First 5-Min Candle DetectorHighlights the high and low of the first 5-minute candle of the regular trading session, beginning at 9:30am EST.
Indikatoren und Strategien
Trading Dashboard + Daily SMAsThis indicator is an all-in-one workspace overlay designed for futures and intraday traders. It consolidates critical market internals, session statistics, and daily technical levels into a single, highly customizable dashboard.
The goal of this script is to reduce chart clutter by placing essential data into a clean table while overlaying key Daily Moving Averages onto your intraday timeframe.
Key Features:
1. Comprehensive Market Internals Dashboard Monitor the health of the broad market directly from your chart. The dashboard includes real-time data for:
VIX: Volatility Index.
TICK & TRIN: Sentiment and volume flow indicators.
Breadth Data: ADD, ADV, and DECL (Advance/Decline lines and volume).
Multi-Ticker Watch: Monitor 3 additional assets (Defaults: NQ, RTY, YM) with real-time price and % change.
2. Session Statistics & Probabilities Automated calculation of intraday statistics based on a user-defined lookback period (default 100 days):
RTH Data: Tracks Regular Trading Hours Open, Close, and Range.
Contextual ATR: Compares current RTH range to the 14-day ATR.
Probabilities: Displays historical probabilities for "Gap Fill," "Break of Yesterday's High," and "Break of Yesterday's Low."
3. Daily SMAs on Intraday Charts Plot key Daily Simple Moving Averages (21, 50, 200) directly on your lower timeframe charts (1m, 5m, etc.) without switching views.
Fully Customizable: Toggle each SMA on/off individually.
Color Control: Users can change the color of every SMA line to fit their theme.
4. "Dark Mode" Optimized The dashboard features a specific "Very Dark Grey" (#121212) background by default, designed to reduce eye strain and blend seamlessly with dark-themed trading setups.
Settings & Customization:
Session Times: Define your specific RTH start and end times.
Symbols: All ticker symbols (VIX, ADD, NQ, etc.) can be customized in the settings menu to match your data provider.
Visibility: Every element in the table and every SMA line has a toggle switch. You only see what you need.
Visuals: Change table position, text size, and line colors.
Author's Instructions: Configuration Guide
This script relies on specific ticker symbols to pull data for Market Internals (TICK, TRIN, ADD) and the Watchlist. Depending on your data subscription plan (CME, CBOE, etc.), you may need to adjust the default symbols to match what you have access to.
1. How to Change Symbols
Add the indicator to your chart.
Hover over the indicator name in the top-left corner and click the Settings (Gear Icon).
Scroll to the "Symbols" section.
Click inside the text box for the symbol you want to change.
2. Common Symbol Formats If the default symbols show "N/A" or "Error," try these alternatives based on your data feed:
TICK (NYSE Tick)
Default: USI:TICK (Requires specific data)
Alternative: TVC:TICK (General TradingView feed)
Alternative: TICK (Generic)
TRIN (Arms Index)
Default: USI:TRIN
Alternative: TVC:TRIN
Alternative: TRIN
Breadth (ADD/ADV/DECL)
ADD (Advance-Decline Line): Try USI:ADD, TVC:ADD, or ADD
ADV (Advancing Volume): Try USI:ADV, TVC:ADV, or UVOL (Up Volume)
DECL (Declining Volume): Try USI:DECL, TVC:DECL, or DVOL (Down Volume)
VIX
Standard: CBOE:VIX or TVC:VIX
3. Setting Up the Ticker Watchlist (Ticker 1, 2, 3) The script defaults to "Continuous Contracts" (indicated by the 1!), which automatically rolls to the front month.
Nasdaq: CME_MINI:NQ1!
S&P 500: CME_MINI:ES1!
Russell 2000: CME_MINI:RTY1!
Dow Jones: CBOT_MINI:YM1!
Note: If you want to watch a specific contract month (e.g., December 2025), enter the specific code like NQZ2025.
4. Troubleshooting "N/A" Data If a cell in the table is empty or says "N/A":
Verify you are not viewing the chart on a timeframe that excludes the data (though dynamic_requests=true usually handles this).
Ensure you have the correct data permission for that specific symbol.
Market Closed: Some internal data points only populate during the active NYSE session (09:30 - 16:00 ET).
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Past probabilities do not guarantee future results.
3 EMA with Alerts 2025This indicator plots three key EMAs (20, 50, and 200) directly on the chart, making it easy to track short-, medium-, and long-term trends. A color-coded table is displayed in the top-right corner for quick reference.
The script also includes smart alerts that trigger only when the state changes:
• 🔵 EMA 20 crossing above EMA 50 & EMA 200 → Bullish signal
• 🔴 EMA 20 crossing below EMA 50 & EMA 200 → Bearish signal
This tool is designed for traders who want clean visuals, reliable alerts, and simplified trend recognition in 2025 markets.
CRS (2 symbols: Ratio or Normalized) + InverseMade for Crosrate comparison By Leo Hanhart
This script is made to do a comparison between two assets under your current chart.
For example if you want to compare SPX over Growth ETF's Below a current asset to find momentum in your stock trading above it
Renkli EMA_MA CROSS
indicator("Renkli MA Kesişimi + Oklar", overlay=true, precision=2
fastLen = input.int(20, "Hızlı MA (Fast)")
slowLen = input.int(50, "Yavaş MA (Slow)")
maType = input.string("EMA", "MA Tipi", options= )
showArrows = input.bool(true, "Okları Göster")
fastMA = maType == "EMA" ? ta.ema(close, fastLen) : ta.sma(close, fastLen)
slowMA = maType == "EMA" ? ta.ema(close, slowLen) : ta.sma(close, slowLen)
barcolor(fastMA > slowMA ? color.new(color.green, 0) : color.new(color.red, 0))
longSignal = ta.crossover(fastMA, slowMA)
shortSignal = ta.crossunder(fastMA, slowMA)
plotshape(showArrows and longSignal, title="Al", style=shape.labelup, location=location.belowbar, color=color.green, size=size.large, text="AL")
plotshape(showArrows and shortSignal, title="Sat", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.large, text="SAT")
plot(fastMA, color=color.blue, title="Hızlı MA")
plot(slowMA, color=color.orange, title="Yavaş MA")
Pops Dividend 7-Day RadarHow traders use it as a strategy anyway 🧠
In real life, this becomes a manual or semi-systematic strategy:
Strategy logic (human-driven):
Scan for highest yield stocks
Filter for ex-date within 7 days
Apply technical rules (trend, EMAs, support)
Enter before ex-date
Exit:
Before ex-date (momentum run-up)
On ex-date
Or after dividend (reversion play)
Indicator’s role:
“Tell me when a stock qualifies so I can decide how to trade it.”
That’s exactly what this tool does.
How we could turn this into a strategy-style framework
Even though Pine won’t let us backtest dividends properly, we can:
Build a rules-based checklist (entry/exit rules)
Create alerts that behave like strategy triggers
Combine with:
EMA trend filters
Volume conditions
ATR-based exits
Label it as:
“Pops Dividend Capture Playbook” (manual execution)
This keeps it honest, legal, and reliable.
Bottom line
🧩 Indicator = what we built
📘 Strategy = how you trade it using the indicator
⚠️ TradingView limitations prevent a true dividend strategy backtest
RSI Divergence & Momentum Color//@version=5
// هذا مؤشر موحد يحدد الدايفرجنس (العادي والمخفي) ويقوم بتلوين الشموع حسب زخم RSI.
indicator(title="RSI Divergence & Momentum Color", shorttitle="RSI Divergence & MOM", overlay=true)
// --- 1. الإعدادات والمتغيرات (Inputs) ---
// إعدادات RSI
rsiLength = input.int(14, title="RSI Length", minval=1)
// إعدادات تحديد القمم والقيعان (Pivots)
pivotLeft = input.int(5, title="Pivot Lookback Left", minval=1)
pivotRight = input.int(5, title="Pivot Lookback Right", minval=1)
// --- 2. حساب مؤشر القوة النسبية (RSI Calculation) ---
rsi = ta.rsi(close, rsiLength)
// --- 3. تلوين الشموع حسب الزخم (RSI Momentum Color) ---
// فحص: هل RSI الحالي أكبر من RSI السابق؟
isRSIUp = rsi > rsi
// تحديد اللون بناءً على الشرط
var color colorRSI = na
// تلوين الشمعة باللون الأخضر إذا كان RSI صاعداً، وبالأحمر إذا كان هابطاً
if isRSIUp
colorRSI := color.new(color.green, 60) // أخضر فاتح
else
colorRSI := color.new(color.red, 60) // أحمر فاتح
// تطبيق تلوين الشمعة على الشارت الرئيسي
barcolor(colorRSI)
// --- 4. تحديد الدايفرجنس (Divergence Detection) ---
// تحديد القمم والقيعان على السعر
price_high_pivot = ta.pivothigh(high, pivotLeft, pivotRight)
price_low_pivot = ta.pivotlow(low, pivotLeft, pivotRight)
// تحديد القمم والقيعان على RSI
rsi_high_pivot = ta.pivothigh(rsi, pivotLeft, pivotRight)
rsi_low_pivot = ta.pivotlow(rsi, pivotLeft, pivotRight)
// *** المنطق المباشر للدايفرجنس (تظهر الإشارة عند القمة/القاع المكتملة) ***
// 🔵 الدايفرجنس العادي الصعودي (Regular Bullish Div)
isRegBull = price_low_pivot and rsi_low_pivot and low < low and rsi > rsi
// 🔴 الدايفرجنس العادي الهبوطي (Regular Bearish Div)
isRegBear = price_high_pivot and rsi_high_pivot and high > high and rsi < rsi
// 🟪 الدايفرجنس المخفي الصعودي (Hidden Bullish Div)
isHiddenBull = price_low_pivot and rsi_low_pivot and low > low and rsi < rsi
// 🟧 الدايفرجنس المخفي الهبوطي (Hidden Bearish Div)
isHiddenBear = price_high_pivot and rsi_high_pivot and high < high and rsi > rsi
// --- 5. رسم إشارات الدايفرجنس على السعر (Plotting Shapes) ---
// رسم الإشارات على الشارت الرئيسي (لتحديد مناطق الانعكاس/الاستمرار)
// 1. عادي صعودي (انعكاس)
plotshape(isRegBull, title="Regular Bullish Div", location=location.belowbar, style=shape.triangleup, color=color.green, size=size.small)
// 2. عادي هبوطي (انعكاس)
plotshape(isRegBear, title="Regular Bearish Div", location=location.abovebar, style=shape.triangledown, color=color.red, size=size.small)
// 3. مخفي صعودي (استمرار)
plotshape(isHiddenBull, title="Hidden Bullish Div", location=location.belowbar, style=shape.diamond, color=color.blue, size=size.small)
// 4. مخفي هبوطي (استمرار)
plotshape(isHiddenBear, title="Hidden Bearish Div", location=location.abovebar, style=shape.diamond, color=color.orange, size=size.small)
// --- 6. عرض مؤشر RSI في نافذة فرعية (Sub-Window) ---
// يجب إضافة مؤشر RSI بشكل منفصل لترى الدايفرجنس على منحنى RSI
// لكي تظهر الخطوط على منحنى RSI، يجب عليك إضافة كود المؤشر السابق (RSI Divergence Detector (Full))
// على نافذة RSI، ولكن هذا يتعارض مع طلبك دمج كل شيء.
// أفضل طريقة هي: قم بإضافة هذا المؤشر إلى الشارت، ثم أضف مؤشر RSI الافتراضي إلى نافذة جديدة.
// أو يمكنك إنشاء مؤشر RSI منفصل خاص بك في نافذة فرعية:
plot(rsi, title="RSI Value", color=color.rgb(100, 150, 200), display=display.none) // لا تعرض في الشارت الرئيسي
// لعرض RSI في نافذة فرعية، قم بإنشاء مؤشر جديد واضبط overlay=false
// أو استخدم المؤشر التالي (بما أن هذا المؤشر يحتوي على overlay=true، لن يرسم RSI أسفل الشارت).
// --- ملاحظة أخيرة: لرسم الخطوط على RSI أسفل الشارت ---
// لتحقيق ذلك بالضبط، يجب كتابة مؤشر ثانٍ بـ (overlay=false)
// يحتوي على نفس منطق الدايفرجنس. لتجنب ذلك، يكتفي هذا الكود برسم الإشارات
// على السعر (overlay=true) وتلوين الشموع.
VWAP Mean Reversion v2 nice indicator based on volume and price action. it pays attention to RSI ema.VWAP. and many more indicators
S&R Detector by Rakesh SharmaSupport & Resistance Auto-Detector
Automatically identifies key Support and Resistance levels with strength ratings
✨ Key Features:
🎯 Intelligent S/R Detection
Automatically finds Support and Resistance levels based on swing highs/lows
Shows strength rating (Very Strong, Strong, Medium, Weak)
Displays number of touches at each level
📅 Key Time-Based Levels
Previous Day High/Low (PDH/PDL) - Blue lines
Previous Week High/Low (PWH/PWL) - Purple lines
Optional Round Numbers for psychological levels
⚙️ Fully Customizable
Adjust sensitivity (5-20 pivot length)
Filter by minimum touches (1-10)
Control maximum levels displayed (3-20)
Optional S/R zones (shaded areas)
📊 Live Dashboard
Shows nearest Support/Resistance
Distance to key levels
Total S/R levels detected
🔔 Smart Alerts
PDH/PDL breakout signals
Visual markers on chart
Perfect for: Intraday traders, Swing traders, Price action analysis
Support & Resistance Auto-Detector by Rakesh SharmaVersion 1.1 Update:
- Fixed: S/R lines now extend infinitely to the right
- Fixed: Lines move with chart when scrolling
- Added: Toggle to control line extension
- Improved: Better visibility across all timeframes
Al Brooks - Bar CountIndicator Purpose:
This indicator displays bar counts on the chart to help traders identify important time nodes and cycle transitions
Features smart session filtering with automatic futures/stock detection and appropriate trading session counting
Core Features:
Smart asset detection: Auto-detect futures and stocks
Session filter toggle: Choose all-day or session-specific counting
Auto timezone handling: Chicago time for futures, NY time for stocks
Flexible display control: Customizable display frequency and label size
Session Settings:
8:30-15:15 (CT) / Futures mode: Chicago time 8:30-15:15 (CT)
9:30-16:00 (ET) / Stock mode: New York time 9:30-16:00 (ET)
All-day mode: Count from first bar of the day
Timeframe Correspondence:
Multiples of 3: Correspond to 15-minute chart update cycles
Multiples of 12: Correspond to 1-hour chart update cycles
18: Key nodes, important time turning points
Al Brooks - EMA20Instead of simply fetching data from the 60-minute or 15-minute charts, this script mathematically simulates the internal logic of those EMAs directly on your current timeframe.
Just for fun.
MNO_2Step_Strategy_MOU_KAKU (Publish-Clear)//@version=5
strategy("MNO_2Step_Strategy_MOU_KAKU (Publish-Clear)", overlay=true, pyramiding=0,
max_labels_count=500, max_lines_count=500,
initial_capital=100000,
default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// =========================
// Inputs
// =========================
emaSLen = input.int(5, "EMA Short (5)")
emaMLen = input.int(13, "EMA Mid (13)")
emaLLen = input.int(26, "EMA Long (26)")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05)
volLookback = input.int(5, "Volume MA days", minval=1)
volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1)
volStrong = input.float(1.5, "Strong volume ratio (Breakout/KAKU)", step=0.1)
volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1)
wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1)
pivotLen = input.int(20, "Resistance lookback", minval=5)
pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1)
pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1)
breakLookbackBars = input.int(5, "Pullback route: valid bars after break", minval=1)
// --- Breakout route (押し目なし初動ブレイク) ---
useBreakoutRoute = input.bool(true, "Enable MOU Breakout Route (no pullback)")
breakConfirmPct = input.float(0.3, "Break confirm: close > R*(1+%)", step=0.1)
bigBodyLookback = input.int(20, "Break candle body MA length", minval=5)
bigBodyMult = input.float(1.2, "Break candle: body >= MA*mult", step=0.1)
requireCloseNearHigh = input.bool(true, "Break candle: close near high")
closeNearHighPct = input.float(25.0, "Close near high threshold (% of range)", step=1.0)
allowMACDAboveZeroInstead = input.bool(true, "Breakout route: allow MACD GC above zero instead")
// 表示
showEMA = input.bool(true, "Plot EMAs")
showMouLabels = input.bool(true, "Show MOU/MOU-B labels")
showKakuLabels = input.bool(true, "Show KAKU labels")
showDebugTbl = input.bool(true, "Show debug table (last bar)")
showStatusLbl = input.bool(true, "Show status label (last bar always)")
locChoice = input.string("Below Bar", "Label location", options= )
lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar
// =========================
// 必ず決済が起きる設定（投稿クリア用）
// =========================
enableTPSL = input.bool(true, "Enable TP/SL")
tpPct = input.float(2.0, "Take Profit (%)", step=0.1, minval=0.1) // ←投稿クリア向けに近め
slPct = input.float(1.0, "Stop Loss (%)", step=0.1, minval=0.1) // ←投稿クリア向けに近め
maxHoldBars = input.int(30, "Max bars in trade (force close)", minval=1)
entryMode = input.string("MOU or KAKU", "Entry trigger", options= )
// ✅ 保険：トレード0件を避ける（投稿クリア用）
// 1回でもクローズトレードができたら自動で沈黙
publishAssist = input.bool(true, "Publish Assist (safety entry if 0 trades)")
// =========================
// EMA
// =========================
emaS = ta.ema(close, emaSLen)
emaM = ta.ema(close, emaMLen)
emaL = ta.ema(close, emaLLen)
plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5")
plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13")
plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26")
emaUpS = emaS > emaS
emaUpM = emaM > emaM
emaUpL = emaL > emaL
goldenOrder = emaS > emaM and emaM > emaL
above26_2days = close > emaL and close > emaL
baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2days
// =========================
// MACD
// =========================
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdGC = ta.crossover(macdLine, macdSig)
macdUp = macdLine > macdLine
macdNearZero = math.abs(macdLine) <= macdZeroTh
macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0
macdMouOK = macdGC and macdNearZero and macdUp
macdBreakOK = allowMACDAboveZeroInstead ? (macdMouOK or macdGCAboveZero) : macdMouOK
// =========================
// Volume
// =========================
volMA = ta.sma(volume, volLookback)
volRatio = volMA > 0 ? (volume / volMA) : na
volumeMouOK = volRatio >= volMinRatio and volRatio <= volMaxRatio
volumeStrongOK = volRatio >= volStrong and volRatio <= volMaxRatio
// =========================
// Candle patterns
// =========================
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open)
bullEngulf = close > open and close < open and close >= open and open <= close
bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20))
candleOK = pinbar or bullEngulf or bigBull
// =========================
// Resistance / Pullback route
// =========================
res = ta.highest(high, pivotLen)
pullbackPct = res > 0 ? (res - close) / res * 100.0 : na
pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct
brokeRes = ta.crossover(close, res )
barsSinceBreak = ta.barssince(brokeRes)
afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars)
pullbackRouteOK = afterBreakZone and pullbackOK
// =========================
// Breakout route (押し目なし初動ブレイク)
// =========================
breakConfirm = close > res * (1.0 + breakConfirmPct / 100.0)
bullBreak = close > open
bodyMA = ta.sma(body, bigBodyLookback)
bigBodyOK = bodyMA > 0 ? (body >= bodyMA * bigBodyMult) : false
rng = math.max(high - low, syminfo.mintick)
closeNearHighOK = not requireCloseNearHigh ? true : ((high - close) / rng * 100.0 <= closeNearHighPct)
mou_breakout = useBreakoutRoute and baseTrendOK and breakConfirm and bullBreak and bigBodyOK and closeNearHighOK and volumeStrongOK and macdBreakOK
mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK
mou = mou_pullback or mou_breakout
// =========================
// KAKU (Strict): 8条件 + 最終三点
// =========================
cond1 = emaUpS and emaUpM and emaUpL
cond2 = goldenOrder
cond3 = above26_2days
cond4 = macdGCAboveZero
cond5 = volumeMouOK
cond6 = candleOK
cond7 = pullbackOK
cond8 = pullbackRouteOK
all8_strict = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8
final3 = pinbar and macdGCAboveZero and volumeStrongOK
kaku = all8_strict and final3
// =========================
// Entry (strategy)
// =========================
entrySignal = entryMode == "KAKU only" ? kaku : (mou or kaku)
canEnter = strategy.position_size == 0
newEntryKaku = canEnter and kaku and entrySignal
newEntryMouB = canEnter and (not kaku) and mou_breakout and entrySignal
newEntryMou = canEnter and (not kaku) and mou_pullback and entrySignal
// --- Publish Assist（保険エントリー） ---
// 条件が厳しすぎて「トレード0件」だと投稿時に警告が出る。
// closedtradesが0の間だけ、軽いEMAクロスで1回だけ拾う（その後は沈黙）。
assistFast = ta.ema(close, 5)
assistSlow = ta.ema(close, 20)
assistEntry = publishAssist and strategy.closedtrades == 0 and canEnter and ta.crossover(assistFast, assistSlow)
// 実エントリー
if newEntryKaku or newEntryMouB or newEntryMou or assistEntry
strategy.entry("LONG", strategy.long)
// ラベル（視認）
if showMouLabels and newEntryMou
label.new(bar_index, low, "猛(IN)", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black)
if showMouLabels and newEntryMouB
label.new(bar_index, low, "猛B(IN)", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black)
if showKakuLabels and newEntryKaku
label.new(bar_index, low, "確(IN)", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black)
if assistEntry
label.new(bar_index, low, "ASSIST(IN)", style=label.style_label_up, color=color.new(color.aqua, 0), textcolor=color.black)
// =========================
// Exit (TP/SL + 強制クローズ)
// =========================
inPos = strategy.position_size > 0
tpPx = inPos ? strategy.position_avg_price * (1.0 + tpPct/100.0) : na
slPx = inPos ? strategy.position_avg_price * (1.0 - slPct/100.0) : na
if enableTPSL
strategy.exit("TP/SL", from_entry="LONG", limit=tpPx, stop=slPx)
// 最大保有バーで強制決済（これが「レポート無し」回避の最後の保険）
var int entryBar = na
if strategy.position_size > 0 and strategy.position_size == 0
entryBar := bar_index
if strategy.position_size == 0
entryBar := na
forceClose = inPos and not na(entryBar) and (bar_index - entryBar >= maxHoldBars)
if forceClose
strategy.close("LONG")
// =========================
// 利確/損切/強制クローズのラベル
// =========================
closedThisBar = (strategy.position_size > 0) and (strategy.position_size == 0)
avgPrev = strategy.position_avg_price
tpPrev = avgPrev * (1.0 + tpPct/100.0)
slPrev = avgPrev * (1.0 - slPct/100.0)
hitTP = closedThisBar and high >= tpPrev
hitSL = closedThisBar and low <= slPrev
// 同一足TP/SL両方は厳密に判断できないので、表示は「TP優先」で簡略（投稿ギリギリ版）
if hitTP
label.new(bar_index, high, "利確", style=label.style_label_down, color=color.new(color.lime, 0), textcolor=color.black)
else if hitSL
label.new(bar_index, low, "損切", style=label.style_label_up, color=color.new(color.red, 0), textcolor=color.white)
else if closedThisBar and forceClose
label.new(bar_index, close, "時間決済", style=label.style_label_left, color=color.new(color.gray, 0), textcolor=color.white)
// =========================
// Signals (猛/猛B/確)
// =========================
plotshape(showMouLabels and mou_pullback and not kaku, title="MOU_PULLBACK", style=shape.labelup, text="猛",
color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny)
plotshape(showMouLabels and mou_breakout and not kaku, title="MOU_BREAKOUT", style=shape.labelup, text="猛B",
color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny)
plotshape(showKakuLabels and kaku, title="KAKU", style=shape.labelup, text="確",
color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small)
// =========================
// Alerts
// =========================
alertcondition(mou, title="MNO_MOU", message="MNO: MOU triggered")
alertcondition(mou_breakout, title="MNO_MOU_BREAKOUT", message="MNO: MOU Breakout triggered")
alertcondition(mou_pullback, title="MNO_MOU_PULLBACK", message="MNO: MOU Pullback triggered")
alertcondition(kaku, title="MNO_KAKU", message="MNO: KAKU triggered")
alertcondition(assistEntry, title="MNO_ASSIST_ENTRY", message="MNO: ASSIST ENTRY (publish safety)")
// =========================
// Status label（最終足に必ず表示）
// =========================
var label status = na
if showStatusLbl and barstate.islast
label.delete(status)
statusTxt =
"MNO RUNNING " +
"ClosedTrades: " + str.tostring(strategy.closedtrades) + " " +
"BaseTrend: " + (baseTrendOK ? "OK" : "NO") + " " +
"MOU: " + (mou ? "YES" : "no") + " (猛=" + (mou_pullback ? "Y" : "n") + " / 猛B=" + (mou_breakout ? "Y" : "n") + ") " +
"KAKU: " + (kaku ? "YES" : "no") + " " +
"VolRatio: " + (na(volRatio) ? "na" : str.tostring(volRatio, format.mintick)) + " " +
"Pull%: " + (na(pullbackPct) ? "na" : str.tostring(pullbackPct, format.mintick)) + " " +
"Pos: " + (inPos ? "IN" : "OUT")
status := label.new(bar_index, high, statusTxt, style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0))
// =========================
// Debug table（最終足のみ）
// =========================
var table t = table.new(position.top_right, 2, 14, border_width=1, border_color=color.new(color.white, 60))
fRow(_name, _cond, _r) =>
bg = _cond ? color.new(color.lime, 70) : color.new(color.red, 80)
tx = _cond ? "OK" : "NO"
table.cell(t, 0, _r, _name, text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(t, 1, _r, tx, text_color=color.white, bgcolor=bg)
if showDebugTbl and barstate.islast
table.cell(t, 0, 0, "MNO Debug", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(t, 1, 0, "", text_color=color.white, bgcolor=color.new(color.black, 0))
fRow("BaseTrend", baseTrendOK, 1)
fRow("MOU Pullback", mou_pullback, 2)
fRow("MOU Breakout", mou_breakout, 3)
fRow("Break confirm", breakConfirm, 4)
fRow("Break big body", bigBodyOK, 5)
fRow("Break close high", closeNearHighOK, 6)
fRow("Break vol strong", volumeStrongOK, 7)
fRow("Break MACD", macdBreakOK, 8)
fRow("KAKU all8", all8_strict, 9)
fRow("KAKU final3", final3, 10)
fRow("AssistEntry", assistEntry, 11)
fRow("ClosedTrades>0", strategy.closedtrades > 0, 12)
Dynamic MAs Zscore | Lyro RSThe Dynamic MAs Zscore is an adaptive momentum and valuation oscillator built around advanced moving averages and statistical Z-Score normalization. By combining a wide selection of moving average types with dynamic deviation bands, this indicator delivers clear insights into trend strength , directional bias , and relative valuation — all in a clean, visually intuitive format.
━━━━━━━━━━━━━━━
Key Features
━━━━━━━━━━━━━━━
Dynamic Moving Average Engine
Applies one of 12 selectable moving average types (SMA, EMA, WMA, VWMA, HMA, ALMA, TEMA, etc.) to the chosen source. This allows fine-tuning between responsiveness and smoothness depending on market conditions.
Z-Score Normalization
Transforms the selected moving average into a standardized Z-Score:
(MA − mean) / standard deviation
This normalization makes momentum strength comparable across assets and timeframes.
Adaptive Deviation Bands
Upper and lower bands are derived from the rolling standard deviation of the Z-Score:
Custom band length
Independent positive and negative multipliers
These bands dynamically expand and contract with volatility.
Dual Signal Modes
Trend Mode – Focuses on directional continuation. Color changes and signals occur when Z-Score breaks above or below deviation bands.
Valuation Mode – Highlights relative overvaluation and undervaluation using a gradient color scale and predefined value zones.
Advanced Visual System
Includes bold layered plots, gradient fills, background shading, and candle/bar coloring to clearly reflect current market state.
Custom Color Palettes
Choose from multiple preset themes (Classic, Mystic, Accented, Royal) or define your own bullish and bearish colors.
━━━━━━━━━━━━━━━
How It Works
━━━━━━━━━━━━━━━
MA Calculation – The selected moving average type is applied to the chosen price source.
Z-Score Computation – The MA is normalized over a user-defined lookback period to quantify deviation from its mean.
Band Construction – Standard deviation of the Z-Score is calculated over the band length and scaled by positive/negative multipliers.
Mode-Dependent Logic
Trend Mode – Breaks above the upper band signal bullish momentum; breaks below the lower band signal bearish momentum.
Valuation Mode – A gradient reflects relative valuation from undervalued to overvalued, with background highlights at extreme Z-Score levels.
━━━━━━━━━━━━━━━
Signal Interpretation
━━━━━━━━━━━━━━━
Trend Confirmation
In Trend Mode, sustained moves beyond deviation bands indicate strong directional bias.
Momentum Strength
The distance of the Z-Score from zero reflects the intensity of trend momentum.
Relative Valuation
In Valuation Mode, deep negative Z-Scores suggest undervaluation, while high positive Z-Scores suggest overvaluation.
Visual Clarity
Bar and candle coloring aligned with oscillator state allows for rapid assessment of market conditions.
━━━━━━━━━━━━━━━
Customization
━━━━━━━━━━━━━━━
Adjust MA type and length to balance speed vs. smoothness.
Modify Z-Score length to control sensitivity.
Tune band length and multipliers for volatility adaptation.
Switch between Trend and Valuation modes depending on strategy.
Personalize visuals using preset or custom color palettes.
━━━━━━━━━━━━━━━
Alerts
━━━━━━━━━━━━━━━
Bullish condition when Z-Score > 0
Bearish condition when Z-Score < 0
Overvalued and undervalued valuation alerts
⚠️ Disclaimer
This indicator is intended for technical analysis and educational purposes only. It does not guarantee profitable outcomes and should be used alongside other tools, confirmation methods, and sound risk management. The author is not responsible for any financial decisions made using this indicator.
EMA Market Regime & Real-Time Candle Projection System📌 EMA Market Regime & Real-Time Candle Projection System
EMA Market Regime & Parabolic Projection is a real-time market structure system designed to anticipate candle behavior before it fully forms, by dynamically projecting price levels based on trend strength, acceleration, and market expansion.
Unlike traditional indicators that react after the candle closes, this system continuously adapts to live price data to provide early insight into bullish, bearish, parabolic, and exhaustion phases.
🔍 Core Concept
The system operates on four key dimensions:
Market Structure
Uses a fast and a slow EMA to determine the dominant market regime (bullish or bearish).
Directional Momentum
Measures EMA slope to confirm directional commitment.
Acceleration & Parabolic Detection
Identifies true parabolic movements through acceleration analysis, filtering out weak or range-bound price action.
Expansion Validation
Confirms that movements are supported by genuine market expansion, reducing false signals.
By combining these elements, the indicator projects a dynamic price level in real time, effectively drawing a forward-looking guide that adapts as each candle evolves.
🧠 Real-Time Candle Projection
The projected line represents a dynamic equilibrium level derived from EMA structure and acceleration.
This allows traders to:
Anticipate continuation vs exhaustion
Visualize momentum shifts before candle close
Read potential candle direction and strength in real time
The projection is non-repainting and updates tick-by-tick during the candle’s formation.
🎯 Market Regime Classification
The system automatically classifies the market into distinct states:
Bullish Trend – Positive structure with controlled momentum
Bearish Trend – Negative structure with controlled momentum
Parabolic Expansion – Accelerated trend with strong continuation potential
Parabolic Exhaustion – Loss of acceleration signaling potential reversal or pullback
Neutral / Range – Low momentum and low expansion (no-trade zone)
Each state is visually encoded using subtle, professional coloring, ensuring price candles always remain the primary focus.
🛡️ Professional-Grade Filters
Anti-range and anti-fake breakout filtering
Cooldown logic to prevent repetitive signals
Slope normalization relative to volatility
Designed to remain readable on M1–M5 scalping and higher timeframes
⚙️ Designed For
Scalping & Intraday Trading
Real-time decision-making
Trend continuation & exhaustion timing
Prop-firm and professional trading environments
This system is intended as a market structure and timing tool, not a signal spam indicator.
⚠️ Disclaimer
This indicator does not predict the future and does not provide guaranteed results. It is designed to assist discretionary traders by improving real-time market reading and execution timing.
Adaptive 2-Pole Trend Bands [supfabio]Adaptive 2-Pole Trend Bands is a volatility-aware trend filtering indicator designed to identify the dominant market direction while providing dynamic reference zones around price.
Instead of relying on traditional moving averages, this indicator uses a two-pole digital filter to smooth price action while maintaining responsiveness. Around this central trend line, a multi-band structure based on ATR is applied to help traders evaluate pullbacks, extensions, and potential exhaustion areas within a trend.
Core Concept
The indicator is built around three key ideas:
Digital Trend Filtering
Volatility-Adjusted Bands
Trend Persistence Measurement
These components work together to separate meaningful price movement from noise and to provide context for how far price has moved relative to recent volatility.
Two-Pole Trend Filter
At its core, the indicator uses a two-pole smoothing filter, which produces a cleaner trend curve than common moving averages.
Compared to standard averages, this approach:
Reduces market noise
Produces smoother transitions
Responds faster to genuine trend changes
Avoids excessive lag in trending markets
The result is a trend line that represents the structural direction of price, rather than short-term fluctuations.
Adaptive Multi-Band System
Around the central trend filter, the indicator plots four independent volatility-based bands, each derived from the Average True Range (ATR).
Each band represents a different degree of price extension:
Band 1: Shallow pullbacks and minor reactions
Band 2: Moderate extensions within a trend
Band 3: Strong directional moves
Band 4: Extreme extensions relative to recent volatility
Because the bands are ATR-based, they automatically adapt to changing market conditions, expanding during high volatility and contracting during calmer periods.
This makes the indicator suitable for both slow and fast markets without manual recalibration.
Trend State Detection
The color of the central filter dynamically reflects trend persistence, not just direction:
Sustained upward movement highlights bullish conditions
Sustained downward movement highlights bearish conditions
Transitional phases are visually distinct, helping identify regime changes
This logic is based on how long price has maintained directional behavior, reducing sensitivity to isolated candles or short-lived spikes.
Practical Applications
This indicator can be used as:
A trend filter for discretionary or systematic strategies
A context tool to evaluate pullbacks versus overextension
A risk reference to avoid entries in extreme price zones
A confirmation layer when combined with price action or momentum tools
It performs consistently across different asset classes, including futures, cryptocurrencies, forex, indices, and equities.
Configuration
Key parameters such as filter length, damping factor, and band multipliers are fully configurable, allowing traders to adapt the indicator to different timeframes and trading styles.
Important Notes
This indicator does not predict future price movement
It does not generate guaranteed buy or sell signals
Best results are achieved when used in combination with sound risk management and additional confirmation tools
Past behavior does not imply future performance
Disclaimer
This indicator is provided for educational and analytical purposes only and should not be considered financial advice.
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new takesi_2Step_Screener_MOU_KAKU_FIXED4 (Visible)//@version=5
indicator("MNO_2Step_Screener_MOU_KAKU_FIXED4 (Visible)", overlay=true, max_labels_count=500)
// =========================
// Inputs
// =========================
emaSLen = input.int(5, "EMA Short (5)")
emaMLen = input.int(13, "EMA Mid (13)")
emaLLen = input.int(26, "EMA Long (26)")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05)
volLookback = input.int(5, "Volume MA days", minval=1)
volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1)
volStrong = input.float(1.5, "Strong volume ratio (Breakout/KAKU)", step=0.1)
volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1)
wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1)
pivotLen = input.int(20, "Resistance lookback", minval=5)
pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1)
pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1)
breakLookbackBars = input.int(5, "Pullback route: valid bars after break", minval=1)
// --- Breakout route (押し目なし初動ブレイク) ---
useBreakoutRoute = input.bool(true, "Enable MOU Breakout Route (no pullback)")
breakConfirmPct = input.float(0.3, "Break confirm: close > R*(1+%)", step=0.1)
bigBodyLookback = input.int(20, "Break candle body MA length", minval=5)
bigBodyMult = input.float(1.2, "Break candle: body >= MA*mult", step=0.1)
requireCloseNearHigh = input.bool(true, "Break candle: close near high")
closeNearHighPct = input.float(25.0, "Close near high threshold (% of range)", step=1.0)
allowMACDAboveZeroInstead = input.bool(true, "Breakout route: allow MACD GC above zero instead")
// 表示
showEMA = input.bool(true, "Plot EMAs")
showMou = input.bool(true, "Show MOU label")
showKaku = input.bool(true, "Show KAKU label")
// ★ここを改善：デバッグ表はデフォルトON
showDebugTbl = input.bool(true, "Show debug table (last bar)")
// ★稼働確認ラベル（最終足に必ず出す）
showStatusLbl = input.bool(true, "Show status label (last bar always)")
locChoice = input.string("Below Bar", "Label location", options= )
lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar
// =========================
// EMA
// =========================
emaS = ta.ema(close, emaSLen)
emaM = ta.ema(close, emaMLen)
emaL = ta.ema(close, emaLLen)
plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5")
plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13")
plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26")
emaUpS = emaS > emaS
emaUpM = emaM > emaM
emaUpL = emaL > emaL
goldenOrder = emaS > emaM and emaM > emaL
above26_2days = close > emaL and close > emaL
// 勝率維持の土台（緩めない）
baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2days
// =========================
// MACD
// =========================
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdGC = ta.crossover(macdLine, macdSig)
macdUp = macdLine > macdLine
macdNearZero = math.abs(macdLine) <= macdZeroTh
macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0
macdMouOK = macdGC and macdNearZero and macdUp
macdBreakOK = allowMACDAboveZeroInstead ? (macdMouOK or macdGCAboveZero) : macdMouOK
// =========================
// Volume
// =========================
volMA = ta.sma(volume, volLookback)
volRatio = volMA > 0 ? (volume / volMA) : na
volumeMouOK = volRatio >= volMinRatio and volRatio <= volMaxRatio
volumeStrongOK = volRatio >= volStrong and volRatio <= volMaxRatio
// =========================
// Candle patterns
// =========================
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open)
bullEngulf =
close > open and close < open and
close >= open and open <= close
bigBull =
close > open and
open < emaM and close > emaS and
(body > ta.sma(body, 20))
candleOK = pinbar or bullEngulf or bigBull
// =========================
// Resistance / Pullback route
// =========================
res = ta.highest(high, pivotLen)
pullbackPct = res > 0 ? (res - close) / res * 100.0 : na
pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct
brokeRes = ta.crossover(close, res )
barsSinceBreak = ta.barssince(brokeRes)
afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars)
pullbackRouteOK = afterBreakZone and pullbackOK
// =========================
// Breakout route (押し目なし初動ブレイク)
// =========================
breakConfirm = close > res * (1.0 + breakConfirmPct / 100.0)
bullBreak = close > open
bodyMA = ta.sma(body, bigBodyLookback)
bigBodyOK = bodyMA > 0 ? (body >= bodyMA * bigBodyMult) : false
rng = math.max(high - low, syminfo.mintick)
closeNearHighOK = not requireCloseNearHigh ? true : ((high - close) / rng * 100.0 <= closeNearHighPct)
mou_breakout =
useBreakoutRoute and
baseTrendOK and
breakConfirm and
bullBreak and
bigBodyOK and
closeNearHighOK and
volumeStrongOK and
macdBreakOK
mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK
mou = mou_pullback or mou_breakout
// =========================
// KAKU (Strict): 8条件 + 最終三点
// =========================
cond1 = emaUpS and emaUpM and emaUpL
cond2 = goldenOrder
cond3 = above26_2days
cond4 = macdGCAboveZero
cond5 = volumeMouOK
cond6 = candleOK
cond7 = pullbackOK
cond8 = pullbackRouteOK
all8_strict = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8
final3 = pinbar and macdGCAboveZero and volumeStrongOK
kaku = all8_strict and final3
// =========================
// Display (猛 / 猛B / 確)
// =========================
showKakuNow = showKaku and kaku
showMouPull = showMou and mou_pullback and not kaku
showMouBrk = showMou and mou_breakout and not kaku
plotshape(showMouPull, title="MOU_PULLBACK", style=shape.labelup, text="猛",
color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny)
plotshape(showMouBrk, title="MOU_BREAKOUT", style=shape.labelup, text="猛B",
color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny)
plotshape(showKakuNow, title="KAKU", style=shape.labelup, text="確",
color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small)
// =========================
// ★稼働確認：最終足に必ず出すステータスラベル
// =========================
var label status = na
if showStatusLbl and barstate.islast
label.delete(status)
statusTxt =
"MNO RUNNING " +
"MOU: " + (mou ? "YES" : "no") + " (pull=" + (mou_pullback ? "Y" : "n") + " / brk=" + (mou_breakout ? "Y" : "n") + ") " +
"KAKU: " + (kaku ? "YES" : "no") + " " +
"BaseTrend: " + (baseTrendOK ? "OK" : "NO") + " " +
"MACD(mou): " + (macdMouOK ? "OK" : "NO") + " / MACD(zeroGC): " + (macdGCAboveZero ? "OK" : "NO") + " " +
"Vol: " + (na(volRatio) ? "na" : str.tostring(volRatio, format.mintick)) + " " +
"Pull%: " + (na(pullbackPct) ? "na" : str.tostring(pullbackPct, format.mintick))
status := label.new(bar_index, high, statusTxt, style=label.style_label_left,
textcolor=color.white, color=color.new(color.black, 0))
// =========================
// Alerts
// =========================
alertcondition(mou, title="MNO_MOU", message="MNO: MOU triggered")
alertcondition(mou_breakout, title="MNO_MOU_BREAKOUT", message="MNO: MOU Breakout triggered")
alertcondition(mou_pullback, title="MNO_MOU_PULLBACK", message="MNO: MOU Pullback triggered")
alertcondition(kaku, title="MNO_KAKU", message="MNO: KAKU triggered")
// =========================
// Debug table (optional)
// =========================
var table t = table.new(position.top_right, 2, 14, border_width=1, border_color=color.new(color.white, 60))
fRow(_name, _cond, _r) =>
bg = _cond ? color.new(color.lime, 70) : color.new(color.red, 80)
tx = _cond ? "OK" : "NO"
table.cell(t, 0, _r, _name, text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(t, 1, _r, tx, text_color=color.white, bgcolor=bg)
if showDebugTbl and barstate.islast
table.cell(t, 0, 0, "MNO Debug", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(t, 1, 0, "", text_color=color.white, bgcolor=color.new(color.black, 0))
fRow("BaseTrend", baseTrendOK, 1)
fRow("MOU Pullback", mou_pullback, 2)
fRow("MOU Breakout", mou_breakout, 3)
fRow("Break confirm", breakConfirm, 4)
fRow("Break big body", bigBodyOK, 5)
fRow("Break close high", closeNearHighOK, 6)
fRow("Break vol strong", volumeStrongOK, 7)
fRow("Break MACD", macdBreakOK, 8)
fRow("KAKU all8", all8_strict, 9)
fRow("KAKU final3", final3, 10)
fRow("MOU any", mou, 11)
fRow("KAKU", kaku, 12)
Ripster Clouds + Saty Pivot + RVOL + Trend1. Ripster EMA Clouds (local + higher timeframe)
Local timeframe (your chart TF):
Plots up to 5 EMA clouds (8/9, 5/12, 34/50, 72/89, 180/200 – configurable).
Each cloud is:
One short EMA and one long EMA.
A filled band between them.
Color logic:
Cloud is bullish when short EMA > long EMA (green/blue-ish tone).
Bearish when short EMA < long EMA (red/orange/pink tone).
You can choose:
EMA vs SMA,
Whether to show the lines,
Per-cloud toggles.
MTF Clouds:
Two higher-timeframe EMA clouds:
Cloud 1: 50/55
Cloud 2: 20/21
Computed on a higher TF (default D, but configurable).
Show as thin lines + transparent bands.
Used for:
Visual higher-TF trend,
Optional signal filter (MTF must agree for trades).
2. Saty Pivot Ribbon (time-warped EMAs)
This is basically your Saty Pivot Ribbon integrated:
Uses a “Time Warp” setting to overlay EMAs from another timeframe.
EMAs:
Fast, Pivot, Slow (defaults 8 / 21 / 34).
Clouds:
Fast cloud between fast & pivot EMAs.
Slow cloud between pivot & slow EMAs.
Bullish/bearish colors are distinct from Ripster colors.
Optional highlights:
Can highlight fast/pivot/slow lines separately.
Conviction EMAs:
13 and 48 EMAs (configurable).
When fast conviction EMA crosses over/under slow:
You get triangle arrows (bullish/bearish conviction).
Bias candles:
If enabled, candles are recolored based on:
Price vs Bias EMA,
Candle up/down/doji,
So you see bullish/bearish “bias” directly in candle colors.
3. DTR vs ATR panel (range vs average)
In a small table panel (bottom-center by default):
Computes higher-TF ATR (default 14, TF auto D/W/M, smoothing type selectable).
Measures current range (high–low) on that TF.
Displays:
DTR: X vs ATR: Y Z% (+/-Δ% vs prev)
Where:
Z% = current range / ATR * 100.
Δ% = change vs previous bar’s Z%.
Background color:
Greenish for low move (<≈70%),
Red for high move (≥≈90%),
Yellow in between,
Slightly dimmed when price is below bias EMA.
This tells you: “Is today an average, quiet, or explosive day compared to normal?”
4. SMA Divergence panel
Separate histogram & line panel:
Fast and slow SMAs (default 14 & 30).
Computes price divergence vs SMA in %:
% above/below slow SMA,
% above/below fast SMA.
Shows:
Slow SMA divergence as a semi-transparent column,
Fast SMA divergence as a solid column on top,
EMA of the slow divergence (trend line) colored:
Blue when rising,
Orange/red when falling.
Static upper/lower bands with fill, plus optional zero line.
This gives you a feel for how stretched price is vs its anchors.
5. RVOL table (relative volume)
Small 3×2 table (bottom-right by default):
Inputs:
Average length (default 50 bars),
Optionally show previous candle RVOL.
Calculates:
RVOL now = volume / avg(volume N bars) * 100,
RVOL prev,
RVOL momentum (now – prev) for data window only.
Table columns:
Candle Vol,
RVOL (Now),
RVOL (Prev).
Colors:
200% → “high RVOL” color,
100–200% → “medium RVOL” color,
<100% → “low RVOL” color,
Slightly dimmer if price is below bias EMA.
This is used both visually and optionally as a signal filter (e.g., only trade when RVOL ≥ threshold).
6. Trend Dashboard (Price + 34/50 + 5/12)
Top-right trend box with 3 rows:
Price Action row:
Uses either Bias EMA or custom EMA on close to say:
Bullish (close > trend EMA),
Bearish (close < trend EMA),
Flat.
Ripster 34/50 Cloud row:
Uses 34/50 EMAs: bullish if 34>50, bearish if 34<50.
Ripster 5/12 Cloud row:
Uses 5/12 EMAs: bullish if 5>12, bearish if 5<12.
Then it does a vote:
Counts bullish votes (Price, 34/50, 5/12),
Counts bearish votes,
Depending on mode:
Majority (2 of 3) or Strict (3 of 3).
Output:
Overall Bullish / Bearish / Sideways.
You also get an optional label on the chart like
Overall: Bullish trend with color, and an optional background tint (green/red for bull/bear).
7. VWAP + Buy/Sell Signals
VWAP is plotted as a white line.
Fast “trend” cloud mid: average of 5 & 12 EMAs.
Slow “trend” cloud mid: average of 34 & 50 EMAs.
Buy condition:
5/12 crosses above 34/50 (bullish cloud flip),
Price > VWAP,
Optional filter: MTF Cloud 1 bullish (50/55 on higher TF),
Optional filter: RVOL >= threshold.
Sell condition:
5/12 crosses below 34/50,
Price < VWAP,
Optional same filters but bearish.
When conditions are met:
Plots BUY triangle up below price (distinct teal/green tone).
Plots SELL triangle down above price (distinct magenta/orange tone).
Alert conditions are defined for:
BUY / SELL signals,
Overall Bullish / Bearish / Sideways change,
MTF Cloud 1 trend flips.
8. Data Window metrics
For easy backtesting / inspection via TradingView’s data window, it exposes:
DTR% (Current) and DTR% Momentum,
RVOL% (Now), RVOL% (Prev), RVOL% Momentum.
TL;DR – What does this script do for you?
It turns your chart into a multi-framework trend and momentum dashboard:
Ripster EMA clouds for short/medium trend & S/R.
Saty Ribbon for higher-TF pivot structure and conviction.
RVOL + DTR/ATR for context (is this a big and well-participated move?).
SMA divergence panel for overextension/stretch.
A compact trend table that tells you Price vs 34/50 vs 5/12 in one glance.
Buy/Sell markers + alerts when:
short-term Ripster trend (5/12) flips over/under medium (34/50),
price agrees with VWAP,
plus optional filters (MTF trend and / or RVOL).
Basically: it’s a trend + confirmation + context system wrapped into one indicator, with most knobs configurable in the settings.
Strategy with VWRSI and SAVE orders Long or Short or BothVWRSI is very powerful indicator coded by Algo Alpha and I Make Strategy of it
But there is no stop loss instate the Strategy is using Save orders to minimize the market manipulation
The best to used is side way market with long and short enable
The Strategy trigger long or short market order -
long - ta.crossover(rsi, 20)
short - ta.crossunder(rsi, 80)
And if is not take profit from the first trade start with the save trades until will do
the sum of the first order - base order and the save order can be adjust from the user
as well the deviation from the first order
IF some user have questions let me know
Opening Range Breakout with VWAP & RSI ConfirmationThis indicator identifies breakout trading opportunities based on the Opening Range Breakout (ORB) strategy combined with intraday VWAP and higher timeframe RSI confirmation.
Opening Range: Calculates the high, low, and midpoint of the first 15 or 30 minutes (configurable) after your specified market open time.
Intraday VWAP: A volume-weighted average price calculated manually and reset daily, tracking price action throughout the trading day.
RSI Confirmation: Uses RSI from a user-selected higher timeframe (1H, 4H, or Daily) to confirm signals.
Buy Signal: Triggered when VWAP breaks above the Opening Range High AND the RSI is below or equal to the buy threshold (default 30).
Sell Signal: Triggered when VWAP breaks below the Opening Range Low AND the RSI is above or equal to the sell threshold (default 70).
Visuals: Plots Opening Range levels and VWAP on the chart with clear buy/sell markers and optional labels showing RSI values.
Alerts: Provides alert conditions for buy and sell signals to facilitate timely trading decisions.
This tool helps traders capture momentum breakouts while filtering trades based on momentum strength indicated by RSI.
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)Extended Indicator Description
Ichimoku + VWAP + OBV + ATR Full System is a rule-based intraday trading indicator designed specifically for NQ day trading, focusing on trend alignment, participation confirmation, and volatility-aware execution.
This indicator does not rely on a single signal or crossover. Instead, it integrates multiple market dimensions into one structured framework to help traders identify high-probability trend continuation scenarios while avoiding low-quality, range-bound conditions.
System Philosophy
The core idea of this system is simple:
trade only when trend, price location, volume, and volatility are aligned.
Each component plays a specific role and is not meant to be used in isolation. The indicator works best when all conditions reinforce the same directional bias.
Component Breakdown
Ichimoku Cloud
Used to define the primary market structure and directional bias. The system favors trades only when price action aligns clearly above or below the cloud, helping filter out indecisive or transitional phases.
VWAP
Acts as a session-based equilibrium reference. Price position and distance relative to VWAP are used to confirm whether the market is trending with intent rather than reverting to the mean.
OBV (On-Balance Volume)
Provides participation and flow confirmation. OBV helps validate whether price movement is supported by volume, reducing the likelihood of false breakouts or weak trend signals.
ATR (Average True Range)
Used as a volatility filter and risk-awareness tool. ATR conditions help the system avoid low-volatility environments and support more realistic expectations for intraday movement.
Trade Logic Overview
The system is designed around trend-following pullbacks, not prediction or counter-trend trading.
When trend structure is established and confirmed by VWAP positioning and OBV behavior, pullback zones within the trend become areas of interest. ATR conditions ensure that trades are taken only when sufficient movement potential exists.
Rather than generating frequent signals, the system prioritizes selectivity and clarity, making it suitable for disciplined day traders who value context over quantity.
Intended Use
This indicator is built for:
NQ intraday and day trading
Trend continuation and pullback strategies
Traders who prefer structured, confirmation-based systems
Lower to mid intraday timeframes such as 3-minute, 5-minute, and 15-minute charts
Important Notes
This is not an automated trading system and does not provide guaranteed results. The indicator is designed as a decision-support tool to assist with market context, directional bias, and trade timing. Risk management, execution, and position sizing remain the responsibility of the user.
롱/숏 삼각형 시그널
동그라미 청산 시그널
VWAP 밴드 기반 방향성
OBV 보조지표
이름 (Name)
BTC Scalping Signal – VWAP + OBV
짧은 설명 (Short Description)
VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다.
긴 설명 (Long Description)
이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다.
VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다.
OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다.
시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다.
삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
Rectangle Breakout Patterns📊 Rectangle Breakout Pattern Detector (Support & Resistance)
This indicator is a dynamic tool designed to automatically identify and visualize Rectangle Continuation Patterns and Trading Ranges based on pure price action. It focuses on finding horizontal areas of long-term support and resistance where price is consolidating before an eventual breakout.
💡 What It Does
The core function of this indicator is to detect and plot the boundaries of significant consolidation areas on your chart. It follows a multi-step confirmation process:
Level Detection: It automatically identifies significant Pivot Highs and Lows.
Pattern Confirmation: It confirms Support and Resistance by counting the number of times price 'touches' a level (controlled by the Min Pivot Touches setting).
Visualization: Once confirmed, it draws a Box around the consolidation area. This box automatically extends to the right as long as the price remains contained, showing the active trading range.
This provides an objective, code-driven approach to a classic chart pattern often relied upon by technical analysts.
