Solana breakout-pressure engine that filters fake volume and ranks tradable continuation setups.

An experimental ERC20 token implementing adaptive tokenomics through an auto-adjusting transfer tax. The contract monitors recent transfer volume in a configurable time window and dynamically increases or decreases fees based on market activity. A clean, dependency-free demonstration of self-regulating, volume-responsive economic design.

Bookmap Order Flow Heatmap Premium provides the Complete Edition with Professional Build order flow visualization. Enterprise Setup supports installation and download on Windows trading workstations.

Stock analysis using Syncfusion MAUI Toolkit with features like Candle Chart, Volume Analysis, DateTime Range Selector, and Segmented Control for analyzing prices and market trends over different time periods.

High-performance TypeScript technical indicators library with 45+ indicators optimized for real-time trading systems. Features memory-efficient architecture, complete type safety, and comprehensive documentation. Used in production by Gainium trading platform.

Python tool that analyzes market sentiment based on option metrics

Pix4Dmapper Enterprise Photogrammetry Suite — drone mapping, orthomosaics, point clouds and volume measurements.

Volume Whale Detector 2026 – Detect large player activity through abnormal volume spikes on exchanges. No wallet tracking, just public market data. Setup.exe included.

Volume-Based Overbought/Oversold Indicator 2026 – Advanced trading indicator using volume analysis. Alternative to RSI with volume-weighted signals. Setup.exe included.

Transparent Bitcoin risk-management model based on SMA50, SMA200, RSI and volume analysis. Includes dashboard, Telegram bot and historical backtesting.

A python wrapper for speech feature extractoin

Volume analysis of 3D point sets in IgorPro

Volume Color is a MetaTrader/cTrader indicator that plots volume bars colored after the main chart bars.

A Python-based project for Stock Market Analysis and Visualization using Tata Motors, Maruti Suzuki, and Mahindra & Mahindra stock data.

Analyzes multi-year NSE/BSE delivery volume data to detect abnormal spikes using percentile rankings and trigger thresholds.

This is a dynamic Cryptocurrency Analysis Dashboard built with Streamlit and Plotly, covering 10 major cryptocurrencies (BTC, ETH, etc.). It visualizes advanced analytics like Time Series Decomposition, Global Correlation Heatmaps, and Volatility, with all data converted to Indian Rupees (INR) and controlled by global filters.