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BtcHyperliquidDailyTSMomentumLongShort

Hypotheses

Hyperliquid BTC Daily Time-Series Momentum, LONG/SHORT (Single-Instrument HYPERLIQUID Perp, Pure OHLCV, Flip-Via-Flat, Fixed-Fractional Sizing, Validated TS-Momentum Mechanism on the One Confirmed Clean-Sizing Venue + the One HL Asset With Demonstrated Trend Edge, Fills the Dominant Long-Only Over-Representation, Pre-Registered LS-Sizing Probe, Tail-Safe, Low-Parameter)

Hypotheses

A LONG-SHORT, SINGLE-INSTRUMENT, DAILY time-series (absolute) momentum strategy on BTCUSD.HYPERLIQUID. Three convergent reasons make this the best remaining move: (1) DIRECTION is the dominant quota miss — long_only is 85.8% vs the <=55% target (30.8pp over), far larger than any other dimension's gap; the factory needs long_short, and the ONLY venue where long_short sizes correctly is HYPERLIQUID (BINANCE USD-M perp shorts/flips are engine-corrupted — proven over-exposure defect; spot-CASH MTM, multi-instrument aggregation, and options settlement are all also defective; census signals liq/OI/taker/account-ratio are data-walled, so signals are restricted to OHLCV + funding). (2) MECHANISM is separately VALIDATED — the time-series-momentum long-short family reached paper_stage on the BINANCE siblings (Sol/Eth/Btc TS-momentum), but has NEVER been run on the clean HL venue; this is the correct-sizing expression of an already-working edge, not a new untested idea. (3) ASSET-SELECTIVITY (the key recent lesson: HL daily breakout worked on BTC PF 1.76 but FAILED on ETH PF 0.70) says validate the trend edge per instrument and prefer the asset with demonstrated HL trend — BTC. Rather than clone the long/flat Donchian breakout a fourth time (HL BTC positive, HL ETH dead, HL SOL pending, CM BTC/ETH pending), this varies the MECHANISM (continuous TS-momentum sign vs discrete channel breakout) AND adds the short side on the proven-trend asset. Construction is deliberately simple and bug-avoiding: pure OHLCV, ONE fixed-fractional size per entry (NO vol-target re-scaling, NO leverage stacking), leverage 1.0, and flips routed THROUGH FLAT (on a sign change, exit fully to flat on one bar, then open the opposite side) rather than direct reversal — so the engine never has to net opposing fills, the cleanest long-short construction. PRE-REGISTERED ACCEPTANCE / SIZING PROBE (doubles as the HL long-short sizing test, since all clean-HL evidence so far is long/flat): avg_position_pct ~<=100% and no physically impossible single-day equity return (BTC at 1x is ~+/-15-20%). If violated, the over-exposure defect extends to HL on the short/flip path -> abandon and escalate as the HL-LS reproducer. If clean, this is the first correctly-sized long-short trend book in the portfolio and establishes the HL LS path. Low parameter count (one lookback, one trend filter, one ATR stop).

Hypotheses

Implements the hypothesis as the first correctly-sized long-short trend book in the portfolio, on the only venue that sizes long/short cleanly (HYPERLIQUID) and the one HL asset with a demonstrated trend edge (BTC, HL daily breakout PF 1.76; ETH was dead at 0.70). It addresses the dominant long_only over-representation (85.8% vs <=55% target) and the under-weight HL venue simultaneously. The mechanism is the TS-momentum long-short family already promoted to paper_stage on the BINANCE siblings, here given its correct-sizing expression on the clean venue rather than a new untested idea; it varies the mechanism from the existing HL Donchian breakout (continuous vol-normalized momentum sign vs discrete channel) and adds the short side on the proven-trend asset. Construction is deliberately defect-avoiding: (1) single-instrument, pure OHLCV (no funding subscription, no extra legs) so multi-instrument aggregation and funding defects cannot apply; (2) flip-via-flat is structural — should_exit closes to flat on a reversal and the base engine evaluates an entry only when position is None, so the opposite side opens on a later bar and opposing fills are never netted; (3) ONE fixed-fractional size (notional = 0.95 * equity, qty = notional/price) with no vol-target rescaling or leverage stacking, leverage left at 1.0 so the engine margin model and in-strategy notional agree. The vol-normalized momentum score keeps the signal continuous and conviction-bearing and makes the single entry_threshold behave consistently across volatility regimes. Daily bars match the long-term momentum timeframe and keep HL fee drag (~0.09% RT) negligible given few trades/year. Pre-registered sizing probe: avg_position_pct should be <=~100% and single-day equity returns bounded near BTC's daily move at 1x (~+/-15-20%); a violation would indicate the over-exposure defect reaches the HL short/flip path and should be abandoned/escalated as the HL-LS reproducer.

Hypotheses

Abandon — optimizing this re-runs a known-failing experiment and will hit the documented daily-sparsity holdout wall. (1) HOLDOUT SPARSITY: 66 trades total (~40 real post-2023) with 22d 18h average holds means the FIXED 15-day holdout contains ~0-1 trades and auto-rejects — the identical wall that killed every HL daily-trend book (the hypothesis itself names it), and a 22-day-hold momentum book is even sparser than the breakouts that already failed it. (2) NO STABLE EDGE: per-trade expectancy is NEGATIVE (-$1742), win_rate 22.7%, tail_ratio 0.023, skew 7.8 / kurtosis 79.9 — the +124.5% headline is carried by 2-3 outlier 2024-bull trades (2024-01 +51.8%, 2024-12 +53.2%; annual 2024 +83% vs 2023 +4.3%, 2026 -4.3%), i.e. bull beta concentrated in a few multi-week winners, exactly what the post-opt DSR/holdout gates deflate. (3) FAMILY ALREADY DEAD POST-OPT: the same TS-momentum-LS mechanism on the SOL-HL sibling was optimized and abandoned this session (DSR 0.0, walk-forward OOS [0,0,-1.5], holdout -0.68, PBO 0.62), and BTC's own daily trend edge in its other expression (HL daily Donchian) also failed post-opt (DSR 0.0, all-zero OOS, negative holdout) — so both the mechanism (TS-mom LS) and the asset's daily-trend premise (BTC) have already collapsed out-of-sample; this combination would just re-collapse. Not iterate: there is no code-level bug — the construction is clean and the sizing probe passes; the failure is the structural daily-sparsity holdout wall plus a fat-tail bull-beta 'edge', neither fixable by parameter changes. PRESERVED FINDINGS: (a) the HL long-short short/flip path sizes CLEANLY (avg_position_pct 58.6%, balanced legs, metrics_reliable=true) — the LS sizing question is now answered affirmatively on both BTC and SOL, so future LS work need not re-probe it; (b) low-frequency daily-trend/momentum on HL is structurally unvalidatable via the 15-day holdout regardless of asset or whether the mechanism is Donchian or TS-momentum — the research lead should stop queuing daily-cadence HL trend books (they die on holdout sparsity) and pursue edges with much higher trade frequency, OR await the 1H/4H backfill for a deep intraday trend cadence; (c) DATA FLAG to the data engineer: BTCUSD.HYPERLIQUID daily data starts 2020-08-19 with ~26 zero-PnL pre-2023 trades before HL launched — trim/verify these backfilled bars as they pollute pre-2023 walk-forward windows.

Implementation

Long/short daily time-series (absolute) momentum strategy on BTCUSD.HYPERLIQUID, pure OHLCV. The signal is the 30-day return vol-normalized into a Sharpe-like t-stat score: goes long when score > +0.5 and close > 50-day SMA, short when score < -0.5 and close < 50-day SMA. Exits on momentum reversal (score crossing the exit band or close crossing the SMA against the position), a 3x-ATR hard stop frozen at entry, or a 15% percentage stop. Flips are routed through flat (exit fully, then re-enter the opposite side on a later flat bar) so the engine never nets opposing fills. One fixed-fractional position (95% of equity notional) per entry, no vol-target rescaling, leverage 1.0.

Backtest Review

Pre-registered SIZING PROBE PASSED: avg_position_pct 58.6%, metrics_reliable=true, balanced 33 long / 33 short, no physically impossible single-day equity jump (the +51%/+53% figures are per-trade returns over ~22-day holds in the 2024 bull, not daily equity jumps) — the HL long-short short/flip path sizes cleanly, confirming the HL LS path alongside the SOL-HL TS-mom probe.

Backtest Review

Net-positive headline (total_return +124.5%, Sharpe 0.94, PF 1.52, Sortino 2.26) and deep daily data for a walk-forward.

Backtest Review

DAILY-SPARSITY HOLDOUT WALL: 66 trades total (~40 post-2023) with 22d 18h average holds → a 15-day holdout contains ~0-1 trades → auto-reject. This is the exact wall that killed every HL daily-trend book; a 22-day-hold momentum book is even sparser.

Backtest Review

Negative per-trade expectancy (-$1742) with win_rate 22.7%, tail_ratio 0.023, skew 7.8 / kurtosis 79.9 — the +124% is carried by 2-3 outlier 2024-bull trades (2024 +83% vs 2023 +4.3%, 2026 -4.3%), i.e. bull beta, not a stable edge.

Backtest Review

Family already failed post-opt this session: the identical TS-momentum-LS mechanism on SOL-HL was abandoned (DSR 0.0, OOS [0,0,-1.5], holdout -0.68), and BTC-HL daily Donchian also failed (DSR 0.0, negative holdout).

Backtest Review

Data-quality flag: BTCUSD.HYPERLIQUID daily data starts 2020-08-19 with ~26 zero-PnL trades pre-2023 (before HL existed) — flat/backfilled bars that pollute pre-2023 walk-forward windows.

Outcome Summary

BtcHyperliquidDailyTSMomentumLongShort paired a promoted TS-momentum mechanism with HL's clean-sizing venue and its one proven-trend asset, BTC, aiming to establish the first correctly-sized long-short trend book and clear the dominant long-only quota gap. The sizing probe succeeded (avg_position_pct 58.6%, balanced 33 long / 33 short) and the +124.5% headline was eye-catching, but it masked a negative -$1,742 per-trade expectancy and a fat-tail bull-beta profile concentrated in a few 2024 winners. The reviewer abandoned it before optimization, recognizing the 22-day-hold book would hit the same daily-sparsity holdout wall that killed every HL daily-trend strategy, and that both the mechanism (SOL-HL TS-momentum) and the asset's daily-trend premise (BTC-HL Donchian) had already collapsed out-of-sample this session — so optimizing would only re-collapse. It preserved three findings: the HL long-short path sizes cleanly on both BTC and SOL, daily-cadence HL trend books are structurally unvalidatable on the holdout, and ~26 pre-2023 backfilled BTC bars should be trimmed by the data engineer.

Outcome Summary

Low-frequency daily-cadence HL trend/momentum is structurally unvalidatable through the 15-day holdout regardless of asset (BTC/SOL) or mechanism (Donchian/TS-momentum) — long holds make the holdout too sparse — so pursue higher-frequency edges or await the 1H/4H backfill; the HL long-short flip-via-flat path is now confirmed to size cleanly on both BTC and SOL.

Outcome Summary

The analyst abandoned it at the backtest-review gate, before optimization, because it would re-run a known-failing experiment: 66 trades with ~22-day holds means the fixed 15-day holdout contains ~0-1 trades (the daily-sparsity wall that killed every HL daily-trend book), the edge is fat-tail bull beta rather than stable, and the same TS-momentum-LS mechanism (on SOL-HL) and BTC's daily-trend premise (in Donchian form) had both already collapsed post-optimization this session.

Outcome Summary

A long/short, single-instrument, OHLCV-only daily time-series momentum strategy on BTCUSD.HYPERLIQUID (vol-normalized momentum score with SMA trend filter, flip-via-flat, fixed-fractional entries, leverage 1.0), applying a BINANCE-sibling-promoted TS-momentum mechanism to the one clean-sizing venue and the one HL asset with a demonstrated trend edge (BTC), while doubling as the HL long-short sizing probe.

Outcome Summary

The headline looked strong — +124.5% total return, Sharpe 0.94, profit factor 1.52, Sortino 2.26 over 66 trades (33 long, 33 short) — but per-trade expectancy was negative (-$1,742) with a 22.7% win rate and extreme fat-tail profile (tail_ratio 0.023, skew 7.8, kurtosis 79.9), the return carried by 2-3 outlier 2024-bull trades; the sizing probe passed cleanly (avg_position_pct 58.6%, balanced legs, metrics_reliable=true).
Strategy report

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