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ES/NQ Price Action Sync See when ES & NQ move in syncSee when ES & NQ move in sync — revealing real market momentum at a glance.” ⚖️ ES/NQ Price Action Sync Discover when the market moves as one. This indicator tracks when S&P 500 Futures (ES1!) and Nasdaq Futures (NQ1!) align in momentum — helping you spot broad-market confirmation or early divergence in real time. 🧠 Concept The ES/NQ relationship often reveals the market’s underlying strength or hesitation. When both indices turn bullish or bearish together with meaningful movement, that’s a sign of true market alignment. When they disagree — expect mixed momentum and possible reversals. ⚙️ Features ✅ Highlights new bullish and bearish syncs on chart ✅ Dynamic info table showing % change and direction for each index ✅ Optional triangle markers for clean visual cues ✅ Alert conditions for new sync events ✅ Adjustable lookback and minimum-move filters 💡 How to Use Use this as a market-context tool, not a direct buy/sell signal. When both indices sync, intraday trends often hold better; when they diverge, momentum may fade. Combine it with your own system or higher-time-frame analysis for confirmation. 📊 Why Traders Love It Simple idea — powerful insight. This tool helps traders instantly see when “the market machine” is running in harmony… or pulling in opposite directions. ⚠️ Disclaimer: This script is for educational and analytical purposes only. It does not provide financial advice or trading signals. Always perform your own research before making trading decisions.
Indicatore Pine Script®
di profitgang
US Government Shutdowns – Full History (with durations)이 지표는 1976년 이후 실제로 정부 기능이 중단된 모든 미국 정부 셧다운 기간을 시각화합니다. S&P500 또는 지정한 심볼 차트 위에 각 셧다운 구간을 세로선과 음영 박스로 표시하고, 각 기간의 지속일수(일) 라벨을 함께 제공합니다. 데이터 출처: 미국 하원 공식 기록 (U.S. House History – Funding Gaps and Shutdowns in the Federal Government) 기능 • 모든 셧다운 구간 자동 표시 • 음영/세로선/라벨 개별 On-Off 가능 • 진행 중인 셧다운은 자동으로 ‘현재 시점까지’ 확장 표시 시장 변동성 분석, 정책 이벤트 리스크 평가, 장기 매크로 백테스트 등에 유용합니다. This indicator visualizes all official US government shutdown periods since 1976 directly on any selected chart (default: S&P 500). Each shutdown period is shown with vertical lines and shaded boxes, along with labels indicating the duration in days. Data Source: U.S. House History – Funding Gaps and Shutdowns in the Federal Government Features: • Displays every historical shutdown automatically • Optional shading, lines, and duration labels • Ongoing shutdowns dynamically extend to the current date Useful for analyzing volatility around fiscal policy events and long-term macro correlations.
Indicatore Pine Script®
di Tommy_Trader
Kairi Relative Index Upgrated v1Kairi Relative Index Upgraded v1 — how far from “fair” are we, right now? Most oscillators mash together price and momentum in ways that are hard to explain to a new trader. KRI is refreshingly simple: it measures how far price is from its moving average, as a percent of that average. KRI = 100 × (Price − SMA) / SMA Above 0 → price is above its average (stretched up). Below 0 → price is below its average (stretched down). The farther from 0, the more stretched we are from the mean. This upgraded version keeps the pane clean (zero line, colored KRI, optional guide rails at +Line Above / Line Below) so you can read extension, reversion pressure, and reclaims at a glance—on any timeframe. (If you add screenshots: image #1 should label the zero line and ± threshold lines; image #2 should show a textbook “overshoot at VAH/VAL + KRI extreme → rotate back to POC.”) What you’re seeing (and how to read it fast) KRI line Green when KRI ≥ 0 (price above SMA) Red when KRI < 0 (price below SMA) Zero line = the moving average itself (no stretch). Guide lines (default +10/−10) = “This is pretty far for this setting.” Treat these as review-and-decide zones, not auto-trade signals. Three quick reads: Magnitude: how far from the mean (size of KRI). Direction: above/below zero (which side of the mean). Turn: KRI curling back toward zero (reversion starting) or accelerating away (trend impulse continuing). What KRI really measures (plain-English) The SMA(length) is your “fair value” line for this indicator. KRI tells you the percentage deviation from that fair value—normalized, so you can compare across assets/timeframes with the same length. Because it’s a pure distance metric, KRI excels at: spotting over-extensions into VP edges (VAH/VAL) and AVWAP, timing mean-reversion back to POC/AVWAP in balance, confirming reclaims (KRI crossing back through zero at a level), framing pullbacks in trend (healthy dips usually avoid deep negative KRI in strong uptrends). Using KRI on any timeframe The workflow is always Location → Flow → KRI: Location: a real level (Volume Profile v3.2’s VAH/VAL/POC/LVNs or Anchored VWAP). Flow quality: check CVDv1 (Alignment OK? Absorption not red?). KRI: are we stretched into/away from the level, and is KRI turning? Scalping (1–5m) Fade the stretch (balance): At VAH/VAL or Session AVWAP, an extreme KRI that rolls back toward zero = quick rotation to the middle (POC/AVWAP). Don’t fade if bands are expanding and flow is strong (CVDv1 says go) — big KRI can stay big in expansion. Intraday (15m–1H) Continuation after pullback: In uptrends, look for shallow negative KRI at support (VAL/AVWAP) that turns up → join trend. Failed breakout tell: Price pokes above VAH but KRI barely increases or rolls over quickly → likely a reclaim back inside value. Swing (2H–4H) Edge-to-mean rotations: At composite VAH/VAL, KRI extremes are great context: fade back to POC/HVNs if flow doesn’t confirm a breakout. Reclaim confirmation: After a flush below Weekly AVWAP, KRI crossing back up through zero on the reclaim bar is a clean green light. Position (1D–1W) Regime posture: Multi-day runs with sustained positive KRI (and shallow dips) = constructive; mirror for downtrends. Use KRI pullbacks to ~0 at Weekly AVWAP for adds. Entries, exits, and risk (simple rules) Mean-reversion entry: At VAH/VAL or AVWAP, wait for KRI extreme at/through your guide line and a turn back toward zero. Stop: just beyond the level; Target: POC/HVN or the zero line on KRI. Trend-continuation entry: In a trend, take pullbacks where KRI stays modest (doesn’t blow through your lower/upper guide) and turns back with the trend at the level. Avoid: chasing breakouts where KRI is already extreme and still climbing unless CVDv1 says Alignment OK + no Absorption and you have a clean retest. Settings that matter (and how to tune them) Length (default 50): defines the moving average “fair value.” Shorter (20–34): faster, more signals, more noise—good for intraday. Longer (50–100): steadier, better for swings/position. Source (default close): keep it simple; hlc3 or close both work. Line Above / Below (defaults +10/−10): your review zones. Tune them to the asset/timeframe: Scroll back 6–12 months and eyeball typical |KRI| spikes. Set your lines around the 80th–90th percentile of |KRI| for that market and length. Majors often need smaller thresholds than thin alts on the same timeframe. Tip: If your KRI is always beyond the lines, increase length or widen the thresholds. If it never touches them, shorten length or tighten thresholds. What to look for (pattern cheat sheet) Stretch into level → curl: KRI tags an extreme right at VAH/VAL/AVWAP, then turns back → classic rotation. Shallow pullback in trend: KRI dips toward zero but doesn’t hit your lower guide, then turns up at support → continuation. No-juice break: New price high with weaker KRI (smaller positive % vs prior leg) → breakout lacks extension; plan for retest or reclaim. Zero-line reclaims: After a washout, KRI crosses zero as price reclaims AVWAP/VAL → clean confirmation. Combining KRI with other tools Cumulative Volume Delta v1 (CVDv1): Use KRI for stretch/turn, CVDv1 for quality. A KRI extreme at VAH with CVDv1 Absorption (red) is a do-not-chase; look for the fail/reclaim. A KRI pullback toward zero at VAL with Alignment OK + strong Imbalance + no Absorption = high-quality continuation. Volume Profile v3.2: KRI’s best signals happen at VAH/VAL/POC/LVNs. LVN traversals with rising KRI often run quickly to the next HVN—use VP for targets. Anchored VWAP : Treat AVWAP as fair-value rails. KRI zero cross on an AVWAP reclaim is your green flag; KRI extreme + failure to accept beyond AVWAP warns of a fake break. Common pitfalls KRI helps you avoid Buying high into a tired move: KRI already very positive at VAH and rolling over = likely rotation; wait. Fading true expansion: In strong trends with confirmed flow, KRI can remain extreme; don’t automatically fade just because it’s “far.” Wrong thresholds: Copy-pasting ±10 to every market/timeframe can mislead. Calibrate to the market you trade. Practical defaults to start with Length: 50 Lines: +10 / −10 as placeholders—calibrate later. Timeframes: great out of the box on 15m–4H; for 1–5m try Length 34 and tighter lines; for daily swings try Length 100 and broader lines. Process: Level → CVDv1 quality → KRI stretch/turn. If any of the three disagree, wait for the retest. Disclaimer & Licensing This indicator and its description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including the possible loss of capital. makes no warranties and assumes no responsibility for any decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results. Use at your own risk. Licensing & Attribution: Copyright (c) 2018–present, Alex Orekhov (everget). Modified and upgraded by . The original “Kairi Relative Index” is released under the MIT License, and this derivative is distributed under the MIT License as well. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files to deal in the Software without restriction, subject to the conditions of the MIT License, including the above copyright notice and this permission notice. The Software is provided “AS IS,” without warranty of any kind, express or implied.
Indicatore Pine Script®
di JopAlgo
SM OTC style Supply/Demand Zones Lite+//@version=6 indicator("OTC SD MTF Lite+", "OTCSDmtf+", overlay=true, max_boxes_count=200, max_labels_count=200) // ================= Inputs ================= useH4 = input.bool(true, "Show 4H zones") useD1 = input.bool(true, "Show 1D zones") useW1 = input.bool(true, "Show 1W zones") useM1 = input.bool(false, "Show 1M zones") baseLen = input.int(2, "Base length (HTF bars)", 1, 5) wickPctMax = input.float(35.0, "Max wick % in base", 0, 100) impulseX = input.float(1.5, "Departure body vs ATR (x)", 0.5, 5.0) atrLen = input.int(14, "ATR length (HTF)") extendBars = input.int(2000, "Extend bars on chart", 200, 10000) maxPerTF = input.int(12, "Max zones per TF", 3, 30) showLegend = input.bool(true, "Show tiny legend (4H/1D/1W/1M)") onlyNearest = input.bool(false, "Show ONLY nearest zone above/below") hideOverlapTF = input.bool(true, "Hide overlapping zones within each TF (keep newest)") showNearestLabels = input.bool(false, "Show distance labels to nearest above/below") // --- Hard cap for future drawing with xloc.bar_index --- FUTURE_CAP = 500 // Colors (Demand hues per TF). Supply uses red for contrast. colH4 = color.new(color.teal, 78) colD1 = color.new(color.blue, 78) colW1 = color.new(color.orange, 78) colM1 = color.new(color.purple, 78) colSup= color.new(color.red, 78) // ================= Helpers ================= wickiness(h, l, o, c) => rng = math.max(h - l, syminfo.mintick) topW = h - math.max(o, c) botW = math.min(o, c) - l 100.0 * (topW + botW) / rng // Returns: (dTrig, dProx, dDist, sTrig, sProx, sDist) f_htfSignals(baseBars, wickMax, xImpulse, aLen) => float _o = open float _h = high float _l = low float _c = close float _atr = ta.atr(aLen) bool ok = true for i = 1 to baseBars ok := ok and (wickiness(_h , _l , _o , _c ) <= wickMax) bool bullDepart = _c > _o and (_c - _o) > xImpulse * _atr bool bearDepart = _c < _o and (_o - _c) > xImpulse * _atr float dTrig = 0.0 float dProx = na float dDist = na float sTrig = 0.0 float sProx = na float sDist = na if ok and bullDepart float hi = ta.highest(_h, baseBars) float lo = ta.lowest(_l, baseBars) dTrig := 1.0 dProx := lo dDist := hi if ok and bearDepart float hi2 = ta.highest(_h, baseBars) float lo2 = ta.lowest(_l, baseBars) sTrig := 1.0 sProx := hi2 sDist := lo2 // ================= Pull HTF signals ================= = request.security(syminfo.tickerid, "240", f_htfSignals(baseLen, wickPctMax, impulseX, atrLen)) = request.security(syminfo.tickerid, "D", f_htfSignals(baseLen, wickPctMax, impulseX, atrLen)) = request.security(syminfo.tickerid, "W", f_htfSignals(baseLen, wickPctMax, impulseX, atrLen)) = request.security(syminfo.tickerid, "M", f_htfSignals(baseLen, wickPctMax, impulseX, atrLen)) // ================= Storage per TF ================= var zH4 = array.new_box() var aH4 = array.new_bool() var lH4 = array.new_label() var sH4 = array.new_int() // 1 = Demand, -1 = Supply var zD1 = array.new_box() var aD1 = array.new_bool() var lD1 = array.new_label() var sD1 = array.new_int() var zW1 = array.new_box() var aW1 = array.new_bool() var lW1 = array.new_label() var sW1 = array.new_int() var zM1 = array.new_box() var aM1 = array.new_bool() var lM1 = array.new_label() var sM1 = array.new_int() // ================= Overlap utils ================= overlap(topA, botA, topB, botB) => not (topA < botB or botA > topB) purgeOverlaps(arrB, arrA, arrL, newTop, newBot) => if hideOverlapTF and array.size(arrB) > 0 for i = 0 to array.size(arrB) - 1 if array.get(arrA, i) box bOld = array.get(arrB, i) float t = box.get_top(bOld) float btm = box.get_bottom(bOld) if overlap(newTop, newBot, t, btm) box.delete(bOld) label.delete(array.get(arrL, i)) array.set(arrA, i, false) // ================= Add zone ================= addZone(arrB, arrA, arrL, arrS, topV, botV, baseColor, isDemand) => purgeOverlaps(arrB, arrA, arrL, topV, botV) int leftX = bar_index - 1 int rightX = bar_index + math.min(extendBars, FUTURE_CAP) // respect +500 cap box b = box.new(leftX, topV, rightX, botV, xloc=xloc.bar_index, bgcolor=baseColor, border_color=color.new(color.black, 0)) float ly = isDemand == 1 ? topV : botV st = isDemand == 1 ? label.style_label_down : label.style_label_up string tagTxt = isDemand == 1 ? "Demand" : "Supply" label l = label.new(leftX, ly, tagTxt, xloc=xloc.bar_index, style=st, textcolor=color.white, color=color.new(color.black, 0), size=size.tiny) array.push(arrB, b) array.push(arrA, true) array.push(arrL, l) array.push(arrS, isDemand) if array.size(arrB) > maxPerTF box.delete(array.shift(arrB)) array.shift(arrA) label.delete(array.shift(arrL)) array.shift(arrS) // ================= Maintain / Invalidate ================= extendAll(arrB, arrA) => if array.size(arrB) > 0 for i = 0 to array.size(arrB) - 1 if array.get(arrA, i) box.set_right(array.get(arrB, i), bar_index + math.min(extendBars, FUTURE_CAP)) // respect +500 cap invalidate(arrB, arrA, arrL) => if array.size(arrB) > 0 for i = 0 to array.size(arrB) - 1 if array.get(arrA, i) box b = array.get(arrB, i) float t = box.get_top(b) float btm = box.get_bottom(b) // Close outside band → remove if close > t or close < btm box.delete(b) label.delete(array.get(arrL, i)) array.set(arrA, i, false) // ================= New HTF bar flags (strict booleans) ================= int chH4 = ta.change(time("240")) int chD1 = ta.change(time("D")) int chW1 = ta.change(time("W")) int chM1 = ta.change(time("M")) bool newBarH4 = useH4 and (not na(chH4)) and (chH4 != 0) bool newBarD1 = useD1 and (not na(chD1)) and (chD1 != 0) bool newBarW1 = useW1 and (not na(chW1)) and (chW1 != 0) bool newBarM1 = useM1 and (not na(chM1)) and (chM1 != 0) // ================= Create zones on new HTF bar ================= if newBarH4 if d4t > 0 and not na(d4p) and not na(d4d) addZone(zH4, aH4, lH4, sH4, d4d, d4p, colH4, 1) if s4t > 0 and not na(s4p) and not na(s4d) addZone(zH4, aH4, lH4, sH4, s4p, s4d, colSup, -1) if newBarD1 if d1t > 0 and not na(d1p) and not na(d1d) addZone(zD1, aD1, lD1, sD1, d1d, d1p, colD1, 1) if s1t > 0 and not na(s1p) and not na(s1d) addZone(zD1, aD1, lD1, sD1, s1p, s1d, colSup, -1) if newBarW1 if w1t > 0 and not na(w1p) and not na(w1d) addZone(zW1, aW1, lW1, sW1, w1d, w1p, colW1, 1) if swt > 0 and not na(swp) and not na(swd) addZone(zW1, aW1, lW1, sW1, swp, swd, colSup, -1) if newBarM1 if m1t > 0 and not na(m1p) and not na(m1d) addZone(zM1, aM1, lM1, sM1, m1d, m1p, colM1, 1) if smt > 0 and not na(smp) and not na(smd) addZone(zM1, aM1, lM1, sM1, smp, smd, colSup, -1) // ================= Maintain & Invalidate (every bar) ================= extendAll(zH4, aH4) extendAll(zD1, aD1) extendAll(zW1, aW1) extendAll(zM1, aM1) invalidate(zH4, aH4, lH4) invalidate(zD1, aD1, lD1) invalidate(zW1, aW1, lW1) invalidate(zM1, aM1, lM1) // ================= Nearest across all TFs ================= tfNearest(arrB, arrA) => int upIdx = -1 int dnIdx = -1 float upDist = 1e10 float dnDist = 1e10 float upBtm = na float dnTop = na if array.size(arrB) > 0 for i = 0 to array.size(arrB) - 1 if array.get(arrA, i) box b = array.get(arrB, i) float t = box.get_top(b) float btm = box.get_bottom(b) if btm >= close float d = btm - close if d < upDist upDist := d upIdx := i upBtm := btm if t <= close float d2 = close - t if d2 < dnDist dnDist := d2 dnIdx := i dnTop := t = tfNearest(zH4, aH4) = tfNearest(zD1, aD1) = tfNearest(zW1, aW1) = tfNearest(zM1, aM1) float upBest = 1e10, dnBest = 1e10 int upArr = -1, upIdxSel = -1, dnArr = -1, dnIdxSel = -1 color upColor = color.new(color.white, 100), dnColor = color.new(color.white, 100) if (not na(uh4y)) and uh4d < upBest upBest := uh4d, upArr := 0, upIdxSel := uh4i, upColor := colH4 if (not na(ud1y)) and ud1d < upBest upBest := ud1d, upArr := 1, upIdxSel := ud1i, upColor := colD1 if (not na(uw1y)) and uw1d < upBest upBest := uw1d, upArr := 2, upIdxSel := uw1i, upColor := colW1 if (not na(um1y)) and um1d < upBest upBest := um1d, upArr := 3, upIdxSel := um1i, upColor := colM1 if (not na(dh4y)) and dh4d < dnBest dnBest := dh4d, dnArr := 0, dnIdxSel := dh4i, dnColor := colH4 if (not na(dd1y)) and dd1d < dnBest dnBest := dd1d, dnArr := 1, dnIdxSel := dd1i, dnColor := colD1 if (not na(dw1y)) and dw1d < dnBest dnBest := dw1d, dnArr := 2, dnIdxSel := dw1i, dnColor := colW1 if (not na(dm1y)) and dm1d < dnBest dnBest := dm1d, dnArr := 3, dnIdxSel := dm1i, dnColor := colM1 // ================= Nearest-only visibility (optional) ================= hideAll(arrB, arrA) => if array.size(arrB) > 0 for i = 0 to array.size(arrB) - 1 if array.get(arrA, i) box.set_bgcolor(array.get(arrB, i), color.new(color.white, 100)) box.set_border_color(array.get(arrB, i), color.new(color.white, 100)) showOne(arrB, arrA, arrS, idx, demColor) => if idx >= 0 and idx < array.size(arrB) if array.get(arrA, idx) bool isDemand = array.get(arrS, idx) == 1 color c = isDemand ? demColor : colSup box.set_bgcolor(array.get(arrB, idx), c) box.set_border_color(array.get(arrB, idx), color.new(color.black, 0)) if onlyNearest hideAll(zH4, aH4), hideAll(zD1, aD1), hideAll(zW1, aW1), hideAll(zM1, aM1) if upArr == 0 showOne(zH4, aH4, sH4, upIdxSel, upColor) if upArr == 1 showOne(zD1, aD1, sD1, upIdxSel, upColor) if upArr == 2 showOne(zW1, aW1, sW1, upIdxSel, upColor) if upArr == 3 showOne(zM1, aM1, sM1, upIdxSel, upColor) if dnArr == 0 showOne(zH4, aH4, sH4, dnIdxSel, dnColor) if dnArr == 1 showOne(zD1, aD1, sD1, dnIdxSel, dnColor) if dnArr == 2 showOne(zW1, aW1, sW1, dnIdxSel, dnColor) if dnArr == 3 showOne(zM1, aM1, sM1, dnIdxSel, dnColor) // ================= Nearest distance labels (optional) ================= var label nearUp = na var label nearDn = na makeNearLabel(y, txt) => label.new(bar_index, y, txt, xloc=xloc.bar_index, style=label.style_label_left, color=color.new(color.black, 0), textcolor=color.white, size=size.tiny) if showNearestLabels if not na(nearUp) label.delete(nearUp) if not na(nearDn) label.delete(nearDn) if upArr != -1 box bUp = upArr == 0 ? array.get(zH4, upIdxSel) : upArr == 1 ? array.get(zD1, upIdxSel) : upArr == 2 ? array.get(zW1, upIdxSel) : array.get(zM1, upIdxSel) float upBtm = box.get_bottom(bUp) float pctUp = math.round(10000.0 * (upBtm - close) / close) / 100.0 nearUp := makeNearLabel(upBtm, "Nearest Above ~ " + str.tostring(pctUp) + "%") if dnArr != -1 box bDn = dnArr == 0 ? array.get(zH4, dnIdxSel) : dnArr == 1 ? array.get(zD1, dnIdxSel) : dnArr == 2 ? array.get(zW1, dnIdxSel) : array.get(zM1, dnIdxSel) float dnTop = box.get_top(bDn) float pctDn = math.round(10000.0 * (close - dnTop) / close) / 100.0 nearDn := makeNearLabel(dnTop, "Nearest Below ~ " + str.tostring(pctDn) + "%") // ================= Tiny legend (dots) ================= var table legend = na if showLegend and na(legend) legend := table.new(position.top_left, 4, 1) if showLegend and not na(legend) table.cell(legend, 0, 0, "● 4H", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(legend, 1, 0, "● 1D", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(legend, 2, 0, "● 1W", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(legend, 3, 0, "● 1M", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell_set_bgcolor(legend, 0, 0, color.new(color.teal, 70)) table.cell_set_bgcolor(legend, 1, 0, color.new(color.blue, 70)) table.cell_set_bgcolor(legend, 2, 0, color.new(color.orange, 70)) table.cell_set_bgcolor(legend, 3, 0, color.new(color.purple, 70))
Indicatore Pine Script®
di imsiddharthm
Needle XRThe Didi Index with Full Validation is a technical indicator developed for the TradingView platform, based on the concept of the Didi Index, created by Odir Aguiar (Didi). It uses the relationship between three exponential moving averages (EMAs) of different periods to identify trend reversal or continuation points, known as "needle points." To increase signal reliability, the indicator incorporates validations from four widely used technical indicators: MACD, TRIX, DMI/ADX, and Stochastic. Buy and sell signals are displayed only when all validation conditions are met, ensuring greater accuracy. The indicator is plotted in a separate panel below the price chart, displaying the Didi Index lines (positive and negative), a central reference line, and clear buy (green triangles) and sell (red triangles) signals.
Indicatore Pine Script®
di Trader-XR
Advantage RSI PredictorThe Relative Strength Index (RSI) is a widely used momentum oscillator that measures the speed and change of price movements, typically on a scale from 0 to 100, to identify overbought (above 70) or oversold (below 30) conditions. However, its reliance on historical data limits its ability to predict future price movements. To overcome this, an advanced indicator—termed the Advanced RSI Predictor (ARP)—can be developed to provide predictive bands for RSI levels, enhancing its forecasting potential.The ARP leverages machine learning techniques, such as Long Short-Term Memory (LSTM) networks, combined with traditional RSI calculations to forecast future RSI values and establish confidence intervals or bands. These bands represent a range within which the RSI is likely to fluctuate over a specified period, offering traders a probabilistic perspective on momentum shifts. The indicator starts with the standard RSI computation, using a 14-period lookback as a foundation, but enriches this by incorporating additional inputs like moving averages, volatility measures (e.g., Bollinger Bands width), and trading volume. These features are processed through an LSTM model trained on historical price and RSI data to predict future RSI trajectories.The output includes upper and lower predictive bands, typically set at a 95% confidence level, surrounding a central forecasted RSI line. For example, if the current RSI is 45, the ARP might project a band from 40 to 50 over the next five days, indicating potential momentum stability or a range for overbought/oversold thresholds. The bands adapt dynamically to market conditions—narrowing during stable trends and widening during volatile periods—using real-time data updates. This adaptability allows traders to anticipate breakouts or reversals before they manifest on the price chart.Validation can be strengthened through backtesting against historical data, ensuring the ARP’s bands align with significant market turns. This indicator proves especially valuable in trending markets, where traditional RSI levels (e.g., 70 or 30) may falter, offering a sophisticated tool for informed trading or investment decisions.
Indicatore Pine Script®
di FomoFutures
Foxbrady D/G CrossFoxbrady D/G Cross - Golden Cross & Death Cross Indicator** A clean and simple indicator that identifies Golden Cross and Death Cross events using the classic 50-day and 200-day simple moving averages. Features: - Blue line: 50-day SMA (fast moving average) - Red line: 200-day SMA (slow moving average) - Green "GC" label appears at the exact crossover point when a Golden Cross occurs (bullish signal) - Red "DC" label appears at the exact crossover point when a Death Cross occurs (bearish signal) - Built-in alert conditions for both events - Customizable MA periods to suit your trading style How to Use: The Golden Cross (50 MA crossing above 200 MA) is traditionally viewed as a bullish long-term signal, while the Death Cross (50 MA crossing below 200 MA) is considered a bearish indicator. This indicator makes it easy to spot these events historically and receive alerts when they occur in real-time. Perfect for swing traders and long-term investors looking to identify major trend changes.
Indicatore Pine Script®
di Foxbrady