Trade Pattern V1 — Buy-and-Hold with Quarterly Rebalancing

Status: Proposed for Phase 2 paper trading validation. Derived from: Phase 1 research synthesis + walk-forward factor validation (2026-05-07).

Executive Summary

After testing 700+ strategy configurations and confirming that all price-based signals fail walk-forward validation, the optimal pattern is simple: full universe equal-weight with quarterly rebalancing. This beats hand-picked BH by +4.9pp over 25 quarters (2019-2026) and adds +20.2pp through dispersion capture on concentrated portfolios.

Entry Rules

Initial Entry

  • Universe: All tickers in watchlist (19 ASX large-caps as of May 2026)
  • Position sizing: Equal-weight (1/N per ticker, e.g. 2K portfolio with 19 tickers)
  • Timing: Any day — no mechanical price timing. ASX compounders spend 60-70% of time in uptrend; missing a buy day costs more than waiting for a “better entry”.

Re-addition (after sell/rebalance)

  • Re-enter sold tickers at next scheduled rebalance
  • No tactical re-entry on dips — mean-reversion fails (-58pp vs BH on walk-forward)

Exit Rules

Scheduled Exit (Rebalancing)

Fee-aware frequency tiers (determined by capital size, per May 2026 fee drag analysis):

Capital rangeFrequencyRationale
5KAnnual + >2% drift thresholdQuarterly = 102% of starting capital/year in fees (38 trades × $13.40 × 4)
20KSemi-annual or quarterly + drift filterFees manageable; semi-annual reduces fee drag ~30% vs quarterly
$50K+Full quarterly rebalancing viableFee impact <1% of capital annually; dispersion capture justifies cost

For current portfolio (13.40) doesn’t exceed expected misallocation cost.

  • Method: Sell overweight positions, buy underweight positions to restore equal weight
  • Deviation threshold: Rebalance only when max position drift > 2% of target weight. This avoids unnecessary fee drag from small rebalances that cost more than the adjustment worth.

Stop-Loss

  • None. No circuit breakers or trailing stops. Phase 1 research shows circuit breakers kill returns (-149pp for vol-target CB at -5%). ASX compounders recover from dips — holding through drawdowns is the strategy.

Take-Profit

  • None. No price-based take-profit targets. Letting winners run is the core mechanism. Taking profits early on 30% gains leaves money on the table in a market where top performers compound 2-5x over multi-year periods.

Signal Filters (Fee-Awareness)

Only skip rebalance moves where:

  1. Position drift < 2% of target weight (below threshold — no material misallocation)
  2. Round-trip fee (3.50 sell-deposit = $13.40 on IBKR) exceeds 1% of position value being adjusted

For active strategies (if ever tested beyond BH):

  • Skip signals where expected gain < 3x round-trip cost
  • For 400 to justify $13.40 fee (1% threshold)
  • Confirmed by RSI fee-filter analysis: active strategies need $50K+ capital on ASX

Position Constraints

ParameterValueRationale
Max position size5% of portfolio (1/20 for 19-ticker universe)Equal-weight default
Max total exposure100%Fully invested always
Cash buffer0%Time-in-cash kills returns on compounders
LeverageNonePhase 1 Kelly sizing fails OOS (+52pp IS → -8.3pp OOS)

Expected Performance (Walk-Forward Validated)

MetricValueSource
Return vs BH+4.9pp on full universe EWWalk-forward 2019-2026, 25 quarters
Fee drag (quarterly)~3.7% on 99/quarter = $396/year)Simulation, realistic brokerage
Fee drag (annual)~1.0% on 248/year)Annual rebalance + drift filter only
Win rateN/A (fully invested always)
Sharpe ratioInherited from BH baselineNo active timing = same risk profile

Note: Fee drag figures reflect IBKR Australia rates (3.50 sell-deposit = $13.40 round-trip). At 19 tickers, annual rebalance requires 19 trades (not 38), cutting fees by ~67% vs quarterly.

Today’s Watchlist Application

Applying V1 pattern to current watchlist:

TickerPriceTarget WeightEntry ActionNotes
BHP.AX$58.231/NHoldHighest factor score (0.878), Tier 1 tariff exposure
RIO.AX$178.461/NHoldMining leader, factor score 0.735
TLS.AX$5.381/NHoldTop technical score (0.925)
MQG.AX$241.841/NHoldAbove MA200 + bullish crossover
FMG.AX$21.201/NHoldLowest PE (12.5), strong momentum

All watchlist tickers: equal-weight entry, quarterly rebalance, no mechanical exits.

What This Pattern Does NOT Do

  • Does NOT use price signals (SMA crossover, RSI, MACD) — all fail walk-forward
  • Does NOT size by Kelly or volatility — OOS performance degrades to random
  • Does NOT circuit-break on drawdowns — -149pp penalty confirmed
  • Does NOT screen by momentum — -68pp vs BH over 25 quarters
  • Does NOT buy-the-dip (contrarian) — -58pp vs BH

V2 Update: Dividend Reinvestment Impact (2026-05-23)

Question answered: “Evaluate dividend reinvestment impact on total return”

After testing 13 ASX large-caps over 11.4 years (2015-2026), DRIP-style dividend reinvestment adds a substantial compounding benefit:

MetricValue
Average BH price return+369.3%
Average DRIP total return+854.8%
DRIP edge over BH price-only+485pp
Avg extra shares via compounding+69.3%

Key findings:

  1. Mining stocks dominate the effect — FMG.AX (+2014% BH, DRIP adds +174% more shares), BHP.AX (+413%, +103%), RIO.AX (+557%, +102%)
  2. Low-yield compounders benefit less — CSL.AX only +13% extra shares from reinvestment, REA.AX only +10%
  3. Transaction costs negligible — avg fees AUD $227/ticker over 11 years vs hundreds of dollars in additional returns

Implication: The V1 strategy should be updated to include DRIP mechanics in Phase 2 execution. Dividend reinvestment is a “free” ~485pp return booster on ASX compounders that requires no active management beyond automatic reinvestment on ex-dates.

Implementation Notes

  • CronJob for daily price fetch → run_paper_trading.py --mode simulate (ready, needs deploy)
  • Fee-awareness filter in signal_engine.py (commit 5162a35)
  • Quarterly rebalance logic: track initial weights, trigger on >2% drift or 90-day interval
  • Paper trading validation blocked on ibkr-creds restoration

Next Steps for V2

  1. Validate full-universe equal-weight in paper trading when ibkr-creds restored
  2. Test quarterly rebalancing vs continuous rebalancing (fee drag sensitivity)
  3. Explore ROE factor integration if historical fundamental data becomes available
  4. Evaluate dividend reinvestment impact on total return