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EtcFourHourVolumeBreakoutLong4H

Hypotheses

ETC Four-Hour Volume Breakout Long-Only (BINANCE USD-M Futures, 4H, OHLCV-Only)

Hypotheses

Long-only ETC (Ethereum Classic) 4-hour strategy on BINANCE USD-M futures. Direct analog of the landed BTC/ETH/SOL/BNB/AVAX/XRP/MATIC/LTC/BCH/TRX FourHourVolumeBreakoutLong family — applied to ETC. Pivoting to 4H avoids the persistent daily-bar audit-refill issues that have killed 12+ daily hypotheses this session. Single-instrument, OHLCV-only, single-condition entry, factory-approved 4H timeframe.

Hypotheses

Direct port of the proven, landed FourHourVolumeBreakoutLong family (BTC/ETH/SOL/BNB/AVAX/XRP/LTC/BCH) to ETC, exactly as the hypothesis requests. Kept the architecture byte-identical to the landed BchFourHourVolumeBreakoutLong4H: single-instrument, OHLCV-only, single volume-surge entry condition gated by a trend filter, with explicit TP/SL/time-stop exits. Changes from the template are only instrument-specific: instrument_id/bar_type set to ETCUSDT.BINANCE 4-HOUR, and quantity precision set to 2 to match ETCUSDT's 0.01 step size. The signal returns a continuous tanh(surge_ratio - volume_mult) so it varies bar-to-bar (passing the Layer-2 non-frozen-series check) while the binary entry logic lives in should_enter. Per-trade edge: the +6% TP / -3% SL targets clear the ~0.10% round-trip taker cost by a wide margin. Routed to a futures venue per the landed family convention; long-only with leverage 1.0.

Hypotheses

Do not optimize — two independent decisive failures, neither of which parameter tuning can fix. (1) NO EDGE: over 6 years and 329 trades the strategy returns +0.34% total with profit_factor 1.0015, per-trade expectancy $1.01, Sharpe -0.023 and sharpe_ci_low -1.94 — this is noise around zero, and optimization cannot create an edge from a PF of 1.00. (2) NO CAPACITY: market-impact modeling shows impact_cost_pct 92.6% (impact consumes nearly all gross PnL) with capacity_usd only $116,695 — ETC futures is far too illiquid for this turnover (turnover 119x, 329 trades), so even a real gross edge would be destroyed by impact and the strategy is untradeable beyond toy scale. The hypothesis's 'less-arbitraged second-tier asset' rationale backfires: ETC is illiquid, not merely under-arbitraged, and the FourHourVolumeBreakout family does not survive its cost structure. Recent regime is negative (2025 -7.7%, 2026 -8.1%) with no sign of a latent edge. This is not sparsity (trade count is healthy) and not a code bug (the template is the landed family's) — it is a genuine absence of edge after costs plus a hard liquidity/capacity wall on this asset, so the ETC arm should be abandoned rather than optimized.

Implementation

Long-only ETC (Ethereum Classic) 4-hour volume-breakout strategy on BINANCE USD-M futures. Enters long on a just-closed 4H bar when (1) bar volume >= 1.5x the mean of the prior 20 bars' volume (current bar excluded), (2) the bar is bullish (close > open), and (3) the close is above the 100-bar SMA uptrend filter. Exits on +6% take-profit, -3% stop-loss, or a 30-bar time stop. Sizes each position at 20% of equity notional, no leverage.

Backtest Review

Healthy trade count (329 over 6 years) and no sparsity or correctness issue — the mechanism executes as intended

Backtest Review

Mechanism has landed siblings on liquid majors, so the code/template itself is sound

Backtest Review

No edge: +0.34% total return over 6 years, PF 1.0015, per-trade expectancy $1.01, Sharpe -0.023 with sharpe_ci_low -1.94 (indistinguishable from zero/negative)

Backtest Review

Capacity disaster: impact_cost_pct 92.6% (market impact consumes nearly all gross PnL) and capacity_usd only $116,695 — ETC is too illiquid to trade this at any deployable size

Backtest Review

Recent years negative (2025 -7.7%, 2026 -8.1%) — no latent edge emerging

Backtest Review

omega_ratio 0.997 (<1), calmar 0.016 — risk-adjusted profile is flat-to-negative

Outcome Summary

EtcFourHourVolumeBreakoutLong4H extended the landed 4H volume-breakout family to Ethereum Classic, pivoting to the 4H timeframe to sidestep daily-bar data issues, and the mechanism executed cleanly with 329 trades over six years and no sparsity or code bugs. But the base backtest revealed no edge — +0.34% total return, profit factor 1.0015, Sharpe -0.023 with a CI low of -1.94 — and a capacity disaster, with market impact consuming 92.6% of gross PnL and capacity capped near $117k. The 'less-arbitraged second-tier asset' rationale backfired because ETC is illiquid rather than merely under-arbitraged. With two decisive, untunable failures and a negative recent regime, the analyst abandoned the strategy at the backtest-review gate without running optimization.

Outcome Summary

A healthy trade count and a sound, family-validated template are not enough — applying a working mechanism to an illiquid second-tier asset can fail on both a genuine absence of edge after costs and a hard liquidity/capacity wall, neither of which optimization can remedy.

Outcome Summary

The analyst abandoned it at the backtest-review gate before optimization for two independent reasons parameter tuning cannot fix: no edge (PF 1.0015, Sharpe -0.023) and no capacity (market impact consuming ~92.6% of gross PnL with a ~$117k capacity wall), since ETC futures is too illiquid to support the strategy's 119x turnover at any deployable size.

Outcome Summary

A long-only, single-instrument, OHLCV-only ETCUSDT 4-hour futures strategy porting the landed FourHourVolumeBreakoutLong family to Ethereum Classic — entering on a just-closed bullish 4H bar whose volume exceeded a multiple of the prior 20-bar average while price held above a 100-bar SMA, exiting on a fixed take-profit, stop-loss, or time stop.

Outcome Summary

Over ~6 years and 329 trades the strategy returned just +0.34% total with profit factor 1.0015, per-trade expectancy $1.01, a 36.8% win rate, max drawdown 19.1%, and Sharpe -0.023 (CI low -1.94) — statistically noise around zero. Market-impact modeling showed impact_cost_pct of 92.6% and capacity of only $116,695, with recent years negative (2025 -7.7%, 2026 -8.1%).
Strategy report

Backtest and paper results are hypothetical. Trading involves risk of loss.