Alpha Report
Crude Oil
Composite Signal
2022–2026

Market SectorEnergyModelPythia-v0.12.0SignalComposite
Date FromJan 03 2022Date ToSep 28 2026
Published Oct 13, 2026

1. Executive Summary

CategoryValue
MARKET SECTOREnergy
SIGNALCrude Oil (WTI)
MODELOIL_DTC v11: composite
SIGNAL DEFINITIONSingle Contract Mid-Price Trend [Now, now + 5 min] [14:25, 14:30] ET
DATA INPUT WINDOW40 days of history, 1-minute Level II order-book bars, 02:00–16:00 ET each day
SIGNAL GENERATION WINDOWEvery 5 minutes, 10:45–11:00 ET (4 decisions per day)

Signal Coverage: Crude Oil (WTI)

Asset ClassTrading SymbolName
FuturesCLCrude Oil (WTI)
FuturesMCLMicro WTI Crude Oil
ETFUSOUnited States Oil Fund

Crude Oil (WTI) Macro Review:

  • 2022: Russia's invasion of Ukraine sent WTI futures to a high of about $127 on 8 March; prices then fell through the second half as rate hikes and slowing growth weighed on demand, reaching the year's low near $72 on 8 December. The year closed only about 4% higher, after one of the widest ranges in a decade.
  • 2023: About −9%. Crude fell through H1 to a March low near $66 amid the bank stress, rallied +28% in Q3 to about $93 in late September on Saudi and OPEC+ production cuts, then gave back 20% in Q4 as demand concerns returned.
  • 2024: Flat over the year, in a $66–87 range: a Q1 rally to an April high on Middle East risk, then a −17% Q3 to a September low on weak Chinese demand and expected OPEC+ supply increases.
  • 2025: About −21%, falling in every quarter as OPEC+ unwound production cuts and the market moved toward oversupply; the June Israel–Iran conflict caused only a brief spike, and the year ended near its December low of about $55.
  • 2026 (to 28 Sep): An extreme year: WTI rose from about $56 in early January to about $117 on 7 April (Q1 +83%) as the Iran conflict effectively closed the Strait of Hormuz and IEA members released 400 million barrels from strategic reserves. Prices fell back in Q2 (−29%) and climbed again in Q3 (+40%) on renewed strikes in the Gulf, the highest levels in nearly four years.

Signal Performance Overview:

  • 2022: +41.6% (Sharpe 2.12), the strongest year, with a −8.6% drawdown, a 59% hit rate and gains split evenly between longs (+22.0%) and shorts (+21.7%); the signal followed both the March spike and the second-half decline.
  • 2023: The weak year: −17.8% (Sharpe −1.21) and a −20.5% drawdown, with a hit rate of 50%. Both sides lost; the losses were concentrated in 23Q1 and 23Q4, when the signal missed the turns in a whipsawing market, while 23Q3's OPEC-driven rally was traded well (Sharpe 1.78).
  • 2024: +4.3% (Sharpe 0.45), almost all from shorts (+6.0%), mostly in Q3 when crude fell 17% (24Q3 Sharpe 1.95).
  • 2025: +3.7% (Sharpe 0.22) in a −21% market, mostly from longs (+5.0%), with a −14.8% drawdown concentrated in 25Q2 around the June spike.
  • 2026 (F1, to 28 Sep): +19.9% (Sharpe 1.29), with the best quarter in 26Q2 (Sharpe 3.39); longs (+13.8%) and shorts (+7.9%) both contributed. The −18.1% drawdown came in 26Q1, when it did not keep up with the oil spike.

2. Trading Strategy

In order to produce the metrics below we use the signal in combination with the trading strategy below:

  • Entry positions: every 5 minutes between 10:45 and 11:00 ET (4 possible openings per day) we take a long, short or no position. Each position is split into 5 parts, executed on each minute of the 5 minutes after the decision. No sizing adjustment.
  • Exit positions: each decision's position is closed between 14:25 and 14:30 ET, its five parts over the five minutes.
  • Costs: 0.75 bp per side, 1.5 bp round trip (CL). Extra exchange/clearing fees not included.
  • Contract series & roll: Front month monthly contract. Switch at the open 12 trading days before the last business day of the month preceding delivery, ahead of the contract’s last trading day, and start trading the next month.

3. Model Training Data and Timeframe

CategoryValue
Model FamilyPythia-v0.12.0: committee of models voting per decision
VersionOIL_DTC v11
ExchangeCME Globex
DataLevel II Limit Order Book (10 levels)

Each year of Section 4 is scored by the committee of its own walk-forward fold, trained and validated only on data before that year:

YearFoldTrainingValidationVote
2026F12020-01-01 → 2024-10-312025-01-01 → 2025-12-319/12
2025F22019-01-01 → 2023-10-312024-01-01 → 2024-12-319/11
2024F32019-01-01 → 2022-10-312023-01-01 → 2023-12-319/12
2023F42018-01-01 → 2021-10-312022-01-01 → 2022-12-319/12
2022F52017-01-01 → 2020-10-312021-01-01 → 2021-12-319/12

4. Performance Metrics: walk-forward, 2022 – 2026

4.1 Return and Risk Metrics

Quarterly and annual return, risk-adjusted performance and drawdown for the trading strategy defined in Section 2. Sharpe is per session on fixed capital. 2026 runs to 2026-09-28.

Table 1: Quarterly and Annual Metrics

QuarterFoldReturn %SharpeWin %CalmarAnn. Vol %MDD %
2026F119.8841.29453.3331.48724.534-18.074
26Q3F16.0921.31248.6963.77522.122-6.945
26Q2F118.2063.39363.02317.95736.705-5.191
26Q1F1-4.413-0.83347.436-0.90118.514-18.074
2025F23.6640.21953.4370.24116.788-14.777
25Q4F21.8460.67345.9221.36111.017-5.398
25Q3F20.8710.34349.7140.79010.014-4.262
25Q2F2-1.605-0.22265.139-0.40827.968-15.145
25Q1F22.5521.31855.5413.4218.328-3.049
2024F34.3320.44652.2240.6829.679-6.174
24Q4F3-0.517-0.22051.049-0.3829.076-5.206
24Q3F34.6351.95260.9165.10510.620-3.699
24Q2F3-2.286-0.86349.733-1.8199.507-4.713
24Q1F32.5001.05548.1632.34010.321-4.438
2023F4-17.793-1.21250.370-0.85313.543-20.485
23Q4F4-10.152-2.93436.696-2.6379.715-13.045
23Q3F44.3241.78362.0903.29310.791-5.415
23Q2F4-2.056-0.67048.457-1.68911.337-4.650
23Q1F4-9.908-1.92552.081-1.65315.291-20.379
2022F541.5982.12458.7904.70222.941-8.604
22Q4F514.1252.96555.55616.10730.458-4.237
22Q3F5-2.163-0.46754.362-1.05016.644-7.624
22Q2F514.1952.78262.1876.97433.155-9.844
22Q1F515.4403.03563.68810.78334.575-7.049

Figure 1: Cumulative equity from $1,000,000, quarterly returns compounded from 22Q1 (out-of-sample)

$1,000,000 to $1,577,244 (+57.7%)

The curve compounds the quarterly returns from $1,000,000 for illustration. The strategy metrics in this report assume fixed capital, so the ending value is not the sum of the quarterly returns.

4.2 Participation, Recall and Effective Leverage

Quarterly and annual view of how often the signal trades, how many of the realised moves it captures, and how much of the notional capital is deployed on average.

Table 2: Quarterly and Annual Participation, Recall and Effective Leverage

QuarterFoldParticipation %Recall %Hit rate %Effective Leverage (x)
2026F163.4855.5053.400.598
26Q3F162.8949.6448.450.591
26Q2F167.1964.2462.790.631
26Q1F160.3251.4348.030.573
2025F262.6054.7254.490.586
25Q4F268.8546.5846.370.648
25Q3F266.2951.0850.860.624
25Q2F256.2567.3066.670.529
25Q1F258.7354.7356.760.543
2024F355.1250.2652.890.518
24Q4F355.0050.0052.450.517
24Q3F349.6250.0061.830.466
24Q2F357.6950.0050.000.543
24Q1F358.3350.3948.300.548
2023F460.4148.4450.400.568
23Q4F444.9239.3034.780.422
23Q3F451.5456.9163.430.485
23Q2F468.3646.3748.570.643
23Q1F476.9550.7452.280.723
2022F554.4659.0958.720.512
22Q4F556.2553.3855.560.528
22Q3F556.4452.4655.030.531
22Q2F550.0062.6361.720.470
22Q1F555.0862.1863.120.518
MetricDefinitionCalculation
Participation %Share of the available decision points at which the signal takes a position (long or short) rather than staying flat.(long + short decisions) / total decision points × 100; 4 decision points per trading day.
Recall %Share of the available decision points at which the signal took a position and the price moved in the direction taken.correct decisions / total decision points × 100 = Participation × Hit rate.
Hit rate %Share of the positions taken that moved in the direction taken.correct decisions / (long + short decisions) × 100.
Effective Leverage (x)Average gross notional exposure carried by the strategy relative to its capital.Time-weighted average, over the trading window (10:45–14:30 ET, first entry to last exit), of gross open notional (sum of absolute long and short positions) divided by start-of-day equity; averaged across all trading days in the period.

5. Next Steps

Download historical predictions using the Client API and confirm performance in your own test harness:

6. Contact

Please reach out with any questions or comments at: info[at]quantumsignals.ai

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