Victory (Zafar)

Projects

Winly

Winly is a clean, fast desktop app that helps forex, gold, and CFD traders instantly understand their real trading performance.

🏆 Winly – MetaTrader 5 Trade History Analyzer

Personal Project | Python Desktop Application | February 2025
Role: Solo Developer & Designer

Overview

Winly is a clean, fast desktop app that helps forex, gold, and CFD traders instantly understand their real trading performance. Users simply enter their MT5 login details, point to their terminal, and click “Analyze My Trades”.
The app connects locally to MetaTrader 5, pulls the full trade history, automatically filters out deposits, withdrawals, swaps, commissions, bonuses and other non-trading operations, then displays honest, actionable insights.

Key Highlights

Shows Current Balance, Total Real Trades, Win Rate, and a smart recommendation

Identifies your best performing pair and most traded pair

Beautiful modern Tkinter GUI with smooth scrolling and responsive feedback

Built-in warning system and error handling to prevent common user mistakes

Available as a **standalone .exe** (no Python required) for easy distribution

Technical Implementation

Language: Python 3

GUI: Tkinter + ttk (custom scrollable interface)

MT5 Integration: Official `MetaTrader5` Python package

Data Processing: Smart symbol filtering with `defaultdict` and datetime handling

Distribution: PyInstaller (single-file .exe)

Security: Credentials never saved to disk, everything runs locally

What I Learned

Building professional desktop applications from scratch

Working with external financial APIs and handling real-time connection errors

Designing intuitive user interfaces with proper feedback loops

Packaging and distributing Python apps for non-technical users

Writing clean, maintainable code with clear documentation

Winly v2 updated

Winly V2 is a clean, powerful desktop app that helps forex, gold, indices, and CFD traders instantly understand their real trading performance with professional-grade insights. Users enter their MT5 login details, point to their terminal, and click “Analyze My Trades”. The app connects locally to MetaTrader 5, reconstructs every closed trade (with accurate entry & exit prices), automatically filters out deposits, withdrawals, swaps, commissions, bonuses and other non-trading operations, then displays honest stats plus two powerful new features: full CSV export and Equity Curve graph.

Key Highlights

Shows Current Balance, Total Real Trades, Win Rate, and smart recommendation (best & most traded pairs)
New in V2: Accurate trade reconstruction (entry price, exit price, partial closes supported)
New in V2: Export full trade history to CSV with exact columns: date, pair, type, size, entry, exist, profit, cumulative_equity
New in V2: Equity Curve Graph – clean matplotlib line plot (Time vs Cumulative Equity) saved as high-quality PNG
Beautiful modern Tkinter GUI with smooth scrolling and real-time status feedback
Built-in smart filtering + error handling to prevent common user mistakes
Available as a **standalone .exe** (single file, no Python required) for instant use

Technical Implementation

Language: Python 3
GUI: Tkinter + ttk (scrollable interface with custom styling)
MT5 Integration: Official MetaTrader5 package (full deal history reconstruction)
Data Processing: pandas for CSV export + cumulative equity calculation
Visualization: matplotlib (offline equity curve plotting & PNG export)
Distribution: PyInstaller (one-file .exe with custom icon support)
Security: Credentials never saved, everything runs 100% locally on your PC

What I Learned

Building professional-grade desktop applications from scratch
Deep integration with financial APIs (MetaTrader5 deal reconstruction)
Designing intuitive user flows with instant feedback and error prevention
Exporting structured data (CSV) and generating visualizations (matplotlib graphs)
Packaging complex Python apps (pandas + matplotlib + MT5) into a clean single .exe
Writing clean, maintainable code with full version history and documentation

Download Winly.exe → [Releases Page](https://github.com/victory65/Winly/releases/latest/download/Winly.exe)

⭐ Featured on my portfolio because it combines financial domain knowledge, GUI design, API integration, and user experience — all in one polished tool.

Live Demo GitHub

Forex Smart Scanner

Forex Smart Scanner is a real-time monitoring tool that helps traders identify high-probability currency pairs across multiple timeframes.

Forex Smart Scanner – Real-Time Pair Selector & Smart Money Detector

Personal Project | Algorithmic Trading Tool | Python + MetaTrader 5 | 2025–2026
Role: Solo Developer (concept, coding, strategy logic, logging & monitoring)

Overview

Forex Smart Scanner is a real-time monitoring tool that helps traders identify high-probability currency pairs across multiple timeframes. It connects directly to **MetaTrader 5** via the official Python API, scans ~30 major/minor/cross pairs every 30 minutes, and ranks them based on:

Volatility (ATR – Average True Range)

Recent momentum (percentage price change)

Smart Money Concepts (volume spikes + reversal patterns)

Diversification logic (avoids clustering on same currencies)

The tool selects the **top 3 non-correlated pairs** to focus on and sends clear, actionable notifications when high-activity or institutional ("smart money") setups appear.

Built for continuous background operation with clean logging — perfect for traders who want data-driven pair selection without staring at charts all day.

Key Features

Live connection to MT5 terminal (no external data feeds needed)

Multi-timeframe analysis (30-min & 2-hour recommended)

ATR + price change scoring with normalized ranking

Smart money detection (volume spike + bullish/bearish reversal logic)

Automatic top-3 pair selection avoiding currency overlap (e.g. no EURUSD + EURJPY together)

Detailed console logging + notification triggers for high volatility or institutional activity

Configurable thresholds for ATR and price movement filters

Graceful shutdown & MT5 cleanup on exit

Technical Stack

Language: Python 3

Core Libraries: `MetaTrader5`, `pandas`, `numpy`

Other: `logging`, `time`, `uuid` (for potential future extensions)

Platform Integration: Official MetaTrader5 Python package

Execution Style: Long-running monitor loop (runs indefinitely until stopped)

What I Learned / Challenges Overcome

Interfacing reliably with live broker terminals (MT5 init, error handling, shutdown)

Implementing financial indicators from scratch (ATR, true range calculation)

Designing a scoring system that balances volatility, momentum & smart money signals

Avoiding over-fitting to one currency group via diversification logic

Writing production-ready logging for long-running processes

Balancing performance (scanning many pairs without freezing MT5)

Future Roadmap Ideas

Email / Telegram / Discord notifications instead of console only

Backtesting module using historical MT5 data

GUI dashboard (Tkinter or Streamlit)

Machine learning ranking (e.g. clustering pairs or predicting next move)

Support for more exotic pairs / indices / commodities

⭐ Showcased because it combines real broker integration, technical analysis, smart money concepts, and practical trading workflow automation — a full end-to-end Python trading utility..

GitHub

VicX AI – Telegram OpenAI Assistant

VicX AI is a lightweight, always-on personal AI assistant that brings the power of GPT-3.5-turbo straight into Telegram.

VicX AI – Telegram OpenAI Assistant

Personal Project | AI Chatbot & Automation Tool | Python + Telegram + OpenAI | 2023–2026 Role: Solo Developer (full concept, API integration, GUI design, threading & deployment logic)

Overview

VicX AI is a lightweight, always-on personal AI assistant that brings the power of GPT-3.5-turbo straight into Telegram.
Users can chat naturally in Telegram and get intelligent, context-aware replies while a clean Tkinter desktop window runs in the background showing a live animated “Connected to Telegram” status indicator (blinking red ↔ white).
It remembers the entire conversation history, supports a secret stop command (`vicx`), and runs smoothly with separate threads so the GUI stays responsive and the bot never drops messages.
Perfect for daily personal use, quick AI prototypes, or as a base for smarter Telegram bots.

Key Features

Full Telegram bot integration using `telebot` with real-time message handling

GPT-3.5-turbo responses with conversation memory

Live Tkinter status window with smooth color-cycling animation (red ↔ white)

Multi-threaded architecture (bot polling + GUI run independently)

Hidden graceful shutdown command (`vicx`)

Simple setup with easy-to-replace token placeholders

Clean, minimal code — fully functional in under 100 lines

Technical Stack

Language: Python 3

Core Libraries: `telebot`, `openai` (ChatCompletion), `tkinter`, `threading`, `itertools` (for cycling animation)

APIs: Telegram Bot API + OpenAI Chat API

Execution Style: Long-running background service with desktop status monitor

What I Learned / Challenges Overcome

Combining Telegram polling and Tkinter GUI without freezing or blocking

Managing conversation history in memory for contextual replies

Creating smooth animations in Tkinter using threads and `window.after()`

Handling API keys securely with placeholders

Building a reliable always-on bot with clean shutdown logic

Keeping the entire project simple yet professional and production-ready

Future Roadmap Ideas

Upgrade to latest OpenAI SDK (v1+)

Add voice message support (speech-to-text → AI → text-to-speech)

Persistent memory with SQLite

Web-based dashboard (Streamlit/Flask) instead of Tkinter

Image generation (DALL·E) and document analysis

Multi-user support + admin panel

Docker + VPS deployment for 24/7 hosting

⭐ Showcased because it demonstrates real-world API integration, multi-threading, GUI development, and practical AI application — a clean, ready-to-use personal AI tool in pure Python.

GitHub

Metaload Lite – Fast URL File Downloader

Metaload Lite is a lightweight, no-frills command-line tool that lets you download any file from the internet by simply pasting its direct URL.

Metaload Lite – Fast URL File Downloader

Personal Project | Utility Tool | Python | 2022–2026
Role: Solo Developer (full concept, coding, user flow, timing & error handling)

Overview

Metaload Lite is a lightweight, no-frills command-line tool that lets you download any file from the internet by simply pasting its direct URL.
Built as a quick daily utility, it handles the entire process in one clean loop: enter link → choose file type → watch real-time download status + exact timing.
No GUI, no bloat — just pure Python that works instantly in any terminal. Perfect for students, developers, or anyone who needs to grab PDFs, images, videos, or documents quickly without installing heavy download managers.

Key Features

Direct URL download using `requests` (supports any public file link)

Automatic download timing with `perf_counter()` for precise seconds

User-friendly prompts for link and custom file name + extension

Live status messages (“File Downloading…”, “Successful”, “It Took X sec”)

Continuous loop for multiple downloads in one session

Graceful exit with “YES/NO” confirmation

Clean console output with current time display

Technical Stack

Language:** Python 3

Core Libraries:** `requests`, `datetime`, `time`, `sys`

Execution Style:** Simple interactive command-line loop (runs in terminal)

What I Learned / Challenges Overcome

Making reliable HTTP GET requests and handling response codes

Accurate performance timing with `perf_counter()` instead of basic `time`

Building a clean user flow with input validation and continuous loop

Writing beginner-friendly console messages and instructions

Keeping the entire script under 60 lines while still being functional and robust

⭐ Showcased because it demonstrates practical real-world utility, clean HTTP handling, user-friendly CLI design, and fast execution — a perfect example of “small tool, big usefulness” in pure Python.

GitHub

Coming soon

This Project is not yet public.

Coming Soon

This Project is not yet public.

Get In Touch

Reach me directly via:

jstarclintin@gmail.com

+2349162768835

About Me

Core Skills

Supporting Skills (Secondary)

Projects

Winly

Forex Smart Scanner

VicX AI – Telegram OpenAI Assistant

Metaload Lite – Fast URL File Downloader

Coming soon

Coming Soon

Get In Touch

VICTORY (ZAFAR)

About Me

Core Skills

Supporting Skills (Secondary)

Projects

Winly

Winly

🏆 Winly – MetaTrader 5 Trade History Analyzer

Overview

Key Highlights

Technical Implementation

What I Learned

Winly v2 updated

Key Highlights

Technical Implementation

What I Learned

Forex Smart Scanner

Python Quant Analyzer

Forex Smart Scanner – Real-Time Pair Selector & Smart Money Detector

Overview

Key Features

Technical Stack

What I Learned / Challenges Overcome

Future Roadmap Ideas

VicX AI – Telegram OpenAI Assistant

Flutter Trading Dashboard

VicX AI – Telegram OpenAI Assistant

Overview

Key Features

Technical Stack

What I Learned / Challenges Overcome

Future Roadmap Ideas

Metaload Lite – Fast URL File Downloader

Metaload Lite – Fast URL File Downloader

Metaload Lite – Fast URL File Downloader

Overview

Key Features

Technical Stack

What I Learned / Challenges Overcome

Coming soon

Coming Soon

Coming Soon

Coming Soon

Get In Touch