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+---
+name: brain-how-to-pass-AlphaTest
+description: >-
+  Provides detailed requirements, thresholds, and improvement tips for WorldQuant BRAIN Alpha submission tests.
+  Covers Fitness, Sharpe, Turnover, Weight, Sub-universe, and Self-Correlation tests.
+  Use this when the user asks about alpha submission failures, how to improve alpha metrics, or test requirements.
+---
+
+# BRAIN Alpha Submission Tests: Requirements and Improvement Tips
+
+This skill provides key requirements and expert tips for passing alpha submission tests.
+For comprehensive details, thresholds, and community-sourced strategies, please read [reference.md](reference.md).
+
+## Overview
+
+Alphas must pass a series of pre-submission checks to ensure they meet quality thresholds.
+
+## 1. Fitness
+### Requirements
+- At least "Average": Greater than 1.3 for Delay-0 or Greater than 1 for Delay-1.
+- Fitness = Sharpe * sqrt(abs(Returns) / max(Turnover, 0.125)).
+
+### Tips to Improve
+- Increase Sharpe/Returns and reduce Turnover.
+- Use group operators (e.g., with pv13) to boost fitness.
+- Check with `check_submission` tool.
+
+## 2. Sharpe Ratio
+### Requirements
+- Greater than 2 for Delay-0 or Greater than 1.25 for Delay-1.
+- Sharpe = sqrt(252) * IR, where IR = mean(PnL) / stdev(PnL).
+
+### Tips to Improve
+- Focus on consistent PnL with low volatility.
+- Decay signals separately for liquid/non-liquid stocks.
+- If Sharpe is negative (e.g., -1 to -2), try flipping the sign: `-original_expression`.
+
+## 3. Turnover
+### Requirements
+- 1% < Turnover < 70%.
+
+### Tips to Improve
+- Use decay functions (`ts_decay_linear`) to smooth signals.
+
+## 4. Weight Test
+### Requirements
+- Max weight in any stock <10%.
+
+### Tips to Improve
+- Use neutralization (e.g., `neutralize(x, "MARKET")`) to distribute weights.
+
+## 5. Sub-universe Test
+### Requirements
+- Sub-universe Sharpe >= 0.75 * sqrt(subuniverse_size / alpha_universe_size) * alpha_sharpe.
+
+### Tips to Improve
+- Avoid size-related multipliers.
+- Decay liquid/non-liquid parts separately.
+
+## 6. Self-Correlation
+### Requirements
+- <0.7 PnL correlation with own submitted alphas.
+
+### Tips to Improve
+- Submit diverse ideas.
+- Use `check_correlation` tool.
+- Transform negatively correlated alphas.
+
+## General Guidance
+- **Start Simple**: Use basic operators like `ts_rank` first.
+- **Optimize Settings**: Choose universes like TOP3000 (USA, D1).
+- **ATOM Principle**: Avoid mixing datasets to benefit from relaxed "ATOM" submission criteria (Last 2Y Sharpe).