LTC Dual-Timeframe Momentum Confluence, Long-Short (Single-Instrument LTCUSDT.BINANCE USD-M, 4H Primary Aligned With the 1D Trend, Flat on Disagreement, ATR-Trailing Exit, 3-Parameter)

Hypothesis

Negative expectancy on a decisive 475-trade / 2432-day sample: avg_trade_return_pct -0.247% (below zero, under the 0.15% Binance USD-M floor), profit_factor 0.843 (<1), total_return -22.6%, Sharpe -0.206 with CI straddling zero, expectancy -$71.6/trade. Commission is only 5.25% of gross, so the signal is gross-negative, not fee-fragile — this cannot be optimized above costs. The strategy LOSES in all three vol terciles (calm/normal/stressed) and in 4 of the last 5 years, falsifying the 'LTC is a low-noise major like BTC/ETH' premise; it is the exact port-to-alt failure the graveyard shows (XRP/LINK/SOL/BCH/DOT), and QA's edge concern is borne out on full history. Not worth 2 hours of optimization. abandon_class=negative_expectancy (premise_falsified).

Implementation

Long-short dual-timeframe momentum-confluence trend follower on LTCUSDT.BINANCE (USD-M perpetual). The fast leg reads 4H bars as an ATR-normalised EMA spread ((EMA_fast - EMA_slow)/ATR, computed incrementally every bar); the slow leg reads 1-DAY LTC bars and takes the sign of the 18-day return. It goes LONG only when both are positive, SHORT only when both are negative, and stays FLAT on any disagreement. Exits on an ATR trailing stop (give-back of atr_mult x entry ATR from the best close since entry), on the daily trend flipping against the position, or on the 4H spread flipping against it. Sizing is risk-first: equity * risk_pct / (atr_mult * ATR), capped at max_notional_frac * equity * leverage (2x) so the requested leverage is actually consumed and per-trade risk stays ~1.3% of equity regardless of the equity path.

Verification Results

Either restrict _param_bounds to the 3 named tunables (fixing the structural params at their defaults) to honor the survivor-complexity constraint, or update the hypothesis to acknowledge the 7-param surface. Watch PBO / deflated Sharpe at the holdout gate.

The hypothesis states the strategy is 'Kept to 3 parameters (fast_ema, ema_ratio, atr_mult)' to match the survivor class's complexity and avoid the overfitting that killed alt ports. However _param_bounds declares 7 tunable ranges (adds daily_lookback, atr_period, risk_pct, max_notional_frac), so the optimizer will search a 7-dimensional space. The structure (which exits/stops exist) matches the hypothesis exactly, so this is not a mechanism mismatch — but the wider search surface is at odds with the stated overfit-avoidance rationale.

Two advisory concerns for the analyst, neither blocking. (1) The sandbox smoke test is negative (total_return -22.8%, Sharpe -0.22, PF 0.89, avg_trade_return_pct -0.257% over 471 trades) and, unlike the survivors this is cloned from, LTC loses across ALL three vol terciles (calm -14.9%, normal -6.6%, stressed -10.5%) rather than earning in a specific regime — so the 'LTC is a low-noise major like BTC/ETH' premise is not yet supported by even the unoptimized draw. This is a single unoptimized parameter set over a truncated window, so it does not block, but it is the exact port-to-alt failure signature (XRP/LINK/SOL/BCH/DOT all died overfit/fee_edge). (2) The hypothesis pre-registers a 3-parameter surface to match survivor complexity and avoid overfitting, but _param_bounds exposes 7 optimizable parameters (fast_ema, ema_ratio, atr_mult PLUS daily_lookback, atr_period, risk_pct, max_notional_frac). The extra degrees of freedom widen the search space the thesis explicitly wanted narrow; worth watching for PBO/deflated-Sharpe overfit at the optimization/holdout gate.

Backtest Review

Sharpe

-0.21

Total return

-22.63%

Max drawdown

44.82%

Trades

475

Win rate

29.5%

Profit factor

0.84

Reliable, decisive sample: 475 trades over 2432 days (metrics_reliable=true); trades match the hypothesized dual-TF confluence mechanism (263 long / 212 short, entry_signaled 475 = entries_submitted 475, no drops).

Code is clean and faithfully implements the survivor recipe (3 core tunables, ATR-trailing exit, risk-first sizing).

Negative expectancy: profit_factor 0.843 (<1), total_return -22.6%, avg_trade_return_pct -0.247% (below ZERO and far under the 0.15% Binance USD-M fee floor), expectancy -$71.6/trade.

Sharpe -0.206 with CI [-0.96, 0.53] straddling zero; Sortino -0.25; win_rate 0.295.

Loses across ALL vol regimes (calm -4.7%, normal -16.8%, stressed -7.4%) and in 4 of last 5 years (2022 -13.7%, 2023 -7.3%, 2024 -15.4%, 2025 -17.7%) — no regime where the edge exists.

Commission only 5.25% of gross, so this is a gross-negative signal, not fee-fragility — the LTC 'low-noise major' premise is falsified; the port-to-alt failure signature (XRP/LINK/SOL/BCH/DOT) repeats.

max_drawdown 44.8%, recovery_factor -0.68.

Outcome Summary

Abandoned at the pre-optimization backtest-review gate for negative expectancy (-$71.6/trade) across all vol regimes and 4 of 5 recent years — no edge to optimize above costs.

Port the factory's only surviving mechanism—a dual-timeframe momentum-confluence trend follower (4H primary aligned with the 1D trend, flat on disagreement, ATR-trailing exit, 3 tunables)—onto LTCUSDT.BINANCE, betting LTC is a low-noise major like the promoted BTC/ETH/ADA.

Over 475 trades / 2432 days it was gross-negative: -22.6% return, Sharpe -0.206, PF 0.843, win rate 29.5%, avg_trade_return_pct -0.247%, 44.8% max drawdown; commission was only 5.25% of gross.