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🚨 STUDY POLYMARKET ARBITRAGE This wallet made $20,000+ profit in just 2 months. While biggest single win is only $1,535. Read that again. Because the gap between those two numbers is the whole lesson. If your biggest win is $1,500 but your total profit is twenty grand, you didn't...

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Punisher

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11,469 Aufrufe • vor 2 Monaten •via X (Twitter)

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This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange
0:36

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

VALIX

98,892 Aufrufe • vor 3 Monaten

I turned a 2k Robinhood account into 92k so far. I started in April. The goal is 100k asap. This was not luck. This was not one trade. This was not a viral play or some secret indicator nobody knows about. This was hours on the chart. Red days. Missed moves. Small wins stacked over and over until they stopped being small. Most people blow accounts because they want excitement. I wanted consistency. I treated this like a skill not a lottery ticket. I cut losers fast. I sized down when I was off. I pressed when I was locked in. I respected risk more than profit. The hardest part was not learning setups. It was controlling myself. Not overtrading. Not chasing. Not revenge trading after a loss. Not getting cocky after a win. Your biggest enemy in the market is not the market. It is you. I did not start with a big account. I did not wait until everything was perfect. I started with what I had and focused on execution. Good entries. Clean exits. Same process every day. Boring works. People see the number and want the result without the reps. They want the screenshot without the screen time. They want the money without the discipline. That is not how this works. The goal is 100k and it is close. But the real win is knowing I can repeat this. Because the process is real. The habits are real. The patience is real. If you are sitting on the sidelines scared to start with a small account understand this. Growth compounds when you take it seriously. Start small. Stay consistent. Protect capital. Let time and discipline do the heavy lifting. This is just the beginning.
2:07

I turned a 2k Robinhood account into 92k so far. I started in April. The goal is 100k asap. This was not luck. This was not one trade. This was not a viral play or some secret indicator nobody knows about. This was hours on the chart. Red days. Missed moves. Small wins stacked over and over until they stopped being small. Most people blow accounts because they want excitement. I wanted consistency. I treated this like a skill not a lottery ticket. I cut losers fast. I sized down when I was off. I pressed when I was locked in. I respected risk more than profit. The hardest part was not learning setups. It was controlling myself. Not overtrading. Not chasing. Not revenge trading after a loss. Not getting cocky after a win. Your biggest enemy in the market is not the market. It is you. I did not start with a big account. I did not wait until everything was perfect. I started with what I had and focused on execution. Good entries. Clean exits. Same process every day. Boring works. People see the number and want the result without the reps. They want the screenshot without the screen time. They want the money without the discipline. That is not how this works. The goal is 100k and it is close. But the real win is knowing I can repeat this. Because the process is real. The habits are real. The patience is real. If you are sitting on the sidelines scared to start with a small account understand this. Growth compounds when you take it seriously. Start small. Stay consistent. Protect capital. Let time and discipline do the heavy lifting. This is just the beginning.

CooperBaggs 💰🍞

142,285 Aufrufe • vor 7 Monaten

If you think you need a big bankroll for a Polymarket bot - this guy made $160,000 with an average bet size of just $200. If you think you need to predict the future to run a profitable Polymarket bot - this guy makes money with pure mathematics. If you think it’s cap - every trade is on-chain, go check it yourself. Bot wallet: He doesn’t care where the price of BTC is going. All he does is methodically extract edge from the numbers. Both YES and NO shares will always be worth exactly $1 at market expiration. But are they worth exactly $1 while the market is still open? The answer is no. For example: YES at 70¢ + NO at 25¢ = 95¢ total. That 5¢ gap is free money. Repeat it ten thousand times.+$166,000 in two months. His active bankroll never exceeded a $10k, and risk per trade stayed at $200–300 the entire time. Mathematical. Methodical. Almost zero risk. This is how you actually get to the top of the leaderboard - not by guessing the future, but by exploiting inefficiencies. Want the full guide on how to build one? Save the post and read the article. Want to start copying the trades of a ready-made bot right now? Use this copy-trading solution:
0:30

If you think you need a big bankroll for a Polymarket bot - this guy made $160,000 with an average bet size of just $200. If you think you need to predict the future to run a profitable Polymarket bot - this guy makes money with pure mathematics. If you think it’s cap - every trade is on-chain, go check it yourself. Bot wallet: He doesn’t care where the price of BTC is going. All he does is methodically extract edge from the numbers. Both YES and NO shares will always be worth exactly $1 at market expiration. But are they worth exactly $1 while the market is still open? The answer is no. For example: YES at 70¢ + NO at 25¢ = 95¢ total. That 5¢ gap is free money. Repeat it ten thousand times.+$166,000 in two months. His active bankroll never exceeded a $10k, and risk per trade stayed at $200–300 the entire time. Mathematical. Methodical. Almost zero risk. This is how you actually get to the top of the leaderboard - not by guessing the future, but by exploiting inefficiencies. Want the full guide on how to build one? Save the post and read the article. Want to start copying the trades of a ready-made bot right now? Use this copy-trading solution:

cvxv666

48,661 Aufrufe • vor 4 Monaten

This trader used Claude to build a Quant Bot and made +$78,118 on Polymarket Since Apr 28, this wallet has been averaging about $1,953 in profit per day and roughly 28 trades per hour This trader has put in $17.3K in deposits and is now sitting at roughly +450.4% ROI 26,505 predictions with a 64% win rate in 40 days This trader’s Polymarket account: The bot strategy is simple: >It does not need one huge move >It keeps picking off markets where the price is still wrong >Gets in before the odds fully catch up and runs the same setup again and again across a very large number of entries >That is how a small edge turns into a steep PnL curve Most profitable trades: $171 → $1,840 (+$1,668 +972.74%) $110 → $1,757 (+$1,647 +1,497.37%) $72 → $1,306 (+$1,234 +1,711.59%) What makes this stand out is not one lucky hit. It is the same repeatable pricing mistake, attacked early and recycled over and over until the gap closes
0:26

This trader used Claude to build a Quant Bot and made +$78,118 on Polymarket Since Apr 28, this wallet has been averaging about $1,953 in profit per day and roughly 28 trades per hour This trader has put in $17.3K in deposits and is now sitting at roughly +450.4% ROI 26,505 predictions with a 64% win rate in 40 days This trader’s Polymarket account: The bot strategy is simple: >It does not need one huge move >It keeps picking off markets where the price is still wrong >Gets in before the odds fully catch up and runs the same setup again and again across a very large number of entries >That is how a small edge turns into a steep PnL curve Most profitable trades: $171 → $1,840 (+$1,668 +972.74%) $110 → $1,757 (+$1,647 +1,497.37%) $72 → $1,306 (+$1,234 +1,711.59%) What makes this stand out is not one lucky hit. It is the same repeatable pricing mistake, attacked early and recycled over and over until the gap closes

Daniro

22,807 Aufrufe • vor 2 Monaten

the one thing i am most impressed about agents is how they can run the full production like if they were a big team they start the script and i see how they are surgically working on each part and validate at each stage... there is a researcher, there is a guy that iterates on the hook until it is perfect, it gives scores for each part, and won't jump into the next part until approved then it gets passed to another agent who takes care of the storyboard... this guy then sends it to another guy who create the visuals, another one who is an expert cinematographer, and so on... all this happening in front of my eyes, a team working together with minimal human input, and the only part i have to take care of, is the part i enjoy the most which is the visuals
0:20

the one thing i am most impressed about agents is how they can run the full production like if they were a big team they start the script and i see how they are surgically working on each part and validate at each stage... there is a researcher, there is a guy that iterates on the hook until it is perfect, it gives scores for each part, and won't jump into the next part until approved then it gets passed to another agent who takes care of the storyboard... this guy then sends it to another guy who create the visuals, another one who is an expert cinematographer, and so on... all this happening in front of my eyes, a team working together with minimal human input, and the only part i have to take care of, is the part i enjoy the most which is the visuals

Boring Always Bored

38,908 Aufrufe • vor 6 Monaten

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.
48:41

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.

Rossst.03

230,658 Aufrufe • vor 1 Monat

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears
0:26

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears

Daniro

54,383 Aufrufe • vor 2 Monaten

I asked ClawdBot to find every wallet on Polymarket younger than 60 days with profit above 1 million dollars. It came back with exactly 1 result. One wallet out of hundreds of thousands. I opened the profile and spent the next two hours trying to understand what I was looking at. I expected maybe 5 or 10 results. Tens of thousands of active wallets. Somebody must qualify. ClawdBot went quiet for a couple minutes. Result: 1. I reread the filters three times. Changed nothing. Ran it again. Same result: 1. Most wallets on Polymarket are in the red. The ones in profit usually sit at a few hundred or a few thousand dollars. Wallets above $100K in total profit are already rare. Above a million in under 60 days? This one. That is it. $1,613,408. In 57 days. Here is the profile if you want to check the numbers yourself: I started breaking it down week by week. $345,000 last week. Not his best week. Just a regular week. That is roughly $49,000 per day. Every day. Weekends included. $49,000 a day is $18 million annualized. That is a small hedge fund. I asked ClawdBot how many wallets on Polymarket have ever crossed a million in total profit. The answer was under 20. Most of them have been active for six months or longer. Some over a year. This one did it in 57 days. The average profitable wallet on Polymarket makes a few thousand over its entire lifetime. This one makes $345,000 in a week. At some point you stop calling this trading and start calling it something else. I went into the trade history. ClawdBot laid it all out on a timeline. He is not trading 50 markets at once. He picks a specific type and works only those. Few entries, but each one is not small. And here is the part I cannot figure out. Almost every entry happens between 2 and 4 AM EST. Not once or twice. Consistently. As if whatever signal he uses fires in the middle of the night when nobody is watching. I stared at the screen for two hours trying to see the logic. I think I am starting to see a pattern. But that is a separate breakdown. One query. One result. $1,613,408. After that I changed the parameters. Profit above $500K, age under 90 days. ClawdBot came back with 3 wallets. Breaking those down this week.
0:35

I asked ClawdBot to find every wallet on Polymarket younger than 60 days with profit above 1 million dollars. It came back with exactly 1 result. One wallet out of hundreds of thousands. I opened the profile and spent the next two hours trying to understand what I was looking at. I expected maybe 5 or 10 results. Tens of thousands of active wallets. Somebody must qualify. ClawdBot went quiet for a couple minutes. Result: 1. I reread the filters three times. Changed nothing. Ran it again. Same result: 1. Most wallets on Polymarket are in the red. The ones in profit usually sit at a few hundred or a few thousand dollars. Wallets above $100K in total profit are already rare. Above a million in under 60 days? This one. That is it. $1,613,408. In 57 days. Here is the profile if you want to check the numbers yourself: I started breaking it down week by week. $345,000 last week. Not his best week. Just a regular week. That is roughly $49,000 per day. Every day. Weekends included. $49,000 a day is $18 million annualized. That is a small hedge fund. I asked ClawdBot how many wallets on Polymarket have ever crossed a million in total profit. The answer was under 20. Most of them have been active for six months or longer. Some over a year. This one did it in 57 days. The average profitable wallet on Polymarket makes a few thousand over its entire lifetime. This one makes $345,000 in a week. At some point you stop calling this trading and start calling it something else. I went into the trade history. ClawdBot laid it all out on a timeline. He is not trading 50 markets at once. He picks a specific type and works only those. Few entries, but each one is not small. And here is the part I cannot figure out. Almost every entry happens between 2 and 4 AM EST. Not once or twice. Consistently. As if whatever signal he uses fires in the middle of the night when nobody is watching. I stared at the screen for two hours trying to see the logic. I think I am starting to see a pattern. But that is a separate breakdown. One query. One result. $1,613,408. After that I changed the parameters. Profit above $500K, age under 90 days. ClawdBot came back with 3 wallets. Breaking those down this week.

Blaze

95,926 Aufrufe • vor 6 Monaten

This trader used Claude to build a QUANT Bot and made +$46,727 on Polymarket 25,448 predictions in 21 days with a 56% win rate How is this wallet bringing in about $2,224 per day? The logic is simple: 1. It runs a high-frequency market-making approach on short crypto “Up / Down” markets 2. The setup is built around temporal arbitrage, partial hedging, and constant inventory rotation across nearby windows 3. It can start by accumulating one side when that side gets mispriced, then add the opposite side later if the market offers a better hedge The goal is not one perfect entry, but a steady process of capturing small pricing dislocations over and over again This trader’s Polymarket account: Most profitable trades: $430 → $3,000 (+$2,570 +597.7%) $2,469 → $4,288 (+$1,819 +73.7%) $549 → $2,347 (+$1,798 +327.5%) This kind of result only happens when the bot keeps finding the same edge and pressing it again and again
0:25

This trader used Claude to build a QUANT Bot and made +$46,727 on Polymarket 25,448 predictions in 21 days with a 56% win rate How is this wallet bringing in about $2,224 per day? The logic is simple: 1. It runs a high-frequency market-making approach on short crypto “Up / Down” markets 2. The setup is built around temporal arbitrage, partial hedging, and constant inventory rotation across nearby windows 3. It can start by accumulating one side when that side gets mispriced, then add the opposite side later if the market offers a better hedge The goal is not one perfect entry, but a steady process of capturing small pricing dislocations over and over again This trader’s Polymarket account: Most profitable trades: $430 → $3,000 (+$2,570 +597.7%) $2,469 → $4,288 (+$1,819 +73.7%) $549 → $2,347 (+$1,798 +327.5%) This kind of result only happens when the bot keeps finding the same edge and pressing it again and again

Daniro

25,203 Aufrufe • vor 1 Monat

This trader used Claude to build a QUANT Bot and made +$81,323 on Polymarket. 25,511 predictions in 54 days with a 46% win rate. How is this strategy generating around $1,506 per day? The logic is surprisingly simple: 1. It runs a fast market-making model focused only on short crypto “Up / Down” markets. 2. The system doesn’t need both sides at once. It starts accumulating one side when prices become dislocated, then completes the position later if the opposite side becomes cheap enough. 3. The edge comes from temporal arbitrage, partial hedging, and constant inventory rotation across nearby windows. Some of the biggest trades: • $1,277 → $2,516 (+$1,239 | +97.0%) • $1,059 → $2,205 (+$1,146 | +108.2%) • $1,372 → $2,487 (+$1,115 | +81.3%) The entire profit curve is built on one small edge, repeated thousands of times. 🎁 GIVEAWAY I’m giving away the complete Claude prompt and workflow behind this QUANT Bot. To enter: Follow Marry Evan Repost Comment “QUANT” I’ll DM a few winners in 24 hours.
0:25

This trader used Claude to build a QUANT Bot and made +$81,323 on Polymarket. 25,511 predictions in 54 days with a 46% win rate. How is this strategy generating around $1,506 per day? The logic is surprisingly simple: 1. It runs a fast market-making model focused only on short crypto “Up / Down” markets. 2. The system doesn’t need both sides at once. It starts accumulating one side when prices become dislocated, then completes the position later if the opposite side becomes cheap enough. 3. The edge comes from temporal arbitrage, partial hedging, and constant inventory rotation across nearby windows. Some of the biggest trades: • $1,277 → $2,516 (+$1,239 | +97.0%) • $1,059 → $2,205 (+$1,146 | +108.2%) • $1,372 → $2,487 (+$1,115 | +81.3%) The entire profit curve is built on one small edge, repeated thousands of times. 🎁 GIVEAWAY I’m giving away the complete Claude prompt and workflow behind this QUANT Bot. To enter: Follow Marry Evan Repost Comment “QUANT” I’ll DM a few winners in 24 hours.

Marry Evan

19,678 Aufrufe • vor 1 Monat

your agent has thirty tools. it calls two of them. the other twenty eight are not sitting idle somewhere. they are in the request, every request, and they are doing damage in two places at once. first the obvious one. tool schemas go into the prompt, and a schema is not a name. it is a description, a parameter list, types, required fields, an example. thirty of those is a few thousand tokens that ship with every single call, including the ones where the agent just says thanks and stops. you are paying rent on twenty eight tools that have never fired. second, and this is the one that costs more. when the request says cancel the order, the model picks by matching against everything available. four of your tools are plausible: cancel_order, refund_order, update_order, void_order. it is choosing among them based on the descriptions you wrote, one afternoon, months ago. every tool you add is another candidate in that shortlist. the twenty eight you never call are not neutral. they are noise in the one decision that determines whether the run works. > why it grows without anyone deciding to nobody adds thirty tools on purpose. you add one for a task, it works, it stays. six months later the registry is a catalogue and no one has ever removed anything, because removing a tool feels risky and adding one feels free. and there is no feedback telling you otherwise. the unused ones never error. they never appear in a failing trace. they are invisible in exactly the way that lets them accumulate. > what to actually do count calls per tool over the last thousand runs. this is one group-by and it usually shocks people. the ones at zero are pure cost. ship the tools the task needs, not the whole registry. a research phase does not need deploy. a writing phase does not need the database. swap the set between phases instead of loading everything up front. same agent, different tools, depending on where the run is. and when two tools could both plausibly answer the same request, that is not redundancy you can ignore. it is a coin flip you built into the system. the twenty eight tools are not unused. they are used every time, by the part of the run you cannot see.
0:52

your agent has thirty tools. it calls two of them. the other twenty eight are not sitting idle somewhere. they are in the request, every request, and they are doing damage in two places at once. first the obvious one. tool schemas go into the prompt, and a schema is not a name. it is a description, a parameter list, types, required fields, an example. thirty of those is a few thousand tokens that ship with every single call, including the ones where the agent just says thanks and stops. you are paying rent on twenty eight tools that have never fired. second, and this is the one that costs more. when the request says cancel the order, the model picks by matching against everything available. four of your tools are plausible: cancel_order, refund_order, update_order, void_order. it is choosing among them based on the descriptions you wrote, one afternoon, months ago. every tool you add is another candidate in that shortlist. the twenty eight you never call are not neutral. they are noise in the one decision that determines whether the run works. > why it grows without anyone deciding to nobody adds thirty tools on purpose. you add one for a task, it works, it stays. six months later the registry is a catalogue and no one has ever removed anything, because removing a tool feels risky and adding one feels free. and there is no feedback telling you otherwise. the unused ones never error. they never appear in a failing trace. they are invisible in exactly the way that lets them accumulate. > what to actually do count calls per tool over the last thousand runs. this is one group-by and it usually shocks people. the ones at zero are pure cost. ship the tools the task needs, not the whole registry. a research phase does not need deploy. a writing phase does not need the database. swap the set between phases instead of loading everything up front. same agent, different tools, depending on where the run is. and when two tools could both plausibly answer the same request, that is not redundancy you can ignore. it is a coin flip you built into the system. the twenty eight tools are not unused. they are used every time, by the part of the run you cannot see.

Hanako

24,656 Aufrufe • vor 12 Tagen

ChatGPT told your trading strategy was profitable. You went live. Two weeks later your account was bleeding out. That's not his fault. It handed you a guess and called it an edge. You're missing the one skill that separates quants from the retail they feed on: loop engineering. Horizon is the first tool that hands it to you - absolutely free: Here's the actual problem. ChatGPT can generate a thousand trading strategies in a minute. It cannot tell you which one actually works. 999 are noise. The one real edge is buried in there, and from the outside it looks exactly like the junk. So you trade the junk, lose, and call it a skill issue. Loop engineering does the opposite. It tests all thousand instead of trusting one - generate, score, kill, refine, repeat - and keeps only what survives data it never saw. That's the entire gap between you and a quant desk. Not brains. Not capital. The loop. It's why they print billions and 89% of retail funded them last year. Horizon runs that exact loop end to end: > a 5-year backtest in 12 seconds > thousands of simulated paths > out-of-sample gate before a dollar goes live The machine that cost a $25,000 terminal and a row of PhDs - now a sentence and a login. Save this - it's full framework below. Fewer than 1,300 seats left before launch locks the list. Link at the top - don't be the one who read all this and skip.
0:51

ChatGPT told your trading strategy was profitable. You went live. Two weeks later your account was bleeding out. That's not his fault. It handed you a guess and called it an edge. You're missing the one skill that separates quants from the retail they feed on: loop engineering. Horizon is the first tool that hands it to you - absolutely free: Here's the actual problem. ChatGPT can generate a thousand trading strategies in a minute. It cannot tell you which one actually works. 999 are noise. The one real edge is buried in there, and from the outside it looks exactly like the junk. So you trade the junk, lose, and call it a skill issue. Loop engineering does the opposite. It tests all thousand instead of trusting one - generate, score, kill, refine, repeat - and keeps only what survives data it never saw. That's the entire gap between you and a quant desk. Not brains. Not capital. The loop. It's why they print billions and 89% of retail funded them last year. Horizon runs that exact loop end to end: > a 5-year backtest in 12 seconds > thousands of simulated paths > out-of-sample gate before a dollar goes live The machine that cost a $25,000 terminal and a row of PhDs - now a sentence and a login. Save this - it's full framework below. Fewer than 1,300 seats left before launch locks the list. Link at the top - don't be the one who read all this and skip.

cvxv666

18,985 Aufrufe • vor 1 Monat

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated
1:23:35

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated

Moon Dev

11,948 Aufrufe • vor 4 Monaten

we all dream of those big wins in life the 100x, the multi-million dollar trade, or even just 10x of what you started with in 7 days i’ve been fortunate enough to experience a few of those over the past few years, and the reality is when you do win big, it doesn’t feel like it at all it hits for a split second, and then your brain just normalizes it it's a part of how to get there in the first place, but makes it a lot easier to lose it if you don't have the right guardrails in place and in that exact moment, you being even keeled doesn’t mean the number in front of you isn’t life changing it is this is where you have to slow down a bit, breathe, settle your mind don’t just roll it into some bullshit take some off the table, step away for a few days if you have to, funny enough, blowing let's say 10k of it on a beautiful trip to tokyo will save you so much because once you actually process what just happened, your future self will thank you for it the truth is, even if you think you’re going for a certain number, the moment you hit it, you’ll want more and more, and more anyone who's been in the same position will tell you the exact same thing ironically the people that win are addicted to winning and if you ask the same people in a year after that big win, what they regret and where are they proud of themselves? they will tell you they regretted rolling it over and giving some/all back or they are proud for switching back on the switch all of this is real, but it’s also exactly how i imagined it would feel years ago before it ever happened manifest your life, the feeling not just the number everything happens twice, first in your mind, then in reality
0:21

we all dream of those big wins in life the 100x, the multi-million dollar trade, or even just 10x of what you started with in 7 days i’ve been fortunate enough to experience a few of those over the past few years, and the reality is when you do win big, it doesn’t feel like it at all it hits for a split second, and then your brain just normalizes it it's a part of how to get there in the first place, but makes it a lot easier to lose it if you don't have the right guardrails in place and in that exact moment, you being even keeled doesn’t mean the number in front of you isn’t life changing it is this is where you have to slow down a bit, breathe, settle your mind don’t just roll it into some bullshit take some off the table, step away for a few days if you have to, funny enough, blowing let's say 10k of it on a beautiful trip to tokyo will save you so much because once you actually process what just happened, your future self will thank you for it the truth is, even if you think you’re going for a certain number, the moment you hit it, you’ll want more and more, and more anyone who's been in the same position will tell you the exact same thing ironically the people that win are addicted to winning and if you ask the same people in a year after that big win, what they regret and where are they proud of themselves? they will tell you they regretted rolling it over and giving some/all back or they are proud for switching back on the switch all of this is real, but it’s also exactly how i imagined it would feel years ago before it ever happened manifest your life, the feeling not just the number everything happens twice, first in your mind, then in reality

۟

23,017 Aufrufe • vor 3 Monaten

Elon Musk says that this is our last chance to save America because Democrats have imported vast number of illegals strategically into swing states and purposely do not ask for voter ID in order to create a one party system. This is the red line. Go out and vote like your life depends on it because it does. There is no going back from this if Trump does not win. "There's there's only like six six or seven twenty states. The the the margin of victory in those states is small often like ten or twenty thousand votes. what the Democrat Administration has been doing is importing vast numbers of illegals into swing states. you can look at the numbers on the actual government website Meaning you don't take my word for it You can just look at the numbers as reported by the government which is controlled by the Democrats. and what we're seeing is triple-digit increases in the number of illegals in every swing state Some cases seven hundred percent increases. These are gigantic numbers. so if you if you have a state that was that that went that has a ten or twenty thousand boat margin and you put two hundred thousand illegals into that state You ten x the the you swamp it's not a swing state anymore. It's gonna vote blue. And then and then once the swing states vote blue, there is no election anymore. It does not require any grand conspiracy theory for this you just have to look at the simple matter of incentives. If the democrat party wants to achieve permanent victory, all they need to do is turn the swing states. Turn the swing states blue for their permanent victory. And then we're one there then we're a one party state, and then they they will keep doing that obviously. They'll they will keep stacking the deck, by bringing in vast numbers of illegals into the swing state keep stacking it so that the next election each successive election will be worse than the last one. And that's what's happening And if you wanna see like well is this actually gonna happen Look at California. California is super majority dam Seventy percent them. a month ago they passed a law making it illegal to show ID in any election in California… So you so so a friend of mine went to vote in in in Palo Alto because he was like is this for real? He tried to show his ID, and that they reacted like a like like like, if you show across to a vampire. Okay They're like no we can't even look at that ID. It's it is illegal for them to even look at your ID if you want to present it in California. Why For any election at all even like City Council What logical reason other than to cheat would you ever have that law? The reason is to cheat. That's but the only that's only law like you can never make an argument..I think eighty four percent of people polled believe that you should show ID to vote. So it's against the will of the people. Basically almost every country on Earth requires the ID to vote. So well as soon as you just make…your ban ID for voting it makes fraud impossible to prove. Because how do you trace the fraud? It's insane. Mark my words. Everything they accuse Trump of they are guilty of and and if if Trump doesn't win: This will be the last real election in America. and we will if if if the if the common law if the big covenant common law puppet machine wins, they will legalize the illegals in the swing states. There will be no swing states. Every election going forward will be a guaranteed Democrat win, and it'll actually be worse than California. The reason it'll be worse than California is because the one thing that keeps California from being super crazy is that you can move out of California, like you and I did. We're still in America. But if the dems won the election, they will legalize enough illegals to turn the swing states and everywhere will be like California. There will be no escape. That is so insane. This is the final. This is it. This is the last chance. Vote like your life depends on it. Vote like your future depends on it because it does. This is the last chance man."
4:33

Elon Musk says that this is our last chance to save America because Democrats have imported vast number of illegals strategically into swing states and purposely do not ask for voter ID in order to create a one party system. This is the red line. Go out and vote like your life depends on it because it does. There is no going back from this if Trump does not win. "There's there's only like six six or seven twenty states. The the the margin of victory in those states is small often like ten or twenty thousand votes. what the Democrat Administration has been doing is importing vast numbers of illegals into swing states. you can look at the numbers on the actual government website Meaning you don't take my word for it You can just look at the numbers as reported by the government which is controlled by the Democrats. and what we're seeing is triple-digit increases in the number of illegals in every swing state Some cases seven hundred percent increases. These are gigantic numbers. so if you if you have a state that was that that went that has a ten or twenty thousand boat margin and you put two hundred thousand illegals into that state You ten x the the you swamp it's not a swing state anymore. It's gonna vote blue. And then and then once the swing states vote blue, there is no election anymore. It does not require any grand conspiracy theory for this you just have to look at the simple matter of incentives. If the democrat party wants to achieve permanent victory, all they need to do is turn the swing states. Turn the swing states blue for their permanent victory. And then we're one there then we're a one party state, and then they they will keep doing that obviously. They'll they will keep stacking the deck, by bringing in vast numbers of illegals into the swing state keep stacking it so that the next election each successive election will be worse than the last one. And that's what's happening And if you wanna see like well is this actually gonna happen Look at California. California is super majority dam Seventy percent them. a month ago they passed a law making it illegal to show ID in any election in California… So you so so a friend of mine went to vote in in in Palo Alto because he was like is this for real? He tried to show his ID, and that they reacted like a like like like, if you show across to a vampire. Okay They're like no we can't even look at that ID. It's it is illegal for them to even look at your ID if you want to present it in California. Why For any election at all even like City Council What logical reason other than to cheat would you ever have that law? The reason is to cheat. That's but the only that's only law like you can never make an argument..I think eighty four percent of people polled believe that you should show ID to vote. So it's against the will of the people. Basically almost every country on Earth requires the ID to vote. So well as soon as you just make…your ban ID for voting it makes fraud impossible to prove. Because how do you trace the fraud? It's insane. Mark my words. Everything they accuse Trump of they are guilty of and and if if Trump doesn't win: This will be the last real election in America. and we will if if if the if the common law if the big covenant common law puppet machine wins, they will legalize the illegals in the swing states. There will be no swing states. Every election going forward will be a guaranteed Democrat win, and it'll actually be worse than California. The reason it'll be worse than California is because the one thing that keeps California from being super crazy is that you can move out of California, like you and I did. We're still in America. But if the dems won the election, they will legalize enough illegals to turn the swing states and everywhere will be like California. There will be no escape. That is so insane. This is the final. This is it. This is the last chance. Vote like your life depends on it. Vote like your future depends on it because it does. This is the last chance man."

Green Lives Matter

13,451 Aufrufe • vor 1 Jahr

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.
1:56:06

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.

Voltex

27,976 Aufrufe • vor 1 Monat

🚨: THIS BOT TOOK OVER POLYMARKET He already made ~$600k in just 3 weeks That's why I spent days to decode his trading edge And the technical side is where it hides... Others will charge $1,000 for this info, but not me: The wallet runs a passive market making engine with a fixed cadence of ~2 seconds. It continuously places limit orders on both sides of the book, YES and NO, then refreshes them after partial or full fills. That cadence matters. Too slow and you miss flow. Too fast and you lose priority in the queue. He found the balance. The goal is not direction, but inventory control. Every fill is part of a larger package, not a standalone trade. He keeps both sides active so exposure stays hedged and adjusts size based on fills and market pressure. That’s the management layer most people don’t see. Then comes the execution path. Orders are routed through the same function repeatedly, meaning this is a standing logic, not random clicks. After fills, positions are not just held or sold. They go through a cleanup cycle. Split. Merge. Redeem. That’s how conditional tokens are closed efficiently and profit is realized. Without this step, you’re holding fragments instead of resolved positions. PnL breakdown confirms it. Entry is flat, exits leak, but settlement generates most of the profit. That means the system is optimized for carry, not trading spreads alone. His wallet: [ Also important. This only works in high-activity regimes where both sides keep filling. If flow drops, inventory becomes risk. That’s when the system weakens. This is not a strategy you copy, but a full execution engine.
0:54

🚨: THIS BOT TOOK OVER POLYMARKET He already made ~$600k in just 3 weeks That's why I spent days to decode his trading edge And the technical side is where it hides... Others will charge $1,000 for this info, but not me: The wallet runs a passive market making engine with a fixed cadence of ~2 seconds. It continuously places limit orders on both sides of the book, YES and NO, then refreshes them after partial or full fills. That cadence matters. Too slow and you miss flow. Too fast and you lose priority in the queue. He found the balance. The goal is not direction, but inventory control. Every fill is part of a larger package, not a standalone trade. He keeps both sides active so exposure stays hedged and adjusts size based on fills and market pressure. That’s the management layer most people don’t see. Then comes the execution path. Orders are routed through the same function repeatedly, meaning this is a standing logic, not random clicks. After fills, positions are not just held or sold. They go through a cleanup cycle. Split. Merge. Redeem. That’s how conditional tokens are closed efficiently and profit is realized. Without this step, you’re holding fragments instead of resolved positions. PnL breakdown confirms it. Entry is flat, exits leak, but settlement generates most of the profit. That means the system is optimized for carry, not trading spreads alone. His wallet: [ Also important. This only works in high-activity regimes where both sides keep filling. If flow drops, inventory becomes risk. That’s when the system weakens. This is not a strategy you copy, but a full execution engine.

Dexter's Lab

21,632 Aufrufe • vor 4 Monaten

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen
49:49

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

Moon Dev

26,010 Aufrufe • vor 5 Monaten

Polymarket vs Sportsbooks: Why Betting Apps are Toast On E248, Chamath and Friedberg discussed why prediction markets like Polymarket are killing traditional sportsbooks. Friedberg: “I think gambling generally, as we call it, should be decriminalized.” “And I don't like this state-by-state set up with gambling.” “I think we should have a federal regulatory body.” “This is not going away. People love to bet on stuff. This is part of sports, this is part of the culture.” Chamath: “ Look at Polymarket.” “Polymarket raised at, whatever it was, $1-2B at $9B. Then the next weekend they announced sports betting and now they're raising money 30 days later at, allegedly, $12-15B.” “And you can see, by the way, the way that DraftKings and FanDuel stock have reacted to this, those companies are toast.” Friedberg: “ The Polymarket model is the best model because it creates a market.” “And so as information flows in, that market will dynamically adjust and everyone will get a more fair price.” “Polymarket actually has the news before the news does.” “And this is one of the most powerful outputs of Polymarket, is they're actually getting a read on what's going on in the world before the media recognizes it, before the public recognizes it.” “When you put money up, it actually turns out that when people have incentives, that market will find the truth.”
1:04

Polymarket vs Sportsbooks: Why Betting Apps are Toast On E248, Chamath and Friedberg discussed why prediction markets like Polymarket are killing traditional sportsbooks. Friedberg: “I think gambling generally, as we call it, should be decriminalized.” “And I don't like this state-by-state set up with gambling.” “I think we should have a federal regulatory body.” “This is not going away. People love to bet on stuff. This is part of sports, this is part of the culture.” Chamath: “ Look at Polymarket.” “Polymarket raised at, whatever it was, $1-2B at $9B. Then the next weekend they announced sports betting and now they're raising money 30 days later at, allegedly, $12-15B.” “And you can see, by the way, the way that DraftKings and FanDuel stock have reacted to this, those companies are toast.” Friedberg: “ The Polymarket model is the best model because it creates a market.” “And so as information flows in, that market will dynamically adjust and everyone will get a more fair price.” “Polymarket actually has the news before the news does.” “And this is one of the most powerful outputs of Polymarket, is they're actually getting a read on what's going on in the world before the media recognizes it, before the public recognizes it.” “When you put money up, it actually turns out that when people have incentives, that market will find the truth.”

The All-In Podcast

348,178 Aufrufe • vor 9 Monaten

Elon Musk just told you the job is dying. Most people heard a prediction. A few heard a prison door opening. Musk: “In less than 20 years, working at all will be optional.” That is not a policy suggestion. That is a countdown. For three hundred years, the human blueprint has been identical. You are born. You move to the city. You rent a box near the office. You trade your body and your hours for the right to exist. You do this until you are old. Then you stop. Then you die. The entire model runs on one assumption. That human labor is the only engine. AI and robotics delete that assumption. When the machine handles production at a scale no human crew can match, the forced migration to the city evaporates. The commute evaporates. The cubicle evaporates. The alarm clock that owns your nervous system for forty years evaporates. Musk: “I think it won’t be the case that you have to be in a city for a job.” The city was never a choice. It was a requirement disguised as ambition. You moved to the noise and the concrete and the $4,000 rent because the paycheck lived there. Remove the paycheck from the equation and the geography changes overnight. You can live in the mountains. On the coast. In the silence of a town most people have never heard of. You can wake up to nothing but trees and cold air and the complete absence of anyone else’s schedule. That is not a fantasy. That is the math resolving. But here is where most people break. They hear “work is optional” and they see emptiness. A species with nothing to do. Billions of people staring at screens until their minds dissolve. That fear tells you everything about what the system has already done to us. We confused labor with purpose. The grind with meaning. The paycheck with proof that we matter. Musk: “In the same way that you could grow your own vegetables in your garden.” The analogy is precise. You do not grow tomatoes because the economy demands it. You grow them because something in you wants to build a thing with your hands and watch it come alive. That instinct does not disappear when the job does. It gets unleashed. The artist who spent twenty years doing accounting finally paints. The engineer who always wanted to build something of her own finally builds it. The kid in a small town who could never afford to take the risk finally takes it. Work does not vanish. Forced work vanishes. What replaces it is creation without a gun to your head. This is the part that keeps me up at night. We are standing at the edge of the largest liberation in human history. And the loudest voices in the room are begging to stay in the cell. They want the commute. They want the boss. They want the structure that tells them when to eat and when to sleep and when they are allowed to think about their own life. Because freedom without a template is terrifying. The next twenty years will not test our technology. The technology is already ahead of schedule. They will test whether the species can handle what it has been asking for since the beginning of civilization. Time. Space. Silence. And the unbearable weight of choosing what your life actually means when no one is forcing the answer. That is not a prediction. That is the final exam. And nobody is ready.
1:46

Elon Musk just told you the job is dying. Most people heard a prediction. A few heard a prison door opening. Musk: “In less than 20 years, working at all will be optional.” That is not a policy suggestion. That is a countdown. For three hundred years, the human blueprint has been identical. You are born. You move to the city. You rent a box near the office. You trade your body and your hours for the right to exist. You do this until you are old. Then you stop. Then you die. The entire model runs on one assumption. That human labor is the only engine. AI and robotics delete that assumption. When the machine handles production at a scale no human crew can match, the forced migration to the city evaporates. The commute evaporates. The cubicle evaporates. The alarm clock that owns your nervous system for forty years evaporates. Musk: “I think it won’t be the case that you have to be in a city for a job.” The city was never a choice. It was a requirement disguised as ambition. You moved to the noise and the concrete and the $4,000 rent because the paycheck lived there. Remove the paycheck from the equation and the geography changes overnight. You can live in the mountains. On the coast. In the silence of a town most people have never heard of. You can wake up to nothing but trees and cold air and the complete absence of anyone else’s schedule. That is not a fantasy. That is the math resolving. But here is where most people break. They hear “work is optional” and they see emptiness. A species with nothing to do. Billions of people staring at screens until their minds dissolve. That fear tells you everything about what the system has already done to us. We confused labor with purpose. The grind with meaning. The paycheck with proof that we matter. Musk: “In the same way that you could grow your own vegetables in your garden.” The analogy is precise. You do not grow tomatoes because the economy demands it. You grow them because something in you wants to build a thing with your hands and watch it come alive. That instinct does not disappear when the job does. It gets unleashed. The artist who spent twenty years doing accounting finally paints. The engineer who always wanted to build something of her own finally builds it. The kid in a small town who could never afford to take the risk finally takes it. Work does not vanish. Forced work vanishes. What replaces it is creation without a gun to your head. This is the part that keeps me up at night. We are standing at the edge of the largest liberation in human history. And the loudest voices in the room are begging to stay in the cell. They want the commute. They want the boss. They want the structure that tells them when to eat and when to sleep and when they are allowed to think about their own life. Because freedom without a template is terrifying. The next twenty years will not test our technology. The technology is already ahead of schedule. They will test whether the species can handle what it has been asking for since the beginning of civilization. Time. Space. Silence. And the unbearable weight of choosing what your life actually means when no one is forcing the answer. That is not a prediction. That is the final exam. And nobody is ready.

Dustin

111,756 Aufrufe • vor 4 Monaten