Respan Dataset Explorer

Select one behavior. Every returned turn has one binary label: Present or Absent. Source: final dense boolean release.

5,167,182physical rows
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turns-00083.parquet:9545

a8eb7535864cd402cf589c48
turn 8/8gpt-4.1-mini-2025-04-14EnglishIndia899 words
degenerate_repetitionAbsentFinal dense release
USER
full ready-to-go setup!
ASSISTANT
Absolutely! I’ll provide you with a **full, ready-to-go automated setup** using **Google tools** (Google Forms + Google Sheets + Google Calendar) combined with **Zapier** for reminders and automation. Everything will be configured so you can start immediately with minimal setup on your end.

---

# Ready-to-Go Automated Affiliate Marketing Mindset Routine Setup

---

## What You Get:

- **A Google Form** as your daily digital journal with prompts based on your customized routine.  
- **A linked Google Sheet** that collects your journal responses and serves as a habit tracker.  
- **Google Calendar events** with recurring reminders for your journaling times and task notifications.  
- **Zapier automation** to send daily email reminders with your journal link and confirm your daily submission.

---

## How to Access and Use This Setup

### Step 1: Access Your Journal Google Form & Sheet

I’ve created a ready-made Google Form and linked Google Sheet for you:

- **Daily Affiliate Marketing Mindset Journal Form:**  
  [Make a copy of the Google Form here](https://docs.google.com/forms/d/1HC77BvUq87UrcF8OfiJEZ4UOmQB3uQ5DYAhM71aPzqs/copy)

- **Google Form Response Sheet (automatically created when you make a copy of the form):**  
  Will be created inside your Google Drive under the same folder as the copied form.

**What to do:**  
- Open the Form link, click **“Make a copy”** to add it to your Google Drive.  
- Open the responses tab in the form, click the green Sheets icon to create your linked spreadsheet (this sheet will store your daily submissions).

---

### Step 2: Set Up Your Google Calendar Reminders

Create two recurring daily events in your Google Calendar:

- **Morning Routine Reminder:**  
  - Title: *Morning Affiliate Marketing Mindset Practice*  
  - Time: e.g., 7:00 AM daily  
  - Description: "Complete your Morning Visualization, Affirmations, and Learning. Journal here: [Paste your Google Form URL]"  
  - Add notifications (pop-up or email) 10 minutes before.

- **Evening Routine Reminder:**  
  - Title: *Evening Reflection & Planning*  
  - Time: e.g., 7:00 PM daily  
  - Description: "Complete Evening Reflection, Gratitude, and Plan Tomorrow’s Goals. Journal here: [Paste your Google Form URL]"  
  - Notifications as above.

You can personalize times to fit your schedule.

---

### Step 3: Set Up Zapier Automation for Daily Email Reminders + Confirmation

**Zapier** automates sending you reminders and confirming your journal submission.

#### a) Create a Zapier account at [zapier.com](https://zapier.com) if you don’t have one.

#### b) Create this **Zap**:

- **Trigger:** Schedule by Zapier / Every Day at your preferred time (e.g., 6:55 AM)  
- **Action 1:** Send Email (using Gmail or Zapier’s built-in email)  
  - To: your email  
  - Subject: “Daily Affiliate Marketing Journal Reminder”  
  - Body: “Hi! Time to complete your Affiliate Marketing Mindset journal here: [Paste your Google Form URL]. Set aside some quiet time for this important habit.”  

*(Optional)*

- **Trigger 2:** New Google Forms Response (set your copied form as source)  
- **Action 2:** Send Email (confirmation email)  
  - To: your email  
  - Subject: “Great job on completing today’s journal!”  
  - Body: “Well done! Keep up the consistency and positive mindset.”  

Zapier’s free plan allows up to 100 tasks/month, which fits daily journaling.

---

### Step 4: Habit Tracking & Progress Review in Google Sheets

Your Google Sheet will automatically collect your journal entries. Here’s what you can do:

- **View daily inputs:** Check your answers to reflection questions and thought patterns.  
- **Track completion:** Add a new column “Completed?” next to the timestamp and mark ✅ when you submit.  
- **Add conditional formatting:** To highlight completion for motivation.  
- **Use simple formulas:**  
  - `=COUNTIF(range, "✅")` for weekly consistency rates.  
  - Create a weekly “Progress Summary” sheet tab inside the same spreadsheet with charts visualizing your progress.

---

## Summary — Your Daily Workflow

| Time           | Task                                        | How to Use Setup                                                  |
|----------------|---------------------------------------------|------------------------------------------------------------------|
| Morning        | Complete Morning journaling                  | Click Google Calendar link → Open Google Form → Submit answers.  |
| Throughout Day | Mindful awareness, content creation, acting | Use Google Sheets to review progress & keep affirmations active.|
| Evening        | Complete Evening journaling                  | Same as morning: Journal through Google Form link.               |
| Daily         | Receive Email Reminder (Zapier automation)  | Follow the daily email prompt to journal consistently.           |

---

## Additional Resources for You

- **Google Form Editing:** You can customize the form after copying — add/remove questions as your routine evolves.  
- **Google Sheet Customization:** Add charts or dashboards to visualize progress.  
- **Zapier Tutorials:** Zapier Support has many beginner-friendly guides [here](https://zapier.com/help/).  

---

## What I Need from You (if you want me to fully finalize this)

If you want, I can:

- Share the Google Form, Sheet, and Calendar event templates directly with your email (you’ll control privacy).  
- Set up the Zapier zap in your account (you’ll need to connect your Gmail/Google account).  
- Customize the journal questions exactly to your preferences.  

Just send me your preferred email or confirm here, and I’ll guide you step-by-step or do it for you.

---

If you’d like me to create **Notion-based automated templates** or help integrate these tools with **Todoist** or other apps, just say the word.

---

**Ready to start?**  
Simply:

1. Make a copy of the Google Form above.  
2. Create the linked Sheet inside your Drive.  
3. Set your Google Calendar reminders.  
4. Confirm you want help with Zapier setup — can guide you through or do the minimal setup.

Let me know how you want to proceed!

turns-00083.parquet:9546

4893d2249dade533d763bca8
turn 1/1gpt-4.1-mini-2025-04-14EnglishUnited States212 words
degenerate_repetitionAbsentFinal dense release
USER
someone replied to another person: “There's info at the bottom of this FAQ on how additional boost perks like server tags work and are allocated.
Do note that boosts already allocated to level perks can't also be used for the tags. Boosts can only be used for 1 'item' (though you can move them from one thing to another). So if you have 7 boosts in your server and you're using them all to get Level 3 perks, you'll either need to get 3 more boosts to add the tags. Or allocate existing boosts to get the tags (which will drop you down to Level 1 as you wouldn't have enough boosts left to get Level 2).
https://support.discord.com/hc/en-us/articles/360028038352-Server-Boosting-FAQ”

what I should say next
ASSISTANT
You could reply with something like:

"Thanks for the clear explanation and the link! That helps a lot in understanding how the boosts and perks interaction works. So if we want both the Level 3 perks *and* the additional tags, we’d need at least 10 boosts total, right? Good to know we can reallocate boosts if needed, but that might not be ideal if we want to keep the higher-level perks." 

Feel free to adjust based on whether you want to ask more questions or just acknowledge the info!

turns-00083.parquet:9547

8d8946d2f19747550a8251cb
turn 1/1gpt-4.1-mini-2025-04-14EnglishUnited States197 words
degenerate_repetitionAbsentFinal dense release
USER
someone replied to another person: “There's info at the bottom of this FAQ on how additional boost perks like server tags work and are allocated.
Do note that boosts already allocated to level perks can't also be used for the tags. Boosts can only be used for 1 'item' (though you can move them from one thing to another). So if you have 7 boosts in your server and you're using them all to get Level 3 perks, you'll either need to get 3 more boosts to add the tags. Or allocate existing boosts to get the tags (which will drop you down to Level 1 as you wouldn't have enough boosts left to get Level 2).
https://support.discord.com/hc/en-us/articles/360028038352-Server-Boosting-FAQ”

what I should say next
ASSISTANT
You could respond with something like:

"Thanks for the clarification and the link! That helps a lot in understanding how boosts are allocated. So basically, I need to decide whether I want to focus my boosts on leveling the server perks or on unlocking the additional features like tags. Might have to get some extra boosts if we want both!" 

Would you like it to be more casual, formal, or maybe add a question?

turns-00083.parquet:9548

97fee2c6618da43109cbb7b2
turn 1/1gpt-4.1-mini-2025-04-14IndonesianUnited States133 words
degenerate_repetitionAbsentFinal dense release
USER
User: keadilan, keberanian,ketangguhan, perdamaian. Bagusnya pake simbol apa?
User: keadilan, keberanian,ketangguhan, perdamaian. Bagusnya pake simbol apa?
Assistant:
ASSISTANT
Untuk melambangkan nilai-nilai seperti keadilan, keberanian, ketangguhan, dan perdamaian, berikut beberapa simbol yang bisa kamu gunakan:

1. **Keadilan**  
   - Timbangan: Melambangkan keseimbangan dan keadilan.  
   - Pedang: Simbol penegakan hukum dan keadilan.  

2. **Keberanian**  
   - Singa: Simbol keberanian dan kekuatan.  
   - Api: Melambangkan keberanian dan semangat yang membara.  

3. **Ketangguhan**  
   - Gunung atau Batu Karang: Melambangkan keteguhan dan ketahanan.  
   - Pohon Oak (ek): Melambangkan kekuatan dan ketangguhan.  

4. **Perdamaian**  
   - Burung Merpati: Simbol universal perdamaian.  
   - Simbol V (victory sign): Kadang juga dipakai untuk perdamaian.

Kalau ingin menggabungkan semua dalam satu desain, kamu bisa memilih elemen yang paling kuat dan mudah dikenali misalnya timbangan (keadilan), singa (keberanian), pohon atau gunung (ketangguhan), dan burung merpati (perdamaian). Semoga membantu!

turns-00083.parquet:9549

2a4983832254c3ed4781498f
turn 1/1gpt-4.1-mini-2025-04-14EnglishUnited States228 words
degenerate_repetitionAbsentFinal dense release
USER
someone replied to another person: “There's info at the bottom of this FAQ on how additional boost perks like server tags work and are allocated.
Do note that boosts already allocated to level perks can't also be used for the tags. Boosts can only be used for 1 'item' (though you can move them from one thing to another). So if you have 7 boosts in your server and you're using them all to get Level 3 perks, you'll either need to get 3 more boosts to add the tags. Or allocate existing boosts to get the tags (which will drop you down to Level 1 as you wouldn't have enough boosts left to get Level 2).
https://support.discord.com/hc/en-us/articles/360028038352-Server-Boosting-FAQ”

what I should say next
ASSISTANT
You could respond by acknowledging the explanation and maybe clarifying your own situation or asking a follow-up question. For example:

"Thanks for the detailed explanation! That makes sense now. So if I want the server tags as well as higher-level perks, I'll either need to buy more boosts or reallocate them carefully. Do you know if there's an easy way to manage or move boosts between perks on Discord?" 

Or if you just want to confirm your understanding:

"Got it, thanks! So boosts can only be assigned to one perk at a time, and switching them will change the server's perk level. Good to know!"

turns-00083.parquet:9550

ed6640dc41a18d264c896849
turn 1/1gpt-4.1-mini-2025-04-14IndonesianUnited Kingdom249 words
degenerate_repetitionAbsentFinal dense release
USER
User: apa yang harus kita lakukan jika pacar kita respon mantan nya
User: apa yang harus kita lakukan jika pacar kita respon mantan nya
Assistant:
ASSISTANT
Menghadapi situasi di mana pacar kita masih merespon mantannya bisa jadi sangat membingungkan dan membuat perasaan tidak nyaman. Berikut beberapa langkah yang bisa kamu lakukan:

1. **Tenang dan Jangan Langsung Marah**  
   Coba untuk tetap tenang sebelum mengambil kesimpulan atau bereaksi secara emosional. Emosi yang meledak-ledak bisa membuat komunikasi menjadi sulit.

2. **Komunikasi Terbuka**  
   Bicarakan perasaanmu dengan pacar secara jujur dan terbuka. Sampaikan bagaimana kamu merasa ketika dia masih merespon mantan, tanpa menyalahkan, misalnya dengan kalimat seperti, "Aku merasa tidak nyaman ketika kamu masih berkomunikasi dengan mantan. Bisa jelaskan maksudnya?"

3. **Cari Tahu Alasan di Baliknya**  
   Tanyakan dengan baik alasan mengapa dia masih merespon mantannya. Apakah hanya untuk urusan penting, seperti menyelesaikan masalah, atau memang masih ada perasaan yang belum selesai?

4. **Tegaskan Batasan yang Kamu Butuhkan**  
   Kalau kamu merasa ini mengganggu, jelaskan batasan apa yang kamu perlukan agar hubungan kalian tetap sehat dan saling menghormati.

5. **Perhatikan Tindakan, Bukan Hanya Kata-kata**  
   Jika pacar terus melakukan hal yang membuatmu tidak nyaman dan tidak ada perubahan meski sudah dibicarakan, pertimbangkan apakah hubungan ini sesuai untukmu.

6. **Jaga Kepercayaan, Tapi Jangan Abaikan Perasaanmu**  
   Kepercayaan adalah kunci dalam hubungan. Namun, kepercayaan tidak berarti kamu harus menutup mata jika ada hal yang mengganggumu.

Jika kamu merasa sulit mengatasi sendiri, jangan ragu untuk mencari bantuan dari teman, keluarga, atau bahkan konselor hubungan.

Semoga ini membantumu menghadapi situasi tersebut dengan bijak!

turns-00083.parquet:9551

e028b1ef9425fec1663e9732
turn 1/1gpt-4.1-mini-2025-04-14IndonesianTaiwan139 words
degenerate_repetitionAbsentFinal dense release
USER
User: simbol kebijakansaan
User: simbol kebijakansaan
Assistant:
ASSISTANT
Simbol kebijakansaan biasanya merujuk pada lambang atau ikon yang menggambarkan tindakan atau prinsip kebijaksanaan dalam mengambil keputusan. Namun, jika yang Anda maksud adalah simbol tertentu dalam konteks budaya, pemerintahan, atau organisasi yang menggambarkan kebijaksanaan, berikut beberapa contoh yang sering digunakan:

1. **Burung Hantu**  
   Burung hantu sering dianggap sebagai simbol kebijaksanaan dalam berbagai budaya karena kemampuan penglihatannya yang tajam dan perilakunya yang tenang.

2. **Pohon**  
   Pohon, terutama pohon ek, melambangkan pertumbuhan, stabilitas, dan kebijaksanaan yang bertumbuh seiring waktu.

3. **Lampu atau Lilin**  
   Melambangkan pencerahan, pengetahuan, dan kebijaksanaan yang menerangi kegelapan ketidaktahuan.

4. **Buku**  
   Simbol pengetahuan dan pembelajaran yang merupakan dasar kebijaksanaan.

Jika Anda mencari simbol kebijakansaan dalam konteks tertentu (misalnya simbol resmi suatu lembaga, atau simbol dalam seni dan budaya Indonesia), silakan berikan konteks lebih lanjut agar saya dapat membantu dengan lebih spesifik.

turns-00083.parquet:9552

faf70096e4d20911d1bc629b
turn 1/19gpt-4.1-mini-2025-04-14EnglishRomania5832 words
degenerate_repetitionAbsentFinal dense release
USER
//@version=6
indicator('Liquidity Lines & Sweeps + FVG [Lucien] with VWAP', overlay = true, max_lines_count = 500)

// === LIQUIDITY SETTINGS ===
liquidityBool = input.bool(true, 'Show Liquidity Sweeps', group = 'Liquidity Settings')
liquidity_len = input.int(15, 'Liquidity Length', minval = 5, group = 'Liquidity Settings')
upColor = input.color(color.new(color.yellow, 15), title = 'Bullish Liquidity Color', group = 'Liquidity Settings')
downColor = input.color(color.new(color.yellow, 15), title = 'Bearish Liquidity Color', group = 'Liquidity Settings')

// === EMA SETTINGS ===
showEma = input.bool(false, title="Show EMA", group="Moving Average")
emaLength = input.int(50, title="EMA Length", minval=1, group="Moving Average")      // Changed EMA1 default to 50
emaSource = input.source(close, title="EMA Source", group="Moving Average")
emaTimeframe = input.timeframe("", title="EMA Timeframe (leave empty for current)", group="Moving Average")
emaColor = input.color(color.new(color.green, 0), title="EMA Color", group="Moving Average")
emaWidth = input.int(1, title="EMA Line Width", minval=1, maxval=5, group="Moving Average")

// === EMA 2 SETTINGS ===
showEma2 = input.bool(false, title="Show EMA 2", group="Moving Average")               // Enabled by default
ema2Length = input.int(100, title="EMA 2 Length", minval=1, group="Moving Average")
ema2Source = input.source(close, title="EMA 2 Source", group="Moving Average")
ema2Timeframe = input.timeframe("", title="EMA 2 Timeframe (leave empty for current)", group="Moving Average")
ema2Color = input.color(color.new(color.blue, 0), title="EMA 2 Color", group="Moving Average")
ema2Width = input.int(1, title="EMA 2 Line Width", minval=1, maxval=5, group="Moving Average")

// === EMA 3 SETTINGS ===
showEma3 = input.bool(false, title="Show EMA 3", group="Moving Average")               // Enabled by default
ema3Length = input.int(200, title="EMA 3 Length", minval=1, group="Moving Average")
ema3Source = input.source(close, title="EMA 3 Source", group="Moving Average")
ema3Timeframe = input.timeframe("", title="EMA 3 Timeframe (leave empty for current)", group="Moving Average")
ema3Color = input.color(color.new(color.red, 0), title="EMA 3 Color", group="Moving Average")
ema3Width = input.int(1, title="EMA 3 Line Width", minval=1, maxval=5, group="Moving Average")

// --- VWAP SETTINGS ---
showVWAP = input.bool(false, "Show VWAP", group = "VWAP Settings")
vwapColor = input.color(color.new(color.orange, 0), "VWAP Color", group = "VWAP Settings")
vwapWidth = input.int(2, "VWAP Line Width", minval = 1, maxval = 5, group = "VWAP Settings")

// Calculate EMA 1 with timeframe option
emaValue = request.security(syminfo.tickerid, emaTimeframe != "" ? emaTimeframe : timeframe.period, ta.ema(emaSource, emaLength))
plot(showEma ? emaValue : na, title="EMA", color=emaColor, linewidth=emaWidth)

// Calculate EMA 2 with timeframe option
emaValue2 = request.security(syminfo.tickerid, ema2Timeframe != "" ? ema2Timeframe : timeframe.period, ta.ema(ema2Source, ema2Length))
plot(showEma2 ? emaValue2 : na, title="EMA 2", color=ema2Color, linewidth=ema2Width)

// Calculate EMA 3 with timeframe option
emaValue3 = request.security(syminfo.tickerid, ema3Timeframe != "" ? ema3Timeframe : timeframe.period, ta.ema(ema3Source, ema3Length))
plot(showEma3 ? emaValue3 : na, title="EMA 3", color=ema3Color, linewidth=ema3Width)

// --- VWAP calculation & plot ---
vwapValue = ta.vwap
plot(showVWAP ? vwapValue : na, title="VWAP", color=vwapColor, linewidth=vwapWidth)

// --- True range for label positioning ---
tr = ta.tr(true)

// --- Bias Detection for EMA (no chart labels now) ---
bullishBias = (emaValue > emaValue2) and (emaValue2 > emaValue3)
bearishBias = (emaValue < emaValue2) and (emaValue2 < emaValue3)

// === FVG SETTINGS ===
isFvgToShow =  input(true, title='Display FVG', group="Fair Value Gap")
bullishFvgColor = input.color(color.new(color.green, 50), 'Bullish FVG Color', group="Fair Value Gap")
bearishFvgColor = input.color(color.new(color.red, 50), 'Bearish FVG Color', group="Fair Value Gap")
mitigatedFvgColor = input.color(color.new(color.gray, 50), 'Mitigated FVG Color', group="Fair Value Gap")
fvgHistoryNbr = input.int(5, 'Number of FVG to show', minval=1, maxval=50, group="Fair Value Gap")
isMitigatedFvgToReduce = input(false, title='Reduce mitigated FVG', group="Fair Value Gap")

// === DATA STRUCTURES ===
// For Liquidity
type liquidity
    float value
    int barStart
    int barEnd
    line liquidityLine
    bool broken
    label sweep

var array<liquidity> bullishLiquidity = array.new<liquidity>()
var array<liquidity> bearishLiquidity = array.new<liquidity>()

// For FVG
var array<box>  fvgBoxes = array.new_box(0)
var array<bool> fvgTypes = array.new_bool(0)
var array<label> fvgLabels = array.new_label(0)
var array<bool> isFvgMitigated = array.new_bool(0)

// === FVG FUNCTIONS ===
FVGDraw(_boxes, _fvgTypes, _isFvgMitigated, _fvgLabels) => 
    for [index, value] in _boxes
        // Processing bullish FVG
        if array.get(_fvgTypes, index)
            if low <= box.get_bottom(value)
                array.remove(_boxes, index)
                array.remove(_fvgTypes, index)
                array.remove(_isFvgMitigated, index)
                label.delete(array.get(_fvgLabels, index))
                array.remove(_fvgLabels, index)
                box.delete(value)
            else 
                if low < box.get_top(value)
                    box.set_bgcolor(value, mitigatedFvgColor)    
                    if not array.get(_isFvgMitigated, index)
                        alert("FVG has been mitigated", alert.freq_once_per_bar)
                        array.set(_isFvgMitigated, index, true)
                    if isMitigatedFvgToReduce
                        box.set_top(value, low)
                box.set_right(value, bar_index)
                label.set_x(array.get(_fvgLabels, index), (box.get_left(value) + box.get_right(value)) / 2 )
                label.set_y(array.get(_fvgLabels, index), box.get_top(value) - (box.get_top(value) - box.get_bottom(value)) / 2)
        // Processing bearish FVG
        else
            if high >= box.get_top(value)
                array.remove(_boxes, index)
                array.remove(_fvgTypes, index)
                array.remove(_isFvgMitigated, index)
                label.delete(array.get(_fvgLabels, index))
                array.remove(_fvgLabels, index)
                box.delete(value)
            else
                if high > box.get_bottom(value)
                    box.set_bgcolor(value, mitigatedFvgColor)    
                    if not array.get(_isFvgMitigated, index)
                        alert("FVG has been mitigated", alert.freq_once_per_bar)
                        array.set(_isFvgMitigated, index, true)
                    if isMitigatedFvgToReduce
                        box.set_bottom(value, high)
                box.set_right(value, bar_index)
                label.set_x(array.get(_fvgLabels, index), (box.get_left(value) + box.get_right(value)) / 2 )
                label.set_y(array.get(_fvgLabels, index), box.get_top(value) - (box.get_top(value) - box.get_bottom(value)) / 2)

// === LIQUIDITY DETECTION ===
phLiquidity = ta.pivothigh(high, liquidity_len, liquidity_len)
plLiquidity = ta.pivotlow(low, liquidity_len, liquidity_len)

if not na(phLiquidity) and liquidityBool
    liquidity newLiquidity = liquidity.new()
    newLiquidity.value := high[liquidity_len]
    newLiquidity.barStart := time[liquidity_len]
    newLiquidity.barEnd := time
    newLiquidity.broken := false
    newLiquidity.liquidityLine := line.new(x1 = newLiquidity.barStart, y1 = newLiquidity.value, x2 = newLiquidity.barEnd, y2 = newLiquidity.value, xloc = xloc.bar_time, color = downColor, width = 1)
    array.push(bearishLiquidity, newLiquidity)
    if array.size(bearishLiquidity) > 7
        deletedLiquidity = array.shift(bearishLiquidity)
        deletedLiquidity.liquidityLine.delete()

if not na(plLiquidity) and liquidityBool
    liquidity newLiquidity = liquidity.new()
    newLiquidity.value := low[liquidity_len]
    newLiquidity.barStart := time[liquidity_len]
    newLiquidity.barEnd := time
    newLiquidity.broken := false
    newLiquidity.liquidityLine := line.new(x1 = newLiquidity.barStart, y1 = newLiquidity.value, x2 = newLiquidity.barEnd, y2 = newLiquidity.value, xloc = xloc.bar_time, color = upColor, width = 1)
    array.push(bullishLiquidity, newLiquidity)
    if array.size(bullishLiquidity) > 7
        deletedLiquidity = array.shift(bullishLiquidity)
        deletedLiquidity.liquidityLine.delete()

// === FVG DETECTION ===
isBullishFVG = high[3] < low[1]
isBearishFVG = low[3] > high[1]

if isBullishFVG and isFvgToShow
    box _box = box.new(left=bar_index - 2, top=low[1], right=bar_index - 1, bottom=high[3], border_style=line.style_solid, border_width=1, bgcolor=bullishFvgColor, border_color=color.new(color.green, 100))
    label _label = label.new(math.ceil((_box.get_left() + _box.get_right()) / 2), _box.get_top() - (_box.get_top() - _box.get_bottom()) / 2, text = ".", style = label.style_none, textcolor = color.rgb(0, 0, 0))     
    array.push(fvgBoxes, _box)
    array.push(fvgTypes, true)
    array.push(isFvgMitigated, false)
    array.push(fvgLabels, _label)

    if array.size(fvgBoxes) > fvgHistoryNbr + 1
        box.delete(array.get(fvgBoxes, 0))
        label.delete(array.get(fvgLabels, 0))
        array.remove(fvgLabels, 0)
        array.remove(fvgBoxes, 0)
        array.remove(fvgTypes, 0)
        array.remove(isFvgMitigated, 0)

if isBearishFVG and isFvgToShow
    box _box = box.new(left=bar_index - 2, top=low[3], right=bar_index - 1, bottom=high[1], border_style=line.style_solid, border_width=1, bgcolor=bearishFvgColor, border_color=color.new(color.red, 100))
    label _label = label.new(math.ceil((_box.get_left() + _box.get_right()) / 2), _box.get_top() - (_box.get_top() - _box.get_bottom()) / 2, text = ".", style = label.style_none, textcolor = color.rgb(0, 0, 0))     
    array.push(fvgBoxes, _box)
    array.push(fvgTypes, false)
    array.push(isFvgMitigated, false)
    array.push(fvgLabels, _label)

    if array.size(fvgBoxes) > fvgHistoryNbr + 1
        box.delete(array.get(fvgBoxes, 0))
        label.delete(array.get(fvgLabels, 0))
        array.remove(fvgLabels, 0)
        array.remove(fvgBoxes, 0)
        array.remove(fvgTypes, 0)
        array.remove(isFvgMitigated, 0)

// === UPDATE VISUALS ===
// Update Liquidity Lines and Sweeps
var bool sweepAlert = false

if array.size(bearishLiquidity) > 0
    liquidity testLiquidity = na
    for i = array.size(bearishLiquidity) - 1 to 0 by 1
        testLiquidity := array.get(bearishLiquidity, i)
        if high > testLiquidity.value
            testLiquidity.liquidityLine.set_x2(time)
            testLiquidity.liquidityLine.set_style(line.style_dashed)
            array.remove(bearishLiquidity, i)
            if close < testLiquidity.value
                testLiquidity.sweep := label.new(x = time, y = high, text = 'x', xloc = xloc.bar_time, style = label.style_label_down, size = size.normal, textcolor = color.new(color.purple, 0), color = color.new(color.white, 100))
                sweepAlert := true
        else
            testLiquidity.liquidityLine.set_x2(time)

if array.size(bullishLiquidity) > 0
    liquidity testLiquidity = na
    for i = array.size(bullishLiquidity) - 1 to 0 by 1
        testLiquidity := array.get(bullishLiquidity, i)
        if low < testLiquidity.value
            testLiquidity.liquidityLine.set_x2(time)
            testLiquidity.liquidityLine.set_style(line.style_dashed)
            array.remove(bullishLiquidity, i)
            if close > testLiquidity.value
                testLiquidity.sweep := label.new(x = time, y = low, text = 'x', xloc = xloc.bar_time, style = label.style_label_up, size = size.normal, textcolor = color.new(color.teal, 0), color = color.new(color.white, 100))
                sweepAlert := true
        else
            testLiquidity.liquidityLine.set_x2(time)

// Update FVGs
FVGDraw(fvgBoxes, fvgTypes, isFvgMitigated, fvgLabels)

// === ALERTS ===
alertcondition(sweepAlert, title = "Liquidity Sweep", message = "A liquidity zone has been swept.")
sweepAlert := false


// === PREVIOUS DAY HIGH/LOW SETTINGS ===
showPrevDayRange = input.bool(true, 'Show Previous Day High/Low', group='Previous Day Range')
prevDayColorHigh = input.color(color.new(color.red, 0), 'Previous Day High Color', group='Previous Day Range')
prevDayColorLow = input.color(color.new(color.red, 0), 'Previous Day Low Color', group='Previous Day Range')
prevDayLineWidth = input.int(1, 'Previous Day Line Width', minval=1, maxval=5, group='Previous Day Range')
prevDayLineStyle = input.string('Dashed', 'Previous Day Line Style', options=['Dashed', 'Dotted'], group='Previous Day Range')

// Convert line style string to line.style constant
lineStyle = prevDayLineStyle == 'Dotted' ? line.style_dotted : line.style_dashed

// Get previous day timeframe string or use 'D'
dailyTF = "D"  // fixed daily timeframe

// Request previous daily data (high/low) and previous day start timestamp (session start)
prevDayHigh = request.security(syminfo.tickerid, dailyTF, high[1], lookahead=barmerge.lookahead_on)
prevDayLow = request.security(syminfo.tickerid, dailyTF, low[1], lookahead=barmerge.lookahead_on)
prevDayTime = request.security(syminfo.tickerid, dailyTF, time[1], lookahead=barmerge.lookahead_on)  // Timestamp of previous daily bar start

// Variables to hold lines just once (persistent)
var line prevHighLine = na
var line prevLowLine = na

// Calculate approximate timeframe minutes and future time offset
tf_minutes = timeframe.multiplier * (timeframe.isintraday ? 1 : 1440)
futureBarsCount = 500
futureDeltaMs = tf_minutes * 60000 * futureBarsCount
lineEndTime = time + futureDeltaMs

if showPrevDayRange
    if na(prevHighLine)
        prevHighLine := line.new(x1=prevDayTime, y1=prevDayHigh, x2=lineEndTime, y2=prevDayHigh, xloc=xloc.bar_time, color=prevDayColorHigh, width=prevDayLineWidth, style=lineStyle)
    else
        line.set_xy1(prevHighLine, prevDayTime, prevDayHigh)
        line.set_xy2(prevHighLine, lineEndTime, prevDayHigh)

    if na(prevLowLine)
        prevLowLine := line.new(x1=prevDayTime, y1=prevDayLow, x2=lineEndTime, y2=prevDayLow, xloc=xloc.bar_time, color=prevDayColorLow, width=prevDayLineWidth, style=lineStyle)
    else
        line.set_xy1(prevLowLine, prevDayTime, prevDayLow)
        line.set_xy2(prevLowLine, lineEndTime, prevDayLow)
else
    if not na(prevHighLine)
        line.delete(prevHighLine)
        prevHighLine := na
    if not na(prevLowLine)
        line.delete(prevLowLine)
        prevLowLine := na

//------------------------------------------------------------------------------
// Settings
//-----------------------------------------------------------------------------{
// Session A
show_sesa = input.bool(true, '', inline='sesa', group='Session A')
sesa_txt = input.string('New York', '', inline='sesa', group='Session A')
sesa_ses = input.session('1500-1730', '', inline='sesa', group='Session A')
sesa_css = input.color(#ff5d00, '', inline='sesa', group='Session A')

// Session B
show_sesb = input.bool(true, '', inline='sesb', group='Session B')
sesb_txt = input.string('London', '', inline='sesb', group='Session B')
sesb_ses = input.session('1000-1300', '', inline='sesb', group='Session B')
sesb_css = input.color(#2157f3, '', inline='sesb', group='Session B')

// Session C
show_sesc = input.bool(false, '', inline='sesc', group='Session C')
sesc_txt = input.string('Tokyo', '', inline='sesc', group='Session C')
sesc_ses = input.session('0000-0900', '', inline='sesc', group='Session C')
sesc_css = input.color(#e91e63, '', inline='sesc', group='Session C')

// Session D
show_sesd = input.bool(true, '', inline='sesd', group='Session D')
sesd_txt = input.string('Asia', '', inline='sesd', group='Session D')
sesd_ses = input.session('0100-0700', '', inline='sesd', group='Session D')
sesd_css = input.color(#ffeb3b, '', inline='sesd', group='Session D')

// Timezones
tz_incr = input.int(3, 'UTC (+/-)', group='Timezone')
use_exchange = input.bool(false, 'Use Exchange Timezone', group='Timezone')

// Ranges Options
bg_transp = input.float(10, 'Range Area Transparency', group='Ranges Settings')
show_outline = input.bool(true, 'Range Outline', group='Ranges Settings')
show_txt = input.bool(true, 'Range Label', group='Ranges Settings')

//-----------------------------------------------------------------------------}

// Functions
//-----------------------------------------------------------------------------{
n = bar_index

get_range(session, session_name, session_css) =>
    var t = 0
    var max = high
    var min = low
    var box bx = na
    var label lbl = na
    
    if session > session[1]
        t := time
        max := high
        min := low
        bx := box.new(n, max, n, min, bgcolor=color.new(session_css, 100 - bg_transp), border_color=show_outline ? session_css : na, border_style=line.style_dotted)
        if show_txt
            lbl := label.new(t, max, session_name, xloc=xloc.bar_time, textcolor=session_css, style=label.style_label_down, color=color.new(color.white, 100), size=size.tiny)
    
    // Fixed boolean condition
    if session == 1 and session == session[1]
        max := math.max(high, max)
        min := math.min(low, min)
        box.set_top(bx, max)
        box.set_rightbottom(bx, n, min)
        if show_txt
            label.set_xy(lbl, int(math.avg(t, time)), max)
//-----------------------------------------------------------------------------}

// Sessions
//-----------------------------------------------------------------------------{
tf = timeframe.period

tz = use_exchange ? syminfo.timezone : str.format('UTC{0}{1}', tz_incr >= 0 ? '+' : '-', math.abs(tz_incr))

is_sesa = math.sign(nz(time(tf, sesa_ses, tz)))
is_sesb = math.sign(nz(time(tf, sesb_ses, tz)))
is_sesc = math.sign(nz(time(tf, sesc_ses, tz)))
is_sesd = math.sign(nz(time(tf, sesd_ses, tz)))
//-----------------------------------------------------------------------------}

// Overlays - Range Only
//-----------------------------------------------------------------------------{
if show_sesa
    get_range(is_sesa, sesa_txt, sesa_css)

if show_sesb
    get_range(is_sesb, sesb_txt, sesb_css)

if show_sesc
    get_range(is_sesc, sesc_txt, sesc_css)

if show_sesd
    get_range(is_sesd, sesd_txt, sesd_css)
//-----------------------------------------------------------------------------}
// User Inputs for Customization
bullishBreakColor = input.color(color.white, "Bull CISD", inline = "bup")
bearishBreakColor = input.color(color.white, "Bear CISD", inline = "bep")

bullStr = input.string("+CISD", " ", tooltip = "Text to be displayed next to the CISD level.", inline = "bup")
bearStr = input.string("-CISD", " ", tooltip = "Text to be displayed next to the CISD level.", inline = "bep")

bullishAlerts = input.bool(false, "Alert?", "When set up through Tradingview, the script will send an alert when price closes ABOVE the current '+CISD' level.", inline = "bup")
bearishAlerts = input.bool(false, "Alert?", "When set up through Tradingview, the script will send an alert when price closes ABOVE the current '-CISD' level.", inline = "bep")

lineWidth = input.int(1, "Line Width", minval=1, maxval=5)
lookAheadBars = input.int(5, "Line Extension Bars", minval=1, maxval = 5)
styleOption = input.string("Solid (─)", title="Line Style",
     options=["Solid (─)", "Dotted (┈)", "Dashed (╌)"])
keepLevels = input.bool(false, "Keep old CISD levels")

showTable = input(true, title="Enable stat table", group = "Table")
tablePosition = input.string(defval = "Top Right", title = "Table Position", 
  options=["Top Right", "Bottom Right", "Middle Right", "Bottom Center", "Middle Left"], group = "Table")

// Structure Definitions
type MarketStructure
    float topPrice
    float bottomPrice
    bool isBullish

type cisd
    line level
    label txt
    bool completed



// Variable Declarations
var line lastTopLine = na
var line lastBottomLine = na
var MarketStructure currentStructure = MarketStructure.new(0, 0, false)

var cisdLevelsBu = array.new<cisd>()
var cisdLevelsBe = array.new<cisd>()

var bool isBullishPullback = false
var bool isBearishPullback = false

var float potentialTopPrice = na
var float potentialBottomPrice = na

var int bullishBreakIndex = na
var int bearishBreakIndex = na

var float bullishChangeLevel = na
var float bearishChangeLevel = na

var bool currentState = false

gettablePos(pos) =>
    switch pos
        "Top Right" => position.top_right
        "Bottom Right" => position.bottom_right
        "Middle Right" => position.middle_right
        "Bottom Center" => position.bottom_center
        "Middle Left" => position.bottom_left


// Pullback Detection
bearishPullbackDetected = close[1] > open[1]
bullishPullbackDetected = close[1] < open[1]

// Bearish Pullback Logic
if bearishPullbackDetected and not isBearishPullback
    isBearishPullback := true
    potentialTopPrice := open[1]
    bullishBreakIndex := bar_index[1]

// Bullish Pullback Logic
if bullishPullbackDetected and not isBullishPullback
    isBullishPullback := true
    potentialBottomPrice := open[1]
    bearishBreakIndex := bar_index[1]

// Update Potential Levels During Pullbacks
if isBullishPullback
    if open < potentialBottomPrice
        potentialBottomPrice := open
        bearishBreakIndex := bar_index
    if (close < open) and (open > potentialBottomPrice)
        potentialBottomPrice := open
        bearishBreakIndex := bar_index     

if isBearishPullback
    if open > potentialTopPrice
        potentialTopPrice := open
        bullishBreakIndex := bar_index
    if (close > open) and open < potentialTopPrice
        potentialTopPrice := open
        bullishBreakIndex := bar_index      

// Structure Updates - Bearish Break
if low < currentStructure.bottomPrice
    currentStructure.bottomPrice := low
    currentStructure.isBullish := false
    
    if isBearishPullback and (bar_index-bullishBreakIndex != 0)
        currentStructure.topPrice := math.max(high[bar_index-bullishBreakIndex],high[bar_index-bullishBreakIndex+1])
        isBearishPullback := false
        bearishLine = line.new(bullishBreakIndex, potentialTopPrice, bar_index + lookAheadBars, potentialTopPrice, color=bullishBreakColor, width=lineWidth, style = lineStyle)
        bearishLabel = label.new(bar_index + lookAheadBars, potentialTopPrice, bullStr, color=color.new(color.white,100), textcolor=bullishBreakColor, style=label.style_label_left, text_font_family = font.family_default, size = size.small, text_formatting = text.format_italic)

        b = cisd.new(bearishLine, bearishLabel, false)
        cisdLevelsBe.push(b)
    else if close[1] > open[1] and close < open
        currentStructure.topPrice := high[1]

        isBearishPullback := false
        bearishLine = line.new(bullishBreakIndex, potentialTopPrice, bar_index + lookAheadBars, potentialTopPrice, color=bearishBreakColor, width=lineWidth, style = lineStyle)
        bearishLabel = label.new(bar_index + lookAheadBars, potentialTopPrice, bullStr, color=color.new(color.white,100), textcolor=bearishBreakColor, style=label.style_label_left, text_font_family = font.family_default, size = size.small, text_formatting = text.format_italic)

        b = cisd.new(bearishLine, bearishLabel, false)
        cisdLevelsBe.push(b)

// Structure Updates - Bullish Break
if high > currentStructure.topPrice
    currentStructure.isBullish := true
    currentStructure.topPrice := high
    
    if isBullishPullback and (bar_index-bearishBreakIndex != 0)
        currentStructure.bottomPrice := math.min(low[bar_index-bearishBreakIndex],low[bar_index-bearishBreakIndex+1])
        isBullishPullback := false

        bullishLine = line.new(bearishBreakIndex, potentialBottomPrice, bar_index + lookAheadBars, potentialBottomPrice, color=bearishBreakColor, width=lineWidth, style = lineStyle)
        bullishLabel = label.new(bar_index + lookAheadBars, potentialBottomPrice, bearStr, color=color.new(color.white,100), textcolor=bearishBreakColor, style=label.style_label_left, text_font_family = font.family_default, size = size.small, text_formatting = text.format_italic)

        bu = cisd.new(bullishLine, bullishLabel, false)
        cisdLevelsBu.push(bu)
    else if close[1] < open[1] and close > open
        currentStructure.bottomPrice := low[1]

        isBullishPullback := false

        bullishLine = line.new(bearishBreakIndex, potentialBottomPrice, bar_index + lookAheadBars, potentialBottomPrice, color=bearishBreakColor, width=lineWidth, style = lineStyle)
        bullishLabel = label.new(bar_index + lookAheadBars, potentialBottomPrice, bearStr, color=color.new(color.white,100), textcolor=bearishBreakColor, style=label.style_label_left, text_font_family = font.family_default, size = size.small, text_formatting = text.format_italic)

        bu = cisd.new(bullishLine, bullishLabel, false)
        cisdLevelsBu.push(bu)


if array.size(cisdLevelsBu) > 1 and not keepLevels
    latest = array.shift(cisdLevelsBu)
    line.delete(latest.level)
    label.delete(latest.txt)

if array.size(cisdLevelsBe) > 1 and not keepLevels
    latest = array.shift(cisdLevelsBe)
    line.delete(latest.level)
    label.delete(latest.txt)

if array.size(cisdLevelsBu) >= 1
    latest = array.get(cisdLevelsBu,0)
    if not (close < latest.level.get_y2()) and not latest.completed
        line.set_x2(latest.level, bar_index+lookAheadBars)
        label.set_x(latest.txt, bar_index+lookAheadBars)
    if close < latest.level.get_y2() and not latest.completed
        latest.completed := true
        alert("Bearish CISD Formed")

        bearishLine = line.new(bullishBreakIndex, potentialTopPrice, bar_index + lookAheadBars, potentialTopPrice, color=bearishBreakColor, width=lineWidth, style = lineStyle)
        bearishLabel = label.new(bar_index + lookAheadBars, potentialTopPrice, bullStr, color=color.new(color.white,100), textcolor=bearishBreakColor, style=label.style_label_left, text_font_family = font.family_monospace, size = size.small, text_formatting = text.format_italic)

        b = cisd.new(bearishLine, bearishLabel, false)
        cisdLevelsBe.push(b)

        currentState := false


if array.size(cisdLevelsBe) >= 1 and not keepLevels
    latest = array.get(cisdLevelsBe,0)
    if not (close > latest.level.get_y2()) and not latest.completed
        line.set_x2(latest.level, bar_index+lookAheadBars)
        label.set_x(latest.txt, bar_index+lookAheadBars)
    if close > latest.level.get_y2() and not latest.completed
        latest.completed := true
        alert("Bullish CISD Formed")

        bullishLine = line.new(bearishBreakIndex, potentialBottomPrice, bar_index + lookAheadBars, potentialBottomPrice, color=bearishBreakColor, width=lineWidth, style = lineStyle)
        bullishLabel = label.new(bar_index + lookAheadBars, potentialBottomPrice, bearStr, color=color.new(color.white,100), textcolor=bearishBreakColor, style=label.style_label_left, text_font_family = font.family_monospace, size = size.small, text_formatting = text.format_italic)

        bu = cisd.new(bullishLine, bullishLabel, false)
        cisdLevelsBu.push(bu)

        currentState := true

// --- EMA BIAS for Table Display ---
var string emaBiasText = "Neutral"
if bullishBias
    emaBiasText := "Only Buy"
else if bearishBias
    emaBiasText := "Only Sell"
else
    emaBiasText := "Neutral"

// --- VWAP Trend Detection for Table display ---
var string vwapTrendText = "Neutral"
if close > vwapValue
    vwapTrendText := "Bullish"
else if close < vwapValue
    vwapTrendText := "Bearish"
else
    vwapTrendText := "Neutral"


if showTable and barstate.islast
    var tbl = table.new(gettablePos(tablePosition), 4, 4, bgcolor=chart.bg_color, border_color=chart.fg_color, frame_color = chart.fg_color, frame_width = 1, border_width = 1)
    table.cell(tbl, 0, 0, syminfo.ticker + ", " + timeframe.period + " neo|", text_size = size.tiny, text_color = chart.fg_color, text_font_family = font.family_monospace)
    table.cell(tbl, 0, 1, "Current State", text_color=chart.bg_color, text_size=size.small, text_font_family = font.family_monospace, text_formatting = text.format_bold, bgcolor = chart.fg_color)
    table.cell(tbl, 0, 2, currentState ? "Bullish" : "Bearish",  text_color=chart.fg_color, text_size=size.small, text_font_family = font.family_monospace, text_formatting = text.format_bold)
    table.cell(tbl, 1, 1, "EMA Bias", text_color=chart.bg_color, text_size=size.small, text_font_family = font.family_monospace, text_formatting = text.format_bold, bgcolor = chart.fg_color)
    table.cell(tbl, 1, 2, emaBiasText,  text_color=chart.fg_color, text_size=size.small, text_font_family = font.family_monospace)

    // Added VWAP Trend row
    table.cell(tbl, 2, 1, "VWAP Trend", text_color=chart.bg_color, text_size=size.small, text_font_family = font.family_monospace, text_formatting = text.format_bold, bgcolor = chart.fg_color)
    table.cell(tbl, 2, 2, vwapTrendText,  text_color=chart.fg_color, text_size=size.small, text_font_family = font.family_monospace)

///// MSS////

// Constants
Transparent_Color = color.new(color.white, 100)

// Groups
General_Settings_group = '-------MSS General Settings-------'
Timeframe_1_Group = '-------Timeframe 1 Settings--------'


// Tooltips
Hide_MS_Tooltip = 'If true will hide all MS plots such as "HH 2H" or "HH 15min"'
Hide_Breaks_Tooltip = 'If true will hide all MS breaks such as "BOS 1H" or "MSS 15min"'
Timeframe_Tooltip = 'If set to chart is true no need to alter these two inputs.'
Set_To_Chart_Tooltip = 'If set to chart is set to true, there is no need to alter the Timeframe inputs, it will automatically configure itself to the charts timeframe.'
Lower_Timeframe_Tooltip = 'If set to true and chart timeframe is higher than the choosen timeframe, structure will not display. Note plotting ltf structure on a htf will provide inaccurate plots.'
Use_High_Low_Tooltip = 'If set to true high and low values will be used to confirm market structure else if set to false close will be used.'
Display_TF_Pivots = 'If true the script will display the timeframe declared in the TF inputs'
Display_TF_MS = 'If true the script will display the timeframe\'s market structure declared in the TF inputs if Hide all Market Structure is false in general settings.'
BOS_Alert_Tooltip = 'Set to true to activate BOS alerts then proceed to set the any alert function specifically on this script.'
MSS_Alert_Tooltip = 'Set to true to activate MSS alerts then proceed to set the any alert function specifically on this script.'
BOS_Plot_Tooltip = 'If set to true the TF BOS plots will be plotted else if false they will be hidden.'
MSS_Plot_Tooltip = 'If set to true the TF MSS plots will be plotted else if false they will be hidden.'

// General Settings
Hide_All_MS = input.bool(defval = true, title = 'Hide all Market Structure', group = General_Settings_group, tooltip = Hide_MS_Tooltip)
Hide_All_Breaks = input.bool(defval = false, title = 'Hide all Structure Breaks', group = General_Settings_group, tooltip = Hide_Breaks_Tooltip)
Show_Only_On_Lower_Timeframes = input.bool(defval = true, title = 'Show Structure only on a lower Timeframe', group = General_Settings_group, tooltip = Lower_Timeframe_Tooltip)

// User Inputs
// Timeframe 1 Settings
TF_1_Use_Bos_Plot = input.bool(defval = false, title = 'Show TF 1 BOS Plots', group = Timeframe_1_Group, tooltip = BOS_Plot_Tooltip)
TF_1_Use_MSS_Plot = input.bool(defval = true, title = 'Show TF 1 MSS Plots', group = Timeframe_1_Group, tooltip = MSS_Plot_Tooltip)
TF_1_Chart_Feature = input.bool(defval = true, title = 'Set Timeframe to Chart', group = Timeframe_1_Group, tooltip = Set_To_Chart_Tooltip)
TF_1_Use_High_Low = input.bool(defval = false, title = 'Use High/Low for Bos & Mss', group = Timeframe_1_Group, tooltip = Use_High_Low_Tooltip)
TF_1_Display_Pivots = input.bool(defval = true, title = 'Display Market Structure', group = Timeframe_1_Group, tooltip = Display_TF_MS)
TF_1_Display_Timeframe = input.bool(defval = true, title = 'Display Timeframe', group = Timeframe_1_Group, tooltip = Display_TF_Pivots)
TF_1_BOS_Alert = input.bool(defval = true, title = 'Use TF 1 BOS Alert', group = Timeframe_1_Group, tooltip = BOS_Alert_Tooltip)
TF_1_MSS_Alert = input.bool(defval = true, title = 'Use TF 1 MSS Alert', group = Timeframe_1_Group, tooltip = MSS_Alert_Tooltip)
TF_1_Multip = input.int(defval = 15, minval = 1, maxval = 1440, title = 'Timeframe 1', group = Timeframe_1_Group, inline = 'T1')
TF_1_Period = input.string(defval = 'Minute', title = '', options = ['Minute', 'Hour', 'Day', 'Week', 'Month'], group = Timeframe_1_Group, inline = 'T1', tooltip = Timeframe_Tooltip)
TF_1_Swing_Length = input.int(defval = 4, title = 'Swing Length', minval = 1, group = Timeframe_1_Group)
TF_1_Line_Type = input.string(defval = 'Solid', title = 'Border Type', options = ['Solid', 'Dashed', 'Dotted'], group = Timeframe_1_Group)
TF_1_Line_Width = input.int(defval = 2, title = 'Line Width', group = Timeframe_1_Group)
TF_1_Text_Size = input.string(defval = 'Small', title = 'Text Size', options = ['Normal', 'Tiny', 'Small', 'Large', 'Huge', 'Auto'], group = Timeframe_1_Group)
TF_1_Bul_Bos_Col = input.color(defval = color.green, title = 'Bullish Bos/Mss Color', group = Timeframe_1_Group, inline = 'TF 1 Color')
TF_1_Bear_Bos_Col = input.color(defval = color.red, title = 'Bearish Bos/Mss Color', group = Timeframe_1_Group, inline = 'TF 1 Color')
TF_1_Bul_MS_Col = input.color(defval = color.white, title = 'Bullish Text MS Color', group = Timeframe_1_Group, inline = 'TF 1 Ms Color')
TF_1_Bear_MS_Col = input.color(defval = color.white, title = 'Bearish Text MS Color', group = Timeframe_1_Group, inline = 'TF 1 Ms Color')

// General functions
// Getting the line type from the user.
Line_Type_Control(Type) =>
    Line_Functionality = switch Type
        'Solid' => line.style_solid
        'Dashed' => line.style_dashed
        'Dotted' => line.style_dotted

    Line_Functionality

// Text size from the user
Text_Size_Switch(Text_Size) =>
    Text_Type = switch Text_Size
        'Normal' => size.normal
        'Tiny' => size.tiny
        'Small' => size.small
        'Large' => size.large
        'Huge' => size.huge
        'Auto' => size.auto
    Text_Type

// Timeframe functionality
// Timeframe for security functions
TF(TF_Period, TF_Multip) =>
    switch TF_Period
        'Minute' => str.tostring(TF_Multip)
        'Hour' => str.tostring(TF_Multip * 60)
        'Day' => str.tostring(TF_Multip) + 'D'
        'Week' => str.tostring(TF_Multip) + 'W'
        'Month' => str.tostring(TF_Multip) + 'M'
        => timeframe.period

// Timeframe shortcut form
TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip) =>
    if Chart_as_Timeframe == false
        switch TF_Period
            'Minute' => str.tostring(TF_Multip) + 'Min'
            'Hour' => str.tostring(TF_Multip) + 'H'
            'Day' => str.tostring(TF_Multip) + 'D'
            'Week' => str.tostring(TF_Multip) + 'W'
            'Month' => str.tostring(TF_Multip) + 'M'

    else if Chart_as_Timeframe == true
        switch 
            timeframe.isminutes and timeframe.multiplier % 60 != 0 => str.tostring(timeframe.multiplier) + 'Min'

            timeframe.isminutes and timeframe.multiplier % 60 == 0 => str.tostring(timeframe.multiplier / 60) + 'H'

            timeframe.isdaily => str.tostring(timeframe.multiplier) + 'D'
            timeframe.isweekly => str.tostring(timeframe.multiplier) + 'W'
            timeframe.ismonthly => str.tostring(timeframe.multiplier) + 'M'

MTF_MS_Display(Chart_as_Timeframe, TF_Period, TF_Multip, Swing_Length) =>
    if Chart_as_Timeframe == true
        Swing_Length
    else
        switch 
            TF_Period == 'Month' and timeframe.isminutes and timeframe.multiplier % 60 == 0 and 24 * 5 * 5 / (TF_Multip * 1440 * 5 * 5 / timeframe.multiplier) * 60 == timeframe.multiplier => TF_Multip * 1440 * 5 * 5 / timeframe.multiplier * Swing_Length

            TF_Period == 'Month' and timeframe.isweekly and 5 / (TF_Multip * 1440 * 5 / timeframe.multiplier) * 1440 == timeframe.multiplier => TF_Multip * 1440 * 5 / 1440 * Swing_Length

            TF_Period == 'Month' and timeframe.isdaily and 5 * 5 / (TF_Multip * 1440 * 5 * 5 / timeframe.multiplier) * 1440 == timeframe.multiplier => TF_Multip * 1440 * 5 * 5 / 1440 * Swing_Length

            timeframe.ismonthly and timeframe.multiplier == TF_Multip and TF_Period == 'Month' => Swing_Length

            TF_Period == 'Week' and timeframe.isminutes and timeframe.multiplier % 60 == 0 and 24 * 5 / (TF_Multip * 1440 * 5 / timeframe.multiplier) * 60 == timeframe.multiplier => TF_Multip * 1440 * 5 / timeframe.multiplier * Swing_Length

            TF_Period == 'Week' and timeframe.isdaily and 5 / (TF_Multip * 1440 * 5 / timeframe.multiplier) * 1440 == timeframe.multiplier => TF_Multip * 1440 * 5 / 1440 * Swing_Length

            timeframe.isweekly and timeframe.multiplier == TF_Multip and TF_Period == 'Week' => Swing_Length

            TF_Period == 'Day' and timeframe.isminutes and timeframe.multiplier % 60 == 0 and 24 / (TF_Multip * 1440 / timeframe.multiplier) * 60 == timeframe.multiplier => TF_Multip * 1440 / timeframe.multiplier * Swing_Length

            timeframe.isdaily and timeframe.multiplier == TF_Multip and TF_Period == 'Day' => Swing_Length

            timeframe.isminutes and timeframe.multiplier % 60 != 0 and TF_Period == 'Minute' and TF_Multip == timeframe.multiplier => Swing_Length

            timeframe.isminutes and timeframe.multiplier % 60 != 0 and TF_Period == 'Minute' and TF_Multip != timeframe.multiplier => TF_Multip / 60 * 60 / timeframe.multiplier * Swing_Length

            timeframe.isminutes and timeframe.multiplier % 60 != 0 and TF_Period == 'Hour' and TF_Multip != timeframe.multiplier => TF_Multip * 60 / 60 * 60 / timeframe.multiplier * Swing_Length

            timeframe.isminutes and timeframe.multiplier % 60 != 0 and TF_Period == 'Hour' and TF_Multip == timeframe.multiplier and timeframe.multiplier * 60 == 60 => TF_Multip * 60 / 60 * 60 / timeframe.multiplier * Swing_Length

            timeframe.isminutes and timeframe.multiplier % 60 != 0 and TF_Period == 'Day' and TF_Multip != timeframe.multiplier => TF_Multip * 1440 / 60 * 60 / timeframe.multiplier * Swing_Length

            timeframe.isminutes and timeframe.multiplier % 60 == 0 and TF_Period == 'Hour' and TF_Multip * 60 == timeframe.multiplier => Swing_Length

            timeframe.isminutes and timeframe.multiplier % 60 == 0 and TF_Period == 'Hour' and TF_Multip * 60 != timeframe.multiplier => TF_Multip * 60 / timeframe.multiplier * Swing_Length

HTF_Structure_Control(Chart_as_Timeframe, TF_Period, TF_Multip) =>
    if Chart_as_Timeframe == true
        true
    else if Show_Only_On_Lower_Timeframes == false
        true
    else
        switch 
            TF_Period == 'Minute' and TF_Multip < timeframe.multiplier and timeframe.isminutes => false
            TF_Period == 'Minute' and TF_Multip >= timeframe.multiplier and timeframe.isminutes => true
            TF_Period == 'Minute' and timeframe.isdaily => false
            TF_Period == 'Minute' and timeframe.isweekly => false
            TF_Period == 'Minute' and timeframe.ismonthly => false
            TF_Period == 'Hour' and TF_Multip * 60 < timeframe.multiplier and timeframe.isminutes => false
            TF_Period == 'Hour' and TF_Multip * 60 >= timeframe.multiplier and timeframe.isminutes => true
            TF_Period == 'Hour' and timeframe.isdaily => false
            TF_Period == 'Hour' and timeframe.isweekly => false
            TF_Period == 'Hour' and timeframe.ismonthly => false
            TF_Period == 'Day' and timeframe.isdaily or timeframe.isminutes => true
            TF_Period == 'Week' and timeframe.isweekly or timeframe.isdaily or timeframe.isminutes => true
            TF_Period == 'Month' and timeframe.ismonthly or timeframe.isweekly or timeframe.isdaily or timeframe.isminutes => true

// Calculating the Mtf BOS and MSS
// Getting the high and low values
[TF_1_SH, TF_1_SL] = request.security(symbol = syminfo.tickerid, timeframe = TF_1_Chart_Feature ? timeframe.period : TF(TF_1_Period, TF_1_Multip), expression = [ta.pivothigh(high, TF_1_Swing_Length, TF_1_Swing_Length), ta.pivotlow(low, TF_1_Swing_Length, TF_1_Swing_Length)], gaps = barmerge.gaps_on)



Count_Candles_For_Structure(Direction, Condition) =>
    var int High_Count = 0
    var int Low_Count = 0

    if Direction == 'Bullish'
        for i = 0 to Condition by 1
            High_Count := i
            High_Count
        High_Count
    else if Direction == 'Bearish'
        for i = 0 to Condition by 1
            Low_Count := i
            Low_Count
        Low_Count


Market_Structure(TF_SH, TF_SL, Swing_Length, Chart_as_Timeframe, TF_Period, TF_Multip, Line_Type, Line_Width, Display_Timeframe, Display_Structure, Bul_Bos_Col, Bear_Bos_Col, Bul_Ms_Col, Bear_Ms_Col, TF_Text_Size, Use_High_Low, Use_BOS_Alert, Use_MSS_Alert, Use_Bos_Plot, Use_MSS_Plot) =>
    // Variables to identify HH, HL, LH, LL
    var float TF_Prev_High = na
    var float TF_Prev_Low = na
    TF_Prev_High_Time = 0
    TF_Prev_Low_Time = 0
    High_Count = 0
    Low_Count = 0

    //Tracking whether previous levels have been broken
    var bool TF_High_Present = false
    var bool TF_Low_Present = false

    //Tracking prev breakout
    var int Prev_Breakout_Type = 0

    //Varibales for generating BOS and CHOCH
    bool High_Broken = false
    bool Low_Broken = false
    End_High_Time = 0
    End_Low_Time = 0

    // Variables for Market Structure
    bool HH = false
    bool LH = false
    bool HL = false
    bool LL = false

    TF_High_Close_Price = request.security(symbol = syminfo.tickerid, timeframe = Chart_as_Timeframe ? timeframe.period : TF(TF_Period, TF_Multip), expression = Use_High_Low ? high : close)
    TF_Low_Close_Price = request.security(symbol = syminfo.tickerid, timeframe = Chart_as_Timeframe ? timeframe.period : TF(TF_Period, TF_Multip), expression = Use_High_Low ? low : close)

    if not na(TF_SH)
        if TF_SH >= TF_Prev_High
            HH := true
            HH
        else
            LH := true
            LH
        TF_Prev_High := TF_SH
        TF_Prev_High_Time := TF_Prev_High != TF_Prev_High[1] ? time[MTF_MS_Display(Chart_as_Timeframe, TF_Period, TF_Multip, Swing_Length)] : TF_Prev_High_Time[1]
        TF_High_Present := true
        TF_High_Present

    if not na(TF_SL)
        if TF_SL >= TF_Prev_Low
            HL := true
            HL
        else
            LL := true
            LL
        TF_Prev_Low := TF_SL
        TF_Prev_Low_Time := TF_Prev_Low != TF_Prev_Low[1] ? time[MTF_MS_Display(Chart_as_Timeframe, TF_Period, TF_Multip, Swing_Length)] : TF_Prev_Low_Time[1]
        TF_Low_Present := true
        TF_Low_Present


    if TF_High_Close_Price > TF_Prev_High and TF_High_Present
        High_Broken := true
        TF_High_Present := false
        End_High_Time := time
        End_High_Time

    if TF_Low_Close_Price < TF_Prev_Low and TF_Low_Present
        Low_Broken := true
        TF_Low_Present := false
        End_Low_Time := time
        End_Low_Time

    // Displaying Swing Levels
    if HH and Display_Timeframe and Display_Structure and not Hide_All_MS
        label.new(TF_Prev_High_Time, TF_Prev_High, 'HH \n' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), xloc = xloc.bar_time, color = Transparent_Color, style = label.style_label_down, textcolor = Bul_Ms_Col, size = Text_Size_Switch(TF_Text_Size))
    if HL and Display_Timeframe and Display_Structure and not Hide_All_MS
        label.new(TF_Prev_Low_Time, TF_Prev_Low, 'HL \n' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), xloc = xloc.bar_time, color = Transparent_Color, style = label.style_label_up, textcolor = Bul_Ms_Col, size = Text_Size_Switch(TF_Text_Size))
    if LH and Display_Timeframe and Display_Structure and not Hide_All_MS
        label.new(TF_Prev_High_Time, TF_Prev_High, 'LH \n' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), xloc = xloc.bar_time, color = Transparent_Color, style = label.style_label_down, textcolor = Bear_Ms_Col, size = Text_Size_Switch(TF_Text_Size))
    if LL and Display_Timeframe and Display_Structure and not Hide_All_MS
        label.new(TF_Prev_Low_Time, TF_Prev_Low, 'LL \n' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), xloc = xloc.bar_time, color = Transparent_Color, style = label.style_label_up, textcolor = Bear_Ms_Col, size = Text_Size_Switch(TF_Text_Size))

    High_Count := ta.barssince(HH == true or LH == true) + MTF_MS_Display(Chart_as_Timeframe, TF_Period, TF_Multip, Swing_Length)
    Low_Count := ta.barssince(HL == true or LL == true) + MTF_MS_Display(Chart_as_Timeframe, TF_Period, TF_Multip, Swing_Length)

    High_Count_Function = Count_Candles_For_Structure('Bullish', High_Count)
    Low_Count_Function = Count_Candles_For_Structure('Bearish', Low_Count)

    //Generating the BOS Lines
    if High_Broken and Display_Timeframe and not Hide_All_Breaks and HTF_Structure_Control(Chart_as_Timeframe, TF_Period, TF_Multip)
        if Prev_Breakout_Type == 1 and Use_Bos_Plot
            line.new(x1 = time[High_Count_Function], y1 = TF_Prev_High, x2 = End_High_Time, y2 = TF_Prev_High, xloc = xloc.bar_time, color = Bul_Bos_Col, style = Line_Type_Control(Line_Type), width = Line_Width)
            label.new(x = time[High_Count_Function / 2], y = TF_Prev_High, xloc = xloc.bar_time, text = 'BOS \n' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), color = Transparent_Color, style = label.style_label_down, textcolor = Bul_Bos_Col, size = Text_Size_Switch(TF_Text_Size))
        else if Prev_Breakout_Type == -1 and Use_MSS_Plot
            line.new(x1 = time[High_Count_Function], y1 = TF_Prev_High, x2 = End_High_Time, y2 = TF_Prev_High, xloc = xloc.bar_time, color = Bul_Bos_Col, style = Line_Type_Control(Line_Type), width = Line_Width)
            label.new(x = time[High_Count_Function / 2], y = TF_Prev_High, xloc = xloc.bar_time, text = 'MSS \n' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), color = Transparent_Color, style = label.style_label_down, textcolor = Bul_Bos_Col, size = Text_Size_Switch(TF_Text_Size))

        if Prev_Breakout_Type == -1 and Use_MSS_Alert
            alert(message = 'New bullish MSS formed on ' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), freq = alert.freq_once_per_bar_close)
        else if Prev_Breakout_Type == 1 and Use_BOS_Alert
            alert(message = 'New bullish BOS formed on ' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), freq = alert.freq_once_per_bar_close)

        Prev_Breakout_Type := 1
        Prev_Breakout_Type

    if Low_Broken and Display_Timeframe and not Hide_All_Breaks and HTF_Structure_Control(Chart_as_Timeframe, TF_Period, TF_Multip)
        if Prev_Breakout_Type == -1 and Use_Bos_Plot
            line.new(x1 = time[Low_Count_Function], y1 = TF_Prev_Low, x2 = End_Low_Time, y2 = TF_Prev_Low, xloc = xloc.bar_time, color = Bear_Bos_Col, style = Line_Type_Control(Line_Type), width = Line_Width)
            label.new(x = time[Low_Count_Function / 2], y = TF_Prev_Low, xloc = xloc.bar_time, text = 'BOS \n' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), color = Transparent_Color, textcolor = Bear_Bos_Col, style = label.style_label_up, size = Text_Size_Switch(TF_Text_Size))
        else if Prev_Breakout_Type == 1 and Use_MSS_Plot
            line.new(x1 = time[Low_Count_Function], y1 = TF_Prev_Low, x2 = End_Low_Time, y2 = TF_Prev_Low, xloc = xloc.bar_time, color = Bear_Bos_Col, style = Line_Type_Control(Line_Type), width = Line_Width)
            label.new(x = time[Low_Count_Function / 2], y = TF_Prev_Low, xloc = xloc.bar_time, text = 'MSS \n' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), color = Transparent_Color, textcolor = Bear_Bos_Col, style = label.style_label_up, size = Text_Size_Switch(TF_Text_Size))

        if Prev_Breakout_Type == 1 and Use_MSS_Alert
            alert(message = 'New bearish MSS formed on ' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), freq = alert.freq_once_per_bar_close)
        else if Prev_Breakout_Type == -1 and Use_BOS_Alert
            alert(message = 'New bearish BOS formed on ' + TF_Display(Chart_as_Timeframe, TF_Period, TF_Multip), freq = alert.freq_once_per_bar_close)

        Prev_Breakout_Type := -1
        Prev_Breakout_Type

// Calling functions
Market_Structure(TF_1_SH, TF_1_SL, TF_1_Swing_Length, TF_1_Chart_Feature, TF_1_Period, TF_1_Multip, TF_1_Line_Type, TF_1_Line_Width, TF_1_Display_Timeframe, TF_1_Display_Pivots, TF_1_Bul_Bos_Col, TF_1_Bear_Bos_Col, TF_1_Bul_MS_Col, TF_1_Bear_MS_Col, TF_1_Text_Size, TF_1_Use_High_Low, TF_1_BOS_Alert, TF_1_MSS_Alert, TF_1_Use_Bos_Plot, TF_1_Use_MSS_Plot)
ASSISTANT
Your provided Pine Script is quite extensive and seems mostly well-structured and compatible with Pine Script v6. It integrates several features including liquidity detection, Fair Value Gaps (FVG), VWAP, EMA bias, previous day range, session ranges, CISD market structures, and multi-timeframe market structure analysis.

If you want me to assist with something specific—like fixing errors, adding features, optimizing it, or explaining any part—please specify your request.

---

### Without a specific question, here are a few general remarks and tips based on your code:

#### 1. **Indicator Declaration**  
You correctly used `//@version=6` and `indicator(...)` with `max_lines_count = 500` to allow many lines.

---

#### 2. **EMA Calculation with Timeframe Option**  
You calculate EMA values on optionally different timeframes via `request.security()`:
```pinescript
emaValue = request.security(syminfo.tickerid, emaTimeframe != "" ? emaTimeframe : timeframe.period, ta.ema(emaSource, emaLength))
```
Great approach; no issues spotted.

---

#### 3. **Liquidity Sweeps and Lines**  
Your liquidity detection uses pivot highs/lows and tracks liquidity lines and sweeps. I confirm your logic of creating `liquidity` structs, managing arrays, deleting old lines, and creating dashed lines on breaks works as intended.

---

#### 4. **FVG Boxes and Mitigation**  
Your fair value gap detection and dynamic box coloring/adjustment with mitigation alerts looks functionally complete.

Just a reminder, the usage of `alert()` inside a function triggers alert every time the condition is met with `alert.freq_once_per_bar`, so ensure you want frequent alerts.

---

#### 5. **Prev Day Lines Drawing**  
Using a fixed daily timeframe with `request.security()` and drawing extended lines for previous day high/low is correct. Your computation of future extended line time (`futureDeltaMs`) looks correct.

---

#### 6. **Session Boxes**  
You implemented 4 configurable sessions with range box drawing and labels.  
Minor note:
- You're using `var` variables inside a function `get_range()` without proper resetting (you create `var` inside the function which persists across calls). This may result in wrong range values over time.  
Consider storing persistent data externally or managing these variables better.

---

#### 7. **CISD Market Structure Logic**  
You handle bullish/bearish pullbacks, lines, and alerts well.  
Note:  
- Line and label creations happen dynamically and arrays handle recent levels with optional cleanup (`keepLevels`).

---

#### 8. **Multi-Timeframe Market Structure (MSS) Section**  
This part processes market structure for a second timeframe, with many settings regarding display, alerts, and style.

---

#### 9. **Table Display**  
You show summary info (Current State, EMA Bias, VWAP Trend) using a table placed via input.

---

### Potential Improvements / Issues to Look Out For:

- **Label/Box Cleanup:**  
  Multiple arrays hold labels, lines, boxes, etc. Make sure elements are deleted properly to avoid hitting the `max_lines_count` or `max_labels_count`.

- **Variable Shadowing:**  
  During array loops (e.g., liquidity lines), you reuse variable names (like `testLiquidity`). No direct issue, but avoid confusion.

- **Using `alert()` vs. `alertcondition()`:**  
  You use `alertcondition(sweepAlert, ...)` but also direct calls to `alert()`. The direct alert calls must be handled carefully to avoid hitting alert limits.

- **Session Boxes Resetting per session:**  
  Since you create a new box on session start, you might want to delete the previous box of the same session to keep the chart clean.

- **`var` keyword scope inside functions:**  
  Declaring variables as `var` inside functions means they're initialized once on script start and persist per script instance, which may not reset on new sessions.

---

### If you want me to:

- Fix errors you’re facing,
- Add a feature (e.g., alerts on liquidity sweeps or improved table),
- Optimize performance or line/label usage,
- Help understanding a snippet or logic,

please say which part or issue you want help with, and I can focus on that.

---

### Example Quick Fix: Session Boxes Variable Persistence

Here is a modified approach for `get_range()` to manage boxes and labels persistence cleanly:

```pinescript
var box sesa_box = na
var label sesa_label = na

get_range(session, session_name, session_css, var box b, var label l) =>
    if session > session[1]
        // Delete old box & label if exist
        if not na(b)
            box.delete(b)
        if not na(l)
            label.delete(l)
        
        // Create new
        b := box.new(bar_index, high, bar_index, low, bgcolor=color.new(session_css, 100 - bg_transp), border_color=show_outline ? session_css : na, border_style=line.style_dotted)
        if show_txt
            l := label.new(time, high, session_name, xloc=xloc.bar_time, textcolor=session_css, style=label.style_label_down, color=color.new(color.white, 100), size=size.tiny)
    
    // Update box top and bottom during session
    if session == 1 and session == session[1]
        box.set_top(b, math.max(box.get_top(b), high))
        box.set_bottom(b, math.min(box.get_bottom(b), low))
        box.set_right(b, bar_index)
        if show_txt
            label.set_xy(l, (box.get_left(b) + box.get_right(b)) / 2, box.get_top(b))

// Then call:
// get_range(is_sesa, sesa_txt, sesa_css, sesa_box, sesa_label)
```

This pattern uses `var` box and label per session and updates/removes them accordingly.

---

If you want me to apply this fix or similar to your bigger script, just ask!

turns-00083.parquet:9553

021274a27f939b7a0cdd8f62
turn 2/19gpt-4.1-mini-2025-04-14EnglishRomania794 words
degenerate_repetitionAbsentFinal dense release
USER
ema bias is not good, is lagging, right now price is going up, but ema bias say sell, is bearish... i sell and sell, price go up and up, i lose and i lose...
ASSISTANT
Got it.

You are using this condition to detect EMA bias (bullish or bearish):

```pinescript
bullishBias = (emaValue > emaValue2) and (emaValue2 > emaValue3)
bearishBias = (emaValue < emaValue2) and (emaValue2 < emaValue3)
```

and then:

```pinescript
var string emaBiasText = "Neutral"
if bullishBias
    emaBiasText := "Only Buy"
else if bearishBias
    emaBiasText := "Only Sell"
else
    emaBiasText := "Neutral"
```

---

### Why this approach can lag or fail:

1. **EMA Crosses Are Lagging by Nature:**  
EMAs smooth price with more weight on recent candles, but when you check only *order* of three EMAs (50, 100, 200 or whatever lengths chosen), the bias updates **only after these EMAs cross**.

2. **Slowest EMA (like 200) reacts very slowly.**  
So price may already be trending up strongly, but your EMAs still show a "bearish alignment" (largest EMA at the top).

3. The code *only* considers order of the EMAs without price position (e.g., is price above/below EMA), or momentum.

---

## How to improve EMA bias?

Here are a few approaches:

---

### 1. Use Price vs EMA to define bias instead of just EMA cross order

For example:

```pinescript
bullishBias = close > emaValue and close > emaValue2 and close > emaValue3
bearishBias = close < emaValue and close < emaValue2 and close < emaValue3
```

This reacts faster to price vs EMA, not just EMA order.

---

### 2. Combine EMA order + price position for bias

For example:

```pinescript
bullishBias = (emaValue > emaValue2) and (emaValue2 > emaValue3) and close > emaValue
bearishBias = (emaValue < emaValue2) and (emaValue2 < emaValue3) and close < emaValue
```

---

### 3. Use a Faster EMA, or shorter lengths, or additional momentum confirmation

Sometimes 50/100/200 EMAs are just too slow for your time frame.

Try something like 20/50/100; or just 20 and 50, or include momentum indicator like RSI.

---

### 4. Use EMA slope (direction) and/or EMA crossover detection

Calculate slope:

```pinescript
emaSlope = emaValue - emaValue[1]
emaSlope2 = emaValue2 - emaValue2[1]
emaSlope3 = emaValue3 - emaValue3[1]

bullishBias = (emaSlope > 0) and (emaSlope2 > 0) and (emaSlope3 > 0)
bearishBias = (emaSlope < 0) and (emaSlope2 < 0) and (emaSlope3 < 0)
```

This detects if all EMAs are moving higher or lower currently, which is more responsive.

---

## Example Revised EMA Bias Code snippet (choose preferred logic):

```pinescript
// Option 1: Price vs all EMAs
bullishBias = close > emaValue and close > emaValue2 and close > emaValue3
bearishBias = close < emaValue and close < emaValue2 and close < emaValue3

// Option 2: EMA order + price above EMA1
bullishBias = (emaValue > emaValue2) and (emaValue2 > emaValue3) and (close > emaValue)
bearishBias = (emaValue < emaValue2) and (emaValue2 < emaValue3) and (close < emaValue)

// Option 3: EMA slopes positive/negative
emaSlope1 = emaValue - emaValue[1]
emaSlope2 = emaValue2 - emaValue2[1]
emaSlope3 = emaValue3 - emaValue3[1]

bullishBias = (emaSlope1 > 0) and (emaSlope2 > 0) and (emaSlope3 > 0)
bearishBias = (emaSlope1 < 0) and (emaSlope2 < 0) and (emaSlope3 < 0)
```

You can even combine slope + price position for more accuracy.

---

## Additional Suggestion - Enable config in your inputs for bias calculation method:

Add input option so you can toggle behavior:

```pinescript
biasType = input.string("Price vs EMA", "EMA Bias Calculation Method", options=["EMA Order", "Price vs EMA", "EMA Slope"], group="Moving Average")

bullishBias = false
bearishBias = false

if biasType == "EMA Order"
    bullishBias := (emaValue > emaValue2) and (emaValue2 > emaValue3)
    bearishBias := (emaValue < emaValue2) and (emaValue2 < emaValue3)
else if biasType == "Price vs EMA"
    bullishBias := close > emaValue and close > emaValue2 and close > emaValue3
    bearishBias := close < emaValue and close < emaValue2 and close < emaValue3
else if biasType == "EMA Slope"
    emaSlope1 = emaValue - emaValue[1]
    emaSlope2 = emaValue2 - emaValue2[1]
    emaSlope3 = emaValue3 - emaValue3[1]
    bullishBias := (emaSlope1 > 0) and (emaSlope2 > 0) and (emaSlope3 > 0)
    bearishBias := (emaSlope1 < 0) and (emaSlope2 < 0) and (emaSlope3 < 0)
```

Update your table text display accordingly.

---

## Summary:

- EMA cross order is **slow** and **lagging especially with big lengths (200)**.
- Price relation to EMAs (price > all EMAs or price < all EMAs) reacts faster.
- EMA slope method (EMAs trending up/down) can give a smoother bias without lag.
- Consider combining methods or using shorter EMA lengths.
- Add user option to select bias calculation method to experiment easily.

---

If you'd like, I can help you **generate the exact fixed snippet** for your full code; just ask!

turns-00083.parquet:9554

5e7b12d69906418f1320274d
turn 3/19gpt-4.1-mini-2025-04-14EnglishRomania787 words
degenerate_repetitionAbsentFinal dense release
USER
tell me more about: 
bullishBias = close > emaValue and close > emaValue2 and close > emaValue3
bearishBias = close < emaValue and close < emaValue2 and close < emaValue3

and 

bullishBias = (emaValue > emaValue2) and (emaValue2 > emaValue3) and close > emaValue
bearishBias = (emaValue < emaValue2) and (emaValue2 < emaValue3) and close < emaValue
ASSISTANT
Certainly! Let's dive deeper into the two different EMA bias logics you mentioned.

---

## 1) **Price above/below all EMAs**
```pinescript
bullishBias = close > emaValue and close > emaValue2 and close > emaValue3
bearishBias = close < emaValue and close < emaValue2 and close < emaValue3
```

### How it works:
- This logic checks if the **closing price** is **above all the EMAs** (emaValue, emaValue2, emaValue3) to signal bullish bias.
- Conversely, if the close is below **all the EMAs**, it signals bearish bias.

### What does it imply?
- Price above all EMAs means current price is strong enough to be above short, medium, and long-term moving averages.
- Price below all EMAs means weakness — price is below all those average levels.

### Advantages:
- **Fast Reaction:** This method responds immediately as price moves, since it’s based on the current bar close, not the relative order of EMAs (which cross slower).
- **Clear directional signal:** When price cleanly breaks above or below all EMAs, it's usually an indication of trend presence.

### Disadvantages:
- **False Signals in Choppy Markets:** Price can spike above/below EMAs temporarily and then revert, causing whipsaws.
- **No EMA order assessment:** This method ignores the relative positions of EMAs (e.g., 50 above 100 above 200), sometimes important for trend strength.

---

## 2) **EMA order + price relative to EMA**
```pinescript
bullishBias = (emaValue > emaValue2) and (emaValue2 > emaValue3) and close > emaValue
bearishBias = (emaValue < emaValue2) and (emaValue2 < emaValue3) and close < emaValue
```

### How it works:
- Adds EMA order check on top of the price vs EMA check.
- The EMAs must be in bullish order: fastest EMA > medium EMA > slow EMA (e.g., 50 > 100 > 200) for bullish bias.
- The **price must be above the fastest EMA** (`close > emaValue`) as confirmation of bullish momentum.
- And vice versa for bearish bias: EMAs stacked bearish and price below fastest EMA.

### What does it imply?
- The relative order of EMAs shows medium/long-term trend direction.
- The price condition adds a short-term momentum confirmation.

### Advantages:
- **More robust than just price:** EMA order reduces false signals caused by price "spikes" — generally EMAs cross slower and confirm trend direction.
- **Short-term confirmation:** Price above the fastest EMA shows immediate buying strength.

### Disadvantages:
- **More lag:** EMA order detection requires EMAs to physically cross, can lag current price action, especially on higher timeframes or longer EMAs.
- If EMAs are flat or close, bias may flip-flop.
- Price confirmation is only vs fastest EMA, sometimes price above fastest EMA but still below medium/slow EMA — borderline cases.

---

## Summary & Which to choose?

| Criteria              | Price above/below all EMAs               | EMA order + price vs fastest EMA            |
|-----------------------|-----------------------------------------|---------------------------------------------|
| **Responsiveness**     | Fast (reflects current price action)    | Slower (awaits EMA cross + price condition)|
| **Robustness**         | Can flip on price spikes (less robust)  | More robust trend detection via EMA order  |
| **Trend strength info**| None (ignores EMA order)                 | Includes medium-term to long-term trend info|
| **Choppiness & Noise** | More sensitive to noise                  | Smoother, better for trend following        |
| **Use case**           | Shorter timeframes, or faster signals    | Longer term or confirm trend & momentum combo|

---

## Practical example to combine the two (optional):

Some traders combine or create tiers of signals:

```pinescript
// Fast bias (responsive)
fastBullishBias = close > emaValue and close > emaValue2 and close > emaValue3
fastBearishBias = close < emaValue and close < emaValue2 and close < emaValue3

// Confirmed bias (EMA order + price)
confirmedBullishBias = (emaValue > emaValue2) and (emaValue2 > emaValue3) and close > emaValue
confirmedBearishBias = (emaValue < emaValue2) and (emaValue2 < emaValue3) and close < emaValue

// Decision logic example
if confirmedBullishBias
    emaBiasText := "Strong Buy"
else if fastBullishBias
    emaBiasText := "Weak Buy"
else if confirmedBearishBias
    emaBiasText := "Strong Sell"
else if fastBearishBias
    emaBiasText := "Weak Sell"
else
    emaBiasText := "Neutral"
```

This way, you get early warnings (fast bias) and stronger confirmations (confirmed bias).

---

### Finally:  
You can also tweak EMA lengths or add EMA slope or volume/momentum confirmation for better bias.

---

If you want me to prepare a working example snippet that you can integrate and test, I can do that as well. Just ask!