Backtesting
Custom Backtesting Engine
Historical data engines with realistic slippage, brokerage, and circuit breakers. Walk-forward optimization and Monte Carlo simulation.
Custom Algo Trading · Backtesting · Bot Development
Algo Trading Platform with Backtesting
From strategy backtesting to live multi-broker deployment — we engineer algorithmic trading solutions for cloud and personal devices. Python-powered, broker-agnostic, production-ready.
Expert-level quant development: custom backtesting engines, automated trading bots, options strategies, and real-time dashboards — deployed on your infrastructure or ours.
Backtest • Deploy • Monitor • Scale
Multi-Broker
Execution
All Indian brokers supported — parallel trading across any broker
Sub-Second
Latency
Optimized execution cycle with intelligent caching
6-Layer
Risk Mgmt
SL, target, trailing, time-based, force exit, breach detection
Backtest Results
● Live
+47.2% Annual Return
1.84 Sharpe Ratio
12.3% Max Drawdown
68% Win Rate
Strategy Pipeline
Backtest → Paper Trade → Live Deploy
Live Positions
NIFTY CE
NIFTY PE
BANKNIFTY
FINNIFTY
MIDCPNIFTY
HANGSEN
Services
Custom backtesting, algo development, automated trading, and ready-to-deploy trading products — all brokers supported.
Algo Dev
Custom Algo Development
Strategy research, quantitative design, and Python-based algo coding. Options Greeks, statistical arbitrage, ML signals — your edge, our code.
Automation
Automated Trading Bots
Production-grade bots with multi-broker support, sub-second execution, and 6-layer risk management. Deploy on cloud or your device.
Alerts
Trading Tips App
Actionable market insights with clean alerts, clear reasoning, and compliance-first design. Entry, targets, SL — delivered when they matter.
Calendar
Earnings Calendar
Never miss an earnings beat. Personalized calendars, alerts before key dates, and quick access to analysis — making earnings season manageable.
Risk
Investment Risk Check
Know your risk before it knows you. Portfolio analysis tools that quantify exposure, flag concentration, and guide healthier allocation.
What We Build
End-to-end algorithmic trading infrastructure — from strategy research to live deployment.
Custom Backtesting
Historical data engines with realistic slippage, brokerage, and circuit breakers.
- Tick-level and OHLC backtesting
- Walk-forward optimization
- Monte Carlo simulation
- Multi-asset portfolio backtest
Trading Bot Development
Production-grade bots with multi-broker support and real-time execution.
- Options strategies (straddle, strangle, iron condor)
- Multi-broker parallel execution
- Sub-second processing cycles
- 6-layer risk management system
Cloud & On-Premise
Deploy on your device or our cloud infrastructure — your choice.
- AWS, GCP, Azure deployment
- Raspberry Pi / local device setups
- Docker containerized bots
- 24/7 uptime monitoring
Strategy Research
We don't just code — we research, validate, and optimize your edge.
- Quantitative strategy design
- Statistical arbitrage patterns
- Options Greeks-based strategies
- Machine learning signal generation
Broker Integration
Connect to any Indian broker with our modular, broker-agnostic architecture.
- All Indian brokers supported
- Modular broker adapter framework
- Parallel execution across any brokers
- Switch brokers without rewriting code
Live Dashboards
Real-time P&L, position tracking, and strategy health — all in one view.
- WebSocket-powered live data
- Multi-broker consolidated P&L
- Strike-aware position tracking
- Mobile-responsive dashboards
How We Build
From strategy idea to live deployment — a tight loop with clear checkpoints.
01
Strategy Discovery
Map your trading logic, define entry/exit rules, risk parameters, and backtesting requirements.
02
Backtest & Validate
Build the engine, run historical tests, optimize parameters, and validate with walk-forward analysis.
03
Deploy & Monitor
Paper trade → live deploy with monitoring, alerts, and continuous strategy improvement cycles.
Why PistaQuant
Operator-first trading systems: measurable outcomes, clean execution, and maintainable code that scales.
Built for real markets
We focus on the critical parts: execution speed, risk management, accurate P&L calculation, and the system reliability that keeps your capital safe when things go wrong.
- Broker-agnostic architecture — switch brokers without rewriting code.
- Sub-second execution with 4-tier intelligent caching system.
- 6-layer exit strategy: SL, target, trailing, time-based, force exit, breach detection.
- Comprehensive logging and audit trails for every trade decision.
- Deploy on cloud (AWS/GCP) or personal device (Raspberry Pi to desktop).
Frequently Asked Questions
How to start algo trading in India?
Start by building a trading strategy, backtesting it with historical data, and deploying it on a paper trading account. PistaQuant's algo trading platform lets you build strategies without coding, test them against years of Indian market data, and go live with broker integration. Algo trading is legal in India through SEBI-registered brokers with algorithmic trading approval.
Is algo trading legal in India?
Yes, algo trading is legal in India. SEBI allows algorithmic trading through registered brokers who have obtained algo trading approval. PistaQuant integrates with SEBI-registered brokers and provides comprehensive audit trails for every trade decision, ensuring full regulatory compliance for your automated trading strategies.
What is the best algo trading platform for beginners in India?
PistaQuant offers a no-code algo trading platform with visual strategy builder, backtesting engine, and paper trading mode — ideal for beginners. You can test strategies risk-free with historical data before going live. The platform supports Indian stock markets, integrates with popular brokers, and provides risk management controls to protect your capital.
What is backtesting in algo trading?
Backtesting is running your trading strategy against historical market data to see how it would have performed. PistaQuant's backtesting engine lets you test strategies on years of Indian market data with realistic slippage and brokerage costs. This helps you validate your strategy before risking real capital — essential for any serious algo trader in India.