The Advanced Insights API Forecasting Service provides powerful predictive analytics capabilities, enabling users to make informed decisions based on comprehensive data analysis and forecasting models. By leveraging advanced algorithms and machine learning (ML) techniques, this API transforms raw data into actionable insights, allowing organizations to anticipate future trends, optimize resources, and enhance strategic planning. Users can easily integrate the service into their existing systems, accessing detailed forecasts with the use of a dynamic, complex systems mathematics-based algorithm (along with ML). With customizable options, real-time updates, and robust reporting features, the Advanced Insights API is designed to empower businesses with the necessary tools to stay ahead in a fast-paced, data-driven environment. Whether you are in finance, retail, or any other industry, this service equips you with the foresight needed to navigate challenges and seize opportunities effectively.
EXAMPLE USE OF "/fetchdata" endpoint for Google's Ticker "goog":
CALL: /fetchdata?ticker=goog
RESPONSE:
{ "First Data Date": "Fri, 24 May 2024 00:00:00 GMT", "Last Data Date": "Fri, 23 May 2025 00:00:00 GMT", "Ticker": "goog", "value": 2.78499114628228 }
fetchdata - Endpoint Features
Object | Description |
---|---|
ticker |
[Required] Ticker |
period |
Optional |
interval |
Optional |
{
"First Data Date": "Fri, 24 May 2024 00:00:00 GMT",
"Last Data Date": "Fri, 23 May 2025 00:00:00 GMT",
"Ticker": "axp",
"value": 3.17666672407535
}
curl --location --request GET 'https://zylalabs.com/api/6821/advanced+insights+api+forecasting+service/10306/fetchdata?ticker=goog' --header 'Authorization: Bearer YOUR_API_KEY'
List all tickers fetched so far.
listallfetched - Endpoint Features
Object | Description |
---|
{"Info:":"Served Tickers List (at this moment, for this API)","List":["CAT","GOOG","JPM"]}
curl --location --request GET 'https://zylalabs.com/api/6821/advanced+insights+api+forecasting+service/10307/listallfetched' --header 'Authorization: Bearer YOUR_API_KEY'
Info for this API ()
info - Endpoint Features
Object | Description |
---|
{
"API Info": "This API requests per ticker provides a float type of result with a value for the Ticker provided. The AI algorithm consists of ML (Machine Learning) techniques and complex and Dynamic Systems Mathematics and presents predictions of bull markets for higher values and predictions of bear markets for lower values. As this is purely a data science and data analysis service, the user will accept all responsibility in potential trading, and no liability whatsoever should be implied to the service providers. We do not recommend any market positions, either to sell or buy, without the guidance of third-party Finance professionals and practitioners. We do data analysis, and these algorithms can and certainly will work in other predictive analysis situations, in the Data Science and Data Analysis fields, with most kinds of temporal and time-evolving data. Please contact us for more information if you are interested in other applications."
}
curl --location --request GET 'https://zylalabs.com/api/6821/advanced+insights+api+forecasting+service/10308/info' --header 'Authorization: Bearer YOUR_API_KEY'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The `/fetchdata` endpoint returns a float value representing the forecasted price for a specified ticker, along with the first and last data dates. The `/listallfetched` endpoint provides a list of tickers that have been fetched so far. The `/info` endpoint offers details about the API's functionality and data analysis capabilities.
The key fields in the `/fetchdata` response include "First Data Date," "Last Data Date," "Ticker," and "value." The `/listallfetched` response includes "Info" and "List," while the `/info` response contains "API Info" detailing the service's purpose and responsibilities.
The response data is structured in JSON format. Each endpoint returns a specific set of fields relevant to its function, allowing users to easily parse and utilize the information. For example, the `/fetchdata` endpoint provides a clear mapping of dates and forecast values.
The `/fetchdata` endpoint accepts a "ticker" parameter, which specifies the stock ticker symbol for which the forecast is requested. Users must ensure that the ticker is valid and formatted correctly to receive accurate data.
Users can leverage the forecasted values from the `/fetchdata` endpoint to inform trading decisions or market analysis. The "First Data Date" and "Last Data Date" help users understand the timeframe of the forecast, while the "value" indicates the predicted price movement.
Typical use cases include financial forecasting, market trend analysis, and strategic planning across various industries. Users can apply the predictions to assess potential investment opportunities or to optimize resource allocation based on anticipated market movements.
Data accuracy is maintained through the use of sophisticated machine learning algorithms and dynamic systems mathematics. Continuous updates and refinements to the algorithms help ensure that the forecasts reflect the latest market trends and data patterns.
Users can expect to see patterns indicating potential bull markets with upward price movements and bear markets with declining values. The forecasts are based on historical data trends and are designed to provide insights into future market behavior.
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API calls are deducted from your plan based on successful requests. Each plan comes with a specific number of calls that you can make per month. Only successful calls, indicated by a Status 200 response, will be counted against your total. This ensures that failed or incomplete requests do not impact your monthly quota.
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