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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IDX Market Intelligence System Using Python and RapidAPI
Learn how to build an IDX market intelligence system with Python and RapidAPI to monitor broker activity, analyze subsectors, and detect potential pump dump risks in Indonesian stocks.
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Articles 02 to 05, arranged for fast scanning.
IDX Smart Money Analysis Using Python and RapidAPI
Build an IDX smart money analysis system using Python and RapidAPI to track broker activity, sector correlation, and subsector data from the Indonesia Stock Exchange.
IDX Stock Analysis with Python and RapidAPI
IDX stock analysis can be performed efficiently using Python and RapidAPI. This project builds a compact market analysis dashboard for the Indonesia Stock Exchange, covering Sec...
IDX Market Intelligence Dashboard Using Python: Market Movers, Top Stocks, and Smart Money Flow
This article presents an IDX Market Intelligence Dashboard built with Python that combines market movers, top stocks, and BBCA smart money flow data.
IDX Smart Money Dashboard Python: Analyze Broker Flow and Bandar Distribution Data
This article explains how to build an IDX Smart Money Dashboard using Python to analyze broker flow, top broker activity, and bandar distribution data. The project integrates IDX API data, processes complex JSON responses, extracts market information, and presents the results through a structured dashboard. By combining multiple smart money indicators, this workflow provides a practical framework for understanding market participation and transaction behavior in the Indonesian stock market.
IDX Insider Retail Bandar IPO Momentum Dashboard for Smarter Stock Analysis
The article explains a five-cell Python Google Colab dashboard that uses IDX RapidAPI data to combine insider screening, retail sentiment, bandar or smart money sentiment, broker activity, and IPO momentum into one market analysis workflow.
IDX Insider Analysis Using Python
This article explains how to build an IDX market intelligence dashboard using Python and the IDX API to analyze insider transactions retail sentiment bandar or smart money activity broker flows and IPO momentum. The project uses five Python cells covering API configuration API requests robust JSON parsing data extraction and final dashboard presentation.
Insider Screening, Insider Net Summary & Stock Correlation Matrix Using Python
Stock market analysis requires more than simply monitoring price movements. Investors can also examine insider transactions and relationships between stocks to obtain additional...
IDX Fundamental Technical Intelligence Dashboard Using Python and IDX API
This article explains how to develop an IDX Fundamental Technical Intelligence Dashboard using Python and IDX API. The system integrates technical analysis, insider screening, and multi-market exposure data to process stock market information, generate technical scores, and provide structured investment insights through automated analysis and visualization.
Building an IDX Smart Money Analysis Dashboard with Broker Activity and Smart Money Flow Using Python
Learn how to build an IDX Smart Money Analysis Dashboard using Python and IDX API to analyze broker activity, smart money flow, transaction data, and stock market signals.
BBCA Fundachart Dashboard with Global Impact and Latest OHLCV
The BBCA Fundachart Dashboard is a Python-based Google Colab project designed to combine fundamental chart data, global market impact information, and the latest OHLCV data into...
IDX Insider and Whale Activity Dashboard Using Python
This project builds an IDX Insider and Whale Activity Dashboard using Python and RapidAPI to analyze Insider Screening, Whale Transactions, and Insider Net Summary data in a complete five-cell Google Colab workflow.
BBCA Tradebook Dashboard with Company Profile and Broker Trade
This project builds a BBCA Tradebook Dashboard using Python and RapidAPI to analyze Tradebook Chart data, company profile information, and broker trading activity for XL and AK in a complete five-cell Google Colab workflow.
BBCA Market Analysis Dashboard with Seasonality Running Trade and Foreign Ownership
This project builds a BBCA Market Analysis Dashboard using Python and RapidAPI. It combines Seasonality, Running Trade, and Foreign Ownership data into a complete five-cell Google Colab workflow.
IDX Insider Trading Dashboard with Fundachart Using Python
This project builds an IDX Insider Trading Dashboard using Python and RapidAPI. It combines insider trading data for BBCA, broader insider activity across BBCA, BUMI, and TLKM, and Fundachart data for BBCA and TLKM in a complete five-cell Google Colab workflow.
BBCA Fundamental Analysis Dashboard with Holding Composition Emiten Info and Key Statistics
This project builds a BBCA Fundamental Analysis Dashboard using Python and RapidAPI. It combines Holding Composition, Emiten Information, and Key Statistics into a complete five-cell Google Colab workflow.
IDX Retail Analysis Dashboard with Sector Rotation Risk Reward and Multibagger Scan
This project builds an IDX Retail Analysis Dashboard using Python and RapidAPI. It combines Sector Rotation, Risk Reward analysis for BBCA, and a Multibagger Scan for the Energy sector in a complete five-cell Google Colab workflow.
IDX Global Market Analysis Dashboard Using Python
This project demonstrates how to build an IDX Global Market Analysis Dashboard using Python and RapidAPI. The notebook retrieves Global Market Overview and Global Indices Impact data, normalizes different API response structures, displays detailed market information, and generates a final dashboard.
IDX Global Market Analysis with Global Market Overview and Global Indices Impact
This project demonstrates how to build an IDX Global Market Analysis Dashboard using Python and RapidAPI. The notebook retrieves Global Market Overview and Global Indices Impact data, normalizes different API response structures, displays detailed market information, and generates a final dashboard.
Building an IDX Market Data Dashboard with Broker Codes Forex IDR Impact and US Stocks Parent
This project demonstrates how to build an IDX Market Data Dashboard using Python and RapidAPI. The notebook retrieves Broker Codes, Forex IDR Impact, and US Stocks Parent data for GOTO and BUKA before normalizing the API responses into structured pandas DataFrames and preparing them for a final market dashboard.
IDX Sector Companies and Sector Correlation Dashboard Using Python
This project demonstrates how to build an IDX Sector Companies and Sector Correlation Dashboard using Python and RapidAPI. It retrieves companies within a selected IDX subsector together with sector correlation analysis, normalizes different API response structures, prepares clean pandas DataFrames, and generates a dashboard for analyzing sector composition and market relationships.
IDX Sector Rotation and Breakout Alerts Dashboard Using Python
This project demonstrates how to build an IDX Sector Rotation and Breakout Alerts Dashboard using Python and RapidAPI. It retrieves retail sector rotation analysis together with breakout alert data, normalizes nested JSON responses, converts them into pandas DataFrames, and generates a concise dashboard for monitoring market momentum on the Indonesia Stock Exchange.
IDX Seasonality and Running Trade Dashboard Using Python
This project demonstrates how to build an IDX Seasonality and Running Trade Dashboard using Python and RapidAPI. It retrieves historical seasonality statistics together with real-time running trade data for BBCA, normalizes different API response structures, converts the results into pandas DataFrames, and generates an informative dashboard for market analysis.
IDX Emiten Information and Insider Trading Dashboard Using Python
This project demonstrates how to build an IDX Emiten Information and Insider Trading Dashboard using Python. It retrieves detailed company information together with insider trading transactions for BBCA, normalizes different API response structures, prepares structured DataFrames, and produces a comprehensive dashboard for Indonesia Stock Exchange analysis.