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.
Recent closed signals
| Symbol | Direction | Strategy | Outcome | R-multiple |
|---|---|---|---|---|
| IWM | long | ts_momentum | SL hit | — |
| IWM | long | ts_momentum | SL hit | — |
| IWM | long | ts_momentum | SL hit | — |
| IWM | long | ts_momentum | SL hit | — |
| GLD | long | ts_momentum | SL hit | — |
| ZEC/USDT | long | manual_retrospective_monitor | SL hit | +2.14R |
| SOL/USDT | long | review | TP hit | +2.37R |
| AVAX/USDT | long | review | TP hit | +2.33R |
| ZEC/USDT | long | review | SL hit | -1.43R |
| ZEC/USDT | long | review | SL hit | -2.48R |
How it works
Hypothesise
Define a strategy sleeve with clear parameters
Validate
Honest rolling walk-forward, train→test, real costs
Shadow
Generate signals, log outcomes, no broker orders
Promote
Evidence-driven ladder: shadow → micro → normal → scale
Backtested setups — best performer per market
Stocks · sma_slope_acceleration on Communication Services · 15 filled trades
Follow the research
Join the free Telegram channel for project updates, selected signals, and closed-trade outcomes from the validation pipeline.
Join free TelegramCapital-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.