Signal Lab · Capital-allocation research engine

Systematic capital-allocation research.

A validation engine for trading strategy hypotheses — honest walk-forward evaluation, multi-year timestamped data, config-sourced execution costs, and a documented evidence ladder for capital decisions.

Research phase · Live trading pausedJoin free TelegramAsk about Signal Lab

Recent closed signals

SymbolDirectionStrategyOutcomeR-multiple
IWMlongts_momentumSL hit
IWMlongts_momentumSL hit
IWMlongts_momentumSL hit
IWMlongts_momentumSL hit
GLDlongts_momentumSL hit
ZEC/USDTlongmanual_retrospective_monitorSL hit+2.14R
SOL/USDTlongreviewTP hit+2.37R
AVAX/USDTlongreviewTP hit+2.33R
ZEC/USDTlongreviewSL hit-1.43R
ZEC/USDTlongreviewSL hit-2.48R

How it works

1

Hypothesise

Define a strategy sleeve with clear parameters

2

Validate

Honest rolling walk-forward, train→test, real costs

3

Shadow

Generate signals, log outcomes, no broker orders

4

Promote

Evidence-driven ladder: shadow → micro → normal → scale

Backtested setups — best performer per market

Stocks · sma_slope_acceleration on Communication Services · 15 filled trades

Win rate60.0%
Profit factor5.03
Expectancy+$14.73Per trade

Follow the research

Join the free Telegram channel for project updates, selected signals, and closed-trade outcomes from the validation pipeline.

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Capital-allocation research project, not financial advice. All signal outcomes are from a paused shadow-mode pipeline — no live trading is active. No sizing, balances, or broker details are published.