Proof Hub

Systematic trading research in practice

Audience paths, workflow guides, and live product artifacts. Start with fit, move into proof, then decide on a plan.

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Demo Try the workflow without login Fit Check fit before features Compare See where Alphrex takes over Plan Review the pricing boundary
01

Start by Audience

Each path carries first-value context into proof and plan decisions.

Discretionary trader

Best when you already have chart-driven ideas and need a governed way to reject weak setups before capital is at risk.

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Retail quant

Best when you compare strategy families, validation reads, and benchmark-relative interpretation rather than running one isolated backtest.

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Portfolio-minded

Best when the main job is benchmark fit, forward paper discipline, and portfolio context instead of isolated trade ideas.

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02

Workflow guides

Structured pages for the main research jobs Alphrex already handles well: strategy selection, benchmark-aware testing, and forward paper discipline.

Guide ETF rotation

Research ranking rules, benchmark choices, turnover costs, and forward follow-up without treating the backtest as the last word.

Workflow

Choose the rule, pressure-test it in Backtest and Compare, then move only credible variants into Paper.

What it proves

A realistic research workflow for ranking rules, benchmark design, and promotion discipline.

Open ETF rotation →
Guide Paper trading systematic strategies

Track what happens after the backtest ends, keep benchmark context attached, and distinguish forward evidence from historical model output.

Workflow

Promote only validated strategies, monitor deterioration, and inspect forward behavior at the sleeve or portfolio level.

What it proves

Explains why the forward paper layer exists and what it should and should not establish.

Open Paper trading systematic strategies →
03

Public examples

Concrete acquisition assets that show what a strong saved result, comparison decision, and paper-to-scoreboard progression look like in practice.

Demo No-login workflow demo

A static product walkthrough showing how one idea moves from backtest evidence to comparison and paper tracking before account creation.

Workflow

Inspect the canned result, compare the decision frame, then create an account to run your own ticker and strategy.

What it proves

Shows the activation path without asking the visitor to commit first.

Open No-login workflow demo →
Example Saved result example

A concrete saved-result memo showing how validation, benchmark fit, and decision framing should sit next to the headline backtest.

Workflow

Read the saved result as a research memo: headline metrics, validation contract, benchmark-relative checks, then a clear next action.

What it proves

Shows how one research artifact carries the headline, the caveats, and the next decision in one page.

Open the Saved result example →
Example Benchmark-aware compare example

A side-by-side comparison example showing why the leader is the strategy with the strongest combined validation and benchmark-relative read, not just the highest CAGR.

Workflow

Compare peers on the same ticker, read active return and tracking context, then keep only the candidate whose contract survives the harder baseline.

What it proves

Demonstrates that selection quality matters more than isolated headline returns.

Open Benchmark-aware compare example →
Example Paper and scoreboard example

A forward-evidence example linking saved research, paper tracking, alerts, and scoreboard standing without confusing live ranking with historical backtests.

Workflow

Promote a validated result, watch live sleeve behavior, inspect alerts and benchmark drift, then read scoreboard rank as forward evidence only.

What it proves

Shows how forward paper evidence is earned after research rather than inherited from it.

Open Paper and scoreboard example →
04

Live shared artifacts

Real public result pages generated inside Alphrex. These are product artifacts first and acquisition surfaces second.

Shared artifact SPY RSI(3) Pullback

Backtest report · Friction-aware mean reversion still clears holdout and benchmark-relative checks.

Workflow

Start with one clean run, then use compare to decide whether this pullback expression actually deserves the slot.

Open SPY RSI(3) Pullback →
Shared artifact QQQ Trend Filter Review

Compare review · Donchian survives after MACD and TSMOM are forced through the same benchmark-aware window.

Workflow

Use the compare artifact to show why the prettier alternative lost, not just why the winner looked good.

Open QQQ Trend Filter Review →
Shared artifact Balanced Tactical Portfolio

Portfolio review · Forward sleeve mix judged against a factor-matched 60/40 reference with concentration and alert context intact.

Workflow

Use the portfolio review once the real question is allocation quality, not whether one isolated sleeve had a good backtest.

Open Balanced Tactical Portfolio →
Start

Run the workflow on your own idea.

Open the no-login demo to see the research path, then create a free workspace to run it on a strategy you care about.

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