Industry-Level Projects for Final Year Students | B.Tech | M.Tech | MBA | MCA
✔ 20 Hours Training | ✔ Demo Video | ✔ Data Analysis Reports
✔ Dashboards Included | ✔ User Authentication | ✔ Institutional Architecture
Customized Project Plans Available
Limited Slots Available
Each final year academic project is designed around real-world algorithmic trading systems and machine learning implementations. These projects combine trading strategy development, Python-based analytics, risk management frameworks, dashboards, and performance evaluation modules.
Students gain exposure to quantitative research methodologies, financial data analysis, algorithmic system design, and machine learning validation used in modern fintech platforms.
Students will also actively participate in enhancing the project by implementing advanced trading filters such as Moving Average range filters, EMA filters, Supertrend filters, and multi-timeframe confirmation filters, enabling deeper understanding of strategy optimization and real-world trading conditions.
To ensure students fully understand the project implementation, Mahesys provides structured academic support.
We offer customized academic projects based on your requirements.
✔ Flexible Options
✔ Tailored Projects
✔ Contact for Details
Technical Rating System
Momentum Acceleration Strategy
Parabolic SAR Strategy
Supertrend Strategy
Renko Trading (Python)
True Renko System
Bollinger Bands Strategy
Heiken Ashi Parallel Channel
MACD Regime Strategy
RSI Regime Strategy
SMA Regime Strategy
SMA Breakout Strategy
VWAP Regime Strategy
Range Filter Strategy
Heiken Ashi Strategy
Advanced RSI Regime
Bollinger Mean Reversion
Is this for final year?
Yes.
Do you support viva?
Yes.
Can I customize?
Yes.
Get a customized academic project tailored to your goals. Contact us now to get started.