C
Citigroup Inc.
stock NYSE

Building a compiled C# trading kernel instead of Python. 50M ticks/sec sweeps and a "guilty until proven innocent" risk model.

Do we have the same numbers? I made an audit on $SM for your right now!
AUDIT TARGET: $SM | SM Energy Company | Exchange: NYSE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ [\[1\]](https://www.stocktitan.net/sec-filings/SM/)[\[2\]](https://fintel.io/so/us/sm)
**STEP 0 — TIME SYNC (MANDATORY)**
* **Current Date:** Monday, March 30, 2026 [\[3\]](https://howlongagogo.com/date/2026/march/30)
* **Current Time:** 14:39:11 (Local) | 14:39:11 (NY/EST)
* **Market Status:** NYSE OPEN (Mid-day Session)
**DATA INTEGRITY CHECK (SELECTIVE CROSS-VALIDATION)**
|Metric|Track 1/2|Finviz|Status|Adopted Value|
|:-|:-|:-|:-|:-|
|**P/B Ratio**|0.77 (Webull)|0.78|⚠️ DISCREPANCY|**0.77**|
|**Market Cap**|$7.80B|$7.80B|✓ MATCH|$7.80B|
|**Enterprise Value**|$9.85B|$10.28B|⚠️ DISCREPANCY|**$10.28B**|
|**Float Shares**|236.04M|236.04M|✓ MATCH|236.04M|
**A. ESTABLISHED FACTS**
|Metric|Value (LTM/2026)|Statut|Source|
|:-|:-|:-|:-|
|**Cash**|$368.00M|Stable|Per Q4 Earnings Call|
|**FCF (Adj)**|$620.00M|Record|Based on recent SEC filings|
|**Debt (Gross)**|$2.85B|High (Post-Merger)|Per 10-K Filing|
|**SBC Drag**|\~1.5% of Revenue|Low|Market consensus|
|**Dilution**|\> 100% (Event)|**DESTRUCTIVE**|Civitas/XCL Merger Integration|
**B bis. NOISE ARCHAEOLOGY**
* **Scale \[24h/7D\]:** High volatility (±4.5%) driven by geopolitical friction in the Middle East.
* **Dominant Narrative:** "Energy Security vs. Dilution Hangover." The market is currently digesting the massive share issuance from the Civitas Resources merger while simultaneously pricing in the "Trump-Iran" trade.
* **Pivots:** Strategic shift from "Aggressive Acquisition" to "Aggressive Deleveraging." Management has committed 80% of post-dividend FCF to debt reduction, targeting a $1.0B divestiture of South Texas assets by Q2 2026.
**C. VARIANT PERCEPTION & CORE THESES**
* **Narrative Lag:** While the consensus focuses on the 100%+ share count explosion (from \~114M to \~238M), the underlying asset quality in the Uinta Basin remains under-priced. The adopted **P/B of 0.77** suggests the market is valuing the company at a 23% discount to its liquidation value, ignoring the PV-10 reserve expansion.
* **Institutional Absorption:** Per recent 13F filings, institutional ownership remains high (94%+), suggesting that the recent price action near 52-week highs ($32.72) is supported by "Smart Money" rather than retail speculation.
**D. UNCERTAINTY ZONES & SOFT GUIDANCE**
* **Master Vector (Iran):** Current discussions regarding the Strait of Hormuz act as a binary trigger. A reopening would lead to a "Pain Trade" for energy longs, while continued closure sustains the $100+ oil floor.
* **Escalated Finding (Clause A):** The "Destructive Dilution" (>7% per internal methodology) is mathematically confirmed. However, if revenue growth from the new assets exceeds the 100% dilution rate over a 3-year trailing average, the "Capitalistic Predation" label may be revoked. Currently, revenue is down 17.3% YoY, creating a high-tension zone. [\[4\]](https://www.macrotrends.net/stocks/charts/SM/sm-energy/stock-price-history)
**E. MICRO VERDICT**
* **Liquidity:** Robust. [\[5\]](https://www.stocktitan.net/news/SM/sm-energy-provides-2026-vq0n1ky8o7l3.html) $2.9B total liquidity with a $2.5B credit commitment extended to 2031. [\[5\]](https://www.stocktitan.net/news/SM/sm-energy-provides-2026-vq0n1ky8o7l3.html)
* **Hedges:** 2026 production is protected via collars; however, the "Structural Premium" is capped if oil exceeds $110 due to ceiling constraints.
* **Short Interest:** 13.2% of float. [\[6\]](https://www.marketbeat.com/instant-alerts/sm-energy-company-nysesm-short-interest-update-2026-03-17/) With oil at $102, a "Structural Squeeze" is probable if the $33.17 resistance is breached on high volume.
**E bis.** [**\[7\]**](https://upstox.com/us-stocks/sm-share-price/)[**\[8\]**](https://tradingeconomics.com/sm:us) **CONTRARIAN & MULTIBAGGER SETUP (The "Moment T")**
* **Financial Survival:** Cash Runway Score is high (Net Cash/Burn not applicable as FCF is positive). No "Toxic Debt" detected; 2034 Senior Notes priced at 6.625% indicate institutional confidence.
* **Yartseva Macro Filter:** Excess FCF Yield = 3.37% (FCF Yield 7.7% - 10Y Treasury 4.33%). [\[4\]](https://www.macrotrends.net/stocks/charts/SM/sm-energy/stock-price-history) **POSITIVE.**
* **Accumulation & Volatility:** Price is currently hugging the VWAP with increasing volume, signaling institutional absorption.
* **Smart Money Narrative:** Defensive-to-Offensive pivot confirmed via the 10% dividend hike ($0.88 annualized). [\[4\]](https://www.macrotrends.net/stocks/charts/SM/sm-energy/stock-price-history)
**F. STRUCTURAL SCORE: 6.8/10**
* *Justification:* Penalized by massive dilution (>7% threshold) and YoY revenue contraction. Supported by deep value (P/B 0.77), high FCF yield, and aggressive debt-reduction roadmap. [\[4\]](https://www.macrotrends.net/stocks/charts/SM/sm-energy/stock-price-history)
**G. INVALIDATION**
* **Rupture Threshold:** Oil dropping below $75/bbl (WTI) or failure to close the $950M South Texas divestiture by June 2026.
* **Hard Date:** Q1 2026 Earnings (April 30, 2026).
**H. PRO DEPTH**
* **Quality of Earnings:** GAAP EPS ($0.83) beat estimates, but revenue miss suggests margin pressure from integration costs (\~$70M non-recurring).
* **DuPont Analysis:** ROE of 14.33% is healthy but shows degradation from previous 20%+ levels due to the asset-heavy nature of the merger.
* **Sector Sentinel:**
* **$OVV (Ovintiv):** High correlation (88%) → Contagion Risk \[45%\].
* **$CHRD (Chord Energy):** Peer benchmark for Uinta Basin efficiency.
**I. THESIS SUMMARY & D+3 VALIDATION**
* **72h Outlook:** Expect price consolidation between $30.50 and $33.00. The "Moment T" requires a sustained break above $33.20 on volume > 8M shares to trigger the short-squeeze cascade.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
VERIFIED AUDIT TIMESTAMP: March 30, 2026 | 14:39:11 (Local) | 14:39:11 (NY/EST).
TICKER TRIGGER PRICE: $32.72 (+0.12%) | Vol: 5.25M.
SYNC: \[✓\] | CLAUSES: Credit \[✓\] Hedge \[✓\] Contingencies \[✓\] Dilution \[⚠️\] Integrity \[✓\] Survival \[✓\] Macro \[✓\] Accum. \[✓\] Narrative \[✓\]
\[FINAL MANDATORY FOOTER\]
⚠️ Not financial advice. User solely responsible. Audit complete. Enter a new ticker to launch a fresh audit.

C'mon Bools, do some revenge trade for your port LMAO

Had exact the same issue, but then I used just VIX as there is complete history available and as good as P/C ratio.

C or p?

Sierra Chart ACSIL devs — how are you handling backtesting and optimisation?
I've been building an automated trading system in ACSIL (C++) for NQ futures. It's a mechanical version of my discretionary approach, and I'm still working through the core functionality, but I'm approaching the stage where I need to start optimising parameters and systematically collecting performance data.
The problem is as much as I adore Sierra Chart as a trading platform backtesting and data collection through ACSIL feels like an absolute mammoth of a task compared to using Python in QuantConnect or similar frameworks. The feedback loop is so much slower.
For anyone who's been through this:
\- How do you structure your backtesting workflow in Sierra Chart?
\- Any tips for speeding up the iteration cycle?
\- Do you export data and do the analysis externally, or keep everything within SC?
\- Has anyone built a hybrid approach SC for execution, Python for research/backtesting?
Would genuinely appreciate any experiences or tips. This part of the process feels like the biggest bottleneck and I'd love to hear how others have tackled it.
Thanks in advance!

Hi Kenneth!!!!! 👀 I C U

How useful is this computational physics PhD? I got one in 2015, at the moment work in a fintech company (credit risk modelling). 
I think this MPI low level development (for me it was Fortran, but libraries are similar in C) is too niche 

T.A.C.O

1.) buying Gold on ebay... lol... 2.) and yes fake is fraud. That's a criminal offense (this requires to be denounced at the police) and it is a civil claim as well about the money - where you need a lawyer to get back your money. He might start a civil lasuit or first contact the middlemen which did arrange the payments. Interfering there by yourself will mostly never lead into a refund... it goes into the opposite, violating Ebays T&C could lead into a platform ban.
Disposal would just mean to throw away evidence. It makes things compliacted when Ebay acts as a money middleman here, especially when a credit card was used for payment... but at the end this is a deal between buyer and seller, the intermediaries are not of concern here.

i have no idea how to do with this picture.
and translation is distorting my intention.
so i will use korean.
이 수식을 사용하는 방법.
1. 한국은행 월간 보고서를 통해 분기별 외환 보유량을 얻는다.
2. 분기별 보고서를 통해 정부가 기업이나 은행에 빌려준 외환을 분기별로 구한다.
3. 분기별 국가가 직접 사용한 외환을 보고서를 통해 얻는다.
4. 10일마다 발표되는 보고서를 통해 분기별 수출 이익액을 얻는다.
5. Vswap은 swap을 하지 않았을 경우, 0으로 지정한다.
6. 환율 그래프를 켜서 각 시기에 심리적 저지선의 하한선과 상한선을 추정한다.
7. 각 시기별로 각 종 상수를 설정한다.
8. 그 두 개의 선을 중앙에 줄을 긋는다.
그은 줄의 위쪽에 있는 구역을 X, 아래쪽을 Y라고 부르자.
X의 그래프는 위쪽 상한선을 C로, Y의 그래프는 아래쪽 하한선을 C로 잡는다.
X는 막기 위해 사용한 금액 계산 영역, Y는 막기 위해 회수한 영역이다.
그것을 기준으로 수식을 계산한다.(저는 인베스팅에서 캔들 길이로 했지만, 정밀함을 원한다면 적분을 해야함)
이런식으로 두세번 정도하면 p와 q를 구할수 있다.
그러면 p, q가 구해진 것이다. 
아직 한국은행이 유동성을 위해 국가나 기업에게 빌려준 금액을 발표하기 전이다.
하지만 저번달을 기준으로 이번달까지 환율 데이터를 계속 넣는다면?
즉, 얼마나 우리나라 기업과 은행이 얼마나 외환 보유량이 부실한지 알수 있다.
1. **Data Acquisition (Official Reserves):** Obtain quarterly Foreign Exchange Reserves data through the Bank of Korea's (BOK) monthly reports.
2. **Estimation of Loans to Private Sector:** Calculate the amount of foreign exchange lent by the government to corporations and banks on a quarterly basis using these reports.
3. **Direct Sovereign Expenditure:** Extract the data on foreign exchange directly utilized by the state from official quarterly statements.
4. **Trade Surplus Inflow:** Integrate quarterly export earnings data, released in 10-day intervals, to account for organic dollar inflows.
5. **Swap Adjustment ($V\_{\\text{swap}}$):** If no currency swap agreements are active during the period, set $V\_{\\text{swap}} = 0$.
6. **Psychological Threshold Identification ($C$):** Analyze the exchange rate charts to estimate the upper and lower psychological support/resistance lines for each period.
7. **Parameter Calibration:** Set the relevant constants ($\\alpha, k, etc.$) specific to the observed market conditions of each period.
8. **Zone Segmentation (X and Y):**
* Draw a median line between the upper and lower resistance levels.
* **Zone X (Above Median):** Set the upper resistance line as the threshold **$C$**. This zone represents the expenditure area where the government injects dollars to suppress rate spikes.
* **Zone Y (Below Median):** Set the lower support line as the threshold **$C$**. This zone represents the recovery area where the government replenishes reserves.
* **Calculation:** Calculate values based on these zones. (For approximation, use candle length from [Investing.com](http://Investing.com); for higher precision, perform a time-integral on the price action.)
**\[Outcome: Solving for p and q\]**
By iterating this process 2-3 times, the parameters **$p$** (Rate Adjustment Coefficient) and **$q$** (Panic Mass Coefficient) can be derived.
**\[The Objective: Identifying the Hidden Bleed\]**
The Bank of Korea has not yet released the latest figures for liquidity support provided to corporations and banks. However, by inputting real-time exchange rate data against the previous month’s baseline, we can reverse-engineer the current fragility of foreign exchange liquidity within domestic corporations and banks.

to avoid holds \[ = funds are not available for withdrawal, that includes moving to other accounts within Fidelity \] you can do (A) ACH push to your Fidelity account, initiated from outside (B) wire (C) have a collateral in your account where you do ACH pull - collateral is something that is not a Fidelity's own MMF \[ for example some ETF , etc \] - your ACH pull will be available w/o any holds up to the value of such collateral

Morning everyone!
Economic report(s) scheduled for the day is(are) | at^[i](https://fidelityfiplus.econoday.com/byweek): Dallas Fed Manufacturing Survey | 10:30am, Farm Prices | 3pm; Fed speaker Williams is at 4pm. Media platforms are discussing: Conflicting claims on Iran war negotiations, Meta and Google’s social media addiction legal troubles, Signals of Hedge Funds capitulating on stocks, Iran war’s impact on material costs, AI Space race among IPOs, Oil surges on President’s claim to Kharg Island. There is no surprise really when it comes to claims around the war wrapping up with favorable terms, only to see that refuted by the opposition, and so instead the prudent investor must look at the rest of the data beyond day to day market volatility. The prudent investor or trader right now knows to treat volatility in futures as opportunities to hedge risk as daily as they are often not indicative of the full day’s movement presently. Premarket futures were up firmly in early trading as of 7am, VIX futures were down accordingly.
MVIS ended the last trading session at ~0.58, on very low volume traded compared to the daily average over the past month. Stock price action saw the trade range move further below average ranges, ending the day on at low alongside the broader market pullback, with relatively low Short Volumes being reported. The company’s recent hype around solid state lidar applications in drones, industrial, and automotive has not been particularly share price moving. That is largely to be expected, as at this point the focus is on achieving success through sales and shipping products to customers, with anything else being treated as mere fluff regardless of whatever the scale of the opportunity. This is why we have not been seeing a significant closing of Short positions, nor a ton of new buying by investors that are being cautious with the uncertainties of global politics and economics. Coupled with not having strong trading signals at the moment, the stock looks poised to drift here until tangible results change the trajectory.
## Daily Data
***
|H: 0.62 — L: 0.58 — C: 0.58 ^[i](https://chartexchange.com/symbol/nasdaq-mvis/historical/) |[Calendar](https://fidelityfiplus.econoday.com/byweek.asp)|
|:- |:-|
|**Pivots ↗︎ : 0.60, 0.63, 0.64** ^([i](https://www.investopedia.com/terms/p/pivotpoint.asp)) |**Pivots ↘︎ : 0.57, 0.56, 0.53**|
|Total Options Vol: 696 ^([i](https://researchtools.fidelity.com/ftgw/mloptions/goto/underlyingStatistics?cusip=&symbol=MVIS&Search=Search)) |Avg 90d Options: 2,124|
|Calls: 592 ~ 55% at Market ⊟ |Puts: 104 ~ 93% at Market ⊟|
|Open Exchanges: 1,112k ~ 35% ^[i](https://chartexchange.com/symbol/nasdaq-mvis/exchange-volume/) |Off Exchanges: 2,085k ~ 65% ^[i](https://chartexchange.com/symbol/nasdaq-mvis/exchange-volume/)|
|IBKR: 250k Rate: 31.22%^[i](https://chartexchange.com/symbol/nasdaq-mvis/borrow-fee/) |
|**R Vol: 38% of Avg Vol: 8,361k** ^([i](https://www.investopedia.com/terms/a/averagedailytradingvolume.asp)) |**Short Vol: 1,228k of 2,343k ~ 52%** ^[i](https://chartexchange.com/symbol/nasdaq-mvis/short-volume/?tblshortvolix=0)|

^(Follow links for sources. Bold text represents key points or larger data, Italics are slightly unusual or lower than normal.)

Here are today's top pre-market performers showing the biggest moves before regular trading hours.
## 📈 Pre-Market Gainers:
| Symbol | Company | Pre-Market | Regular Hours | Change | %Change |
|:-------|:--------|:----------:|:-------------:|:------:|:-------:|
| [UTHR](https://marketrodeo.com/asset/UTHR) | United Therapeutics Corporation | 597.50 | 522.83 | +74.67 | +14.28% |
| [AA](https://marketrodeo.com/asset/AA) | Alcoa Corporation | 63.78 | 58.39 | +5.39 | +9.23% |
| [CX](https://marketrodeo.com/asset/CX) | CEMEX, S.A.B. de C.V. | 11.37 | 10.75 | +0.62 | +5.81% |
| [ROIV](https://marketrodeo.com/asset/ROIV) | Roivant Sciences Ltd. | 28.03 | 26.52 | +1.51 | +5.69% |
| [PTC](https://marketrodeo.com/asset/PTC) | PTC Inc. | 144.04 | 137.61 | +6.43 | +4.67% |
## 📉 Pre-Market Losers:
| Symbol | Company | Pre-Market | Regular Hours | Change | %Change |
|:-------|:--------|:----------:|:-------------:|:------:|:-------:|
| [DFIC](https://marketrodeo.com/asset/DFIC) | Dimensional - International Core Equity 2 ETF | 28.68 | 34.45 | -5.77 | -16.76% |
| [MFC](https://marketrodeo.com/asset/MFC) | Manulife Financial Corporation | 31.12 | 33.63 | -2.51 | -7.46% |
| [QSR](https://marketrodeo.com/asset/QSR) | Restaurant Brands International Inc. | 66.82 | 71.42 | -4.60 | -6.44% |
| [SYY](https://marketrodeo.com/asset/SYY) | Sysco Corporation | 77.00 | 81.80 | -4.80 | -5.87% |
| [BCH](https://marketrodeo.com/asset/BCH) | Banco de Chile | 36.00 | 38.05 | -2.05 | -5.39% |
Source: [Market Extended Hours](https://marketrodeo.com/market-extended-hours)

C'est le meilleur résumé que j'ai pû lire sur Reddit.

C++ dev opportunities at trading firms in HK

This is my main portfolio.
Just long-term, buy-and-hold.
Tried to diversify by geography, weighting methodology, and factor tilts. I wanted to minimize exposure in the top ten, with a slight value tilt.
It's a bit short on emerging markets. And I might be a little short on tech, which would be good if there is an AI bubble, not so much if not.
* **SCHX** (Market Weighted) + **FNDX** (Fundamentally Weighted): US Large/Mid Blend. *20% each*.
* **SCHF** (Market Weighted) + **FNDF** (Fundamentally Weighted): Developed Large/Mid Blend. *2.5% each.*
* **SCHE** (Market Weighted) + **FNDE** (Fundamentally Weighted): Emerging Large/Mid Blend. *2.5% each.*
* **AVUV** (US) + **AVDV** (Developed): Global Small Value. *10% each.*
* **SPMO** (US) + **IDMO** (Developed): Global Large Momentum. *10% each.*
* **GLDM**: Global Commodities. *10%.*
To save you some time, from Portfolio Visualizer/ETFDB (03/27/26):
1. Financials: 20.13%
2. Tech: 17.86%
3. Industrials: 13.88%
4. Consumer Disc: 10.05%
5. Communications: 7.84%
6. Energy: 7.32%
7. Healthcare: 6.68%
8. Basic Materials: 6.15%
9. Consumer Staples: 5.80%
10. Utilities: 2.68%
11. Real Estate: 1.60%
|Holding Symbol|Holding Name|Overall Weighting|Number of ETFs Exposed|
|:-|:-|:-|:-|
|NVDA|NVIDIA Corporation|2.73%|3 [ View](javascript:void(0))|
|AAPL|Apple Inc.|2.28%|2 [ View](javascript:void(0))|
|GOOGL|Alphabet Inc. Class A|1.59%|3 [ View](javascript:void(0))|
|MSFT|Microsoft Corporation|1.48%|2 [ View](javascript:void(0))|
|AVGO|Broadcom Inc.|1.45%|3 [ View](javascript:void(0))|
|XOM|Exxon Mobil Corporation|1.35%|3 [ View](javascript:void(0))|
|GOOG|Alphabet Inc. Class C|1.28%|3 [ View](javascript:void(0))|
|AMZN|[Amazon.com](http://Amazon.com), Inc.|1.12%|2 [ View](javascript:void(0))|
|JNJ|Johnson & Johnson|1.07%|3 [ View](javascript:void(0))|
|MU|Micron Technology, Inc.|0.89%|3 [ View](javascript:void(0))|
Comes out to: 60% US/30% International/10% Commodities. \~60% Large-Cap/\~20% Mid-Cap/\~20% Small-Cap.
Combined Expense ratio: 0.18%
Combined P/E: 20.74
Top ten stocks make up: \~15%

Trump & friends will sell before the tariffs/war/invasion/etcetc but buy before the T.A.C.O.

#negotiations with myself going well- T/A/C/O

The irony here for you is that a billionaire likely wouldn't care at all if the SS income tax cap was removed entirely. The fact that you think removing the income cap on the SS tax would impact billionaires at all just showcases your lack of financial literacy and/or your understanding of the legislation.
The social security payroll tax (FICA) applies to:
1. W-2 wages
2. Self employment income (schedule C / partnership earnings)
It does not include:
1. Capital gains
2. Dividends
3. Interest income
4. Rental income (generally)
5. Asset appreciation
6. Loans (including borrowing against assets)
Billionaires W-2 wages are a tiny fraction of their wealth growth to the point where it's nearly irrelevant. Some even take $1 salaries on their W-2s.
Their wealth growth is driven primarily by capital appreciation. IE owning of assets that increase in value which is predominantly equity in companies. Also ownership stakes in private companies. Also things like real estate appreciation.
When billionaires do generate income, it's structured differently. Primarily capital gains, dividends, and borrowing against assets.
Remember that list of sources FICA tax isn't applied to? Hopefully you can figure it out from here.
With all that said - removal of the cap on SS tax would only hurt upper middle class folks making north of 180k per year on their W2. It would not impact billionaires in any meaningful way.