docs: trade lifecycle fix plan — address review feedback

- Fixed struct name: ExperienceCollectorConfig (not GpuExperienceCollectorConfig)
- Fixed max_pos scoping: moved declaration before action_select launch
- Fixed exiting_trade ordering: preliminary variable before trailing stop
- Documented hardcoded 5-action limitation in branching_action_select
- Zero Q-gap during hold periods (conviction meaningless when forced)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
jgrusewski
2026-03-25 23:02:39 +01:00
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# Trade Lifecycle Fix — Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** Fix 4 trade lifecycle bugs that cause 77% turnover (620K trades / 800K bars) by adding 3 layers of defense: action masking, kernel hold override, and reward scaling. Target: <120K trades/epoch with min_hold_bars=5.
**Architecture:** Layer 1 (action masking in `experience_action_select`) prevents the agent from choosing exit/reversal during hold period. Layer 2 (kernel override in `experience_env_step`) catches any action that slips through masking. Layer 3 (reward scaling) gives smooth gradient toward longer holds. Config wires `min_hold_bars` through DQNHyperparameters → TOML → hyperopt.
**Tech Stack:** CUDA kernels (C), Rust (cudarc 0.19.3), TOML config.
**Critical path:** Only `experience_action_select` and `experience_env_step` in `experience_kernels.cu` are in the GPU-fused training loop. The `branching_action_select` in `epsilon_greedy_kernel.cu` is only used by the backtest evaluator and tests — not the training hot path.
---
## Task 1: Add `min_hold_bars` to config and wire through TOML
**Files:**
- Modify: `crates/ml/src/trainers/dqn/config.rs`
- Modify: `crates/ml/src/training_profile.rs`
- Modify: `config/training/dqn-smoketest.toml`
- Modify: `config/training/dqn-production.toml`
- [ ] **Step 1: Add `min_hold_bars` field to `DQNHyperparameters`**
In `config.rs`, after the `bars_per_day` field (~line 905), add:
```rust
/// Minimum bars to hold a position before allowing exit or reversal.
/// Prevents per-bar churning. Trailing stop can override after this period.
/// Default: 5 (about 5 minutes for 1-min bars). Range: [2, 20].
pub min_hold_bars: usize,
```
- [ ] **Step 2: Set default in `conservative()` and `Default` impl**
In `conservative()` (~line 1376 area, after `bars_per_day`):
```rust
min_hold_bars: 5,
```
- [ ] **Step 3: Add to TOML experience section in `training_profile.rs`**
Find the `ExperienceSection` struct (or the section that handles `[experience]` TOML). Add:
```rust
pub min_hold_bars: Option<usize>,
```
In the `apply_to()` method:
```rust
if let Some(v) = self.min_hold_bars {
hp.min_hold_bars = v;
}
```
- [ ] **Step 4: Update TOML files**
In `config/training/dqn-smoketest.toml`, add under `[experience]`:
```toml
min_hold_bars = 3
```
In `config/training/dqn-production.toml`, add under `[experience]`:
```toml
min_hold_bars = 5
```
- [ ] **Step 5: Build + test**
Run: `SQLX_OFFLINE=true cargo check -p ml --lib`
Run: `SQLX_OFFLINE=true cargo test -p ml --lib -- training_profile`
Expected: compiles, profile tests pass
- [ ] **Step 6: Commit**
```bash
git add crates/ml/src/trainers/dqn/config.rs crates/ml/src/training_profile.rs config/training/dqn-smoketest.toml config/training/dqn-production.toml
git commit -m "feat: add min_hold_bars config (default 5) — prevents per-bar churning"
```
---
## Task 2: Layer 2 — Fix hold enforcement in `experience_env_step` kernel
**Files:**
- Modify: `crates/ml/src/cuda_pipeline/experience_kernels.cu`
- Modify: `crates/ml/src/cuda_pipeline/gpu_experience_collector.rs`
This is the safety-net layer. Fix the dead code boolean, extend to reversals, update trailing stop threshold, and add reward scaling.
- [ ] **Step 1: Add `min_hold_bars` parameter to `experience_env_step` kernel**
In `experience_kernels.cu`, add `int min_hold_bars` to the kernel signature after the last existing parameter (`raw_returns_out`). Update the `@param` comment block.
- [ ] **Step 2: Pass `min_hold_bars` from Rust**
In `gpu_experience_collector.rs`, add `min_hold_bars: i32` to `ExperienceCollectorConfig` (note: the struct is `ExperienceCollectorConfig`, not `GpuExperienceCollectorConfig`). In the kernel launch (~line 1298-1327), add `.arg(&min_hold_bars_i32)` after the `raw_returns_out` arg. Compute `let min_hold_bars_i32 = config.min_hold_bars as i32;` before the launch. Also compute `let max_pos = config.max_position;` BEFORE the action_select launch (it's currently defined only at line 1293 for env_step — move it up so both launches can use it).
Wire it from `DQNHyperparameters`: in the constructor where config is built, set `min_hold_bars: hyperparams.min_hold_bars as i32`.
- [ ] **Step 3: Replace dead hold guard with unified hold enforcement**
In `experience_kernels.cu`, replace the block at lines 795-814 (the dead early-exit override) with:
```cuda
/* ════════════════════════════════════════════════════════════════════
* HOLD ENFORCEMENT: block ALL position changes during minimum hold.
* Applies to BOTH flat exits AND reversals.
*
* This replaces the old guard which was dead code:
* `prev_sign != 0 && curr_sign == 0 && !exiting_trade` was always
* false because exiting_trade = (prev_sign != 0 && curr_sign == 0).
*
* Layer 2 safety net — Layer 1 (action masking) should prevent most
* hold violations, but epsilon exploration can still slip through.
* ════════════════════════════════════════════════════════════════════ */
int wants_exit = (prev_sign != 0 && curr_sign == 0);
int wants_reversal = (prev_sign != 0 && curr_sign != 0 && prev_sign != curr_sign);
int hold_violation = (hold_time > 0.0f
&& hold_time < (float)min_hold_bars
&& (wants_exit || wants_reversal)
&& bar_idx < total_bars - 1); /* bypass at episode end */
if (hold_violation) {
/* Override: keep previous position, cancel the action */
position = ps[0];
cash = ps[1];
is_flat = (fabsf(position) < 0.001f) ? 1.0f : 0.0f;
/* Fix the stored action to match held exposure (prevent action aliasing) */
float prev_exposure_frac = ps[0] / (max_position > 0.0f ? max_position : 1.0f);
int held_exposure = (int)roundf((prev_exposure_frac + 1.0f) * 0.5f * (float)(b0_size - 1));
if (held_exposure < 0) held_exposure = 0;
if (held_exposure >= b0_size) held_exposure = b0_size - 1;
int original_order = (action_idx / b2_size) % b1_size;
int original_urgency = action_idx % b2_size;
action_idx = held_exposure * b1_size * b2_size + original_order * b2_size + original_urgency;
out_actions[out_off] = action_idx;
/* Recompute signs from overridden position */
curr_sign = prev_sign;
wants_exit = 0;
wants_reversal = 0;
}
/* Compute final trade lifecycle from (possibly overridden) state */
int exiting_trade = wants_exit;
int reversing_trade = wants_reversal;
int segment_complete = exiting_trade || reversing_trade;
```
Also REMOVE the old lines 716-720 (`int exiting_trade`, `int reversing_trade`, `int segment_complete`) since they move into the new block. Keep `entering_trade` at line 715 as it's not affected. Add a preliminary `exiting_trade` variable that the trailing stop block at line 790 can write to:
```cuda
int entering_trade = (prev_sign == 0 && curr_sign != 0);
int exiting_trade = 0; /* preliminary — trailing stop may set to 1, hold guard recomputes */
```
The trailing stop at line 790 sets `exiting_trade = 1;` — this variable must exist before the trailing stop block runs. The hold enforcement block below then recomputes it from the (possibly overridden) position.
- [ ] **Step 4: Update trailing stop threshold**
Change line 780 from:
```cuda
if (prev_sign != 0 && hold_time > 2.0f && peak_equity > 1.0f) {
```
to:
```cuda
if (prev_sign != 0 && hold_time >= (float)min_hold_bars && peak_equity > 1.0f) {
```
The trailing stop only fires after the hold period completes.
- [ ] **Step 5: Add reward scaling for short trades (Layer 3)**
After the existing reward computation (around line 927 where `reward` is fully computed), add:
```cuda
/* Layer 3: Reward scaling — shorter trades get proportionally less reward.
* Smooth gradient toward longer holds (vs binary cliff at min_hold).
* Floor at 10% to maintain gradient signal for very short trades
* that slip through (episode boundary, trailing stop override). */
if (segment_complete && segment_hold_time > 0.0f && min_hold_bars > 0) {
float hold_scale = fminf(segment_hold_time / (float)min_hold_bars, 1.0f);
hold_scale = fmaxf(hold_scale, 0.1f);
reward *= hold_scale;
}
```
- [ ] **Step 6: Build + test**
Run: `SQLX_OFFLINE=true cargo check -p ml --lib`
Run: `SQLX_OFFLINE=true cargo test -p ml --lib -- backtest`
Expected: compiles, backtest tests pass (kernel PTX compiles)
- [ ] **Step 7: Commit**
```bash
git add crates/ml/src/cuda_pipeline/experience_kernels.cu crates/ml/src/cuda_pipeline/gpu_experience_collector.rs
git commit -m "fix: hold enforcement in experience_env_step — blocks exits AND reversals during min_hold
Layer 2 (safety net): unified hold guard replaces dead code boolean.
Old guard (prev_sign!=0 && curr_sign==0 && !exiting_trade) was always
false. New guard covers both flat exits and reversals.
Layer 3 (gradient): reward scaled by hold_time/min_hold_bars (floor 10%).
Trailing stop respects min_hold_bars (was hardcoded > 2.0f)."
```
---
## Task 3: Layer 1 — Action masking in `experience_action_select`
**Files:**
- Modify: `crates/ml/src/cuda_pipeline/experience_kernels.cu`
- Modify: `crates/ml/src/cuda_pipeline/gpu_experience_collector.rs`
This is the primary defense layer — prevents the agent from even choosing exit/reversal during the hold period.
- [ ] **Step 1: Add parameters to `experience_action_select` kernel**
In `experience_kernels.cu`, update the `experience_action_select` kernel signature to add portfolio state access:
```cuda
extern "C" __global__ void experience_action_select(
const float* __restrict__ q_values,
int* out_actions,
unsigned int* rng_states,
float* out_q_gaps,
float epsilon,
int N,
int b0_size,
int b1_size,
int b2_size,
float q_gap_threshold,
const float* __restrict__ portfolio_states, /* NEW: [N, PORTFOLIO_STRIDE] */
int min_hold_bars, /* NEW */
float max_position /* NEW */
) {
```
- [ ] **Step 2: Add action masking logic**
After `int a0, a1, a2;` (line 374), add the hold-time check and masking:
```cuda
/* Hold enforcement: during minimum hold period, force current exposure.
* Prevents both greedy and random exploration from changing exposure.
* Portfolio state: ps[0] = position, ps[10] = hold_time. */
int ps_base = i * 20; /* PORTFOLIO_STRIDE = 20 */
float hold_time = portfolio_states[ps_base + 10];
float cur_position = portfolio_states[ps_base + 0];
int in_hold = (hold_time > 0.0f && hold_time < (float)min_hold_bars
&& min_hold_bars > 0);
if (in_hold) {
/* Compute current exposure index from position */
float exposure_frac = cur_position / (max_position > 0.0f ? max_position : 1.0f);
int cur_exp = (int)roundf((exposure_frac + 1.0f) * 0.5f * (float)(b0_size - 1));
if (cur_exp < 0) cur_exp = 0;
if (cur_exp >= b0_size) cur_exp = b0_size - 1;
a0 = cur_exp; /* Force current exposure — skip Q-value selection entirely */
/* Zero Q-gap during hold — conviction sizing is meaningless when forced */
if (out_q_gaps != NULL) {
out_q_gaps[i] = 0.0f;
}
} else {
```
Then wrap the existing exposure selection (both epsilon and greedy paths) in the `else` branch, and close with `}`.
- [ ] **Step 3: Pass portfolio_states to kernel launch**
In `gpu_experience_collector.rs`, update the action_select kernel launch (~line 1243-1259) to add the three new args:
```rust
.arg(&self.portfolio_states) // portfolio state for hold masking
.arg(&min_hold_bars_i32) // min_hold_bars
.arg(&max_pos) // max_position (for exposure index)
```
Add these after `.arg(&q_gap)`.
- [ ] **Step 4: Build + test**
Run: `SQLX_OFFLINE=true cargo check -p ml --lib`
Run: `SQLX_OFFLINE=true cargo test -p ml --lib -- backtest`
Expected: compiles, all tests pass
- [ ] **Step 5: Commit**
```bash
git add crates/ml/src/cuda_pipeline/experience_kernels.cu crates/ml/src/cuda_pipeline/gpu_experience_collector.rs
git commit -m "feat: action masking in experience_action_select — Layer 1 hold enforcement
During min_hold period, forces exposure to current position index.
Covers both greedy (Q-value) and random (epsilon) paths.
Portfolio state already GPU-resident — zero-copy parameter pass."
```
---
## Task 4: Add `min_hold_bars` to hyperopt search space
**Files:**
- Modify: `crates/ml/src/hyperopt/adapters/dqn.rs`
- [ ] **Step 1: Add `min_hold_bars` to `DQNParams`**
Find the `DQNParams` struct and add:
```rust
pub min_hold_bars: usize,
```
In `Default`:
```rust
min_hold_bars: 5,
```
- [ ] **Step 2: Add to search space bounds**
In `continuous_bounds()`, add a new dimension:
```rust
bounds.push((2.0, 20.0)); // min_hold_bars [2, 20]
```
In `param_names()`:
```rust
names.push("min_hold_bars");
```
- [ ] **Step 3: Wire in `from_continuous()` and `to_continuous()`**
In `from_continuous()`:
```rust
params.min_hold_bars = continuous[IDX].round() as usize;
params.min_hold_bars = params.min_hold_bars.clamp(2, 20);
```
In `to_continuous()`:
```rust
vec.push(self.min_hold_bars as f64);
```
- [ ] **Step 4: Wire to `build_hyperparams()`**
In `build_hyperparams()` where `DQNHyperparameters` is constructed:
```rust
hp.min_hold_bars = params.min_hold_bars;
```
- [ ] **Step 5: Build + test**
Run: `SQLX_OFFLINE=true cargo check -p ml --lib`
Run: `SQLX_OFFLINE=true cargo test -p ml --lib -- hyperopt`
Expected: all hyperopt tests pass (search space dimension increased by 1)
- [ ] **Step 6: Update test assertions for new search space dimension**
Any test that asserts the exact dimension count needs +1. Find with:
```bash
grep -rn "continuous_bounds.*len\|param_names.*len\|45\|39" crates/ml/tests/dqn_action_collapse_fix_test.rs
```
Update `>= 39` to `>= 39` (already flexible from our previous fix) or verify no hardcoded count.
- [ ] **Step 7: Commit**
```bash
git add crates/ml/src/hyperopt/adapters/dqn.rs
git commit -m "feat: min_hold_bars in hyperopt search space [2, 20]
Integer parameter (rounded from continuous). Lets PSO discover
optimal hold duration for ES futures regime characteristics."
```
---
## Task 5: Action masking in `branching_action_select` (backtest path)
**Files:**
- Modify: `crates/ml/src/cuda_pipeline/epsilon_greedy_kernel.cu`
- Modify: `crates/ml/src/cuda_pipeline/gpu_action_selector.rs`
This is the secondary path — used by the backtest evaluator and tests, not the training loop.
- [ ] **Step 1: Add portfolio state parameters to `branching_action_select`**
In `epsilon_greedy_kernel.cu`, add after the `bonus_urgency` parameter:
```cuda
const float* __restrict__ portfolio_state, /* [batch_size, 20] or NULL */
int min_hold_bars,
float max_position
```
Note: `portfolio_state` can be NULL when called without hold enforcement (backward compat).
- [ ] **Step 2: Add hold masking logic**
After `int exposure;` (line 192), add:
```cuda
/* Hold enforcement (when portfolio_state provided) */
int in_hold = 0;
int forced_exposure = -1;
if (portfolio_state != NULL && min_hold_bars > 0) {
float ht = portfolio_state[idx * 20 + 10]; /* hold_time */
float pos = portfolio_state[idx * 20 + 0]; /* position */
if (ht > 0.0f && ht < (float)min_hold_bars) {
in_hold = 1;
/* NOTE: branching_action_select currently hardcodes 5 exposure actions.
* Use 4.0f = (5-1) for index mapping. If this kernel is later updated
* to accept b0_size as a parameter, change to (b0_size-1). */
float frac = pos / (max_position > 0.0f ? max_position : 1.0f);
forced_exposure = (int)(roundf((frac + 1.0f) * 0.5f * 4.0f));
if (forced_exposure < 0) forced_exposure = 0;
if (forced_exposure >= 5) forced_exposure = 4;
}
}
if (in_hold) {
exposure = forced_exposure;
} else {
```
Wrap existing exposure selection in `else { ... }`.
- [ ] **Step 3: Update Rust kernel launch**
In `gpu_action_selector.rs`, pass NULL for portfolio_state and 0 for min_hold_bars (backtest evaluator doesn't enforce holds during evaluation — greedy argmax only):
Add after the existing `.arg(...)` calls:
```rust
.arg(&null_ptr) // portfolio_state (NULL — no hold enforcement in eval)
.arg(&0_i32) // min_hold_bars (0 = disabled)
.arg(&0.0_f32) // max_position (unused when disabled)
```
Where `let null_ptr: u64 = 0;` (NULL pointer as device address).
- [ ] **Step 4: Build + test**
Run: `SQLX_OFFLINE=true cargo check -p ml --lib`
Run: `SQLX_OFFLINE=true cargo test -p ml --lib`
Expected: 887+ tests pass
- [ ] **Step 5: Commit**
```bash
git add crates/ml/src/cuda_pipeline/epsilon_greedy_kernel.cu crates/ml/src/cuda_pipeline/gpu_action_selector.rs
git commit -m "feat: action masking in branching_action_select (backtest/eval path)
Adds portfolio_state + min_hold_bars params (nullable for backward compat).
Backtest evaluator passes NULL (no hold enforcement during evaluation)."
```
---
## Task 6: Integration test — validate trade count reduction
**Files:**
- No new files — validation only
- [ ] **Step 1: Run full ml test suite**
Run: `SQLX_OFFLINE=true cargo test -p ml --lib`
Expected: 887+ pass, 0 fail
- [ ] **Step 2: Run ml-dqn test suite**
Run: `SQLX_OFFLINE=true cargo test -p ml-dqn --lib`
Expected: 359 pass, 0 fail
- [ ] **Step 3: Workspace compilation**
Run: `SQLX_OFFLINE=true cargo check --workspace`
Expected: clean
- [ ] **Step 4: PTX compilation test**
Run: `SQLX_OFFLINE=true cargo test -p ml --lib -- test_metrics_ptx`
Expected: pass (verifies CUDA kernels compile)
- [ ] **Step 5: Commit all changes and push**
```bash
git push origin main
```
---
## Execution Order
```
Task 1 (config) → Task 2 (Layer 2: kernel override) → Task 3 (Layer 1: action masking)
→ Task 4 (hyperopt) → Task 5 (backtest path) → Task 6 (integration test)
```
Tasks 1-3 are sequential (each builds on the previous). Task 4-5 are independent but ordered for clean git history. Task 6 validates everything.
**Expected outcome:** Trade count drops from ~620K to ~120K per epoch (with min_hold_bars=5). The model learns multi-bar swing trading instead of per-bar churning.