◆ WATCHER TERMINALPAPER · NO REAL ORDERS

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
#SymbolTrailing Ret%
1NATIONALUM 77.72
2BHEL 65.49
3IDEA 51.60
4ADANIPOWER 46.11
5BHARATFORG 45.88
6LAURUSLABS 44.62
7NAVINFLUOR 44.54
8SAIL 44.43
9GRANULES 37.93
10ABB 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 LAYER intraday 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

SymbolLastMove%RngTrigMag
HCLTECH1,179.00 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

DateNet P&LTradedW/LUnafford.
2026-06-04 -426.58 90/922
2026-06-03 -614.94 130/1343
2026-06-02 -614.20 130/13104
2026-06-01 -567.14 120/1282

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