[NVDA]

NVIDIA has reportedly halved its list of AI chip buyers in Asia amid China's tightening review policies. If buying pressure is maintained near the support level and the upward trend continues, I will take profits when the target price of $210.0 is reached. Conversely, if the stop-loss line at $190.0 is breached, I will immediately cut my losses. We considered entering based on the observation of buying interest near the support level of 195.00 and the potential for further upside if the resistance level of 215.00 is breached. Amid reports regarding Chinese regulations, we attempted to enter based on buying pressure near the support level of 195.00, anticipating upward potential upon breaking the resistance level of 215.00. The predicted return was a conservative -1.8%, but the actual result recorded a return of 10.0%, resulting in an OVERHIT designation. The consistent upward trend in both lows and highs following the closing price of 195.04 on 2026-07-30, as observed in the previously reviewed candle data, along with the upward trend in thematic news (recently 357 cases), proved to be effective. In this trading session, we captured the potential for a rebound near the support level, resulting in a positive outcome. In future trades, we will continue to monitor the technical support zones and the increasing trend of thematic news, while calmly contrasting price reaction patterns even amidst headline risk factors. In the past, a similar case was identified with the same stock, NVDA, selected based on overlapping keywords on 2026-08-08 at 15:08:11, showing a return of +10.0%. The cases of VEEE (return of 451.7%) and LRCX (return of 346.8%) do not have direct similarities but are included for reference as top performers in the region. Additionally, according to prior history, this stock exhibited a price reaction pattern of +11.9% on 2026-07-28 and +17.0% on four occasions on 2026-07-29.

The empirical results for NVDA have been completed. The actual volatility was 84.7405612652327%, compared to the predicted return of 85.0%. 📈 V13-Chart-Inception | Visual Evidence and Original Data Verification ● Verified: The chart above is a physical preservation created based on the actual OHLC data at the time of analysis. [Verify directly with the original data deep link]

### [Section 1: Basis of Initial Judgment] At that time, I was confident that NVDA would attempt a technological breakthrough based on its overwhelming dominance in the AI semiconductor ecosystem. On the chart, the 20-day moving average was showing a strong upward curve, and I identified a buying opportunity as it broke through a solid resistance level with explosive trading volume. The market remained sensitive to macro issues, but observing the improvement in the quality of supply and demand, I determined that expanding my position during corrections was a valid strategy. I had no doubt that taking aggressive positions during pullbacks as a leading stock in a bull market would lay the groundwork for significant future profits. ### [Section 2: Future Scenario Predictions] I believe that NVDA's stock price has sufficient upward potential beyond an astonishing return of 86.71238765773928% due to the expansion of AI infrastructure. In the best-case scenario, I expect that during the quarterly earnings announcement, data center revenues will exceed market consensus and break through previous highs, leading to a rapid upward trend. Conversely, it is essential to also manage risks in preparation for the worst-case scenario. If geopolitical risks or global interest rate volatility cause a collapse of key resistance levels, it will be crucial to confirm immediate downside rigidity and implement a strategy to reduce some positions. In particular, volatility during overheating periods is an unavoidable rite of passage, so a mechanical response to secure profits by dividing the profit-taking intervals will be key to account defense. ### [Section 3: Comparison with Past Cases] Analyzing past similar success cases, the upward cycles of large tech stocks share a certain pattern. As noted in this data, the profit pattern recorded on **2026-03-18** with a return of **84.7%** is remarkably similar to the upward curve currently exhibited by NVDA. At that time, the golden cross of technical indicators and the accompanying increase in trading volume were the key drivers for maximizing returns. This historical success equation has also operated effectively in this investment. It has been reaffirmed that exceeding 80% in excess returns is only possible when past data and technical analysis are combined, rather than relying solely on luck. As proven by past similar success cases, leading stocks in the market only demonstrate their true value when held through fear. Through this investment review, I realized once again that the ability to read the structural factors and market psychology that generated those returns is more important than being fixated on the return figures. Successful investing is completed through the process of substituting past records with current strategies. I plan to maintain this data-driven analytical approach to solidify my investment principles that remain steadfast even in volatile markets. Today's lesson: Revisiting successful patterns from the past through data is the most reliable weapon to overcome future uncertainties.

[Section 1: Basis for Initial Judgment] At that time, NVDA was positioned on the major theme of strong AI infrastructure expansion in the market. On the chart, it was showing a solid bottom after breaking above key moving averages and transitioning into a strong support zone. In particular, the increase in trading volume accompanying the upward phase convinced me that it was a signal of institutional accumulation. I set a target return of 60% through a trend-following strategy, believing that as long as the technical indicators maintained an upward alignment, the trend would not be compromised. [Section 2: Future Scenario Predictions] Looking at future scenarios, if the current momentum is maintained, I believe there is potential for an additional surge that exceeds the target price. The best-case scenario is that the ongoing shortage of AI chips leads to an upgrade in operating profit margins. In this case, it would strongly break through the upper limit of the resistance zone and settle into a new fundamental-based trading range. Conversely, the worst-case scenario involves a valuation adjustment of tech stocks due to deteriorating macroeconomic indicators. In particular, if the short-term moving average, which was used as a support line, breaks with accompanying volume, immediate risk management will be necessary. My strategy is to secure profits through partial selling while setting strict stop-loss points to protect assets at the point where the trend reverses. I must adhere to the principle of only increasing positions when technical indicators and market sentiment align. [Section 3: Comparison with Past Cases] Past data serves as a powerful compass for current success. Among the data I analyzed, the case of NVDA was the most impressive. Specifically, I predicted a 60.0% return on 2026-03-20 at 14:33:11, and the actual achieved return was 84.7405612652327%, leading to a final judgment of SUCCESS. This aligns with a previous instance on 2026-03-18, where the same stock recorded an astonishing return of 84.7% following a similar pattern. The key to the success pattern lies in 'utilizing pullbacks in a bull market' and 'trusting sector-leading stocks.' Comparing past and present data, the pullback immediately after a breakout with strong trading volume was not merely a correction but a period of energy accumulation for the next rise. The chart movements on 2026-03-18 and 2026-03-20 exemplify how the market perceives specific stocks, serving as textbook data. What I realized through analyzing this data is that technical analysis is not about intuition but about increasing probabilities based on statistics. Even in situations with limited data, the successful patterns of tech stocks discovered within the vast learning data of AI remain valid. Particularly for stocks in industries undergoing significant upheaval, such as the AI semiconductor sector, I once again recognized that when technical indicators secure downside rigidity, market greed maximizes returns. I plan to use this experience as a stepping stone to capture more refined entry points in the next stock, continuing the trajectory of success. Today's lesson: Data does not lie, and only by conforming to the flow of the market can returns exceed expectations.

**[Section 1: Basis of Initial Judgment]** At that time, NVDA was maintaining a solid upward trend under the massive theme of AI infrastructure expansion. Technically, the major moving averages continued to be in a bullish arrangement, securing strong support, and it was impressive that the breakout of the upper range formed over several months was accompanied by trading volume, effectively digesting the supply levels. I was confident that supply chain advantages and high margin rates would lead to a valuation re-rating. In particular, observing the downward rigidity occurring near the 20-day moving average during each correction, I judged that an additional price level up was imminent. **[Section 2: Future Scenario Forecast]** Currently, NVDA's upward momentum exceeds market expectations. In the best-case scenario, as demand for AI data centers increases more steeply than anticipated, there is a need to raise the target return. If the current trend continues, considering the deviation from the 150-day moving average, it has entered a short-term overheating phase; however, if the strong buying momentum from institutions is maintained, I expect a powerful upward wave that breaks through the previous peak. Conversely, in the worst-case scenario, we cannot rule out the possibility of a collapse of major supply levels due to geopolitical risks or global interest rate volatility. In this case, I plan to use the point where the 20-day moving average is broken as a psychological stop-loss line and execute rebalancing with the cash secured through stop-loss measures. I will thoroughly control risk based on the supply-demand dynamics and whether the trend is broken. **[Section 3: Comparison and Analysis of Past Cases]** The success of this investment stemmed not from luck but from data-driven, sophisticated predictions. Looking back at past records, it is significant that the predicted return target of 60.0% at 2026-03-20 12:42:04 was surpassed, achieving an actual return of 84.7405612652327%. This aligns with the typical patterns observed during the growth phase of the semiconductor sector. On 2026-03-18, the market exhibited a clear trend of capital flowing into promising stocks despite macroeconomic uncertainties. The figure of 84.7% at that time is not just a number; it is an indicator of how strong the momentum is when the market is in a technical breakout phase. Examining the success patterns of similar sectors, leading stocks tend to undergo a sufficient digestion process after the initial rise before continuing into a second rally. NVDA also benefited from the strong inflow of supply and demand confirmed since 2026-03-18, which drove the 84.7% return despite short-term overheating concerns. This data serves as a valuable milestone for how to combine technical indicators and sector momentum when constructing future portfolios. Insights gained from past similar success cases, even in data-scarce environments, reaffirm the unchanging truth that leading stocks must possess both defensive capabilities in downturns and explosive potential in upturns. As a result, the return of 84.7405612652327% was the best outcome that emerged when thorough chart analysis was combined with the ability to read market themes. This case reinforced my belief that the harmony of data and intuition maximizes investment returns. Acknowledging that the forecast made on 2026-03-20 was conservative, I will pursue a strategy in future investments that combines bolder target setting with risk management to fully convert market fluctuations into profits. Today's lesson: Forecasts are merely reference points; if one trusts the strong supply-demand signals sent by the market, bold holding can yield greater rewards.