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Why is nobody talking about Polymarket's official API? You open Polymarket Wait for it to load... Click on a market... Wait again... Try to check another one... More waiting... By the time you see the price, it's already stale The opportunity moved while you were clicking through pages Someone...

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BuBBliK

22,821 subscribers

44,204 次观看 • 9 个月前 •via X (Twitter)

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Polymarket 15m trading guide is FREE now Stop trading 15-minute markets via the UI. You are too slow and competing against bots that see the future I dug into Polymarket's official GitHub and found the actual edge: real-time-data-client It connects directly to their websocket. While you wait for the website to refresh, this script feeds you orderbook changes with zero latency. Example of a profile running this setup: This is the only way to front-run volatility on short timeframes.
0:21

Polymarket 15m trading guide is FREE now Stop trading 15-minute markets via the UI. You are too slow and competing against bots that see the future I dug into Polymarket's official GitHub and found the actual edge: real-time-data-client It connects directly to their websocket. While you wait for the website to refresh, this script feeds you orderbook changes with zero latency. Example of a profile running this setup: This is the only way to front-run volatility on short timeframes.

BuBBliK

17,102 次观看 • 8 个月前

This is how real Polymarket empires are built. Everyone is still looking for that one Claude setup that will change their life. I keep thinking that vibe coding does nothing, and instead of wasting time, I build a real product. While you believe it’s impossible to trade arbitrage on five-minute markets, MANUAL CODE can do it. I have already connected data on: - Current Bitcoin price. - Live five-minute pool odds. - Real-time order book. In test mode, the results are already promising. I’m waiting for the next stages of validation, and then it can be launched as a bot with market-based calls. Should I publish this?
0:24

This is how real Polymarket empires are built. Everyone is still looking for that one Claude setup that will change their life. I keep thinking that vibe coding does nothing, and instead of wasting time, I build a real product. While you believe it’s impossible to trade arbitrage on five-minute markets, MANUAL CODE can do it. I have already connected data on: - Current Bitcoin price. - Live five-minute pool odds. - Real-time order book. In test mode, the results are already promising. I’m waiting for the next stages of validation, and then it can be launched as a bot with market-based calls. Should I publish this?

Raychi

42,128 次观看 • 7 个月前

There's a way to win on Polymarket no matter who wins. Buy YES in one place, NO in another. If they don't add up to a dollar, you locked a profit. Before the event even happens. Here's how the arbitrage actually works and how to master it: This is the closest thing to free money on Polymarket. Every market has a YES and a NO. One of them MUST resolve to $1. The other goes to zero. So in theory, YES + NO should always cost exactly $1. But in thin or messy markets, they don't. Sometimes you can buy: > YES at 0.48 > NO at 0.49 > total cost: 0.97 This guy does it every day: [ He also uploaded a full guide on how to build the same bot. One side pays you $1 at resolution no matter what. He spends 97 cents to guarantee a dollar. That 3 cents is locked, risk-free. There's also the cross-market version. The same event sometimes has two separate markets at different prices. Buy the cheap YES in one, the cheap NO in the other, and pocket the gap. Sounds easy, right? But here's the honest part: These gaps close in about 2.7 seconds now. By the time you click by hand, a bot already took it. So the manual version only really survives in low-liquidity markets the bots ignore. The fast version? That lives in compiled code with a VPS sitting next to the exchange. If you can code, this is one of the cleanest edges i know. If you can't, stick to the thin markets where speed matters less. Good luck!
0:40

There's a way to win on Polymarket no matter who wins. Buy YES in one place, NO in another. If they don't add up to a dollar, you locked a profit. Before the event even happens. Here's how the arbitrage actually works and how to master it: This is the closest thing to free money on Polymarket. Every market has a YES and a NO. One of them MUST resolve to $1. The other goes to zero. So in theory, YES + NO should always cost exactly $1. But in thin or messy markets, they don't. Sometimes you can buy: > YES at 0.48 > NO at 0.49 > total cost: 0.97 This guy does it every day: [ He also uploaded a full guide on how to build the same bot. One side pays you $1 at resolution no matter what. He spends 97 cents to guarantee a dollar. That 3 cents is locked, risk-free. There's also the cross-market version. The same event sometimes has two separate markets at different prices. Buy the cheap YES in one, the cheap NO in the other, and pocket the gap. Sounds easy, right? But here's the honest part: These gaps close in about 2.7 seconds now. By the time you click by hand, a bot already took it. So the manual version only really survives in low-liquidity markets the bots ignore. The fast version? That lives in compiled code with a VPS sitting next to the exchange. If you can code, this is one of the cleanest edges i know. If you can't, stick to the thin markets where speed matters less. Good luck!

Dexter's Lab

11,583 次观看 • 3 个月前

this is legitimately brilliant trying it today because if this actually works the way he describes I'm completely changing how I trade on prediction markets like Polymarket i just gone through The Smart Ape 🔥's bot, he just spent weeks building a free tool that connects Polymarket odds to real-time news because he was tired of manually tracking everything. the insight here gathered is perfect: - top traders on Polymarket aren't running sophisticated bots. - they're just faster at spotting when the market price diverges from reality. - markets stay mispriced for HOURS after major news drops. 10-30% off sometimes he built polymarketnews(dot)xyz and it's actually insane: - AI scrapes every major publisher - flags bullish/bearish news with green/red markers directly on the price chart - updates in minutes. for instance, the Iran Khamenei market example, the news drops suggesting power consolidation, market doesn't react for hours, then crashes 40% I've been saying this forever, information asymmetry is the only real edge in prediction markets and he just made it for free absolute gold here i genuinely think this is one of those tools that becomes essential infrastructure for anyone serious about prediction markets. the edge isn't the bot it's the speed of information and he just leveled the playing field
0:48

this is legitimately brilliant trying it today because if this actually works the way he describes I'm completely changing how I trade on prediction markets like Polymarket i just gone through The Smart Ape 🔥's bot, he just spent weeks building a free tool that connects Polymarket odds to real-time news because he was tired of manually tracking everything. the insight here gathered is perfect: - top traders on Polymarket aren't running sophisticated bots. - they're just faster at spotting when the market price diverges from reality. - markets stay mispriced for HOURS after major news drops. 10-30% off sometimes he built polymarketnews(dot)xyz and it's actually insane: - AI scrapes every major publisher - flags bullish/bearish news with green/red markers directly on the price chart - updates in minutes. for instance, the Iran Khamenei market example, the news drops suggesting power consolidation, market doesn't react for hours, then crashes 40% I've been saying this forever, information asymmetry is the only real edge in prediction markets and he just made it for free absolute gold here i genuinely think this is one of those tools that becomes essential infrastructure for anyone serious about prediction markets. the edge isn't the bot it's the speed of information and he just leveled the playing field

arndxt

105,303 次观看 • 8 个月前

We built the ultimate arbitrage machine. it literally scans every prediction market into one single dashboard: > live tracking for spreads across Polymarket, Kalshi, Drift & 12+ platforms > real-time price feeds from every market > executes both sides in you profit no matter who wins > 24/7 automated scanning > free to use - we only take a cut when you profit while you're reading news and picking sides, this is running in the background. we didn't build a bot. we built infrastructure.
0:35

We built the ultimate arbitrage machine. it literally scans every prediction market into one single dashboard: > live tracking for spreads across Polymarket, Kalshi, Drift & 12+ platforms > real-time price feeds from every market > executes both sides in you profit no matter who wins > 24/7 automated scanning > free to use - we only take a cut when you profit while you're reading news and picking sides, this is running in the background. we didn't build a bot. we built infrastructure.

PolyArbiter

354,779 次观看 • 7 个月前

.Martin Shkreli explains why he's both bearish on prediction markets and runs a bot that makes a market in the Bitcoin 15-minute Polymarket markets: "How much are you just financializing for financializing's sake, and is that sustainable when you actually need people with tons of money to fight the arbitrage gradient?" "For example, I've been running this bot on Polymarket that makes a market in the Bitcoin 15-minute markets, which are somewhat inefficient." "Nobody needs to trade this. There's no actual benefit to trading this, other than that you can take two-to-N bets - you get around 96 bets a day - and with the money velocity of getting a lot of those right, you can compound insanely well." "Of course, it's random. But people's hope springs eternal that they could somehow get the rhythm of the market every 15 minutes. I think it's a waste of ingenuity and engineering."
1:56

.Martin Shkreli explains why he's both bearish on prediction markets and runs a bot that makes a market in the Bitcoin 15-minute Polymarket markets: "How much are you just financializing for financializing's sake, and is that sustainable when you actually need people with tons of money to fight the arbitrage gradient?" "For example, I've been running this bot on Polymarket that makes a market in the Bitcoin 15-minute markets, which are somewhat inefficient." "Nobody needs to trade this. There's no actual benefit to trading this, other than that you can take two-to-N bets - you get around 96 bets a day - and with the money velocity of getting a lot of those right, you can compound insanely well." "Of course, it's random. But people's hope springs eternal that they could somehow get the rhythm of the market every 15 minutes. I think it's a waste of ingenuity and engineering."

TBPN

151,807 次观看 • 8 个月前

I gave an AI one instruction: “Build me a playable 3D game from scratch.” Then I let it cook. 👀 I tested Tencent Hy4 preview inside WorkBuddy, and it went way beyond just generating a few snippets of code. It could: → Plan the game structure → Generate the code across files → Create the UI and interactions → Debug problems along the way → Iterate on the project while keeping context That last part is what caught my attention. Hy4 preview is built for these long-horizon tasks, with 770B total parameters, 49B active parameters, and a 1M-token context window. It’s designed for coding agents, game development, tool use, research, and other workflows where the model has to actually do the work, not just answer a prompt. And right now, you can try Hy4 preview for free on WorkBuddy until September 10. If you want to see how far an AI agent can take a real project, try it yourself: See what you can build with it. Tencent AI
1:27

I gave an AI one instruction: “Build me a playable 3D game from scratch.” Then I let it cook. 👀 I tested Tencent Hy4 preview inside WorkBuddy, and it went way beyond just generating a few snippets of code. It could: → Plan the game structure → Generate the code across files → Create the UI and interactions → Debug problems along the way → Iterate on the project while keeping context That last part is what caught my attention. Hy4 preview is built for these long-horizon tasks, with 770B total parameters, 49B active parameters, and a 1M-token context window. It’s designed for coding agents, game development, tool use, research, and other workflows where the model has to actually do the work, not just answer a prompt. And right now, you can try Hy4 preview for free on WorkBuddy until September 10. If you want to see how far an AI agent can take a real project, try it yourself: See what you can build with it. Tencent AI

Toha Khan

66,214 次观看 • 1 个月前

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!
9:28

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 次观看 • 10 个月前

how to build the fastest Polymarket latency bot +$100k/month PnL if you hit 1,000+ trades/day cleanly 0x8dxd is just a latency bot that farms the 200–500ms gap between Binance moving and Polymarket waking up. the part that matters isn't some alpha model, it's reading spot first and hitting the book before odds adjust.​ where the $100k+/month comes from it's not one massive bet. it's clipping tiny edges thousands of times. 0x8dxd started with $313 and ended month one around $438k, now sits north of $550k all‑time PnL with ~5.6k–7k trades at 96–98% win rate on BTC/ETH/SOL 15‑minute windows.​ if you're consistently pulling 1–2% per cycle over 1,000+ trades/month with real size, six figures is just arithmetic.​ first, the edge: spot (Binance/Coinbase) moves first, Polymarket's 15‑minute up/down windows lag by 200–500ms before odds fully reprice. latency bots live in that window: spot already moved, book still thinks it's 50/50, bot fixes the misprice and takes the edge.​ what you actually need: - Python + official py‑clob‑client to prove the idea, Rust CLOB client if you want to compete with 0x8dxd‑level bots.​ - WebSocket feeds for BTC/ETH/SOL from Binance/Coinbase (REST polling is too slow).​ Dedicated Polygon RPC node so your orders don't die in public rate limits.​ - VPS physically close to Polymarket's infra (ping is literally part of your edge).​ where people mess up: they try "HFT" from a laptop with Python + public RPC and wonder why their 300ms reaction gets farmed by a 30ms Rust engine.​ the bot loop (in plain English) pull real‑time spot for BTC/ETH/SOL via WebSocket, track short‑term % moves over a few seconds.​ for each 15‑minute crypto market on Polymarket: check if spot moved beyond your threshold (e.g. ±2%) while Polymarket odds barely changed.​ if BTC rips and the "down" contract is still priced like a coinflip, load NO at stale odds. if BTC nukes and "up" is still fat, fade that with NO or take YES on "down" depending on the market structure.​ log market, entry odds, exit odds, realized edge. that's it. no AI, no news scraping, just enforcing what spot already told you.​ where to get real references: Finbold/MEXC breakdowns: exactly how a bot took $313 to $438k on Polymarket using BTC 15‑minute windows and latency between spot and odds.​ BlakeNastri's X thread: dug through 0x8dxd's stats, ~5.6k trades and ~96%+ win rate, called it latency arbitrage not insider magic.​ two real‑world gotchas (that decide profit vs loss) edge decay: as more bots pile in, the 200–500ms lag shrinks and your edge turns into noise. research on Polymarket shows arbitrage bots already extracted tens of millions.​ self‑slippage: once you scale to real size, you start moving the book yourself - without proper sizing and staggering, you donate your edge back to the market.​ how to make it feel "pro" fast run only on high‑volume crypto windows: (BTC/ETH/SOL 15‑minute) where size actually fills and you can hit 1,000+ trades/month without breaking the market.​ start with tiny tickets ($20–50 per trade), prove the edge over thousands of logs with fees and slippage included, only then scale size not risk per trade.​ use official libs and known clients as your backbone, treat random "Polymarket bot" repos as hostile until you audit them - there are already GitHub bots caught stealing keys
0:21

how to build the fastest Polymarket latency bot +$100k/month PnL if you hit 1,000+ trades/day cleanly 0x8dxd is just a latency bot that farms the 200–500ms gap between Binance moving and Polymarket waking up. the part that matters isn't some alpha model, it's reading spot first and hitting the book before odds adjust.​ where the $100k+/month comes from it's not one massive bet. it's clipping tiny edges thousands of times. 0x8dxd started with $313 and ended month one around $438k, now sits north of $550k all‑time PnL with ~5.6k–7k trades at 96–98% win rate on BTC/ETH/SOL 15‑minute windows.​ if you're consistently pulling 1–2% per cycle over 1,000+ trades/month with real size, six figures is just arithmetic.​ first, the edge: spot (Binance/Coinbase) moves first, Polymarket's 15‑minute up/down windows lag by 200–500ms before odds fully reprice. latency bots live in that window: spot already moved, book still thinks it's 50/50, bot fixes the misprice and takes the edge.​ what you actually need: - Python + official py‑clob‑client to prove the idea, Rust CLOB client if you want to compete with 0x8dxd‑level bots.​ - WebSocket feeds for BTC/ETH/SOL from Binance/Coinbase (REST polling is too slow).​ Dedicated Polygon RPC node so your orders don't die in public rate limits.​ - VPS physically close to Polymarket's infra (ping is literally part of your edge).​ where people mess up: they try "HFT" from a laptop with Python + public RPC and wonder why their 300ms reaction gets farmed by a 30ms Rust engine.​ the bot loop (in plain English) pull real‑time spot for BTC/ETH/SOL via WebSocket, track short‑term % moves over a few seconds.​ for each 15‑minute crypto market on Polymarket: check if spot moved beyond your threshold (e.g. ±2%) while Polymarket odds barely changed.​ if BTC rips and the "down" contract is still priced like a coinflip, load NO at stale odds. if BTC nukes and "up" is still fat, fade that with NO or take YES on "down" depending on the market structure.​ log market, entry odds, exit odds, realized edge. that's it. no AI, no news scraping, just enforcing what spot already told you.​ where to get real references: Finbold/MEXC breakdowns: exactly how a bot took $313 to $438k on Polymarket using BTC 15‑minute windows and latency between spot and odds.​ BlakeNastri's X thread: dug through 0x8dxd's stats, ~5.6k trades and ~96%+ win rate, called it latency arbitrage not insider magic.​ two real‑world gotchas (that decide profit vs loss) edge decay: as more bots pile in, the 200–500ms lag shrinks and your edge turns into noise. research on Polymarket shows arbitrage bots already extracted tens of millions.​ self‑slippage: once you scale to real size, you start moving the book yourself - without proper sizing and staggering, you donate your edge back to the market.​ how to make it feel "pro" fast run only on high‑volume crypto windows: (BTC/ETH/SOL 15‑minute) where size actually fills and you can hit 1,000+ trades/month without breaking the market.​ start with tiny tickets ($20–50 per trade), prove the edge over thousands of logs with fees and slippage included, only then scale size not risk per trade.​ use official libs and known clients as your backbone, treat random "Polymarket bot" repos as hostile until you audit them - there are already GitHub bots caught stealing keys

0xCryptoGirl

25,556 次观看 • 9 个月前

This is the fastest text-to-speech and speech-to-text API out there. It's under 250 ms to first-byte latency. That's what we need to deploy conversational AI applications everywhere! (I can't wait for the death of automated voice machines.) Look at the attached video. For the first time, I could have a conversation with an AI agent in real time without awkward pauses. This technology is Aura from Deepgram. It's the fastest text-to-speech option I've seen. Here is a GitHub repository with the demo in the video: You can use it to build a conversational AI application using natural voice. You'll need a Deepgram API Key and an OpenAI API Key. Thanks to Deepgram for giving me access to Aura and collaborating with me on this post. If you want to learn more about Aura, here is the announcement post:
3:38

This is the fastest text-to-speech and speech-to-text API out there. It's under 250 ms to first-byte latency. That's what we need to deploy conversational AI applications everywhere! (I can't wait for the death of automated voice machines.) Look at the attached video. For the first time, I could have a conversation with an AI agent in real time without awkward pauses. This technology is Aura from Deepgram. It's the fastest text-to-speech option I've seen. Here is a GitHub repository with the demo in the video: You can use it to build a conversational AI application using natural voice. You'll need a Deepgram API Key and an OpenAI API Key. Thanks to Deepgram for giving me access to Aura and collaborating with me on this post. If you want to learn more about Aura, here is the announcement post:

Santiago

185,640 次观看 • 2 年前

One Polymarket account turned $50 into $435,000 with OpenClaw. It exploits price lag, executes in milliseconds, runs locally in Rust, and prints $400 to $700 a day. I have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "Polymarket" 2. Like and Retweet 3. Follow me Choya (so I can DM you) What you will learn: ✅ How to reverse-engineer profitable trading bots ✅ Using AI to build Rust bots in under 1 hour ✅ Exploiting price lag across exchanges ✅ Setting up local execution for speed ✅ Complete bot deployment walkthrough ✅ Risk management and error handling This is not theory. This is the exact process to replicate a proven system. The bot runs 24/7 while you sleep and catches every opportunity. Comment "Polymarket" and I will send you everything. Must Follow Choya to get the DM.
0:32

One Polymarket account turned $50 into $435,000 with OpenClaw. It exploits price lag, executes in milliseconds, runs locally in Rust, and prints $400 to $700 a day. I have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "Polymarket" 2. Like and Retweet 3. Follow me Choya (so I can DM you) What you will learn: ✅ How to reverse-engineer profitable trading bots ✅ Using AI to build Rust bots in under 1 hour ✅ Exploiting price lag across exchanges ✅ Setting up local execution for speed ✅ Complete bot deployment walkthrough ✅ Risk management and error handling This is not theory. This is the exact process to replicate a proven system. The bot runs 24/7 while you sleep and catches every opportunity. Comment "Polymarket" and I will send you everything. Must Follow Choya to get the DM.

Choya

11,023 次观看 • 6 个月前

I Actually Want the Crypto Market to Crash, Here’s Why Everyone is praying for crypto to pump. I'm hoping for the exact opposite, and here's why. People are waiting for the CLARITY Act to pass and the Fed to cut rates so crypto explodes. I want it delayed. Keep the market down a little longer. Here's why that sounds crazy but isn't. When the market is down is exactly when you get to accumulate at cheap prices. You don't walk into a store hoping the price is high. If you want a quality product, you want it cheap. Assets are no different. But in investing people flip it. They want their bags expensive while they're still trying to buy more. That's trading with your emotions, way too attached to your portfolio. If you truly believed in your investments, you'd want what I want: more money into cheaper assets. That's how this actually works, not the other way around. Flip your perspective and you make money. Stay emotional, blame everyone else, and you stay exactly where you are. Follow for more.
1:45

I Actually Want the Crypto Market to Crash, Here’s Why Everyone is praying for crypto to pump. I'm hoping for the exact opposite, and here's why. People are waiting for the CLARITY Act to pass and the Fed to cut rates so crypto explodes. I want it delayed. Keep the market down a little longer. Here's why that sounds crazy but isn't. When the market is down is exactly when you get to accumulate at cheap prices. You don't walk into a store hoping the price is high. If you want a quality product, you want it cheap. Assets are no different. But in investing people flip it. They want their bags expensive while they're still trying to buy more. That's trading with your emotions, way too attached to your portfolio. If you truly believed in your investments, you'd want what I want: more money into cheaper assets. That's how this actually works, not the other way around. Flip your perspective and you make money. Stay emotional, blame everyone else, and you stay exactly where you are. Follow for more.

Alexander Lorenzo

13,602 次观看 • 3 个月前

If you’re wondering how easy it was to find the wallet with just a few positions and without any entry prices etc. It is that easy with Hyperview Just use the larp detector and click on the multi-market button. Then add all the markets you know the wallet has positions on (you can even add more details like leverage, entry price, etc.), but for a wallet that has that many positions, as you can see, you don’t even need to. 2 wallets matched the positions I searched for and as you can see, the second one has way way more positions, so it can only be the first one. 17s to find the wallet, you don’t need to be ZachXBT. Just use Hyperview lil bro ✌🏻 You can download the ealy access on iOS or MacOS on with the link below :
0:30

If you’re wondering how easy it was to find the wallet with just a few positions and without any entry prices etc. It is that easy with Hyperview Just use the larp detector and click on the multi-market button. Then add all the markets you know the wallet has positions on (you can even add more details like leverage, entry price, etc.), but for a wallet that has that many positions, as you can see, you don’t even need to. 2 wallets matched the positions I searched for and as you can see, the second one has way way more positions, so it can only be the first one. 17s to find the wallet, you don’t need to be ZachXBT. Just use Hyperview lil bro ✌🏻 You can download the ealy access on iOS or MacOS on with the link below :

Alex

50,259 次观看 • 4 个月前

Yesterday i publicly deposited $100 to a new wallet and asked Claude Fable 5 to double it on risk free arbitrage. Today it's sitting at $1,787.21 made overnight. I went through every code line and was shocked. It used just one formula to make 17x in one day: YES + NO Run the bot on a VPS close to the exchange instead of your laptop > Keep WebSocket connections alive instead of reconnecting every loop > Cache market metadata in memory and only update prices > Prepare both orders before the opportunity exists That last one changed everything. Most bots see YES + NO < $1, then build the trade. Mine already has the orders ready. When the spread appears, it only checks liquidity and submits both legs. No rebuilding. No unnecessary calculations. Just execution. Will you beat firms with million-dollar low-latency infrastructure? Probably not. But you don't need to. Most developers lose opportunities long before network latency becomes the bottleneck. They lose them inside their own code. Claude Fable 5 didn't give me a smarter strategy. It taught me how to stop wasting milliseconds. And in arbitrage, that's often the only edge that matters. Make sure to explain it to Claude if you wanna rebuild the same one. Leaving a full guide with every aspect covered below.
0:43

Yesterday i publicly deposited $100 to a new wallet and asked Claude Fable 5 to double it on risk free arbitrage. Today it's sitting at $1,787.21 made overnight. I went through every code line and was shocked. It used just one formula to make 17x in one day: YES + NO Run the bot on a VPS close to the exchange instead of your laptop > Keep WebSocket connections alive instead of reconnecting every loop > Cache market metadata in memory and only update prices > Prepare both orders before the opportunity exists That last one changed everything. Most bots see YES + NO < $1, then build the trade. Mine already has the orders ready. When the spread appears, it only checks liquidity and submits both legs. No rebuilding. No unnecessary calculations. Just execution. Will you beat firms with million-dollar low-latency infrastructure? Probably not. But you don't need to. Most developers lose opportunities long before network latency becomes the bottleneck. They lose them inside their own code. Claude Fable 5 didn't give me a smarter strategy. It taught me how to stop wasting milliseconds. And in arbitrage, that's often the only edge that matters. Make sure to explain it to Claude if you wanna rebuild the same one. Leaving a full guide with every aspect covered below.

Oracle Boar

102,642 次观看 • 2 个月前

If you’ve never written code before, this is for you. I’ve just launched a course that shows you, in less than 30 minutes, how to describe an idea for an app and build it with AI. In this course, you'll build a working web application - a funny interactive birthday message generator that runs in your browser and can be shared with friends. You'll customize it by telling AI how you want it changed, and tweak it until it works the way you want. By the end, you'll have a repeatable process you can apply to build a wide variety of applications. If you want to try vibe coding, this will be the best place to start! Further, you'll be able to use these techniques with whatever tool you're most comfortable with (like ChatGPT, Gemini, Claude, or others) -- we're vendor neutral. Skills you'll gain: - How to build web apps with AI - zero coding skills needed - How to fix and improve your creations by chatting with AI - A simple process you can use to build other things you can dream up Building with AI is one of the most fun things in the world. Please join me and take your first step! I think you will be surprised at what you can build. And if you're an experienced engineer, please share this with someone in your life who's been curious about building with AI. Come build with me!
1:03

If you’ve never written code before, this is for you. I’ve just launched a course that shows you, in less than 30 minutes, how to describe an idea for an app and build it with AI. In this course, you'll build a working web application - a funny interactive birthday message generator that runs in your browser and can be shared with friends. You'll customize it by telling AI how you want it changed, and tweak it until it works the way you want. By the end, you'll have a repeatable process you can apply to build a wide variety of applications. If you want to try vibe coding, this will be the best place to start! Further, you'll be able to use these techniques with whatever tool you're most comfortable with (like ChatGPT, Gemini, Claude, or others) -- we're vendor neutral. Skills you'll gain: - How to build web apps with AI - zero coding skills needed - How to fix and improve your creations by chatting with AI - A simple process you can use to build other things you can dream up Building with AI is one of the most fun things in the world. Please join me and take your first step! I think you will be surprised at what you can build. And if you're an experienced engineer, please share this with someone in your life who's been curious about building with AI. Come build with me!

Andrew Ng

638,019 次观看 • 9 个月前

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.
0:21

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

Defileo🔮

695,073 次观看 • 5 个月前

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 次观看 • 6 个月前

Anthropic want to launch CLAUDE RS automated trading bot for Polymarket After automating trading of the S&P500 they went further and are entering the cryptocurrency market For example they took a Polymarket bot that turned $1.60 into $1 000 000 in 4 month His account is BoneReader: Copytrading like Claude: How it works: - Claude monitors hundreds of wallets 24/7 - Evaluates win rates, market timing and sizing - Tests micro trades to find the best strategy - Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. This is the future. Manual trading is probably dead FOREVER. Like comment retweet and I will send you an open GitHub with a similar bot on which I managed to earn $4700 in 3 days Don’t forget to follow so I can DM you
1:00

Anthropic want to launch CLAUDE RS automated trading bot for Polymarket After automating trading of the S&P500 they went further and are entering the cryptocurrency market For example they took a Polymarket bot that turned $1.60 into $1 000 000 in 4 month His account is BoneReader: Copytrading like Claude: How it works: - Claude monitors hundreds of wallets 24/7 - Evaluates win rates, market timing and sizing - Tests micro trades to find the best strategy - Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. This is the future. Manual trading is probably dead FOREVER. Like comment retweet and I will send you an open GitHub with a similar bot on which I managed to earn $4700 in 3 days Don’t forget to follow so I can DM you

AdiiX

67,287 次观看 • 6 个月前

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

26,242 次观看 • 7 个月前