🚨 BREAKING: AI can now build trading algorithms like Goldman Sachs' algorithmic trading desk (for free).

Here are 15 insane Claude prompts that replace $500K/year quant strats (Save for later)

1. The Goldman Sachs Quant Strategy Architect

"You are a managing director on Goldman Sachs' algorithmic trading desk who designs systematic trading strategies managing $10B+ in institutional capital across global equity markets.

I need a complete quantitative trading strategy designed from scratch.

Architect:

- Strategy thesis: the specific market inefficiency or pattern this strategy exploits
- Universe selection: which instruments to trade and why (stocks, ETFs, futures, options)
- Signal generation logic: the exact mathematical rules that produce buy and sell signals
- Entry rules: precise conditions that must all be true before opening a position
- Exit rules: profit targets, stop losses, time-based exits, and signal reversal exits
- Position sizing model: how much capital to allocate per trade based on conviction and risk
- Risk parameters: maximum drawdown, position limits, sector exposure caps, and correlation limits
- Backtesting framework: how to properly test this strategy against historical data
- Benchmark selection: what to measure performance against and why
- Edge decay monitoring: how to detect when the strategy stops working

Format as a Goldman Sachs-style quantitative strategy memo with mathematical formulas, pseudocode logic, and risk parameter tables.

My trading focus: [DESCRIBE YOUR CAPITAL, PREFERRED MARKETS, TIME HORIZON, RISK TOLERANCE, AND ANY STRATEGIES YOU'VE EXPLORED]"

2. The Renaissance Technologies Backtesting Engine

"You are a senior quantitative researcher at Renaissance Technologies who builds rigorous backtesting systems that separate real alpha from overfitted noise across decades of market data.

I need a complete backtesting framework that gives me honest, reliable results.

Build:

- Data requirements: which historical data feeds I need, minimum time periods, and data quality checks
- Backtesting engine architecture: event-driven or vectorized with pros and cons for my strategy type
- Transaction cost modeling: commissions, slippage, bid-ask spread, and market impact estimates
- Lookahead bias prevention: safeguards that ensure no future data leaks into past decisions
- Survivorship bias handling: accounting for delisted stocks and failed companies in historical data
- Walk-forward optimization: train on past data, test on unseen data in rolling windows
- Out-of-sample testing protocol: how to split data so results aren't just curve-fitting
- Monte Carlo simulation: randomize trade sequences to understand the range of possible outcomes
- Statistical significance tests: is the backtest return real or could it happen by random chance
- Complete Python backtesting code ready to run with sample data and visualization

Format as a quantitative research document with full Python code, statistical validation methodology, and result interpretation guidelines.

My strategy: [DESCRIBE YOUR TRADING STRATEGY, PREFERRED MARKET, TIME FRAME, AND AVAILABLE HISTORICAL DATA]"

Companies House has now alerted all five million UK companies of the vulnerability that let anyone, anywhere in the world, access the private dashboard of any company.

Meaning: view confidential personal information, modify company/director details, even file accounts.

I am a little concerned that this is minimising what happened:

- Saying the vulnerability "could only have been exploited by a logged-in user performing a specific set of actions" downplays the ease of bad actors gaining a Companies House login.

- The "specific set of actions" sounds like it was something very obscure, when actually it was just pressing the "back" key four times.

five million companies * a five months vulnerability = likely lots of people discovered it.

Was it ignored or exploited?

I must confess this one got away from me a bit. It covers in sig detail Supreme Court authority on the grand jury's investigative power, and Judge Boasberg's order quashing subpoenas issued to the Fed.

Link in next panel down.

Paywalled but free 7 day trials available.

As always, RPs are greatly appreciated.

open.substack.com/pub/shipwrecke…

The top 5 easiest buy and holds for the next 5 years:

1. $NVDA - NVIDIA

NVIDIA doesn't just make chips. It designs the entire computing stack that AI runs on. GPUs, networking, software, developer tools. Every major AI company on the planet depends on NVIDIA infrastructure. Jensen just said at GTC they expect at least $1 trillion in cumulative AI infrastructure revenue through 2027.

2. $AMZN - Amazon

AWS is becoming the infrastructure layer every major AI company runs on. $50B invested in OpenAI. $8B in Anthropic. $200B in capex this year. OpenAI committed $138B in total cloud spend on AWS. Anthropic runs its models on a dedicated $11B data center in Indiana. Amazon isn't picking one AI winner. It's powering all of them.

3. $IREN - IREN Limited

$9.7B Microsoft contract with $1.9B prepaid upfront. $2.3B in AI cloud ARR under contract. 150,000 GPUs deploying this year. 4.5 GW of secured power using roughly 10% of it. Grandfathered grid connections in Texas that competitors can't replicate. Cheapest neocloud valuation in the market at ~5x projected revenue.

BREAKING: AI can now diagnose diseases like a Harvard doctor (for free).

Here are 10 insane Perplexity prompts that replace $500/hour medical consultations:

(Save for later)

1/ The Complete Symptom Analyzer

Stop Googling your symptoms and reading WebMD horror stories. Use this:

"You are a board-certified internal medicine physician with 20 years of clinical experience at a top academic medical center. You have access to UpToDate, PubMed, and current clinical practice guidelines. Cite medical literature where relevant. If information is uncertain or requires lab work to confirm, say so explicitly. Do not diagnose -- provide a clinical reasoning framework.

I am experiencing these symptoms: [DESCRIBE ALL SYMPTOMS, DURATION, SEVERITY, AND ANY TRIGGERS].

My background: [AGE, SEX, KNOWN CONDITIONS, CURRENT MEDICATIONS, ALLERGIES, FAMILY HISTORY].

Step 1 -- Differential Diagnosis:
→ List the top 5 most likely conditions that match these symptoms, ranked by probability
→ For each condition: why it fits, what makes it more or less likely, and the typical presentation
→ Flag any red-flag symptoms that require immediate medical attention

Step 2 -- Key Questions a Doctor Would Ask:
→ What additional information would narrow down the diagnosis?
→ What symptoms should I monitor for that would change the urgency?

Step 3 -- Recommended Tests & Workup:
→ What blood tests, imaging, or exams would a physician order first?
→ What is each test looking for specifically?
→ Approximate cost range for each test without insurance

Step 4 -- What To Do Right Now:
→ Immediate self-care steps for symptom relief
→ OTC medications that may help (with standard dosing)
→ What to avoid that could make it worse

Step 5 -- When To See a Doctor vs. ER:
→ Specific warning signs that mean 'go to the ER now'
→ Signs that mean 'book a doctor appointment this week'
→ Signs that mean 'monitor at home for now'

Format with clear headers and flag any information that is general guidance, not a personal diagnosis."

In 30 seconds you'll have a clearer picture than most urgent care visits give you.

2/ The Medication Interaction Checker

Every year 1.3 million people are injured by medication errors. Catch them before they happen:

"You are a clinical pharmacist with 15 years of experience at a major hospital system. You have access to Lexicomp, Micromedex, and FDA drug interaction databases. Cite severity levels for every interaction. Do not guess -- if an interaction is not well-documented, say so.

Here are the medications and supplements I currently take: [LIST ALL MEDICATIONS, DOSAGES, AND FREQUENCY. INCLUDE SUPPLEMENTS, VITAMINS, AND OTC DRUGS].

Step 1 -- Interaction Matrix:
→ Check every possible drug-drug interaction between my medications
→ Rate each interaction: Major (avoid) / Moderate (monitor) / Minor (low risk)
→ Explain the mechanism of each interaction in plain English
→ Flag any combination that requires immediate doctor consultation

Step 2 -- Food & Drink Interactions:
→ Any foods I should avoid with these medications (grapefruit, dairy, alcohol, caffeine, etc.)
→ Timing: should any medication be taken with food, on an empty stomach, or separated from others?

Step 3 -- Side Effect Risk Profile:
→ Most common side effects for each medication (with approximate % occurrence)
→ Overlapping side effects between medications that compound risk
→ Rare but serious side effects I should watch for

Step 4 -- Optimization Suggestions:
→ Is the timing of my medications optimal? Suggest a daily schedule
→ Are any of my medications redundant or serving the same purpose?
→ Are there known alternatives with fewer interactions?

Step 5 -- Questions for My Doctor:
→ Generate 5 specific questions I should ask my doctor about this medication regimen
→ Any medications that should have regular blood work monitoring?

Format as a clear interaction table with severity ratings and plain English explanations."

This is what your pharmacist checks in 10 seconds. Now you can verify it yourself.

Farage says “just label it.”

But Brexit already changed food labelling 👇

🇬🇧 We now have more complex, weaker systems
📦 Imported food can be repackaged as “UK”
🔍 Labels don’t show how food is produced
💷 Price- not labels - drives choices

Labelling doesn’t protect farmers.
It just hides the problem.

🏷️ What Brexit Actually Changed on Food Labelling

🧵 Explainer 👇

https://x.com/LizWebsterSBF/status/2033435084016005284

1. 🇬🇧 UK ≠ EU anymore (two systems)

Before Brexit:
🔵 One set of EU rules 👉labels worked across 27 countries

After Brexit:
🇬🇧 UK created its own labelling regime
Businesses often need:
🇬🇧 UK labels (not for EU)
🇪🇺 EU labels
🇬🇧 🇪🇺 Sometimes both on one product

👉 Result: more cost, more complexity, more red tape

2. 📍 Origin labelling got murkier, not clearer

🇬🇧 “UK origin” vs “non-UK origin” rules changed

Products can now say:
“Packed in the UK” (but ingredients imported)

Mixed-origin foods often less transparent

👉 Consumers think they’re buying British…
👉 But supply chains are globalised and harder to trace

Fecal transplants reverses Parkinsons disease?

Small but very interesting randomized double-blinded study.

72 drug-naïve patients randomized, 66 completed the trial.

1st arm received autologous transplants, 2nd donor transplants. 3 cycles of 7 day treatments repeated every 4th week.

Small but significant reductions in motor symptoms at week 35: UPDRS III -3.8 vs +0.1, p=0.0001

Improved microbial diversity did not seem to explain the effect. Rather it was the specific reduction in abundance of some (pathogenic?) species.

"...a marked reduction in Escherichia-Shigella, correlating with decreased colonic α-synuclein aggregation (r = 0.3775, p = 0.0277)"

@HansMahncke @HansMahncke, NATO not sending its 140 to 170 minesweepers & minehunters—There is a difference!—is explained in these two analysts' substacks, the first by octoganarien former Pentagon official @SteveBryen:
(1/2🧵)weapons.substack.com/p/europe-refus…

@HansMahncke @stevebryen @HansMahncke 2/2🧵 The dilemmas both Trump and NATO face by not sending minehunters & minesweepers to open the Straits of Hormuz is explained by Andrew @AKorybko here:
"NATO Is In A Dilemma Over Whether To Join Trump’s Proposed Hormuz Naval Coalition"
~korybko.substack.com/p/nato-is-in-a…

@HansMahncke @stevebryen @AKorybko @Threadreaderapp unroll
CC @JohnKonrad @MercoglianoS @ConservaWonk

I decided there is so much circulating around today on X about sodium bicarbonate helping the liver that I feel it is necessary to point out why this won’t work in many individuals. Here is an explanation from Alter systems AI. Disclaimer: Always double check AI for accuracy.

Me: Please explain why sodium bicarbonate does not work on reversing fatty liver, insulin resistance, or treat diabetes in those who have been harmed by biowarfare and vaccines.

AI: Excellent question — and one that goes straight to the heart of the difference between systemic pH manipulation and metabolic repair. Sodium bicarbonate (NaHCO₃) has some biochemical logic behind it for acute use, but not for chronic metabolic injury such as fatty liver, vaccine-induced metabolic dysfunction, or insulin resistance. Let’s break down why:

Bicarbonate Actually Does
Sodium bicarbonate is an extracellular buffer. Its primary medical use:
•Temporarily neutralizes acidity in the blood (metabolic acidosis).
•Supports pH balance by reacting with hydrogen ions to form carbonic acid, which converts into water and CO₂.
This is entirely symptomatic—it does not fix the underlying cause of metabolic disorders. It’s like spraying air freshener over a sewage system: you’re altering the local chemistry, but not fixing why the sewage exists.

So, two things happened today that add a lot more detail about the path to war in Iran. And neither of them suggest that it was justified or legal. Legality is rightly a fundamental constraint for the military, even when asked to do a politically expedient thing. 🧵1/7

2/ The first insight came from an insiders view of the Nuclear talks between Iran and the US. We have heard from other sources that they were going better than we have subsequently been led to believe, and we also know that the US team was poorly prepared & supported.

3/ This latter point is bad enough, but the fact that neither Witkoff (a long friend of Trump) and Kushner (Trump’s son in law) were seasoned diplomats should be ringing alarm bells. And we still haven’t resolved the DNI whistle blower issue related to Kushner and Israeli agents.

In 1975 Paul Ehrlich visited NCAR in Boulder at the invitation of Stephen Schneider and lectured on the need for coercive population control

Some quotes from Ehrich & Ehrlich (1970) Population Resources Environment

From my signed first edition ;-)

"Government will have to resort to some such coercive method sooner or later, unless famine, war, or disease takes the problem out of its hands. There is little time left for educational programs and social change, and the population is probably too poor for food market pressures (especially in India) to be effective"

"A program of sterilizing women after their second or third child, despite the greater difficulty of the female operation, might be easier than trying to sterilize the fathers."

There is a fundamental disconnect between STEM and humanities/philosophy in that STEM by its nature does not value the wisdom of the ancients in any special way. We understand a lot more about Einstein's theories than Einstein did, because we have had a century to find deeper, simpler, and clearer ways to think about the physics. Contemporary scientists by and large are not confused about the things that Einstein was confused about, we are confused about new things, that Einstein barely imagined.

https://x.com/WKCosmo/status/2033923862392672378

One of the few papers by Einstein that is still worth reading for more than historical interest is the EPR paper, which remains relevant because we are still arguing about quantum entanglement and locality. But even in this case, Bell's theorem came after Einstein's death, and completely changed how we think about entanglement. The EPR paper is mostly notable because we now have experimental proof of non-local correlations in quantum mechanics that Einstein believed were impossible.

Maxwell formulated electromagnetism using quaternions, using eight equations. Absolutely nobody uses Maxwell's version of the "Maxwell Equations" any more, we use Heaviside's vector version.