Integration: Adanos Market Sentiment
Stock and crypto market sentiment from Reddit, X / FinTwit, financial news, and Polymarket
Table of Contents
Overview
Adanos provides structured market sentiment for stocks and crypto. The
AdanosMarketSentiment component makes signals from Reddit, X / FinTwit, financial news, and
Polymarket available to Haystack pipelines and agents without adding trading or portfolio logic.
The community-maintained integration supports sentiment lookups, trending assets, aggregate market sentiment, asset comparisons, search, and dataset statistics. Stock requests can use Reddit, X, news, or Polymarket; crypto requests use Reddit.
Create an API key at adanos.org/register. Free, Hobby, and Professional accounts use the same component; the API applies the quota and historical access available to the key’s plan.
Installation
Install the released component from PyPI:
pip install "adanos-haystack==0.1.1"
Provide the API key through the ADANOS_API_KEY environment variable.
Usage
Component
from haystack_integrations.components.tools.adanos import AdanosMarketSentiment
sentiment = AdanosMarketSentiment()
result = sentiment.run(
operation="sentiment",
asset_type="stock",
source="news",
symbol="NVDA",
)
print(result["result"])
Both synchronous run and asynchronous run_async calls are supported.
Investment Research Agent
A research agent can combine private investment notes retrieved by Haystack with current external sentiment from Adanos. In this example, the agent searches an internal document store, calls Adanos for relevant stock sentiment, and keeps the two evidence sources distinct in its assessment:
from haystack.components.agents import Agent
from haystack.components.generators.chat import OpenAIChatGenerator
from haystack.components.retrievers.in_memory import InMemoryBM25Retriever
from haystack.dataclasses import ChatMessage, Document
from haystack.document_stores.in_memory import InMemoryDocumentStore
from haystack.tools import ComponentTool
from haystack_integrations.components.tools.adanos import AdanosMarketSentiment
document_store = InMemoryDocumentStore()
document_store.write_documents(
[
Document(
content=(
"NVDA research note: data-center demand remains the main growth driver, "
"while customer concentration is a material risk."
),
meta={"ticker": "NVDA"},
)
]
)
research_tool = ComponentTool(
component=InMemoryBM25Retriever(document_store=document_store, top_k=3),
name="internal_research",
description="Search approved internal investment research and return relevant documents.",
)
adanos_tool = ComponentTool(
component=AdanosMarketSentiment(),
name="market_sentiment",
description=(
"Get current and historical stock or crypto market sentiment from Reddit, "
"X / FinTwit, financial news, and Polymarket."
),
)
agent = Agent(
chat_generator=OpenAIChatGenerator(model="gpt-4o-mini"),
tools=[research_tool, adanos_tool],
system_prompt=(
"You are an investment research assistant. Use internal_research for private notes "
"and market_sentiment for external sentiment evidence. Clearly distinguish the two "
"sources, mention conflicting signals, and do not present the result as financial advice."
),
)
result = agent.run(
messages=[
ChatMessage.from_user(
"Assess NVDA using our internal research and external sentiment from "
"2026-07-21 through 2026-07-28."
)
]
)
print(result["last_message"].text)
See the Adanos API reference and the integration repository for all operations and parameters.
License
adanos-haystack is distributed under the terms of the Apache-2.0 license.