Strategy Recommendations
Warren surfaces strategies from a vetted preset library ranked by regime fit, lets you build your own in plain English, and versions everything so any result traces back to the exact code that produced it.
After your onboarding preferences are completed, Warren prepares a personalized strategy environment. Warren is a marketplace for strategies, not signals: instead of chasing one-off calls, you discover transparent, data-backed strategies and match them to the market you are actually in.
Intelligent setup
The current setup process includes:
- Analyzing your setup
- Evaluating strategies
- Matching risk preferences
- Fetching market intelligence
- Preparing initial strategies
- Optimizing recommendations
This phase is fully automated and designed to simplify onboarding.
Strategy recommendation cards
After setup completes, Warren surfaces personalized strategy recommendations.
Each current recommendation card includes:
- Strategy category
- Market type
- Timeframe
- Success metrics
- Regime match confidence
- Historical win rate
- Strategy description
You must currently select at least one strategy before continuing. This reinforces Warren's strategy-first workflow.
Where strategies come from
Warren draws candidates from three places, and every one of them is a first-class strategy you can backtest, tune, deploy, version, and publish:
- A vetted preset library. Curated, pre-tested strategies. Each preset ships with per-regime and per-token performance history, so you see where it has worked before you commit.
- Your saved strategies. Anything you have built, cloned, or tuned lives in your own library.
- The community marketplace. Strategies published by other traders, each carrying a verified track record the platform computed itself.
Ranked by regime fit
No single strategy wins in every market, so Warren does not hand you a generic "best" list. It classifies the market's current state first, then ranks candidates by how well their category fits that state. Warren can also explain any strategy's rules back to you in plain language before you decide.
The regime-fit prior is simple and honest about where each style of strategy earns its edge:
| Strategy category | Regimes where it should have an edge |
|---|---|
| Momentum, Trend-following, Breakout, Volatility | Bullish or bearish (any strong trend) |
| Scalping | Ranging, bullish |
| Grid, Mean-reversion | Ranging |
A strategy that looks like it performs "the same everywhere" is usually either genuinely all-weather (rare, and typically defensive by design) or, far more often, has an edge too small to distinguish from noise. Warren treats a fitted regime match as a starting point, not a verdict, the honest test still happens in Building and Backtesting.
Build your own
You are not limited to the catalog. You build a new strategy two ways, and both converge on the same runnable artifact:
Either path is validated before saving (structure, indicator parameters, risk attributes) and categorized into the same taxonomy the regime-fit ranking uses. From there it behaves like any preset: backtest it, tune it, deploy it, and publish it.
Continue
Building and Backtesting
Validate a strategy per regime and full-period before it earns any capital.
Trading Modes
Choose paper, live, or demo, and start with zero risk.
Next: Trading Modes
Core Concepts
The core vocabulary behind Warren: market regime, the cascade, backtest modes, paper vs live, the three-way verdict, and closed candles.
Trading Modes
Warren always starts in paper: simulated funds, live market data, and no exchange keys required. Going live is a separate, deliberate step you take only when a strategy has earned it.