Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - jealous/stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - stockstats/stockstats.py at master · jealous/stockstats

Kafka Streams Example - Some aggregates on fake stock data - gwenshap/kafka-streams-stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - stockstats/setup.py at master · jealous/stockstats

December 16, 2018 - stockstats has one repository available. Follow their code on GitHub.

July 30, 2023 - Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - stockstats/test.py at master · jealous/stockstats

July 30, 2023 - Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - Releases · jealous/stockstats

public class StockStatsExample { · public static void main(String[] args) throws Exception { · Properties props; if (args.length==1) props = LoadConfigs.loadConfig(args[0]); else · props = LoadConfigs.loadConfig(); ·

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - Workflow runs · jealous/stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - stockstats/README.md at master · jealous/stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - royopa/stockstats

The first way relies on the stockstats library, which is a wrapper for pandas dataframes.

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - stockstats/stockstats.py at dd823d3a1c4c2c0de12c99a1140476e5362f3fac · jealous/stockstats

Automated stock stats aggregation. Contribute to ddrscott/stocking development by creating an account on GitHub.

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. - zachwill/stockstats

jealous/stockstats - (https://github.com/jealous/stockstats) - BSD 3-Clause ·

<groupId>kafka-streams-stockstats</groupId> <artifactId>kafka-streams-stockstats</artifactId> <version>1.1-SNAPSHOT</version> ·

January 18, 2018 - import pandas as pd import stockstats df = pd.DataFrame(candles) #im getting the candles data from a numpy arrray "candles = np.array(data)" stock = stockstats.retype(pd.DataFrame(candles)) data['rsi']=stock_df['rsi_14']

Calculate single buy and sell date to yield max profits for a stock - dventimiglia/StockStats

"# Stockstats - a handy, finance-oriented wrapper of a pandas DataFrame" ], "cell_type": "markdown", "metadata": {} }, { "source": [ "## Setup" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": ...