How machine learning reads market sentiment
Language models now scan thousands of headlines a minute. We explain what they look for, how the signal is weighted and where their blind spots are.
Plain-language analysis on artificial intelligence, digital assets and the Canadian market, written by the people who build the engine.
Language models now scan thousands of headlines a minute. We explain what they look for, how the signal is weighted and where their blind spots are.
The CRA generally treats crypto disposals as capital gains or business income. Here is how to keep records that make filing season painless.
A strategy that shines on historical data can stumble in real markets. Slippage, latency and regime changes are usually to blame.
Canadian securities regulators treat many stablecoins as value-referenced crypto assets. We break down what that means for everyday investors.
VaR puts a number on how much a portfolio could lose on a bad day. Learn how our engine uses it, and why it is only one guardrail among many.
Past halvings were followed by strong rallies, but the sample is tiny. A sober look at the data before you build a thesis around it.
Black-box predictions are hard to trust. See how feature attribution lets you check why the engine wants to buy, sell or hold.
Most digital assets are priced in US dollars. Here is how exchange-rate swings can add to, or erase, gains measured in Canadian dollars.
More parameters do not mean better predictions. How our research desk tests models on unseen data before they ever touch client capital.
Where your coins are held matters as much as what you buy. We compare custody models and explain how Tauxmix protects client assets.
Open an account and let the engine apply these ideas to your own portfolio.
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