Live market data · Educational only

Crypto trading insights
& algorithm guide

Track live prices, explore historical trends, understand trading algorithms, and calculate potential returns.

⚠ Educational purposes only — not financial advice
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Live prices

Top 10 cryptocurrencies

Updates every 60 seconds via CoinGecko public API.

AssetPrice24hMarket cap7d
Historical trends

Price chart

BTC / USD
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Market sentiment

Fear & Greed

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Trading strategies

Popular algo strategies

Common algorithmic approaches used by crypto traders. Each has different risk profiles and ideal market conditions.

Moving Average Crossover

Trend following

Buys when a short-term MA crosses above a long-term MA (golden cross) and sells on the death cross. Best for trending markets.

Complexity: Low
Best for: Bull markets
Risk: Medium

RSI Mean Reversion

Counter-trend

Uses the Relative Strength Index to identify overbought (>70) and oversold (<30) conditions, trading against the short-term trend.

Complexity: Low
Best for: Ranging markets
Risk: Medium

MACD Momentum

Momentum

Combines two EMAs to identify momentum shifts. Signals are generated when MACD crosses its signal line, confirming trend direction.

Complexity: Medium
Best for: Trending markets
Risk: Medium-High

Grid Trading

Market-neutral

Places buy and sell orders at fixed price intervals creating a grid. Profits from volatility in either direction without predicting trend.

Complexity: Medium
Best for: Sideways markets
Risk: Low-Medium

Bollinger Band Squeeze

Volatility

Identifies periods of low volatility (band squeeze) as precursors to large moves, entering positions when the bands expand.

Complexity: Medium
Best for: Breakout trades
Risk: High

DCA (Dollar Cost Avg)

Long-term

Invests a fixed amount at regular intervals regardless of price. Removes emotion and timing risk — ideal for long-term holders.

Complexity: Very Low
Best for: Long-term investing
Risk: Low
ROI Calculator

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