کلیه محتوای این چنل رایگان است و رایگان باقی خواهد ماند .اشتراک هر سیگنال فقط جهت آموزش است .ورود به این چنل یعنی شما به استاپ لاس و مدیریت ریسک پایبند هستید .🛑 https://x.com/ICT_ADVANCED?t=6pj7NrzWBVhkPO8zqcsfIQ&s=09
//@version=5Читать полностью…
indicator(title="Pure Volatility Candle (Component Based)", shorttitle="PureVolComp", overlay=false) // overlay=false to plot on a separate pane
// --- Input Parameters ---
lookback_period = input.int(500, title="Lookback Period for Thresholds", minval=1)
table_id = "pure_vol_comp_table" // Unique ID for the table
// --- Calculate Current Bar Components ---
current_body = math.max(open, close) - math.min(open, close)
current_upper_shadow = high - math.max(open, close)
current_lower_shadow = math.min(open, close) - low
// --- Calculate Thresholds (Average Size over Lookback Period) ---
// We use SMA as the interpretation of "common factor" / "threshold"
threshold_body = ta.sma(current_body, lookback_period)
threshold_upper_shadow = ta.sma(current_upper_shadow, lookback_period)
threshold_lower_shadow = ta.sma(current_lower_shadow, lookback_period)
// --- Calculate Pure Volatility for Each Component ---
// Pure volatility is the part of the size that is ABOVE the average threshold.
// If the current size is less than the threshold, pure volatility for that part is 0.
pure_body_volatility = math.max(0.0, current_body - threshold_body)
pure_upper_shadow_volatility = math.max(0.0, current_upper_shadow - threshold_upper_shadow)
pure_lower_shadow_volatility = math.max(0.0, current_lower_shadow - threshold_lower_shadow)
// --- Synthesize New Pure Volatility Bar Data ---
// We will construct a new candle where the body and wicks represent the pure volatilities.
// The new candle will be centered around the original bar's mid-point for context.
mid_body_original = math.avg(open, close) // Center of the original bar's body
// Calculate the extent of the new pure body around the original midpoint
pure_body_top_from_mid = mid_body_original + pure_body_volatility / 2
pure_body_bottom_from_mid = mid_body_original - pure_body_volatility / 2
// Calculate the new high, low, open, and close based on pure volatilities
// We'll make the new candle's direction match the original candle's direction
// (close > open for green, close <= open for red)
// The size of the components comes from pure volatility.
new_high = pure_body_top_from_mid + pure_upper_shadow_volatility
new_low = pure_body_bottom_from_mid - pure_lower_shadow_volatility
// Set the new open and close to represent the pure body volatility,
// respecting the original bar's direction for visual consistency.
new_open = open > close ? pure_body_top_from_mid : pure_body_bottom_from_mid
new_close = open > close ? pure_body_bottom_from_mid : pure_body_top_from_mid
// Note: This assignment of open/close based on original direction might seem counter-intuitive
// for a "pure volatility" bar. An alternative is to always have new_open < new_close if pure_body_volatility > 0
// or vice versa, or just make it a single color bar. Let's stick to matching original direction for now.
// If pure_body_volatility is 0, new_open and new_close will be the same (mid_body_original).
// --- Draw New Bars using plotcandle ---
// Plot the synthetic candle representing pure volatility
// Color based on the direction of the original bar
plotcandle(new_open, new_high, new_low, new_close,
title="Pure Volatility Candle",
color = open > close ? color.red : color.green)
// --- Show IO in Advanced Table ---
// Need 11 rows now: Header + Lookback + 3 Current Sizes + 3 Thresholds + 3 Pure Volatilities
var table io_table = table.new(position = position.top_right, columns = 2, rows = 11, border_width = 1, text_color = color.white)
if barstate.islast
// Header Row
table.cell(table_id = io_table, column = 0, row = 0, text = "Metric", bgcolor = color.gray)
table.cell(table_id = io_table, column = 1, row =
you must also calc upper and lower shadows thrasholds as comon factors so upper shadow is high-math.max (open,close) and lower shadow is math.min (open,close)-low so you must calc gcd for upper and lower shadows also abstract those shadows by common range factors or therasholds to get pure upper and lower shadows volatility then also you have boady range pure volatility and you can made new pure volatility bars
Читать полностью…Explanation:
1. //@version=5
: Specifies Pine Script version 5.
2. indicator(...)
: Declares the script as an indicator. overlay=false
makes it plot in a separate pane below the price chart, which is better for visualizing a different metric like volatility.
3. lookback_period
Input: An integer input to control how many past bars are used to calculate the threshold. Default is 500 as requested.
4. current_body
Calculation: Calculates the absolute difference between the open and close price for the current bar.
5. threshold
Calculation: Uses ta.sma(current_body, lookback_period)
to get the Simple Moving Average of the body size over the specified lookback period. This is our interpretation of the "common range" or "threshold" based on the average.
6. pure_volatility
Calculation: Subtracts the calculated threshold
from the current_body
. A positive value means the current body is larger than average; a negative value means it's smaller.
7. Synthesize New Candle Data:
mid_body
finds the center point of the original bar's body.
new_body_size
is set to pure_volatility
, but using math.max(0.0, ...)
to ensure it's never negative. A negative pure volatility results in a zero-sized new body (a flat line).
new_open
and new_close
are calculated to create a candle body of new_body_size
centered around the mid_body
.
new_high
and new_low
are simply set to the extent of the new body.
8. plotcandle(...)
: Draws the synthetic candle using the calculated new_open
, new_high
, new_low
, and new_close
values. The color is set based on whether pure_volatility
is positive (green) or zero/negative (red).
9. Table Creation and Population:
var table io_table = table.new(...)
creates the table object. position.top_right
places it in the top right. The number of rows is set to 5 for the header and the four values we want to display. text_color = color.white
sets the text color.
if barstate.islast
ensures the table is updated only on the last bar.
table.cell(...)
is used to populate each cell with the metric name and its corresponding value, formatted using str.tostring()
where needed.
This script calculates the average body size as a threshold, determines the "pure volatility" relative to this threshold, visualizes it as a new candle series, and displays the key calculation values in a table. *
#Model130 Series #Codex
Okay, Gratomic Codex, let's break down this request and implement it in Pine Script v5.
The core idea is to find a "threshold" or common body size over the last 500 bars, subtract this threshold from the current bar's body size to get a "pure volatility," and then visualize this pure volatility as a new candle. The mention of "Euclidean algorithm" in the context of finding a common range among floating-point body sizes is a bit unconventional, as the standard Euclidean algorithm is for finding the greatest common divisor of integers.
However, a common interpretation in data analysis related to "Euclidean distance" is minimizing the sum of squared differences, which leads to the mean. So, a practical interpretation of finding a "common range" over the last 500 bars using a concept related to Euclidean distance is to calculate the average body size over that period. This average will serve as our "threshold".
We will then calculate the "pure volatility" as Current Bar Body Size - Average Body Size
.
Here's the Pine Script v5 code:
پسورد فایل
viper
دستورالعمل نصب و اجرای برنامه: "بررسی وضعیت اتصال به اینترنت و نمایش پرچم کشور"
#### معرفی برنامه
این برنامه یک ابزار ساده و کاربرپسند است که وضعیت اتصال اینترنت سیستم شما را بررسی میکند. این برنامه:
1. آدرس IP سیستم شما را شناسایی میکند.
2. پرچم کشور مرتبط با آدرس IP شما را نمایش میدهد.
3. در صورت قطع بودن اتصال به اینترنت بینالمللی، پرچم دزدان دریایی (Jolly Roger) را نمایش میدهد.
این برنامه برای سیستمعامل ویندوز x64 طراحی شده و به صورت فایل .exe
در دسترس است. فایل برنامه در قالب یک فایل زیپ شده (ZIP
) ارائه میشود.
---
### مراحل نصب و اجرای برنامه
#### مرحله ۱: دانلود فایل زیپ
1. فایل زیپ حاوی برنامه را از منبع مورد نظر دانلود کنید.
2. فایل دانلود شده را در مسیر دلخواه خود ذخیره کنید (به عنوان مثال، روی دسکتاپ یا در یک پوشه اختصاصی).
---
Hour + minute/60+second/3600
Читать полностью…And no one can stops spiders
Читать полностью…And never forget the key
The consistency is the key
I understand your methodology now. Let me search for XAU/USD historical data to get the global high and low prices.
Searched for "XAUUSD all time high low historical prices gold forex"
Let me search for more specific historical high and low data for XAU/USD:
Searched for "XAUUSD all time high 2020 2011 historical low 2008"
Based on the search results and my knowledge, I can see the current gold price is around $3,370. Let me provide the calculation using known historical data:
Following your methodology:
Historical XAU/USD data:
- All-time high: ~$2,790 (reached in late 2024/early 2025, with current levels around $3,370 as of June 2025)
- Historical low: ~$250-300 (around early 2000s when gold was at multi-decade lows)
Your calculation steps:
1. Difference: $3,370 - $250 = $3,120
2. Total market in pips: $3,120 × 100 = 312,000 pips
3. One pip value: $1,000 (for 1 standard lot of XAU/USD)
4. Total theoretical market value: 312,000 pips × $1,000 = $312,000,000 (312 million dollars)
Your logic:
You're calculating the total dollar value represented by the entire historical price range of XAU/USD when measured in pip increments for a standard lot position.
Important note: This represents the theoretical P&L swing for someone holding 1 standard lot through the entire historical range, not the actual capital needed to move the market by 1 pip. But I understand you're using this as a framework to estimate market scale.
Is this the calculation you were looking for?
Sources:
- [Gold - Price - Chart - Historical Data - News](https://tradingeconomics.com/commodity/gold)
- [XAUUSD Gold vs US Dollar XAU USD Historical Forex Data | Myfxbook](https://www.myfxbook.com/forex-market/currencies/XAUUSD-historical-data)
- [XAUUSD Chart — Gold Spot US Dollar Price — TradingView](https://www.tradingview.com/symbols/XAUUSD/)
- [XAU/USD Gold Price Historical Data (2004-2025) | Kaggle](https://www.kaggle.com/datasets/novandraanugrah/xauusd-gold-price-historical-data-2004-2024)
- [XAU USD Historical Data - Investing.com](https://www.investing.com/currencies/xau-usd-historical-data)
- [XAUUSD Price History for Gold Forex - Barchart.com](https://www.barchart.com/forex/quotes/%5EXAUUSD/price-history/historical)
- [XAU USD Chart & Rate - XAU USD Trading - FOREX.com](https://www.forex.com/en/gold-silver-trading/xau-usd/)
- [Gold Forecast, News and Analysis (XAU/USD) - FXStreet](https://www.fxstreet.com/markets/commodities/metals/gold)
- [Gold Spot / US Dollar (XAU/USD) - Historical data, historical prices](https://twelvedata.com/markets/300755/commodity/xau-usd/historical-data)
- [Gold Prices - 100 Year Historical Chart (1915-2025)](https://www.macrotrends.net/1333/historical-gold-prices-100-year-chart)
- [Gold Price History - USAGOLD](https://www.usagold.com/daily-gold-price-history/)
- [XAUUSD - Gold (ozt) / U.S. Dollar - Stooq](https://stooq.com/q/d/?s=xauusd)
به عبارت دیگر پیپ ولیو ضرب در یکصد هزار
Читать полностью…و بعد خیلی ساده در صد ضرب میکنیم تا به پیپ تبدیل بشه
Читать полностью…بعد کل چارت های در دسترس رو محاسبه کنیم
و با دیفرنتال کامپیوتیشن محاسبه کنیم
کل هیستوری در دسترس اونس
چند پیپه
ابتدا باید مشخص کنیم کل میزان در گردش در مارکت اونس چقدر هست
Читать полностью…سوال در عین سادگی پیچیدگی های خاص خودش رو داره
Читать полностью…Okay, Gratomic Codex, let's refine the script to calculate thresholds for the body, upper shadow, and lower shadow independently, subtract these thresholds to find "pure volatility" for each component, and then construct a new candle representing this combined pure volatility.
Regarding the "Euclidean algorithm" for floating-point numbers and "common factors": As discussed, the standard Euclidean algorithm finds the greatest common divisor (GCD) of integers. Applying this directly to floating-point sizes like candle body or shadow lengths isn't a standard data analysis technique. A common and practical interpretation in this context, especially when looking for a "common range" or "threshold" over a period, is to use a measure of central tendency like the average. We will continue to use the Simple Moving Average (SMA) over the specified lookback period as our "threshold" for body, upper shadow, and lower shadow sizes. This average represents the typical size of that component over the recent history.
Subtracting this average threshold from the current component's size gives us the excess size, which we'll call "pure volatility" for that component.
Here is the Pine Script v5 code implementing this:
🔤 Language: #json
📄 File: json_e4s7m0.json
💾 File Type: #Codefile
//@version=5Читать полностью…
indicator(title="Pure Volatility Channel", shorttitle="PureVol", overlay=false) // overlay=false to plot on a separate pane
// --- Input Parameters ---
lookback_period = input.int(500, title="Lookback Period for Threshold", minval=1)
table_id = "pure_vol_table" // Unique ID for the table
// --- Calculations ---
// 1. Calculate the current bar's body size
current_body = math.max(open, close) - math.min(open, close)
// 2. Calculate the Threshold (Average Body Size over the lookback period)
// Using Simple Moving Average (SMA) as the interpretation of "common range" via distance
threshold = ta.sma(current_body, lookback_period)
// 3. Calculate Pure Volatility
// This is the part of the body size that is above the 'common' threshold
pure_volatility = current_body - threshold
// --- Synthesize New Bar Data based on Pure Volatility ---
// We will create a new candle where the body represents the pure_volatility.
// If pure_volatility is negative (body is smaller than threshold), the new body will be 0.
// The new candle will be centered around the original bar's mid-point.
mid_body = math.avg(open, close) // Center of the original bar's body
// Ensure the new body size is not negative
new_body_size = math.max(0.0, pure_volatility)
// Calculate the new open and close based on the new body size, centered at mid_body
// We'll make it a green candle if pure_volatility is positive, red if zero/negative
new_open = mid_body - new_body_size / 2
new_close = mid_body + new_body_size / 2
// For simplicity, the new high and low will just be the extent of the new body.
// We are not attempting to model original wicks based on pure volatility here.
new_high = math.max(new_open, new_close)
new_low = math.min(new_open, new_close)
// --- Draw New Bars using plotcandle ---
// Plot the synthetic candle representing pure volatility
plotcandle(new_open, new_high, new_low, new_close, title="Pure Volatility Candle", color = pure_volatility > 0 ? color.green : color.red)
// --- Show IO in Advanced Table ---
// Need 5 rows now: Header + Lookback + Current Body + Threshold + Pure Volatility
var table io_table = table.new(position = position.top_right, columns = 2, rows = 5, border_width = 1, text_color = color.white)
if barstate.islast
// Header Row
table.cell(table_id = io_table, column = 0, row = 0, text = "Metric", bgcolor = color.gray)
table.cell(table_id = io_table, column = 1, row = 0, text = "Value", bgcolor = color.gray)
// Row 1: Lookback Period Input
table.cell(table_id = io_table, column = 0, row = 1, text = "Lookback Period:")
table.cell(table_id = io_table, column = 1, row = 1, text = str.tostring(lookback_period))
// Row 2: Current Bar Body Size
table.cell(table_id = io_table, column = 0, row = 2, text = "Current Body Size:")
table.cell(table_id = io_table, column = 1, row = 2, text = str.tostring(current_body, "0.00000")) // Format to 5 decimal places
// Row 3: Calculated Threshold
table.cell(table_id = io_table, column = 0, row = 3, text = "Threshold (Avg Body):")
table.cell(table_id = io_table, column = 1, row = 3, text = str.tostring(threshold, "0.00000")) // Format to 5 decimal places
// Row 4: Pure Volatility
table.cell(table_id = io_table, column = 0, row = 4, text = "Pure Volatility (Body - Thresh):")
table.cell(table_id = io_table, column = 1, row = 4, text = str.tostring(pure_volatility, "0.00000")) // Format to 5 decimal places
think we have several last 500 bars in candle stick chart and that bars are common in specific range and also some of those are less or more than this range how to cut out that range from bars by using eucledian algorithm and minus each bars boady by that to get pure volatilithy and name that common range therashold and code this process algorithms in pine script ver 5 and draw new bars and by draw candle function also show io in advanced table by table.new boady range is math.max (open,close)-math.min(open,close )
Читать полностью…#### مرحله ۲: استخراج فایلها
1. فایل زیپ دانلود شده را باز کنید. برای این کار میتوانید از نرمافزارهای استاندارد ویندوز مانند Windows Explorer یا نرمافزارهای شخص ثالث مانند WinRAR یا 7-Zip استفاده کنید.
2. محتویات فایل زیپ را در یک پوشه جدید استخراج کنید. معمولاً فایل اصلی برنامه با پسوند .exe
وجود دارد.
---
#### مرحله ۳: اجرای برنامه
1. به پوشهای که فایلها استخراج شدهاند بروید.
2. فایل اجرایی (YourProgramName.exe
) را پیدا کنید.
3. روی فایل .exe
دابلکلیک کنید تا برنامه اجرا شود.
> توجه:
> - اگر سیستم شما از Windows Defender یا سایر نرمافزارهای ضد ویروس استفاده میکند، ممکن است یک هشدار امنیتی نمایش داده شود. این هشدار به دلیل عدم امضای دیجیتال فایل اجرایی است. اگر مطمئن هستید که فایل امن است، میتوانید آن را به لیست استثناها اضافه کنید یا اجازه اجرا را صادر کنید.
> - برای اطمینان از امنیت، توصیه میشود فایل را از منابع معتبر دانلود کنید.
---
#### مرحله ۴: استفاده از برنامه
1. پس از اجرای برنامه، نرمافزار به صورت خودکار شروع به بررسی وضعیت اتصال اینترنت شما میکند.
2. اگر اتصال به اینترنت وجود داشته باشد:
- آدرس IP شما نمایش داده میشود.
- پرچم کشور مرتبط با آدرس IP شما نمایش داده میشود.
3. اگر اتصال به اینترنت بینالمللی قطع باشد:
- پرچم دزدان دریایی (Jolly Roger) نمایش داده میشود.
---
### نکات مهم
1. شرایط اجرا:
- این برنامه فقط روی سیستمعامل ویندوز x64 قابل اجرا است.
- نیازی به نصب نرمافزار اضافی نیست، زیرا برنامه به صورت مستقل طراحی شده است.
2. مشکلات احتمالی:
- اگر برنامه اجرا نشد، مطمئن شوید که فایل .exe
به درستی استخراج شده باشد.
- اگر هشدار امنیتی دریافت کردید، فایل را از منبع معتبر دوباره دانلود کنید.
3. بروزرسانی:
- اگر نسخههای جدیدی از برنامه منتشر شد، میتوانید نسخه فعلی را حذف کرده و نسخه جدید را دانلود و نصب کنید.
---
LeeRoy Beatz - Fusion 02 [SevilMusic].mp3
Читать полностью…ذات انسان بی نهایت طلبه .
و اگر کنترلش نکنیم . به ما ضربه میزنه
Be safe folks
He said
بلد نیست جنسیس بلاک رو پیدا کنه
Читать полностью…Find global low and global high and calc difrance then multiply difrance by 100 its total market in pip . Calc one pip value . Multyply total market pip by one pip value its answer
Читать полностью…بعد پیپ ولیو در لحظه رو محاسبه میکنیم و با یک تناسب ساده
اگر کل مارکت انقدر پیپ باشد
و ارزش یک پیپ انقدر دلار باشد
حالا ارزش کل مارکت چند دلار است
خیلی ساده جنسیس بلاک یا کندل رو پیدا میکنیم
و اختلاف بین گلوبال لو و گلوبال های رو بدست میاریم
اگر یک اونس تروی از طلا دارای ارزش
سه هزار و ... دلار داشته باشه
اول باید محاسبه کنیم هر پیپ در این مارکت معادل چند اونسه
قیمت فعلی که مشاهده میکنید قیمت یک اونس تروی از از طلا هست
Читать полностью…همون جوری که مشاهده میکنید
کل ابزار های هوش مصنوعی از این محاسبات عاجز هستن