As of the latest quoted market data from the supplied draft, MRAM traded around $28.94, down sharply from recent highs but still far above where the stock began its 2026 rally. The stock has become one of the most controversial small-cap semiconductor names of the year as AI-memory hype, defense demand and short-seller pressure collide.
If everyone immediately agrees something is amazing, I’m usually already late.
The more split opinions I see, the more curious I get.
That’s kind of what I’m seeing with TROO right now.
I’ve been noticing a pattern where smaller companies start with one simple business model, then gradually expand until they’re hard to categorize. A lender adds fintech, another adds digital platforms, another starts building out asset exposure. Sometimes it looks like strategic diversification, other times it feels like narrative stacking.
Been watching a few names trying this, including Troops, and I’m curious whether the market usually rewards these transitions or discounts them because the story gets messy.
How do you usually evaluate businesses like this?
Boom and bust cycles caused by retail gambling or news events (shit traders have been modeling for decades). I put retail indicators on a prediction market chart and here’s what I found:
- High volume price levels are tradable and reversions to them happen in volatile and or slow to resolve conditions.
- Smart money (the whales you’re tracking) are moving from similar places that a VWAP gets placed at.
- Tools that are often used to model stock market sentiment are also being used to model backtest-able conditions across resolved markets.
- Emotional Fear/Greed indexes. Retail indicators are the exact thing used for that index.
Here’s what I think can be modeled easily:
- HVN/MA reversion from a fearful area
- High volume MA buy? Buy with them.
- Having a knockout sweep your buy level, that can’t be modeled.. be safe 😂
Here is the cold, hard data on why the current valuation is a complete joke, and exactly when the shorts are going to get trapped.
1. The Insane Enterprise Value (EV) Discount
Market Cap: ~$330M (at ~$5.37/share).
Cash & Short-term Investments: $168.3M (As of March 31, 2026).
Enterprise Value (EV): $161.7M Wall Street is valuing their entire FDA-approved manufacturing facility, their active commercial launch, their new solid tumor T-cell platform (ABO-701), and a functional commercial monopoly at just $161M. Bankruptcy or near-term dilution risk is mathematically 0%.
2. High-Octane Operating Leverage
In Q1 2026, Zevaskyn generated $8.72M in revenue (pulverizing the consensus forecast of $4.62M by over 88%).
The kicker: That $8.72M came from just 3 patients ($2.9M average per patient).
The margins: Cost of sales was only $2.7M, meaning they are pulling a massive ~69% gross margin on their first treatments. With quarterly recurring fixed costs (SG&A + core R&D) stabilized around $22M, their commercial break-even point is just 11 patients per quarter.
3. The Shorts are Trapped in a 22-Day Chokehold
According to official NASDAQ data, the Short Interest stands at a massive 30.64% of the float (16.49 million shares sold short). Because of the low average daily volume, the Days to Cover is a staggering 22.5 days (fintel shows a short volume ratio consistently above 50-60% over the last few days). They cannot squeeze through the exit door quietly.
Timeline of the Squeeze: When does the fuse ignite?
The disconnect exists because we are in a temporary visibility gap: the company has expanded its Qualified Treatment Centers (QTCs) to 6 active sites, but the cash hasn't fully hit the balance sheet yet. The short squeeze is highly likely to trigger in 3 distinct steps this year:
Step 1: The June 2026 Profitability Floor. Management explicitly reiterated on the May 13 call that they anticipate hitting monthly net profitability starting June 2026. Once June prints green, the "cash burn" narrative is dead, creating an unbreakable floor around $5.00 - $5.50. Borrow rates will start eating the shorts alive.
Step 2: The Mid-August Q2 Earnings Trigger. In Q1, all $8.72M came from only 2 active centers. For Q2, management confirmed 1 patient is already treated, 1 is in manufacturing, and 6 more are scheduled/expected for biopsies. That's a pipeline of 7 to 8 patients for Q2, projecting revenue near $20M - $23M. Printing a sequential 100%+ revenue growth will cut the quarterly net loss in half. Algos will buy aggressively, triggering margin calls for weak shorts as soon as we breach technical resistance at $7.50, pushing the stock to $10.
Step 3: November Q3 Capitulation. As their network scales toward 15 active centers by year-end, Q3 will be the first full quarter displaying structural net profitability. Trapped by a 22-day exit timeline, institutional shorts will be forced into a cascading buy-back panic.
Bottom line: Krystal Biotech ($KRYS), their direct competitor with a lifelong chronic application gel, is sitting on a $9.1B market cap. Abeona's curative, one-shot cell therapy just needs to capture a fraction of that execution to reach a $1B valuation, pushing the stock straight to $15+.
The spring is coiled tight. The August earnings will be the catalyst. Positioned before the crowd.
Most of the attention always goes toward the same US names, but some of the Hong Kong-based small caps are actually pretty interesting structurally. Troops, Inc. stood out to me because the business doesn’t seem limited to one sector anymore.
The companies relying entirely on hype tend to fade fast. The ones trying to build actual infrastructure usually last longer even if progress is slow. Troops, Inc. seems to be attempting the second approach.
I've been diving into quantitative finance recently. If you look at algorithmic trading online, it's full of tutorials promising guaranteed returns, usually leaving you with unstructured spaghetti code that falls apart in live markets due to slippage and fees.
I wanted to move away from guessing and build a professional "laboratory" to rigorously test strategies, and then actually deploy them. I open-sourced the resulting infrastructure as a template.
GitHub Repo: https://github.com/cbrincoveanu/algo-trading-template
Full Write-up / Research: Algorithmic Trading with VectorBT and Lumibot
My initial goal was to see if I could find "Alpha" (beat the market) using standard technical analysis on the Magnificent Seven tech stocks. I set up the environment to run hyperparameter optimizations on moving average crossovers. The lab proved exactly what the Bogleheads always say: finding true Alpha is incredibly difficult. Once you account for trade friction (fees/slippage) and avoid the trap of overfitting historical data, a simple Buy & Hold or quarterly rebalancing strategy is incredibly hard to beat.
Even though my complex strategies didn't beat the market, the infrastructure to test them is solid, and I wanted to share it so others can use it for their own research.
The repo provides a fully reproducible environment (VSCode Dev Containers / Docker) broken into distinct phases:
.env credentials).I've included a "Magnificent Seven" simple rebalancing strategy out-of-the-box so you can see how the pipeline works:
notebooks/ folder.strategies/ folder.python run_backtest.py to get an industry-standard tearsheet of your strategy's performance.python run_live.py to deploy the bot.I’d love to hear your feedback, code reviews, or thoughts on what else would make a quantitative template like this useful!
Part of me likes focused businesses because they’re easier to understand.
But another part of me thinks smaller companies sometimes need multiple levers to survive and scale.
Single business dependence can be risky too.
Where do you stand on this?
I haven't seen much out there for the ladies.
Im someone whos been paper trading using an algo bot, im doing kind of okay for now. I use indicators in my strategy like EMA and RSI, when i connected with some traders and told them i use indicators they were like it wont work, most people were being negative about it and someone even said my bot wont work at all. I dont know if these people are real traders but i saw their post in reddit claiming huge P&L's and thats why i texted them.
I never back tested my bot and from people i got to know that i should, but im forward testing on most of the days. Im using SmartAPI to get real time data and my bot has been trading. From data collected from SmartAPI, my bot finds EMA and RSI and also a three bucket rule to choose trades. The bot also collects greeks, volume to find volume buy and sell ratio and also finds that days bias using news, fii/dii flow and where other markets heading and using all these data is my bot running. I have also thought of adding some other things to identify to find buy n sell ratio in market but i couldnt yet and more over i didnt do it because i thought my bots working pretty fine for now.
From the beginning its been working pretty well but the problem was identifying when to sell and i had a hard time because of it, i started manually exiting using commands and i was making profit everyday. The bot is able to find the trend but my logic for selling was poor and it ended up being in red after being in green for long. So i started using trail SL but even that wasnt going so well, i used a 4% behind trail and these hit the SL really fast.
I was running this program in my pc all along, i have to run it my pc in the morning and need to keep my pc on till evening which was a hassle. Two days ago i put in a cloud server where i got some credits for free, idk how itll end up but now its running all the time, i dont have to start it during market hours, itll run on its own. I have enough credits for around 3 months, Im thinking of running it for 3 months and seeing how it goes. All the data is being saved in an excel sheet so after 3 i can analyze and find out what happened ig.
A person who claimed to be making around 50 lakhs every week using his algo said mine wont work at all which kinda made me feel bad, idk if hes actually genuine but im also just trying to earn something. Adding screenshots of my logs before i updated my trail SL problem. Itll run on cloud from tomorrow and im very exited to see. The new logic is when profit hits 10 percent of principle amount, SL is shifted to 7 percent and when profit hits 13% SL is moved to 10 percent and trailing SL turns on with 4% trailing behind. Initially the SL is kept at 15% of principle amount.
Ill add the screenshots below,
from 1 to 7 is when there was i had problem with SL, initially when the trade used to be in green making profits but it never hit target so it went down and hit the 15 percent SL and made loss from that, and when i had implemented trail SL because of only 4% trail there was not enough space for the values to breathe and it would go hit it. After this i implemented manual exit in my bot and when 10 percent of profit was made in each trade i exited thats what the profit you see from 8 to 12. New logic has been added like i mentioned above but i dont think its good enough, any algorithm or any logic suggestion would help.
I collect data like this automatically at entry and exit,
Initially when i started i gave the wrong lot size which led to wrong lot size measurement from quantity so i know the pnl would have some changes but being able to make profit or finding trends regardless of the lot size is impressive i think, forgive me if im wrong. I fixed it now and now its proper, even some trades made in the last three traded days i used proper lot sizes. If you look closely you can see alot of manual exit and most of the manual exit made money and where as alot of trail sl made loss and likewise every data will be collected.
The alerts of taking trades and sending commands is being send through telegram because its free and fast,
Some people before asked me if they can see how it works so i made another channel to send the same messages to that, if anyone is interested i can add you guys for free.
Any suggestion or tip would help alot guys, im hoping for the best from tomorrow.
A lot of small caps pop up, get attention, and disappear from relevance quickly. The ones that survive usually seem to have something a bit more layered beneath the surface.
Not saying TROO is there yet, but the structure is at least more interesting than average.
There’s something more compelling about businesses still defining themselves. Not always safer, obviously, but you get to watch the strategy unfold in real time. TROO is one I’ve been loosely following from that angle.
A ticker can go from completely invisible to everyone suddenly having a take on it within days.
That shift is usually more interesting to me than the price itself.
Been watching how conversations around TROO are slowly becoming less “what is this?” and more “why wasn’t I paying attention?”
If loving D&D is wrong....... I don't wanna be right. This actually helps with the boredom. Really makes it fun! No stress.
Trading is just like a video game. When you're losing in a trade its just like pulling a mob that's too strong to handle. You gotta bail OR DIE. AND YOU KNOW IT. THAT'S YOUR STOP OUT!!!!!! SAME F7CKING THING. WRAP YOUR HEAD AROUND THAT FOR A SECOND. Sorry about the all caps I'll settle down. Anyway. They been fucking with us. But they fucked up. I figured it out. We've all been practicing trading our whole lives. Through video games. The problem with trading is you can't see the enemy. They are all rogues with sneak on. But we can use see invis. (Just math)
CodeFather82
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I built these for you guys. You see one day i was play Zombies with my best friend Johnny. And it hit me. Every video game has an aspect from the market. One way or another. Hit points are your bank roll. Income is regen. It all relates one way or another. Even down to risk management. If your hit points are getting lower at a fast rate. You know to get the fuck out. Same thing. Just like the cat walk on the old Giant map. There's support at the catwalk. Try running through the bottle necks during full spawn. You get smoked. And you know that. So you dont do it.
Anyway. I just put all the normal stuff in and then made it cool.
CodeFather82
Memory stock ETF.
Micron Technology, Samsung Electronics, SK Hynix, plus NAND players like Kioxia and SanDisk. Much safer than picking just one and still capitalizes on all the moves.
Not investment advice, buy you’re welcome.
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