Strategies

Automated trading strategies

Compare how each strategy works, the costs it has to overcome and the conditions that can make it fail.

Crypto algo trading

How spot and perpetual algorithms move from an idea to live orders—and where backtests tend to overstate results.

The mechanics of systematic trend following, from regime persistence and breakout logic to whipsaw risk and execution costs.

How spreads, latency, turnover and fees affect AI scalping and crypto scalping bots—and why speed alone does not create an edge.

What happens between a leader trade and a follower fill, including lag, sizing differences, slippage and platform risk.

How futures trading bots handle leverage, perpetual funding, margin and liquidation, and which controls matter before live use.

How price, triangular, basis and funding-rate arbitrage work after fees, slippage, latency and missed or partial fills.

How funding-rate arbitrage and crypto carry trades work, including hedge drift, changing basis and liquidation risk.

Compare strategies

01Crypto algorithmic trading
How trading rules become live crypto orders.
02Trend following
Momentum rules, whipsaw and regime dependence.
03AI scalping
Small gross edges under fees, latency and queue risk.
04Crypto copy trading
Leader-following under lag, sizing drift and hidden incentives.
05Futures trading bots
Leverage, funding, margin and liquidation controls.
06Arbitrage bots
Stale quotes, partial fills and costs that erase the spread.
07Funding-rate arbitrage
Carry, basis and market-neutral drift.