Winds

❤️‍🔥🦦☕️ Need a life boost click here🗡️

[Winds @favorgrows]

Short $nq and $qqq here at 30588 and 736

[shred @shrederickson]

Current Tech Stack:

1. @edgeful — the data layer everything sits on. ORB/IB reach probabilities by level, chop & double-break rates, ADR, gap-fill, opening-candle continuation, by-rejection head-fakes, previous-day high/low, weekday + session breakdowns, regime classification, and MUCH more.

2. @code — home base. The raw @edgeful API connection lives here; both AI tools work off it.

3. CODEX — works in VS Code off the API data, helps me build new algos reports and tweak-reports.

4. @claudeai — deep analysis of existing algos + report generation.

Data in, new ideas + analysis out. Retail tools, institutional process.

[Winds @favorgrows]

@ProbableChris Markets move in large ranges and small ranges the big money is made in the large ranges.

[Chris™ @ProbableChris]

Why Market Regimes Matter

If you want to know when to widen/shorten your stops, when to use bigger/smaller risk, when to use mean reversion frameworks vs trend continuation frameworks.....knowing the market regime you are trading in is how you can determine the answers to those questions.

The market will always move from periods of compressed distribution to elevated distribution. Think of this simply as low volatility vs high volatility. When the market has been slow grind trending for awhile, you are in a compressed distribution. When the market has been creating big outlier days for awhile, you are in an elevated distribution.

Elevated Regime:
Here the market is active, its more volatile. High realized volatility usually accompanies directional conviction, news, or repricing. Moves extend further than they normally would, which punishes early fades. But elevated vol also produces the largest reversion spikes (exhaustion reversals), so mean reversion here is higher-reward and far higher-risk, and timing-dependent. In elevated regimes, expect wider moving bars, stops would be better placed wider or if not moved wider potentially using less $ risk, and the strategies you employ should be able to leverage this elevated volatility.

Compressed Regime:
Here the market is less volatile, you will see slow moving range days or slow grinding trend days. Low realized volatility means price is coiling in a tight range overall. Compression is also the setup before an expansion move. Volatility clusters, so a quiet regime is "storing" energy. In compressed regimes, expect smaller overall range within bars, stops can be tighter, and the strategies you employ here should not be trying to capture large moves because that is not the norm in compressed regimes.

There are various ways to analyze the market and detect what regime you are in. I collect a 5yr baseline of distribution which gives me the +/- SDEV value. I than compare that baseline to the last rolling 10-days distribution, and view this data for the last 6 month, providing me with a chart. This shows me how recent price has been trading against historical price, as it pertains to market norms. I can also see when price is starting to come out of compression into an elevated state, or when price is reverting from an elevated state and falling into compression. Seeing this in the form of a chart allows me to start to make plans and assumptions and adjust my risk and strategies according.

One strategy with one risk profile is not applicable to all market regimes. Elevated, actively expanding, compressed, actively compressing....these are the 4 regimes I focus on and they tell me how I should treat the Day, the New York AM, and each individual hour. You can apply this framework to anytime time based range.

[Roan @RohOnChain]

this is f*cking dangerous

build hedge fund using "loop engineering" that prints alpha 24/7 (Full Guide)

if I had this a year ago, I would've built my hedge fund in a week instead of a year

bookmark before someone takes it down

[Chris™ @ProbableChris]

I took "Karpathy's Second Brain" framework and catered it to trading, see repo link below. Karpathy's concept was to dump everything you know into one place, point an AI at it, and let it build the intelligence layer. For trading, that means every trade, chart, and end-of-day note you write goes into a structured system that an AI organizes into a living playbook — tracking win rates, flagging rule breaks, and surfacing patterns you'd never catch manually. What you end up with isn't a course or a template, it's a system built entirely from your own data.
https://t.co/7uINPeWmIS

[Bride Ministries International @BrideMovement]

You can't pray away what you won't deal with. 🪞 God isn't healing what you are refusing to confront.

[Winds @favorgrows]

@AnthropicAI @Anthropic feature request: a Drive browsing window inside Claude so users can navigate their folders visually and hand documents off to Claude without needing to know filenames in advance. The MCP connector exists it just needs browse/list access, not just search.

[Winds @favorgrows]

@DesmondEugo @WatcherGuru Their definitely there for a reason but I think you’d like Dr. Francis Myles

[Winds @favorgrows]

Here’s how you automatically your trading strategy https://t.co/BEdPjwzppW

[Winds @favorgrows]

@BeardoTrader @grok what kind of news would you expect for this sinario to take place? What news unfolded to create the top of the dot com bubble?

[Winds @favorgrows]

@Housebots Who’s gonna tell them?

[Winds @favorgrows]

@clintoptions Thank You.

[Winds @favorgrows]

@clintoptions $SPY

[Winds @favorgrows]

@clintoptions What are your key price levels for oil?

[Noisy @noisyb0y1]

https://t.co/yvURyA7Dji

[𝕯𝖊𝖛𝕰𝖓𝖓𝖞 @ennycodes]

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[Winds @favorgrows]

Now quantative trading app outperforming the S&P https://t.co/1fBm4MoOeZ