Ideas on AI, markets, and disciplined investing.
Most trading AIs are trained to memorize one stock at a time, which is exactly why they look brilliant in a backtest and fall apart live. TyBuff's engine was built the opposite way: one asset-agnostic model that learns the general grammar of price.
Building and back-testing a strategy is easy. Building one whose result you can actually trust is not. Here's the hidden bias that flatters almost every retail backtest, and the point-in-time engine, built for Pro members, that removes it.
Two of the biggest additions in TyBuff's history are live: the Market Explorer, which lets you read the entire market at a glance, and a Strategy Builder that can now build a dynamic, self-rebalancing portfolio straight from a Market Explorer ranking. Here's how they work, and why it matters.
Warren Buffett built a fortune on one deceptively simple idea: know what a business is worth, then wait for the market to offer it for less. TyBuff gives you both halves of that discipline, and a place to track your own conviction over time.
TyBuff goes beyond traditional backtesting by testing the full investment process: define the universe, apply proprietary models, customize timing and allocation rules, and evaluate how the strategy would have evolved through time.
Chatbots can explain markets, but serious investing needs a process users can inspect. Here is why TyBuff uses AI around repeatable strategy logic, not as a market oracle.
Carrhae shows how strength without adaptation can fail, and why AI should expand judgment, not replace it.
Robotics could weaken the economics of offshoring, bringing more production and industrial capacity back to Western markets.