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Essay · 2026.10.12 · 12:13

XYZ80 Market Regime and All Trading Strategies: An MECE Empirical Study of Sliding 15 Voting and Execution

A reproducible MECE audit of all strategy families, XYZ80 and higher horizons, Primary Sliding 15 Voting, validation-to-forward-to-actual gaps and a prioritized improvement agenda.

Korean original · Manual translation

An MECE Empirical Analysis of the XYZ80 Market Regime and the Entire Strategy Estate: Sliding 15 Voting, Higher Horizons, and Research-to-Actual Transfer

October 12, 2026 | Public research essay · Independently authored English edition
Principal data freeze: October 12, 2026, 11:15:32 KST
Research status: reproducible observational audit of an operating Analysis Server. Not peer-reviewed and not a claim of verified trading profitability.

Central conclusion: The XYZ80 framework supplies a consistent description of market conditions, but we have not established that its Primary Sliding 15 Vote produces better forecasts of future market direction or profitable trades. A deeper market-regime gate should not be enabled ahead of correct feature timestamps, matched paper-versus-exchange fills, and statistical control for the hundreds of strategies reacting to the same market shock.

Abstract

This study examines the explanatory and prospective predictive value of an 80-cell, fifteen-minute market-regime taxonomy across all Scalp, Core, machine-learning, Adaptive and Lead-Lag strategies. We reconstruct completed trading outcomes directly from the Analysis Server database, separating research-time Validation and historical Holdout from post-freeze Forward paper execution and reconciled exchange Actual execution. The production L1 XYZ80 state is distinguished from exploratory, higher-horizon 1H, 4H, 1D and 7D conditions, which do not constitute currently enabled L2 gates.

We evaluate four temporal constructions of a fifteen-minute regime: the rolling one-minute estimate, a fifteen-vote sliding majority, a fixed-clock fifteen-minute majority, and finalized fifteen-minute candles. Two different questions are tested: how often the state changes, and whether that state contains incremental predictive information about later market movement or strategy outcomes. The investigation also treats duplicated simultaneous Scalp signals as clustered events rather than independent observations, decomposes performance drift into changes in regime exposure versus performance conditional on regime, audits execution-price differences, and compares V8, V10 and V11 research findings with the very different available prospective evidence.

The results do not support a general claim of profitable regime gating. They establish a reproducible agenda: first repair causal market-feature and exchange-fill integrity; then match research signals to actual orders; next test incremental regime information on new independent market days; only then optimize execution, stop management and capital allocation under risk constraints.

1. Study questions and what MECE actually means

Mutually Exclusive, Collectively Exhaustive classification must hold within a defined axis. It does not mean placing all market, strategy, data-quality and trading concepts into one artificial hierarchy. This audit therefore defines a separate axis for evidence stage, strategy function, market regime, time horizon, trade outcome and error provenance.

Each operational strategy receives one family assignment: Scalp, Core, ML, Adaptive or Lead-Lag. Records are assigned to historical research, genuine prospective paper Forward, confirmed Actual, or experimental/error/pre-reset and unresolved states. Within the market coordinate system, four capital-inflow levels (X), four advancing-breadth levels (Y) and five moving-average trend levels (Z) produce exactly 4 × 4 × 5 = 80 states. The higher horizons are evaluated separately before an interaction is considered.

Six empirical questions govern the analysis. Q1: Does the label separate subsequent market direction? Q2: Does Sliding15 improve forecast discrimination or calibration over the alternative clocks? Q3: Does a strategy earn stable conditional expectancy in specific states? Q4: Which measured differences separate research, paper Forward and Actual exchange execution? Q5: Do improving or deteriorating strategies change their regime mix or their outcomes inside the same regime? Q6: What distinguishes real successful and failed paths in middle-performing strategies?

The plain-language distinction is consequential. A label can be well constructed and visually stable, yet fail to improve trade selection. A strategy can rank strong candidates, yet lose money when it buys at an inferior price or uses the wrong exit objective. A successful historical Holdout does not establish a successful future live deployment.

2. Source populations and auditability before any performance ranking

The raw TradingBot trading database held 239,532 paper records and 105 actual trade journal records at the principal freeze. Only positions recorded as completed FORWARD, without an error code and with realized return were admitted into the 110,776-trade Forward outcome population. Only journal rows marked CLOSED, error-free and exchange-reconciled were admitted into the 70-trade Actual population.

Forward activity covers September 29 through October 12, 2026, across only fourteen active trading dates. Actual activity stretches from May 18 to October 12 but spans only seventeen scattered active dates. Most valid Scalp paper outcomes occurred over just six days. Calendar-span length is not the same as the number of independent regimes, opportunities or evidence dates.

A particularly material exclusion is 57,334 incomplete short-timeframe Quant Feature Mart records, concentrated between October 2 and October 7. They are not normal losses; they represent data-quality and potential causal feature-availability failures. At the same time, simply deleting such records can create selection bias if feature availability is systematically different during fast-moving or illiquid markets. The audit preserves their count and provenance separately and identifies the possible failure-selection mechanism.

Reconciled Actual trades have heterogeneous histories. 57 were recovered through the October 2 Upbit fill backfill, whereas 13 were captured as directly confirmed fills. Differences between their original recording pipelines must be considered before treating every source as a controlled execution experiment.

2.1 Complete paper record status ledger

Recorded stage and error Raw records Closed
FORWARD 111,152 110,776
ERROR: DATA_INCOMPLETE_SHORT_TF_QUANT 57,334 57,334
EXPERIMENT 32,175 32,175
PRE_RESET_EXPERIMENT 27,040 26,930
TIME_EXIT_SHADOW_B 2,742 2,732
TIME_EXIT_SHADOW_A 2,736 2,726
VALIDATION 2,704 2,704
PRE_RESET_LEGACY_COUNTERFACTUAL_OVER_CAPACITY 1,600 1,600
AUTO_DISCOVERY 1,091 1,087
FEATURE_SHADOW 472 461
LEAD_LAG_ROUTE_FORWARD 219 219
EVENT_RESPONSE_FORWARD 76 76
PRE_RESET_VALIDATION 54 54
PRE_RESET_INVALID_PRE_FIX_20260929 42 42
PRE_RESET_FEATURE_SHADOW 28 28
PRE_RESET_UNKNOWN 24 24
LEADER_EXIT_SHADOW 20 20
PRE_RESET_FORWARD 17 17
PRE_RESET_LEADER_EXIT_SHADOW 5 5
DORMANT_PROBE 1 1

2.2 Census beyond trading winners

The combined inventory contains 1,077 distinct strategy or research IDs, including legacy observed IDs and models that have only research results. 764 IDs have at least one qualifying Forward outcome; 12 have at least one qualifying Actual outcome; 311 have neither. Absence of evidence cannot be interpreted as a zero win rate or evidence of failure.

Family All recorded/registered IDs
SCALP 615
CORE 310
ML 87
ADAPTIVE 39
LEAD_LAG 26

The complete population, including the nontrading research models and IDs without clean performance, appears in Appendix A. Source errors, historical experiments and pre-reset evidence remain visible but are not borrowed for prospective promotion criteria.

3. Definitions: win rate, expectancy, likelihood and dependence

Let the realized net return on closed trade i be r_i. The hit rate is the share of outcomes with r_i greater than zero. Average net trade return is the arithmetic mean of all r_i. Profit Factor is the sum of profitable trade returns divided by the absolute sum of unprofitable trade returns. Actual results use stored exchange-reconciled net PnL rather than an imagined next-candle fill.

A model can win 60% of its positions and still lose money when losses are larger than wins. Profitability requires positive net expectancy after realistic execution, not merely a high probability of ending above zero. Risk also depends on joint exposure, capital allocation, turnover, order-book liquidity and drawdown. The sum of profits from 700 overlapping virtual strategy portfolios is not an actual unified account NAV.

Wilson score confidence intervals provide useful approximate hit-rate uncertainty when outcomes resemble independent Bernoulli trials. In this system, they often do not: dozens of Scalp variants buy the same asset during the same minute and exit in response to the same subsequent shock. Naive intervals can therefore be overconfident. Asset-minute and trading-day clustered uncertainty is required before a cell can be considered reliable.

Brier Score measures the mean squared error between predicted success probabilities and binary outcomes. Log Loss penalizes especially confident incorrect probabilities. Both should decrease when adding genuinely useful regime information. AUC measures discrimination between subsequent positive and nonpositive market-direction outcomes; AUC near 0.5 conveys chance-like ordering. Strong agreement among voting labels does not automatically imply a calibrated probability of trading profit.

3.1 Definitions for readers without formal statistical training

Term Definition Interpretation limit
N Closed and non-error positions Same ticker-minute strategy clones are dependent
WR Share of positions with net return > 0 Omits payoff asymmetry
Mean Net Average realized net return per position Summed virtual PnL is not account NAV
PF Gross profit / absolute loss Undefined with no losses
AUC Discrimination of subsequent positive market proxy About 0.5 is chance-like
Brier Mean squared probabilistic prediction error Lower is better
15 Vote Most frequent label among 15 finalized minute votes Consensus is not profit probability
L2 candidate Research-only 15m and 1H joint state No operational L2
Confidence Wilson 95% approximate interval Ignores correlated clustered entries
ABSTAIN Do not infer when evidence inadequate Not a zero observed WR

4. All trading families: closed Forward versus reconciled Actual

A disjoint five-family partition is shown below. Each trade contributes to exactly one family and one operational evidence stage for this primary outcome table.

Evidence Strategy family Closed N Win rate % Mean trade net % Profit factor Active days
FORWARD TOTAL 110,776 26.38 -0.3849 0.359 14
FORWARD SCALP 102,162 25.21 -0.3787 0.319 6
FORWARD CORE 3,908 38.64 -0.3223 0.671 8
FORWARD ML 360 39.72 -0.2716 0.743 9
FORWARD ADAPTIVE 4,310 41.48 -0.6034 0.533 12
FORWARD LEAD_LAG 36 61.11 0.1835 1.894 3
ACTUAL TOTAL 70 37.14 -0.8381 0.348 17
ACTUAL SCALP 0 — — — 0
ACTUAL CORE 58 36.21 -0.9783 0.290 15
ACTUAL ML 12 41.67 -0.1606 0.807 3
ACTUAL ADAPTIVE 0 — — — 0
ACTUAL LEAD_LAG 0 — — — 0

Total Forward performance was −0.38489% mean net return, Profit Factor 0.3595. Total Actual mean return was −0.83815%, Profit Factor 0.3479. These are economically unfavorable descriptive results. They do not establish the performance of one combined account, because hundreds of paper strategies share market entries while using separate virtual portfolios.

The valid Actual Scalp sample is empty. That means Scalp's live effectiveness is unobserved, not that its Actual win rate is zero. Lead-Lag's positive descriptive mean comes from only 36 observations over three days and is insufficient to overcome known concerns about unstable cross-asset causal lead–lag relations.

5. XYZ80 as three distinct market measurements

X measures capital inflow, Y advancing market breadth, and Z the MA5/MA20 trend strength. The X/Y grid has sixteen mutually exclusive categories, each subdivided into STRONG_DOWN, DOWN, FLAT, UP and STRONG_UP. Together they are 80 mutually exclusive L1 states.

A seemingly paradoxical observation such as positive inflows with weak breadth and declining trend is entirely possible. Capital may enter a few large or speculative assets while most listed assets stagnate. The three axes describe different economic facts and need not share a simple bullish/bearish sign.

5.1 X and Y: all sixteen market regimes

X×Y category Forward N Win % Mean net % PF
PANIC_LIQUIDATION 14,983 27.31 -0.3737 0.370
DEAD_CAT_BOUNCE 26,274 25.38 -0.4117 0.340
THIN_INFLOW 1,332 36.86 -0.1467 0.718
FRAGILE_BREAKOUT 0 — — —
OUTFLOW_PRESSURE 0 — — —
MIXED_REBOUND 9,257 25.35 -0.4049 0.335
SELECTIVE_INFLOW 34,865 25.34 -0.3977 0.339
NARROW_LEADERSHIP 6,730 28.65 -0.3312 0.398
FADING_BREADTH 0 — — —
ROTATION_RECOVERY 0 — — —
HEALTHY_ROTATION 23 26.09 -0.3741 0.351
BROAD_RISK_ON 15,699 27.93 -0.3534 0.399
BROAD_CAPITULATION 0 — — —
BROAD_RECOVERY 0 — — —
BROAD_EXPANSION 0 — — —
SPECULATIVE_EXPANSION 1,482 29.29 -0.3484 0.389

A cell's trade count measures where strategies executed, not how long the market remained in that cell. Thus a concentrated strategy can make one market state seem common even when that state occupied only a small fraction of clock time. An unbiased market-frequency study must separately use the entire minute-by-minute state chronology.

5.2 Z: the five trend categories

Z trend Forward N Win % Mean net % PF
STRONG_DOWN 13,092 30.41 -0.3532 0.408
DOWN 22,682 28.47 -0.3350 0.418
FLAT 28,322 25.07 -0.4179 0.324
UP 27,003 24.20 -0.4191 0.315
STRONG_UP 19,546 26.16 -0.3658 0.378

STRONG_UP is a description of market trend, not an instruction to buy. A strategy can enter after a large extension and lose in a bullish regime, while a carefully timed rebound can win in a bearish regime. The sign and strength of the state cannot replace execution-conditioned expectancy.

5.3 The complete eighty-cell L1 table with separated outcomes

L1 XYZ state Forward N Forward win % Forward mean net % Actual N Actual win % Actual mean net %
PANIC_LIQUIDATION__STRONG_DOWN 5,932 26.64 -0.4122 0 — —
PANIC_LIQUIDATION__DOWN 5,087 28.37 -0.3295 0 — —
PANIC_LIQUIDATION__FLAT 1,338 26.61 -0.3509 1 0.00 -0.8292
PANIC_LIQUIDATION__UP 1,116 30.56 -0.2792 0 — —
PANIC_LIQUIDATION__STRONG_UP 1,510 24.64 -0.4618 0 — —
DEAD_CAT_BOUNCE__STRONG_DOWN 1,332 30.25 -0.4258 1 0.00 -1.5019
DEAD_CAT_BOUNCE__DOWN 5,642 26.99 -0.3343 1 0.00 -0.8744
DEAD_CAT_BOUNCE__FLAT 8,936 22.19 -0.4726 5 20.00 -0.7531
DEAD_CAT_BOUNCE__UP 6,369 24.64 -0.4523 0 — —
DEAD_CAT_BOUNCE__STRONG_UP 3,995 29.76 -0.3148 0 — —
THIN_INFLOW__STRONG_DOWN 2 50.00 0.6110 0 — —
THIN_INFLOW__DOWN 458 46.94 0.0259 0 — —
THIN_INFLOW__FLAT 523 31.36 -0.2248 0 — —
THIN_INFLOW__UP 279 31.90 -0.2785 0 — —
THIN_INFLOW__STRONG_UP 70 31.43 -0.1894 0 — —
FRAGILE_BREAKOUT__STRONG_DOWN 0 — — 0 — —
FRAGILE_BREAKOUT__DOWN 0 — — 0 — —
FRAGILE_BREAKOUT__FLAT 0 — — 0 — —
FRAGILE_BREAKOUT__UP 0 — — 0 — —
FRAGILE_BREAKOUT__STRONG_UP 0 — — 0 — —
OUTFLOW_PRESSURE__STRONG_DOWN 0 — — 0 — —
OUTFLOW_PRESSURE__DOWN 0 — — 0 — —
OUTFLOW_PRESSURE__FLAT 0 — — 0 — —
OUTFLOW_PRESSURE__UP 0 — — 0 — —
OUTFLOW_PRESSURE__STRONG_UP 0 — — 0 — —
MIXED_REBOUND__STRONG_DOWN 356 21.07 -0.5931 1 0.00 -2.2407
MIXED_REBOUND__DOWN 1,629 34.81 -0.2542 1 0.00 -2.2748
MIXED_REBOUND__FLAT 2,978 27.64 -0.3456 1 100.00 4.3219
MIXED_REBOUND__UP 2,718 19.43 -0.5032 1 100.00 0.0092
MIXED_REBOUND__STRONG_UP 1,576 22.46 -0.4606 4 25.00 -1.6298
SELECTIVE_INFLOW__STRONG_DOWN 1,271 29.11 -0.3678 0 — —
SELECTIVE_INFLOW__DOWN 5,515 27.65 -0.3687 0 — —
SELECTIVE_INFLOW__FLAT 9,567 26.30 -0.4343 2 100.00 1.0023
SELECTIVE_INFLOW__UP 11,344 22.65 -0.4117 5 20.00 -0.9596
SELECTIVE_INFLOW__STRONG_UP 7,168 25.89 -0.3543 2 100.00 0.7413
NARROW_LEADERSHIP__STRONG_DOWN 996 35.74 -0.1536 0 — —
NARROW_LEADERSHIP__DOWN 1,515 32.80 -0.2442 0 — —
NARROW_LEADERSHIP__FLAT 1,339 23.60 -0.3643 0 — —
NARROW_LEADERSHIP__UP 1,597 25.36 -0.4535 0 — —
NARROW_LEADERSHIP__STRONG_UP 1,283 27.59 -0.3852 0 — —
FADING_BREADTH__STRONG_DOWN 0 — — 0 — —
FADING_BREADTH__DOWN 0 — — 0 — —
FADING_BREADTH__FLAT 0 — — 0 — —
FADING_BREADTH__UP 0 — — 0 — —
FADING_BREADTH__STRONG_UP 0 — — 0 — —
ROTATION_RECOVERY__STRONG_DOWN 0 — — 0 — —
ROTATION_RECOVERY__DOWN 0 — — 0 — —
ROTATION_RECOVERY__FLAT 0 — — 0 — —
ROTATION_RECOVERY__UP 0 — — 0 — —
ROTATION_RECOVERY__STRONG_UP 0 — — 0 — —
HEALTHY_ROTATION__STRONG_DOWN 0 — — 0 — —
HEALTHY_ROTATION__DOWN 0 — — 0 — —
HEALTHY_ROTATION__FLAT 0 — — 0 — —
HEALTHY_ROTATION__UP 0 — — 0 — —
HEALTHY_ROTATION__STRONG_UP 23 26.09 -0.3741 0 — —
BROAD_RISK_ON__STRONG_DOWN 2,762 37.94 -0.2253 1 0.00 -3.3934
BROAD_RISK_ON__DOWN 2,646 24.19 -0.4308 0 — —
BROAD_RISK_ON__FLAT 3,190 24.98 -0.3964 1 0.00 -1.8959
BROAD_RISK_ON__UP 3,371 28.95 -0.3518 1 100.00 0.8166
BROAD_RISK_ON__STRONG_UP 3,730 24.77 -0.3580 3 100.00 0.6087
BROAD_CAPITULATION__STRONG_DOWN 0 — — 0 — —
BROAD_CAPITULATION__DOWN 0 — — 0 — —
BROAD_CAPITULATION__FLAT 0 — — 0 — —
BROAD_CAPITULATION__UP 0 — — 0 — —
BROAD_CAPITULATION__STRONG_UP 0 — — 0 — —
BROAD_RECOVERY__STRONG_DOWN 0 — — 0 — —
BROAD_RECOVERY__DOWN 0 — — 0 — —
BROAD_RECOVERY__FLAT 0 — — 0 — —
BROAD_RECOVERY__UP 0 — — 0 — —
BROAD_RECOVERY__STRONG_UP 0 — — 0 — —
BROAD_EXPANSION__STRONG_DOWN 0 — — 0 — —
BROAD_EXPANSION__DOWN 0 — — 0 — —
BROAD_EXPANSION__FLAT 0 — — 0 — —
BROAD_EXPANSION__UP 0 — — 0 — —
BROAD_EXPANSION__STRONG_UP 0 — — 0 — —
SPECULATIVE_EXPANSION__STRONG_DOWN 441 33.56 -0.3619 0 — —
SPECULATIVE_EXPANSION__DOWN 190 24.74 -0.4796 0 — —
SPECULATIVE_EXPANSION__FLAT 451 31.93 -0.1953 0 — —
SPECULATIVE_EXPANSION__UP 209 28.23 -0.4708 0 — —
SPECULATIVE_EXPANSION__STRONG_UP 191 18.85 -0.4147 1 100.00 0.6314

No-observation cells display undefined win rates. A small Actual cell with 100% observed hits can still be profoundly uncertain. Selecting favorable cells after searching all eighty is a multiple-comparisons problem. Evidence should be filtered by sample adequacy, market-day independence, stable model versions and an entirely later out-of-time evaluation.

The full machine-readable annex contains 49,328 strategy-by-horizon-by-regime stage aggregates, rather than only winners selected for a presentation. Appendix A identifies all 1,077 strategy and research IDs, including those without new Forward or Actual evidence.

6. Higher horizons and why more cells can mean less evidence

The operational trading system currently defines only L1 as the fifteen-minute regime. A genuine L2 key is not populated for qualifying Forward or Actual entries. The entry-time regime fingerprint does, however, retain marginal 1H, 4H, 1D and 7D classifications, which permit a separate exploratory reconstruction. That reconstruction must not be presented as the record of a deployed higher-level gate.

For descriptive screening, a bot-by-higher-regime combination is considered minimally represented only if it has at least thirty completed positions across at least five different active trading dates. This is not sufficient for live activation; it merely flags basic data scarcity.

Higher-level dimension Eligible forward bot-cells Forward trade coverage Eligible Actual bot-cells
1H marginal 505 24.661% 0
4H marginal 0 0.000% 0
1D marginal 0 0.000% 0
7D marginal 152 40.987% 0
L1 XYZ × 1H 4 0.128% 0
L1 XYZ × 1H × 4H 0 0.000% 0

Only four L1-by-1H strategy combinations passed that very weak criterion, covering 0.128% of all valid Forward observations. None of the L1-by-1H-by-4H combinations passed. Not a single Actual bot-by-higher-regime group passed the basic threshold. Thus the currently observed data do not support deploying a general-purpose operational L2 gate.

6.1 All eligible joint L1 × 1H exploratory bot-regime groups

Strategy ID Joint L1 XYZ × 1H condition Forward N Win % Mean net % Days
scalp_1m_bullish_candle_impulse_macro SELECTIVE_INFLOW__STRONG_UP ∣ 1H=FRAGILE_BREAKOUT__UP 40 12.50 -0.4805 5
scalp_1m_bullish_candle_impulse_micro SELECTIVE_INFLOW__STRONG_UP ∣ 1H=FRAGILE_BREAKOUT__UP 37 18.92 -0.4595 5
scalp_1m_macd_impulse_macro SELECTIVE_INFLOW__STRONG_UP ∣ 1H=FRAGILE_BREAKOUT__UP 35 14.29 -0.5411 5
scalp_1m_ema_trend_macro SELECTIVE_INFLOW__STRONG_UP ∣ 1H=FRAGILE_BREAKOUT__UP 30 23.33 -0.4825 5

Even where the seven-day marginal state has substantial trade counts, the apparent evidence may arise from many repeated positions under one weekly regime, not multiple independent market cycles. An appropriate next model is hierarchical shrinkage: evaluate the 1H X/Y/Z components separately, assess incremental improvement after controlling for the bot's own history, and estimate sparse interactions conservatively. If the cell lacks independent evidence, the correct output is ABSTAIN, not a confident estimate drawn from a few lucky positions.

7. Primary Sliding 15 Vote and the alternative clocks

The production estimator first constructs rolling fifteen-minute market categories using only finalized one-minute data. It then selects the modal category among the fifteen latest finalized labels, with the most recently observed tied leader winning a tie. The decision is not complete until a full eligible set of fifteen observations is available.

In mathematical shorthand, if R_t is the latest completed rolling market label, the primary label is the mode of R_(t−14) through R_t. A winner appearing 12 times out of fifteen reflects a strong consensus among time-adjacent labels. It is not a measured 80% probability of a successful trade.

We distinguish four methods. Rolling 1M continuously updates the fifteen-minute preview. Sliding15 smooths fifteen such finalized labels. Fixed 15M Majority uses the majority within a fixed, previously completed clock block. Closed 15M reconstructs the state from completed fifteen-minute OHLC observations. These methods differ in lag and update cadence; they cannot be interchanged without checking timestamp causality.

7.1 Smoothness is not predictive power

In a separate September 30, 2026 historical study, the raw rolling method changed labels roughly 526 times daily, Sliding15 about 132 times daily, fixed-block voting about 80 times, and closed-fifteen-minute evaluation about 86 times. Median label residence rose from roughly two minutes with Rolling to eleven minutes under Sliding15.

This is a practical improvement for interface readability and stable gate communication. It does not prove that smoothing detects an actual profitable opportunity. A more stable estimator can also react later to authentic rapid regime transitions, which may be harmful for fast strategies. Timestamp lag, label turnover, market-direction discrimination and realized execution must be tested independently.

7.2 Differences observed at the same Forward trade timestamps

Across approximately 110,645 qualifying Forward records with both types of causal stamp, Sliding15 and fixed-block majority agreed 58.857% of the time. Sliding15 and the rolling preview agreed 48.995% of the time. The number of Sliding/fixed disagreements was 45,523. Agreement and disagreement subsets had very similar negative mean returns (approximately −0.3833% and −0.3858%, respectively).

These are trade-conditional observations, subject to cloned Scalp entries and changing market selection. They cannot establish that a hypothetical strategy would have taken the same trade under a different gate, so they are not direct causal performance comparisons.

7.3 Is a larger vote majority a better trading signal?

Vote plurality Forward N Win rate % Mean net %
≤6 / 15 23,785 27.00 -0.3564
7–9 / 15 43,860 26.49 -0.3831
≥10 / 15 43,131 25.92 -0.4024

High consensus was not monotonically associated with more profitable realized trades. A consensus score belongs to label stability, while trade win probability belongs to the separately calibrated behavior of a strategy and execution policy. Using vote share directly as the portfolio capital multiplier would confuse two different probabilities.

8. An independent, future-looking test of fifteen-minute market direction

Assessing the correctness of a market label solely by the profit of the strategy using it creates circular reasoning. We therefore constructed a distinct future-market outcome.

For each eligible fifteen-minute block, we retained the earliest causally stamped trade arriving in the first three minutes. We then observed the cross-coin median return between the completed Q+5 and Q+20 five-minute bars, both of which are finalized after the stamp. At least twenty priced coins were required for the future market proxy. The target asks whether the subsequent market-wide median coin return was positive, irrespective of which asset a strategy happened to select.

The test comprises 546 fifteen-minute blocks across thirteen dates between September 30 and October 12. Only 25.824% of blocks had a positive future market-median return. A prespecified scalar market-direction score combines 35% inflow coordinate, 35% breadth coordinate and 30% trend coordinate. Those weights were not tuned on the future labels in this particular comparison.

15-minute estimator Blocks N Future-direction AUC 95% day-bootstrap CI Sign accuracy %
Primary Sliding 15 546 0.49228 [0.41076, 0.55042] 53.65
Fixed 15m majority 546 0.48875 [0.40948, 0.55502] 53.06
Rolling 1m 546 0.47801 [0.38840, 0.54358] 55.82

Primary Sliding15 achieved directional AUC 0.49228, fixed majority 0.48875, and rolling preview 0.47801. All are close to chance-like discrimination. A day-block bootstrap interval for the Primary-minus-fixed AUC difference was [−0.02448, +0.01373], crossing zero. We therefore cannot declare an empirically superior fifteen-minute construction from this sample.

Importantly, this is not agreement with a uniquely true underlying XYZ label: the taxonomy is human-defined, and no oracle label exists. It tests the economic usefulness of a particular future market-direction proxy. The sample is selected on blocks where strategies entered, coin availability is not perfectly balanced, and market conditions across neighboring blocks are correlated. Thirteen dates are insufficient for a decisive conclusion, positive or negative.

9. Out-of-time probability calibration: bot alone versus bot plus regime

The most direct operational test is whether a market-state feature improves the prediction of an individual strategy's next realized success beyond what was already known about the strategy.

We sorted approximately 110,645 causally identified Forward observations and used a chronological 70/30 boundary. Only outcomes of positions that had fully exited before the boundary were admitted to training, avoiding leakage from open positions. Bot-only and bot-by-regime historical success rates were estimated with empirical shrinkage equivalent to thirty prior observations, rather than allowing one lucky observation to imply 100% confidence.

Incremental regime Bot-only Brier Regime Brier Brier gain (+) Regime logloss Test days
Primary Sliding 15 0.180474 0.181032 -0.000558 0.548111 2
Fixed 15M majority 0.180474 0.181300 -0.000825 0.548917 2
Rolling 1M 0.180474 0.180626 -0.000152 0.547009 2
1H 0.180474 0.181538 -0.001063 0.549393 2
4H 0.180474 0.180187 +0.000287 0.545868 2
1D 0.180474 0.180464 +0.000011 0.546615 2
7D 0.180474 0.181378 -0.000904 0.549034 2

A positive Brier improvement means adding the regime decreased forecast error. For Primary Sliding15 the observed gain was −0.000558, indicating slightly worse performance than the bot-only model. Fixed voting and the 1H label likewise did not improve this measure, while the positive 4H gain was extremely small.

The apparent test population contained 33,194 trades, but they occurred over only two calendar days. This defeats the usual temptation to interpret many rows as independent statistical support. We deliberately do not report a supposedly reliable day-block confidence interval based on two independent days.

The earlier September 30 retrospective comparison also found Sliding15 Brier 0.239918 against a bot-only baseline 0.23668 on its own later-time cohort. The two studies have different populations, labels and validation windows and must not be pooled as if they were replications of one preregistered experiment. Both, however, fail to establish a convincing incremental edge for the selected Primary estimator.

10. Scalp: why 100,000 Forward records are not 100,000 independent experiments

The clean Scalp paper sample comprises roughly 102,162 completed trades but only about 17,032 ticker-by-entry-minute market events. In one observed minute, as many as 124 strategy variants entered the very same asset. Each variant can then experience almost the same price path and failure shock. Counting every result as an independent market prediction would sharply overstate the amount of evidence.

Scalp produced −0.3787% average net return and 0.319 Profit Factor. The most frequent exit families were approximately 29,884 STOP_LOSS, 26,981 FAST_FAIL_BREAKOUT, and 15,433 TRAILING_STOP. A high incidence of loss-limiting exits may reflect bad entry selectivity, changing market volatility, execution mismatches, or a badly aligned exit target. It does not prove that removing a stop would improve performance.

The audit's preferred unit of analysis is the shared parent signal on one asset at one minute, followed by the incremental selectivity and economic return achieved by each variant on that identical opportunity. Virtual portfolios should be converted to an exposure-aware book that respects their common orderbook liquidity, finite capital and correlated positions.

The 57,334 invalid short-timeframe feature records further complicate evaluation. When a missing 1m/5m feature disproportionately affects high-volatility opportunities, deleting the failed cases may bias results toward favorable conditions. Causally complete market features are therefore a prerequisite to interpreting rank-based improvement. No clean Scalp Actual position was observed, so paper outcomes cannot presently be confirmed in live execution.

11. Core, ML, Adaptive and Lead-Lag: separate failure mechanisms

11.1 Core directional and pattern strategies

Core completed 3,908 Forward positions at −0.3223% mean net return, compared with 58 reconciled Actual positions at −0.9783%. Pattern families such as breakouts, rebounds, retracements and continuation differ in signal geometry and failure path. A shared label such as CORE does not identify their loss mechanism. Compare pre-entry extension, available breadth, subsequent maximum favorable/adverse excursion and executed exit reasons separately, matched in time.

11.2 Machine learning: ranking a price path is not monetizing the path

ML completed 360 Forward positions at −0.2716%, and 12 Actual positions at −0.1606%. A LambdaRank or LambdaMART model optimized for a historical target such as +6% target, −3% stop and 24-hour maximum holding horizon may correctly rank the defined target and still fail when the executable buy price is less favorable or the policy changes.

Changing the holding horizon or stop policy changes the target variable. It is not merely a harmless execution-parameter adjustment. The same feature schema, causal as-of join, data correction, model weights, orderbook assumption, concurrent-slot rule and exit definition must be pinned before attributing historical-versus-Forward deterioration to model generalization.

11.3 Adaptive strategy families

Adaptive Forward averaged −0.6034% across 4,310 clean closures. Some descendants improved sharply within the narrow recent sample while others deteriorated. Continually searching many descendants for the highest hit rate invites multiple-testing bias: even if no variant has a real advantage, the largest observed score among many trials will often look exceptional. Freeze selected candidates, evaluate a genuinely new period, and enforce independent lifecycle ownership.

11.4 Lead-Lag models

Lead-Lag's 36 qualifying Forward positions averaged +0.1835% and a descriptive Profit Factor near 1.89, but they cover only three active days. This is not evidence that formerly unstable cross-market lead–lag relations have become durable. The result is a new hypothesis, not a reason to reactivate previously archived logic.

12. Research, Forward and Actual are not the same trading experiment

Strategy ID Forward N / win / mean net Actual N / win / mean net Same-window Forward N
ma20_reclaim_micro 259 / 40.54% / -0.362% 21 / 61.91% / -0.289% 0
quant_breakout_1h 15 / 26.67% / -0.421% 12 / 41.67% / -0.161% 0
ignition_breakout_1h 88 / 48.86% / 0.257% 10 / 10.00% / -1.684% 0
bearish_relative_rebound_1h 26 / 57.69% / -0.011% 8 / 25.00% / -1.343% 0
bearish_relative_rebound_4h 1 / 0.00% / -3.135% 4 / 25.00% / -1.876% 0
ignition_breakout_1h_persistent 114 / 31.58% / -0.518% 4 / 25.00% / -0.554% 0
runner_continuation_confirmation 78 / 43.59% / -0.208% 3 / 0.00% / -2.764% 0

Across 70 reconciled Actual positions, executed entry prices averaged +0.1761% relative to the recorded entry decision price; executed exit prices averaged −0.0577% relative to the exit decision price. Combining these directions suggests roughly 0.234 percentage points of unfavorable round-trip price displacement under a naive additive comparison. This is not a causal slippage estimate: execution size, order type, tick size, timing, spread, fees and instrument must first be matched.

The larger design problem is that Actual and Forward mostly belong to different calendar periods and strategy-selection environments. Among the 70 reconciled Actual positions, only 25 had a nearby paper position in the same bot and asset within five minutes, and just five of those pairs were genuine prospective FORWARD rather than historical Validation, pre-reset or discovery records. A high difference between an old Actual average and a new Forward average cannot be decomposed into exchange slippage without matching the very same decisions.

For instance, ignition_breakout_1h returned +0.2573% on 88 recent paper Forward positions versus −1.6842% on ten Actual positions; there are no same-window Forward observations for that bot in the Actual interval. The gap is descriptively large but its causal attribution is unknown. Similarly, ma20_reclaim_micro achieved 61.9% Actual win rate over 21 positions yet still lost −0.289% per trade on average. Winning often can mask payoff asymmetry.

The MECE diagnostic channels are (A) calendar regime and opportunity selection, (B) ranking and asset eligibility, (C) execution decision versus actual bid/ask, (D) tick size and filled quantity, (E) fees, minimum notional and dust, (F) exit-event timing and order type, (G) Feature Mart freshness and schema, and (H) portfolio concurrency and funding. To identify each component, replay the same signal ID, instrument, decision timestamp and order constraints, changing one channel at a time.

For variants with at least fifty completed Forward outcomes and at least three active days in each chronological half, we compared early and late mean net trade return. A decomposition attributes the observed change to the frequency with which the strategy traded each regime, the change in mean outcome within that same or newly observed regime, and a residual for missing or newly introduced cells.

Symbolically, Δmean return = sum over k of [Δ(regime weight k) × old mean return in k] + sum over k of [new regime weight k × Δ(mean return in k)] + residual. This is an accounting decomposition, not a causal effect identified by a controlled experiment.

Strategy N Early mean net % Late mean net % Change pp Regime-mix pp Within/new regime pp
fibonacci_retracement_core__smart_entry__smart_exit_a 53 -1.3130 1.1422 +2.455 +0.137 +2.103
af_predictive_model_c0005 73 -0.2910 1.4377 +1.729 +0.434 +1.438
af_predictive_model_v0001 53 1.1385 -0.4618 -1.600 -0.397 -1.203
af_volatility_expansion_v0001__smart_exit_b 95 -0.4970 -1.4000 -0.903 +0.031 -0.922
af_liquidity_inflow_v0001 233 -0.5645 -1.4272 -0.863 +0.778 -1.733
elliott_wave3_core 57 -1.3440 -0.3269 +1.017 -0.363 +1.380
af_relative_strength_rotation_v0001 180 -1.2333 -0.3683 +0.865 -0.122 +0.928

13.1 Improving paths

The Fibonacci Retracement Smart Entry + Smart Exit A variant moved from approximately −1.313% to +1.142% mean trade return between chronological halves (26 and 27 trades). The share of trailing-stop exits increased from about 19% to 52%, while failure-oriented exits became less frequent. That may represent better realized upside capture, but it may equally reflect a new distribution of market regimes or selected assets.

Adaptive Predictive Model candidate c0005 improved from −0.291% to +1.438%. Stop-loss exits fell from about 39% to 22%. This is a meaningful descriptive change to investigate, not evidence that its training or algorithm became intrinsically more skillful.

13.2 Deteriorating paths

Adaptive Predictive Model v0001 moved from +1.139% to −0.462%, with stop-loss exits rising from about 7.7% to 25.9%. Adaptive Volatility Expansion + Smart Exit B deteriorated from −0.497% to −1.400%, with stop-loss prevalence increasing about 32% to 48%.

The central question is not simply whether the stop loss was too strict. It is whether the candidate selection shifted toward assets more likely to cross the stop before realizing favorable movement. A credible causal diagnosis requires time-aligned candidate replay under unchanged liquidity, volatility, regime and exit semantics.

14. Investigating successes and failures in middle-performing strategies

Only analyzing the highest-ranked winners repeats the selection process that may have generated those winners by chance. We instead examine the central tercile of variants with at least fifty completed Forward positions across at least five different trading days, ranked by observed mean net return, and inspect representative successes alongside representative failures.

Middle-tercile variant N / mean net % Successful path example Failed path example
scalp_1m_macd_impulse_micro 1,613 / -0.380% 2026-10-10 KRW-GMT +3.963% / TRAILING_STOP / L1 DEAD_CAT_BOUNCE__FLAT, 1H BROAD_RISK_ON__UP 2026-10-11 KRW-STX -2.987% / STOP_LOSS / L1 DEAD_CAT_BOUNCE__UP, 1H THIN_INFLOW__FLAT
scalp_1m_bullish_candle_impulse_macro 1,609 / -0.376% 2026-10-09 KRW-ATOM +5.277% / TRAILING_STOP / L1 DEAD_CAT_BOUNCE__UP, 1H THIN_INFLOW__STRONG_UP 2026-10-11 KRW-STX -2.806% / FAST_FAIL_BREAKOUT / L1 DEAD_CAT_BOUNCE__UP, 1H THIN_INFLOW__FLAT
scalp_1m_bullish_candle_impulse_micro 1,593 / -0.373% 2026-10-09 KRW-ATOM +4.928% / TRAILING_STOP / L1 DEAD_CAT_BOUNCE__UP, 1H THIN_INFLOW__STRONG_UP 2026-10-11 KRW-TOKAMAK -2.844% / FAST_FAIL_BREAKOUT / L1 DEAD_CAT_BOUNCE__DOWN, 1H DEAD_CAT_BOUNCE__FLAT
scalp_1m_ema_trend_micro 1,550 / -0.371% 2026-10-07 KRW-RAY +4.295% / TRAILING_STOP / L1 MIXED_REBOUND__DOWN, 1H PANIC_LIQUIDATION__STRONG_DOWN 2026-10-11 KRW-STX -2.816% / STOP_LOSS / L1 DEAD_CAT_BOUNCE__UP, 1H THIN_INFLOW__FLAT
scalp_1m_macd_impulse_macro 1,500 / -0.393% 2026-10-07 KRW-RAY +4.295% / TRAILING_STOP / L1 MIXED_REBOUND__DOWN, 1H PANIC_LIQUIDATION__STRONG_DOWN 2026-10-08 KRW-MET2 -2.727% / STOP_LOSS / L1 DEAD_CAT_BOUNCE__STRONG_UP, 1H FRAGILE_BREAKOUT__DOWN
scalp_1m_ema_trend_macro 1,309 / -0.359% 2026-10-09 KRW-ATOM +4.545% / TRAILING_STOP / L1 DEAD_CAT_BOUNCE__UP, 1H THIN_INFLOW__STRONG_UP 2026-10-09 KRW-DRV -3.992% / FAST_FAIL_BREAKOUT / L1 SELECTIVE_INFLOW__STRONG_UP, 1H DEAD_CAT_BOUNCE__STRONG_UP
scalp_1m_rsi_momentum_micro 1,248 / -0.382% 2026-10-08 KRW-JUP +4.019% / TIME_STOP / L1 DEAD_CAT_BOUNCE__FLAT, 1H PANIC_LIQUIDATION__UP 2026-10-11 KRW-STX -2.816% / STOP_LOSS / L1 DEAD_CAT_BOUNCE__UP, 1H THIN_INFLOW__FLAT
scalp_1m_rsi_momentum_macro 1,124 / -0.361% 2026-10-08 KRW-MET2 +3.961% / TRAILING_STOP / L1 BROAD_RISK_ON__FLAT, 1H BROAD_RISK_ON__STRONG_DOWN 2026-10-11 KRW-STX -2.987% / STOP_LOSS / L1 DEAD_CAT_BOUNCE__UP, 1H THIN_INFLOW__FLAT
scalp_1m_vwap_reclaim_macro 1,116 / -0.354% 2026-10-11 KRW-CPOOL +4.443% / TRAILING_STOP / L1 SELECTIVE_INFLOW__FLAT, 1H THIN_INFLOW__UP 2026-10-08 KRW-MET2 -2.315% / FAST_FAIL_BREAKOUT / L1 DEAD_CAT_BOUNCE__STRONG_UP, 1H FRAGILE_BREAKOUT__DOWN

Consider the broad DEAD_CAT_BOUNCE family. A winning position may have entered when the 1H market context was strengthening and captured subsequent expansion before a trailing exit. A losing position may have faced weak higher-horizon support and crossed its fixed or fast-fail stop before meaningful positive excursion. The same nominal L1 XY category can therefore contain both winners and losers.

These are illustrative path audits, not independent causal demonstrations. Many of the examples come from correlated Scalp variants trading the same asset-minute. The proper next step is matched-pair comparison within the same strategy, L1 state, approximate market volatility, liquidity and entry date, followed by examination of causal signal scores, executable prices and complete maximum favorable/adverse paths.

15. Why strong research scores did not necessarily become strong Forward or Actual returns

Evidence provenance comes before a model-version ranking. Validation data support feature, learner and threshold selection. A historical Holdout tests a previously withheld historical period; it ceases to be untouched once it has been inspected and used to guide subsequent research. Genuine Forward starts only after freezing the model and making new decisions on future data. Actual requires successful exchange execution and fee reconciliation.

15.1 V8 and risk-series R1 through R6

Research model Validation N / WR / mean net Historical Holdout/Blind N / WR / mean net Evidence separation
V8 536 / 92.54% / 4.972% 134 / 91.79% / 4.888% Separate tiny prospective sample
V8-R1 83 / 84.34% / 4.316% 26 / 69.23% / 3.139% Separate tiny prospective sample
V8-R2 72 / 93.06% / 5.041% 23 / 82.61% / 4.465% Separate tiny prospective sample
V8-R3 69 / 92.75% / 4.925% 21 / 76.19% / 3.768% Separate tiny prospective sample
V8-R4 62 / 98.39% / 5.459% 24 / 83.33% / 4.089% Separate tiny prospective sample
V8-R5 62 / 88.71% / 3.756% 24 / 83.33% / 2.676% Separate tiny prospective sample
V8-R6 47 / 91.49% / 3.315% 14 / 78.57% / 2.167% Separate tiny prospective sample

The old V8 historical Blind yielded 91.79% wins across 134 observations, but this was tied to an earlier feature and execution implementation. It was not reproduced as a corresponding rate under later corrected Feature Mart and order-execution conditions. The new baseline had only seven Forward closures at 42.86% win rate; V8-R6 had six at 33.33%; V8-R5 had eight at 62.5%. Every one of these prospective samples remains too small to settle model quality.

To explain the difference properly, start with the exact original model weights and the 529-feature schema. Replay complete causal as-of feature joins, frozen cross-sectional ranking, score floors, duplicate instrument handling, concurrent positions, reference next-1H-open assumptions and the +6% / −3% / 24-hour exit target on the same securities and decision times. Changing one condition can alter which signal is selected, the realized price and whether the event label itself is still comparable.

15.2 V8-R7, R8, R9 and R10 selective descendants

Research model Validation N / WR / mean net Historical Holdout/Blind N / WR / mean net Evidence separation
V8-R7 31 / 80.65% / 4.057% 28 / 71.43% / 3.336% Previously inspected period
V8-R8 30 / 90.00% / 4.859% 8 / 87.50% / 4.775% Previously inspected period
V8-R9 30 / 83.33% / 4.249% 21 / 80.95% / 4.329% Previously inspected period
V8-R10 31 / 80.65% / 4.057% 26 / 69.23% / 3.139% Previously inspected period

R8's apparent 87.5% holdout win rate amounts to seven wins among eight positions. R9's 80.95% holdout result has 21 positions. These are candidate-generating observations, not sufficient generalization evidence. R10's selected absolute 48-hour correlation cap was 1.0, effectively nonbinding for normal Pearson correlations.

R7–R10 were separately registered for prospective POTENTIAL/Forward paper execution on October 12. Their historic holdout trades are never transferred to Forward. The new cohort starts accumulating evidence only through new orders and their independently recorded regime keys.

15.3 V10: utility-aware LambdaMART and fragile validation gains

Research model Validation N / WR / mean net Historical Holdout/Blind N / WR / mean net Evidence separation
V10 739 / 78.62% / 3.713% 500 / 59.00% / 1.534% Previously inspected period
V10-R1 78 / 69.23% / 2.940% 65 / 40.00% / -0.185% Previously inspected period
V10-R2 52 / 96.15% / 5.239% 8 / 87.50% / 4.775% Previously inspected period
V10-R3 64 / 90.62% / 4.788% 20 / 75.00% / 2.992% Previously inspected period
V10-R4 64 / 95.31% / 5.361% 23 / 43.48% / 0.390% Previously inspected period
V10-R5 76 / 72.37% / 3.245% 65 / 40.00% / -0.185% Previously inspected period
V10-R6 43 / 79.07% / 2.378% 35 / 71.43% / 0.974% Previously inspected period
V10-R7 64 / 85.94% / 3.097% 23 / 43.48% / 0.248% Previously inspected period

The V10 baseline moved from approximately 78.62% Validation to 59.00% historically inspected Holdout. R4 moved from 95.31% to 43.48%. The gap is compatible with selection bias, distribution shift and changed execution opportunity, but the numbers alone do not identify which mechanism dominates. V10 has no qualifying new Forward or Actual observations in this audit.

15.4 V11: high-frequency, multi-resolution objectives

Research model Validation N / WR / mean net Historical Holdout/Blind N / WR / mean net Evidence separation
V11 61 / 52.46% / 0.049% 105 / 32.38% / -0.352% Previously inspected period
V11-R1 109 / 53.21% / 0.064% 145 / 42.76% / -0.145% Previously inspected period
V11-R2 30 / 60.00% / 0.200% 34 / 38.24% / -0.235% Previously inspected period
V11-R3 82 / 58.54% / 0.171% 95 / 45.26% / -0.095% Previously inspected period
V11-R4 25 / 64.00% / 0.280% 18 / 55.56% / 0.111% Previously inspected period
V11-R5 75 / 60.00% / 0.200% 62 / 50.00% / 0.000% Previously inspected period
V11-R6 26 / 65.38% / 0.308% 23 / 52.17% / 0.043% Previously inspected period
V11-R7 131 / 58.02% / 0.066% 160 / 50.00% / -0.146% Previously inspected period

V11 baseline Validation was 52.46%, versus 32.38% Holdout. Faster 5m decisions may improve temporal responsiveness, yet spread, orderbook depth, exchange fees, incomplete 1m/5m features and mismatch between model target and executable exit can swamp the theoretical advantage. V11 remains research-only without qualifying prospective Forward or exchange-confirmed Actual evidence.

15.5 Historical Primary reference versus later Forward for identical strategy IDs

Identical strategy ID Historical N/WR New Forward N/WR Win difference pp Mean net difference pp
quant_breakout_1h 217/53.92% 15/26.67% -27.250 -0.604
bearish_relative_rebound_1h 230/41.74% 26/57.69% +15.953 +0.680
ignition_breakout_1h 70/42.86% 88/48.86% +6.007 +0.092
ma20_reclaim_micro 2,754/42.70% 259/40.54% -2.161 -0.027

Only a small subset of IDs had a directly registered historical reference and enough later Forward observations for this basic comparison. It remains an uncontrolled contrast across different market windows, not a causal experiment. Different strategy IDs, selected model targets and date windows must never be combined just to create a large sample.

16. The system-level causal hypothesis graph

The complete explanatory chain is: market shock → X/Y/Z regime estimate → finalized candle and feature availability → causal feature joins → model score and candidate selection → available position slots and funding → executable orderbook and fill → subsequent maximum favorable/adverse excursion → stop, target or time exit → fees, dust and reconciliation → realized portfolio NAV.

An error early in the chain can invalidate every downstream inference. Correcting the classifier while the Feature Mart remains temporally inconsistent merely changes the model applied to uncertain inputs. Adding an L2 gate while fill prices differ from the exchange can create a visually impressive backtest while leaving actual losses unchanged.

The strict counterfactual standard is to hold the same signal ID, instrument, entry time, available market information and order constraints fixed while changing one candidate explanation. If a cause cannot be isolated at that resolution, classify it as a diagnostic hypothesis. Correlation between regime and outcomes or between an exit reason and losses does not alone identify a mechanism.

17. Prioritized action program with measurable acceptance criteria

P0 — establish trusted evidence and execution parity

P0-A: Finish causal Feature Mart integrity. Every 1m, 5m, 15m, 1H, 4H, 1D and 7D feature needs explicit candle open, candle close, finalized availability timestamp, causal as-of join definition and missingness reason. Audit all 57,334 invalid records by strategy, market and date. Acceptance: no unfinalized value can silently enter a fresh decision, and failed features cannot masquerade as valid Forward trades.

P0-B: Reconcile Upbit fills to signal and position IDs. Compare decision price, executable bid/ask, order type, actual fill price/quantity, tick rounding, fees, minimum order value, residual dust and exit reason. Acceptance: an auditable per-order gap ledger exists, with quantified unmatched signals and fully reconstructed net KRW PnL.

P0-C: Freeze research/production semantic parity. For V8, V10, V11 and their descendants, bind 529-feature schema or the appropriate variant schema, full feature computation and missingness policy, score ordering, learner hash, training target, position capacity, duplicate handling, stop/target ordering and maximum holding policy. Acceptance: identical causal data produce identical scores and candidate selection in research and Forward execution, or a precisely attributable difference.

P1 — establish additional market-regime information prospectively

P1-A: Preregister the estimator comparison. Record Sliding15, fixed majority, rolling and completed 15-minute candle methods at the same causal opportunities for at least thirty distinct trading days before making a decision. Test future-market direction, Brier/Log Loss improvement over bot-only, switching delay, adverse selection and true execution costs. Acceptance: a paired, asset/day-clustered improvement that replicates during another untouched period.

P1-B: Introduce hierarchical higher-horizon testing, not a speculative L2 gate. Test marginal 1H X/Y/Z terms, then 4H/1D/7D and only then a shrunk 15M×1H interaction when supported. Acceptance: adequate independent market days, uncertainty reported and ABSTAIN for inadequate cells. L2 stays outside automatic execution until validated.

P1-C: Identify the components of rising/falling expectancy. Replay identical candidate sets and separate regime mix, conditional regime performance, stale features, slippage, exit path and capacity. Acceptance: an improvement that remains positive after controlling the other components and persists in genuinely later data.

P2 — govern strategy search, capital and diagnostic replication

P2-A: Cluster Scalp variants into underlying market events. Attribute marginal value beyond the shared parent, allocate a real finite capital book, and compute exposure-weighted NAV, fees, turnover, time-in-market and marked-to-market drawdown rather than sums of overlapping paper account returns.

P2-B: Match successful and failed paths of middle-performing strategies. Condition on market regime, volatility, liquidity, instrument and entry timing, and inspect the complete post-entry path, real tick increments and implemented stop semantics.

P2-C: Enforce evidence abstention before live promotion. Neither an 80-cell search result, nor a 7/8 historic holdout win rate, nor a two-day Brier difference is sufficient justification for raising real-money risk. Missing observations, changed model schemas, stale features, unmatched fills and short market histories must be explicitly visible.

18. Overall interpretation and limitations

The XYZ80 taxonomy should be retained as a descriptive and auditing coordinate system. It has not yet been shown to be a reliable profitable filtering rule across the current collection of strategies. Primary Sliding15 reduces label flicker but has not demonstrated a repeatable incremental predictive benefit in the limited prospective samples here. Higher-order regime interactions are too sparse to support automatic deployment.

Data-quality failures in short-timeframe features, shared market shocks among many virtual strategies, mismatched exchange execution and historically inspected model-test periods are more actionable near-term bottlenecks than the mechanical creation of additional regime categories. The priority should be accurate evidence and execution parity, followed by controlled prospective tests of whether state information adds value.

The major limitations are fourteen observed Forward dates, seventeen noncontiguous Actual dates, thirteen future-market-direction evaluation dates, strong dependence between Scalp variants, market-window shifts, research-target incompatibility, small Actual subgroup samples, incomplete counterfactual outcomes for rejected candidates and selection after repeated historic inspection. The narrative distinguishes an observed association from an identified cause. It does not claim to have proved the existence of a profitable system.

19. Methodological references and reproducibility notes

  1. Brier, G. W. (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review. https://doi.org/10.1175/1520-0493(1950)078%3C0001:VOFEIT%3E2.0.CO;2
  2. Wilson, E. B. (1927). Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association. Wilson score confidence intervals.
  3. Benjamini, Y. & Hochberg, Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. JRSS Series B.
  4. Earlier native research: September 30 regime-cadence experiment and the historical V8, V10 and V11 model tournaments, whose inspected historical Holdouts remain historical.
  5. Primary empirical statistics are rebuilt from TradingBot Analysis Server trade journals and the entry-time causal regime fingerprints at the stated observation freeze. All principal numerical evidence and diagnostics are linked below.

Public source evidence and complete numerical annex


Appendix A. Census of all 1,077 strategy and research IDs

Rather than display only apparently successful models, this exhaustive index includes all configured, historically observed and research-only strategy identifiers. There are no account numbers or credentials. A zero count means no qualifying observed trade, not a zero hit rate. The machine-readable annex contains the complete strategy-by-L1/1H/4H/1D/7D conditional evidence matrix and relevant error-stage context.

Family Strategy/research ID Forward N Forward win % Forward mean net % Actual N Actual win % Actual mean net %
ADAPTIVE adaptive_breakout 0 — — 2 0.00 -2.6428
ADAPTIVE af_breakout_v0001 64 34.38 -1.8616 0 — —
ADAPTIVE af_breakout_v0001__smart_exit_a 46 28.26 -1.7879 0 — —
ADAPTIVE af_breakout_v0001__smart_exit_b 55 58.18 -0.8125 0 — —
ADAPTIVE af_breakout_v0001__smart_exit_c 57 50.88 -0.7955 0 — —
ADAPTIVE af_lead_lag_v0001 9 55.56 -0.2029 0 — —
ADAPTIVE af_liquidity_inflow_v0001 233 33.91 -0.9977 0 — —
ADAPTIVE af_liquidity_inflow_v0001__smart_exit_a 165 27.27 -0.9064 0 — —
ADAPTIVE af_liquidity_inflow_v0001__smart_exit_b 237 55.70 -0.3149 0 — —
ADAPTIVE af_liquidity_inflow_v0001__smart_exit_c 251 50.20 -0.3887 0 — —
ADAPTIVE af_mean_reversion_v0001 44 38.64 -0.3672 0 — —
ADAPTIVE af_mean_reversion_v0001__smart_exit_a 34 35.29 -0.2683 0 — —
ADAPTIVE af_mean_reversion_v0001__smart_exit_b 35 40.00 -0.4692 0 — —
ADAPTIVE af_mean_reversion_v0001__smart_exit_c 35 40.00 -0.4038 0 — —
ADAPTIVE af_momentum_v0001 210 32.38 -0.7148 0 — —
ADAPTIVE af_momentum_v0001__smart_exit_a 143 30.77 -0.4497 0 — —
ADAPTIVE af_momentum_v0001__smart_exit_b 197 49.75 -0.3130 0 — —
ADAPTIVE af_momentum_v0001__smart_exit_c 208 45.67 -0.3192 0 — —
ADAPTIVE af_predictive_model_c0005 73 53.42 0.5852 0 — —
ADAPTIVE af_predictive_model_v0001 53 50.94 0.3233 0 — —
ADAPTIVE af_predictive_model_v0001__smart_exit_a 35 45.71 0.1889 0 — —
ADAPTIVE af_predictive_model_v0001__smart_exit_b 62 74.19 0.6258 0 — —
ADAPTIVE af_predictive_model_v0001__smart_exit_c 68 70.59 0.4844 0 — —
ADAPTIVE af_pullback_reclaim_v0001 129 24.81 -0.7152 0 — —
ADAPTIVE af_pullback_reclaim_v0001__smart_exit_a 87 22.99 -0.5529 0 — —
ADAPTIVE af_pullback_reclaim_v0001__smart_exit_b 116 44.83 -0.4362 0 — —
ADAPTIVE af_pullback_reclaim_v0001__smart_exit_c 130 37.69 -0.4390 0 — —
ADAPTIVE af_relative_strength_rotation_v0001 180 34.44 -0.8008 0 — —
ADAPTIVE af_relative_strength_rotation_v0001__smart_exit_a 129 33.33 -0.4908 0 — —
ADAPTIVE af_relative_strength_rotation_v0001__smart_exit_b 217 54.38 -0.3322 0 — —
ADAPTIVE af_relative_strength_rotation_v0001__smart_exit_c 249 46.19 -0.3676 0 — —
ADAPTIVE af_six_pct_upside_prediction_v0001 38 36.84 -1.2923 0 — —
ADAPTIVE af_six_pct_upside_prediction_v0001__smart_exit_a 61 26.23 -0.5724 0 — —
ADAPTIVE af_six_pct_upside_prediction_v0001__smart_exit_b 66 66.67 -1.0636 0 — —
ADAPTIVE af_six_pct_upside_prediction_v0001__smart_exit_c 215 33.95 -0.7210 0 — —
ADAPTIVE af_volatility_expansion_v0001 108 23.15 -2.2372 0 — —
ADAPTIVE af_volatility_expansion_v0001__smart_exit_a 79 21.52 -1.8282 0 — —
ADAPTIVE af_volatility_expansion_v0001__smart_exit_b 95 49.47 -0.9533 0 — —
ADAPTIVE af_volatility_expansion_v0001__smart_exit_c 97 41.24 -0.9086 0 — —
CORE auto_ma20_reclaim_micro_1f53729c04 0 — — 0 — —
CORE auto_ma20_reclaim_micro_5e9925f9f9 0 — — 0 — —
CORE auto_ma20_reclaim_micro_b118e62c84 0 — — 1 0.00 -1.2729
CORE auto_persistent_expansion_runner__smart_entry_3f350ef7de 0 — — 0 — —
CORE auto_persistent_expansion_runner__smart_entry_45b2016dde 0 — — 0 — —
CORE auto_persistent_expansion_runner__smart_entry_571fc73772 0 — — 0 — —
CORE bearish_relative_rebound_1h 26 57.69 -0.0106 8 25.00 -1.3432
CORE bearish_relative_rebound_1h__feature_liquidity_positive 0 — — 0 — —
CORE bearish_relative_rebound_1h__smart_exit_a 45 28.89 -0.8409 0 — —
CORE bearish_relative_rebound_1h__smart_exit_b 16 62.50 0.1635 0 — —
CORE bearish_relative_rebound_1h__smart_exit_c 19 52.63 0.1140 0 — —
CORE bearish_relative_rebound_4h 1 0.00 -3.1353 4 25.00 -1.8756
CORE bearish_relative_rebound_4h__feature_liquidity_positive 0 — — 0 — —
CORE bearish_relative_rebound_4h__smart_exit_a 0 — — 0 — —
CORE bearish_relative_rebound_4h__smart_exit_b 1 100.00 0.0281 0 — —
CORE bearish_relative_rebound_4h__smart_exit_c 1 100.00 0.0281 0 — —
CORE bottom_impulse_first_rebreak 54 40.74 -0.2974 0 — —
CORE bottom_impulse_first_rebreak__smart_entry 0 — — 0 — —
CORE bottom_impulse_first_rebreak__smart_entry__smart_exit_a 0 — — 0 — —
CORE bottom_impulse_first_rebreak__smart_entry__smart_exit_b 0 — — 0 — —
CORE bottom_impulse_first_rebreak__smart_entry__smart_exit_c 0 — — 0 — —
CORE bottom_impulse_first_rebreak__smart_entry_b 0 — — 0 — —
CORE bottom_impulse_first_rebreak__smart_entry_b__smart_exit_a 0 — — 0 — —
CORE bottom_impulse_first_rebreak__smart_entry_b__smart_exit_b 0 — — 0 — —
CORE bottom_impulse_first_rebreak__smart_entry_b__smart_exit_c 0 — — 0 — —
CORE bottom_impulse_first_rebreak__smart_exit_a 57 38.60 -0.3679 0 — —
CORE bottom_impulse_first_rebreak__smart_exit_b 57 49.12 -0.3211 0 — —
CORE bottom_impulse_first_rebreak__smart_exit_c 57 47.37 -0.3014 0 — —
CORE bottom_impulse_first_rebreak__time_exit_a 0 — — 0 — —
CORE bottom_impulse_first_rebreak__time_exit_b 0 — — 0 — —
CORE bottom_impulse_reacceleration 46 41.30 -0.2842 0 — —
CORE bottom_impulse_reacceleration__smart_entry 0 — — 0 — —
CORE bottom_impulse_reacceleration__smart_entry__smart_exit_a 0 — — 0 — —
CORE bottom_impulse_reacceleration__smart_entry__smart_exit_b 0 — — 0 — —
CORE bottom_impulse_reacceleration__smart_entry__smart_exit_c 0 — — 0 — —
CORE bottom_impulse_reacceleration__smart_entry_b 0 — — 0 — —
CORE bottom_impulse_reacceleration__smart_entry_b__smart_exit_a 0 — — 0 — —
CORE bottom_impulse_reacceleration__smart_entry_b__smart_exit_b 0 — — 0 — —
CORE bottom_impulse_reacceleration__smart_entry_b__smart_exit_c 0 — — 0 — —
CORE bottom_impulse_reacceleration__smart_exit_a 10 50.00 0.0793 0 — —
CORE bottom_impulse_reacceleration__smart_exit_b 10 70.00 0.5153 0 — —
CORE bottom_impulse_reacceleration__smart_exit_c 10 70.00 0.6135 0 — —
CORE bottom_impulse_reacceleration__time_exit_a 0 — — 0 — —
CORE bottom_impulse_reacceleration__time_exit_b 0 — — 0 — —
CORE confirmed_momentum_breakout 6 16.67 -1.3248 0 — —
CORE confirmed_momentum_breakout__feature_liquidity_positive 0 — — 0 — —
CORE confirmed_momentum_breakout__smart_exit_a 0 — — 0 — —
CORE confirmed_momentum_breakout__smart_exit_b 0 — — 0 — —
CORE confirmed_momentum_breakout__smart_exit_c 0 — — 0 — —
CORE conservative_breakout 4 25.00 -1.2397 0 — —
CORE conservative_breakout__smart_exit_a 0 — — 0 — —
CORE conservative_breakout__smart_exit_b 0 — — 0 — —
CORE conservative_breakout__smart_exit_c 0 — — 0 — —
CORE elliott_wave3_core 57 19.30 -0.8265 0 — —
CORE elliott_wave3_core__smart_entry 48 29.17 -0.3134 0 — —
CORE elliott_wave3_core__smart_entry__smart_exit_a 58 24.14 -0.5481 0 — —
CORE elliott_wave3_core__smart_entry__smart_exit_b 68 45.59 -0.3513 0 — —
CORE elliott_wave3_core__smart_entry__smart_exit_c 68 42.65 -0.3325 0 — —
CORE elliott_wave3_core__smart_entry_b 0 — — 0 — —
CORE elliott_wave3_core__smart_entry_b__smart_exit_a 0 — — 0 — —
CORE elliott_wave3_core__smart_entry_b__smart_exit_b 0 — — 0 — —
CORE elliott_wave3_core__smart_entry_b__smart_exit_c 0 — — 0 — —
CORE elliott_wave3_core__smart_exit_a 67 14.93 -1.1817 0 — —
CORE elliott_wave3_core__smart_exit_b 71 39.44 -0.5202 0 — —
CORE elliott_wave3_core__smart_exit_c 71 35.21 -0.5657 0 — —
CORE elliott_wave3_core__time_exit_a 0 — — 0 — —
CORE elliott_wave3_core__time_exit_b 0 — — 0 — —
CORE feature_inference_core__time_exit_a 0 — — 0 — —
CORE feature_inference_core__time_exit_b 0 — — 0 — —
CORE feature_ml_threshold_strategy 0 — — 0 — —
CORE fibonacci_retracement_core 46 32.61 -0.6214 0 — —
CORE fibonacci_retracement_core__smart_entry 43 44.19 0.1393 0 — —
CORE fibonacci_retracement_core__smart_entry__smart_exit_a 53 35.85 -0.0622 0 — —
CORE fibonacci_retracement_core__smart_entry__smart_exit_b 54 53.70 -0.2496 0 — —
CORE fibonacci_retracement_core__smart_entry__smart_exit_c 55 47.27 -0.1254 0 — —
CORE fibonacci_retracement_core__smart_entry_b 0 — — 0 — —
CORE fibonacci_retracement_core__smart_entry_b__smart_exit_a 0 — — 0 — —
CORE fibonacci_retracement_core__smart_entry_b__smart_exit_b 0 — — 0 — —
CORE fibonacci_retracement_core__smart_entry_b__smart_exit_c 0 — — 0 — —
CORE fibonacci_retracement_core__smart_exit_a 54 27.78 -0.7233 0 — —
CORE fibonacci_retracement_core__smart_exit_b 55 43.64 -0.5423 0 — —
CORE fibonacci_retracement_core__smart_exit_c 55 40.00 -0.3208 0 — —
CORE fibonacci_retracement_core__time_exit_a 0 — — 0 — —
CORE fibonacci_retracement_core__time_exit_b 0 — — 0 — —
CORE ignition_breakout_1h 88 48.86 0.2573 10 10.00 -1.6842
CORE ignition_breakout_1h__smart_exit_a 0 — — 0 — —
CORE ignition_breakout_1h__smart_exit_b 0 — — 0 — —
CORE ignition_breakout_1h__smart_exit_c 0 — — 0 — —
CORE ignition_breakout_1h__time_exit_a 0 — — 0 — —
CORE ignition_breakout_1h__time_exit_b 0 — — 0 — —
CORE ignition_breakout_1h_persistent 114 31.58 -0.5183 4 25.00 -0.5536
CORE ignition_breakout_1h_persistent__smart_entry 0 — — 0 — —
CORE ignition_breakout_1h_persistent__smart_entry__smart_exit_a 0 — — 0 — —
CORE ignition_breakout_1h_persistent__smart_entry__smart_exit_b 0 — — 0 — —
CORE ignition_breakout_1h_persistent__smart_entry__smart_exit_c 0 — — 0 — —
CORE ignition_breakout_1h_persistent__smart_entry_b 91 45.05 -0.1683 0 — —
CORE ignition_breakout_1h_persistent__smart_entry_b__smart_exit_a 130 41.54 -0.2579 0 — —
CORE ignition_breakout_1h_persistent__smart_entry_b__smart_exit_b 130 33.85 -0.3521 0 — —
CORE ignition_breakout_1h_persistent__smart_entry_b__smart_exit_c 138 34.78 -0.3092 0 — —
CORE ignition_breakout_1h_persistent__smart_exit_a 136 30.15 -0.5037 0 — —
CORE ignition_breakout_1h_persistent__smart_exit_b 131 31.30 -0.5118 0 — —
CORE ignition_breakout_1h_persistent__smart_exit_c 136 27.21 -0.4851 0 — —
CORE ignition_breakout_1h_persistent__time_exit_a 0 — — 0 — —
CORE ignition_breakout_1h_persistent__time_exit_b 0 — — 0 — —
CORE laya_calibrated_strategy 0 — — 0 — —
CORE laya_raw_strategy 0 — — 0 — —
CORE lead_lag_v2_dynamic_exit 0 — — 0 — —
CORE leadlag_1m_ada_drv_lag3 0 — — 0 — —
CORE leadlag_1m_btc_cashcat_lag1 0 — — 0 — —
CORE leadlag_1m_btc_cashcat_lag1__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_btc_cc_lag1 0 — — 0 — —
CORE leadlag_1m_btc_cpool_lag10 0 — — 0 — —
CORE leadlag_1m_btc_eul_lag1 0 — — 0 — —
CORE leadlag_1m_btc_mantra_lag1 0 — — 0 — —
CORE leadlag_1m_btc_mon_lag2 0 — — 0 — —
CORE leadlag_1m_btc_mon_lag3 0 — — 0 — —
CORE leadlag_1m_btc_pump_lag2 0 — — 0 — —
CORE leadlag_1m_btc_pump_lag2__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_btc_pump_lag3 0 — — 0 — —
CORE leadlag_1m_btc_quid_lag10 0 — — 0 — —
CORE leadlag_1m_btc_quid_lag10__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_btc_sei_lag1 0 — — 0 — —
CORE leadlag_1m_btc_sei_lag1__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_btc_soon_lag5__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_doge_game2_lag15 0 — — 0 — —
CORE leadlag_1m_doge_hbar_lag1 0 — — 0 — —
CORE leadlag_1m_doge_wld_lag1 0 — — 0 — —
CORE leadlag_1m_eth_algo_lag2 0 — — 0 — —
CORE leadlag_1m_eth_algo_lag2__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_eth_arx_lag10 0 — — 0 — —
CORE leadlag_1m_eth_arx_lag10__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_eth_arx_lag2 0 — — 0 — —
CORE leadlag_1m_eth_arx_lag2__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_eth_edge_lag2 0 — — 0 — —
CORE leadlag_1m_eth_edge_lag2__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_eth_ena_lag1 0 — — 0 — —
CORE leadlag_1m_eth_grt_lag15 0 — — 0 — —
CORE leadlag_1m_eth_grt_lag15__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_eth_hbar_lag3 0 — — 0 — —
CORE leadlag_1m_eth_hbar_lag3__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_eth_pump_lag2 0 — — 0 — —
CORE leadlag_1m_eth_pump_lag2__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_eth_stx_lag2 0 — — 0 — —
CORE leadlag_1m_eth_trust_lag1 0 — — 0 — —
CORE leadlag_1m_eth_trust_lag1__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_sol_fold_lag1__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_sol_soon_lag1 0 — — 0 — —
CORE leadlag_1m_sol_w_lag1 0 — — 0 — —
CORE leadlag_1m_sol_w_lag1__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_xrp_2z_lag15 0 — — 0 — —
CORE leadlag_1m_xrp_drv_lag2 0 — — 0 — —
CORE leadlag_1m_xrp_drv_lag2__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_xrp_g_lag5 0 — — 0 — —
CORE leadlag_1m_xrp_in_lag2 0 — — 0 — —
CORE leadlag_1m_xrp_irys_lag5 0 — — 0 — —
CORE leadlag_1m_xrp_irys_lag5__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_xrp_pump_lag1 0 — — 0 — —
CORE leadlag_1m_xrp_soon_lag10 0 — — 0 — —
CORE leadlag_1m_xrp_soon_lag10__feature_inflow_nonnegative 0 — — 0 — —
CORE leadlag_1m_xrp_soon_lag3 0 — — 0 — —
CORE leadlag_event_1m_ada_bera 0 — — 0 — —
CORE leadlag_event_1m_ada_ethfi 0 — — 0 — —
CORE leadlag_event_1m_ada_icp 0 — — 0 — —
CORE leadlag_event_1m_ada_mega 0 — — 0 — —
CORE leadlag_event_1m_ada_plume 0 — — 0 — —
CORE leadlag_event_1m_ada_pros 0 — — 0 — —
CORE leadlag_event_1m_ada_syrup 0 — — 0 — —
CORE leadlag_event_1m_ada_tao 0 — — 0 — —
CORE leadlag_event_1m_btc_avnt 0 — — 0 — —
CORE leadlag_event_1m_btc_chz 0 — — 0 — —
CORE leadlag_event_1m_btc_cpool 0 — — 0 — —
CORE leadlag_event_1m_btc_cro 0 — — 0 — —
CORE leadlag_event_1m_btc_grt 0 — — 0 — —
CORE leadlag_event_1m_btc_in 0 — — 0 — —
CORE leadlag_event_1m_btc_jto 0 — — 0 — —
CORE leadlag_event_1m_btc_jup 0 — — 0 — —
CORE leadlag_event_1m_btc_la 0 — — 0 — —
CORE leadlag_event_1m_btc_mew 0 — — 0 — —
CORE leadlag_event_1m_btc_mon 0 — — 0 — —
CORE leadlag_event_1m_btc_ray 0 — — 0 — —
CORE leadlag_event_1m_btc_rvn 0 — — 0 — —
CORE leadlag_event_1m_btc_up2 0 — — 0 — —
CORE leadlag_event_1m_btc_zro 0 — — 0 — —
CORE leadlag_event_1m_doge_imx 0 — — 0 — —
CORE leadlag_event_1m_doge_mega 0 — — 0 — —
CORE leadlag_event_1m_doge_plume 0 — — 0 — —
CORE leadlag_event_1m_doge_vtho 0 — — 0 — —
CORE leadlag_event_1m_eth_ath 0 — — 0 — —
CORE leadlag_event_1m_eth_avnt 0 — — 0 — —
CORE leadlag_event_1m_eth_chip 0 — — 0 — —
CORE leadlag_event_1m_eth_comp 0 — — 0 — —
CORE leadlag_event_1m_eth_cp 0 — — 0 — —
CORE leadlag_event_1m_eth_elsa 0 — — 0 — —
CORE leadlag_event_1m_eth_grvt 0 — — 0 — —
CORE leadlag_event_1m_eth_icp 0 — — 0 — —
CORE leadlag_event_1m_eth_kaito 0 — — 0 — —
CORE leadlag_event_1m_eth_mega 0 — — 0 — —
CORE leadlag_event_1m_eth_pundix 0 — — 0 — —
CORE leadlag_event_1m_eth_re 0 — — 0 — —
CORE leadlag_event_1m_eth_red 0 — — 0 — —
CORE leadlag_event_1m_eth_spk 0 — — 0 — —
CORE leadlag_event_1m_sol_akt 0 — — 0 — —
CORE leadlag_event_1m_sol_avnt 0 — — 0 — —
CORE leadlag_event_1m_sol_birb 0 — — 0 — —
CORE leadlag_event_1m_sol_chip 0 — — 0 — —
CORE leadlag_event_1m_sol_crv 0 — — 0 — —
CORE leadlag_event_1m_sol_cyber 0 — — 0 — —
CORE leadlag_event_1m_sol_ethfi 0 — — 0 — —
CORE leadlag_event_1m_sol_grt 0 — — 0 — —
CORE leadlag_event_1m_sol_linea 0 — — 0 — —
CORE leadlag_event_1m_sol_mon 0 — — 0 — —
CORE leadlag_event_1m_sol_sand 0 — — 0 — —
CORE leadlag_event_1m_sol_tao 0 — — 0 — —
CORE leadlag_event_1m_sol_tia 0 — — 0 — —
CORE leadlag_event_1m_xrp_akt 0 — — 0 — —
CORE leadlag_event_1m_xrp_blur 0 — — 0 — —
CORE leadlag_event_1m_xrp_bsv 0 — — 0 — —
CORE leadlag_event_1m_xrp_comp 0 — — 0 — —
CORE leadlag_event_1m_xrp_dos 0 — — 0 — —
CORE leadlag_event_1m_xrp_dot 0 — — 0 — —
CORE leadlag_event_1m_xrp_elsa 0 — — 0 — —
CORE leadlag_event_1m_xrp_era 0 — — 0 — —
CORE leadlag_event_1m_xrp_ethfi 0 — — 0 — —
CORE leadlag_event_1m_xrp_f 0 — — 0 — —
CORE leadlag_event_1m_xrp_holo 0 — — 0 — —
CORE leadlag_event_1m_xrp_home 0 — — 0 — —
CORE leadlag_event_1m_xrp_icp 0 — — 0 — —
CORE leadlag_event_1m_xrp_linea 0 — — 0 — —
CORE leadlag_event_1m_xrp_mega 0 — — 0 — —
CORE leadlag_event_1m_xrp_ray 0 — — 0 — —
CORE leadlag_event_1m_xrp_spk 0 — — 0 — —
CORE leadlag_event_1m_xrp_syrup 0 — — 0 — —
CORE leadlag_event_1m_xrp_zkc 0 — — 0 — —
CORE leadlag_event_1m_xrp_zora 0 — — 0 — —
CORE ma20_reclaim_micro 259 40.54 -0.3617 21 61.91 -0.2891
CORE ma20_reclaim_micro__feature_inflow_nonnegative 0 — — 0 — —
CORE ma20_reclaim_micro__smart_exit_a 0 — — 0 — —
CORE ma20_reclaim_micro__smart_exit_b 0 — — 0 — —
CORE ma20_reclaim_micro__smart_exit_c 0 — — 0 — —
CORE ma20_reclaim_micro__time_exit_a 0 — — 0 — —
CORE ma20_reclaim_micro__time_exit_b 0 — — 0 — —
CORE ma20_reclaim_selective 13 30.77 -0.6158 0 — —
CORE ma20_reclaim_selective__smart_exit_a 16 37.50 -0.3398 0 — —
CORE ma20_reclaim_selective__smart_exit_b 16 31.25 -0.5207 0 — —
CORE ma20_reclaim_selective__smart_exit_c 16 31.25 -0.3986 0 — —
CORE ma20_reclaim_selective__time_exit_a 0 — — 0 — —
CORE ma20_reclaim_selective__time_exit_b 0 — — 0 — —
CORE persistent_expansion_runner 98 33.67 -0.6508 0 — —
CORE persistent_expansion_runner__smart_entry 85 43.53 -0.0404 0 — —
CORE persistent_expansion_runner__smart_entry__smart_exit_a 12 66.67 1.0905 0 — —
CORE persistent_expansion_runner__smart_entry__smart_exit_b 14 64.29 0.5277 0 — —
CORE persistent_expansion_runner__smart_entry__smart_exit_c 15 60.00 0.6356 0 — —
CORE persistent_expansion_runner__smart_entry_b 0 — — 0 — —
CORE persistent_expansion_runner__smart_entry_b__smart_exit_a 0 — — 0 — —
CORE persistent_expansion_runner__smart_entry_b__smart_exit_b 0 — — 0 — —
CORE persistent_expansion_runner__smart_entry_b__smart_exit_c 0 — — 0 — —
CORE persistent_expansion_runner__smart_exit_a 12 58.33 0.8057 0 — —
CORE persistent_expansion_runner__smart_exit_b 13 69.23 0.7675 0 — —
CORE persistent_expansion_runner__smart_exit_c 13 69.23 0.9875 0 — —
CORE persistent_expansion_runner__time_exit_a 0 — — 0 — —
CORE persistent_expansion_runner__time_exit_b 0 — — 0 — —
CORE quant_breakout_1h__time_exit_a 0 — — 0 — —
CORE quant_breakout_1h__time_exit_b 0 — — 0 — —
CORE quant_breakout_1h_shadow_060 0 — — 0 — —
CORE quant_breakout_1h_shadow_070 0 — — 0 — —
CORE quant_breakout_4h__feature_inflow_expansion 0 — — 0 — —
CORE quant_breakout_4h__feature_liquidity_positive 0 — — 0 — —
CORE realtime_resistance_breakout_research 0 — — 0 — —
CORE runner_continuation_confirmation 78 43.59 -0.2084 3 0.00 -2.7636
CORE runner_continuation_confirmation__smart_entry 0 — — 0 — —
CORE runner_continuation_confirmation__smart_entry__smart_exit_a 0 — — 0 — —
CORE runner_continuation_confirmation__smart_entry__smart_exit_b 0 — — 0 — —
CORE runner_continuation_confirmation__smart_entry__smart_exit_c 0 — — 0 — —
CORE runner_continuation_confirmation__smart_entry_b 0 — — 0 — —
CORE runner_continuation_confirmation__smart_entry_b__smart_exit_a 0 — — 0 — —
CORE runner_continuation_confirmation__smart_entry_b__smart_exit_b 0 — — 0 — —
CORE runner_continuation_confirmation__smart_entry_b__smart_exit_c 0 — — 0 — —
CORE runner_continuation_confirmation__smart_exit_a 0 — — 0 — —
CORE runner_continuation_confirmation__smart_exit_b 0 — — 0 — —
CORE runner_continuation_confirmation__smart_exit_c 0 — — 0 — —
CORE runner_continuation_confirmation__time_exit_a 0 — — 0 — —
CORE runner_continuation_confirmation__time_exit_b 0 — — 0 — —
CORE runner_elevated_liquidity 109 34.86 -0.3595 1 0.00 -2.8194
CORE runner_elevated_liquidity__smart_entry 93 43.01 0.0746 0 — —
CORE runner_elevated_liquidity__smart_entry__smart_exit_a 127 38.58 -0.1480 0 — —
CORE runner_elevated_liquidity__smart_entry__smart_exit_b 43 53.49 0.0888 0 — —
CORE runner_elevated_liquidity__smart_entry__smart_exit_c 43 53.49 0.2115 0 — —
CORE runner_elevated_liquidity__smart_entry_b 0 — — 0 — —
CORE runner_elevated_liquidity__smart_entry_b__smart_exit_a 0 — — 0 — —
CORE runner_elevated_liquidity__smart_entry_b__smart_exit_b 0 — — 0 — —
CORE runner_elevated_liquidity__smart_entry_b__smart_exit_c 0 — — 0 — —
CORE runner_elevated_liquidity__smart_exit_a 142 33.10 -0.4135 2 50.00 1.1480
CORE runner_elevated_liquidity__smart_exit_b 142 44.37 -0.4087 2 100.00 1.0023
CORE runner_elevated_liquidity__smart_exit_c 46 50.00 0.0026 0 — —
CORE runner_elevated_liquidity__time_exit_a 0 — — 0 — —
CORE runner_elevated_liquidity__time_exit_b 0 — — 0 — —
CORE sideways_to_uptrend_transition 4 25.00 -0.6165 0 — —
CORE sideways_to_uptrend_transition__smart_entry 4 25.00 -0.4779 0 — —
CORE sideways_to_uptrend_transition__smart_entry__smart_exit_a 6 16.67 -0.5868 0 — —
CORE sideways_to_uptrend_transition__smart_entry__smart_exit_b 6 50.00 -0.2669 0 — —
CORE sideways_to_uptrend_transition__smart_entry__smart_exit_c 6 33.33 -0.4731 0 — —
CORE sideways_to_uptrend_transition__smart_entry_b 4 25.00 -0.4779 0 — —
CORE sideways_to_uptrend_transition__smart_entry_b__smart_exit_a 6 16.67 -0.5868 0 — —
CORE sideways_to_uptrend_transition__smart_entry_b__smart_exit_b 6 50.00 -0.2236 0 — —
CORE sideways_to_uptrend_transition__smart_entry_b__smart_exit_c 6 33.33 -0.4731 0 — —
CORE sideways_to_uptrend_transition__smart_exit_a 6 16.67 -0.6825 0 — —
CORE sideways_to_uptrend_transition__smart_exit_b 6 33.33 -0.5690 0 — —
CORE sideways_to_uptrend_transition__smart_exit_c 6 16.67 -0.8179 0 — —
CORE sideways_to_uptrend_transition__time_exit_a 0 — — 0 — —
CORE sideways_to_uptrend_transition__time_exit_b 0 — — 0 — —
LEAD_LAG leadlag_1m_btc_0g_lag5 1 0.00 -0.7561 0 — —
LEAD_LAG leadlag_1m_btc_bera_lag5 1 100.00 0.4794 0 — —
LEAD_LAG leadlag_1m_btc_cashcat_lag3 1 100.00 0.3113 0 — —
LEAD_LAG leadlag_1m_btc_crv_lag2 1 0.00 -0.4800 0 — —
LEAD_LAG leadlag_1m_btc_drv_lag3 1 100.00 0.2829 0 — —
LEAD_LAG leadlag_1m_btc_hbar_lag15 1 0.00 -0.1000 0 — —
LEAD_LAG leadlag_1m_btc_soon_lag10 1 0.00 -0.8360 0 — —
LEAD_LAG leadlag_1m_btc_soon_lag5 4 75.00 0.5389 0 — —
LEAD_LAG leadlag_1m_eth_algo_lag5 1 0.00 -1.2044 0 — —
LEAD_LAG leadlag_1m_eth_ark_lag1 1 100.00 1.4299 0 — —
LEAD_LAG leadlag_1m_eth_ark_lag5 2 100.00 0.3930 0 — —
LEAD_LAG leadlag_1m_eth_fold_lag3 3 66.67 0.1102 0 — —
LEAD_LAG leadlag_1m_eth_lsk_lag1 1 100.00 0.6534 0 — —
LEAD_LAG leadlag_1m_eth_mew_lag5 1 0.00 -0.1000 0 — —
LEAD_LAG leadlag_1m_eth_soon_lag15 1 100.00 0.2193 0 — —
LEAD_LAG leadlag_1m_eth_trac_lag5 1 100.00 1.4967 0 — —
LEAD_LAG leadlag_1m_eth_xpl_lag3 1 100.00 0.6349 0 — —
LEAD_LAG leadlag_1m_sol_fold_lag1 1 0.00 -0.6228 0 — —
LEAD_LAG leadlag_1m_sol_soon_lag3 1 100.00 0.3217 0 — —
LEAD_LAG leadlag_1m_xrp_0g_lag10 2 100.00 0.8736 0 — —
LEAD_LAG leadlag_1m_xrp_fold_lag1 1 0.00 -0.1000 0 — —
LEAD_LAG leadlag_1m_xrp_fold_lag15 1 0.00 -0.7280 0 — —
LEAD_LAG leadlag_1m_xrp_soon_lag15 2 50.00 0.2442 0 — —
LEAD_LAG leadlag_1m_xrp_soon_lag2 2 50.00 -0.0974 0 — —
LEAD_LAG leadlag_1m_xrp_wld_lag1 2 50.00 0.1772 0 — —
LEAD_LAG leadlag_1m_xrp_wld_lag5 1 100.00 0.0364 0 — —
ML V10 0 — — 0 — —
ML V10-R1 0 — — 0 — —
ML V10-R2 0 — — 0 — —
ML V10-R3 0 — — 0 — —
ML V10-R4 0 — — 0 — —
ML V10-R5 0 — — 0 — —
ML V10-R6 0 — — 0 — —
ML V10-R7 0 — — 0 — —
ML V11 0 — — 0 — —
ML V11-R1 0 — — 0 — —
ML V11-R2 0 — — 0 — —
ML V11-R3 0 — — 0 — —
ML V11-R4 0 — — 0 — —
ML V11-R5 0 — — 0 — —
ML V11-R6 0 — — 0 — —
ML V11-R7 0 — — 0 — —
ML feature_inference_core 37 40.54 -0.0674 0 — —
ML feature_inference_core__smart_entry 0 — — 0 — —
ML feature_inference_core__smart_entry__smart_exit_a 0 — — 0 — —
ML feature_inference_core__smart_entry__smart_exit_b 0 — — 0 — —
ML feature_inference_core__smart_entry__smart_exit_c 0 — — 0 — —
ML feature_inference_core__smart_entry_b 0 — — 0 — —
ML feature_inference_core__smart_entry_b__smart_exit_a 0 — — 0 — —
ML feature_inference_core__smart_entry_b__smart_exit_b 0 — — 0 — —
ML feature_inference_core__smart_entry_b__smart_exit_c 0 — — 0 — —
ML feature_inference_core__smart_exit_a 0 — — 0 — —
ML feature_inference_core__smart_exit_b 0 — — 0 — —
ML feature_inference_core__smart_exit_c 0 — — 0 — —
ML high_conviction_asymmetric_v1 12 41.67 0.3154 0 — —
ML high_conviction_asymmetric_v1__smart_exit_a 12 33.33 -0.1813 0 — —
ML high_conviction_asymmetric_v1__smart_exit_b 12 50.00 -1.0502 0 — —
ML high_conviction_asymmetric_v1__smart_exit_c 18 50.00 -0.4019 0 — —
ML high_conviction_competing_risk_v3 16 25.00 -0.3223 0 — —
ML high_conviction_competing_risk_v3__smart_exit_a 21 28.57 -1.0952 0 — —
ML high_conviction_competing_risk_v3__smart_exit_b 16 68.75 0.2083 0 — —
ML high_conviction_competing_risk_v3__smart_exit_c 33 24.24 -1.2396 0 — —
ML high_conviction_failure_vote_v2 14 28.57 -0.7340 0 — —
ML high_conviction_failure_vote_v2__smart_exit_a 14 21.43 -0.4814 0 — —
ML high_conviction_failure_vote_v2__smart_exit_b 13 38.46 -1.1914 0 — —
ML high_conviction_failure_vote_v2__smart_exit_c 19 31.58 -0.9190 0 — —
ML high_conviction_v8_lambdarank 7 42.86 0.3325 0 — —
ML high_conviction_v8_r10_correlation_aware 0 — — 0 — —
ML high_conviction_v8_r1_capacity_aware 5 60.00 0.5869 0 — —
ML high_conviction_v8_r2_concentrated_rank 5 60.00 0.5869 0 — —
ML high_conviction_v8_r3_failure_risk_veto 4 75.00 1.7297 0 — —
ML high_conviction_v8_r4_risk_aware_rank 5 60.00 2.3719 0 — —
ML high_conviction_v8_r5_smart_exit 8 62.50 1.7079 0 — —
ML high_conviction_v8_r6_cash_rotation 6 33.33 0.0891 0 — —
ML high_conviction_v8_r7_robust_ensemble 0 — — 0 — —
ML high_conviction_v8_r8_meta_label 0 — — 0 — —
ML high_conviction_v8_r9_market_fertility 0 — — 0 — —
ML ml_breakout_observer 0 — — 0 — —
ML ml_breakout_observer__smart_exit_a 0 — — 0 — —
ML ml_breakout_observer__smart_exit_b 0 — — 0 — —
ML ml_breakout_observer__smart_exit_c 0 — — 0 — —
ML ml_breakout_predictor 0 — — 0 — —
ML ml_breakout_predictor__smart_exit_a 0 — — 0 — —
ML ml_breakout_predictor__smart_exit_b 0 — — 0 — —
ML ml_breakout_predictor__smart_exit_c 0 — — 0 — —
ML quant_breakout_1h 15 26.67 -0.4213 12 41.67 -0.1606
ML quant_breakout_1h__smart_entry 0 — — 0 — —
ML quant_breakout_1h__smart_entry__smart_exit_a 0 — — 0 — —
ML quant_breakout_1h__smart_entry__smart_exit_b 0 — — 0 — —
ML quant_breakout_1h__smart_entry__smart_exit_c 0 — — 0 — —
ML quant_breakout_1h__smart_entry_b 0 — — 0 — —
ML quant_breakout_1h__smart_entry_b__smart_exit_a 0 — — 0 — —
ML quant_breakout_1h__smart_entry_b__smart_exit_b 0 — — 0 — —
ML quant_breakout_1h__smart_entry_b__smart_exit_c 0 — — 0 — —
ML quant_breakout_1h__smart_exit_a 0 — — 0 — —
ML quant_breakout_1h__smart_exit_b 0 — — 0 — —
ML quant_breakout_1h__smart_exit_c 0 — — 0 — —
ML quant_breakout_1h_shadow_065 3 33.33 -0.2150 0 — —
ML quant_breakout_1h_shadow_065__smart_entry 3 33.33 -0.1046 0 — —
ML quant_breakout_1h_shadow_065__smart_entry__smart_exit_a 3 33.33 -0.1046 0 — —
ML quant_breakout_1h_shadow_065__smart_entry__smart_exit_b 3 33.33 -0.1046 0 — —
ML quant_breakout_1h_shadow_065__smart_entry__smart_exit_c 3 33.33 -0.0960 0 — —
ML quant_breakout_1h_shadow_065__smart_entry_b 3 33.33 -0.1146 0 — —
ML quant_breakout_1h_shadow_065__smart_entry_b__smart_exit_a 3 33.33 -0.1060 0 — —
ML quant_breakout_1h_shadow_065__smart_entry_b__smart_exit_b 3 33.33 -0.0716 0 — —
ML quant_breakout_1h_shadow_065__smart_entry_b__smart_exit_c 3 33.33 -0.1060 0 — —
ML quant_breakout_1h_shadow_065__smart_exit_a 3 33.33 -0.2236 0 — —
ML quant_breakout_1h_shadow_065__smart_exit_b 3 33.33 -0.2236 0 — —
ML quant_breakout_1h_shadow_065__smart_exit_c 3 33.33 -0.2236 0 — —
ML quant_breakout_4h 5 60.00 -0.0815 0 — —
ML quant_breakout_4h__smart_exit_a 9 66.67 1.2149 0 — —
ML quant_breakout_4h__smart_exit_b 9 55.56 -0.1263 0 — —
ML quant_breakout_4h__smart_exit_c 9 55.56 -0.0594 0 — —
SCALP scalp_1m_bb_mean_reversion_macro 185 24.32 -0.3286 0 — —
SCALP scalp_1m_bb_mean_reversion_macro__smart_exit_a 90 22.22 -0.3547 0 — —
SCALP scalp_1m_bb_mean_reversion_macro__smart_exit_b 90 22.22 -0.3535 0 — —
SCALP scalp_1m_bb_mean_reversion_macro__smart_exit_c 93 23.66 -0.3220 0 — —
SCALP scalp_1m_bb_mean_reversion_macro_discovery 6 33.33 -0.1933 0 — —
SCALP scalp_1m_bb_mean_reversion_macro_discovery__smart_exit_a 4 25.00 -0.1527 0 — —
SCALP scalp_1m_bb_mean_reversion_macro_discovery__smart_exit_b 4 25.00 -0.1938 0 — —
SCALP scalp_1m_bb_mean_reversion_macro_discovery__smart_exit_c 4 0.00 -0.4212 0 — —
SCALP scalp_1m_bb_mean_reversion_macro_fast_discovery 14 21.43 -0.4399 0 — —
SCALP scalp_1m_bb_mean_reversion_macro_fast_discovery__smart_exit_a 8 0.00 -0.4987 0 — —
SCALP scalp_1m_bb_mean_reversion_macro_fast_discovery__smart_exit_b 8 12.50 -0.3948 0 — —
SCALP scalp_1m_bb_mean_reversion_macro_fast_discovery__smart_exit_c 8 0.00 -0.4987 0 — —
SCALP scalp_1m_bb_mean_reversion_micro 134 26.12 -0.3094 0 — —
SCALP scalp_1m_bb_mean_reversion_micro__smart_exit_a 4 50.00 -0.0665 0 — —
SCALP scalp_1m_bb_mean_reversion_micro__smart_exit_b 4 50.00 0.0964 0 — —
SCALP scalp_1m_bb_mean_reversion_micro__smart_exit_c 4 50.00 0.0005 0 — —
SCALP scalp_1m_bb_mean_reversion_micro_discovery 5 40.00 -0.1453 0 — —
SCALP scalp_1m_bb_mean_reversion_micro_discovery__smart_exit_a 4 0.00 -0.3296 0 — —
SCALP scalp_1m_bb_mean_reversion_micro_discovery__smart_exit_b 4 0.00 -0.3296 0 — —
SCALP scalp_1m_bb_mean_reversion_micro_discovery__smart_exit_c 4 0.00 -0.3296 0 — —
SCALP scalp_1m_bb_mean_reversion_micro_fast_discovery 13 23.08 -0.3555 0 — —
SCALP scalp_1m_bb_mean_reversion_micro_fast_discovery__smart_exit_a 4 0.00 -0.4267 0 — —
SCALP scalp_1m_bb_mean_reversion_micro_fast_discovery__smart_exit_b 4 0.00 -0.4151 0 — —
SCALP scalp_1m_bb_mean_reversion_micro_fast_discovery__smart_exit_c 4 0.00 -0.4267 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro 571 25.39 -0.3261 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro__smart_exit_a 321 24.92 -0.3498 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro__smart_exit_b 320 25.31 -0.3508 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro__smart_exit_c 318 25.16 -0.3504 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro_discovery 12 33.33 -0.3717 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro_discovery__smart_exit_a 9 22.22 -0.4264 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro_discovery__smart_exit_b 9 33.33 -0.3920 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro_discovery__smart_exit_c 9 11.11 -0.4977 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro_fast_discovery 40 35.00 -0.2860 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro_fast_discovery__smart_exit_a 23 17.39 -0.3539 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro_fast_discovery__smart_exit_b 23 13.04 -0.3618 0 — —
SCALP scalp_1m_bb_squeeze_breakout_macro_fast_discovery__smart_exit_c 23 13.04 -0.3779 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro 658 25.23 -0.3196 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro__acceptance_confirmed 126 27.78 -0.3258 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro__acceptance_confirmed__smart_exit_a 107 21.50 -0.3580 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro__acceptance_confirmed__smart_exit_b 104 27.89 -0.3810 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro__acceptance_confirmed__smart_exit_c 105 22.86 -0.3694 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro__smart_exit_a 376 20.21 -0.3595 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro__smart_exit_b 371 24.26 -0.3638 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro__smart_exit_c 378 20.37 -0.3561 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro_discovery 15 20.00 -0.4456 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro_discovery__smart_exit_a 10 30.00 -0.4449 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro_discovery__smart_exit_b 10 20.00 -0.4725 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro_discovery__smart_exit_c 10 20.00 -0.4732 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro_fast_discovery 46 32.61 -0.2425 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro_fast_discovery__smart_exit_a 20 10.00 -0.4325 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro_fast_discovery__smart_exit_b 20 10.00 -0.3663 0 — —
SCALP scalp_1m_bb_squeeze_breakout_micro_fast_discovery__smart_exit_c 20 5.00 -0.4464 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro 1,609 22.25 -0.3759 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro__smart_exit_a 1,098 22.40 -0.3871 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro__smart_exit_b 1,100 23.36 -0.3688 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro__smart_exit_c 1,088 22.89 -0.3732 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro_discovery 51 23.53 -0.3915 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro_discovery__smart_exit_a 41 19.51 -0.4018 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro_discovery__smart_exit_b 41 19.51 -0.3971 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro_discovery__smart_exit_c 41 12.20 -0.4232 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro_fast_discovery 92 26.09 -0.3540 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro_fast_discovery__smart_exit_a 51 13.72 -0.4456 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro_fast_discovery__smart_exit_b 51 21.57 -0.3964 0 — —
SCALP scalp_1m_bullish_candle_impulse_macro_fast_discovery__smart_exit_c 49 20.41 -0.3998 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro 1,593 22.54 -0.3735 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro__smart_exit_a 1,028 22.76 -0.3854 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro__smart_exit_b 1,023 22.39 -0.3903 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro__smart_exit_c 1,023 22.09 -0.3952 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro_discovery 47 14.89 -0.4493 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro_discovery__smart_exit_a 37 10.81 -0.4554 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro_discovery__smart_exit_b 37 8.11 -0.4828 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro_discovery__smart_exit_c 36 5.56 -0.4817 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro_fast_discovery 103 27.18 -0.3392 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro_fast_discovery__smart_exit_a 56 14.29 -0.4154 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro_fast_discovery__smart_exit_b 56 19.64 -0.3756 0 — —
SCALP scalp_1m_bullish_candle_impulse_micro_fast_discovery__smart_exit_c 57 14.04 -0.3964 0 — —
SCALP scalp_1m_donchian_breakout_macro 842 25.77 -0.3574 0 — —
SCALP scalp_1m_donchian_breakout_macro__acceptance_confirmed 242 19.84 -0.4585 0 — —
SCALP scalp_1m_donchian_breakout_macro__acceptance_confirmed__smart_exit_a 203 17.24 -0.4296 0 — —
SCALP scalp_1m_donchian_breakout_macro__acceptance_confirmed__smart_exit_b 203 24.63 -0.4184 0 — —
SCALP scalp_1m_donchian_breakout_macro__acceptance_confirmed__smart_exit_c 200 21.50 -0.3749 0 — —
SCALP scalp_1m_donchian_breakout_macro__continuation_hold 161 15.53 -0.4563 0 — —
SCALP scalp_1m_donchian_breakout_macro__continuation_hold__smart_exit_a 103 11.65 -0.5347 0 — —
SCALP scalp_1m_donchian_breakout_macro__continuation_hold__smart_exit_b 104 25.00 -0.4930 0 — —
SCALP scalp_1m_donchian_breakout_macro__continuation_hold__smart_exit_c 102 24.51 -0.4392 0 — —
SCALP scalp_1m_donchian_breakout_macro__smart_exit_a 457 22.54 -0.3863 0 — —
SCALP scalp_1m_donchian_breakout_macro__smart_exit_b 460 23.26 -0.3930 0 — —
SCALP scalp_1m_donchian_breakout_macro__smart_exit_c 461 22.13 -0.3868 0 — —
SCALP scalp_1m_donchian_breakout_macro_discovery 26 23.08 -0.3571 0 — —
SCALP scalp_1m_donchian_breakout_macro_discovery__smart_exit_a 17 11.77 -0.4566 0 — —
SCALP scalp_1m_donchian_breakout_macro_discovery__smart_exit_b 17 23.53 -0.2928 0 — —
SCALP scalp_1m_donchian_breakout_macro_discovery__smart_exit_c 17 5.88 -0.4661 0 — —
SCALP scalp_1m_donchian_breakout_macro_fast_discovery 61 36.07 -0.2995 0 — —
SCALP scalp_1m_donchian_breakout_macro_fast_discovery__smart_exit_a 27 22.22 -0.3302 0 — —
SCALP scalp_1m_donchian_breakout_macro_fast_discovery__smart_exit_b 27 22.22 -0.3180 0 — —
SCALP scalp_1m_donchian_breakout_macro_fast_discovery__smart_exit_c 27 22.22 -0.3060 0 — —
SCALP scalp_1m_donchian_breakout_micro 1,004 26.30 -0.3531 0 — —
SCALP scalp_1m_donchian_breakout_micro__smart_exit_a 511 24.66 -0.3978 0 — —
SCALP scalp_1m_donchian_breakout_micro__smart_exit_b 510 24.71 -0.3927 0 — —
SCALP scalp_1m_donchian_breakout_micro__smart_exit_c 511 24.85 -0.3853 0 — —
SCALP scalp_1m_donchian_breakout_micro_discovery 26 15.38 -0.4418 0 — —
SCALP scalp_1m_donchian_breakout_micro_discovery__smart_exit_a 15 6.67 -0.5762 0 — —
SCALP scalp_1m_donchian_breakout_micro_discovery__smart_exit_b 15 13.33 -0.4221 0 — —
SCALP scalp_1m_donchian_breakout_micro_discovery__smart_exit_c 16 0.00 -0.5746 0 — —
SCALP scalp_1m_donchian_breakout_micro_fast_discovery 76 28.95 -0.3138 0 — —
SCALP scalp_1m_donchian_breakout_micro_fast_discovery__smart_exit_a 33 15.15 -0.4166 0 — —
SCALP scalp_1m_donchian_breakout_micro_fast_discovery__smart_exit_b 33 15.15 -0.4006 0 — —
SCALP scalp_1m_donchian_breakout_micro_fast_discovery__smart_exit_c 33 12.12 -0.3943 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro 935 27.06 -0.3375 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro__smart_exit_a 534 26.59 -0.3681 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro__smart_exit_b 530 26.79 -0.3580 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro__smart_exit_c 531 26.74 -0.3443 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro_discovery 35 31.43 -0.3416 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro_discovery__smart_exit_a 26 7.69 -0.6192 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro_discovery__smart_exit_b 26 15.38 -0.4157 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro_discovery__smart_exit_c 26 7.69 -0.5438 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro_fast_discovery 164 33.54 -0.2852 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro_fast_discovery__smart_exit_a 104 32.69 -0.2560 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro_fast_discovery__smart_exit_b 104 31.73 -0.2688 0 — —
SCALP scalp_1m_ema_pullback_reclaim_macro_fast_discovery__smart_exit_c 106 28.30 -0.2526 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro 1,177 27.02 -0.3403 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro__smart_exit_a 723 24.48 -0.3992 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro__smart_exit_b 715 25.18 -0.3910 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro__smart_exit_c 710 24.79 -0.3894 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro_discovery 42 26.19 -0.4511 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro_discovery__smart_exit_a 31 12.90 -0.5537 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro_discovery__smart_exit_b 31 25.81 -0.3636 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro_discovery__smart_exit_c 31 16.13 -0.4600 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro_fast_discovery 220 31.82 -0.3585 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro_fast_discovery__smart_exit_a 138 28.26 -0.3190 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro_fast_discovery__smart_exit_b 140 32.14 -0.3130 0 — —
SCALP scalp_1m_ema_pullback_reclaim_micro_fast_discovery__smart_exit_c 141 30.50 -0.2949 0 — —
SCALP scalp_1m_ema_trend_macro 1,309 25.06 -0.3592 0 — —
SCALP scalp_1m_ema_trend_macro__smart_exit_a 833 23.53 -0.3923 0 — —
SCALP scalp_1m_ema_trend_macro__smart_exit_b 836 23.45 -0.3931 0 — —
SCALP scalp_1m_ema_trend_macro__smart_exit_c 842 23.40 -0.3919 0 — —
SCALP scalp_1m_ema_trend_macro_discovery 63 23.81 -0.4669 0 — —
SCALP scalp_1m_ema_trend_macro_discovery__smart_exit_a 42 16.67 -0.5105 0 — —
SCALP scalp_1m_ema_trend_macro_discovery__smart_exit_b 42 28.57 -0.4543 0 — —
SCALP scalp_1m_ema_trend_macro_discovery__smart_exit_c 42 16.67 -0.5053 0 — —
SCALP scalp_1m_ema_trend_macro_fast_discovery 158 32.28 -0.3205 0 — —
SCALP scalp_1m_ema_trend_macro_fast_discovery__smart_exit_a 90 20.00 -0.4129 0 — —
SCALP scalp_1m_ema_trend_macro_fast_discovery__smart_exit_b 93 22.58 -0.4066 0 — —
SCALP scalp_1m_ema_trend_macro_fast_discovery__smart_exit_c 93 21.50 -0.3861 0 — —
SCALP scalp_1m_ema_trend_micro 1,550 25.29 -0.3713 0 — —
SCALP scalp_1m_ema_trend_micro__smart_exit_a 1,001 22.58 -0.4257 0 — —
SCALP scalp_1m_ema_trend_micro__smart_exit_b 1,006 23.06 -0.4273 0 — —
SCALP scalp_1m_ema_trend_micro__smart_exit_c 1,005 22.98 -0.4280 0 — —
SCALP scalp_1m_ema_trend_micro_discovery 75 21.33 -0.5033 0 — —
SCALP scalp_1m_ema_trend_micro_discovery__smart_exit_a 49 18.37 -0.5240 0 — —
SCALP scalp_1m_ema_trend_micro_discovery__smart_exit_b 49 26.53 -0.4815 0 — —
SCALP scalp_1m_ema_trend_micro_discovery__smart_exit_c 49 18.37 -0.4752 0 — —
SCALP scalp_1m_ema_trend_micro_fast_discovery 209 31.10 -0.3278 0 — —
SCALP scalp_1m_ema_trend_micro_fast_discovery__smart_exit_a 130 22.31 -0.3922 0 — —
SCALP scalp_1m_ema_trend_micro_fast_discovery__smart_exit_b 131 24.43 -0.3377 0 — —
SCALP scalp_1m_ema_trend_micro_fast_discovery__smart_exit_c 132 20.45 -0.3635 0 — —
SCALP scalp_1m_lower_wick_reversal_macro 479 25.89 -0.3170 0 — —
SCALP scalp_1m_lower_wick_reversal_macro__smart_exit_a 0 — — 0 — —
SCALP scalp_1m_lower_wick_reversal_macro__smart_exit_b 0 — — 0 — —
SCALP scalp_1m_lower_wick_reversal_macro__smart_exit_c 0 — — 0 — —
SCALP scalp_1m_lower_wick_reversal_macro_discovery 14 35.71 -0.3224 0 — —
SCALP scalp_1m_lower_wick_reversal_macro_discovery__smart_exit_a 10 30.00 -0.3140 0 — —
SCALP scalp_1m_lower_wick_reversal_macro_discovery__smart_exit_b 10 30.00 -0.2678 0 — —
SCALP scalp_1m_lower_wick_reversal_macro_discovery__smart_exit_c 10 30.00 -0.2948 0 — —
SCALP scalp_1m_lower_wick_reversal_macro_fast_discovery 59 32.20 -0.3871 0 — —
SCALP scalp_1m_lower_wick_reversal_macro_fast_discovery__smart_exit_a 35 31.43 -0.3591 0 — —
SCALP scalp_1m_lower_wick_reversal_macro_fast_discovery__smart_exit_b 35 31.43 -0.4116 0 — —
SCALP scalp_1m_lower_wick_reversal_macro_fast_discovery__smart_exit_c 35 28.57 -0.3595 0 — —
SCALP scalp_1m_lower_wick_reversal_micro 408 24.75 -0.3248 0 — —
SCALP scalp_1m_lower_wick_reversal_micro__smart_exit_a 0 — — 0 — —
SCALP scalp_1m_lower_wick_reversal_micro__smart_exit_b 0 — — 0 — —
SCALP scalp_1m_lower_wick_reversal_micro__smart_exit_c 0 — — 0 — —
SCALP scalp_1m_lower_wick_reversal_micro_discovery 13 15.38 -0.4302 0 — —
SCALP scalp_1m_lower_wick_reversal_micro_discovery__smart_exit_a 11 9.09 -0.4764 0 — —
SCALP scalp_1m_lower_wick_reversal_micro_discovery__smart_exit_b 11 9.09 -0.4003 0 — —
SCALP scalp_1m_lower_wick_reversal_micro_discovery__smart_exit_c 11 9.09 -0.4301 0 — —
SCALP scalp_1m_lower_wick_reversal_micro_fast_discovery 40 22.50 -0.5102 0 — —
SCALP scalp_1m_lower_wick_reversal_micro_fast_discovery__smart_exit_a 21 23.81 -0.3628 0 — —
SCALP scalp_1m_lower_wick_reversal_micro_fast_discovery__smart_exit_b 21 23.81 -0.4122 0 — —
SCALP scalp_1m_lower_wick_reversal_micro_fast_discovery__smart_exit_c 21 19.05 -0.3716 0 — —
SCALP scalp_1m_macd_impulse_macro 1,500 25.00 -0.3933 0 — —
SCALP scalp_1m_macd_impulse_macro__continuation_hold 240 19.58 -0.4936 0 — —
SCALP scalp_1m_macd_impulse_macro__continuation_hold__smart_exit_a 145 14.48 -0.5099 0 — —
SCALP scalp_1m_macd_impulse_macro__continuation_hold__smart_exit_b 144 31.25 -0.4320 0 — —
SCALP scalp_1m_macd_impulse_macro__continuation_hold__smart_exit_c 148 25.68 -0.4126 0 — —
SCALP scalp_1m_macd_impulse_macro__smart_exit_a 1,019 21.59 -0.4095 0 — —
SCALP scalp_1m_macd_impulse_macro__smart_exit_b 968 23.86 -0.4057 0 — —
SCALP scalp_1m_macd_impulse_macro__smart_exit_c 1,013 21.52 -0.4079 0 — —
SCALP scalp_1m_macd_impulse_macro_discovery 79 29.11 -0.4307 0 — —
SCALP scalp_1m_macd_impulse_macro_discovery__smart_exit_a 53 20.75 -0.4827 0 — —
SCALP scalp_1m_macd_impulse_macro_discovery__smart_exit_b 53 24.53 -0.4025 0 — —
SCALP scalp_1m_macd_impulse_macro_discovery__smart_exit_c 53 16.98 -0.4575 0 — —
SCALP scalp_1m_macd_impulse_macro_fast_discovery 223 30.94 -0.3556 0 — —
SCALP scalp_1m_macd_impulse_macro_fast_discovery__smart_exit_a 132 23.48 -0.3949 0 — —
SCALP scalp_1m_macd_impulse_macro_fast_discovery__smart_exit_b 132 25.76 -0.3803 0 — —
SCALP scalp_1m_macd_impulse_macro_fast_discovery__smart_exit_c 132 25.00 -0.3596 0 — —
SCALP scalp_1m_macd_impulse_micro 1,613 26.16 -0.3800 0 — —
SCALP scalp_1m_macd_impulse_micro__smart_exit_a 992 26.01 -0.3842 0 — —
SCALP scalp_1m_macd_impulse_micro__smart_exit_b 986 26.27 -0.3793 0 — —
SCALP scalp_1m_macd_impulse_micro__smart_exit_c 977 26.10 -0.3811 0 — —
SCALP scalp_1m_macd_impulse_micro_discovery 78 20.51 -0.5052 0 — —
SCALP scalp_1m_macd_impulse_micro_discovery__smart_exit_a 37 16.22 -0.5286 0 — —
SCALP scalp_1m_macd_impulse_micro_discovery__smart_exit_b 35 22.86 -0.4788 0 — —
SCALP scalp_1m_macd_impulse_micro_discovery__smart_exit_c 35 17.14 -0.4931 0 — —
SCALP scalp_1m_macd_impulse_micro_fast_discovery 248 31.86 -0.3095 0 — —
SCALP scalp_1m_macd_impulse_micro_fast_discovery__smart_exit_a 126 20.64 -0.3704 0 — —
SCALP scalp_1m_macd_impulse_micro_fast_discovery__smart_exit_b 126 24.60 -0.3225 0 — —
SCALP scalp_1m_macd_impulse_micro_fast_discovery__smart_exit_c 127 22.05 -0.3289 0 — —
SCALP scalp_1m_range_breakout_macro 1,089 21.49 -0.4039 0 — —
SCALP scalp_1m_range_breakout_macro__continuation_hold 182 14.84 -0.3553 0 — —
SCALP scalp_1m_range_breakout_macro__continuation_hold__smart_exit_a 123 13.01 -0.4332 0 — —
SCALP scalp_1m_range_breakout_macro__continuation_hold__smart_exit_b 121 22.31 -0.4406 0 — —
SCALP scalp_1m_range_breakout_macro__continuation_hold__smart_exit_c 125 21.60 -0.4081 0 — —
SCALP scalp_1m_range_breakout_macro__smart_exit_a 676 22.04 -0.4161 0 — —
SCALP scalp_1m_range_breakout_macro__smart_exit_b 672 21.88 -0.4144 0 — —
SCALP scalp_1m_range_breakout_macro__smart_exit_c 679 21.94 -0.4073 0 — —
SCALP scalp_1m_range_breakout_macro_discovery 29 24.14 -0.3224 0 — —
SCALP scalp_1m_range_breakout_macro_discovery__smart_exit_a 21 9.52 -0.4840 0 — —
SCALP scalp_1m_range_breakout_macro_discovery__smart_exit_b 21 9.52 -0.3970 0 — —
SCALP scalp_1m_range_breakout_macro_discovery__smart_exit_c 21 0.00 -0.5043 0 — —
SCALP scalp_1m_range_breakout_macro_fast_discovery 79 30.38 -0.3224 0 — —
SCALP scalp_1m_range_breakout_macro_fast_discovery__smart_exit_a 41 26.83 -0.3762 0 — —
SCALP scalp_1m_range_breakout_macro_fast_discovery__smart_exit_b 41 31.71 -0.3644 0 — —
SCALP scalp_1m_range_breakout_macro_fast_discovery__smart_exit_c 41 29.27 -0.3696 0 — —
SCALP scalp_1m_range_breakout_micro 1,274 21.43 -0.4067 0 — —
SCALP scalp_1m_range_breakout_micro__acceptance_confirmed 273 24.18 -0.3846 0 — —
SCALP scalp_1m_range_breakout_micro__acceptance_confirmed__smart_exit_a 226 19.91 -0.4124 0 — —
SCALP scalp_1m_range_breakout_micro__acceptance_confirmed__smart_exit_b 223 25.11 -0.3854 0 — —
SCALP scalp_1m_range_breakout_micro__acceptance_confirmed__smart_exit_c 228 22.37 -0.3774 0 — —
SCALP scalp_1m_range_breakout_micro__smart_exit_a 756 22.49 -0.4013 0 — —
SCALP scalp_1m_range_breakout_micro__smart_exit_b 751 22.50 -0.3996 0 — —
SCALP scalp_1m_range_breakout_micro__smart_exit_c 765 22.35 -0.3955 0 — —
SCALP scalp_1m_range_breakout_micro_discovery 30 16.67 -0.4048 0 — —
SCALP scalp_1m_range_breakout_micro_discovery__smart_exit_a 21 4.76 -0.5799 0 — —
SCALP scalp_1m_range_breakout_micro_discovery__smart_exit_b 21 9.52 -0.4706 0 — —
SCALP scalp_1m_range_breakout_micro_discovery__smart_exit_c 20 0.00 -0.5286 0 — —
SCALP scalp_1m_range_breakout_micro_fast_discovery 95 27.37 -0.3498 0 — —
SCALP scalp_1m_range_breakout_micro_fast_discovery__smart_exit_a 51 21.57 -0.3900 0 — —
SCALP scalp_1m_range_breakout_micro_fast_discovery__smart_exit_b 51 25.49 -0.3531 0 — —
SCALP scalp_1m_range_breakout_micro_fast_discovery__smart_exit_c 51 23.53 -0.3566 0 — —
SCALP scalp_1m_rsi_momentum_macro 1,124 27.31 -0.3606 0 — —
SCALP scalp_1m_rsi_momentum_macro__smart_exit_a 659 28.38 -0.3513 0 — —
SCALP scalp_1m_rsi_momentum_macro__smart_exit_b 660 28.03 -0.3626 0 — —
SCALP scalp_1m_rsi_momentum_macro__smart_exit_c 657 28.16 -0.3576 0 — —
SCALP scalp_1m_rsi_momentum_macro_discovery 48 27.08 -0.4264 0 — —
SCALP scalp_1m_rsi_momentum_macro_discovery__smart_exit_a 27 18.52 -0.5088 0 — —
SCALP scalp_1m_rsi_momentum_macro_discovery__smart_exit_b 27 29.63 -0.4550 0 — —
SCALP scalp_1m_rsi_momentum_macro_discovery__smart_exit_c 27 14.81 -0.5275 0 — —
SCALP scalp_1m_rsi_momentum_macro_fast_discovery 117 34.19 -0.3351 0 — —
SCALP scalp_1m_rsi_momentum_macro_fast_discovery__smart_exit_a 8 62.50 0.0576 0 — —
SCALP scalp_1m_rsi_momentum_macro_fast_discovery__smart_exit_b 9 55.56 0.0250 0 — —
SCALP scalp_1m_rsi_momentum_macro_fast_discovery__smart_exit_c 8 50.00 0.0056 0 — —
SCALP scalp_1m_rsi_momentum_micro 1,248 26.12 -0.3817 0 — —
SCALP scalp_1m_rsi_momentum_micro__smart_exit_a 0 — — 0 — —
SCALP scalp_1m_rsi_momentum_micro__smart_exit_b 736 23.10 -0.4285 0 — —
SCALP scalp_1m_rsi_momentum_micro__smart_exit_c 0 — — 0 — —
SCALP scalp_1m_rsi_momentum_micro_discovery 51 21.57 -0.4749 0 — —
SCALP scalp_1m_rsi_momentum_micro_discovery__smart_exit_a 30 20.00 -0.5326 0 — —
SCALP scalp_1m_rsi_momentum_micro_discovery__smart_exit_b 30 26.67 -0.4815 0 — —
SCALP scalp_1m_rsi_momentum_micro_discovery__smart_exit_c 30 13.33 -0.5300 0 — —
SCALP scalp_1m_rsi_momentum_micro_fast_discovery 128 32.81 -0.3084 0 — —
SCALP scalp_1m_rsi_momentum_micro_fast_discovery__smart_exit_a 67 19.40 -0.4412 0 — —
SCALP scalp_1m_rsi_momentum_micro_fast_discovery__smart_exit_b 67 20.90 -0.3694 0 — —
SCALP scalp_1m_rsi_momentum_micro_fast_discovery__smart_exit_c 69 18.84 -0.3697 0 — —
SCALP scalp_1m_stochastic_reversal_macro 1,209 25.72 -0.3235 0 — —
SCALP scalp_1m_stochastic_reversal_macro__smart_exit_a 772 25.00 -0.3512 0 — —
SCALP scalp_1m_stochastic_reversal_macro__smart_exit_b 777 25.48 -0.3417 0 — —
SCALP scalp_1m_stochastic_reversal_macro__smart_exit_c 768 25.65 -0.3313 0 — —
SCALP scalp_1m_stochastic_reversal_macro_discovery 48 20.83 -0.3334 0 — —
SCALP scalp_1m_stochastic_reversal_macro_discovery__smart_exit_a 36 19.44 -0.3073 0 — —
SCALP scalp_1m_stochastic_reversal_macro_discovery__smart_exit_b 36 13.89 -0.3622 0 — —
SCALP scalp_1m_stochastic_reversal_macro_discovery__smart_exit_c 36 13.89 -0.3289 0 — —
SCALP scalp_1m_stochastic_reversal_macro_fast_discovery 195 28.20 -0.3269 0 — —
SCALP scalp_1m_stochastic_reversal_macro_fast_discovery__smart_exit_a 117 23.08 -0.3235 0 — —
SCALP scalp_1m_stochastic_reversal_macro_fast_discovery__smart_exit_b 117 24.79 -0.3081 0 — —
SCALP scalp_1m_stochastic_reversal_macro_fast_discovery__smart_exit_c 114 21.93 -0.3132 0 — —
SCALP scalp_1m_stochastic_reversal_micro 942 24.31 -0.3311 0 — —
SCALP scalp_1m_stochastic_reversal_micro__smart_exit_a 563 22.73 -0.3817 0 — —
SCALP scalp_1m_stochastic_reversal_micro__smart_exit_b 569 22.67 -0.3751 0 — —
SCALP scalp_1m_stochastic_reversal_micro__smart_exit_c 574 23.34 -0.3599 0 — —
SCALP scalp_1m_stochastic_reversal_micro_discovery 38 15.79 -0.4790 0 — —
SCALP scalp_1m_stochastic_reversal_micro_discovery__smart_exit_a 26 19.23 -0.3923 0 — —
SCALP scalp_1m_stochastic_reversal_micro_discovery__smart_exit_b 26 19.23 -0.4047 0 — —
SCALP scalp_1m_stochastic_reversal_micro_discovery__smart_exit_c 26 19.23 -0.3776 0 — —
SCALP scalp_1m_stochastic_reversal_micro_fast_discovery 130 23.85 -0.3683 0 — —
SCALP scalp_1m_stochastic_reversal_micro_fast_discovery__smart_exit_a 76 21.05 -0.3387 0 — —
SCALP scalp_1m_stochastic_reversal_micro_fast_discovery__smart_exit_b 76 22.37 -0.3498 0 — —
SCALP scalp_1m_stochastic_reversal_micro_fast_discovery__smart_exit_c 76 19.74 -0.3400 0 — —
SCALP scalp_1m_vwap_reclaim_macro 1,116 24.46 -0.3537 0 — —
SCALP scalp_1m_vwap_reclaim_macro__smart_exit_a 749 20.83 -0.3378 0 — —
SCALP scalp_1m_vwap_reclaim_macro__smart_exit_b 717 25.38 -0.3324 0 — —
SCALP scalp_1m_vwap_reclaim_macro__smart_exit_c 742 20.62 -0.3345 0 — —
SCALP scalp_1m_vwap_reclaim_macro_discovery 43 34.88 -0.2700 0 — —
SCALP scalp_1m_vwap_reclaim_macro_discovery__smart_exit_a 32 31.25 -0.2887 0 — —
SCALP scalp_1m_vwap_reclaim_macro_discovery__smart_exit_b 32 34.38 -0.2286 0 — —
SCALP scalp_1m_vwap_reclaim_macro_discovery__smart_exit_c 32 28.12 -0.2541 0 — —
SCALP scalp_1m_vwap_reclaim_macro_fast_discovery 183 34.43 -0.2708 0 — —
SCALP scalp_1m_vwap_reclaim_macro_fast_discovery__smart_exit_a 119 31.09 -0.2502 0 — —
SCALP scalp_1m_vwap_reclaim_macro_fast_discovery__smart_exit_b 121 33.06 -0.2428 0 — —
SCALP scalp_1m_vwap_reclaim_macro_fast_discovery__smart_exit_c 118 29.66 -0.2419 0 — —
SCALP scalp_1m_vwap_reclaim_micro 1,115 26.46 -0.3013 0 — —
SCALP scalp_1m_vwap_reclaim_micro__smart_exit_a 729 23.05 -0.3074 0 — —
SCALP scalp_1m_vwap_reclaim_micro__smart_exit_b 702 28.06 -0.2810 0 — —
SCALP scalp_1m_vwap_reclaim_micro__smart_exit_c 730 22.47 -0.3061 0 — —
SCALP scalp_1m_vwap_reclaim_micro_discovery 48 29.17 -0.3432 0 — —
SCALP scalp_1m_vwap_reclaim_micro_discovery__smart_exit_a 36 25.00 -0.3510 0 — —
SCALP scalp_1m_vwap_reclaim_micro_discovery__smart_exit_b 36 25.00 -0.2789 0 — —
SCALP scalp_1m_vwap_reclaim_micro_discovery__smart_exit_c 36 22.22 -0.2885 0 — —
SCALP scalp_1m_vwap_reclaim_micro_fast_discovery 185 30.81 -0.2977 0 — —
SCALP scalp_1m_vwap_reclaim_micro_fast_discovery__smart_exit_a 110 28.18 -0.2729 0 — —
SCALP scalp_1m_vwap_reclaim_micro_fast_discovery__smart_exit_b 0 — — 0 — —
SCALP scalp_1m_vwap_reclaim_micro_fast_discovery__smart_exit_c 16 62.50 0.1153 0 — —
SCALP scalp_5m_bb_mean_reversion_macro 130 35.38 -0.2531 0 — —
SCALP scalp_5m_bb_mean_reversion_macro__smart_exit_a 9 33.33 0.0474 0 — —
SCALP scalp_5m_bb_mean_reversion_macro__smart_exit_b 41 14.63 -0.3353 0 — —
SCALP scalp_5m_bb_mean_reversion_macro__smart_exit_c 40 12.50 -0.4053 0 — —
SCALP scalp_5m_bb_mean_reversion_macro_discovery 7 14.29 -0.5682 0 — —
SCALP scalp_5m_bb_mean_reversion_macro_discovery__smart_exit_a 3 33.33 -0.2576 0 — —
SCALP scalp_5m_bb_mean_reversion_macro_discovery__smart_exit_b 3 33.33 -0.4909 0 — —
SCALP scalp_5m_bb_mean_reversion_macro_discovery__smart_exit_c 3 33.33 -0.2836 0 — —
SCALP scalp_5m_bb_mean_reversion_macro_fast_discovery 19 31.58 -0.6037 0 — —
SCALP scalp_5m_bb_mean_reversion_macro_fast_discovery__smart_exit_a 5 20.00 -0.6214 0 — —
SCALP scalp_5m_bb_mean_reversion_macro_fast_discovery__smart_exit_b 5 20.00 -0.3341 0 — —
SCALP scalp_5m_bb_mean_reversion_macro_fast_discovery__smart_exit_c 5 20.00 -0.4346 0 — —
SCALP scalp_5m_bb_mean_reversion_micro 116 31.90 -0.3460 0 — —
SCALP scalp_5m_bb_mean_reversion_micro__feature_inflow_expansion 0 — — 0 — —
SCALP scalp_5m_bb_mean_reversion_micro__smart_exit_a 0 — — 0 — —
SCALP scalp_5m_bb_mean_reversion_micro__smart_exit_b 2 100.00 1.2119 0 — —
SCALP scalp_5m_bb_mean_reversion_micro__smart_exit_c 2 50.00 0.3870 0 — —
SCALP scalp_5m_bb_mean_reversion_micro_discovery 7 0.00 -0.8036 0 — —
SCALP scalp_5m_bb_mean_reversion_micro_discovery__smart_exit_a 1 0.00 -0.0180 0 — —
SCALP scalp_5m_bb_mean_reversion_micro_discovery__smart_exit_b 1 0.00 -0.0180 0 — —
SCALP scalp_5m_bb_mean_reversion_micro_discovery__smart_exit_c 1 0.00 -0.0180 0 — —
SCALP scalp_5m_bb_mean_reversion_micro_fast_discovery 11 54.55 -0.1303 0 — —
SCALP scalp_5m_bb_mean_reversion_micro_fast_discovery__smart_exit_a 4 75.00 0.2727 0 — —
SCALP scalp_5m_bb_mean_reversion_micro_fast_discovery__smart_exit_b 4 75.00 0.3105 0 — —
SCALP scalp_5m_bb_mean_reversion_micro_fast_discovery__smart_exit_c 4 50.00 0.1520 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro 247 34.41 -0.3276 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro__smart_exit_a 86 23.26 -0.4450 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro__smart_exit_b 92 36.96 -0.2761 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro__smart_exit_c 93 29.03 -0.3181 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro_discovery 3 33.33 -0.5207 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro_discovery__smart_exit_a 0 — — 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro_discovery__smart_exit_b 0 — — 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro_discovery__smart_exit_c 0 — — 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro_fast_discovery 8 50.00 -0.2356 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro_fast_discovery__smart_exit_a 4 50.00 -0.1529 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro_fast_discovery__smart_exit_b 4 50.00 -0.2570 0 — —
SCALP scalp_5m_bb_squeeze_breakout_macro_fast_discovery__smart_exit_c 4 50.00 -0.2343 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro 220 30.00 -0.3486 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro__smart_exit_a 71 21.13 -0.3846 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro__smart_exit_b 78 41.03 -0.4045 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro__smart_exit_c 81 32.10 -0.2906 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro_discovery 2 0.00 -0.9416 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro_discovery__smart_exit_a 2 0.00 -0.9416 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro_discovery__smart_exit_b 2 0.00 -0.9416 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro_discovery__smart_exit_c 2 0.00 -0.8868 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro_fast_discovery 7 42.86 -0.2179 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro_fast_discovery__smart_exit_a 4 50.00 0.0302 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro_fast_discovery__smart_exit_b 4 25.00 -0.2986 0 — —
SCALP scalp_5m_bb_squeeze_breakout_micro_fast_discovery__smart_exit_c 4 25.00 -0.2759 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro 449 29.62 -0.4007 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro__smart_exit_a 270 22.59 -0.4154 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro__smart_exit_b 242 29.34 -0.4251 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro__smart_exit_c 274 25.91 -0.3426 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro_discovery 21 57.14 -0.1004 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro_discovery__smart_exit_a 14 42.86 -0.1464 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro_discovery__smart_exit_b 14 35.71 -0.1769 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro_discovery__smart_exit_c 15 20.00 -0.4615 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro_fast_discovery 27 14.81 -0.6155 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro_fast_discovery__smart_exit_a 6 0.00 -0.6585 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro_fast_discovery__smart_exit_b 6 0.00 -0.6785 0 — —
SCALP scalp_5m_bullish_candle_impulse_macro_fast_discovery__smart_exit_c 6 0.00 -0.5994 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro 409 28.12 -0.4368 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro__smart_exit_a 204 15.20 -0.4798 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro__smart_exit_b 210 32.86 -0.4929 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro__smart_exit_c 228 21.49 -0.4850 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro_discovery 20 35.00 -0.3155 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro_discovery__smart_exit_a 12 50.00 -0.1909 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro_discovery__smart_exit_b 12 25.00 -0.3806 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro_discovery__smart_exit_c 12 16.67 -0.4874 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro_fast_discovery 20 25.00 -0.4955 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro_fast_discovery__smart_exit_a 4 0.00 -0.7347 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro_fast_discovery__smart_exit_b 4 0.00 -0.9031 0 — —
SCALP scalp_5m_bullish_candle_impulse_micro_fast_discovery__smart_exit_c 3 0.00 -0.7656 0 — —
SCALP scalp_5m_donchian_breakout_macro 352 31.25 -0.3931 0 — —
SCALP scalp_5m_donchian_breakout_macro__smart_exit_a 111 26.13 -0.3842 0 — —
SCALP scalp_5m_donchian_breakout_macro__smart_exit_b 117 45.30 -0.2530 0 — —
SCALP scalp_5m_donchian_breakout_macro__smart_exit_c 119 36.13 -0.3325 0 — —
SCALP scalp_5m_donchian_breakout_macro_discovery 13 38.46 -0.3389 0 — —
SCALP scalp_5m_donchian_breakout_macro_discovery__smart_exit_a 9 33.33 -0.4513 0 — —
SCALP scalp_5m_donchian_breakout_macro_discovery__smart_exit_b 9 22.22 -0.4258 0 — —
SCALP scalp_5m_donchian_breakout_macro_discovery__smart_exit_c 9 11.11 -0.5577 0 — —
SCALP scalp_5m_donchian_breakout_macro_fast_discovery 17 41.18 -0.4331 0 — —
SCALP scalp_5m_donchian_breakout_macro_fast_discovery__smart_exit_a 4 25.00 -0.4153 0 — —
SCALP scalp_5m_donchian_breakout_macro_fast_discovery__smart_exit_b 4 25.00 -0.5498 0 — —
SCALP scalp_5m_donchian_breakout_macro_fast_discovery__smart_exit_c 4 25.00 -0.3927 0 — —
SCALP scalp_5m_donchian_breakout_micro 307 29.64 -0.4403 0 — —
SCALP scalp_5m_donchian_breakout_micro__smart_exit_a 87 16.09 -0.4171 0 — —
SCALP scalp_5m_donchian_breakout_micro__smart_exit_b 85 32.94 -0.3839 0 — —
SCALP scalp_5m_donchian_breakout_micro__smart_exit_c 86 24.42 -0.3982 0 — —
SCALP scalp_5m_donchian_breakout_micro_discovery 11 45.45 -0.3287 0 — —
SCALP scalp_5m_donchian_breakout_micro_discovery__smart_exit_a 6 33.33 -0.4358 0 — —
SCALP scalp_5m_donchian_breakout_micro_discovery__smart_exit_b 6 0.00 -0.6168 0 — —
SCALP scalp_5m_donchian_breakout_micro_discovery__smart_exit_c 6 0.00 -0.6168 0 — —
SCALP scalp_5m_donchian_breakout_micro_fast_discovery 11 45.45 -0.3738 0 — —
SCALP scalp_5m_donchian_breakout_micro_fast_discovery__smart_exit_a 4 25.00 -0.4333 0 — —
SCALP scalp_5m_donchian_breakout_micro_fast_discovery__smart_exit_b 4 25.00 -0.5498 0 — —
SCALP scalp_5m_donchian_breakout_micro_fast_discovery__smart_exit_c 4 25.00 -0.4153 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro 327 32.11 -0.3967 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro__smart_exit_a 146 20.55 -0.5172 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro__smart_exit_b 153 43.14 -0.3624 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro__smart_exit_c 160 33.12 -0.3947 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro_discovery 21 52.38 -0.2018 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro_discovery__smart_exit_a 10 30.00 -0.6196 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro_discovery__smart_exit_b 10 30.00 -0.5276 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro_discovery__smart_exit_c 10 30.00 -0.5436 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro_fast_discovery 63 34.92 -0.3613 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro_fast_discovery__smart_exit_a 14 42.86 -0.1094 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro_fast_discovery__smart_exit_b 14 42.86 -0.0425 0 — —
SCALP scalp_5m_ema_pullback_reclaim_macro_fast_discovery__smart_exit_c 14 35.71 -0.1002 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro 303 28.71 -0.4833 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro__feature_inflow_expansion 0 — — 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro__smart_exit_a 126 15.08 -0.5488 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro__smart_exit_b 140 36.43 -0.4862 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro__smart_exit_c 144 26.39 -0.4661 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro_discovery 16 56.25 -0.0252 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro_discovery__smart_exit_a 6 50.00 -0.3117 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro_discovery__smart_exit_b 6 50.00 -0.3341 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro_discovery__smart_exit_c 6 33.33 -0.4142 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro_fast_discovery 37 29.73 -0.4830 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro_fast_discovery__smart_exit_a 12 16.67 -0.5041 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro_fast_discovery__smart_exit_b 6 33.33 -0.1667 0 — —
SCALP scalp_5m_ema_pullback_reclaim_micro_fast_discovery__smart_exit_c 12 8.33 -0.5040 0 — —
SCALP scalp_5m_ema_trend_macro 469 32.20 -0.3985 0 — —
SCALP scalp_5m_ema_trend_macro__smart_exit_a 243 30.45 -0.3580 0 — —
SCALP scalp_5m_ema_trend_macro__smart_exit_b 219 32.42 -0.4003 0 — —
SCALP scalp_5m_ema_trend_macro__smart_exit_c 236 29.66 -0.4000 0 — —
SCALP scalp_5m_ema_trend_macro_discovery 33 27.27 -0.4799 0 — —
SCALP scalp_5m_ema_trend_macro_discovery__smart_exit_a 20 15.00 -0.4871 0 — —
SCALP scalp_5m_ema_trend_macro_discovery__smart_exit_b 20 15.00 -0.5064 0 — —
SCALP scalp_5m_ema_trend_macro_discovery__smart_exit_c 20 10.00 -0.5381 0 — —
SCALP scalp_5m_ema_trend_macro_fast_discovery 56 35.71 -0.3749 0 — —
SCALP scalp_5m_ema_trend_macro_fast_discovery__smart_exit_a 11 54.55 -0.0455 0 — —
SCALP scalp_5m_ema_trend_macro_fast_discovery__smart_exit_b 11 63.64 -0.0180 0 — —
SCALP scalp_5m_ema_trend_macro_fast_discovery__smart_exit_c 11 45.45 -0.1150 0 — —
SCALP scalp_5m_ema_trend_micro 497 28.77 -0.4064 0 — —
SCALP scalp_5m_ema_trend_micro__smart_exit_a 197 18.27 -0.5497 0 — —
SCALP scalp_5m_ema_trend_micro__smart_exit_b 209 30.14 -0.4112 0 — —
SCALP scalp_5m_ema_trend_micro__smart_exit_c 211 24.17 -0.4014 0 — —
SCALP scalp_5m_ema_trend_micro_discovery 43 41.86 -0.3602 0 — —
SCALP scalp_5m_ema_trend_micro_discovery__smart_exit_a 18 44.44 -0.2539 0 — —
SCALP scalp_5m_ema_trend_micro_discovery__smart_exit_b 18 33.33 -0.3380 0 — —
SCALP scalp_5m_ema_trend_micro_discovery__smart_exit_c 18 16.67 -0.4083 0 — —
SCALP scalp_5m_ema_trend_micro_fast_discovery 47 34.04 -0.3652 0 — —
SCALP scalp_5m_ema_trend_micro_fast_discovery__smart_exit_a 12 41.67 -0.0815 0 — —
SCALP scalp_5m_ema_trend_micro_fast_discovery__smart_exit_b 12 41.67 -0.1933 0 — —
SCALP scalp_5m_ema_trend_micro_fast_discovery__smart_exit_c 12 33.33 -0.2006 0 — —
SCALP scalp_5m_lower_wick_reversal_macro 232 27.16 -0.3807 0 — —
SCALP scalp_5m_lower_wick_reversal_macro__smart_exit_a 80 18.75 -0.3496 0 — —
SCALP scalp_5m_lower_wick_reversal_macro__smart_exit_b 84 36.91 -0.3153 0 — —
SCALP scalp_5m_lower_wick_reversal_macro__smart_exit_c 83 19.28 -0.4000 0 — —
SCALP scalp_5m_lower_wick_reversal_macro_discovery 10 30.00 -0.4284 0 — —
SCALP scalp_5m_lower_wick_reversal_macro_discovery__smart_exit_a 4 25.00 -0.5917 0 — —
SCALP scalp_5m_lower_wick_reversal_macro_discovery__smart_exit_b 4 0.00 -0.8944 0 — —
SCALP scalp_5m_lower_wick_reversal_macro_discovery__smart_exit_c 4 0.00 -0.7749 0 — —
SCALP scalp_5m_lower_wick_reversal_macro_fast_discovery 43 41.86 -0.3499 0 — —
SCALP scalp_5m_lower_wick_reversal_macro_fast_discovery__smart_exit_a 7 57.14 -0.2227 0 — —
SCALP scalp_5m_lower_wick_reversal_macro_fast_discovery__smart_exit_b 7 57.14 -0.2227 0 — —
SCALP scalp_5m_lower_wick_reversal_macro_fast_discovery__smart_exit_c 8 50.00 -0.1626 0 — —
SCALP scalp_5m_lower_wick_reversal_micro 222 26.13 -0.4114 0 — —
SCALP scalp_5m_lower_wick_reversal_micro__smart_exit_a 61 21.31 -0.3833 0 — —
SCALP scalp_5m_lower_wick_reversal_micro__smart_exit_b 65 29.23 -0.3047 0 — —
SCALP scalp_5m_lower_wick_reversal_micro__smart_exit_c 73 19.18 -0.3031 0 — —
SCALP scalp_5m_lower_wick_reversal_micro_discovery 8 25.00 -0.5814 0 — —
SCALP scalp_5m_lower_wick_reversal_micro_discovery__smart_exit_a 2 0.00 -0.6576 0 — —
SCALP scalp_5m_lower_wick_reversal_micro_discovery__smart_exit_b 2 0.00 -0.8509 0 — —
SCALP scalp_5m_lower_wick_reversal_micro_discovery__smart_exit_c 2 0.00 -0.6576 0 — —
SCALP scalp_5m_lower_wick_reversal_micro_fast_discovery 36 50.00 -0.2925 0 — —
SCALP scalp_5m_lower_wick_reversal_micro_fast_discovery__smart_exit_a 11 45.45 -0.3265 0 — —
SCALP scalp_5m_lower_wick_reversal_micro_fast_discovery__smart_exit_b 11 45.45 -0.2832 0 — —
SCALP scalp_5m_lower_wick_reversal_micro_fast_discovery__smart_exit_c 11 45.45 -0.2505 0 — —
SCALP scalp_5m_macd_impulse_macro 494 33.00 -0.4060 0 — —
SCALP scalp_5m_macd_impulse_macro__smart_exit_a 270 23.70 -0.4726 0 — —
SCALP scalp_5m_macd_impulse_macro__smart_exit_b 259 36.68 -0.4472 0 — —
SCALP scalp_5m_macd_impulse_macro__smart_exit_c 293 32.42 -0.3944 0 — —
SCALP scalp_5m_macd_impulse_macro_discovery 48 31.25 -0.4346 0 — —
SCALP scalp_5m_macd_impulse_macro_discovery__smart_exit_a 20 15.00 -0.5833 0 — —
SCALP scalp_5m_macd_impulse_macro_discovery__smart_exit_b 20 20.00 -0.5140 0 — —
SCALP scalp_5m_macd_impulse_macro_discovery__smart_exit_c 28 14.29 -0.4499 0 — —
SCALP scalp_5m_macd_impulse_macro_fast_discovery 76 39.47 -0.3748 0 — —
SCALP scalp_5m_macd_impulse_macro_fast_discovery__smart_exit_a 22 36.36 -0.3840 0 — —
SCALP scalp_5m_macd_impulse_macro_fast_discovery__smart_exit_b 22 31.82 -0.5531 0 — —
SCALP scalp_5m_macd_impulse_macro_fast_discovery__smart_exit_c 22 31.82 -0.3718 0 — —
SCALP scalp_5m_macd_impulse_micro 491 32.18 -0.3794 0 — —
SCALP scalp_5m_macd_impulse_micro__smart_exit_a 200 32.50 -0.3643 0 — —
SCALP scalp_5m_macd_impulse_micro__smart_exit_b 197 30.46 -0.4505 0 — —
SCALP scalp_5m_macd_impulse_micro__smart_exit_c 197 29.95 -0.4314 0 — —
SCALP scalp_5m_macd_impulse_micro_discovery 49 30.61 -0.4394 0 — —
SCALP scalp_5m_macd_impulse_micro_discovery__smart_exit_a 18 38.89 -0.2436 0 — —
SCALP scalp_5m_macd_impulse_micro_discovery__smart_exit_b 18 16.67 -0.4130 0 — —
SCALP scalp_5m_macd_impulse_micro_discovery__smart_exit_c 18 5.56 -0.4373 0 — —
SCALP scalp_5m_macd_impulse_micro_fast_discovery 45 28.89 -0.4185 0 — —
SCALP scalp_5m_macd_impulse_micro_fast_discovery__smart_exit_a 11 36.36 -0.2143 0 — —
SCALP scalp_5m_macd_impulse_micro_fast_discovery__smart_exit_b 11 18.18 -0.4884 0 — —
SCALP scalp_5m_macd_impulse_micro_fast_discovery__smart_exit_c 10 20.00 -0.3421 0 — —
SCALP scalp_5m_range_breakout_macro 408 28.43 -0.4180 0 — —
SCALP scalp_5m_range_breakout_macro__smart_exit_a 160 24.38 -0.4315 0 — —
SCALP scalp_5m_range_breakout_macro__smart_exit_b 161 37.27 -0.4083 0 — —
SCALP scalp_5m_range_breakout_macro__smart_exit_c 177 29.38 -0.4344 0 — —
SCALP scalp_5m_range_breakout_macro_discovery 15 33.33 -0.4276 0 — —
SCALP scalp_5m_range_breakout_macro_discovery__smart_exit_a 12 25.00 -0.4056 0 — —
SCALP scalp_5m_range_breakout_macro_discovery__smart_exit_b 12 16.67 -0.4212 0 — —
SCALP scalp_5m_range_breakout_macro_discovery__smart_exit_c 12 8.33 -0.5496 0 — —
SCALP scalp_5m_range_breakout_macro_fast_discovery 23 17.39 -0.5649 0 — —
SCALP scalp_5m_range_breakout_macro_fast_discovery__smart_exit_a 7 28.57 -0.5098 0 — —
SCALP scalp_5m_range_breakout_macro_fast_discovery__smart_exit_b 8 25.00 -0.5429 0 — —
SCALP scalp_5m_range_breakout_macro_fast_discovery__smart_exit_c 8 25.00 -0.3881 0 — —
SCALP scalp_5m_range_breakout_micro 347 28.82 -0.4039 0 — —
SCALP scalp_5m_range_breakout_micro__smart_exit_a 120 20.83 -0.4451 0 — —
SCALP scalp_5m_range_breakout_micro__smart_exit_b 118 33.05 -0.4422 0 — —
SCALP scalp_5m_range_breakout_micro__smart_exit_c 111 24.32 -0.4865 0 — —
SCALP scalp_5m_range_breakout_micro_discovery 14 14.29 -0.6381 0 — —
SCALP scalp_5m_range_breakout_micro_discovery__smart_exit_a 5 20.00 -0.5152 0 — —
SCALP scalp_5m_range_breakout_micro_discovery__smart_exit_b 5 0.00 -0.8170 0 — —
SCALP scalp_5m_range_breakout_micro_discovery__smart_exit_c 9 0.00 -0.6406 0 — —
SCALP scalp_5m_range_breakout_micro_fast_discovery 13 15.38 -0.7162 0 — —
SCALP scalp_5m_range_breakout_micro_fast_discovery__smart_exit_a 6 16.67 -0.6089 0 — —
SCALP scalp_5m_range_breakout_micro_fast_discovery__smart_exit_b 6 16.67 -0.6366 0 — —
SCALP scalp_5m_range_breakout_micro_fast_discovery__smart_exit_c 6 16.67 -0.5515 0 — —
SCALP scalp_5m_rsi_momentum_macro 416 33.65 -0.3395 0 — —
SCALP scalp_5m_rsi_momentum_macro__smart_exit_a 185 29.19 -0.3070 0 — —
SCALP scalp_5m_rsi_momentum_macro__smart_exit_b 198 44.95 -0.3138 0 — —
SCALP scalp_5m_rsi_momentum_macro__smart_exit_c 204 32.84 -0.3671 0 — —
SCALP scalp_5m_rsi_momentum_macro_discovery 32 28.12 -0.6362 0 — —
SCALP scalp_5m_rsi_momentum_macro_discovery__smart_exit_a 18 33.33 -0.4556 0 — —
SCALP scalp_5m_rsi_momentum_macro_discovery__smart_exit_b 18 22.22 -0.5124 0 — —
SCALP scalp_5m_rsi_momentum_macro_discovery__smart_exit_c 19 5.26 -0.6179 0 — —
SCALP scalp_5m_rsi_momentum_macro_fast_discovery 29 58.62 -0.0905 0 — —
SCALP scalp_5m_rsi_momentum_macro_fast_discovery__smart_exit_a 11 63.64 -0.0078 0 — —
SCALP scalp_5m_rsi_momentum_macro_fast_discovery__smart_exit_b 11 54.55 -0.1581 0 — —
SCALP scalp_5m_rsi_momentum_macro_fast_discovery__smart_exit_c 11 54.55 -0.0735 0 — —
SCALP scalp_5m_rsi_momentum_micro 396 30.30 -0.4083 0 — —
SCALP scalp_5m_rsi_momentum_micro__smart_exit_a 143 17.48 -0.4375 0 — —
SCALP scalp_5m_rsi_momentum_micro__smart_exit_b 126 45.24 -0.3627 0 — —
SCALP scalp_5m_rsi_momentum_micro__smart_exit_c 131 31.30 -0.3609 0 — —
SCALP scalp_5m_rsi_momentum_micro_discovery 30 43.33 -0.2962 0 — —
SCALP scalp_5m_rsi_momentum_micro_discovery__smart_exit_a 19 42.10 -0.3634 0 — —
SCALP scalp_5m_rsi_momentum_micro_discovery__smart_exit_b 18 33.33 -0.3960 0 — —
SCALP scalp_5m_rsi_momentum_micro_discovery__smart_exit_c 16 18.75 -0.5326 0 — —
SCALP scalp_5m_rsi_momentum_micro_fast_discovery 28 28.57 -0.5168 0 — —
SCALP scalp_5m_rsi_momentum_micro_fast_discovery__smart_exit_a 8 37.50 -0.1778 0 — —
SCALP scalp_5m_rsi_momentum_micro_fast_discovery__smart_exit_b 8 25.00 -0.3664 0 — —
SCALP scalp_5m_rsi_momentum_micro_fast_discovery__smart_exit_c 9 22.22 -0.3514 0 — —
SCALP scalp_5m_stochastic_reversal_macro 352 28.69 -0.3857 0 — —
SCALP scalp_5m_stochastic_reversal_macro__smart_exit_a 220 16.82 -0.3789 0 — —
SCALP scalp_5m_stochastic_reversal_macro__smart_exit_b 209 33.01 -0.4053 0 — —
SCALP scalp_5m_stochastic_reversal_macro__smart_exit_c 233 24.46 -0.3747 0 — —
SCALP scalp_5m_stochastic_reversal_macro_discovery 27 22.22 -0.6489 0 — —
SCALP scalp_5m_stochastic_reversal_macro_discovery__smart_exit_a 10 20.00 -0.5052 0 — —
SCALP scalp_5m_stochastic_reversal_macro_discovery__smart_exit_b 7 14.29 -0.5538 0 — —
SCALP scalp_5m_stochastic_reversal_macro_discovery__smart_exit_c 8 12.50 -0.5232 0 — —
SCALP scalp_5m_stochastic_reversal_macro_fast_discovery 84 26.19 -0.5686 0 — —
SCALP scalp_5m_stochastic_reversal_macro_fast_discovery__smart_exit_a 20 25.00 -0.4144 0 — —
SCALP scalp_5m_stochastic_reversal_macro_fast_discovery__smart_exit_b 4 50.00 -0.0490 0 — —
SCALP scalp_5m_stochastic_reversal_macro_fast_discovery__smart_exit_c 4 50.00 -0.0490 0 — —
SCALP scalp_5m_stochastic_reversal_micro 354 24.01 -0.4939 0 — —
SCALP scalp_5m_stochastic_reversal_micro__feature_inflow_expansion 0 — — 0 — —
SCALP scalp_5m_stochastic_reversal_micro__smart_exit_a 170 15.88 -0.5350 0 — —
SCALP scalp_5m_stochastic_reversal_micro__smart_exit_b 175 23.43 -0.3992 0 — —
SCALP scalp_5m_stochastic_reversal_micro__smart_exit_c 174 19.54 -0.4008 0 — —
SCALP scalp_5m_stochastic_reversal_micro_discovery 22 22.73 -0.5543 0 — —
SCALP scalp_5m_stochastic_reversal_micro_discovery__smart_exit_a 14 14.29 -0.5070 0 — —
SCALP scalp_5m_stochastic_reversal_micro_discovery__smart_exit_b 12 8.33 -0.5636 0 — —
SCALP scalp_5m_stochastic_reversal_micro_discovery__smart_exit_c 15 6.67 -0.5564 0 — —
SCALP scalp_5m_stochastic_reversal_micro_fast_discovery 69 26.09 -0.5603 0 — —
SCALP scalp_5m_stochastic_reversal_micro_fast_discovery__smart_exit_a 21 19.05 -0.5814 0 — —
SCALP scalp_5m_stochastic_reversal_micro_fast_discovery__smart_exit_b 21 19.05 -0.6091 0 — —
SCALP scalp_5m_stochastic_reversal_micro_fast_discovery__smart_exit_c 21 19.05 -0.5676 0 — —
SCALP scalp_5m_vwap_reclaim_macro 281 33.81 -0.2713 0 — —
SCALP scalp_5m_vwap_reclaim_macro__smart_exit_a 118 34.75 -0.2247 0 — —
SCALP scalp_5m_vwap_reclaim_macro__smart_exit_b 117 33.33 -0.2567 0 — —
SCALP scalp_5m_vwap_reclaim_macro__smart_exit_c 113 35.40 -0.2451 0 — —
SCALP scalp_5m_vwap_reclaim_macro_discovery 16 18.75 -0.7463 0 — —
SCALP scalp_5m_vwap_reclaim_macro_discovery__smart_exit_a 5 20.00 -0.5919 0 — —
SCALP scalp_5m_vwap_reclaim_macro_discovery__smart_exit_b 5 20.00 -0.5348 0 — —
SCALP scalp_5m_vwap_reclaim_macro_discovery__smart_exit_c 5 20.00 -0.5163 0 — —
SCALP scalp_5m_vwap_reclaim_macro_fast_discovery 54 42.59 -0.2098 0 — —
SCALP scalp_5m_vwap_reclaim_macro_fast_discovery__smart_exit_a 16 37.50 -0.2338 0 — —
SCALP scalp_5m_vwap_reclaim_macro_fast_discovery__smart_exit_b 18 44.44 -0.0658 0 — —
SCALP scalp_5m_vwap_reclaim_macro_fast_discovery__smart_exit_c 18 38.89 -0.2233 0 — —
SCALP scalp_5m_vwap_reclaim_micro 235 33.62 -0.3560 0 — —
SCALP scalp_5m_vwap_reclaim_micro__smart_exit_a 80 23.75 -0.5896 0 — —
SCALP scalp_5m_vwap_reclaim_micro__smart_exit_b 78 25.64 -0.4805 0 — —
SCALP scalp_5m_vwap_reclaim_micro__smart_exit_c 81 22.22 -0.5612 0 — —
SCALP scalp_5m_vwap_reclaim_micro_discovery 9 44.44 -0.4285 0 — —
SCALP scalp_5m_vwap_reclaim_micro_discovery__smart_exit_a 2 50.00 -0.3981 0 — —
SCALP scalp_5m_vwap_reclaim_micro_discovery__smart_exit_b 2 50.00 -0.7947 0 — —
SCALP scalp_5m_vwap_reclaim_micro_discovery__smart_exit_c 2 50.00 -0.3981 0 — —
SCALP scalp_5m_vwap_reclaim_micro_fast_discovery 36 38.89 -0.3183 0 — —
SCALP scalp_5m_vwap_reclaim_micro_fast_discovery__smart_exit_a 11 27.27 -0.4669 0 — —
SCALP scalp_5m_vwap_reclaim_micro_fast_discovery__smart_exit_b 11 36.36 -0.4246 0 — —
SCALP scalp_5m_vwap_reclaim_micro_fast_discovery__smart_exit_c 11 27.27 -0.5111 0 — —
SCALP scalp_bb_mean_reversion_root 0 — — 0 — —
SCALP scalp_bb_squeeze_breakout_root 0 — — 0 — —
SCALP scalp_bullish_candle_impulse_root 0 — — 0 — —
SCALP scalp_donchian_breakout_root 0 — — 0 — —
SCALP scalp_ema_pullback_reclaim_root 0 — — 0 — —
SCALP scalp_ema_trend_root 0 — — 0 — —
SCALP scalp_lower_wick_reversal_root 0 — — 0 — —
SCALP scalp_macd_impulse_root 0 — — 0 — —
SCALP scalp_range_breakout_root 0 — — 0 — —
SCALP scalp_rsi_momentum_root 0 — — 0 — —
SCALP scalp_stochastic_reversal_root 0 — — 0 — —
SCALP scalp_vwap_reclaim_root 0 — — 0 — —