All-in-One US Quant SaaS · Screener · PIT Backtest · Auto Execution

Quantitative Precision for
Independent Investors

Unite multi-factor dynamic screening, zero-lookahead point-in-time backtesting, and automated non-custodial broker execution. Eliminate the broken workflow of disconnected spreadsheets, screeners, and manual orders.

Daily Bars
318,468+
Split-adjusted
US Universe
9,219+
Liquid Leaders
Point-in-Time
100% PIT
Zero Lookahead
Custody
0% Non-Custodial
SIPC Protected
LIVE SIMULATOR

Magnificent 5 Momentum Rotation

Rotates top US mega-cap tech leaders by 12-month relative price momentum. Backtested with 5 bps slippage against SPY benchmark.

CAGR Return
+32.4%
vs SPY: +14.8%
Sharpe Ratio
2.14
Risk-adjusted
Max Drawdown
-16.2%
vs SPY: -24.5%
Alpha vs SPY
+17.6%
Annualized excess
Point-in-Time simulated with 5 bps realistic execution slippage.
Open in Strategy Lab
ALL-IN-ONE SOLUTION

Replace 4 Disconnected Tools with One Unified Closed-Loop

Self-directed traders waste hours jumping across screeners, spreadsheets, and brokers. AlphaSteady bridges the entire cycle.

01

Dynamic Universe Screener

No more static watchlists. Filter across PE, ROE, revenue growth, and 3M/6M/12M momentum to identify top-decile market leaders.

The Traditional Pain:
Finviz / TradingView screens don't save point-in-time states, fostering recency bias and emotional trading.
Explore Multi-Factor Screener →
02

Point-in-Time Backtesting

Strictly aligned with official Point-in-Time 10-Q/10-K filing dates. Models slippage and commissions against SPY benchmark with zero lookahead bias.

The Traditional Pain:
Python backtesting scripts often suffer from lookahead bias, generating paper gains that collapse in live execution.
Open Strategy Lab →
03

Automated Broker Execution

Automatically calculates target share weights at 15:50 EST. Executes sell-first rebalancing with fractional shares down to $1.

The Traditional Pain:
Setting alarms to manually enter trades on mobile broker apps, risking execution errors and tracking deviations.
Configure Auto-Pilot Execution →
BATTLE-TESTED PRESETS

Production-Ready Systematic Strategies

Validated through academic factor models and real historical market data. 1-click backtest and deployment.

Explore Custom Strategies →
Tech Momentum Monthly · Top 3

Magnificent Momentum 5

Ranks mega-cap tech leaders (NVDA, AAPL, MSFT, AMZN, GOOGL, META, TSLA) by 12-month relative price momentum, equally allocating to top 3 leaders.

CAGR
+32.4%
Sharpe
2.14
Max DD
-16.2%
Style:Growth / Trend Following
Turnover:~15-25% Monthly
Backtest Strategy →
Buffett Quality Quarterly · Top 4

Buffett Quality & FCF

Focuses on ROE > 15%, reasonable PE multiples, and robust free cash flow across wide-moat stalwarts (AAPL, BRK.B, JNJ, PG, JPM, GOOGL, MSFT).

CAGR
+21.5%
Sharpe
1.88
Max DD
-11.8%
Style:Defensive Compounding
Turnover:Low (Quarterly)
Backtest Strategy →
Low-Beta Shield Monthly · Top 4

Defensive Low-Beta Shield

Screens consumer staples and healthcare leaders (JNJ, PG, KO, PEP, WMT, MCD, XOM) for dividend yields > 2.5% and low historical volatility.

CAGR
+14.8%
Sharpe
1.62
Max DD
-8.4%
Style:Capital Preservation
Turnover:Ultra-low slippage
Backtest Strategy →
INDUSTRY BENCHMARK

Why Choose AlphaSteady?

See how AlphaSteady compares to Finviz, TradingView, Composer.trade, and Portfolio Visualizer.

Feature / Capability AlphaSteady (This Platform) Finviz Screener TradingView Composer.trade Portfolio Visualizer
Dynamic Multi-Factor Screener Valuation + Quality + Momentum filters Basic filters Single-ticker chart focus Basic technicals only Static tickers only
Cross-Sectional Rotation Backtest No-code point-in-time rotation No portfolio backtest Requires complex PineScript Visual logic blocks Static asset allocation
Point-in-Time Filing Dates Zero lookahead bias (filing_date) Latest snapshot only Susceptible to reporting delay bias Opaque fundamental lags Monthly macro focus
Automated Broker Execution Automated MOC 15:50 rebalance Not supported Requires custom Webhook relay Automated Execution No broker execution
Fractional Share Rebalancing Sell-first, down to 0.001 shares Not supported Whole shares only Supported Not supported
Custody & Account Security 100% Non-custodial (SIPC insured) Non-custodial Non-custodial Non-custodial Non-custodial
Pricing & Open Architecture Open-Access Institutional SaaS $39.50/mo (Elite) $29.95/mo (Pro+) $38.00/mo (Pro) $35.00/mo (Commercial)
METHODOLOGY & DATA INTEGRITY

Zero Lookahead Bias: The True Quantitative Foundation

Why do most retail backtests collapse in real-world trading? Rigor makes all the difference.

Point-in-Time Filing Dates

While Q2 ends on June 30, companies typically file their 10-Q between July 25 and August 10. AlphaSteady never allows strategies to access financial statements before their official public filing date, eliminating lookahead bias.

Realistic Slippage & Friction Costs

Every trade incorporates a 5 bps (0.05%) liquidity slippage penalty by default. Only strategies that generate consistent alpha after real-world execution friction earn capital allocation.

15:50 EST Market-on-Close Execution

By avoiding opening volatility and executing 10 minutes before market close (15:50 EST), AlphaSteady accesses peak end-of-day liquidity, minimizing tracking error against daily closing bar backtests.

FREQUENTLY ASKED QUESTIONS

Frequently Asked Questions

Everything you need to know about our architecture, compliance, and execution mechanics.

What is Point-in-Time (PIT) backtesting, and why do typical backtesters fail? ▼

Standard backtesting software mistakenly uses the fiscal quarter end date (e.g. 2023-06-30) to populate fundamental ratios. In reality, that 10-Q filing wasn't publicly accessible until August 5. Using unreleased data in July introduces fatal lookahead bias, causing inflated paper returns. AlphaSteady strictly indexes official Point-in-Time timestamps (filing_date), guaranteeing historical realism.

How does AlphaSteady connect to brokerages? Is Paper Trading supported? ▼

AlphaSteady natively supports major institutional broker APIs (including Alpaca). Simply enter your API credentials in the Execution Console. Paper Trading is enabled by default with a $100,000 virtual balance for risk-free strategy validation before deploying real capital.

Do I need to pay expensive external market data or exchange subscription fees? ▼

No external data subscriptions required. AlphaSteady directly embeds institutional-grade split-adjusted market feeds across 9,000+ US equities and official Point-in-Time regulatory company fundamentals. Cross-sectional factors are pre-computed in our proprietary high-throughput time-series engine for sub-second query and backtest performance, fully bundled into your plan.

Does AlphaSteady hold custody of my funds? How is my account protected? ▼

Never. AlphaSteady is strictly a non-custodial software and technology provider. Your capital remains safely held in your personal SIPC-insured brokerage account. AlphaSteady can only submit trading orders via your authorized API keys; it cannot withdraw or transfer funds.

How does the 'Sell-First' rebalancing algorithm protect cash balances? ▼

On scheduled rebalance dates, the system first liquidates exiting or overweight positions to release settled cash before submitting buy orders for incoming positions. Coupled with a 30% single-stock maximum weight guardrail, this eliminates cash overdrafts.

Can beginners use the prebuilt strategies immediately? ▼

Yes. The platform includes three prebuilt strategies: Magnificent 5 Momentum, Buffett Quality & Value, and Defensive Low-Beta. You can load and backtest each with a single click, then dry-run in Paper Trading mode to build systematic trading confidence.

Ready to Upgrade Your Systematic Trading Workflow?

No complex Python setup. No expensive data subscriptions. Start testing and automating your equity strategies in your browser today.