BRN Discussion Ongoing

Bravo

If ARM was an arm, BRN would be its biceps💪!
Stop posting positive stuff… just when you posted that, the share price went to 19,xx

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manny100

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The 100 day bollinger bands are still poised for a big move one way or the other.
The bands are very, very tight.
The bandwidth is in smallest its been in 15 years.
Search tech chart analysts on google for the implications of tight bands and low bandwidth to satisfy yourself or ask a chatbox.
I asked chat gpt 5:
" Short answer:When the 100‑day Bollinger Bandwidthfalls to its lowest level in 15 years, it means the market is experiencing an extraordinary period of low volatility. This kind of extreme compression is rare and usually signals that a major volatility expansion—a large, sustained move either up or down—is likely ahead.."
It means a directional move. If we get some good news catalysts we could see an explosion.
ATM we have Parsons, RTX/USAF, Frontgrade, Onsor, Arquimea, QV/Lockheed-Martin and others on the hook.
dyor.
We have been on a base for around 2 years.
Weigh up yourself the possible gains from a big move from here against a possible fall back to the bottom of the base.
I will put this chart up from time to time until its done.
Just one good news catalyst to start with will do.
BRN END OCT 25.png
 
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7für7

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The 100 day bollinger bands are still poised for a big move one way or the other.
The bands are very, very tight.
The bandwidth is in smallest its been in 15 years.
Search tech chart analysts on google for the implications of tight bands and low bandwidth to satisfy yourself or ask a chatbox.
I asked chat gpt 5:
" Short answer:When the 100‑day Bollinger Bandwidthfalls to its lowest level in 15 years, it means the market is experiencing an extraordinary period of low volatility. This kind of extreme compression is rare and usually signals that a major volatility expansion—a large, sustained move either up or down—is likely ahead.."
It means a directional move. If we get some good news catalysts we could see an explosion.
ATM we have Parsons, RTX/USAF, Frontgrade, Onsor, Arquimea, QV/Lockheed-Martin and others on the hook.
dyor.
We have been on a base for around 2 years.
Weigh up yourself the possible gains from a big move from here against a possible fall back to the bottom of the base.
I will put this chart up from time to time until its done.
View attachment 92696

Do you have the 15 years chart as well?

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Bravo

If ARM was an arm, BRN would be its biceps💪!
The 100 day bollinger bands are still poised for a big move one way or the other.
The bands are very, very tight.
The bandwidth is in smallest its been in 15 years.
Search tech chart analysts on google for the implications of tight bands and low bandwidth to satisfy yourself or ask a chatbox.
I asked chat gpt 5:
" Short answer:When the 100‑day Bollinger Bandwidthfalls to its lowest level in 15 years, it means the market is experiencing an extraordinary period of low volatility. This kind of extreme compression is rare and usually signals that a major volatility expansion—a large, sustained move either up or down—is likely ahead.."
It means a directional move. If we get some good news catalysts we could see an explosion.
ATM we have Parsons, RTX/USAF, Frontgrade, Onsor, Arquimea, QV/Lockheed-Martin and others on the hook.
dyor.
We have been on a base for around 2 years.
Weigh up yourself the possible gains from a big move from here against a possible fall back to the bottom of the base.
I will put this chart up from time to time until its done.
Just one good news catalyst to start with will do.
View attachment 92696


At this point I’m skipping the technicals and going full casino mode.


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7für7

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If 3I/ATLAS turns out to be a spaceship and the market tanks, I’m backing up the truck: 100 million BRN shares and 3 billion NVIDIA shares. When it flies by, the aliens couldn’t care less about us, and the market snaps back,


I’LL BE A TOP-TWO SHAREHOLDER! HAHAHAHAHA!


Revenge Of The Sith Evil Laugh GIF by Star Wars
 
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manny100

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Do you have the 15 years chart as well?

Confused Steve Brule GIF by MOODMAN
Here is the longer term chart from day 1 of company charting.

" Put that to GPT-5:
"In short: If a company’s 100‑day Bollinger Bandwidth is at its lowest level in 15 years, it means the stock is experiencing extraordinarily low volatility compared to its long‑term history. This kind of extreme compression usually precedes a major volatility expansion—a large, sustained move in price. The indicator itself does not predict direction (up or down), only that a significant breakout is likely."
Does not come date stamped with catalyst dates or break out dates. Could be a while yet.? In the meantime we are likely to see accumulation.
BRN END OCT 25.png
 
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Diogenese

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manny100

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oops. here it is, cheers
BRN 15 YEARS.png
 
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FF

Happy to welcome EDGX as a satsearch trusted supplier. Introducing the EDGX DPU, a compact, powerful and modular AI processing system purpose-built for smallsats — and hardened for space. Powered by NVIDIA Jetson Orin NX, this DPU delivers 157 TOPS of AI compute in a <1 kg, 0.5U form factor. Designed for LEO missions, it’s radiation-tested, vibration-qualified, and supports OTA updates for agile in-orbit operations. Features a neuromorphic add-on (BrainChip Akida) for ultra-low-power event-based processing. Supports Dockerized app deployment, with flexible I/O and power modes to match your mission envelope.Applications range from: 5G/6G NTN comms & spectrum monitoring ️ SAR/Optical/Hyperspectral EO Pose estimation for in-orbit servicing Data reduction & cognitive sensingFull specs - https://lnkd.in/giJSpau2
 
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7für7

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7für7

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FF

Happy to welcome EDGX as a satsearch trusted supplier. Introducing the EDGX DPU, a compact, powerful and modular AI processing system purpose-built for smallsats — and hardened for space. Powered by NVIDIA Jetson Orin NX, this DPU delivers 157 TOPS of AI compute in a <1 kg, 0.5U form factor. Designed for LEO missions, it’s radiation-tested, vibration-qualified, and supports OTA updates for agile in-orbit operations. Features a neuromorphic add-on (BrainChip Akida) for ultra-low-power event-based processing. Supports Dockerized app deployment, with flexible I/O and power modes to match your mission envelope.Applications range from: 5G/6G NTN comms & spectrum monitoring ️ SAR/Optical/Hyperspectral EO Pose estimation for in-orbit servicing Data reduction & cognitive sensingFull specs - https://lnkd.in/giJSpau2

That’s 5 months old I guess …
 
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7für7

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It’s always nice to have a look what kind of presentation our customers and partners have on their website about BrainChip…

This one is very nice actually

 
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7für7

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Someone is interested in a partnership

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manny100

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Direct quote from Seans most recent video:
" .So a lot of defense activity, particularly around electronic warfare and drone activity and radar. So the ability to put radar in a drone, which you couldn't do with old traditional technology, it's resonating very, very well there. "
If traditional radar can't be used in Drones then that narrows the field considerably. Neuromorphic AI at the Edge looks like a good choice.
 
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IloveLamp

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Do any of our German friends live in the city of Treuchtlingen? Wanna go look at some intersection gantries :LOL:

Just curious as was looking at a research paper again, which I know has been covered at some point, on the Edge neuro-statistical learning for event-based visual motion detection and tracking in roadside safety systems.

The paper in April 25 as below link, had the conclusion, also snipped below, that made me wonder if they managed to get any traction given they were using Akida?

Conclusions and outlook:

In this paper, we describe an award-winning solution for neuromorphic edge processing for roadside safetymonitoring. Our solution is a practical deployment of neuromorphic technology in which event streamsfrom a neuromorphic camera are processed simultaneously by an SNN, used for detection, and anevent-based EM, used for the tracking of pedestrians and bicyclists. By exploiting the underlyingspatiotemporal patterns of the event-based data in the perceived roadside scene, the system learns arepresentation of the sparse input data context based on the imposed physics of motion. Our analysis,experiments, and preliminary deployment demonstrate that our solution is a promising candidate forroadside real-time neuromorphic edge detection and tracking, delivering robust and accurate performance, avery good energy footprint, and supporting city-level scaling. We are currently working together with the cityof Treuchtlingen in Germany 6to mount the system on the gantry in dangerous intersections of the town

 
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