QUANTIT
LIVE · 14:23:05 UTC
Alpha Generation10 ALPHAS · 4 LIVE · 62% ALLOCATED
Alpha Library
CROSS_SECT_VALUE
Research
Cross-Sect

Cross-sectional value factor with quality overlay

Sharpe
2.31
Weight
EARN_REV_MOMENTUM
Live
Momentum

Earnings revision momentum across large-cap equities

Sharpe
2.14
Weight
18%
SHORT_INT_REVERSAL
Live
Mean-Rev

Short interest reversal signal for US mid-caps

Sharpe
1.92
Weight
14%
VOL_SURFACE_ALPHA
Research
Stat-Arb

Volatility surface arbitrage across term structure

Sharpe
1.88
Weight
OPTION_SKEW_ALPHA
Live
Sentiment

Option skew-derived sentiment for single stocks

Sharpe
1.78
Weight
12%
MACRO_REGIME_SWITCH
Live
Event

Macro regime detection for tactical allocation

Sharpe
1.65
Weight
8%
PAIRS_STAT_ARB
Paper
Stat-Arb

Statistical arbitrage pairs trading in tech sector

Sharpe
1.54
Weight
NEWS_SENTIMENT_NLP
Research
Sentiment

NLP-driven news sentiment scoring for event trades

Sharpe
1.41
Weight
FUND_FLOW_MOMENTUM
Decaying
Momentum

Fund flow momentum with declining efficacy

Sharpe
1.23
Weight
6%
SECTOR_ROTATION_V2
Decaying
Cross-Sect

Sector rotation model v2 — performance decaying

Sharpe
0.94
Weight
4%
Correlation Matrix — Live Alphas
EARN_REV_M…
SHORT_INT_…
OPTION_SKE…
MACRO_REGI…
EARN_REV_M…
1.00
0.12
-0.08
0.23
SHORT_INT_…
0.12
1.00
0.05
-0.15
OPTION_SKE…
-0.08
0.05
1.00
0.31
MACRO_REGI…
0.23
-0.15
0.31
1.00
ARKRAFT ALPHA LABAutonomous alpha discovery & validation
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DISCOVERY CONFIGURATION
Arkraft will deploy a team of 9 agents to scan S&P 500
ARKRAFT RESEARCH TEAM· 9 agents
2 done
5 running
2 queued
Portfolio ManagerTEAM LEAD

Orchestrating discovery campaign, allocating compute budget across research threads

Dispatched 4 parallel research tracks. Budget: 142 hypotheses across 3 categories.

PHASE 1 — FEATURE DISCOVERY
Data ScoutFEATURE ENGINEERING4.2s

Scanned 2,847 features across 503 securities. Identified 89 high-information-ratio candidates.

Top features: earnings revision breadth, option skew delta, institutional flow momentum

PHASE 2 — HYPOTHESIS GENERATIONPARALLEL
Hypothesis Gen αMOMENTUM / TREND8.1s

Generated 47 momentum-class hypotheses from price, flow, and revision signals

12 hypotheses passed initial IC screen (>0.03)

Hypothesis Gen βMEAN REVERSION72%

Testing 38 reversion hypotheses — cross-sectional residual momentum decomposition

Hypothesis Gen γSTAT ARB41%

Exploring cointegration pairs and basket residuals across sectors

PHASE 3 — VALIDATION
Backtest EngineVALIDATION61%

Backtesting top 23 candidates with transaction costs and slippage

Overfitting GuardROBUSTNESS CHECK34%

Cross-validating on 5 non-overlapping out-of-sample periods

PHASE 4 — PORTFOLIO INTEGRATION
Correlation AnalystCROWDING DETECTION

Will check new alphas against existing book for factor crowding

Portfolio IntegratorALLOCATION

Will assess marginal contribution to portfolio Sharpe and optimal sizing

CAMPAIGN PROGRESS3 of 10 alphas · Best Sharpe: 2.14 · Est. ~45s remaining
DISCOVERED ALPHAS· 3 found
ALPHASHARPESOURCESTATUS
EARNINGS_REV_MOMENTUM
2.14Hypothesis Gen α
Validating
Sortino 2.87Max DD -8.2%Found by Hypothesis Gen α
SHORT_INT_REVERSAL
1.92Hypothesis Gen α
Validated
Sortino 2.41Max DD -11.4%Found by Hypothesis Gen α
OPTION_SKEW_SIGNAL
1.78Hypothesis Gen α
Validated
Sortino 2.15Max DD -9.8%Found by Hypothesis Gen α