portfolio-manager-go

Portfolio Manager

An application to value equities, fx, commodities, cash, bonds (corps / gov), and cryptocurrencies in your personal portfolio and use LLMs to generate trading insights.

Features

• Value assets of different currencies based on current market prices
• Fetch market data based on free data sources (Yahoo finance, Google finance, dividends.sg, ilovessb.com, mas), current and historical
• Import / Export portfolio blotter data using CSV file for easy migration to other portfolio systems
• Allow users to supply their own custom dividends metadata
• Export ticker reference data in yaml format
• Autoclosing expired positions
• Infer historical fx rates for blotter trades
• Store portfolio, reference, dividends and coupon data in leveldb for persistence
• Display detailed information for individual and aggregated assets
• Collect and display portfolio statistics such as IRR, MV, Price Paid
• Integration with Gemini to derive trading insights via Analytics module
• OpenAPI compliant for easy integration with other systems
• UI for end users
• MCP (Model Context Protocol) server for LLM integration

Installation

1. Install Go version 1.24.3 or higher.
2. Clone the repository to your local machine.
3. Run make to build and install the application
4. Run the portfolio-manager binary to start the application. Pass in config flag -config custom-config.yaml

Environment Variables

The application supports the following environment variables:

• GEMINI_API_KEY: API key for Google Gemini AI service (used for SGX report analysis). If set, this will override the geminiApiKey setting in the config file.

• ANALYTICS_SCHEDULE: Cron expression for scheduling the collection of SGX Reports, If set, this will override the analytics.schedule settings in the config file.

Proxmox VE Helper Scripts

For home-labbers, helpers scripts are exposed to allow easy installation of portfolio-manager in lxc containers within Proxmox VE.

bash -c "$(wget -qLO - https://github.com/rodionlim/portfolio-manager-go/raw/main/lxc/portfolio-manager.sh)"

Setting Environment Variables in Proxmox

For Proxmox deployments, you can set environment variables directly in the systemd unit file. After installation, edit the service file:

# Edit the systemd service file
sudo systemctl edit PortfolioManager --full

# Check environment variables file in the [Service] section:
[Service]
EnvironmentFile=/etc/sysconfig/PortfolioManager

# Create an env file with the following
GEMINI_API_KEY=your_api_key_here

# Reload and restart the service
sudo systemctl daemon-reload
sudo systemctl restart PortfolioManager

Quickstart

Start the application

make run # only start application backend
make run-full # if user wants to start with the UI, run this command instead

For Developers

make run # start backend
cd web/ui && npm run dev # start ui with hot reload on http://localhost:5173

Build the application

make

Wipe the entire database

make clean-db

Tests

make test # unit tests
make test-integration # integration tests

CLI Usage

The portfolio manager binary can also be used as a CLI tool to interact with a running server [local/remote] instance.

CLI Commands

List all positions

./portfolio-manager position-list

Delete a specific position

./portfolio-manager position-delete <book> <ticker>

Specify custom server URL

./portfolio-manager --url=http://localhost:8080 position-list
./portfolio-manager --url=http://localhost:8080 position-delete "Rodion" "AAPL"

CLI Examples

# List all positions using default server (localhost:8080)
./portfolio-manager position-list

# Delete a position from the "main" book
./portfolio-manager position-delete "main" "AAPL"

# Delete a position on a remote server
./portfolio-manager --url=http://production-server:8080 position-delete "Tactical" "TSLA"

Project Structure

portfolio-manager/
├── cmd/
│   └── portfolio/
│       └── main.go
├── docs/
│   └── swagger.json
├── internal/
│   ├── analytics/
│   ├── blotter/
│   ├── config/
│   ├── dal/
│   ├── dividends/
│   ├── fxinfer/
│   ├── historical/
│   ├── metrics/
│   ├── migrations/
│   ├── mocks/
│   ├── portfolio/
│   └── server/
│       ├── server.go    # Main HTTP server
│       └── mcp.go       # MCP server integration
├── lxc/
├── pkg/
│   ├── common/
│   ├── csvutil/
│   ├── event/
│   ├── logging/
│   ├── mdata/
│   │   └── sources/
│   ├── rdata/
│   ├── scheduler/
│   └── types/
├── templates/
│   └── blotter_import.csv # Sample for users to reference when trying to import blotter trades via csv
│   └── dividends_metadata_import.csv # Sample for users to reference when inserting custom dividends
├── web/
├── .gitignore
├── go.mod
└── README.md

For Developers

Testing and Mocking Strategy

This project uses the testify framework for testing and mocking. While there are two different mocking approaches in this codebase:

1. Testify-based mocks (preferred): Located in internal/mocks/testify/ directory
2. Custom mocks: Located in internal/mocks/ directory

When writing new tests or modifying existing ones, please use the testify mocks instead of the custom mock implementation.

Example:

// Import testify mocks (preferred)
import "portfolio-manager/internal/mocks/testify"

// Create a mock
mockService := new(testify.MockService)
mockService.On("MethodName", arg1, arg2).Return(expectedResult)

// Later verify expectations
mockService.AssertExpectations(t)

MCP Server Integration

This project includes a Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to interact directly with your portfolio data. This allows you to query your portfolio using natural language through compatible LLM interfaces.

Configuration

Enable the MCP server by setting the following in your config.yaml:

mcp:
  enabled: true
  port: 8081

Available Tools

The MCP server provides the following tools for LLM interaction:

1. Query Blotter Trades (query_blotter_trades)

Query your trading history with flexible filtering options:

• ticker: Filter by specific ticker symbol
• start_date: Filter trades from a specific date (YYYY-MM-DD format)
• end_date: Filter trades up to a specific date (YYYY-MM-DD format)
• trade_type: Filter by trade type (BUY or SELL)
• limit: Limit the number of results (default: 100)

2. Get Portfolio Positions (get_portfolio_positions)

Retrieve current portfolio positions with market values and P&L:

• book: Filter by specific book/account (optional, returns all books if not specified)

3. Delete Portfolio Position (delete_portfolio_position)

Destructive operation. The agent MUST obtain explicit user confirmation before calling with confirm="yes".

Example tool call payload (conceptual):

{
  "name": "delete_portfolio_position",
  "arguments": {
    "book": "main",
    "ticker": "AAPL",
    "confirm": "yes" // only after user confirms
  }
}

4. Fetch Benchmark Interest Rates (fetch_benchmark_interest_rates)

Fetch benchmark interest rates for a specific country:

• country: Country code (e.g., 'SG' for Singapore) [Required]
• points: Number of data points to fetch (default: 100)

Usage Examples

Once configured and running, you can interact with your portfolio data through any MCP-compatible LLM interface. Example queries:

• "Show me all my Apple trades from last month"
• "What are my current positions in the tech book?"
• "List all sell trades for the past quarter"
• "Show me my portfolio positions with current market values"
• "Fetch the latest benchmark interest rates for Singapore"
• "Delete portfolio position for main book and ticker SBAUG24

Potential Use Cases

The MCP server opens up numerous possibilities for LLM-powered portfolio analysis:

Real-time Portfolio Queries

• Ask natural language questions about your holdings
• Get instant summaries of positions, P&L, and performance
• Query specific trades or transactions with flexible criteria

Investment Research & Analysis

• Analyze trading patterns and performance trends
• Generate custom reports and summaries

Risk Management

• Monitor portfolio concentration and exposure
• Identify underperforming positions or sectors

The MCP server essentially transforms your portfolio manager into an AI-queryable database, making your investment data accessible through natural language interfaces and enabling sophisticated AI-powered analysis workflows.

Built-in Scheduler (Cron-based)

This project includes a flexible, cron-based scheduler component that can be used by any package to trigger jobs at specific times or intervals. The scheduler supports standard 5-field cron expressions, enabling developers to easily schedule tasks such as data collection, reporting, or maintenance jobs.

Key Features

• Schedule any Go function or job using a cron expression (minute, hour, day of month, month, day of week)
• Reusable across the codebase for any periodic or time-based automation
• Powered by the robust robfig/cron library

Example Use Case: Metrics Collection

Portfolio metrics collection is scheduled using the built-in scheduler. For example, to collect metrics every day at midnight:

service.StartMetricsCollection("0 0 * * *") // Every day at midnight

Or, to collect every 5 minutes:

service.StartMetricsCollection("*/5 * * * *")

You can use the scheduler in your own packages to trigger any job on a schedule:

sched, _ := scheduler.NewCronSchedule("0 9 * * MON") // Every Monday at 9:00 AM
scheduler.ScheduleTaskFunc(myJobFunc, sched)

Cron Expression Format

A cron expression consists of five fields:

* * * * *
| | | | |
| | | | +----- day of week (0 - 6) (Sunday=0)
| | | +------- month (1 - 12)
| | +--------- day of month (1 - 31)
| +----------- hour (0 - 23)
+------------- minute (0 - 59)

Examples

Cron Expression	Schedule Description
* * * * *	Every minute
0 * * * *	Every hour
0 0 * * *	Every day at 12:00 AM
0 0 * * FRI	At 12:00 AM, only on Friday
0 0 1 * *	At 12:00 AM, on day 1 of the month

For more details, see crontab.guru or the robfig/cron Go library documentation.

UI

Positions

Users can get an aggregated view of all their positions via the positions component in the user interface.

Blotter Table

User can add, delete and update trades via the blotter component in the user interface.

Dividends Table

User can view dividends history of any given ticker at a granular level by ex-date

Dividends Summary

User can view aggregated dividends by year with more details such as dividend yield etc.

Metrics Chart

Users can visualize portfolio performance over time with both market value and IRR (Internal Rate of Return) plotted together.

Analytics Heat Map

Users can visualize the most commonly traded stocks using a heat map showing institutional net buy/sell values with customizable sorting methods and stock selection.

(DEPRECATED)

Sorting Methods

The heat map supports three different sorting methods:

1. Absolute: Sorts stocks by their absolute YTD institutional net buy/sell amounts (highest absolute values first)

2. Percentage: Sorts stocks by percentage change from the earliest to latest report period

3. Momentum: Sorts stocks by a momentum score that combines both absolute change and consistency

Momentum Calculation

The momentum score is calculated using the following formula:

Momentum Score = (Absolute Change × 0.7) + (Consistency Score × |Absolute Change| × 0.3)

Where:

• Absolute Change: Latest YTD value - Earliest YTD value
• Consistency Score: Ratio of periods showing positive trend (0 to 1)
  • Calculated as: Number of periods with positive change ÷ Total periods
  • A stock with consistent upward movement across all periods gets a score of 1.0
  • A stock with no positive periods gets a score of 0.0

Example: If a stock has:

• Absolute change of +50M SGD
• Positive movement in 8 out of 10 periods (consistency = 0.8)

Then: Momentum Score = (50 × 0.7) + (0.8 × 50 × 0.3) = 35 + 12 = 47

This approach prioritizes stocks with both significant absolute changes and consistent directional movement, helping identify stocks with strong institutional buying/selling momentum rather than just one-time large movements.

Settings

User can edit application wide settings, such as auto closing expired positions via the user interface

Backend API - Sample Curl Commands

All API calls are documented (OAS) under http://localhost:8080/swagger/index.html

Get Blotter Trades

curl http://localhost:8080/api/v1/blotter/trades

Add Asset to Blotter

curl -X POST http://localhost:8080/api/v1/blotter/trade \
    -H "Content-Type: application/json" \
    -d '{
        "ticker": "AAPL",
        "side": "buy",
        "broker": "DBS",
        "book": "BookA",
        "account": "CDP",
        "quantity": 10,
        "price": 150.00,
        "fx": 1.33,
        "type": "buy",
        "tradeDate": "2024-12-09T00:00:00Z"
    }'

Update Asset in Blotter

curl -X PUT http://localhost:8080/api/v1/blotter/trade \
    -H "Content-Type: application/json" \
    -d '{
        "ticker": "AAPL",
        "side": "buy",
        "broker": "DBS",
        "book": "BookA",
        "account": "CDP",
        "quantity": 10,
        "price": 200.00,
        "fx": 1,
        "type": "buy",
        "tradeDate": "2024-12-09T00:00:00Z"
    }'

Delete Assets from Blotter

curl -X DELETE http://localhost:8080/api/v1/blotter/trade \
    -H "Content-Type: application/json" \
    -d '["61570b49-2adb-4b99-be20-d14001e761a9"]'

Delete all Assets from Blotter and Positions

curl -X DELETE http://localhost:8080/api/v1/blotter/trade/all
curl -X DELETE http://localhost:8080/api/v1/portfolio/positions

Import Trades from CSV (for migrating into portfolio-manager)

Note that FX rate here is always with respect to portfolio revaluation currency per foreign ccy, e.g. SGD/USD if SGD is portfolio revaluation currency

curl -X POST http://localhost:8080/api/v1/blotter/import \
  -F "file=@templates/blotter_import.csv"

Export Trades to a CSV (for migrating out of portfolio-manager)

curl -X GET http://localhost:8080/api/v1/blotter/export

Export Trades with Inferred FX Rates

Export trades with FX rates automatically inferred for trades where FX rate is missing. This amends the blotter in memory as well. Users should wipe all blotter trades and reimport the amended blotter if they want it to be persisted across restarts.

curl -X GET http://localhost:8080/api/v1/blotter/export-with-fx

Get Portfolio Positions

curl http://localhost:8080/api/v1/portfolio/positions

Delete Single Position

Delete a specific position by book and ticker:

curl -X DELETE "http://localhost:8080/api/v1/portfolio/position?book=Rodion&ticker=SBAUG24"

Get Current FX Rates for relevant currencies in our blotter

Get current FX rates for all currencies in the blotter. Returns a JSON mapping of currencies to their current exchange rates relative to the base currency.

curl -X GET http://localhost:8080/api/v1/blotter/fx

View Blotter Trades

curl -X GET http://localhost:8080/api/v1/blotter/trade

View Positions

curl -X GET http://localhost:8080/api/v1/portfolio/positions

Portfolio Metrics

Get portfolio metrics (IRR, Market Value, Price Paid) for the entire portfolio:

curl -X GET http://localhost:8080/api/v1/metrics

Get portfolio metrics filtered by a specific book:

curl -X GET "http://localhost:8080/api/v1/metrics?book_filter=tactical"

Fetch Asset Prices

curl -X GET http://localhost:8080/api/v1/mdata/price/es3.si
curl -X GET http://localhost:8080/api/v1/mdata/price/temb
curl -X GET http://localhost:8080/api/v1/mdata/price/eth-usd
curl -X GET http://localhost:8080/api/v1/mdata/price/usd-sgd

Fetch Historical Price Data

# Get historical price data from January 1, 2024 to current date
curl -X GET "http://localhost:8080/api/v1/mdata/price/historical/AAPL?start=20240101"

# Get historical price data for a specific date range
curl -X GET "http://localhost:8080/api/v1/mdata/price/historical/ES3.SI?start=20240101&end=20240501"

Fetch Historical FX Rates

Get historical foreign exchange rates for currency pairs. This is particularly useful for retrieving FX rates for specific trade dates when adding blotter entries with foreign currency assets.

# Get USD-SGD FX rate for a specific date (YYYYMMDD format)
curl -X GET "http://localhost:8080/api/v1/mdata/price/historical/USD-SGD?start=20250602&end=20250602"

# Get JPY-SGD FX rate for the last month
curl -X GET "http://localhost:8080/api/v1/mdata/price/historical/JPY-SGD?start=20240401&end=20240430"

Fetch Dividends

# equity - refer to ticker reference for identifier
curl -X GET http://localhost:8080/api/v1/mdata/dividends/es3.si
curl -X GET http://localhost:8080/api/v1/mdata/dividends/aapl

# ssb - format SBMMMYY
curl -X GET http://localhost:8080/api/v1/mdata/dividends/sbjul24

# mas bill
curl -X GET http://localhost:8080/api/v1/mdata/dividends/bs24124z

Store Custom Dividends

curl -X POST http://localhost:8080/api/v1/mdata/dividends/AAPL \
  -H "Content-Type: application/json" \
  -d '[
    {
      "ExDate": "2024-11-10",
      "Amount": 120.00,
      "AmountPerShare": 0.24,
      "Qty": 500
    },
    {
      "ExDate": "2024-08-09",
      "Amount": 115.00,
      "AmountPerShare": 0.23,
      "Qty": 500
    }
  ]'

Fetch Portfolio Dividends

Single Ticker

curl -X GET http://localhost:8080/api/v1/dividends/cjlu.si

All Tickers

curl -X GET http://localhost:8080/api/v1/dividends

Fetch Benchmark Interest Rates

Get default number of Singapore interest rates (250 records)

curl -X GET "http://localhost:8080/api/v1/mdata/interest-rates/SG"

Get specific number of records

curl -X GET "http://localhost:8080/api/v1/mdata/interest-rates/SG?points=5"

Fetch Reference Data

curl -X GET http://localhost:8080/api/v1/refdata

Import Reference Data (YAML)

You can import reference data from a YAML file using the following endpoint:

curl -X POST \
  -F "file=@seed/refdata.yaml" \
  http://localhost:8080/api/v1/refdata/import

• Replace seed/refdata.yaml with the path to your YAML file if different.
• The response will indicate how many tickers were inserted or updated.

Historical Portfolio Metrics

Get all historical metrics:

curl -X GET http://localhost:8080/api/v1/historical/metrics

Export historical metrics as CSV: (takes in book_filter as an optional query parameter)

curl -X GET http://localhost:8080/api/v1/historical/metrics/export

Import historical metrics from CSV file:

curl -X POST http://localhost:8080/api/v1/historical/metrics/import \
  -F "file=@/path/to/historical_metrics_import.csv"

Insert or update a historical metric:

curl -X POST http://localhost:8080/api/v1/historical/metrics \
  -H "Content-Type: application/json" \
  -d '{
    "timestamp": "2024-05-15T00:00:00Z",
    "metrics": {
      "irr": 0.12,
      "pricePaid": 50000,
      "mv": 55000,
      "totalDividends": 1200
    }
  }'

Insert or update a historical metric for a specific book:

curl -X POST "http://localhost:8080/api/v1/historical/metrics?book_filter=tactical" \
  -H "Content-Type: application/json" \
  -d '{
    "timestamp": "2024-05-15T00:00:00Z",
    "metrics": {
      "irr": 0.12,
      "pricePaid": 50000,
      "mv": 55000,
      "totalDividends": 1200
    }
  }'

Delete historical metrics:

curl -X POST http://localhost:8080/api/v1/historical/metrics/delete \
  -H "Content-Type: application/json" \
  -d '{
    "timestamps": [
      "2024-05-15T00:00:00Z",
      "2024-06-15T00:00:00Z"
    ]
  }'

Delete historical metrics for a specific book:

curl -X POST "http://localhost:8080/api/v1/historical/metrics/delete?book_filter=tactical" \
  -H "Content-Type: application/json" \
  -d '{
    "timestamps": [
      "2024-05-15T00:00:00Z",
      "2024-06-15T00:00:00Z"
    ]
  }'

Historical Metrics Jobs (Custom Scheduling)

Create a custom metrics collection job for a specific book, using the default schedule (Same as entire portfolio):

curl -X POST http://localhost:8080/api/v1/historical/metrics/jobs \
  -H "Content-Type: application/json" \
  -d '{
    "cronExpr": "",
    "bookFilter": "tactical"
  }'

List all custom metrics jobs:

curl -X GET http://localhost:8080/api/v1/historical/metrics/jobs

List all metrics jobs (including portfolio job for UI):

curl -X GET http://localhost:8080/api/v1/historical/metrics/jobs/all

Delete a custom metrics job:

curl -X DELETE http://localhost:8080/api/v1/historical/metrics/jobs/tactical

Manually trigger metrics collection for entire portfolio:

curl -X POST http://localhost:8080/api/v1/historical/metrics/trigger \
  -H "Content-Type: application/json" \
  -d '{
    "bookFilter": ""
  }'

Manually trigger metrics collection for a specific book:

curl -X POST http://localhost:8080/api/v1/historical/metrics/trigger \
  -H "Content-Type: application/json" \
  -d '{
    "bookFilter": "tactical"
  }'

Add Reference Data

curl -X POST http://localhost:8080/api/v1/refdata \
  -H "Content-Type: application/json" \
  -d '{
        "id": "ES3.SI",
        "name": "STI ETF",
        "underlying_ticker": "ES3.SI",
        "yahoo_ticker": "ES3.SI",
        "dividends_sg_ticker": "ES3",
        "asset_class": "eq",
        "asset_sub_class": "etf",
        "ccy": "SGD",
        "domicile": "SG"
      }'

Delete Reference Data

curl -X DELETE http://localhost:8080/api/v1/refdata \
    -H "Content-Type: application/json" \
    -d '["ES3.SI"]'

Export Reference Data

curl -X GET http://localhost:8080/api/v1/refdata/export

Force a compute of dividends for a ticker across the entire blotter

curl -X POST http://localhost:8080/api/v1/dividends -H "Content-Type: application/json" -d '{"ticker": "ES3.SI"}'

Autoclose expired positions

Tbills, SSB that has expired should have a corresponding "sell" blotter entry that can be infered automatically based on the reference data

curl -X POST http://localhost:8080/api/v1/portfolio/cleanup

Get Portfolio Metrics, e.g. IRR (Internal Rate of Return), Price Paid, MV, Total Dividends

Get portfolio metrics such as Internal Rate of Return (IRR) for the entire portfolio. Returns the calculated IRR and other metrics as a JSON object.

curl -X GET http://localhost:8080/api/v1/metrics

Fetch Historical Portfolio Metrics

Fetch all historical portfolio metrics (date-stamped portfolio metrics).

curl -X GET http://localhost:8080/api/v1/historical/metrics

Fetch historical portfolio metrics filtered by book:

curl -X GET "http://localhost:8080/api/v1/historical/metrics?book_filter=tactical"

Import Historical Portfolio Metrics from CSV

Import historical portfolio metrics (date-stamped portfolio metrics) from a CSV file. The CSV should have the following headers:

Date,IRR,PricePaid,MV,TotalDividends

Sample file: templates/historical_metrics_import.csv

curl -X POST http://localhost:8080/api/v1/historical/metrics/import \
  -F "file=@templates/historical_metrics_import.csv"

Export Historical Portfolio Metrics to CSV

Export all historical portfolio metrics as a CSV file.

curl -X GET http://localhost:8080/api/v1/historical/metrics/export -o historical_metrics_export.csv

Upsert (Insert/Update) a Single Historical Portfolio Metric

Insert or update a single historical portfolio metric (date-stamped portfolio metric) using POST or PUT. Update is keyed on timestamp date. The JSON should match the TimestampedMetrics structure:

{
  "timestamp": "2025-05-11T00:00:00Z",
  "metrics": {
    "irr": 0.2,
    "pricePaid": 10000,
    "mv": 12000,
    "totalDividends": 500
  }
}

Sample curl (insert or update):

curl -X POST http://localhost:8080/api/v1/historical/metrics \
  -H "Content-Type: application/json" \
  -d '{
    "timestamp": "2025-05-11T00:00:00Z",
    "metrics": {"irr": 0.2, "pricePaid": 10000, "mv": 12000, "totalDividends": 500}
  }'

curl -X PUT http://localhost:8080/api/v1/historical/metrics \
  -H "Content-Type: application/json" \
  -d '{
    "timestamp": "2025-05-11T00:00:00Z",
    "metrics": {"irr": 0.2, "pricePaid": 10000, "mv": 12000, "totalDividends": 500}
  }'

Sample curl (insert or update for a specific book):

curl -X POST "http://localhost:8080/api/v1/historical/metrics?book_filter=tactical" \
  -H "Content-Type: application/json" \
  -d '{
    "timestamp": "2025-05-11T00:00:00Z",
    "metrics": {"irr": 0.2, "pricePaid": 10000, "mv": 12000, "totalDividends": 500}
  }'

curl -X PUT "http://localhost:8080/api/v1/historical/metrics?book_filter=tactical" \
  -H "Content-Type: application/json" \
  -d '{
    "timestamp": "2025-05-11T00:00:00Z",
    "metrics": {"irr": 0.2, "pricePaid": 10000, "mv": 12000, "totalDividends": 500}
  }'

See also: Import/Export endpoints for batch operations.

Analytics - SGX Report Analysis

Fetch, download and analyze the latest SGX report of a specific type with AI Insight:

curl -X GET "http://localhost:8080/api/v1/analytics/latest?type=fund%20flow"

List all downloaded SGX reports

curl -X GET http://localhost:8080/api/v1/analytics/list_files

Analyze an existing file in the data directory:

curl -X POST http://localhost:8080/api/v1/analytics/analyze \
  -H "Content-Type: application/json" \
  -d '{
    "filePath": "./data/SGX_Fund_Flow_Weekly_Tracker_Week_of_26_May_2025.xlsx"
  }'

List all stored analysis results:

curl -X GET http://localhost:8080/api/v1/analytics/list_analysis

Download the latest N SGX reports:

curl -X GET "http://localhost:8080/api/v1/analytics/download?n=5"

Download the latest N SGX reports filtered by type:

curl -X GET "http://localhost:8080/api/v1/analytics/download?n=3&type=fund%20flow"

Analyze the latest N SGX reports filtered by type:

curl -X GET "http://localhost:8080/api/v1/analytics/analyze_latest?n=3&type=fund%20flow"

Analyze the latest N SGX reports with force reanalysis (This will use additional API limits unnecessarily):

curl -X GET "http://localhost:8080/api/v1/analytics/analyze_latest?n=3&type=fund%20flow&force=true"

Extract 100 Most Traded Stocks data from latest SGX Fund Flow Weekly Tracker reports:

# Get all available reports
curl -X GET http://localhost:8080/api/v1/analytics/most_traded_stocks # DEPRECATED
curl -X GET http://localhost:8080/api/v1/analytics/top10_stocks

# Get only the latest 2 reports
curl -X GET "http://localhost:8080/api/v1/analytics/most_traded_stocks?n=2"
curl -X GET http://localhost:8080/api/v1/analytics/top10_stocks?n=2

Extract Institutional sector funds flow data from latest SGX Fund Flow Weekly Tracker reports:

# Get all available sector funds flow reports
curl -X GET http://localhost:8080/api/v1/analytics/sector_funds_flow

# Get only the latest 3 reports
curl -X GET "http://localhost:8080/api/v1/analytics/sector_funds_flow?n=3"

Get User Profile

curl http://localhost:8080/api/v1/user/profile

Update User Profile

curl -X PUT http://localhost:8080/api/v1/user/profile \
    -H "Content-Type: application/json" \
    -d '{
        "username": "John Doe",
        "email": "john@example.com",
        "avatar": "https://example.com/avatar.png"
    }'

Health Check

curl http://localhost:8080/healthz

Configurations

Sample configurations

verboseLogging: true
logFilePath: ./portfolio-manager.log
host: localhost
port: 8080
baseCcy: SGD
db: leveldb
dbPath: ./portfolio-manager.db
refDataSeedPath: "./seed/refdata.yaml"
mcp:
  enabled: false # Enable/disable MCP server
  port: 8081 # MCP server port
dividends:
  divWitholdingTaxSG: 0
  divWitholdingTaxUS: 0.3
  divWitholdingTaxHK: 0
  divWitholdingTaxIE: 0.15
metrics:
  schedule: "10 17 * * 1-5" # daily at 5:10pm, Mon-Fri (excludes weekends)
marketData:
  rateLimitMs: 750 # Minimum milliseconds between Yahoo Finance requests (increased from default 500ms to avoid rate limiting)
analytics:
  geminiApiKey: "" # Get from Google AI Studio - required for analytics features
  geminiModel: "gemini-2.0-flash-lite" # Gemini model to use (docs: https://ai.google.dev/gemini-api/docs/models)
  dataDir: "./data" # Directory to store downloaded SGX reports
  schedule: "0 17 * * 1" # Weekly on Mondays at 5:00 PM

Roadmap

See https://github.com/rodionlim/portfolio-manager-go/milestones

Contributing

Contributions are always welcome! If you have any suggestions or find a bug, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the license file for details.