Stockbee ComboBullCustom indicator for identifying stocks that meet the ComboBull criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
อินดิเคเตอร์และกลยุทธ์
🟥 Synthetic 10Y Real Yield (US10Y - Breakeven)This script calculates and plots a synthetic U.S. 10-Year Real Yield by subtracting the 10-Year Breakeven Inflation Rate (USGGBE10) from the nominal 10-Year Treasury Yield (US10Y).
Real yields are a core macro driver for gold, crypto, growth stocks, and bond pricing, and are closely monitored by institutional traders.
The script includes key reference lines:
0% = Below zero = deeply accommodative regime
1.5% = Common threshold used by macro desks to evaluate gold upside breakout conditions
📈 Use this to monitor macro shifts in real-time and front-run capital flows during major CPI, NFP, and Fed events.
Update Frequency: Daily (based on Treasury market data)
FNGAdataCloseClose prices for FNGA ETF (Dec 2018–May 2025)
The Close prices for FNGA ETF (December 2018 – May 2025) represent the final trading price recorded at the end of each regular U.S. market session (4:00 p.m. Eastern Time) over the entire lifespan of this leveraged exchange-traded note. Initially issued under the ticker FNGU and later rebranded as FNGA in March 2025 before its redemption in May 2025, the product was designed to provide 3x daily leveraged exposure to the MicroSectors FANG+™ Index, which tracks a concentrated group of large-cap technology and tech-enabled growth leaders such as Apple, Amazon, Meta (Facebook), Netflix, and Alphabet (Google).
Close prices are widely regarded as the most important reference point in market data because they establish the official end-of-day valuation of a security. For leveraged products like FNGA, the closing price is especially critical, since it directly determines the reset value for the following trading session. This daily compounding effect means that FNGA’s closing levels often diverged significantly from the long-term performance of its underlying index, creating both opportunities and risks for traders.
FNGAdataLow“Low prices for FNGA ETF (Dec 2018–May 2025)
The Low prices for FNGA ETF (December 2018 – May 2025) capture the lowest trading price reached during each regular U.S. market session over the entire lifespan of this leveraged exchange-traded note. Initially launched under the ticker FNGU, and later rebranded as FNGA in March 2025 before its eventual redemption, the fund was structured to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index concentrated on a small basket of leading technology and tech-enabled growth companies such as Meta (Facebook), Amazon, Apple, Netflix, and Alphabet (Google), along with a few other innovators.
The Low price is particularly important in the study of FNGA because it highlights the intraday downside extremes of a highly volatile, leveraged product. Since FNGA was designed to reset leverage daily, its lows often reflected moments of amplified market stress, when declines in the underlying FANG+™ stocks were multiplied through the 3x leverage structure.
FNGAdataHighHigh prices for FNGA ETF (Dec 2018–May 2025)
The High prices for FNGA ETF (December 2018 – May 2025) represent the maximum trading price reached during each regular U.S. market session over the entire trading lifespan of this leveraged exchange-traded note. Originally issued under the ticker FNGU, and later rebranded as FNGA in March 2025 before its redemption, the fund was designed to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index focused on a concentrated group of large-cap technology and technology-enabled companies such as Facebook (Meta), Amazon, Apple, Netflix, and Google (Alphabet), along with a few other growth leaders.
The High price data from December 2018 through May 2025 is crucial for understanding how FNGA behaved during intraday trading sessions. Because FNGA was a daily resetting 3x leveraged product, its intraday highs often displayed extreme sensitivity to movements in the underlying FANG+™ stocks, resulting in sharp upward spikes during bullish days and pronounced volatility during broader market rallies.
Momentum+This script provides a colored histogram of recent price action with the price derivative method for finding momentum.
BTC Sigma CloudOverview
The BTC Sigma Cloud indicator calculates and displays 1, 2, and 3 sigma price movements for Bitcoin (BTC) on a rolling basis, visualized as a cloud. It shows historical volatility bands and projects them forward for the next 7 days.
Settings:
Vol Lookback: Default is 20 periods. Adjust to change the volatility calculation window.
Interpretation:
Cloud Bands: The cloud consists of three shaded layers representing 1σ, 2σ, and 3σ moves above and below the current price.
1σ (Innermost): 68% probability of price staying within this range.
2σ (Middle): 95% probability.
3σ (Outermost): 99.7% probability.
Historical View: The cloud tracks past price movements based on volatility.
Projection: The cloud extends 7 days forward, indicating potential price ranges based on current volatility.
Labels: Subtle labels (1σ, -1σ, 2σ, -2σ, 3σ, -3σ) mark the upper and lower bounds of each sigma level on the latest bar for clarity.
Trading Use:
Use the cloud to gauge potential support/resistance zones.
Monitor price behavior near sigma levels for breakout or reversal signals.
The projected cloud helps anticipate future price ranges for planning trades.
Notes
Best used on daily charts for Bitcoin.
Adjust the lookback period to suit shorter or longer-term analysis.
Combine with other indicators for confirmation.
FNGAdataOpenOpen prices for FNGA ETF (Dec 2018–May 2025)
The FNGA ETF (originally launched under the FNGU ticker before being renamed in March 2025) tracked the MicroSectors FANG+™ Index with 3x daily leverage and was designed to give traders magnified exposure to a concentrated basket of large-cap technology and tech-enabled companies. The fund’s price history contains multiple phases due to ticker changes, corporate actions, and its eventual redemption in mid-2025.
When looking specifically at Open prices from December 2018 through May 2025, this dataset provides the daily opening values for FNGA across its entire lifecycle. The opening price is the first traded price at the start of each regular U.S. market session (9:30 a.m. Eastern Time). It is an important measure for traders and analysts because it reflects overnight sentiment, pre-market positioning, and often sets the tone for intraday volatility.
Gain Alarm (tijd + prijs gain)Gain Alarm (time + price)
This script triggers an alert once the price stays fully above a chosen line for a predefined period of time.
Select your own ticker, timeframe, and price level.
The alert is triggered only once per session.
A line is plotted on the chart with a label showing the selected timeframe, so you know which alert is active.
⚠️ Note: you must manually create a separate TradingView alert using the condition provided by the script.
Weekly VwapsThe Weekly Vwaps indicator lets you plot weekly Volume-Weighted Average Price (VWAP) lines for up to six months of your choosing, with years ranging from 2020 to 2050. It’s a focused tool pulled straight from the weekly VWAP section of the Advanced VWAP Calendar indicator, keeping all the same controls and look but expanded to handle more months. You can use it alongside the original indicator if you need extra weekly VWAPs (up to 30 lines total) or run it on its own for a clean, dedicated setup.
How It Works: Six Month Groups: Pick any six months (e.g., Jan 2020, Sep 2025, or Jul 2040) and enable up to five weekly VWAPs per month (W1–W5), starting from Monday midnight.
Default Setup: Loads with September 2025 VWAPs turned on, with other months (August–April 2025) off but ready to enable. All default to 2025.
Customization: Toggle all weeks in a month or pick specific ones. Adjust label sizes (tiny to huge) and line widths (1–5). Colors are teal, fuchsia, red, green, and yellow/orange for weeks 1–5, with clear labels like “W1 Sep 2025 123.45”.
Label Control: A “Show All Labels” switch lets you hide labels to keep your chart tidy.
Intraday Only: Works on intraday timeframes (e.g., 5-minute, 1-hour) for accurate VWAPs.
Why Use It: Add to Advanced VWAP Calendar: If the original’s two-month limit isn’t enough, this adds six more months of weekly VWAPs for deeper analysis.
Standalone Option: Perfect if you only want weekly VWAPs without other features, with flexibility to pick any months and years.
User-Friendly: Ready to go with September 2025 enabled, easy to tweak for past or future data.
Get Started: Add it to your TradingView chart, and September 2025 VWAPs will show up instantly. Adjust months, years, or toggles in the settings to focus on what you need. Test it on intraday charts and use the label toggle to manage clutter. Great for traders wanting precise, customizable weekly VWAPs!
Spiderlines BTCUSD - daily/weekly📘 Documentation – Daily and Weekly Spider Lines for Bitcoin
🔹 Purpose of the Script
This script draws dynamic “Spider Lines” in the Bitcoin chart.
The lines connect certain historical candles with a reference candle and extend to the right.
These act as guideline levels that can serve as potential support or resistance zones.
🔹 How It Works
The script operates in two modes, depending on the active chart timeframe:
Weekly Mode (timeframe.isweekly)
The reference date is July 1, 2019.
The number of weeks since that date is calculated.
This defines the connection candle (connection_candle).
Several predefined offsets (e.g., +32, +34, +36 …) are added to the reference to determine starting candles.
Lines are drawn from these candles toward the connection candle.
→ Line color: green
Daily Mode (timeframe.isdaily)
Same reference date: July 1, 2019.
The number of days since that date is calculated.
Again, a connection candle is set.
A different set of offsets (e.g., +224, +238, +252 …) defines the starting candles.
Lines are drawn accordingly.
→ Line color: red
🔹 Line Logic
Each line connects:
Start → bar_index at high
End → bar_index at close
Lines are extended indefinitely to the right (extend.right).
Appearance: dashed style, width 2.
🔹 Error Handling
If a calculated candle index does not exist in the chart history (e.g., chart data does not go back far enough),
a label is plotted in the chart showing the message:
"Daily idx out of range: 252"
This way, missing lines can be diagnosed easily.
🔹 Color Convention
Weekly Spider Lines → Green
Daily Spider Lines → Red
🔹 Use Cases
Visualization of historical cyclic line patterns.
Helps in technical chart analysis: spotting potential reaction zones in price movement.
Designed mainly for long-term traders and analysts observing Bitcoin in Daily or Weekly timeframes.
🔹 Limitations
Works only on Daily and Weekly charts.
Requires chart data going back to July 1, 2019.
Based purely on fixed offsets → not a classical indicator like Moving Averages or RSI.
Valid Monthly LevelsValid Monthly Levels (No Sweeps) + Smart Labels
This tool automatically plots the highs and lows of each completed monthly candle and tracks their validity in real time. A level is considered valid until it has been swept (price trades strictly beyond that high or low). Once swept, the line and label can either be removed or dimmed depending on your settings.
Key features:
Monthly highs and lows: Each month’s range is marked with horizontal levels that extend forward.
Valid vs. swept logic: Levels are only valid until breached; swept levels can be hidden or kept as dotted/grey lines.
Smart labels: Each level is labeled with the month and year (e.g., Sep ’25 H/L). On higher timeframes, labels sit at the candle; on lower timeframes, labels automatically shift to the right edge so they don’t disappear off-screen.
Customizable appearance: Choose colors for highs, lows, and swept levels; adjust line styles; and limit how many past months are shown.
Clutter control: Cap the maximum number of labels, so your chart stays readable even on small intraday timeframes.
This indicator is useful for traders who track monthly supply/demand extremes, liquidity sweeps, and higher-timeframe context when executing on lower timeframes.
Perp Imbalance Zones • Pro (clean)USD Premium (perp vs spot) → (Perp − Spot) / Spot.
Imbalance (z-score of that premium) → how extreme the current premium is relative to its own history over lenPrem bars.
Hysteresis state machine → flips to a SHORT bias when perp-long pressure is extreme; flips to LONG bias when perp-short pressure is extreme. It exits only after the imbalance cools (prevents whipsaw).
Price stretch filter (±σ) → optional Bollinger check so signals only fire when price is already stretched.
HTF confirmation (optional) → require higher-timeframe imbalance to agree with the current-TF bias.
Gradient visuals → line + background tint deepen as |z| grows (more extreme pressure).
What you see on the pane
A single line (z):
Above 0 = perp richer than spot (perp longs pressing).
Below 0 = perp cheaper than spot (perp shorts pressing).
Guides: dotted levels at ±enterZ (entry) and ±exitZ (cool-off/exit).
Background tint:
Red when state = SHORT bias (perp longs heavy).
Blue when state = LONG bias (perp shorts heavy).
Tint intensity scales with |z| (via hotZ).
Labels (optional): prints when bias flips.
Alerts (optional): “Enter SHORT/LONG bias” and “Exit bias”.
How to use it (playbook)
Attach & set symbols
Put the script on your chart.
Set Spot symbol and Perp symbol to the venue you trade (e.g., BINANCE:BTCUSDT + BINANCE:BTCUSDTPERP).
Read the bias
SHORT bias (red background): perp longs over-extended. Look for short entries if price is at resistance, σ-stretched, or your PA system agrees.
LONG bias (blue background): perp shorts over-extended. Look for long entries at support/σ-stretched down.
Entries
Use the bias flip as a context/confirm. Combine with your structure trigger (OB/level sweep, rejection wick, micro-break in market structure, etc.).
If useSigma=true, only trade when price is already ≥ upper band (shorts) or ≤ lower band (longs).
Exits
Bias auto-exits when |z| falls below exitZ.
You can also take profits at your levels or when the line fades back toward 0 while price mean-reverts to the middle band.
Tuning (what each knob does)
enterZ / exitZ (signal strictness + hysteresis)
Higher enterZ → fewer, cleaner signals (e.g., 1.8–2.2).
exitZ should be lower than enterZ (e.g., 0.6–1.0) to prevent flicker.
lenPrem (context window for z)
Larger (50–100) = steadier baseline, fewer signals.
Smaller (20–30) = more reactive, more signals.
smoothLen (EMA on z)
2–3 = snappier; 5–7 = smoother/laggier but cleaner.
useSigma, bbLen, bbK (price-stretch filter)
On filters chop. Try bbLen=100, bbK=1.0–1.5.
Off if you want more frequent signals or you already gate with your own σ/Keltner.
useHTF, htfTF, htfZmin (trend/confirmation)
Turn on to require higher-TF imbalance agreement (e.g., trading 1H → confirm with 4H htfTF=240, htfZmin≈0.6–1.0).
hotZ (visual intensity)
Lower (2.0–2.5) heats up faster; higher (4.0) is more subtle.
Ready-made presets
Conservative swing (fewer, higher-conviction):
enterZ=2.0, exitZ=1.0, lenPrem=60–80, smoothLen=5, useSigma=true, bbK=1.5, useHTF=true (240/0.8).
Balanced intraday (default feel):
enterZ=1.6–1.8, exitZ=0.8–1.0, lenPrem=50, smoothLen=3–4, useSigma=true, bbK=1.0–1.25, useHTF=false/true depending on trendiness.
Aggressive scalping (more signals):
enterZ=1.2–1.4, exitZ=0.6–0.8, lenPrem=20–30, smoothLen=2–3, useSigma=false, useHTF=false.
Practical tips
Don’t trade the line in isolation. Use it to time trades into your levels: VWAP bands, Monday high/low, prior POC/VAH/VAL, order blocks, etc.
Perp-led reversals often snap—be ready to scale out quickly back to mid-bands.
Venue matters. Keep spot & perp from the same exchange family to avoid cross-venue quirks.
Alerts: enable after you’ve tuned thresholds for your timeframe so you only get high-quality pings.
FuTech : Preferential Price📌 First Ever Indicator : FuTech : Preferential Price
💡 What if you could instantly know the Preferential Price — as if the company announced a preferential issue in today’s meeting surprisingly?
Normally, you’d be stuck with tedious valuation spreadsheets and SEBI formula checks 🧮📑…
✨ But not anymore — this tool does the hard work for you!
With just one click, it auto-calculates the Preferential Issue Floor Price under SEBI ICDR Regulations, 2018 - Regulation 164 (as amended), directly from your chart symbol.
✅ How it works ?
📅 Relevant Date = 30 days prior to either:
• Today’s date (default mode)
• Or your chosen EGM date (user input)
📊 For the Relevant Date, the indicator automatically computes:
• VWAP (90 trading days preceding Relevant Date)
• VWAP (10 trading days preceding Relevant Date)
🔎 As per SEBI Reg.164, the higher of these two VWAPs is selected as the Minimum Issue Price (Preferential Price).
💰 Price is neatly formatted in Indian style (e.g. ₹1,00,000).
✅ Key Features:
⚡ Auto-calculates from chart symbol — no manual entry.
🎛️ Option to input EGM date for accurate floor price compliance.
🎨 Fully customizable: text color, size, background, position.
🪄 Clean display → shows only the final Preferential Price (Reg.164).
📌 Usage:
This indicator is built for analysts, fund managers, and corporate professionals dealing with Preferential Allotment pricing compliance.
It ensures quick visibility of the floor price under SEBI ICDR rules, directly on your chart.
⚠️ Disclaimer:
📌 The calculated Preferential Price is an approximation based on SEBI ICDR Reg.164 methodology.
📊 Actual price determined by the company / merchant banker may vary slightly (±5) due to rounding, data source differences, or timing adjustments.
📅 Ensure to verify with official exchange data and SEBI filings before relying on these numbers.
📝 This tool is meant for analytical and educational purposes only, not a substitute for regulatory or professional advice.
Higher Lows, Lower Highs & Failures (updated)Use the Big triangles bullish or bearish, stop at the previous bull or bear indication, hold until the opposite indication. Can't guarantee anything. This is built for the 1m chart
VWAP + EMA50 + EMA200 (with optional Anchored VWAP)VWAP + EMA50 + EMA200 (with optional Anchored VWAP)
Analyst Targets ProbabilityThis indicator calculates the probability of the current stock price reaching or exceeding the analyst-provided high, average, and low price targets within a one-year time horizon. It utilizes a geometric Brownian motion (GBM) model, a standard approach in financial modeling that assumes log-normal price distribution with constant volatility.
### Key Features:
- **Analyst Targets**: Automatically pulls the high, average, and low one-year price targets from TradingView's syminfo data.
- **Risk-Free Rate**: Fetched from the 1-year US Treasury yield (symbol: TVC:US01Y). Defaults to 4% if unavailable.
- **Dividend Yield**: Uses trailing twelve-month (TTM) dividends per share (DPS) from financial data, divided by current price. Defaults to 0% if unavailable.
- **Volatility**: Computed as annualized historical volatility based on 252 trading days of daily log returns. Falls back to a 20-day period if insufficient data, or defaults to 30% if still unavailable.
- **Probability Calculation**: Employs the barrier hitting probability formula under GBM:
- Drift (μ) = risk-free rate - dividend yield - (volatility² / 2)
- The formula for probability P of hitting target H from current price S₀ over time T is:
P = Φ(d₊) + (H / S₀)^p ⋅ Φ(d₋) for H > S₀ (or adjusted for H < S₀)
Where l = ln(max(H, S₀)/min(H, S₀)), ν = drift, p = -2ν / σ², d₊ = (-l + νT) / (σ√T), d₋ = (-l - νT) / (σ√T), and Φ is the standard normal CDF (approximated using a polynomial method for accuracy).
- **Output Display**: A table in the top-right corner shows each target type, its value, and the estimated probability (as a percentage). "N/A" appears if data is unavailable or calculations cannot proceed (e.g., zero volatility).
### Assumptions and Limitations:
- Assumes constant volatility and drift, no transaction costs, and continuous trading (real markets may deviate due to jumps, news events, or changing conditions).
- Probabilities are model-based estimates and not guarantees; they represent the likelihood under risk-neutral measure.
- Best suited for stocks with available analyst targets and historical data; may default to assumptions for less-liquid symbols.
- No user inputs required—fully automated using TradingView's data sources.
This script is provided under the Mozilla Public License 2.0. For educational and informational purposes only; not financial advice. Test on your charts and consider backtesting for validation.
Turtle Trading System (Not Financial Advise)I am testing this script, not financial advise, but this is how it works, i hope;
How the Script Works
The script is a TradingView strategy that backtests and automates the Turtle rules. It uses two systems, a short-term S1 (20-day) and a long-term S2 (55-day), which you can select to test.
The strategy follows these core principles:
Trend Identification: The script uses Donchian Channels to identify breakouts. A new trend is signaled when the price breaks above the highest high or below the lowest low of a specified period.
Position Sizing: The script automatically calculates the size of each trade unit to ensure you risk a consistent percentage of your capital on every trade. This is based on the Average True Range (ATR), which measures volatility.
Pyramiding: When a trade moves in a profitable direction, the script will add more units at specific intervals to increase your position and ride the trend. This is how the Turtles made their big profits.
Win/Loss Condition:
A crucial rule is implemented for System 1 (S1): you only enter a trade if the previous S1 trade was a loss. If the last S1 trade was a win, you must wait for a signal from System 2 (S2).
How to Enter and Exit a Long Position
The script will automatically enter a long position when the price breaks above the highest high of the last 20 days (S1) or 55 days (S2), depending on which system you've selected.
Stop-Loss (SL): Your stop-loss is automatically placed at a distance of 2 * N (ATR) below the entry price. . This is a crucial risk management rule that limits your potential loss. The stop-loss is also plotted visually on the chart.
Exit Long: The script will close the long position automatically under two conditions:
Reversal: The price drops and closes below the lowest low of the last 10 days (S1) or 20 days (S2).
Stop-Loss Hit: The price hits your initial stop-loss, limiting your loss.
How to Enter and Exit a Short Position
Enter Short: The script will automatically enter a short position when the price breaks below the lowest low of the last 20 days (S1) or 55 days (S2).
Stop-Loss (SL): Your stop-loss is automatically placed at a distance of 2 * N (ATR) above the entry price. . This prevents large losses if the price moves against you.
Exit Short: The script will close the short position automatically under two conditions:
Reversal: The price rallies and closes above the highest high of the last 10 days (S1) or 20 days (S2).
Stop-Loss Hit: The price hits your initial stop-loss, limiting your loss.
Swing Oracle Stock// (\_/)
// ( •.•)
// (")_(")
📌 Swing Oracle Stock – Professional Cycle & Trend Detection Indicator
The Swing Oracle Stock is an advanced market analysis tool designed to highlight price cycles, trend shifts, and key trading zones with precision. It combines trendline dynamics, normalized oscillators, and multi-timeframe confirmation into a single comprehensive indicator.
🔑 Key Features
NDOS (Normalized Dynamic Oscillator System):
Measures price strength relative to recent highs and lows to detect overbought, neutral, and oversold zones.
Dynamic Trendline (EMA8 or SMA231):
Flexible source selection for adapting to different trading styles (scalping vs. swing).
Multi-Timeframe H1 Confirmation:
Adds higher-timeframe validation to improve signal reliability.
Automated Buy & Sell Signals:
Triggered only on significant crossovers above/below defined levels.
Weekly Cycles (7-day M5 projection):
Tracks recurring time-based market cycles to anticipate reversal points.
Intuitive Visualization:
Colored zones (high, low, neutral) for quick market context.
Optional background and candlestick coloring for better clarity.
Multi-Timeframe Cross Table:
Automatically compares SMA50 vs. EMA200 across multiple timeframes (1m → 4h), showing clear status:
⭐️⬆️ UP = bullish trend confirmation
💀⬇️ Drop = bearish trend confirmation
📊 Built-in Statistical Tools
Normalized difference between short and long EMA.
Projected normalized mean levels plotted directly on the main chart.
Dynamic analysis of price distance from SMA50 to capture market “waves.”
🎯 Use Cases
Spot trend reversals with multi-timeframe confirmation.
Identify powerful breakout and breakdown zones.
Time entries and exits based on trend + cycle confluence.
Enhance market timing for swing trades, scalps, or long-term positions.
⚡ Swing Oracle Stock brings together cycle detection, oscillator normalization, and multi-timeframe confirmation into one streamlined indicator for traders who want a professional edge.
Engulfing Candles Tarama// This Pine Scriptâ„¢ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © dipavcisi0007
//@version=5
indicator('Engulfing Candles Tarama', overlay=true)
longer = ta.sma(close, 50)
short = ta.sma(close, 20)
length1 = input(14)
price = close
length = input.int(20, minval=1)
ad = close == high and close == low or high == low ? 0 : (close - open) / (high - low) * volume
//ad = close==high and close==low or high==low ? 0 : ((2*close-low-high)/(high-low))*volume
mf = math.sum(ad, length) / math.sum(volume, length)
crsis = mf
openBarCurrent1 = open
closeBarCurrent1 = close
highBarCurrent1 = high
lowBarCurrent1 = low
volumeBarCurrent1 = volume
topvolumeBarCurrent1 = math.sum(volume , 50) / 50
BarOran1 = (closeBarCurrent1 - openBarCurrent1) / (highBarCurrent1 - lowBarCurrent1)
//BarOran1=(2*closeBarCurrent1-lowBarCurrent1-highBarCurrent1)/(highBarCurrent1-lowBarCurrent1)
openBarCurrent2 = open
closeBarCurrent2 = close
highBarCurrent2 = high
lowBarCurrent2 = low
volumeBarCurrent2 = volume
topvolumeBarCurrent2 = math.sum(volume , 50) / 50
BarOran2 = (closeBarCurrent2 - openBarCurrent2) / (highBarCurrent2 - lowBarCurrent2)
//BarOran2=(2*closeBarCurrent2-lowBarCurrent2-highBarCurrent2)/(highBarCurrent2-lowBarCurrent2)
openBarCurrent3 = open
closeBarCurrent3 = close
highBarCurrent3 = high
lowBarCurrent3 = low
volumeBarCurrent3 = volume
topvolumeBarCurrent3 = math.sum(volume , 50) / 50
BarOran3 = (closeBarCurrent3 - openBarCurrent3) / (highBarCurrent3 - lowBarCurrent3)
//BarOran3=(2*closeBarCurrent3-lowBarCurrent3-highBarCurrent3)/(highBarCurrent3-lowBarCurrent3)
cmi = 0.15
oran = 0.90
katsayi = 1.05
stoporan = 1
length2 = input(14)
price1 = close
vrsi = ta.rsi(price1, length2)
//If current bar open is less than equal to the previous bar close AND current bar open is less than previous bar open AND current bar close is greater than previous bar open THEN True
bullishEngulfing1 = BarOran1 > oran and BarOran1 * volumeBarCurrent1 > topvolumeBarCurrent1 * katsayi and crsis > cmi and close > highBarCurrent1
//If current bar open is greater than equal to previous bar close AND current bar open is greater than previous bar open AND current bar close is less than previous bar open THEN True
bullishEngulfing2 = BarOran2 > oran and BarOran2 * volumeBarCurrent2 > topvolumeBarCurrent2 * katsayi and crsis > cmi and close > highBarCurrent2
//If current bar open is greater than equal to previous bar close AND current bar open is greater than previous bar open AND current bar close is less than previous bar open THEN True
bullishEngulfing3 = BarOran3 > oran and BarOran3 * volumeBarCurrent3 > topvolumeBarCurrent3 * katsayi and crsis > cmi and close > highBarCurrent3
var K1 = 0.0
res = input.timeframe(title='Time Frame', defval='D')
if bullishEngulfing1
K1 := lowBarCurrent1
else if bullishEngulfing2
K1 := lowBarCurrent2
else if bullishEngulfing3
K1 := lowBarCurrent3
plot(K1, linewidth=2, color=color.new(color.purple, 0), title='TSL')
//bullishEngulfing/bearishEngulfing return a value of 1 or 0; if 1 then plot on chart, if 0 then don't plot
plotshape(bullishEngulfing1 or bullishEngulfing2 or bullishEngulfing3, style=shape.triangleup, location=location.belowbar, color=color.new(#43A047, 0), size=size.tiny)
////////////////////////
grupSec = input.string(defval='1', options= , group='Taraması yapılacak 40\'arlı gruplardan birini seçin', title='Grup seç')
per = input.timeframe(defval='', title='PERİYOT',group = "Tarama yapmak istediğiniz periyotu seçin")
func() =>
cond = bullishEngulfing1 or bullishEngulfing2 or bullishEngulfing3
//GRUP VE TARANACAK HİSSE SAYISINI AYNI ÅEKİLDE DİLEDİÄİNİZ GİBİ ARTIRABİLİRSİNİZ.
a01 = grupSec == '1' ? 'BIST:A1CAP' : grupSec == '2' ? 'BIST:ANSGR' : grupSec == '3' ? 'BIST:BEYAZ' : grupSec == '4' ? 'BIST:CEMZY' : grupSec == '5' ? 'BIST:DURKN' : grupSec == '6' ? 'BIST:EUYO' : grupSec == '7' ? 'BIST:HALKB' : grupSec == '8' ? 'BIST:ISGYO' : grupSec == '9' ? 'BIST:KOPOL' : grupSec == '10' ? 'BIST:MARKA' : grupSec == '11' ? 'BIST:ONCSM' : grupSec == '12' ? 'BIST:POLTK' : grupSec == '13' ? 'BIST:SISE' : grupSec == '14' ? 'BIST:TOASO' : grupSec == '15' ? 'BIST:YBTAS' : na
a02 = grupSec == '1' ? 'BIST:ACSEL' : grupSec == '2' ? 'BIST:ARASE' : grupSec == '3' ? 'BIST:BFREN' : grupSec == '4' ? 'BIST:CEOEM' : grupSec == '5' ? 'BIST:DYOBY' : grupSec == '6' ? 'BIST:EYGYO' : grupSec == '7' ? 'BIST:HATEK' : grupSec == '8' ? 'BIST:ISKPL' : grupSec == '9' ? 'BIST:KORDS' : grupSec == '10' ? 'BIST:MARTI' : grupSec == '11' ? 'BIST:ONRYT' : grupSec == '12' ? 'BIST:PRDGS' : grupSec == '13' ? 'BIST:SKBNK' : grupSec == '14' ? 'BIST:TRCAS' : grupSec == '15' ? 'BIST:YEOTK' : na
a03 = grupSec == '1' ? 'BIST:ADEL' : grupSec == '2' ? 'BIST:ARCLK' : grupSec == '3' ? 'BIST:BIENY' : grupSec == '4' ? 'BIST:CIMSA' : grupSec == '5' ? 'BIST:DZGYO' : grupSec == '6' ? 'BIST:FADE' : grupSec == '7' ? 'BIST:HATSN' : grupSec == '8' ? 'BIST:ISKUR' : grupSec == '9' ? 'BIST:KOTON' : grupSec == '10' ? 'BIST:MAVI' : grupSec == '11' ? 'BIST:ORCAY' : grupSec == '12' ? 'BIST:PRKAB' : grupSec == '13' ? 'BIST:SKTAS' : grupSec == '14' ? 'BIST:TRGYO' : grupSec == '15' ? 'BIST:YESIL' : na
a04 = grupSec == '1' ? 'BIST:ADESE' : grupSec == '2' ? 'BIST:ARDYZ' : grupSec == '3' ? 'BIST:BIGCH' : grupSec == '4' ? 'BIST:CLEBI' : grupSec == '5' ? 'BIST:EBEBK' : grupSec == '6' ? 'BIST:FENER' : grupSec == '7' ? 'BIST:HDFGS' : grupSec == '8' ? 'BIST:ISMEN' : grupSec == '9' ? 'BIST:KOZAA' : grupSec == '10' ? 'BIST:MEDTR' : grupSec == '11' ? 'BIST:ORGE' : grupSec == '12' ? 'BIST:PRKME' : grupSec == '13' ? 'BIST:SKYLP' : grupSec == '14' ? 'BIST:TRILC' : grupSec == '15' ? 'BIST:YGGYO' : na
a05 = grupSec == '1' ? 'BIST:ADGYO' : grupSec == '2' ? 'BIST:ARENA' : grupSec == '3' ? 'BIST:BIMAS' : grupSec == '4' ? 'BIST:CMBTN' : grupSec == '5' ? 'BIST:ECILC' : grupSec == '6' ? 'BIST:FLAP' : grupSec == '7' ? 'BIST:HEDEF' : grupSec == '8' ? 'BIST:ISSEN' : grupSec == '9' ? 'BIST:KOZAL' : grupSec == '10' ? 'BIST:MEGAP' : grupSec == '11' ? 'BIST:ORMA' : grupSec == '12' ? 'BIST:PRZMA' : grupSec == '13' ? 'BIST:SKYMD' : grupSec == '14' ? 'BIST:TSGYO' : grupSec == '15' ? 'BIST:YGYO' : na
a06 = grupSec == '1' ? 'BIST:AEFES' : grupSec == '2' ? 'BIST:ARSAN' : grupSec == '3' ? 'BIST:BINBN' : grupSec == '4' ? 'BIST:CMENT' : grupSec == '5' ? 'BIST:ECZYT' : grupSec == '6' ? 'BIST:FMIZP' : grupSec == '7' ? 'BIST:HEKTS' : grupSec == '8' ? 'BIST:ISYAT' : grupSec == '9' ? 'BIST:KRDMA' : grupSec == '10' ? 'BIST:MEGMT' : grupSec == '11' ? 'BIST:OSMEN' : grupSec == '12' ? 'BIST:PSDTC' : grupSec == '13' ? 'BIST:SMART' : grupSec == '14' ? 'BIST:TSKB' : grupSec == '15' ? 'BIST:YIGIT' : na
a07 = grupSec == '1' ? 'BIST:AFYON' : grupSec == '2' ? 'BIST:ARTMS' : grupSec == '3' ? 'BIST:BINHO' : grupSec == '4' ? 'BIST:CONSE' : grupSec == '5' ? 'BIST:EDATA' : grupSec == '6' ? 'BIST:FONET' : grupSec == '7' ? 'BIST:HKTM' : grupSec == '8' ? 'BIST:IZENR' : grupSec == '9' ? 'BIST:KRDMB' : grupSec == '10' ? 'BIST:MEKAG' : grupSec == '11' ? 'BIST:OSTIM' : grupSec == '12' ? 'BIST:PSGYO' : grupSec == '13' ? 'BIST:SMRTG' : grupSec == '14' ? 'BIST:TSPOR' : grupSec == '15' ? 'BIST:YKBNK' : na
a08 = grupSec == '1' ? 'BIST:AGESA' : grupSec == '2' ? 'BIST:ARZUM' : grupSec == '3' ? 'BIST:BIOEN' : grupSec == '4' ? 'BIST:COSMO' : grupSec == '5' ? 'BIST:EDIP' : grupSec == '6' ? 'BIST:FORMT' : grupSec == '7' ? 'BIST:HLGYO' : grupSec == '8' ? 'BIST:IZFAS' : grupSec == '9' ? 'BIST:KRDMD' : grupSec == '10' ? 'BIST:MEPET' : grupSec == '11' ? 'BIST:OTKAR' : grupSec == '12' ? 'BIST:QNBFK' : grupSec == '13' ? 'BIST:SNGYO' : grupSec == '14' ? 'BIST:TTKOM' : grupSec == '15' ? 'BIST:YKSLN' : na
a09 = grupSec == '1' ? 'BIST:AGHOL' : grupSec == '2' ? 'BIST:ASELS' : grupSec == '3' ? 'BIST:BIZIM' : grupSec == '4' ? 'BIST:CRDFA' : grupSec == '5' ? 'BIST:EFORC' : grupSec == '6' ? 'BIST:FORTE' : grupSec == '7' ? 'BIST:HOROZ' : grupSec == '8' ? 'BIST:IZINV' : grupSec == '9' ? 'BIST:KRGYO' : grupSec == '10' ? 'BIST:MERCN' : grupSec == '11' ? 'BIST:OTTO' : grupSec == '12' ? 'BIST:QNBTR' : grupSec == '13' ? 'BIST:SNICA' : grupSec == '14' ? 'BIST:TTRAK' : grupSec == '15' ? 'BIST:YONGA' : na
a10 = grupSec == '1' ? 'BIST:AGROT' : grupSec == '2' ? 'BIST:ASGYO' : grupSec == '3' ? 'BIST:BJKAS' : grupSec == '4' ? 'BIST:CRFSA' : grupSec == '5' ? 'BIST:EGEEN' : grupSec == '6' ? 'BIST:FRIGO' : grupSec == '7' ? 'BIST:HRKET' : grupSec == '8' ? 'BIST:IZMDC' : grupSec == '9' ? 'BIST:KRONT' : grupSec == '10' ? 'BIST:MERIT' : grupSec == '11' ? 'BIST:OYAKC' : grupSec == '12' ? 'BIST:QUAGR' : grupSec == '13' ? 'BIST:SNKRN' : grupSec == '14' ? 'BIST:TUCLK' : grupSec == '15' ? 'BIST:YUNSA' : na
a11 = grupSec == '1' ? 'BIST:AGYO' : grupSec == '2' ? 'BIST:ASTOR' : grupSec == '3' ? 'BIST:BLCYT' : grupSec == '4' ? 'BIST:CUSAN' : grupSec == '5' ? 'BIST:EGEPO' : grupSec == '6' ? 'BIST:FROTO' : grupSec == '7' ? 'BIST:HTTBT' : grupSec == '8' ? 'BIST:JANTS' : grupSec == '9' ? 'BIST:KRPLS' : grupSec == '10' ? 'BIST:MERKO' : grupSec == '11' ? 'BIST:OYAYO' : grupSec == '12' ? 'BIST:RALYH' : grupSec == '13' ? 'BIST:SNPAM' : grupSec == '14' ? 'BIST:TUKAS' : grupSec == '15' ? 'BIST:YYAPI' : na
a12 = grupSec == '1' ? 'BIST:AHGAZ' : grupSec == '2' ? 'BIST:ASUZU' : grupSec == '3' ? 'BIST:BMSCH' : grupSec == '4' ? 'BIST:CVKMD' : grupSec == '5' ? 'BIST:EGGUB' : grupSec == '6' ? 'BIST:FZLGY' : grupSec == '7' ? 'BIST:HUBVC' : grupSec == '8' ? 'BIST:KAPLM' : grupSec == '9' ? 'BIST:KRSTL' : grupSec == '10' ? 'BIST:METRO' : grupSec == '11' ? 'BIST:OYLUM' : grupSec == '12' ? 'BIST:RAYSG' : grupSec == '13' ? 'BIST:SODSN' : grupSec == '14' ? 'BIST:TUPRS' : grupSec == '15' ? 'BIST:YYLGD' : na
a13 = grupSec == '1' ? 'BIST:AHSGY' : grupSec == '2' ? 'BIST:ATAGY' : grupSec == '3' ? 'BIST:BMSTL' : grupSec == '4' ? 'BIST:CWENE' : grupSec == '5' ? 'BIST:EGPRO' : grupSec == '6' ? 'BIST:GARAN' : grupSec == '7' ? 'BIST:HUNER' : grupSec == '8' ? 'BIST:KAREL' : grupSec == '9' ? 'BIST:KRTEK' : grupSec == '10' ? 'BIST:METUR' : grupSec == '11' ? 'BIST:OYYAT' : grupSec == '12' ? 'BIST:REEDR' : grupSec == '13' ? 'BIST:SOKE' : grupSec == '14' ? 'BIST:TUREX' : grupSec == '15' ? 'BIST:ZEDUR' : na
a14 = grupSec == '1' ? 'BIST:AKBNK' : grupSec == '2' ? 'BIST:ATAKP' : grupSec == '3' ? 'BIST:BNTAS' : grupSec == '4' ? 'BIST:DAGHL' : grupSec == '5' ? 'BIST:EGSER' : grupSec == '6' ? 'BIST:GARFA' : grupSec == '7' ? 'BIST:HURGZ' : grupSec == '8' ? 'BIST:KARSN' : grupSec == '9' ? 'BIST:KRVGD' : grupSec == '10' ? 'BIST:MGROS' : grupSec == '11' ? 'BIST:OZATD' : grupSec == '12' ? 'BIST:RGYAS' : grupSec == '13' ? 'BIST:SOKM' : grupSec == '14' ? 'BIST:TURGG' : grupSec == '15' ? 'BIST:ZOREN' : na
a15 = grupSec == '1' ? 'BIST:AKCNS' : grupSec == '2' ? 'BIST:ATATP' : grupSec == '3' ? 'BIST:BOBET' : grupSec == '4' ? 'BIST:DAGI' : grupSec == '5' ? 'BIST:EKGYO' : grupSec == '6' ? 'BIST:GEDIK' : grupSec == '7' ? 'BIST:ICBCT' : grupSec == '8' ? 'BIST:KARTN' : grupSec == '9' ? 'BIST:KSTUR' : grupSec == '10' ? 'BIST:MHRGY' : grupSec == '11' ? 'BIST:OZGYO' : grupSec == '12' ? 'BIST:RNPOL' : grupSec == '13' ? 'BIST:SONME' : grupSec == '14' ? 'BIST:TURSG' : grupSec == '15' ? 'BIST:ZRGYO' : na
a16 = grupSec == '1' ? 'BIST:AKENR' : grupSec == '2' ? 'BIST:ATEKS' : grupSec == '3' ? 'BIST:BORLS' : grupSec == '4' ? 'BIST:DAPGM' : grupSec == '5' ? 'BIST:EKIZ' : grupSec == '6' ? 'BIST:GEDZA' : grupSec == '7' ? 'BIST:ICUGS' : grupSec == '8' ? 'BIST:KARYE' : grupSec == '9' ? 'BIST:KTLEV' : grupSec == '10' ? 'BIST:MIATK' : grupSec == '11' ? 'BIST:OZKGY' : grupSec == '12' ? 'BIST:RODRG' : grupSec == '13' ? 'BIST:SRVGY' : grupSec == '14' ? 'BIST:UFUK' : grupSec == '15' ? 'BIST:AKFIS' :na
a17 = grupSec == '1' ? 'BIST:AKFGY' : grupSec == '2' ? 'BIST:ATLAS' : grupSec == '3' ? 'BIST:BORSK' : grupSec == '4' ? 'BIST:DARDL' : grupSec == '5' ? 'BIST:EKOS' : grupSec == '6' ? 'BIST:GENIL' : grupSec == '7' ? 'BIST:IDGYO' : grupSec == '8' ? 'BIST:KATMR' : grupSec == '9' ? 'BIST:KTSKR' : grupSec == '10' ? 'BIST:MMCAS' : grupSec == '11' ? 'BIST:OZRDN' : grupSec == '12' ? 'BIST:ROYAL' : grupSec == '13' ? 'BIST:SUMAS' : grupSec == '14' ? 'BIST:ULAS' : grupSec == '15' ? 'BIST:ARMGD': na
a18 = grupSec == '1' ? 'BIST:AKFYE' : grupSec == '2' ? 'BIST:ATSYH' : grupSec == '3' ? 'BIST:BOSSA' : grupSec == '4' ? 'BIST:DCTTR' : grupSec == '5' ? 'BIST:EKSUN' : grupSec == '6' ? 'BIST:GENTS' : grupSec == '7' ? 'BIST:IEYHO' : grupSec == '8' ? 'BIST:KAYSE' : grupSec == '9' ? 'BIST:KUTPO' : grupSec == '10' ? 'BIST:MNDRS' : grupSec == '11' ? 'BIST:OZSUB' : grupSec == '12' ? 'BIST:RTALB' : grupSec == '13' ? 'BIST:SUNTK' : grupSec == '14' ? 'BIST:ULKER' : grupSec == '15' ? 'BIST:BALSU': na
a19 = grupSec == '1' ? 'BIST:AKGRT' : grupSec == '2' ? 'BIST:AVGYO' : grupSec == '3' ? 'BIST:BRISA' : grupSec == '4' ? 'BIST:DENGE' : grupSec == '5' ? 'BIST:ELITE' : grupSec == '6' ? 'BIST:GEREL' : grupSec == '7' ? 'BIST:IHAAS' : grupSec == '8' ? 'BIST:KBORU' : grupSec == '9' ? 'BIST:KUVVA' : grupSec == '10' ? 'BIST:MNDTR' : grupSec == '11' ? 'BIST:OZYSR' : grupSec == '12' ? 'BIST:RUBNS' : grupSec == '13' ? 'BIST:SURGY' : grupSec == '14' ? 'BIST:ULUFA' : grupSec == '15' ? 'BIST:BESLR':na
a20 = grupSec == '1' ? 'BIST:AKMGY' : grupSec == '2' ? 'BIST:AVHOL' : grupSec == '3' ? 'BIST:BRKO' : grupSec == '4' ? 'BIST:DERHL' : grupSec == '5' ? 'BIST:EMKEL' : grupSec == '6' ? 'BIST:GESAN' : grupSec == '7' ? 'BIST:IHEVA' : grupSec == '8' ? 'BIST:KCAER' : grupSec == '9' ? 'BIST:KUYAS' : grupSec == '10' ? 'BIST:MOBTL' : grupSec == '11' ? 'BIST:PAGYO' : grupSec == '12' ? 'BIST:RYGYO' : grupSec == '13' ? 'BIST:SUWEN' : grupSec == '14' ? 'BIST:ULUSE' : grupSec == '15' ? 'BIST:DSTKF': na
a21 = grupSec == '1' ? 'BIST:AKSA' : grupSec == '2' ? 'BIST:AVOD' : grupSec == '3' ? 'BIST:BRKSN' : grupSec == '4' ? 'BIST:DERIM' : grupSec == '5' ? 'BIST:EMNIS' : grupSec == '6' ? 'BIST:GIPTA' : grupSec == '7' ? 'BIST:IHGZT' : grupSec == '8' ? 'BIST:KCHOL' : grupSec == '9' ? 'BIST:KZBGY' : grupSec == '10' ? 'BIST:MOGAN' : grupSec == '11' ? 'BIST:PAMEL' : grupSec == '12' ? 'BIST:RYSAS' : grupSec == '13' ? 'BIST:TABGD' : grupSec == '14' ? 'BIST:ULUUN' : grupSec == '15' ? 'BIST:GLRMK': na
a22 = grupSec == '1' ? 'BIST:AKSEN' : grupSec == '2' ? 'BIST:AVPGY' : grupSec == '3' ? 'BIST:BRKVY' : grupSec == '4' ? 'BIST:DESA' : grupSec == '5' ? 'BIST:ENERY' : grupSec == '6' ? 'BIST:GLBMD' : grupSec == '7' ? 'BIST:IHLAS' : grupSec == '8' ? 'BIST:KENT' : grupSec == '9' ? 'BIST:KZGYO' : grupSec == '10' ? 'BIST:MPARK' : grupSec == '11' ? 'BIST:PAPIL' : grupSec == '12' ? 'BIST:SAFKR' : grupSec == '13' ? 'BIST:TARKM' : grupSec == '14' ? 'BIST:UMPAS' : grupSec == '15' ? 'BIST:KLYPV': na
a23 = grupSec == '1' ? 'BIST:AKSGY' : grupSec == '2' ? 'BIST:AVTUR' : grupSec == '3' ? 'BIST:BRLSM' : grupSec == '4' ? 'BIST:DESPC' : grupSec == '5' ? 'BIST:ENJSA' : grupSec == '6' ? 'BIST:GLCVY' : grupSec == '7' ? 'BIST:IHLGM' : grupSec == '8' ? 'BIST:KERVN' : grupSec == '9' ? 'BIST:LIDER' : grupSec == '10' ? 'BIST:MRGYO' : grupSec == '11' ? 'BIST:PARSN' : grupSec == '12' ? 'BIST:SAHOL' : grupSec == '13' ? 'BIST:TATEN' : grupSec == '14' ? 'BIST:UNLU' :grupSec == '15' ? 'BIST:MOPAS': na
a24 = grupSec == '1' ? 'BIST:AKSUE' : grupSec == '2' ? 'BIST:AYCES' : grupSec == '3' ? 'BIST:BRMEN' : grupSec == '4' ? 'BIST:DEVA' : grupSec == '5' ? 'BIST:ENKAI' : grupSec == '6' ? 'BIST:GLRYH' : grupSec == '7' ? 'BIST:IHYAY' : grupSec == '8' ? 'BIST:LIDFA' : grupSec == '10' ? 'BIST:MRSHL' : grupSec == '11' ? 'BIST:PASEU' : grupSec == '12' ? 'BIST:SAMAT' : grupSec == '13' ? 'BIST:TATGD' : grupSec == '14' ? 'BIST:USAK' : grupSec == '15' ? 'BIST:A1YEN': na
a25 = grupSec == '1' ? 'BIST:AKYHO' : grupSec == '2' ? 'BIST:AYDEM' : grupSec == '3' ? 'BIST:BRSAN' : grupSec == '4' ? 'BIST:DGATE' : grupSec == '5' ? 'BIST:ENSRI' : grupSec == '6' ? 'BIST:GLYHO' : grupSec == '7' ? 'BIST:IMASM' : grupSec == '8' ? 'BIST:KFEIN' : grupSec == '9' ? 'BIST:LILAK' : grupSec == '10' ? 'BIST:MSGYO' : grupSec == '11' ? 'BIST:PATEK' : grupSec == '12' ? 'BIST:SANEL' : grupSec == '13' ? 'BIST:TAVHL' : grupSec == '14' ? 'BIST:VAKBN' : grupSec == '15' ? 'BIST:BIGEN': na
a26 = grupSec == '1' ? 'BIST:ALARK' : grupSec == '2' ? 'BIST:AYEN' : grupSec == '3' ? 'BIST:BRYAT' : grupSec == '4' ? 'BIST:DGGYO' : grupSec == '5' ? 'BIST:ENTRA' : grupSec == '6' ? 'BIST:GMTAS' : grupSec == '7' ? 'BIST:INDES' : grupSec == '8' ? 'BIST:KGYO' : grupSec == '9' ? 'BIST:LINK' : grupSec == '10' ? 'BIST:MTRKS' : grupSec == '11' ? 'BIST:PCILT' : grupSec == '12' ? 'BIST:SANFM' : grupSec == '13' ? 'BIST:TBORG' : grupSec == '14' ? 'BIST:VAKFN' : grupSec == '15' ? 'BIST:BULGS': na
a27 = grupSec == '1' ? 'BIST:ALBRK' : grupSec == '2' ? 'BIST:AYES' : grupSec == '3' ? 'BIST:BSOKE' : grupSec == '4' ? 'BIST:DGNMO' : grupSec == '5' ? 'BIST:EPLAS' : grupSec == '6' ? 'BIST:GOKNR' : grupSec == '7' ? 'BIST:INFO' : grupSec == '8' ? 'BIST:KIMMR' : grupSec == '9' ? 'BIST:LKMNH' : grupSec == '10' ? 'BIST:MTRYO' : grupSec == '11' ? 'BIST:PEHOL' : grupSec == '12' ? 'BIST:SANKO' : grupSec == '13' ? 'BIST:TCELL' : grupSec == '14' ? 'BIST:VAKKO' : grupSec == '15' ? 'BIST:CGCAM': na
a28 = grupSec == '1' ? 'BIST:ALCAR' : grupSec == '2' ? 'BIST:AYGAZ' : grupSec == '3' ? 'BIST:BTCIM' : grupSec == '4' ? 'BIST:DIRIT' : grupSec == '5' ? 'BIST:ERBOS' : grupSec == '6' ? 'BIST:GOLTS' : grupSec == '7' ? 'BIST:INGRM' : grupSec == '8' ? 'BIST:KLGYO' : grupSec == '9' ? 'BIST:LMKDC' : grupSec == '10' ? 'BIST:MZHLD' : grupSec == '11' ? 'BIST:PEKGY' : grupSec == '12' ? 'BIST:SARKY' : grupSec == '13' ? 'BIST:TCKRC' : grupSec == '14' ? 'BIST:VANGD' : grupSec == '15' ? 'BIST:EGEGY': na
a29 = grupSec == '1' ? 'BIST:ALCTL' : grupSec == '2' ? 'BIST:AZTEK' : grupSec == '3' ? 'BIST:BUCIM' : grupSec == '4' ? 'BIST:DITAS' : grupSec == '5' ? 'BIST:ERCB' : grupSec == '6' ? 'BIST:GOODY' : grupSec == '7' ? 'BIST:INTEK' : grupSec == '8' ? 'BIST:KLKIM' : grupSec == '9' ? 'BIST:LOGO' : grupSec == '10' ? 'BIST:NATEN' : grupSec == '11' ? 'BIST:PENGD' : grupSec == '12' ? 'BIST:SASA' : grupSec == '13' ? 'BIST:TDGYO' : grupSec == '14' ? 'BIST:VBTYZ' : grupSec == '15' ? 'BIST:ENDAE':na
a30 = grupSec == '1' ? 'BIST:ALFAS' : grupSec == '2' ? 'BIST:BAGFS' : grupSec == '3' ? 'BIST:BURCE' : grupSec == '4' ? 'BIST:DMRGD' : grupSec == '5' ? 'BIST:EREGL' : grupSec == '6' ? 'BIST:GOZDE' : grupSec == '7' ? 'BIST:INTEM' : grupSec == '8' ? 'BIST:KLMSN' : grupSec == '9' ? 'BIST:LRSHO' : grupSec == '10' ? 'BIST:NETAS' : grupSec == '11' ? 'BIST:PENTA' : grupSec == '12' ? 'BIST:SAYAS' : grupSec == '13' ? 'BIST:TEKTU' : grupSec == '14' ? 'BIST:VERTU' : grupSec == '15' ? 'BIST:RUZYE': na
a31 = grupSec == '1' ? 'BIST:ALGYO' : grupSec == '2' ? 'BIST:BAHKM' : grupSec == '3' ? 'BIST:BURVA' : grupSec == '4' ? 'BIST:DMSAS' : grupSec == '5' ? 'BIST:ERSU' : grupSec == '6' ? 'BIST:GRNYO' : grupSec == '7' ? 'BIST:INVEO' : grupSec == '8' ? 'BIST:KLNMA' : grupSec == '9' ? 'BIST:LUKSK' : grupSec == '10' ? 'BIST:NIBAS' : grupSec == '11' ? 'BIST:PETKM' : grupSec == '12' ? 'BIST:SDTTR' : grupSec == '13' ? 'BIST:TERA' : grupSec == '14' ? 'BIST:VERUS' : grupSec == '15' ? 'BIST:SERNT': na
a32 = grupSec == '1' ? 'BIST:ALKA' : grupSec == '2' ? 'BIST:BAKAB' : grupSec == '3' ? 'BIST:BVSAN' : grupSec == '4' ? 'BIST:DNISI' : grupSec == '5' ? 'BIST:ESCAR' : grupSec == '6' ? 'BIST:GRSEL' : grupSec == '7' ? 'BIST:INVES' : grupSec == '8' ? 'BIST:KLRHO' : grupSec == '9' ? 'BIST:LYDHO' : grupSec == '10' ? 'BIST:NTGAZ' : grupSec == '11' ? 'BIST:PETUN' : grupSec == '12' ? 'BIST:SEGMN' : grupSec == '13' ? 'BIST:TEZOL' : grupSec == '14' ? 'BIST:VESBE' : grupSec == '15' ? 'BIST:SMRVA':na
a33 = grupSec == '1' ? 'BIST:ALKIM' : grupSec == '2' ? 'BIST:BALAT' : grupSec == '3' ? 'BIST:BYDNR' : grupSec == '4' ? 'BIST:DOAS' : grupSec == '5' ? 'BIST:ESCOM' : grupSec == '6' ? 'BIST:GRTHO' : grupSec == '7' ? 'BIST:IPEKE' : grupSec == '8' ? 'BIST:KLSER' : grupSec == '9' ? 'BIST:LYDYE' : grupSec == '10' ? 'BIST:NTHOL' : grupSec == '11' ? 'BIST:PGSUS' : grupSec == '12' ? 'BIST:SEGYO' : grupSec == '13' ? 'BIST:TGSAS' : grupSec == '14' ? 'BIST:VESTL' : grupSec == '15' ? 'BIST:VSNMD':na
a34 = grupSec == '1' ? 'BIST:ALKLC' : grupSec == '2' ? 'BIST:BANVT' : grupSec == '3' ? 'BIST:CANTE' : grupSec == '4' ? 'BIST:DOBUR' : grupSec == '5' ? 'BIST:ESEN' : grupSec == '6' ? 'BIST:GSDDE' : grupSec == '7' ? 'BIST:ISATR' : grupSec == '8' ? 'BIST:KLSYN' : grupSec == '9' ? 'BIST:MAALT' : grupSec == '10' ? 'BIST:NUGYO' : grupSec == '11' ? 'BIST:PINSU' : grupSec == '12' ? 'BIST:SEKFK' : grupSec == '13' ? 'BIST:THYAO' : grupSec == '14' ? 'BIST:VKFYO' : na
a35 = grupSec == '1' ? 'BIST:ALMAD' : grupSec == '2' ? 'BIST:BARMA' : grupSec == '3' ? 'BIST:CASA' : grupSec == '4' ? 'BIST:DOCO' : grupSec == '5' ? 'BIST:ETILR' : grupSec == '6' ? 'BIST:GSDHO' : grupSec == '7' ? 'BIST:ISBIR' : grupSec == '8' ? 'BIST:KMPUR' : grupSec == '9' ? 'BIST:MACKO' : grupSec == '10' ? 'BIST:NUHCM' : grupSec == '11' ? 'BIST:PKART' : grupSec == '12' ? 'BIST:SEKUR' : grupSec == '13' ? 'BIST:TKFEN' : grupSec == '14' ? 'BIST:VKGYO' : na
a36 = grupSec == '1' ? 'BIST:ALTNY' : grupSec == '2' ? 'BIST:BASCM' : grupSec == '3' ? 'BIST:CATES' : grupSec == '4' ? 'BIST:DOFER' : grupSec == '5' ? 'BIST:ETYAT' : grupSec == '6' ? 'BIST:GSRAY' : grupSec == '7' ? 'BIST:ISBTR' : grupSec == '8' ? 'BIST:KNFRT' : grupSec == '9' ? 'BIST:MAGEN' : grupSec == '10' ? 'BIST:OBAMS' : grupSec == '11' ? 'BIST:PKENT' : grupSec == '12' ? 'BIST:SELEC' : grupSec == '13' ? 'BIST:TKNSA' : grupSec == '14' ? 'BIST:VKING' : na
a37 = grupSec == '1' ? 'BIST:ALVES' : grupSec == '2' ? 'BIST:BASGZ' : grupSec == '3' ? 'BIST:CCOLA' : grupSec == '4' ? 'BIST:DOGUB' : grupSec == '5' ? 'BIST:EUHOL' : grupSec == '6' ? 'BIST:GUBRF' : grupSec == '7' ? 'BIST:ISCTR' : grupSec == '8' ? 'BIST:KOCMT' : grupSec == '9' ? 'BIST:MAKIM' : grupSec == '10' ? 'BIST:OBASE' : grupSec == '11' ? 'BIST:PLTUR' : grupSec == '12' ? 'BIST:SELGD' : grupSec == '13' ? 'BIST:TLMAN' : grupSec == '14' ? 'BIST:VRGYO' : na
a38 = grupSec == '1' ? 'BIST:ANELE' : grupSec == '2' ? 'BIST:BAYRK' : grupSec == '3' ? 'BIST:CELHA' : grupSec == '4' ? 'BIST:DOHOL' : grupSec == '5' ? 'BIST:EUKYO' : grupSec == '6' ? 'BIST:GUNDG' : grupSec == '7' ? 'BIST:ISDMR' : grupSec == '8' ? 'BIST:KONKA' : grupSec == '9' ? 'BIST:MAKTK' : grupSec == '10' ? 'BIST:ODAS' : grupSec == '11' ? 'BIST:PNLSN' : grupSec == '12' ? 'BIST:SELVA' : grupSec == '13' ? 'BIST:TMPOL' : grupSec == '14' ? 'BIST:YAPRK' : na
a39 = grupSec == '1' ? 'BIST:ANGEN' : grupSec == '2' ? 'BIST:BEGYO' : grupSec == '3' ? 'BIST:CEMAS' : grupSec == '4' ? 'BIST:DOKTA' : grupSec == '5' ? 'BIST:EUPWR' : grupSec == '6' ? 'BIST:GWIND' : grupSec == '7' ? 'BIST:ISFIN' : grupSec == '8' ? 'BIST:KONTR' : grupSec == '9' ? 'BIST:MANAS' : grupSec == '10' ? 'BIST:ODINE' : grupSec == '11' ? 'BIST:PNSUT' : grupSec == '12' ? 'BIST:SEYKM' : grupSec == '13' ? 'BIST:TMSN' : grupSec == '14' ? 'BIST:YATAS' : na
a40 = grupSec == '1' ? 'BIST:ANHYT' : grupSec == '2' ? 'BIST:BERA' : grupSec == '3' ? 'BIST:CEMTS' : grupSec == '4' ? 'BIST:DURDO' : grupSec == '5' ? 'BIST:EUREN' : grupSec == '6' ? 'BIST:GZNMI' : grupSec == '7' ? 'BIST:ISGSY' : grupSec == '8' ? 'BIST:KONYA' : grupSec == '9' ? 'BIST:MARBL' : grupSec == '10' ? 'BIST:OFSYM' : grupSec == '11' ? 'BIST:POLHO' : grupSec == '12' ? 'BIST:SILVR' : grupSec == '13' ? 'BIST:TNZTP' : grupSec == '14' ? 'BIST:YAYLA' : na
= request.security(a01, per, func())
= request.security(a02, per, func())
= request.security(a03, per, func())
= request.security(a04, per, func())
= request.security(a05, per, func())
= request.security(a06, per, func())
= request.security(a07, per, func())
= request.security(a08, per, func())
= request.security(a09, per, func())
= request.security(a10, per, func())
= request.security(a11, per, func())
= request.security(a12, per, func())
= request.security(a13, per, func())
= request.security(a14, per, func())
= request.security(a15, per, func())
= request.security(a16, per, func())
= request.security(a17, per, func())
= request.security(a18, per, func())
= request.security(a19, per, func())
= request.security(a20, per, func())
= request.security(a21, per, func())
= request.security(a22, per, func())
= request.security(a23, per, func())
= request.security(a24, per, func())
= request.security(a25, per, func())
= request.security(a26, per, func())
= request.security(a27, per, func())
= request.security(a28, per, func())
= request.security(a29, per, func())
= request.security(a30, per, func())
= request.security(a31, per, func())
= request.security(a32, per, func())
= request.security(a33, per, func())
= request.security(a34, per, func())
= request.security(a35, per, func())
= request.security(a36, per, func())
= request.security(a37, per, func())
= request.security(a38, per, func())
= request.security(a39, per, func())
= request.security(a40, per, func())
roundn(x, n) =>
mult = 1
if n != 0
for i = 1 to math.abs(n) by 1
mult *= 10
mult
n >= 0 ? math.round(x * mult) / mult : math.round(x / mult) * mult
scr_label = 'TARAMA '
scr_label := s1 ? scr_label + syminfo.ticker(a01) + ' ' + str.tostring(roundn(v1, 2)) + ' ' : scr_label
scr_label := s2 ? scr_label + syminfo.ticker(a02) + ' ' + str.tostring(roundn(v2, 2)) + ' ' : scr_label
scr_label := s3 ? scr_label + syminfo.ticker(a03) + ' ' + str.tostring(roundn(v3, 2)) + ' ' : scr_label
scr_label := s4 ? scr_label + syminfo.ticker(a04) + ' ' + str.tostring(roundn(v4, 2)) + ' ' : scr_label
scr_label := s5 ? scr_label + syminfo.ticker(a05) + ' ' + str.tostring(roundn(v5, 2)) + ' ' : scr_label
scr_label := s6 ? scr_label + syminfo.ticker(a06) + ' ' + str.tostring(roundn(v6, 2)) + ' ' : scr_label
scr_label := s7 ? scr_label + syminfo.ticker(a07) + ' ' + str.tostring(roundn(v7, 2)) + ' ' : scr_label
scr_label := s8 ? scr_label + syminfo.ticker(a08) + ' ' + str.tostring(roundn(v8, 2)) + ' ' : scr_label
scr_label := s9 ? scr_label + syminfo.ticker(a09) + ' ' + str.tostring(roundn(v9, 2)) + ' ' : scr_label
scr_label := s10 ? scr_label + syminfo.ticker(a10) + ' ' + str.tostring(roundn(v10, 2)) + ' ' : scr_label
scr_label := s11 ? scr_label + syminfo.ticker(a11) + ' ' + str.tostring(roundn(v11, 2)) + ' ' : scr_label
scr_label := s12 ? scr_label + syminfo.ticker(a12) + ' ' + str.tostring(roundn(v12, 2)) + ' ' : scr_label
scr_label := s13 ? scr_label + syminfo.ticker(a13) + ' ' + str.tostring(roundn(v13, 2)) + ' ' : scr_label
scr_label := s14 ? scr_label + syminfo.ticker(a14) + ' ' + str.tostring(roundn(v14, 2)) + ' ' : scr_label
scr_label := s15 ? scr_label + syminfo.ticker(a15) + ' ' + str.tostring(roundn(v15, 2)) + ' ' : scr_label
scr_label := s16 ? scr_label + syminfo.ticker(a16) + ' ' + str.tostring(roundn(v16, 2)) + ' ' : scr_label
scr_label := s17 ? scr_label + syminfo.ticker(a17) + ' ' + str.tostring(roundn(v17, 2)) + ' ' : scr_label
scr_label := s18 ? scr_label + syminfo.ticker(a18) + ' ' + str.tostring(roundn(v18, 2)) + ' ' : scr_label
scr_label := s19 ? scr_label + syminfo.ticker(a19) + ' ' + str.tostring(roundn(v19, 2)) + ' ' : scr_label
scr_label := s20 ? scr_label + syminfo.ticker(a20) + ' ' + str.tostring(roundn(v20, 2)) + ' ' : scr_label
scr_label := s21 ? scr_label + syminfo.ticker(a21) + ' ' + str.tostring(roundn(v21, 2)) + ' ' : scr_label
scr_label := s22 ? scr_label + syminfo.ticker(a22) + ' ' + str.tostring(roundn(v22, 2)) + ' ' : scr_label
scr_label := s23 ? scr_label + syminfo.ticker(a23) + ' ' + str.tostring(roundn(v23, 2)) + ' ' : scr_label
scr_label := s24 ? scr_label + syminfo.ticker(a24) + ' ' + str.tostring(roundn(v24, 2)) + ' ' : scr_label
scr_label := s25 ? scr_label + syminfo.ticker(a25) + ' ' + str.tostring(roundn(v25, 2)) + ' ' : scr_label
scr_label := s26 ? scr_label + syminfo.ticker(a26) + ' ' + str.tostring(roundn(v26, 2)) + ' ' : scr_label
scr_label := s27 ? scr_label + syminfo.ticker(a27) + ' ' + str.tostring(roundn(v27, 2)) + ' ' : scr_label
scr_label := s28 ? scr_label + syminfo.ticker(a28) + ' ' + str.tostring(roundn(v28, 2)) + ' ' : scr_label
scr_label := s29 ? scr_label + syminfo.ticker(a29) + ' ' + str.tostring(roundn(v29, 2)) + ' ' : scr_label
scr_label := s30 ? scr_label + syminfo.ticker(a30) + ' ' + str.tostring(roundn(v30, 2)) + ' ' : scr_label
scr_label := s31 ? scr_label + syminfo.ticker(a31) + ' ' + str.tostring(roundn(v31, 2)) + ' ' : scr_label
scr_label := s32 ? scr_label + syminfo.ticker(a32) + ' ' + str.tostring(roundn(v32, 2)) + ' ' : scr_label
scr_label := s33 ? scr_label + syminfo.ticker(a33) + ' ' + str.tostring(roundn(v33, 2)) + ' ' : scr_label
scr_label := s34 ? scr_label + syminfo.ticker(a34) + ' ' + str.tostring(roundn(v34, 2)) + ' ' : scr_label
scr_label := s35 ? scr_label + syminfo.ticker(a35) + ' ' + str.tostring(roundn(v35, 2)) + ' ' : scr_label
scr_label := s36 ? scr_label + syminfo.ticker(a36) + ' ' + str.tostring(roundn(v36, 2)) + ' ' : scr_label
scr_label := s37 ? scr_label + syminfo.ticker(a37) + ' ' + str.tostring(roundn(v37, 2)) + ' ' : scr_label
scr_label := s38 ? scr_label + syminfo.ticker(a38) + ' ' + str.tostring(roundn(v38, 2)) + ' ' : scr_label
scr_label := s39 ? scr_label + syminfo.ticker(a39) + ' ' + str.tostring(roundn(v39, 2)) + ' ' : scr_label
scr_label := s40 ? scr_label + syminfo.ticker(a40) + ' ' + str.tostring(roundn(v40, 2)) + ' ' : scr_label
var panel =table.new(position = position.top_right,columns = 10,rows=10,bgcolor = color.green,frame_color = color.black,border_color = color.red)
//lab_1 = label.new(bar_index + loc,50, scr_label, color=color.green, textcolor=color.white, style=label.style_label_center)
//label.delete(lab_1 )
if barstate.islast
table.cell(panel,0,0,text = str.tostring(scr_label))
if str.length(scr_label) > 8
alert(scr_label,alert.freq_once_per_bar_close)
//------------------------------------------------------
OC Mean +/- Std Dev (last N bars) - v6tells you the value of the current close-open value to the past n bars. helpful to determine if current bar is more than 1 std dev off the average close-open
CRYPTO WAVE HUNTERWAVE HUNTER This indicator is designed to identify price movements across different time frames. Its purpose is to identify hourly, 2-hour, and 4-hour price movements on 3-minute candlestick charts. It is suitable for use on a 3-minute chart.
Dual Relative Strength (Fast & Slow, Single Baseline)Dual-Period RS Setup (Fast + Slow)
1. Fast RS (Early Leadership)
• Indicator: Relative Strength (by modhelius)
• Comparative Symbol: NIFTY
• Period: 26 weeks (~6 months)
• Purpose: Detects early shifts in relative strength before price fully confirms.
⸻
2. Slow RS (Confirmation)
• Add the same indicator again.
• Comparative Symbol: NIFTY
• Period: 52 weeks (1 year)
• Purpose: Confirms sustained leadership. Helps filter noise & false positives.