Frequently Asked Questions

Statistically, 89.8% of all historical cohorts experienced a drawdown below their starting capital shortly after investing. There is a 32.5% chance of experiencing a 10%+ decline, and the worst entry date in 30 years (July 20, 1998) suffered a -35.83% drop before recovering to par within 154 days.

Because Evergreen Hydra concentrates capital into the 4 best companies for our thesis in the S&P 500 to capture 300% to 1,000%+ secular compounders, absorbing intermediate 15% to 25% volatility is mathematically necessary. While 1-month holding periods carry a 37.9% chance of negative return, 100% of all 5-year rolling cohorts in 30 years were profitable (zero losing cohorts, minimum return +94.6%, average return +497.0%).

Read the full 30-year Investor Expectations & Drawdown Guide

The Evergreen Hydra Strategy is an institutional-grade, quantitative execution model engineered to deliver compounding returns across multi-decade market cycles. It continuously evaluates high-liquidity market leaders through a proprietary multi-factor scoring engine, dynamically allocating concentrated capital into the four highest-conviction leaders while enforcing automated macro-level risk mitigation protocols.
Read Full Whitepaper: Core Premise & Architecture →

Extensive 30-year quantitative simulations across 3, 4, 5, and 6-position models identified exactly 4 slots as the mathematical equilibrium point between risk mitigation and alpha generation:

• Why Not 3 Positions? A 3-slot model concentrates ~33.3% of capital into each stock, exposing the fund to excessive single-asset overnight gap risk and increasing maximum historical drawdown by over 11% (from -44.47% to -55.63%).
• Why Not 5 or 6 Positions? In equity markets, the very best companies with the strongest conviction and thesis alignment clearly separate from the rest of the pack. Adding 5th and 6th positions dilutes capital into secondary ideas, penalizing compound growth by over 2.2% to 2.3% per year.
• The 4-Slot Sweet Spot: A 4-position portfolio caps single-stock exposure at ~25%—ensuring no individual stop-loss exit harms more than ~2.5% of total capital—while capturing the full compounding power of elite market leaders (generating a 41.34% annualized CAGR and an elite 1.11 Sharpe ratio, far outperforming 3, 5, and 6-position models).

Read Full Study: 4-Slot Optimal Portfolio Architecture →

In active Risk-ON market regimes, the strategy targets 100.0% equity investment and does not intentionally hold cash reserves. Any unallocated cash balance shown in daily checklists is solely the byproduct of whole-share integer rounding on accounts with smaller capital allocations ($10,000):

• High Share Prices: When active leaders (such as DELL, VLO, HUM, AAPL) trade between $340 and $570+ per share, buying just one additional share in each slot would cause the total purchase cost to exceed account capital.
• Account Scale: As portfolio capital scales ($50k, $100k, $1M+), this rounding residue rapidly approaches zero (< 0.1% to 0.5% cash).
• Fractional Shares: If your broker supports fractional share trading (e.g. Fidelity, Schwab, Interactive Brokers), you can deploy 100% of your dollars with $0.00 cash drag.

If an investor is deploying significant capital (e.g., $50,000 or $100,000), our 30-year empirical study highlights a clear trade-off between maximizing long-term upside and eliminating initial timing risk:

• The Threat of a "Bad Month" (e.g., Feb 2026): When an entry coincides with an immediate monthly pull-back (-3.97% in Feb 2026), deploying 50% on Day 1 and 50% 30 days later allowed investors to buy the March dip at discounted share prices, delivering +$1,273.83 in net alpha (+9.48% vs. +6.93%) through October 2026.
• 100% Win Rate in Down Months: Across 358 rolling 1-year windows from 1996 to 2026, whenever Month 1 was negative, the 2-Month 50/50 Staged Entry beat Lump Sum 100% of the time, generating an average +$1,790 in excess profit per $50,000 invested while softening peak drawdown.
• When to DCA based on the 200-SMA:
  • Always DCA if SPY is within 0% to +3% of the 200-SMA: 60.9% of historical tests in this "Danger Zone" broke below the 200-SMA within 60 days. Staging across 2 months shields half your principal from buying right before a defensive cash rotation.
  • Always DCA if SPY is extended > 10% above the 200-SMA: Intra-month pullback probability surges to 74.7% due to mean reversion.
  • Deploy 100% Lump Sum if SPY is +3% to +6% above the 200-SMA: This "Ideal Runway" provides the highest conviction (73.0% Lump Sum win rate).

Yes. In any authentic 30+ year quantitative track record, periodic tracking error and regime divergence are mathematical realities. Historically, the S&P 500 has beaten Evergreen Hydra during:

• Narrow index-weighted rallies (e.g., 2021 speculative liquidity where breadth deteriorated before index top).
• Choppy rangebound consolidation years (e.g., 2006, 2025) where frequent false breakouts create whipsaws.
• Early cyclical regime transitions (e.g., 1997) before top-tier leaders separate from index noise.

Read Full Audit: When the S&P 500 Outperforms →

Systematic high-conviction strategies capture the absolute meat of generational secular moves by identifying and owning the single best companies. To participate in 200%–500% compounding runs without selling premature tops, our model must give these premier leaders enough breathing room to withstand standard institutional pullbacks.

Exiting on every minor dip causes catastrophic premature liquidation of generational compounders. By absorbing standard rotational drawdowns during intermediate corrections, the strategy allows winners to run into multi-bagger territory. Furthermore, when broad macroeconomic conditions deteriorate below critical defensive thresholds, our Evergreen Hydra Risk-OFF cash bunker triggers automatically to protect long-term capital.
Read Full Report: Unrealized Profit Drawdowns & Secular Runs →

This is where the strategy proves its ultimate structural worth to wealth preservation:

• 2000–2002 Dot-Com Bust: The S&P 500 lost approximately -49% over three consecutive agonizing years (-0.9% in 2000, -11.2% in 2001, -24.0% in 2002). Evergreen Hydra gained +9.8% in 2000 and limited overall drawdown, preserving capital to explode +51.7% in 2003 and +40.6% in 2004.
• 2008 Great Financial Crisis: The S&P 500 crashed -36.0% (and lost over 56% peak-to-trough). Evergreen Hydra decisively rotated into defensive cash reserves, limiting the annual loss to -16.0% and protecting investor principals.

Read Full Audit: Surviving Generational Crashes & Crisis Alpha →

Evergreen Hydra features an automated 31-day Wash Sale tracking and compliance ledger designed for taxable accounts. When a position is liquidated at a loss, the engine tags the security to prevent repurchase within the statutory 30-day window, maintaining full compliance with IRS Section 1091.
Read Full Specification: Wash Sale Rule & Tax Optimization →

The terminal utilizes an enterprise background synchronization engine that pulls live market quotes, recomputes proprietary multi-factor thesis rankings in real time, and refreshes the live executive HUD rankings continuously throughout active market hours.
Read Technical Documentation: Real-Time Sync Pipeline →

This difference comes down to two different industry standards for measuring daily performance:

• Standard Financial Portals (Close-to-Close): Consumer websites calculate returns by comparing the current price to yesterday's 4:00 PM closing price. This 24-hour return includes the overnight gap caused by pre-market earnings and futures trading.
• Intraday Trading Session Drift (Open-to-Close): Execution systems often track performance from today's 9:30 AM opening bell to measure institutional buying and price action during regular trading hours, excluding overnight gaps.

Read Full Guide: Intraday Session vs Close-to-Close Calculations →