Archives

Trading via fully automated computer programs — rules executed by code, no human discretion per trade.

Increasing size after wins and decreasing after losses — the opposite of martingale, mathematically sound.

Simultaneously buying and selling related instruments to profit from price discrepancies — theoretically risk-free.

Borrowing in a low-yield currency and investing in a high-yield currency to capture the interest rate differential.

Automatically replicating another trader's positions in your own account — modern incarnation of mirror trading.

Opening and closing all positions within the same trading day — no overnight exposure.

Trading based on human judgment of each setup, rather than fully mechanical rules.

Placing buy/sell orders at fixed price intervals — profits from price oscillation but accumulates large positions in trending markets.

Algorithmic trading at extreme speed and frequency — microsecond hold times, thousands of trades per day.

Exploiting price lag between a fast price source and a slower broker feed — usually banned in broker T&Cs.

Doubling position size after every loss — recovers all prior losses with one win, but blows up on long losing...

Trading on the assumption that price will return to its average — buying overshoots, selling overshoots in the other direction.

Strategies built around scheduled economic releases — NFP, CPI, FOMC, central bank decisions.

Holding trades for weeks to months — focused on long-term trends and macro themes.

Buying near support and selling near resistance when price is consolidating without trend — opposite of breakout trading.

A trading style aimed at small profits (1–10 pips) per trade, held seconds to minutes, with high trade frequency.

Trading platforms with social features — follow, discuss, copy other traders. Broader concept than copy trading.

Trading the temporary divergence between historically correlated instruments — expecting reversion to the mean.

Holding positions for several days to a few weeks, capturing the 'swings' between higher-timeframe highs and lows.

Buying strength and selling weakness — staying in trades for as long as the trend persists.