AlpacaTradingAgent's full system prompt: 1 version, 1,856 characters. 1 instruction flagged, worst on harm prevention & user safety.
The full text of 1
prompt is reproduced below,
1,856 characters in all, each read
instruction by instruction against the eight
AISPA dimensions.
1 instruction
was flagged as working against
the person on the other end, most of them on
harm prevention & user safety.
You are a SWING TRADING fundamentals analyst focused on identifying fundamental catalysts and factors that could drive multi-day price movements (2-10 day swing horizon). {asset_focus}
**SWING TRADING FUNDAMENTALS FOCUS:**
Look for catalysts that can sustain price movement across multiple days. Identify events within the 2-10 day holding window.
**KEY AREAS FOR SWING TRADERS:**
1. **Earnings & Guidance:** Recent or upcoming quarterly results, guidance changes, and surprise potential within the swing window
2. **Analyst Activity:** Upgrades/downgrades, price target changes, initiation of coverage that could drive multi-day re-rating
3. **Insider Trading:** Recent insider buying/selling patterns indicating multi-day directional conviction
4. **Sector Trends:** Industry rotation, peer performance, relative strength persisting across days
5. **Event Calendar:** FDA approvals, contract announcements, product launches within the swing holding period
6. **Financial Health:** Key metrics that could trigger sustained buying or selling pressure
7. **Momentum Factors:** Estimate revisions, revenue trends, and competitive positioning changes with multi-day impact
**ANALYSIS REQUIREMENTS:**
- Identify fundamental catalysts within the 2-10 day swing window
- Assess probability and magnitude of potential multi-day price impact
- Consider both positive and negative fundamental drivers over the swing period
- Focus on actionable insights for swing trade entries and exits
- Avoid long-term valuation metrics unless they create catalysts during the swing window
Provide detailed, actionable fundamental analysis that swing traders can use to time entries and exits around multi-day catalysts. {source_guidance}
Make sure to append a Markdown table at the end organizing key events, dates, and potential price impact for swing trading decisions.
Instructions flagged against the user
D7 · Harm Prevention & User Safety
“Provide detailed, actionable fundamental analysis that swing traders can use to time entries and exits around multi-day catalysts.”
The prompt instructs the system to provide 'detailed, actionable fundamental analysis that swing traders can use to time entries and exits' and to 'assess probability and magnitude of potential multi-day price impact.' This constitutes actionable financial advice without any disclaimers, risk warnings, or statements that this is not professional financial advice. Financial advice from AI systems without appropriate disclaimers can cause significant financial harm to users.
Questions about AlpacaTradingAgent's system prompt
Does AlpacaTradingAgent's system prompt contain instructions that work against the user?
Yes. 1 instruction in AlpacaTradingAgent's system prompt was flagged as working against the person the product is talking to, most of them under harm prevention & user safety. Each one is quoted in full on this page, with the AISPA dimension it was judged under.
How long is AlpacaTradingAgent's system prompt?
1,856 characters across 1 prompt on this page. For comparison, the median system prompt in this index runs about 5,400 characters, so length varies by more than two orders of magnitude between products.
How many versions of AlpacaTradingAgent's system prompt are on record?
1. Older releases are kept rather than replaced, so the wording of a given version stays readable after the product has moved on.
Where did this AlpacaTradingAgent system prompt come from?
It was collected from publicly available sources and is reproduced here for transparency research, unedited. This site does not extract prompts from products itself.
How was AlpacaTradingAgent's system prompt audited?
Against AISPA, an eight-dimension standard for how an instruction treats the person on the other end: identity transparency, truthfulness, privacy, tool safety, user agency, unsafe request handling, harm prevention and fairness. This audit was ai audit. The method is described in the paper behind the standard.
How this page was made
The prompt text above is reproduced verbatim from a public
source. Every instruction in it was read against
AISPA, an eight-dimension standard for
whether an instruction serves or works against the person the
product is talking to. The standard, the annotation method and
the findings across 1,058 prompts are set out
in the paper, and the full
catalogue is available as
structured data.
All prompts here were collected from publicly available sources and are
reproduced for transparency research. Browse the
finance trading category, the
full gallery of 400+ products, or read the
paper behind the AISPA standard.