SVE Compression Mirror (Companion)Why This Tool Exists
Intraday markets are driven not only by direction, but by volatility state and energy dynamics. Periods of compression, expansion, and transition often determine whether price behavior favors patience, rotation, or acceleration.
The SVE Compression Mirror (Companion) was created to make volatility compression and release conditions visible in real time, helping traders understand what type of market environment is currently present before forming directional conviction.
This indicator displays a two-state compression condition consistent with that referenced by the SVE Volatility Engine, exposed here as a standalone lower-pane context display.
________________________________________
How the Indicator Is Intended to Be Used
This indicator is designed strictly as a context layer, independent of trade direction or bias.
It highlights:
• Volatility compression versus expansion
• Transitions between compressed and released states
• Momentum behavior as energy builds or dissipates
The purpose is to support environment awareness, not to predict outcomes or generate signals.
________________________________________
What Appears on the Chart
When applied, the indicator displays:
• A lower-pane histogram representing momentum behavior
• Visual markers indicating whether volatility is compressed or released
• A clean, uncluttered presentation optimized for intraday use
The display is intentionally minimal and designed to pair with other structural or decision-support tools.
________________________________________
Intended Users
This indicator is designed for:
• Intraday traders seeking clearer volatility context
• Discretionary traders who value regime awareness
• Professionals and advanced retail traders who prioritize environment over prediction
________________________________________
Disclaimer
This indicator is provided for informational and analytical purposes only and does not constitute investment advice.
Chỉ báo và chiến lược
GS Volume Truth Serum (With Alerts)this tells you when institutions are behind a move and its not a bull trap
GMMA fill (v5) + Golden Crossover HighlightsGMMA Fill (v5) + Golden Crossover Highlights
This setup combines the Guppy Multiple Moving Average (GMMA) Fill version 5 with Golden Crossover signals to identify strong trend continuation and potential breakout points. GMMA provides layered moving averages for short- and long-term trend analysis, while the Golden Crossover highlights bullish momentum shifts, making it ideal for spotting entry opportunities in trending markets.
Universe_Super MA [MTF & Multi-Type]**Overview**
"Universe_Super MA" is a comprehensive trend analysis tool designed to overcome indicator limits. Instead of adding 4 separate moving averages, this script allows you to monitor 4 distinct Moving Averages within a single indicator slot.
It features full **Multi-Timeframe (MTF)** capabilities, meaning you can view higher timeframe trends (e.g., Daily 200 SMA) while trading on lower timeframes (e.g., 15-minute chart).
**Default Configuration (Institutional Setup)**
The indicator comes pre-loaded with a powerful institutional trend setup:
1. **50 Period (Green):** Short-term trend and dynamic support.
2. **99 Period (Orange):** Medium-term trend filter.
3. **200 Period (Red):** The classic institutional dividing line between Bull and Bear markets.
4. **389 Period (Blue):** A long-term "Deep Trend" baseline used to identify major market cycles and heavy support/resistance levels.
**Key Features**
* **fully Customizable:** You can change the Length, Color, and Width of each line.
* **Multi-Timeframe (MTF):** Select any timeframe for any MA. (e.g., Keep MA1 on the "Chart" timeframe, but lock MA4 to the "Daily" timeframe).
* **6 MA Types:** Choose between SMA, EMA, WMA, HMA (Hull), RMA, and VWMA for each line independently.
* **Clean Interface:** Toggle any line On/Off via settings without removing the indicator.
**Usage & Interpretation**
* **Trend Identification:** The 200 (Red) and 389 (Blue) lines are designed to visualize the long-term market bias. In technical analysis, price action sustaining above these levels is generally considered a bullish context, while price below suggests a bearish context.
* **Crossover Monitoring:** The script facilitates the observation of interactions between short-term and long-term averages (e.g., the 50 crossing the 200), allowing users to easily spot common technical patterns like the "Golden Cross".
* **Dynamic Levels:** The 99 and 200-period lines act as dynamic levels that may align with technical support or resistance zones during market retracements.
**Settings**
* **Timeframe:** Leave empty to use the current chart's timeframe, or select a specific one (e.g., "1D" or "4H").
* **Type:** Select your preferred calculation method (SMA is default).
**Disclaimer**
This tool is for educational purposes and trend visualization only. Always manage your risk.
RSI + STOCH RSI - Marx_CapitalSimple RSI + STOCH RSI indicator in one pane. In addition to the standard 30/70 and 20/80 RSI levels you have three adjustable levels (eg. 0, 50, 100) to indicate STOCH RSI overbought/oversold scenarios.
Dolar MEP Implicito de CEDEARs y ADRs**Implicit USD Exchange Rate from CEDEARs and ADRs**
This indicator calculates the implicit ARS/USD exchange rate using CEDEAR pairs traded on the Argentine stock exchange (BYMA). It compares the ARS price of a CEDEAR against its USD MEP version (D-suffix ticker) to derive the implicit dollar rate.
**How it works:**
Divide the ARS ticker price by the D-suffix ticker price. Example: AAPL / AAPLD = Implicit rate.
**Features:**
• Top 10 CEDEARs ranked by 30-day average volume
• AL30/AL30D bond benchmark as white reference line
• Filter: Top 5, Top 10, or All
• Custom ticker input field
• Info box with best buy and best sell rates
• Colored labels for each ticker
**Default Tickers:** PAMP, GGAL, AMZN, IBIT, GOOGL, NVDA, MELI, VIST, NFLX, GLD
**Usage:** Apply to any chart. Works independently of chart symbol.
**Disclaimer:** For informational and educational purposes only. Eco Valores S.A. does NOT provide investment advice. Consult a qualified financial advisor before investing.
Eco Valores S.A. - ALyC 109/CNV
Work Break Area BackgroundWorkdays and off-hours are distinguished by background color for easy date differentiation during reviews.
Multi-Contraction VCP DetectorThis indicator highlights low volume and contracted price movement prior to possible breakouts.
MGC1! - Stats jour du Weekly High/Low Lun VenIndicator Name: Weekly High/Low Day Statistics (Probability Dashboard)
Description:
This indicator provides a statistical edge by analyzing historical price action to determine which day of the week is most likely to form the Weekly High or the Weekly Low.
Designed for intraday traders and swing traders, this tool helps you anticipate the structure of the weekly candle. By understanding the probabilities of when the extremums (HOD/LOD of the week) usually occur, you can better align your trade setups with the true weekly expansion.
Key Features:
Historical Analysis: Calculates statistics based on a user-defined lookback period (default is 104 weeks / 2 years) to ensure statistical significance.
Probability Dashboard: Displays a clean table on the chart showing the percentage chance for each day (Monday to Friday) to be the High or Low of the week.
Rolling Window: Automatically updates data at the close of every week to keep probabilities current.
How to Use (ICT/SMC Context):
Weekly Profiles: Use this data to validate "Classic Tuesday Low" or "Wednesday/Thursday Reversal" profiles.
Bias Confirmation: If the statistics show a 40% chance of the Weekly Low forming on a Tuesday, and price is diving into a Higher Timeframe POI on Tuesday morning, this adds high-probability confluence to your long setups.
Targeting: If the Weekly High typically forms on Thursday and it is currently Wednesday, you can hold runners for an expansion into the next day.
Borna's Zones NY Borna's Zones marks two important time-based zones on the chart: the 08:00 zone and the 09:00 zone.
The 14:00 zone identifies initial liquidity. This zone sets the range where early market participants create significant activity.
The 15:00 zone serves as a reference for confirmation. After 15:00, the indicator helps you identify whether the 14:00 zone should be considered cleared.
Both zones are automatically extended until 17:00, providing clear visual references for potential market reactions.
No trading is recommended after 17:00, as the early morning zones lose relevance.
This indicator is useful for traders who focus on pre-market and early session liquidity, helping to visualize key levels where price may react.
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix
This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis.
It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade.
How it Works
The strategy relies on the "Golden Trio" of confluence:
1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as:
Price is above the Session VWAP.
The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends).
2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session).
Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish.
Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish.
3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts.
Key Features
The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H).
Trend: Checks if Price > EMA 21.
VWAP: Checks if Price > VWAP.
ORB: Checks if Price is currently above/below the Opening Range of that session.
D H/L: Warns if price is near the Daily High or Low.
PD H/L: Warns if price is near the Previous Daily High or Low.
Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move).
Chart: Draws Green/Red zones extending to the right, showing where price may react.
Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning.
Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs.
Visual Guide (Chart Legend)
⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box.
🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum.
🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum.
🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks.
🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here.
🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here.
⚪ Dots (Trailing Stop):
🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss.
🔴 Red Dots: These appear above price during a Bearish trend.
🏷️ Buy / Sell Labels:
BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish.
SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish.
Settings
Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise.
Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor.
Order Blocks: Adjust the sensitivity and lookback period for Order Block detection.
Risk: Customize the ATR multiplier for the trailing stop.
Disclaimer
This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
8menutakeshi//@version=5
indicator("猛の掟・初動スクリーナー(完全版:8項目コメント表示)", overlay=true, max_labels_count=50)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Inputs
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
showPanel = input.bool(true, "コメント表示")
panelPos = input.string("右上", "コメント位置", options= )
lastBarOnly = input.bool(true, "最後の足だけ更新(推奨)")
// EMA
lenEma1 = input.int(5, "EMA 5", minval=1)
lenEma2 = input.int(13, "EMA 13", minval=1)
lenEma3 = input.int(26, "EMA 26", minval=1)
// MACD
macdFast = input.int(12, "MACD fast", minval=1)
macdSlow = input.int(26, "MACD slow", minval=1)
macdSig = input.int(9, "MACD signal", minval=1)
// Volume
volMaLen = input.int(5, "出来高平均(N日)", minval=1)
volMinMul = input.float(1.3, "出来高倍率Min", step=0.1)
volMaxMul = input.float(2.0, "出来高倍率Max", step=0.1)
volFinalMul = input.float(1.5, "最終三点:出来高倍率(>=)", step=0.1)
// Candle
wickBodyMult = input.float(1.8, "下ヒゲ判定:下ヒゲ/実体 >=", step=0.1)
atrLen = input.int(14, "ATR長", minval=1)
bigBodyATR = input.float(1.2, "大陽線判定:実体 >= ATR×", step=0.1)
// Breakout / Pullback
resLookback = input.int(20, "レジスタンス:過去N日高値", minval=5)
pullMinPct = input.float(5.0, "押し目Min(%)", step=0.5)
pullMaxPct = input.float(15.0, "押し目Max(%)", step=0.5)
retestAllowPct = input.float(1.0, "ブレイク価格の許容下抜け(%)", step=0.1)
stateExpireBars = input.int(30, "ブレイク状態の期限(本数)", minval=5)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Series
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ema5 = ta.ema(close, lenEma1)
ema13 = ta.ema(close, lenEma2)
ema26 = ta.ema(close, lenEma3)
= ta.macd(close, macdFast, macdSlow, macdSig)
volAvg = ta.sma(volume, volMaLen)
volMul = volAvg == 0 ? na : (volume / volAvg)
atr = ta.atr(atrLen)
// Candle parts
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// 1-3: トレンド
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ema5Up = ema5 > ema5
ema13Up = ema13 > ema13
ema26Up = ema26 > ema26
allEmaUp = ema5Up and ema13Up and ema26Up
golden = (ema5 > ema13) and (ema13 > ema26)
above26_2days = (close > ema26) and (close > ema26 )
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// 4: MACD(ゼロライン上GC)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
macdZeroGC = ta.crossover(macdLine, macdSignal) and (macdLine > 0)
histShrinkToUp = (macdHist > macdHist ) and (macdHist < macdHist ) // 参考表示
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// 5: 出来高
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
volOK = not na(volMul) and (volMul >= volMinMul) and (volMul <= volMaxMul)
volStrongOK = not na(volMul) and (volMul >= volFinalMul) // 最終三点用
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// 6: ローソク(ピンバー/包み/大陽線)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
longLowerWick = (body > 0) and ((lowerWick / body) >= wickBodyMult) and (upperWick <= lowerWick * 0.6) and (close > open)
bullEngulf = (close < open ) and (close > open) and (open <= close ) and (close >= open )
bigBull = (close > open) and (body >= atr * bigBodyATR) and (open < ema13) and (close > ema5)
candleOK = longLowerWick or bullEngulf or bigBull
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// 7-8: ブレイク後押し目(押し目 -5〜15%)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
res = ta.highest(high, resLookback)
breakout = ta.crossover(close, res)
var bool inBreak = false
var float breakPrice = na
var int breakBar = na
var float postBreakHigh = na
if breakout
inBreak := true
breakPrice := res
breakBar := bar_index
postBreakHigh := high
if inBreak
postBreakHigh := na(postBreakHigh) ? high : math.max(postBreakHigh, high)
pullPct = (inBreak and not na(postBreakHigh) and postBreakHigh != 0) ? (postBreakHigh - close) / postBreakHigh * 100.0 : na
pullOK = not na(pullPct) and (pullPct >= pullMinPct) and (pullPct <= pullMaxPct)
retestOK = inBreak and not na(breakPrice) and (close >= breakPrice * (1 - retestAllowPct/100.0))
breakoutPullbackOK = inBreak and retestOK and pullOK
if inBreak and not na(breakBar) and (bar_index - breakBar > stateExpireBars)
inBreak := false
breakPrice := na
breakBar := na
postBreakHigh := na
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// 8項目チェック(1つでも欠けたら見送り)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
chk1 = allEmaUp
chk2 = golden
chk3 = above26_2days
chk4 = macdZeroGC
chk5 = volOK
chk6 = candleOK
chk7 = pullOK
chk8 = breakoutPullbackOK
all8 = chk1 and chk2 and chk3 and chk4 and chk5 and chk6 and chk7 and chk8
// 最終三点(ヒゲ×出来高×MACD)
// ※「成立時は買い確定」の定義に合わせて、all8に加えてfinal3も必須にしている
final3 = longLowerWick and volStrongOK and macdZeroGC
judge = (all8 and final3) ? "判定:買い" : "判定:見送り"
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// コメント文字列(←txt を必ず先に定義)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
fMark(x) => x ? "達成" : "未達"
txt =
"【8項目チェック】 " +
"1 EMA全上向き: " + fMark(chk1) + " " +
"2 黄金隊列: " + fMark(chk2) + " " +
"3 26EMA上2日: " + fMark(chk3) + " " +
"4 MACDゼロ上GC: " + fMark(chk4) + " " +
"5 出来高" + str.tostring(volMinMul) + "-" + str.tostring(volMaxMul) + ": " + fMark(chk5) + " " +
"6 ローソク条件: " + fMark(chk6) + " " +
"7 押し目-" + str.tostring(pullMinPct) + "〜" + str.tostring(pullMaxPct) + "%: " + fMark(chk7) + " " +
"8 ブレイク後押し目: " + fMark(chk8) + " " +
"最終三点(ヒゲ×出来高×MACD): " + (final3 ? "成立" : "未成立") + " " +
judge + " " +
"(参考)出来高倍率=" + (na(volMul) ? "na" : str.tostring(volMul, "#.00")) +
" / 押し目率=" + (na(pullPct) ? "na" : str.tostring(pullPct, "#.0")) + "%" +
" / hist転換=" + (histShrinkToUp ? "YES" : "NO")
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Table(位置は if で確定。三項演算子で改行しない)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
var pos = position.top_right
if panelPos == "右上"
pos := position.top_right
else if panelPos == "左上"
pos := position.top_left
else if panelPos == "右下"
pos := position.bottom_right
else
pos := position.bottom_left
var table t = table.new(pos, 1, 1)
// 描画条件
drawNow = showPanel and (lastBarOnly ? barstate.islast : true)
bg = (all8 and final3) ? color.new(color.lime, 80) : color.new(color.gray, 15)
fg = color.white
if drawNow
table.cell(t, 0, 0, txt, text_color=fg, bgcolor=bg, text_size=size.small)
else
table.cell(t, 0, 0, "", text_color=fg, bgcolor=color.new(color.black, 100))
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// 視覚補助
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
plot(ema5, color=color.new(color.yellow, 0), title="EMA5")
plot(ema13, color=color.new(color.orange, 0), title="EMA13")
plot(ema26, color=color.new(color.red, 0), title="EMA26")
plotshape(all8 and final3, title="BUY", style=shape.triangleup, location=location.belowbar,
color=color.new(color.lime, 0), size=size.tiny, text="BUY")
Delta Grid Delta Grid H/L/C (Approx)
Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart.
Instead of guessing what happened inside a candle, this indicator shows you:
Delta High – the maximum aggressive buying reached within the bar
Delta Low – the maximum aggressive selling reached within the bar
Delta Final – where delta closed when the candle finished
All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior.
How It Works
This indicator approximates intrabar delta by:
Aggregating lower-timeframe volume
Classifying volume direction based on price movement
Tracking the running delta inside each candle
Recording the highest, lowest, and final delta values per bar
A heat-mapped background is applied to the Final Delta column:
Green shades = net aggressive buying
Red shades = net aggressive selling
Brighter colors = stronger imbalance relative to recent bars
Key Features
Stand-alone Delta Grid panel below the chart
Per-bar Delta High / Delta Low / Delta Final
Heat-mapped Final Delta for fast visual interpretation
Optional time column for precise bar reference
Adjustable lookback and scaling settings
Clean layout designed for futures, crypto, and index trading
How Traders Use It
This tool is ideal for:
Spotting absorption at highs and lows
Identifying failed breakouts and traps
Confirming trend strength or exhaustion
Reading order-flow shifts without footprint charts
Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure
Important Notes
This is an approximate delta calculation due to TradingView data limitations.
It does not use true bid/ask volume.
For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required.
Recommended Settings
Use a lower timeframe (1s–15s if available) for better intrabar accuracy
Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
15min Candle > 20% of Daily ATRThis Pine Script® (v6) indicator, titled "15min Candle > 20% of Daily ATR", detects unusually large 15-minute candles by comparing their size (full range or body) to a user-defined percentage (default 20%) of the previous day's Average True Range (ATR, default 14-period).
NSE Swing Breadth NSE Swing Breadth – Market Health Dashboard (0–200, % from Neutral)
Overview
NSE Swing Breadth – Market Health Dashboard is a market-wide health and regime indicator designed to track internal strength and participation across Large-, Mid-, and Small-cap indices in the Indian equity market.
Instead of focusing on price alone, this tool measures how strongly each segment is behaving relative to its own swing trend, normalizes those movements, and combines them into a single Market Health score. The result is a clean, objective dashboard that helps traders identify Risk-On, Caution, and Risk-Off regimes.
This indicator is best used for position sizing, exposure control, and timing aggressiveness, rather than individual stock entries.
Data Used
The indicator internally tracks three broad NSE indices:
Large Caps → NIFTY100EQUALWEIGHT
Mid Caps → NIFTYMIDCAP150
Small Caps → NIFTYSMLCAP250
Using equal-weighted and broad indices ensures the signal reflects true market participation, not just index heavyweights.
Core Logic
1. Swing Strength Model
For each index, the script calculates normalized swing strength:
Price is compared to its EMA swing baseline
The deviation from the EMA is normalized using the EMA of absolute deviations
This creates a volatility-adjusted strength value, allowing fair comparison across market regimes
This answers the question:
Is this segment pushing meaningfully above or below its recent trend?
2. Strength Converted to % from Neutral (Baseline = 100)
Each segment’s strength is converted into percentage-style points around a neutral baseline of 100:
100 = Neutral
+15 = +15% strength above neutral
–20 = –20% weakness below neutral
These values are plotted as three smooth lines:
Blue → Large Caps
Orange → Mid Caps
Purple → Small Caps
This makes relative leadership and divergence immediately visible.
3. Market Health Score (0–100)
The indicator combines all three segments into a single Market Health score:
Large Caps → 40% weight
Mid Caps → 35% weight
Small Caps → 25% weight
Extreme values are clamped to avoid distortion, and the final score is normalized to a 0–100 scale:
70–100 → Strong, broad participation
40–69 → Mixed / unstable participation
0–39 → Weak, risk-off conditions
Visual Components
📊 Market Health Histogram
A vertical histogram displays Market Health (0–100) with enhanced visibility:
🟢 Green (≥ 70) → Strong Risk-On regime
🟠 Orange (40–69) → Caution / Transition
🔴 Red (< 40) → Risk-Off regime
The histogram is visually compact and designed to reflect true market health, not exaggerated spikes.
📈 Strength Lines (Baseline = 100)
Three strength lines show % deviation from neutral:
Above 100 → Positive internal strength
Below 100 → Internal weakness
These lines help identify:
Leadership (which segment is driving the market)
Early deterioration (small/mid caps weakening first)
Broad confirmation (all segments rising together)
Dashboard Tables
📌 Market Regime Table (Bottom-Left)
Displays the current market regime:
🟢 RISK ON
🟡 CAUTION
🔴 RISK OFF
Along with the exact Market Health score (0–100).
📌 Strength Table (Top-Right)
Shows Large / Mid / Small cap strength as % from neutral, for example:
+18% → 18% above neutral
–12% → 12% below neutral
This avoids misleading interpretations and keeps values intuitive and actionable.
How to Use This Indicator
Risk-On (Green)
Favor full position sizes, trend-following strategies, and broader participation trades.
Caution (Orange)
Reduce leverage, tighten stops, and be selective. Expect choppiness.
Risk-Off (Red)
Prioritize capital protection, reduce exposure, and avoid aggressive longs.
This indicator is not an entry signal — it is a market environment filter.
⚠️ Important Style Setting (Required)
For correct visualization:
Settings → Style → Uncheck “Labels on price scale”
This prevents the indicator’s internal 0–200 model scale from interfering with the chart’s price scale and keeps the pane clean and readable.
Summary
NSE Swing Breadth – Market Health Dashboard provides a clear, objective view of market internals, helping traders align their risk with the true underlying condition of the market — not just price movement.
It is especially effective for:
Market regime identification
Exposure management
Avoiding false breakouts in weak breadth environments
Risk & Order Size Calculatorhello,
this will calculate the risk and you may change the script as per your risk appetite, my advise do not risk more than 2% of your capital.
Thank you
EM Levelsstdv levels for you using VIX and VXN for ES and NQ so hopefully it helps you try it out and have fun
takeshi MNO_2Step_Screener_MOU_MOUB_KAKU//@version=5
indicator("MNO_2Step_Screener_MOU_MOUB_KAKU", overlay=true, max_labels_count=500, max_lines_count=500)
// =========================
// Inputs
// =========================
emaSLen = input.int(5, "EMA Short (5)", minval=1)
emaMLen = input.int(13, "EMA Mid (13)", minval=1)
emaLLen = input.int(26, "EMA Long (26)", minval=1)
macdFast = input.int(12, "MACD Fast", minval=1)
macdSlow = input.int(26, "MACD Slow", minval=1)
macdSignal = input.int(9, "MACD Signal", minval=1)
macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05)
volDays = input.int(5, "Volume avg (days equivalent)", minval=1)
volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1)
volStrong = input.float(1.5, "Strong volume ratio (MOU-B/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, "Valid bars after break", minval=1)
showEMA = input.bool(true, "Plot EMAs")
showLabels = input.bool(true, "Show labels (猛/猛B/確)")
showShapes = input.bool(true, "Show shapes (猛/猛B/確)")
confirmOnClose = input.bool(true, "Signal only on bar close (recommended)")
locChoice = input.string("Below", "Label location", options= )
lblLoc = locChoice == "Below" ? 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_2bars = close > emaL and close > emaL
baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2bars
// =========================
// 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
macdKakuOK = macdGCAboveZero
// =========================
// Volume (days -> bars)
// =========================
sec = timeframe.in_seconds(timeframe.period)
barsPerDay = (sec > 0 and sec < 86400) ? math.round(86400 / sec) : 1
volLookbackBars = math.max(1, volDays * barsPerDay)
volMA = ta.sma(volume, volLookbackBars)
volRatio = volMA > 0 ? (volume / volMA) : na
volumeMouOK = not na(volRatio) and volRatio >= volMinRatio and volRatio <= volMaxRatio
volumeStrongOK = not na(volRatio) and 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 = (body > 0) and (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 = not na(pullbackPct) and pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct
brokeRes = ta.crossover(close, res )
barsSinceBreak = ta.barssince(brokeRes)
afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars)
pullbackRouteOK = afterBreakZone and pullbackOK
// =========================
// Signals (猛 / 猛B / 確)
// =========================
mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK
mou_breakout = baseTrendOK and ta.crossover(close, res ) and volumeStrongOK and macdKakuOK
cond1 = emaUpS and emaUpM and emaUpL
cond2 = goldenOrder
cond3 = above26_2bars
cond4 = macdKakuOK
cond5 = volumeMouOK
cond6 = candleOK
cond7 = pullbackOK
cond8 = pullbackRouteOK
all8 = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8
final3 = pinbar and macdKakuOK and volumeStrongOK
kaku = all8 and final3
// 確優先(同一足は確だけ出す)
confirmed = confirmOnClose ? barstate.isconfirmed : true
sigKAKU = kaku and confirmed
sigMOU = mou_pullback and not kaku and confirmed
sigMOUB = mou_breakout and not kaku and confirmed
// =========================
// Visualization
// =========================
if showLabels and sigMOU
label.new(bar_index, low, "猛", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black)
if showLabels and sigMOUB
label.new(bar_index, low, "猛B", style=label.style_label_up, color=color.new(color.green, 0), textcolor=color.black)
if showLabels and sigKAKU
label.new(bar_index, low, "確", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black)
plotshape(showShapes and sigMOU, title="MOU", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny)
plotshape(showShapes and sigMOUB, title="MOUB", style=shape.labelup, text="猛B", color=color.new(color.green, 0), textcolor=color.black, location=lblLoc, size=size.tiny)
plotshape(showShapes and sigKAKU, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small)
// =========================
// Alerts
// =========================
alertcondition(sigMOU, title="MNO_MOU", message="MNO: 猛(押し目)")
alertcondition(sigMOUB, title="MNO_MOU_BREAKOUT", message="MNO: 猛B(ブレイク)")
alertcondition(sigKAKU, title="MNO_KAKU", message="MNO: 確(最終)")
alertcondition(sigMOU or sigMOUB or sigKAKU, title="MNO_ALL", message="MNO: 猛/猛B/確 いずれか")
USD Liquidity Regime IndexTrack global risk regimes with this USD Liquidity Composite —
It aims to be a daily macro indicator blending normalised DXY (50%), UUP (20%), 10Y Treasury yields (20%), and VIX (10%).
How to read:
When the blue index is above its red SMA: Strong USD, tightening liquidity → Risk-Off mode (often bearish for Nasdaq, BTC, and risk assets).
When the line is below: Weak USD, abundant liquidity → Risk-On (bullish environment).
Example: In 2022's bear market, the index stayed high above SMA most of the year, signalling persistent Risk-Off as USD surged.
Features on-chart table, regime background colors, and crossover alerts.
Great contextual tool for macro traders IMO.
Educational only — not financial advice.
Use at your own risk.
By @frank_vergaram
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently?
Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns?
Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor?
Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz?
1. Problem
Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else.
2. How It Works
Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart.
3. What's It Good For?
Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
EMA 8 / 20 / 200Created to easily use the 8/20/200 strategy.
This indicator is designed to give a clear, multi-timeframe view of trend, momentum, and structure using three exponential moving averages.
1. Trend direction (EMA 200 – pink)
The 200 EMA acts as the long-term trend filter.
Price above the 200 EMA suggests a bullish market bias.
Price below the 200 EMA suggests a bearish market bias.
Many traders avoid taking trades against this higher-timeframe direction.
2. Momentum and trade bias (EMA 20 – blue)
The 20 EMA reflects short-term momentum.
When price respects the 20 EMA in an uptrend, pullbacks often provide continuation entries.
In downtrends, the 20 EMA frequently acts as dynamic resistance.
3. Entry timing (EMA 8 – yellow)
The 8 EMA is a fast reaction line used for precise timing.
Crosses of the 8 EMA over the 20 EMA can signal momentum shifts.
Strong trends often show price holding above (or below) the 8 EMA during impulse moves.
4. Confluence and trade filtering
The indicator works best when the EMAs are aligned:
Bullish alignment: EMA 8 > EMA 20 > EMA 200
Bearish alignment: EMA 8 < EMA 20 < EMA 200
Misaligned EMAs usually indicate consolidation or low-probability conditions.
5. Risk management context
EMAs can act as dynamic support and resistance:
Stops are often placed beyond the 20 EMA or 200 EMA depending on trade horizon.
Loss of EMA structure is a warning sign that the trend may be weakening.
In short, the indicator is a trend-first, momentum-second framework that helps you decide when to trade, in which direction, and when to stay out.
Timeframe Overlay 24HrDaily High–Low Box (00:00–23:59)
This indicator highlights each trading day with a shaded box spanning from 00:00 to 23:59 (based on the selected timezone) and covering the day’s highest and lowest price.
• Green box when the day closes above its open
• Red box when the day closes below its open
• Historical days are fully drawn for easy comparison
• Current day box builds dynamically as new candles form
Useful for visualising daily range, market bias, and intraday structure across all timeframes.
RMI Valid FVG & IFVGRMI • Valid FVG & iFVG (Smart Money Concept)
RMI • Valid FVG & iFVG is a precision-focused Fair Value Gap indicator designed for traders who follow Smart Money Concepts (SMC) / ICT logic and want to filter out low-quality, random gaps.
This indicator does not plot every FVG.
It highlights only structurally relevant FVGs that form in the direction of the trend and have a high probability of being filled.
Core Features
Bullish & Bearish Fair Value Gaps
Inverse Fair Value Gaps (iFVG)
Trend-aligned FVG filtering
Automatic invalidation after mitigation
Clean background zones for clear visibility
Optimized for intraday trading
Adjustable settings for scalping, intraday & swing trading
Smart Filtering Logic
FVGs are validated using market structure context
Only FVGs that form within the active trend are displayed
Weak or low-probability gaps are ignored
Inverse FVGs appear after strong displacement and rejection
Zones are visually faded once mitigated
This helps reduce chart noise and keeps the focus on high-probability reaction zones.
Best Use Cases
Entry refinement after BOS / CHoCH
Confluence with liquidity grabs
Premium / discount zone trading
Intraday & session-based trading
Works well with ICT, SMC, price action & structure-based strategies
Recommended Timeframes
Scalping: M1 – M5
Intraday (default): M5 – M15
Swing Trading: M15 – H1
(Default settings are optimized for intraday trading.)
Important Notes
This is not a signal indicator
No repainting
No buy/sell arrows
Designed as a decision-support tool, not an automated system
Always combine with proper risk management and confirmation.
RMI • Precision over noise.
Trade structure, not randomness.






















