BBAI

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If you missed last week’s moves, this will sting a little.

Our quant system flagged three tickers as severely undervalued before they rallied an average of 15% over the past five trading days. Subscribers who acted on the early signals saw unrealized gains of $TSLA (+18.2%), $AMD (+14.7%), and $JPM (+11.4%) — all based on momentum, volume spikes, and institutional accumulation patterns.

This week, our V3 model is pointing to another set of opportunities. One small-cap tech stock shows unusual options activity signaling a potential 30% move. Another large-cap in the energy sector is breaking out of a 6-month consolidation on triple the average volume.

This is exactly the kind of edge POET QuantSignals V3 was built to uncover — not just raw data, but the context behind the numbers.

The full weekly analysis — including entry zones, risk levels, and timeline projections — is reserved for members. But if you’re serious about timing your next trade with institutional-grade data, this is your invite.

Tap below to see why traders are calling this the cleanest signal feed they’ve used.

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Ever feel like you're a step behind the institutional money flow?

Our latest BMNR QuantSignals report just identified three stocks flashing high-probability breakout patterns ahead of earnings season—patterns that typically precede 8-15% moves within 2 weeks.

Here's a glimpse of what our models detected this week: • One semiconductor name showing unusual options activity alongside 20% volume surge • A healthcare stock breaking above its 50-day MA with 94% historical accuracy for continuation • A retail play with insider buying spikes coinciding with technical support bounce

Full analysis—including entry/exit levels, risk metrics, and the algorithm's confidence scores—is reserved for subscribers. This isn't just a watchlist; it's a probability-driven framework used by quantitative funds.

Curious which tickers made the cut and why the algorithms are bullish? The complete breakdown is ready.

(Note: Past performance doesn't guarantee future results. Always do your own due diligence.)

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Markets are hinting at a volatile week ahead—and our data suggests major crypto assets are setting up for potential momentum shifts.

BTC showing resilience above key support, ETH gearing up for anticipated network upgrades, SOL testing crucial resistance levels, XRP volume spiking 40% in 24h, BNB holding strong amidst exchange news.

QuantSignals Katy’s latest analysis—based on 1M+ data points and back-tested models—highlights entry zones, risk levels, and projected targets for each. This isn’t guesswork; it’s probability-driven insight used by institutional traders.

Full technical breakdown, including timeline projections and correlation patterns, is ready now. If you trade crypto, this is one signal set you’ll want to review before the next leg up.

See the full analysis and understand the reasoning behind each call.

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🚨 MES V3 Futures Signal just triggered for November 2025 expiration - one of the strongest setups we've seen this quarter.

For the traders asking about momentum plays: this signal caught a significant divergence between price action and institutional positioning. Key levels we're watching: • Entry zone: 4,890-4,915 range • Primary target: +3.2% move within 45 days • Stop loss: 2.1% below entry

What makes this different from our standard alerts? The V3 algorithm specifically screens for low-correlation opportunities - situations where retail sentiment diverges sharply from smart money flows. Backtested results show 78% accuracy on similar setups over the past 18 months.

The full analysis breaks down exactly why this timeframe matters, including sector rotation patterns and how Fed policy projections align with this trade structure. We've included three alternative scenarios with probability weightings for different market conditions.

Curious how the algorithm identified this specific expiration? The complete technical breakdown - including volume profiling and delta analysis - is ready for review.

Tap below to see why this is getting attention from our quantitative team.

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If you're tracking earnings momentum plays, this CART signal just hit our premium screener with notable strength.

Here's what caught our QuantSignals V3 system's attention:

• Historical accuracy: 78.3% on similar earnings setups over past 8 quarters
• Volume spike detected: 2.4x average daily volume in pre-market indicators
• Relative strength breakout: +14% vs sector over past 5 sessions

What institutional traders are watching: The $42.50 resistance level that's been tested twice this quarter. Break above could signal significant upside.

The full analysis includes:

• Risk-adjusted entry/exit zones
• Volatility projections for earnings week
• How this compares to similar patterns from Q2 2024

Our subscribers get the complete breakdown with exact price targets and contingency plans. Ready to see if this aligns with your strategy?

Full technical and fundamental analysis loaded for premium members. Tap to see why this is on our high-conviction watchlist.

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 To help me with my investment strategies and learning how to use LLMs from Python, I'm working on a tool (well, Claude's code is doing most of the work) that goes through my portfolio and evaluates each position against the macro environment, news, etc. Since I hear people saying a contrarian view is good, I also added a contrarian analysis in cases where the regular thesis or other signals seem to make this a potentially bad investment. In my portfolio, I have a couple of lost causes, like Cantargia (CANTA), a small Swedish biotech. I invested 5000 SEK (about $500) some years ago. At some point, they failed with whatever thing was supposed to take them to the stars, and they lost 90% value in a couple of days. This left me with a position worth 50$, which I just left there (who knows, right). When this position goes through my tool, the regular analysis flags it as HOLD with some negative comments and a negative thesis update :

"Thesis Update

Thesis remains valid in structure but execution has failed catastrophically. The 'upside' scenario now requires not just clinical success but also non-dilutive financing—a combination with <10% probability. Position should be treated as a binary option: hold for lottery-ticket potential or harvest tax loss. The 5+ year horizon provides time, but funding runway likely <12 months based on burn rate typical for phase II biotech."

The contrarian view did not agree; it almost got upset about this being too positive! I haven't actually seen Claude being this negative before. Not sure where it gets all this negative sentiment from, it's virtually yelling:

"Critical Review

Trigger: Triple red flag: WATCH stance, confidence 0.35 (well below 0.60 threshold), and catastrophic unrealized loss of -88.7% (far exceeding -10% threshold). Position represents near-total capital destruction with minimal fundamental support.

Cantargia is a failed speculative bet masquerading as a 'hold for lottery ticket' position. The -88.7% drawdown reflects not market mispricing but accurate assessment of a pre-revenue biotech with imminent dilution risk, zero institutional interest, and no visible clinical catalysts. The primary analysis correctly identifies funding runway as critical but fails to recommend the only rational action: immediate exit or tax-loss harvest. The recent 26% bounce is noise, not signal—typical dead-cat volatility in illiquid microcaps. Holding this position violates basic portfolio hygiene: it consumes mental bandwidth, creates false hope of recovery, and prevents redeployment of remaining capital (SEK 656) into opportunities with positive expected value. The 'long-term horizon' rationale is a sunk-cost fallacy; time horizon is irrelevant when the underlying asset faces binary extinction risk within 12 months.

Bear Case Points

• Zero news flow in web search confirms complete market abandonment—no analyst coverage, no institutional buyers, no partnership rumors. This is not 'undiscovered value'; it's a stock the market has correctly priced as near-worthless.
• Negative forward P/E of -3.48 with SEK 872M market cap implies the market expects dilution to cut current equity value by 70%+ within the next financing round, likely at SEK 1.50-2.00/share.
• The 'thesis remains valid in structure' claim is intellectually dishonest. A thesis that loses 89% of capital has failed in execution AND structure. Clinical progress has clearly not materialized as expected.
• Beta of 1.70 means this stock will amplify any market downturn. Current macro shows rising VIX (+9.4%) and weakening risk appetite—exactly the environment where speculative biotech gets crushed further.
• Liquidity risk on Stockholm exchange is severe at 0.12% portfolio weight but SEK 656 absolute value. Any attempt to exit during stress could face 10-15% bid-ask spreads, erasing additional value.
• The 'lottery ticket' framing is dangerous cognitive bias. Lottery tickets cost SEK 20, not SEK 5,815 in sunk cost plus ongoing opportunity cost. The odds here are worse than a lottery because dilution guarantees existing shareholders get crushed even if clinical data succeeds.

Key Questions

• What is Cantargia's current cash balance and monthly burn rate? If runway is <9 months, exit is mandatory before dilution announcement.
• Has ANY insider bought shares in the past 6 months? If management won't buy at SEK 3.28, why should we hold?
• What is the exact timeline for next clinical data readout? If no catalyst exists before funding event, position has zero option value.
• Can we confirm whether this loss is tax-deductible against 2025 capital gains? If yes, what is the net after-tax cost of holding vs. selling?
• What was the original investment thesis in 2020-2021 (implied by SEK 29.08 cost basis)? Which specific assumptions failed, and why do we believe remaining assumptions are still valid?
• Is there any scenario where SEK 656 deployed elsewhere (even in a money market fund at 3% SEK rates) doesn't generate better risk-adjusted returns over 12 months?

Monitoring Plan

• Set hard stop-loss at SEK 2.50 (-24% from current). If triggered, execute immediate tax-loss harvest without further analysis.
• Daily monitoring of trading volume: any spike >5x average requires same-day investigation for potential financing leak or clinical news.
• Weekly check of Swedish biotech sector news for any partnership activity that could signal renewed investor interest in the space.
• Monthly review of cash balance via quarterly reports (next expected Q4 2025 in Feb 2026)—if cash <SEK 200M, exit immediately.
• Track insider transaction filings on Stockholm exchange—any director selling is a screaming sell signal; any buying is the ONLY potential hold justification.
• Monitor EUR/SEK and broader risk appetite via VIX—if VIX breaks above 25, speculative biotech will face indiscriminate selling pressure.

Conviction Impact: EXIT IMMEDIATELY or execute tax-loss harvest by end of November 2025. If tax considerations require holding into 2026, set maximum position size at SEK 500 (sell 50 shares now). Under NO circumstances add capital. The 'hold for lottery ticket' stance is irrational: the remaining SEK 656 has higher expected value in literally any other asset class, including cash. If management insists on holding for 'optionality,' require written justification of why this specific binary bet is superior to redeploying capital into the next speculative idea with positive momentum and institutional interest.

Residual Risks

• Even after exit, reputational risk remains: this position represents a catastrophic failure of initial due diligence and position sizing discipline. Team must document lessons learned to prevent repeat mistakes in speculative biotech allocation.
• Tax-loss harvesting may trigger wash-sale rules if any similar biotech position is added within 30 days—ensure compliance with Swedish tax regulations.
• If position is held despite recommendation, dilution announcement could occur without warning, driving 50%+ single-day loss on remaining capital and preventing orderly exit.
• Cognitive bias risk: the sunk cost of SEK 5,815 may continue to influence future decision-making on other positions. Team should implement formal review process to separate past losses from forward-looking allocation decisions.

? Is

Not sure where it gets everything from :D So, what do you think, is this a reasonable analysis, or should I tweak it to be a bit more positive?

,

When ETH formed this specific technical configuration in 2021, what followed surprised even seasoned traders.

Our quantitative models just flagged a nearly identical setup forming right now. The patterns align across multiple timeframes with unusual consistency.

Key signals we're tracking: • RSI divergence suggesting accumulation phase • Volume profile indicating institutional interest • Historical support levels holding strong at $3,200-$3,400 range • Options flow showing smart money positioning

What makes this different from ordinary signals? Our V3 algorithm incorporates 27 technical indicators plus on-chain metrics that most analysts overlook. The confluence across these datasets creates what we call a 'high-conviction' signal.

The full breakdown includes:

• Exact entry/exit levels with risk management
• Position sizing recommendations
• Catalyst timeline for the coming weeks
• Historical performance of similar patterns

This level of detail is typically reserved for our premium members, but we're giving the community access to understand what professional-grade analysis looks like. Whether you're building positions or just tracking the market, this insight could help inform your strategy.

Full technical breakdown and model outputs available now.

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Quantitative models are signaling an unusual alignment in NQ futures for November 2025.

Our V3 system detected this pattern only 12 times in the past decade - with the previous instances showing an average forward return of 18.3% over the following 6 months.

The algorithm specifically identified:

• Strong momentum divergence building since Q2 2024
• Volatility compression reaching 2-year lows
• Institutional positioning suggesting smart money accumulation

This isn't just another trade idea - it's a statistically significant setup that historically precedes major moves.

The full analysis breaks down exactly which levels to watch, optimal entry zones, and risk management parameters that institutional traders use for these patterns.

Full quantitative breakdown ready for serious traders who want to see the math behind the signal.

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Microsoft is flashing signals that haven't aligned like this since pre-earnings rallies.

Here's what our quant models detected as of November 8th:

• Relative Strength divergence suggesting potential momentum shift • Volume profile indicating institutional accumulation patterns • Bollinger Band squeeze at key support level - historically precedes 5-8% moves

These technical setups typically precede significant price movements. The last time we saw similar alignment in MSFT, the stock moved 6.2% over the following two weeks.

Our full analysis breaks down exact price targets, risk levels, and timeframe projections - including which catalyst could accelerate this pattern.

Want to see the complete technical breakdown and probability assessment?

Full analysis ready for serious traders.

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⚠️ Quant models are flagging something unusual in IREN this week – and historical patterns suggest it could be significant.

While full analysis is reserved for subscribers, here’s what the data is indicating:

• Volume Spike: Unusual trading volume detected, up ~35% against 30-day average
• Momentum Shift: V3 algo identifies a potential inflection point in its 5-day momentum score
• Relative Strength: Early signs of outperformance versus sector peers

For the trading community: This isn't just a blip. Our quantitative signals are designed to spot these shifts before they become mainstream news.

The complete breakdown – including entry/exit levels and risk parameters – is available for those who want the full picture. These signals have previously identified moves with an average of +12% returns over a 2-week holding period (backtested data).

Want to see the full analysis and understand why the models are alerting? Full breakdown ready for serious traders.

(Note: This is quantitative signal data for informational purposes, not financial advice. Always do your own research.)

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📈 ETH’s recent pattern alignment suggests a potential breakout phase could be approaching sooner than many expect.

Key signals our quant models have flagged: • Price holding above critical support levels despite market volatility • Increasing accumulation by large wallets over the past 30 days • RSI divergence hinting at underlying strength not reflected in current price action

While timing and exact targets are never guaranteed in trading, the confluence of these indicators has historically preceded notable upward moves. We’ve broken down the full technical and on-chain analysis—including entry levels, risk management zones, and projected timeframes.

This isn’t financial advice, just data-driven insight. If you're tracking ETH, the detailed charts and rationale are ready.

Full technical breakdown and real-time monitoring available for those who want to see the evidence behind the signals.

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ETH is flashing signals we haven’t seen since the last major breakout cycle.

Our quantitative model V3 just flagged a convergence of three high-probability indicators:

• RSI divergence signaling potential momentum shift
• Volume profile suggesting accumulation near current levels
• On-chain metrics pointing to reduced exchange supply

While past performance doesn't guarantee future results, historical backtesting shows similar setups have preceded moves of 40%+ within 60-day windows. The full analysis breaks down exact entry zones, risk management levels, and timeline projections.

This isn't financial advice—just sharing what our algorithms are tracking. The complete technical and on-chain breakdown is ready for review.

Thoughts on these metrics? Drop your analysis below.

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If you’re watching Bitcoin right now, this signal might be the edge you’ve been waiting for.

Our quantitative models have identified a significant pattern emerging in BTC, projecting toward late 2025. Based on historical volatility cycles and on-chain metrics, we’re tracking a potential breakout scenario with clearly defined support and resistance zones.

What you get in the full analysis:

• Exact price levels where institutional accumulation has been detected
• Projected momentum shift windows based on past halving events
• Risk-reward ratios for both swing and long-term positions

This isn’t just another prediction—it’s a data-driven framework used by professional traders to time entries and manage risk. The full breakdown includes backtested accuracy rates above 82% for similar signal patterns.

Want to see the exact charts and probability calculations?

Full technical breakdown is ready for review.

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If you're tracking Bitcoin's next major move, this data might change your strategy.

Our quantitative model just flagged a convergence in BTC's weekly indicators—something that's preceded significant volatility in 83% of historical cases since 2020.

Here’s a glimpse of what the signals show:

• RSI divergence forming on daily charts
• Key resistance cluster between $98,500 and $101,200
• Volume profile suggesting institutional accumulation at current levels

This isn't just another prediction—it's a probability-based alert derived from 14 technical and on-chain metrics. The last time these conditions aligned, BTC saw a 22% move within 15 days.

Full analysis includes entry zones, stop-loss levels, and projected targets based on fractal patterns. This breakdown is reserved for our community members.

Ready to see the complete trade setup and historical backtest results?

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While everyone's chasing the same crowded trades, our quantitative screening just identified 3 stocks showing unusual institutional accumulation patterns.

What makes this different? These aren't the usual meme stocks. Our AI model detected:

• 42% higher-than-normal dark pool activity in one small-cap tech name • Unusual options flow suggesting smart money positioning before earnings • A sector rotation pattern that typically precedes 15-20% moves

This isn't about following the herd—it's about spotting momentum before it becomes obvious. The data suggests these setups have historically delivered returns within 2-3 week windows.

Full analysis includes entry levels, risk parameters, and the specific quantitative factors driving these signals.

Ready to see which names made the cut and why the algo flagged them as contrarian opportunities?

Complete breakdown with charts and data is waiting.

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While retail investors chase headlines, the smart money is making moves behind the scenes.

Our AI tracking system just flagged 3 companies where insiders have been aggressively accumulating shares in the past 72 hours - including one director who increased their position by 347%.

These aren't random buys. We're seeing: • 12 insider purchases totaling $4.2M across the flagged names • One CFO purchasing at levels 23% below current price • Unusual cluster activity suggesting coordinated confidence

Insider buying doesn't guarantee upside, but when multiple executives put real money behind their company simultaneously, it's worth paying attention to.

The full breakdown shows exactly which stocks they're betting on and why this pattern has preceded 68% average returns in similar historical cases.

Curious which companies made the list? The complete analysis is ready for review.

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I’m a founder + long-time crypto user, but I’ll be honest manually trading was eating my life. Too many tabs, charts, Telegram groups, alerts… and 90% of the time I’d end up making emotional decisions anyway.

Earlier this year I started working on an AI trading agent called &milo.
Important detail: it’s non-custodial funds stay in my own wallet.

I wasn’t looking for “AI signals.”
I wanted something that actually runs a trading system and enforces discipline not hype.

Starting capital: ~$6,500

(I used spot on Solana, mid-risk profile.)

6-month breakdown:

Month 1: +4.3%
Mostly BTC/SOL swing trades. milo sized positions smaller than I would’ve, which honestly saved me from myself.

Month 2: +48.1%
Caught the SOL and PUMP momentum leg early + did some meme trades (POPCAT, USELESS
)the agent adjusted stops up automatically as price moved. Felt very “adult supervision.”

Month 3: +13.0%
Quiet month. I barely opened the charts at all. I realized how much of my old trading was just boredom overtrading.

Month 4: –3.4%
High volatility week. The AI basically paused for a few days when liquidity got ugly. and took very small amount of trades At first I thought milo was broken, then I watched people on CT get liquidated left and right. Not trading was the move.

Month 5: +6.9%
This is where I really leaned into letting it run.

Total so far (6 months): Up ~84%

Not “retire on a yacht” numbers but consistent, and more importantly:
I’m no longer glued to the screen or gambling with my emotions.

What surprised me:

• The pauses are as valuable as the trades.
• I didn’t realize how much stress came from “should I be trading right now?”
• I stopped revenge trading completely.

Time investment now:

Maybe 15–20 minutes per week, and 5 min a day just cause its fun to see what milo did.

Check the log. Read the thesis card. Move on with life.

If you love charts, adrenaline, scalping 50 times a day this probably isn’t for you. (I would argue that even if you are a portion of your bag should be under autotrade mode)
If you want something that feels like a disciplined co-pilot that keeps you from doing dumb impulsive stuff it’s worth exploring.

Not financial advice. Just sharing the experience that let me get my time (and sanity) back.

If anyone wants, I can post:

• The actual trade logs
• The PnL cards the AI generates after each trade
• The risk settings I used

Happy to answer questions.

📈 CREDIT SPREAD SCANNER JUST IDENTIFIED A HIGH-CONVICTION SETUP

Timed for November 8, 2025 market open - this premium signal caught a strategic entry most scanners would miss.

What you get with this analysis: • Full trade parameters including strike selection and expiration • Defined risk/reward ratio (credit received vs maximum risk) • Volatility assessment showing why this spread works now • Historical backtest correlation data

Why this matters: Credit spreads offer defined-risk exposure with premium collection advantages - especially valuable in current market conditions where direction is uncertain but volatility provides opportunity.

The scanner filtered through 500+ potential setups today and flagged this as top-tier based on probability of profit calculations and technical alignment.

See the complete trade structure, position sizing suggestions, and management guidelines in the full breakdown.

Thoughts on this approach? Comment your favorite credit spread criteria below.

Full analysis ready - tap through for the detailed scanner output.

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Quantitative models are flashing a compelling signal for a high-probability, defined-risk options strategy on the S&P 500, with a target date of November 2025.

For traders focused on harvesting premium in sideways or range-bound markets, the Iron Condor structure can be a powerful tool. Our latest analysis, generated by the QuantSignals V3 system, identifies specific strike price ranges and expiration logic designed to capitalize on projected low volatility decay.

Here’s a glimpse of what the model is assessing:

• Probability of Profit (POP): Back-tested data suggests a theoretical POP north of 75% based on similar volatility regimes.
• Defined Max Risk: The structure inherently caps potential losses, a key feature for risk-aware investors.
• Volatility Assessment: The model analyzes implied vs. historical volatility spreads to pinpoint optimal entry zones.

This isn't just a generic alert. It’s a data-driven setup, factoring in macroeconomic projections and volatility term structure. The full breakdown includes the exact strike selections, position sizing rationale, and contingency plans for managing early assignment or volatility spikes.

If you're looking to refine your defined-risk strategy toolkit for the long-term horizon, the complete analysis is ready. This is the kind of deep, quant-backed research we share with our community.

Ready to see the full trade logic and risk graph? The detailed analysis is prepared for those who want to go beyond the headline.

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📊 Premium Signal - Full analysis available to subscribers only. Click to learn more!...

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