Unlike the real stock market or most other prediction markets, Money:Tech Prediction Markets uses an "automated market maker" to control trading.
In typical stock markets, a human buyer must be matched with a human seller of stock. For example, if Joe is selling 50 shares at $50/share, there must be a buyer willing to pay that price and vice versa. The price of the stock itself is based on the supply and demand of the finite number of shares in play. In a real stock market and even most prediction markets in existence today, these transactions are all handled by computers, enabling millions of transactions like this to take place automatically each day.
In Money:Tech Prediction Markets, we do not force a buyer to be matched with a seller, and vice versa. From a trader's perspective, Money:Tech Prediction Markets is always the buyer and seller of shares and there is no limit to the number of shares in play. Money:Tech Prediction Markets also sets the stock price according to demand or lack there of. If a trader buys shares, there is demand for the stock and its price goes up. If a trader sells, there is a lack of demand and the price goes down.
The principles behind our algorithms originate from research by Professor Robin Hanson at George Mason University. Here is some background about Hanson's automated market maker: