Strategies
Hyperliquid BCH–LTC Relative Shock Exhaustion: Hedged Multi-Day Convergence
Outcome: Abandoned
HyperliquidBchLtcShockExhaustion
Outcome Summary
HyperliquidBchLtcShockExhaustion tested whether large, volume-backed relative moves between BCH and LTC partly reverse once they stop accelerating, using equal-dollar long/short pairs on Hyperliquid 4h bars. Its first backtest returned +4.58% with Sharpe 0.37 and an average trade return of 0.164%, just above the 0.15% Hyperliquid floor, so the backtest review sent it to optimization as a test, not as evidence of robustness. Walk-forward optimization found no real edge: out-of-sample Sharpe averaged about 0.06 against about 2.6 in-sample, parameters were unstable with cliffs, and all the profit came from 2024. The analyst abandoned it after one iteration, describing it as overfit with no edge, the fifth BCH/LTC relative-shock attempt.
Hypothesis
Test whether unusually large, volume-backed relative advances between BCH and LTC partially reverse after the advance stops accelerating. Trade synchronized 4-HOUR perpetual bars, buying the relative laggard and shorting the leader with equal dollar notionals. Both exact bar directories exist locally. This is a conditional sector-relative convergence experiment, not an assumption that the price ratio is permanently cointegrated. Inspiration: [QuantInsti's Principal Component Analysis in Trading](https://blog.quantinsti.com/principal-component-analysis-trading/), specifically separating shared exposure from asset-specific movement; this proposal uses a transparent fixed log ratio rather than fitted PCA. Evaluate only the instruments' overlapping history.
Hyperliquid is the most underrepresented venue relative to its target: 8.5% versus 20%. A two-instrument long/short proposal also addresses excessive single-symbol and long-only concentration. corpus_concentration is empty, so individual instrument shares cannot be assessed; no claim of zero prior use is made. Unlike the failed DOGE inter-exchange spread, this experiment targets multi-percent differences between assets over days, rather than tiny same-asset venue mispricings. Unlike the failed ATOM rebound, it does not buy after an absolute-price bounce or exit at a rolling midpoint. The supplied success labels include negative Sharpes and are not treated as evidence of profitability.
Implementation
Trades exactly synchronized BCH and LTC Hyperliquid four-hour perpetual bars. Fades a volume-backed relative shock once its one-bar relative advance slows, buying the laggard and shorting the leader with equal target dollar notionals. Requires 360-bar return correlation of at least 0.55. Closes both legs at 2 log-percentage points of convergence, 4 points of adverse spread movement, or 42 four-hour intervals; waits six intervals before re-entry. Uses bounded buffers and incremental correlation and volume statistics.
Verification Results
Document this as a bar-close risk target rather than a guaranteed loss ceiling. If intrabar protection is required, implement coordinated pair protection without duplicating exits.
The adverse-spread stop is checked only at synchronized four-hour closes. Intrabar moves and gaps can exceed the nominal 4% spread stop and the targeted 0.8% equity loss.
Add execution-event handling for rejected or partially filled legs and a clock-driven feed watchdog before live deployment.
Leg submissions are sequential, and orphan repair runs on bar callbacks. A rejected or delayed leg can leave directional exposure until another eligible callback. The stale-feed guard also requires incoming bars; it cannot detect both feeds stopping together.
Sandbox impact consumed 66.57% of gross profit, and funding cash flows were not modeled. Full-history evaluation should examine these costs; neither establishes a correctness defect.
Backtest Review
- Sharpe
- 0.37
- Total return
- 4.58%
- Max drawdown
- 8.18%
- Trades
- 146
- Win rate
- 60.3%
- Profit factor
- 1.09
Trade details confirm 73 paired entries over 753 days: opposite directions, equal entry notionals and synchronized exits. Frequency is plausible for conditional relative-shock convergence.
Net return is +4.58%, PF 1.091 and average leg return 0.1635%, above the 0.15% Hyperliquid review floor. No open-position profit drives the headline.
Funding is modeled and folded into PnL; trade records show approximately +$179 net funding, resolving QA's sandbox omission.
QA's impact concern is borne out: modeled impact consumes 65.68% of gross profit, leaving fragile economics.
Sharpe is 0.371 with a confidence interval spanning zero; 2025 and partial 2026 lost money. Optimization is warranted as a test, not evidence of robustness.
The effective sample is 73 pair events, not 146 independent trades. Evaluate paired outcomes and preserve chronological validation.
Entry-condition timing was not independently checked against underlying bars.
The bound outbox file could not be written because this session permits only filesystem reads.
Outcome Summary
A fixed-log-ratio BCH/LTC relative-shock edge that only made money in 2024 and lost most of its gross profit to impact does not hold up; after five attempts, research should stop proposing BCH/LTC relative-shock variants.
The backtest review sent it to optimization, but the analyst then abandoned it for having no out-of-sample edge: across 13 walk-forward windows, out-of-sample Sharpe averaged about 0.06 against a 0.5 floor, while in-sample Sharpe was about 2.6. Two of the three tunable parameters showed sensitivity cliffs, the probability of backtest overfitting (PBO) was above 0.6 in 9 of 13 windows, and the forecast information coefficient was -0.033 (t=-0.34).
On synchronized Hyperliquid 4-hour perpetual bars, it waited for an unusually large, volume-backed move in the BCH/LTC log ratio to stop accelerating, then bought the laggard and shorted the leader in equal dollar amounts, betting the gap would partly close.
The full-period backtest (2024-03-29 to 2026-04-20) made +4.58% over 146 legs (73 paired trades), with Sharpe 0.37, profit factor 1.09, 60.3% win rate, 8.18% max drawdown and an average trade return of 0.164% of notional. All of the profit came in 2024 (+9.5%); 2025 lost 3.8%, 2026 year-to-date lost 0.7%, and modeled market impact took about 66% of gross profit.
Backtest and paper results are hypothetical. Trading involves risk of loss.