Sharp writing on market data, trading systems, and financial product building.
A public reading room from OHLC.dev for teams building financial workflows, studying market infrastructure, and refining product decisions with cleaner data context.
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Stock Split Calendar and RUPS Calendar with Python Using IDX API
Stock Split Calendar and RUPS Calendar Intelligence is a Python-based workflow that combines data from the Stock Split Calendar API and the RUPS Calendar API to provide a centralized view of upcoming stock split events and shareholder meetings. The workflow retrieves, processes, and displays corporate event data, helping investors monitor important market activities, support investment research, and improve corporate event tracking through a single integrated solution.
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Global Impact Analysis RUPS Calendar Intelligence with Python Using IDX API
Global Impact Analysis & RUPS Calendar Intelligence is a Python-based workflow that combines data from the Global Impact Analysis API and the RUPS Calendar API to help investors monitor global market risks and upcoming corporate meetings in a single view. The workflow retrieves, normalizes, and analyzes data from both APIs to generate market intelligence that supports investment research, risk monitoring, and more informed decision-making.
Stock Split Calendar API Analysis and Warrant Calendar Tracking with Python
This article demonstrates how to combine Stock Split Calendar API and Warrant Calendar API data using Python to create a corporate action intelligence workflow, monitor upcoming events, and generate actionable market insights for investors.
Bandar Accumulation API Analysis and Pump Dump Detection with Python
Bandar Accumulation API analysis helps traders monitor smart money activity, detect unusual stock behavior, and build stronger IDX market intelligence workflows using Python and financial API data.
IDX OHLCV Price Analysis with Python and Historical Stock Data
This article explains how to build an IDX OHLCV price analysis workflow with Python by combining getLatestOHLCV and getOHLCV, cleaning both datasets, removing duplicate dates, calculating price movement metrics, visualizing close price and volume, and exporting the final result into CSV and Excel files.
IDX Corporate Action Screener with Python and Dividend Calendar Data
This article explains how to build an IDX corporate action screener with Python by combining getDividendCalendar and getTodayCorporateActions, cleaning both datasets, merging them by ticker, creating priority scores, visualizing event categories, and exporting the result into CSV and Excel files.
Sector Stock Screener with Python and IDX Company Data
This article explains how to build an IDX sector stock screener with Python by combining getAllSectors and getSectorCompanies, retrieving IDX sector data and company data, cleaning both datasets, matching selected sector and subsector information, and producing a structured project output for sector-based stock analysis.
IDX Dividend Stock Screener with Python and Trending Stocks Data
This article explains how to build an IDX dividend stock screener with Python by combining getDividendCalendar and getTrendingStocks, cleaning both datasets, merging them by ticker, calculating a combined score, visualizing the Top 15 stocks, and exporting the result into CSV and Excel files.
IDX Active Stock Screener with Python and Market Mover Data
This article explains how to build an IDX active stock screener with Python by combining getMarketMover and getTopStocks, cleaning both datasets, merging them by ticker, calculating a combined score, visualizing the Top 15 active stocks, and exporting the final result into CSV and Excel files.
IDX Sector Stock Screener with Python and Sector Companies API
This article explains how to build an IDX sector stock screener with Python by combining getAllSectors and getSectorCompanies, retrieving IDX sector data and company data, cleaning both datasets, matching selected sector and subsector information, and producing a structured project output for sector-based stock analysis.
Analyzing Stock Price Movement Around Right Issue Events with Python
This article explains how to analyze stock price movement around right issue events by combining getOHLCV data with getRightIssueCalendar data, cleaning both datasets, calculating price and volume metrics, visualizing close price and trading volume, and exporting the final analysis into CSV and Excel files.
Building IDX Stock Reference Data with Python and Broker Codes API
This tutorial explains how to build IDX stock reference data by combining stock symbol data from the getIdxSymbols API and broker code data from the getBrokerCodes API, then cleaning, standardizing, and summarizing both datasets into a structured project output.
How to Use getMorningBriefing and getTrendingStocks for IDX Stock Analysis
This tutorial explains how to combine getMorningBriefing and getTrendingStocks APIs to retrieve IDX market briefing data, process trending stock data, calculate a trending score, visualize the top stocks, and export the final analysis into CSV and Excel files.
How to Use scanMultibagger for IDX Stock Analysis with getBrokerActivity
This tutorial explains how to use scanMultibagger to find potential IDX multibagger stock candidates, then combine the result with getBrokerActivity data to calculate broker activity score, merge both datasets, and rank the top candidates using a combined score
Advanced Orderbook and Seasonality API Analysis with Python
This article explains how to build a financial analytics workflow using Orderbook and Seasonality API data with Python, including API integration, JSON normalization, data cleaning, visualization, seasonality analysis, orderbook monitoring, and market intelligence reporting.
Advanced Fundachart Metrics API Analysis with Python
This article explains how to build a financial analytics workflow using the Fundachart Metrics API with Python, including API integration, JSON normalization, data cleaning, visualization, correlation analysis, and market intelligence reporting.
Building an Indonesian Market Intelligence API Pipeline with Python: Morning Briefing & Forex IDR Impact Analysis
This article demonstrates how to create a financial market intelligence workflow using Python and RapidAPI. The project integrates Morning Briefing data and Forex IDR Impact analysis from the Indonesia Stock Exchange API. It covers API configuration, JSON normalization, data cleaning, market sentiment classification, data visualization, and summary reporting while explaining every notebook cell step-by-step.
Insider Trading Orderbook Data Analysis Python API Guide
Learn insider trading orderbook data analysis Python API using real IDX market data. This guide explains how to fetch BBCA orderbook data and insider trading data, inspect JSON structures, process API responses into pandas DataFrames, visualize orderbook volume, analyze insider trading action types, track insider trading trends by date, and summarize the results step by step in Google Colab.
Dividend Calendar Bonus Calendar Data Analysis Python API Guide
Learn dividend calendar and bonus calendar data analysis using Python API with real corporate action data. This tutorial explains how to fetch dividend and bonus calendar information, inspect nested JSON responses, process API data into pandas DataFrames, combine multiple datasets, visualize monthly trends, and analyze dividend activity step by step using Python in Google Colab.
Broker Summary Broker Activity Data Analysis Python API Guide
Learn broker summary broker activity data analysis Python API using real IDX market data. This guide explains how to fetch broker activity and broker summary data, inspect JSON responses, convert data into DataFrames, combine both datasets, and visualize top brokers and stocks based on net value.
Dividend Calendar IPO Calendar Data Analysis Python API Guide
Learn dividend calendar IPO calendar data analysis Python API using real corporate action data. This guide explains how to fetch IPO and dividend calendar data, convert API responses into DataFrames, combine datasets, visualize corporate action counts, and analyze top dividend values step by step in Google Colab.
IPO Calendar Global Impact Analysis Python API Guide
Learn ipo calendar global impact analysis Python API step by step using real financial market data. This guide explains how to fetch IPO calendar data, process global impact analysis, visualize IPO trends, compare final IPO prices, analyze active global events, and generate market insights using Python in Google Colab.
Market Types Search News Data Analysis Python API Guide
Learn market types search news data analysis Python API using real news data. This guide explains how to fetch, process, and visualize market types and financial news step by step.
IPO Calendar Right Issue Calendar Data Analysis Python API Guide
Learn ipo calendar right issue calendar data analysis Python API using real data. This guide shows how to fetch, process, and visualize corporate actions step-by-step.