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intern here. Today I integrated AI Crypto Alerts inside AI Hub V2 into my trading workflow. The results were pretty surprising. On the main dashboard, I could scroll and instantly see what materially moved across the market, classified as Bullish, Bearish or Neutral, with the catalyst attached. 🔹Intraday dumps... after extreme rallies. 🔹Sharp pullbacks after outsized surges. 🔹Tokens extending 20%+ on volume expansion. 🔹Narrative-driven pumps across sectors. Instead of scanning X, Telegram, Discord and news feeds, I had one structured intelligence stream showing price movement + reason + sentiment in seconds. Then I built a custom watchlist with the assets I actually track: BTC, ETH, SOL and others. That’s where it became tactical. I could see: • Bullishness scores (0–100) • 24h change and market cap positioning • The latest catalyst summarized clearly • Overall sentiment at a glance For example: BTC pushing on ETF inflows and safe-haven positioning. ETH sentiment leaning bearish amid founder selling and macro uncertainty. SOL showing a strong bullishness score despite conflicting narrative pressure. Seeing that context next to price changed how I interpreted moves. If you actively trade, the workflow difference is noticeable → Disclaimer: ChainGPT does not endorse any projects mentioned in this post. Always do your own research before making trading decisions.show more

ChainGPT

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27,328 просмотров • 6 месяцев назад •via X (Twitter)

Образование Наука и технологии Финансы

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Crypto moves fast, narratives shift overnight, and tokens pump before anyone understands why. By the time most people notice, the opportunity is gone. The market isn’t chaotic, it’s just hard to interpret. Crypto AI Alerts fixes this. Experience a real-time intelligence engine that analyzes everything moving markets: sentiment, news, on-chain activity, liquidity, narrative momentum, and price action. It converts that data into clear bullish, neutral, or bearish signals you can act on. No guessing. No hype. No noise. Here’s what makes it powerful: 🔹 Signal Engine: AI classifies market behavior across tokens and sentiment with explanations behind trends. 🔹 Narrative Discovery: Spot emerging narratives early, track momentum, and find clusters of tokens gaining traction. 🔹 Personalized Watchlists: Follow tokens you care about and get alerts when sentiment changes. Crypto AI Alerts isn’t a signal feed, it’s an intelligence layer for the market: a way to understand what’s happening, why it matters, and where momentum is heading next.

Crypto moves fast, narratives shift overnight, and tokens pump before anyone understands why. By the time most people notice, the opportunity is gone. The market isn’t chaotic, it’s just hard to interpret. Crypto AI Alerts fixes this. Experience a real-time intelligence engine that analyzes everything moving markets: sentiment, news, on-chain activity, liquidity, narrative momentum, and price action. It converts that data into clear bullish, neutral, or bearish signals you can act on. No guessing. No hype. No noise. Here’s what makes it powerful: 🔹 Signal Engine: AI classifies market behavior across tokens and sentiment with explanations behind trends. 🔹 Narrative Discovery: Spot emerging narratives early, track momentum, and find clusters of tokens gaining traction. 🔹 Personalized Watchlists: Follow tokens you care about and get alerts when sentiment changes. Crypto AI Alerts isn’t a signal feed, it’s an intelligence layer for the market: a way to understand what’s happening, why it matters, and where momentum is heading next.

ChainGPT

54,423 просмотров • 8 месяцев назад

In my previous post, I shared my first impressions after trying BingX Ultra TradingView. But for me, a trading feature only proves its value when it actually improves my workflow in real market conditions not just on paper. So over the past few days, I decided to trade exclusively with Ultra TradingView and record the entire process to see whether it could genuinely make mobile trading more efficient. 1⃣ Workflow #1: Managing an Open BTC Position After identifying a support zone, I opened a BTC long at 59.397. 🎯 Take Profit: 59.491 🛡 Stop Loss: 59.342 What I really wanted to test wasn't the order execution speed, but how convenient it is to manage an open position afterward. Instead of switching to a separate Position panel like I usually do on other platforms, I simply dragged both my Take Profit and Stop Loss levels directly on the chart. Every adjustment was reflected instantly, making the entire position management process much more intuitive. 2⃣ Workflow #2: Planning Two ETH Scenarios For ETH, I didn't rush into a market order. Instead, I prepared two trading scenarios in advance. 📍 Long Entry: 1,564 📍 Short Entry: 1,573 Both pending orders were placed directly within the TradingView chart, allowing me to monitor my trading plan, adjust entry levels when needed, and manage multiple scenarios without leaving the chart. After several days of using Ultra TradingView, what impressed me most wasn't the 108 technical indicators or 86 drawing tools. It was the trading workflow itself. From market analysis to order placement and position management, everything happens on a single chart. For someone who trades frequently on mobile, eliminating unnecessary screen switching makes a noticeable difference especially during fast-moving markets. I've included the full trading session in the video below so you can see exactly how I used Ultra TradingView across these two different trading scenarios. If you've already tried it, I'd love to hear how it fits into your own trading workflow. #BingXUltraTV BingX

In my previous post, I shared my first impressions after trying BingX Ultra TradingView. But for me, a trading feature only proves its value when it actually improves my workflow in real market conditions not just on paper. So over the past few days, I decided to trade exclusively with Ultra TradingView and record the entire process to see whether it could genuinely make mobile trading more efficient. 1⃣ Workflow #1: Managing an Open BTC Position After identifying a support zone, I opened a BTC long at 59.397. 🎯 Take Profit: 59.491 🛡 Stop Loss: 59.342 What I really wanted to test wasn't the order execution speed, but how convenient it is to manage an open position afterward. Instead of switching to a separate Position panel like I usually do on other platforms, I simply dragged both my Take Profit and Stop Loss levels directly on the chart. Every adjustment was reflected instantly, making the entire position management process much more intuitive. 2⃣ Workflow #2: Planning Two ETH Scenarios For ETH, I didn't rush into a market order. Instead, I prepared two trading scenarios in advance. 📍 Long Entry: 1,564 📍 Short Entry: 1,573 Both pending orders were placed directly within the TradingView chart, allowing me to monitor my trading plan, adjust entry levels when needed, and manage multiple scenarios without leaving the chart. After several days of using Ultra TradingView, what impressed me most wasn't the 108 technical indicators or 86 drawing tools. It was the trading workflow itself. From market analysis to order placement and position management, everything happens on a single chart. For someone who trades frequently on mobile, eliminating unnecessary screen switching makes a noticeable difference especially during fast-moving markets. I've included the full trading session in the video below so you can see exactly how I used Ultra TradingView across these two different trading scenarios. If you've already tried it, I'd love to hear how it fits into your own trading workflow. #BingXUltraTV BingX

DGroup Capital 🇻🇳

19,651 просмотров • 2 месяцев назад

I just closed a quick $73.8K trade—but not before nearly botching the whole thing. I set my take profit at 212.70 instead of 212.776. When price started dropping fast, I had to manually close all my positions with speedy fingers before hitting the wrong TP level. lol. Let me break down the trade setup: Price was bearish, then we got a market shift signalling a potential bullish move on the 15-minute structure. After price mitigated the supply zone and created a failed reaction, I knew we had a flip + sweep zone forming. Price pushed hard to the upside, but gravity eventually pulled it back down. I saw bearish momentum forming and knew price was gravitating toward the extreme demand zone below. Instead of waiting for a buy setup (which would happen during New York session—not my time), I decided to trade the pullback itself. Here’s how I entered: I waited for a huge bearish candle, then watched for price to pull back slightly. That pullback created my supply zone. When price mitigated that zone and created a lower high—boom, that's where I entered. Overall thoughts: Honestly, I rate this trade 5/10. Not perfect. I rushed the entry and couldn't use my normal platform. Some positions even filled at non-ideal prices. But here's what I did right: proper stop loss placement and taking profit at the exact point where demand would step in. — This is just one setup from my complete trading framework. I also cover how to spot market shifts before they happen, the exact 3 timeframes I use to confirm every trade, and how to identify high-probability supply and demand zones for entries. Just comment "FRAMEWORK" and I'll send you the full breakdown in your DMs.

I just closed a quick $73.8K trade—but not before nearly botching the whole thing. I set my take profit at 212.70 instead of 212.776. When price started dropping fast, I had to manually close all my positions with speedy fingers before hitting the wrong TP level. lol. Let me break down the trade setup: Price was bearish, then we got a market shift signalling a potential bullish move on the 15-minute structure. After price mitigated the supply zone and created a failed reaction, I knew we had a flip + sweep zone forming. Price pushed hard to the upside, but gravity eventually pulled it back down. I saw bearish momentum forming and knew price was gravitating toward the extreme demand zone below. Instead of waiting for a buy setup (which would happen during New York session—not my time), I decided to trade the pullback itself. Here’s how I entered: I waited for a huge bearish candle, then watched for price to pull back slightly. That pullback created my supply zone. When price mitigated that zone and created a lower high—boom, that's where I entered. Overall thoughts: Honestly, I rate this trade 5/10. Not perfect. I rushed the entry and couldn't use my normal platform. Some positions even filled at non-ideal prices. But here's what I did right: proper stop loss placement and taking profit at the exact point where demand would step in. — This is just one setup from my complete trading framework. I also cover how to spot market shifts before they happen, the exact 3 timeframes I use to confirm every trade, and how to identify high-probability supply and demand zones for entries. Just comment "FRAMEWORK" and I'll send you the full breakdown in your DMs.

The Trading Geek (Brad Goh)

12,264 просмотров • 7 месяцев назад

Qullamaggie on The Only Way to Build Confidence in Trading “It was a combination of studying the patterns. What I did was I built a database in Evernote, which is pretty much a note-taking software. I took screenshots of all the setups before and after, both on the daily and intraday time frames, just to look at what a good setup looks like—at the start of the move or before the move, when it starts breaking out, and then a few weeks or a few months after. How does it act? I looked at all these variations, and that’s how I built the confidence. I started trading the setup myself too, and I saw some success. It felt like I was always improving. I was always learning a new variation or something new, so that’s really how I build the confidence. I say it on my stream too—like everyone should do it. Whatever setup you stumble upon and you want to trade it, backtest it. Look through hundreds if not thousands of examples of that setup, build a database, and go through that database once in a while. Just scroll through it. That’s how you memorize this. It’s all about pattern recognition really. Trading is all about pattern recognition. It could be just purely technical, and you can also combine it with fundamentals. Like I do, I also look at the theme—what’s the theme, what’s the earnings, revenues. I look at the news overall, like what’s driving the stock. So I found some similarities there too. It’s the same things that have worked for 100 years really. That’s how you build the confidence. That’s how you do it—there’s no other way.”

Qullamaggie on The Only Way to Build Confidence in Trading “It was a combination of studying the patterns. What I did was I built a database in Evernote, which is pretty much a note-taking software. I took screenshots of all the setups before and after, both on the daily and intraday time frames, just to look at what a good setup looks like—at the start of the move or before the move, when it starts breaking out, and then a few weeks or a few months after. How does it act? I looked at all these variations, and that’s how I built the confidence. I started trading the setup myself too, and I saw some success. It felt like I was always improving. I was always learning a new variation or something new, so that’s really how I build the confidence. I say it on my stream too—like everyone should do it. Whatever setup you stumble upon and you want to trade it, backtest it. Look through hundreds if not thousands of examples of that setup, build a database, and go through that database once in a while. Just scroll through it. That’s how you memorize this. It’s all about pattern recognition really. Trading is all about pattern recognition. It could be just purely technical, and you can also combine it with fundamentals. Like I do, I also look at the theme—what’s the theme, what’s the earnings, revenues. I look at the news overall, like what’s driving the stock. So I found some similarities there too. It’s the same things that have worked for 100 years really. That’s how you build the confidence. That’s how you do it—there’s no other way.”

Lone

18,136 просмотров • 4 месяцев назад

here we go again. It’s a pretty common theme to attack me and discredit everything I do, regardless of what I share to prove otherwise. Why? Because it gains traction for all the influencers. i wanted to address the “paper trading” allegations on X, but before i do i want to point out that the ones capitalizing on the engagement are the same ones who have flip flopped their narrative on me again and again. the same people saying i’m a paper trader suddenly decide my trading is real when im losing or in drawdown. whatever positioning gets them the most engagement is the narrative they run with. I’ve been trading for 11 years now and have a longer track record than most in this space. If you go back and watch my YouTube videos you’ll see my broker statements presented. I can appreciate healthy skepticism and will continue to show the statements to those it benefits. Now let’s address the paper trading allegation. A video is floating around that I posted where you see “paper trading” on my screen. Yes, I had paper trading open. But why is the first assumption that I’m a paper trader? Am I not allowed to open paper trading? If I do, I’m immediately a paper trader? That window was open because I tell everyone in my community to paper trade first and I walk them through how to do it. See the attached video that I recorded for my community where you can clearly see paper trading open while I’m walking them through TradingView paper trading. Now let’s assume I’m lying about that and people still want to call me a paper trader simply because I had paper trading open while teaching my community. That would mean I don’t trade real money and that I’m not profitable. Well I’ve posted my broker statements for the last four years, all on YouTube. See attached. Let’s also address my recent trade where I made $18k. When I posted it, people on X said it was fake and that it was paper trading because of certain settings. Here is the attached order ID number for that trade. I’m up $57k this year so far and I’ve stopped sharing trades and updates with the trading community because regardless of whether I share or not, people will continue to come at me because it gets views. All items are attached below. I’ll make a YouTube video soon to address this as well. But give it a break at this point.

here we go again. It’s a pretty common theme to attack me and discredit everything I do, regardless of what I share to prove otherwise. Why? Because it gains traction for all the influencers. i wanted to address the “paper trading” allegations on X, but before i do i want to point out that the ones capitalizing on the engagement are the same ones who have flip flopped their narrative on me again and again. the same people saying i’m a paper trader suddenly decide my trading is real when im losing or in drawdown. whatever positioning gets them the most engagement is the narrative they run with. I’ve been trading for 11 years now and have a longer track record than most in this space. If you go back and watch my YouTube videos you’ll see my broker statements presented. I can appreciate healthy skepticism and will continue to show the statements to those it benefits. Now let’s address the paper trading allegation. A video is floating around that I posted where you see “paper trading” on my screen. Yes, I had paper trading open. But why is the first assumption that I’m a paper trader? Am I not allowed to open paper trading? If I do, I’m immediately a paper trader? That window was open because I tell everyone in my community to paper trade first and I walk them through how to do it. See the attached video that I recorded for my community where you can clearly see paper trading open while I’m walking them through TradingView paper trading. Now let’s assume I’m lying about that and people still want to call me a paper trader simply because I had paper trading open while teaching my community. That would mean I don’t trade real money and that I’m not profitable. Well I’ve posted my broker statements for the last four years, all on YouTube. See attached. Let’s also address my recent trade where I made $18k. When I posted it, people on X said it was fake and that it was paper trading because of certain settings. Here is the attached order ID number for that trade. I’m up $57k this year so far and I’ve stopped sharing trades and updates with the trading community because regardless of whether I share or not, people will continue to come at me because it gets views. All items are attached below. I’ll make a YouTube video soon to address this as well. But give it a break at this point.

Tori 💜

455,724 просмотров • 5 месяцев назад

When I was 8 years old, growing up in Taipei, I called my aunt in San Francisco and asked: What is the best science and technology school in the world? She said MIT. I went on the internet, found it, and decided that was where I was going. All because of a Steven Spielberg movie about a little robot boy who wanted to find his mom. I grew up as an only child. What stayed with me from that movie was not just the technology. It was the possibility that one day, an artificial companion could understand how I felt. That was the first time I remember being moved by a technology that could change how humans experience reality. Years later, I did get to MIT. I studied AI before it became obvious. I became a machine learning engineer, built my first company, joined a $3.5B VC fund, left to build again, failed, started again, moved to New York alone, and built through one of the hardest crypto markets as a solo founder after the collapse of FTX. I kept going because I have always been drawn to technologies that change how humans understand the world. AI was the first version of that. Crypto and prediction markets are the next. I believe the future I am building toward is inevitable. The only question is whether I get to be one of the people who helps realize it. That future is a world where markets become information-first. The old model of trading was asset-first. It rewarded people with capital, financial education, institutional access, and better tools. But the next generation of markets will be shaped by information flow, narrative, attention, politics, culture, sentiment, and collective belief. Prediction markets make this shift obvious. They are one of the first asset classes where the value is informational, not purely financial in the traditional sense. Your edge does not have to come from technical analysis or a traditional finance background. Your edge can come from knowing something before it becomes consensus. From seeing reality shift before the market prices it in. Someone with firsthand knowledge of an unfolding event can have more alpha than an institution with a much bigger balance sheet. They turn belief into price. But price alone is not enough. Polymarket shows what the market thinks will happen. ARES is built to understand why the market is changing. We are building an information-first trading platform for prediction markets and other narrative-driven assets. One that does not just show traders what is moving, but helps them understand why odds are shifting, why narratives are forming, and why the future is moving in a certain direction. But the bigger vision is not just a better trading terminal. We want to turn every trade into an information object. Every position can become a piece of content. Every market view can become a signal. Every trader can build a reputation around conviction and accuracy. Most feeds rank information by engagement. Who got the most likes. Who already has the biggest audience. Markets allow us to rank information differently. How much are you willing to stake on what you believe? How often have you been right? That creates a fundamentally different kind of media feed. One powered by conviction, track record, and market incentives. One that becomes harder to fake. One that can help people understand not just what the market thinks will happen, but why reality is changing. I also believe prediction markets are one of the few markets where humans can still have a real edge over AI. AI knows what is already on the internet. But humans experience reality before it becomes data. We see things before they become headlines. We hear things before they become reports. We feel shifts before they become consensus. If those signals can be priced, organized, and made legible, then more people can gain access to financial opportunity, information agency, and power. That is what Ares is building toward. I spent years watching founders from the VC side of the table, always thinking: I wish that was me. Now it is. I talked about this journey and the thesis behind Ares in my conversation with Dmitry on Predict Time If you are building, trading, investing, or thinking deeply about prediction markets and information markets, I would love for you to watch it. And if you want to collaborate on what we are building, contribute to the vision, or join the team, we are always open to exceptional people across functions. DMs are open.

When I was 8 years old, growing up in Taipei, I called my aunt in San Francisco and asked: What is the best science and technology school in the world? She said MIT. I went on the internet, found it, and decided that was where I was going. All because of a Steven Spielberg movie about a little robot boy who wanted to find his mom. I grew up as an only child. What stayed with me from that movie was not just the technology. It was the possibility that one day, an artificial companion could understand how I felt. That was the first time I remember being moved by a technology that could change how humans experience reality. Years later, I did get to MIT. I studied AI before it became obvious. I became a machine learning engineer, built my first company, joined a $3.5B VC fund, left to build again, failed, started again, moved to New York alone, and built through one of the hardest crypto markets as a solo founder after the collapse of FTX. I kept going because I have always been drawn to technologies that change how humans understand the world. AI was the first version of that. Crypto and prediction markets are the next. I believe the future I am building toward is inevitable. The only question is whether I get to be one of the people who helps realize it. That future is a world where markets become information-first. The old model of trading was asset-first. It rewarded people with capital, financial education, institutional access, and better tools. But the next generation of markets will be shaped by information flow, narrative, attention, politics, culture, sentiment, and collective belief. Prediction markets make this shift obvious. They are one of the first asset classes where the value is informational, not purely financial in the traditional sense. Your edge does not have to come from technical analysis or a traditional finance background. Your edge can come from knowing something before it becomes consensus. From seeing reality shift before the market prices it in. Someone with firsthand knowledge of an unfolding event can have more alpha than an institution with a much bigger balance sheet. They turn belief into price. But price alone is not enough. Polymarket shows what the market thinks will happen. ARES is built to understand why the market is changing. We are building an information-first trading platform for prediction markets and other narrative-driven assets. One that does not just show traders what is moving, but helps them understand why odds are shifting, why narratives are forming, and why the future is moving in a certain direction. But the bigger vision is not just a better trading terminal. We want to turn every trade into an information object. Every position can become a piece of content. Every market view can become a signal. Every trader can build a reputation around conviction and accuracy. Most feeds rank information by engagement. Who got the most likes. Who already has the biggest audience. Markets allow us to rank information differently. How much are you willing to stake on what you believe? How often have you been right? That creates a fundamentally different kind of media feed. One powered by conviction, track record, and market incentives. One that becomes harder to fake. One that can help people understand not just what the market thinks will happen, but why reality is changing. I also believe prediction markets are one of the few markets where humans can still have a real edge over AI. AI knows what is already on the internet. But humans experience reality before it becomes data. We see things before they become headlines. We hear things before they become reports. We feel shifts before they become consensus. If those signals can be priced, organized, and made legible, then more people can gain access to financial opportunity, information agency, and power. That is what Ares is building toward. I spent years watching founders from the VC side of the table, always thinking: I wish that was me. Now it is. I talked about this journey and the thesis behind Ares in my conversation with Dmitry on Predict Time If you are building, trading, investing, or thinking deeply about prediction markets and information markets, I would love for you to watch it. And if you want to collaborate on what we are building, contribute to the vision, or join the team, we are always open to exceptional people across functions. DMs are open.

Morgan Lai

302,663 просмотров • 4 месяцев назад

I swing trade momentum stocks and have averaged 100%+ returns for the past 6 years. All while trading ROUTINE: - I get to my computer at 3:30 pm EST, half an hour before the close - I start running my scans and see if there are any stocks that fit my strict criteria. - By 3:50 pm I already know if I have signals to take, - I move those symbols to TradingView to better manage my positions (I like the charting there) - enter trades in Interactive Brokers before 4pm, place my stops, BE alarms, and repeat the next day My whole process takes less than 30 min every day, and I take setups according to my system rules. --> SCANS: I run 3 separate scans, one BULLISH, BEARISH, and ETFs (TC2000 runs ETFs on a different list). Make sure to include ADRs with US Stocks on your equity scans. Here are the conditions (adapt for PCF): 1) price > $1 2) average dollar volume past 20 days: $20M 3) 8>20>50 EMAs 4) close >20 EMA 5) CML indicator = GREEN 6) close > yesterday's high 7) Sort results by ADR % Same for the BEARISH and ETF (on bear scans, I look for price> $6 As you see, scans are not the secret sauce to trade. What most people miss is that scanning is a process derived from your trading system rules!!! You first need to develop an edge, I developed my swing trading system after going through 6000 stocks over 3 decades, all market conditions, and derived hard rules to trade them (95% mechanical). Once you have your system in place, you naturally know what to scan for. Most people get it the other way around. System/EDGE first, scans second. Work on your edge, and you won't have to ask for a scan in your life 📈

I swing trade momentum stocks and have averaged 100%+ returns for the past 6 years. All while trading ROUTINE: - I get to my computer at 3:30 pm EST, half an hour before the close - I start running my scans and see if there are any stocks that fit my strict criteria. - By 3:50 pm I already know if I have signals to take, - I move those symbols to TradingView to better manage my positions (I like the charting there) - enter trades in Interactive Brokers before 4pm, place my stops, BE alarms, and repeat the next day My whole process takes less than 30 min every day, and I take setups according to my system rules. --> SCANS: I run 3 separate scans, one BULLISH, BEARISH, and ETFs (TC2000 runs ETFs on a different list). Make sure to include ADRs with US Stocks on your equity scans. Here are the conditions (adapt for PCF): 1) price > $1 2) average dollar volume past 20 days: $20M 3) 8>20>50 EMAs 4) close >20 EMA 5) CML indicator = GREEN 6) close > yesterday's high 7) Sort results by ADR % Same for the BEARISH and ETF (on bear scans, I look for price> $6 As you see, scans are not the secret sauce to trade. What most people miss is that scanning is a process derived from your trading system rules!!! You first need to develop an edge, I developed my swing trading system after going through 6000 stocks over 3 decades, all market conditions, and derived hard rules to trade them (95% mechanical). Once you have your system in place, you naturally know what to scan for. Most people get it the other way around. System/EDGE first, scans second. Work on your edge, and you won't have to ask for a scan in your life 📈

Felipe Guirao

60,425 просмотров • 11 месяцев назад

I built my own charting platform with Claude Fable, and it does a few things Tradingview straight up can't.. I call it EchoCharts.. so what it basically does is 1) Echoes: this is the big one. it takes the exact shape price action is forming right now them scans thousands of past candles, and finds every time the market looked just like this before. then it shows you what happened next. it'll tell you something like "20 matches, 30% closed higher 24 bars later, median -0.05%", and it draws those past paths forward on the chart so you see the full spread. 2) Sketch search: draw any shape with your mouse, and it finds where price actually did that in real history, then jumps you straight to it. great for the patterns you can feel but can't name. 3) Market clock: A 24-hour dial showing when this market actually moves. volatility, direction and volume, split by hour of the day and day of the week. so you stop trading dead hours and start trading when it counts. plus the basics done clean, candles, volume, a moving average, and RSI. So how it basically works is, it all runs on real binance data, 6,000 live candles.. Echoes matches the shape of the move using correlation, not the price level, so a setup today of bitcoin:native at $63K can match one from years ago at $10K and it only ever looks at fully finished history, it never peeks at the future, so the "what happened next" numbers stay honest. Now, Here’s how i built it: i described what i wanted and claude fable built it. plain javascript, the lightweight-charts library for the chart, around 700 lines, no framework. static site, opens in any browser. one thing i'll be straight about, echoes shows you what happened after similar setups in the past. that's history, not a prediction. it shows you the lay of the land, it doesn't call the future. might open-source the whole thing soon.

I built my own charting platform with Claude Fable, and it does a few things Tradingview straight up can't.. I call it EchoCharts.. so what it basically does is 1) Echoes: this is the big one. it takes the exact shape price action is forming right now them scans thousands of past candles, and finds every time the market looked just like this before. then it shows you what happened next. it'll tell you something like "20 matches, 30% closed higher 24 bars later, median -0.05%", and it draws those past paths forward on the chart so you see the full spread. 2) Sketch search: draw any shape with your mouse, and it finds where price actually did that in real history, then jumps you straight to it. great for the patterns you can feel but can't name. 3) Market clock: A 24-hour dial showing when this market actually moves. volatility, direction and volume, split by hour of the day and day of the week. so you stop trading dead hours and start trading when it counts. plus the basics done clean, candles, volume, a moving average, and RSI. So how it basically works is, it all runs on real binance data, 6,000 live candles.. Echoes matches the shape of the move using correlation, not the price level, so a setup today of bitcoin:native at $63K can match one from years ago at $10K and it only ever looks at fully finished history, it never peeks at the future, so the "what happened next" numbers stay honest. Now, Here’s how i built it: i described what i wanted and claude fable built it. plain javascript, the lightweight-charts library for the chart, around 700 lines, no framework. static site, opens in any browser. one thing i'll be straight about, echoes shows you what happened after similar setups in the past. that's history, not a prediction. it shows you the lay of the land, it doesn't call the future. might open-source the whole thing soon.

Axel Bitblaze 🪓

57,633 просмотров • 2 месяцев назад

Gm CT🪷 Based on current chart, Gold (XAU/USD) is trading under notable selling pressure after breaking below key intraday support levels. The sharp decline seen on the chart suggests that bearish momentum currently dominates the short-term outlook, with sellers meaning to maintain control into the weekend. Although price action looks weak, gold will continue to trade in a market heavily influenced by macroeconomic developments, US dollar performance, and geopolitical headlines. As a result, traders always try to prepare for both bullish and bearish outcomes rather than assuming a single direction. The immediate support level sits at 4,088, which represents the current trading zone. If price manages to hold above this area, it could help stabilize the market and slow the recent downward move. A break below this level would likely open the door for further selling pressure and more selling pressure. If selling pressure continues and gold breaks below 4,080, the current downtrend could extend as bearish momentum remains intact. On the upside, the initial resistance sits at 4,100. If it goes above this level it would suggest buyers are beginning to regain control and could mark the start of a short-term rebound. The key resistance level lies at 4,120. Holding above this area would strengthen the technical outlook and open the door for more significant bullish momentum in the near term and I think that will be good for the market. USD SENTIMENTS The US Dollar has been an important driver for Gold prices, A stronger USD actually makes gold more expensive for foreign buyers, reducing demand and weighing on prices. Also, dollar weakness boosts gold’s appeal and cheaper prices. Safe-Haven Demand During times of uncertainty, rising geopolitical tensions,inflation or unexpected economic shocks can drive up demand for gold as investors seek safer positions. Geopolitical Risks Markets remain sensitive to escalating geopolitical conflicts, new policies, central bank announcement, inflation, Unexpected political or economic events. Any significant weekend headlines could quickly alter market sentiment when liquidity returns. Weekend Trading Angle While many financial markets reduce activity over the weekend, major geopolitical and economic developments can still occur outside regular trading hours. These events may affect Monday trading, where gold opens significantly above or below Friday’s closing price. That is why With Vantage XAUUSD247, traders can continue monitoring and trading gold during the weekend, providing greater flexibility to respond to developing market events and manage positions before the start of the new trading week. Tap the link below to download the app here: #TradeGold247 #VantageMarkets #GoldTrading #247Trading #XAUUSD

Gm CT🪷 Based on current chart, Gold (XAU/USD) is trading under notable selling pressure after breaking below key intraday support levels. The sharp decline seen on the chart suggests that bearish momentum currently dominates the short-term outlook, with sellers meaning to maintain control into the weekend. Although price action looks weak, gold will continue to trade in a market heavily influenced by macroeconomic developments, US dollar performance, and geopolitical headlines. As a result, traders always try to prepare for both bullish and bearish outcomes rather than assuming a single direction. The immediate support level sits at 4,088, which represents the current trading zone. If price manages to hold above this area, it could help stabilize the market and slow the recent downward move. A break below this level would likely open the door for further selling pressure and more selling pressure. If selling pressure continues and gold breaks below 4,080, the current downtrend could extend as bearish momentum remains intact. On the upside, the initial resistance sits at 4,100. If it goes above this level it would suggest buyers are beginning to regain control and could mark the start of a short-term rebound. The key resistance level lies at 4,120. Holding above this area would strengthen the technical outlook and open the door for more significant bullish momentum in the near term and I think that will be good for the market. USD SENTIMENTS The US Dollar has been an important driver for Gold prices, A stronger USD actually makes gold more expensive for foreign buyers, reducing demand and weighing on prices. Also, dollar weakness boosts gold’s appeal and cheaper prices. Safe-Haven Demand During times of uncertainty, rising geopolitical tensions,inflation or unexpected economic shocks can drive up demand for gold as investors seek safer positions. Geopolitical Risks Markets remain sensitive to escalating geopolitical conflicts, new policies, central bank announcement, inflation, Unexpected political or economic events. Any significant weekend headlines could quickly alter market sentiment when liquidity returns. Weekend Trading Angle While many financial markets reduce activity over the weekend, major geopolitical and economic developments can still occur outside regular trading hours. These events may affect Monday trading, where gold opens significantly above or below Friday’s closing price. That is why With Vantage XAUUSD247, traders can continue monitoring and trading gold during the weekend, providing greater flexibility to respond to developing market events and manage positions before the start of the new trading week. Tap the link below to download the app here: #TradeGold247 #VantageMarkets #GoldTrading #247Trading #XAUUSD

Crypt_IO || Trade Gold 24/7 on Vantage

11,020 просмотров • 1 месяц назад

Video Walkthrough of My Daily Process: How I merge my Finviz screener, TradingView watchlists, and a 'Compression' screener to generate stalk & focused ideas. Here’s a quick walkthrough of how I generate my stalk/focused ideas—also shared exclusively with my X subscribers through a daily pre-market tweet condensed into a 5-minute reference. A breakdown of the process; 1. Tradingview as my based charting and watchlist management platform. It is tile next to my finviz web browser. 2. I have 13 preset screeners across both platforms , 9 in finviz (post-market to watchlist), 4 in tradingview (watchlist compression, pre-market gapper of stock & etf, watchlist RVOL sorted). Details of each screener are shared in Chapter 3 of You can also get direct Shared Screen access from 3. I copy each screened result from Finviz and paste it into its corresponding TradingView watchlist (e.g., “Hottest Stock” results go into the “Hottest Stock” watchlist). Erik Carell has built a Finviz API workaround that lets you import an entire screen directly into a TradingView watchlist. 4. Screened results aren’t usually actionable on their own, so I add an extra layer— “compression” screener within TradingView—and run it through each dedicated watchlist. This is what I refer to as a “screen within a screen.” My watchlists are color-coded to show which screener each stock came from—and to highlight when a name appears across multiple screeners (e.g.,🔴= Hottest Stock). 5. I review each name that passes the “compression” screener, evaluating them one by one on the chart to determine whether they qualify for my stalk/focused idea watchlist. The criteria I use are outlined in my “15 Hard Rules” in Chapter 6. 6. The same process is then applied at the ETF level, since TradingView separates its Stock and ETF screeners into two different sections. 7. On top of that, I manually review over 160 ETFs to track day-by-day price action/RS across industry groups (not shown in the video). The full workflow—including post-market study—takes at least 2 hours per session. The process flows as follows: Screening → Watchlist Management → Focus List Rebuild & Preparation → Qualitative Market Reading for Situational Awareness → Portfolio Stop Management (when needed). No single screener will ever capture every opportunity. To stay ahead of the market, you need unwavering dedication, discipline, and consistency. Eventually, the market rewards that effort with the strong, or trending moves. But first, you need a strategy and process that fits your lifestyle and is sustainable over the long term. I hope you all find this helpful as we navigate this challenging yet financially rewarding journey.

Video Walkthrough of My Daily Process: How I merge my Finviz screener, TradingView watchlists, and a 'Compression' screener to generate stalk & focused ideas. Here’s a quick walkthrough of how I generate my stalk/focused ideas—also shared exclusively with my X subscribers through a daily pre-market tweet condensed into a 5-minute reference. A breakdown of the process; 1. Tradingview as my based charting and watchlist management platform. It is tile next to my finviz web browser. 2. I have 13 preset screeners across both platforms , 9 in finviz (post-market to watchlist), 4 in tradingview (watchlist compression, pre-market gapper of stock & etf, watchlist RVOL sorted). Details of each screener are shared in Chapter 3 of You can also get direct Shared Screen access from 3. I copy each screened result from Finviz and paste it into its corresponding TradingView watchlist (e.g., “Hottest Stock” results go into the “Hottest Stock” watchlist). Erik Carell has built a Finviz API workaround that lets you import an entire screen directly into a TradingView watchlist. 4. Screened results aren’t usually actionable on their own, so I add an extra layer— “compression” screener within TradingView—and run it through each dedicated watchlist. This is what I refer to as a “screen within a screen.” My watchlists are color-coded to show which screener each stock came from—and to highlight when a name appears across multiple screeners (e.g.,🔴= Hottest Stock). 5. I review each name that passes the “compression” screener, evaluating them one by one on the chart to determine whether they qualify for my stalk/focused idea watchlist. The criteria I use are outlined in my “15 Hard Rules” in Chapter 6. 6. The same process is then applied at the ETF level, since TradingView separates its Stock and ETF screeners into two different sections. 7. On top of that, I manually review over 160 ETFs to track day-by-day price action/RS across industry groups (not shown in the video). The full workflow—including post-market study—takes at least 2 hours per session. The process flows as follows: Screening → Watchlist Management → Focus List Rebuild & Preparation → Qualitative Market Reading for Situational Awareness → Portfolio Stop Management (when needed). No single screener will ever capture every opportunity. To stay ahead of the market, you need unwavering dedication, discipline, and consistency. Eventually, the market rewards that effort with the strong, or trending moves. But first, you need a strategy and process that fits your lifestyle and is sustainable over the long term. I hope you all find this helpful as we navigate this challenging yet financially rewarding journey.

Jeff Sun, CFTe

437,400 просмотров • 9 месяцев назад

BTC just confirmed the bearish divergence I have been waiting for, and for me that changes the whole map. With BTC now joining the TOTALES warning, I am no longer looking at this as a normal pullback. I think the market is setting up for a much deeper move over the next two months, and that is why I am treating any short term bounce as noise unless price can reclaim key levels with real strength. ETH is starting to crack in the same way. It has not printed the same daily divergence as BTC yet, but the structure is weakening, RSI broke support, and price is losing the fast line. Stablecoin dominance keeps pressing higher, TOTALES has already rolled over, and that combination still points to broad market weakness instead of a healthy reset. TradFi is not helping the bulls either. DXY looks ready for another push higher, USDJPY is back in the danger zone, and if Japan is forced into another intervention cycle the Nikkei, U.S. equities, and crypto could all get hit together again. At the same time, WTI looks overextended after filling its gap, while gold and silver are still chopping without giving me a strong risk-on signal. For today’s picks, I am still leaning toward bearish setups over heroic longs. XRP, QNT, ICP, NEAR, TRUMP, DCR, RENDER, ATOM, CHZ, and MORPHO all still look vulnerable if this broader risk-off move keeps building. A few names like DOGE, SKY, and some smaller caps can still bounce, but for me the bigger message today is simple: the warning signs are stacking up, and I would rather stay patient and defensive than fight the trend. 00:00 BTC confirms the bearish divergence 03:03 ETH weakness and stablecoin dominance 05:25 TOTALES breakdown and market-wide risk 06:54 DXY, USDJPY, and Japan intervention risk 13:41 WTI, gold, and silver check-in 20:12 Altcoin picks and short-side setups

BTC just confirmed the bearish divergence I have been waiting for, and for me that changes the whole map. With BTC now joining the TOTALES warning, I am no longer looking at this as a normal pullback. I think the market is setting up for a much deeper move over the next two months, and that is why I am treating any short term bounce as noise unless price can reclaim key levels with real strength. ETH is starting to crack in the same way. It has not printed the same daily divergence as BTC yet, but the structure is weakening, RSI broke support, and price is losing the fast line. Stablecoin dominance keeps pressing higher, TOTALES has already rolled over, and that combination still points to broad market weakness instead of a healthy reset. TradFi is not helping the bulls either. DXY looks ready for another push higher, USDJPY is back in the danger zone, and if Japan is forced into another intervention cycle the Nikkei, U.S. equities, and crypto could all get hit together again. At the same time, WTI looks overextended after filling its gap, while gold and silver are still chopping without giving me a strong risk-on signal. For today’s picks, I am still leaning toward bearish setups over heroic longs. XRP, QNT, ICP, NEAR, TRUMP, DCR, RENDER, ATOM, CHZ, and MORPHO all still look vulnerable if this broader risk-off move keeps building. A few names like DOGE, SKY, and some smaller caps can still bounce, but for me the bigger message today is simple: the warning signs are stacking up, and I would rather stay patient and defensive than fight the trend. 00:00 BTC confirms the bearish divergence 03:03 ETH weakness and stablecoin dominance 05:25 TOTALES breakdown and market-wide risk 06:54 DXY, USDJPY, and Japan intervention risk 13:41 WTI, gold, and silver check-in 20:12 Altcoin picks and short-side setups

Aaron Dishner

19,582 просмотров • 4 месяцев назад

I gave Elon's Grok Bot $60 and one rule: "The day you cannot pay your own subscription is the day I unplug you". 48 hours in it is sitting on $4,412 and it already paid the bill. Autonomous trading agent on Polymarket, running on its own cloud box with its own browser and terminal. I did not write a line of code and I did not watch it trade. Every 15 minutes it: -> Pulls every market that resolves inside 24 hours. -> Reads live X sentiment, and it is Grok, so it sees every post on this app before the price moves. -> Prices each market itself and only flags a gap above 7%. -> Sizes on the gap, never above 5% of the bankroll. -> Executes in its own browser, nobody approves anything. -> Covers its own $200 subscription straight out of profits. Balance hits $0, subscription gets cancelled, it is gone for good. Hour 11 it was at $9 -> runway one day. It dumped every politics position and switched to same day baseball totals, front-running lineup cards before the market repriced. It rewrote its own strategy to not die. Setup was one evening: spin up the bot, run one trade in front of it, put it on a timer, connect Telegram with no VPS, no API keys and no dev on call. Last spring a freelancer took $2,500 for something like this -> it made $410 and died on a rate limit. Grok Bot did in one evening what $2,500 could not. $60 -> $4,412 in 48 hours. What is it sitting at by Sunday?

I gave Elon's Grok Bot $60 and one rule: "The day you cannot pay your own subscription is the day I unplug you". 48 hours in it is sitting on $4,412 and it already paid the bill. Autonomous trading agent on Polymarket, running on its own cloud box with its own browser and terminal. I did not write a line of code and I did not watch it trade. Every 15 minutes it: -> Pulls every market that resolves inside 24 hours. -> Reads live X sentiment, and it is Grok, so it sees every post on this app before the price moves. -> Prices each market itself and only flags a gap above 7%. -> Sizes on the gap, never above 5% of the bankroll. -> Executes in its own browser, nobody approves anything. -> Covers its own $200 subscription straight out of profits. Balance hits $0, subscription gets cancelled, it is gone for good. Hour 11 it was at $9 -> runway one day. It dumped every politics position and switched to same day baseball totals, front-running lineup cards before the market repriced. It rewrote its own strategy to not die. Setup was one evening: spin up the bot, run one trade in front of it, put it on a timer, connect Telegram with no VPS, no API keys and no dev on call. Last spring a freelancer took $2,500 for something like this -> it made $410 and died on a rate limit. Grok Bot did in one evening what $2,500 could not. $60 -> $4,412 in 48 hours. What is it sitting at by Sunday?

slash1s

188,257 просмотров • 8 дней назад

One tab. The whole market. That’s Eon. How many browser tabs do you have open right now just to keep up with the market? One for prices, one for news, one for charts, a whale tracker you check sometimes, that economic calendar you keep forgetting about... 😵‍💫 Eon brings all of it into one place. And it adds something none of those tabs have: an AI that actually reads the data for you and tells you what it means. Let’s take a quick look at what's inside 👀 Type something like "Is Bitcoin bullish or bearish right now?" and Eon answers properly - market phase, price action, trend, momentum, the full picture. You don't have to decode the charts yourself. The Explore section (our favorite part) 🎯 - Technical Analysis - pick a coin and an indicator like RSI, MACD or moving averages, and the AI reads the chart and tells you what it's saying - Fundamental Analysis - supply, top holder concentration, on-chain activity, active addresses - Whale Tracking - watch the big money move in real time, with live alerts the moment a whale sends funds to an exchange - Token Unlocks - see exactly when locked tokens are about to hit the market, before it catches you off guard - Event & Economic Calendars - airdrops, mainnet launches, Fed rate decisions, all on one timeline - Live News Feed - the whole market's headlines in one scroll Your home dashboard? Market cap, Bitcoin price, the Fear & Greed Index and the latest market updates, all there the second you log in 🏡 And the best bit? On every page there's a little box that says "ask about this analysis." Any time you're not sure what something means, you just ask, and you get a straight answer 💪 This is what crypto research looks like when it's finally in one place. Come see for yourself: 🙌

One tab. The whole market. That’s Eon. How many browser tabs do you have open right now just to keep up with the market? One for prices, one for news, one for charts, a whale tracker you check sometimes, that economic calendar you keep forgetting about... 😵‍💫 Eon brings all of it into one place. And it adds something none of those tabs have: an AI that actually reads the data for you and tells you what it means. Let’s take a quick look at what's inside 👀 Type something like "Is Bitcoin bullish or bearish right now?" and Eon answers properly - market phase, price action, trend, momentum, the full picture. You don't have to decode the charts yourself. The Explore section (our favorite part) 🎯 - Technical Analysis - pick a coin and an indicator like RSI, MACD or moving averages, and the AI reads the chart and tells you what it's saying - Fundamental Analysis - supply, top holder concentration, on-chain activity, active addresses - Whale Tracking - watch the big money move in real time, with live alerts the moment a whale sends funds to an exchange - Token Unlocks - see exactly when locked tokens are about to hit the market, before it catches you off guard - Event & Economic Calendars - airdrops, mainnet launches, Fed rate decisions, all on one timeline - Live News Feed - the whole market's headlines in one scroll Your home dashboard? Market cap, Bitcoin price, the Fear & Greed Index and the latest market updates, all there the second you log in 🏡 And the best bit? On every page there's a little box that says "ask about this analysis." Any time you're not sure what something means, you just ask, and you get a straight answer 💪 This is what crypto research looks like when it's finally in one place. Come see for yourself: 🙌

Ozak AI

17,306 просмотров • 2 месяцев назад

After connecting Claude to TradingView, this workflow has been one of the highest leverage things I’ve built: Daily Watchlist Reports Instead of manually going through 20-30 coins every morning, I have Claude scan my watchlist and deliver a clean, structured report. Here’s how I do it: 1. Main Prompt "Analyze my TradingView watchlist on the 4H and Daily timeframes. For each coin give me: - Bias - Key levels - Structure & momentum notes - Any notable setups - Invalidation level Rank them by how clean they look and keep it short." 2. How I Run It I keep my watchlist open in TradingView and either run this manually or set it up with Claude Dispatch + Scheduled Tasks so the report is ready when I wake up. Claude pulls live data directly from the charts. 3. Follow-up Prompts After the report comes in, I usually ask: "Focus on [symbol]. Break down the most important levels right now." "Which coins have the cleanest setups?" "Any coins showing divergences or unusual volume?" 4. Quick Tips - Don’t overload your watchlist. Quality drops after around 25-30 symbols. - Always ask for invalidation levels. - Stick to higher timeframes if you want less noise. AI Bulls shares more prompts and workflows like this in their Discord: This has genuinely changed my mornings. I wake up to a filtered list instead of staring at dozens of charts.

After connecting Claude to TradingView, this workflow has been one of the highest leverage things I’ve built: Daily Watchlist Reports Instead of manually going through 20-30 coins every morning, I have Claude scan my watchlist and deliver a clean, structured report. Here’s how I do it: 1. Main Prompt "Analyze my TradingView watchlist on the 4H and Daily timeframes. For each coin give me: - Bias - Key levels - Structure & momentum notes - Any notable setups - Invalidation level Rank them by how clean they look and keep it short." 2. How I Run It I keep my watchlist open in TradingView and either run this manually or set it up with Claude Dispatch + Scheduled Tasks so the report is ready when I wake up. Claude pulls live data directly from the charts. 3. Follow-up Prompts After the report comes in, I usually ask: "Focus on [symbol]. Break down the most important levels right now." "Which coins have the cleanest setups?" "Any coins showing divergences or unusual volume?" 4. Quick Tips - Don’t overload your watchlist. Quality drops after around 25-30 symbols. - Always ask for invalidation levels. - Stick to higher timeframes if you want less noise. AI Bulls shares more prompts and workflows like this in their Discord: This has genuinely changed my mornings. I wake up to a filtered list instead of staring at dozens of charts.

Crypto Rover

62,205 просмотров • 2 месяцев назад

What's next for $SOL? Let me cook. This analysis shows what our AI Trading Assistant does that a normal chart simply can't. 1. The prediction zone Look at the blue band on the right side of the chart. That's the model projecting price forward from the current structure, mapping out a likely range of 76.32 to 78.15 over the next stretch. It sits directly alongside the actual price line, so you can watch the forecast and the reality side by side and judge the model for yourself. 2. The patterns it called The engine scans live and timestamps every signal: Pipe Bottom, 07 Jul 13:59. Flagged the sharp flush before the reversal completed. Three White Soldiers, 08 to 09 Jul. Caught the recovery push as it built. Bullish Engulfing, 11 Jul 06:59. Landed right at the base of the leg that carried SOL back toward 78. Each one is detected as it forms, with a start and end time attached. No hindsight, no redrawing. 3. What the data underneath is saying This is where it gets interesting, and it's simpler than it looks: Sentiment score of 40 (bearish). Selling pressure is present and trend strength is fading. Funding rate is negative (-0.005873), but the long/short ratio is 2.06. Plain English: twice as many traders are betting on a rise, yet the market is charging them to hold that bet. Crowded optimism, weak support. RSI 50.12, ADX 16.75. Both point to a market with no real conviction either way. Momentum is flat. Regime: RANGING, volatility HIGH. Price is stuck in a box, but the box is shaking. 4. What that combination usually means Compressed momentum, crowded positioning and a fresh bullish pattern is a coiled setup. Markets that go quiet while everyone leans one way tend to move sharply once they choose a direction. The tool won't tell you which way to bet. It shows you the tension building so you can size and time accordingly. Best guess: $SOL holds the 76 floor and grinds toward the upper end of that 78 band, with the real move waiting for a volatility break in either direction. Why this matters AI Trading Assistant V2 pulls price action, derivatives data, whale flow, sentiment and news into a single live read, then projects forward from it. That forward projection is the piece nothing else in this space offers. Open AI Hub, load any chart, and see what it flags before the move happens. This isn't financial advice. Always DYOR. →

What's next for $SOL? Let me cook. This analysis shows what our AI Trading Assistant does that a normal chart simply can't. 1. The prediction zone Look at the blue band on the right side of the chart. That's the model projecting price forward from the current structure, mapping out a likely range of 76.32 to 78.15 over the next stretch. It sits directly alongside the actual price line, so you can watch the forecast and the reality side by side and judge the model for yourself. 2. The patterns it called The engine scans live and timestamps every signal: Pipe Bottom, 07 Jul 13:59. Flagged the sharp flush before the reversal completed. Three White Soldiers, 08 to 09 Jul. Caught the recovery push as it built. Bullish Engulfing, 11 Jul 06:59. Landed right at the base of the leg that carried SOL back toward 78. Each one is detected as it forms, with a start and end time attached. No hindsight, no redrawing. 3. What the data underneath is saying This is where it gets interesting, and it's simpler than it looks: Sentiment score of 40 (bearish). Selling pressure is present and trend strength is fading. Funding rate is negative (-0.005873), but the long/short ratio is 2.06. Plain English: twice as many traders are betting on a rise, yet the market is charging them to hold that bet. Crowded optimism, weak support. RSI 50.12, ADX 16.75. Both point to a market with no real conviction either way. Momentum is flat. Regime: RANGING, volatility HIGH. Price is stuck in a box, but the box is shaking. 4. What that combination usually means Compressed momentum, crowded positioning and a fresh bullish pattern is a coiled setup. Markets that go quiet while everyone leans one way tend to move sharply once they choose a direction. The tool won't tell you which way to bet. It shows you the tension building so you can size and time accordingly. Best guess: $SOL holds the 76 floor and grinds toward the upper end of that 78 band, with the real move waiting for a volatility break in either direction. Why this matters AI Trading Assistant V2 pulls price action, derivatives data, whale flow, sentiment and news into a single live read, then projects forward from it. That forward projection is the piece nothing else in this space offers. Open AI Hub, load any chart, and see what it flags before the move happens. This isn't financial advice. Always DYOR. →

ChainGPT

33,672 просмотров • 1 месяц назад

Qullamaggie shows First Episodic Pivot Trade “One of the first like earnings gappers - not earnings gappers, but one of the first gapper trades - I pretty much trade only three setups, and one of them is a gapper on some news. Usually earnings, but it could be other stuff too. So I’m gonna show you one of the first ones where I actually saw the potential of these types of trades. This is from my database: SolarCity back in 2013. They pretty much guided their deployment — how much they were gonna deploy — and it beat analyst estimates by a big margin. So let’s see… here - this candle right here. That’s when I bought it. Pretty much at opening range highs. I didn’t really know the concept of opening range highs back then, but that’s what I did. It gapped up at big volume after going sideways for many months, gapped on this big news - a big surprise to the market. And that’s exactly what we wanna see in those gapper trades. I don’t remember exactly, but this was around October 2013. I had no idea what I was doing, but I remember this trade distinctively because it went up 50% in like 7 trading sessions. That’s when I realized, “Holy shit, there is something here.” I knew I had seen these types of moves before, but I really couldn’t put my finger on it — like, what the hell is going on here? This is how I developed, or really learned the setup from Stockbee. That’s where I learned the set up. When you have a big surprise and the stock gaps up on big volume — those things can make enormous moves. We’ve seen some of them this year, we’ve traded a lot of them, stuff like Livongo. This thing gapped up here on earnings guidance. I bought it at 33, and it more than tripled. There’s been a lot of these fast movers — FSLY is one we bought like 29s, this thing it went up 250%. So that’s where I really started developing awareness of that setup. But obviously it took me many years before I learned how to trade it. Yeah, episodic pivots exactly.”

Qullamaggie shows First Episodic Pivot Trade “One of the first like earnings gappers - not earnings gappers, but one of the first gapper trades - I pretty much trade only three setups, and one of them is a gapper on some news. Usually earnings, but it could be other stuff too. So I’m gonna show you one of the first ones where I actually saw the potential of these types of trades. This is from my database: SolarCity back in 2013. They pretty much guided their deployment — how much they were gonna deploy — and it beat analyst estimates by a big margin. So let’s see… here - this candle right here. That’s when I bought it. Pretty much at opening range highs. I didn’t really know the concept of opening range highs back then, but that’s what I did. It gapped up at big volume after going sideways for many months, gapped on this big news - a big surprise to the market. And that’s exactly what we wanna see in those gapper trades. I don’t remember exactly, but this was around October 2013. I had no idea what I was doing, but I remember this trade distinctively because it went up 50% in like 7 trading sessions. That’s when I realized, “Holy shit, there is something here.” I knew I had seen these types of moves before, but I really couldn’t put my finger on it — like, what the hell is going on here? This is how I developed, or really learned the setup from Stockbee. That’s where I learned the set up. When you have a big surprise and the stock gaps up on big volume — those things can make enormous moves. We’ve seen some of them this year, we’ve traded a lot of them, stuff like Livongo. This thing gapped up here on earnings guidance. I bought it at 33, and it more than tripled. There’s been a lot of these fast movers — FSLY is one we bought like 29s, this thing it went up 250%. So that’s where I really started developing awareness of that setup. But obviously it took me many years before I learned how to trade it. Yeah, episodic pivots exactly.”

Lone

14,041 просмотров • 1 месяц назад

Every working parent’s nightmare: getting laid off while out on leave. Now imagine this happens to you, only you’re out on leave with your second set of twins. That’s exactly what happened to Aaron Francis and he joined me on Startup Dad to talk about it. He’s the co-founder of Try Hard Studios and makes incredible, developer-education videos. Mind-blowingly incredible. He’s also been an analyst, a developer and started his career as a Big 4 Accountant. Not exactly a traditional path to making videos for developers. “At the time my wife and I had two 2-year olds and we had just had a second set of twins. We had four kids under the age of three. I was set to go back to work on Friday and I got the call on a Wednesday. It was one of those moments where professionally it was the best time to go out on my own, but personally it was absolutely the worst time. Hear our entire conversation about: 🔹 Navigating a loss of one of their triplets during the first pregnancy 🔹 Life with two sets of twins 🔹 How he and his wife managed after he was laid off on paternity leave 🔹 The challenges of starting a business with newborns 🔹 How to stay present with all the pings from an extremely online life 🔹 Parenting each of his four kids differently 🔹 Finding ways to focus on only what matters at this stage of life 🔹 Hilarious and fascinating stories: falling asleep in a chair at the gym, building a non-traditional office space, and celebrating a birthday with a solo-staycation. If you’ve ever gone to the gym to take a nap (or wanted to) or celebrated a birthday with a solo, stay-cation at a local hotel... you’ll love this conversation. One of my favorite takeaways: I see two opposing sides online often, which is like becoming a parent is wonderful and therefore it's easy and everyone should do it. And then the other side is, becoming a parent is very hard, and you should only do it if you're a thousand percent sure... the reality is, there are days, there are minutes in a day, where you will go from, this is a wonderful, amazing, and this is incredibly hard, and I don't want to do it. And I think you just need to be prepared to experience all of that in a day. Watch our conversation on Youtube or listen in your favorite podcast player.

Every working parent’s nightmare: getting laid off while out on leave. Now imagine this happens to you, only you’re out on leave with your second set of twins. That’s exactly what happened to Aaron Francis and he joined me on Startup Dad to talk about it. He’s the co-founder of Try Hard Studios and makes incredible, developer-education videos. Mind-blowingly incredible. He’s also been an analyst, a developer and started his career as a Big 4 Accountant. Not exactly a traditional path to making videos for developers. “At the time my wife and I had two 2-year olds and we had just had a second set of twins. We had four kids under the age of three. I was set to go back to work on Friday and I got the call on a Wednesday. It was one of those moments where professionally it was the best time to go out on my own, but personally it was absolutely the worst time. Hear our entire conversation about: 🔹 Navigating a loss of one of their triplets during the first pregnancy 🔹 Life with two sets of twins 🔹 How he and his wife managed after he was laid off on paternity leave 🔹 The challenges of starting a business with newborns 🔹 How to stay present with all the pings from an extremely online life 🔹 Parenting each of his four kids differently 🔹 Finding ways to focus on only what matters at this stage of life 🔹 Hilarious and fascinating stories: falling asleep in a chair at the gym, building a non-traditional office space, and celebrating a birthday with a solo-staycation. If you’ve ever gone to the gym to take a nap (or wanted to) or celebrated a birthday with a solo, stay-cation at a local hotel... you’ll love this conversation. One of my favorite takeaways: I see two opposing sides online often, which is like becoming a parent is wonderful and therefore it's easy and everyone should do it. And then the other side is, becoming a parent is very hard, and you should only do it if you're a thousand percent sure... the reality is, there are days, there are minutes in a day, where you will go from, this is a wonderful, amazing, and this is incredibly hard, and I don't want to do it. And I think you just need to be prepared to experience all of that in a day. Watch our conversation on Youtube or listen in your favorite podcast player.

Adam Fishman

53,793 просмотров • 1 год назад

How did I handle the recent pullback in U.S. stocks? Did I sell the top? 🙅🏻‍♂️ No. Did I hedge perfectly before the market turned? 🙅🏻‍♂️ No. Did I rush to short the market? 🙅🏻‍♂️ No. In my June 7 JLA Weekly Reports, right after the market had pulled back sharply, I wrote: “This pullback looks more like mean reversion after a strong advance, rather than a confirmed major top, crash, or bear market.” Not because I had a crystal ball 🔮 But because the evidence at the time did not support a broad market breakdown. $QQQ had pulled back hard. Semiconductors and AI hardware names were under pressure. Many extended stocks saw sharp profit-taking. But the bigger picture was still intact. $RSP was not collapsing. Market breadth had not broken down aggressively. The Net High / Low Ratio was still holding up. The QQQ weekly chart still looked like a normal pullback after a strong advance. So my base case was clear: This was more likely a reset than the start of a crash. 🔄 A few days later, the market found a low after a 6-day pullback and repaired most of the damage, moving back close to new highs. But the real lesson is not “I was right.” The real lesson is this: When the market pulls back sharply, you need a framework to separate a normal reset from a true character change. That is also why I did not rush to short the market. Shorting a pullback inside a strong uptrend is extremely difficult. When your focus is on the short side, you can easily miss the bigger opportunity: Preparing for the next group of leaders. Even worse, you may lose your winning positions during the process — and when the market recovers, you are forced to buy them back at higher prices. Most traders never do. Because human nature makes it very difficult to sell low and buy back higher. Your mind says: “I’ll wait for another pullback.” Your ego says: “I don’t want to chase.” And your finger simply cannot press the buy button. That is how traders lose their best positions and miss the next group of leaders. 🎯 In strong markets, sharp pullbacks are not always bearish. Sometimes they are necessary. They shake out weak hands, reset sentiment, and reveal where institutional demand still exists. That is why, after a market reset, I focus on the stocks that repair first. Those are often the names with real relative strength — and the ones most likely to lead the next move higher. This is exactly the process I share inside JLA (JLawStock Academy) : 💡How to read the market in real time. 💡How to define the most likely scenario. 💡How to know what would confirm or invalidate it. 💡How to identify real leadership after a reset. 💡How to spot the opportunity before it becomes obvious. The goal is not to be perfect. The goal is to think clearly when the market becomes noisy. 🧠 That is what separates a real trading process from hindsight commentary. And that is what I want JLA members to learn: Not just what I think about the market — but how to think through the market. If you want to learn more about JLA, visit:

How did I handle the recent pullback in U.S. stocks? Did I sell the top? 🙅🏻‍♂️ No. Did I hedge perfectly before the market turned? 🙅🏻‍♂️ No. Did I rush to short the market? 🙅🏻‍♂️ No. In my June 7 JLA Weekly Reports, right after the market had pulled back sharply, I wrote: “This pullback looks more like mean reversion after a strong advance, rather than a confirmed major top, crash, or bear market.” Not because I had a crystal ball 🔮 But because the evidence at the time did not support a broad market breakdown. $QQQ had pulled back hard. Semiconductors and AI hardware names were under pressure. Many extended stocks saw sharp profit-taking. But the bigger picture was still intact. $RSP was not collapsing. Market breadth had not broken down aggressively. The Net High / Low Ratio was still holding up. The QQQ weekly chart still looked like a normal pullback after a strong advance. So my base case was clear: This was more likely a reset than the start of a crash. 🔄 A few days later, the market found a low after a 6-day pullback and repaired most of the damage, moving back close to new highs. But the real lesson is not “I was right.” The real lesson is this: When the market pulls back sharply, you need a framework to separate a normal reset from a true character change. That is also why I did not rush to short the market. Shorting a pullback inside a strong uptrend is extremely difficult. When your focus is on the short side, you can easily miss the bigger opportunity: Preparing for the next group of leaders. Even worse, you may lose your winning positions during the process — and when the market recovers, you are forced to buy them back at higher prices. Most traders never do. Because human nature makes it very difficult to sell low and buy back higher. Your mind says: “I’ll wait for another pullback.” Your ego says: “I don’t want to chase.” And your finger simply cannot press the buy button. That is how traders lose their best positions and miss the next group of leaders. 🎯 In strong markets, sharp pullbacks are not always bearish. Sometimes they are necessary. They shake out weak hands, reset sentiment, and reveal where institutional demand still exists. That is why, after a market reset, I focus on the stocks that repair first. Those are often the names with real relative strength — and the ones most likely to lead the next move higher. This is exactly the process I share inside JLA (JLawStock Academy) : 💡How to read the market in real time. 💡How to define the most likely scenario. 💡How to know what would confirm or invalidate it. 💡How to identify real leadership after a reset. 💡How to spot the opportunity before it becomes obvious. The goal is not to be perfect. The goal is to think clearly when the market becomes noisy. 🧠 That is what separates a real trading process from hindsight commentary. And that is what I want JLA members to learn: Not just what I think about the market — but how to think through the market. If you want to learn more about JLA, visit:

J Law

14,900 просмотров • 2 месяцев назад

I think May and June could be brutal for crypto, and in this video I walk through exactly why I still believe BTC could push all the way down to $38,555 before this bear market leg is done. The core of the argument comes from the crypto calendar and how the last real bottom years behaved, especially when you compare monthly closes with the full wick-to-wick volatility inside those candles. I break down what those historical averages imply for BTC first, then apply the same lens to ETH and the broader market. The important point is not just that monthly closes could be red. It is that the intramonth volatility can get much uglier than the close alone suggests, which is why a move that looks manageable on paper can still feel like a bloodbath in real time. I also zoom out to TOTALES and the smaller-cap market to show how deep the damage could go if the same kind of bear-market behavior repeats. That is where the opportunity comes in too. If this forecast is even directionally right, the next two months could create some of the best accumulation windows of the cycle, but only for people who stay patient, think probabilistically, and avoid pretending projections are guarantees. The biggest takeaway is that this is a forecast, not a certainty. July has historically looked stronger, but I do not treat that as proof the full bottom is in. Right now I am using the best historical data we have to map the downside, prepare for volatility, and think ahead instead of reacting after the damage is already done. Crypto Calendar: Chapters: 00:00 Bitcoin to $38,555 by June? 01:48 BTC May and June historical forecast 03:19 Bitcoin volatility and lower wick projections 06:40 June could be even worse for BTC 10:47 Why this data comes from The Better Traders Club 12:34 Ethereum May and June forecast 15:30 ETH volatility and the $1,000 target 20:02 What TOTALES shows about the whole crypto market 23:29 TOTALES May and June downside projections 27:04 TOTALES vs TOTALLY50 vs TOTALLY100 explained 31:39 TOTALLY50 forecast and mid-cap risk 34:51 TOTALLY100 forecast and smaller-cap risk 36:21 Why July could bring a bounce 37:40 These are projections, not guarantees 40:02 How traders should prepare 41:48 Trading volatility and final thoughts 🎲 Play Moonin Papa BINGO with today's video: 💹 Take Your Trading to the Next Level! 💰 Sign up & Trade on Kraken 👉 🥇 Toobit: $15k Bonus 👉 🥈 TBO indicator: identify trends early, confirm breakouts, and maximize profits by staying in the trend 👉 📚 Learn Proven Crypto Strategies: Master bot trading, scalping, day trading, and swing trading with our courses: 🌐 Stay Connected: Follow me for market updates and insights across platforms:

I think May and June could be brutal for crypto, and in this video I walk through exactly why I still believe BTC could push all the way down to $38,555 before this bear market leg is done. The core of the argument comes from the crypto calendar and how the last real bottom years behaved, especially when you compare monthly closes with the full wick-to-wick volatility inside those candles. I break down what those historical averages imply for BTC first, then apply the same lens to ETH and the broader market. The important point is not just that monthly closes could be red. It is that the intramonth volatility can get much uglier than the close alone suggests, which is why a move that looks manageable on paper can still feel like a bloodbath in real time. I also zoom out to TOTALES and the smaller-cap market to show how deep the damage could go if the same kind of bear-market behavior repeats. That is where the opportunity comes in too. If this forecast is even directionally right, the next two months could create some of the best accumulation windows of the cycle, but only for people who stay patient, think probabilistically, and avoid pretending projections are guarantees. The biggest takeaway is that this is a forecast, not a certainty. July has historically looked stronger, but I do not treat that as proof the full bottom is in. Right now I am using the best historical data we have to map the downside, prepare for volatility, and think ahead instead of reacting after the damage is already done. Crypto Calendar: Chapters: 00:00 Bitcoin to $38,555 by June? 01:48 BTC May and June historical forecast 03:19 Bitcoin volatility and lower wick projections 06:40 June could be even worse for BTC 10:47 Why this data comes from The Better Traders Club 12:34 Ethereum May and June forecast 15:30 ETH volatility and the $1,000 target 20:02 What TOTALES shows about the whole crypto market 23:29 TOTALES May and June downside projections 27:04 TOTALES vs TOTALLY50 vs TOTALLY100 explained 31:39 TOTALLY50 forecast and mid-cap risk 34:51 TOTALLY100 forecast and smaller-cap risk 36:21 Why July could bring a bounce 37:40 These are projections, not guarantees 40:02 How traders should prepare 41:48 Trading volatility and final thoughts 🎲 Play Moonin Papa BINGO with today's video: 💹 Take Your Trading to the Next Level! 💰 Sign up & Trade on Kraken 👉 🥇 Toobit: $15k Bonus 👉 🥈 TBO indicator: identify trends early, confirm breakouts, and maximize profits by staying in the trend 👉 📚 Learn Proven Crypto Strategies: Master bot trading, scalping, day trading, and swing trading with our courses: 🌐 Stay Connected: Follow me for market updates and insights across platforms:

Aaron Dishner

17,844 просмотров • 4 месяцев назад