🚀 MT5 Trade Risk Calculator for Sale – Only $25 Are you a forex trader who wants to manage risk ...

🚀 MT5 Trade Risk Calculator for Sale – Only $25 Are you a forex trader who wants to manage risk ...🚀 MT5 Trade Risk Calculator for Sale – Only $25 Are you a forex trader who wants to manage risk ...

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SHA'AIBU AUWAL

• Jul 19

🚀 MT5 Trade Risk Calculator for Sale – Only $25

Are you a forex trader who wants to manage risk professionally?

I've built a simple and easy-to-use MT5 Trade Risk Calculator that helps you calculate the correct lot size based on your account balance, risk percentage, and stop-loss.

✅ Fast calculations ✅ Clean, mobile-friendly interface ✅ Saves time ✅ Helps improve risk management

🎯 Live Demo: https://trade-risk-calc--shuaybauwalshua.replit.app

💲 Price: $25 (Negotiable)

If you're interested, send me a direct message or leave a comment below.

Python

Yurii Oleskiv

pro

• Jul 16

My first Verified Project on Contra

Check it out

Figma Google Gemini Jitter

omowunmi ayobami

• Jul 15

FTMO $200K Challenge Passed | Prop Firm EA Recovery

Description

The client came to me with an FTMO $200K Challenge account that was already 9% into drawdown. I adjusted and optimized the trading bot to better manage risk and improve execution. The account recovered and successfully passed Phase 1.

What I did:

Optimized the Expert Advisor

Improved risk management

Fine-tuned trade entries and exits

Reduced unnecessary trades

Made the EA more stable for prop firm rules

If you need help building, fixing, or optimizing an MT4/MT5 EA for prop firms like FTMO, feel free to get in touch.

Financial Analysis TradingView

Advik Rathee

• Jul 14

Built this one for an e-commerce customer behavior project - 18,000+ customers, segmented using RFM (Recency, Frequency, Monetary) analysis.

The interesting part wasn't the segmentation itself, it was what it revealed: nearly 22% of customers were "at risk" of churning, and most businesses wouldn't know that until those customers had already stopped buying.

This is the kind of insight that's usually sitting in your order data already, it just needs the right lens. Happy to take a look at your numbers if you're curious what's hiding in yours.

Tools used: Power BI, SQL, Python (Pandas, Scikit-learn for clustering)