Tickeron, Inc. is revolutionizing AI-powered trading by integrating Web3 technologies, leveraging blockchain for transparency and verifiability. This transition ensures users can trust and audit the performance of AI trading solutions, powered by advanced Financial Learning Models (FLMs), without relying on centralized reporting.
Introducing the $Tickeron Token
Tickeron has launched the $Tickeron Token, a digital asset enabling access to advanced AI Trading Agents. For Tickeron, the token attracts users and investors who value transparency. For users, it offers preferential access to premium tools, with potential for staking and governance based on the platform's roadmap. Users can acquire $Tickeron Tokens via: jup.ag/swap/SOL-HUWzPAUYLgAMWbP8MiQctEUDjqgp5dzQDVw61xpA1Xdc
Token-Based Access to AI Tools (The Utility Use)
Users can exchange $Tickeron Tokens for monthly preferred subscriptions to one of AI Trading Agents:
Payments use $Tickeron Tokens based on the token's closing price from the second to last hour, making it cost-effective for trading robot access.
To subscribe, register at tickeron.com, select a product from the catalog (tickeron.com/bot-trading/virtualagents/all), and follow the instructions here https://x.com/Tickeron_Token/status/1942277201686397102.
A New Era for AI Trading
"Tickeron's integration of Web3 and advanced FLMs marks a breakthrough in AI trading precision and transparency," said Sergey Savastiouk, Ph.D., CEO of Tickeron. "Our 5-minute and 15-minute AI agents empower traders with institutional-grade tools, democratizing access to sophisticated strategies."
About Tickeron
Tickeron provides AI-driven tools for traders. Its Financial Learning Models (FLMs) use machine learning to enhance financial education and decision-making. These FLMs offer insights into market trends, trading strategies, and investment options, tailored to users' knowledge levels. Using real-time data and predictive analytics, they help users understand financial markets and improve trading decisions.
https://tickeron.com/
The 50-day moving average for SPY moved above the 200-day moving average on June 27, 2025. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SPY advanced for three days, in of 364 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 428 cases where SPY Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The RSI Indicator demonstrates that the ticker has stayed in the overbought zone for 6 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 8 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
The Moving Average Convergence Divergence Histogram (MACD) for SPY turned negative on July 29, 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 52 similar instances when the indicator turned negative. In of the 52 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 SPY declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
SPY broke above its upper Bollinger Band on July 25, 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.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeBlend