
Dividend Tracking
- 33 installs
- 316 repo stars
- Updated August 1, 2026
- aojdevstudio/finance-guru
dividend-tracking is a Claude Code skill that syncs Fidelity dividend data into a Google Sheets Dividends tab and processes it into a historical log via Apps Script.
About
This skill imports Fidelity dividend data into a Google Sheets Dividends tab and triggers an Apps Script to process it into a historical log. A user runs it to sync dividends, and it reads either live SnapTrade activities or a dividend.csv, calculates dividends received as quantity times amount per share, and writes to the input area before invoking the processing function. It aggregates by ticker and filters to pay dates that have already passed.
- Syncs Fidelity dividend data into a Google Sheets Dividends tab
- Calculates dividends received as shares times amount per share
- Prefers live SnapTrade activities with CSV as a fallback
Dividend Tracking by the numbers
- 33 all-time installs (skills.sh)
- Ranked #650 of 1,106 Finance & Trading skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
dividend-tracking capabilities & compatibility
- Capabilities
- dividend tracking
- Works with
- google drive
- Use cases
- data analysis · trading
What dividend-tracking says it does
Sync dividend data from Fidelity CSV to Dividends sheet.
Import Fidelity dividend CSV data into the Dividends sheet input area, then trigger the Apps Script to process records into the historical log.
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| Installs | 33 |
|---|---|
| repo stars | ★ 316 |
| Last updated | August 1, 2026 |
| Repository | aojdevstudio/finance-guru ↗ |
What it does
A user syncs their Fidelity dividend records into a Google Sheets dividend tracker each month.
Who is it for?
An investor tracking monthly dividend income from Fidelity in a Google Sheet
When should I use this skill?
The user says sync dividends, update dividends, or dividend tracker
What you get
Dividends received are calculated, written, and processed into a historical income log
- populated dividend input rows
- historical dividend log entries
By the numbers
- input rows 2-43
- max 42 records per batch
Files
Dividend Tracking
Purpose
Import Fidelity dividend CSV data into the Dividends sheet input area, then trigger the Apps Script to process records into the historical log.
Workflow Routing
When executing this workflow, output this notification:
Running the **SyncDividends** workflow from the **dividend-tracking** skill...| Workflow | Trigger | Action |
|---|---|---|
| SyncDividends | "sync dividends", "update dividends", "dividend tracker" | CSV → Input Area → Click Button |
Dividends Sheet Architecture
The Dividends tab has TWO SECTIONS:
Left Side: INPUT AREA (Columns A-D, Rows 2-43)
This is where YOU write dividend records.
| Column | Field | Source |
|---|---|---|
| A | Ticket | CSV Symbol |
| B | Dividends Received | Calculated: Quantity × Amount per share |
| C | Date | CSV Pay date (MM/DD/YYYY format) |
| D | DRIP | TRUE/FALSE |
RULES:
- ✅ Write to rows 2-43 ONLY (row 1 is header)
- ✅ Maximum 42 records per batch
- ❌ NEVER write past row 43
- After writing, click "Add Dividend" button to process
Right Side: HISTORICAL LOG (Columns G-U, Rows 4+)
This is populated by the Apps Script - DO NOT WRITE HERE.
| Column | Field |
|---|---|
| G | Fund Name |
| H | Ticker |
| I-T | Monthly amounts (JAN-DEC) |
| U | Total |
The Apps Script reads from the input area (A-D) and appends to the historical log (G onwards).
Input Source: SnapTrade activities (preferred) — CSV is fallback
As of SnapTrade Phase 2 (#72), the preferred input is live normalized activities, not dividend.csv:
uv run python -m src.integrations.snaptrade.cli activities --output jsonFilter the returned records to type == "DIVIDEND". Each record carries date, symbol, amount, description, and account. Null-symbol dividends already have a ticker resolved — the CLI parses it from the description (e.g. ... ETF (SCHD)), mirroring the positions/options symbol fallback — so symbol is safe to write straight to Column A.
Dedupe is unchanged: Google Sheets stays the single source of truth. The historical log (cols A-F / SUMIFS in G-U) is the ledger; only write input rows that are not already represented, and only for pay dates that have passed. No local cache or state file is introduced.
Fallback: the dividend.csv path below still works and remains the fallback until the human reconciliation gate (#72) confirms parity. CSV ingestion is not removed in this phase (deletion is Phase 3 / #73).
Core Workflow
1. Read Dividend CSV
File Location: notebooks/updates/dividend.csv
Key CSV Columns:
| CSV Column | Use |
|---|---|
| Symbol | → Column A (Ticket) |
| Quantity | Used to calculate dividend received |
| Amount per share | Used to calculate dividend received |
| Pay date | → Column C (Date) - format as MM/DD/YYYY |
| Type | Margin/Cash (for aggregation) |
2. Calculate Dividends Received
Dividends Received = Quantity × Amount per shareAggregation Rules:
- Sum quantities for same ticker (Margin + Cash accounts)
- Use single row per ticker
- Skip rows with
--in Amount per share (non-dividend payers) - Only include pay dates that have PASSED (already received)
3. Check Input Area Status
Read current input area:
mcp__gdrive__sheets(
operation: "readSheet",
params: {
spreadsheetId: "{spreadsheet_id}",
range: "Dividends!A2:D43"
}
)Determine:
- First empty row (where to start writing)
- Available slots (max 45 - current entries)
- If full, STOP and alert user to click button first
4. Write to Input Area
Write starting at first empty row:
mcp__gdrive__sheets(
operation: "updateCells",
params: {
spreadsheetId: "{spreadsheet_id}",
range: "Dividends!A2:D13", // Adjust range based on record count
values: [
["JEPI", "$51.63", "01/05/2026", "TRUE"],
["JEPQ", "$78.62", "01/05/2026", "TRUE"],
// ... more records
]
}
)5. Trigger addDividendFast() via apps-script-run web app
After writing records, invoke the dispatcher (replaces the old "click Add Dividend button" UI step):
curl -sL "${APPS_SCRIPT_RUN_URL}?fn=addDividendFast"The function appends each input row to the historical raw data (cols A-F at the bottom of the sheet) and clears A2:D44. SUMIFS formulas in the historical log (cols G-U) auto-aggregate by ticker × month. Returns JSON {"ok": true, ...} on success. See the apps-script-run skill for the full dispatcher reference.
Fallback (if web app is unreachable): Replicate addDividendFast directly via the gdrive Sheets API: 1. Read input area A2:D44, skip blank rows 2. For each row, compute year = new Date(date).getFullYear() and month = getMonth() + 1 3. Append [ticker, amount, date, drip, year, month] to the next empty row in cols A-F (typically row getLastRow() + 1) 4. Clear A2:D44
6. Verify Processing
After clicking button:
- Input area (A2:D43) should be cleared
- Historical log should have new entries
- Monthly totals should update
Data Flow Diagram
┌─────────────────────────────────┐
│ dividend.csv (Fidelity export) │
│ - Symbol, Quantity │
│ - Amount per share, Pay date │
└──────────────┬──────────────────┘
│
▼
┌─────────────────────────────────┐
│ Calculate Dividends Received │
│ Qty × Amount = Total Dividend │
│ Aggregate by ticker │
│ Filter: only PAST pay dates │
└──────────────┬──────────────────┘
│
▼
┌─────────────────────────────────┐
│ INPUT AREA (A2:D43) │
│ Write calculated dividends │
│ Max 42 records per batch │
└──────────────┬──────────────────┘
│
▼
┌─────────────────────────────────┐
│ CLICK "Add Dividend" BUTTON │
│ (Browser automation or manual) │
└──────────────┬──────────────────┘
│
▼
┌─────────────────────────────────┐
│ HISTORICAL LOG (G4+) │
│ Apps Script processes input │
│ Appends to monthly columns │
└─────────────────────────────────┘Apps Script Integration
The Dividends sheet has Apps Script automation that:
- Reads records from input area (A2:D43)
- Parses ticker, amount, date, DRIP status
- Appends to historical log with proper date formatting
- Updates monthly income columns (I-T)
- Clears input area after processing
Script Location: scripts/google-sheets/portfolio-optimizer/Dividend.js
Custom Menu: "Portfolio Optimizer" → (dividend-related options)
Critical Rules
WRITABLE Area
- ✅ Columns A-D, Rows 2-43 (input area)
- ✅ Maximum 42 records per batch
- ✅ Must click "Add Dividend" button after writing
DO NOT MODIFY
- ❌ Row 1 (header)
- ❌ Rows 44+ in columns A-D
- ❌ Columns G-U (historical log - Apps Script managed)
- ❌ Any formulas
Date Format
- Use MM/DD/YYYY (e.g., "01/05/2026")
- Match existing entries in the sheet
DRIP Status
- TRUE = dividend was reinvested (shares increased)
- FALSE = dividend paid as cash
- Default TRUE for accumulation phase
Pre-Flight Checklist
Before syncing dividends:
- [ ]
dividend.csvexists innotebooks/updates/ - [ ] CSV is recent (check "Date downloaded" at bottom)
- [ ] Input area (A2:D43) has available slots
- [ ] If input area has data, click button first to clear it
- [ ] Browser automation available for button click
Example Scenario
User: "sync dividends"
Agent workflow: 1. ✅ Read CSV - found 40 rows 2. ✅ Filter - 12 tickers with dividend data for past pay dates 3. ✅ Aggregate - combined Margin/Cash positions 4. ✅ Calculate - total dividends: $786.86 5. ✅ Check input area - rows 2-43 empty, 42 slots available 6. ✅ Write records - added 12 rows to A2:D13 7. ✅ Open browser - navigate to Dividends sheet 8. ✅ Click button - trigger "Add Dividend" Apps Script 9. ✅ Verify - input area cleared, historical log updated 10. ✅ LOG: "Synced 12 dividend records totaling $786.86"
Google Sheets Integration
Spreadsheet ID: {spreadsheet_id} Dividends Sheet ID: 2068577140 Direct URL: https://docs.google.com/spreadsheets/d/{spreadsheet_id}/edit#gid=2068577140
Reference Files
- Dividend CSV:
notebooks/updates/dividend.csv - Apps Script:
scripts/google-sheets/portfolio-optimizer/Dividend.js - Spreadsheet: Finance Guru Portfolio Tracker (Dividends tab)
---
Skill Type: Domain (workflow guidance) Enforcement: SUGGEST (high priority advisory) Priority: High
Related skills
FAQ
What is the preferred data source?
Live normalized SnapTrade activities filtered to type DIVIDEND, with dividend.csv as a fallback.
How is the dividend amount computed?
Dividends Received = Quantity times Amount per share, aggregated per ticker.