Twymango retweeted
这玩意真的太离谱、太暴力了。
我的 Grok Bot 全自动交易终端通宵跑单,
本金 69.67 美元,一觉醒来直接干到 13370 美元。
全程我没有手动操作任何一笔交易。
只充了本金、开启全自动模式,剩下全靠机器人自己完成:
自主扫描市场机会、智能择时开仓、按预设风控规则自动止盈止损。
给大家整理这套通宵全自动 AI 交易系统依赖的 10 个核心 GitHub 开源库:
1. Cryptofeed
实时同步各大交易所成交数据、行情价格、盘口变动,为扫描策略提供原生市场数据流
2. CCXT
统一交易接口框架,通过单一 API 对接所有交易所,完成资产查询、行情获取、挂单交易全流程
3. Freqtrade
量化策略运行核心,支持策略回测、模拟盘交易、仓位监控,自带可视化后台面板
4. VectorBT
基于海量历史数据,回测各类开仓、平仓组合,精准复盘每一套策略的盈亏与最大回撤
5. TA-Lib Python
技术指标计算工具,直接解析行情数据,生成 RSI、MACD、均线等全套技术信号
6. skfolio
投资组合优化工具,可按权重、换手率、交易成本等约束条件,对比最优仓位配置方案
7. QuantStats
交易绩效分析工具,自动生成完整交易报告:回撤、胜率、波动率、对标基准收益全部量化
8. DuckDB
高性能轻量数据库,存储盘口快照与每笔交易记录,方便次日完整复盘所有交易逻辑
9. APScheduler
定时任务框架,自动刷新行情数据、巡检账户状态、定时生成每日交易复盘报告
10. Lightweight Charts
终端实时行情可视化,运行过程中可直接查看K线走势与每一笔交易标记
11.FOMO
当前最火的Meme以及现货合约综合型平台,填写邀请码TGweb33手续费直接减免10%
fomo.family/r/TGweb33
以上所有组件,通过脚本、API、MCP 协议串联联动。
核心原则:统一由单一服务接管下单权限,严格限制最大持仓与亏损额度,不确定的订单必须核验状态后,再考虑重试。
所有实盘策略,务必先用模拟盘完整跑通一轮周期。
每日复盘报告必须清晰区分:已实现盈利、当前持仓、手续费损耗、失败订单,让账户每一分收益变动,都有据可查。
Twymango retweeted
You can earn $7000/month if you have ChatGPT, a laptop, and 60 mins a day.
Usually, I'd charge $79 for this guide, but today you get it completely free.
Like + reply 'Money' and I'll send you my detailed guide for FREE.
Must follow me to get guide in your DM.
FREE for 48 hrs.
Twymango retweeted
I LAUNCHED A GROK BOT TERMINAL OVERNIGHT, GAVE IT $44.82 AND STOPPED ASKING AI WHAT IT WOULD DO. BY MORNING IT HAD $11,643.21 AND SIX AGENTS LOGGING EVERY TRADE
I spent a year asking agents what they'd trade and watching the chat scroll. Last weekend I built the thing that actually trades, in Grok Bot, with no code I touched by hand.
The six agents share one screen, each one job:
> scanner reads new token pairs and volume spikes
> rug check filters suspicious tokens before anything executes
> sizer sets position from account equity, not a fixed ticket
> executor opens and closes with slippage tracking
> logger writes the reason behind every trade
> equity curve updates on every close
I went to bed on $44.82 and left the laptop open on the dashboard. By morning the balance read $11,643.21. Every trade on the activity feed had a reason next to it and a line in the log.
That's the shift I didn't see coming. Not that an agent made money overnight. That I stopped being the one asking "would you long this?" and started being the one reading the log of what already happened.
Starting balance: $44.82
Current balance: $11,643.21
Grok Bot built the terminal, the agent architecture and the dashboard. I described what I wanted and the thing went live.
The full build is in the article below ↓
The whole build is in the post below ↓
1. Comment " Grok_Bot "
2. Like and Repost
3. Follow me @alexhalescoder
I'll DM you the complete setup.
Twymango retweeted
A 19-year-old Japanese student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
Here's how it works:
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
💡I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it: 👇
1️⃣ Comment "Claude"
2️⃣ Like Comment and Repost
Follow @techluisenzo
I'll DM you the complete setup.
Twymango retweeted
A 23-year-old real estate professional from Nebraska lost his job and began self-studying with Claude AI.
The result: He built a Polymarket trading algorithm that generated **$22,000 in a single day** and roughly **$249,000 in profit over the past month.**
He invested about **250 hours** training the system to:
- aggregate data
- run simulations through MiroFish
- identify mathematical inefficiencies in BTC markets
The autonomous bot now runs on autopilot.
Rather than predicting price direction, the strategy simultaneously takes positions across opposing outcomes (UP and DOWN) at a combined cost of under $1, while leveraging proprietary data sources such as private order books from Kraken and OTC BTC desks.
This is a practical fusion of AI, quantitative analysis, and exclusive market data.
The full methodology and implementation guide is available for a limited time.
ANTHROPIC LEAKED A FILE WHERE 4 AGENTS BUILD A BUSINESS DOING $100K A MONTH IN 60 MINUTES
four agents run around the clock, cost $0 and work against a $100,000 target
scout → architect → 2 builders → critic → back to root
what makes it a team isn't the four agents, it's the three contracts written between them
the scout hands the architect who already ships this and what they charge
the architect hands the builders a spec with the interfaces named
the builders hand the critic a diff and the tests that cover it
leave any one of those boundaries vague and the work goes missing exactly there
Haiku 4.5 triages cheap, Opus 5 decides expensive, Sonnet 5 builds, Opus 5 judges
the most expensive model runs twice: once to plan, once to pass verdict
two builders in parallel is two ways to disagree - which is exactly what the gate is for
$100,000 is 334 customers at $299, $50,000 is 167, $10,000 is 34
and what you pay isn't even visible on that same scale
the cost was never the thing standing in your way
save this and paste it into Claude Code - let it write your 3 contracts ↓
Twymango retweeted
Most people DON'T realize you can build a faceless YouTube channel that makes $8,000 A MONTH with Claude and 11 labs
one guy ran this for 4 months and just hit $8,000 a month spending 3 hours a week on it
the mistake most people make is picking a niche they like instead of one that pays, finance, AI tools, luxury, the stuff advertisers fight over
Claude writes the full script from a single topic line, hook, retention beats, the whole thing
11 labs turns that script into a clean voiceover that sounds human
you pull broll and stock footage that matches each line and Claude tells you exactly where each clip goes
the whole video gets assembled without you ever showing your face or recording a word
one person uploads 4 of these a week and the back catalog keeps earning while they sleep
the channels doing this now look like a full studio and it is one person and two tools
full article below
Twymango retweeted
A faceless channel run on Claude and ElevenLabs hit $10K a month. The owner spends 3 hours a week on it.
4 months from zero, and the machine is mostly prompts.
The first rule breaks hearts: don't pick the niche you love, pick the one that pays. Finance runs around $20 per 1,000 views. Entertainment pays $3 to $8 for the same views. Same work, triple the invoice.
The math at scale gets loud. 500,000 monthly views at finance rates clears about $10,000 from AdSense alone.
The script system is where most people fail. Claude writes bad scripts by default, so his prompt forces structure: a pattern interrupt in the first 30 seconds, open loops that tease the payoff, spoken English instead of essay English, visual cues per scene. That prompt replaces a $200 scriptwriter.
The rest of the pipeline: ElevenLabs voices it, stock footage fills it, Claude writes titles, tags and chapters.
Month 4 adds affiliates and sponsors on top.
I recalculated the RPM gap twice.
Passion picks the niche. RPM pays the rent.
Twymango retweeted
A kid from my school showed me his Shopify notifications while we were standing in a mall.
He was holding a smoothie. His phone was doing the work.
Order #12310. $42. Order #12313. $135. Order #12316. $33.
The store sold caps. Just caps. But the numbers kept moving like he had found something bigger than a hat business.
Almost $200,000 in sales from one TikTok.
That sounds absurd until you stop looking at the product and start looking at the timing.
The cap was simple enough to understand in one second. The video was strong enough to make people want it immediately. The store was already live, so the impulse had somewhere to go before the feed swallowed it.
That is the whole mechanism.
Not a complicated brand.
Not a genius product.
A simple object, a moving trend, and a checkout page sitting in the exact place attention was already flowing.
Most people would ask how he sold that many caps.
The better question is why everyone else makes the buying decision so hard.
A 26-year-old guy from China runs an agency that gains over 1,000,000 followers a year, and not a single one of his streams is actually live.
he started as a real streamer, on camera every night, and made almost nothing. the moment he stopped, the caps stopped. a shop that closes when you sleep isn't a business, it's a shift.
so he stopped going live. he built a rig that only looks live:
> two vertical 4K monitors looping a clean pre-recorded product demo
> phones on tripods filming the screens through anti-moiré glass
> TikTok Shop links wired to every "stream"
> one operator minding a rack of them instead of a camera
the trick was never the tech. it was the reframe: a live-commerce stream never had to be live. it had to sell. a good demo, looped clean, closed the same at 4am as it did at noon.
then he ran it for other people. brands handed him their catalog, he spun up always-on storefronts across a dozen accounts, and took a cut of every sale the loops closed.
the $100,000 a year didn't come from being on camera. they came the night he realized the camera was the only part that needed a human, so he removed it.
Twymango retweeted
Este japonés utiliza Claude Code para gestionar 10 cuentas de forma automática y genera más de 500.000 yenes al mes en afiliación.
Ha analizado a los nombres más importantes de la IA. Casi nadie ha descubierto todavía esta oportunidad.
El océano azul más desaprovechado del momento.
Twymango retweeted
If you’re a founder struggling to market your app, you need to read this.
My app crossed $10k/mo in 90 days after launching, and here is exactly what I did to achieve this feat.
it literally doesn’t get any simpler:
1. Create 3 Instagram UGC accounts
2. Copy your competitors viral UGC content
3. Post 2x everyday on each account
if you can’t even do this, then you’re not built for entrepreneurship.
and I’m being so fr, it doesn’t get any simpler, this is your wake up call.
$0.50 per video in costs. $10K-15K/month in revenue once it scales. This guy automated the entire YouTube pipeline - script to publish, zero manual work.
> Google Sheets is the control center. One row per video - title, story idea, visual style, status.
Runs on a daily timer. Finds the next idea marked "create" in the sheet. Gemini Flash Light writes the full storyboard - splits it into 5-10 scenes, writes narration text and an image prompt for each one.
Images render through Kai AI in 16:9 cinematic ratio. 2-minute wait, then n8n pulls the links and updates the sheet.
Each image plus its script goes into Kai AI's V3 video model. Animates the frame, syncs it to generated voice. Another wait, then the clips land in the sheet.
Once every scene for that story is rendered, all the clips get pulled together and sent to JSON to Video. Templated to stitch clips back to back with fade transitions. 3-minute render, then the full film downloads.
Uploads to Google Drive for archive first. Then straight to YouTube, unlisted, title and description pulled from the sheet. Sheet gets marked "done." Never touched twice.
Full pipeline. Zero editing. Under 5 minutes of your actual time per video.
Bookmark this.
Twymango retweeted
A 24-year-old developer realized you don't need models or a studio to make $43,000/month on OnlyFans
He built a fully automated digital influencer using just 4 files and Claude
The girl doesn't exist but her behavior is so realistic that people can't stop paying
Just 10 days in, the first major fan spent $1,847 in a single month
He didn't pay for photos, he paid because the AI remembered every detail of his life and used it in conversations
Flux generates flawless photos in seconds
ElevenLabs records hyper-realistic voice notes
Claude writes every single message 24/7
Total infrastructure costs: $400
Total net profit: $32,600
bookmark this
Twymango retweeted
A 19-year-old built a SaaS tool that pays him $20,000 every month.
He still lives in his mom's house in Newark. The bedroom door has a $40 lock he put in himself, because the only thing inside worth stealing is a 3-year-old laptop with a cracked corner.
Two years ago he sold Discord setups for $15 each. Good weeks cleared $60. Then an agency owner asked if his bot could auto-tag leads. He said yes before he knew how.
That yes became a tool. A boring one. It reads a company inbox, sorts cold replies, and pushes the hot ones into Slack. No app store. No ads. No face on camera.
He charges $49 a month. He has 410 paying accounts. Stripe updates while he sleeps.
The fan of hundreds in the mirror isn't the flex. The flex is the churn: 2 percent. People who paid in March still pay in November. He spends 6 hours a week on support tickets and reads code the rest of the time.
He tried to hire a developer twice. Both quit. So it stayed one person, one server, one $12 domain bought at 2 a.m. the night the idea hit.
Nobody from his old high school knows. The teacher who failed him in computer science still runs the same room.
He's 19 with $20,000 a month and no resume.
Twymango retweeted
HE PUT IN $300, GRABBED OPEN SOURCE CODE FROM GITHUB AND USED CLAUDE CODE TO TURN IT INTO $14,000
He didn't program the bot. Just a couple hours cleaning up the code in Claude Code, hit run and walked away.
The strategy enters trades in the last two minutes of a 5-minute round, after Bitcoin has already made most of its move. Buy the side trading between $0.80 and $0.99 and the position settles at $1 a few minutes later.
It's like buying a lottery ticket after the numbers are already called. The code is free and published on GitHub.
Twymango retweeted
19 YEAR OLD BUILT AN AI RADAR AND SOLD IT FOR $550K
A student used Claude and $20 to build a real-time AI radar in one month. It detects speeding, records video, reads license plates, and automatically sends fines.
5 minutes a day. Google Maps. Claude. $237 per hour implied.
Here's the exact play this guy runs.
Open Google Maps. Search any trade business in any city. Plumbers, roofers, HVAC companies, landscapers. Scroll past the top results. Look for the ones with 4+ star ratings but no website button. There are hundreds of them in every city.
Those businesses have customers. They have reviews. They have phones ringing. They just have zero online presence, and they know it, and they're embarrassed by it, and they will pay someone to fix it.
He copies their business info, their reviews, their service area, and pastes it straight into Claude. Claude reads the reviews, understands the business, and builds a fully functional AI agent for that specific company. Booking assistant. FAQ responder. Lead capture. The whole thing in under 5 minutes.
He calls the owner. Shows them a live demo of an AI assistant that already knows their business by name, knows their services, knows what their customers say about them.
Close rate: very high. Because the demo is already built before he even picks up the phone.
He charges $800 per client.
His monthly costs:
- Claude: $17
- Phone and internet: already paying for it
- Time per client: under 20 minutes including the call
Revenue: $10,000+/month
Hourly rate implied: $237 and climbing
He's not selling websites. He's not selling SEO. He's selling a demo that's already working before the owner says yes.






































