Momentum and mean reversion are the best first anchors because you can usually explain why they should work before you see any chart.
Strategy Library
Browse the built-in research set, then move into Strategy Studio and Research Lab when you want a bounded user-authored strategy workflow. Internal raw-code tools stay explicitly separate from normal discovery.
Use the library differently depending on whether you need orientation or selection speed.
Use Strategy Studio for bounded user-authored work, then come back here when you want the fastest scan across built-ins and saved studio strategies.
Start with one strategy family you can explain in plain language. The goal here is not to browse everything. It is to learn what kind of market behavior each class is trying to capture before you run a test.
Pick one momentum idea, one mean-reversion idea, and one volatility idea on the same ticker instead of hunting for a single best-looking card.
Use the library to narrow the question first. The backtest runner is where you learn whether the idea survives costs and holdout data.
Treat the library as a selection surface. Filter by class, pull a shortlist into compare, and look for strategy families whose behavior still makes sense after validation rather than relying on card-level appeal.
Use category and difficulty to decide whether you want trend capture, pullback behavior, volatility expansion, or slower factor exposure.
Shortlist peer strategies that answer the same market question so compare can reveal robustness gaps instead of mixing unrelated ideas.
The best use of library detail pages is checking when a class tends to break, not just confirming its sales pitch.
Choose the class before the chart
The library should narrow the market behavior you want to test, not tempt you into collecting pretty cards.
Strategy families & selection
Browse the library, shortlist peers, and compare them on one ticker before you trust any one of them.
Validation & skepticism
Run backtests with realistic costs, then use compare to punish ideas whose story collapses outside sample.
Bollinger Band Mean Reversion
Buy the dip below the lower band, sell the spike above the upper band.
Rates Carry Proxy
Uses 10Y yield direction as a duration proxy, not a cross-asset carry engine.
This is a narrow rates-duration proxy that borrows the carry intuition. It should not be read as a general carry implementation across asset classes.
Donchian Channel Breakout
Long on new N-day highs, short on new N-day lows — the original Turtle Trading entry rule.
Dual Momentum Heuristic
Antonacci-style single-asset proxy using T-bill and SPY filters rather than a full asset-allocation implementation.
This keeps the dual-momentum intuition visible, but it is not a canonical Antonacci switcher across offensive and defensive asset sleeves.
52-Week High Momentum
Long when price is within a threshold of the 52-week high — anchoring psychology as edge.
Kalman Filter Trend
Use a 1D Kalman filter to estimate the latent price trend; trade in the direction of the filter.
Linear Regression Channel
OLS-fit a trend line over a rolling window; trade when price breaks outside its confidence band.
Moving Average Crossover
Long when the fast SMA crosses above the slow SMA, short when below.
MACD Momentum
Trade crossovers of the MACD line and its signal line for trend confirmation.
Mean-Variance Position Sizing
Size positions optimally as μ/σ² scaled by risk aversion — Markowitz meets dynamic trading.
Ornstein-Uhlenbeck Mean Reversion
Fit an OU process to log prices and trade when deviation exceeds the threshold.
Pairs Trading (Cointegration)
Trade the spread between two cointegrated assets back to equilibrium.
Rate of Change Momentum
Long when N-day price ROC exceeds a threshold, short when below the negative threshold.
RSI Mean Reversion
Long when RSI is oversold, short when overbought.
Time Series Momentum (TSMOM)
Long if past return is positive, short if negative. Trend-following at its simplest.
Volatility Breakout
Enter long when today's range exceeds a multiple of the ATR, signalling a momentum burst.
Low-Volatility Regime Heuristic
A long-only calm-volatility proxy, not a full volatility relative-value or implied-vs-realised strategy.
This captures a low-volatility regime intuition through realised-vol z-scores. It is not a complete volatility mean-reversion implementation with options, spreads, or explicit short-vol carry.
Return Z-Score Reversion
Standardizes recent returns into a z-score; cleaner than price bands, but not a full stat-arb convergence engine.
This trades single-asset return shocks, not a richer cross-sectional or market-neutral statistical-arbitrage stack.