Backtesting
Saved portfolios
General
Details
Planner
Forward
← HOME
STRATIQ
Strategy Analysis Platform · IMPULSE
DRAG YOUR .XLSX FILES HERE
or use the button below · parsing runs in your browser, nothing is uploaded
+ ADD XLSX FILES
▶ ANALYZE
QUEUED STRATEGIES
clear queue
TradingView → Strategy Tester → Performance Summary → ↓ → Save as .xlsx
Markets with calibrated costs: BTC · ETH · SOL · HYPE · US100 · US500
· GOLD · SILVER · WTI · BRENT · NATGAS · EUR · JPY · GBP
(others use a default 6 bps slippage)
Recognized exchanges & symbol prefixes: HYPERLIQUID · HIP-3 (xyz) · CAPITALCOM
· BINANCE · INDEX
English TradingView exports only — other export languages will not parse
build 2026-08-27 16:05 · e7c418
Forward — what happened after the save
UPDATE PORTFOLIO
SEND UPDATE
CLOSE
Frozen portfolios — the only test that cannot be gamed
A freeze records composition, weights and a fingerprint of every strategy's trades.
Upload fresh xlsx exports of the same strategies at any time — everything after the
freeze date is forward data nobody selected. Verdict in 3–6 months, not one.
loading…
Clear
Add files
▶ Run
Holdout 12m: ON
Save portfolio
0 strategies
build 2026-08-27 16:05 · e7c418
Equity curve
FUNDING ON
FUNDING OFF
Strategies
What the book is exposed to
Activity heatmap — when each strategy earns
green = profitable month · red = losing month · hover for value
Monthly PnL — all strategies
look for months where strategies profit at different times
Quarterly result — click a bar for the breakdown
Analysis — what your library is telling you
Generated from your data by fixed rules. Every line states the number behind it.
Holdout — the last 12 months were never used
Score calibration — does the number predict anything?
Walk-forward — does a good quarter predict the next one?
Is the selection procedure itself overfitting?
Planner — turning the book into position sizes
EQUAL
25% KELLY
50% KELLY
100% KELLY
ACCOUNT USD
FLOOR FOR ZEROED
none — trust Kelly
2% each
5% each
Allocation per strategy
Position sizing side by side
What a bad run looks like
Distribution of outcomes — one path is not evidence
Stress test — is the result an edge or a few lucky events?
Remove the best trades and recount
Behaviour on the worst 10% of portfolio days
Data integrity — what could quietly be wrong
Duplicate trade sets
Backtest settings audit
Shared mechanisms across the book
Correlation of daily returns
Pair behaviour
Best pair synergies — % of months where at least one earns
Pairs losing simultaneously — portfolio risk