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Diagonal ETHDiagonal ETH 🔹 Courage, the reversal is not far off, even though cancer hasn't blown its whistle yet. Pro ETH: 🔼 The spill is exciting, new year discounts on all storefronts, although people are still afraid to buy - and this is the best sign for growth when everyone is scared, ether approached the first serious support in the form of 3570, where we can see an increase in volumes and obvious purchases for large amounts, from the current ones we should expect a return to the slope and a hike to 4070 and 4200 where the main pool of liquidity is accumulated at the moment, the asset has cooled down, confidently holding the 200 MA. ❌ Negative may be a move below 3580, in this case it will open the way to a deeper pullback to 3200-3050, but Santa is a stingy man and will not give so generously. On RSI: 📈 Hourly is oversold, daily is neutral, why not. Subscribe, put likes!
COINBASE:ETHUSDShort
by Trade_Hive_Signals
Bitcoin Likely to See Slow and Choppy Price ActionBitcoin has re-entered the range zone between $99,108 and $103,033, suggesting that we may experience slow and choppy price action in the coming days. 1. For now, Bitcoin has established support at $99,108, which could lead to increased bullish momentum toward the upper boundary of the range at $103,033. This move could occur from the current price level or after a dip back to $99,108 (dashed green projection). 2. A strong breakout above $103,033 with sustained momentum would turn Bitcoin bullish on the 4-hour chart and could set the stage for a rally toward $107,658, the next significant resistance zone (solid green projection). 3. If Bitcoin fails to hold support at $99,108 and breaks below this level, the chart would turn bearish (dashed red projection). The bulls’ last line of defense is at $97,000. A breach below this level could lead to intensified bearish pressure, driving the price toward the $94,500 support zone (solid red projection). Consolidation within the $99,108 to $103,033 range, with Bitcoin maintaining a moderately bullish bias, could create favorable conditions for Altcoins to perform well.
BINANCE:BTCUSD
by Trade-Lean
BEAT-COIN? (BTC PROBABLE MOVE)Alright, we seen expected price action movements to the downside (maybe not expected by some retailers Lol) and now there's a crazy number of questions being; one of it is where is it really going to end up before the new year? Well... I can't say for sure, I can only really predict the next price in short time. In my chart above, I've marked out key infos; you can see the HTF point of interest taken from the 4H chart, where by candle wick; "price almost disrespected the fair value gap (had this happened by candle body, we would have an inversion gap that would be a support for a bullish move), but most encouraging (not for investors); price respected the 62%-79% fib levels which marked our O.T.E and it started dropping (potentially marking an end of the retracement move). But while I'm still a little skeptical about this vague movement all around, I moved over to the 15M timeframe for further forensics (Lol) as it may be beneficial to Currency, and perpetual traders. You would notice a liquidity sweep and if you draw a trendline liquidity from $92,149 up to the O.T.E level, you would see liquidity being taken out however you try to bend it; which may confirm our sentiment (but still not satisfied). I've marked out a key area in the chart that I expect should be broken, and if it is; we will have the market structure shift and look to take position. My next predicted price range is $95k - $89k. SHARE AND FOLLOW FOR MORE! For perpetual traders, I may leave analysis either on BINANCE:BTCUSDT.P or BYBIT:BTCUSDT.P
COINBASE:BTCUSDShort
by earthtraderx
XRP LAWSUIT🚨 CRYPTOCAP:XRP in Perspective: How Will the SEC Lawsuit Impact Price? 🚨 The ongoing legal battle between Ripple (XRP) and the U.S. Securities and Exchange Commission (SEC) has become a defining moment in the crypto world. With the case still unfolding, many investors are left questioning: How will the lawsuit impact XRP's price? --- ⚖️ The SEC Lawsuit: A Quick Overview In December 2020, the SEC filed a lawsuit against Ripple Labs, alleging that XRP is an unregistered security and that its sale violated U.S. securities laws. This legal uncertainty has weighed heavily on XRP’s price and its investor sentiment, with the outcome potentially shaping the future of the cryptocurrency. --- 🔍 Potential Scenarios for XRP’s Price ✅ Ripple Wins the Case 🚀 Positive Price Impact: A Ripple victory or favorable settlement could eliminate the legal uncertainty surrounding XRP, leading to a major price surge as confidence returns. 💼 Increased Adoption: Clarity on XRP's status as a non-security may attract more institutional and retail investors, boosting liquidity and demand. 📈 Market Rally: A favorable ruling could spark broader optimism in the altcoin market, benefiting other digital assets as well. ❌ Ripple Loses the Case 📉 Negative Price Impact: A loss might result in penalties or XRP being registered as a security, significantly affecting its liquidity and availability on U.S. exchanges. 😱 Market Panic: The ruling could trigger a sell-off as investors react to the unfavorable outcome, adding downward pressure to XRP’s price. 🕒 Prolonged Legal Uncertainty 📊 Price Volatility: As the case drags on, speculation may dominate, causing erratic price movements. Investors might tread cautiously, creating an environment of uncertainty and fluctuation. --- 🧐 What’s Next? For XRP investors, staying informed about the lawsuit's developments and broader market trends is critical. Whether you’re holding or planning to invest, being proactive and understanding the potential outcomes can help navigate this volatile situation. --- 💡 Your Take? How do you see the SEC lawsuit shaping XRP’s future? Share your thoughts below!
by AlphaBull-Trading
INJUSDT NEOWAVE ANALYSISWave A is the fastest and strongest wave on the chart, indicating that the long-term trend is up, and any downward wave is counter-trend. The pattern is a flat correction, confirmed complete in April 2024 with the drop from $52 to $18. Currently, we appear to be in an X wave. The X wave can be labeled as small or large based on its retracement of the entire pattern. Since it is not yet complete, I cannot provide further details based on the monthly chart. However, the price is likely to fully retrace the $13 low, and it should head lower.
by thekidtrader11
Ai // @ Julien_Eche //@version=5 indicator('Machine Learning Signal Filter', '', true) //**** Display Options **** displayMetrics = input(true, 'Display Neural Metrics?') dataCurves = input(false, 'Display Signal Curves?') //**** Signal Calculations **** signalEaster = input(true, 'Activate Signal Calculations?') useDataForSignal = input(true, 'Use Data for Signal Generation?') //**** Trade Settings **** lot_size = input.float(0.1, 'Signal Lot Size', options= ) stasisPeriod = input.int(5, 'Temporal Stasis Period (minimum 1)', minval=1) //**** Signal Filtration **** filterMatrix = input.string('Volatility', 'Signal Filtration Mode', options= ) //**** Temporal and Data Settings **** dataFlux = input.string('Close', 'Data Type', options= ) chronoSync = input.timeframe('', 'Temporal Dimension') retroScan = input.int(5, 'Chrono Window (minimum 2)', minval=2) chronoNorm = input.int(100, 'Temporal Normalization (range: 2 to 240)', minval=2, maxval=240) //**** Neural Network Parameters **** nanoPulse = input.float(0.001, 'Neural Pulse Rate (range: 0.0001 to 0.01)', minval=0.0001, maxval=0.01, step=0.0001) chronoCycles = input.int(1500, 'Cycle Iterations (range: 50 to 20000)', minval=50) //**** Table Position and Text Size Input **** tablePosition = input.string(defval = "Top Right", title = "Table Position", options = ) textSizeInput = input.string("Normal", "Text Size", options= ) //**** Function to get the table position **** getTablePosition(pos) => switch pos "Top Right" => position.top_right "Bottom Right" => position.bottom_right "Middle Right" => position.middle_right "Bottom Center" => position.bottom_center "Middle Left" => position.middle_left //**** Function to get text size **** getTextSize(size) => switch size "Normal" => size.normal "Large" => size.large "Small" => size.small //**** Constants and Variables **** var ACTIVATE = 1 var DEACTIVATE = -1 var STASIS = 0 var signalBeacon = STASIS var timeTracker = 0 var float start_long_trade = 0. var float long_trades = 0. var float start_short_trade = 0. var float short_trades = 0. var int victories = 0 var int trade_counter = 0 var table metricsTable = na //**** Helper Functions **** cosmicBlue(qz) => qz > 9 ? #FF0000ff : qz > 8 ? #FF0000e5 : qz > 7 ? #FF0000cc : qz > 6 ? #FF0000b2 : qz > 5 ? #FF000099 : qz > 4 ? #FF00007f : qz > 3 ? #FF000066 : qz > 2 ? #FF00004c : qz > 1 ? #FF000033 : #FF000019 nebulaRed(qz) => qz > 9 ? #0000FFff : qz > 8 ? #0000FFe5 : qz > 7 ? #0000FFcc : qz > 6 ? #0000FFb2 : qz > 5 ? #0000FF99 : qz > 4 ? #0000FF7f : qz > 3 ? #0000FF66 : qz > 2 ? #0000FF4c : qz > 1 ? #0000FF33 : #0000FF19 quantumSurge(threshold) => rsiVolume = ta.rsi(volume, 14) oscillator = ta.hma(rsiVolume, 10) oscillator > threshold fluxThreshold(minVol, maxVol) => ta.atr(minVol) > ta.atr(maxVol) vectorDot(vectorA, vectorB, dimension) => math.sum(vectorA * vectorB, dimension) bioCurve(zeta) => 1.0 / (1.0 + math.exp(-zeta)) cyberneticRegression(inputX, inputY, dimension, learningRate, iterations) => weight = 0.0 entropy = 0.0 for cycle = 1 to iterations by 1 hypothesis = bioCurve(vectorDot(inputX, 0.0, dimension)) entropy := -1.0 / dimension * vectorDot(vectorDot(inputY, math.log(hypothesis) + 1.0 - inputY, dimension), math.log(1.0 - hypothesis), dimension) gradient = 1.0 / dimension * vectorDot(inputX, hypothesis - inputY, dimension) weight -= learningRate * gradient weight stellarNormalize(dataStream, dimension, minimum, maximum) => highestValue = ta.highest(dataStream, dimension) lowestValue = ta.lowest(dataStream, dimension) (maximum - minimum) * (dataStream - lowestValue) / (highestValue - lowestValue) + minimum //**** Data Stream Selection **** dataStream = switch dataFlux 'Open' => open 'High' => high 'Low' => low 'Close' => close 'HL2' => (high + low) / 2 'OC2' => (open + close) / 2 'OHL3' => (open + high + low) / 3 'HLC3' => (high + low + close) / 3 => (open + high + low + close) / 4 baseStream = request.security(syminfo.tickerid, chronoSync, dataStream, lookahead=barmerge.lookahead_on) syntheticStream = math.log(math.abs(math.pow(baseStream, 2) - 1) + .5) baseInput = signalEaster ? time : baseStream syntheticInput = signalEaster ? baseStream : syntheticStream //**** Cybernetic Regression and Normalization **** = cyberneticRegression(baseInput, syntheticInput, retroScan, nanoPulse, chronoCycles) normalizedEntropy = stellarNormalize(entropy, chronoNorm, ta.lowest(baseStream, chronoNorm), ta.highest(baseStream, chronoNorm)) normalizedForecast = stellarNormalize(forecast, chronoNorm, ta.lowest(baseStream, chronoNorm), ta.highest(baseStream, chronoNorm)) //**** Signal Processing **** filter = true // Disable additional filters signalBeacon := useDataForSignal ? baseStream < normalizedEntropy and filter ? DEACTIVATE : baseStream > normalizedEntropy and filter ? ACTIVATE : nz(signalBeacon) : ta.crossunder(normalizedEntropy, normalizedForecast) and filter ? DEACTIVATE : ta.crossover(normalizedEntropy, normalizedForecast) and filter ? ACTIVATE : nz(signalBeacon) changed = ta.change(signalBeacon) timeTracker := changed ? 0 : timeTracker + 1 //**** Trade Conditions **** startLongTrade = changed and signalBeacon == ACTIVATE startShortTrade = changed and signalBeacon == DEACTIVATE endLongTrade = signalBeacon == ACTIVATE and timeTracker == stasisPeriod and not changed or changed and signalBeacon == DEACTIVATE endShortTrade = signalBeacon == DEACTIVATE and timeTracker == stasisPeriod and not changed or changed and signalBeacon == ACTIVATE //**** Plotting and Alerts **** plot(dataCurves ? normalizedEntropy : na, '', color.new(color.teal, 0), 3) plot(dataCurves ? normalizedForecast : na, '', color.new(color.orange, 0), 3) plotshape(startLongTrade ? low : na, 'Buy', shape.triangleup, location.belowbar, nebulaRed(10), size=size.small) plotshape(startShortTrade ? high : na, 'Sell', shape.triangledown, location.abovebar, cosmicBlue(10), size=size.small) plot(endLongTrade ? high : na, 'StopBuy', nebulaRed(6), 2, plot.style_cross) plot(endShortTrade ? low : na, 'StopSell', cosmicBlue(6), 2, plot.style_cross) alertcondition(startLongTrade, 'Buy', 'Go long!') alertcondition(startShortTrade, 'Sell', 'Go short!') alertcondition(startLongTrade or startShortTrade, 'Alert', 'Deal Time!') //**** Trade Calculations **** ohl3 = (open + high + low) / 3 if startLongTrade start_long_trade := ohl3 if endLongTrade trade_counter := 1 ldiff = ohl3 - start_long_trade victories := ldiff > 0 ? 1 : 0 long_trades := ldiff * lot_size if startShortTrade start_short_trade := ohl3 if endShortTrade trade_counter := 1 sdiff = start_short_trade - ohl3 victories := sdiff > 0 ? 1 : 0 short_trades := sdiff * lot_size neuralReturn = ta.cum(long_trades) + ta.cum(short_trades) tradeGalaxy = ta.cum(trade_counter) victoryCount = ta.cum(victories) defeatCount = tradeGalaxy - victoryCount == 0 ? 1 : tradeGalaxy - victoryCount //**** Display Metrics **** timeBase = (time - time ) / 1000 currentTime = (timenow - time_close ) / 1000 if displayMetrics and barstate.islast if na(metricsTable) metricsTable := table.new(getTablePosition(tablePosition), 2, 6, frame_color=color.gray, frame_width=1, border_width=1, border_color=color.gray) table.cell(metricsTable, 0, 0, "Metric", bgcolor=color.silver, text_size=getTextSize(textSizeInput)) table.cell(metricsTable, 1, 0, "Value", bgcolor=color.silver, text_size=getTextSize(textSizeInput)) table.cell(metricsTable, 0, 1, "Return", text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 1, 1, str.tostring(neuralReturn, '#.#'), text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 0, 2, "Trades", text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 1, 2, str.tostring(tradeGalaxy, '#'), text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 0, 3, "Win %", text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 1, 3, str.tostring(victoryCount / tradeGalaxy, '#.#%'), text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 0, 4, "Win/Loss", text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 1, 4, str.tostring(victoryCount / defeatCount, '#.##'), text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 0, 5, "Time %", text_size=getTextSize(textSizeInput), bgcolor=color.white) table.cell(metricsTable, 1, 5, str.tostring(currentTime / timeBase, '#.#%'), text_size=getTextSize(textSizeInput), bgcolor=color.white)
CRYPTOCAP:SOL
by Elf1ai
KAIAUSDT - Technical Analysis and Trading Plan Market Overview KAIAUSDT has shown a strong bounce from the lower boundary of the descending channel, with signs of a potential trend reversal. The price is attempting to break the structure, and the target is set at 0.3997. Key Observations 1. Descending Channel: - KAIAUSDT has been trading within a descending channel for a significant period. - A breakout above the channel will confirm bullish momentum. 2. Entry and Stop-Loss: - Entry is identified around 0.2282, aligning with a rebound point. - Stop-loss is placed at -5%, below the recent low, to minimize risks. 3. Take-Profit Level: - The first target is highlighted at 0.3997, which aligns with prior resistance levels. 4. Bullish Momentum Signs: - Price has been forming higher lows near the lower boundary of the channel, indicating potential accumulation. Momentum and Indicators 1. Volume: - Increased buying volume near the lower channel boundary indicates strong bullish interest. 2. Projection: - If the price sustains above the entry level and breaks the channel, further upward momentum is expected. --- Trading Plan 1. Entry Points: - Enter around 0.2282, as the price is showing signs of reversal. 2. Stop-Loss: - Set a stop-loss at 5% below the entry level to manage risks effectively. 3. Profit Targets: - Primary Target: 0.3997, as highlighted on the chart. 4. Risk Management: - Avoid over-leveraging and risk no more than 2% of total capital on this trade. Scenarios 1. Bullish Scenario: - Price breaks out of the descending channel and continues toward the target of 0.3997. 2. Bearish Scenario: - Failure to sustain above 0.2282 may lead to a retest of lower levels within the channel. Pro Summary KAIAUSDT is showing potential signs of a bullish reversal, supported by the channel pattern and volume analysis. Traders should monitor the breakout confirmation while aligning their trades with the defined entry, stop-loss, and target levels. //// DYOR (Do Your Own Research) This analysis serves as an overview of potential trading strategies and market behavior but is not exhaustive. Traders are encouraged to perform additional analysis to make informed decisions. Disclaimer This analysis is for informational purposes only and does not constitute financial advice. Trading cryptocurrencies and other financial instruments involves risks, including capital loss. Always consult a financial advisor before making investment decisions.
Long
by Supachai-Taechapisit
LUCE/USDT ell Signal 📉 Sell Signal for LUCE/USDT ✅ Suggestion: I anticipate a downward movement for this asset. You can open a market sell position now. 🎯 Target Levels: The first targets have been labeled and are expected to be reached soon. 🚨 💬 For effective signal management and to access more profitable setups: 1️⃣ Follow my TradingView page 📊 2️⃣ Send me a private message for further guidance. 💎 Let’s trade smart and profit together! 💰
Short
by DAVID_SNIPERRR