Independent Model Validation: Methods, Tests, and a Practical Checklist
https://beefed.ai/en/independent-model-validation-checklist
#ModelValidation #IndependentValidation #Backtesting #StressTesting #SensitivityAnalysis
@beefedai.bsky.social
@beefedai.bsky.socialIndependent Model Validation: Methods, Tests, and a Practical Checklist
https://beefed.ai/en/independent-model-validation-checklist
#ModelValidation #IndependentValidation #Backtesting #StressTesting #SensitivityAnalysis
@tradingstrategies.workThat backtest looks great. Is it real, or one lucky cell?
→ the robustness field runs the rule across neighbouring settings
→ a real edge holds up next door, a lucky one does not
Elite, free for 30 days, if you register by end of October.
@tradingstrategies.work10/10
Shown a multi-day-candle result? Ask:
→ which alignment
→ which window
→ how many trades
Under ~12 pp CAGR, 1d/2d/3d are one block, not a ranking.
tradingstrategies.work/dashboard/cr...
Not investment advice, not a forecast.
Study the Past — Improve your Future 🥋
#backtesting
@tradingstrategies.work1/10
The parameter you never set.
If your indicator runs on 2-day or 3-day candles, you never chose which calendar day the candle starts on. The grid is anchored to the Unix epoch.
That choice alone moves CAGR by 6.66 pp on average.
@tradingstrategies.workV6 — Understanding the Arena Score
Three checks before a result deserves trust: benchmark, costs, sample size. The Arena Score weighs them into one number and shows its parts. How to read it, and what it cannot tell you.
@tradingstrategies.workDCA or lump sum? That is a question about history, not opinion.
→ run both on Bitcoin back to 2010
→ same window, same fees, side by side
→ see the drawdown you would have sat through
Free Elite month for accounts registered by end of October.
@tradingstrategies.work10/10
Before a backtest moves money:
→ universe first: BTC only, or alts plus strategy
→ regime gate before indicator
→ alts against BTC
→ neighbourhood, fees, drawdown
tradingstrategies.work/blog/strateg...
Study the Past — Improve your Future 🥋
@tradingstrategies.work1/10
You tested a strategy on a coin. It lost 10 % a year. So it's no good?
Read the line under it: what the coin did with no strategy at all. Across 197,435 backtests on 653 crypto pairs, that second line is the whole story.
@tradingstrategies.workV5 — Trade count and sample size
Flip a coin ten times and seven heads is not unusual. A strategy with a handful of trades works the same way. Check the trade count before you trust a backtest: where it hides, when the platform warns.
@tradingstrategies.workV4 — Reading the result
Total return looks great on screen. Which part survives costs, and which year carried the whole gain? The result panel line by line: the figures, the year table, net of costs.
@tradegrub.bsky.socialMost traders stack 5+ indicators and wonder why backtests crush live. The real problem: each indicator adds noise unless it answers a specific question. Build layers that filter, not confirm. Test each one independently first. Remove what doesn't reduce drawdown. #trading #backtesting #indicators
@tradegrub.bsky.socialWalk-forward optimization isn't magic. You train on past data, test on future data, then shift the window forward and repeat. Most traders treat it like gospel. #Backtesting #AlgoTrading #TradingStrategy
@tradingstrategies.work9/9
After Friday 185k contracts roll off. Next:
→ 30 Oct monthly 101,103, max pain 73,000
→ 25 Dec quarterly 118,043, max pain 75,000
Watch whether the strike chases spot.
tradingstrategies.work/dashboard/bi...
Study the Past — Improve your Future 🥋 #backtesting
@tradingstrategies.workSign up before the end of October and the first month is Elite. Free.
→ no card, no subscription
→ every strategy, every pair, every interval
→ price history back to 2010
→ after 30 days the account drops back to Free by itself
@tradingstrategies.workV3 — Measure against buy and hold
A strategy that made money over years sounds like a win. Compared with what? Just holding the coin is the benchmark. How a rule is measured against it, and why the entry date changes the verdict.
@tradingstrategies.work10/10
Same question in a backtest.
An average return doesn't say if it came from 3 trades or 30, or how deep and long the drawdowns ran.
Depth and duration decide what you can hold.
tradingstrategies.work/blog/k-shape...
Study the Past — Improve your Future 🥋 #backtesting
@tradingstrategies.work10/10
Compute f: levels below entry ÷ all. If leverage × f ≤ 1, price can't liquidate you. Then watch the margin drawdown.
tradingstrategies.work/blog/5x-grid...
Not investment advice, not a forecast.
Study the Past — Improve your Future 🥋
#backtesting
@tradingstrategies.work1/10
Your 5× grid bot almost never gets liquidated. That is arithmetic, not safety.
35 windows per asset since 2017, long grid: liquidated once at 5× on BTC. Never at 2× or 3×. Never on ETH.
The leverage went somewhere else.
@tradegrub.bsky.socialYour backtest looks perfect in a spreadsheet. Then live trading melts it. Three culprits: survivorship bias (only testing winners), lookahead bias (peeking at future data by accident), and ignoring slippage and commissions. They're subtle. #AlgoTrading #Backtesting #TradingStrategy
@tradingstrategies.work8/8
Three to watch, no market caps: weekly x402 dollars, Akash lease revenue, subnet revenue vs emissions.
The May map: tradingstrategies.work/blog/ai-cryp...
Not investment advice, not a forecast.
Study the Past — Improve your Future 🥋
#backtesting