Quantly vs M1 Finance

M1 Pies are fundamentally static. You pick holdings, assign target percentages (up to 100 slices per Pie, including nested Pies), and M1 maintains those weights through deposits and optional one-click rebalancing. There is no way to say "hold NVDA when its 30-day return beats SPY" or "rotate into the top 3 momentum stocks each month." Your allocation only changes when you edit the Pie manually.

Quantly starts with the same building block - a weight node with equal or specified percentages - so a classic M1-style 60/40 stock-bond Pie or equal-weight tech basket maps directly. On top of that, you can wrap allocations in if/else logic, filter nodes that rank and select assets by indicators, and scale exposure based on market conditions. Same baseline, more expressive strategy design.

M1 shows portfolio performance after you invest, but it does not offer historical strategy backtesting. You cannot simulate how a Pie would have behaved through the 2008 financial crisis, a COVID drawdown, or a multi-year bull market before committing capital.

Quantly backtests every strategy on historical daily data, with history to ~1962 for select tickers. You get CAGR, Sharpe ratio, max drawdown, benchmark comparisons, branch history in the editor, and optional Monte Carlo simulation. For investors graduating from simple allocations to systematic rules, backtesting is the difference between guessing and validating.

M1 automates investing through Auto-Invest, recurring transfers, and dynamic rebalancing on new deposits. Trades execute in scheduled daily windows - typically 9:30 AM or 3 PM Eastern. Accounts under $25,000 choose one window; higher balances can use both. This works well for passive dollar-cost averaging but offers no per-holding or per-strategy scheduling.

Quantly automates strategy execution through connected brokerages. Each strategy can trade at its own time anywhere from 9:30 AM to 3:59 PM ET. Quantly Paper ($15/mo) runs automation against a paper account. Quantly Pro ($25/mo) adds live trading. That matters when you run multiple strategies and want to stagger execution or align with specific market events.

M1 charges no commissions on stock and ETF trades. The platform fee is $3/month for accounts under $10,000 in total M1 assets (waived when you reach $10k at least one day per billing cycle, or if you have an active M1 Personal Loan). IRA accounts below the threshold pay a separate $3/month IRA fee unless exempt. For large, simple portfolios, M1 can be very low cost.

Quantly charges for the strategy platform: $15/mo for Paper (automated paper execution included) and $25/mo for Pro (live trading). You also maintain your own brokerage relationship for custody. The trade-off is paying for backtesting depth, rules-based logic, paper automation, and bring-your-own-broker flexibility that M1 does not offer.

M1 is an integrated US brokerage. You open accounts (individual, joint, IRA, trust, custodial) directly on M1, fund via ACH, and custody stays on-platform. M1 also offers adjacent products: M1 Spend (checking), M1 Borrow (margin loans), Smart Transfers (threshold-based cash rules for M1 Plus members), and an Owner's Rewards credit card. If you want one app for banking and passive investing, M1's ecosystem is hard to beat.

Quantly connects to supported brokerage partners for execution. You keep your brokerage relationship separate from the strategy platform. This suits users who already have a preferred broker, want automated paper trading before going live, or live outside the US in regions where supported brokers operate. Quantly does not replace a bank or custodian - it replaces guessing about whether your rules work.

Equal-weight baskets: a weight node with method "equal" across 3-8 tickers mirrors a simple M1 Pie.

Specified tilts: method "specified" with target fractions replicates M1 target percentages, including overweighting a focal holding.

Thematic portfolios: group related sector tickers the same way you would build a custom M1 Pie slice.

Recurring automation: Quantly strategies rebalance on your schedule through connected brokerages, similar to M1 Auto-Invest on deposits.

What Quantly adds on top: conditional branches, momentum and RSI filters, top-N selection, reference blocks for reusable logic, community strategies on Explore, Composer symphony import, and deep backtesting.