Ogge Coder

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 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 @NelySb I'll DM you the complete setup.

You don’t need to master every AI algorithm. You need to know which one solves the problem you’re facing. Artificial Intelligence is evolving fast, and understanding its core algorithms can give you a serious advantage in the digital world. But here’s the mistake many beginners make: they try to learn everything at once. The smarter approach is to understand the fundamentals first, then explore the algorithms that align with your goals. Here are 30 AI algorithms worth knowing 👇 1. Linear Regression — Predicts continuous values. 2. Logistic Regression — Estimates probabilities for classification. 3. Decision Trees — Makes decisions using rule-based branches. 4. Random Forest — Combines multiple decision trees for better predictions. 5. Support Vector Machines (SVM) — Separates data into different classes. 6. K-Nearest Neighbors (K-NN) — Classifies data based on nearby examples. 7. Naive Bayes — Uses probability for classification. 8. Gradient Boosting — Builds models sequentially to reduce errors. 9. AdaBoost — Improves performance by focusing on difficult examples. 10. XGBoost — A powerful gradient-boosting algorithm. 11. K-Means Clustering — Groups similar data points. 12. Hierarchical Clustering — Organizes data into a hierarchy of clusters. 13. DBSCAN — Identifies dense clusters and potential outliers. 14. Principal Component Analysis (PCA) — Reduces dimensionality while retaining important information. 15. t-SNE — Helps visualize high-dimensional data. 16. Q-Learning — Learns actions through rewards and penalties. 17. SARSA — Learns policies through state-action experiences. 18. Deep Q-Network (DQN) — Combines Q-learning with deep neural networks. 19. Policy Gradient — Optimizes decision-making policies directly. 20. Actor-Critic — Combines policy learning with value estimation. 21. Artificial Neural Networks (ANN) — Learn patterns through interconnected computational units. 22. Convolutional Neural Networks (CNN) — Excel at many image-related tasks. 23. Recurrent Neural Networks (RNN) — Process sequential data. 24. Long Short-Term Memory (LSTM) — Helps neural networks learn longer-term dependencies. 25. Transformers — Use attention mechanisms to process contextual relationships in data. 26. K-Means++ — Improves initial cluster-center selection for K-Means. 27. Autoencoders — Learn compressed representations of data. 28. Isolation Forest — Detects unusual data points and anomalies. 29. Markov Decision Processes (MDPs) — Provide a framework for sequential decision-making under uncertainty. 30. Genetic Algorithms — Explore solutions using principles inspired by natural evolution. Here’s the bigger lesson: You don’t need to memorize all 30 algorithms to get started with AI. Start with regression and classification. Move into clustering and neural networks. Then explore deep learning, transformers, and reinforcement learning as your understanding grows. Learn the problem each algorithm solves, when to use it, and what its limitations are. That’s how you move from simply knowing AI terminology to actually understanding how AI systems work. The future won’t belong only to people who use AI tools. It will also reward those who understand how to choose the right tools for the right problems. 👇 Follow me @NelySb for more AI information If you could master just ONE of these 30 algorithms first, which one would you choose—and why?

50 legendary internet rabbit holes you can spend hours exploring👇 1. zoom.earth — Watch the world via live satellite imagery 2. flightradar24.com — See every plane currently in the sky 3. marinetraffic.com — Track all ships at sea in real time 4. windy.com — Live map of winds and storms 5. lightningmaps.org — Watch lightning strikes hitting Earth in real time 6. earthquake.usgs.gov — Live list of recent earthquakes 7. submarinecablemap.com — Ocean cables carrying the internet 8. globalforestwatch.org — Watch forests disappear from space 9. worldometers.info — The world's statistics, second by second 10. internetlivestats.com — Current number of tweets and searches being posted 11. thetruesize.com — Compare the true sizes of countries 12. oldmapsonline.org — Maps from centuries ago 13. davidrumsey.com — Archive of 150,000 historical maps 14. openstreetmap.org — World map drawn by volunteers 15. window-swap.com — Look out the window of a random person around the world 16. virtualvacation.us — Virtual walks through cities 17. mapcrunch.com — Teleport to a random spot on Earth 18. atlasobscura.com — Catalog of the world's strangest places 19. neal.fun — Interactive knowledge experiences 20. htwins.net/scale2 — Scale journey from atom to universe (Updated HTML5 link) 21. eyes.nasa.gov — Explore the solar system in 3D 22. stellarium-web.org — Real sky map in your browser 23. apod.nasa.gov — NASA's astronomy picture of the day 24. images.nasa.gov — NASA's entire visual archive, free 25. pudding.cool — Visual articles told through data 26. ourworldindata.org — The state of the world with real data 27. gapminder.org — What we mistakenly think we know about the world 28. informationisbeautiful.net — Visualizing complex data 29. data.worldbank.org — World Bank's open data 30. data.tuik.gov.tr — Turkey's official statistics database 31. archive.org — Archive of millions of books, films, and software 32. gutenberg.org — 70,000 free books whose copyrights have expired 33. openlibrary.org — Record of every book in the world 34. loc.gov — U.S. Library of Congress digital archive 35. europeana.eu — Europe's cultural heritage archive 36. dp.la — America's digital library collection 37. artsandculture.google.com — Tour museums from home 38. rijksmuseum.nl — Download artworks in high resolution 39. wikiart.org — Archive of 250,000 artworks 40. publicdomainreview.org — Forgotten visual treasures of history 41. openculture.com — Free archive of culture and education 42. metmuseum.org — Met Museum's open collection 43. musicmap.info — Family tree of music genres 44. radiooooo.com — Pick a country and decade to listen to that era 45. listen.hatnote.com — Turn Wikipedia edits into audio 46. wikipedia.org — Random knowledge well 47. timeanddate.com — Time, sunrises, and sky events 48. sciencedaily.com — Live stream of science news 49. arxiv.org — Free preprints of scientific papers 50. observablehq.com — Visualize data with live code Save this. You’ll definitely need some of these later. 🔖 Follow @NelySb for more useful websites, AI tools & tech resources.