Olaoluwa Oluwatunmise

Olaoluwa Oluwatunmise

@apostleoffinance

Building Quant Trading & Market Intelligence Systems | Data & ML Engineer | On-Chain Analytics | Risk Modeling | Algorithmic Trading | Crypto & DeFi

Global
30
Followers
1
Following
55
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 50 owned repositories

716.5M Total LOC
Python
653,514,277 lines
91.2%
N/A
Jupyter Notebook
34,278,742 lines
4.8%
N/A
Cython
15,292,820 lines
2.1%
N/A
C
7,461,766 lines
1.0%
N/A
C++
2,986,706 lines
0.4%
N/A
Other
2,971,021 lines
0.4%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Python

Python
Jupyter Notebook
Cython
C
C++

Collaboration Network

Global Impact visualization

LIVE
Olaoluwa Oluwatunmise
0 active collaborators

Repos

57

PRs

0

Growth

+18%

Top Collaborators

No collaborator data yet.

Coding Streak

Contribution activity over the past year

3 days
294
Contributions
230
Commits
12
Pull Requests
Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun
Mo
We
Fr
Based on GitHub activity
Less
More
Following
1 total
Synced via GitHub

Top Repositories

ml-hrp-crypto-portfolio

End-to-end ML-enhanced Hierarchical Risk Parity (HRP) portfolio strategy for multi-crypto assets: from research and feature engineering (price normalization, technical indicators, on-chain metrics) to predictive modeling, backtesting, and live execution-ready allocation.

18 4
Jupyter Notebook
prediction-market-maker-bot

Market-making execution bot for binary prediction markets with adaptive pricing, inventory management, and risk controls. Rust implementations.

14 3
Rust
event-driven-trading-rs

A minimal, end-to-end event-driven trading system written in Rust, designed to model market data ingestion, pluggable strategies, and deterministic execution.

9 0
Rust
Solana-Forensic-Analysis-Tool

The Solana Forensic Analysis Tool is designed to detect and analyze fraudulent activities on the Solana blockchain. The project employs a combination of traditional blockchain analysis techniques and machine learning models to trace transactions, identify suspicious wallet behaviors, and label entities involved in potential fraud.

6 2
Jupyter Notebook
Crypto-Trader-Classification

Classifying cryptocurrency traders using logistic regression. This tool aims to categorize traders into three groups: Good Trader, Average Trader, and Bad Trader, based on their trading performance metrics.

6 0
Jupyter Notebook
Energy-Price-Forecast

Building an Electricity Price Forecasting Model for the German Electricity Market. Germany's electricity market has undergone significant transformations in recent years, influenced by the integration of renewable energy sources and evolving cross-border trading mechanisms

5 1
Jupyter Notebook
Heston-SV-Model-BTC-Call-Option-Calibration

Full-stack Bitcoin options pricing dashboard using the Heston Stochastic Volatility Model. Features MLE parameter calibration, Monte Carlo simulation, multi-method pricing (Heston, MC, Black-Scholes), real-time Deribit data, and interactive visualization. Built with FastAPI + React.

4 4
Jupyter Notebook
prediction-market-maker

Market-making execution engine for binary event contracts with adaptive pricing, inventory management, and real-time risk controls. Built for Clouty/Sabi Quant Assessment.

4 0
Python
Solana-Validator-Dashboard

A web-based dashboard to visualize and analyze Solana blockchain validator performance, staking rewards, and network overview metrics.

4 1
Jupyter Notebook
VWAP-ML-Portfolio-Optimization

This project aims to develop a multi-asset trend-following strategy using VWAP (Volume Weighted Average Price) as a core indicator.

4 1
Python