Streamline Your Trading with the New My Trades Aggregator
As a financial analyst, writer, and AI specialist, I've always pushed for innovations that merge artificial intelligence with actionable trading tools. In the fast-paced world of modern markets, where volatility demands quick decisions, Tickeron's new "My Trades Aggregator (from AI Robots Followed)" aggregator stands out as a revolutionary feature. Launched to meet the growing need for multi-robot oversight, this centralized dashboard lets users follow and monitor trades from multiple AI robots simultaneously. No more toggling between screens or drowning in data silos—whether you're tracking three Signal Agents for quick scalps or ten Brokerage Agents for high-frequency plays, everything converges in one intuitive board. Built for Tickeron's AI Trading suite, it streamlines portfolio management, boosting efficiency for traders at all levels.
Demystifying AI Trading Agents: Signal, Virtual, and Brokerage
Tickeron's AI Trading ecosystem leverages machine learning algorithms trained on 5-, 15-, and 60-minute timeframes to deliver real-time trading signals. Each agent type caters to different trader needs, ensuring flexibility without compromising on accuracy.
The AI Trading (Signal Agents) focus on simplicity and immediacy. These bots generate signals optimized for copy trading, using fixed trade amounts and requiring no minimum balance. Ideal for beginners or those seeking straightforward execution, they provide actionable alerts to mimic professional moves instantly, reducing decision fatigue in fast-paced sessions.
For more sophisticated users, AI Trading (Virtual Agents) introduces money management features. With customizable virtual balances, these agents simulate trades while incorporating risk controls like position sizing and stop losses. This allows traders to test strategies in a risk-free environment before going live, all powered by the same robust ML models that analyze short-term market patterns.
At the professional level, AI Trading (Brokerage Agents) integrates tick-level brokerage data for ultra-precise signals, including dynamic trade amounts based on live market depth. These agents excel in high-frequency environments, offering traders an edge through granular insights into liquidity and volatility, directly executable via connected brokers.
By consolidating these agents on the My Trades Aggregator, users gain a unified view, making it easier to diversify across strategies without juggling multiple platforms.
Core Fields on the My Trades Aggregator: Your All-in-One Tracking Hub
The board's intuitive interface displays a comprehensive set of fields, ensuring no detail slips through the cracks. Here's how it structures your oversight:
- Ticker Name: Identifies the stock or asset at a glance, supporting multi-robot tracking across diverse portfolios.
- Current Price ($): Real-time valuation to assess ongoing positions.
- Entry Price ($): The initial purchase point, crucial for calculating returns.
- Entry Time (ET): Timestamp in Eastern Time for precise chronological tracking.
- Exit Price ($): Closing value for completed trades, enabling quick profit evaluation.
- Exit Time (ET): Marks the end of the holding period.
- # of Shares: Quantity traded, vital for scaling and volume analysis.
- Holding Time: Duration from entry to exit, highlighting efficiency in volatile markets.
- Source of Idea: Attributes signals to specific AI agents (e.g., Signal Agent #2 or Virtual Agent Portfolio A), clarifying which bot drove the trade.
- Profit ($/%): Dual metric showing absolute and percentage gains/losses for holistic performance review.
- Trades Opened/Closed: Running totals, with breakdowns like Recent Trades (total count), Opened Trades (active positions), and Closed Trades (quantity from last week) for trend spotting.
This layout transforms fragmented data into a cohesive narrative. Imagine overseeing five robots: one Signal Agent hunting quick scalps, two Virtual Agents managing balanced portfolios, and two Brokerage Agents chasing tick-driven opportunities. The board aggregates everything, flagging underperformers or scaling winners seamlessly.
Unlocking Benefits: Efficiency, Transparency, and Scalability
In an era of algorithmic dominance, the My Trades Aggregator addresses key pain points for multi-robot traders. Centralization reduces cognitive overload—studies show traders lose up to 20% efficiency when switching tools, but here, all signals and metrics converge. Transparency shines through the "Source of Idea" field, letting you audit AI decisions and refine your follow list.
Scalability is another boon: Track 3 robots for a starter portfolio or 10+ for advanced diversification. Recent performance snapshots, like Closed Trades from last week (e.g., 15 wins out of 22 for a Virtual Agent), provide instant ROI insights. No more manual spreadsheets or delayed alerts; everything updates in real-time, aligning with the 24/7 market grind.
From a financial analyst's lens, this board mitigates risks by promoting data-driven adjustments. If a Brokerage Agent's tick-level signals yield 8% weekly profits but high drawdowns, you can pause it via the dashboard. AI specialist perspective: The underlying ML evolves with market data, adapting to anomalies like earnings surprises, ensuring signals remain predictive.
Tickeron and Financial Learning Models (FLMs): The AI Backbone
At the heart of these agents lie Tickeron's Financial Learning Models (FLMs), a fusion of AI and technical analysis championed by Sergey Savastiouk, Ph.D., CEO of Tickeron. Savastiouk emphasizes FLMs' role in taming volatility: "By integrating machine learning with proven technical patterns, traders spot opportunities with greater accuracy, turning market noise into actionable intelligence."
FLMs power the board's robots by processing vast datasets—price action, volume, and sentiment—across timeframes. Beginner-friendly options, like liquidity-focused stock robots, offer real-time insights with minimal jargon, while advanced users benefit from pattern recognition that rivals human experts. This blend enhances control: Traders aren't blindly following bots but actively overseeing AI-enhanced decisions, fostering transparency in opaque markets.
Performance at a Glance: Recent Trades Insights
The board's analytics section spotlights momentum. For instance, Recent Trades might tally 45 actions across agents, with 28 Opened Trades signaling active strategies and 17 Closed Trades last week boasting a 65% win rate (average +2.3% profit). These metrics, segmented by agent type, help benchmark performance—Signal Agents for volume, Virtual for consistency, Brokerage for precision.
In summary, the My Trades board isn't just a tracker; it's a strategic command center for AI-augmented trading. By consolidating Signal, Virtual, and Brokerage Agents, it democratizes multi-robot oversight, backed by FLMs' intelligent core. For traders eyeing 5+ bots, this tool promises efficiency gains and sharper edges. Dive in, and let AI handle the heavy lifting while you focus on growth.
SOXL's RSI Oscillator leaves overbought zone
The 10-day RSI Indicator for SOXL moved out of overbought territory on October 10, 2025. This could be a sign that the stock is shifting from an upward trend to a downward trend. Traders may want to look at selling the stock or buying put options. Tickeron's A.I.dvisor looked at 36 instances where the indicator moved out of the overbought zone. In of the 36 cases the stock moved lower in the days that followed. This puts the odds of a move down at .
Technical Analysis (Indicators)
Bearish Trend Analysis
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 67 cases where SOXL's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
The Momentum Indicator moved below the 0 level on October 22, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on SOXL as a result. In of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for SOXL turned negative on October 13, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 48 similar instances when the indicator turned negative. In of the 48 cases the stock turned lower in the days that followed. This puts the odds of success at .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SOXL declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
SOXL broke above its upper Bollinger Band on October 08, 2025. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
Bullish Trend Analysis
Following a +1 3-day Advance, the price is estimated to grow further. Considering data from situations where SOXL advanced for three days, in of 325 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 252 cases where SOXL Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
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