Nathan Smith’s AI-built portfolio is up 23.8% in four weeks after leveraging ChatGPT. He shares his take on micro-caps, risk, and Python.
Oh, the things high schoolers do nowadays.

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Nathan Smith’s AI-built portfolio is up 23.8% in four weeks after leveraging ChatGPT. He shares his take on micro-caps, risk, and Python.
Oh, the things high schoolers do nowadays.

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
UAITrading (Unstoppable AI Trading): AI-Powered Trading for Stocks, Forex, and Crypto
https://uaitrading.ai/ UAITrading For On trading volumes offers, many free trade analysis tools and pending bonuses | Unstoppable AI Trading (Uaitrading) is a platform that integrates advanced artificial intelligence (AI) technologies to enhance trading strategies across various financial markets, including stocks, forex, and cryptocurrencies. By leveraging AI, the platform aims to provide real-time asset monitoring, automated portfolio management, and optimized trade execution, thereby simplifying the investment process for users.
One of the innovative features of Unstoppable AI Trading is its UAI token farming, which offers users opportunities to earn additional income through decentralized finance (DeFi) mechanisms. This approach allows traders to diversify their investment strategies and potentially increase returns by participating in token farming activities.
The platform's AI-driven systems are designed to analyze vast amounts of market data, identify profitable trading opportunities, and execute trades without human intervention. This automation not only enhances efficiency but also reduces the emotional biases that often affect human traders, leading to more consistent and objective trading decisions.
By harnessing the power of AI, Unstoppable AI Trading aims to empower both novice and experienced traders to navigate the complexities of financial markets more effectively, offering tools and strategies that adapt to dynamic market conditions
Gambit is a company that offers forex trading courses, and referral programs.
Gambit is a company that offers forex trading courses, and referral programs. It recently held a forex expo in Bangkok, which aimed to inform people about forex trading and how Gambit uses artificial intelligence and machine learning to generate profitable signals and trades. Gambit also teaches its clients the gambit trading strategy, which is a method of sacrificing a small amount of money to gain an advantage over the market. By using Gambit’s services, clients can benefit from low-risk and high-reward forex trading opportunities.
How to Build an AI Trading Bot
Title: 5-Min Polymarket TWAP Doubles to 60s: The Feed Swap Most Bots Will Miss
Quick technical heads up for anyone running a Polymarket trading bot: 5-minute crypto market TWAP settlement moves from a 30-second to a 60-second window tomorrow, August 14.
Here's the part most people will get wrong - this isn't a config edit. Chainlink ships 30s and 60s TWAP as separate feed variants with different feed IDs, not one feed with an adjustable parameter. If your bot just changes a window_seconds variable somewhere, it's still subscribed to the old feed.
It also affects your strike price calculation, not just settlement - both the contract's opening price and its resolution price read from the same TWAP feed. And if you're running a reconciliation script to verify your own computed TWAP against Polymarket's published resolution price, your drift tolerance needs widening too, since a longer averaging window has a higher natural noise floor even with zero manipulation involved.
Full technical breakdown with code: [Article link]

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Polymarket Trading Bot Dominance: 14 of Top 20 Wallets Are Automated
A review of Polymarket's public leaderboard turned up a number worth sitting with: 14 of the 20 most profitable wallets on the platform are bots. Not assisted by bots - fully automated.
The interesting part is where the edge actually comes from. It's mostly not better prediction - research estimates traders extracted roughly $40 million from Polymarket in a year by exploiting structural pricing inefficiencies faster than anyone else could react. Execution speed, not forecasting skill, is the dominant strategy.
Some individual numbers going around: one bot turned $313 into $414,000 in a month trading short-duration crypto markets. Another, running an AI-agent framework that reads news and adjusts positions automatically, made $115,000 in a week - though it's worth noting the CFTC has already flagged concern about fraudulent claims in exactly this category, and survivorship bias is obviously in play with any single headline number.
If you're building a Polymarket trading bot right now, the takeaway is that the remaining arbitrage opportunities are being contested by increasingly sophisticated competition, and execution speed matters more than most tutorials suggest.
Full breakdown:[Substack link]
Polymarket Trading Bot Execution: Fixing Stale Orderbook Fills
Most Polymarket trading bot writeups stop at the pricing model - how you calculate edge, what signals you use. Almost none cover what happens in the milliseconds after that decision is made, and on thin-liquidity markets, that gap is where a technically correct bot quietly loses money.
Between the moment a Polymarket trading bot fetches the order book and the moment its order actually reaches the exchange, the book can change. A single order can consume most of the visible liquidity in that window, and you end up filling at a price your model never actually evaluated.
The fix: a validation step immediately before order submission - re-fetch the live book, diff it against your pricing snapshot, and skip the trade if drift exceeds a set tolerance. One extra API call, meaningfully better fills.
Rule of thumb: if top-of-book depth is under ~3x your position size, treat staleness as your primary risk for any Polymarket trading bot - not model accuracy. Full breakdown with code: [Substack link]
Reconciling Polymarket's TWAP: A Python Monitoring Script
Follow-up to my post on why Polymarket is moving crypto market settlement to TWAP starting August 7 - this one's the actual implementation.
Chainlink doesn't publish the exact sampling boundaries or weighting methodology for the custom TWAP feed, so you can't independently derive the resolution price from scratch. What you can do: store every raw tick you observe (not pre-averaged data), compute your own TWAP over the same window Polymarket uses, and reconcile it against the published resolution price with a defined drift tolerance.
The script also handles a failure mode that didn't exist under the old single-tick resolution - feed gaps mid-window. If the last tick goes stale beyond a threshold, that needs to be caught before it matters for a live position, not after.
Testnet TWAP feeds are live now. Mainnet and RTDS launch August 4, giving a three-day live-fire testing window before settlement actually depends on it.
Full code + writeup: [Dev.to link]