Innovative algo-trading tools to power your portfolio with sub-millisecond precision, emotionless logic, and institutional-grade infrastructure.
Every tool built to eliminate noise, enforce logic, and maximise execution quality at every scale.
Algorithmic precision eliminates human bias. Every trade executes on data-driven logic — removing fear, greed, and hesitation entirely from your strategy pipeline.
Validate strategies across 20+ years of market data in seconds. Stress-test algorithms with realistic slippage and commission models before risking any real capital.
Sub-millisecond order routing via co-located servers. Capture every market opportunity with 99.9% uptime infrastructure and zero single points of failure.
Automate stock market trades using proven data-science strategies that execute 24/5 without manual intervention.
Deploy dynamic multi-leg options setups with real-time hedging, Greeks tracking and volatility surface analysis.
Trade crypto 24/7 with adaptive bots that respond to market shifts, liquidations, and volatility spikes instantly.
ML models that forecast trends, optimise entries, and dynamically manage portfolio risk in real time.
Join thousands of traders who've removed emotion from their strategy.
Start free — no credit card required.
Quardzillion was founded on a single conviction: institutional-grade algorithmic infrastructure should be accessible to every serious trader — not just hedge funds and proprietary desks.
To democratise algorithmic trading by providing institutional-grade tools that anyone can deploy — without a quant PhD or a Bloomberg terminal subscription.
A world where every serious investor operates on logic — not emotion. Where precision engineering replaces gut instinct, and every position is backed by data, not fear.
We build infrastructure first, interfaces second. Every millisecond matters at execution time. Our co-located servers, direct market access, and Redis-backed architecture ensure zero compromise.
Over 12,000 active traders from 40+ countries trust Quardzillion to execute their strategies. From solo retail traders to multi-manager family offices — we scale with your ambition.
Be part of a growing community that trades on data, not emotion. Start free today.
From strategy conception to live execution — Quardzillion covers every layer of the algorithmic trading stack.
Drag-and-drop logic blocks let you build complex strategies without writing a single line of code. Export to Python or C++ with one click.
Test strategies against 20+ years of tick data with realistic slippage, commissions, and market impact models baked in.
Orders route through our co-located servers in Mumbai, Singapore, and London. Sub-millisecond latency to every major exchange.
Unified API connects to ICICI Breeze, Alpaca, Zerodha, Interactive Brokers, and 12+ more. One integration, every market.
ML models trained on decades of market data generate alpha signals — integrated directly into the strategy builder as nodes.
Real-time Level 2 data across equities, derivatives, and crypto. Normalised, deduplicated, and delivered at microsecond resolution.
No credit card required. Set up your first strategy in minutes.
Former prop traders, quant researchers, systems engineers, and product builders — united by one obsession: perfect execution.
Former Head of Algo Trading at ICICI Securities. Built and managed strategies with ₹2,000Cr+ notional value over 8 years in prop trading.
Systems architect with 10 years building low-latency trading infrastructure. MSc Computer Science from IIT Bombay. Open-source contributor.
PhD in Financial Mathematics from LSE. Previously at Jane Street and Citadel. Specialises in volatility arbitrage and statistical factor models.
Product leader with deep fintech roots — built trading products at Zerodha and Groww. Obsessed with removing friction from complex workflows.
10 years building real-time financial systems. Architected the broker abstraction layer and WebSocket infrastructure powering Quardzillion's core.
Growth strategist who scaled three fintech startups to Series B. Built the community from 0 to 12,000 traders through content and partnerships.
We're a small team building something significant. If you obsess over milliseconds and love markets, you'll fit right in.
We're always looking for extraordinary people. Send us a note and tell us what you'd build.
Real performance data from live strategies deployed on the Quardzillion platform. Updated monthly.
| Strategy | Asset Class | 30-Day Return | Sharpe | Max DD | Win Rate | Status |
|---|---|---|---|---|---|---|
| MomentumPulse v3 | Equity | +31.2% | 2.41 | −4.8% | 74% | Live |
| BTC Regime Switcher | Crypto | +28.7% | 2.18 | −7.2% | 68% | Live |
| Vol Arb NIFTY | Options | +22.1% | 3.02 | −2.1% | 81% | Live |
| Mean Reversion ETF | Equity | +18.9% | 1.94 | −5.4% | 72% | Live |
| Gold-USD Spreader | Commodities | +14.3% | 1.67 | −3.9% | 65% | Live |
| BANK NIFTY Scalper | Options | −2.4% | 0.82 | −9.1% | 53% | Paper |
A systematic momentum strategy on NIFTY 50 components, rebalanced weekly based on 20-day price momentum signals with volatility scaling.
Statistical arbitrage exploiting mean-reversion in the BTC/ETH spread, executed on Alpaca and Binance simultaneously with latency-matched orders.
Automated weekly Iron Condor strategy on BANKNIFTY, with dynamic adjustment of strikes based on implied volatility and open interest data.
Start with one of our proven strategy templates and customise for your risk profile.
Guides, deep-dives, and market analysis from the Quardzillion research team and community.
The biggest edge in modern markets isn't alpha — it's discipline. We break down the architecture of a fully automated system that eliminates every emotional failure point from strategy inception to live execution.
We tested 20+ indicators across 5 years of NSE tick data. Here's what survived.
How we process 400k+ ticks/second without dropping a single message.
Historical halving data reveals repeatable patterns. We quantify them.
When implied volatility is high, premium selling generates consistent edge.
We ran a 15-year backtest on classic factor portfolios across BSE 500.
The math behind sizing and why most traders get it catastrophically wrong.
Subscribe to our weekly research digest — sent every Monday morning before the markets open.