What's next for $XRP ? | Bounce back or Dump lower?
- Based on the current setup, I expect a potential bounce from the 1.380 -1.4000 demand zone, with the price likely to retest the resistance at 1.4305 first. If that breaks, next stops could be 1.4642 and 1.4935.
- If price sweeps below 1.3775 but quickly reverses, that’s a classic smart money entry for longs. Wait for bullish confirmation (pin bar, bullish engulfing, or higher low on lower timeframes), enter around 1.4100, target 1.4305 and 1.4642, with stop-loss at the swing low (below 1.4000 or 1.3775 depending on your entry).
- If price strongly rejects from 1.4305-1.4642 with bearish confirmation, shorts can target 1.3775, but only if structure breaks on the lower timeframes.
- My bias remains cautiously bullish as long as the price holds above 1.3775 and especially above the most recent low at 1.3124. If price closes decisively below 1.3775 and fails to reclaim, bias flips to bearish aiming for 1.3421 and possibly a sweep of 1.3124.
🐋 2.6x Sell Volume Spike on $PIPPIN , distribution or shakeout?
- After this major volume spike and sudden drop, I expect further downside is likely unless price can reclaim and hold above 0.85000 with strong buying.
- My bias is bearish. Smart money appears to be distributing or triggering liquidations after trapping late longs above the most recent high.
- Short setup example: If price retests the 0.85000–0.86000 zone and forms a strong bearish pattern (engulfing, pin bar, or breakdown on 5m/1m), a short entry could be taken with targets first at 0.825, then 0.80708, 0.77516, and stretch targets at 0.76460 or 0.73086. Stop-loss should be placed above the most recent swing high on the 15m chart.
- If price breaks and holds above 0.86834 with momentum and volume, I would cancel the bearish bias and look for signs of a bullish reversal, potentially targeting 0.90000 and higher.
- Always wait for confirmation: On breakdowns, look for lower timeframe continuation (bearish flags, breakdowns with volume), and on bounces, look for failure/rejection at resistance. #MarketRebound #pippin #TrendingTopic #JaneStreet10AMDump
- I expect the price to FALL further in the short-term due to strong distribution-style volume, bearish indicator alignment, and the break below recent support.
- If price retests 1.61476 and shows bearish confirmation (like a strong rejection wick, lower high, or bearish engulfing on 5m/15m), a short trade setup could be taken with first target at 1.41385, then 1.24572, and a final target zone at 0.85181 if the move extends.
- Wait for confirmation: ideal examples are a pin bar rejection at 1.61476, a lower high on 5m/15m timeframes, or a sweep above a minor high that fails (showing liquidity grab).
- Place your stop-loss at a swing high above the entry (for example, above 1.72 or the most recent local high after the rejection).
- If price regains 1.7140-1.75 with strong bullish momentum and closes above, or shows a sudden V-shape recovery with volume, step aside — this could signal the end of the dump and a return to bullish structure.
MUST READ: How I Hedge Crypto Futures Risk with Gold and Silver (futures Tips)
Crypto futures aren’t for everyone — but if you’re already in the market and understand volatility, they can be a powerful tool when used correctly. I’ve been using Binance Futures not to “gamble bigger,” but to manage exposure smarter, especially during uncertain macro cycles.
Most people enter futures thinking about leverage first. That’s the wrong starting point. I treat futures as a risk management layer on top of spot holdings. If I’m holding BTC or ETH long-term and the market starts showing short-term weakness (funding overheated, resistance rejection, macro pressure), I don’t rush to sell spot. Instead, I open a small short hedge on Binance Futures.
The idea is simple:
🔥Spot position = long-term conviction 🔥Futures position = short-term protection
For example, if I hold $10,000 worth of BTC spot and see downside risk in the coming weeks, I might open a 20–30% sized short on BTC perpetual. If price drops 10%, my spot loses value — but the short gains and softens the impact.
Now here’s where TradFi comes in.
When structured properly, it feels less like trading and more like balance:
- If crypto trends higher → spot does the heavy lifting. - If crypto pulls back → the futures hedge absorbs part of the shock. - If broader risk sentiment deteriorates → metals like XAU and XAG help stabilize overall volatility.
On the Binance Futures side, a few habits made a real difference for me:
I stick with ian solated margin when hedging. It keeps positions contained and prevents one mistake from affecting the whole account.
Leverage stays low — usually 1x to 3x. Hedging with high leverage defeats the entire purpose of risk control.
And I never hedge 100% of my position. At that point, you’re effectively neutral while still paying trading costs
Everything you should know about Bitcoin DCA with Auto Invest in 2026
If you’ve been in crypto long enough, you’ll realize something uncomfortable: most losses don’t come from “bad projects,” they come from bad timing and emotional decisions. People wait for a dip, miss it. They buy a breakout, then panic when it retraces. After repeating this cycle a few times, you start to understand that consistency beats prediction — and that’s exactly where DCA quietly outperforms most short-term strategies.
Instead of asking whether Bitcoin is “cheap” or “expensive” this week, I prefer asking a different question: Am I building exposure in a structured way? That mindset shift is what makes Auto Invest useful. What DCA Actually Does (Beyond the Textbook Definition) DCA isn’t about avoiding volatility — it’s about using volatility to your advantage without needing to time it. When price drops, your fixed amount buys more BTC. When price rises, you still accumulate, just at a smaller quantity. Over time, the entry price becomes blended across multiple market conditions. Here’s a simple 6-week example using BTC DCA at $100 per week:
Total invested: $600Total BTC accumulated: 0.01135 BTC Average entry price ends up being naturally smoothed instead of concentrated at one emotional decision point. Notice something important: the biggest accumulation happens when price drops. But because the system is automated, you don’t need courage in that moment — the plan executes for you. Why Auto Invest Is More Powerful Than Manual DCA Many people say they will DCA manually, but in practice, they skip purchases during fear and double up during hype. Automation removes that psychological weakness. With Auto Invest: The amount is predefined.The frequency is fixed.The execution is automatic.There’s no “Should I wait?” debate every week. In volatile markets, that consistency is an edge. How I Structure a BTC Auto Invest Plan
The key is not adjusting the plan every time the market moves 5%. DCA works because it ignores short-term noise. Common Mistakes Beginners Make Stopping DCA during sharp corrections (which defeats the purpose).Increasing allocation aggressively during hype cycles.Expecting short-term profits from a long-term accumulation strategy.Cancelling the plan after 1–2 red weeks. DCA is boring by design — and that’s why it works. Final Perspective In 2026, narratives will rotate faster than ever — AI tokens, L2 upgrades, on-chain trends, new cycles. Bitcoin, however, remains the base layer of crypto liquidity and institutional interest. Building exposure slowly through Auto Invest is less exciting than leverage trading, but far more sustainable for most newcomers. You don’t need to predict the next breakout.
You need a system that keeps buying when you don’t feel like buying. That’s the difference between reacting to the market and building within it.
BREAKING: Jane Street just deleted every post from their official X account
JaneStreetGroup account now shows 0 posts (joined 2018, 12.1K followers). This lines up with the timing of the Feb 23 Terraform Labs lawsuit alleging insider trading/market manipulation tied to the 2022 Terra collapse. Jane Street called the suit "desperate" but hasn't addressed the posts
BREAKING: $CRCL , the company behind USDC stablecoin, is up 18.6% pre market, adding $3.18 BILLION in market cap in just 3 hours after strong Q4 earnings.
- The trend is bullish, and momentum plus indicators all point higher. I expect the price to first target 0.2581, and if that gets cleared, the next logical target is 0.2639.
- A healthy pullback into the 0.2476–0.2521 demand zone would offer the best long entry, especially with a bullish confirmation signal.
- If price closes below 0.2369, especially with heavy selling, this bullish bias would be invalidated and I’d expect a deeper retrace toward 0.2318 or lower.
- Look for strong bullish candles, pin bars, or quick reclaim wicks for confirmation before entering a position.
Trade $CRV with good profit here 👇🏼 #crv #BTCDropsbelow$63K #crypto #TrendingTopic
- Given the indicator strength and recent bullish momentum, I expect DOGEUSDT to RISE in the near term, targeting first 0.10439, then possibly 0.11757 if bullish momentum continues.
- A long setup is favored above 0.10000 with confirmation. If price fails at 0.09760, turn cautious and watch for a possible bearish reversal
Jane Street is being sued over crypto insider trading that accelerated LUNA Terraform’s collapse 🔥
Here's a timeline of what happened 🤯 The Backchannel (2018 - Feb 2022) > Jane Street signs a direct trading pact with Terraform Labs. > Jane Street deploys Bryce Pratt, a former Terraform intern, to bridge the gap. > A private comms channel is established between Pratt and Terraform’s core engineers. Non-public data begins flowing to Jane Street under the guise of "investment discussions." The Strike (May 7, 2022) > 17:44 EST: Terraform quietly drains $150M in UST from the Curve3pool. > Less than 10 minutes later, Jane Street, allegedly tipped off via the backchannel, front-runs the collapse by pulling $85M from the same pool, escaping before the peg breaks. The Manipulation (May 8 - May 9, 2022) > Do Kwon publicly dismisses the drain as a "liquidity move." > While the public holds the bag, Pratt messages Kwon to bid on Bitcoin/LUNA at a discount. > Jane Street allegedly leverages intel from Jump Trading to stay on the profitable side of the de-peg. The Reckoning (2024 - 2026) > Terraform enters bankruptcy; Todd Snyder is appointed to claw back billions. > Do Kwon receives a 15-year sentence (Dec 2025). Recent Filing > Snyder files a redacted complaint in Manhattan federal court against Jane Street, co-founder Robert Granieri, and employees Bryce Pratt and Michael Huang, seeking damages for alleged insider trading and market rigging. #LUNA #LUNC #TrendingTopic #crypto
Michael Saylor's $MSTR has surged to the #1 position globally for short interest.
This comes as investors aggressively bet against the company following approximately $7 billion in unrealized losses on its corporate treasury holdings denominated in BTC. {future}(BTCUSDT) {future}(MSTRUSDT) #mstr #StrategyBTCPurchase #BTCDropsbelow$63K #crypto
Michael Saylor's $MSTR has surged to the #1 position globally for short interest.
This comes as investors aggressively bet against the company following approximately $7 billion in unrealized losses on its corporate treasury holdings denominated in BTC. #mstr #StrategyBTCPurchase #BTCDropsbelow$63K #crypto
After the February 6 flush into 63,000, BTC printed appears to be a major swing low. Despite weeks of choppy consolidation, sellers have failed to produce continuation or retest the lows with momentum. That lack of downside pressure suggests absorption rather than distribution.
The recent price action is establishing and confirming a higher low — a critical structural shift. If 60K was true capitulation, then this region becomes the base for expansion.
As long as price holds above 61,500 on a weekly closing basis, the bias favors upside continuation. A reclaim of 69K would likely accelerate momentum toward prior-range highs and open the path to six-figure targets.
Every trader eventually finds a setup that feels special. It could be a top-traded coin or a major future pair.
The chart structure lines up beautifully, the narrative makes sense, momentum confirms the move, and confidence builds quickly. At that moment, the trade stops being an idea and starts feeling like a commitment.
If price begins to move against the position, objectivity quietly fades. Instead of reassessing the premise, many traders search for additional confirmation that supports their original view. Lower timeframes get inspected, alternative indicators get consulted, and the stop level now feels flexible.
A trade deserves respect, but it should never feel like an anchor. Markets reward adaptation far more than attachment.
📈 2. Confusing Activity with Progress
Modern markets offer constant stimulation. Stocks trend, currencies fluctuate, crypto flexes the no-days-off mentality, and alerts light up screens across time zones. With so much movement available, participation feels productive.
The temptation to stay engaged grows stronger and sitting flat feels like missing out. Over time, frequency increases and standards soften. Setups that would have been filtered out on a calm day suddenly appear acceptable.
Selectivity separates sustainable performance from busy performance. The most consistent traders often trade less than expected because they focus on alignment rather than availability. In other words, less is more.
💸 3. Overestimating Conviction Through Position Size
Have you had a few modest-sized winning trades that make you think you’ll nail the next on,e so you bet big? Strong conviction often tempts traders to increase exposure. But then you disregard your risk management and the trade moves against you, wiping out your small wins.
When markets disagree, the emotional weight of the position increases proportionally to its size.
Position sizing remains one of the most underestimated elements of performance. Risk management protects clarity, and clarity supports better execution.
🌍 4. Ignoring General Market Conditions
That one gets violated more than you know. A stock may look technically attractive while the broader index trends lower. A short setup may seem compelling while the overall market surges higher.
Individual analysis can appear solid, yet outcomes suffer when the broader environment pushes in the opposite direction.
General market conditions influence momentum, liquidity, and sentiment. Strong environments lift a wide range of assets, while fragile environments expose weaknesses quickly.
Aligning strategy with prevailing conditions increases probability without changing a single indicator setting.
😤 5. Allowing Emotion to Drive Urgency
After a loss, the desire to recover quickly can feel powerful. Energy rises, focus sharpens, and the next trade appears urgent. That urgency often disguises itself as determination.
Emotional acceleration tends to reduce patience and expand risk. Decision quality declines when the goal shifts from executing a plan to correcting a prior outcome. And that can lead to one of the biggest market sins – revenge trading.
Markets reward discipline far more consistently than intensity.
🕰️ 6. Cutting Winners Short
Letting profits run sounds straightforward in theory, yet it challenges emotional comfort in practice. When a position moves into profit, closing it secures validation and removes uncertainty.
Extended trends, however, often develop after initial hesitation. Traders who exit too early capture relief rather than full opportunity.
Allowing a structured winner to develop requires trust in the process and tolerance for fluctuation. Patience frequently produces better asymmetry than constant management. And if you have problems swinging a big line for longer, consider reducing your position size “to the sleeping level.” (Bonus points if you know where that quote is coming from.)
📚 7. Skipping the Review
Performance improves through reflection. Traders who close their trading panels and move on without reviewing patterns often repeat the same behavioral tendencies.
Documenting entries, context, emotional state, and outcome reveals valuable insights. Over time, recurring strengths and weaknesses become visible.
Refinement grows from awareness. Awareness grows from consistent review.
🎁 The Takeaway
Every trader encounters these seven patterns during their development. Experience brings exposure to enthusiasm, overconfidence, impatience, and evolving discipline.
Success rarely depends on eliminating mistakes. But if you recognize them after a few failures, you’ve done better than the average finance bro.