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Jun 14, 2026 6:15 PM

NEW Consumer Staples, Gold Miners, Industrials, Defense, AI & Data Infrastructure, Crypto Mining - Trading Results AI Trading Agent (32 Tickers), 15min

4 0
10+ 10
Adjustable trading balance $100,000 Profit (382 days) $81,211 Annualized Return + 76%
DESCRIPTION
MAIN STATS
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Description:

Overview: This AI trading agent is designed for aggressive, high-frequency intraday trading across a diversified basket of 32 tickers on a 15-minute timeframe. The system operates across multiple sectors, including Consumer Staples, Precious Metals Mining, Defense & Aerospace, AI Infrastructure & Data Centers, Industrial Manufacturing, and Bitcoin Mining Infrastructure. It is powered by advanced Financial Learning Models (FLMs), eliminating emotional bias by transforming real-time market data into a dual-perspective signal framework that identifies momentum shifts, breakouts, and trend reversals.

The strategy actively trades both long and short positions, allowing it to profit from bullish expansions as well as bearish corrections across defensive, infrastructure, and macro-sensitive equities.

Its core strength lies in diversified exposure to globally recognized consumer brands, critical infrastructure providers, defense contractors, commodity-linked miners, and digital infrastructure leaders. By dynamically allocating capital toward tickers with the highest Momentum Probability and applying a Trailing Stop-Loss system, the agent is optimized for volatility capture, capital efficiency, and risk-balanced intraday execution.

Tickers & Company Briefs

Consumer Staples:

TGT (Target), COST (Costco), WMT (Walmart), KR (Kroger), SYY (Sysco), BUD (AB InBev), DEO (Diageo), PEP (PepsiCo), KO (Coca-Cola), PM (Philip Morris), CL (Colgate-Palmolive), PG (Procter & Gamble), HSY (Hershey), UL (Unilever), ABEV (Ambev), KDP (Keurig Dr Pepper)

Gold Mining:

HMY (Harmony Gold), GFI (Gold Fields), AU (AngloGold Ashanti), NEM (Newmont)

Industrials:

MOD (Modine Manufacturing)

Defense & Aerospace:

NOC (Northrop Grumman), LMT (Lockheed Martin), LHX (L3Harris Technologies), RTX (RTX Corporation)

AI Infrastructure / Data Centers:

CCI (Crown Castle), AMT (American Tower), DBRG (DigitalBridge), DLR (Digital Realty), EQIX (Equinix), IRM (Iron Mountain), NVT (nVent Electric), VRT (Vertiv), RXT (Rackspace Technology)

Bitcoin Mining / Crypto:

RIOT (Riot Platforms), HUT (Hut 8)

Why Diversify? (Multi-Sector Defensive + Infrastructure + Commodities + Crypto Exposure)

1. Defensive Stability (Consumer Staples):

Companies like Target Corporation, Costco Wholesale Corporation, Walmart Inc., The Coca-Cola Company, and Procter & Gamble provide low-volatility cash flow resilience while still offering intraday momentum opportunities during macro shifts.

2. Commodity & Precious Metals Sensitivity:

Gold miners such as Newmont Corporation and Gold Fields Limited respond strongly to inflation, interest rate expectations, and risk-off flows, creating sharp directional trading setups.

3. Defense & Geopolitical Exposure:

Defense leaders like Lockheed Martin, Northrop Grumman, RTX Corporation, and L3Harris Technologies benefit from long-term government contracts and geopolitical volatility.

4. AI Infrastructure & Digital Backbone:

Data center and infrastructure leaders such as Equinix, Digital Realty, American Tower Corporation, and Vertiv provide strong AI-driven structural growth themes with high intraday liquidity.

5. Industrial & Energy Systems:

Modine Manufacturing Company contributes cyclical industrial exposure linked to manufacturing demand and energy efficiency trends.

6. Bitcoin & Crypto Infrastructure:

Crypto-linked equities such as Riot Platforms and Hut 8 Corp. provide high-volatility exposure tied to digital asset cycles and liquidity expansion phases.

Strategy: BUY LONG & SELL SHORT

This portfolio is optimized for bidirectional intraday trading, capturing both upside momentum and downside volatility across macro-sensitive sectors. The system continuously evaluates breakout probability, trend continuation, and reversal signals using FLM-based predictive modeling.

ML Overview: 15 min

In a 15-minute framework, Financial Learning Models (FLMs) process real-time price action, volume dynamics, and volatility regimes to generate actionable long and short signals. The system enhances execution precision, reduces emotional bias, and improves timing accuracy for rapid intraday decision-making.

Description of Agent

This AI agent continuously analyzes market microstructure, momentum acceleration, technical breakouts, and volatility clustering across a diversified multi-sector universe. It is designed for high-frequency tactical trading, focusing on short holding periods, rapid capital rotation, and strict risk management.

The agent is suitable for traders seeking aggressive intraday exposure, leveraging both bullish and bearish market conditions across defensive equities, infrastructure leaders, commodities, and crypto-linked assets.

Trading Dynamics and Specifications:

  • Maximum Open Positions: Medium, allowing for diversified exposure while managing concentration risk.

  • Robot Volatility: Low, attributed to the strategic entry after minor pullbacks and careful position management..

  • Universe Diversification Score: Low, indicating a narrow array of instruments to hedge against sector-specific downturns and enhance profit opportunities.

  • Profit to Dip Ratio (Profit/Drawdown): High, suitable for traders who are focusing either on high profit or low drawdown for potentially higher returns, which makes it ideal for all levels.

  • Optimal Market Condition High: If the current market volatility is High, then you should use the Best Robots in High Volatility Market (VIX is High - this indicator is coming soon).  

Disclaimer:  Disclaimers and Limitations 

Simulated Performance: All simulated performance results are derived solely from real-time calculations using historical data. Algorithms receive minute-by-minute historical prices and other data from Morningstar and generate trades in real time based on these historical inputs, effectively eliminating any hindsight bias. 

Actual Performance: All actual performance results are derived solely from real-time calculations using current data. Algorithms receive minute-by-minute current prices and other data from Morningstar and generate trades in real time based on these current inputs, effectively eliminating any hindsight bias. 

Gross Performance: Gross performance results do not deduct any fees or expenses. These results reflect the total returns generated by the AI Robots without considering the costs associated with accessing the service. 

Net Performance (current performance chart): Net performance results deduct fees to provide a more accurate representation of returns experienced by the user. These deductions can include: Model Fee Deduction: Net performance results may deduct a model fee equivalent to the highest subscription fee charged to the intended audience. Actual Subscription Fees: Net performance results may also deduct the actual subscription fees paid by the user for access to AI Robot

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Actual Performance
(364 days)
Date range
6/15/2025 - 6/14/2026
Amount Of Each Trade:
Open Trades P/L:
Closed Trades P/L:
Total Net Profit:
Show All Stats
Simulated Performance

This Robot is recommended to be used when the markets are growing in general. The core algorithm makes only long The core algorithm makes only long

Generate All Stats
Open Trades (25)
Closed Trades
Pending Orders
Closed Trades P/L
Copy  0 tickers the first  
30
30
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300
to tickers to  
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Comm. Predictions
Trend Prediction Engine SUBSCRIBE
Pattern Search Engine SUBSCRIBE
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Ticker
TGT TGT
TGT TGT
TGT TGT
HMY HMY
TGT TGT
BUD BUD
ABEV ABEV
ABEV ABEV
GFI GFI
HUT HUT
MOD MOD
RIOT RIOT
ABEV ABEV
ABEV ABEV
ABEV ABEV
TGT TGT
TGT TGT
NVT NVT
RXT RXT
NVT NVT
Current
Price,$
135.215
135.215
135.215
15.855
135.215
82.885
3.25
3.25
36.5
118.93
274.34
26.605
3.25
3.25
3.25
135.215
135.215
165.855
5.43
165.855
1Day
1Day
1Week
1Month
3Month
6Month
1Year
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Entry
Price,$
Bought at
127.41
Bought at
127.43
Bought at
127.43
Bought at
15.15
Bought at
130.565
Bought at
80.4
Bought at
3.1703
Bought at
3.1703
Bought at
35.765
Bought at
117
Bought at
269.78
Bought at
26.42
Bought at
3.2401
Bought at
3.2401
Bought at
3.2401
Bought at
135.23
Bought at
135.23
Bought at
166.23
Bought at
5.4701
Bought at
169.9767
# Of
Shares
9
9
9
82
9
15
392
392
34
10
4
47
384
384
384
9
9
7
227
7
Entry
Time(ET)
6/9/26
10:33 AM
6/9/26
10:45 AM
6/9/26
10:45 AM
6/11/26
1:45 PM
6/11/26
11:45 AM
6/9/26
9:45 AM
6/11/26
9:46 AM
6/11/26
9:46 AM
6/11/26
1:45 PM
6/11/26
3:31 PM
6/11/26
9:49 AM
6/11/26
3:31 PM
6/12/26
9:46 AM
6/12/26
9:46 AM
6/12/26
9:46 AM
6/12/26
9:46 AM
6/12/26
9:46 AM
6/12/26
9:45 AM
6/10/26
9:45 AM
6/12/26
9:58 AM
Holding
Time
5d 3h 41m
5d 3h 30m
5d 3h 30m
3d 30m
3d 2h 30m
5d 4h 30m
3d 4h 29m
3d 4h 29m
3d 30m
2d 22h 43m
3d 4h 25m
2d 22h 43m
2d 4h 29m
2d 4h 29m
2d 4h 29m
2d 4h 29m
2d 4h 29m
2d 4h 29m
4d 4h 30m
2d 4h 17m
Profit,
$/%
70.25
+6.13%
70.06
+6.11%
70.06
+6.11%
57.81
+4.65%
41.85
+3.56%
37.28
+3.09%
31.24
+2.51%
31.24
+2.51%
24.99
+2.06%
19.3
+1.65%
18.24
+1.69%
8.69
+0.7%
3.8
+0.31%
3.8
+0.31%
3.8
+0.31%
-0.13
-0.01%
-0.13
-0.01%
-2.62
-0.23%
-9.1
-0.73%
-28.85
-2.42%
My Paper
Trades,$(%)
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
Open
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Open P/L: $215.39
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