Moe Moreno

founder. awakener. legand. My story. The Incredible Life of BigMoe and the most current one The Incredible Life of m0e305 both on Amazon

[Moe Moreno @m0e305]

Have you ever noticed Bing and Chrome are both shaped like eyes? It means they are watching you!

[断浪 @waveking1314]

这个高频交易（HFT）机器人目前每个月稳定盈利 88,182 美元，但它的主页浏览量几乎为零。它每 4.6 分钟就执行一次操作，市场对它的存在一无所知。

P(Xₙ₊₁ = j | Xₙ = i) = pᵢⱼ ≥ 0.87 → 触发入场。

这就是它全部的交易公式。安德烈·马尔可夫在 1906 年发表的这条理论，现在正帮这个账户每个月无情地从市场里抽走 8.8 万美元。

它的执行逻辑非常清晰：纯粹针对 BTC 进行方向性的剥头皮交易，横跨 1 小时和 5 分钟两个时间窗口。
入场区间设置得比较宽（36 到 63 美分），并且会在不同时间周期的盘口上，同时持有看涨和看跌的双向头寸。

每个仓位的规模控制在 700 到 2400 份合约，多个时间窗口并行运转。一天 24 小时，平均每 4.6 分钟就完成一次交易。

它根本不在乎行情的绝对走向，只是冷血地监控马尔可夫状态。一旦概率确定性达标就果断入场，做多做空对它来说毫无区别，背后的数学期望是一模一样的。

它的平均入场成本在 50 美分左右，这意味着每次盘口结算时，平均收益率都在 +100% 左右。

主页地址：https://t.co/atGmZlsekI

AI自动跟单：https://t.co/Ga8TtLGpLn

[CyrilXBT @cyrilXBT]

10 OPEN SOURCE GITHUB REPOS THAT GENERATE MONEY WHILE YOU SLEEP.

Most builders have never heard of these.

Save this before you scroll past it.

1. AutoHedge — AI-powered hedge fund automation. Manages positions and executes risk-adjusted trades without a human in the loop.
https://t.co/JDwUL002Cw

2. Vibe-Trading — AI trading agent that reads market sentiment and executes positions. Built for people who understand the edge.
https://t.co/HUPEQzcxD1

3. Claude Ads — Automated ad generation and optimization using Claude. Run campaigns without a creative team.
https://t.co/pnEA8yMmox

4. Toprank — AI-powered SEO that finds and exploits content gaps automatically. Ranks your content while you sleep.
https://t.co/ODBXkLcS9Y

5. Fincept Terminal — A Bloomberg-style financial terminal built open source. Professional market data for free.
https://t.co/0nnA7nnomB

6. Agentic Inbox — Cloudflare-powered AI that handles email autonomously. Zero manual triage.
https://t.co/5IimyfbJNG

7. ClawRouter — Routes Claude API calls to free providers. Full Claude Code functionality at zero cost.
https://t.co/9eBeBcRz9a

8. Camofox Browser — Privacy-first browser with AI built in at the core. Own your browsing stack.
https://t.co/dwoMS1m2kf

9. Open Higgsfield AI — Open source video generation. The closed source version costs hundreds a month.
https://t.co/lEijUIEVkP

10. Hyperframes — HeyGen open source framework for AI video at scale. Same quality. Zero subscription.
https://t.co/OnvFWEADo2

Every single one of these is free.

Every single one is a business waiting to be built on top of it.

The builders who clone these repos this weekend will be 6 months ahead of everyone who saved this and never opened it.

Bookmark this now.

Follow @cyrilXBT for every open source build worth your weekend before it hits the mainstream.

[Ricker @0xRicker]

Jane Street's Head of Tech just open-sourced the code that generates $13B in profits

24 years inside a tier-1 fund to build this code

He spent 24 years learning what this 50-min video shows

bookmark - it will change the way you see trading systems

[Roan @RohOnChain]

A researcher turned $100,000 into $182,761 with an 83% return using Neural Networks & Hidden Markov Models on real markets. And published the exact framework for free.

Bookmark this & study it, then read the complete breakdown in the article below before someone takes it down.

[Tim Burchett @timburchett]

Thank you @realDonaldTrump for keeping your word to me on #UFO #UAP transparency. This is a great start!

[0xMarioNawfal @RoundtableSpace]

Bots for trading definitely provide an advantage.

Check out this article that lists 20 Polymarket bots to enhance your prediction market trades.

https://t.co/AYub2lX4xJ

[sopersone @sopersone]

This dude found a way to generate income

Polymarket + Claude + weather = 45% in 3 days

[Quant Science @quantscience_]

🚨 Someone built an AI that reads candlestick charts the way GPT reads English.

Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free.

It's called Kronos.

The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns.

Every other model treats financial data like weather data. Kronos treats financial data like financial data.

Here's what it does:

→ Price forecasting. Feed it candlesticks. It predicts where price goes next.
→ Volatility prediction. Forecasts how volatile an asset will be before it happens.
→ Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe.
→ 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more.
→ 4 model sizes. 4M params runs on a laptop. 499M for max accuracy.
→ Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly.

Here's the wildest part:

→ 93% more accurate than the leading time series model
→ 87% more accurate than the best non-pretrained baseline
→ All zero-shot. No fine-tuning. Out of the box.

Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year.

This runs on your laptop. Few lines of Python. Free.

Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face.

11.6K GitHub stars. 2.4K forks. MIT License.

100% Open Source.

Get it here on GitHub: https://t.co/IdEgklvY0a

🚨Want to learn Algorithmic Trading Strategies (that actually work)?

On May 14th, we are hosting a free workshop to help you get started with algorithmic trading with Python.

Register here (500 seats): https://t.co/uBk2SeORef

[Alter Ego @AlterEgo_eth]

The most serious open-source bot for Polymarket's 15-minute BTC UP/DOWN markets (75% win rate in simulation)

Breaking down aulekator/Polymarket-BTC-15-Minute-Trading-Bot - a true 7-phase system with self-learning

Unlike most single-layer bots that trade off one indicator, this repo is built as a real system

Here's how it works from the inside:

Phase 1: Data sources

The bot pulls data simultaneously from multiple sources:
• Binance WebSocket
• Coinbase REST API
• Fear & Greed Index
• Social signals

Every source passes through validation and a rate limiter before entering the processing pipeline

Phases 2–4: Signal processing

Three independent processors:

• Spike Detector (sharp price movements)
• Sentiment Analyzer (market mood)
• Price Divergence (spread between exchanges)

Each processor generates an independent signal

The Fusion Engine combines them through weighted voting - each signal carries its own weight

Phase 5: Execution and risk management

Hard defaults out of the box:
• $1 maximum per trade
• 30% stop loss
• 20% take profit

Everything is configurable via .env - no need to touch the code.

SL/TP, exposure limits, position sizing - all handled in a separate risk_engine.py

Phase 6: Monitoring

Grafana dashboard with a ready-made dashboard.json - imports in one click

Prometheus metrics exported in real time.Switch between simulation and live mode via Redis - no bot restart required

Phase 7: Self-Learning

After every closed trade, learning_engine adjusts signal weights based on real performance

The longer it runs - the smarter it gets under current market conditions

Practical notes:

• Test mode: trades every minute
• Live mode: every 15 minutes
• Auto WebSocket reconnect
• Minimum capital: $10–20

Author is transparent: ~75% win rate in simulation, but past results ≠ future results

GitHub: https://t.co/UGPXXXOABt

[0xMarioNawfal @RoundtableSpace]

SOMEONE JUST DROPPED A FREE AI VIDEO TOOL THAT REPLACES RUNWAY, MIDJOURNEY, CHATGPT, AND HEYGEN

[slash1s @slash1sol]

"How is this legal?"

it isn't a girl. it's a 22-year-old guy in a gaming chair in Spain.

he runs 4 instagram accounts as 4 different women. 612,000 combined followers. none of them exist.

he merges two pinterest faces in Nano Banana Pro to create a girl who has never been born. records himself in his chair. plugs the video and her photo into Kling Motion Control. Kling transfers his movement onto her body frame-by-frame.

sends the file to his phone via telegram. that step strips the AI-generated metadata. the platform sees regular user content.

CapCut: grain 40, sharpness 20, brightness -8. plastic look gone.

one of his accounts hit 156,000 followers in 21 days.

same chair. same lighting. four women. one guy.

details in the article.

don't forget to save.

[Moe Moreno @m0e305]

@NoLimitGains FYI @POTUS

[NoLimit @NoLimitGains]

I told you yesterday this couldn’t be coincidence.

Now the federal government agrees.

The DOJ and CFTC have officially opened an investigation into a series of oil trades placed ahead of major Trump and Iran announcements.

Investigators are looking into at least 4 trades.

The combined profit on those trades is over $2.6 BILLION.

These are the documented cases:

March 23 around 6:49 AM ET.

Roughly $500 to $760 million in oil and equity futures hit the books fifteen minutes before Trump posted on Truth Social about pausing strikes on Iran.

Volume that morning was nine to sixteen times the normal level for that hour.

Oil tumbled, and stocks ripped.

April 7.

A $950 million bet on falling oil placed in the hours before Trump announced a two-week ceasefire.

Oil dropped 15 percent the same day.

Yesterday at 3:40 AM.

Another $920 million in crude shorts hit right before Axios reported a US-Iran deal was close.

Oil dropped 12 percent.

That trade alone made $125 MILLION in a few hours.

This is no longer speculation.

Federal regulators have subpoenaed records from CME and ICE.

Senators Warren and Whitehouse, plus Congressman Torres, have all formally requested investigations.

Someone has been positioned on the right side of every major announcement of this war.

That someone made BILLIONS.

The biggest geopolitical event of the year is being traded on advance notice.

And the people losing on the other side of those trades are regular investors.

From now on, all my moves will be posted exclusively on @InTheAssembly

Follow them before it’s too late.

[0xMarioNawfal @RoundtableSpace]

QUANTS ARE CONNECTING CLAUDE DIRECTLY TO TRADINGVIEW TO BUILD AI POWERED QT SETUPS.

The workflow lets traders analyze live market data, generate indicators, automate technical analysis, and create professional grade trading systems with AI assistance.

https://t.co/DBOw8qEXRY

[0xMarioNawfal @RoundtableSpace]

WALL STREET ARBITRAGE JUST GOT OPEN-SOURCED

* Bot scans 10K+ Polymarket and Kalshi markets for cross-exchange mispricings
* Includes real trading logic: fees, partial-fill recovery, Kelly sizing, circuit breakers

[ludoonchart @ludoonchart]

Vegas banned him. So he wrote an algorithm, moved to Hong Kong, and extracted $1 Billion from the betting crowd.

As this Bloomberg documentary shows, Bill Benter didn’t guess. He mathematically exploited the public's emotional mispricing.

Today, millions of dollars are being extracted from Polymarket using this exact same framework. While the crowd trades on "vibes," algorithms are siphoning the pool.

Bookmark this, then read the 77-year-old math framework below to build your edge

[NoLimit @NoLimitGains]

What do you call this pattern?

[Quant Science @quantscience_]

This guy built a prediction market trading bot

Then he open-sourced it to us for free: