Quant & Cycle Trading Glossary

The four cycle states classify any symbol’s price structure into Uptrend, Top range, Downtrend, or Bottom range — one label that answers “where in the cycle are we right now?”

A macro regime is the overall market environment formed by rates, liquidity, growth, and risk appetite. The same strategy can perform completely differently across regimes.

A cycle transition is the moment a symbol switches from one cycle state to another — say, Bottom range into Uptrend. Transitions offer the best risk-reward window, and are also where most mistakes happen.

Procyclical assets move with the economic cycle (metals, brokers, discretionary consumer); countercyclical ones hold up when the economy turns down (utilities, consumer staples).

The same symbol can be in different cycle states on the daily and weekly timeframes. Weekly sets the direction, daily picks the timing — the foundation of multi-timeframe analysis.

The liquidity cycle is the loop of money getting looser or tighter across the financial system: easing inflates asset valuations, tightening compresses them. It is the common driver behind nearly every asset-price cycle.

The Bollinger midline is the middle band of the Bollinger Bands — a 20-period moving average marking the recent center of gravity of price. Its slope, and price’s position relative to it, are staple reads for the mid-term trend.

The EMA250 is a 250-period exponential moving average — roughly one year of trading days on a daily chart, hence “the yearly line.” It is one of the most widely used dividers between long-term bull and bear structure.

A golden cross is a short-term moving average crossing above a long-term one; a death cross is the opposite. Classic trend-turn signals — but weak on their own, and much stronger filtered by cycle state.

Overbought means price has stretched too far above its mean in the short run; oversold is the mirror. Usually gauged by oscillators like RSI. The trap: in trends, overbought can stay overbought for weeks — fading it is a classic way to lose.

Macro resonance is when a symbol’s own cycle state and the macro environment point the same way, reinforcing each other. Trends with macro behind them last longer; rallies against it are fragile.

Multi-factor resonance is when several relatively independent factor families — price structure, momentum, macro, flows — point the same way at once. More independent evidence, more reliable signal. Probability stacking, not mysticism.

The momentum factor captures “strength begets strength”: assets that outperformed over recent months tend, on average, to keep outperforming. One of the most thoroughly validated factors in both academia and live trading.

Mean reversion assumes price tends to snap back after stretching away from its mean. It does not contradict momentum: momentum rules medium-term trends, mean reversion rules short-term extremes and ranges.

Trend following never predicts tops or bottoms — it enters after a trend confirms and exits when the trend breaks. It trades a lower win rate for a high payoff ratio: cut losses short, let profits run.

In a range, price shuttles between boundaries and trend strategies bleed through repeated stops. Range strategies flip the playbook: sell high, buy low, shrink targets — and exit immediately when the range breaks.

Backtesting replays a strategy’s rules over historical data to see how it would have performed. Mandatory before going live — but an overfit backtest is more dangerous than none at all.

Win rate is the share of profitable trades; payoff ratio is average win over average loss. Together they set expectancy — judging a strategy by either one alone is a classic mistake.

Normally long-term rates exceed short-term rates; when the short end climbs above the long end, the curve inverts. Historically it has led recessions and equity cycle tops multiple times.

A credit spread is the yield gap between corporate bonds and same-maturity government bonds — the market’s live pricing of default risk. Widening spreads often lead risk-asset declines; it is the smart money’s fear gauge.

Macro liquidity is how abundant, cheap and mobile money is across the financial system — set jointly by central-bank policy, credit creation and fiscal flows. It is the water level under all asset valuations.

Risk appetite is the market-wide tilt toward embracing or fleeing risk, observable through volatility indices, safe-haven performance, and the high-beta-versus-low-beta return gap.

Position sizing decides how much capital each trade gets. It determines an account’s survival more than entry timing does: the right signal at the wrong size still blows up.

Stop-loss discipline means defining your exit condition before entry and executing it unconditionally when hit. A losing trade’s biggest cost is not the money — it is the position and the mindset it holds hostage.

Maximum drawdown is the largest peak-to-trough decline in equity — the single most painful stretch of a strategy’s life. It decides whether you can actually hold the system.