Forex Strategy Assistant — Interactive Streamlit App

Forex Strategy Assistant — Interactive Streamlit App

A full-featured, deployed web application for forex trade planning, strategy documentation, and performance tracking. 

The Business Problem

Most retail traders fail not because of bad strategies, but because of inconsistent execution — jumping between tools, skipping pre-trade checklists, and failing to log results. Without a structured workflow, even a sound strategy breaks down under real market pressure.

This app solves that by consolidating the entire pre-trade and post-trade workflow into a single, interactive dashboard — built with Streamlit and deployed to the cloud.

What the App Does

•  Strategy Planning: Define and preview trade setups using RSI, EMA crossover signals, support/resistance tagging, ATR volatility assessment, and risk-to-reward visualization

•  SL/TP Calculator: Instantly compute stop-loss and take-profit levels based on live ATR and custom risk parameters

•  Trade Logger: Record every trade with outcome, custom tags, and notes — filterable for performance review

•  Price Alert Configuration: Set RSI/EMA crossover alerts and key price-level notifications

•  Multi-channel Notifications: Receive alerts via Email (Yagmail) or Telegram Bot

•  Economic Calendar: Integrated TradingView calendar for high-impact news events

The Impact

✅  Eliminates tool-switching — strategy, calculation, logging, and alerts in one place

✅  Enforces trading discipline through structured pre-trade checklists

✅  Builds a searchable trade history for data-driven strategy improvement

✅  Deployed live on Streamlit Cloud — accessible anywhere, by anyone

✅  Demonstrates full-stack analyst capability: data + UI + deployment

Tools & Technologies

• Python

• Streamlit

• Plotly

• Yagmail

• Telegram API

• TradingView

Why This Project Matters for Employers

Building and deploying an app is a different skill set from running a Jupyter notebook. This project shows I can take an analytical idea all the way through to a working product that real users can interact with — a critical capability for any Data Analyst working in a business environment where insights need to be communicated, not just computed.

Key Skills Demonstrated

•      Web application development and deployment (Streamlit Cloud)

•      Financial domain knowledge — technical indicators, risk management, trade execution logic

•      UX thinking: designing tools that non-technical users can actually use

•      Notification system integration (Email + Telegram)

•      Real-world problem framing: identified a trader pain point and built a targeted solution

Suggested Next Steps 

•  Connect to live broker APIs (e.g., OANDA, MetaTrader) for one-click trade execution

• Add ML-based signal confidence scoring using historical backtest data

•  Expand to include crypto pairs alongside forex