Building a prompt-to-strategy trading engine for Indian markets (Now free to test live)
Hey Indie Hackers! 👋
Most traders and working professionals have great market ideas, but two things hold them back:
The coding barrier: Translating complex multi-leg options logic into Python code is tedious.
Emotional indiscipline: Execution fear, manual delay, and hesitation often ruin a well-planned trade.
To solve this, I’ve been building Algoraider (algoraider.online) - a conversational quantitative platform designed to bridge Generative AI with low-latency algorithmic trading infrastructure.
🛠️ What the Platform Does:
• Prompt-to-Strategy AI Compiler: Type your strategy in conversational English (e.g. "Deploy an Iron Condor when IV is high with automated 30% stop-loss"), and the engine compiles it into deterministic, multi-leg execution rules in milliseconds.
• Real-Time Greeks & Payoff Visualizer: Computes streaming Delta, Theta, POP (Probability of Profit), and dynamic P&L curves with sub-100ms pipeline latency as underlying spot prices move.
• Tick-Level Historical Backtester: Test multi-leg strategies against granular historical data with slippage and drawdown modeling.
• 100% BYOK Zero-Trust Security: Completely non-custodial. We never touch or hold user capital. All broker API keys are encrypted client-side using hardware-grade AES-256 GCM.
• Multi-Broker Routing: Standardized execution across leading Indian brokers (Dhan, Zerodha, Angel One, 5Paisa, Fyers, Shoonya).
🎁 Free Tier is Now Live:
If you trade Indian markets or want to test conversational quant engineering, you can sign up for the free tier:
1 Live Broker Strategy: Deploy 1 active automated strategy directly to your live broker.
1 AI Strategy Compilation: Generate a complete multi-leg rule set from plain English prompts.
Unlimited Paper Trading: Formulate, backtest, and simulate strategies in virtual sandbox mode risk-free.
The platform is live at: algoraider.online
Tutorials & Demos: Search for @Algotheta_ai on YouTube.
I would love to hear feedback from fellow founders. Drop your thoughts below -happy to answer any technical questions about our tech stack
