From backtesting engine to live broker-integrated auto-execution — we design, build, and deploy complete algorithmic trading infrastructure. Our team built AlphaSync™ from the ground up and brings that same expertise to your custom trading platform.
Building an algorithmic trading system is not a software problem — it is a financial engineering problem that happens to require software. Strategy logic, position sizing, risk containment, execution timing, slippage modelling, and broker API quirks all interact in ways that pure software developers cannot anticipate. At Vianmax, our team has built and operated AlphaSync™ — a live trading platform processing thousands of strategy executions daily — so we bring production-grade trading infrastructure knowledge to every client engagement.
We cover the full trading system stack: quantitative strategy research and backtesting with realistic slippage and commission modelling, paper trading environments for forward testing, live execution engines integrated with Zerodha Kite, Upstox, Angel One, Fyers, and ICICI Direct APIs, multi-leg option strategy management, real-time P&L dashboards, and automated risk management with circuit-breaker logic for drawdown limits, position concentration, and volatility spikes.
Whether you're a proprietary trading desk needing custom infrastructure, a SEBI-registered RA seeking a client-facing algo deployment platform, or a fintech startup building the next AlphaSync™ — our team understands the regulatory environment, broker API limitations, and production reliability requirements that this domain demands. We build for the real market, not the demo environment.
Event-driven backtesting framework with tick-level or OHLCV data, realistic commission and slippage modelling, multi-symbol portfolio-level testing, and comprehensive metrics: CAGR, Sharpe, Sortino, max drawdown, Calmar ratio.
Validate strategies on 10+ years of historical dataBroker-integrated execution layer with sub-50ms order placement, bracket and cover order management, multi-legged option strategy execution, partial fill handling, and automatic order retry with configurable tolerance.
Precision execution with latency monitoringNative integration with Zerodha Kite Connect, Upstox API v2, Angel One SmartAPI, Fyers API, and ICICI Direct Breeze — including WebSocket live data feeds, order status streaming, and position management.
Multi-broker support with unified interfaceReal-time position monitoring with configurable circuit breakers: daily loss limits, per-trade stop-loss enforcement, concentration limits by symbol/sector, volatility-triggered pauses, and automated flat-all-positions failsafe.
Capital protection built into execution layerReal-time portfolio dashboard showing open positions, strategy-level P&L, drawdown curves, fill quality analytics, and intraday performance attribution — accessible on web and mobile simultaneously.
Complete operational visibility during market hoursWhite-label algo platform for SEBI-registered Research Analysts — client subscription management, strategy publishing, copy-trading infrastructure, and SEBI-compliant audit logs with one-click regulatory report generation.
Scale from personal algo desk to client-facing RA platformWe treat algo development as a continuous research-build-validate cycle, not a one-time delivery. Your system evolves as market conditions change.
We map your strategy logic, instrument universe, timeframes, risk parameters, and regulatory constraints. We identify broker API limitations that affect execution and define the technical architecture before any code is written.
Build the event-driven backtesting engine, ingest historical data (NSE tick data / OHLCV), implement your strategy logic, and run exhaustive scenario analysis including out-of-sample testing and walk-forward optimisation.
Deploy to a paper trading environment with live market data and simulated order execution for a minimum of 20 trading sessions. We track slippage differential between backtest assumptions and real-market conditions.
Phased live deployment starting with 10–20% of intended capital, real-time comparison of live performance against backtest expectations, and circuit breaker calibration based on observed market behaviour.
Full capital deployment, ongoing performance monitoring with monthly attribution analysis, strategy parameter optimisation, and rapid deployment of new strategy variants as market regimes shift.
Individual algo traders and HNI investors who need a custom system beyond what retail platforms offer — with their own strategy logic, risk rules, and no sharing of alpha with public platforms.
RAs who publish algo strategies to clients need a compliant, white-label platform for strategy deployment, subscription management, client copy-trading, and SEBI audit trail generation.
Firms running multiple strategies across multiple traders need centralised infrastructure: strategy version control, per-trader allocation limits, consolidated P&L, and unified risk management across the desk.
Trading education institutions that offer algo trading courses need paper trading environments where students can deploy, test, and compare strategies in real-market conditions without capital risk.
Startups building retail algo trading products, copy-trading platforms, or strategy marketplaces need battle-tested core infrastructure to build on rather than learning expensive lessons building from scratch.
Traders needed a single platform to research strategies, backtest on NSE/BSE historical data, paper trade, and deploy live across multiple brokers — with real-time P&L, risk controls, and mobile access.
End-to-end platform built by Vianmax: Python backtesting engine with QuantStats reporting, WebSocket-driven live execution layer, React dashboard with TradingView charting, Flutter mobile app, multi-broker API integration (Zerodha, Upstox, Angel One), and automated Telegram alerts.
📈 Thousands of active traders. Sub-50ms execution latency. 99.7% uptime during market hours.
A Chennai-based prop trading desk was manually managing 6+ simultaneous options strategies across two brokers, with no unified risk view and no automated stop-loss enforcement across positions.
Custom Python execution engine with multi-broker order routing, a unified position aggregation layer, real-time Greeks monitoring for the options book, automated delta-hedging triggers, and a Grafana-based risk dashboard visible to all desk traders simultaneously.
🛡️ Eliminated manual risk monitoring. Drawdown breach response time reduced from minutes to milliseconds.
We don't just deliver code and walk away. We live in the same infrastructure we build for clients — which is why every system we deliver is production-hardened.
We built AlphaSync™ from day one and operate it in live production — giving us practical knowledge of broker API edge cases, NSE/BSE data anomalies, and execution challenges that no textbook covers.
Capital protection is non-negotiable. Every system we build has multi-layer risk management: pre-trade checks, real-time position monitoring, and automated failsafes — not optional add-ons.
We understand the regulatory requirements for algorithmic trading in India, including SEBI circulars on algo trading for clients and the audit trail requirements for SEBI-registered RAs.
Our broker API experience spans Zerodha, Upstox, Angel One, Fyers, and ICICI Direct — including the undocumented edge cases and rate limits that only become apparent after months of live operation.
Our collaboration with Axis Securities for algo trading education means we stay current with the regulatory landscape and industry best practices as they evolve.
We offer uptime SLAs specifically calibrated to Indian market hours — 9:15 AM to 3:30 PM IST — with dedicated monitoring and on-call support during trading sessions.
In most cases, yes. If your broker provides any form of API access — even basic REST APIs without WebSocket support — we can build around it. For brokers with very limited APIs, we use alternative data delivery mechanisms and work within the constraints of their order management system. We'll do a technical feasibility assessment on your broker's API documentation as part of the discovery phase before committing to a timeline.
No backtest predicts future performance — any developer who says otherwise is misleading you. However, a well-constructed backtest with realistic slippage, commissions, market impact modelling, and out-of-sample testing significantly reduces the risk of deploying strategies with fundamental flaws. We build backtests that model execution reality as closely as possible and run walk-forward validation to minimise overfitting. The paper trading phase is equally important — it's your real forward test before live capital is at risk.
Algorithmic trading using broker-provided APIs (like Zerodha Kite Connect) is fully legal for retail traders in India. SEBI regulates algo trading and requires brokers to have systems for monitoring client algos, but individual traders using their broker's API for automation are operating within the permitted framework. For SEBI-registered Research Analysts deploying strategies for clients, additional regulatory requirements apply, and we design our RA platforms to comply with these. We strongly recommend consulting a SEBI compliance professional for your specific use case.
This depends entirely on your strategy type. For intraday equity strategies, meaningful testing is possible with ₹5–10 lakhs. For F&O strategies with proper lot sizing and multiple strikes, ₹20–50 lakhs is typically the minimum for statistical validity. For delta-neutral options strategies with hedges, capital requirements are higher. We discuss capital requirements as part of the strategy architecture phase and will honestly tell you if a strategy requires more capital than you have available to be operated responsibly.
We build the system infrastructure; strategy intellectual property remains yours. Most clients bring their own strategy logic (or work with a quant analyst to develop one) and engage us to build the technical infrastructure around it. We can assist with strategy research and quantitative analysis as an add-on engagement, but we treat strategy IP with strict confidentiality — your alpha stays yours. If you need strategy development alongside platform development, we scope this as a separate research engagement with appropriate IP agreements in place.
From a single strategy auto-executor to a full multi-user RA platform — we've built every layer of the stack in production. Let's talk about what your system needs.
Vianmax Techno Ventures Pvt. Ltd.
Anna Nagar, Chennai – 600040, India
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