125 lines
3.9 KiB
Plaintext
125 lines
3.9 KiB
Plaintext
//@version=5
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indicator("DrNiki's Market Nuker", shorttitle="DrNiki's Market Nuker", overlay=true)
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// /*
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// create a calculator in pinescript that uses all of this data at the same time:
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// here are the pairs:
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// -US30
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// -GOLD
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// -DXY (for this pair inverse the results, each long point goes to a short point and vice versa)
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// -BTCUSDT.P
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// -syminfo.ticker
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// (e.g.:pairs = ["US30", "GOLD", "DXY", "BTCUSDT.P", syminfo.ticker])
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// use these 4 timeframes:
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// 1 hour
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// 2 hour
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// 3 hour
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// 4 hour
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// Use these 4 indicators:
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// Wavetrend with crosses [LazyBear] and use wt1 only - when it goes higher than the previous candle from the timeframe specified (we specified 4 timeframes) give it 1 point for longs. When it goes lower than the previous candle from the current timeframe specified (we specified 4 timeframes) give it 1 point for shorts
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// for rsi do the same
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// for stoch rsi K line do the same
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// for OBV do the same
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// DO it on all pairs and on all timeframes at the same time, the maximum odds should be 100% total. write the results in a text with the odds per pair for a long and short based on each timeframe and pair and based on each pair and timeframe.
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// Then have a total when you have the most efficient way of combining them calculated
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// */
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// [Input for Indicators]
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rsiLength = input(14, title="RSI Length")
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stochRsiLength = input(14, title="Stochastic RSI Length")
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n1 = input(10, title="WT Channel Length")
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n2 = input(21, title="WT Average Length")
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// Wavetrend Indicator Calculation
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ap = hlc3
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esa = ta.ema(ap, n1)
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d = ta.ema(math.abs(ap - esa), n1)
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ci = (ap - esa) / (0.015 * d)
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tci = ta.ema(ci, n2)
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wt1 = tci
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wt2 = ta.sma(wt1, 4)
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// Custom implementation of On Balance Volume (OBV)
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var float obv = na
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obv := close > close[1] ? obv + volume : close < close[1] ? obv - volume : obv
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// Money Flow Index (MFI)
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mfiLength = input(7, title="MFI Length")
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mfiValue = ta.mfi(close, mfiLength)
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// RSI and Stochastic RSI Calculation
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rsiValue = ta.rsi(close, rsiLength)
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stochRsiValue = ta.stoch(rsiValue, rsiValue, rsiValue, stochRsiLength)
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// [Function to calculate points for a given indicator and pair]
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// Function to calculate points for a given indicator and pair
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calcPoints(currentValue, previousValue, isInverse) =>
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value = 0
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if isInverse
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value := currentValue < previousValue ? 1 : currentValue > previousValue ? -1 : 0
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else
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value := currentValue > previousValue ? 1 : currentValue < previousValue ? -1 : 0
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value
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// Calculate points for each currency pair
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longPoints(pair, isInverse) =>
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rsiP = calcPoints(rsiValue, rsiValue[1], isInverse)
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stochRsiP = calcPoints(stochRsiValue, stochRsiValue[1], isInverse)
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wavetrendP = calcPoints(wt1, wt1[1], isInverse)
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rsiP + stochRsiP + wavetrendP
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shortPoints(pair, isInverse) => -longPoints(pair, isInverse)
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// Hardcoded pairs and their corresponding inverse flags
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pairs = array.new_string(5)
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array.set(pairs, 0, "US30")
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array.set(pairs, 1, "GOLD")
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array.set(pairs, 2, "DXY")
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array.set(pairs, 3, "BTCUSDT.P")
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array.set(pairs, 4, syminfo.tickerid)
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isInverse = array.new_bool(5, false)
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array.set(isInverse, 2, true) // Inverse for DXY
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// Initialize variables for storing points
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var float totalLongPoints = 0
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var float totalShortPoints = 0
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// Calculate points for each pair
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longPointsArray = array.new_float(5)
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shortPointsArray = array.new_float(5)
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for i = 0 to 4
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pair = array.get(pairs, i)
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inverseFlag = array.get(isInverse, i)
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array.set(longPointsArray, i, longPoints(pair, inverseFlag))
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array.set(shortPointsArray, i, shortPoints(pair, inverseFlag))
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// Update total points
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for i = 0 to 4
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totalLongPoints := totalLongPoints + array.get(longPointsArray, i)
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totalShortPoints := totalShortPoints + array.get(shortPointsArray, i)
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// Display the results
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plot(totalLongPoints, title="Total Long Points", color=color.blue)
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plot(totalShortPoints, title="Total Short Points", color=color.orange)
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// Display |