Stocktwits Sentiment & Retail Flow Analyzer
Pricing
from $7.00 / 1,000 results
Turn Stocktwits-style message datasets into ticker sentiment shifts, retail attention, volume breakouts and deterministic watch signals.
Pricing
from $7.00 / 1,000 results
Rating
0.0
(0)
Developer
Rafael Barreto Haddad
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
15 days ago
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You can access the Stocktwits Sentiment & Retail Flow Analyzer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "currentItems": [10 {11 "id": "m1",12 "symbol": "NVDA",13 "sentiment": "Bullish",14 "body": "NVDA breakout and strong upside, bullish long setup",15 "likes": 12,16 "replies": 3,17 },18 {19 "id": "m2",20 "symbol": "NVDA",21 "sentiment": "Bullish",22 "body": "NVDA momentum",23 "likes": 8,24 },25 {26 "id": "m3",27 "symbol": "TSLA",28 "sentiment": "Bearish",29 "body": "TSLA downside risk and bearish breakdown, short pressure",30 "likes": 10,31 "replies": 2,32 },33 {34 "id": "m4",35 "symbol": "AAPL",36 "sentiment": "Bullish",37 "body": "AAPL constructive",38 "likes": 2,39 },40 ],41 "previousItems": [42 {43 "id": "p1",44 "symbol": "NVDA",45 "sentiment": "Bearish",46 "body": "NVDA bearish",47 "likes": 3,48 },49 {50 "id": "p2",51 "symbol": "TSLA",52 "sentiment": "Bullish",53 "body": "TSLA bullish",54 "likes": 4,55 },56 ],57}58
59# Run the Actor and wait for it to finish60run = client.actor("quanmatrix/stocktwits-sentiment-flow-intelligence").call(run_input=run_input)61
62# Fetch and print Actor results from the run's dataset (if there are any)63print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")64for item in client.dataset(run.default_dataset_id).iterate_items():65 print(item)66
67# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Stocktwits Sentiment & Retail Flow Analyzer API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: