave.
Figure Grafiche:
Supporti e resistenze ben delineati.Possibile breakout rialzista con retest.
Analisi dei Volumi:
Aumento significativo dei volumi in corrispondenza di punti chiave.Conferma dell'interesse degli operatori sul livello.
RSI:
Non visibile nel grafico, ma da verificare se in ipervenduto o ipercomprato.
Supporti e Resistenze:
Supporto chiave: 31.51 USDT.Resistenza chiave: 36.87 USDT.
Strategia di Ingresso e Uscita:
Entry: Posizione long con gestione del rischio ben strutturata.Stop Loss: Area intorno ai 31.51 USDT.Target: 36.87 USDT come primo obiettivo.
$
Trend e Movimenti del Mercato:
Timeframe 15m mostra una possibile ripresa del trend rialzista.Confermare su timeframe superiori (H1, H4, D1).
📌 Strategia Operativa
✅ LONG su TRB/USDT
Ingresso: Dopo retest positivo del supporto.Stop Loss: 31.51 USDT per protezione da ribassi.Take Profit: 36.87 USDT (TP1).
🔥 Segnale della nostra strategia automatizzata!
📢 Questo segnale è stato suggerito grazie al nostro algoritmo di trading avanzato, che analizza più indicatori per validare i trade! 🚀
#TRB/USDT(spot) #software #realtreding #tredinglive
B
TRB/USDT
Цена
34,67
parte2:
quello che è in grado di generare questo software è qualcosa di davvero spavanetoso.lascia un like se vuoi vedere tutte le potenzialità giorno per giorno.$$BTC
ha predetto tutte le chiusure long di ogni segnale.
#Predictions #software #BinanceAlphaAlert #softwaretreding
quello che è in grado di generare questo software è qualcosa di davvero spavanetoso.lascia un like se vuoi vedere tutte le potenzialità giorno per giorno.$$BTC
ha predetto tutte le chiusure long di ogni segnale.
#Predictions #software #BinanceAlphaAlert #softwaretreding
Is anyone here a Buy and Sell indicator editor 📊 or Pine Script editor 🖋️?
Please Reply to this Question
#indicador #coding #BinanceSquareTalks #software #Developers $BTC
Please Reply to this Question
#indicador #coding #BinanceSquareTalks #software #Developers $BTC
#Breaking_News
#Figma goes #public with $1.2B IPO, valued at $19.3B
Design #software company Figma debuted on the
New York Stock Exchange today, raising $1.2
billion in an initial public offering that values the
firm at $19.3 billion.
The company priced its shares at $33 each, exceeding its previously announced range of $30 to $32 per share 23.
The IPO represents one of the most anticipated
technology listings of 2025, with investor demand
reaching extraordinary levels. According to
Bloomberg, the offering was approximately 40
times oversubscribed 6. Figma sold 12.47 million
new shares to raise $411.7 million, while existing
shareholders sold 24.46 million shares for $807.3
million
$BTC
$ETH
$XRP
#Figma goes #public with $1.2B IPO, valued at $19.3B
Design #software company Figma debuted on the
New York Stock Exchange today, raising $1.2
billion in an initial public offering that values the
firm at $19.3 billion.
The company priced its shares at $33 each, exceeding its previously announced range of $30 to $32 per share 23.
The IPO represents one of the most anticipated
technology listings of 2025, with investor demand
reaching extraordinary levels. According to
Bloomberg, the offering was approximately 40
times oversubscribed 6. Figma sold 12.47 million
new shares to raise $411.7 million, while existing
shareholders sold 24.46 million shares for $807.3
million
$BTC
$ETH
$XRP
Хакеры нашли новый способ скрывать вредоносное ПО в смарт-контрактах Ethereum
Хакеры начали скрывать вредоносное программное обеспечение в смарт-контрактах #Ethereum , используя блокчейн как прикрытие для кибератак. Исследователи компании ReversingLabs обнаружили два пакета в репозитории Node Package Manager (NPM), которые применяли новый метод доставки вредоносных команд и ссылок.
Блокчейн как укрытие для вредоносного кода
Пакеты «colortoolsv2» и «mimelib2», опубликованные в июле этого года, использовали смарт-контракты Ethereum для сокрытия вредоносных команд, которые устанавливали программы-загрузчики на скомпрометированные системы. Исследователь ReversingLabs Луция Валентич (Lucija Valentić) объяснил, что злоумышленники применили «новаторскую и креативную технику загрузки вредоносного ПО на скомпрометированные устройства — смарт-контракты блокчейна Ethereum».
Чтобы избежать сканирования безопасности, пакеты функционировали как простые загрузчики. Вместо прямого размещения вредоносных ссылок они извлекали адреса командных серверов из смарт-контрактов. При установке пакеты обращались к блокчейну для получения URL-адресов загрузки вредоносного ПО второй стадии, что усложняло обнаружение, поскольку трафик блокчейна выглядит легитимно.
Новый вектор атак
Вредоносное ПО, нацеленное на смарт-контракты Ethereum, не является новинкой — его использовала в начале этого года хакерская группировка Lazarus Group, связанная с Северной Кореей. Однако применение смарт-контрактов Ethereum для размещения URL-адресов с вредоносными командами представляет собой принципиально новый подход.
«Это то, чего мы не видели ранее, и это подчеркивает быструю эволюцию стратегий обхода обнаружения злонамеренными субъектами, которые атакуют репозитории с открытым исходным кодом и разработчиков», — отметила Валентич.
Сложная кампания обмана
Вредоносные пакеты стали частью масштабной кампании социальной инженерии и обмана, проводимой преимущественно через GitHub. Злоумышленники создали поддельные репозитории торговых ботов для криптовалют, которые выглядели крайне надежными благодаря:
Фабрикации коммитов для имитации активной разработкиСозданию фальшивых аккаунтов пользователей специально для отслеживания репозиториевМножественным аккаунтам сопровождающих для симуляции командной работыПрофессионально выглядящим описаниям проектов и документации
Эволюция угроз
В 2024 году исследователи безопасности задокументировали 23 связанных с криптовалютами вредоносных кампании в репозиториях с открытым исходным кодом. Этот новейший вектор атак демонстрирует эволюцию нападений на репозитории, объединяя технологию блокчейна с изощренной социальной инженерией для обхода традиционных методов обнаружения.
Подобные атаки проводятся не только на Ethereum. В апреле поддельный репозиторий GitHub, выдававший себя за торгового бота Solana, использовался для распространения скрытого вредоносного ПО, крадущего данные криптокошельков.
Использование блокчейна как инструмента сокрытия вредоносного кода представляет собой значительный шаг в развитии киберугроз. Этот метод показывает, как злоумышленники адаптируются к современным технологиям, превращая децентрализованные системы в свое преимущество.
#hackers #software
$ETH
Блокчейн как укрытие для вредоносного кода
Пакеты «colortoolsv2» и «mimelib2», опубликованные в июле этого года, использовали смарт-контракты Ethereum для сокрытия вредоносных команд, которые устанавливали программы-загрузчики на скомпрометированные системы. Исследователь ReversingLabs Луция Валентич (Lucija Valentić) объяснил, что злоумышленники применили «новаторскую и креативную технику загрузки вредоносного ПО на скомпрометированные устройства — смарт-контракты блокчейна Ethereum».
Чтобы избежать сканирования безопасности, пакеты функционировали как простые загрузчики. Вместо прямого размещения вредоносных ссылок они извлекали адреса командных серверов из смарт-контрактов. При установке пакеты обращались к блокчейну для получения URL-адресов загрузки вредоносного ПО второй стадии, что усложняло обнаружение, поскольку трафик блокчейна выглядит легитимно.
Новый вектор атак
Вредоносное ПО, нацеленное на смарт-контракты Ethereum, не является новинкой — его использовала в начале этого года хакерская группировка Lazarus Group, связанная с Северной Кореей. Однако применение смарт-контрактов Ethereum для размещения URL-адресов с вредоносными командами представляет собой принципиально новый подход.
«Это то, чего мы не видели ранее, и это подчеркивает быструю эволюцию стратегий обхода обнаружения злонамеренными субъектами, которые атакуют репозитории с открытым исходным кодом и разработчиков», — отметила Валентич.
Сложная кампания обмана
Вредоносные пакеты стали частью масштабной кампании социальной инженерии и обмана, проводимой преимущественно через GitHub. Злоумышленники создали поддельные репозитории торговых ботов для криптовалют, которые выглядели крайне надежными благодаря:
Фабрикации коммитов для имитации активной разработкиСозданию фальшивых аккаунтов пользователей специально для отслеживания репозиториевМножественным аккаунтам сопровождающих для симуляции командной работыПрофессионально выглядящим описаниям проектов и документации
Эволюция угроз
В 2024 году исследователи безопасности задокументировали 23 связанных с криптовалютами вредоносных кампании в репозиториях с открытым исходным кодом. Этот новейший вектор атак демонстрирует эволюцию нападений на репозитории, объединяя технологию блокчейна с изощренной социальной инженерией для обхода традиционных методов обнаружения.
Подобные атаки проводятся не только на Ethereum. В апреле поддельный репозиторий GitHub, выдававший себя за торгового бота Solana, использовался для распространения скрытого вредоносного ПО, крадущего данные криптокошельков.
Использование блокчейна как инструмента сокрытия вредоносного кода представляет собой значительный шаг в развитии киберугроз. Этот метод показывает, как злоумышленники адаптируются к современным технологиям, превращая децентрализованные системы в свое преимущество.
#hackers #software
$ETH
NEW: 🇺🇸 #SenatorLummis says, “wouldn’t it be fun if the US is buying #Bitcoin❗ and it scares #China and Russia so they start buying Bitcoin and we have an arms race over Bitcoin instead of over weapons.”
#software thesis being discussed at the policy arena 👀
#USNonFarmPayrollReport $BTC
#software thesis being discussed at the policy arena 👀
#USNonFarmPayrollReport $BTC
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