Quant Trading with Bangkit
Beyond Correlation: Who Leads IHSG & USDIDR? A Directed Macro Network
8:36
Quant Trading with Bangkit
Track 1.2 — Returns & Compounding
13:22
Quant Trading with Bangkit
Track 1.1 — Quant Mindset | Hypothesis → Data → Backtest → Risk → Execution
14:55
Quant Trading with Bangkit
Portfolio Construction in Indonesia: What Beats 60/40 Out-of-Sample?
5:49
Quant Trading with Bangkit
I Built a Walk-Forward Macro Random Forest to Trade Rupiah (Results + What Actually Drives It)
8:11
Quant Trading with Bangkit
Is GARCH Really Better? USDIDR Volatility Forecasting with QLIKE
5:37
Quant Trading with Bangkit
Predicting IHSG Crash Risk in 5 Days Using Random Forest (Machine Learning)
5:01
Quant Trading with Bangkit
How Quants Use PCA to Read Indonesian Markets
5:41
Quant Trading with Bangkit
Do IHSG, Rupiah, and SBN Move Together in a Crisis?
6:45
Quant Trading with Bangkit
Hidden Markov Model (HMM) for Indonesian Markets-15 Years of Regimes Explained
9:22
Quant Trading with Bangkit
The Quant Guide to USDIDR Exotic Options — Monte Carlo Simulation
7:49
Quant Trading with Bangkit
Intro to Hidden Markov Models (HMM) — Explained Simply for Finance
4:48
Quant Trading with Bangkit
Can a Simple Moving Average Beat the Jakarta Composite Index? (Quant Tested)
6:49