Awaiting data
Every assumption has a concrete quarterly target.
When earnings arrive, we check: did the target get met?
If the AI said “on track” and the target was met — correct.
If the AI said “in trouble” and the target was missed — also correct.
Mismatches are failures. Higher accuracy = the AI is reading the news correctly.
After first earnings cycle (~Jun 2026)
-5.35%
long-short spread
Hit rate (Buy):
26.7% (4/15)
Hit rate (Sell):
50.0% (2/4)
Buy return:
-4.63%
Sell return:
+0.72%
⚠ Unstable signals: HDFCBANK (6.7/90d), RELIANCE (6.7/90d), INDIGO (10.0/90d), MARUTI (5.0/90d), LT (5.0/90d), SBIN (5.0/90d), NTPC (5.0/90d), META (4.9/90d), GOOGL (6.5/90d), TSLA (4.9/90d), AAPL (8.2/90d), MSFT (4.9/90d), AXISBANK (10.0/90d), POWERGRID (5.0/90d), TATASTEEL (5.0/90d)
Spread > 0 and hit rate > 60% = success.
One vote per stock per bucket. Min 7-day holding.
After 3-6 months (~Sep 2026)
+1.78%
blended alpha (gross)
+0.91%
blended alpha (net of costs)
Portfolio:
-0.74%
Benchmark:
-3.40%
Alpha (gross):
+2.67%
Turnover:
+515.38%
Cost drag:
-1.03%
Alpha (net):
+1.64%
Portfolio:
+4.65%
Benchmark:
+7.33%
Alpha (gross):
-2.68%
Turnover:
+61.05%
Cost drag:
-0.03%
Alpha (net):
-2.71%
Success = the AI portfolio beats at least one market index.
Uses the actual fund NAV — Buy-rated stocks receive
higher conviction-weighted allocation, Hold/Sell stocks
receive the remainder equally. Rebalanced daily.
Net alpha accounts for estimated transaction costs
(India: ~0.20%/round-trip, US: ~0.05%/round-trip).