Current selected coin: BTC
Learn how buying, selling and portfolio profit/loss works.
This is a paper-trading learning game designed to help you practise how crypto trading works without risking real money.
Practise buying and selling, Market Orders, Limit Orders, Stop Loss and Take Profit, Open Orders, trading fees and spread, portfolio value, average entry price, profit/loss and trade history.
Traders sometimes look for repeating shapes in price charts. This is called technical analysis. Patterns are clues about possible buying and selling behaviour, not reliable predictions or guarantees. Similar shapes can also appear in random price movements.
Three peaks: a smaller left shoulder, a higher middle head, and a smaller right shoulder. Traders watch the neckline joining the lows between peaks. A move below that neckline may suggest weakness, but false breaks happen.
The upside-down version has three troughs, with the middle trough deepest. Traders look for a break above the neckline as a possible bullish signal.
A rounded dip forms the cup, followed by a smaller pullback or sideways move forming the handle. Traders watch for a break above resistance near the cup rim. Not every rounded chart is a valid setup.
A double top has two peaks around a similar level and may suggest selling pressure if support breaks. A double bottom has two lows around a similar level and may suggest buying strength if resistance breaks.
When price swings become narrower, they can form ascending, descending or symmetrical triangles. Traders watch whether price eventually breaks upward or downward. The direction is never certain.
This trainer is for education and entertainment only. It is not a real exchange, broker, wallet or investment service, and nothing shown here should be treated as financial advice. Real cryptocurrency markets can be highly volatile and real trading can result in financial loss.
Live/reference cryptocurrency data in Real Market Mode is provided using CoinGecko. Trainer fees, spread and simulated-market behaviour are learning features and do not represent the exact terms of any particular real exchange.