Harmonic Patterns
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)
swing trading for December 23 Crowdstrike Holdings(CRWD)CRWD Is Trading Now Using a Price Channel Pattern. Price channels are continuation patterns of parallel trend lines. They indicate that the price is likely to continue moving within the channel.
The breakout from the channel can signal significant trend changes. An upward channel suggests a bullish trend, while a downward channel indicates a bearish trend.
ETHEREUM - ETHUSD | 15M | SCALPING TIMEHello guys, I made BITSTAMP:ETHUSD analysis for you. For this kind of analysis, please value my analysis with your likes Thank you very much to everyone who supports me by liking
SIGNAL ALERT
BUY ETHEREUM-ETHUSD | 3,393,9 - 3,328,7
🟢TP1: 3,450,0
🟢TP2: 3,545,0
🟢TP3: 3,866,0
🔴SL: 3,026,3
Medium Risk
Stay with love guys.
NZDCAD- Long - Harmonics| Potential Reversal Zone | FIB Levels1- Market has completed AB=CD pattern,
2- And consolidation phase started,
3- IF the market break the resistance of the zone, it would be a good buying opportunity
4- else, if the market breaks the support level of consolidation phase it will stay bearish
5- support and resistance marked are good level of FIB Retracements.
Dog,puul back and drop3 weeks Dog can't broken the resistance ,i think it's going down till next support.
DEGOUSDT 1WDEGO Update ~ 1W
#DEGO if you still have Conviction on the coin,. Buy gradually within this support block,. with a minimum target of 20%++
Recession or Depression?A quick rise on unemployment, resultant of a speedy pullback on major markets, I think would be the best outcome for the US.
WRXUSDT 1WWRX ~ 1W
#WRX This trade is very high risk. But if you want to open a trade on this coin,. This is the lowest support block for now. With a short term target of at least 20%++
STORJUSDT 1WSTORJ ~ 1W
#STORJ If you still have Conviction on this coin,. This support block would be a very good buying place for now,. Buy in stages with a minimum term target of 20%++
GBPUSD looking at GU playout like this on the daily into the new year assuming Biden admin doesn't inflict anymore damage (Auctioning off border wall steel)= taxpayer costs increasing/ trade tariffs as well will play a factor into this.
ACAUSDT 1WACA ~ 1W
#ACA This trade is high risk. However, if you still have Conviction on this coin,. This support block would be a very good buying place for now.with a short term target of at least 20%++
GOLD MONEY MOVESGOLD on daily we retested daily trendline breakout supply roof and the zone is 2630-2628 and to close the rejection at 2620 a strong 4 hours support zone.
gold is held by two daily support structure ,if you can be patient for daily break and close of that level we are ready to short another 400pips drop.
on the swing side, if the long term ascending trendline supply roof is broken, we will likely go long on fake out sell structure traps.
on a higher probability sellers are likely the win the price battle as holiday looms and china central banks pulse gold buying .
GOLDGOLD found support at 2687 zone and to close 2620 after tapping into 2629 supply zone.
as the week opens we will see how the 2620 support /demand horizontal level holds price. Break of 2620 will be to go short
USDPLN USD/PLN1 cycle is around 40 mnths (from lowest point to lowest poin)
every 2nd cycle - new hight of USD to PLN
Engels $BTC breek alles wat je ziet $BTC break everything you seCRYPTOCAP:BTC shows what you can do and break that demand zone. We want to make money and not be in uncertainty
The Super in Philosophy: Beyond Ordinary UnderstandingIn the search for the meaning of life, we seek something beyond ourselves, something we might call "super"; not in the sense of superior or excellent, but as something beyond our usual understanding. This concept of "super" in philosophy draws us towards a broader reality, where the fundamental questions of existence, beyond time and space, hide their answers.
The Multifaceted Nature of GrowthGrowth is a natural and dynamic process that exists in all aspects of life. From a biological perspective, growth means an increase in size, the number of cells, or the development of organs in living beings. In humans, physical growth begins during the fetal stage and continues until puberty, but intellectual and emotional growth can continue throughout one's entire life.
My Best analysis The chart you've provided shows a bearish trend on the 4-hour timeframe for Bitcoin (BTC/USD). It highlights key resistance and support zones:
Resistance levels: Around 102,759, 100,958, and 99,376.
Support level: Price is approaching 94,000.
If the price fails to reclaim the resistance levels, the bearish momentum might continue. Ensure you manage risks effectively and follow your trading plan.
Let me know if you want this analysis rephrased for TradingView or need further insights!
GGGL-LONGGGGL has started a bullish trend as price has broke a consolidation box and now making Higher HIghs and Higher lows,so take a long entry at CMP
DGKC-LONGDGKC is trading in a bullish trend and now price has started reversal after correction so we will take long entry at CMP
