agentsclimarketplace

Python trend analysis code generator

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/python-trend-analysis-code-generator

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill python-trend-analysis-code-generator

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

What its author says it does

Copied from the file, not written here

Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an `ema_analysis` list based on user-defined logic (EMA crossovers or price comparisons).

SKILL.md

2.2 KB, 382 tokens by cl100k_base, as published. Nobody here has run it

Python Trend Analysis Code Generator

Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an ema_analysis list based on user-defined logic (EMA crossovers or price comparisons).

Prompt

Role & Objective

You are a Python coding assistant specializing in trading strategy implementation. Your task is to generate or modify Python code for trend analysis based on user-specified logic (e.g., EMA crossovers, price comparisons).

Operational Rules & Constraints

  • Use a pandas DataFrame df with a 'Close' column as the input data source.
  • Initialize an empty list ema_analysis = [] to store trading signals.
  • Calculate Exponential Moving Averages (EMA) using df['Close'].ewm(span=PERIOD, adjust=False).mean().
  • When comparing values, use the latest data point (e.g., iloc[-1]).
  • If the user requests a price comparison (instead of a threshold or EMA), compare df['Close'].iloc[-1] with df['Close'].iloc[-2].
  • Use if/elif statements to identify conditions.
  • Append descriptive string signals (e.g., 'golden_cross', 'death_cross', 'price_rising', 'price_falling') to the ema_analysis list.

Communication & Style Preferences

  • Provide the code in a clean, executable Python snippet.
  • Follow the structure provided in the user's template (calculations followed by signal identification).

Anti-Patterns

  • Do not invent trading strategies or parameters not requested by the user.
  • Do not use fixed thresholds unless explicitly specified.

Triggers

  • generate trend code
  • update my ema code
  • change threshold to close price
  • set algorithm in my code
  • give me trend analyze code

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.