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drawdown

Visual meme showing a trophy on a short equity peak, a leverage arm, and a tiny umbrella facing a broad volatility drawdown
Methodology

Risk Management After the AI Rout: Volatility and Bias

Risk management lessons from an AI-fund drawdown: leverage, volatility, short track records, position sizing and decision bias. Includes a precommitted drawdown-review framework.

By KreamEdge, 3 hoursJuly 30, 2026 ago
Backtest 332  -  cumulative returns vs SPX benchmark (linear scale)
backtest

Backtest 332 – Combined systematic 1D portfolio: US equities + world indices (CAGR 35%, MaxDD 27%)

Backtest 332 runs the US-equities book from Backtest 317 and the world-indices book from Backtest 308 on one shared cash account. Over Jan 2016 – May 2026 the blended portfolio compounded at 34.84% CAGR with a 27.13% max drawdown, versus 14.94% and 33.92% for the S&P 500.

By KreamEdge, 2 monthsJune 4, 2026 ago
Backtest 317  -  cumulative returns vs SPX benchmark (linear scale)
backtest

Backtest 317 – Systematic 1D strategy on US equities (CAGR 30%, MaxDD 18%)

Backtest 317 tests a long-only daily-bar systematic strategy on 4,176 US-listed equities from March 2016 to April 2026. It compounds to 30.4% CAGR versus 13.8% for the S&P 500, with a 17.7% max drawdown while holding positions only 78% of the time.

By KreamEdge, 2 monthsMay 30, 2026 ago
Backtest 308  -  cumulative returns vs SPX benchmark (linear scale)
backtest

Backtest 308 – Systematic 1D strategy on world major indices + KOSPI 50 (CAGR 33%, MaxDD 14%)

Backtest 308 tests a long-only daily-bar systematic strategy on 1,006 world major-index constituents, now including KOSPI 50, from February 2016 to April 2026. It compounds to 32.7% CAGR versus 14.2% for the S&P 500, with a 14.36% max drawdown.

By KreamEdge, 2 monthsMay 30, 2026 ago
Forest plot of matched-pair median Δ Sharpe across three position-sizing A/B contrasts on the KreamEdge backtest bench: A→B (sigma flip, n=133) and A→C (claimed reopt, n=131) cluster at zero  -  null effects; C→D (16→11 score-weight pruning + retune, n=97) shows a robust regression at −0.67.
backtest

Position sizing on a real bench: why our A/B can’t cleanly tell fixed from sigma

Comparing fixed fractional, Kelly and sigma-targeting position sizing on a multi-version KreamEdge backtest bench. The bench cannot cleanly isolate a sizing edge.

By KreamEdge, 2 monthsMay 23, 2026 ago
Infographic: Market Regime Filter null result  -  5-step pipeline (data, regime signal, filter, backtest, result) showing the regime filter did not improve performance
backtest

Market-regime filter null result – why an SPX percent-rank gate did not improve our quant backtests

We built a 3-state SPX percent-rank market-regime gate and tested it on 14 systematic quant backtests. None improved. The base rates and the structural reasons why – plus what to try next.

By KreamEdge, 2 monthsMay 18, 2026 ago
Backtest 265  -  cumulative-returns chart (world major indices, 1D)
3

Backtest 265 – Systematic 1D strategy on world major indices (CAGR 28%, MaxDD 16%)

Long-only daily backtest on 956 world major-index constituents (20 Jan 2016 → 3 Oct 2025): CAGR 27.6% vs SPX 13.1%, Max DD -15.55%, Sharpe 0.89, 654 trades. Backtest, not a live signal.

By KreamEdge, 3 monthsMay 10, 2026 ago
backtest

Backtest 92 – Systematic 1D strategy on World indices (CAGR 40%, MaxDD 29%)

Backtest of the systematic World 1D strategy over 7,666 US and European equities on a daily timeframe across roughly 10 years. It produced a 40% CAGR with a 29% max drawdown, 1.79 Sortino and 1.15 Sharpe over 374 trades – backtested, not live, figures.

By KreamEdge, 7 monthsJanuary 7, 2026 ago
Hestia | Developed by ThemeIsle

Disclaimer. Content on KreamEdge is published for informational and educational purposes only. Backtest results and strategy outputs do not constitute personalised investment advice nor an invitation to buy or sell any financial instrument. Past performance is not indicative of future results. Financial markets involve risk of partial or total capital loss. Each reader is solely responsible for their investment decisions and risk management. Full bilingual disclaimer on the community page.

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