High-Return Tradetron Stock Algo
Budget: ₹1,500 – ₹12,500 INR
I want a complete Tradetron strategy that focuses on swing trading listed equities with the single objective of squeezing out the highest possible returns. The final build must live inside my Tradetron account, ready to go live once it passes acceptance.
Here is what I need from you:
• Strategy logic coded directly on Tradetron, including precise entry and exit conditions suitable for multi-day holds.
• Robust risk-management rules (position sizing, max open trades, dynamic stop-loss / trailing exits) that support the return-maximisation goal without crippling performance.
• Back-tests covering at least the past three years of Indian cash-market data, with full reports exported from Tradetron.
• A short hand-over session (Zoom or Loom recording is fine) walking me through each block of the conditions, so I can tweak thresholds later.
Acceptance criteria
• Back-test shows a CAGR comfortably above the benchmark Nifty and a maximum drawdown that stays tolerable for an aggressive-growth profile.
• No repainting indicators; results must be reproducible when I rerun the test myself.
• Code and settings are transferred into my account and compile without errors.
If you have prior Tradetron or similar no-code algo experience, share one or two live IDs or screenshots so I can gauge style. Let’s build something that outperforms the index and is deployment-ready without any further debugging.
Here is what I need from you:
• Strategy logic coded directly on Tradetron, including precise entry and exit conditions suitable for multi-day holds.
• Robust risk-management rules (position sizing, max open trades, dynamic stop-loss / trailing exits) that support the return-maximisation goal without crippling performance.
• Back-tests covering at least the past three years of Indian cash-market data, with full reports exported from Tradetron.
• A short hand-over session (Zoom or Loom recording is fine) walking me through each block of the conditions, so I can tweak thresholds later.
Acceptance criteria
• Back-test shows a CAGR comfortably above the benchmark Nifty and a maximum drawdown that stays tolerable for an aggressive-growth profile.
• No repainting indicators; results must be reproducible when I rerun the test myself.
• Code and settings are transferred into my account and compile without errors.
If you have prior Tradetron or similar no-code algo experience, share one or two live IDs or screenshots so I can gauge style. Let’s build something that outperforms the index and is deployment-ready without any further debugging.