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My Student Said Still Backtests Every Single Day Despite Making $100K/Month Backtesting is the process of testing your trading strategy on historical data to see how it would have performed in real market conditions. After backtesting hundreds of scenarios, Say discovered which session to trade (New York), which patterns...

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The Trading Geek (Brad Goh)

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19,508 просмотров • 6 месяцев назад •via X (Twitter)

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What Makes an A+++ Setup (According to a $291K Trader) A setup is the specific market condition where all your criteria align for a high-probability trade entry. Most traders don't understand the criteria that makes a solid entry. They take every setup that looks "good enough" — and end up with 1:2 or 1:3 risk-to-reward ratios, grinding for small wins. Here's the difference: An A+++ setup allowed my student Said to make $86,000 in one day from just 3 trades (with 1:18, 1:7, and 1:10 R/R). And $291k over the last 1.5 years. If there’s a mediocre setup, he won’t take it. Some weeks he only trades twice because he's waiting for perfection. In the 2-minute clip below, my student Said walks through the 5 elements that must align for an A+++ setup: 1) Inverse Fair Value Gap — An imbalance price needs to fill 2) Inducement — Liquidity sweep that triggers early traders 3) Imbalance — Gap in price delivery that draws price back 4) Protected Level — Previous inducement + break of structure creates an internal floor/ceiling 5) Break of Structure — Confirmation that one side is in control Said also looks for setups where you have TWO protected levels, not just one. This gives him the confidence to enter at the end of the fair value gap without waiting for additional confirmation. Stop loss goes just below the protected level — tight risk, massive reward potential. — This is just scratching the surface of what Said shared. In the full 1-hour interview, we also dove into: • The exact 3 trades that made him $86K in a single day (with timestamped chart breakdowns) • How he combined two different strategies into one profitable system • Why he still backtests 1-1.5 hours daily even after making $100K/month Just comment "INTERVIEW" and I'll DM you the full interview in the next few minutes.
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What Makes an A+++ Setup (According to a $291K Trader) A setup is the specific market condition where all your criteria align for a high-probability trade entry. Most traders don't understand the criteria that makes a solid entry. They take every setup that looks "good enough" — and end up with 1:2 or 1:3 risk-to-reward ratios, grinding for small wins. Here's the difference: An A+++ setup allowed my student Said to make $86,000 in one day from just 3 trades (with 1:18, 1:7, and 1:10 R/R). And $291k over the last 1.5 years. If there’s a mediocre setup, he won’t take it. Some weeks he only trades twice because he's waiting for perfection. In the 2-minute clip below, my student Said walks through the 5 elements that must align for an A+++ setup: 1) Inverse Fair Value Gap — An imbalance price needs to fill 2) Inducement — Liquidity sweep that triggers early traders 3) Imbalance — Gap in price delivery that draws price back 4) Protected Level — Previous inducement + break of structure creates an internal floor/ceiling 5) Break of Structure — Confirmation that one side is in control Said also looks for setups where you have TWO protected levels, not just one. This gives him the confidence to enter at the end of the fair value gap without waiting for additional confirmation. Stop loss goes just below the protected level — tight risk, massive reward potential. — This is just scratching the surface of what Said shared. In the full 1-hour interview, we also dove into: • The exact 3 trades that made him $86K in a single day (with timestamped chart breakdowns) • How he combined two different strategies into one profitable system • Why he still backtests 1-1.5 hours daily even after making $100K/month Just comment "INTERVIEW" and I'll DM you the full interview in the next few minutes.

The Trading Geek (Brad Goh)

15,338 просмотров • 6 месяцев назад

Meet Said. He’s made $100k+ in one month from trading since joining the 1% club over 1 year ago. And in the video attached, he’ll walkthrough how he made $86k in one day using a simple, mechanical approach called the liquidity cycle strategy. But before we get into it, this is a 9-minute clip from our live 1-hour interview. In this interview, we also covered how he: • Maintains 54% win rate with 1:10+ risk-to-reward ratios • Combines two different strategies into one profitable system • Uses session timing to predict institutional order flow Just comment "INTERVIEW" and I'll DM you the uncut interview in the next few minutes. Now let's break down exactly what the liquidity cycle strategy is: Step #1: The Setup Pattern Said waits for three things — liquidity buildup, followed by inducement, followed by a break of structure. This three-step sequence tells him who's in control (buyers or sellers) and where the "smart money" is positioned. Step #2: The Entry Once he spots the pattern, he marks his demand/supply zones and waits. When price pulls back to mitigate these zones, he enters with laser precision — stop loss just below the "protected level." Step #3: The Exit Said doesn't hope for massive runners. He identifies the market's objective — is it targeting liquidity? Filling an imbalance? Then takes profit when price hits that objective and moves on.
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Meet Said. He’s made $100k+ in one month from trading since joining the 1% club over 1 year ago. And in the video attached, he’ll walkthrough how he made $86k in one day using a simple, mechanical approach called the liquidity cycle strategy. But before we get into it, this is a 9-minute clip from our live 1-hour interview. In this interview, we also covered how he: • Maintains 54% win rate with 1:10+ risk-to-reward ratios • Combines two different strategies into one profitable system • Uses session timing to predict institutional order flow Just comment "INTERVIEW" and I'll DM you the uncut interview in the next few minutes. Now let's break down exactly what the liquidity cycle strategy is: Step #1: The Setup Pattern Said waits for three things — liquidity buildup, followed by inducement, followed by a break of structure. This three-step sequence tells him who's in control (buyers or sellers) and where the "smart money" is positioned. Step #2: The Entry Once he spots the pattern, he marks his demand/supply zones and waits. When price pulls back to mitigate these zones, he enters with laser precision — stop loss just below the "protected level." Step #3: The Exit Said doesn't hope for massive runners. He identifies the market's objective — is it targeting liquidity? Filling an imbalance? Then takes profit when price hits that objective and moves on.

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17,441 просмотров • 6 месяцев назад

Dr. Tro asked me about my first major success story with implementing our health protocols for residents, I shared this story with him: "In 7 months we took him from using a wheelchair to walking out of our facility and getting in his wife's car on his own... We went to see him about a month later and he was out walking the dog when we came home." Here's how we did it: "I hired a personal trainer for him and I cut out sugar and gave him lean meat and veggies. He worked really hard when it came to exercising - even when the trainer wasn't there he'd ask the caregivers to help him over to the rails so he could pull himself up and try to stand again." This is what sparked my interest in the first place. Because if we could do this for one resident, why couldn't we do it for the rest? -- This is just scratching the surface of the interview with DoctorTro. In our full 1 hour conversation, we also dove into: • Why plant-based nutrition showed zero results compared to high-protein keto protocols • How exercise with oxygen therapy (EWOT) reverses dementia symptoms in weeks • Why most people move into assisted living too early (and what signs to really look for) Just comment "INTERVIEW" and I'll DM you the full interview in the next few minutes.
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Dr. Tro asked me about my first major success story with implementing our health protocols for residents, I shared this story with him: "In 7 months we took him from using a wheelchair to walking out of our facility and getting in his wife's car on his own... We went to see him about a month later and he was out walking the dog when we came home." Here's how we did it: "I hired a personal trainer for him and I cut out sugar and gave him lean meat and veggies. He worked really hard when it came to exercising - even when the trainer wasn't there he'd ask the caregivers to help him over to the rails so he could pull himself up and try to stand again." This is what sparked my interest in the first place. Because if we could do this for one resident, why couldn't we do it for the rest? -- This is just scratching the surface of the interview with DoctorTro. In our full 1 hour conversation, we also dove into: • Why plant-based nutrition showed zero results compared to high-protein keto protocols • How exercise with oxygen therapy (EWOT) reverses dementia symptoms in weeks • Why most people move into assisted living too early (and what signs to really look for) Just comment "INTERVIEW" and I'll DM you the full interview in the next few minutes.

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A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:
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A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:

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December 16, 2016. Obama does an hour long interview with NPR. The entire interview is stunning for a few reasons. 1. Almost everything Obama says is in direct contradiction to the intelligence report on the election that he had just recently received. The majority of this interview was spent discussing Russia's election interference to help Trump. We now know that Obama had just received a report informing him that did not happen. 2. It was extremely obvious throughout the entire interview that Obama was lying and that he knew the significance of what he was doing. 3. Obama finished the interview, left and returned to talk about a new "Intelligence Assessment" that would be dropping before Trump's inauguration. He was priming the media to be on the look out for the bogus report he had just asked for. It's impossible to overstate the magnitude of what Obama was doing during this interview. And of course he turned to NPR to help him do his dirty work.
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December 16, 2016. Obama does an hour long interview with NPR. The entire interview is stunning for a few reasons. 1. Almost everything Obama says is in direct contradiction to the intelligence report on the election that he had just recently received. The majority of this interview was spent discussing Russia's election interference to help Trump. We now know that Obama had just received a report informing him that did not happen. 2. It was extremely obvious throughout the entire interview that Obama was lying and that he knew the significance of what he was doing. 3. Obama finished the interview, left and returned to talk about a new "Intelligence Assessment" that would be dropping before Trump's inauguration. He was priming the media to be on the look out for the bogus report he had just asked for. It's impossible to overstate the magnitude of what Obama was doing during this interview. And of course he turned to NPR to help him do his dirty work.

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American “I was a Turning Point student through high school and college” She explains every year there is this massive event, and at this event “Charlie walked around to every single table, shook every single person's hand, and asked every single one of us a little bit about ourselves. Every single person.” She explains how each year the event kept growing, from a few hundred, to 700+ students And what did Charlie Kirk do? “He did the same thing, walked around to every single table. Shook every single student's hand, and got to know us. Because he cared” “He was one of the most important men, if not the most important man, in right-wing politics because he was at the Grassroots level. He's very different than politicians who they sit in Capitol Hill or they sit in their offices, but they don't really connect with the youth. Right. The voters. Charlie was different. Very different. And that's why he was so loved” She talks more about Charlie. Every single person should listen to this

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A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:
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A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

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This guy took a brand‑new app to #1 overall in the App Store and 1,000,000 downloads in under 3 days. For the FIRST TIME, he breaks down exactly how he did it, and we’re posting the full, RAW conversation right here on X To be clear, this is his first and only podcast on this playbook... And a little more context: this wasn’t luck. Jibran has taken 4 different apps to #1 in the App Store, including one that did $1.5M in 3 days and outranked ChatGPT He did it with a handful of creators, zero paid ads, and a product philosophy that blew my mind Here’s the core of what he taught me: > Your product and your marketing are not two separate things; they're the same thing. > What goes viral on TikTok is product validation. > What you learn from a hit video should change your UI, your App Store screenshots, your icon He ran that loop obsessively.. For his 2025 Wrapped app, he spent hundreds of hours in Figma asking one question: > “How does this look on TikTok?” Then he tracked: 1. What users screenshotted 2. What they shared to Snapchat 3. What slide they dropped off on The result was a #1 overall app in the App Store. Above EVERYTHING. Now he’s building because he realized he was spending hours every day doom‑scrolling TikTok looking for hooks and formats that worked So he built an AI to do it for him: > You tell it your app. > It tells you what to post, what’s trending in your niche, and what’s wrong with your existing videos. We go deep on all of it in this conversation. If you run a consumer app, this is the most useful 49 minutes you’ll spend this week

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Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t “guessing where the chart will go.” This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:
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Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t “guessing where the chart will go.” This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

cvxv666

281,266 просмотров • 2 месяцев назад

This 1-hour seminar from Mark Douglas will do more for your trading results than 3 years of losing trades, 10 books on strategy, and every paid course you've ever bought combined. (BOOKMARK) Watch Part 4 today. This is where he gives you the exact exercise to rewire how you trade. Mark Douglas - Trading Psychology Seminar. Part 4 of 4. 1 hour. Must Watch. The goal was never to predict the market. It was to get to a place where being wrong doesn't cost you anything extra.
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This 1-hour seminar from Mark Douglas will do more for your trading results than 3 years of losing trades, 10 books on strategy, and every paid course you've ever bought combined. (BOOKMARK) Watch Part 4 today. This is where he gives you the exact exercise to rewire how you trade. Mark Douglas - Trading Psychology Seminar. Part 4 of 4. 1 hour. Must Watch. The goal was never to predict the market. It was to get to a place where being wrong doesn't cost you anything extra.

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23,163 просмотров • 3 месяцев назад

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:
0:36

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

cvxv666

202,247 просмотров • 2 месяцев назад

'Lewis has the full support of everybody at Maranello. I will be supportive every single day with Lewis.' Q: I remember the guys at Mercedes telling me Lewis is incredibly structured in his life. Is he a good motivator for Ferrari? Have you seen him have that positive effect on the people? "This, for sure. But he is also emotional, it means that its also us to support him when he is struggling and we also need to push him when he is struggling. Spa and Budapest were difficult for him, but he can be sure that he has the full support of everybody at Maranello to recover, to be back. I'm really convinced that he will do it and we have to be supportive with him on every single day and I will be supportive every single day with Lewis."
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'Lewis has the full support of everybody at Maranello. I will be supportive every single day with Lewis.' Q: I remember the guys at Mercedes telling me Lewis is incredibly structured in his life. Is he a good motivator for Ferrari? Have you seen him have that positive effect on the people? "This, for sure. But he is also emotional, it means that its also us to support him when he is struggling and we also need to push him when he is struggling. Spa and Budapest were difficult for him, but he can be sure that he has the full support of everybody at Maranello to recover, to be back. I'm really convinced that he will do it and we have to be supportive with him on every single day and I will be supportive every single day with Lewis."

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54,790 просмотров • 10 месяцев назад

Fans met Harry in a café in Paris : They asked him if he could talk and he replied that it was no problem. They told him they didn't want a photo but just to say thank you for what he's created, the tour, the albums. One of them showed off a tattoo, which is related to an album. The second fan talked about coming to Paris for a job interview and started to get interested to find out how it went. They told him they hadn't taken any photos of him and wouldn't say exactly where he was. Harry said he appreciated that. When he left, Harry said "Au revoir" (Goodbye) in French. Before he left, one of them asked about the new album and he said "Hmmm 🤔" - February 21, 2024
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Fans met Harry in a café in Paris : They asked him if he could talk and he replied that it was no problem. They told him they didn't want a photo but just to say thank you for what he's created, the tour, the albums. One of them showed off a tattoo, which is related to an album. The second fan talked about coming to Paris for a job interview and started to get interested to find out how it went. They told him they hadn't taken any photos of him and wouldn't say exactly where he was. Harry said he appreciated that. When he left, Harry said "Au revoir" (Goodbye) in French. Before he left, one of them asked about the new album and he said "Hmmm 🤔" - February 21, 2024

HSNews

360,089 просмотров • 2 лет назад

Stanford student fed Claude a book with 151 trading strategies and turned $87 into $213,000 in one week His account is 0xB27 He gave him one task: -find an edge on Polymarket BTC markets Claude analyzed 550 mathematical formulas in 2 minutes and said that most of them don’t work in prediction markets and explained why what remained: → momentum on 5m/15m/1h → binary markets systematically overestimate short-term BTC volatility → there is a gap between what the market thinks and what the data shows He wrote a bot over the weekend from March 4 to today: → 3,426 trades → biggest win: $11,900 on a single position → the account is public, you can check it Profile: “I’m not a trader, I didn’t have trading education, I had a book and Claude”-he says cost of entry: one book and a few prompts The link to the book will be under the post 👇🏼 Just insert PDF files into Claude and create your own bot Add this post to bookmarks so you don’t lose this PDF If you’re interested in which 5 prompts he used to set up the bot Like, repost, comment STANFORD and I’ll send them to you in DM The main thing is to be subscribed so I can DM you
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Stanford student fed Claude a book with 151 trading strategies and turned $87 into $213,000 in one week His account is 0xB27 He gave him one task: -find an edge on Polymarket BTC markets Claude analyzed 550 mathematical formulas in 2 minutes and said that most of them don’t work in prediction markets and explained why what remained: → momentum on 5m/15m/1h → binary markets systematically overestimate short-term BTC volatility → there is a gap between what the market thinks and what the data shows He wrote a bot over the weekend from March 4 to today: → 3,426 trades → biggest win: $11,900 on a single position → the account is public, you can check it Profile: “I’m not a trader, I didn’t have trading education, I had a book and Claude”-he says cost of entry: one book and a few prompts The link to the book will be under the post 👇🏼 Just insert PDF files into Claude and create your own bot Add this post to bookmarks so you don’t lose this PDF If you’re interested in which 5 prompts he used to set up the bot Like, repost, comment STANFORD and I’ll send them to you in DM The main thing is to be subscribed so I can DM you

AdiiX

47,280 просмотров • 3 месяцев назад

This trader turned $76 into +$4,304 with a single bet on the weather market! Account: His PnL in March: -$1,000. His PnL now: +$12,000. Best trades: $76 -> $4,304 $19 -> $1,370 $52 -> $1,016 Main strategy: buying low-probability outcomes. This approach can lead to 50 losses in a row, but weather markets are full of inefficiencies. That’s why he sticks to his strategy, and in the end it pays off. With this approach, win rate doesn’t matter. One successful 1¢ trade can generate huge profit even if the previous 49 trades were losses. Simple math. The lower the probability of the outcome, the smaller his position size. Perfect use of the Kelly Criterion allows him to avoid going negative from incorrect sizing. Result: +$10,000 in just one month! To profit from this strategy, just set up copy trading on his account:
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This trader turned $76 into +$4,304 with a single bet on the weather market! Account: His PnL in March: -$1,000. His PnL now: +$12,000. Best trades: $76 -> $4,304 $19 -> $1,370 $52 -> $1,016 Main strategy: buying low-probability outcomes. This approach can lead to 50 losses in a row, but weather markets are full of inefficiencies. That’s why he sticks to his strategy, and in the end it pays off. With this approach, win rate doesn’t matter. One successful 1¢ trade can generate huge profit even if the previous 49 trades were losses. Simple math. The lower the probability of the outcome, the smaller his position size. Perfect use of the Kelly Criterion allows him to avoid going negative from incorrect sizing. Result: +$10,000 in just one month! To profit from this strategy, just set up copy trading on his account:

me_cool_off

12,213 просмотров • 2 месяцев назад

Clement Ang achieved 150%+ returns this year in the USIC. One of my favorite follows, Clement is inpsired by the likes of Minvervini, Gil Morales, Jeff Sun, Oliver Kell, Qullamaggie, and others. Here are 6 great takeaways from his recent Traderlion Interview: 1. Never Giving Up After a mix of shorting along with overtrading, revenge trading, and trading on tilt, Clement found himself in a 60-70% drawdown. He distinctly remembers sitting at his condo pool, having no idea how he would recover. Contemplating if he should give up, and if trading was for him for not. He took a 1-2 month break and rebounded by studying how stocks move, building his own modelbook, studying top traders, and coming up with rules for himself. 2. Loss Analysis and Stopping Drawdowns At a dinner with USIC top performer Christian Flanders, Clement was recommended to 1) cut size when losing until you find traction again, and 2) do monthly loss adjustment exercises. "Hypothetically, if you change all those negative months to just -5%, what would your eventual return be?" Doing this, Clement saw the importance of minimizing drawdown. This was a turning point for Clement. He decided to join the USIC again for 2025, and his returns relfected the drawdown control this time around. 3. Calculating Agregate Profit and Loss for Trades He Shouldn't Have Taken Clement took a total of 1,294 trades in 2025. Out of the 1,294, he found he was able to back out of about 500 trades that were not proper trades. When calculating the aggregate PnL for those trades, trades taken for reasons such as there was no setup but he felt FOMO, or an overtrading problem, he found it was a huge chunk. By removing for those 500 trades, he saw it boosted his profitability. Clement suggests to calculate what your returns would be if you removed for those trades. This is to bring into your consciousness not to make those same mistakes again. 4. Weekly and Monthly Reviews Leaving his corporate job and becoming a full time trader in 2025, it imposed more pressure on him to perform. The pressure spurred him to take his reviews very seriously. With every trade he logs, he reviews them on a weekly basis. On each trade, you want to be tagging. “Which trades are mistakes, and what exactly is the mistake. Which trades did you execute well, and why - was it a perfect steup, what was the market like at the time.” At the end of the month, do a monthly write up. Doing so, you can really take a look back and see how you performed against your opportunity set. 5. Study Great Traders and Market History Clement noticed the top traders say the same thing but in a different manner. Clement found traders he wanted to study. Gil Morales, Mark Minvervini, etc. Picked up on not just their methodologies, but also psychologically what they are thinking. Found commonalities, and implemented them into his own system. And with AI, Clement found it is easy to go back and read about market history. “History does not repeat, but it always rhymes. There are a lot of resources online, great X accounts that do fantastic hisoritcal charts. Go there, take it and study it. Run the history of the stock and why it went up, through an AI model, and build examples. This is a form of a modelbook as well." Study model book stocks and their historical precedence. 6. You Can Make Mistakes and Still Outperform Despite missing big winners in 2025, $BE $IREN $MP, he only needed a couple of good winners to put on a good year. He advises traders to think longer term. "You have 252 trading days in the year to string together a good return. So don't be in a rush, expecially if you are not finding any traction, or trading poorly." - Clement Ang If you are not already following him, highly recommend doing so. Witnessed him call out early and navigate the recent metals trade beautifully. Has great information and a great attitude towards the markets. And take time to listen to his interview in depth. It's a great listen.
0:37

Clement Ang achieved 150%+ returns this year in the USIC. One of my favorite follows, Clement is inpsired by the likes of Minvervini, Gil Morales, Jeff Sun, Oliver Kell, Qullamaggie, and others. Here are 6 great takeaways from his recent Traderlion Interview: 1. Never Giving Up After a mix of shorting along with overtrading, revenge trading, and trading on tilt, Clement found himself in a 60-70% drawdown. He distinctly remembers sitting at his condo pool, having no idea how he would recover. Contemplating if he should give up, and if trading was for him for not. He took a 1-2 month break and rebounded by studying how stocks move, building his own modelbook, studying top traders, and coming up with rules for himself. 2. Loss Analysis and Stopping Drawdowns At a dinner with USIC top performer Christian Flanders, Clement was recommended to 1) cut size when losing until you find traction again, and 2) do monthly loss adjustment exercises. "Hypothetically, if you change all those negative months to just -5%, what would your eventual return be?" Doing this, Clement saw the importance of minimizing drawdown. This was a turning point for Clement. He decided to join the USIC again for 2025, and his returns relfected the drawdown control this time around. 3. Calculating Agregate Profit and Loss for Trades He Shouldn't Have Taken Clement took a total of 1,294 trades in 2025. Out of the 1,294, he found he was able to back out of about 500 trades that were not proper trades. When calculating the aggregate PnL for those trades, trades taken for reasons such as there was no setup but he felt FOMO, or an overtrading problem, he found it was a huge chunk. By removing for those 500 trades, he saw it boosted his profitability. Clement suggests to calculate what your returns would be if you removed for those trades. This is to bring into your consciousness not to make those same mistakes again. 4. Weekly and Monthly Reviews Leaving his corporate job and becoming a full time trader in 2025, it imposed more pressure on him to perform. The pressure spurred him to take his reviews very seriously. With every trade he logs, he reviews them on a weekly basis. On each trade, you want to be tagging. “Which trades are mistakes, and what exactly is the mistake. Which trades did you execute well, and why - was it a perfect steup, what was the market like at the time.” At the end of the month, do a monthly write up. Doing so, you can really take a look back and see how you performed against your opportunity set. 5. Study Great Traders and Market History Clement noticed the top traders say the same thing but in a different manner. Clement found traders he wanted to study. Gil Morales, Mark Minvervini, etc. Picked up on not just their methodologies, but also psychologically what they are thinking. Found commonalities, and implemented them into his own system. And with AI, Clement found it is easy to go back and read about market history. “History does not repeat, but it always rhymes. There are a lot of resources online, great X accounts that do fantastic hisoritcal charts. Go there, take it and study it. Run the history of the stock and why it went up, through an AI model, and build examples. This is a form of a modelbook as well." Study model book stocks and their historical precedence. 6. You Can Make Mistakes and Still Outperform Despite missing big winners in 2025, $BE $IREN $MP, he only needed a couple of good winners to put on a good year. He advises traders to think longer term. "You have 252 trading days in the year to string together a good return. So don't be in a rush, expecially if you are not finding any traction, or trading poorly." - Clement Ang If you are not already following him, highly recommend doing so. Witnessed him call out early and navigate the recent metals trade beautifully. Has great information and a great attitude towards the markets. And take time to listen to his interview in depth. It's a great listen.

Lone

21,449 просмотров • 5 месяцев назад

Understand this: The movies and shows about the crucifixion have been tame when compared to what He actually went through. Even The Passion Of The Christ was forced to hold back a little in order to avoid an X rating. Crucifixion was, and still is, arguably the most excruciating death someone can experience. The night before in Gethsemane, He was sweating blood. This is known as hematidrosis. This would have caused His skin to become extremely sensitive, thus making the beatings to come even worse. The fear He felt was the beginning of His feeling the weight of our iniquities being laid on Him. Yet - in this moment, He didn’t demand that the Father take it from Him. He only asked for the cup to pass Him over if it was within the Father’s will. Up next came the Cat of Nine Tails, or a Roman Flagrum. This was a weapon with long leather “tails”, each embedded with sharp bones and metal. He was flogged 39 times as Jewish law mandated “40 minus one”, because 40 was said to kill a man. This flogging wasn’t like being punished by your father’s leather belt. Every strike tore flesh, every strike exposed muscle. Every strike exposed nerve endings. Every strike tore flesh to the bone. This would be like getting struck with razor blades over and over again, leading to hypovolemic shock from blood loss. Oh, and the crown of thorns? These weren’t rose thorns. These were thorns which were 2-3 inches long. Beaten into his skull. These thorns would have pierced his skull, tripping the trigeminal nerve, thus causing unimaginable pain and even more blood loss from the dozens of head wounds. At this point, extreme nausea and dizziness would begin to set in. What came next? Carrying the cross. Which weighed around 300lbs. This would be like carrying two full kegs on your back. Splinters and wood grating against the open flesh on His back. And He had to carry it 650 yards, or close to a half mile. Imagine carrying a log on your back after being skinned alive. Up next? He was nailed to the cross with spikes 5-7in in length. Piercing His wrists - this no doubt pierced the median nerve, causing extreme burning sensations up and down His arms. A spike was driven through his ankles - severing nerves and tendons. This would have felt like standing on broken glass every time He pushed Himself up in order to breathe. He suffered for 6 hours. His chest muscles collapsing, making every single breath a fight for life. His shoulders were dislocated, His arms stretching unnaturally long. His heart was struggling to pump blood. He was extremely dehydrated, His lips cracking. His heart more than likely literally ruptured from the stress. And on top of all of that, He had to feel a separation with the Father for a period of time in order to REALLY bear the weight of our sin. He took up this burden for ALL sin before Him, and ALL sin which came after Him. HE DID IT ALL FOR US. To free us. To defeat sin. To give us a pathway to the Kingdom. Every sin we commit is exactly why He had to do it. And the real kicker? He knew what was coming when He rode into Jerusalem … and He didn’t turn around. He kept going. For us.
0:33

Understand this: The movies and shows about the crucifixion have been tame when compared to what He actually went through. Even The Passion Of The Christ was forced to hold back a little in order to avoid an X rating. Crucifixion was, and still is, arguably the most excruciating death someone can experience. The night before in Gethsemane, He was sweating blood. This is known as hematidrosis. This would have caused His skin to become extremely sensitive, thus making the beatings to come even worse. The fear He felt was the beginning of His feeling the weight of our iniquities being laid on Him. Yet - in this moment, He didn’t demand that the Father take it from Him. He only asked for the cup to pass Him over if it was within the Father’s will. Up next came the Cat of Nine Tails, or a Roman Flagrum. This was a weapon with long leather “tails”, each embedded with sharp bones and metal. He was flogged 39 times as Jewish law mandated “40 minus one”, because 40 was said to kill a man. This flogging wasn’t like being punished by your father’s leather belt. Every strike tore flesh, every strike exposed muscle. Every strike exposed nerve endings. Every strike tore flesh to the bone. This would be like getting struck with razor blades over and over again, leading to hypovolemic shock from blood loss. Oh, and the crown of thorns? These weren’t rose thorns. These were thorns which were 2-3 inches long. Beaten into his skull. These thorns would have pierced his skull, tripping the trigeminal nerve, thus causing unimaginable pain and even more blood loss from the dozens of head wounds. At this point, extreme nausea and dizziness would begin to set in. What came next? Carrying the cross. Which weighed around 300lbs. This would be like carrying two full kegs on your back. Splinters and wood grating against the open flesh on His back. And He had to carry it 650 yards, or close to a half mile. Imagine carrying a log on your back after being skinned alive. Up next? He was nailed to the cross with spikes 5-7in in length. Piercing His wrists - this no doubt pierced the median nerve, causing extreme burning sensations up and down His arms. A spike was driven through his ankles - severing nerves and tendons. This would have felt like standing on broken glass every time He pushed Himself up in order to breathe. He suffered for 6 hours. His chest muscles collapsing, making every single breath a fight for life. His shoulders were dislocated, His arms stretching unnaturally long. His heart was struggling to pump blood. He was extremely dehydrated, His lips cracking. His heart more than likely literally ruptured from the stress. And on top of all of that, He had to feel a separation with the Father for a period of time in order to REALLY bear the weight of our sin. He took up this burden for ALL sin before Him, and ALL sin which came after Him. HE DID IT ALL FOR US. To free us. To defeat sin. To give us a pathway to the Kingdom. Every sin we commit is exactly why He had to do it. And the real kicker? He knew what was coming when He rode into Jerusalem … and He didn’t turn around. He kept going. For us.

Paul Fleuret

1,210,945 просмотров • 3 месяцев назад

A guy was sitting in a trader chat complaining for the 3rd month straight about his results being basically zero Someone dropped him a link to a wallet 1 bot, $47K in a month, 860 trades per week. He asked: is this even legal? They replied: this is public data, you could have found it yourself Here is what is actually happening 93% of Polymarket users trade by hand. The other 7% automated the process, and they are the ones pulling $11K to $120K per month. And 5% of those 7 never wrote a single line of code. They just copy trades from top wallets through on-chain data The blockchain shows every trade from every account The bot does not sleep, does not tilt, and processes data faster than any human: This is not a question of talent. It is a question of tools. And the tools already exist. No need to build anything from scratch That guy from the chat is now in that 7%. All he did was stop clicking by hand
0:23

A guy was sitting in a trader chat complaining for the 3rd month straight about his results being basically zero Someone dropped him a link to a wallet 1 bot, $47K in a month, 860 trades per week. He asked: is this even legal? They replied: this is public data, you could have found it yourself Here is what is actually happening 93% of Polymarket users trade by hand. The other 7% automated the process, and they are the ones pulling $11K to $120K per month. And 5% of those 7 never wrote a single line of code. They just copy trades from top wallets through on-chain data The blockchain shows every trade from every account The bot does not sleep, does not tilt, and processes data faster than any human: This is not a question of talent. It is a question of tools. And the tools already exist. No need to build anything from scratch That guy from the chat is now in that 7%. All he did was stop clicking by hand

Blaze

36,941 просмотров • 4 месяцев назад