FAILED
2026-10-22 04:26:55
Predicted 1.2% → Actual -12.3%
The core of this positive catalyst is BNP Paribas raising its target price for AMD, citing strength in CPUs.
In the short-term overheated state of RSI 84.3, if the price rises toward the 20-day high point resistance line of $645.46, it will break out, and if the 20-day moving average and support line of $458.0 collapse, it will be stopped out.
CPU 강세에 대한 BNP 파리바의 목표주가 상향 조정 뉴스와 이평선 정배열 흐름을 바탕으로 매수를 고려해볼 수 있다.
RSI(14) at 84.3 indicates short-term overheating, with a moving average alignment, trading volume at 0.88 times the 20-day average, and a recent 7-day change of +3.1%.
BNP 파리바의 목표주가 상향 조정과 이평선 정배열 흐름을 근거로 진입했으나, 실제 결과는 -12.3%의 손실을 기록하며 FAILED 판정을 받았다. 진입 당시 RSI가 84.3으로 단기 과열 상태였고 20일 고점 저항선($645.46) 근접하여 신중한 접근이 필요했음에도 불구하고, 과열 국면의 조정 압력을 충분히 방어하지 못한 것이 패인이었다.
Through this trade, I learned that in overheated ranges above RSI 80, even with an upward signal for the target stock, one should refrain from chasing buys, and when approaching resistance levels, increased volatility must be more conservatively reflected. In the next trade, I will adopt the principle of delaying entry timing or responding with a phased approach when overheated indicators are present.
2026-10-12에 +1.9%의 반응을 보였으나, 2026-10-07에는 -3.9%, 2026-10-06에는 -0.5% 등 호재나 이벤트 전후로 하락하거나 반응이 제한적이었던 과거 히스토리가 있다.
FAILED
2026-10-15 01:16:46
Predicted 1.2% → Actual -12.1%
Mizuho has raised its price targets for AMD and Intel amid reports that agentic AI is driving CPU demand.
To conclude, I will take profit if the price reaches the resistance level around $645.46, and cut losses if it breaks below the support level of $480.33. As the current stock price is near or at the upper bound of the 20-day resistance line and the RSI stands at 82.5, indicating a short-term overheating zone, I will approach the stock cautiously using the support level ($480.33) as a benchmark and verify whether these conditions are met.
To conclude, entry should be considered based on favorable news regarding agentic AI and upward revisions to target prices, bearing in mind that the current stock price is located near or at the upper bound of the 20-day resistance line ($645.46), with the support line ($480.33) positioned below. Taking into account the technical position in the short-term overheated zone with an RSI of 82.5, a cautious buying approach based on the support line ($480.33) is deemed reasonable.
Based on the entry-level technical indicators, the RSI (14) stands at 82.5, indicating a short-term overbought zone, while the moving averages are in a bullish alignment (stacked in ascending order). Trading volume is at 0.60x the 20-day average, and the 7-day volatility (rate of change) recorded +0.4%.
To state the conclusion first, I attempted to buy based on positive news regarding agentic AI and reports of price target upgrades, but the trade failed with a -12.1% decline. At the time of entry, the RSI was at 82.5, indicating a short-term overheating zone, and the stock price was positioned near the upper boundary of the 20-day resistance line ($645.46). Although I noted that a cautious approach was needed, the stock price plummeted rapidly toward the support line ($480.33). In hindsight, with trading volume relatively light at 0.60x the 20-day average, the position failed to sufficiently defend against profit-taking or downward pressure driven by the short-term overheating.
To put it simply, going forward, even if positive news emerges in the overbought zone where the RSI exceeds 80, I will refrain from chasing the rally and instead patiently wait for sufficient price correction. In particular, keeping in mind that upward phases lacking volume can be vulnerable to short-term volatility, I will apply risk management criteria more strictly and establish them as actionable trading rules.
Looking at the prior history of this stock, it showed downward reactions of -0.5% on 2026-10-06 and -3.9% on 2026-10-07. Viewed objectively, excluding the intentions or motives of specific market participants, these past patterns can be referenced as individual characteristics showing that short-term dips or downward reactions may occur before or after positive news or events.
OVERHIT
2026-09-09 11:32:36
Predicted 3.2% → Actual 10.7%
Raymond James upgraded AMD on expectations for AI agent technology growth.
If I had bought on 2026-09-09, I would take profit when the price reaches $530.13 and stop loss if it drops to $424.03. These two prices are the target price and stop-loss price calculated by REPORTING, and no separate technical basis was provided.
On 2026-09-09, the closing price of $521.1 was near the recent high of $526.79, and Raymond James' upgrade news was fostering positive market sentiment. As the price was showing an upward trend and the RSI was at 32.8 in oversold territory, leaving room for a rebound, a buy was considered.
RSI(14)=32.8 (oversold), moving averages in bearish alignment (downtrend), trading volume=0.62x of the 20-day average (low), 7-day change rate=-5.4% (decline) – Overall bearish signals are mixed, but the low RSI suggests potential for a rebound.
The actual return of 10.7% significantly exceeded the predicted return of 3.2%, resulting in a final verdict of OVERHIT. While the upgrade news and the price's proximity to recent highs were accurately captured, the target return was set too low, causing a larger-than-expected upside to be missed.
Moving forward, when positive catalysts emerge, I will set target prices more broadly and bring forward entry timing by considering the possibility of an oversold rebound in low RSI zones. In addition, even in low-volume conditions, I will adjust position sizes by assessing the impact of news, and maintain the strategy given that general SEC disclosures do not significantly affect risk.
The +10.7% gain on 2026‑08‑31 shows that AMD can surge significantly after positive news. This suggests that, similar to the current Raymond James upgrade, favorable news has the potential to drive the price higher.
FAILED
2026-08-11 17:41:39
Predicted 5.0% → Actual -10.1%
AMD aims to more than double its data center segment revenue by 2027, projecting that third-quarter revenue in 2026 will reach approximately $13 billion.
Currently, the stock is positioned in a range rebounding towards the resistance level above the support level. Therefore, if the stock price rises and reaches the profit-taking target of $574.2, I will take profits. Conversely, if it falls and breaches the support level of $424.03, I will cut losses.
The current stock price is positioned in a range where it is rebounding towards the resistance level above the support line, and after a recent 7-day volatility of -10.2%, one may consider entering with the expectation of a momentum recovery.
RSI(14) 39.6, moving averages in a positive alignment, trading volume at 0.88 times the 20-day average, recent 7-day volatility -10.2%
At the entry point, it was assessed as a rebound phase towards the resistance line above the support line, setting a profit target of $574.2 and a stop-loss at $424.03. However, the actual result recorded a -10.1% return, resulting in a FAILED judgment. At the time of entry, the RSI(14) was at 39.6, indicating an oversold condition, and the recent 7-day volatility was -10.2%, reflecting a short-term adjustment. However, the trend of the number of theme news articles decreased from 358 in the previous 7 days to 237 in the recent 7 days, suggesting that this was insufficient to support upward pressure.
In this trade, I entered based on the expectation of a rebound near the support level and the positive news regarding data center revenue growth, but it failed as it reached the stop-loss level. In future trades, rather than relying solely on technical rebound periods and positive news, I will more rigorously verify whether the overall news trends of the theme (whether there is a trend decrease) and trading volume (0.88 times the 20-day average, etc.) are accompanying factors, and I will apply risk management criteria more conservatively.
In the historical data of the same stock, a pattern has been observed where similar events resulted in price reactions of +5.2% on 2026-08-05, +5.2% on 2026-08-06, +5.1% on 2026-08-11, and +8.4% on 2026-08-12, as well as +6.5% on 2026-08-12.
OVERHIT
2026-07-06 14:01:01
Predicted 4.2% → Actual 333.8%
The surge in AMD's stock price is believed to be due to news of AI-related collaborations and technological advancements.
If positive news related to AI continues, the upward trend may persist; however, there is a risk of a sharp decline if there are disappointing earnings or negative news in the market. Source: https://www.investing.com/news/stock-market-news/why-is-advanced-micro-devices-stock-surging-today-93CH-4776826
As of the closing price of 552.05 on July 6, which showed a significant increase compared to the previous day, the likelihood of continued positive developments related to AI appeared high, and the candlestick pattern suggested a bullish trend, which may have prompted consideration for entry. In particular, the sharp rise from June 30 to July 6 (580.91 → 552.05) could have acted as a buy signal.
The predicted return of 4.2% was based solely on candle flow and news, failing to anticipate the actual significant rise of 333.8%. In particular, after the closing price of 552.05 on July 6, a rapid increase followed, which was underestimated, along with the sustainability of AI-related positive news and market reactions. On the other hand, while the bullish signals from the candle patterns were correctly identified, the scale of the increase was not predicted, which is regrettable.
When similar positive news arises, it is necessary to set bold target returns not only based on candle patterns but also by referencing the scale of past similar cases (such as a 333.8% increase). Additionally, to prepare for increased volatility following a sharp rise, strict stop-loss criteria should be established, and the sustainability of AI-related news must be closely monitored. For instance, we plan to strengthen our strategy to consider entry when specific technological positives emerge, such as the announcement of the AI campus collaboration on July 9.