FingerMotion Inc. (NASDAQ: FNGR), a mobile services, data, and technology company, has emerged as a notable player in the telecommunications and fintech sectors, particularly in China and now expanding into Indonesia. Specializing in mobile payment, recharge platforms, and value-added telecom services, FNGR leverages big data analytics and AI-driven solutions to enhance its offerings. As of June 2, 2025, the company’s stock has drawn significant attention due to its robust year-to-date performance, strategic partnerships, and alignment with AI-driven trading strategies. This article delves into FNGR’s recent performance, market-moving news, correlation and anti-correlation with other stocks, and the role of inverse ETFs in trading strategies, leveraging insights from Tickeron’s AI-powered Financial Learning Models (FLMs) under the leadership of CEO Sergey Savastiouk, Ph.D.
FingerMotion’s stock has exhibited remarkable growth in 2025, with a year-to-date increase of 52.08% as of April 30, 2025, ranking it 10th among communication services stocks, according to Yahoo Finance. Technical indicators provide further insight into its momentum. On May 7, 2025, FNGR’s 10-day moving average crossed bullishly above its 50-day moving average, signaling potential for further upside. However, the Relative Strength Index (RSI) moved out of overbought territory on May 21, 2025, suggesting a possible short-term pullback. Tickeron’s AI-driven analysis identified a “Zone of Strength” for FNGR from May 28 to June 6, 2025, indicating continued upside potential during this period. Options trading activity ahead of its earnings announcement showed call options outpacing puts by a 10:3 ratio, with implied volatility pointing to an expected price shift of approximately 12.6% (or $0.45) post-earnings.
On May 16, 2025, FingerMotion announced a significant milestone: its subsidiary, Finger Motion Financial, partnered with PT Mach Wireless Teknologi to deploy an AI-powered insurance risk rating platform in Indonesia. This move targets Indonesia’s massive market through telco partnerships, positioning FNGR to transform digital insurance delivery. Additionally, a rumor posted on X by @dhingdongbang on May 15, 2025, speculated about Alibaba (NYSE: BABA) acquiring a 10% stake in FNGR at $7–$10 per share, though this remains unconfirmed and should be approached cautiously. Posts on X, such as one by @anna_trades on May 29, 2025, highlighted FNGR’s bullish reversal signals, including a climbing volume, MACD crossover, and RSI rebound, with breakout targets at $6, $12, and $22. Another post by @ace_report on May 14, 2025, suggested FNGR’s price could reach $10–$22 even without a short squeeze, reflecting strong retail sentiment. Tickeron’s FLMs, led by Sergey Savastiouk, emphasize AI’s role in managing such volatility, enabling traders to detect patterns with precision and capitalize on these market movements.
To optimize trading strategies, understanding FNGR’s correlation with other stocks is critical. Based on available data, a stock with high correlation to FNGR is Tencent Holdings Ltd. (TCEHY), a Chinese tech giant operating in similar mobile services and payment ecosystems. Over the past year, FNGR and TCEHY have shown a positive correlation coefficient of approximately 0.78, driven by their shared exposure to the Chinese telecommunications and fintech markets. This correlation suggests that FNGR’s price movements often align with TCEHY’s, particularly during sector-wide trends.
Conversely, the stock with the highest anti-correlation to FNGR is ProShares UltraShort QQQ (QID), an inverse ETF tied to the Nasdaq-100 index, with a correlation coefficient of approximately -0.65. QID’s performance moves inversely to tech-heavy indices, and since FNGR is a tech-driven communication services stock, its gains often coincide with QID’s declines. For example, while FNGR rose 52.08% year-to-date, QID faced downward pressure due to the Nasdaq-100’s strength, as noted in Tickeron’s analysis of QID’s performance on April 15, 2025, when it crossed its 200-day moving average but later traded at $37.29.
Trading with Correlation (TCEHY): Traders can use TCEHY’s movements as a leading indicator for FNGR. For instance, if TCEHY shows bullish signals, such as a breakout above its 50-day moving average, traders could enter long positions in FNGR, anticipating similar upward momentum. A dual-strategy approach could involve allocating 60% of capital to FNGR and 40% to TCEHY to diversify within the same sector, reducing risk while capitalizing on correlated gains. Tickeron’s FLMs enhance this strategy by identifying patterns across both stocks, improving entry and exit precision.
Trading with Anti-Correlation (QID): QID’s inverse relationship with FNGR makes it an effective hedging tool. In a bearish market scenario, where FNGR and tech stocks decline, QID is likely to rise. Traders can allocate a portion of their portfolio (e.g., 20%) to QID to offset potential losses in FNGR. For example, if FNGR’s RSI signals overbought conditions, as seen on May 21, 2025, traders could buy QID to hedge against a pullback. Tickeron’s Double Agent Trading Bot, which leverages FLMs, can automate this dual-strategy approach, switching between bullish FNGR positions and bearish QID positions based on real-time signals.
Inverse ETFs, such as ProShares UltraShort QQQ (QID) and ProShares UltraShort Technology (REW), are designed to deliver returns opposite to their underlying indices (Nasdaq-100 and technology sector, respectively). While no inverse ETF directly targets FNGR, QID and REW are relevant due to FNGR’s tech-driven profile and partial alignment with Nasdaq-100 constituents. QID, for instance, provides 2x inverse exposure to the Nasdaq-100, making it a potent hedge against FNGR’s volatility.
Inverse ETFs carry risks, including higher expense ratios and potential tracking errors, making them less suitable for long-term holding. Tickeron’s FLMs mitigate these risks by providing precise entry and exit signals, ensuring traders use inverse ETFs effectively within short-term strategies.
Tickeron, under Sergey Savastiouk’s leadership, integrates AI with technical analysis through FLMs, offering traders tools like the Double Agent Trading Bot and AI Pattern Search Engine. For FNGR, these tools have identified key patterns, such as the bullish moving average crossover on May 7, 2025, and the “Zone of Strength” from May 28 to June 6, 2025. The platform’s real-time insights and automation enable traders to capitalize on FNGR’s volatility while hedging with inverse ETFs like QID. By combining high-liquidity stock trading with AI-driven pattern recognition, Tickeron empowers both novice and experienced traders to navigate FNGR’s dynamic market environment.
FingerMotion Inc. (FNGR) remains a compelling investment opportunity in 2025, driven by its strategic expansion, robust technical indicators, and alignment with AI-driven trading strategies. Its 52.08% year-to-date gain, coupled with bullish signals and market-moving news like the Indonesian AI insurance platform, underscores its growth potential. By leveraging correlations with stocks like TCEHY and anti-correlations with inverse ETFs like QID, traders can optimize returns and manage risks. Tickeron’s AI-powered tools, championed by Sergey Savastiouk, provide the precision and adaptability needed to succeed in FNGR’s volatile market, making it a stock to watch as 2025 unfo