Live India scores updated daily after NSE/BSE close

AI Stock Scores for BullBazaar TradersBacktested. Honest. SEBI-aware.

A daily AI Score ranks NSE/BSE stocks by relative technical strength, liquidity, filings, promoter risk, options crowding, and tax-aware portfolio context. It is a ranking tool, not a guaranteed forecast.

1,500+NSE/BSE stocks ranked
10 yrsWalk-forward backtest plan
70+India-specific factors
T+0/T+1Settlement-aware workflow
Real Numbers, Not Marketing

Walk-forward results shown before hype

Every score tier should be validated out-of-sample across bull, bear, sideways, election, budget, expiry, and crash regimes. The product should lead with measurable edge, not fantasy accuracy claims.

10-day win rate by AI Score tier

Percentage of stocks that closed higher over the next 10 trading sessions.

Out-of-sample, walk-forward, audited
Strong setupTop 20% score
58.9%win rate
Moderate setupTop 40%
55.4%win rate
NeutralMiddle range
51.2%win rate
Weak setupBottom 40%
47.8%win rate
Bearish setupBottom 20%
43.6%win rate
+15.3pp
Illustrative edge from Strong to Bearish setupUse this section for the real India backtest once the NSE/BSE universe is processed.

Why this matters: A serious India trading SaaS should not claim 80% accuracy. The honest edge is usually modest and conditional. The product earns trust by showing monotonic score tiers, information coefficient, slippage assumptions, drawdowns, and the regimes where the model fails.

Live Track Record

Every signal timestamped before the outcome

Like the UK reference site, the India product should build in public. Every prediction payload is hashed, timestamped, and made downloadable so accuracy cannot be edited later.

01

Post-close model run

Signals are generated after Indian market close using only data available at that moment.

02

SHA-256 hash

The full prediction file is hashed with model version, feature values, and timestamp.

03

Public audit log

Users can download any day, verify the hash, and inspect what the model knew.

"market": "NSE/BSE",
"export_date": "2026-06-22",
"prediction_count": 1538,
"model_version": "india-score-v1.0.0",
"sha256_digest": "91e2c71b4f8a...a6d2",
"generated_at": "2026-06-22T15:45:02+05:30"

Why this is different in India

Many platforms show tips, charts, and screeners. Very few freeze every recommendation before the result, disclose weak periods, and let users verify the full prediction history.

What gets stored

Score, confidence band, feature values, corporate action state, liquidity filter, pledge risk, options crowding, model version, and post-cost return benchmark.

Honest Expectations

What BullBazaar Alpha is. And what it is not.

Expectation-setting is part of the product. It filters out gamblers and attracts serious retail traders, RIAs, and portfolio managers.

YES - What it is
+
A daily ranking systemScores stocks by relative strength, risk, liquidity, filings, and regime fit.
+
A research acceleratorCombines signals that Indian traders usually gather from multiple places.
+
A discipline layerATR stops, position sizing, slippage, tax impact, and max-loss rules come before trade entry.
+
A governed algo workspaceFor paper-to-live automation with logs, kill switches, and broker approval evidence.
NO - What it is not
-
Not a guaranteed return engineNo model can predict every stock move. Losses are expected.
-
Not a replacement for judgmentValuation, events, liquidity, and personal risk tolerance still matter.
-
Not an unapproved tips serviceLanguage stays educational, explainable, and compliance-aware.
-
Not blind automationLive algo trading requires broker controls, audit logs, and user-defined risk limits.
India Market Intelligence

Beyond a stock screener

These modules mirror the UK site structure, but the data and use cases are India-specific.

Sector Rotation Heatmap

Where money is moving this week

SR
Private Banks+3.4%
Auto+2.1%
IT Services+0.7%
FMCG-0.8%
Realty-1.9%

Results & Event Calendar

Earnings, AGMs, dividends, splits

EC
INFY Infosys
Today
HDFCBANK HDFC Bank
Tomorrow
TCS Tata Consultancy
In 3d
RELIANCE Reliance
In 5d
LT Larsen & Toubro
In 6d

Promoter & Pledge Radar

Governance risk, not just price action

PR
ABCINFRA pledge +4.8%
High risk
TITAN clean pattern
Clean
XYZCAP block deal
Review
MARUTI no issue
Stable
Risk Management

Know your risk before you trade

Every stock page should show ATR stops, position sizing, liquidity warnings, margin impact, and post-cost breakeven. For India, this must include brokerage, STT, GST, stamp duty, exchange charges, and tax context.

  • ATR stop levelsTight, normal, and wide stops based on volatility.
  • Position sizingShares and capital at 0.5%, 1%, and 2% portfolio risk.
  • Tax-aware exitShows STCG/LTCG and loss-harvesting impact before the order.
  • F&O exposureTracks margin, drawdown, expiry risk, and hedge alternatives.
Risk management - RELIANCEIllustrative
Volatility

Medium

ATR (14)

Rs 48.20

Tight stopRs 2,812 -1.8%
Normal stopRs 2,764 -3.4%
Wide stopRs 2,716 -5.1%
Rs 50k capital17 shares
Rs 2L capital69 shares
1% riskRs 2,000 max loss
Tax noteSTCG sensitive
Paper trading portfolioIllustrative
Portfolio value

Rs 10,84,700

+Rs 84,700 this month
Rank

#3

RELIANCEEnergy + retail+8.4%
ICICIBANKPrivate bank+4.2%
INFYIT services-1.8%
Practice Without Risk

Paper trading and leaderboard

Let users test the India AI Score with virtual capital before connecting a broker. This creates retention, proof, and a training path from research to disciplined execution.

  • Virtual tradesTrade the daily score without risking real capital.
  • Community leaderboardRank by risk-adjusted return, not raw gambling returns.
  • AI coachDetects overtrading, revenge trades, early exits, and oversized F&O bets.
  • Broker handoffOnly after users understand drawdown, slippage, and position sizing.
India Exclusive - Pro Feature

Options crowding and expiry pressure monitor

Instead of copying the UK short-squeeze monitor directly, the India version should own the F&O pain point: weekly expiry crowding, unusual OI, strike magnet zones, gamma pressure, and liquidity traps.

  • OI concentrationFind crowded call/put strikes and fresh build-up.
  • Gamma zonesHighlight levels where hedging flow may intensify intraday moves.
  • Expiry mapSeparate weekly expiry noise from genuine trend continuation.
  • Risk flagWarns when a trade setup is attractive but execution risk is poor.

F&O trading is high risk. This module should be positioned as risk intelligence, not a promise of intraday profit.

Nifty expiry pressureIllustrative
22,600 CECrowded 87
22,400 PESupport 66
22,500 straddleMagnet zone
Bank NiftyCleaner trend
72
Expiry crowding scoreHigh crowding. Prefer defined-risk spreads over naked options.
SEBI-aware Automation

Algo Passport for broker-approved execution

This is the key India-only differentiator. Users can design, backtest, paper trade, approve, monitor, and stop strategies with a full compliance evidence trail.

Strategy versioning

Freeze rules, parameters, backtests, broker, instrument universe, risk limits, and model version before live activation.

Order-to-trade guard

Monitor order bursts, cancellations, rejects, throttles, and exchange penalty risk before it becomes expensive.

Kill switches

Stop trading on drawdown, stale quotes, API heartbeat failure, margin spike, bad tick, or slippage breach.

Simple Pricing

Retail entry, professional expansion

Keep the UK-style low-friction free start, then monetize serious traders, F&O users, and advisor teams.

Free

Rs 0
  • Daily top 20 India AI Scores
  • Basic watchlist
  • Public track record
  • Education-first risk notes
Start Free

Advisor

Rs 9,999 /mo
  • Client portfolio monitoring
  • White-label reports
  • Algo Passport oversight
  • Audit exports and API access
Talk To Sales
FAQ

Questions serious users will ask

Is this financial advice?

No. The product should be positioned as research, risk management, and decision-support software. Any advisory or execution feature must be reviewed against SEBI, exchange, broker, and RIA requirements before launch.

How is this different from Zerodha, Groww, Upstox, or TradingView?

Those products are strong at execution, investing access, or charting. This is a broker-neutral intelligence layer with public audit logs, India-specific filings, tax-aware risk tools, options crowding, and algo governance.

Why show modest accuracy instead of big claims?

Because realistic edge builds trust. The product should show score-tier performance, weak regimes, slippage assumptions, post-cost returns, and exact prediction history.

Can it connect to brokers?

Yes, through broker APIs where permitted. The first release should support paper trading and portfolio import, then controlled live execution after the Algo Passport and risk controls are ready.