# Global Liquidity Index β€” Central Bank Balance Sheets (`innocent_goodness/global-liquidity-index`) Actor Aggregate balance sheet data from 7 major central banks (Fed, ECB, BOJ, PBOC, BOE, SNB, RBA) into a single Global Liquidity Index in USD. Free public data sources, no API keys required. - **URL**: https://apify.com/innocent\_goodness/global-liquidity-index.md - **Developed by:** [luc guerin](https://apify.com/innocent_goodness) (community) - **Categories:** Other, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Global Liquidity Index β€” Central Bank Balance Sheets Aggregates balance sheet data from **7 major central banks** into a single **Global Liquidity Index (GLI)** denominated in USD. All data sources are free and public β€” no paid API keys required. ### What does it do? This Actor fetches the latest balance sheet totals from: - πŸ‡ΊπŸ‡Έ **US Federal Reserve** β€” via [FRED API](https://fred.stlouisfed.org/) (balance sheet, M2, TGA, RRP, Fed Funds, 10Y yield) - πŸ‡ͺπŸ‡Ί **European Central Bank** β€” via [ECB SDW](https://data.ecb.europa.eu/) (total assets, M3) - πŸ‡―πŸ‡΅ **Bank of Japan** β€” via [BIS](https://data.bis.org/topics/CBTA) (total assets in JPY + USD) - πŸ‡¨πŸ‡³ **People's Bank of China** β€” via [BIS](https://data.bis.org/topics/CBTA) (total assets in CNY + USD) - πŸ‡¬πŸ‡§ **Bank of England** β€” via [BIS](https://data.bis.org/topics/CBTA) (total assets in GBP + USD) - πŸ‡¨πŸ‡­ **Swiss National Bank** β€” via [SNB Data Portal](https://data.snb.ch/) (total assets in CHF) - πŸ‡¦πŸ‡Ί **Reserve Bank of Australia** β€” via [RBA Statistics](https://www.rba.gov.au/statistics/) (total assets in AUD) It also: - Converts all values to USD using live ECB exchange rates - Computes **US Net Liquidity** (Fed BS - TGA - RRP) when FRED key is provided - Aggregates into a single **Global Liquidity Index** in USD - Returns both local currency and USD values ### Coverage These 7 central banks represent approximately **$27-30 trillion** in combined assets β€” the vast majority of global central bank balance sheet liquidity. | Bank | Typical Size | Data Frequency | Lag | |------|-------------|----------------|-----| | Fed | ~$6.7T | Weekly | 1 day | | ECB | ~$7.1T | Weekly | 1 day | | BOJ | ~$4.4T | Monthly | 1-2 months | | PBOC | ~$6.9T | Monthly | 1-2 months | | BOE | ~$1.1T | Monthly | 1-2 months | | SNB | ~$1.1T | Monthly | 1-2 months | | RBA | ~$0.3T | Weekly | 1 day | ### Why use this? - **All 7 banks working** β€” no stubs, no broken endpoints - **Zero API cost** β€” all data sources are free and public - **One call** instead of querying 7 different APIs with different formats - **Pre-computed** Net Liquidity and composite index - **Both currencies** β€” local currency + USD for every bank - **JSON output** ready for dashboards, trading bots, or research ### Use cases - Macro trading signals (crypto, equities, commodities) - Liquidity-driven investment research - Central bank policy monitoring - Economic dashboards and reports - Quantitative finance data pipelines ### Output The Actor outputs a JSON dataset with: - Individual central bank balance sheets (local currency + USD) - Component details (M2, TGA, RRP, rates) when enabled - FX rates used for conversion (ECB source) - Composite GLI in USD millions and trillions - US Net Liquidity calculation (with FRED key) ### Input options | Option | Description | Default | |--------|-------------|---------| | **FRED API Key** | Free key from fred.stlouisfed.org for rich US Fed data (M2, TGA, RRP, rates) | Optional | | **Sources** | Which central banks to include | All 7 | | **Include Components** | Detailed breakdowns per bank | true | | **Include History** | Last 30 data points per series | false | | **Output Format** | summary, detailed, or timeseries | summary | ### Data sources | Bank | API | Auth | Format | |------|-----|------|--------| | Fed | FRED | Free API key | JSON | | ECB | ECB Statistical Data Warehouse | None | CSV | | BOJ | BIS WS_CBTA | None | CSV | | PBOC | BIS WS_CBTA | None | CSV | | BOE | BIS WS_CBTA | None | CSV | | SNB | SNB Data Portal | None | CSV | | RBA | RBA Statistical Tables | None | CSV | ### Cost Pricing: **$0.01 per run** (pay-per-event). Each run = 1 fetch = complete GLI snapshot from all selected banks. # Actor input Schema ## `fred_api_key` (type: `string`): Free API key from https://fred.stlouisfed.org/docs/api/api_key.html β€” enables US Fed data (balance sheet, M2, TGA, RRP, rates, net liquidity). Without it, Fed data is skipped but other 6 banks still work. ## `sources` (type: `array`): Which central banks to fetch. Default: all available. ## `include_components` (type: `boolean`): If true, outputs individual metrics (M2, TGA, RRP, etc.) in addition to balance sheet totals. ## `include_history` (type: `boolean`): If true, fetches last 30 data points for each series. If false, only latest value. ## `output_format` (type: `string`): Structure of the output dataset. ## Actor input object example ```json { "sources": [ "fed", "ecb", "boj", "pboc", "boe", "snb", "rba" ], "include_components": true, "include_history": false, "output_format": "summary" } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("innocent_goodness/global-liquidity-index").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("innocent_goodness/global-liquidity-index").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call innocent_goodness/global-liquidity-index --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=innocent_goodness/global-liquidity-index", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Global Liquidity Index β€” Central Bank Balance Sheets", "description": "Aggregate balance sheet data from 7 major central banks (Fed, ECB, BOJ, PBOC, BOE, SNB, RBA) into a single Global Liquidity Index in USD. Free public data sources, no API keys required.", "version": "2.0", "x-build-id": "rLnASlxDB7JX5UjNP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/innocent_goodness~global-liquidity-index/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-innocent_goodness-global-liquidity-index", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/innocent_goodness~global-liquidity-index/runs": { "post": { "operationId": "runs-sync-innocent_goodness-global-liquidity-index", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/innocent_goodness~global-liquidity-index/run-sync": { "post": { "operationId": "run-sync-innocent_goodness-global-liquidity-index", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "fred_api_key": { "title": "FRED API Key (optional)", "type": "string", "description": "Free API key from https://fred.stlouisfed.org/docs/api/api_key.html β€” enables US Fed data (balance sheet, M2, TGA, RRP, rates, net liquidity). Without it, Fed data is skipped but other 6 banks still work." }, "sources": { "title": "Data Sources", "type": "array", "description": "Which central banks to fetch. Default: all available.", "items": { "type": "string", "enum": [ "fed", "ecb", "boj", "pboc", "boe", "snb", "rba" ] }, "default": [ "fed", "ecb", "boj", "pboc", "boe", "snb", "rba" ] }, "include_components": { "title": "Include Component Detail", "type": "boolean", "description": "If true, outputs individual metrics (M2, TGA, RRP, etc.) in addition to balance sheet totals.", "default": true }, "include_history": { "title": "Include Historical Data", "type": "boolean", "description": "If true, fetches last 30 data points for each series. If false, only latest value.", "default": false }, "output_format": { "title": "Output Format", "enum": [ "summary", "detailed", "timeseries" ], "type": "string", "description": "Structure of the output dataset.", "default": "summary" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```