Enter a stock or market. Get its regime, social sentiment, relevant news, breakout setups and official company data as clear, sourced JSON.
Choose the kind of answer you need. Each path opens the dataset, its source, coverage and known limitations.
Sentiment, evidence and the bull/bear case
See this datasetPivot, distance, chart checks and trader rationale
See this datasetInsider trades, financial statements and guidance
See this datasetLive signals, scanner results and backtests
See this datasetYou do not need to understand the endpoint names first. Choose what you want to learn and Raspberry points you to the right dataset.
Not sure which one you need? Each page explains the answer, source and limitations.
Pick a dataset, make one request and receive structured context with the source still attached.
Pick a stock, a whole market, the breakout board, company filings or a trading strategy.
We collect the relevant sources, remove duplicates and turn inconsistent posts and filings into one predictable format.
You receive clean JSON with the evidence, source and freshness needed to judge the result yourself.
Availability is source-specific. Verify the mapping, prepared SEC records and legitimate data gaps before choosing an endpoint.
Enter a ticker to see what can be queried now, what is prepared from SEC filings and where an empty result is legitimate rather than an error.
Sentiment and news are requested on demand. Results depend on current source coverage.
SEC datasets require a valid US registrant mapping and the relevant filing history.
Open the public demos and check what Raspberry changes for yourself. No signup is required for these examples.
A raw Form 4 mixes open-market trades with vesting, tax withholding and scheduled plans.
Raspberry separates voluntary buying or selling from administrative noise and keeps the SEC footnote attached.
alertEligibleisTaxWithholdingis10b5OnefootnotesOutlook is buried in free-form 8-K and 6-K exhibits, often with different wording each quarter.
Raspberry normalizes comparable metrics, shows raised or lowered guidance and links the exact SEC evidence.
canonicalMetricrangechangeevidenceAPI documentation is hard to judge when the request, response and code examples live on different pages.
Choose a dataset, inspect a safe response and copy the same request in cURL, Python or JavaScript.
RequestResponsePythonJavaScriptEvery result keeps the useful explanation, source, freshness and known limitations visible.
Understand the conversation around a US ticker or an entire market, with the bullish and bearish arguments summarized instead of reduced to a score.
See the pre-breakout stocks experienced traders are discussing, together with their charts, rationale, pivot, distance and risk context.
Combine TradingKey, MarketBeat, MarketScreener and Yahoo Finance into one deduplicated feed with source health and AI-readable context.
Read insider transactions, reported financial statements and management guidance traced back to SEC-filed evidence.
Inspect strategy rules, live status, scanner output and backtested statistics without rebuilding the research layer yourself.
Use one API key and consistent JSON responses across datasets, with documented errors, rate limits and copy-ready examples.
Switch languages, copy the example and understand the response before using your own key.
/api/sentiment?ticker=NVDAimport requests
response = requests.get(
"https://raspberrytrades.com/api/sentiment",
headers={"x-api-key": "YOUR_API_KEY"},
params={"ticker": "NVDA"}
)
data = response.json()This interactive example never calls the live API or exposes current values.
The source depends on the dataset: public posts from X for social sentiment and trader setups; multiple financial-news providers; and SEC EDGAR filings for company data. Responses retain source and freshness information where available.
Our sentiment model reads the full text of each tweet and labels it bullish, bearish or neutral — understanding sarcasm, news and context. It is not keyword counting. The overall score is engagement-weighted.
Ticker coverage depends on the source. Social sentiment is available on demand for US-listed symbols, while company datasets require a valid mapping to an SEC registrant. Some companies also do not publish management guidance, so an empty guidance response can be a correct result.
The radar monitors a curated network of stock and options traders on X, then validates the tickers they discuss against market structure. It surfaces pre-breakout candidates with the trader rationale, chart images, pivot, distance and risk context instead of returning a bare ticker list. You can also add your own X accounts from the dashboard: they apply automatically to your radar, and to Stock Sentiment when you ask for them with include=mine. Your list is private and never changes what other users see.
Send your key in the x-api-key header on each request. One key gives you access to every endpoint.
No. Everything we provide is informational only and not investment advice. Sentiment and setups are algorithmic interpretations of public posts and can be wrong.
Generate one key and start querying sentiment, news, breakout setups, SEC company data and strategy signals.
Free during beta · No credit card required