Trading Indicators From Price Data Agent Skill

by besoeasy

Compute common trading indicators from OHLCV price data for analysis and strategy development.

433 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

127

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/besoeasy/open-skills --skill trading-indicators-from-price-data

The instruction itself

5 sections, as written by the author

Trading Indicators from Price Data (20 common indicators)

Calculate 20 widely used trading indicators from OHLCV candles (open, high, low, close, volume) using Python.

This skill is useful for:

signal generation
strategy backtesting
feature engineering for ML models
market condition dashboards

Requirements

Install dependencies:

pip install pandas pandas-ta

Input data must include these columns:

open
high
low
close
volume

20 indicators included

RSI (14)
MACD line (12,26)
MACD signal (9)
MACD histogram
SMA (20)
SMA (50)
EMA (20)
EMA (50)
WMA (20)

10. Bollinger upper band (20,2)

11. Bollinger middle band (20,2)

12. Bollinger lower band (20,2)

13. Stochastic %K (14,3,3)

14. Stochastic %D (14,3,3)

15. ATR (14)

16. ADX (14)

17. CCI (20)

18. OBV

19. MFI (14)

20. ROC (12)

Notes

Indicators need warmup candles (first rows can be NaN).
For stable output, use at least 200 candles.
If you run this on minute candles, indicators are intraday; on daily candles, they are swing/position oriented.

Agent prompt

You have a trading-indicators skill.

When given OHLCV price data, calculate the following 20 indicators:
RSI(14), MACD line/signal/histogram (12,26,9), SMA(20), SMA(50), EMA(20), EMA(50), WMA(20),
Bollinger upper/middle/lower (20,2), Stoch %K/%D (14,3,3), ATR(14), ADX(14), CCI(20), OBV, MFI(14), ROC(12).

Return a table with the latest value of each indicator and include the last 50 rows when requested.
If data is insufficient, ask for more candles.

Other skills for the same job

different authors, same section of the catalogue

Invoice Organizer

by frostant

×5

Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

15k tokens scripts

Analyzing Financial Statements

by anthropics

vendor ×2

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

8k tokens scripts

Creating Financial Models

by anthropics

vendor ×2

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.

Crypto wallet operations via the awal CLI — sign in, check balances, send USDC/ETH/POL/SOL, trade tokens, fund the wallet, and use the x402 payment protocol to discover paid services, pay for API calls, monetize an API, or query onchain data. Use whenever the user mentions signing in, login, authentication, wallet status, balance, address, sending money, paying someone, transferring tokens, ENS names, swapping/trading/converting tokens, funding/topping up/onramp, USDC, ETH, POL, SOL, the x402 bazaar, paid APIs, monetizing an endpoint, or querying onchain data on Base.

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.

Braintree Automation: manage payment processing via Stripe-compatible tools for customers, subscriptions, payment methods, and transactions

2k tokens needs MCP

How to use it

Copy the folder

Take besoeasy/trading-indicators-from-price-data from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.