From plain Englishto a live algo.
Build, backtest and deploy institutional-grade trading strategies — without writing code. Describe it in a sentence; the AI builds it and backtests it on years of real NSE data in seconds.
A registered Indian company, built in the open
Sentence in. Strategy out.
One workflow from idea to execution: describe, backtest, research, deploy.
Describe it in English. AI builds it.
Type a strategy the way you would explain it to a colleague — including multi-leg options structures like straddles, iron condors and calendars. The AI drafts the exact rules; you review, refine and approve. It never trades on its own.
"Short straddle on BANKNIFTY at 9:20, exit at 30% profit or 3:15 PM"
Backtest instantly on real NSE data.
Years of real NSE data — stocks, indices, and options with full Greeks. The Rust engine finishes a backtest in seconds, and every paid plan includes unlimited backtests. Iterate as many times as it takes.
Research mode. Ask the market anything.
Quantitative questions get computed answers from the engine and real market data — not from AI memory. Query any of the 420+ conditions and indicators on any symbol, over any period.
"Average expiry-day range on BANKNIFTY in 2024?"
→ Computed from the engine
"When did NIFTY close above its 200 DMA with RSI > 60?"
→ Every instance, listed
Live deployment — coming after the Research Preview.
The Research Preview is research & backtesting — live trading is not offered in this preview. When live deployment opens (first for proprietary desks via Symphony XTS), every order will require your explicit confirmation — the AI never places trades on its own.
# iron_condor.py — week 3 of writing it yourself
import pandas as pd
def build_condor(chain, spot, dte):
# ...find strikes, price the legs,
# compute the Greeks, model the margin,
# handle expiry-day edge cases...
# 400 lines later, still no backtest.
raise NotImplementedErrorWriting it yourself
Zarvix AI
"Sell an iron condor on BANKNIFTY, 200 points wide, exit at 50% of max profit."
Built and backtested in seconds. No code. Options-native, with full Greeks — made for Indian markets.
Built like institutional software
A Rust backtest engine, an AI that only works from real data, and infrastructure on Microsoft Azure in India.
An AI that builds strategies, not stories
Describe a strategy conversationally — including multi-leg options structures like straddles, iron condors and calendar spreads — and the AI translates it into precise, executable rules. Every number it shows you comes from the engine and real market data, never from AI memory.
Conversational strategy building
Options-native
Grounded answers
You stay in control
A backtest engine written in Rust
Backtests run on years of real NSE data — stocks, indices, and options with full Greeks — and complete in seconds. Every paid plan includes unlimited backtests, so iteration is never rationed.
Seconds, not minutes
420+ trading conditions
Full options Greeks
Unlimited backtests
Hosted on Microsoft Azure, in India
Zarvix runs in Azure's Central India region — your data stays in India, close to NSE and BSE. The platform scales automatically with demand, and Zarvix AI is backed by Microsoft for Startups.
Command Your
Strategy Engine
No code required. Describe what you want in plain language — the AI builds the strategy, the engine backtests it on real NSE data in seconds, and you refine it in conversation. Live trading is not offered in this Research Preview — and the AI never auto-trades.
See every trade, not just a summary
Every backtest produces a full report — equity curve, drawdown, a trade-by-trade log, and Greeks at entry and exit.
Research mode — ask the market anything quantitative
Ask in plain English. The engine computes the answer from years of real NSE market data — it does not come from the AI's memory, so the numbers are real, checkable, and current to the dataset.
Market behaviour
"How did IT stocks move in the week after each RBI policy day over the last 5 years?"
Technical research
"Show me every time NIFTY crossed its 200 EMA from below with RSI above 50"
Volatility research
"What was the average Garman-Klass volatility for BANKNIFTY on expiry days in 2024?"
Options research
"Compare ATM straddle premiums on Mondays vs Thursdays for NIFTY"
Engine-computed, not AI-recalled
Every answer is calculated from the dataset at query time — nothing is made up