Turn your trading idea
into an algorithm .
Watch the 2-minute demo
01
Create strategy with AI
~2 min
02
Backtest it
~30 sec
03
Paper trade
2–4 weeks
04
Deploy live
Ongoing
- Backtests run
- 0+ Backtests run
- Strategies built
- 0+ Strategies built
- Active traders
- 0+ Active traders
- Broker integrations
- 0 Broker integrations
The platform
Everything between a trading idea and a live position.
Most traders stitch this together from a spreadsheet, a Python script and a broker terminal. BhavAI is the whole path in one place.
Two ways to write a strategy. Neither needs code.
Type your idea in plain English and the AI writes the rules. Or lay them out yourself on the visual canvas. Both produce the same inspectable logic — entries, filters, exits, sizing — and you can move between them freely.
- AI strategy builder
- Describe it in a sentence; get editable rules back in seconds.
- Visual builder
- 100+ indicators, AND/OR branching, time and expiry filters.
- Always transparent
- Every generated rule is visible. Nothing runs that you cannot read.
Buy NIFTY futures when the 20 EMA crosses above the 50 EMA and RSI is under 70. Exit at 3% or a 1.5% stop. Only between 9:30 and 2:45.
Entry
EMA 20 × 50 ↑
Filter
RSI(14) < 70
Target
3.0%
Stop
1.5%
Drawdown
- Net profit
- ₹22,80,000
- CAGR
- 18.5%
- Sharpe ratio
- 1.84
- Sortino ratio
- 2.41
- Max drawdown
- -14.1%
- Win rate
- 64.2%
- Profit factor
- 2.31
- Expectancy
- ₹5,455
- 5th percentile
- ₹17.2L
- Median outcome
- ₹34.2L
- 95th percentile
- ₹51.2L
- Backtested drawdown
- -14.1%
- Worst simulated drawdown
- -14.3%
Test it against seven years of NSE history.
Brokerage, STT, exchange charges, GST, stamp duty and slippage are modelled in — because a strategy that is profitable before Indian transaction costs often is not after. You get the full report, not a single return number.
- Complete metrics
- Sharpe, Sortino, drawdown, win rate, profit factor, expectancy, CAGR.
- Trade-level audit
- Every fill logged with its entry reason and exit trigger.
- Benchmarked
- Compared against NIFTY 50 buy-and-hold over the same period.
Then check it isn't a fluke
Walk-forward analysis re-optimises on rolling windows and validates on unseen data. Monte Carlo reshuffles your trades across a thousand alternate histories to show how deep drawdowns could realistically go.
Paper trade it. Then go live in one click.
Paper trading runs on live NSE prices through the same execution engine as live deployment, so results carry over. When you are ready, connect your broker — your capital never leaves your own account.
- Same engine, no surprises
- Paper and live share execution logic, fills and risk checks.
- Hard risk limits
- Max daily loss, position caps and auto square-off run server-side.
- Full visibility
- Orders, positions, P&L and risk usage across every strategy.
| Instrument | Qty | Avg | LTP | P&L |
|---|---|---|---|---|
| NIFTY 28AUG FUT LONG | 150 | 24,812.40 | 24,948.75 | +20,452 |
| RELIANCE LONG | 260 | 1,412.60 | 1,431.05 | +4,797 |
| BANKNIFTY 57000 CE SHORT | 105 | 318.75 | 341.20 | −2,357 |
| HDFCBANK LONG | 180 | 1,684.20 | 1,698.90 | +2,646 |
| INFY SHORT | 400 | 1,556.00 | 1,548.35 | +3,060 |
Day P&L
+₹28,598
Exposure
₹8.4L
Risk used
38%
- 09:21:04 Momentum Rider — BUY 150 NIFTY FUT @ 24,812.40
- 11:47:32 Trailing stop moved to 24,890.00
- 13:02:18 Mean Reversion — SHORT 400 INFY @ 1,556.00
- 14:38:55 Risk check passed — 38% of daily limit used
Brokers
Connect the broker you already trade with.
Every integration uses the broker's own official API. BhavAI never asks for your broker password, and your funds stay in your account — we only route orders you authorised.
- API credentials encrypted with AES-256
- Revoke access from your broker at any time
- Order-level audit trail for every fill
- Live
Zerodha Kite
India's largest broker. Connect Kite Connect API in two clicks.
- Live
Fyers
Full F&O + equity API coverage with blazing-fast order routing.
- Live
Dhan
Modern DhanHQ API with free API access for traders.
- Live
Angel One
SmartAPI integration for equity, futures and options.
- Live
Upstox
Upstox v2 API with real-time positions and PnL sync.
- Live
Alice Blue
ANT API integration for low-brokerage algo execution.
- Live
Shoonya
Zero-brokerage trading by Finvasia with full API support.
- Soon
More coming soon
ICICI Direct, Kotak Neo, 5paisa and more are on the roadmap.
Markets
Every NSE segment, every holding period.
Run an intraday BANKNIFTY options strategy and a positional equity system side by side, from the same dashboard.
NSE Equity
Trade 2,000+ NSE-listed stocks with intraday and delivery strategies.
Futures
Index and stock futures with lot-size aware position sizing.
Options
NIFTY, BANKNIFTY and stock options with strike selection logic.
Indices
NIFTY 50, Bank NIFTY, FINNIFTY and sectoral index strategies.
Intraday
Minute-level strategies with automatic square-off before close.
Swing
Multi-day strategies on daily and hourly timeframes.
Positional
Long-horizon systems with weekly rebalancing and trend filters.
Multi-leg & combined
Straddles, strangles and hedged positions with lot-size aware sizing.
Comparison
How this compares to the alternatives.
Including the honest cases where another approach wins — a managed traditional platform also spares you server maintenance, and manual trading needs no setup at all.
| Capability | BhavAI | Coding it yourself | Traditional platforms | Excel | Manual trading |
|---|---|---|---|---|---|
| Strategy creation | AI + visual, minutes | Weeks of Python | Rigid form builders | Formulas only | Gut feel |
| Coding required | None | Advanced | Some scripting | Macros / VBA | None |
| NSE backtesting with Indian costs | Built in | Build it yourself | Often EOD only | Error-prone | Not possible |
| Monte Carlo & walk-forward | One click | Complex to implement | Rarely offered | Not practical | Not possible |
| Paper trading on live data | Unlimited | Build it yourself | Sometimes | Not possible | Not possible |
| Live broker deployment | 7 brokers, one click | Per-broker API work | Usually 1–2 brokers | Not possible | Manual orders |
| Servers & maintenance | None — fully managed | Yours to run | Managed | Not applicable | Not applicable |
| Time to first live strategy | Under an hour | Weeks to months | Days | Never — analysis only | Instant but unmanaged |
How it works
The path from idea to live capital.
We deliberately put three validation steps between your idea and real money. Skipping them is the most common way retail algos lose capital.
- 1 ~2 min
Describe it, or draw it
Write the idea in a sentence and let the AI produce the rules, or lay them out on the visual canvas yourself.
- 2 ~30 sec
Backtest on NSE history
Seven years of data with Indian transaction costs and slippage applied. Read the drawdown before the returns.
- 3 ~5 min
Optimise, then validate
Sweep parameters, then confirm with walk-forward analysis and Monte Carlo so you are not just fitting the past.
- 4 2–4 weeks
Paper trade on live prices
Same engine as live deployment, virtual capital. Give it a few weeks across different market conditions.
- 5 Ongoing
Deploy and monitor
Connect your broker, set hard risk limits, go live with small size. Watch orders, P&L and risk in real time.
Customers
Traders who stopped guessing.
1,200+ active traders across India
-
I traded manually for six years and always over-managed my positions. My first BhavAI strategy took ten minutes to build and now executes with a discipline I never had.
Rohit S. · Options trader, Mumbai
-
I am a software engineer and I tried building this myself, twice. Between broker API quirks, token refresh and server maintenance I spent more time debugging than trading.
Ananya K. · Quant hobbyist, Bengaluru
-
Walk-forward analysis killed two of my "amazing" backtests before they killed my capital. Worth the subscription for that alone.
Vikram M. · Swing trader, Delhi NCR
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The platform shows slippage, costs and drawdowns up front instead of hiding them. My live results actually track my paper results.
Sneha D. · Intraday trader, Ahmedabad
-
I run a small trading community. Members test shared strategies on paper without risking money, and the ones who go live use the built-in kill switches.
Priya R. · Community founder, Pune
-
My Zerodha backtests used to live in a mess of spreadsheets. Now it is one place: type the idea, test it on ten years of data, deploy to Kite.
Arjun T. · Retail investor, Hyderabad
Pricing
Start free. Pay when you deploy.
Prices include GST. Broker API charges, where your broker levies them, are billed by the broker and not by BhavAI.
Starter
₹0 free forever
Learn the workflow and validate your first ideas.
Start free- 5 AI strategy generations / month
- Visual strategy builder
- 3 years of NSE backtest data
- Core performance metrics
- 1 paper trading strategy
Trader
Most popular₹999 / month
Everything needed to go from backtest to live orders.
Start 7-day trial- Unlimited AI generations
- Full NSE history + Indian cost model
- Parameter optimisation
- Monte Carlo simulation
- 5 paper trading strategies
- Live deployment · 1 broker · 3 strategies
- Telegram and email alerts
Pro
₹2,499 / month
For traders running a portfolio of live systems.
Start 7-day trial- Everything in Trader
- Walk-forward analysis
- Unlimited paper strategies
- All brokers · unlimited live strategies
- Portfolio risk and correlation view
- API access and webhooks
Trust
Your capital, your broker, your control.
Security is not a pricing tier. Every account — including the free plan — gets the same protections.
- Encryption
- TLS on every request; broker API credentials sealed with AES-256 at rest.
- No password storage
- BhavAI never sees your broker password. Access is API-key based and revocable.
- Funds stay put
- We route orders only. Your capital never leaves your own broker account.
- Server-side kill switches
- Daily loss caps, position limits and auto square-off fire even if your connection drops.
- Audit trail
- Every order records what fired it, when, and at what price.
- Built to Indian rules
- NSE market hours, Indian cost structures and SEBI’s retail algo framework from day one.
FAQ
Questions traders ask first.
What is BhavAI?
BhavAI is an AI-powered algorithmic trading platform for the Indian stock market. It lets you build trading strategies using AI or a visual drag-and-drop builder, backtest them on years of NSE historical data, optimize them, run Monte Carlo risk analysis, paper trade in real time and deploy them to live brokers like Zerodha, Fyers, Dhan, Angel One and Upstox — all without writing code.
Do I need to know coding to use BhavAI?
No. You can describe a strategy in plain English — for example, "Create a momentum strategy using EMA and RSI" — and BhavAI generates the complete rules for you. You can also build strategies visually by connecting blocks. Every generated rule remains visible and editable, so you always understand exactly what your strategy does.
Is algo trading legal in India?
Yes. Retail investors can legally automate trading strategies through official broker APIs. SEBI regulates algorithmic trading in India, and its framework requires retail algos to operate through SEBI-registered brokers with appropriate risk controls. BhavAI works exclusively through official broker APIs from registered brokers, in line with this framework.
Which brokers does BhavAI support?
BhavAI currently supports Zerodha (Kite Connect), Fyers, Dhan, Angel One (SmartAPI), Upstox, Alice Blue and Shoonya via their official trading APIs. More Indian brokers are being added. Your funds always remain in your own broker account — BhavAI only sends orders through the API connection you authorize.
Which markets and segments can I trade?
BhavAI supports NSE equity, futures, options and indices, across intraday, swing and positional styles. You can run an intraday BANKNIFTY options strategy and a positional equity strategy side by side from the same dashboard.
Is my broker account safe with BhavAI?
BhavAI never asks for or stores your broker password. Broker connections use official APIs with encrypted API credentials, protected by 256-bit encryption in transit and at rest. You can revoke API access from your broker at any time, and built-in kill switches — maximum daily loss, position limits and automatic square-off — keep live strategies inside the risk boundaries you set.
How accurate is the backtesting?
BhavAI backtests run on years of NSE historical data and model realistic Indian trading costs — brokerage, STT, exchange transaction charges, GST, stamp duty and slippage. Reports include Sharpe ratio, Sortino ratio, maximum drawdown, win rate, profit factor, expectancy and CAGR. No backtest can guarantee future results, which is why BhavAI also provides walk-forward analysis, Monte Carlo simulation and paper trading before you risk real capital.
Can I paper trade before going live?
Yes, and we strongly recommend it. Paper trading on BhavAI uses live NSE market data with virtual capital and the same execution engine as live deployment. When your strategy performs well on paper, switching to live trading is one click — the logic does not change.
How much does BhavAI cost?
BhavAI has a free forever plan that includes the AI strategy builder, visual builder and backtesting. Paid plans add live broker deployment, more concurrent strategies, walk-forward optimization and Monte Carlo simulation. Paid subscriptions start at ₹999 per month, and you can cancel anytime.
Do I need to keep my computer running for live strategies?
No. BhavAI runs your deployed strategies in the cloud. Once a strategy is live, it monitors the market and places orders through your broker API even when your laptop is off. You receive instant notifications for every entry, exit and risk event.
Guides
Learn the method, not just the tool.
- Platform Guides Best Algo Trading Platform in India (2026): How to Choose A practical framework for choosing the best algo trading platform in India — backtesting quality, broker support, costs and safety, compared honestly.
- Strategy Building How to Build Trading Strategies Using AI (No Coding Required) How AI strategy builders turn plain-English trading ideas into testable NSE strategies — example prompts, a 7-step workflow, and the mistakes that cost real money.
- Backtesting & Validation Monte Carlo Analysis for Trading Strategies, Explained Simply What Monte Carlo analysis is, why one backtest equity curve misleads, and how trade shuffling reveals realistic drawdowns — explained for Indian algo traders.
- Backtesting & Validation Backtesting vs Paper Trading: What Each One Proves (and Misses) Backtesting and paper trading validate different things. What each proves, what each misses, and the correct validation sequence for NSE strategies.
Reference
Algo trading in India, explained
What is algorithmic trading?
Algorithmic trading is the use of computer programs to place trades automatically according to a predefined set of rules — rules covering what to buy or sell, when to enter, when to exit and how much capital to risk. Rather than watching charts and clicking manually, an algo trader defines the logic once and lets software execute it consistently, without hesitation or emotional interference.
In India, algorithmic trading was long the preserve of institutions with co-located servers at the NSE. That changed when SEBI-registered brokers — Zerodha, Fyers, Dhan, Angel One, Upstox and others — opened official trading APIs, making retail algo trading practical for individual investors. An AI trading platform like BhavAI now lets anyone build and deploy an NSE algorithmic trading strategy without writing a line of code.
What is an AI trading strategy generator?
An AI trading strategy generator converts a plain-language description of a trading idea into precise, executable rules. You type “Create a momentum strategy using EMA and RSI with a 1.5% stop loss” and the AI produces the complete rule set — entry conditions, exit conditions, risk management and position sizing — ready to backtest against historical NSE data. On BhavAI every generated rule stays visible and editable in the visual strategy builder, so the AI accelerates your work without hiding the logic from you.
How does an algorithmic trading platform work?
A complete algorithmic trading platform connects five layers into one workflow:
- Strategy layer — where the logic is defined. BhavAI offers an AI strategy builder and a visual strategy builder: a no-code stock strategy builder for equity, a futures strategy builder for derivatives, and an options strategy builder for index traders.
- Validation layer — backtesting software that replays your rules over years of NSE history with Indian costs (brokerage, STT, exchange charges, GST, stamp duty, slippage) modelled in, plus strategy optimisation, walk-forward analysis and Monte Carlo backtesting to separate robust edges from curve-fit illusions.
- Simulation layer — real-time paper trading on live NSE prices with virtual capital, so a strategy proves itself in current conditions before real money is at stake.
- Execution layer — live deployment through official broker APIs, covering Zerodha algo trading via Kite Connect, Fyers algo trading, Dhan algo trading, plus Angel One, Upstox, Alice Blue and Shoonya.
- Monitoring layer — live tracking of orders, positions, P&L and risk, with kill switches and instant notifications.
Is algo trading legal in India?
Yes. Algo trading is legal in India for retail investors when it operates through SEBI-registered brokers and their official APIs. SEBI has progressively formalised how retail participants access algorithmic execution, with brokers and exchanges responsible for appropriate controls. BhavAI follows exactly that model: strategies run through your own broker account via APIs your broker officially provides, with risk limits enforced at the platform level. Our roadmap for retail traders covers the practical steps.
Backtesting: what the numbers actually mean
Backtesting is the process of running a trading strategy over historical market data to measure how it would have performed. Good NSE backtesting software reports far more than profit:
| Metric | What it answers | A healthy sign |
|---|---|---|
| CAGR | How fast does capital compound? | Beats your benchmark after costs |
| Sharpe ratio | Is the return worth the volatility? | Above 1.0, sustained out-of-sample |
| Sortino ratio | Is the return worth the downside? | Higher than the Sharpe ratio |
| Max drawdown | What is the worst losing stretch? | One you could psychologically survive |
| Win rate | How often do trades profit? | Consistent with the strategy style |
| Profit factor | Gross profit ÷ gross loss | Comfortably above 1.3 |
| Expectancy | Average ₹ earned per trade | Positive after all Indian costs |
A single backtest is only one version of history, which is why serious platforms add Monte Carlo backtesting — reshuffling and resampling trades across a thousand simulated histories to reveal the realistic range of drawdowns. Monte Carlo analysis explained covers this in depth, and backtesting vs paper trading explains what each validation stage proves.
How to start algo trading in India
- Open an account with an API-enabled broker. Zerodha, Fyers, Dhan, Angel One, Upstox, Alice Blue and Shoonya all offer official trading APIs.
- Define one simple strategy. A momentum crossover with an RSI filter is a fine start — see our indicator guide.
- Backtest it honestly. Include brokerage, STT and slippage; judge it on drawdown and expectancy, not headline returns.
- Optimise carefully, then validate. Walk-forward analysis and Monte Carlo confirm the edge survives outside its training data.
- Paper trade for a few weeks. Live NSE data, virtual capital, zero risk.
- Deploy small, with hard limits. Daily loss caps, position caps and auto square-off before the first live order — our risk management guide shows how.
- Review with data, not emotion. Let results decide whether a strategy scales up or retires.
Whether you call it algorithmic investing, systematic trading or simply taking emotion out of the market, the path is the same: a tested strategy, honest validation and disciplined execution. Traders comparing the best algo trading platform in India keep arriving at the same requirement — the full lifecycle in one place, which is exactly what BhavAI was built to be.
What is BhavAI?
BhavAI is an AI-powered algorithmic trading platform for the Indian stock market. Traders describe a strategy in plain English; BhavAI builds it, backtests it on NSE historical data with real Indian costs, paper trades it on live prices and deploys it to SEBI-registered brokers such as Zerodha, Fyers, Dhan, Angel One and Upstox — without writing code. It also automates TradingView alerts and Chartink scanners into live orders, and covers equity, futures, options, commodities and ETFs. Pricing is in rupees and starts with a free plan.
Your next strategy is one sentence away.
Describe it, test it against seven years of NSE data, and see the drawdown before you risk a rupee. Free to start.
No credit card · Setup in under two minutes