Spawn AI Agents that discover alpha

Momentum Sentinel

Seek intraday breakout alpha across NIFTY 50 high-beta names

Allocated ₹5.0LDeployed ₹3.2L

Sharpe

1.96

Wakes

14

Findings

6

P&L

₹48.9k

2.4Mstrategies backtested
+847%peak research alpha
1.2Bbars crunched
3.1best Sharpe found
68%top win-rate
875users seeking alpha

Strategy Performance

Strategy Return

+15.3%

Benchmark

+6.3%

Sharpe Ratio

1.96

Max Drawdown

-4.1%

Strategy
Benchmark

Smart Growth

12,847+

Strategies backtested on the platform, building research depth and reaching performance benchmarks.

1.2B

Data points analyzed across equities, derivatives, and indices for comprehensive research coverage.

+23.5%

Average annual return improvement across diversified strategies, balancing risk while steadily increasing growth.

1,800+

Stocks available to backtest across NSE and BSE, from leading indices to mid & small cap universe.

Your research stack is bleeding ₹.

By the time you’ve finished researching across seven tools, the move’s already happened. The setup ran without you.

Your current stack

  • TradingView

    Premium

    ₹2,100/mo
  • Sensibull

    Pro

    ₹800/mo
  • Opstra / DefineEdge

    Positional

    ₹999/mo
  • screener.in

    Premium

    ₹333/mo
  • Trendlyne

    DVM Pro

    ₹650/mo
  • StockEdge

    Premium

    ₹500/mo
  • ChatGPT / Claude

    Pro

    ₹1,700/mo
Monthly total₹7,000+/mo

What it’s costing you

  • Seven tabs open before the 9:15 bell even rings.
  • 2+ hours of prep for a single intraday idea.
  • Copy-pasting charts into ChatGPT for answers it can’t verify on Indian data.
  • ₹7,000+/month in subscriptions before you place one trade.
  • 5+ sources manually re-checked before every entry.
  • No second pass — your thesis goes unchallenged into the open.
  • Tools that never talk to each other. You are the integration layer.
Time lost~15hrs/week

alphabench

  • 1,800+ NSE & BSE equities and live F&O chains, one unified agent.
  • Cross-synthesis finds confluences across price, flow, and fundamentals you’d miss.
  • 2 hours → 12 minutes. Cut pre-market research time by ~10x.
  • Frontier AI models (Claude, GPT, Gemini) doing the heavy lifting on your watchlist.
  • Exact setups confirmed or denied with a deterministic RaptorBT backtest — no hallucinated edge.
  • alphabench alerts — ambient agents running your strategies through every session, 24/7.
  • Build your own alerts in plain English, scheduled around the IST trading day.

One agent. Every Indian market source. Synthesized.

alphabench fans out across data, lets frontier models reason over it, runs the numbers in RaptorBT, and emails you the moment a setup fires — through every session.

Screen 1,800+ NSE & BSE names

Screen 1,800+ NSE & BSE names

30+ fundamental factors — ROE, ROCE, P/E, margins, growth.

F&O flow & open interest

F&O flow & open interest

NIFTY · BANKNIFTY · FINNIFTY option chains, OI build-up, PCR.

Live news & sentiment

Corporate actions, results, RBI & SEBI headlines, X chatter.

10+ years of price history

1-minute to daily candles across equities, futures & options.

ClaudeChatGPTGeminiDeepSeek

Frontier AI models synthesizing

Cross-references flow, fundamentals & price action into one thesis.

executed by
alphabenchorchestration
RaptorBTbacktest engine

Pre-market brief

Overnight cues — SGX/GIFT NIFTY, ADRs, top gappers, key events at 9:15.

Backtested trade ideas

Backtested trade ideas

Every setup confirmed on real history by RaptorBT before it reaches you.

Portfolio & strategy alerts

Drawdown, regime shift, and signal triggers on your deployed agents.

Email alerts

Emails you the moment it hits · 24/7

Your portfolio threshold hit at 11:42 IST. Tap to open the brief.

Built for every level.

alphabench meets you where you are. Where are you on your trading journey?

01Ask

Ask alphabench for a trade idea or a plain-English explanation of any market concept — “What’s a CPR bounce on NIFTY?”

02Plan & Execute

It plans across 1,800+ names and F&O chains, writes the strategy, and runs a real backtest on RaptorBT — live.

03Present Findings

You get a clean dashboard — equity curve, Sharpe, drawdown, win-rate — and a clear answer in INR terms.

04Automate it

Turn the answer into an alert. alphabench reruns it on the IST schedule and emails you the moment it fires.

alphabench

Smarter Research With AI Forecasts, Institutional Analytics, and Real-Time Data

Fast Start

Describe your strategy in plain English and get backtests within seconds, with zero unnecessary complexity.

Trusted Engine

RaptorBT is open-source, battle-tested, and blazing fast. Institutional-grade calculations with full transparency.

AI Forecasts

Get AI-powered regime detection, parameter sensitivity analysis, and Monte Carlo simulations to maximize long-term edge.

Sample Strategies

15min ORB

NIFTYEQ
+18.7%

Sharpe

2.24

Max DD

-3.2%

Win Rate

64.2%

VWAP Scalp 5m

RELIANCEEQ
+12.3%

Sharpe

1.89

Max DD

-2.8%

Win Rate

58.6%

CPR Bounce

BANKNIFTYEQ
+16.1%

Sharpe

2.05

Max DD

-4.1%

Win Rate

61.3%

Momentum 5m

TCSEQ
+14.8%

Sharpe

1.73

Max DD

-3.5%

Win Rate

55.9%

Supertrend 5m

NIFTY FUTFO
+21.2%

Sharpe

1.91

Max DD

-5.7%

Win Rate

52.4%

Need Help

Common questions about the platform, data coverage, and getting started with AI-powered quant research.

An AI agent is a specialized LLM with a focused tool surface. alphabench spawns four core agents: Planner (orchestration), Quant (backtest execution), Researcher (data discovery and fundamental screening), and Diagnostician (trade forensics). They collaborate to handle your request, share message history, and each agent only sees the tools it owns, which keeps reasoning sharp and answers truthful.

The Planner agent reads your message and routes work. A backtest request goes to the Quant agent. A "find me stocks with ROE > 18" request goes to the Researcher. A "why did this strategy lose money" request goes to the Diagnostician. Most prompts use two or three agents in sequence, and you see one coherent answer.

Describe your strategy in plain English. The Planner agent interprets it, the Quant agent translates it into a strategy DSL and calls RaptorBT (our open-source Rust engine), which runs the backtest deterministically and returns equity curves, trade logs, and metrics. No LLM is in the execution path, so backtests are reproducible.

The Quant agent handles any intraday strategy: Opening Range Breakouts (ORB), CPR levels, VWAP scalping, momentum breakouts, options straddles, futures trending. Use 1-minute to 15-minute timeframes with time-of-day filters, session-based exits, and real slippage modeling.

1,800+ NSE & BSE equities with 10+ years of daily data, active F&O instruments, weekly and monthly options chains, and 30+ fundamental fields per equity (ROE, ROCE, P/E, P/B, revenue growth, margins). Intraday data goes down to 1-minute candles. The Researcher agent has read-only access; the Quant agent uses the same data to backtest.

Yes. The Quant agent supports straddles, strangles, spreads, iron condors, calendar spreads, diagonals, and custom multi-leg strategies on NIFTY and BANKNIFTY with real historical options chain data and per-leg expiry control.

Yes. Paper trade with tick-level live simulation first, then deploy to live trading with Zerodha integration. Monitor P&L, positions, and signals in real-time via WebSocket updates. Strategy health monitoring runs as a separate agent loop after deployment.

Yes. You can start for free with no credit card required. The free tier includes generous daily backtest limits and full access to equity data.

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