Squeeze Momentum Indicator [Comunidad Rafael Cepeda]Este indicador fue adaptado para el uso de la comunidad de Rafael cepeda Trader
インジケーターとストラテジー
Squeeze Momentum Indicator [Carlos Mauricio Vizcarra]El squezee Momentum para la comunidad de Rafael Cepeda trader
EMA ± ATR Channel (True Range)EMA ± ATR Channel (True Range)
Tagline: Adaptive EMA channel with ATR-based volatility bands — perfect for swing trading, intraday setups, and managing risk on high-volatility stocks.
This script plots a dynamic price channel around a configurable EMA using the Average True Range (ATR, Wilder’s True Range) as a volatility buffer.
Upper band = EMA + (ATR × multiplier)
Lower band = EMA – (ATR × multiplier)
📊 Features:
Adjustable EMA length, ATR length, and ATR multiplier
Visual channel fill between upper and lower bands
Optional on-chart help panel with practical combos
⚡ Practical Combos for Volatile Stocks:
EMA 20 + ATR 14 × 2.0 → most common swing trading setup
EMA 10 + ATR 14 × 1.5 → very responsive, good for intraday/high-beta names
EMA 20 + ATR 20 × 2.5 → smoother, wider channel, avoids whipsaws in chaotic stocks
✅ Use cases:
Identify dynamic support/resistance zones
Volatility-based stop-loss & take-profit placement
Spot overextensions from the trend midline
🔖 Tags:
ema, atr, channel, volatility, trend, support resistance, stop loss, swing trading, intraday, risk management, indicator
Stochastic Divergence MarkerThis script marks all the times the price movement moves contradictory to the Stochastic. This usually shows a change in momentum and thus a possible reversal.
Long Multi-TimeframeTo be used on a 30 minute time frame with Market Bias changing from red to light red or green, 4 or more consecutive red dots on the 15 minute and 30 minute frames inside the market bias, and a red to green Bx-Trender, backed up with good flow (real-time plus green net cumulative flow).
主力资金进出监控器Main Capital Flow Monitor-MEWINSIGHTMain Capital Flow Monitor Indicator
Indicator Description
This indicator utilizes a multi-cycle composite weighting algorithm to accurately capture the movement of main capital in and out of key price zones. The core logic is built upon three dimensions:
Multi-Cycle Pressure/Support System
Using triple timeframes (500-day/250-day/90-day) to calculate:
Long-term resistance lines (VAR1-3): Monitoring historical high resistance zones
Long-term support lines (VAR4-6): Identifying historical low support zones
EMA21 smoothing is applied to eliminate short-term fluctuations
Dynamic Capital Activity Engine
Proprietary VARD volatility algorithm:
VARD = EMA
Automatically amplifies volatility sensitivity by 10x when price approaches the safety margin (VARA×1.35), precisely capturing abnormal main capital movements
Capital Inflow Trigger Mechanism
Capital entry signals require simultaneous fulfillment of:
Price touching 30-day low zone (VARE)
Capital activity breaking recent peaks (VARF)
Weighted capital flow verified through triple EMA:
Capital Entry = EMA / 618
Visualization:
Green histogram: Continuous main capital inflow
Red histogram: Abnormal daily capital movement intensity
Column height intuitively displays capital strength
Application Scenarios:
Consecutive green columns → Main capital accumulation at bottom
Sudden expansion of red columns → Abnormal main capital rush
Continuous fluctuations near zero axis → Main capital washing phase
Core Value:
Provides 1-3 trading days early warning of main capital movements, suitable for:
Medium/long-term investors identifying main capital accumulation zones
Short-term traders capturing abnormal main capital breakouts
Risk control avoiding main capital distribution phases
Parameter Notes: Default parameters are optimized through historical A-share market backtesting. Users can adjust cycle parameters according to different market characteristics (suggest extending cycles by 20% for European/American markets).
Formula Features:
Multi-timeframe weighted synthesis technology
Dynamic sensitivity adjustment mechanism
Main capital activity intensity quantification
Early warning function for capital movements
Suitable Markets:
Stocks, futures, cryptocurrencies and other financial markets with obvious main capital characteristics.
指标名称:主力资金进出监控器
指标描述:
本指标通过多周期复合加权算法,精准捕捉主力资金在关键价格区域的进出动向。核心逻辑基于三大维度构建:
多周期压力/支撑体系
通过500日/250日/90日三重时间框架,分别计算:
长期压力线(VAR1-3):监控历史高位阻力区
长期支撑线(VAR4-6):识别历史低位承接区
采用EMA21平滑处理,消除短期波动干扰
动态资金活跃度引擎
独创VARD波动率算法:
当价格接近安全边际(VARA×1.35)时自动放大波动敏感度10倍,精准捕捉主力异动
资金进场触发机制
资金入场信号需同时满足:
价格触及30日最低区域(VARE)
资金活跃度突破近期峰值(VARF)
通过三重EMA验证的加权资金流:
资金入场 = EMA / 618
可视化呈现:
绿色柱状图:主力资金持续流入
红色柱状图:当日资金异动量级
柱体高度直观显示资金强度
使用场景:
绿色柱体连续出现 → 主力底部吸筹
红色柱体突然放大 → 主力异动抢筹
零轴附近持续波动 → 主力洗盘阶段
核心价值:
提前1-3个交易日预警主力资金动向,适用于:
中长线投资者识别主力建仓区间
短线交易者捕捉主力异动突破
风险控制规避主力出货阶段
参数说明:默认参数经A股历史数据回测优化,用户可根据不同市场特性调整周期参数(建议欧美市场延长周期20%)
Prima de Riesgo High Yield + Eventos HistóricosPrima de risgo de los bonos basura. Muetra los periodos de recesión económica en las bolsas.
Super SignalWhen all lines are below the 20 line its a super signal to buy. When all trends are above the 80 line it is a super signal to sell.
Trinity Multi-Timeframe MA TrendOriginal script can be found here: {Multi-Timeframe Trend Analysis } www.tradingview.com
1. all credit the original author www.tradingview.com
2. why change this script:
- added full transparency function to each EMA
- changed to up and down arrows
- change the dashboard to be able to resize and reposition
How to Use This Indicator
This indicator, "Trinity Multi-Timeframe MA Trend," is designed for TradingView and helps visualize Exponential Moving Average (EMA) trends across multiple timeframes. It plots EMAs on your chart, fills areas between them with directional colors (up or down), shows crossover/crossunder labels, and displays a dashboard table summarizing EMA directions (bullish ↑ or bearish ↓) for selected timeframes. It's useful for multi-timeframe analysis in trading strategies, like confirming trends before entries.
Configure Settings (via the Gear Icon on the Indicator Title):
Timeframes Group: Set up to 5 custom timeframes (e.g., "5" for 5 minutes, "60" for 1 hour). These determine the multi-timeframe analysis in the dashboard. Defaults: 5m, 15m, 1h, 4h, 5h.
EMA Group: Adjust the lengths of the 5 EMAs (defaults: 5, 10, 20, 50, 200). These are the moving averages plotted on the chart.
Colors (Inline "c"): Choose uptrend color (default: lime/green) and downtrend color (default: purple). These apply to plots, fills, labels, and dashboard cells.
Transparencies Group: Set transparency levels (0-100) for each EMA's plot and fill (0 = opaque, 100 = fully transparent). Defaults decrease from EMA1 (80) to EMA5 (0) for a gradient effect.
Dashboard Settings Group (newly added):
Dashboard Position: Select where the table appears (Top Right, Top Left, Bottom Right, Bottom Left).
Dashboard Size: Choose text size (Tiny, Small, Normal, Large, Huge) to scale the table for better visibility on crowded charts.
Understanding the Visuals:
EMA Plots: Five colored lines on the chart (EMA1 shortest, EMA5 longest). Color changes based on direction: uptrend (your selected up color) if rising, downtrend (down color) if falling.
Fills Between EMAs: Shaded areas between consecutive EMAs, colored and transparent based on the faster EMA's direction and your transparency settings.
Crossover Labels: Arrow labels (↑ for crossover/uptrend start, ↓ for crossunder/downtrend start) appear on the chart at EMA direction changes, with tooltips like "EMA1".
Dashboard Table (top-right by default):
Rows: EMA1 to EMA5 (with lengths shown).
Columns: Selected timeframes (converted to readable format, e.g., "5m", "1h").
Cells: ↑ (bullish/up) or ↓ (bearish/down) arrows, colored green/lime or purple based on trend, with fading transparency for visual hierarchy.
Use this to quickly check alignment across timeframes (e.g., all ↑ in multiple TFs might signal a strong uptrend).
Trading Tips:
Trend Confirmation: Look for alignment where most EMAs in higher timeframes are ↑ (bullish) or ↓ (bearish).
Entries/Exits: Use crossovers on the chart EMAs as signals, confirmed by the dashboard (e.g., enter long if lower TF EMA crosses up and higher TFs are aligned).
Customization: On lower timeframe charts, set dashboard timeframes to higher ones for top-down analysis. Adjust transparencies to avoid chart clutter.
Limitations: This is a trend-following tool; combine with volume, support/resistance, or other indicators. Backtest on historical data before live use.
Performance: Works best on trending markets; may whipsaw in sideways conditions.
Supertrend DashboardOverview
This dashboard is a multi-timeframe technical indicator dashboard based on Supertrend. It combines:
Trend detection via Supertrend
Momentum via RSI and OBV (volume)
Volatility via a basic candle-based metric (bs)
Trend strength via ADX
Multi-timeframe analysis to see whether the trend is bullish across different timeframes
It then displays this info in a table on the chart with colors for quick visual interpretation.
2️⃣ Inputs
Dashboard settings:
enableDashboard: Toggle the dashboard on/off
locationDashboard: Where the table appears (Top right, Bottom left, etc.)
sizeDashboard: Text size in the table
strategyName: Custom name for the strategy
Indicator settings:
factor (Supertrend factor): Controls how far the Supertrend lines are from price
atrLength: ATR period for Supertrend calculation
rsiLength: Period for RSI calculation
Visual settings:
colorBackground, colorFrame, colorBorder: Control dashboard style
3️⃣ Core Calculations
a) Supertrend
Supertrend is a trend-following indicator that generates bullish or bearish signals.
Logic:
Compute ATR (atr = ta.atr(atrLength))
Compute preliminary bands:
upperBand = src + factor * atr
lowerBand = src - factor * atr
Smooth bands to avoid false flips:
lowerBand := lowerBand > prevLower or close < prevLower ? lowerBand : prevLower
upperBand := upperBand < prevUpper or close > prevUpper ? upperBand : prevUpper
Determine direction (bullish / bearish):
dir = 1 → bullish
dir = -1 → bearish
Supertrend line = lowerBand if bullish, upperBand if bearish
Output:
st → line to plot
bull → boolean (true = bullish)
b) Buy / Sell Trigger
Logic:
bull = ta.crossover(close, supertrend) → close crosses above Supertrend → buy signal
bear = ta.crossunder(close, supertrend) → close crosses below Supertrend → sell signal
trigger → checks which signal was most recent:
trigger = ta.barssince(bull) < ta.barssince(bear) ? 1 : 0
1 → Buy
0 → Sell
c) RSI (Momentum)
rsi = ta.rsi(close, rsiLength)
Logic:
RSI > 50 → bullish
RSI < 50 → bearish
d) OBV / Volume Trend (vosc)
OBV tracks whether volume is pushing price up or down.
Manual calculation (safe for all Pine versions):
obv = ta.cum( math.sign( nz(ta.change(close), 0) ) * volume )
vosc = obv - ta.ema(obv, 20)
Logic:
vosc > 0 → bullish
vosc < 0 → bearish
e) Volatility (bs)
Measures how “volatile” the current candle is:
bs = ta.ema(math.abs((open - close) / math.max(high - low, syminfo.mintick) * 100), 3)
Higher % → stronger candle moves
Displayed on dashboard as a number
f) ADX (Trend Strength)
= ta.dmi(14, 14)
Logic:
adx > 20 → Trending
adx < 20 → Ranging
g) Multi-Timeframe Supertrend
Timeframes: 1m, 3m, 5m, 10m, 15m, 30m, 1H, 2H, 4H, 12H, 1D
Logic:
for tf in timeframes
= request.security(syminfo.tickerid, tf, f_supertrend(ohlc4, factor, atrLength))
array.push(tf_bulls, bull_tf ? 1.0 : 0.0)
bull_tf ? 1.0 : 0.0 → converts boolean to number
Then we calculate user rating:
userRating = (sum of bullish timeframes / total timeframes) * 10
0 → Strong Sell, 10 → Strong Buy
4️⃣ Dashboard Table Layout
Row Column 0 (Label) Column 1 (Value)
0 Strategy strategyName
1 Technical Rating textFromRating(userRating) (color-coded)
2 Current Signal Buy / Sell (based on last Supertrend crossover)
3 Current Trend Bullish / Bearish (based on Supertrend)
4 Trend Strength bs %
5 Volume vosc → Bullish/Bearish
6 Volatility adx → Trending/Ranging
7 Momentum RSI → Bullish/Bearish
8 Timeframe Trends 📶 Merged cell
9-19 1m → Daily Bullish/Bearish for each timeframe (green/red)
5️⃣ Color Logic
Green shades → bullish / trending / buy
Red / orange → bearish / weak / sell
Yellow → neutral / ranging
Example:
dashboard_cell_bg(1, 1, colorFromRating(userRating))
dashboard_cell_bg(1, 2, trigger ? color.green : color.red)
dashboard_cell_bg(1, 3, superBull ? color.green : color.red)
Makes the dashboard visually intuitive
6️⃣ Key Logic Flow
Calculate Supertrend on current timeframe
Detect buy/sell triggers based on crossover
Calculate RSI, OBV, Volatility, ADX
Request Supertrend on multiple timeframes → convert to 1/0
Compute user rating (percentage of bullish timeframes)
Populate dashboard table with colors and values
✅ The result: You get a compact, fast, multi-timeframe trend dashboard that shows:
Current signal (Buy/Sell)
Current trend (Bullish/Bearish)
Momentum, volatility, and volume cues
Trend across multiple timeframes
Overall technical rating
It’s essentially a full trend-strength scanner directly on your chart.
RSI + Stoch + Bollinger — Tableau compact (coin sup. droit)RSI + Stoch + Bollinger — Tableau compact (coin sup. droit)
童貞2_MACDUp and down arrows will appear to let you know which way to place it. It is important to be able to analyze the chart before using this indicator. We recommend using our homemade MACD at 15 minutes.
Simple Pivot Zones (Error-free) — v11. Core Idea
The indicator we built is a “pivot-based zone detector with breakout signals.”
It does three things:
1. Finds important swing highs and swing lows in price (pivots).
2. Creates support and resistance zones around those pivots using volatility (ATR).
3. Watches price action to see if those zones get broken, then gives signals.
________________________________________
2. What is a Pivot?
A pivot high happens when the price makes a local peak — a bar is higher than the bars around it.
A pivot low happens when the price makes a local dip — a bar is lower than the bars around it.
These are natural turning points in the market, showing where buyers or sellers had strong control temporarily. Traders often use them to draw support (pivot lows) and resistance (pivot highs).
________________________________________
3. Why Use ATR for Zones?
ATR (Average True Range) measures the average volatility of a market. Instead of drawing just a flat line at the pivot, we create a zone above and below it, sized according to ATR.
Example:
• If ATR is 20 points and zone size is 0.5, then the zone extends 10 points above and below the pivot level.
This turns thin “lines” into thicker areas of interest. Real markets don’t respect razor-thin levels, but zones are more realistic.
________________________________________
4. How Support & Resistance Zones Work
• Resistance zones are created at pivot highs. They mark where sellers were strong before.
• Support zones are created at pivot lows. They mark where buyers were strong before.
Over time, these zones extend forward until the price interacts with them.
________________________________________
5. Breakout Detection
The indicator checks whether the price closes beyond the last pivot high or low:
• If price closes above the last pivot high, it means buyers have broken resistance.
• If price closes below the last pivot low, it means sellers have broken support.
These moments are significant because they often trigger trend continuation.
________________________________________
6. Parameters It Uses
1. Pivot Length – how many bars to look back and forward to confirm a pivot. A higher length makes pivots less frequent but stronger.
2. ATR Length and Multiplier – defines the size of the zones (wider zones in more volatile markets).
3. Max Zones to Keep – avoids clutter by keeping only the most recent zones.
4. Colors & Styling – helps traders visually separate bullish and bearish zones.
________________________________________
7. How It Helps Traders
• Visual clarity: Instead of guessing support and resistance, the chart automatically highlights them.
• Dynamic adjustment: Zones adapt to volatility using ATR, making them useful in both calm and volatile markets.
• Breakout signals: Traders get notified when price actually breaks key levels, instead of reacting late.
• Cleaner charts: Instead of dozens of hand-drawn lines, the tool manages zones for you, deleting old ones.
________________________________________
8. The Logic in One Sentence
It finds important swing highs and lows, turns them into support/resistance zones scaled by volatility, and alerts you when the market breaks through them.
________________________________________
👉 In practice, this helps traders spot where the market is likely to bounce or break, and gives a framework to plan trades — for example, buying on bullish breakouts or selling on bearish breakouts.
________________________________________
DashBoard 2.3.1📌 Indicator Name:
DashBoard 2.3 – Smart Visual Market Overlay
📋 Description:
DashBoard 2.3 is a clean, efficient, and highly informative market overlay, designed to give you real-time context directly on your chart — without distractions. Whether you're swing trading or investing long-term, this tool keeps critical market data at your fingertips.
🔍 Key Features:
Symbol + Timeframe + Market Cap
Shows the current ticker and timeframe, optionally with real-time market cap.
ATR 14 with Volatility Signal
Displays ATR with color-coded risk levels:
🟢 Low
🟡 Moderate
🔴 High
⚫️ Extreme
You can choose between Daily ATR or timeframe-based ATR (auto-adjusted to chart resolution).
Adaptive Labeling
The ATR label updates to reflect the resolution:
ATR 14d (daily)
ATR 14W (weekly)
ATR 14H (hourly), etc.
Moving Average Tracker
Instantly shows whether price is above or below your selected moving average (e.g., 150 MA), with green/red indication.
Earnings Countdown
Clearly shows how many days remain until the next earnings report.
Industry & Sector Info (optional)
Useful for thematic or sector-based trading strategies.
Fully Customizable UI
Choose positioning, padding, font size, and which data to show. Designed for minimalism and clarity.
✅ Smart Logic:
Color dots appear only in relevant conditions (e.g., ATR color signals shown only on daily when enabled).
ATR display automatically reflects your time frame, if selected.
Clean chart integration – the overlay sits quietly in a corner, enhancing your analysis without intruding.
🧠 Ideal for:
Swing traders, position traders, and investors who want fast, high-impact insights directly from the chart.
Anyone looking for a compact, beautiful, and informative dashboard while they trade.
Alerta de toque de la 200-Week SMACuando el precio toca la MMS de 200 semanas es una posible compra.
EMA & VWAP Precision Overlay📢WELCOME TO FUTURE YOU!
📈 This isn’t your grandma’s moving average script.
This is pure alpha visualization. We're talking 9, 21, 50, and 200 EMAs. Plus VWAP Session AND Anchored VWAP — all dynamically labeled so you know exactly where price is cooking.
🚀 Features:
Toggle lines like a boss
Label everything (or nothing, if you’re into minimalist flexing)
Anchored VWAP for sniper entries (you pick the start)
Labels shift forward so your candles don’t cry
Built for traders who actually care about levels and not just vibes. Whether you’re scalping dog coins or trend-riding BTC, this thing keeps your chart clean, informative, and slightly intimidating.
I use it. It works. You should probably use it too.
If it gives you psychic powers — you're welcome.
If it doesn't — still looks cool.
Candle Colored by Volume Z-score with S/R [Morty]All Credits to :
I have just added Support and Resistance line
This indicator colors the candles according to the z-score of the trading volume. You can easily see the imbalance on the chart. You can use it at any timeframe.
In statistics, the standard score (Z-score) is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured. Raw scores above the mean have positive standard scores, while those below the mean have negative standard scores.
This script uses trading volume as source of z-score by default.
Due to the lack of volume data for some index tickers, you can also choose candle body size as source of z-score.
features:
- custom source of z-score
- volume
- candle body size
- any of above two
- all of above two
- custom threshold of z-score
- custom color chemes
- custom chart type
- alerts
default color schemes:
- green -> excheme bullish imbalance
- blue -> large bullish imbalance
- red -> excheme bearish imbalance
- purple -> large bearish imbalance
- yellow -> low volume bars, indicates "balance", after which volatility usually increases and tends to continue the previous trend
Examples:
* Personally, I use dark theme and changed the candle colors to black/white for down/up.
Volume as Z-score source
Proper CandlesThis Pine Script indicator, titled "Proper Candles", is a custom implementation of candlesticks on a TradingView chart. It modifies the traditional candlestick representation by adjusting the open, high, and low values, and overlays these adjusted candles on the chart. The main purpose of this indicator is to create a more visually intuitive candle that reflects price movements with a focus on momentum and continuity between bars.
🔍 Full Description of the "Proper Candles" Indicator
📌 Script Header
indicator("Proper Candles", overlay=true)
This declares the indicator with the name "Proper Candles" and places it directly on the price chart (overlay=true), instead of a separate pane.
🔄 Adjusted Candle Calculations
This indicator modifies the standard candlestick components (open, high, and low) to produce a smoother or more logical visual flow between candles.
adjustedOpen = close
adjustedHigh = math.max(high , close )
adjustedLow = math.min(low , close )
Explanation:
adjustedOpen = close
The candle’s open is set to the previous candle’s close, rather than the actual open.
This creates a continuous price flow from one candle to the next, visually eliminating gaps.
adjustedHigh = math.max(high , close )
The high of the candle is adjusted to be the maximum between the actual high of the current candle and the previous close.
This ensures that the high fully encompasses any price movement from the previous close to the current high.
adjustedLow = math.min(low , close )
The low is set as the minimum between the current low and the previous close, again ensuring continuity in the visual range of the candle.
These adjustments are primarily aimed at eliminating price gaps and creating a more consistent visual representation of price action.
🎨 Bar Coloring Logic
barColor = close > close ? color.rgb(42, 170, 42) : color.rgb(195, 42, 42)
If the current close is higher than the previous close, the candle is colored green (rgb(42, 170, 42)).
If the current close is lower or equal to the previous close, the candle is colored red (rgb(195, 42, 42)).
This coloring is based on momentum or directional movement, rather than open-close comparisons within the same candle.
🕯️ Candle Plotting
plotcandle(adjustedOpen, adjustedHigh, adjustedLow, close,
title="Proper Candles", color=barColor, wickcolor=color.black, bordercolor=barColor)
Candle Body:
Open: Adjusted to previous close.
Close: Actual close of the current bar.
Color: Based on whether price increased or decreased from the last close.
Wicks:
High/Low: Adjusted to include previous close if it lies outside the current high/low.
Wick Color: Always black, creating a clean visual contrast.
Border Color: Same as candle body color for a unified look.
🧠 Key Benefits & Use Cases
Eliminates Visual Gaps Between Candles:
By using the previous close as the open, the chart avoids discontinuities that can be distracting in fast-moving or gappy markets.
Highlights Momentum Clearly:
Color logic based on close-to-close changes makes it easy to see directional momentum at a glance.
Ideal for Algorithmic or Visual Trend Analysis:
Can help in detecting streaks of bullish or bearish momentum.
Better for Visual Continuity:
This can be helpful for traders who rely on pattern recognition, as it maintains a flowing chart narrative without abrupt jumps.
⚠️ Limitations & Considerations
Not Suitable for Gap Analysis:
Since it eliminates gaps by design, traders who analyze open gaps as part of their strategy might find this misleading.
May Differ from Price Feed:
Visually, these candles differ from the actual price action candles, which could cause confusion if not properly understood.
For Visualization, Not Execution:
This should be used for visual aid, not for decision-making in trading bots or automation without further validation.
Proper CandlesadjustedOpen = close
The candle’s open is set to the previous candle’s close, rather than the actual open.
This creates a continuous price flow from one candle to the next, visually eliminating gaps.
adjustedHigh = math.max(high , close )
The high of the candle is adjusted to be the maximum between the actual high of the current candle and the previous close.
This ensures that the high fully encompasses any price movement from the previous close to the current high.
adjustedLow = math.min(low , close )
The low is set as the minimum between the current low and the previous close, again ensuring continuity in the visual range of the candle.
These adjustments are primarily aimed at eliminating price gaps and creating a more consistent visual representation of price action.
BIST30 % Above Moving Average (Breadth)
BIST30 % Above Moving Average (Breadth)
This indicator shows the percentage of BIST30 stocks trading above a selected moving average.
It is a market breadth tool, designed to measure the overall health and participation of the market.
How it works
By default, it uses the 50-day SMA.
You can switch between SMA/EMA and choose different periods (5 / 20 / 50 / 200).
The script checks each BIST30 stock individually and counts how many are closing above the chosen MA.
Interpretation
Above 80% → Overbought zone (short-term correction likely).
Below 20% → Oversold zone (potential rebound).
Around 50% → Neutral / indecisive market.
If the index (BIST:XU030) rises while this indicator falls → the rally is narrow-based, led by only a few stocks (a warning sign).
Use cases
Short-term traders → Use MA=5 or 20 for momentum signals.
Swing / Medium-term investors → Use MA=50 for market health.
Long-term investors → Use MA=200 to track bull/bear market cycles.
Notes
This script covers only BIST30 stocks by default.
The list can be updated for BIST100 or specific sectors (e.g., banks, industrials).
Breadth indicators should not be used as standalone buy/sell signals — combine them with price action, volume, and other technical tools for confirmation.