M1 automates target-weight portfolios. Quantly can do the same static allocations - and add conditional logic, backtesting, and paper trading.
Last updated: September 2026.
M1 Finance and Quantly solve different problems on the surface. M1 is a US brokerage built around Pies: you set target percentages for stocks and ETFs, schedule deposits, and M1 automatically buys underweight slices to keep your portfolio near those targets. Quantly is a visual strategy workspace for designing, backtesting, and automating quantitative rules.
But for a large class of M1 use cases - equal-weight baskets, specified tilts, thematic portfolios, recurring automation - Quantly can replicate the same outcome with a weight node and specified percentages. Where Quantly goes further is everything M1 cannot do: if/else branches, momentum filters, RSI conditions, long-history backtests, Monte Carlo stress tests, per-strategy trade times, and automated paper trading before you commit real capital.
Static allocations vs rules-based strategies
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.
Backtesting and validation
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.
Automation and trade timing
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.
Pricing models
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.
Brokerage and ecosystem
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.
What Quantly can replicate from M1
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.
Summary: who each platform fits
Choose Quantly if you...
- Want to replicate M1-style allocations and add rules-based logic on top
- Need historical backtesting before investing real capital
- Want automated paper trading ($15/mo) before going live on Pro ($25/mo)
- Run multiple strategies with different trade times (9:30 AM - 3:59 PM ET)
- Need momentum, RSI, filter, or if/else conditions M1 cannot express
- Prefer connecting your own brokerage or investing outside the US
- Value Monte Carlo simulation, reference blocks, and Explore community strategies
- Want AI strategy generation in the app or through MCP for AI assistants
- Need REST API access for programmatic workflows
- Are outgrowing static Pies and want a systematic, testable workflow
Choose M1 Finance if you...
- Want the simplest possible passive investing with static target weights
- Prefer an integrated US brokerage with IRA support in one app
- Value the M1 ecosystem (checking, margin, credit card, Smart Transfers)
- Have $10k+ on M1 and want near-zero platform fees for basic automation
- Do not need backtesting, conditional logic, or paper trading
- Are happy with two daily trade windows and manual Pie edits for changes
Frequently asked questions
Can Quantly replicate an M1 Pie?
Yes, for static allocations. A Quantly weight node with equal or specified percentages mirrors a target-weight M1 Pie. Equal-weight baskets, 60/40 splits, and thematic tilts all map directly. Quantly goes further when you add conditional logic, filters, or indicator-based rules that M1 cannot express.
Does M1 Finance offer strategy backtesting?
No. M1 shows live portfolio performance and provides Model Portfolios with return history, but it does not let you backtest a custom Pie or rules-based strategy on historical data before investing. Quantly backtests every strategy with metrics like CAGR, Sharpe, and max drawdown.
Which is cheaper?
It depends on account size and needs. M1 is $3/mo under $10k in M1 assets (waived at $10k+) with no separate strategy platform fee. Quantly is $15/mo for paper automation or $25/mo for live trading, plus your brokerage. M1 wins on cost for simple static portfolios above $10k. Quantly wins when you need backtesting, rules, and paper trading that M1 does not offer.
Can I use Quantly or M1 outside the US?
M1 is US-only through its integrated brokerage. Quantly connects to supported brokerage partners and can be used internationally in regions where those brokers operate, though live trading depends on broker availability in your country.
Does M1 support conditional trading rules?
No. M1 Pies use fixed target percentages. Dynamic rebalancing directs new deposits to underweight slices, but there is no RSI trigger, momentum rotation, or if/else branching. Quantly supports all of these through its visual strategy tree.
Can I paper trade on M1?
M1 does not offer automated paper trading for portfolio strategies. Quantly Paper ($15/mo) includes full automated paper execution so you can validate strategies before upgrading to Pro for live trading.
Which platform is better for beginners?
M1 is simpler for pure buy-and-hold with fixed allocations - set percentages once and automate deposits. Quantly has more to learn but is the better choice if you want to test ideas systematically, start with paper trading, or eventually add rules beyond static weights.
