diff --git a/crates/fidc-core/src/lib.rs b/crates/fidc-core/src/lib.rs
index a0d87b9..4f76163 100644
--- a/crates/fidc-core/src/lib.rs
+++ b/crates/fidc-core/src/lib.rs
@@ -84,9 +84,10 @@ pub use strategy::{
 };
 pub use strategy_ai::{
     ManualExample, ManualFactorSource, ManualField, ManualFieldGroup, ManualFunction,
-    ManualSection, StrategyAiCatalog, StrategyAiGenerateRequest, StrategyAiManual,
-    StrategyAiOptimizeRequest, build_generation_prompt, build_optimization_prompt,
-    built_in_strategy_manual, merge_catalog_into_manual, render_manual_markdown,
+    ManualSection, StrategyAiCatalog, StrategyAiGenerateRequest, StrategyAiHoldingCountContract,
+    StrategyAiManual, StrategyAiOptimizeRequest, build_generation_prompt,
+    build_optimization_prompt, built_in_strategy_manual, merge_catalog_into_manual,
+    render_manual_markdown,
 };
 pub use universe::{
     BandRegime, DynamicMarketCapBandSelector, SelectionContext, SelectionDiagnostics,
diff --git a/crates/fidc-core/src/strategy_ai.rs b/crates/fidc-core/src/strategy_ai.rs
index 4a7dbc6..015903e 100644
--- a/crates/fidc-core/src/strategy_ai.rs
+++ b/crates/fidc-core/src/strategy_ai.rs
@@ -72,6 +72,29 @@ pub struct StrategyAiCatalog {
     pub data_lake_fields: Vec<ManualFactorSource>,
 }
 
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct StrategyAiHoldingCountContract {
+    #[serde(
+        default,
+        alias = "holdingCount",
+        alias = "holding_count",
+        alias = "targetHoldingCount",
+        alias = "target_holding_count"
+    )]
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub count: Option<i64>,
+    #[serde(
+        default,
+        alias = "kind",
+        alias = "holdingCountMode",
+        alias = "holding_count_mode",
+        alias = "targetHoldingCountMode",
+        alias = "target_holding_count_mode"
+    )]
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub mode: Option<String>,
+}
+
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct StrategyAiGenerateRequest {
     pub user_goal: String,
@@ -79,6 +102,9 @@ pub struct StrategyAiGenerateRequest {
     pub market: String,
     pub benchmark_symbol: String,
     pub signal_symbol: String,
+    #[serde(default, alias = "holdingCountContract")]
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub holding_count_contract: Option<StrategyAiHoldingCountContract>,
 }
 
 #[derive(Debug, Clone, Serialize, Deserialize)]
@@ -87,6 +113,9 @@ pub struct StrategyAiOptimizeRequest {
     pub objective: String,
     pub result_summary: serde_json::Value,
     pub diagnostics: Vec<String>,
+    #[serde(default, alias = "holdingCountContract")]
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub holding_count_contract: Option<StrategyAiHoldingCountContract>,
 }
 
 const DEFAULT_THREE_YEAR_RETURN_TARGET_PROMPT: &str = "默认收益目标：用户没有明确指定更高收益阈值时，三年回测区间策略总收益 >= 150% 即视为满足收益目标；达到该阈值后可以继续优化夏普、回撤、换手和稳定性，但不得把已达标策略判为失败或为了追更高收益破坏无未来数据、持仓数量和同条件对账合同。";
@@ -602,6 +631,7 @@ mod tests {
                 market: "CN_A".to_string(),
                 benchmark_symbol: "000852.SH".to_string(),
                 signal_symbol: "000001.SH".to_string(),
+                holding_count_contract: None,
             },
         );
 
@@ -624,6 +654,7 @@ mod tests {
                 objective: "优化收益".to_string(),
                 result_summary: json!({ "total_return": 1.49 }),
                 diagnostics: Vec::new(),
+                holding_count_contract: None,
             },
         );