diff --git a/workflows/scan-watchlist-icm/CONTEXT.md b/workflows/scan-watchlist-icm/CONTEXT.md
index 05c6a28..e5c3bd8 100644
--- a/workflows/scan-watchlist-icm/CONTEXT.md
+++ b/workflows/scan-watchlist-icm/CONTEXT.md
@@ -1,7 +1,7 @@
 # Workspace Context: Watchlist Confluence Scan
 
 ## Routing
-Given the goal to scan 54 tickers for trade setups with confluence, the workflow proceeds through stages:
+Given the goal to scan tickers for trade setups with confluence, the workflow proceeds through stages:
 
 1. **00_clarify** - Ask clarifying questions about long/short bias, time horizon, asset class focus.
 2. **01_broad_filter** - Perform broad filter across all tickers to narrow candidates.
diff --git a/workflows/scan-watchlist-icm/stages/00_clarify/CONTEXT.md b/workflows/scan-watchlist-icm/stages/00_clarify/CONTEXT.md
index d96eb8b..efa9913 100644
--- a/workflows/scan-watchlist-icm/stages/00_clarify/CONTEXT.md
+++ b/workflows/scan-watchlist-icm/stages/00_clarify/CONTEXT.md
@@ -8,6 +8,7 @@ Ask the user the following key questions to configure the scan:
 1. Long only, or long + short? (Specify bias: long, short, or both)
 2. Time horizon: 0DTE intraday scalps, or day/swing holds?
 3. Asset class focus: Equities only, or include ETFs (SPY/QQQ/TAN/SOXL/SQQQ/KRE) in the confluence review?
+4. Watchlist file: Enter the CSV filename (without path) located in the shared/ folder (e.g., cha-martin-watchlist.ms.csv or vertical-spread.csv).
 
 Record the answers in a markdown file.
 
diff --git a/workflows/scan-watchlist-icm/stages/01_broad_filter/CONTEXT.md b/workflows/scan-watchlist-icm/stages/01_broad_filter/CONTEXT.md
index edf7e3b..bee302b 100644
--- a/workflows/scan-watchlist-icm/stages/01_broad_filter/CONTEXT.md
+++ b/workflows/scan-watchlist-icm/stages/01_broad_filter/CONTEXT.md
@@ -2,11 +2,11 @@
 
 ## Inputs
 - Layer 4 (working): ../00_clarify/output/user_preferences.md
-- Layer 3 (reference): shared/cha-martin-watchlist.ms.csv
+  (contains the watchlist filename to use)
 
 ## Process
 1. Read user preferences to determine bias, time horizon, and asset class focus.
-2. Load the full ticker list from the watchlist CSV.
+2. Read the watchlist filename from user_preferences.md, then load the full ticker list from that CSV in the shared/ folder.
 3. Establish market context by pulling snapshot data for SPY and QQQ to determine the day's regime (trend, range, key levels).
 4. Perform a batch scan (using Finviz or equivalent) filtering for:
    - Price within ~3% of the 50-day MA
diff --git a/workflows/scan-watchlist-icm/stages/02_confluence_analysis/CONTEXT.md b/workflows/scan-watchlist-icm/stages/02_confluence_analysis/CONTEXT.md
index 2ba6e7b..ab8b926 100644
--- a/workflows/scan-watchlist-icm/stages/02_confluence_analysis/CONTEXT.md
+++ b/workflows/scan-watchlist-icm/stages/02_confluence_analysis/CONTEXT.md
@@ -2,10 +2,13 @@
 
 ## Inputs
 - Layer 4 (working): ../01_broad_filter/output/shortlist.md
-- Layer 3 (reference): shared/cha-martin-watchlist.ms.csv (full ticker list for reference)
+- Layer 4 (working): ../00_clarify/output/user_preferences.md
+  (contains the watchlist filename to use)
 
 ## Process
 For each ticker in the shortlist, evaluate the following confluence factors:
+
+First, read the watchlist filename from user_preferences.md and load the full ticker list from shared/<filename> as reference (if needed).
 1. Daily chart structure: load symbol, D timeframe to assess trend, price vs 50MA/200MA, support/resistance zones, base/consolidation patterns.
 2. Intraday setup: load 3-min or 5-min chart to examine VWAP relationship, pre-market gap vs overnight range, opening range break potential.
 3. Volume profile: check volume indicator for above-average volume confirming move or thin volume suggesting trap.