Devendra S.

$100K+ in algo trading infrastructure projects since 2017. I specialize in risk management, execution stability, and compliance for live algorithmic trading systems. I don’t sell trading strategies. I make sure algo systems survive real markets - equities, options, futures, crypto, and forex - by accounting for slippage, margin rules, broker RMS checks, order-rate limits, API failures, and prop firm trading constraints. Clients typically come to me after: - ChatGPT / AI strategies fail live - Orders are rejected, delayed, or misfired - Backtest PnL doesn’t match real execution - Risk controls or kill switches are missing I work on production-grade trading infrastructure, including: - Execution architecture (REST / FIX / WebSocket) - Order and portfolio management systems - Broker-specific RMS, margin, and compliance logic - Drawdown controls, kill switches, and capital protection Markets: Indian equities, futures and options (NIFTY, BANKNIFTY, FINNIFTY, stock options), US markets (SPY, QQQ options), crypto (CEX and DEX), forex (including prop firm environments) and prediction markets (Polymarket, Kalshi). Brokers / Platforms: Zerodha (Kite Connect), Upstox, AngelOne, Fyers, ICICI Direct, Kotak Neo, Dhan, Shoonya, 5paisa, Sharekhan, Nuvama, Alice Blue, Jainam, XTS, Global Data Feeds (GDFL), Interactive Brokers (IBKR TWS), Charles Schwab, Tradestation, Tradier, ETrade, Binance, KuCoin, Capital com, UniSwap, PancakeSwap, Solana, Ethereum, Avalanche, MetaMask, TT (Trading Technologies), MT5, Tradovate. If your algo works in backtests but fails in live markets, I can identify where risk leaks and fix them before capital is lost.