Microeconomics/macroeconomics charts in ggplot2
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Updated
Oct 11, 2021 - R
Microeconomics/macroeconomics charts in ggplot2
2026 SMC Trading Toolkit: Real-Time Order Blocks & Fair Value Gaps for MT5
MQL5-native Smart Money Concepts indicator for MT5 — detects Order Blocks, BOS/CHOCH, liquidity sweeps, and Fair Value Gaps in real-time. Built for institutional-style traders who need clean structure analysis without repaint.
Smart Money Concepts indicator for MetaTrader 5. Detects liquidity, order blocks, break of structure, and market structure for advanced trading strategies.
Advanced Volume Profile indicator for MetaTrader 5 with support for price action, smart money concepts, and supply & demand trading.
Manage your risk in trading using position size optimizer
Implementation for “Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems.” (NeurIPS 2025)
Professional Supply & Demand indicator for cTrader with automated BOS detection and momentum validation.
Analysis and forecasting of Canadian marketable natural gas production with LNG supply adequacy assessment and interactive dashboard
키움 수급 데이터 수집 및 퀀트 분석 (kiwoom-client 기반) — 매집 스크리너 포함
Welcome to the Simulation and Modeling Repository! This repository serves as a central hub for lecture notes, lab exercise, and (coding) assignments related to the simulation and modeling subject.
MQL5 volume profile indicator for MT5 — maps high-volume nodes, value areas, and price acceptance zones to identify institutional supply & demand levels. Built for SMC and ICT traders who confluence volume with market structure.
Display TradingView-style Volume Profile on MetaTrader 5 and 4 with POC, Value Area, and session statistics in a desktop manager.
💹 seasonal patterns to GROW REVENUE • 2023
This was a case study for the PGDDS course from IIIT, Bangalore and Upgrad. Here, we're trying to find the supply demand gap between Uber rides to and from the airport for a given city using a given dataset. The project is done in R.
Supply-demand gap analysis identifying unmet ride demand and driver allocation recommendations using Python and SQL
Supply-Demand plotting for promemoria in microeconomics.
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