Live run 10:40 · 1 flagged
History: 4,288,833 candles · 194 stocks (2026-03-02 → 2026-06-01)
★ MOMENTUM STRATEGY — validated edge · top 10 · monthly rebalance · the only strategy that passed out-of-sample testing
Forward Edge vs Market
+0.00%
0 months tracked live
Momentum / Market
0.00% / 0.00%
cumulative since tracking
Holdings (2026-06)
10 stocks
rebalanced monthly
Current Portfolio — 2026-06
#
Symbol
Trailing Ret%
1
NATIONALUM
77.72
2
BHEL
65.49
3
IDEA
51.60
4
ADANIPOWER
46.11
5
BHARATFORG
45.88
6
LAURUSLABS
44.62
7
NAVINFLUOR
44.54
8
SAIL
44.43
9
GRANULES
37.93
10
ABB
35.28
Live Forward Track
Tracking starts next month. Run momentum_live.py monthly — each run scores the prior month's picks vs the market.
Risk reality: backtest worst month was −10% to −16%. This concentrated 10-stock portfolio is volatile. Edge is real but modest (~0.3–0.4%/mo over market). Only run with capital you can hold through deep months. A plain index fund is the honest benchmark.
OBSERVATION & PAPER LAYERintraday flag strategy — tested, no edge after costs · kept for reference & live market awareness
Cumulative P&L
-2,222.86
paper · ₹20k/day model
Win Rate
0%
0W / 47L · 47 trades
Days Tracked
4
settled sessions
Market Breadth
+0.35%
144
29
advancers vs decliners
Equity Curve paper P&L over time
Flagged — Live 1 stocks
Symbol
Last
Move%
Rng
Trig
Mag
HCLTECH
1,179.00
1.08
0.04
range
small_1to2
Net P&L by Magnitude
No settled trades yet.
Net P&L by Direction
No settled trades yet.
By Trigger Type
No settled trades yet.
Stock Explorer price history from 4.2M candles
↓ Pick a stock and a date to chart it
Daily Scorecard
Date
Net P&L
Traded
W/L
Unafford.
2026-06-04
-426.58
9
0/9
22
2026-06-03
-614.94
13
0/13
43
2026-06-02
-614.20
13
0/13
104
2026-06-01
-567.14
12
0/12
82
Claude — End-of-Day Read · 2026-06-04
This dataset is completely uninformative—every single trade returned exactly to entry (zero price change) and lost precisely the same amount in costs (~47.40), which is statistically impossible in real market conditions. Either the "sold at close" prices are identical to entry by data error, the market froze, or these trades were never actually executed.
Without any price variation whatsoever, there's no way to evaluate whether labels, trigger types, or magnitude thresholds separate winners from losers—you're just looking at nine identical flat lines minus transaction costs. The -426.59 total is purely 9x the cost structure with zero signal about edge or lack thereof.
To do meaningful analysis, you'd need actual exit prices that differ from entry, showing which flags led to continuation versus reversal. This appears to be a data collection or execution problem rather than a trading strategy problem.
Observation phase · paper trades only · no real orders placed · auto-refresh 60s · built on Groww + Claude