The Ledger · Public record

Tech Momentum Rotation

Spec frozenspec 0f22…afd1 verifiedby c7f4d8d0-ea08-41d0-8dc0-9a8f8cf71362Forward-tested 0 days1d

Execution model · Paper trading on end-of-day data: signals are evaluated on the daily close and filled per the strategy's entry price field with the same slippage assumption as backtests. The deployed spec is frozen (hash-verified); the ledger is append-only.

Original backtest (in-sample, 2016 →)

CAGR
37.36%
Total return
+2773%
Max drawdown
26.1%
Sharpe
1.41

Live forward test (out-of-sample, since 2026-08-06)

Forward return
+0.00%
Max drawdown
0.0%
Days live
0
Ledger signals
0

Forward paper equity

Not enough forward history to chart yet — check back after a few trading days.

Signals ledger

append-only — rows can never be edited or deleted

No signals yet — this strategy is waiting for its rules to fire on live end-of-day data. That's the ledger being honest.
Frozen strategy rules (immutable since deployment)
{
  "backtest_timeframe": "1d",
  "description": "Rotates into the strongest-performing tech stocks based on momentum signals.",
  "entry_price_field": "open",
  "entry_rule_long": "close > sma_50 & sma_50 > sma_200",
  "exit_rule": "close < sma_50",
  "indicators": [
    {
      "length": 50,
      "name": "sma_50",
      "source": "close",
      "type": "sma"
    },
    {
      "length": 200,
      "name": "sma_200",
      "source": "close",
      "type": "sma"
    },
    {
      "formula": "close / close[90]",
      "name": "momentum_90",
      "type": "custom"
    }
  ],
  "max_holding_days": 0,
  "max_positions": 5,
  "name": "Tech Momentum Rotation",
  "position_size_mode": "notional_pct",
  "position_size_pct": 20,
  "ranking_field": "momentum_90",
  "stop_loss_pct": 8,
  "symbols": [
    "AAPL",
    "MSFT",
    "NVDA",
    "META",
    "GOOGL",
    "AMZN",
    "AMD",
    "TSLA",
    "AVGO",
    "ORCL"
  ],
  "take_profit_pct": 0
}

Forward testing has no survivorship bias — signals are recorded as they happen, on the symbols the strategy actually watches. Historical simulation for research and education. Not financial advice. Past performance does not predict future results.