60-Minute Timeframe | 183 Days Actual Performance | March 2025 – March 2026
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Date Range |
March 5, 2025 – March 4, 2026 |
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Total Net Profit |
$17,558.26 |
|
Annualized Return |
37.84% |
|
Win Rate (Profitable Trades) |
82.00% (41 of 50 trades) |
|
Profit Factor |
4.79 |
|
Sharpe Ratio |
3.0 |
|
Profit / Drawdown Ratio |
5.14 |
|
Average Trade P/L |
$351.17 |
|
Average Winning Trade |
$557.95 |
|
Average Losing Trade |
($530.84) |
|
Average Trade Duration |
4 days |
|
Max Open Trades |
50 |
|
Absolute Drawdown |
$3,416.14 |
|
Max Drawdown Per Trade |
$1,662.21 |
|
Amount Per Trade |
$33,000 |
|
Long Positions (Win %) |
50 positions (82.00%) |
|
Short Positions (Win %) |
0 positions (N/A) |
Tickeron's Defense PPA AI Trading Agent is an automated swing trading system focused exclusively on PPA — the Invesco Aerospace & Defense ETF. Designed with a 60-minute entry timeframe and daily timeframe exit signals, the robot balances intraday precision with longer-duration swing holding, allowing it to capture meaningful price moves in one of the most momentum-driven sectors of 2025–2026.
Across 183 days of live actual performance, the robot delivered a Total Net Profit of $17,558.26 on 50 closed trades, with 41 of those trades profitable — an 82% win rate that is exceptionally high by any standard. The Profit Factor of 4.79 means that for every dollar lost, the system generated $4.79 in gross profit. These are not backtested simulations; they reflect live market execution using real-time price data.
PPA (Invesco Aerospace & Defense ETF) tracks the SPADE® Defense Index, a benchmark composed of companies systematically important to defense, military, national/homeland security, and U.S. government space operations. The fund invests at least 90% of total assets in index constituents, providing concentrated exposure to defense contractors, aerospace manufacturers, and national security technology firms.
PPA's performance has been exceptional in the current geopolitical environment:
Global defense spending is surging. NATO nations are accelerating procurement to meet the 2% GDP target. The U.S. has allocated over $850 billion to defense in fiscal year 2025. Multi-year order backlogs at major defense contractors provide sustained earnings visibility, making PPA one of the strongest-performing sector ETFs in the current macro landscape.
The robot's architecture blends two distinct timeframes into a unified decision engine — high-frequency entry detection with patient, swing-level exits.
60-Minute Pattern Recognition
Entry signals are generated on the M60 chart using high-frequency pattern analysis. The system scans for statistical edge conditions — momentum shifts, volume confirmation, and price structure — before initiating a position. This intraday granularity allows the robot to enter positions at optimal levels rather than chasing moves on daily charts.
FLM-Based Trend Filtering
Tickeron's proprietary Financial Learning Models (FLMs) validate each potential entry against the prevailing daily trend. This dual-timeframe confirmation process dramatically reduces false signals. A 60-minute setup that conflicts with the broader daily trend is filtered out before execution — a key reason why the robot achieves an 82% win rate across live trades.
Smart Swing Trading Exits
Exit signals are confirmed on the daily timeframe, allowing winning positions to develop fully rather than being prematurely cut by intraday noise. With an average trade duration of 4 days and a maximum of 19 consecutive wins worth $9,711.44, the robot demonstrates consistent forward momentum across multiple trade sequences.
Risk and Position Management
The robot supports up to 50 open positions simultaneously while deploying $33,000 per trade — a meaningful allocation designed to generate material returns per position. Despite this exposure, maximum drawdown per trade stands at just $1,662.21, and absolute drawdown across the entire live period was only $3,416.14 — a small fraction of the $17,558.26 in profits generated.
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Key Risk / Reward Profile For every $3,416 of peak-to-trough drawdown experienced over 183 live trading days, the robot generated $17,558 in net profit — a 5.14x Profit/Drawdown ratio. The maximum consecutive loss run totaled just $2,696.44 across 3 trades. |
Financial Learning Models (FLMs) are Tickeron's proprietary AI architecture built specifically for financial market analysis. Unlike static, rules-based algorithms that react to fixed conditions, FLMs are dynamic systems that continuously learn from market data and adapt to evolving conditions.
Where a conventional algorithm might fire on a single moving average crossover, an FLM evaluates hundreds of variables simultaneously — price action structure, volume dynamics, intermarket relationships, trend velocity — and assigns probabilistic weights to each in real time. The result is a higher-confidence trade signal with significantly fewer false entries.
In the Defense PPA robot, FLMs serve a critical dual role: validating intraday entry signals for alignment with the daily trend, and dynamically adjusting signal thresholds based on current volatility regimes. When conditions deteriorate, the system becomes more selective. When trends are clearly established, it captures opportunity more aggressively.
This reflects the broader vision of Tickeron's CEO, Sergei Savastiouk, Ph.D. — to make institutional-grade AI trading tools accessible to every retail investor, democratizing a technology landscape previously dominated by quantitative hedge funds and proprietary trading desks.
|
Maximum Consecutive Wins |
19 wins ($9,711.44) |
|
Maximum Consecutive Losses |
3 losses ($2,696.44) |
|
Average Consecutive Wins |
8 |
|
Average Consecutive Losses |
2 |
|
Largest Single Profit Trade |
$1,176.93 |
|
Largest Single Loss Trade |
($1,058.41) |
The robot's streak profile underscores its resilience. The average winning streak of 8 trades versus an average losing streak of just 2 trades demonstrates that the FLM-based filtering is highly effective at clustering gains and cutting loss exposure quickly before extended drawdown sequences can develop.
The Defense PPA robot is trading in a macro environment that is providing exceptional structural tailwinds. Several forces are converging to support continued outperformance in the aerospace and defense sector:
The Defense PPA AI Trading Agent is explicitly designed to be accessible to beginner traders while delivering performance metrics that satisfy experienced participants.
The robot's Medium volatility classification and balanced Profit/Drawdown scenario make it particularly suitable for traders who prioritize capital preservation alongside growth — not just maximum returns at any cost.
Before deploying capital with any AI trading robot, traders must understand the following risk categories:
DISCLAIMER
The information in this document is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile. All investing carries inherent risks, including the possibility of losing your entire investment. Past performance does not guarantee future results. Always do your own research or consult a licensed advisor. Prices can go down as well as up. For full details, please review Tickeron's complete Disclaimers and Limitations at tickeron.com/app/legal.
Simulated Performance: All simulated performance results are derived solely from real-time calculations using historical data. Actual Performance results are derived from real-time calculations using current data. Net performance results deduct fees to provide a more accurate representation of returns experienced by the user.
Tickeron AI Perspective
PPA moved below its 50-day moving average on April 10, 2026 date and that indicates a change from an upward trend to a downward trend. In of 38 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are .
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 4 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
The 10-day moving average for PPA crossed bearishly below the 50-day moving average on March 19, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where PPA declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The Aroon Indicator for PPA entered a downward trend on April 09, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where PPA's RSI Oscillator exited the oversold zone, of 19 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
The Momentum Indicator moved above the 0 level on April 06, 2026. You may want to consider a long position or call options on PPA as a result. In of 81 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .
The Moving Average Convergence Divergence (MACD) for PPA just turned positive on April 07, 2026. Looking at past instances where PPA's MACD turned positive, the stock continued to rise in of 47 cases over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where PPA advanced for three days, in of 343 cases, the price rose further within the following month. The odds of a continued upward trend are .
PPA may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Industrials