diff --git a/crates/ml/src/cuda_pipeline/experience_kernels.cu b/crates/ml/src/cuda_pipeline/experience_kernels.cu
index 23df9e388..9d4864fae 100644
--- a/crates/ml/src/cuda_pipeline/experience_kernels.cu
+++ b/crates/ml/src/cuda_pipeline/experience_kernels.cu
@@ -629,7 +629,7 @@ extern "C" __global__ void experience_state_gather(
      *   +3: momentum = close_now vs midpoint of N-bar range (0=bottom, 1=top)
      */
     const int lookbacks[4] = {5, 15, 60, 240};
-    int mtf_base = market_dim + 8;
+    int mtf_base = market_dim + 14;  /* after 14 portfolio features (8 base + 6 plan) */
     for (int lb = 0; lb < 4; lb++) {
         int Nlb = lookbacks[lb];
         int past_idx = bar_idx - Nlb;
diff --git a/crates/ml/src/trainers/dqn/trainer/constructor.rs b/crates/ml/src/trainers/dqn/trainer/constructor.rs
index 6ce11f2fa..0db7a4eec 100644
--- a/crates/ml/src/trainers/dqn/trainer/constructor.rs
+++ b/crates/ml/src/trainers/dqn/trainer/constructor.rs
@@ -49,8 +49,8 @@ impl DQNTrainer {
         // Align input_dim to 8 so the log matches the actual model dimensions.
         // (device not yet created, so use the formula directly  -- CUDA always aligns)
         let ofi_pre = !hyperparams.mbp10_data_dir.is_empty();
-        // 42 market + 12 portfolio (8 base + 4 plan progress) + 16 multi-timeframe = 70 base, +20 OFI = 90
-        let input_dim: usize = if ofi_pre { 96 } else { 72 }; // (90+7)&!7=96, (70+7)&!7=72
+        // 42 market + 14 portfolio (8 base + 6 plan) + 16 multi-timeframe = 72 base, +20 OFI = 92
+        let input_dim: usize = if ofi_pre { 96 } else { 72 }; // (92+7)&!7=96, (72+7)&!7=72
         let output_dim: usize = 5;
         let hidden_dims: Vec<usize> = match hyperparams.hidden_dim_base {
             Some(base) => {
@@ -252,7 +252,7 @@ impl DQNTrainer {
         // of falling back to scalar FMA. The extra columns are zero-padded at the
         // data pipeline boundaries (GpuPreloadedData and train_batch CPU path).
         let ofi_enabled = !hyperparams.mbp10_data_dir.is_empty();
-        let raw_state_dim: usize = if ofi_enabled { 90 } else { 70 }; // 42 market + 12 portfolio + 16 MTF + (20 OFI)
+        let raw_state_dim: usize = if ofi_enabled { 92 } else { 72 }; // 42 market + 14 portfolio + 16 MTF + (20 OFI)
         let full_state_dim = (raw_state_dim + 7) & !7; // aligned: 88 with OFI, 72 without
 
         // state_dim is always the FULL padded dimension. The GpuDqnTrainer