Semiconductor & Technology Specialist, Ingenuity

William Keating

Semiconductor & Technology Specialist

Ingenuity

Our focus is exclusively on in-depth research & consulting in the broader semiconductor industry. We focus on the key players, namely Intel, Micron, Qualcomm, Apple, Samsung, NVIDIA, AMD, TSMC & Global Foundries - as well as some of the lesser known, but nonetheless critical, companies such as ASML (for EUV), Mellanox, Cavium, Xilinx etc. We specialise in their products, roadmaps, process technologies, competitive advantages & threats etc. We also help our clients understand the implications of new and emerging technologies, e.g. 3D X-Point, 3D NAND, Carbon Nanotubes, Autonomous Driving, Graphene, Silicon Photonics, Wafer-Level Optics, Artificial Intelligence, FPGA, GPU, ASIC etc. 

Semiconductor Analysis & Research

Thematic (Sector/Industry)

<p>Semiconductor wafer fab equipment sales are on track to grow by over 20% sequentially in 2020 with the broader foundry segment growing by around 20% and TSMC more than 30%. Yet, silicon wafer area shipments will struggle to increase by more than 2% and revenues are set to remain flat to slightly down. How do we explain the seeming discrepancy between these growth numbers? Here's our thoughts on the matter. </p>

Semiconductor wafer fab equipment sales are on track to grow by over 20% sequentially in 2020 with the broader foundry segment growing by around 20% and TSMC more than 30%. Yet, silicon wafer area shipments will struggle to increase by more than 2% and revenues are set to remain flat to slightly down. How do we explain the seeming discrepancy between these growth numbers? Here's our thoughts on the matter. 

Silicon Wafers. Why The Tepid Growth Despite Strength in WFE, Foundry & Logic?

President

Thomas Coughlin

Coughlin Associates

Equity Bottom-Up

<p>Recent Kioxia developments, and in particular, the development of its Ethernet native SSDs for a EBOF and the KumoScale block, file and object storage container storage are innovations that could drive additional value for the company and help in getting a better price in a future IPO, when the overall NAND flash industry is in a more profitable part of its cycle.</p>

Recent Kioxia developments, and in particular, the development of its Ethernet native SSDs for a EBOF and the KumoScale block, file and object storage container storage are innovations that could drive additional value for the company and help in getting a better price in a future IPO, when the overall NAND flash industry is in a more profitable part of its cycle.

Kioxia Announcements Enhance Company Value

<p><a href="https://www.smartkarma.com/entities/micron-technology-inc" target="_blank" data-smartkarma-citation="entities:13382:1" rel="noopener">Micron</a> last week made the surprise announcement that the company had begun volume shipments of the world’s first 176-layer 3D NAND flash memory chips. Separately, the company this week made some very interesting and frank disclosures at the Sanford C Bernstein Operational Decisions Broker Conference. Here's our thoughts on both of these recent developments. </p>

Micron last week made the surprise announcement that the company had begun volume shipments of the world’s first 176-layer 3D NAND flash memory chips. Separately, the company this week made some very interesting and frank disclosures at the Sanford C Bernstein Operational Decisions Broker Conference. Here's our thoughts on both of these recent developments. 

Micron. Leapfrogging Competitors With A Surprise 176-Layer NAND Flash Chip Announcement.

Korea / Special Sits, Pairs, Index Rebalancing, Clepsydra Capital

Sanghyun Park

Korea / Special Sits, Pairs, Index Rebalancing

Event-Driven

<p>Samsung ordinary made a runaway move last Friday and yesterday. The price soared by 8.69%.</p><p>But 1P didn't quite catch up, resulting in a -3σ move. The duo is now at -0.55σ on a 20D MA.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"% of sigma"}'>% of sigma</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Today"}'>Today</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.5499853563680831}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">-55.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-1"}'>T-1</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.6927528044703176}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">69.28%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-2"}'>T-2</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.563178938243168}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">256.32%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-3"}'>T-3</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.5805710317954222}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">258.06%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-4"}'>T-4</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.8262933260411462}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">282.63%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-5"}'>T-5</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.920387008236654}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">292.04%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><section class="figure"><p>The 1P discount hit the historic low at 6.07% last Thursday. Now, it sits at 11.31%.</p>
<figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/172/170/original/chart.png?1605567861" class="editor-image img-responsive" data-smartkarma-image-id="172170"></figure></section><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Pref discount"}'>Pref discount</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Today"}'>Today</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.11312217194570136}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=RP!R[445]C[5]">11.31%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D mean"}'>120D mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.12598859994735367}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=average(RP!R396C7:R494C7)">12.60%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D median"}'>120D median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.12949640287769784}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MEDIAN(RP!R396C7:R494C7)">12.95%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D high"}'>120D high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.1552901023890785}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MAX(RP!R396C7:R494C7)">15.53%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D low"}'>120D low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.060655737704918035}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MIN(RP!R396C7:R494C7)">6.07%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y mean"}'>1Y mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.14435834982293952}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=average(RP!R248C7:R494C7)">14.44%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y median"}'>1Y median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.14299610894941633}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MEDIAN(RP!R248C7:R494C7)">14.30%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y high"}'>1Y high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.197196261682243}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MAX(RP!R248C7:R494C7)">19.72%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y low"}'>1Y low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.060655737704918035}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MIN(RP!R248C7:R494C7)">6.07%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y mean"}'>2Y mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.16432294665613392}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=average(RP!R2C7:R494C7)">16.43%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y median"}'>2Y median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.1720183486238532}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MEDIAN(RP!R2C7:R494C7)">17.20%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y high"}'>2Y high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.21040723981900453}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MAX(RP!R2C7:R494C7)">21.04%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y low"}'>2Y low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.060655737704918035}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MIN(RP!R2C7:R494C7)">6.07%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><p>Still, 1P is outperforming the ordinary share by nearly 3% in a 120D horizon.</p><table class="table table-striped">
<colgroup>
<col width="200">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"RP ratio"}'>RP ratio</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D today"}'>120D today</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.0281833100922997}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=RP!R[50]C[14]">1.02818</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"-"}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>-</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D mean"}'>120D mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.0121053942624505}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=AVERAGE(RP!R2C16:R81C16)">1.01211</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.015885614206774992}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R31C[-1]-R[0]C[-1])/R[0]C[-1]">1.59%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D median"}'>120D median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.007786798540668}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(RP!R2C16:R81C16)">1.00779</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.0202389151963162}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R31C[-1]-R[0]C[-1])/R[0]C[-1]">2.02%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D high"}'>120D high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.089009176203732}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(RP!R2C16:R81C16)">1.08901</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.055854319174306895}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R31C[-1]-R[0]C[-1])/R[0]C[-1]">-5.59%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D low"}'>120D low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9792967995363515}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(RP!R2C16:R81C16)">0.97930</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.04992001462589637}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R31C[-1]-R[0]C[-1])/R[0]C[-1]">4.99%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y today"}'>1Y today</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.08045027159399}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=RP!R[193]C[9]">1.08045</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"-"}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>-</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y mean"}'>1Y mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.0465088281511457}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=AVERAGE(RP!R2C11:R229C11)">1.04651</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.03243302161416868}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R36C[-1]-R[0]C[-1])/R[0]C[-1]">3.24%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y median"}'>1Y median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.0457601535399466}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(RP!R2C11:R229C11)">1.04576</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.0331721551415168}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R36C[-1]-R[0]C[-1])/R[0]C[-1]">3.32%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y high"}'>1Y high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.1443681770053673}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(RP!R2C11:R229C11)">1.14437</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.055854319174306624}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R36C[-1]-R[0]C[-1])/R[0]C[-1]">-5.59%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y low"}'>1Y low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9822243875278397}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(RP!R2C11:R229C11)">0.98222</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.10000350766424677}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R36C[-1]-R[0]C[-1])/R[0]C[-1]">10.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y today"}'>2Y today</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.0720501218238787}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=RP!R[453]C[2]">1.07205</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"-"}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>-</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y mean"}'>2Y mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.0101590754706078}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=AVERAGE(RP!R2C4:R494C4)">1.01016</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.06126861388087557}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R41C[-1]-R[0]C[-1])/R[0]C[-1]">6.13%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y median"}'>2Y median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.000856941223914}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(RP!R2C4:R494C4)">1.00086</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.07113222446447229}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R41C[-1]-R[0]C[-1])/R[0]C[-1]">7.11%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y high"}'>2Y high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.1354710862907595}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(RP!R2C4:R494C4)">1.13547</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.05585431917430671}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R41C[-1]-R[0]C[-1])/R[0]C[-1]">-5.59%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y low"}'>2Y low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.954452787031973}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(RP!R2C4:R494C4)">0.95445</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.12320916905444201}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R41C[-1]-R[0]C[-1])/R[0]C[-1]">12.32%</td>
</tr>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>

Samsung ordinary made a runaway move last Friday and yesterday. The price soared by 8.69%.But 1P didn't quite catch up, resulting in a -3σ move. The duo is now at -0.55σ on a 20D MA.





% of sigma

Today
-55.00%


T-1
69.28%


T-2
256.32%


T-3
258.06%


T-4
282.63%


T-5
292.04%

Source: KRX

The 1P discount hit the historic low at 6.07% last Thursday. Now, it sits at 11.31%.






Pref discount

Today
11.31%


120D mean
12.60%


120D median
12.95%


120D high
15.53%


120D low
6.07%


1Y mean
14.44%


1Y median
14.30%


1Y high
19.72%


1Y low
6.07%


2Y mean
16.43%


2Y median
17.20%


2Y high
21.04%


2Y low
6.07%

Source: KRX

Still, 1P is outperforming the ordinary share by nearly 3% in a 120D horizon.






RP ratio

120D today
1.02818
-


120D mean
1.01211
1.59%


120D median
1.00779
2.02%


120D high
1.08901
-5.59%


120D low
0.97930
4.99%


1Y today
1.08045
-


1Y mean
1.04651
3.24%


1Y median
1.04576
3.32%


1Y high
1.14437
-5.59%


1Y low
0.98222
10.00%


2Y today
1.07205
-


2Y mean
1.01016
6.13%


2Y median
1.00086
7.11%


2Y high
1.13547
-5.59%


2Y low
0.95445
12.32%

Source: KRX



Samsung C/1P Price Action: Currency Factor Vs. Tax-Triggering Shareholder Return

Chart based progressive global trading strategies, Chart Partners

Thomas Schroeder

Chart based progressive global trading strategies

Chart Partners

Chart Partners objective is to discover medium-term cycle turns and profit opportunities before they unfold, within structural trends while preserving capital with clear degrees of risk. We have real return ideas. 

Markets are dynamic and trading systems must reflect this. It is crucial to determine underlying correlations and lead-lag relationships within global markets and the impact on linked instruments. Our weekly Chartonics product gives you short-term trading strategies that can be applied within the medium and longer term macro trends that are mapped out in our strategy updates. 

Our methodology fuses global market variables and isolates drivers in trends. We specialize in FX, index trade in NY and Asia with a focus on Asian stocks. 

Technical Analysis

<p><a href="https://www.smartkarma.com/entities/samsung-electronics-co-ltd" target="_blank" data-smartkarma-citation="entities:191:1" rel="noopener">Samsung Electronics (005930 KS)</a> has broken above 61k resistance. Our recent insight touted shorting as an underperform pair with long Kospi with an absolute stop above 60k. The relative stance continues to struggle as does MACD new price high non confirmations. We hold a bullish (buy dips) stance for the Kopsi.</p><p>SEC breakout places a bull stance in absolute terms and will benefit from rotation out of China tech.</p><p>SEC key pivot lies at 61k and if we slip back below this level fresh buy support lies at 58k. Bull projections come in at 67,100 and 68,900. 61k support must hold to provide fuel for an immediate rise to noted projections.</p>

Samsung Electronics (005930 KS) has broken above 61k resistance. Our recent insight touted shorting as an underperform pair with long Kospi with an absolute stop above 60k. The relative stance continues to struggle as does MACD new price high non confirmations. We hold a bullish (buy dips) stance for the Kopsi.SEC breakout places a bull stance in absolute terms and will benefit from rotation out of China tech.SEC key pivot lies at 61k and if we slip back below this level fresh buy support lies at 58k. Bull projections come in at 67,100 and 68,900. 61k support must hold to provide fuel for an immediate rise to noted projections.

South Korea

Samsung Electronics Co., Ltd. manufactures a wide range of consumer and industrial electronic equipment and products such as semiconductors, personal computers, peripherals, monitors, televisions, and home appliances including air conditioners and microwave ovens. The Company also produces Internet access network systems and telecommunications equipment including mobile phones.

Price Gauge
52-week Range	0.00 - 0.00
Market Cap (USDm)	0.00
P/E	0.00
Dividend (Yield)	0.00

Samsung Electronics (SMSN LI)

Silicon Wafers. Why The Tepid Growth Despite Strength in WFE, Foundry & Logic?

With the WFE and foundry segments set for >20% growth in 2020, why are silicon wafer area shipments growing by only 2.4%? Here's what we think the...

William Keating

Kioxia Announcements Enhance Company Value

Kioxia announcements, particularly ethernet native SSDs and KumoScale block, file and object container storage support enhance future value.

Thomas Coughlin

Micron. Leapfrogging Competitors With A Surprise 176-Layer NAND Flash Chip Announcement.

Micron made a surprise announcement last week that they were in volume production of an industry-leading, 176 Layer NAND Flash product. What does...

William Keating

Samsung C/1P Price Action: Currency Factor Vs. Tax-Triggering Shareholder Return

This insight examines Samsung ordinary and 1P's two-days price actions based on the currency factor and the tax situation.

Sanghyun Park

SEC Bull Shift and Breakout

Samsung Electronics has broken above 61k resistance. The relative stance continues to struggle. SEC breakout places a bull stance in absolute terms...

Thomas Schroeder

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)