CRM
Salesforce, Inc.
stock NYSE

I'm in a scale up in an app space downstream from databases. We are seeing a decent amount of demand for our AI offering, but that's because we are able to readily market a direct line between our offering and our customers making more money/saving costs (usually by avoiding hiring moreso than reducing headcount).
The value in adding LLM processing to a database is usually way less tangible, Salesforce and other players in the ERP/CRM space have done a lousy job with marketing the monetary benefits (if any) to buying any such add-on.

So when CRM eats shit, do we think it'll drag NOW too?

Recently, I've been using a quantitative platform that allows you to avoid all the building quant infrastructure, and it generates reports of the strategies and the best trials you get based on probabilistic chart ratio, deflated chart ratio, et cetera. Can you please review my strategy and tell me how would you qualify it, and what would you change?
Also, what more information does an investor need to really believe in investing in this strategy?
_Investment report_
# positive_skew_select — Trial 118
**US Equity** · **Simulated**
- **Organization:** Fintela
- **Report date:** Aug 21, 2026
- **Data through:** Aug 13, 2026
- **Period:** Aug 2021 – Aug 2026
- **Reference:** Trial 118 · positive_skew_select · spy500 (2)
## About this report
> **Simulated** — Performance is simulated. The out-of-sample period (marked on the chart) shows results on market data the strategy was never trained on — the closest proxy to live performance. Past performance is not indicative of future results.
## Summary
_Grade B · 70/100_
Grade B · exceptional risk-adjusted returns · well-contained drawdowns.
| Metric | Value |
| --- | ---: |
| Annualized | +22.8% |
| Sharpe | 3.57 |
| Max drawdown | 7.9% |
| Volatility | 19.8% |
| Overfitting (PBO) | 52.0% |
Performance. Over Aug 2021 – Aug 2026, the portfolio returned +179.3% in total, compounding at +22.8% per year. That outpaces its benchmark (S&P 500 (SPY) +13.2% per year, +85.8% total). Its best month gained +14.8% (Nov 2023) and its worst lost -9.2% (Jan 2022). On out-of-sample data the strategy never trained on, it returned +40.5% at a Sharpe of 3.57 — the closest proxy to live performance.
Risk. On a risk-adjusted basis the portfolio delivers exceptional risk-adjusted returns (Sharpe 3.57). Its deepest peak-to-trough decline was 7.9% — well-contained drawdowns. Annualized volatility of 19.8% reflects moderate volatility. A beta of 0.91 to S&P 500 (SPY) makes it roughly as sensitive as the broad market. Robustness screening finds an elevated overfitting risk (backtest-overfitting probability 52.0%).
Outlook. The book currently holds 5 positions, led by GRMN (20.0%), PLTR (20.0%), PYPL (20.0%). Its top three holdings make up 60.0% of gross exposure, leaving it highly concentrated. Weighing return, risk, drawdown and robustness together, this portfolio earns an overall grade of B (70/100), a profile that holds up well across dimensions. These figures are simulated; past performance is not indicative of future results.
## Performance
_Portfolio vs benchmark, both starting at $100,000_
$279,322 — what $100,000 invested at the start would be worth today. The same amount in S&P 500 (SPY): $185,839 (+86%).
## Out-of-sample track record
_Since Feb 2026_
| Metric | Value |
| --- | ---: |
| Return | +40.5% |
| Sharpe | 3.57 |
| Max drawdown | 7.9% |
_Performance on data the strategy was never trained on — the closest available proxy to live results._
## Headline figures
| Metric | Value | Context |
| --- | ---: | --- |
| Total return | 179.3% | S&P 500 (SPY) +85.8% |
| Annualized (CAGR) | 22.8% | S&P 500 (SPY) +13.2% |
| Max drawdown | 7.9% | worst peak-to-trough decline |
| Sharpe ratio | 3.57 | return per unit of risk |
## Versus the market
_Measured against S&P 500 (SPY)_
| Metric | Value |
| --- | ---: |
| Alpha | 0.093 |
| Beta | 0.914 |
| Up capture | 93.6% |
| Down capture | 83.4% |
| Correlation | 0.745 |
## Composition
_As of Aug 13, 2026_
| Symbol | Side | Weight | Change |
| --- | --- | ---: | ---: |
| GRMN | LONG | 20.0% | +0.00 pp |
| PLTR | LONG | 20.0% | +0.00 pp |
| PYPL | LONG | 20.0% | +0.00 pp |
| TECH | LONG | 20.0% | +0.00 pp |
| ZBRA | LONG | 20.0% | +0.00 pp |
_Sector allocation_
| Bucket | Gross | Net |
| --- | ---: | ---: |
| Technology | 60.0% | +60.0% |
| Financial Services | 20.0% | +20.0% |
| Healthcare | 20.0% | +20.0% |
_Asset type_
| Bucket | Gross | Net |
| --- | ---: | ---: |
| Common Stock | 100.0% | +100.0% |
## Traded assets — full history
_230 assets · 583 trades_
| Symbol | trades | Contribution |
| --- | ---: | ---: |
| SMCI | 4 | +8.3% |
| DDOG | 7 | +6.9% |
| META | 7 | +6.7% |
| CHRW | 3 | +5.7% |
| ULTA | 8 | +5.6% |
| DVA | 4 | +4.7% |
| MSFT | 2 | +4.7% |
| ROST | 8 | +4.7% |
| QCOM | 2 | +4.4% |
| IT | 6 | +4.2% |
| SATS | 6 | +4.0% |
| ANET | 1 | +3.6% |
| CIEN | 9 | +3.1% |
| SNPS | 3 | +3.0% |
| PLTR | 3 | +3.0% |
| DELL | 5 | +2.8% |
| DLTR | 5 | +2.7% |
| ERIE | 2 | +2.7% |
| AOS | 3 | +2.7% |
| LYV | 5 | +2.6% |
| VRT | 2 | +2.6% |
| VEEV | 7 | +2.5% |
| PYPL | 2 | +2.4% |
| NVDA | 2 | +2.4% |
| AXON | 8 | +2.4% |
| CVNA | 2 | +2.4% |
| OXY | 4 | +2.2% |
| VRTX | 4 | +2.2% |
| PFE | 1 | +2.2% |
| TXN | 2 | +2.1% |
| KEYS | 1 | +2.1% |
| DOC | 1 | +2.0% |
| WDAY | 6 | +2.0% |
| FTNT | 1 | +2.0% |
| MKC | 1 | +2.0% |
| TPL | 1 | +1.9% |
| INTC | 1 | +1.9% |
| BIIB | 1 | +1.8% |
| URI | 1 | +1.8% |
| WSM | 5 | +1.8% |
| DE | 1 | +1.7% |
| CRWD | 1 | +1.7% |
| SNA | 1 | +1.7% |
| HPQ | 2 | +1.6% |
| LULU | 7 | +1.6% |
| PWR | 2 | +1.6% |
| GILD | 1 | +1.6% |
| GM | 4 | +1.6% |
| LMT | 3 | +1.6% |
| FIX | 2 | +1.5% |
| TGT | 6 | +1.5% |
| GDDY | 3 | +1.5% |
| LUV | 1 | +1.5% |
| MNST | 2 | +1.5% |
| GRMN | 8 | +1.4% |
| FAST | 1 | +1.4% |
| SJM | 2 | +1.4% |
| STT | 2 | +1.3% |
| SBUX | 2 | +1.3% |
| VZ | 3 | +1.3% |
| TTWO | 4 | +1.3% |
| PANW | 3 | +1.3% |
| TPR | 5 | +1.2% |
| JBL | 2 | +1.2% |
| MCHP | 1 | +1.2% |
| CTVA | 3 | +1.1% |
| HUM | 2 | +1.1% |
| CI | 1 | +1.1% |
| DXCM | 7 | +1.1% |
| REGN | 1 | +1.1% |
| MMM | 1 | +1.1% |
| PKG | 3 | +1.0% |
| EQIX | 1 | +1.0% |
| APD | 2 | +1.0% |
| NOW | 2 | +1.0% |
| IQV | 3 | +1.0% |
| DGX | 2 | +0.9% |
| EA | 2 | +0.9% |
| TJX | 1 | +0.8% |
| HCA | 1 | +0.8% |
| WBD | 3 | +0.8% |
| EBAY | 2 | +0.8% |
| ABNB | 1 | +0.8% |
| BK | 2 | +0.8% |
| RMD | 3 | +0.7% |
| RL | 1 | +0.7% |
| VST | 4 | +0.7% |
| HSIC | 1 | +0.7% |
| CSGP | 1 | +0.7% |
| LVS | 2 | +0.7% |
| NKE | 2 | +0.7% |
| SBAC | 3 | +0.6% |
| HWM | 1 | +0.6% |
| ROL | 6 | +0.6% |
| NRG | 1 | +0.6% |
| GWW | 3 | +0.6% |
| WAT | 3 | +0.6% |
| KMB | 1 | +0.5% |
| TXT | 3 | +0.5% |
| BAC | 1 | +0.5% |
| SHW | 1 | +0.5% |
| WFC | 1 | +0.5% |
| SYF | 2 | +0.5% |
| NOC | 4 | +0.5% |
| JNJ | 1 | +0.5% |
| CMG | 5 | +0.5% |
| MRK | 3 | +0.5% |
| GEN | 3 | +0.4% |
| KR | 3 | +0.4% |
| T | 2 | +0.4% |
| CPRT | 1 | +0.4% |
| ZBRA | 1 | +0.4% |
| VTRS | 1 | +0.4% |
| LEN | 1 | +0.4% |
| TEL | 1 | +0.4% |
| XEL | 1 | +0.3% |
| TSLA | 1 | +0.3% |
| AMCR | 1 | +0.3% |
| TMUS | 2 | +0.3% |
| UHS | 1 | +0.3% |
| ALLE | 1 | +0.3% |
| VMC | 1 | +0.3% |
| BLDR | 1 | +0.3% |
| STE | 3 | +0.3% |
| GD | 2 | +0.3% |
| CTAS | 1 | +0.2% |
| INTU | 3 | +0.2% |
| CINF | 1 | +0.2% |
| PGR | 2 | +0.2% |
| CLX | 1 | +0.2% |
| ECL | 1 | +0.2% |
| AON | 1 | +0.1% |
| A | 1 | +0.1% |
| CVS | 3 | +0.1% |
| EME | 1 | +0.1% |
| DRI | 2 | +0.1% |
| CMCSA | 1 | +0.1% |
| CRM | 3 | +0.1% |
| FOX | 1 | +0.1% |
| INCY | 1 | +0.1% |
| BG | 2 | +0.1% |
| TECH | 2 | -0.0% |
| EMR | 2 | -0.0% |
| WAB | 2 | -0.0% |
| GPN | 2 | -0.0% |
| PM | 3 | -0.0% |
| AVY | 1 | -0.1% |
| STZ | 1 | -0.1% |
| TRV | 1 | -0.1% |
| GLW | 1 | -0.1% |
| CAH | 1 | -0.1% |
| FFIV | 2 | -0.1% |
| EXPD | 1 | -0.1% |
| NFLX | 3 | -0.1% |
| IP | 1 | -0.1% |
| JBHT | 4 | -0.1% |
| WTW | 4 | -0.1% |
| YUM | 1 | -0.1% |
| SCHW | 1 | -0.1% |
| RTX | 1 | -0.2% |
| TKO | 2 | -0.2% |
| CCL | 2 | -0.2% |
| HSY | 1 | -0.2% |
| ADBE | 2 | -0.2% |
| TRMB | 2 | -0.2% |
| PHM | 2 | -0.2% |
| WM | 2 | -0.3% |
| GOOGL | 1 | -0.3% |
| FOXA | 1 | -0.3% |
| HST | 1 | -0.3% |
| DLR | 1 | -0.3% |
| IVZ | 2 | -0.3% |
| PCAR | 2 | -0.4% |
| COHR | 1 | -0.4% |
| ISRG | 5 | -0.4% |
| XYL | 2 | -0.4% |
| EXR | 1 | -0.4% |
| SYY | 5 | -0.4% |
| DIS | 1 | -0.4% |
| CFG | 1 | -0.4% |
| DECK | 4 | -0.5% |
| EQT | 1 | -0.5% |
| BA | 1 | -0.6% |
| FSLR | 3 | -0.6% |
| HPE | 1 | -0.6% |
| AKAM | 2 | -0.7% |
| NXPI | 3 | -0.8% |
| FICO | 3 | -0.8% |
| BR | 1 | -0.8% |
| WST | 2 | -0.9% |
| DPZ | 6 | -0.9% |
| TAP | 1 | -0.9% |
| NTAP | 6 | -0.9% |
| BALL | 6 | -1.0% |
| AMGN | 1 | -1.0% |
| CAT | 1 | -1.1% |
| DG | 2 | -1.2% |
| MCK | 3 | -1.2% |
| COO | 2 | -1.3% |
| HAS | 7 | -1.3% |
| FDX | 2 | -1.3% |
| UPS | 1 | -1.4% |
| HBAN | 1 | -1.5% |
| UNP | 5 | -1.5% |
| KEY | 1 | -1.6% |
| CASY | 5 | -1.7% |
| TSN | 4 | -1.7% |
| PTC | 1 | -1.7% |
| MTD | 3 | -1.8% |
| LHX | 1 | -1.8% |
| V | 3 | -1.9% |
| BBY | 3 | -1.9% |
| GPC | 2 | -1.9% |
| UBER | 2 | -2.0% |
| LLY | 6 | -2.1% |
| HII | 1 | -2.2% |
| PODD | 6 | -2.3% |
| PSKY | 6 | -2.4% |
| AVGO | 1 | -2.6% |
| C | 3 | -2.6% |
| IBM | 4 | -2.7% |
| IDXX | 4 | -3.0% |
| ALGN | 1 | -3.3% |
| OMC | 2 | -3.6% |
| ROK | 5 | -4.4% |
| WDC | 3 | -4.7% |
| TTD | 3 | -5.5% |
| EXPE | 4 | -5.6% |
| MGM | 5 | -6.1% |
| ORCL | 8 | -7.5% |
_Return contribution is each asset’s summed realized P&L as a share of capital. Total realized from closed trades: +96.0%_
## Year by year
_Strategy vs S&P 500 (SPY)_
| Year | Strategy | S&P 500 (SPY) | Excess |
| --- | ---: | ---: | ---: |
| 2021 | +21.9% | +28.7% | -6.9% |
| 2022 | -17.7% | -18.2% | +0.5% |
| 2023 | +40.3% | +26.2% | +14.2% |
| 2024 | +21.0% | +24.9% | -3.9% |
| 2025 | +14.0% | +17.7% | -3.7% |
| 2026 | +43.9% | +12.9% | +31.0% |
## Robustness
Robustness screen: Overfit risk
---
_Hypothetical / simulated performance. These results are derived from a historical simulation and do not represent trading in a live account. Simulated results have inherent limitations: they benefit from hindsight and do not reflect real order execution, slippage, liquidity, or financing costs. Returns are shown gross of fees, which would reduce them. Past performance — actual or simulated — is not indicative of future results. For informational purposes only; not an offer or solicitation to buy any security._

And CRM OKTA

The instantly slow UIUX is what kills it for me. I don’t think the underlying functionality provided by SF CRM is THAT bad as other described, but it’s just too slow

Can we start sorting these via market cap again? Like wtf is A and P? I'm American(t) and don't want to have my eyes scroll down more to see important names like CRWD or CRM

I've been investing pretty successfully over the past 6 years (I'm currently 39). My strategy is to target stocks trading below their historical valuation metrics, typically dividend payers, hold until they revert to better valuations, sell or reduce position size, and repeat. I recently analyzed my performance (which spanned three different brokerages) with the help of Claude, and had annualized XIRR of +22% vs. +17% for the S&P. Over this time, I've definitely had a few misses, but way more hits.
For example, today I sold a sizeable position in MRK @ $153, which I purchased \~1.5 years ago for \~$80. A month or so ago, I sold TGT in the $130s after purchasing in the $80s a year prior.
Earlier this year, I purchased T, NOW, MSFT, CRM, and BBY, which are all up 20%+ since.
More recently, I purchased MCD, LOW, and FIS.
I'd like to continue this strategy, but as my portofolio size and number of positions grows (and also the market does), I am finding it harder and harder to find new stocks. I typically focus on US stocks and use ETFs for international.
Anyone else focus on this strategy? Any recommendations?

No new trades today.
**Active trade chains (including rolls):**
GDX is my biggest pain at the moment with this massive run up. Haven't realized any losses yet, but looking like I will once I need to roll to next Friday. IF (big-if) *somehow* GDX drops between now and next Friday back into my range (85.22 to 94.78), I'll be looking to roll earlier than next Friday, but not looking like that will happen. Either way, it will be a roll, to new 16 delta strikes, at the next monthly. IV is still elevated.
CRM is still not needing any attention right now.
**Closed trades:**
**STC 1 XYZ 03/19/27 Call 60.00 @ 25.94**
**BTC 1 XYZ 09/18/26 Call 85.00 @ 2.25**
Closed this XYZ diagonal for an $82 profit in 4 days.
Results for this week:
Active trade chains:
\- GDX: $201
\- CRM: -392 (unchanged from last week)
Fully closed trades: $735
\---
My account is still neutral at 30 beta weighted deltas. I've done well for the week. Hit all time highs Monday and Tuesday, and my account is still hovering around all time highs, despite this GDX position that's gone against me.

Lederjacke wird über unser aller Schicksal entscheiden. $CRM und $WDAY über das des Ritters.

[CRM](https://www.onvista.de/aktien/SALESFORCE-INC-Aktie-US79466L3024) - Salesforce 📃@178,36€(+1,64% 🤑)
[WDAY](https://www.onvista.de/aktien/WORKDAY-INC-Aktie-US98138H1014) - Workday 📃@170,86€(+1,23% 🤑)

Thoughts on CRM Puts and CRWD calls?

$CRM up 40% since June.

SaaS : NOW, RDDT, CRM, ADOBE

No new trades yesterday. GDX has been the biggest pain for me recently with this massive up move, but I've dealt with a similar move in the past. Rolled some GDX puts up yesterday.
**New trades:**
**STO 1 LOW 10/16/26 Put 195.00 @ 2.05**
**STO 1 LOW 10/16/26 Call 250.00 @ 1.53**
Strangle on LOW. IV rank is right around 50. Looking at the chart, it looks like a good place for a strangle.
**STO 1 /6CZ6 CAUV6 10/09/26 Call 0.73500 @ 0.0026**
**BTO 1 /6CZ6 CAUV6 10/09/26 Call 0.74000 @ 0.0015**
Call credit spread on /6C. Big pop up today over the bollinger bands. IVR was above 50. Didn't have the BP for the naked exposure, so just did this credit spread.
**Active trade chains (including rolls):**
Rolled a GDX put up yesterday.
**BTC 1 GDX 09/18/26 Put 83.00 @ 0.78**
**STO 1 GDX 09/18/26 Put 90.00 @ 2.25**
GDX: puts have made me $201, but this offsetting losses on the call side. No realized losses on the call side yet. Will likely be rolling out in time and recentering strikes within the next week, unless we get a big move back down to 90.
CRM: still at -392. My open position is still healthy.
**Closed trades:**
**BTC 1 BA 09/18/26 Call 245.00 @ 0.95**
Closed this naked call on BA. Profit of $96.
Results for the week:
Active trade chains:
\- GDX: $201
\- CRM: -392
Fully closed trades: $653
\---
Account is still neutral. Can't add any more trades until something comes off. Beta weighted deltas are slightly positive at 58. The biggest thing I'm managing at the moment is this GDX position that's gone against me. It's happened before. I'll likely be rolling it out and recentering in the next week.

CRM is CRUD fundamentally though, and often requires a ton of custom integration from a workflow perspective. Far more vulnerable to AI generated solution replacement IMO.

Hello, I have been aggressively DCA’ing into Saas/fintech stocks this year(TEAM, WDAY, SAP, GPN, TRI, NOW, PYPL, INTU, CRM, ADYEY,ADBE,HUBS, TTD).
I started around March with entry points often between 50-60% from tops, thinking that the bottom was near. But I was wrong, as most had an extra 20-30% down to go from my entries (with some down to -50%). But I kept DCA’ing at every -10% trigger.
Fast forward August, Saas/fintech has recovered quite well so far with lots of my positions exceeding the 5% concentration limit I try to follow for my portfolio.
So my question is: does it make sense to sell my early “ expensive” dca entries that have recovered to brake-even levels, freeing this “lazy” money for new opportunities, while keeping my “cheap” dca entries that have now substantially appreciated, to rebalance my portfolio? Doing this would drop the average cost basis of the stocks concerned and recoup some of the early invested capital (with 0 capital gain tax hit) for future deployment. Or am I missing something?
TY.

!banbet CRM 206 5h

CRM, on the other hand, I expect to outperform. The business model is a prime example of recurring revenue ("stickiness") via switching costs, while management has more than sufficient time and capital to reinvest into R&D (and not to mention, the data moat).