US Equity Research · Screener · Price Backtests · Position Plans

AlphaSteady
US Equity Research

Research technical screens, prior-session price backtests, and target-position plans. Historical financial factors and automatic broker orders remain restricted pending validation.

Daily Bars
--
Split-adjusted
US Universe
--
Liquid Leaders
Point-in-Time
SEC Filings
Historical validation pending
Custody
0% Non-Custodial
No platform asset custody
HISTORICAL RESEARCH

Tech Leaders Top 5 Momentum

Monthly top 5 by 12-month price momentum from seven named tech leaders. Equal weights; 5 bps slippage.

CAGR Return
--
SPY: --
Sharpe Ratio
--
Risk-adjusted
Max Drawdown
--
SPY: --
Alpha vs SPY
--
Annualized excess

Prior-session signals; 5 bps slippage. Price returns, no dividend reinvestment.
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

Filter tracked symbols using 1M/3M/12M price momentum, RSI, volatility and trend metrics. Available results depend on session coverage and indicator warmup; historical financial factors remain restricted.

The Traditional Pain:
Current screens alone do not establish what was knowable historically. Coverage and filing revisions must be checked.
Explore Multi-Factor Screener →
02

Point-in-Time Backtesting

Price-factor research uses prior-session signals and configured slippage. Historical financial factors are blocked pending validation; survivorship bias may remain.

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

Execution planning supports broker-authorized rebalancing. Automatic order submission remains disabled pending integration acceptance tests.

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

Price-Based Strategy Research

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

Explore Custom Strategies →
Tech Momentum Monthly · Top 5

Tech Leaders Top 5 Momentum

Monthly top five from seven named technology leaders using prior-session 12-month price momentum.

CAGR
--
Sharpe
--
Max DD
--
Style:Growth / Trend Following
Slippage:5 bps per trade

Backtest Strategy →
Quality / Value ETFs Monthly · 2 ETFs

Quality & Value ETF Blend

Monthly inverse-volatility allocation to QUAL and VLUE using observed ETF prices.

CAGR
--
Sharpe
--
Max DD
--
Style:Quality / Value
Slippage:5 bps per trade

Backtest Strategy →
Dividend ETFs Monthly · 2 ETFs

Dividend ETF Low-Volatility Rotation

Low-volatility rotation across VIG, SCHD and DVY. Distributions are not reinvested.

CAGR
--
Sharpe
--
Max DD
--
Style:Dividend / Low Volatility
Slippage:5 bps per trade

Backtest Strategy →
PLATFORM STATUS

AlphaSteady Capabilities & Availability

Availability does not imply live-execution acceptance or guaranteed returns.

Feature / Capability Current Availability
Dynamic Multi-Factor Screener Technical factors available; historical financial factors restricted
Cross-Sectional Rotation Backtest Price-return simulations available; survivorship and coverage limits apply
Point-in-Time Filing Dates Filing dates retained; historical revision and duration acceptance pending
Automated Broker Execution Automatic broker orders disabled pending integration acceptance
Fractional Share Rebalancing Notional-weight plans available; fractional rules depend on broker and account
Custody & Account Security Non-custodial research software; no account insurance provided
Pricing & Open Architecture Availability and checkout status are shown on the pricing page
METHODOLOGY & DATA INTEGRITY

Data Provenance & Research Limitations

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. Filing dates alone do not validate historical revisions or reporting duration. Financial-factor backtests remain blocked pending those checks.

Realistic Slippage & Friction Costs

Every trade incorporates a 5 bps (0.05%) liquidity slippage penalty by default. This is a simplified research cost model, not proof of executable prices or future alpha.

15:50 ET Execution Schedule & Availability

15:50 ET is a configured scheduling time, not a guaranteed closing-auction fill. Automatic broker execution is disabled pending integration acceptance tests.

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 stores filing dates. Historical revisions and reporting periods remain unverified, so financial-factor backtests are currently blocked.

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

The execution workspace includes account connection and target-position planning. Automatic orders remain disabled pending broker integration acceptance. Paper balances and permissions must come from your actual broker account; no virtual balance is assumed.

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

Research uses stored split-adjusted daily observations and SEC company facts. These are not real-time exchange feeds. Coverage, corroboration and financial reporting limitations are shown in the data center; licensed datasets may be needed for unresolved history.

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

AlphaSteady does not custody funds. Broker and account protections depend on official terms and do not cover market losses. Automatic broker orders are disabled; API permissions should follow least privilege.

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

Target plans separate sell and buy requirements, but planned sale proceeds are not proof of settled buying power. Broker balances, order status and account permissions must be confirmed. Automatic orders are disabled, and no overdraft prevention guarantee is made.

Can beginners use the prebuilt strategies immediately? ▼

Three research examples cover tech momentum, quality/value ETFs, and dividend ETF low-volatility rotation. Each displays its actual data interval and limitations. Automated broker execution remains disabled pending acceptance tests.

Ready to Upgrade Your Systematic Trading Workflow?

Explore tracked equities and price-based strategies with visible data dates, cost assumptions and limitations.