Firo (FIRO) Price Prediction: What Will FIRO Price Be in 2032?

Saw a pretty solid price prediction for Firo (FIRO) on Pump Parade and thought it was worth sharing the TL;DR and key takeaways. Firo is a privacy coin, and its whole value proposition is tied to the growing demand for financial anonymity.

What is Firo?

In simple terms, Firo wants to be true digital cash. While you can trace Bitcoin transactions, Firo uses a privacy protocol called Lelantus Spark to break the links. You can "burn" your coins and redeem brand new ones with no transaction history. The goal is total privacy and control over your financial data.

The Investment Thesis: Privacy vs. Regulation

This is a classic high-risk, high-reward play.

• The Bull Case: As governments explore CBDCs (Central Bank Digital Currencies) and financial surveillance increases, the demand for tools that protect privacy could absolutely skyrocket. This is the main catalyst.
• The Bear Case: Regulators are not fans of privacy coins. The single biggest threat to Firo is being delisted from major exchanges, which would cut off liquidity and mainstream access.

Firo is currently a volatile micro-cap (around $45M market cap), so expect wild price swings. It's not an asset for the faint of heart.

Firo (FIRO) Price Prediction by 2032

The article broke it down into three long-term scenarios. This isn't a guarantee, just a framework based on potential market developments over the next decade.

• Bearish Scenario: $0.50 - $2.00

  • Why: A global regulatory crackdown succeeds. Firo gets delisted from major exchanges, development stalls, and it fails to gain traction.

• Base Case: $15.00 - $30.00

  • Why: The crypto market continues its overall growth. Firo successfully navigates regulations, maintains its niche, and is respected for its solid tech.

• Bullish Scenario: $100.00 - $200.00

  • Why: Privacy becomes a paramount issue for crypto users. A major event (like widespread CBDC adoption) creates a massive surge in demand, and Firo captures a significant share of the privacy coin market.

What to Watch For

If you're interested in Firo, these are the key factors that will determine its fate:

• Regulatory News: This is everything. Any hint of a coordinated crackdown or exchange delistings is a major red flag.
• Competition: Firo has to keep innovating to stay relevant against giants like Monero (XMR) and Zcash (ZEC).
• Real Adoption: Look for signs that people are actually using Firo for private transactions, not just speculating on its price.
• Tech Security: The privacy protocol has to remain bulletproof. Any exploit would be catastrophic.

Basically, investing in Firo is a pure bet on the long-term demand for digital financial privacy. It's a powerful narrative, but the road ahead is full of challenges, especially from regulators.

As always, this is not financial advice. Do your own research.

EverHint Signal — Momentum Swing: Aggressive Momentum — November 21, 2025

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What This Signal Is (Quick)

This is the Aggressive Momentum flavor of the Momentum Swing scanner. It is designed to hunt for stocks that are already running hard and are being pushed by strong institutional participation: high momentum, high volume, and high volatility all at once.

The signal is a breakout continuation setup. We are not buying dips here – we are looking for names pressing up near their highs, with volume running well above normal and price trending strongly above key moving averages. The intended holding window is short to medium term, roughly one to four weeks, and the risk level is explicitly high. This is an experimental scanner , not a polished production model.

In other words: this screen is meant for traders who are comfortable with fast moves, gap risk, and sharp reversals, and who use strict risk management and clear exit rules.

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How We Ranked Today (Reader Version)

For November 21, 2025, the Aggressive Momentum screen surfaced one qualifying symbol :

• EXAS (Exact Sciences Corporation) in the Healthcare sector.

The strategy-level guidance recommends ranking by the composite score (0–1), with RSI as a global default where available, and falling back to liquidity measures like adv20 when RSI is absent. For today’s run:

• Only one symbol passed all filters, so it is effectively ranked first by default.
• Liquidity is exceptionally strong: EXAS trades roughly 700 million USD in 20-day average dollar volume.
• Volume thrust today is more than 2.3 times the 20-day norm, which is a textbook aggressive momentum characteristic.

Overlays used in the interpretation:

• Insider flows over the last 90 days (net buying vs selling).
• Days to the next earnings event.
• Analyst coverage and forward estimates.
• Overall market context from the indices , VIX , yields , and crypto.

Signals are provided for educational use and back-testing , not as trade recommendations.

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Today’s Top Signal Table

Single-signal day, sorted by the strategy’s composite ranking framework and liquidity characteristics.

Rank	Ticker	Company	Sector	Last ($)	Vol Thrust	% of 52W High	Score (0–100)	Market Cap	Insider Net (USD, 90d)	Days → Earnings
1	EXAS	Exact Sciences Corporation	Healthcare	100.90	2.37x	100%	0	19.1B	-$1.3M	89

Key numeric notes based on your data:

• EXAS closed at 100.90 USD , sitting right at 100 percent of its 52-week high.
• Volume thrust ≈ 2.37x , meaning volume is over 130 percent above its 20-day average.
• Market cap is roughly 19.1 billion USD.
• Composite score is currently 0 on a 0–1 scale (0–100 after scaling). That reflects the model’s present calibration rather than the absence of momentum in price.

Insider activity:

• Over the past 90 days, your insider file shows only sales transactions (S) and no open-market purchases.
• Aggregating purchases minus sales per your rules, EXAS shows about 1.30 million USD in net insider selling , a mild bearish overlay that does not negate the technical breakout but adds caution on the fundamental sentiment side.

Earnings calendar:

• Next earnings for EXAS in your calendar are scheduled for 2026-02-18 after market close (amc) , about 89 days after the 2025-11-21 signal date.
• That places earnings in the “distant event risk” bucket: not an immediate catalyst for this 1–4 week swing window, but relevant for anyone considering holding longer.

Analyst estimates:

• For the nearest fiscal year in your estimates file (ending 2025-12-31), consensus EPS is still negative (around -0.70 USD), with eight analysts contributing to the forecast and revenue estimates in the low-to-mid billions.
• Out in later years (2026 and beyond), average EPS estimates turn positive and trend higher, suggesting a transition story where the market is increasingly pricing in improving profitability rather than current earnings alone.

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Field Notes

Some quick context on why EXAS is being picked up by an Aggressive Momentum screen:

• Strong momentum and trend structure
  • Price is sitting at new 52-week highs.
  • The short and medium moving averages from your file (ma10, ma21, ma50, ma200) show price extended well above the 50-day and 200-day lines, consistent with a powerful upside trend rather than a mean-reversion zone.
• Volume and liquidity
  • Volume thrust above 2.3x is exactly what you would want to see in an aggressive breakout: it implies broad participation and potential institutional involvement rather than a thin, retail-only spike.
  • Liquidity, measured by adv20_dollars ≈ 700M USD , makes it more practical for larger swing positions and reduces some execution risk.
• Volatility profile
  • Your vol63 metric is elevated, which is expected in this strategy: the scanner is explicitly looking for high volatility names where price can move meaningfully over a one to four week window, at the cost of larger drawdowns if the move fails.
• Fundamental and insider overlays
  • The insider tape is net negative ~1.3M USD over the last 90 days, driven by open-market sales. That is not unusual after a strong run, but it is still a soft yellow flag.
  • Analyst consensus in your estimates file points to improving medium-term EPS trajectory , even though near-term EPS remains negative. This is typical of growth diagnostics stories where the market cares as much about future cash flows and strategic positioning as about current earnings.
• News catalyst backdrop
  • Recent news flow has been dominated by Abbott’s move to acquire Exact Sciences in a cash deal around 105 USD per share , valuing the company at roughly 21–23 billion USD including debt , according to the companies’ joint press release and subsequent coverage. (Reuters)
  • Headlines from multiple outlets highlight EXAS as a leader in cancer screening and precision oncology diagnostics, with products like Cologuard and Oncotype DX forming the strategic rationale for the deal. (Reuters)
  • This sort of large, strategic acquisition is exactly the kind of catalyst that can turbo-charge a momentum setup, but it also changes the risk profile: price action may increasingly be anchored by the deal terms rather than pure technicals.

Taken together, EXAS fits the template of a high-liquidity, high-volatility breakout name that has just been hit by a major corporate event.

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Vlad’s Take (EverHint)

Today’s market backdrop, as of November 21, 2025:

• The S &P 500 gained about 0.7 percent , the Nasdaq Composite about 0.5 percent , and the Dow Jones Industrial Average nearly 1.0 percent , while the Russell 2000 small-cap index popped roughly 2.7 percent. That points to a risk-on tone with small caps leading , which generally supports momentum swing setups.
• The VIX closed near 23.4 , down almost 10 percent on the day, but still in the elevated volatility zone rather than calm conditions. Treasury yields, via the 10-year (^TNX), eased slightly, while Bitcoin and Ethereum pulled back around 1.5–2.2 percent.

Given this backdrop, the Aggressive Momentum screen landing on a single name like EXAS makes intuitive sense: the market environment is supportive of risk, small caps are outperforming, and one high-profile corporate event is sucking in a lot of attention and volume.

From a practical trading standpoint:

• EXAS is trading right at its 52-week highs , on 2.3x volume , after a big M&A headline. That is the textbook definition of a crowded, high-energy tape.
• The upside narrative is clear: strategic acquisition, long runway in cancer diagnostics, improving forward estimates, and a strong technical trend.
• The risk side is equally clear: deal uncertainty, headline risk, notable insider selling over the last quarter, and the possibility that price spends time chopping around the deal price rather than trending cleanly.

For an aggressive swing trader, this kind of setup usually calls for:

• Tighter stops and smaller position sizing than a normal momentum trade, given the elevated VIX and corporate event risk.
• A clear time horizon: once the post-deal volatility fades or the price action starts to compress near the offer price, the edge for this strategy diminishes quickly.
• Zero expectation that this is “safe” money – it is a deliberately high-risk, high-reward niche inside your broader toolkit.

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Independent, data-driven signals.
No hype. No promotions. Just experimental market research from EverHint.

This is not financial advice. Do your own due diligence.
See https://www.everhint.com/disclaimer/ and https://www.everhint.com/faqs/

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Read the full article on EverHint.com

Weekly Playbook: November 24th - Market Overview

Key Takeaways This Week

• NVDA pulled the trigger and took the entire market with it, turning a clean earnings beat into a bloodbath
• Key indexes tagged their support zones on Friday and delivered a sharp rebound that reminded everyone buyers still exist
• The VIX signal finally materialized, which means pullbacks can be bought, but stops still matter more than the signal itself
• A holiday shortened week shifts Black Friday from markets to retailers
• Last week’s movers: HD, PDD, GOOGL, NVDA and AVGO
• Earnings to watch this week: ADI, BABA, DELL, WDAY and DE

https://preview.redd.it/6iryq7nehw2g1.png?width=1024&format=png&auto=webp&s=58930265d9df1e15d77cedf4dab4f96d4bf7c074

1. Market Overview

The week opened with a market that already looked uneasy before Nvidia even spoke, and by midweek it finally cracked. What should have been a straightforward setup for follow through buying turned into another reminder that bears are alive and kicking. Stocks slid almost 2% across the major indexes, Bitcoin sliced below the 85000 key support area like nothing was there and dragged sentiment with it, and the Nasdaq logged its weakest stretch since early summer as traders bailed on anything tied to AI or high beta. The irony was that the biggest event of the week delivered everything bulls wanted and still failed to rescue the tape. When a market sells good news this aggressively, it is telling you something about positioning, not fundamentals.

Nvidia’s earnings were the centerpiece and they lived up to the hype. Revenue up 62% year over year to 57B. Data center revenue up 66% to 51.2B. Guidance near 65B for the January quarter excluding China entirely. Networking sales surging 162% year over year. Blackwell already sold out. Cloud GPU capacity fully booked. Growth accelerating for the first time in almost 2 years. The kind of quarter that would have melted faces in any other cycle. Yet by the next morning the Nasdaq was down more than 2% and the stock gave back its post earnings spike almost immediately. That was not a verdict on Nvidia. It was a verdict on a market that has been leaning too hard on a single narrative for too long.

The concern is not about Nvidia’s numbers. Those were exceptional. The concern is about everything orbiting it. AI capex continues to expand at a pace that forces credit markets to absorb rising debt loads faster than revenue catch up. The Bitcoin slide amplified margin pressure on the speculative end of the tape. And the broad selloff following Nvidia’s blowout showed that the trade is now struggling under its own weight. Investors are questioning whether the AI cycle can maintain its current velocity without hitting a wall of financing constraints. And with Bitcoin tumbling more than 10% on the week, the risk off tone found a convenient accelerant. Crypto weakness rarely stays contained. It bleeds into liquidity pockets that broader markets quietly depend on.

By Thursday, the tape cracked in familiar places. The volatility spiked toward 26, the highest since April. Profit taking in the high valuation AI names became wild. Some traders blamed forced unwinds linked to the Bitcoin drawdown. Others pointed to exhaustion after a year of concentrated leadership with too many investors clustered in the same trades. Either way, the market finally behaved like one that remembers gravity.

And yet, as always, the other side showed up quickly. Friday’s session saw nearly 80% of S&P 500 constituents finish green as supportive commentary from the New York regional president reignited hopes for a December cut. The rebound did not erase the damage, but it did show buyers have not vanished. They are just not willing to chase strength anymore. The tape now trades like a battleground between dip buyers defending every 10-20 point slide and sellers of strength fading every bounce. Strategists call it violently flat. Sharp intraday swings. No real directional resolution. A market that wants to go somewhere but cannot pick a direction until the next catalyst forces its hand.

The Fed sits in the background of all of this, even if it made no policy moves. Odds of a December cut fell early in the week and then doubled within 48 hours after the New York regional president signaled room for further adjustment. A delayed jobs report that beat headline expectations with 119000 new jobs but weakened underneath added to the uncertainty. Unemployment rose to 4.4%. Prior months were revised lower. Wage signals softened. The economy still tracks near 3% to 4% quarterly growth, but the policy fog thickened as officials split between those warning against early easing and those arguing that restrictive conditions are biting harder than the headline data suggests. And with markets closed for Thanksgiving and no fresh CPI or jobs report before the December meeting, traders remain stuck navigating with incomplete information.

This is happening alongside global liquidity shifts that deserve more attention. Japan’s currency weakness and rising bond yields open the door to potential intervention. Any move to stabilize the yen near 160 would require selling Treasuries, withdrawing dollar liquidity at a moment when Western deficits are already testing supply. The market is not priced for liquidity tightening from abroad, but the setup is there if Japanese policymakers decide the currency slide has gone far enough.

All of this lands in a market entering late November with seasonal tailwinds but poor momentum. The S&P 500 is on track for its weakest November since 2008, an uncomfortable stat in a year defined by concentration and narrative dependence. Earnings season is basically done. Roughly 95% of companies have reported. More than 80% beat EPS estimates. Roughly 75% beat on sales. Yet price reactions remain lifeless. The good news has been sold. The bad news is getting amplified. And the one company capable of resetting sentiment just delivered a monster quarter that the market shrugged off.

So the question now is whether Nvidia’s results eventually calm the tape or whether this week was the first real sign that the AI trade is maturing into something less forgiving. The AI infrastructure buildout is still accelerating. There is no evidence that hyperscalers are slowing purchases. But when Bitcoin drops more than 10%, volatility spikes and the market sells off after the cleanest set of numbers of the entire quarter, it is clear the balance has shifted. The next move will be about positioning more than valuation, and the tape knows it.

On the bright side we finally got a proper VIX signal, and this time it actually triggered:

https://preview.redd.it/ria27axhhw2g1.png?width=1170&format=png&auto=webp&s=ac5e96c01dab49b6f17043d92a7200fc4db5b964

On Thursday both SPX and VIX closed outside their bands, the exact setup required to start the sequence. On Friday both closed back inside, completing the pattern and confirming the signal. That matters because most of the time the market only brushes the setup, front runs it, or misses by a fraction. This one printed cleanly.

It is a powerful technical reversal signal. It often marks the point where fear exhausts itself and price starts to recalibrate. But like everything else in markets, it is still a probability setup. Nothing is guaranteed in this business. Even the best signals fail, and even the cleanest bottoms can be followed by several more. There is still a non zero chance this bottom simply joins the list of recent ones as we continue the slow staircase lower, and trying to guess which bottom is the bottom is usually the fastest way to meet the next one unprepared.

That is why it is usually safer to buy the next pullback rather than chase the first bounce. Let the market test the signal. Let the tape prove it. And above all, mind your stops, know your risks, and remember that this is a marathon, not a 100x sprint and early retirement story.

Read the rest: https://priceactionplaybook.substack.com/p/weekly-playbook-november-24th

Bitcoin (BTC) Price Prediction: What Will BTC Price Be in 2042?

Ever wonder what your portfolio will look like in 2042? Looking back from the future, will buying Bitcoin today be seen as a genius move or a FOMO-driven mistake? Let's cut through the short-term noise and look at some grounded, long-term predictions.

TL;DR: Bitcoin Price Prediction for 2042

• Bear Case: $50,000 - $150,000. Bitcoin stalls, faces heavy regulation, or gets outpaced by a competitor. It remains a niche speculative asset.
• Base Case: $400,000 - $750,000. This is the most probable path. BTC solidifies its role as "digital gold" and becomes a standard part of investment portfolios.
• Bull Case: $1,000,000+. Hyperbitcoinization. BTC transcends digital gold to become a global reserve asset, likely driven by a loss of faith in major fiat currencies.

So, how do we get these numbers?

It really boils down to one core concept: provable scarcity. There will only ever be 21 million Bitcoin. Meanwhile, governments can print their currencies into infinity.

Every four years, a "halving" event cuts the creation of new BTC in half. We have four more halvings between now and 2042. This creates a massive supply shock over time. Combine that with the growing demand from spot ETFs and institutional investors, and you have the classic recipe for price appreciation.

A Quick "Back-of-the-Napkin" Valuation

The easiest way to think about this is to compare Bitcoin to Gold (currently a ~$15 Trillion market). By 2042, there will be about 20.8 million BTC in circulation.

• If BTC captures 25% of Gold's market: ~$180,000 per BTC
• If BTC matches Gold's market cap: ~$721,000 per BTC
• If BTC doubles Gold's market cap (becomes a reserve asset): ~$1,442,000 per BTC

As you can see, these simple scenarios line up pretty well with the predictions.

What Could Go Wrong?

Of course, this isn't a guaranteed straight line up. The journey will be volatile as hell. The biggest risks are:

• Regulation: A coordinated global crackdown is the number one threat.
• Technology: An unforeseen bug or the rise of quantum computing could pose a risk down the line.
• Competition: Another crypto or a state-backed digital currency could steal its thunder.

It's smart to keep an eye on institutional ETF flows and the global regulatory landscape. You can track things like market trends and on-chain data on sites like pumpparade.com to stay on top of the big picture.

The main takeaway here is to zoom out. The daily and weekly charts are just noise in the grand scheme of things. This is a long-term game based on a powerful economic thesis.

What do you all think? Is the $750k base case realistic, or are we headed for the bull or bear scenario?

Kia ora team — need your input for a proper NZ Bitcoin event 🇳🇿⚡️

I’m helping organise the Auckland Freedom Forum for Waitangi Weekend 2026 — a Bitcoin + culture event hosted partly on a marae with global speakers, workshops, and proper Aotearoa flavour.

Before we lock anything in, can you take 60 seconds to fill this out?

👉 https://docs.google.com/forms/d/e/1FAIpQLSczDbmkcu6FctLYqMivnH7qK_aBROF-FKqpVV6DN8iinKCARg/viewform

Asking: • What you’d actually pay • What would make it worth attending • Who you want to hear from • What kind of experience NZ Bitcoiners prefer

Keen to build something world-class here, not overseas. Appreciate any input 🙏

Venice.ai | Year In Review: 2025

https://preview.redd.it/zok7s0hsjn2g1.png?width=1264&format=png&auto=webp&s=dc219a65eed9117eb0c6a00c9b36257ad3960f19

as we're getting towards the end of the year, i thought it'd be a good time to look back at everything that's happened in venice in 2025.

here's a month-by-month breakdown of how we got where we are now and all of the work the team at venice.ai have put in over the last year.

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JANUARY: New Year, New Token!

https://preview.redd.it/b0mmlnbwkn2g1.png?width=652&format=png&auto=webp&s=e6023f699e8803bd66430c77726cb28500de69ad

Venice kicked off 2025 with the launch of VVV token on the Base network on 27th January. On release of the token 25 million VVV were distributed to over 100,000 early Venice users! The token enabled a novel staking model for API access, aligning the platform with decentralised economics. The staking system granted pro-rata shares of daily API capacity. All of this followed the earlier Pro-user release of the Deepseek R1 70B model, which was notable for its visible reasoning process.

The chat app itself was tuned so conversations with lots of images were less sluggish and an indicator was added when a non-default model was selected. A web-enabled toggle appeared in the chat input, and non-Pro users could now at least see what chat and character features exist. the public characters grid was refreshed visually and character image loading was sped up. There were improvements to the API like support for multiple system prompts and larger image limits,

tldr:

• $VVV token launched on base, with a large community airdrop and staking-for-API design
• Private API access
• Characters update with a web-search toggle and local-storage visibility for pro users
• UI fixes: reduced lag in image-heavy conversations and an indicator for non-default models, character grid refreshed visually, image loading sped up.

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FEBRUARY: vision, in-painting, voice & web search

https://preview.redd.it/w0ybnkltpn2g1.png?width=573&format=png&auto=webp&s=e269e960bd40f4132685aba1fc17114d77908252

Early in Feb, inpainting (beta) was pushed out which allowed text-guided edits on generated/uploaded images with an LLM generating masks and a diffusion model doing the actual inpaint. The feature was then temporarily restricted while stability and performance issues were ironed out and the upscaler was moved to a real-esrgan backend.

On the model side, Qwen 2.5 VL 72B landed for pro users in both web app and API, giving “look at this image and reason about it” capability. The sticker factory (beta then opened more broadly), API web search, and serious work on venice voice. Encrypted backups went out to Beta testers and Venice Voice (text-to-speech) rolled from internal testing, to beta and was clearly positioned as a top-requested feature on the Featurebase. the team also shipped an endpoint so autonomous agents staking VVV can mint their own API keys without human involvement!

tldr:

• image inpainting (beta) launched and performance issues were worked through
• Qwen 2.5VL 72B multimodal model added for pro users (vision in app + API)
• sticker factory rolled out from beta to broader access
• API web search released, plus Deepseek-focused optimisations in the web UI
• Venice Voice (tts) moved from internal testing then to beta, laying groundwork
• new endpoint for autonomous, VVV-staking agents to create their own API keys

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MARCH: Shipping SZN!

https://preview.redd.it/hj9eqndbun2g1.png?width=575&format=png&auto=webp&s=4baca296de6400d154dceaecbd88fbf13e12e48e

Ahh, March was definitely a 'shipping season' for Venice with a lot of infrastructural and feature rollouts. There were over 5 changelogs this month! On the API side, crucial consumption limits were introduced for API keys, allowing users to cap usage per epoch in either USD or legacy VCU credits via both the dashboard and the API. The Venice Voice feature exploded in popularity, processing over a million sentences within 24 hours of its beta and becoming fully available by late March, with its text-to-speech voices exposed through the models endpoint.

For Pro users, a major privacy feature was launched in the form of encrypted chat backups for all users, enabling them to export, encrypt with their own password, and restore conversations across devices, with the changelog detailing the specific encryption and chunking scheme. The platform’s model offerings also matured with the addition of the dedicated Deepseek Coder V2 Lite and an upgraded Qwen VL 72B, while system prompts were specifically tuned to reduce over-censorship issues in Qwen and Mistral models. The month ended with a “Venice is Burning” blog post and the burning approximately $100 million worth of unclaimed VVV tokens.

tldr:

• Per-key consumption limits (in USD or VCU) added for API keys in UI + API
• Venice Voice TTS went from beta to full rollout in the API with configurable voices
• Encrypted Chat Backups for Pro users (password-based, chunked, cloud-stored)
• Deepseek Coder v2 lite and updated Qwen VL 72B added and system prompts tuned to reduce over-censorship
• Airdrop window closed and $100m in unclaimed VVV burned

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APRIL: New Backend & Image Engine v2

April with no fools!

This month was about strengthening the foundations of Venice and levelling up images. Mistral 24B became the default general model for everyone and brought multimodal support. A new backend service took over auth, image generation and upscaling to make the app faster and more scalable. Conversation forking and a “jump to bottom” control landed making long chats easier to manage and character moderation was streamlined with quicker approvals and better tooling.

Around the middle of April Venice Image Engine v2 went live. Venice SD35 replaced fluently as the new default image model, paired with a new upscale & enhance pipeline for higher-quality, more detailed outputs. Pro users gained edit-history for conversations, public characters got a rating system, and chat inference was fully migrated to the new backend.

By April 27th. the infrastructure migration was effectively wrapped, adding bulk chat deletion, smoother wallet connect flows, and an openai-compatible image endpoint with json_object response format and Venice-SD35 set as the default image model in the API.

tldr:

• Mistral 24B became the default multimodal chat model for all users.
• Conversation Forking and “Jump to Bottom” were added for better chat navigation.
• Venice Image Engine v2 launched (Venice SD35 + new Upscale & Enhance pipeline).
• Pro users could edit conversation history; public characters gained ratings.
• Backend migration was completed, with bulk chat deletion and an OpenAI-compatible image API + json_object support and venice-sd35 as the api default.

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MAY: New Model Paradigm, Search v2 and Simple Mode

May, the birthday month of the greatest Reddit Mod to ever exist in history of the interwebs!

So, for my birthday month, the whole model lineup was reset and the platform was streamlined. The “New Model Paradigm” introduced five curated categories: Venice Uncensored, Venice Reasoning, Venice Small, Venice Medium, and Venice Large, replacing the older cluttered list. Dolphin Mistral 24B Venice Edition became the flagship uncensored model, and Llama 4 Maverick arrived as a big-context, vision-enabled large model.

Not long after this, Maverick and Llama 3.2 3B were retired from the main app in favour of Qwen3-235B as Venice Large and Qwen3-4B as Venice Small... Deepseek’s removal pushed back to the end of the month and the old inpainting implementation deprecated while a new version was designed. Pro api access also changed: the 'Explorer' tier was retired and new Pro sign-ups moved to a one-off $10 API credit with a bunch of API fixes (EXIF preservation on upscale, openai-style embedding names, json support for upscale/enhance).

Then along came Venice Search v2! This was a full overhaul and it now built search queries from chat context, injected richer results and showed only citations actually used in the answer, across both app and the API. The app also started auto-resetting temperature/top-p when you switch models, tagging 'w/ web search' on responses that included search, and routing shorten/elaborate through the current model instead of the original one.

Pro users got access to 'Simple Mode', which auto-routes between text, images and search without needing to pick a model or mode, plus a full 'enhance any image' flow and the HiDream Image model as a high-adherence option.

Other features added towards the end of May included a hover-state on images, mobile share fixes, HiDream negative prompts disabled, multi-image support for Qwen VL and Character options to hide model 'thinking' in character chats.

tldr:

• Introduced the New Model Paradigm with five core categories.
• Added Dolphin Mistral 24B (Uncensored) and Qwen 3-235B as flagship models.
• Launched Venice Search V2 with contextual citations.
• Added Simple Mode for Pro users and the HiDream image model.
• Retired old inpainting and Explorer API tier; improved API and embedding endpoints.

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JUNE: Stability, Performance and Embeddings

https://preview.redd.it/jc4ilmym4o2g1.png?width=455&format=png&auto=webp&s=c15abcdc0883fa79ee963c5f6e24436cc97482d0

June was mostly about reliability and scale. The first week focused on stability. Images now appear in the UI as each variant finishes, a timer and clearer statuses were added to the Upscaler, and the old code-specific section of the web app was removed to simplify things.

On the API side, Upscale/Enhance got clearer error messages, top_logprobs support landed on Chat Completions and the API keys list endpoint was optimised for heavy users.

The big headline was context and safety. Venice Large’s context window was expanded from 32K to 128K both in app and API, the default image model switched from Venice SD 3.5 to HiDream, and search responses started showing inline citations. Safe-Mode options were consolidated into a single 'Mature Filter' (optionally pin-protected), there was a new setting to mask personal information in the UI and a run of hallucination/formatting bugs were addressed, especially for reasoning models and long sessions. Mid-month added a public embeddings endpoint, plus a new model-name field on the models list, while Flux Custom was updated and the Fluently & SD3.5 image models were formally retired.

By the end of June, a latency timer appeared on messages, support for HEIC images arrived for Vision & Upscaling, and a few annoyances like pasted images overwriting text or file-upload errors were all cleaned up.

tldr:

• Images and upscales now stream into chat as they complete, with better timers and error states; the separate “code” section of the app was removed.
• Venice Large’s context window increased to 128K tokens; HiDream became the default image model.
• A unified 'Mature Filter' (with optional pin) and a privacy setting to mask personal info were introduced.
• Embeddings endpoint launched, Flux Custom was upgraded, and Fluently + SD3.5 image models were retired.
• Latency timer, HEIC support and further image rendering/upload fixes landed at the end of the month.

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JULY: Inpainting Returns and Venice goes Social

July arrived with a mixed big creative upgrades with more polish around routing and feedback. the month opened with image editing (inpainting) returning for pro users, now powered by Flux Kontext Dev with natural language editing for inpainting, style changes, composition tweaks and lighting/colour adjustments.

Simple Mode’s reliability was improved, Venice Uncensored was bumped to a 1.1 version with better tone control and ethical reasoning and legacy coder models (Qwen Coder and Deepseek Coder) were removed after their deprecation period. all references to Venice Compute Units were updated to use DIEM terminology.

Next week - the 2nd week of July - saw the launch of the Venice Social Feed, users could share image generations to a public feed, browse other users generations, upvote/downvote, save posts, reuse prompts and follow favourite creators. Character listings were updated to highlight highly-rated Characters, subscription management moved inside the app and the edit-image API (with url support) was exposed.

By mid-July, tokenised DIEM was formally introduced to the community (ahead of the august launch), thumbs up/down ratings were added to responses, and a notification bell appeared for social interactions, alongside small quality-of-life fixes like preserving EXIF data and smoothing subscription management.

Late July, Venice Large was upgraded to a newer Qwen 235B variant, Venice Small’s context was increased to 40K, and 'auto mode' launched as the default for new users, automatically routing prompts between models and modes. model settings moved into a dropdown attached to the chat input, a consolidated settings menu arrived in the left nav, thumbs-based result ranking and better system-prompt visibility were added, and power-user details like auto-tags on social posts, better bulk deletion, better content violation messaging and per-image regeneration all shipped in the same wave.

tldr:

• Image editing/inpainting came back for Pro, powered by Flux Kontext DEV.
• Venice Uncensored was upgraded to v1.1; legacy coder models were removed; “VCU” was fully renamed to Diem.
• Venice Social Feed launched with share/browse/follow, voting and saved prompts.
• Tokenised Diem was announced to the community, and thumbs up/down ratings were added to responses.
• Auto Mode became the default for new users, Venice Large and Small were upgraded, and a big batch of app/api UX improvements shipped.

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AUGUST: Mobile Apps and Tokenised DIEM Launch

https://preview.redd.it/t9a8xji2fp2g1.png?width=610&format=png&auto=webp&s=be94bb1182d64935a344c12388c70d68d2b143d0

August was a heavy month for tokenomics and reach. First, the Venice mobile apps for iOS and Android were released. The team announced final parameters and launch timing for tokenised DIEM: a target supply of 38,000, a base mint rate of 90, 10,000 DIEM minted by Venice itself and an annual VVV inflation reduction from 14m to 10m starting on launch. anime-specialist image model Anime Wai went live for pro users, and Qwen Image was added as a high-quality general image model tuned for speed and prompt adherence.

On 20 August, tokenised DIEM actually launched with a redesigned token dashboard and a clear deprecation policy + tracker for older models. API pricing for several chat models dropped significantly (Venice Small, Venice Uncensored, Venice Large) and a full deprecation list mapped older models to recommended replacements, including timelines for Deepseek-R1, Llama-3.1-405B, Dolphin-2.9.2-Qwen2-72B, Qwen-2.5 image/code variants, SD3.5 and flux models. Featurebase the web app got improved global chat search across titles, messages and attachments.

Late August went into September with an emphasis on efficiency and polish: Qwen Image got a Lightning Lora that roughly halved generation time and pinned CFG/steps for more consistent results. Latex rendering, image copy behaviour and printing were refined, Qwen Edit became the default for inpainting, Wallet Connect was upgraded; and the Social Feed gained better handling for non-square images, downloads and a 'My Posts' tab. API-side, stricter tool parameter validation, deprecation headers, character photo urls, a Character Details route and support for multiple image variants per API call were added.

tldr:

• Venice launched native mobile apps for iOS and Android.
• Tokenised Diem went live with new tokenomics, reduced VVV inflation and a refreshed dashboard.
• Anime WAI and Qwen Image were introduced as key image models.
• API pricing was cut across several core chat models, and a formal deprecation tracker/model-mapping was published.
• Qwen Image performance improved, Qwen Edit became the default inpainting model, and the social feed + api got multiple quality-of-life upgrades.

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SEPTEMBER: API efficiency and prep for Venice v2

September focused on efficiency and polish ahead of the Venice V2 transition. API usage pricing was restructured to make inference more affordable across major models, including Venice Small, Uncensored, and Large. Qwen Image Lightning LoRA became the default, halving generation time and improving prompt consistency.

The app received several refinements: improved LaTeX rendering, smoother zoom and copy behaviour for images, and better wallet connection handling. The Social Feed gained support for non-square images, a 'My Posts' tab, and one-click downloads. On the API side, deprecation headers, tool parameter validation, character photo URLs, and multi-variant image generation were added.

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OCTOBER: HUGE Month - Venice V2.

https://i.redd.it/eorfkog6so2g1.gif

October then arrives and its one of the most eventful months of the year.

By this point there are over 1.300,000 users on Venice that are enjoying the benefits of private, uncensored AI, and over 1,000,000 Venice API calls from developers are happening every single day.

The #1 most requested feature by users has been video generation. Venice delivered and then some. Not only did Venice Video get released with text-to-video, but with image-to-video capability too but the main surprise was that it contained some of the biggest models in the world. Venice Video launched to Beta users and later Pro users with Sora 2, Veo 3.1, Wan 2.2 A14B Sora 2 Pro, Ovi, Veo3 Fast, Veo3 Full, Wan 2.5 Preview, Kling 2.5 Turbo.

One thing the team needed to figure out was what to do about these models that hoover up your data. The models are not hosted by Venice, but Venice anonymises your data before sending it to the provider. Here is what the development team said about it:

Note that when using these models, the companies can see your generations. Your requests will be anonymized, but not fully private - the generations are submitted by Venice and not tied to your personal information. The privacy parameters are disclosed clearly in the UI.

The only data the provider could see (if they wished to, for whatever reason), is your prompt data. They have no way to tie it to your identity in any way. If you are sharing something sensitive its recommended to stick to fully private models.

A new credit system was built to enable scalable economics of video generation:

• $1 = 100 credits
• 1 DIEM = 100 credits per day
• Credit balance = (USD paid + DIEM balance)*100

On the API side, model lineup was expanded by adding three new large models in beta (Hermes Llama 3.1 405B, Qwen 3 Next 80B, and Qwen 3 Coder 480B) and retired the legacy 'Diem' system for credits.

All API inference is now billed via staked tokenised DIEM or USD.

There is a channel in the Venice Discord server for video generation and some of you have already created some incredible content using these models within Venice. If you're not already in the Discord, you should consider joining to talk directly to the team and chat, share, and learn from and with over 7,000 other Venice users. It is a welcoming place and people are always willing to share prompts, ideas, apps and websites they've built using the API, and show off their generations.

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The team wrote a development update to share all the latest information on whats been happening, and whats to come over the next couple of months or so.

Big upgrades coming to our tokenomics and mechanics:

➢ October 23rd: VVV emission reduction from 10M/yr to 8M/yr
➢ Early Nov: Start VVV buyback & burn based on October revenue
➢ Later in Q4: continued vertical integration of VVV into Venice V2

See more: October Development Update

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The Venice Support Bot debuted as an AI assistant built into the UI, capable of answering FAQs, fetching documentation, and escalating support tickets automatically.

Remix Mode (which auto-generates creative variants of your last image), Spotlight Search (Cmd/Ctrl+K for fast conversation lookup), and a toggle for Enter key behaviour were all added. Character chats gained a context summariser to maintain coherence over long sessions. The API introduced three Beta models: Hermes Llama 3.1 405B, Qwen 3 Next 80B, and Qwen 3 Coder 480B. Legacy VCU billing was officially retired in favour of DIEM and USD credit systems.

tldr:

• Introduced Venice Video (text-to-video and image-to-video).
• Added the Venice Support Bot for instant in-app help.
• Added Remix Mode, Spotlight Search, and chat Enter-key toggle.
• Character chats gained a context summariser.
• Added new beta models (Hermes Llama, Qwen 3 Next, Qwen 3 Coder).

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NOVEMBER:

https://preview.redd.it/n0vc2hrdfp2g1.png?width=456&format=png&auto=webp&s=24bcdc37009053beab4bc10a0aa63b1406fea8da

In November 2025, Venice team continued to expand its capabilities with new models and features.

The GLM 4.6 model (developed by Zhipu AI) was added for Pro users, delivering a high-performance option for reasoning and creative tasks. The response to this model was probably the most overwhelmingly positive I've seen on this subreddit. It had some quirks here and there and almost got taken back out fo public release and put back into Beta, but the positivity surrounding it despite its faults is what kept it public. The team worked on fixing the model while it was available and everyone was understanding and supportive of it so that was cool.

Dolphin Mistral 3.2 (a new model in beta) was added in. The older Flux models were retired. The team worked on removing the safety filters from Wan 2.5 to allow more open-ended generations. A major new capability was the launch of Webscraping which allows users to include any URL in a prompt and the system will fetch and use the page content as context.

The app received a bunch of interface improvements notably a redesigned Library for managing generated content and the ability to adjust settings when regenerating videos, support for HEIF image uploads, GitHub-style markdown table rendering in chat, automatic URL detection in prompts, and even speech-to-text via Automatic Speech Recognition (ASR) in the mobile app.

Another feature that I am sure will be welcomed is Venice Memoria (beta) which is an optional long-term memory system for more coherent long conversations. Anoher addition is shareable character link functionality to easily share custom characters with others.

Later in the month, the team announced a significant upcoming model update: the large Qwen3-235B model will be split into two specialised variants (one “thinking” with full reasoning, and one “instruct” for faster responses) starting mid-December, accompanied by a 50% reduction in usage pricing for the model family.

Several cutting-edge image models – Nano Banana, Nano Banana Pro, and Seedream V4 were just added too. They are proprietary image generators from Google and ByteDance accessible on Venice via the pay-per-use credit system (or using the DIEM token for access).

TL;DR: Hello present day!...

• GLM 4.6 (a high-benchmark model by Zhipu AI) was introduced for Pro users, Dolphin Mistral 3.2 was added in beta, and the Veo 3 video model was reintroduced. In parallel, older Flux generation models were retired and the Wan 2.5 model’s safety check was lifted for more open generation.
• Scrape web pages for context – users can include a URL in their prompt and the content of that page will be fetched and used as AI context automatically.
• A new Library interface launched for browsing one’s creations, and numerous UI improvements were made (eg. video re-generation controls, support for HEIF image uploads, GitHub-flavoured markdown tables in chat, automatic URL detection in prompts, etc.).
• The mobile app was also updated with features like Automatic Speech Recognition for beta testers.
• Memoria (in beta) was introduced as a long-term memory feature to improve the AI’s continuity over lengthy chats, and character share links were added to let users share custom characters via a simple link.
• An official update announced that the big Qwen3-235B model will split into two distinct models on December 14, 2025, alongside a 50% cut in its pricing to $0.45/$3.50 per 1M tokens.
• Added three advanced image generation models - Nano Banana, Nano Banana Pro, and Seedream V4 - available on a pay-per-use basis. These “frontier” models (from Google and ByteDance) can be accessed via DIEM tokens, expanding the platform’s image creation capabilities.

And that's the lot for 2025!

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November had some new little things for the subreddit too which I may as well add here:

NEW MODERATOR

we have a new Moderator here on the subreddit that you've probably seen around helping out here and there! He is great and super helpful and definitely helps take some of the load off. His username is u/MountainAssignment36. So if you need anything then feel free to contact me or the mountainman!

VENICE CEO ACTIVE ON r/VeniceAI

Erik Vorhees / u/evorhees himself hopped on the subreddit in November and revived his Reddit account that hadn't been active for a few years. He responded to a post here. I added a user flair to his account so you know that its legitimate.

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I know its a beast of a post and most of you probably won't read the whole thing but you can skim through to see just how much the team has got through this year. This isn't every single minor fix, but it's all the major updates and new features. As you can see, the dev team has been absolutely relentless, barely letting up the entire time.

Now the focus shifts to Venice v2 and beyond.

I can't spill the beans just yet because of confidentiality, but the second i'm allowed to share what's coming next, i'll post it here as always. i'll be back to add december's updates to this post once we're there.

Keep an eye out for changelogs here on the subreddit, on Venice Blog and Featurebase, and join the Discord to join the team and 7,000+ Venice users.

Take care Venetians!

BITMINE IMMERSION TECHNOLOGIES, INC. Annual Report Released - Here’s What You Should Know

Bitmine Immersion Technologies, Inc. FY 2025 Investor Summary

Company Overview
Bitmine is a U.S.-based digital asset technology company focused on acquiring, holding, and managing digital assets, primarily Ethereum (ETH), with flexible exposure to Bitcoin (BTC). The business model shifted in mid-2025 away from proprietary mining and infrastructure services toward an ETH-centric treasury strategy and related consulting/services.

Key Financial Metrics
- Total assets at August 31, 2025: $8.80 billion (vs. $7.28 million at Aug 31, 2024), driven mainly by the ETH treasury. - Digital Asset Holdings (as of Nov 20, 2025): $8.28 billion, comprised of 1,874,927 ETH ($8.26 billion fair value) and 192 BTC ($20.9 million fair value). - Revenue (FY2025): $6.1 million (up 84% from $3.3 million in FY2024)
- Mining equipment sales: $846k - Self-mining: $3.13 million - Leasing: $1.88 million - Consulting: $235k - Cost of Sales (FY2025): $5.79 million (up 67% from $3.47 million in FY2024) - Operating Expenses (FY2025): -$443.9 million (net reduction due to unrealized gain from digital assets) - General/Admin: $14.0 million - Warrant expense: $349.0 million (Strategic Advisor) - Unrealized gain from digital assets: ($805.0 million) - Net income attributable to common shareholders: $328.2 million (vs. FY2024 net loss of $3.29 million) - Basic EPS: $13.60; Diluted EPS: $13.39 (vs. $(1.32) prior year) - Cash and equivalents (Aug 31, 2025): $512.0 million (vs. $499k prior year) - Working capital: $503.0 million - Accrued liabilities: $8.9 million (notably, $3.4 million of digital asset management fees and $1.4 million of equity management fees) - Share count: 234.7 million shares outstanding as of Aug 31, 2025; 384.1 million as of Nov 20, 2025 due to at-the-market issuances

Liquidity & Capital
- Raised $7.7 million net in June 2025 public offering; $230k in July 2025 private placements/prefunded warrants; over $7.16 billion subsequent ATM sales (through Nov 2025). - No outstanding preferred stock as of Aug 31, 2025; substantial increase in common stock via capital raise. - Material cash requirements over next 12 months: ~$1.5 million (maintenance capex), ~$1.0 million/month (services, leasing, advisory), $4.0 million/year (public company costs). - No material off-balance sheet arrangements.

Strategic & Operational Highlights
- Business reoriented to ETH treasury and ecosystem services. - Began significant ETH accumulation in 2025 as part of business pivot; now largest corporate ETH holder (over 1.87 million ETH). - BTC exposure: 192 BTC at year-end; legacy mining operations winding down. - Revenue model now includes leasing, consulting, and service fees not present in prior period. - Board and management expanded to support growth.

Risks
- Significant market risk due to exposure to ETH and BTC prices; ETH market volatility directly affects results given large on-balance sheet position. - Structural reliance on continued access to equity capital—share dilution possible as indicated by large share issuances in 2025. - Regulatory risks vary across jurisdictions; evolving U.S. and international regulation could impact operations, assets, or liquidity. - Operational risks around digital asset custody/security, concentration in few counterparties, and advanced blockchain smart contract/Layer2 vulnerabilities. - Material weaknesses reported in internal control environment (noted deficiencies in control design, risk assessment, and monitoring); remediation underway but risks remain. - Consulting agreement with Ethereum Tower LLC: ~0.25-1% annual fee (potentially >$20 million/year at current treasury valuations) on digital assets managed; non-cancellable, may impact OPEX.

Other Notables
- No significant unresolved SEC staff comments. - No material adverse legal or cybersecurity events reported in FY2025. - Announced $0.01/share dividend (declared Nov 19, 2025, payable Dec 2, 2025).

Conclusion
Bitmine transitioned into a digital asset treasury and service model centered on ETH, achieving a dramatic scale-up in assets and reported earnings due largely to the appreciation of digital assets. While the strategy has delivered large unrealized gains and liquidity, it introduces high market volatility/price risk, and continued heavy reliance on equity issuance. Internal controls require improvement. Investors should closely track digital asset price trends, equity dilution, and regulatory developments.

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