CommonQuant (Common Quant) — The AI Investment Research Hub &
Alert Hub
CommonQuant, also written Common Quant, is the AI research hub and
alert hub for serious investors. It runs an institutional-grade
research pipeline on every market thesis — structured thesis
extraction, fresh news injected at generation, ticker selection
grounded in SEC XBRL fundamentals, adversarial review by specialist
AI critics, and quantitative portfolio allocation — then compiles
the conclusions into deterministic, auditable strategies. Every
strategy is automatically backtested (12-month and 5-year
walk-forward windows) and stress-tested before it can go live. The
platform then gives each live strategy a 24/7 AI investment agent
that monitors market conditions and checks fresh headlines against
its thesis. It alerts you when conditions trigger or when the
original story no longer holds — in-app and by email on all plans,
with Telegram, SMS, and WhatsApp channels on paid plans. AI does the
research. Rules you can audit fire the alert.
How CommonQuant works
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Write your thesis: Describe your market view in
plain English. For example, "A Middle East ceasefire will trigger
a relief rally on the S&P 500" or "Trump will TACO on the
Hormuz blockade — short crude oil."
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AI runs the research: CommonQuant extracts the
structured thesis (theme, sectors, direction, horizon, risk
appetite), retrieves fresh relevant headlines and injects the
most relevant into the generation, selects tickers grounded in
real fundamentals data — never hardcoded lists — and subjects the
result to adversarial review by specialist AI critics: a risk
auditor, red team, regime skeptic, and diversification critic.
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Quantitative construction: Allocations are
computed deterministically in-engine by real quantitative methods
— Black-Litterman, hierarchical risk parity, risk parity,
max-Sharpe, min-variance — and selected by risk-adjusted
performance. The AI explains; it never invents the numbers.
-
Compile, monitor, alert: The research compiles
into an auditable strategy DSL with explicit invalidation
conditions, validated by a real compiler and automatically
backtested across 12-month and 5-year walk-forward windows and
stress-tested — the strategy stays gated until the backtest
completes. Once live, an AI news judge re-reads the news hourly
and can conclude and settle the campaign when fresh headlines
confirm its invalidation conditions, notifying the owner and
followers. When entry or exit conditions trigger, you receive an
in-app alert, with email on every plan and Telegram, SMS, and
WhatsApp on paid plans.
Key features
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Multi-stage AI research — thesis extraction, fundamentals-grounded
ticker selection (SEC XBRL, sector percentiles), and adversarial
review by specialist AI critics before anything ships
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Institutional portfolio construction — Black-Litterman,
hierarchical risk parity, risk parity, max-Sharpe, and
min-variance allocations, computed deterministically in-engine
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World-aware strategies — every strategy carries explicit
invalidation conditions, and an hourly AI news judge can conclude
and settle a live campaign when fresh headlines confirm them,
notifying the owner and followers
-
Verified before live — every generated strategy is automatically
backtested (12-month and 5-year windows, walk-forward parameter
tuning) and stress-tested on its backtest evidence, and stays
gated until the backtest completes
-
Advanced Analysis — institutional-depth research reports:
computed fundamentals, correlation/VaR/CVaR risk structure, live
distance-to-trigger on every rule, a stress-context panel with
multi-window parameter sensitivity, evidence for and against,
catalysts, and a conviction score with published weights
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A real strategy language — 20+ indicators, chart patterns,
divergences, Fibonacci and support/resistance structure,
cross-asset triggers, and risk-based sizing, validated by a real
compiler and backtested; every alert is deterministic and
auditable
-
Continuous market monitoring across timeframes from 1 minute to 1
week
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In-app and email alerts on all plans; Telegram, SMS, and WhatsApp
on paid plans
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Breaking-news-driven research — significant headlines become
researched, ready-to-copy strategies
-
Transparent track record — every published idea is tracked to
outcome, in public
- Arena competitions and global strategy leaderboards
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SEC fundamentals screener — compare companies by financial metrics
Pricing
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Free ($0): 1,000 starter credits, 500/month
refill, in-app signal alerts, pay-as-you-go email alerts
-
Starter ($9/month): 5,000 credits + 2,500/month
refill, up to 10 signal subscriptions,
SMS/WhatsApp/Telegram alerts, 14-day free trial, cancel anytime
-
Pro ($19/month): 13,000 credits + 6,500/month
refill, up to 25 subscriptions, premium AI models, priority signal
delivery
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Max ($49/month): 40,000 credits + 20,000/month
refill, up to 80 subscriptions, highest alert allowances
No credit card required to start. All tiers can be changed or
cancelled anytime.
Explore CommonQuant
Learn how to
turn ideas into custom stock alerts, use the
AI trading strategy builder, inspect
an idea with
advanced stock analysis, or follow
market news and ready-to-copy trade ideas. See
how CommonQuant fits into a broader
investment research website stack.
Frequently asked questions
What is CommonQuant (Common Quant)?
CommonQuant, also written Common Quant, is the AI research hub and
alert hub for serious investors. You describe what you believe
about the market — for example, "A Middle East ceasefire will
trigger a relief rally on the S&P 500" — and CommonQuant runs
institutional-grade research on it: structured thesis extraction,
ticker selection grounded in SEC XBRL fundamentals, adversarial
review by specialist AI critics, and quantitative portfolio
allocation. It then compiles the conclusions into a deterministic,
auditable strategy — backtested and stress-tested before it can go
live — watches the market and the news continuously, and alerts you
the moment conditions are met or the thesis breaks.
How does CommonQuant generate trading strategies?
You write a natural-language prompt describing your thesis. Every
thesis goes through multi-stage research: structured extraction of
theme, sectors, direction, horizon, and risk appetite; fresh
relevant headlines retrieved and injected at generation; ticker
selection grounded in real fundamentals data — never hardcoded
lists; and adversarial review by specialist AI critics (risk
auditor, red team, regime skeptic, diversification). Allocations
are computed by quantitative methods such as Black-Litterman and
hierarchical risk parity, run deterministically in-engine. The
result compiles into a full strategy DSL — 20+ indicators, chart
patterns, divergences, cross-asset triggers, risk-based sizing —
validated by a real compiler, then automatically backtested across
12-month and 5-year windows with walk-forward parameter tuning and
stress-tested. The strategy stays gated until the backtest
completes; only then does it run live with deterministic, auditable
triggers and alerts through the channels on your plan.
Does CommonQuant monitor the news for live strategies?
Yes — continuously, and it can act on what it finds. Every strategy
carries explicit thesis-invalidation conditions generated with its
thesis. An AI news judge runs hourly against live campaigns, and
when fresh, relevant headlines confirm those conditions, the judge
can conclude and settle the campaign, notifying the owner and its
followers. News is also an input, not just a trigger: the generator
retrieves fresh headlines and injects the most relevant into each
new strategy, and significant breaking news becomes researched,
ready-to-copy ideas.
What markets and instruments does CommonQuant support?
CommonQuant supports several thousand US equities and ETFs listed on
Nasdaq, NYSE, NYSE American, and Cboe, plus major crypto assets such
as Bitcoin. It does not support FX or futures.
How do I receive trading signal alerts?
CommonQuant provides an in-app signal inbox and email alerts on
every plan — email is pay-as-you-go with credits on Free and comes
with an included monthly allowance on paid plans. Paid plans add
Telegram, plus metered monthly SMS and WhatsApp allowances. Every
alert is fired by deterministic, auditable rules — you can see
exactly why it triggered. CommonQuant alerts; you execute through
your own broker.
Is CommonQuant free to use?
Yes. CommonQuant has a free tier with 1,000 starter credits and 500
monthly refill credits, including in-app signal alerts and
pay-as-you-go email alerts. Paid plans start at $9/month (Starter,
with a 14-day free trial) for SMS/WhatsApp/Telegram alerts and
included email allowances, and $19/month (Pro) for up to 25
subscriptions and premium models. No credit card is required to
start.
Does CommonQuant provide financial advice?
No. CommonQuant is a quantitative tool for alpha validation and does
not constitute financial advice. Past performance does not guarantee
future results. Users are responsible for their own trading
decisions.
Can I copy public trading strategies?
Yes. CommonQuant lets users browse, preview, and copy public
community and AI-generated strategies into their own accounts.
Every published idea is tracked to outcome in public, and any idea
can be unlocked into Advanced Analysis — an institutional-depth
research report with computed fundamentals, risk structure,
evidence for and against, and a conviction score with published
weights. Users can also follow strategists and take part in Arena
competitions.
About CommonQuant
CommonQuant is built by Replikate Labs Pte Ltd. It combines
institutional-depth AI research with deterministic, auditable
alerts — AI where judgment matters, rules where trust matters. It
is a quantitative tool for alpha validation and does not constitute
financial advice. Past performance does not guarantee future
results.