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▸ Strategy Research Lab · Report R-2026 · v3.1

What actually works in trading.

We tested 40 classical strategies across 198700 signals and 128 instruments. Walk-forward only. No curve fits. Here is what survived out-of-sample.

Backtests run
198,700
ACROSS 40 STRATEGIES
Instruments
128
STOCKS, FOREX, CRYPTO, COMMODITIES
Strategies tested
40
TECHNICAL + MULTI-INDICATOR
Verified edge
5
PROFIT FACTOR > 1.3, N > 1,000
Myth busted
9
PROFIT FACTOR < 0.9 AT SCALE
Data window
2 yr
ROLLING WALK-FORWARD
▸ §1 Strategy performance
The 22 strategies, ranked.
Win (PF > 1.3) Neutral Myth busted
▸ §2 Indicator deep-dives
How each indicator actually performs.
▸ §3 Asset-class comparison
Where the edge lives.
▸ §4 How we test
Methodology.
01
Walk-forward only
Strategies train on one window, evaluate on the next. No look-ahead. The model has never seen the data it’s tested on.
02
Cost-aware labelling
Win rates are computed after realistic transaction costs per asset class. Signals that only work at zero fees are marked as myths.
03
Statistical threshold
A “verified edge” requires profit factor > 1.3 across more than 1,000 trades. Small samples aren’t evidence, they’re anecdotes.
04
Published, not pitched
Every result — winners and losers alike — is published. Strategies we hoped would work but didn’t are still listed here for honesty.
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See the live ledger. Every signal, every outcome, every day.
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All results are general, impersonal market research · not personalized investment advice.

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