# Position Ratio Explorer (`grasstech/data-9a6353af`) Actor

Retrieve historical long-short ratio observations for a trading pair and exchange. Export ratios and timestamps as structured JSON.

- **URL**: https://apify.com/grasstech/data-9a6353af.md
- **Developed by:** [Grass Tech](https://apify.com/grasstech) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.05 / position ratio explorer

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Position Ratio Explorer

Retrieve historical long-short ratio observations for a trading pair and exchange. Export ratios and timestamps as structured JSON.

### What this Actor does

Compare changes in a reported long-short ratio over a bounded historical period. No trading recommendation or automatic trade is produced.

### Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `exchange` | string | Yes | Exchange selector. Verified example: `Binance`. |
| `symbol` | string | Yes | Trading-pair symbol. Verified example: `BTCUSDT`. |
| `interval` | string | Yes | Observation interval as a string. Use the verified spelling in the example input. |
| `endTime` | string | Yes | End timestamp in Unix milliseconds, supplied as a string. The example is historical, not the current time. |
| `size` | string | Yes | Requested observation count as a string. Verified example: `10`; availability may reduce the returned count. |

#### Example input

```json
{
  "endTime": "1789544653328",
  "exchange": "Binance",
  "interval": "1h",
  "size": "10",
  "symbol": "BTCUSDT"
}
```

This input was used for the saved successful run on September 16, 2026. Historical timestamps are examples; update them for your desired period. Supported markets and data coverage depend on the selected parameters. Unsupported combinations can return empty data or errors.

### Output

The response contains code, success and a data object with longShortRatio and tss arrays. Pair each ratio with the Unix-millisecond timestamp at the same index. A ratio is not a percentage; the payload does not provide separate long/short balances.

#### Example output

Abbreviated from the September 16, 2026 response. This is historical data, not a current quote. Rows, series and fields have been omitted for readability.

```json
{
  "code": "1",
  "data": {
    "longShortRatio": [
      1.8193,
      1.8177,
      1.8321
    ],
    "tss": [
      1789513200000,
      1789516800000,
      1789520400000
    ]
  },
  "success": true
}
```

A successful run saves its JSON result under `OUTPUT`. Open the Output tab to inspect response status, fields and available timestamps.

### Pricing

One request event is $0.05. Review the current Pricing panel and set a maximum run charge that covers the event. Check any platform usage displayed before starting.

### How to run

1. Review the required fields and update the example input.
2. Check the current price and run budget.
3. Start one run and wait for its final status.
4. Open Output and inspect the response before using it in a report or workflow.

### Scope and troubleshooting

Each run performs one data query. Data availability and freshness vary by market and query parameters. This Actor does not execute trades, move funds or maintain a live subscription.

If a run fails, inspect its status and log before retrying. For support, open an Actor Issue with the Run ID and sanitized input; omit credentials and private keys. Financial data is informational, not investment advice.

# Actor input Schema

## `exchange` (type: `string`):

Request parameter exchange.

## `symbol` (type: `string`):

Request parameter symbol.

## `interval` (type: `string`):

Request parameter interval.

## `endTime` (type: `string`):

Request parameter endTime.

## `size` (type: `string`):

Request parameter size.

## Actor input object example

```json
{
  "exchange": "Binance",
  "symbol": "BTCUSDT",
  "interval": "1h",
  "endTime": "1789544653328",
  "size": "10"
}
```

# Actor output Schema

## `result` (type: `string`):

The complete response for this data query.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "exchange": "Binance",
    "symbol": "BTCUSDT",
    "interval": "1h",
    "endTime": "1789544653328",
    "size": "10"
};

// Run the Actor and wait for it to finish
const run = await client.actor("grasstech/data-9a6353af").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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);
});

// 📚 Want to learn more 📖? Go to → 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "exchange": "Binance",
    "symbol": "BTCUSDT",
    "interval": "1h",
    "endTime": "1789544653328",
    "size": "10",
}

# Run the Actor and wait for it to finish
run = client.actor("grasstech/data-9a6353af").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "exchange": "Binance",
  "symbol": "BTCUSDT",
  "interval": "1h",
  "endTime": "1789544653328",
  "size": "10"
}' |
apify call grasstech/data-9a6353af --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,grasstech/data-9a6353af"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/7dCkCLkOoFzeiGan2/builds/hZTNsXLdApm8pRKW2/openapi.json