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𝐑𝐢𝐝𝐞 𝐢𝐬 𝐋𝐈𝐕𝐄: 𝐒𝐭𝐨𝐩 𝐠𝐮𝐞𝐬𝐬𝐢𝐧𝐠. 𝐒𝐭𝐚𝐫𝐭 𝐖𝐢𝐧𝐧𝐢𝐧𝐠. Most people on PolyMarket are just "vibing" (and losing). If you're following the crowd, you're the exit liquidity. 𝐑𝐢𝐝𝐞 𝐢𝐬 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐟𝐥𝐢𝐩 𝐭𝐡𝐞 𝐬𝐜𝐫𝐢𝐩𝐭. 𝐒𝐦𝐚𝐫𝐭 𝐂𝐨𝐧𝐬𝐞𝐧𝐬𝐮𝐬 = The Cheat Code We don’t care what the crowd says. Our algorithm sniffs out... the Top 1% elite predictors—the ones who actually win. When they move together, you move. Simple 𝐒𝐥𝐚𝐲 𝐭𝐡𝐞 𝟓 / 𝟏𝟓 𝐦𝐢𝐧 𝐦𝐚𝐫𝐤𝐞𝐭𝐬 Ride gives you instant execution and one-tap buy/sell — so you can snipe mispriced odds before the bots wake up. 𝐍𝐨 𝐌𝐨𝐫𝐞 𝐋𝐚𝐩𝐭𝐨𝐩 𝐆𝐫𝐢𝐧𝐝 Trade in seconds from anywhere — while everyone else is still opening tabs. 𝐒𝐭𝐨𝐩 𝐩𝐫𝐚𝐲𝐢𝐧𝐠 𝐭𝐨 𝐭𝐡𝐞 𝐜𝐚𝐧𝐝𝐥𝐞 𝐠𝐨𝐝𝐬. 𝐑𝐢𝐝𝐞 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐰𝐢𝐧𝐧𝐞𝐫𝐬. 👇 𝐆𝐞𝐭 𝐭𝐡𝐞 𝐄𝐝𝐠𝐞:show more

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14,292 次观看 • 5 个月前 •via X (Twitter)

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"𝐑𝐚𝐥𝐞𝐢𝐠𝐡 𝐡𝐚𝐬 𝐬𝐨𝐦𝐞 𝐭𝐡𝐢𝐧𝐠𝐬 𝐢𝐧 𝐩𝐥𝐚𝐜𝐞 𝐭𝐡𝐚𝐭 𝐍𝐚𝐬𝐡𝐯𝐢𝐥𝐥𝐞 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭." Triangle Business Journal is reporting what everyone here in North Carolina and the rest of the baseball world is starting to realize... Nashville may not be the 'front-runner' for MLB expansion in the East after all. And that's not just opinion anymore... - 𝐓𝐡𝐞𝐲'𝐯𝐞 𝐜𝐨𝐦𝐦𝐢𝐭𝐭𝐞𝐝 $𝟏.𝟐𝐁 𝐢𝐧 𝐩𝐮𝐛𝐥𝐢𝐜 𝐟𝐮𝐧𝐝𝐬 to building a brand new NFL stadium for the Tennessee Titans. A stadium which will likely not have hosted a single game by the time MLB Expansion kicks off. - 𝐓𝐡𝐞 𝐥𝐚𝐧𝐝 𝐭𝐡𝐞𝐲 𝐰𝐞𝐫𝐞 𝐭𝐚𝐫𝐠𝐞𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐚 𝐬𝐭𝐚𝐝𝐢𝐮𝐦 𝐢𝐬 𝐨𝐟𝐟 𝐭𝐡𝐞 𝐛𝐨𝐚𝐫𝐝. Nashville just approved the East Bend redevelopment rezoning, which prohibits stadium or arena use on the property. - In an interview on WKRN radio in Nashville, Mayor Freddie O'Connell said in response to landing an MLB expansion team, "𝐖𝐞 𝐝𝐨 𝐧𝐨𝐭 𝐡𝐚𝐯𝐞 𝐚𝐧 𝐌𝐋𝐁 𝐬𝐭𝐚𝐝𝐢𝐮𝐦, 𝐚𝐧𝐝 𝐰𝐞 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐢𝐧𝐭𝐞𝐧𝐝𝐢𝐧𝐠 𝐭𝐨 𝐩𝐮𝐛𝐥𝐢𝐜𝐥𝐲 𝐟𝐢𝐧𝐚𝐧𝐜𝐞 𝐨𝐧𝐞." - 𝐍𝐨 𝐨𝐰𝐧𝐞𝐫 𝐡𝐚𝐬 𝐬𝐭𝐞𝐩𝐩𝐞𝐝 𝐮𝐩, and they've publicly stated they are hoping MLB provides them with one. So if Nashville is not the front-runner, then who is? 𝐈𝐭'𝐬 𝐭𝐢𝐦𝐞 𝐭𝐨 𝐰𝐫𝐚𝐩 𝐲𝐨𝐮𝐫 𝐡𝐞𝐚𝐝 𝐚𝐫𝐨𝐮𝐧𝐝 𝐭𝐡𝐞 𝐧𝐨𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐑𝐚𝐥𝐞𝐢𝐠𝐡 𝐢𝐬 𝐭𝐡𝐞 𝐟𝐫𝐨𝐧𝐭 𝐫𝐮𝐧𝐧𝐞𝐫 for East Coast MLB expansion. And here's why 👇 𝐖𝐞 𝐡𝐚𝐯𝐞 𝐢𝐭 𝐚𝐥𝐥. - A billionaire owner who just won a Stanley Cup in our market + another with pro sports ownership experience that has publicly stated interest - Multiple land options (w/ districts) ready to go - Bipartisan support in the government which has put forth the initial framework for a stadium funding plan 𝐏𝐥𝐮𝐬, 𝐰𝐞 𝐡𝐚𝐯𝐞 𝐭𝐡𝐞 𝐬𝐭𝐫𝐨𝐧𝐠𝐞𝐫 𝐦𝐚𝐫𝐤𝐞𝐭... - 5M MORE people in our state (largest in the US without MLB) - 1.2M MORE people within 60 miles of our city center - #22 media market in the country; they are #27 - 3 Top-50 media markets in our state; they have 1 It's only a matter of time before people start digging and begin to realize that the past 8 years haven't just been a fun social media campaign... It's been a strategic, non-stop statewide collaboration to bring every single piece of the puzzle together, at the right time, to make it nearly impossible for MLB to say no to expansion in North Carolina. Great reporting from Dane Huffman and the tbj, and we're pretty sure in the coming months you'll hear a WHOLE lot more of the same from outlets all over the country. #RaleighOnDeck #MLB2NC

MLB2NC

12,409 次观看 • 15 天前

$SPCX ROADMAP: $150 → $200 → $75 $75 → $90 → $80 $80 → $130 → $170 $170 → $200 → $250 Bookmark this tweet and compare it later 🔖 Now here’s why. This chart is not random. It’s following the same IPO trap structure almost perfectly. Stage 1: – Day 1 euphoria – Retail buys the hype Stage 2: – First brutal selloff – Everyone who chased the launch gets punished Stage 3: – Dead money – The crowd gets bored – Then scared – Then sells at a loss That’s the entire point. – Institutions don’t buy when everyone is screaming about the IPO – They wait until nobody cares – They buy when retail gives up Stage 4: – The real move begins – Not from the hype – Not from Day 1 From the zone where everyone is too scared to touch it. Don’t be exit liquidity. Be patient. Keep in mind: I’ve called every major market top and bottom for over 10 YEARS. I was one of the only people who called the top in October, and I’ll do it again, that’s literally my job. If you still haven’t followed me, you’ll regret it.

$SPCX ROADMAP: $150 → $200 → $75 $75 → $90 → $80 $80 → $130 → $170 $170 → $200 → $250 Bookmark this tweet and compare it later 🔖 Now here’s why. This chart is not random. It’s following the same IPO trap structure almost perfectly. Stage 1: – Day 1 euphoria – Retail buys the hype Stage 2: – First brutal selloff – Everyone who chased the launch gets punished Stage 3: – Dead money – The crowd gets bored – Then scared – Then sells at a loss That’s the entire point. – Institutions don’t buy when everyone is screaming about the IPO – They wait until nobody cares – They buy when retail gives up Stage 4: – The real move begins – Not from the hype – Not from Day 1 From the zone where everyone is too scared to touch it. Don’t be exit liquidity. Be patient. Keep in mind: I’ve called every major market top and bottom for over 10 YEARS. I was one of the only people who called the top in October, and I’ll do it again, that’s literally my job. If you still haven’t followed me, you’ll regret it.

DANNY

181,777 次观看 • 1 个月前

$SPCX ROADMAP: $150 → $200 → $75 $75 → $90 → $80 $80 → $130 → $170 $170 → $200 → $250 Bookmark this tweet and compare it later 🔖 Now here’s why. This chart is not random. It’s following the same IPO trap structure almost perfectly. Stage 1: – Day 1 euphoria – Retail buys the hype Stage 2: – First brutal selloff – Everyone who chased the launch gets punished Stage 3: – Dead money – The crowd gets bored – Then scared – Then sells at a loss That’s the entire point. – Institutions don’t buy when everyone is screaming about the IPO – They wait until nobody cares – They buy when retail gives up Stage 4: – The real move begins – Not from the hype – Not from Day 1 From the zone where everyone is too scared to touch it. Don’t be exit liquidity. Be patient. Keep in mind: I’ve called every major market top and bottom for over 10 YEARS. I was one of the only people who called the top in October, and I’ll do it again, that’s literally my job. If you still haven’t followed me, you’ll regret it.

$SPCX ROADMAP: $150 → $200 → $75 $75 → $90 → $80 $80 → $130 → $170 $170 → $200 → $250 Bookmark this tweet and compare it later 🔖 Now here’s why. This chart is not random. It’s following the same IPO trap structure almost perfectly. Stage 1: – Day 1 euphoria – Retail buys the hype Stage 2: – First brutal selloff – Everyone who chased the launch gets punished Stage 3: – Dead money – The crowd gets bored – Then scared – Then sells at a loss That’s the entire point. – Institutions don’t buy when everyone is screaming about the IPO – They wait until nobody cares – They buy when retail gives up Stage 4: – The real move begins – Not from the hype – Not from Day 1 From the zone where everyone is too scared to touch it. Don’t be exit liquidity. Be patient. Keep in mind: I’ve called every major market top and bottom for over 10 YEARS. I was one of the only people who called the top in October, and I’ll do it again, that’s literally my job. If you still haven’t followed me, you’ll regret it.

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104,024 次观看 • 1 个月前

🚨 DON’T BECOME EXIT LIQUIDITY Today, SpaceX hits the public market at a $2.2 TRILLION valuation. This isn’t just another IPO. It’s the biggest liquidity-grab event in history. People are dumping EVERYTHING just to buy a few shares. The crowd sees unlimited upside. Institutions see a liquidity event. Stay away from Day 1. It’s a textbook trap. You’re buying shares from insiders who’ve been waiting years for this exact moment. And the timing couldn’t be more dangerous. The market is still drunk on the AI narrative. Valuations are stretched. Speculation is everywhere. Everyone believes the party continues forever. It doesn’t. The AI bubble is closer to the end than the beginning. Inflation pressures are building again. The market is underestimating how restrictive monetary policy can become. Risk assets don’t thrive when liquidity disappears. They suffer. Then comes the phase nobody is prepared for. Months of painful sideways action. No breakout. No moon mission. Just a slow grind lower and endless frustration. This is where retail gets destroyed. And it works every cycle. The headlines fade. The influencers move on. The excitement disappears. 99% of investors lose patience and sell at a loss. That’s when smart money starts accumulating. Quietly. Without the hype. Without the attention. Without the crowd. When nobody wants to hear the word SpaceX anymore. You have two choices: Buy the listing and become exit liquidity. Or wait for the fear, the boredom, and the discount. Patience pays you in the end. FOMO pays them immediately. For the record, I called the $17K Bitcoin bottom in 2022, and the $126K market top in 2025. I’ll call the real entry for SpaceX too. The crowd will be too scared to buy. Follow and turn on notifications. Most people will see the opportunity only after it’s already gone.

🚨 DON’T BECOME EXIT LIQUIDITY Today, SpaceX hits the public market at a $2.2 TRILLION valuation. This isn’t just another IPO. It’s the biggest liquidity-grab event in history. People are dumping EVERYTHING just to buy a few shares. The crowd sees unlimited upside. Institutions see a liquidity event. Stay away from Day 1. It’s a textbook trap. You’re buying shares from insiders who’ve been waiting years for this exact moment. And the timing couldn’t be more dangerous. The market is still drunk on the AI narrative. Valuations are stretched. Speculation is everywhere. Everyone believes the party continues forever. It doesn’t. The AI bubble is closer to the end than the beginning. Inflation pressures are building again. The market is underestimating how restrictive monetary policy can become. Risk assets don’t thrive when liquidity disappears. They suffer. Then comes the phase nobody is prepared for. Months of painful sideways action. No breakout. No moon mission. Just a slow grind lower and endless frustration. This is where retail gets destroyed. And it works every cycle. The headlines fade. The influencers move on. The excitement disappears. 99% of investors lose patience and sell at a loss. That’s when smart money starts accumulating. Quietly. Without the hype. Without the attention. Without the crowd. When nobody wants to hear the word SpaceX anymore. You have two choices: Buy the listing and become exit liquidity. Or wait for the fear, the boredom, and the discount. Patience pays you in the end. FOMO pays them immediately. For the record, I called the $17K Bitcoin bottom in 2022, and the $126K market top in 2025. I’ll call the real entry for SpaceX too. The crowd will be too scared to buy. Follow and turn on notifications. Most people will see the opportunity only after it’s already gone.

0xNobler

141,180 次观看 • 2 个月前

🚨 hyperliquid:native 📊 I'm seeing something very interesting. Across multiple exchanges, HYPE funding rates are turning negative. What does that mean? ➡️ More traders are opening short positions. ➡️ The crowd is once again betting on downside. ➡️ Liquidity above the market keeps building. And we all know what often happens when the majority ends up on the same side of the trade. 👀 📉 I still wouldn't rule out one more dip. The $65 zone remains a logical area for a final liquidity sweep. If the market wants to shake out impatient traders one last time, that's where I'll be watching closely. 📈 But from a bigger-picture perspective, nothing has changed. I still view the current structure as liquidity accumulation before the next major move higher. 🎯 My main target remains the same — a new ATH for HYPE. 💡 While most traders argue about direction, I'm focused on finding high-quality entries. The best opportunities rarely feel comfortable when they first appear. ❓Do you think we see one more dip toward $65, or is HYPE ready to break into new highs? 👇 Share your thoughts below. 📌 When HYPE prints a new ATH, most people will start looking for reasons why it happened. Right now, you still have the chance to position yourself before it becomes obvious. Follow for the levels before the move. 🚀

🚨 hyperliquid:native 📊 I'm seeing something very interesting. Across multiple exchanges, HYPE funding rates are turning negative. What does that mean? ➡️ More traders are opening short positions. ➡️ The crowd is once again betting on downside. ➡️ Liquidity above the market keeps building. And we all know what often happens when the majority ends up on the same side of the trade. 👀 📉 I still wouldn't rule out one more dip. The $65 zone remains a logical area for a final liquidity sweep. If the market wants to shake out impatient traders one last time, that's where I'll be watching closely. 📈 But from a bigger-picture perspective, nothing has changed. I still view the current structure as liquidity accumulation before the next major move higher. 🎯 My main target remains the same — a new ATH for HYPE. 💡 While most traders argue about direction, I'm focused on finding high-quality entries. The best opportunities rarely feel comfortable when they first appear. ❓Do you think we see one more dip toward $65, or is HYPE ready to break into new highs? 👇 Share your thoughts below. 📌 When HYPE prints a new ATH, most people will start looking for reasons why it happened. Right now, you still have the chance to position yourself before it becomes obvious. Follow for the levels before the move. 🚀

Zyak1991

25,346 次观看 • 1 个月前

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

cvxv666

50,799 次观看 • 4 个月前

$most Polymarket bots die the same way they quote symmetrically around mid-price price moves they absorb the loss repeat until account is empty the fix has been in academic papers since 2008 Stoikov figured it out studying stock market microstructure the math translates directly to prediction markets here's what actually matters: mid-price is a bad signal it's the average of best bid and ask on thin Polymarket orderbooks that number is almost meaningless what you want is VAMP Volume Adjusted Mid Price you walk into the orderbook depth and calculate the weighted average price for a given volume filters out the gaps, gives you a real reference point then you stop quoting symmetrically the reservation price formula: r = Mid - β × Q Q is your current inventory if you're long YES contracts, r shifts down automatically your bot starts selling YES cheaper and stops buying aggressively target is always flat inventory the spread isn't static either it has two components: volatility premium (widens when market moves fast) microstructure premium (depends on how often orders actually fill) if Polymarket odds start swinging fast, spread widens in real time static spread = guaranteed adverse selection - one more thing Stoikov points out: small tick size markets are where this model actually works large-tick markets (CME futures, liquid ETFs) have massive queues you can't nudge your price by a fraction of a tick without losing your place Polymarket is small-tick by nature binary markets, USDC pricing, sparse orderbooks that's exactly the environment this model was built for the P&L comparison between naive bots and inventory-controlled bots is not close naive strategy: wide distribution, occasional huge wins, regular wipeouts inventory control: tight distribution, consistent positive drift, rare catastrophic losses the "pennies in front of a steamroller" problem doesn't go away but you can see the steamroller coming if you're watching orderbook imbalance when bid volume heavily outweighs ask volume price is about to move up your bot should already be adjusting before the move happens that's the wealth still building the inventory control layer myself using for live execution in the meantime it handles the market scanning and order management while i finish the rest$

most Polymarket bots die the same way they quote symmetrically around mid-price price moves they absorb the loss repeat until account is empty the fix has been in academic papers since 2008 Stoikov figured it out studying stock market microstructure the math translates directly to prediction markets here's what actually matters: mid-price is a bad signal it's the average of best bid and ask on thin Polymarket orderbooks that number is almost meaningless what you want is VAMP Volume Adjusted Mid Price you walk into the orderbook depth and calculate the weighted average price for a given volume filters out the gaps, gives you a real reference point then you stop quoting symmetrically the reservation price formula: r = Mid - β × Q Q is your current inventory if you're long YES contracts, r shifts down automatically your bot starts selling YES cheaper and stops buying aggressively target is always flat inventory the spread isn't static either it has two components: volatility premium (widens when market moves fast) microstructure premium (depends on how often orders actually fill) if Polymarket odds start swinging fast, spread widens in real time static spread = guaranteed adverse selection - one more thing Stoikov points out: small tick size markets are where this model actually works large-tick markets (CME futures, liquid ETFs) have massive queues you can't nudge your price by a fraction of a tick without losing your place Polymarket is small-tick by nature binary markets, USDC pricing, sparse orderbooks that's exactly the environment this model was built for the P&L comparison between naive bots and inventory-controlled bots is not close naive strategy: wide distribution, occasional huge wins, regular wipeouts inventory control: tight distribution, consistent positive drift, rare catastrophic losses the "pennies in front of a steamroller" problem doesn't go away but you can see the steamroller coming if you're watching orderbook imbalance when bid volume heavily outweighs ask volume price is about to move up your bot should already be adjusting before the move happens that's the wealth still building the inventory control layer myself using for live execution in the meantime it handles the market scanning and order management while i finish the rest

cryptovcdegen

19,483 次观看 • 5 个月前

𝐭𝐡𝐞 𝐰𝐨𝐫𝐝𝐰𝐚𝐫𝐞 𝐥𝐚𝐮𝐧𝐜𝐡: 𝐛𝐫𝐢𝐧𝐠𝐢𝐧𝐠 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐭𝐨 𝐥𝐢𝐟𝐞 🚀 𝐭𝐥;𝐝𝐫 we've spent the last months building triggers, tools & data sources for wordware - starting today, you can create AI workflows that actually run in your life without writing a single line of code. 2000+ integrations, english as the programming language, it looks like a document but works like magic. see what's possible with AI: 𝐭𝐡𝐞 𝐫𝐢𝐬𝐤𝐲 𝐛𝐞𝐭 🎲 we started by building an infrastructure product for technical teams making AI agents. the high-ceiling, powerful platform got traction - 60 real companies using our API some paying 15k mrr, 10mm+ people used these agents. then our last launch happened. 400k new users hit the same wall: "love it, but can't use it without coding." then we realized in today's world everyone is a builder. so we took the leap: what if our technical foundation became the perfect launchpad to make wordware deployable for everyone? 𝐭𝐡𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐞𝐜𝐞: 𝐭𝐫𝐢𝐠𝐠𝐞𝐫𝐬, 𝐭𝐨𝐨𝐥𝐬 & 𝐝𝐚𝐭𝐚 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 ⚡ for the last months, our team has been working nights and weekends to transform wordware from an AI platform that requires engineers to integrate, into something anyone can deploy. you know those AI workflows already in your life? the ones where you copy-paste between different AI chats, manually trigger actions, and piece together insights? now you can describe it once and automate forever. 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 🛠️ • 𝟐𝟎𝟎𝟎+ 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 - connect to all your favorite tools • 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭-𝐥𝐢𝐤𝐞 𝐢𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 - if you can write it in english, you can build it • 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠-𝐟𝐢𝐫𝐬𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 - not just "if this, then that" but "understand this, reason about it, then act" imagine: your typeform lead comes in → wordware analyzes intent, enriches with research, calculates a lead score, and routes to the right sales rep with a personalized draft email. or: your email triggers a workflow → wordware determines importance, archives the newsletter, flags the urgent request in slack, and drafts responses that sound like you. your intent and taste, AI's execution. 𝐰𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 💡 • the future of AI is systems working for us behind the scenes. • we're making AI the reasoning engine, not just another tool in the chain. • traditional automation moves data. wordware understands what that data means. 𝐣𝐨𝐢𝐧 𝐮𝐬 🚀 we've raised $30M to build the AI Operating System - where workflows get built, shared, deployed and forked. no waitlists - we're giving out credits to help build this ecosystem. get started for free: p.s. huge thanks to our team who pulled all-nighters, debugged on weekends, and somehow managed to ship 2000+ integrations while having fun next stop: the beach office with the wind/kite surfing rack 🏄‍♀️

𝐭𝐡𝐞 𝐰𝐨𝐫𝐝𝐰𝐚𝐫𝐞 𝐥𝐚𝐮𝐧𝐜𝐡: 𝐛𝐫𝐢𝐧𝐠𝐢𝐧𝐠 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐭𝐨 𝐥𝐢𝐟𝐞 🚀 𝐭𝐥;𝐝𝐫 we've spent the last months building triggers, tools & data sources for wordware - starting today, you can create AI workflows that actually run in your life without writing a single line of code. 2000+ integrations, english as the programming language, it looks like a document but works like magic. see what's possible with AI: 𝐭𝐡𝐞 𝐫𝐢𝐬𝐤𝐲 𝐛𝐞𝐭 🎲 we started by building an infrastructure product for technical teams making AI agents. the high-ceiling, powerful platform got traction - 60 real companies using our API some paying 15k mrr, 10mm+ people used these agents. then our last launch happened. 400k new users hit the same wall: "love it, but can't use it without coding." then we realized in today's world everyone is a builder. so we took the leap: what if our technical foundation became the perfect launchpad to make wordware deployable for everyone? 𝐭𝐡𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐞𝐜𝐞: 𝐭𝐫𝐢𝐠𝐠𝐞𝐫𝐬, 𝐭𝐨𝐨𝐥𝐬 & 𝐝𝐚𝐭𝐚 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 ⚡ for the last months, our team has been working nights and weekends to transform wordware from an AI platform that requires engineers to integrate, into something anyone can deploy. you know those AI workflows already in your life? the ones where you copy-paste between different AI chats, manually trigger actions, and piece together insights? now you can describe it once and automate forever. 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 🛠️ • 𝟐𝟎𝟎𝟎+ 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 - connect to all your favorite tools • 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭-𝐥𝐢𝐤𝐞 𝐢𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 - if you can write it in english, you can build it • 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠-𝐟𝐢𝐫𝐬𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 - not just "if this, then that" but "understand this, reason about it, then act" imagine: your typeform lead comes in → wordware analyzes intent, enriches with research, calculates a lead score, and routes to the right sales rep with a personalized draft email. or: your email triggers a workflow → wordware determines importance, archives the newsletter, flags the urgent request in slack, and drafts responses that sound like you. your intent and taste, AI's execution. 𝐰𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 💡 • the future of AI is systems working for us behind the scenes. • we're making AI the reasoning engine, not just another tool in the chain. • traditional automation moves data. wordware understands what that data means. 𝐣𝐨𝐢𝐧 𝐮𝐬 🚀 we've raised $30M to build the AI Operating System - where workflows get built, shared, deployed and forked. no waitlists - we're giving out credits to help build this ecosystem. get started for free: p.s. huge thanks to our team who pulled all-nighters, debugged on weekends, and somehow managed to ship 2000+ integrations while having fun next stop: the beach office with the wind/kite surfing rack 🏄‍♀️

Filip Kozera

65,236 次观看 • 1 年前

Not sure if anyone has ever translated it, but here’s some of the messages which brought me to tears everytime I watch it. “All this while, you’ve probably been seen by others as a lucky person. But we, who care for you know all the grievances you've suffered and the sweat you've shed. What others may see as a luck is actually the result of you who always work hard and demand more of yourself than what others expected. When you win an award, you always thank everyone, but the person you should be the most grateful for is actually you, yourself. Your persistence and hard work is what enable us to see the best version of Lim YoonA. You once said that because of your fear/ concerns, you couldn’t help but to live a life like a model student and we who care for you are really heartbroken knowing that. It’s okay if you feel tired YoonA ya because when you look back, there will always be a group of people behind you who will never leave you. No matter where you are, we will always be there to protect you. Just like before, eventhough we were far apart, you can still feel us with your heart. No matter what you are uncertain about, don’t worry, don’t be anxious. You must believe in yourself, believe that our hearts are connected. We’ll give you all the courage. Our YoonA ya, you have to be brave okay? Don’t be afraid of the dark. From now on, let’s do well together.”

Not sure if anyone has ever translated it, but here’s some of the messages which brought me to tears everytime I watch it. “All this while, you’ve probably been seen by others as a lucky person. But we, who care for you know all the grievances you've suffered and the sweat you've shed. What others may see as a luck is actually the result of you who always work hard and demand more of yourself than what others expected. When you win an award, you always thank everyone, but the person you should be the most grateful for is actually you, yourself. Your persistence and hard work is what enable us to see the best version of Lim YoonA. You once said that because of your fear/ concerns, you couldn’t help but to live a life like a model student and we who care for you are really heartbroken knowing that. It’s okay if you feel tired YoonA ya because when you look back, there will always be a group of people behind you who will never leave you. No matter where you are, we will always be there to protect you. Just like before, eventhough we were far apart, you can still feel us with your heart. No matter what you are uncertain about, don’t worry, don’t be anxious. You must believe in yourself, believe that our hearts are connected. We’ll give you all the courage. Our YoonA ya, you have to be brave okay? Don’t be afraid of the dark. From now on, let’s do well together.”

-`♡´-

20,113 次观看 • 1 年前

Peter Lynch, the man who turned $20 million into $14 billion running Fidelity's Magellan Fund, averaging 29.2% annual returns for 13 straight years (Save this). And his most famous lesson is the simplest one: "Know what you own, and know why you own it." He's talking about something that happens every day, people spend hours researching which refrigerator to buy. They'll spend days hunting for the best airfare deal to save $50 then they'll hear a stock tip on the bus and drop $10,000 on it without a second thought. "The reason I own this is the sucker is going up" Lynch said that's the actual answer he gets when he presses most investors on why they own a stock and that, he says, is not a reason. His test is brutal and simple, if you can't explain to a 10 year old in two minutes or less why you own a stock, you shouldn't own it because if you don't understand the business, you have no idea when to hold, when to add, or when to sell. You're just riding price movement blind. This is why most retail investors lose money not because they pick bad stocks but because they panic out of good ones during normal volatility. When you don't understand why you own something, every 10% dip feels like a reason to sell. Lynch built his entire career on the opposite approach, find simple businesses, understand exactly what they do, know why they'll be worth more in five years, and hold with conviction while everyone else panics. The most important thing isn't your stock screener or your price target but rather being able to look at what you own and say, I understand this, I know why it goes up, and I can handle it going down 30% without losing my mind.

Peter Lynch, the man who turned $20 million into $14 billion running Fidelity's Magellan Fund, averaging 29.2% annual returns for 13 straight years (Save this). And his most famous lesson is the simplest one: "Know what you own, and know why you own it." He's talking about something that happens every day, people spend hours researching which refrigerator to buy. They'll spend days hunting for the best airfare deal to save $50 then they'll hear a stock tip on the bus and drop $10,000 on it without a second thought. "The reason I own this is the sucker is going up" Lynch said that's the actual answer he gets when he presses most investors on why they own a stock and that, he says, is not a reason. His test is brutal and simple, if you can't explain to a 10 year old in two minutes or less why you own a stock, you shouldn't own it because if you don't understand the business, you have no idea when to hold, when to add, or when to sell. You're just riding price movement blind. This is why most retail investors lose money not because they pick bad stocks but because they panic out of good ones during normal volatility. When you don't understand why you own something, every 10% dip feels like a reason to sell. Lynch built his entire career on the opposite approach, find simple businesses, understand exactly what they do, know why they'll be worth more in five years, and hold with conviction while everyone else panics. The most important thing isn't your stock screener or your price target but rather being able to look at what you own and say, I understand this, I know why it goes up, and I can handle it going down 30% without losing my mind.

StockMarket.News

170,341 次观看 • 3 个月前

🚨🌎 THIS IS THE ONE THEY DON’T WALK BACK FROM 𝐀 “𝐨𝐧𝐜𝐞-𝐢𝐧-𝐚-𝐥𝐢𝐟𝐞𝐭𝐢𝐦𝐞” 𝐬𝐭𝐨𝐫𝐦 𝐢𝐬 𝐥𝐢𝐧𝐢𝐧𝐠 𝐮𝐩 𝐭𝐨 𝐡𝐢𝐭 𝐇𝐀𝐋𝐅 𝐭𝐡𝐞 𝐔𝐧𝐢𝐭𝐞𝐝 𝐒𝐭𝐚𝐭𝐞𝐬……𝐚𝐧𝐝 𝐢𝐧𝐬𝐢𝐝𝐞𝐫𝐬 𝐚𝐫𝐞 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐛𝐫𝐚𝐜𝐢𝐧𝐠 𝐟𝐨𝐫 𝐬𝐲𝐬𝐭𝐞𝐦𝐢𝐜 𝐟𝐚𝐢𝐥𝐮𝐫𝐞, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐛𝐚𝐝 𝐰𝐞𝐚𝐭𝐡𝐞𝐫. “𝐓𝐡𝐢𝐬 𝐢𝐬 𝐨𝐧𝐞 𝐨𝐟 𝐭𝐡𝐨𝐬𝐞 𝐬𝐭𝐨𝐫𝐦𝐬 𝐲𝐨𝐮 𝐫𝐞𝐦𝐞𝐦𝐛𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐫𝐞𝐬𝐭 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐥𝐢𝐟𝐞.” That’s not a social-media doomer. That’s Matt Randolph, a Forbes energy contributor, after every major forecast model suddenly converged……the very scenario dismissed all week… until it couldn’t be ignored. This isn’t “a snowstorm.” ❌ 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐚𝐧 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐞𝐯𝐞𝐧𝐭 ❌ 🧊 Below-zero temps 🧊 Heavy, paralyzing snow 🧊 An ice band forecasting up to THREE INCHES of ice 🗣️Randolph doesn’t mince words: “There’s going to be loss of life.” “The grid is going to fail.” “Refineries will shut down.” “Water systems will go offline.” 🚨And here’s the part being buried🚨 “𝐏𝐥𝐚𝐧 𝐭𝐨 𝐛𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐩𝐨𝐰𝐞𝐫 𝐟𝐨𝐫 𝐚𝐭 𝐥𝐞𝐚𝐬𝐭 𝐚 𝐰𝐞𝐞𝐤. 𝐏𝐨𝐬𝐬𝐢𝐛𝐥𝐲 𝐚 𝐦𝐨𝐧𝐭𝐡.” At that threshold, roads don’t just close….they turn to straight glass. Ambulances can’t reach you., Fire trucks don’t move, Emergency services effectively cease to exist. He compares it to Texas 2021 and says this could be colder, wider, and far harder to recover from. Now ask yourself 👇 ⁉️Why the sudden convergence? ⁉️Why the quiet tone from officials? ⁉️Why no national preparation messaging? Because admitting vulnerability = admitting the grid is already fragile. ⚠️ Weather is the trigger, not the root cause ⚠️ Centralized systems fail together ⚠️ This tests energy, water, logistics, and trust ……all at once! When experts start talking in weeks instead of days, it’s no longer about forecasts. It’s about what happens when the lights don’t come back on ⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️ This isn’t hype., this is a huge stress test. ❄️⚡👀

🚨🌎 THIS IS THE ONE THEY DON’T WALK BACK FROM 𝐀 “𝐨𝐧𝐜𝐞-𝐢𝐧-𝐚-𝐥𝐢𝐟𝐞𝐭𝐢𝐦𝐞” 𝐬𝐭𝐨𝐫𝐦 𝐢𝐬 𝐥𝐢𝐧𝐢𝐧𝐠 𝐮𝐩 𝐭𝐨 𝐡𝐢𝐭 𝐇𝐀𝐋𝐅 𝐭𝐡𝐞 𝐔𝐧𝐢𝐭𝐞𝐝 𝐒𝐭𝐚𝐭𝐞𝐬……𝐚𝐧𝐝 𝐢𝐧𝐬𝐢𝐝𝐞𝐫𝐬 𝐚𝐫𝐞 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐛𝐫𝐚𝐜𝐢𝐧𝐠 𝐟𝐨𝐫 𝐬𝐲𝐬𝐭𝐞𝐦𝐢𝐜 𝐟𝐚𝐢𝐥𝐮𝐫𝐞, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐛𝐚𝐝 𝐰𝐞𝐚𝐭𝐡𝐞𝐫. “𝐓𝐡𝐢𝐬 𝐢𝐬 𝐨𝐧𝐞 𝐨𝐟 𝐭𝐡𝐨𝐬𝐞 𝐬𝐭𝐨𝐫𝐦𝐬 𝐲𝐨𝐮 𝐫𝐞𝐦𝐞𝐦𝐛𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐫𝐞𝐬𝐭 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐥𝐢𝐟𝐞.” That’s not a social-media doomer. That’s Matt Randolph, a Forbes energy contributor, after every major forecast model suddenly converged……the very scenario dismissed all week… until it couldn’t be ignored. This isn’t “a snowstorm.” ❌ 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐚𝐧 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐞𝐯𝐞𝐧𝐭 ❌ 🧊 Below-zero temps 🧊 Heavy, paralyzing snow 🧊 An ice band forecasting up to THREE INCHES of ice 🗣️Randolph doesn’t mince words: “There’s going to be loss of life.” “The grid is going to fail.” “Refineries will shut down.” “Water systems will go offline.” 🚨And here’s the part being buried🚨 “𝐏𝐥𝐚𝐧 𝐭𝐨 𝐛𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐩𝐨𝐰𝐞𝐫 𝐟𝐨𝐫 𝐚𝐭 𝐥𝐞𝐚𝐬𝐭 𝐚 𝐰𝐞𝐞𝐤. 𝐏𝐨𝐬𝐬𝐢𝐛𝐥𝐲 𝐚 𝐦𝐨𝐧𝐭𝐡.” At that threshold, roads don’t just close….they turn to straight glass. Ambulances can’t reach you., Fire trucks don’t move, Emergency services effectively cease to exist. He compares it to Texas 2021 and says this could be colder, wider, and far harder to recover from. Now ask yourself 👇 ⁉️Why the sudden convergence? ⁉️Why the quiet tone from officials? ⁉️Why no national preparation messaging? Because admitting vulnerability = admitting the grid is already fragile. ⚠️ Weather is the trigger, not the root cause ⚠️ Centralized systems fail together ⚠️ This tests energy, water, logistics, and trust ……all at once! When experts start talking in weeks instead of days, it’s no longer about forecasts. It’s about what happens when the lights don’t come back on ⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️⚫️ This isn’t hype., this is a huge stress test. ❄️⚡👀

{Matt} $XRPatriot

89,318 次观看 • 6 个月前

Game theory says the only rational answer is 1. Ben Polak had the smartest students at Yale play it for real - and 1 lost every single year. The winning number was 9, and being right is exactly what got you beaten. The game is simple. Everyone picks a whole number from 1 to 100. Whoever lands closest to two-thirds of the class average wins the money. Work it backwards and the logic is airtight. If people guess at random the average is 50, so you should pick two-thirds of that, 33. But if everyone thinks that far, the average is 33, so you pick 22. Chase the reasoning to its end and every number collapses to 1 - the Nash equilibrium, the only choice that survives if everyone is rational, knows everyone is rational, and knows that they know, forever. So 1 is the "correct" answer. It also loses. The reason is a model of how deep people actually reason: g = 50 × (2/3)^k Start at 50, the random baseline. Each k is one round of "assume everyone else divides by two-thirds." Level 1 gives 33. Level 2 gives 22. Level 3 gives about 15. The Nash player sits at k = infinity and lands on 1. Real humans do not go to infinity. Polak's class averaged 13.33, which the model places at roughly level 3. Two-thirds of 13.33 is 8.9. Round it, and 9 wins. Anyone who played the "rational" 1 was several levels too deep and finished nowhere. This is not a one-off. The same game run on Yale classes came in at 18.5, then 21.5, then 23, then 13.33. Never close to 1. The crowd reasons two to three levels deep and no further, so the money sits near two-thirds of that, not at the equilibrium. It generalizes anywhere the payoff depends on the crowd rather than the theory. A market can stay "wrong" for years because the winning move is not fair value, it is two-thirds of the average guess at fair value. Keynes called it the beauty contest sixty years before anyone put a number on it. The equilibrium tells you where the game ends if everyone is perfect. The money is one step ahead of where the crowd actually stands. Model the players, not the theory.

Game theory says the only rational answer is 1. Ben Polak had the smartest students at Yale play it for real - and 1 lost every single year. The winning number was 9, and being right is exactly what got you beaten. The game is simple. Everyone picks a whole number from 1 to 100. Whoever lands closest to two-thirds of the class average wins the money. Work it backwards and the logic is airtight. If people guess at random the average is 50, so you should pick two-thirds of that, 33. But if everyone thinks that far, the average is 33, so you pick 22. Chase the reasoning to its end and every number collapses to 1 - the Nash equilibrium, the only choice that survives if everyone is rational, knows everyone is rational, and knows that they know, forever. So 1 is the "correct" answer. It also loses. The reason is a model of how deep people actually reason: g = 50 × (2/3)^k Start at 50, the random baseline. Each k is one round of "assume everyone else divides by two-thirds." Level 1 gives 33. Level 2 gives 22. Level 3 gives about 15. The Nash player sits at k = infinity and lands on 1. Real humans do not go to infinity. Polak's class averaged 13.33, which the model places at roughly level 3. Two-thirds of 13.33 is 8.9. Round it, and 9 wins. Anyone who played the "rational" 1 was several levels too deep and finished nowhere. This is not a one-off. The same game run on Yale classes came in at 18.5, then 21.5, then 23, then 13.33. Never close to 1. The crowd reasons two to three levels deep and no further, so the money sits near two-thirds of that, not at the equilibrium. It generalizes anywhere the payoff depends on the crowd rather than the theory. A market can stay "wrong" for years because the winning move is not fair value, it is two-thirds of the average guess at fair value. Keynes called it the beauty contest sixty years before anyone put a number on it. The equilibrium tells you where the game ends if everyone is perfect. The money is one step ahead of where the crowd actually stands. Model the players, not the theory.

Orion

176,298 次观看 • 3 天前

𝐄𝐗𝐏𝐋𝐎𝐒𝐈𝐕𝐄] 𝐌𝐨𝐞𝐥𝐞𝐭𝐬𝐢 𝐌𝐛𝐞𝐤𝐢: 𝐁𝐥𝐚𝐜𝐤 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐄𝐦𝐩𝐨𝐰𝐞𝐫𝐦𝐞𝐧𝐭 𝐒𝐜𝐡𝐞𝐦𝐞 𝐖𝐚𝐬 𝐉𝐮𝐬𝐭 𝐀 𝐌𝐨𝐯𝐞 𝐓𝐨 𝐏𝐥𝐚𝐲 𝐚𝐧𝐝 𝐂𝐨𝐧𝐟𝐮𝐬𝐞 𝐁𝐥𝐚𝐜𝐤 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚𝐧𝐬; 𝐖𝐞𝐚𝐥𝐭𝐡 𝐎𝐟 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚 𝐋𝐚𝐫𝐠𝐞𝐥𝐲 𝐂𝐫𝐞𝐚𝐭𝐞𝐝 𝐁𝐲 𝐁𝐥𝐚𝐜𝐤 𝐏𝐞𝐨𝐩𝐥𝐞; 𝐁𝐥𝐚𝐜𝐤 𝐩𝐞𝐨𝐩𝐥𝐞 𝐢𝐧 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚 𝐡𝐚𝐯𝐞 𝐚 𝐥𝐨𝐭 𝐨𝐟 𝐩𝐨𝐰𝐞𝐫… 𝐛𝐮𝐭 𝐭𝐡𝐞𝐲 𝐝𝐨𝐧’𝐭 𝐪𝐮𝐢𝐭𝐞 𝐤𝐧𝐨𝐰 𝐡𝐨𝐰 𝐭𝐨 𝐮𝐬𝐞 𝐭𝐡𝐞𝐢𝐫 𝐩𝐨𝐰𝐞𝐫; 𝐖𝐡𝐞𝐧 𝐈 𝐰𝐚𝐬 𝐚𝐭 𝐂𝐎𝐒𝐀𝐓𝐔, 𝐈 𝐬𝐮𝐠𝐠𝐞𝐬𝐭𝐞𝐝 𝐭𝐡𝐚𝐭 𝐭𝐡𝐞𝐲 𝐬𝐞𝐭 𝐮𝐩 𝐚 𝐛𝐚𝐧𝐤 𝐨𝐟 𝐭𝐡𝐞𝐢𝐫 𝐨𝐰𝐧 𝐂𝐎𝐒𝐀𝐓𝐔 (𝐁𝐚𝐧𝐤), 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐂𝐎𝐒𝐀𝐓𝐔 𝐭𝐡𝐞𝐧 𝐡𝐚𝐝 𝟏.𝟖 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐦𝐞𝐦𝐛𝐞𝐫𝐬… 𝐩𝐚𝐲𝐢𝐧𝐠, 𝐞𝐯𝐞𝐫𝐲 𝐰𝐞𝐞𝐤, 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 (𝐮𝐧𝐢𝐨𝐧 𝐝𝐮𝐞𝐬). 𝐨𝐯𝐞𝐫𝐫𝐮𝐥𝐞𝐝 𝐛𝐲 𝐦𝐲 𝐛𝐨𝐬𝐬, 𝐰𝐡𝐢𝐜𝐡 𝐰𝐚𝐬 𝐉𝐚𝐲 𝐍𝐚𝐢𝐝𝐨𝐨; 𝐖𝐡𝐚𝐭 𝐰𝐚𝐬 𝐧𝐨𝐭 𝐢𝐧 𝐭𝐡𝐞 𝐧𝐞𝐠𝐨𝐭𝐢𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐚𝐬 𝐭𝐡𝐞 𝐞𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐬𝐢𝐝𝐞 𝐨𝐟 𝐭𝐡𝐢𝐧𝐠𝐬; 𝐀 𝐥𝐨𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐰𝐞𝐚𝐥𝐭𝐡 𝐨𝐟 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚 𝐢𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐨𝐰𝐧𝐞𝐝 𝐛𝐲 𝐁𝐥𝐚𝐜𝐤 𝐩𝐞𝐨𝐩𝐥𝐞 NtsikiMazwaiMedia delivering more 📖 for the nation. Fascinating chat! 🔥🔥🔥👏🏾👏🏾👏🏾👏🏾👏🏾 “The ANC had the power, and it still has the power, to come up with economic policy that benefits everybody but, as I pointed out, through things like Black Economic Empowerment, a lot of its leaders have been co-opted, to just leave things as they are.” “These guys who are in these BEE schemes…That’s one of the main drivers of this corruption… these BEE schemes. [But] for big business — as long as you don’t touch my business — when you steal, actually, a lot of this corruption is stealing taxpayers’ money.” “they (big business) chose black leaders… These guys set up Black Economic Empowerment. Many people naively think that Black Economic Empowerment is there to advance Black people. Actually, it’s there to do the opposite.” “Let’s take one step Back. The wealth of S Africa was largely created by Black South Africans. First, they own the land. So it was their land. It was taken from them; and the minerals under the land were also taken from them… They became the workers to build the mines. So, in real terms, the profits and the capital belongs to them as well. So, when we’re talking about capital in S Africa, it’s actually a national asset. [But] people think it’s a white man this, white man that… When you start to look at who owns these big companies in South Africa… Many people naively think that the white managers own them (big companies). They don’t. Actually, a big part of some of these companies are owned by the Black people through their pension funds, their medical aid, their savings… but they don’t understand… how to get the profits and have a say in how these companies are managed. They just give it to fund managers… You are actually a co-owner of Anglo American… If you don’t ask, they won’t tell… Your money, your savings are in Sanlam, in Old Mutual. You are a co-owner of this. So we have to be careful about who owns the wealth of S Africa. A lot of the wealth of South Africa is actually owned by Black people… but they are not in insisting that…” “Black people in South Africa have a lot of power… but they don’t quite know how to use their power and, of course, the other side is not gonna tell you… They say, leave it to us, we will invest the money and, now and then, pay your pension, or whatever it is; the profits that come… That’s what our trade unions were supposed to do - One of the things they were supposed to do. In fact, when I was at COSATU, I suggested that they set up a bank of their own COSATU (Bank), because COSATU then had 1.8 million members… paying, every week (dues). I said let’s setup a commercial bank, which will finance black entrepreneurs, which will finance housing for our members, who were living in the shanty towns… but I was overruled… 🖇️

𝐄𝐗𝐏𝐋𝐎𝐒𝐈𝐕𝐄] 𝐌𝐨𝐞𝐥𝐞𝐭𝐬𝐢 𝐌𝐛𝐞𝐤𝐢: 𝐁𝐥𝐚𝐜𝐤 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐄𝐦𝐩𝐨𝐰𝐞𝐫𝐦𝐞𝐧𝐭 𝐒𝐜𝐡𝐞𝐦𝐞 𝐖𝐚𝐬 𝐉𝐮𝐬𝐭 𝐀 𝐌𝐨𝐯𝐞 𝐓𝐨 𝐏𝐥𝐚𝐲 𝐚𝐧𝐝 𝐂𝐨𝐧𝐟𝐮𝐬𝐞 𝐁𝐥𝐚𝐜𝐤 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚𝐧𝐬; 𝐖𝐞𝐚𝐥𝐭𝐡 𝐎𝐟 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚 𝐋𝐚𝐫𝐠𝐞𝐥𝐲 𝐂𝐫𝐞𝐚𝐭𝐞𝐝 𝐁𝐲 𝐁𝐥𝐚𝐜𝐤 𝐏𝐞𝐨𝐩𝐥𝐞; 𝐁𝐥𝐚𝐜𝐤 𝐩𝐞𝐨𝐩𝐥𝐞 𝐢𝐧 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚 𝐡𝐚𝐯𝐞 𝐚 𝐥𝐨𝐭 𝐨𝐟 𝐩𝐨𝐰𝐞𝐫… 𝐛𝐮𝐭 𝐭𝐡𝐞𝐲 𝐝𝐨𝐧’𝐭 𝐪𝐮𝐢𝐭𝐞 𝐤𝐧𝐨𝐰 𝐡𝐨𝐰 𝐭𝐨 𝐮𝐬𝐞 𝐭𝐡𝐞𝐢𝐫 𝐩𝐨𝐰𝐞𝐫; 𝐖𝐡𝐞𝐧 𝐈 𝐰𝐚𝐬 𝐚𝐭 𝐂𝐎𝐒𝐀𝐓𝐔, 𝐈 𝐬𝐮𝐠𝐠𝐞𝐬𝐭𝐞𝐝 𝐭𝐡𝐚𝐭 𝐭𝐡𝐞𝐲 𝐬𝐞𝐭 𝐮𝐩 𝐚 𝐛𝐚𝐧𝐤 𝐨𝐟 𝐭𝐡𝐞𝐢𝐫 𝐨𝐰𝐧 𝐂𝐎𝐒𝐀𝐓𝐔 (𝐁𝐚𝐧𝐤), 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐂𝐎𝐒𝐀𝐓𝐔 𝐭𝐡𝐞𝐧 𝐡𝐚𝐝 𝟏.𝟖 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐦𝐞𝐦𝐛𝐞𝐫𝐬… 𝐩𝐚𝐲𝐢𝐧𝐠, 𝐞𝐯𝐞𝐫𝐲 𝐰𝐞𝐞𝐤, 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 (𝐮𝐧𝐢𝐨𝐧 𝐝𝐮𝐞𝐬). 𝐨𝐯𝐞𝐫𝐫𝐮𝐥𝐞𝐝 𝐛𝐲 𝐦𝐲 𝐛𝐨𝐬𝐬, 𝐰𝐡𝐢𝐜𝐡 𝐰𝐚𝐬 𝐉𝐚𝐲 𝐍𝐚𝐢𝐝𝐨𝐨; 𝐖𝐡𝐚𝐭 𝐰𝐚𝐬 𝐧𝐨𝐭 𝐢𝐧 𝐭𝐡𝐞 𝐧𝐞𝐠𝐨𝐭𝐢𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐚𝐬 𝐭𝐡𝐞 𝐞𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐬𝐢𝐝𝐞 𝐨𝐟 𝐭𝐡𝐢𝐧𝐠𝐬; 𝐀 𝐥𝐨𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐰𝐞𝐚𝐥𝐭𝐡 𝐨𝐟 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚 𝐢𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐨𝐰𝐧𝐞𝐝 𝐛𝐲 𝐁𝐥𝐚𝐜𝐤 𝐩𝐞𝐨𝐩𝐥𝐞 NtsikiMazwaiMedia delivering more 📖 for the nation. Fascinating chat! 🔥🔥🔥👏🏾👏🏾👏🏾👏🏾👏🏾 “The ANC had the power, and it still has the power, to come up with economic policy that benefits everybody but, as I pointed out, through things like Black Economic Empowerment, a lot of its leaders have been co-opted, to just leave things as they are.” “These guys who are in these BEE schemes…That’s one of the main drivers of this corruption… these BEE schemes. [But] for big business — as long as you don’t touch my business — when you steal, actually, a lot of this corruption is stealing taxpayers’ money.” “they (big business) chose black leaders… These guys set up Black Economic Empowerment. Many people naively think that Black Economic Empowerment is there to advance Black people. Actually, it’s there to do the opposite.” “Let’s take one step Back. The wealth of S Africa was largely created by Black South Africans. First, they own the land. So it was their land. It was taken from them; and the minerals under the land were also taken from them… They became the workers to build the mines. So, in real terms, the profits and the capital belongs to them as well. So, when we’re talking about capital in S Africa, it’s actually a national asset. [But] people think it’s a white man this, white man that… When you start to look at who owns these big companies in South Africa… Many people naively think that the white managers own them (big companies). They don’t. Actually, a big part of some of these companies are owned by the Black people through their pension funds, their medical aid, their savings… but they don’t understand… how to get the profits and have a say in how these companies are managed. They just give it to fund managers… You are actually a co-owner of Anglo American… If you don’t ask, they won’t tell… Your money, your savings are in Sanlam, in Old Mutual. You are a co-owner of this. So we have to be careful about who owns the wealth of S Africa. A lot of the wealth of South Africa is actually owned by Black people… but they are not in insisting that…” “Black people in South Africa have a lot of power… but they don’t quite know how to use their power and, of course, the other side is not gonna tell you… They say, leave it to us, we will invest the money and, now and then, pay your pension, or whatever it is; the profits that come… That’s what our trade unions were supposed to do - One of the things they were supposed to do. In fact, when I was at COSATU, I suggested that they set up a bank of their own COSATU (Bank), because COSATU then had 1.8 million members… paying, every week (dues). I said let’s setup a commercial bank, which will finance black entrepreneurs, which will finance housing for our members, who were living in the shanty towns… but I was overruled… 🖇️

Mr. Tshweu

274,252 次观看 • 2 年前

𝐈 𝐰𝐚𝐬 𝐟𝐢𝐧𝐚𝐥𝐥𝐲 𝐚𝐛𝐥𝐞 𝐭𝐨 𝐝𝐞𝐟𝐞𝐚𝐭 𝐥𝐞𝐯𝐞𝐥 𝟏𝟓 𝐒𝐡𝐚𝐦𝐚𝐧 𝐚𝐧𝐝 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐬𝐞𝐚𝐬𝐨𝐧 𝟐 𝐨𝐟 Fableborne 𝐜𝐚𝐦𝐩𝐚𝐢𝐠𝐧!!! Tbh this game stressed me so much i got frustrated and almost rage quit😂. As a gamer it is totally normal to act in this manner as it is part of the culture. I attached my full gameplay of level 50, make sure you watch it if you are still finding it difficult to win. I was able to complete season 2 of Fableborne with these tips and tricks👇 𝐓𝐡𝐞 𝐥𝐚𝐬𝐭 𝐩𝐨𝐢𝐧𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭. ▪️ 𝙐𝙨𝙚 𝙍𝙞𝙛𝙩 🟣: In my opinion, 𝐑𝐢𝐟𝐭 has to be the best Hero in the game, The way he can run away from the enemy attacks to self healing is OverPowered(OP). I tried using Shade but it didn't work out too well. I've seen some other guys on the TL use the new Character Shade too. Props to them. But 𝐑𝐢𝐟𝐭 is so much more easier. Also make sure to upgrade him to the max level. ▪️ 𝙂𝙤 𝙬𝙞𝙩𝙝 𝙖 𝙛𝙪𝙡𝙡 𝙝𝙥: When going against Shaman, we all know you can easily die just from one hit if you're not careful😂, This is why you need to make sure your hp is full before you engage him. This is where Rift's self healing helps. ▪️ 𝘼𝙫𝙤𝙞𝙙 𝙎𝙝𝙖𝙢𝙖𝙣 𝙖𝙩𝙩𝙖𝙘𝙠𝙨: If you notice my gameplay, you'll realize I'm running away 90% of the time😂, especially when he sends lightning, make sure you run under the shield 🛡️. ▪️ 𝙔𝙤𝙪𝙧 𝙢𝙖𝙞𝙣 𝙛𝙤𝙘𝙪𝙨 𝙨𝙝𝙤𝙪𝙡𝙙 𝙗𝙚 𝙤𝙣 𝙋𝙪𝙡𝙡𝙚𝙧: Yes you heard me right!. You might be doing so well avoiding shaman attacks until you get pulled in by 𝐏𝐮𝐥𝐥𝐞𝐫. If you noticed, my hp reduced drastically when i got caught by 𝐏𝐮𝐥𝐥𝐞𝐫. That Unit made me fail so much until i realized that he is the real enemy. Honorable mention to the Knight too. Follow me if you found this helpful🤟.

𝐈 𝐰𝐚𝐬 𝐟𝐢𝐧𝐚𝐥𝐥𝐲 𝐚𝐛𝐥𝐞 𝐭𝐨 𝐝𝐞𝐟𝐞𝐚𝐭 𝐥𝐞𝐯𝐞𝐥 𝟏𝟓 𝐒𝐡𝐚𝐦𝐚𝐧 𝐚𝐧𝐝 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐬𝐞𝐚𝐬𝐨𝐧 𝟐 𝐨𝐟 Fableborne 𝐜𝐚𝐦𝐩𝐚𝐢𝐠𝐧!!! Tbh this game stressed me so much i got frustrated and almost rage quit😂. As a gamer it is totally normal to act in this manner as it is part of the culture. I attached my full gameplay of level 50, make sure you watch it if you are still finding it difficult to win. I was able to complete season 2 of Fableborne with these tips and tricks👇 𝐓𝐡𝐞 𝐥𝐚𝐬𝐭 𝐩𝐨𝐢𝐧𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭. ▪️ 𝙐𝙨𝙚 𝙍𝙞𝙛𝙩 🟣: In my opinion, 𝐑𝐢𝐟𝐭 has to be the best Hero in the game, The way he can run away from the enemy attacks to self healing is OverPowered(OP). I tried using Shade but it didn't work out too well. I've seen some other guys on the TL use the new Character Shade too. Props to them. But 𝐑𝐢𝐟𝐭 is so much more easier. Also make sure to upgrade him to the max level. ▪️ 𝙂𝙤 𝙬𝙞𝙩𝙝 𝙖 𝙛𝙪𝙡𝙡 𝙝𝙥: When going against Shaman, we all know you can easily die just from one hit if you're not careful😂, This is why you need to make sure your hp is full before you engage him. This is where Rift's self healing helps. ▪️ 𝘼𝙫𝙤𝙞𝙙 𝙎𝙝𝙖𝙢𝙖𝙣 𝙖𝙩𝙩𝙖𝙘𝙠𝙨: If you notice my gameplay, you'll realize I'm running away 90% of the time😂, especially when he sends lightning, make sure you run under the shield 🛡️. ▪️ 𝙔𝙤𝙪𝙧 𝙢𝙖𝙞𝙣 𝙛𝙤𝙘𝙪𝙨 𝙨𝙝𝙤𝙪𝙡𝙙 𝙗𝙚 𝙤𝙣 𝙋𝙪𝙡𝙡𝙚𝙧: Yes you heard me right!. You might be doing so well avoiding shaman attacks until you get pulled in by 𝐏𝐮𝐥𝐥𝐞𝐫. If you noticed, my hp reduced drastically when i got caught by 𝐏𝐮𝐥𝐥𝐞𝐫. That Unit made me fail so much until i realized that he is the real enemy. Honorable mention to the Knight too. Follow me if you found this helpful🤟.

Mims👾

13,245 次观看 • 1 年前

THIS IS NOT THE FINAL DIP FOR bitcoin:native As promised, $60,000 was only a matter of time People who screamed "bear market's over" at $80k? Losing money. If you're worried about your financial situation, you MUST read this Here's exactly what bitcoin:native will do this summer In my last breakdown I told you: lose $70k, and price takes out the Feb lows. That's exactly what happened. We got the bounce. Now we're trading around $64k. Here's what happens next. Two scenarios: SCENARIO 1: Consolidation between $60k-$68k. No panic sell-off yet. What that does to the crowd: ➮ FOMO from everyone who didn't buy at $60k ➮ the market convinces itself the bottom is already in ➮ a textbook bull trap on the low tf Then? One more dump under $58k... and a pump straight to $70k+. I called this exact move in my June 1 post. It's still live. It's playing out right now. SCENARIO 2: The panic sell-off keeps going for the next few weeks Next support zone: $52K-$56k If sellers keep pressing, that's where we consolidate And what comes after depends on one thing only - sentiment. When your entire feed is begging to sell bitcoin and buy it back at $30k, that's where the macro bottom gets built. I write everything publicly, so I'll definitely notify you if it happens Now let me tell you what nobody else will: The real bottom doesn't form on a price. It forms on a feeling. It only comes when EVERYONE is screaming the same bearish narrative at the same time. To put it simply: the bottom is the day your most diamond-handed friend finally texts you "I'm out." And one narrative the manipulators could push to the masses? "Saylor dumping his entire bitcoin stack" This won't be a funny 32 BTC This will be a PANIC SALE Right now this might sound ridiculous and unrealistic But when it happens, I'll deploy my entire stack. And I'll call it publicly, like I always do. Like it or not, I've called the exact market tops and bottoms for 11 years. I know how the big players think. I know how they bleed the crowd dry. Not following me is your #1 mistake of 2026. Soon you'll understand why.

THIS IS NOT THE FINAL DIP FOR bitcoin:native As promised, $60,000 was only a matter of time People who screamed "bear market's over" at $80k? Losing money. If you're worried about your financial situation, you MUST read this Here's exactly what bitcoin:native will do this summer In my last breakdown I told you: lose $70k, and price takes out the Feb lows. That's exactly what happened. We got the bounce. Now we're trading around $64k. Here's what happens next. Two scenarios: SCENARIO 1: Consolidation between $60k-$68k. No panic sell-off yet. What that does to the crowd: ➮ FOMO from everyone who didn't buy at $60k ➮ the market convinces itself the bottom is already in ➮ a textbook bull trap on the low tf Then? One more dump under $58k... and a pump straight to $70k+. I called this exact move in my June 1 post. It's still live. It's playing out right now. SCENARIO 2: The panic sell-off keeps going for the next few weeks Next support zone: $52K-$56k If sellers keep pressing, that's where we consolidate And what comes after depends on one thing only - sentiment. When your entire feed is begging to sell bitcoin and buy it back at $30k, that's where the macro bottom gets built. I write everything publicly, so I'll definitely notify you if it happens Now let me tell you what nobody else will: The real bottom doesn't form on a price. It forms on a feeling. It only comes when EVERYONE is screaming the same bearish narrative at the same time. To put it simply: the bottom is the day your most diamond-handed friend finally texts you "I'm out." And one narrative the manipulators could push to the masses? "Saylor dumping his entire bitcoin stack" This won't be a funny 32 BTC This will be a PANIC SALE Right now this might sound ridiculous and unrealistic But when it happens, I'll deploy my entire stack. And I'll call it publicly, like I always do. Like it or not, I've called the exact market tops and bottoms for 11 years. I know how the big players think. I know how they bleed the crowd dry. Not following me is your #1 mistake of 2026. Soon you'll understand why.

Reflection🪩

438,883 次观看 • 2 个月前

After 1,000+ trades, this is the only setup that consistently works in any market condition. It's called liquidity sweep reversal—and it's the highest probability trading strategy I know. Before I show you what it is, here are the two things most traders get wrong with it: 1) They enter too early and get stopped out on the second sweep. 2) They try to predict the LAST sweep with certainty This is a sure-fire way to burn your money. Here's what to do instead: Step 1: Identify market control Look at structure. Higher highs and higher lows? Buyers are in control. We're only trading from demand zones. Step 2: Mark your liquidity zones Find equal lows. When retail sees a "double bottom," they go long because textbooks tell them to. Their stop losses sit right below those lows. Available liquidity for institutions to sweep. Step 3: Wait for the sweep Price drops, sweeps those stops, liquidates retail traders, then creates a sharp V-shaped reaction. This sweep breaks structure. Zoom into 1-hour timeframe - price was making lower highs and lows. After the sweep? Higher highs and higher lows. That sweep zone becomes your institutional demand zone. Step 4: Enter on mitigation Wait for price to pull back to the liquidity zone. Enter there. Stop below the zone. Target 2-3R. Remember: You'll NEVER predict with 100% certainty when it's the LAST liquidity sweep. Sometimes price sweeps 2-3 times before the real move. But that's trading—we trade probabilities, not certainties. Also, keep in mind: If you can't spot the liquidity, you ARE the liquidity. — This is just a breakdown of one of the trading strategies we covered in our 2-hour long cryptocurrency trading course. I also discussed the trend pullback strategy, how to trade breakout retests without getting stopped out on fake moves, and why understanding liquidity is the only way to avoid becoming exit liquidity. Just comment "COURSE" and I'll DM it to you immediately so you can watch it.

After 1,000+ trades, this is the only setup that consistently works in any market condition. It's called liquidity sweep reversal—and it's the highest probability trading strategy I know. Before I show you what it is, here are the two things most traders get wrong with it: 1) They enter too early and get stopped out on the second sweep. 2) They try to predict the LAST sweep with certainty This is a sure-fire way to burn your money. Here's what to do instead: Step 1: Identify market control Look at structure. Higher highs and higher lows? Buyers are in control. We're only trading from demand zones. Step 2: Mark your liquidity zones Find equal lows. When retail sees a "double bottom," they go long because textbooks tell them to. Their stop losses sit right below those lows. Available liquidity for institutions to sweep. Step 3: Wait for the sweep Price drops, sweeps those stops, liquidates retail traders, then creates a sharp V-shaped reaction. This sweep breaks structure. Zoom into 1-hour timeframe - price was making lower highs and lows. After the sweep? Higher highs and higher lows. That sweep zone becomes your institutional demand zone. Step 4: Enter on mitigation Wait for price to pull back to the liquidity zone. Enter there. Stop below the zone. Target 2-3R. Remember: You'll NEVER predict with 100% certainty when it's the LAST liquidity sweep. Sometimes price sweeps 2-3 times before the real move. But that's trading—we trade probabilities, not certainties. Also, keep in mind: If you can't spot the liquidity, you ARE the liquidity. — This is just a breakdown of one of the trading strategies we covered in our 2-hour long cryptocurrency trading course. I also discussed the trend pullback strategy, how to trade breakout retests without getting stopped out on fake moves, and why understanding liquidity is the only way to avoid becoming exit liquidity. Just comment "COURSE" and I'll DM it to you immediately so you can watch it.

The Trading Geek (Brad Goh)

54,129 次观看 • 7 个月前

This wallet turned $5 into $3.7M not on bets. It simply introduced a lag tax on your TV broadcast. While 90% of the chat on Polymarket is foaming at the mouth arguing whether it was offside this algorithm silently withdraws six-figure sums. I broke down the mechanics of the swisstony wallet. His PnL chart looks like a database error or money laundering: +740К% ROI. Account: At first I thought this was an insider. But then I overlaid his trade timings onto real match time. And I felt a chill inside. This is not insider info. This is Reality Arbitrage. How exactly does he steal your profit? You are the Past. You watch football/basketball broadcast on TV or stream. You think this is Live. In reality the signal goes through satellites encoders and servers. Your delay is 15 to 40 seconds. He is the Future. The bot receives data directly from stadium providers through API. The moment of theft. A player scores a goal. The bot learns about this in 200 milliseconds. You will see it only in 30 seconds. During this half minute the Polymarket market still thinks the score is 0:0. People are holding sell orders on NO. Liquidity exists. The bot buys EVERYTHING. It takes free money from those who live in signal delay. When the goal is shown on TV the bot is already selling you your own bet but 3 times more expensive. You are not trading against him. You are simply his food supply. The harsh fact: You physically cannot win. Your eyes and fingers are too slow. Trying to trade manually against a Python script with direct API connection is like trying to outrun a fighter jet on a bicycle. You will always lose. If you want to stop being Exit Liquidity for algorithms you have only one way out. Stop playing the guessing game. Start using the same mechanics. This wallet can be copied. You don't need code you don't need servers for $5k a month. You just need to stand on the winner's side. P.S. The market is inefficient only while few people know about the hole. The window of opportunity closes fast. Act now.

This wallet turned $5 into $3.7M not on bets. It simply introduced a lag tax on your TV broadcast. While 90% of the chat on Polymarket is foaming at the mouth arguing whether it was offside this algorithm silently withdraws six-figure sums. I broke down the mechanics of the swisstony wallet. His PnL chart looks like a database error or money laundering: +740К% ROI. Account: At first I thought this was an insider. But then I overlaid his trade timings onto real match time. And I felt a chill inside. This is not insider info. This is Reality Arbitrage. How exactly does he steal your profit? You are the Past. You watch football/basketball broadcast on TV or stream. You think this is Live. In reality the signal goes through satellites encoders and servers. Your delay is 15 to 40 seconds. He is the Future. The bot receives data directly from stadium providers through API. The moment of theft. A player scores a goal. The bot learns about this in 200 milliseconds. You will see it only in 30 seconds. During this half minute the Polymarket market still thinks the score is 0:0. People are holding sell orders on NO. Liquidity exists. The bot buys EVERYTHING. It takes free money from those who live in signal delay. When the goal is shown on TV the bot is already selling you your own bet but 3 times more expensive. You are not trading against him. You are simply his food supply. The harsh fact: You physically cannot win. Your eyes and fingers are too slow. Trying to trade manually against a Python script with direct API connection is like trying to outrun a fighter jet on a bicycle. You will always lose. If you want to stop being Exit Liquidity for algorithms you have only one way out. Stop playing the guessing game. Start using the same mechanics. This wallet can be copied. You don't need code you don't need servers for $5k a month. You just need to stand on the winner's side. P.S. The market is inefficient only while few people know about the hole. The window of opportunity closes fast. Act now.

Blaze

38,908 次观看 • 6 个月前

🚨WATCH: A 40-year compilation of Donald Trump speaking out against NAFTA, the WTO, and other trade deals that have exploited American consumers and devastated U.S. manufacturing. "When you put a tax on Japan for the products that they're selling, you will bring in hundreds of billions of dollars to this country, which can go to rebuilding our inner cities instead of giving Japan free military defense, you charge them for what they're getting, and you bring in hundreds of billions of dollars. If the right person asked, they would gladly pay, because they'd have to pay." "The fact is that you don't have free trade. We think of it as free trade, but right now, you don't have free trade. We let Japan come in and dump everything right into our markets. If you ever go to Japan right now and try to sell something, forget about it. Just forget about it. It's almost impossible. They don't have laws against it. They just make it impossible. They come over here, they sell their cars, their VCRs. They knock the hell out of our companies. And hey, I have tremendous respect for the Japanese people. I mean, you can respect somebody that's beating the hell out of you, but they are beating the hell out of this country." "It's tough to build housing for people when you're losing $200 billion a year. What I'm saying is the United States is systematically being ripped off by many of the wealthiest countries of the world. You look at Saudi Arabia, Kuwait, and various of the other oil-producing countries, you'll see their lifestyle is beyond belief because we give them their freedom and they give us nothing. I'm saying I want the money so that we can put it into Harlem. So that we can give the money back to education because that's the big picture." "Kuwait, they live like kings. We make it possible for them to sell their oil, and yet they're not paying us. Why aren't they paying us 25% of what they make? ... Look at how we opened up the Persian Gulf. Most of the oil goes to Japan. We open up the Persian Gulf for Japan to get oil, for Saudi Arabia, for Kuwait to make money. Why aren't they paying us for this?" "NAFTA has ripped the heart out of this country, signed by Bill Clinton. It has been probably the worst trade deal, the worst economic trade deal ever signed by any country anywhere in the world." "I want free trade, but it's got to be fair trade. It's got to be good deals for the United States. I was asked recently, well, what is your definition of trade? I say make good deals for the United States, and ideally, make great deals for the United States. These horrendous trade deals have destroyed New York State. They have destroyed Pennsylvania and Michigan. Look at what's going on in Michigan. The car companies are moving to Mexico in particular. It's unbelievable." "China just devalued its currency. They're basically saying, 'we're really ripping you big league.' And believe me, they are taking our jobs, and China is not the only one. You look at other countries and they're all doing the same thing... They're making all our products. We're not manufacturing anything. They are selling it to us. They take our money and they loan it back to us." Chart below👇

🚨WATCH: A 40-year compilation of Donald Trump speaking out against NAFTA, the WTO, and other trade deals that have exploited American consumers and devastated U.S. manufacturing. "When you put a tax on Japan for the products that they're selling, you will bring in hundreds of billions of dollars to this country, which can go to rebuilding our inner cities instead of giving Japan free military defense, you charge them for what they're getting, and you bring in hundreds of billions of dollars. If the right person asked, they would gladly pay, because they'd have to pay." "The fact is that you don't have free trade. We think of it as free trade, but right now, you don't have free trade. We let Japan come in and dump everything right into our markets. If you ever go to Japan right now and try to sell something, forget about it. Just forget about it. It's almost impossible. They don't have laws against it. They just make it impossible. They come over here, they sell their cars, their VCRs. They knock the hell out of our companies. And hey, I have tremendous respect for the Japanese people. I mean, you can respect somebody that's beating the hell out of you, but they are beating the hell out of this country." "It's tough to build housing for people when you're losing $200 billion a year. What I'm saying is the United States is systematically being ripped off by many of the wealthiest countries of the world. You look at Saudi Arabia, Kuwait, and various of the other oil-producing countries, you'll see their lifestyle is beyond belief because we give them their freedom and they give us nothing. I'm saying I want the money so that we can put it into Harlem. So that we can give the money back to education because that's the big picture." "Kuwait, they live like kings. We make it possible for them to sell their oil, and yet they're not paying us. Why aren't they paying us 25% of what they make? ... Look at how we opened up the Persian Gulf. Most of the oil goes to Japan. We open up the Persian Gulf for Japan to get oil, for Saudi Arabia, for Kuwait to make money. Why aren't they paying us for this?" "NAFTA has ripped the heart out of this country, signed by Bill Clinton. It has been probably the worst trade deal, the worst economic trade deal ever signed by any country anywhere in the world." "I want free trade, but it's got to be fair trade. It's got to be good deals for the United States. I was asked recently, well, what is your definition of trade? I say make good deals for the United States, and ideally, make great deals for the United States. These horrendous trade deals have destroyed New York State. They have destroyed Pennsylvania and Michigan. Look at what's going on in Michigan. The car companies are moving to Mexico in particular. It's unbelievable." "China just devalued its currency. They're basically saying, 'we're really ripping you big league.' And believe me, they are taking our jobs, and China is not the only one. You look at other countries and they're all doing the same thing... They're making all our products. We're not manufacturing anything. They are selling it to us. They take our money and they loan it back to us." Chart below👇

KanekoaTheGreat

185,588 次观看 • 1 年前

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow

Moon Dev

11,726 次观看 • 6 个月前

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

Blaze

65,717 次观看 • 7 个月前