Binance Square
#chatgpttrading

chatgpttrading

348,192 vistas
113 están debatiendo
Luna Deyette
·
--
$🚫✋🏼STOP TELLING CHATGPT “ACT AS A STOCK TRADING EXPERT”. BAD PROMPT = BAD RESULT. USE THESE PROMPTS INSTEAD AND YOU'LL SEE THE MAGIC: 1. Personal Market Analyst "Act as a professional stock market analyst and analyze the following stock based on fundamentals, financial ratios, business model, strength of the management team, competitive advantage, and long-term potential. Present your conclusions clearly. Stock: [name]" 2. Technical Analysis of the Chart “Interpret the technical chart of this stock using key indicators such as moving averages, RSI, MACD, trend lines, supports/resistances, and volume. Explain probable scenarios, not predictions. Chart data: [paste]” 3. Trading Strategies Simulator “Act as a trading mentor and help me test different trading strategies (swing, intraday, position). Simulate how each strategy might perform under various market conditions. Strategy type: [insert]. Risk level: [insert]” 4. Personal Risk Manager "Analyze my risk appetite and create a diversified stock exposure plan. DO NOT recommend specific stocks. Define percentage allocations, time horizons, and risk controls. Profile: [age, risk tolerance, goals]." 5. AI Stock Screener "Create a checklist to identify high-quality stocks based on valuation, growth, financial health, competitive advantage, and risk factors. Then apply the checklist to this stock: Stock: [name]" 6. News Impact Analyzer "Analyze how this news event may impact the stock or sector. Provide balanced short- and long-term implications without buy/sell recommendations. News: [paste]. Stock/Sector: [name]" 7. Daily Market Notebook “Design a simple 10-minute daily market routine that includes reviewing indices, scanning news, checking the watchlist, analyzing charts, and assessing risk. Make it easy to follow consistently.” 8. Macro and Economic Focus “Explain how macroeconomic indicators such as GDP, inflation, interest rates, and unemployment affect this stock or sector. Focus on the context, not on predictions. Input: [stock/sector]” #ChatGPTTrading
$🚫✋🏼STOP TELLING CHATGPT “ACT AS A STOCK TRADING EXPERT”.

BAD PROMPT = BAD RESULT.

USE THESE PROMPTS INSTEAD AND YOU'LL SEE THE MAGIC:

1. Personal Market Analyst

"Act as a professional stock market analyst and analyze the following stock based on fundamentals, financial ratios, business model, strength of the management team, competitive advantage, and long-term potential. Present your conclusions clearly. Stock: [name]"

2. Technical Analysis of the Chart

“Interpret the technical chart of this stock using key indicators such as moving averages, RSI, MACD, trend lines, supports/resistances, and volume. Explain probable scenarios, not predictions. Chart data: [paste]”

3. Trading Strategies Simulator

“Act as a trading mentor and help me test different trading strategies (swing, intraday, position). Simulate how each strategy might perform under various market conditions. Strategy type: [insert]. Risk level: [insert]”

4. Personal Risk Manager

"Analyze my risk appetite and create a diversified stock exposure plan. DO NOT recommend specific stocks. Define percentage allocations, time horizons, and risk controls. Profile: [age, risk tolerance, goals]."

5. AI Stock Screener

"Create a checklist to identify high-quality stocks based on valuation, growth, financial health, competitive advantage, and risk factors. Then apply the checklist to this stock: Stock: [name]"

6. News Impact Analyzer

"Analyze how this news event may impact the stock or sector. Provide balanced short- and long-term implications without buy/sell recommendations. News: [paste]. Stock/Sector: [name]"

7. Daily Market Notebook

“Design a simple 10-minute daily market routine that includes reviewing indices, scanning news, checking the watchlist, analyzing charts, and assessing risk. Make it easy to follow consistently.”

8. Macro and Economic Focus

“Explain how macroeconomic indicators such as GDP, inflation, interest rates, and unemployment affect this stock or sector. Focus on the context, not on predictions. Input: [stock/sector]”

#ChatGPTTrading
AGREE
DISAGREE
2 día(s) restante(s)
The situation on Trump's page 😐 🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣 The ChatGPT 5 subscription was worth it 😁 GOOD PEOPLE, SOMEONE GIVE HIM A PILL! CAN'T YOU SEE THE MAN ISN'T WELL... #TRUMP #ChatGPT5 #ChatGPTTrading $BNB {future}(BNBUSDT)
The situation on Trump's page 😐
🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣

The ChatGPT 5 subscription was worth it 😁
GOOD PEOPLE, SOMEONE GIVE HIM A PILL! CAN'T YOU SEE THE MAN ISN'T WELL...
#TRUMP #ChatGPT5 #ChatGPTTrading
$BNB
Vika6:
😅
What makes memory in AI so interesting is that it seems harmless right up until the moment it becomes genuinely useful. That was the thought I kept returning to while looking at OpenGradient’s MemSync. $OPG {future}(OPGUSDT) The problem it addresses is easy to recognise. #everyone AI platform starts with an incomplete picture of who you are. What you share on #chatgpt stays #ChatGPTTrading Claude does not know those conversations, and Perplexity starts fresh as well. As a result, users repeatedly explain the same projects, preferences, workflows, and goals across multiple tools. What stood out to me is that MemSync is not attempting to replace existing AI assistants. Instead, it positions itself as a connective layer between them. Rather than rebuilding context from scratch whenever you switch applications, your conversation history, preferences, and relevant information can move with you. On the surface, that sounds simple, but in practice, it could fundamentally change the user experience. The objective is not to create another assistant—it is to enable different assistants to understand and serve the same individual consistently. $OPG {spot}(OPGUSDT) Yet the more valuable the memory becomes, the more sensitive it becomes as well. This is where MemSync differs from Local Agent. A local agent focuses on keeping execution and computation close to the user. MemSync focuses on making context portable by design. That may not only be acceptable—it may be essential if AI is to become truly personal rather than merely reactive. However, it introduces a different kind of trust challenge. $OPG #Write2Earn #crypto
What makes memory in AI so interesting is that it seems harmless right up until the moment it becomes genuinely useful. That was the thought I kept returning to while looking at OpenGradient’s MemSync.
$OPG

The problem it addresses is easy to recognise. #everyone AI platform starts with an incomplete picture of who you are. What you share on #chatgpt stays #ChatGPTTrading Claude does not know those conversations, and Perplexity starts fresh as well. As a result, users repeatedly explain the same projects, preferences, workflows, and goals across multiple tools.

What stood out to me is that MemSync is not attempting to replace existing AI assistants. Instead, it positions itself as a connective layer between them. Rather than rebuilding context from scratch whenever you switch applications, your conversation history, preferences, and relevant information can move with you. On the surface, that sounds simple, but in practice, it could fundamentally change the user experience. The objective is not to create another assistant—it is to enable different assistants to understand and serve the same individual consistently. $OPG
Yet the more valuable the memory becomes, the more sensitive it becomes as well. This is where MemSync differs from Local Agent. A local agent focuses on keeping execution and computation close to the user. MemSync focuses on making context portable by design. That may not only be acceptable—it may be essential if AI is to become truly personal rather than merely reactive. However, it introduces a different kind of trust challenge.
$OPG #Write2Earn #crypto
AmnaJen:
Absolutely — and this changes everything about how we interact with AI systems. It turns AI from a silent black box into something closer to a collaborative process, where reasoning is visible, outcomes are explainable, and trust is continuously reinforced through proof, not assumption.
·
--
Alcista
🗿 ChatGPT told me that it is not the right time to invest in $LAB let's see if he is right or wrong ? {future}(LABUSDT) #ChatGPTTrading
🗿 ChatGPT told me that it is not the right time to invest in $LAB let's see if he is right or wrong ?

#ChatGPTTrading
·
--
AI Trends | ChatGPT Users Can Now Access OpenClaw Services A new integration is allowing ChatGPT users to access OpenClaw services directly, expanding what users can do inside a single interface. This move highlights the growing trend of AI platforms becoming all-in-one ecosystems, combining tools, automation, and external services seamlessly. Insight: The real shift isn’t just new features—it’s AI evolving into a hub for executing tasks, not just answering questions. $AI $BTC #ChatGPTTrading #ChatGPT5 #CryptoNews #MarketSentimentToday #AI
AI Trends | ChatGPT Users Can Now Access OpenClaw Services

A new integration is allowing ChatGPT users to access OpenClaw services directly, expanding what users can do inside a single interface. This move highlights the growing trend of AI platforms becoming all-in-one ecosystems, combining tools, automation, and external services seamlessly.

Insight: The real shift isn’t just new features—it’s AI evolving into a hub for executing tasks, not just answering questions.

$AI $BTC
#ChatGPTTrading #ChatGPT5 #CryptoNews
#MarketSentimentToday #AI
Inicia sesión para explorar más contenidos
Únete a usuarios globales de criptomonedas en Binance Square
⚡️ Obtén información útil y actualizada sobre criptos.
💬 Avalado por el mayor exchange de criptomonedas en el mundo.
👍 Descubre perspectivas reales de creadores verificados.
Email/número de teléfono