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Fractal

Bitcoin: 170k–180k?If you find this information inspiring/helpful, please consider a boost and follow! Any questions or comments, please leave a comment! Bitcoin: 170k to 180k? Let’s talk bias. We’ve seen a powerful move off the 75k low, and it’s hitting some markers of a potential wave 1 impulse. If that structure holds and price doesn’t come back to wipe out the lows in a wave 2 retracement, then this is what we’d be looking at. The idea? This is a conservative roadmap built off Elliott Wave Fibonacci projections and it targets the 170k to 180k zone. Now, let’s be clear. This is a conservative projection. We’re not talking hopium fueled 250k moon targets here. We have no proof of that yet. We're anchoring the wave count and saying: if this is a 1, we’re due a 2, and then a 3 takes us to the upper levels. But there’s a catch. Always is. If price starts to fade back through the 91.8k area in a deep aggressive retrace, this roadmap gets less likely. Breaking the 75k pivot means the impulse structure failed or was misread, and we shift the count. Until then, the 170k–180k level is a possible destination based on this roadmap. Trade Safe! Trade Clarity!
COINBASE:BTCUSDLong
by CryptoKnee
1
inj swing trade setupInj has broken downside, expecting more downfall before any leg up, wait for the entries to be filled, these are swing trades based on 1 day TF, so here wick doesn't matter wait for the closing, you can hold them without SL if entry achieved, take 1st entry on mentioned points 2nd entry below SL, and then wait for the closing, IF any entry achieved and candle closed above the short then wait for the pullback and close on entry points if long entry achieved then hold the trade 2nd entry take from previous wick low and wait for the tp this leg down will be the final shakeout before any major move. That's why giving you some short entries. BTC will take a final leg down sooner or later, then Boom your alt season starts.
by mejazkhanm
Bitcoin Fractal, increase to $116k Hi Everyone☕👋 BINANCE:BTCUSDT Been such a long time since I posted. Today I'm looking at BTCUSDT, and I'm looking at the previous all time high cycle and what we were seeing (the pattern aka fractal). Here's why we're likely going a little higher. First correction of -32% Followed by first peak, ATH Correction, then the second peak and the REAL ath. Which is where we likely are: Interesting to note that the previous time, the second ath was NOT THAT MUCH HIGHER. This should be considered to manage expectations in terms of how high we can go. Anything above +6% is a bonus.
Long
by BlockTechEv
15
Understanding SFP In Trading1. What is a Swing Failure Pattern (SFP)? A Swing Failure Pattern (SFP) occurs when the price temporarily breaks a key swing high or low but fails to continue in that direction, leading to a sharp reversal. This pattern is often driven by liquidity grabs, where price manipulates traders into taking positions before reversing against them. An SFP typically consists of: A false breakout beyond a previous swing high/low. A sharp rejection back within the prior range. A liquidity grab, triggering stop-loss orders and fueling a reversal. SFPs provide powerful trade opportunities, signaling potential reversals and the exhaustion of trends. 2. Understanding Liquidity Grabs & Stop Hunts The financial markets are structured around liquidity. Large institutions and algorithmic traders require liquidity to execute their large orders efficiently. One way they achieve this is by triggering liquidity grabs and stop hunts. Liquidity Grab: Occurs when price moves beyond a key level (e.g., swing high/low), activating orders from breakout traders and stop-losses of trapped traders. Smart money absorbs this liquidity before pushing the price in the opposite direction. Stop Hunt: A deliberate price movement designed to trigger stop-loss orders of retail traders before reversing. Often seen near major support and resistance levels. These events are crucial for understanding SFPs because they explain why false breakouts occur before significant reversals. 3. Why Smart Money Uses SFPs Institutions, market makers, and algorithmic traders use SFPs to: Fill large orders: By grabbing liquidity at key levels, they ensure they can enter large positions without causing excessive price slippage. Manipulate retail traders: Many retail traders place stop-losses at obvious swing points. Smart money exploits this by pushing the price beyond these levels before reversing. Create optimal trade entries: SFPs often align with high-probability reversal zones, allowing smart money to enter positions at better prices. Understanding how institutions operate gives traders an edge in identifying manipulative moves before major price reversals. 4. Market Structure & SFPs Market structure is built upon a series of swing highs and swing lows. Identifying these key points is crucial because they represent areas where liquidity accumulates and where price is likely to react. Swing High (SH): A peak where price makes a temporary high before reversing downward. Swing Low (SL): A trough where price makes a temporary low before reversing upward. Types of Swing Points in Market Structure Higher Highs (HH) & Higher Lows (HL) – Bullish Trend Lower Highs (LH) & Lower Lows (LL) – Bearish Trend Equal Highs & Equal Lows – Range-Bound Market 5. Liquidity Pools: Where Traders Get Trapped Liquidity pools refer to areas where traders' stop-loss orders, pending orders, and breakout entries accumulate. Smart money uses these liquidity zones to execute large orders. Common Liquidity Pool Zones: Above swing highs: Retail traders place breakout buy orders and stop-losses here. Below swing lows: Stop-losses of long positions and breakout sell orders accumulate. Trendline & Range Liquidity: Multiple touches of a trendline encourage traders to enter positions based on trendline support/resistance. Smart money may engineer a fake breakout before reversing price. 6. Identifying Bullish SFPs SFPs can occur in both bullish and bearish market conditions. The key is to identify when a liquidity grab has occurred and whether the rejection is strong enough to confirm a reversal. Bullish SFP (Swing Low Failure in a Downtrend) Price sweeps a key low, triggering stop-losses of long traders. A strong rejection wick forms, pushing price back above the previous low. A shift in order flow (bullish market structure) confirms a potential reversal. Traders look for bullish confirmation, such as a higher low forming after the SFP. Best bullish SFP setups occur: At strong support levels Below previous swing lows with high liquidity After a liquidity grab with momentum confirmation 7. Identifying Bearish SFPs Bearish SFP (Swing High Failure in an Uptrend) Price takes out a key high, triggering stop-losses of short traders. A sharp rejection forms, pushing the price back below the previous high. A bearish shift in order flow confirms downside continuation. Traders look for bearish confirmation, such as a lower high forming after the SFP. Best bearish SFP setups occur: At strong resistance levels Above previous swing highs where liquidity is concentrated With clear rejection wicks and momentum shift 8. How SFPs Signal Reversals SFPs provide early warning signs of trend reversals because they expose areas where liquidity has been exhausted. Once liquidity is taken and the price fails to continue in that direction, it often results in a strong reversal. Key Signs of a Strong SFP Reversal Long wick rejection (indicating absorption of liquidity). Close back inside the previous range (invalidating the breakout). Increased volume on the rejection candle (confirming institutional activity). Break of short-term market structure (trend shifting). Divergences with indicators (e.g., RSI divergence at the SFP). 9. Identifying High-Probability SFPs One of the most critical aspects of a valid SFP is how the price reacts after a liquidity grab. The candle’s wick and close determine whether an SFP is strong or weak. A. Wick Rejections & Candle Closes Key Features of a Strong SFP Wick Rejection Long wick beyond a key swing high/low (indicating a liquidity grab). Candle closes back inside the previous range (invalidating the breakout). Engulfing or pin bar-like structure (showing aggressive rejection). Minimal body size relative to wick length (e.g., wick is 2–3x the body). Bullish SFP (Swing Low Failure) Price sweeps below a key low, triggering stop-losses of buyers. A long wick forms below the low, but the candle closes back above the level. This signals that smart money absorbed liquidity and rejected lower prices. Best bullish SFPs occur at major support zones, previous swing lows, or untested demand areas. Bearish SFP (Swing High Failure) Price sweeps above a key high, triggering stop-losses of short sellers. A long wick forms above the high, but the candle closes back inside the range. This signals that smart money absorbed liquidity and rejected higher prices. Best bearish SFPs occur at resistance levels, previous swing highs, or untested supply areas. ❌ Weak SFPs (Avoid These) ❌ Wick is too small, meaning the liquidity grab wasn’t significant. ❌ Candle closes above the swing high (for a bearish SFP) or below the swing low (for a bullish SFP). ❌ Lack of strong momentum after rejection. B. Volume Confirmation in SFPs Volume plays a crucial role in validating an SFP. Institutional traders execute large orders during liquidity grabs, which often results in spikes in trading volume. How to Use Volume for SFP Confirmation High volume on the rejection wick → Indicates smart money absorption. Low volume on the breakout move → Suggests a lack of real buying/selling pressure. Increasing volume after rejection → Confirms a strong reversal. Spotting Fake SFPs Using Volume If volume is high on the breakout but low on the rejection wick, the move may continue trending rather than reversing. If volume remains low overall, it suggests weak market participation and a higher chance of chop or consolidation instead of a clean reversal. Best tools for volume analysis: Volume Profile (VPVR) Relative Volume (RVOL) Footprint Charts 10. Key Takeaways SFPs are Liquidity Grabs – Price temporarily breaks a key high/low, triggers stop losses, and then reverses, signaling smart money absorption. Wick Rejection & Close Matter – A strong SFP has a long wick beyond a swing point but closes back inside the range, invalidating the breakout. Volume Confirms Validity – High volume on rejection wicks indicates smart money involvement, while low-volume breakouts often fail. Higher Timeframes = Stronger SFPs – 1H, 4H, and Daily SFPs are more reliable than lower timeframe setups, reducing false signals. Confluence Increases Probability – SFPs are most effective when aligned with order blocks, imbalances (FVGs), and major liquidity zones. Optimal Entry Methods Vary – Aggressive entries capitalize on immediate rejection, while confirmation and retracement entries improve accuracy. Proper Stop Loss Placement Prevents Fakeouts – Placing SL just beyond the rejection wick or using structure-based stops reduces premature exits. Take Profit at Key Liquidity Levels – Secure profits at previous swing highs/lows, order blocks, or imbalance zones to maximize returns.
Education
by CandelaCharts
PLTR: Encoded Wave Replication IAs bullish wave gets mature on the way up, it draws distinctive tops in a way that warns of bullish exhaustion ahead because to some extent topologically highs indicate a registered rejection of moving further in a local scope (some period). Scalable Recursive Patterns If we pay attention to building blocks on smaller scale Those patterns replicate in bigger scale for example If the pattern really carries the identified encoding, I'd pay attention to how price retraces within fibonacci channel which is adjusted to the direction of fractal cycle in a clean version.
NASDAQ:PLTR
by fract
ZKUSDTCryptocurrency Futures Market Disclaimer 🚨🚨🚨 Trading cryptocurrency futures involves high risks and is not suitable for all investors. Cryptocurrency prices are highly volatile, which can lead to significant gains or losses in a short period. Before engaging in crypto futures trading, consider your risk tolerance, experience, and financial situation. Risk of Loss: You may lose more than your initial capital due to the leveraged nature of futures. You are fully responsible for any losses incurred. Market Volatility: Crypto prices can fluctuate significantly due to factors such as market sentiment, regulations, or unforeseen events. Leverage Risk: The use of leverage can amplify profits but also increases the risk of total loss. Regulatory Uncertainty: Regulations related to cryptocurrencies vary by jurisdiction and may change, affecting the value or legality of trading. Technical Risks: Platform disruptions, hacking, or technical issues may result in losses. This information is not financial, investment, or trading advice. Consult a professional financial advisor before making decisions. We are not liable for any losses or damages arising from cryptocurrency futures trading. Note: Ensure compliance with local regulations regarding cryptocurrency trading in your region. thanks for like and follow @ydnldn
Short
by ydnldn
VETUSDTCryptocurrency Futures Market Disclaimer 🚨🚨🚨 Trading cryptocurrency futures involves high risks and is not suitable for all investors. Cryptocurrency prices are highly volatile, which can lead to significant gains or losses in a short period. Before engaging in crypto futures trading, consider your risk tolerance, experience, and financial situation. Risk of Loss: You may lose more than your initial capital due to the leveraged nature of futures. You are fully responsible for any losses incurred. Market Volatility: Crypto prices can fluctuate significantly due to factors such as market sentiment, regulations, or unforeseen events. Leverage Risk: The use of leverage can amplify profits but also increases the risk of total loss. Regulatory Uncertainty: Regulations related to cryptocurrencies vary by jurisdiction and may change, affecting the value or legality of trading. Technical Risks: Platform disruptions, hacking, or technical issues may result in losses. This information is not financial, investment, or trading advice. Consult a professional financial advisor before making decisions. We are not liable for any losses or damages arising from cryptocurrency futures trading. Note: Ensure compliance with local regulations regarding cryptocurrency trading in your region. thanks for like and follow @ydnldn
Short
by ydnldn