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Markets are driven by the actions of countless individuals, each reacting to his or her whims, the weather, and the news of the day. Remarkably, just as with army ants, out of all our individual actions emerges a higher order, a set of prices that allows us to buy and sell whatever we may desire.
Jessica C. Flack • Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984–2019 (Compass)



Future of Wealth Management and Investing
sari and • 64 cards
Being a relative momentum strategy the Gartley model watches for when prices are above or below previous prices. In Gartley's case, he uses three price series. When the three‐week moving average of the mean closes on a Friday above the six‐week moving average of the high (which is offset by two weeks), the model will go long on Monday's open. When
... See moreBrent Penfold • The Universal Tactics of Successful Trend Trading: Finding Opportunity in Uncertainty (Wiley Trading)
Once he has a net profit on a trade equal to 1% of his total equity, Brandt will take partial profits. Once a trade gets within 30% of his profit target, Brandt will employ much closer stop protection.
Jack D. Schwager • Unknown Market Wizards: The best traders you've never heard of
There is no Newtonian law of markets; they are all ephemeral relationships in a sea of noise and the only way you can do that and capture non-linearity and complexity is with a system that is rich enough to be able to contain all the models, so a universal approximator—that’s what neural nets are—and allows you to do that.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium

It traditionally assumed that firms were independent, and so changes would be independent, and so their sizes and aggregate effects would be distributed normally.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
