Our research introduces a hybrid deep learning model combining Long Short-Term Memory (LSTM) networks with Proximal Policy Optimization (PPO) reinforcement learning to classify and optimize intraday option trading signals in the Indian stock market.
The model generates trade signals (Buy CE, Buy PE, No Trade) using 5-minute technical indicators such as EMA, RSI, MACD, Bollinger Bands, and ADX, achieving over 97% validation accuracy using attention-based LSTM and confidence-based filters.
Our system is not just another signal tool — it's a smart decision-making engine. Designed for real-world intraday trading, our AI continuously learns, adapts, and evolves using actual price outcomes. This means every decision is supported by live market feedback, confidence scoring, and intelligent trade filtering.
21WallSt is designed for seamless execution. Once the system detects a high-confidence signal on NIFTY or BANKNIFTY, it can execute trades automatically based on your configured capital, risk, and strategy preferences. You stay in control — while the system does the heavy lifting in real-time.
Uses LSTM models trained on 5 years of NIFTY data to capture trends and signals with precision.
PPO agent refines trade decisions based on real P&L feedback, not just label accuracy.
Generate Buy CE / Buy PE / No Trade decisions with confidence-based filtering and smart gating.