G-255 turns the world's largest balance sheets into daily tradeable alpha.

The G-255 systematic trading model can be adapted as a risk management tool for any portfolio or fund by mapping its holdings (bonds or equities) to the model's 255 issuers and aggregating daily long/short indicators into customized metrics, as demonstrated in the October 4, 2025, analysis of the LQD IG ETF (which tracks investment-grade corporate bonds). For example, the G-255 model calculates weighted exposure to "short" or "avoid" indicators across sectors (e.g., 42.03% of LQD's bonds in "Avoid" on October 3, up from prior months, signaling heightened risk in areas like TMT or Industrials). The model also tracks MoM changes in re-levering/de-levering (e.g., 51.25% re-levering in LQD, indicating balance sheet stress). It can also derive portfolio-level scores like indicator density (% of holdings with short signals) or sector skew (e.g., BBB TMT at 3.24% of LQD with high short exposure). This enables dynamic risk overlays—such as hedging overvalued/re-levering segments, setting stop-loss thresholds based on indicator thresholds, or rebalancing to favor "long" de-levering issuers. To sum it up, the G-255 provides quantitative, data-driven insights for volatility control, drawdown mitigation, and alpha preservation in multi-asset strategies.

SYSTEMATIC CREDIT AND EQUITY TRADING– is a rule-based approach to investing in fixed income markets—specifically corporate bonds—that uses a series of algorithms rather than traditional fundamental analysis to make decisions. It uses a purely systematic, stochastic absolute value model with zero human input: signals derive solely from each issuer's own 52-week public pricing history (plus earnings and balance sheet/leverage data). No peer comparisons, forecasts, macro factors, or sentiment analysis. This issuer-isolated approach detects extreme trading levels vs. each name's historic norms, covering ~85% of daily TRACE-reported USD corporate bond trades (95% IG, 48% HY). Back-tested tracking accuracy: 97.5%. The G-255 trading model is a fully systematic, cross asset trading model created by Larry Domash to deliver consistent, transparent, and repeatable trade indicators across global credit and equity markets. The model operates on a simple principle: use only what every investor can access – government-mandated financial disclosures and observable market prices – and transform that information through a proprietary framework that reveals valuation and trading opportunities with unmatched precision. The automated model links equity (growth, volatility, momentum) and bond (credit spreads, debt dynamics) data from each issuer's history, spotting divergences (e.g., equity momentum vs. spread moves) to generate objective long/short indicators across both asset classes. The G-255 systematic trading model uses only publicly available information and does not forecast. It simply reacts to what companies actually report: cash flow, leverage, revenue momentum, and capital returns.

The G-255 suite of reports and issuer coverage encompasses daily long/short indicators, earnings recaps, new issue summaries, and performance tracking across 255 major corporate issuers. The G-255 is the only trading system in the world that combines all the largest publicly traded equities and corporate debt in a unified framework. At its core, G-255 is purely systematic and has no human characteristics whatsoever: it does not call in sick, read headlines, take time off, or selectively focus only on issuers that happen to be of interest at the moment. The model runs every day, automatically processing publicly available data producing higher Sharpe ratios through precise exit rules (fair value/avoid levels) and unique cross-asset integration that captures capital structure alpha missed by siloed approaches. Time & Cost Efficiency G-255 automates what would take a team of analysts' weeks (e.g., daily MoM tracking, 233 new issues in Feb 2026), providing instant recaps and summaries while requiring no salaries/benefits for analyst teams. Subscription-based access uses 60% less capital than buy-and-hold strategies (per reports) and delivers alpha in volatile regimes at lower overhead. Making G-255 ideal for institutional funds seeking scalable, unbiased edge without resource drain.