People get panicky during corrections. Understandably, it can be nerve-wracking watching that stock you were sure was going up, going down. With the short term nature of the trading I'm doing, I don't worry that much, and especially when the corrections are garden variety ones. ROST is down almost 10% since Dec 5th. That's a normal correction, especially for ROST. It's done that (or more) 4 times in the last 11 months, coming all the way back or more each time. Now I'm not predicting it will this time, too. The whole point of short term trading is not having to worry about earnings, the economy, who we enter a trade war with, etc. But it is important to keep perspective and zoom out every once in a while. Looking too closely at the last two weeks for this stock could be unnecessarily frightening. 7 down days in the last 8. 4 in a row. Zooming out lets me realize that what's going on here isn't necessarily a crisis. It's (no pun intended) business as usual. It helps that NASDAQ:ROST is one of my better stocks for trading the way I do. It also helps that there is some support relatively close. It helps that I have over 1100 backtested and real trades in ROST to look back on. When the history of the stock is 1122-2 (the 2 are the last two days), it makes the 10% drop lately seem less worrisome. Data is comforting in times of stress. And those are lessons for everyone's trading, I think. Look at the big picture before getting nervous about the small one. Collect data on your trades, and let that story of success keep you calm in difficult times. And if it's a story of a lack of success, then at least you can avoid a mess before it happens and work on developing something new. Per my usual strategy, I'll add to my position at the close on any day it still rates as a “buy” and I will use FPC (first profitable close) to exit any lot on the day it closes at any profit. As always - this is intended as "edutainment" and my perspective on what I am or would be doing, not a recommendation for you to buy or sell. Act accordingly and invest at your own risk. DYOR and only make investments that make good financial sense for you in your current situation.
Apple Maps will soon rename the Gulf of Mexico to the Gulf of America, following similar changes made by Google this week, in order to comply with U.S. President Donald Trump’s executive order that officially changed the name. U.S.-based Apple users may see the “Gulf of America” as soon as Tuesday, according to Bloomberg, and […] © 2024 TechCrunch. All rights reserved. For personal use only.
ChatGPT, OpenAI’s chatbot platform, may not be as power-hungry as once assumed. But its appetite largely depends on how ChatGPT is being used and the AI models that are answering the queries, according to a new study. A recent analysis by Epoch AI, a nonprofit AI research institute, attempted to calculate how much energy a […] © 2024 TechCrunch. All rights reserved. For personal use only.
Google has removed events such as Black History Month and Pride Month from being listed on the calendar by default.  Other events that were removed from the default calendar include Jewish Heritage, Indigenous People Month, Holocaust Remembrance Day, and Hispanic Heritage Month. Google spokesperson Madison Cushman Veld confirmed the changes to TechCrunch, saying that in […] © 2024 TechCrunch. All rights reserved. For personal use only.
In the ever-evolving tapestry of the blockchain and cryptocurrency world, Ripple Labs has been weaving a new thread of innovation and expansion. Over the past two months, Ripple has not only introduced Ripple USD ($RLUSD), a game-changer in the stablecoin arena, but has also stitched together strategic partnerships that span continents. From enhancing payment corridors in Portugal to securing a foothold in the Middle Eastern financial landscape with Saudi Arabia's National Commercial Bank joining RippleNet, Ripple is redefining the boundaries of digital finance. Let's dive into the ripple effects of these groundbreaking moves. Ripple USD ($RLUSD) Introduction Ripple announced the introduction of Ripple USD, a fully-backed US dollar stablecoin on the XRP Ledger, enhancing functionality and opening new possibilities for developers. Ripple USD Trading Availability Ripple USD was made available for trading on platforms like ZeroHash and Revolut, expanding its reach and utility in the crypto market. Ripple USD Launch on Global Exchanges Ripple USD was launched on global exchanges, including MoonPay, Uphold, CoinMENA, Bitso, and Archax, aiming to provide instant global payments, seamless on/off ramps, and access to real-world asset value. Partnership with Unicâmbio in Portugal Ripple entered a partnership with Unicâmbio, Portugal's leading currency exchange provider, allowing corporate customers to move funds instantly between Portugal and Brazil using Ripple Payments. New Money Transmitter Licenses in the U.S. Ripple announced the acquisition of new Money Transmitter Licenses (MTL) in New York and Texas, alongside plans for growth in customer onboarding and hiring in the U.S. Integration with Chainlink Ripple USD ($RLUSD) adopted the Chainlink standard for verifiable data to enhance DeFi adoption by providing real-time, secure pricing data. National Commercial Bank (NCB) of Saudi Arabia Joins RippleNet The National Commercial Bank of Saudi Arabia, the second-largest bank in the Middle East by total assets, officially joined RippleNet, indicating a significant move for cross-border payment solutions using Ripple's technology. With all of these announcements, XRP is still in a tight trading pattern between $2.50 USD at the upper end and $1.79 at the lower end. This tells me one thing. The large financial institutions are holding XRP trying to get as much as the can for themselves and trying to tire out the retail traders (us) so that we are out of the way. Any large corporation that had these many announcements, and high quality ones, over the last 60 days would have their stock soaring on Wall Street. Although I cannot give any financial advice, I will tell you what I am doing. I keep 30% of my XRP long because we never know when things will change and we wake up to $100 XRP tokens. The other 70%, I swing trade. I AM NOT going short, again, you don't know when you place a "short" hoping for it to go to $2.00 and then it goes to $100. I exit to USDT, wait for it to drop 3-5% and then purchase "long". My goal is to increase the number of XRP that I own. XRP is a utility token that is being adopted by major financial institutions and will eventually be a SWIFT replacement. This will one day make XRP soar to BTC values. Remember, I was the guy that purchased BTC at $0.11 and sold at $0.54. I know you might get tired of me reminding you of this, but I don't want you to miss the XRP boat and say, "I should have listened to Tim."
Hi All, As shown in the chart, Bitcoin appears to be entering a retracement phase after a period of rest, and it’s now moving into a corrective wave and possibly ABC. ? Based on current movements, the best opportunity for a profitable trade in Bitcoin might be approaching. ? We can trade for short-term gains and hold the rest for potential longer-term profits, as I believe Bitcoin has good potential to move positively. ? ⚠️ Note: Just as sudden news in the Forex market can completely neutralize and disrupt the entire technical analysis system, Bitcoin can have a similar impact on the crypto market. ? An unexpected move in Bitcoin can quickly change our analysis in a different direction. Therefore, always be prepared for emotional and unforeseen events, and ensure to observe risk and capital management diligently. ? Feel free to share your ideas in the comments. ? Happy Investing All, ❤️ Armin
Epic Cash ( CSE:EPIC ) is a low-cap, proof-of-work privacy coin with a 21 million max supply—just like Bitcoin. Unlike other coins, Epic Cash uses a polyphasic proof-of-work consensus mechanism, making mining more accessible and decentralized (CPU-48%, GPU-48%, ASIC-4%). It also leverages the Mimblewimble privacy protocol at the base layer, ensuring transactions are private by default, coins remain fungible, and the blockchain stays scalable, fast, and cheap to use. With its recent listing on CoinEx and increasing visibility (now on TradingView!), is it only a matter of time before more traders take notice? Why Epic Cash Could Be Undervalued: Privacy + PoW Narrative: Coins like XMR, ZEC, and DASH have solid followings, yet Epic Cash remains under the radar despite offering better privacy, greater scalability, a lighter blockchain, and lower transaction costs. Scarcity: Modeled after Bitcoin’s emissions, with a hard cap of 21 million coins, making it a scarce digital asset. New Exchange Listings: Listed on TradeOgre several weeks ago, CoinEx last week, and with the potential for more exchange listings later this year, accessibility continues to improve. Low Liquidity…For Now = Big Potential Moves Epic Cash currently has low liquidity due to its organic trading environment—no VC backing, just real buyers and sellers. But with increasing exchange listings, visibility, and adoption, this might not be the case for long. As more traders discover Epic Cash, the opportunity for significant moves grows. Could Epic Cash be next in line for a major breakout? Share your thoughts below!
// ALERT READY ON TELEGRAM ==> https://t.me/+UAk3hqvoD89jZTlk //@version=5 indicator(" ", overlay=true, max_lines_count=500, max_labels_count=500, max_boxes_count=350) // FUNCTIONS // Close to Close Volatility f_coc(x, period, sqrtAnnual) => mean = ta.sma(x, period) s = array.new_float(0) for i = 0 to period - 1 by 1 array.push(s, math.pow(x - mean, 2)) sqrtAnnual * math.sqrt(array.sum(s) / (period - 1)) // // Parkinson Volatility f_park(period, sqrtAnnual) => var LOG2 = math.log(2) powLogHighLow = math.pow(math.log(high / low), 2) sqrtAnnual * math.sqrt(1.0 / period * math.sum(1.0 / (4.0 * LOG2) * powLogHighLow, period)) // Garman Klass Volatility f_gk(period, sqrtAnnual) => var LOG2 = math.log(2) var SQRT_1_PERIOD = math.sqrt(1 / period) powLogHighLow = math.pow(math.log(high / low), 2) powLogCloseOpen = math.pow(math.log(close / open), 2) tmp = 0.5 * powLogHighLow - (2.0 * LOG2 - 1.0) * powLogCloseOpen sqrtAnnual * math.sqrt(math.sum(tmp, period)) * SQRT_1_PERIOD // Rogers Satchell Volatility f_rsv(period, sqrtAnnual) => tmp = math.log(high / close) * math.log(high / open) + math.log(low / close) * math.log(low / open) sqrtAnnual * math.sqrt(math.sum(tmp, period) / period) // Garman Klass Yang Zhang Extension Volatility f_gkyz(period, sqrtAnnual) => var LOG2 = math.log(2) var SQRT_1_PERIOD = math.sqrt(1 / period) powLogHighLow = math.pow(math.log(high / low), 2) powLogCloseOpen = math.pow(math.log(close / open), 2) lastClose = nz(close , close) powLogOpenClose1 = math.pow(math.log(open / lastClose), 2) tmp = powLogOpenClose1 + 0.5 * powLogHighLow - (2.0 * LOG2 - 1.0) * powLogCloseOpen sqrtAnnual * math.sqrt(math.sum(tmp, period)) * SQRT_1_PERIOD // Yang Zhang Volatility f_yz(a, period, sqrtAnnual) => o = math.log(open) - math.log(nz(close , close)) u = math.log(high) - math.log(open) d = math.log(low) - math.log(open) c = math.log(close) - math.log(open) nMinusOne = period - 1 avgo = ta.sma(o, period) avgc = ta.sma(c, period) so = array.new_float(0) sc = array.new_float(0) for i = 0 to period - 1 by 1 array.push(so, math.pow(o - avgo, 2)) array.push(sc, math.pow(c - avgc, 2)) sumo = array.sum(so) sumc = array.sum(sc) Vo = sumo / nMinusOne Vc = sumc / nMinusOne Vrs = math.sum(u * (u - c) + d * (d - c), period) / period k = (a - 1.0) / (a + (period + 1.0) / nMinusOne) sqrtAnnual * math.sqrt(Vo + k * Vc + (1.0 - k) * Vrs) // Exponentially Weighted Volatility f_ewma(source, period, sqrtAnnual) => var lambda = (period - 1) / (period + 1) squared = math.pow(source, 2) float v = na v := lambda * nz(v , squared) + (1.0 - lambda) * squared sqrtAnnual * math.sqrt(v) // Mean Absolute Deviation (Adjusted) f_mad(source, period, sqrtAnnual) => var SQRT_HALF_PI = math.sqrt(math.asin(1)) mean = ta.sma(source, period) S = array.new_float(0) for i = 0 to period - 1 by 1 array.push(S, math.abs(source - mean)) sumS = array.sum(S) sqrtAnnual * (sumS / period) * SQRT_HALF_PI // Median Absolute Deviation f_mead(source, period, sqrtAnnual) => median = ta.percentile_nearest_rank(source, period, 50) E = 0.0 for i = 0 to period - 1 by 1 E += math.abs(source - median) E sqrtAnnual * math.sqrt(2) * (E / period) //Rescale Function f_rescale(_src, _size) => math.max(0, math.min(_size, int(_src / 100 * _size))) // label Panel Function _label(T, color_PnL) => label PnL_Label = na label.delete(PnL_Label ) PnL_Label := label.new(time, 0, text=T, color=color_PnL, textcolor=color.white, size=size.normal, style=label.style_label_left, xloc=xloc.bar_time, textalign=text.align_left) label.set_x(PnL_Label, label.get_x(PnL_Label) + math.round(ta.change(time) * 3)) // Round Function Round(src, digits) => p = math.pow(10, digits) math.round(math.abs(src) * p) / p * math.sign(src) //Options for Inputs ON = 'On' OFF = 'Off' CTC = 'Close to Close' PKS = 'Parkinson' GK = 'Garman Klass' RS = 'Rogers Satchell' GKYZ = 'Garman Klass Yang Zhang Extension' YZ = 'Yang Zhang' EWMA = 'EWMA' MAD = 'Mean Absolute Deviation' MAAD = 'Median Absolute Deviation' L = 'Line' SL = 'StepLine' Ar = 'Area' CL = 'Columns' // Settings H = EWMA period = 10 Annual = 365 a = 1.34 Plen = 365 Pco = ON sma = ON malen = 55 bsg = OFF stl = CL lT = 3 i_invert = OFF bg = OFF sp = OFF // bgcolor(bg ? color.new(#000000, 20) : na, title='Dark Background', transp=90) var sqrtAnnual = math.sqrt(Annual) * 100 logr = math.log(close / close ) // Historical Volatiity Models Hv = if H == CTC f_coc(logr, period, sqrtAnnual) else if H == PKS f_park(period, sqrtAnnual) else if H == RS f_rsv(period, sqrtAnnual) else if H == GK f_gk(period, sqrtAnnual) else if H == GKYZ f_gkyz(period, sqrtAnnual) else if H == EWMA f_ewma(logr, period, sqrtAnnual) else if H == YZ f_yz(a, period, sqrtAnnual) else if H == MAD f_mad(logr, period, sqrtAnnual) else // H == "Median Absolute Deviation" f_mead(logr, period, sqrtAnnual) pstyle = stl == L ? plot.style_linebr : stl == SL ? plot.style_stepline : stl == Ar ? plot.style_area : stl == CL ? plot.style_columns : plot.style_line //Hv Stats avgHV = ta.sma(Hv, malen) HVP = ta.percentrank(Hv, Plen) NearZero = HVP < 1.5 ? 1 : 0 HV50 = ta.percentile_nearest_rank(Hv, Plen, 50) // // Text Functions // texthv() => // ' HV: ' + str.tostring(Round(Hv, 2)) // textphv() => // 'HV 50áµ—Ê° Percentile: ' + str.tostring(Round(HV50, 2)) // texthvp() => // 'HV Percentile: ' + str.tostring(Round(HVP, 2)) + 'áµ—Ê°' // // Coloring // var c_ = array.new_color(na) // if barstate.isfirst // array.push(c_, #0effff) // array.push(c_, #00fdf6) // array.push(c_, #00fbee) // array.push(c_, #00f9e4) // array.push(c_, #00f6db) // array.push(c_, #00f4d1) // array.push(c_, #13f1c6) // array.push(c_, #24efbc) // array.push(c_, #31ecb1) // array.push(c_, #3ce9a6) // array.push(c_, #47e69b) // array.push(c_, #51e390) // array.push(c_, #5adf85) // array.push(c_, #62dc7a) // array.push(c_, #6ad96e) // array.push(c_, #72d563) // array.push(c_, #7ad157) // array.push(c_, #81cd4b) // array.push(c_, #88ca3f) // array.push(c_, #8fc532) // array.push(c_, #96c123) // array.push(c_, #9cbd0e) // array.push(c_, #a3b800) // array.push(c_, #a9b300) // array.push(c_, #b0ae00) // array.push(c_, #b6a900) // array.push(c_, #bca300) // array.push(c_, #c29e00) // array.push(c_, #c29e00) // array.push(c_, #c89800) // array.push(c_, #ce9100) // array.push(c_, #d48b00) // array.push(c_, #da8400) // array.push(c_, #df7c00) // array.push(c_, #e57400) // array.push(c_, #ea6c00) // array.push(c_, #ef6200) // array.push(c_, #f35800) // array.push(c_, #f74c00) // array.push(c_, #fb3e00) // array.push(c_, #ff2d00) // if i_invert // array.reverse(c_) // var sizeOf = array.size(c_) - 1 // colorHV = Pco ? array.get(c_, f_rescale(HVP, sizeOf)) : color.aqua // Plots // plot(Hv, 'HV', color=colorHV, linewidth=lT, style=plot.style_line) // plot(sma ? avgHV : na, 'sma', color=color.new(#FFFFFF, 25), linewidth=2) //bgcolor(Hv > avgHV ? color.lime : na) // if sp // _label(H + texthv() + '\n' + textphv() + '\n' + texthvp() + '\n\n', #000000c0) // col2 = HVP >= 1 ? color.yellow : HVP = 0.5 ? color.orange : HVP avgHV // ilk band ust volatility := 3.15 else if Hv < mab and Hv > maa // ikinci band ust volatility := 3.5 else if Hv < mac and Hv > mab // ucuncu band ust volatility := 3.6 else if Hv > mac // volatilite en ust degerde volatility := 4 else if Hv < maa and Hv > mad // altdaki ilk band volatility := 3 else if Hv < mad and Hv > mae // altdaki ikinci band volatility := 2.85 else if Hv < mae // volatilite butun bandlarin anltinda volatility := 3 //plot(volatility,color = color.red) // plot(maa, 'maa', color=color.new(color.aqua, 25)) // plot(mab, 'mab', color=color.new(color.aqua, 25)) // plot(mac, 'mac', color=color.new(color.aqua, 25)) // plot(mad, 'mad', color=color.new(color.aqua, 25)) // plot(mae, 'mae', color=color.new(color.aqua, 25)) //-------------- Elite Algo v22 | https://elitesignals.com -----------------// // Get user input enableDashboard = input(true, "Enable Dashboard", group="DASHBOARD SETTINGS") locationDashboard = input.string("Middle right", "Location", , group="DASHBOARD SETTINGS") sizeDashboard = input.string("Tiny", "Size", , group="DASHBOARD SETTINGS") colorBackground = input(#2A2E39, "Bg color", group="DASHBOARD SETTINGS") colorFrame = input(#2A2E39, "Frame color", group="DASHBOARD SETTINGS") colorBorder = input(#363A45, "Border color", group="DASHBOARD SETTINGS") showSignals = input(true, "Show signals", group="BUY AND SELL SIGNALS SETTINGS") strategy = input.string("Normal", "Strategy", , group="BUY AND SELL SIGNALS SETTINGS") sensitivity11 = input.float(defval=1.8, title="Sensitivity", minval=1, maxval=20, group = 'Signals') sensitivity = sensitivity11 auto_button = input.bool(defval = true , title = "Auto Sensitivity", group = 'Signals') consSignalsFilter = input(false, "Consolidation signals filter", group="BUY AND SELL SIGNALS SETTINGS") smartSignalsOnly = input(false, "Smart signals only", group="BUY AND SELL SIGNALS SETTINGS") candleColors = input(false, "Candle colors", group="BUY AND SELL SIGNALS SETTINGS") momentumCandles = input(false, "Momentum candles", group="BUY AND SELL SIGNALS SETTINGS") highVolSignals = input(false, "High volume signals only", group="BUY AND SELL SIGNALS SETTINGS") enableTrailingSL = input(false, "Enable trailing stop-loss", group="RISK MANAGEMENT SETTINGS") usePercSL = input(false, "% Trailing sl", inline="2", group="RISK MANAGEMENT SETTINGS") percTrailingSL = input.float(1, "", 0, step=0.1, inline="2", group="RISK MANAGEMENT SETTINGS") enableSwings = input(false, "Enable Swing High's & Swing's Low's", inline="3", group="RISK MANAGEMENT SETTINGS") periodSwings = input.int(10, "", 2, inline="3", group="RISK MANAGEMENT SETTINGS") enableTpSlAreas = input(false, "Enable take profit/stop-loss areas", group="RISK MANAGEMENT SETTINGS") useTP1 = input(true, "", inline="4", group="RISK MANAGEMENT SETTINGS") multTP1 = input.float(1, "TP 1", 0, inline="4", group="RISK MANAGEMENT SETTINGS") useTP2 = input(true, "", inline="5", group="RISK MANAGEMENT SETTINGS") multTP2 = input.float(2, "TP 2", 0, inline="5", group="RISK MANAGEMENT SETTINGS") useTP3 = input(true, "", inline="6", group="RISK MANAGEMENT SETTINGS") multTP3 = input.float(3, "TP 3", 0, inline="6", group="RISK MANAGEMENT SETTINGS") tpLabels = input(true, "Take profit labels", group="RISK MANAGEMENT SETTINGS") showTrendCloud = input(true, "Show Trend cloud", group="TREND CLOUD SETTINGS") periodTrendCloud = input.string("New", "Trend cloud period", , group="TREND CLOUD SETTINGS") signalsTrendCloud = input(false, "Trend only signals", group="TREND CLOUD SETTINGS") fastTrendCloud = input(false, "Fast trend cloud", group="TREND CLOUD SETTINGS") fastTrendCloudLen = input.int(55, "Fast trend cloud", 2, group="TREND CLOUD SETTINGS") enableAutoTrend = input(false, "Enable Auto Trendlines", group="AUTO TRENDLINES SETTINGS") srcTrendChannel = input(close, "Trend channel source", group="AUTO TRENDLINES SETTINGS") lenTrendChannel = input.int(200, "Trend channel loopback", 2, group="AUTO TRENDLINES SETTINGS") enableSR = input(false, "Enable support and resistance", group="AUTO SUPPORT AND RESISTANCE SETTINGS") lineSrStyle = input.string("Dashed", "Line Style", , group="AUTO SUPPORT AND RESISTANCE SETTINGS") lineSrWidth = input.int(2, "Line Width", 1, 4, group="AUTO SUPPORT AND RESISTANCE SETTINGS") showCons = input(false, "Consolidation Zones", group="CONSOLIDATION ZONES") lbPeriod = input.int(10, "Loopback Period", 2, 50, group="CONSOLIDATION ZONES") lenCons = input.int(5, "Min Consolidation Length", 2, 20, group="CONSOLIDATION ZONES") paintCons = input(true, "Paint Consolidation Area", group="CONSOLIDATION ZONES") colorZone = input(color.new(color.blue, 70), "Zone Color", group="CONSOLIDATION ZONES") box_ob = input.bool(false, "Toggle Order Block", group="ORDER BLOCK") box_hide_gray = input.bool(false, "Hide gray boxes", group="ORDER BLOCK") bos_type = input.string("High and Low", "MSB trigger", , group="ORDER BLOCK") box_sv = input.bool(true, "Plot demand boxes", group="ORDER BLOCK") box_test_delay = input.int(3, "Delay to count test of demand box", 1, group="ORDER BLOCK") box_fill_delay = input.int(3, "Delay to count fill of demand box", 1, group="ORDER BLOCK") box_test_sv = input.bool(true, "Dim tested demand boxes", group="ORDER BLOCK") box_stop_sv = input.bool(true, "Stop plotting filled demand boxes", group="ORDER BLOCK") eliteVP = input(false, "Elite volume profile", group="ELITE VOLUME PROFILE") colorBorderVP = input(color.new(color.black, 80), "Border color", group="ELITE VOLUME PROFILE") colorBuyVP = input(#7F1623, "Buy volume", group="ELITE VOLUME PROFILE") colorSellVP = input(#00DD00, "Sell volume", group="ELITE VOLUME PROFILE") offset = input.int(2, "Offset", 2, 20, group="ELITE VOLUME PROFILE") lookback = input.int(100, "Lookback", 14, 10000, group="ELITE VOLUME PROFILE") levelNum = input.int(100, "Number of levels", 10, 1000, group="ELITE VOLUME PROFILE") levelWidth = input.int(50, "Level width", 2, 100, group="ELITE VOLUME PROFILE") if auto_button == false sensitivity else if auto_button == true sensitivity := volatility // Functions f_chartTfInMinutes() => float _resInMinutes = timeframe.multiplier * ( timeframe.isseconds ? 1. / 60 : timeframe.isminutes ? 1. : timeframe.isdaily ? 60. * 24 : timeframe.isweekly ? 60. * 24 * 7 : timeframe.ismonthly ? 60. * 24 * 30.4375 : na) atr(len) => tr = ta.tr atr = 0.0 atr := nz(atr + (tr - atr ) / len, tr) supertrend(src, factor, len) => atr = ta.atr(len) upperBand = src + factor * atr lowerBand = src - factor * atr prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or close < prevLowerBand ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or close > prevUpperBand ? upperBand : prevUpperBand int direction = na float superTrend = na prevSuperTrend = superTrend if prevSuperTrend == prevUpperBand direction := close > upperBand ? 1 : -1 else direction := close < lowerBand ? -1 : 1 superTrend := direction == 1 ? lowerBand : direction == -1 ? upperBand : na dchannel(len)=> hh = ta.highest(len) ll = ta.lowest (len) trend = 0 trend := close > hh ? 1 : close < ll ? -1 : nz(trend ) trendScalper(show, len1, len2, len3, colorBull, colorBear, colorBarBull, colorBarBear) => avgOC = math.avg(open, close) ha_o = 0.0, ha_o := na(ha_o ) ? avgOC : (ha_o + ohlc4 ) / 2 ema1 = ta.ema(ha_o, len1), ema2 = ta.ema(ha_o, len2), ema3 = ta.ema(ha_o, len3) ris1 = ema1 > ema1 , ris2 = ema2 > ema2 , ris3 = ema3 > ema3 fal1 = ema1 < ema1 , fal2 = ema2 < ema2 , fal3 = ema3 < ema3 colorEma1 = ris1 ? colorBull : fal1 ? colorBear : na, colorEma2 = ris2 ? colorBull : fal2 ? colorBear : na, colorEma3 = ris3 ? colorBull : fal3 ? colorBear : na fillEma1 = avgOC > ema1 ? colorBull : avgOC < ema1 ? colorBear : na, fillEma2 = ema1 > ema2 ? colorBull : ema1 < ema2 ? colorBear : na, fillEma3 = ema2 > ema3 ? colorBull : ema2 < ema3 ? colorBear : na colorBar = close < ema1 and close < ema2 ? colorBarBear : colorBarBull candlesMom() => = ta.macd(close, 12, 26, 9) (macd > 0 and macd > macd ) or (macd < 0 and macd < macd ) trailingSL(buy, sell, factor, len, usePerc, perc) => atr = atr(len) upperBand = high + (usePerc ? high * (perc / 100) : factor * atr) lowerBand = low - (usePerc ? low * (perc / 100) : factor * atr) prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or buy ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or sell ? upperBand : prevUpperBand int direction = na float stop = na prevSuperTrend = stop if prevSuperTrend == prevUpperBand direction := buy ? 1 : -1 else direction := sell ? -1 : 1 stop := direction == 1 ? lowerBand : direction == -1 ? upperBand : na add_to_zz(zz, val, bi) => array.unshift(zz, bi) array.unshift(zz, val) if array.size(zz) > 12 array.pop(zz) update_zz(zz, val, bi, dir) => if array.size(zz) == 0 add_to_zz(zz, val, bi) else if dir == 1 and val > array.get(zz, 0) or dir == -1 and val < array.get(zz, 0) array.set(zz, 0, val) array.set(zz, 1, bi) 0 float ph = ta.pivothigh(high, 10, 10) float pl = ta.pivotlow (low , 10, 10) LSRstyle = lineSrStyle == "Dashed" ? line.style_dashed : lineSrStyle == "Solid" ? line.style_solid : line.style_dotted prdhighest = ta.highest(300) prdlowest = ta.lowest (300) cwidth = (prdhighest - prdlowest) * 10 / 100 var pivotvals = array.new_float(0) if ph or pl array.unshift(pivotvals, ph ? ph : pl) if array.size(pivotvals) > 20 array.pop(pivotvals) get_sr_vals(ind) => float lo = array.get(pivotvals, ind) float hi = lo int numpp = 0 for y = 0 to array.size(pivotvals) - 1 by 1 float cpp = array.get(pivotvals, y) float wdth = cpp 0 ? array.size(sr_strength) - 1 : na to 0 by 1 if strength ret = true for i = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1 if array.get(sr_up_level, i) >= lo and array.get(sr_up_level, i) = lo and array.get(sr_dn_level, i) = array.get(sr_strength, i) array.remove(sr_strength, i) array.remove(sr_up_level, i) array.remove(sr_dn_level, i) ret else ret := false ret break ret // Get components rsi = ta.rsi(close, 14) vosc = ta.obv - ta.ema(ta.obv, 20) bs = ta.ema(nz(math.abs((open - close) / (high - low) * 100)), 3) ema = ta.ema(close, 200) emaBull = close > ema equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10) securityNoRep(sym, res, src) => bool bull = na bull := equal_tf(res) ? src : bull bull := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src) if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res) bull := array.pop(bull_array) array.clear(bull_array) bull TF1Bull = securityNoRep(syminfo.tickerid, "1" , emaBull) TF3Bull = securityNoRep(syminfo.tickerid, "3" , emaBull) TF5Bull = securityNoRep(syminfo.tickerid, "5" , emaBull) TF10Bull = securityNoRep(syminfo.tickerid, "10" , emaBull) TF15Bull = securityNoRep(syminfo.tickerid, "15" , emaBull) TF30Bull = securityNoRep(syminfo.tickerid, "30" , emaBull) TF60Bull = securityNoRep(syminfo.tickerid, "60" , emaBull) TF120Bull = securityNoRep(syminfo.tickerid, "120" , emaBull) TF240Bull = securityNoRep(syminfo.tickerid, "240" , emaBull) TF720Bull = securityNoRep(syminfo.tickerid, "720" , emaBull) TFDBull = securityNoRep(syminfo.tickerid, "1440", emaBull) ema150 = ta.ema(close, 150) ema250 = ta.ema(close, 250) hma55 = ta.hma(close, 55 ) = ta.macd(close, 12, 26, 9) supertrend = supertrend(ohlc4, sensitivity, 10) maintrend = dchannel(30) confBull = (ta.crossover (close, supertrend) or (ta.crossover (close, supertrend) and maintrend < 0)) and macd > 0 and macd > macd and ema150 > ema250 and hma55 > hma55 and maintrend > 0 confBear = (ta.crossunder(close, supertrend) or (ta.crossunder(close, supertrend) and maintrend > 0)) and macd < 0 and macd < macd and ema150 < ema250 and hma55 < hma55 and maintrend < 0 trendcloud = supertrend(ohlc4, periodTrendCloud == "Long term" ? 7 : 4, 10) hma = fastTrendCloud ? ta.hma(close, fastTrendCloudLen) : na none = close > 0 = ta.dmi(14, 14) consFilter = adx > 20 smartFilter = ta.ema(close, 200) volFilter = (ta.ema(volume, 25) - ta.ema(volume, 26)) / ta.ema(volume, 26) > 0 trendFilter = trendcloud bull = (strategy == "Normal" ? ta.crossover (close, supertrend) : confBull and not confBull ) and strategy != "Trend scalper" and (smartSignalsOnly ? close > smartFilter : none) and (consSignalsFilter ? consFilter : none) and (highVolSignals ? volFilter : none) and (signalsTrendCloud ? (periodTrendCloud == "New" ? ema150 > ema250 : close > trendFilter) : none) bear = (strategy == "Normal" ? ta.crossunder(close, supertrend) : confBear and not confBear ) and strategy != "Trend scalper" and (smartSignalsOnly ? close < smartFilter : none) and (consSignalsFilter ? consFilter : none) and (highVolSignals ? volFilter : none) and (signalsTrendCloud ? (periodTrendCloud == "New" ? ema150 < ema250 : close < trendFilter) : none) countBull = ta.barssince(bull) countBear = ta.barssince(bear) trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0 = trendScalper(strategy == "Trend scalper" ? true : false, 5, 9, 21, color.green, color.red, #00DD00, #DD0000) trailingStop = trailingSL(bull, bear, 2.2, 14, usePercSL, percTrailingSL) float _ph = ta.highestbars(high, periodSwings) == 0 ? high : na float _pl = ta.lowestbars (low, periodSwings) == 0 ? low : na var _dir = 0, dir_ = _pl and na(_ph) ? -1 : _dir, _dir := _ph and na(_pl) ? 1 : dir_, dirChg = ta.change(_dir) var zz = array.new_float(0), zzOld = array.copy(zz) float zzLive = _ph or _pl ? (dirChg ? add_to_zz(zz, _dir == 1 ? _ph : _pl, bar_index) : update_zz(zz, _dir == 1 ? _ph : _pl, bar_index, _dir)) : na aA = ta.wma(srcTrendChannel, lenTrendChannel), b = ta.sma(srcTrendChannel, lenTrendChannel) A = 4 * b - 3 * aA, B = 3 * aA - 2 * b m = (A - B) / (lenTrendChannel - 1) d = 0., for i = 0 to lenTrendChannel - 1 by 1 l = B + m * i d += math.pow(srcTrendChannel - l, 2) rmse = math.sqrt(d / (lenTrendChannel - 1)) * 2 float hb_ = ta.highestbars(lbPeriod) == 0 ? high : na float lb_ = ta.lowestbars (lbPeriod) == 0 ? low : na var int dir = 0 float zz_ = na float pp = na var int consCnt = 0 var float condHi = na var float condLo = na float H_ = ta.highest(lenCons) float L_ = ta.lowest (lenCons) var line lineUp = na var line lineDn = na bool breakUp = false bool breakDn = false var float pvh1_price = array.new_float(1000, na) var int pvh1_time = array.new_int (1000, na) var float pvl1_price = array.new_float(1000, na) var int pvl1_time = array.new_int (1000, na) var float pvh2_price = array.new_float(1000, na) var int pvh2_time = array.new_int (1000, na) var float pvl2_price = array.new_float(1000, na) var int pvl2_time = array.new_int (1000, na) var float htcmrll_price = na var int htcmrll_time = na var float ltcmrhh_price = na var int ltcmrhh_time = na var box long_boxes = array.new_box() var box short_boxes = array.new_box() var float temp_pv_0 = na var float temp_pv_1 = na var float temp_pv_2 = na bool pvh = high < high and high > high bool pvl = low > low and low < low int pv1_time = bar_index float pv1_high = high float pv1_low = low float trigger_high = bos_type == "High and Low" ? high : math.max(open, close) float trigger_low = bos_type == "High and Low" ? low : math.min(open, close) rangeHigh = ta.highest(high, lookback) rangeLow = ta.lowest(low, lookback) rangeHeight = rangeHigh - rangeLow histogramHeight = rangeHeight / levelNum histogramLowList = array.new_float(levelNum, na) histogramHighList = array.new_float(levelNum, na) histogramBuyVolumeList = array.new_float(levelNum, 0.0) histogramSellVolumeList = array.new_float(levelNum, 0.0) var buyBars = array.new_box(365, na) for i = 0 to 364 box.delete(array.get(buyBars, i)) var sellBars = array.new_box(365, na) for i = 0 to 364 box.delete(array.get(sellBars, i)) // Colors green = #00DD00, green50 = color.new(green, 50), green20 = color.new(green, 80) red = #DD0000, red50 = color.new(red, 50), red20 = color.new(red, 80) silver = #B2B5BE, silver50 = color.new(silver, 50), silver20 = color.new(silver, 80) // Plots atrBand = usePercSL ? (trigger ? low : high) * (percTrailingSL / 100) : ta.atr(14) * 2.2 atrStop = trigger ? low - atrBand : high + atrBand lastTrade(src) => ta.valuewhen(bull or bear, src, 0) entry_y = lastTrade(close) stop_y = lastTrade(atrStop) tp1_y = (entry_y-lastTrade(atrStop))*multTP1 + entry_y tp2_y = (entry_y-lastTrade(atrStop))*multTP2 + entry_y tp3_y = (entry_y-lastTrade(atrStop))*multTP3 + entry_y labelTpSl(cond, y, txt, color) => label labelTpSl = enableTpSlAreas and cond ? label.new(bar_index + 1, y, txt, xloc.bar_index, yloc.price, color, label.style_label_left, color.white, size.normal) : na label.delete(labelTpSl ) labelTpSl(none, entry_y, "Entry : " + str.tostring(math.round_to_mintick(entry_y)), color.orange) labelTpSl(none, stop_y , "Stop loss : " + str.tostring(math.round_to_mintick(atrStop)), color.red) labelTpSl(useTP1 and multTP1 != 0, tp1_y, "TP 1 : " + str.tostring(math.round_to_mintick(tp1_y)), color.green) labelTpSl(useTP2 and multTP2 != 0, tp2_y, "TP 2 : " + str.tostring(math.round_to_mintick(tp2_y)), color.green) labelTpSl(useTP3 and multTP3 != 0, tp3_y, "TP 3 : " + str.tostring(math.round_to_mintick(tp3_y)), color.green) lineTpSl(cond, y, color, style) => line lineTpSl = enableTpSlAreas and cond ? line.new(bar_index - (trigger ? countBull : countBear), y, bar_index + 1, y, xloc.bar_index, extend.none, color, style) : na line.delete(lineTpSl ) lineTpSl(none, entry_y, color.orange, line.style_dashed) lineTpSl(none, stop_y , color.red , line.style_solid ) lineTpSl(useTP1 and multTP1 != 0, tp1_y, color.green, line.style_dotted) lineTpSl(useTP2 and multTP2 != 0, tp2_y, color.green, line.style_dotted) lineTpSl(useTP3 and multTP3 != 0, tp3_y, color.green, line.style_dotted) var dashboard_loc = locationDashboard == "Top right" ? position.top_right : locationDashboard == "Top left" ? position.top_left : locationDashboard == "Middle right" ? position.middle_right : locationDashboard == "Middle left" ? position.middle_left : locationDashboard == "Bottom right" ? position.bottom_right : position.bottom_left var dashboard_size = sizeDashboard == "Tiny" ? size.tiny : sizeDashboard == "Small" ? size.small : size.normal var dashboard = table.new(dashboard_loc, 2, 20, colorBackground, colorFrame, 3, colorBorder, 3) dashboard_cell(column, row, txt) => table.cell(dashboard, column, row, txt, 0, 0, color.white, text_size=dashboard_size) dashboard_cell_bg(column, row, col) => table.cell_set_bgcolor(dashboard, column, row, col) if barstate.islast and enableDashboard dashboard_cell(0, 0 , "Current strategy") dashboard_cell(0, 1 , "Current sensitivity") dashboard_cell(0, 2 , "Current Position") dashboard_cell(0, 3 , "Current trend") dashboard_cell(0, 4 , "Trend strength") dashboard_cell(0, 5 , "Volume") dashboard_cell(0, 6 , "Volatility") dashboard_cell(0, 7 , "Momentum") dashboard_cell(0, 8 , "Timeframe trends?"), table.merge_cells(dashboard, 0, 8, 1, 8) dashboard_cell(0, 9 , "1 min") dashboard_cell(0, 10, "3 min") dashboard_cell(0, 11, "5 min") dashboard_cell(0, 12, "10 min") dashboard_cell(0, 13, "15 min") dashboard_cell(0, 14, "30 min") dashboard_cell(0, 15, "1 Hour") dashboard_cell(0, 16, "2 Hour") dashboard_cell(0, 17, "4 Hour") dashboard_cell(0, 18, "12 Hour") dashboard_cell(0, 19, "Daily") dashboard_cell(1, 0 , strategy) dashboard_cell(1, 1 , str.tostring(sensitivity)) dashboard_cell(1, 2 , strategy != "Trend scalper" ? (trigger ? "Buy" : "Sell") : ""), dashboard_cell_bg(1, 2, strategy != "Trend scalper" ? (trigger ? color.green : color.red) : colorBackground) dashboard_cell(1, 3 , emaBull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 3, emaBull ? color.green : color.red) dashboard_cell(1, 4 , str.tostring(bs, "0.0") + " %") dashboard_cell(1, 5 , vosc > 0 ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 5, vosc > 0 ? color.green : color.red) dashboard_cell(1, 6 , adx > 20 ? "Trending ?" : "Ranging ⚠️"), dashboard_cell_bg(1, 6, adx > 20 ? color.green : color.orange) dashboard_cell(1, 7 , rsi > 50 ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 7, rsi > 50 ? color.green : color.red) dashboard_cell(1, 9 , TF1Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 9 , TF1Bull ? color.green : color.red) dashboard_cell(1, 10, TF3Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 10, TF3Bull ? color.green : color.red) dashboard_cell(1, 11, TF5Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 11, TF5Bull ? color.green : color.red) dashboard_cell(1, 12, TF10Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 12, TF10Bull ? color.green : color.red) dashboard_cell(1, 13, TF15Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 13, TF15Bull ? color.green : color.red) dashboard_cell(1, 14, TF30Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 14, TF30Bull ? color.green : color.red) dashboard_cell(1, 15, TF60Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 15, TF60Bull ? color.green : color.red) dashboard_cell(1, 16, TF120Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 16, TF120Bull ? color.green : color.red) dashboard_cell(1, 17, TF240Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 17, TF240Bull ? color.green : color.red) dashboard_cell(1, 18, TF720Bull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 18, TF720Bull ? color.green : color.red) dashboard_cell(1, 19, TFDBull ? "Bullish" : "Bearish"), dashboard_cell_bg(1, 19, TFDBull ? color.green : color.red) l(css, k) => line lr = enableAutoTrend ? line.new(bar_index - lenTrendChannel + 1, A + k, bar_index, B + k, extend=extend.right, color=css) : na line.delete(lr ) l(color.blue, rmse), l(color.blue, 0), l(color.blue, -rmse) // //============================================================================= // INDICATOR 11 - Trend Confidence //============================================================================ // CCI TM_Long = ta.cci(close, 14) > 0 TM_Short = ta.cci(close, 14) < 0 //color1 = ta.cci(close, 5) >= 0 ? #0022FC : #FC0400 //plot(MagicTrend, color=color1, linewidth=3) // ADX lenadx = 21 lensig = 21 limadx = 34 ADX_up = ta.change(high) ADX_down = -ta.change(low) trur = ta.rma(ta.tr, lenadx) plus = fixnan(100 * ta.rma(ADX_up > ADX_down and ADX_up > 0 ? ADX_up : 0, lenadx) / trur) minus = fixnan(100 * ta.rma(ADX_down > ADX_up and ADX_down > 0 ? ADX_down : 0, lenadx) / trur) sum = plus + minus adxxs = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), lensig) macol = adxxs > limadx and plus > minus ? color.lime : adxxs > limadx and plus < minus ? color.red : color.black ADX_Long = adxxs > limadx and plus > minus ADX_Short = adxxs > limadx and plus < minus //Acumulation/Distribution ACC_Dist = ta.sma(ta.accdist, 34) ACC_Long = ta.accdist > ACC_Dist ACC_Short = ta.accdist < ACC_Dist // MFI MFI = ta.mfi(close , 21) MFI_SMA = ta.sma (MFI, 13) MFI_Long = MFI > MFI_SMA MFI_Short = MFI < MFI_SMA // Momentum Linear Regression mom = ta.mom(close, 21) lrmom = ta.linreg(mom, 28, 0) MOML_Long = lrmom > lrmom MOML_Short = lrmom < lrmom // entry_long = true entry_short = true Long_Signal_Strength = 0 Short_Signal_Strength = 0 if entry_long if TM_Long Long_Signal_Strength += 1 if ADX_Long Long_Signal_Strength += 1 if ACC_Long Long_Signal_Strength += 1 if MFI_Long Long_Signal_Strength += 1 if MOML_Long Long_Signal_Strength += 1 if entry_short if TM_Short Short_Signal_Strength += 1 if ADX_Short Short_Signal_Strength += 1 if ACC_Short Short_Signal_Strength += 1 if MFI_Short Short_Signal_Strength += 1 if MOML_Short Short_Signal_Strength += 1 //Plot Buy/Sell Signals on chart smartbuysigtex = "Smart Buy\n" + str.tostring(Long_Signal_Strength) + "⭐️" smartselsigtex = str.tostring(Short_Signal_Strength) + "⭐️\n" + "Smart Sell" buysigtex = "Buy\n" + str.tostring(Long_Signal_Strength) + "⭐️" selsigtex = str.tostring(Short_Signal_Strength) + "⭐️\n" + "Sell" enter_Long_Text = close > smartFilter ? smartbuysigtex : buysigtex enter_Short_Text = close < smartFilter ? smartselsigtex : selsigtex // buy = showSignals and bull ? label.new(bar_index, low ,enter_Long_Text , xloc.bar_index, yloc.belowbar, color.green, label.style_label_up , color.white, size.normal) : na sell = showSignals and bear ? label.new(bar_index, high,enter_Short_Text , xloc.bar_index, yloc.abovebar, color.red , label.style_label_down, color.white, size.normal) : na // tpLabels(tp) => tp1Bull = ta.crossover (rsi, 70), tp2Bull = ta.crossover (rsi, 75), tp3Bull = ta.crossover (rsi, 80) tp1Bear = ta.crossunder(rsi, 30), tp2Bear = ta.crossunder(rsi, 25), tp3Bear = ta.crossunder(rsi, 20) tp1Bull := tp1Bull and (nz(ta.barssince(tp1Bull) , 9999) > countBull), tp2Bull := tp2Bull and (ta.barssince(tp1Bull) countBull), tp3Bull := tp3Bull and (ta.barssince(tp2Bull) countBull) tp1Bear := tp1Bear and (nz(ta.barssince(tp1Bear) , 9999) > countBear), tp2Bear := tp2Bear and (ta.barssince(tp1Bear) countBear), tp3Bear := tp3Bear and (ta.barssince(tp2Bear) countBear) if strategy != "Trend scalper" and tpLabels trigger ? (tp == 1 ? tp1Bull : tp == 2 ? tp2Bull : tp3Bull) : (tp == 1 ? tp1Bear : tp == 2 ? tp2Bear : tp3Bear) plotshape(tpLabels(1), "", shape.cross, location.abovebar, trigger ? green : na , 0, "TP 1", trigger ? green : na , false) plotshape(tpLabels(2), "", shape.cross, location.abovebar, trigger ? green : na , 0, "TP 2", trigger ? green : na , false) plotshape(tpLabels(3), "", shape.cross, location.abovebar, trigger ? green : na , 0, "TP 3", trigger ? green : na , false) plotshape(tpLabels(1), "", shape.cross, location.belowbar, trigger ? na : red, 0, "TP 1", trigger ? na : red, false) plotshape(tpLabels(2), "", shape.cross, location.belowbar, trigger ? na : red, 0, "TP 2", trigger ? na : red, false) plotshape(tpLabels(3), "", shape.cross, location.belowbar, trigger ? na : red, 0, "TP 3", trigger ? na : red, false) var label zzLabel = na if array.size(zz) > 12 and enableSwings if array.get(zz, 0) != array.get(zzOld, 0) or array.get(zz, 1) != array.get(zzOld, 1) if array.get(zz, 2) == array.get(zzOld, 2) and array.get(zz, 3) == array.get(zzOld, 3) label.delete(zzLabel) zzLabel := label.new(math.round(array.get(zz, 1)), array.get(zz, 0), _dir == 1 ? array.get(zz, 0) > array.get(zz, 4) ? ((array.get(zz, 4) < array.get(zz, 8)) ? "High" : "HH") : "LH" : array.get(zz, 0) < array.get(zz, 4) ? ((array.get(zz, 4) > array.get(zz, 8)) ? "Low" : "LL") : "HL", xloc.bar_index, yloc.price, color.new(color.white, 100), _dir == 1 ? label.style_label_down : label.style_label_up, _dir == 1 ? color.green : color.red) var sr_lines = array.new_line(11, na) for x = 1 to 10 by 1 line.set_color(array.get(sr_lines, x), color=line.get_y1(array.get(sr_lines, x)) >= close ? color.red : color.lime) if ph or pl array.clear(sr_up_level) array.clear(sr_dn_level) array.clear(sr_strength) for x = 0 to array.size(pivotvals) - 1 by 1 = get_sr_vals(x) if check_sr(hi, lo, strength) loc = find_loc(strength) if loc < 5 and strength >= 2 array.insert(sr_strength, loc, strength) array.insert(sr_up_level, loc, hi) array.insert(sr_dn_level, loc, lo) if array.size(sr_strength) > (enableSR ? 5 : 0) array.pop(sr_strength) array.pop(sr_up_level) array.pop(sr_dn_level) for x = 1 to 10 by 1 line.delete(array.get(sr_lines, x)) for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1 float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2) rate = 100 * (mid - close) / close array.set(sr_lines, x + 1, line.new(x1=bar_index, y1=mid, x2=bar_index - 1, y2=mid, extend=extend.both, color=mid >= close ? color.red : color.lime, style=LSRstyle, width=lineSrWidth)) if showCons and barstate.isconfirmed dir := hb_ and na(lb_) ? 1 : lb_ and na(hb_) ? -1 : dir if hb_ and lb_ if dir == 1 zz_ := hb_ else zz_ := lb_ else zz_ := hb_ ? hb_ : lb_ ? lb_ : na for x = 0 to 1000 if na(close) or dir != dir break if zz_ if na(pp) pp := zz_ else if dir == 1 and zz_ > pp pp := zz_ if dir == -1 and zz_ < pp pp := zz_ if pp != pp if consCnt > lenCons if pp > condHi breakUp := true if pp < condLo breakDn := true if consCnt > 0 and pp = condLo consCnt += 1 else consCnt := 0 else consCnt += 1 if consCnt >= lenCons if consCnt == lenCons condHi := H_ condLo := L_ else line.delete(lineUp) line.delete(lineDn) condHi := math.max(condHi, high) condLo := math.min(condLo, low ) lineUp := line.new(bar_index, condHi , bar_index - consCnt, condHi , color=color.red , style=line.style_dashed) lineDn := line.new(bar_index, condLo , bar_index - consCnt, condLo , color=color.lime, style=line.style_dashed) fill(plot(condHi, "", na, 1, plot.style_stepline, editable=false), plot(condLo, "", na, 1, plot.style_stepline, editable=false), paintCons and consCnt > lenCons ? colorZone : na, "", false) if box_ob and barstate.isconfirmed if pvh array.pop(pvh1_price) array.pop(pvh1_time) array.unshift(pvh1_price, pv1_high) array.unshift(pvh1_time, pv1_time) if array.size(pvh1_price) > 2 temp_pv_0 := array.get(pvh1_price, 0) temp_pv_1 := array.get(pvh1_price, 1) temp_pv_2 := array.get(pvh1_price, 2) if temp_pv_0 > temp_pv_1 for i = 0 to array.size(pvl1_time) - 1 by 1 temp_ltcmrhh_time = array.get(pvl1_time, i) if temp_ltcmrhh_time < array.get(pvh1_time, 0) ltcmrhh_price := array.get(pvl1_price, i) ltcmrhh_time := temp_ltcmrhh_time break if temp_pv_0 < temp_pv_1 and temp_pv_1 > temp_pv_2 array.pop(pvh2_price) array.pop(pvh2_time) array.unshift(pvh2_price, temp_pv_1) array.unshift(pvh2_time, array.get(pvh1_time, 1)) if pvl array.pop(pvl1_price) array.pop(pvl1_time) array.unshift(pvl1_price, pv1_low) array.unshift(pvl1_time, pv1_time) if array.size(pvl1_price) > 2 temp_pv_0 := array.get(pvl1_price, 0) temp_pv_1 := array.get(pvl1_price, 1) temp_pv_2 := array.get(pvl1_price, 2) if temp_pv_0 < temp_pv_1 for i = 0 to array.size(pvh1_time) - 1 by 1 temp_htcmrll_time = array.get(pvh1_time, i) if temp_htcmrll_time < array.get(pvl1_time, 0) htcmrll_price := array.get(pvh1_price, i) htcmrll_time := temp_htcmrll_time break if temp_pv_0 > temp_pv_1 and temp_pv_1 < temp_pv_2 array.pop(pvl2_price) array.pop(pvl2_time) array.unshift(pvl2_price, temp_pv_1) array.unshift(pvl2_time, array.get(pvl1_time, 1)) if trigger_high > htcmrll_price if box_sv loBox = box.new(left=array.get(pvl1_time, 0), top=math.min(high , high ), right=bar_index, bottom=array.get(pvl1_price, 0), bgcolor=color.rgb(0, 255, 0, 80), border_color=color.rgb(0, 255, 0, 80), extend=extend.right) if array.size(long_boxes) >= 25 box.delete(array.shift(long_boxes)) array.push(long_boxes, loBox) htcmrll_price := na htcmrll_price if trigger_low < ltcmrhh_price if box_sv hiBox = box.new(left=array.get(pvh1_time, 0), top=array.get(pvh1_price, 0), right=bar_index, bottom=math.max(low , low ), bgcolor=color.rgb(255, 0, 0, 80), border_color=color.rgb(255, 0, 0, 80), extend=extend.right) if array.size(short_boxes) >= 25 box.delete(array.shift(short_boxes)) array.push(short_boxes, hiBox) ltcmrhh_price := na ltcmrhh_price if array.size(short_boxes) > 0 for i = array.size(short_boxes) - 1 to 0 by 1 tbox = array.get(short_boxes, i) top = box.get_top(tbox) bottom = box.get_bottom(tbox) if trigger_high > bottom and box.get_left(tbox) + box_test_delay < bar_index and box_test_sv if box_hide_gray box.set_bgcolor(tbox, #00000000) box.set_border_color(tbox, #00000000) else box.set_bgcolor(tbox, color.rgb(192, 192, 192, 80)) box.set_border_color(tbox, color.rgb(192, 192, 192, 80)) if trigger_high > top and box.get_left(tbox) + box_fill_delay < bar_index if box_stop_sv box.set_right(tbox, bar_index) box.set_extend(tbox, extend.none) array.remove(short_boxes, i) if array.size(long_boxes) > 0 for i = array.size(long_boxes) - 1 to 0 by 1 lbox = array.get(long_boxes, i) top = box.get_top(lbox) bottom = box.get_bottom(lbox) if trigger_low < top and box.get_left(lbox) + box_test_delay < bar_index and box_test_sv if box_hide_gray box.set_bgcolor(lbox, #00000000) box.set_border_color(lbox, #00000000) else box.set_bgcolor(lbox, color.rgb(192, 192, 192, 80)) box.set_border_color(lbox, color.rgb(192, 192, 192, 80)) if trigger_low < bottom and box.get_left(lbox) + box_fill_delay < bar_index if box_stop_sv box.set_right(lbox, bar_index) box.set_extend(lbox, extend.none) array.remove(long_boxes, i) if barstate.islast and eliteVP for i = 0 to levelNum - 1 histogramLow = rangeLow + histogramHeight * i histogramHigh = rangeLow + histogramHeight * (i + 1) array.set(histogramLowList, i, histogramLow) array.set(histogramHighList, i, histogramHigh) for i = 0 to lookback - 1 currentBarHeight = high - low currentBuyVolume = high == low ? 0 : volume * (close - low ) / currentBarHeight currentSellVolume = high == low ? 0 : volume * (high - close ) / currentBarHeight for j = 0 to levelNum - 1 histogramLow = array.get(histogramLowList, j) histogramHigh = array.get(histogramHighList, j) target = math.max(histogramHigh, high ) - math.min(histogramLow, low ) - (math.max(histogramHigh, high ) - math.min(histogramHigh, high )) - (math.max(histogramLow, low ) - math.min(histogramLow, low )) histogramVolumePercentage = target / currentBarHeight histogramBuyVolume = array.get(histogramBuyVolumeList, j) histogramSellVolume = array.get(histogramSellVolumeList, j) if histogramVolumePercentage > 0 array.set(histogramBuyVolumeList, j, histogramBuyVolume + currentBuyVolume * histogramVolumePercentage) array.set(histogramSellVolumeList, j, histogramSellVolume + currentSellVolume * histogramVolumePercentage) highestHistogramVolume = 0.0 for i = 0 to levelNum - 1 histogramBuyVolume = array.get(histogramBuyVolumeList, i) histogramSellVolume = array.get(histogramSellVolumeList, i) histogramVolume = histogramBuyVolume + histogramSellVolume highestHistogramVolume := math.max(highestHistogramVolume, histogramVolume) highestHistogramVolume for i = 0 to levelNum - 1 histogramLow = array.get(histogramLowList, i) histogramHigh = array.get(histogramHighList, i) histogramBuyVolume = array.get(histogramBuyVolumeList, i) histogramSellVolume = array.get(histogramSellVolumeList, i) histogramVolume = histogramBuyVolume + histogramSellVolume histogramWidth = levelWidth * histogramVolume / highestHistogramVolume histogramBuyWidth = math.floor(histogramWidth * histogramBuyVolume / histogramVolume) histogramSellWidth = math.floor(histogramWidth * histogramSellVolume / histogramVolume) array.set(buyBars , i, box.new(bar_index + offset + levelWidth - 1 - histogramBuyWidth, histogramHigh, bar_index + offset + levelWidth - 1 , histogramLow, colorBorderVP, bgcolor=colorBuyVP )) array.set(sellBars, i, box.new(bar_index + offset + levelWidth - 1 - histogramBuyWidth, histogramHigh, bar_index + offset + levelWidth - 1 - histogramBuyWidth - histogramSellWidth, histogramLow, colorBorderVP, bgcolor=colorSellVP)) barcolor(momentumCandles and candlesMom() ? color.purple : candleColors ? (strategy == "Trend scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? green : red) : na, editable=false) fill(plot(showTrendCloud and periodTrendCloud == "New" ? ema150 : na, "", na, editable=false), plot(showTrendCloud and periodTrendCloud == "New" ? ema250 : na, "", na, editable=false), ema150 > ema250 ? color.new(color.green, 70) : ema150 < ema250 ? color.new(color.red, 70) : na) plot(enableTrailingSL and trigger and nz(ta.barssince(low < trailingStop), bar_index) > countBull ? trailingStop : na, "", green, 1, plot.style_linebr, editable=false) plot(enableTrailingSL and not trigger and nz(ta.barssince(high > trailingStop), bar_index) > countBear ? trailingStop : na, "", red , 1, plot.style_linebr, editable=false) p0 = plot(avgOC, "", na , editable=false) p1 = plot(ema5 , "", colorEma5 , editable=false) p2 = plot(ema9 , "", colorEma9 , editable=false) p3 = plot(ema21, "", colorEma21, editable=false) fill(p0, p1, fillEma5 ) fill(p1, p2, fillEma9 ) fill(p2, p3, fillEma21) fill(plot(showTrendCloud and periodTrendCloud != "New" and trendcloud != 0 and close > trendcloud ? trendcloud : na, "", color.green, 1, plot.style_linebr, editable=false), p0, color.new(color.green, 90)) fill(plot(showTrendCloud and periodTrendCloud != "New" and trendcloud != 0 and close < trendcloud ? trendcloud : na, "", color.red , 1, plot.style_linebr, editable=false), p0, color.new(color.red , 90)) fill(plot(hma, "", hma > hma ? green : hma < hma ? red : na, editable=false), plot(hma , "", hma > hma ? green : hma < hma ? red : na, editable=false), hma > hma ? green : hma < hma ? red : na) // Alerts f_crossed_over() => ret = false for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1 float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2) if close mid ret := true ret ret f_crossed_under() => ret = false for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1 float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2) if close >= mid and close < mid ret := true ret ret f_sl_crossed() => ret = false stop = enableTrailingSL ? trailingStop : stop_y crossBull = low >= stop and low < stop and ta.barssince(low >= stop and low < stop ) >= countBull - 1 crossBear = high stop and ta.barssince(high stop ) >= countBear - 1 ret := trigger ? crossBull : crossBear f_tp_crossed(tp) => ret = false profit = tp crossBull = high profit and ta.barssince(high profit ) >= countBull - 1 crossBear = low >= profit and low < profit and ta.barssince(low >= profit and low < profit ) >= countBear - 1 ret := trigger ? crossBull : crossBear alert01 = (bull and close = smartFilter) alert02 = bull or bear alert03 = (bull and close > smartFilter) or (bear and close < smartFilter) alert04 = bull and close = smartFilter alert07 = bull and close > smartFilter alert08 = bear and close < smartFilter alert09 = f_sl_crossed() alert10 = f_crossed_under() alert11 = f_tp_crossed(tp1_y) alert12 = f_tp_crossed(tp2_y) alert13 = f_tp_crossed(tp3_y) alert14 = periodTrendCloud == "New" ? ta.crossunder(ema150, ema250) : (close < trendcloud) and (close > trendcloud) alert15 = periodTrendCloud == "New" ? ta.crossover (ema150, ema250) : (close > trendcloud) and (close < trendcloud) alerts(sym) => if alert01 or alert02 or alert03 or alert04 or alert05 or alert06 or alert07 or alert08 or alert09 or alert10 or alert11 or alert12 or alert13 or alert14 or alert15 alert("NEW ALERT", alert.freq_once_per_bar_close) alerts(syminfo.tickerid) alertcondition(alert01, "Any Signal Buy / sell", "Buy or Sell") alertcondition(alert02, "Any signal Buy/Smart Buy or Sell/Smart Sell", "Buy/Smart Buy or Sell/Smart Sell") alertcondition(alert03, "Any signal Smart Buy / Smart Sell", "Smart Buy or Smart Sell") alertcondition(alert04, "Buy alert", "Buy") alertcondition(alert05, "Resistance Broken", "Resistance Broken") alertcondition(alert06, "Sell alert", "Sell") alertcondition(alert07, "Smart Buy", "Smart Buy") alertcondition(alert08, "Smart Sell", "Smart Sell") alertcondition(alert09, "Stop loss", "Stop loss") alertcondition(alert10, "Support Broken", "Support Broken") alertcondition(alert11, "Target 1", "Target 1") alertcondition(alert12, "Target 2", "Target 2") alertcondition(alert13, "Target 3", "Target 3") alertcondition(alert14, "Trend cloud Bearish Alert", "Trend cloud Bearish") alertcondition(alert15, "Trend cloud Bullish Alert", "Trend cloud Bullish") // Watermark //text inputs //symbol info symInfoCheck = false symInfo = syminfo.ticker + ' | ' + timeframe.period + (timeframe.isminutes ? 'M' : na) date = str.tostring(dayofmonth(time_close)) + '/' + str.tostring(month(time_close)) + '/' + str.tostring(year(time_close)) //text positioning textVPosition = 'middle' textHPosition = 'center' //symbol info positioning symVPosition = 'top' symHPosition = 'left' //cell size width = 0 height = 0 //title settings c_title = color.new(color.orange, 0) s_title = 'large' a_title = 'center' //subtitle settings c_subtitle = color.new(color.orange, 50) s_subtitle = 'normal' a_subtitle = 'center' //symbol settings c_symInfo = color.new(color.orange, 50) s_symInfo = 'normal' a_symInfo = 'center' c_bg = color.new(color.blue, 100)
Measuring SPX real valuation (SPX versus money supply) Spx is on its way to recovering the 2000 all time high that wa seen in the dot com bubble. The real valuation has never recovered this point. This fractal is very similar to the 25 year recovery from the 1930 crash is this lining up for continued bullish momentum into a new territory of value for Equities as Ai ushers in real value creation to companies and economies in the US and around the world. Hmmmm. Bullish? Rethinking this after Real valuation highs have been broken (see related posts) and since i believe that this is justified since technological innovation is driving more value to equity versus other investment types (bonds, commodies, maybe even land) . *****Land is interesting since new technology makes land more productive you actually need less of it to do the same things. very very interesting, but i would not count against it as a store of value as more dollars are printed.*** fun times. lets see what this looks like in the future
As of February 11, 2025, the XAG/USD (Silver Spot/US Dollar) exchange rate exhibits a positive medium-term trend despite a recent short-term slowdown. Currently, the price is around $32.83 per ounce at the time of writing. The first resistance level is identified at $32.24, followed by a second resistance at $32.96. The first support level is at $31.52, with an additional support at $31.21. In the short term, a weakening of the bullish trendline is observed, with the price testing the high at $32.24. Technically, a potential decline towards the $31.21 support level remains possible. Recent political decisions, such as the announcement of a 25% tariff on all steel and aluminum imports to the United States, have impacted financial markets, leading to an appreciation of the US dollar and a decline in stocks. These developments could affect the precious metals market, including silver. Despite the positive medium-term trend, silver is currently undergoing a consolidation phase in the short term.