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sandbox · v0.1

How we compare

An honest comparison.

The pitch we will not make is "we do everything they do, and more." each of these products was built with a particular reader in mind, and each does its thing well. this is where the loop is different — data → idea → code → backtest → deploy → attribute → publish, in one product, for the Indian retail and family-office trader.


capabilityvajraquantBloombergQuantConnectTradingViewbroker-native
plain-english → code (white-box)
AI writes Python you can read and edit; not a signal you obey.
yespartial
backtest + replay bar-by-bar
step every panel in sync at the moment the strategy decided.
yesyespartial
overfitting made visible
in-sample/out-of-sample by default, concentration warnings, verdict at the top.
yespartial
live execution, broker-agnostic
adapter pattern; not locked to one broker; SEBI algo-ID tagged.
yespartialpartialsingle broker
shadow trading before live
paper alongside live, divergence shown, honest slippage attribution.
yes
kill switch, two-tap on mobile
per-strategy, per-account, global. always visible in app chrome.
yespartialpartial
consolidated news, symbol-tagged
RSS + filings + regulator + AI summary + per-symbol sentiment.
yesyespartial
CA-ready tax export (India)
FIFO lot ledger, Section 112A, ICAI turnover, ITR-utility JSON.
yespartial
multi-entity + family office
individual, HUF, trust, LLP; consolidated net worth; insider module.
yespartial
strategy sharing without signal-selling
fork the code, run it in your account. no leaderboard of returns.
yespartialpartial
priced for a retail trader in India
INR pricing, credit-metered, hard billing cap.
yesyesyes

"partial" and "—" reflect the shape of the product, not our judgement of it. every product on this table exists because someone built it well for somebody. this matrix is about what a self-directed Indian trader gets from one loop.

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no drip, no digest. one email when there's a real product to sign up for.