Strategy Leaderboard
Strategy Leaderboard is the discovery surface for strategies. Use it to inspect curated strategy families and their ranked variants, then copy the ones you want into your Library for reuse.
On this page
What the leaderboard shows
The leaderboard lists ArthaPilot's native strategy catalog: curated families (trend-following, dual momentum, defensive rotation, classic allocations) and their concrete variants. Each row shows the variant's backtest metrics, a compact equity curve, and a clone action.
- Families and variants: a family is one approach (for example Leverage for the Long Run). Variants apply it to different tickers or parameters (for example an SSO and a UPRO variant).
- Detail pages: each strategy has its own page with methodology, source citation, headline metrics, and a link to backtest it with your own inputs.
- Filters and search: narrow by family, tag, or name. The URL keeps the sort selection, so you can share a filtered view.
Ranking windows and metrics
The leaderboard ranks every row over the same shared window, shown on the page, so metrics are comparable across strategies with different inception dates. Expanded rows also show the variant's full natural backtest window when it differs from the ranking interval. This keeps long histories and ranked metrics separate.
| Rank Metric | What Ranks First |
|---|---|
| Sharpe (default) | Highest risk-adjusted return over the shared window. |
| CAGR | Highest compound annual growth rate. |
| 1Y / 3Y / 5Y return | Highest trailing return. |
| Best max drawdown | Shallowest worst decline. Drawdowns are negative, so the value closest to zero ranks first. |
Copy to Library
- Sign in, then use the clone action on a leaderboard row or detail page.
- The copy becomes a Library strategy you own, managed from Workspace. The original catalog entry does not change.
- Edit the copy in Strategy Builder (change tickers, signals, weights, rebalancing) and reuse it in backtests, tactical workflows, and live monitoring.
How strategies work
Every catalog strategy uses the same model you get in Strategy Builder: one or more conditions (named allocation rules) checked top to bottom. The first condition whose signal is true becomes active, and the last condition is the signal-free fallback. The detailed references live on their own pages:
- Signals guide: signal types, parameters, the 1-bar evaluation lag, and composite AND / OR / NOT rules.
- Strategy Builder and tactical allocation guide: building and backtesting strategies, ranked allocation, fixed sleeves, and costs.
- Rebalancing guide: time-based and threshold-based rebalance policies.
- Portfolio Backtest guide: using a saved strategy as an allocation inside a multi-sleeve portfolio.
- Ticker Modifiers guide: leverage, expense ratios, extended-history (.SIM) tickers, and expression syntax.
Example: leverage for the long run (LFLR)
LFLR stands for Leverage for the Long Run, the Gayed and Bilello trend-following approach behind several catalog entries. It is a two-condition signal strategy that holds a 3x LETF in the risk-on state:
- Risk-on condition: signal = SPY above its 200-day moving average. Position: 100% UPRO (3x S&P 500).
- Risk-off condition: fallback (no signal). Position: 100% SHY (short-term Treasuries).
- Rebalance: monthly.