SCN - Contagem de CandlesSCN is used to number the candles, from the current candle to the previous candles.
Cycles
Enhanced Cognitive Learning Indicator 2.0 - Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning 2.0
improved integration and inputs
Market Movement After OpenDescription:
This script provides a detailed visualization of market movements during key trading hours: the German market opening (08:00–09:00 UTC+1) and the US market opening (15:30–16:30 UTC+1). It is designed to help traders analyze price behavior in these critical trading periods by capturing and presenting movement patterns and trends directly on the chart and in an interactive table.
Key Features:
Market Movement Analysis:
Tracks the price movement during the German market's first hour (08:00–09:00 UTC+1) and the US market's opening session (15:30–16:30 UTC+1).
Analyzes whether the price moved up or down during these intervals.
Visual Representation:
Dynamically colored price lines indicate upward (green) or downward (red) movement during the respective periods.
Labels ("DE" for Germany and "US" for the United States) mark key moments in the chart.
Historical Data Table:
Displays the past 10 trading days' movement trends in an interactive table, including:
Date: Trading date.
German Market Movement: Up (▲), Down (▼), or Neutral (-) for 08:00–09:00 UTC+1.
US Market Movement: Up (▲), Down (▼), or Neutral (-) for 15:30–16:30 UTC+1.
The table uses color coding for easy interpretation: green for upward movements, red for downward, and gray for neutral.
Real-Time Updates:
Automatically updates during live trading sessions to reflect the most recent movements.
Highlights incomplete periods (e.g., ongoing sessions) to indicate their status.
Customizable:
Suitable for intraday analysis or broader studies of market trends.
Designed to overlay directly on any price chart.
Use Case:
This script is particularly useful for traders who focus on market openings, which are often characterized by high volatility and significant price movements. By providing a clear visual representation of historical and live data, it aids in understanding and capitalizing on market trends during these critical periods.
Notes:
The script works best when the chart is set to the appropriate timezone (UTC+1 for the German market or your local equivalent).
For precise trading decisions, consider combining this script with other technical indicators or trading strategies.
Feel free to share feedback or suggest additional features to enhance the script!
Pi Cycle Top IndicatorThis will help you identify when the top is in for BTC using 1D candles on bitcoin index chart. it has worked flawlessly for previous cycles, lets see if it works going forward.
Enhanced Cognitive Learning Indicator 2.0 - Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning 2.0
improved integration and inputs
Combined F&O Indicator BY SUPERSINGHExplanation of the Code
Inputs and Settings: The script allows customization of the indicator lengths like RSI, EMA, Stochastic, ATR, etc. You can change these parameters directly from the indicator settings panel.
Moving Averages (EMA): We calculate three different EMAs (9, 20, and 50-period) to track the short, medium, and long-term trends.
RSI: Relative Strength Index (RSI) is calculated with a default period of 14.
Stochastic Oscillator: The Stochastic %K and %D lines are calculated to identify overbought or oversold conditions.
Bollinger Bands: Bollinger Bands with a period of 20 and a standard deviation of 2 are plotted to highlight overbought and oversold areas.
MACD: The Moving Average Convergence Divergence (MACD) is calculated with standard 12, 26, and 9 periods to identify bullish and bearish trends.
ATR: The Average True Range (ATR) is used to measure volatility. It is plotted as a reference to gauge price movement.
Buy and Sell Conditions:
Buy Condition: When the RSI is below 30 (indicating oversold), the Stochastic %K crosses above %D, and the price is above all three EMAs (indicating a bullish trend), and the MACD line is above the signal line.
Sell Condition: When the RSI is above 70 (indicating overbought), the Stochastic %K crosses below %D, and the price is below all three EMAs (indicating a bearish trend), and the MACD line is below the signal line.
Signals: The script plots buy signals when all conditions for a bullish trend are met and sell signals for a bearish trend. Buy and Sell signals are marked below and above the price bars, respectively.
Plots: The script plots the three EMAs, the Bollinger Bands, the RSI with overbought/oversold levels, and the MACD histogram.
Customizing Open Interest Data
Since Pine Script does not support Open Interest data directly, you would need to:
Use a data provider that includes Open Interest (if your broker or exchange offers this via TradingView).
Manually analyze Open Interest trends on external platforms and incorporate them into your decision-making.
If Open Interest is available on your chart, you can conditionally filter buy and sell signals based on rising or falling Open Interest to further refine your entry/exit strategy.
Next Steps
Copy and paste the code above into TradingView’s Pine Script editor.
Modify any settings or indicators as per your preferences.
Backtest the strategy to ensure that it works effectively on historical data.
Notes
Ensure that the buy and sell conditions align with your risk tolerance and trading style.
You might need to fine-tune the parameters based on the asset you're trading, as different instruments may behave differently.
NY session open8 am line for backtesting. easy way to backtest with a line at 8 am. so that you dont have to draw them all on yourself
Indicador Radial com Visualização de Graus ( versão de teste )Indicador baseado em graus para captar movimentos de liquidez do mercado( associado ao RSI)
Support/Resistance & Supply/Demand Zones By Sun3rainSupport / Resistance & Supply / Demand Zones (SMC)
RSI 10 mã thể hiện 4 khung thời gian//@version=6
indicator("Multi-Timeframe RSI with Divergence Alerts in Table", overlay=true)
// Inputs
rsiLength = input.int(14, title="RSI Length")
source = input.source(close, title="Source")
// Inputs for custom symbols (10 pairs)
symbol1 = input.string("BTC/USDT", title="Symbol 1")
symbol2 = input.string("ETH/USDT", title="Symbol 2")
symbol3 = input.string("LTC/USDT", title="Symbol 3")
symbol4 = input.string("XRP/USDT", title="Symbol 4")
symbol5 = input.string("ADA/USDT", title="Symbol 5")
symbol6 = input.string("SOL/USDT", title="Symbol 6")
symbol7 = input.string("DOGE/USDT", title="Symbol 7")
symbol8 = input.string("MATIC/USDT", title="Symbol 8")
symbol9 = input.string("BNB/USDT", title="Symbol 9")
symbol10 = input.string("AVAX/USDT", title="Symbol 10")
// RSI Calculations for custom symbols
rsi(symbol, timeframe) =>
request.security(symbol, timeframe, ta.rsi(source, rsiLength))
// RSI Calculations for timeframes (H1, H4, D1, W) for the custom symbols
rsi1H1 = rsi(symbol1, "60")
rsi2H1 = rsi(symbol2, "60")
rsi3H1 = rsi(symbol3, "60")
rsi4H1 = rsi(symbol4, "60")
rsi5H1 = rsi(symbol5, "60")
rsi6H1 = rsi(symbol6, "60")
rsi7H1 = rsi(symbol7, "60")
rsi8H1 = rsi(symbol8, "60")
rsi9H1 = rsi(symbol9, "60")
rsi10H1 = rsi(symbol10, "60")
rsi1H4 = rsi(symbol1, "240")
rsi2H4 = rsi(symbol2, "240")
rsi3H4 = rsi(symbol3, "240")
rsi4H4 = rsi(symbol4, "240")
rsi5H4 = rsi(symbol5, "240")
rsi6H4 = rsi(symbol6, "240")
rsi7H4 = rsi(symbol7, "240")
rsi8H4 = rsi(symbol8, "240")
rsi9H4 = rsi(symbol9, "240")
rsi10H4 = rsi(symbol10, "240")
rsi1D1 = rsi(symbol1, "D")
rsi2D1 = rsi(symbol2, "D")
rsi3D1 = rsi(symbol3, "D")
rsi4D1 = rsi(symbol4, "D")
rsi5D1 = rsi(symbol5, "D")
rsi6D1 = rsi(symbol6, "D")
rsi7D1 = rsi(symbol7, "D")
rsi8D1 = rsi(symbol8, "D")
rsi9D1 = rsi(symbol9, "D")
rsi10D1 = rsi(symbol10, "D")
rsi1W = rsi(symbol1, "W")
rsi2W = rsi(symbol2, "W")
rsi3W = rsi(symbol3, "W")
rsi4W = rsi(symbol4, "W")
rsi5W = rsi(symbol5, "W")
rsi6W = rsi(symbol6, "W")
rsi7W = rsi(symbol7, "W")
rsi8W = rsi(symbol8, "W")
rsi9W = rsi(symbol9, "W")
rsi10W = rsi(symbol10, "W")
// Alert levels
upperLevel = 80
lowerLevel = 30
// Table creation (adjusted size to fit 10 symbols and 4 timeframes)
var table rsiTable = table.new(position.top_right, 15, 5, border_width=1) // Added 10 rows for symbols, and 4 columns for timeframes
// Functions for RSI status and color
fun_rsiStatus(rsiValue) =>
if (rsiValue > upperLevel)
"Overbought"
else if (rsiValue < lowerLevel)
"Oversold"
else
"Neutral"
fun_rsiColor(rsiValue) =>
if (rsiValue > upperLevel)
color.new(color.red, 0)
else if (rsiValue < lowerLevel)
color.new(color.green, 0)
else
color.new(color.gray, 50)
fun_textColor() =>
color.new(color.white, 0)
// Update Table headers
table.cell(rsiTable, 0, 0, "Symbol", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 1, "H1 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 2, "H4 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 3, "D1 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 4, "Weekly RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
// Display RSI for each symbol and timeframe
// Symbol 1
table.cell(rsiTable, 1, 0, symbol1, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 1, 1, str.tostring(rsi1H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1H1))
table.cell(rsiTable, 1, 2, str.tostring(rsi1H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1H4))
table.cell(rsiTable, 1, 3, str.tostring(rsi1D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1D1))
table.cell(rsiTable, 1, 4, str.tostring(rsi1W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1W))
// Symbol 2
table.cell(rsiTable, 2, 0, symbol2, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 2, 1, str.tostring(rsi2H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2H1))
table.cell(rsiTable, 2, 2, str.tostring(rsi2H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2H4))
table.cell(rsiTable, 2, 3, str.tostring(rsi2D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2D1))
table.cell(rsiTable, 2, 4, str.tostring(rsi2W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2W))
// Repeat for other symbols (3 to 10)...
// Symbol 3
table.cell(rsiTable, 3, 0, symbol3, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 3, 1, str.tostring(rsi3H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3H1))
table.cell(rsiTable, 3, 2, str.tostring(rsi3H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3H4))
table.cell(rsiTable, 3, 3, str.tostring(rsi3D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3D1))
table.cell(rsiTable, 3, 4, str.tostring(rsi3W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3W))
// Symbol 4
table.cell(rsiTable, 4, 0, symbol4, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 4, 1, str.tostring(rsi4H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4H1))
table.cell(rsiTable, 4, 2, str.tostring(rsi4H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4H4))
table.cell(rsiTable, 4, 3, str.tostring(rsi4D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4D1))
table.cell(rsiTable, 4, 4, str.tostring(rsi4W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4W))
// Symbol 5
table.cell(rsiTable, 5, 0, symbol5, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 5, 1, str.tostring(rsi5H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5H1))
table.cell(rsiTable, 5, 2, str.tostring(rsi5H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5H4))
table.cell(rsiTable, 5, 3, str.tostring(rsi5D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5D1))
table.cell(rsiTable, 5, 4, str.tostring(rsi5W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5W))
// Symbol 6
table.cell(rsiTable, 6, 0, symbol6, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 6, 1, str.tostring(rsi6H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6H1))
table.cell(rsiTable, 6, 2, str.tostring(rsi6H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6H4))
table.cell(rsiTable, 6, 3, str.tostring(rsi6D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6D1))
table.cell(rsiTable, 6, 4, str.tostring(rsi6W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6W))
// Symbol 7
table.cell(rsiTable, 7, 0, symbol7, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 7, 1, str.tostring(rsi7H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7H1))
table.cell(rsiTable, 7, 2, str.tostring(rsi7H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7H4))
table.cell(rsiTable, 7, 3, str.tostring(rsi7D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7D1))
table.cell(rsiTable, 7, 4, str.tostring(rsi7W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7W))
// Symbol 8
table.cell(rsiTable, 8, 0, symbol8, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 8, 1, str.tostring(rsi8H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8H1))
table.cell(rsiTable, 8, 2, str.tostring(rsi8H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8H4))
table.cell(rsiTable, 8, 3, str.tostring(rsi8D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8D1))
table.cell(rsiTable, 8, 4, str.tostring(rsi8W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8W))
// Symbol 9
table.cell(rsiTable, 9, 0, symbol9, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 9, 1, str.tostring(rsi9H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9H1))
table.cell(rsiTable, 9, 2, str.tostring(rsi9H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9H4))
table.cell(rsiTable, 9, 3, str.tostring(rsi9D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9D1))
table.cell(rsiTable, 9, 4, str.tostring(rsi9W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9W))
// Symbol 10
table.cell(rsiTable, 10, 0, symbol10, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 10, 1, str.tostring(rsi10H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10H1))
table.cell(rsiTable, 10, 2, str.tostring(rsi10H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10H4))
table.cell(rsiTable, 10, 3, str.tostring(rsi10D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10D1))
table.cell(rsiTable, 10, 4, str.tostring(rsi10W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10W))
RSI 10 mã thể hiện 4 khung thời gian//@version=6
indicator("Multi-Timeframe RSI with Divergence Alerts in Table", overlay=true)
// Inputs
rsiLength = input.int(14, title="RSI Length")
source = input.source(close, title="Source")
// Inputs for custom symbols (10 pairs)
symbol1 = input.string("BTC/USDT", title="Symbol 1")
symbol2 = input.string("ETH/USDT", title="Symbol 2")
symbol3 = input.string("LTC/USDT", title="Symbol 3")
symbol4 = input.string("XRP/USDT", title="Symbol 4")
symbol5 = input.string("ADA/USDT", title="Symbol 5")
symbol6 = input.string("SOL/USDT", title="Symbol 6")
symbol7 = input.string("DOGE/USDT", title="Symbol 7")
symbol8 = input.string("MATIC/USDT", title="Symbol 8")
symbol9 = input.string("BNB/USDT", title="Symbol 9")
symbol10 = input.string("AVAX/USDT", title="Symbol 10")
// RSI Calculations for custom symbols
rsi(symbol, timeframe) =>
request.security(symbol, timeframe, ta.rsi(source, rsiLength))
// RSI Calculations for timeframes (H1, H4, D1, W) for the custom symbols
rsi1H1 = rsi(symbol1, "60")
rsi2H1 = rsi(symbol2, "60")
rsi3H1 = rsi(symbol3, "60")
rsi4H1 = rsi(symbol4, "60")
rsi5H1 = rsi(symbol5, "60")
rsi6H1 = rsi(symbol6, "60")
rsi7H1 = rsi(symbol7, "60")
rsi8H1 = rsi(symbol8, "60")
rsi9H1 = rsi(symbol9, "60")
rsi10H1 = rsi(symbol10, "60")
rsi1H4 = rsi(symbol1, "240")
rsi2H4 = rsi(symbol2, "240")
rsi3H4 = rsi(symbol3, "240")
rsi4H4 = rsi(symbol4, "240")
rsi5H4 = rsi(symbol5, "240")
rsi6H4 = rsi(symbol6, "240")
rsi7H4 = rsi(symbol7, "240")
rsi8H4 = rsi(symbol8, "240")
rsi9H4 = rsi(symbol9, "240")
rsi10H4 = rsi(symbol10, "240")
rsi1D1 = rsi(symbol1, "D")
rsi2D1 = rsi(symbol2, "D")
rsi3D1 = rsi(symbol3, "D")
rsi4D1 = rsi(symbol4, "D")
rsi5D1 = rsi(symbol5, "D")
rsi6D1 = rsi(symbol6, "D")
rsi7D1 = rsi(symbol7, "D")
rsi8D1 = rsi(symbol8, "D")
rsi9D1 = rsi(symbol9, "D")
rsi10D1 = rsi(symbol10, "D")
rsi1W = rsi(symbol1, "W")
rsi2W = rsi(symbol2, "W")
rsi3W = rsi(symbol3, "W")
rsi4W = rsi(symbol4, "W")
rsi5W = rsi(symbol5, "W")
rsi6W = rsi(symbol6, "W")
rsi7W = rsi(symbol7, "W")
rsi8W = rsi(symbol8, "W")
rsi9W = rsi(symbol9, "W")
rsi10W = rsi(symbol10, "W")
// Alert levels
upperLevel = 80
lowerLevel = 30
// Table creation (adjusted size to fit 10 symbols and 4 timeframes)
var table rsiTable = table.new(position.top_right, 15, 5, border_width=1) // Added 10 rows for symbols, and 4 columns for timeframes
// Functions for RSI status and color
fun_rsiStatus(rsiValue) =>
if (rsiValue > upperLevel)
"Overbought"
else if (rsiValue < lowerLevel)
"Oversold"
else
"Neutral"
fun_rsiColor(rsiValue) =>
if (rsiValue > upperLevel)
color.new(color.red, 0)
else if (rsiValue < lowerLevel)
color.new(color.green, 0)
else
color.new(color.gray, 50)
fun_textColor() =>
color.new(color.white, 0)
// Update Table headers
table.cell(rsiTable, 0, 0, "Symbol", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 1, "H1 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 2, "H4 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 3, "D1 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 4, "Weekly RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
// Display RSI for each symbol and timeframe
// Symbol 1
table.cell(rsiTable, 1, 0, symbol1, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 1, 1, str.tostring(rsi1H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1H1))
table.cell(rsiTable, 1, 2, str.tostring(rsi1H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1H4))
table.cell(rsiTable, 1, 3, str.tostring(rsi1D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1D1))
table.cell(rsiTable, 1, 4, str.tostring(rsi1W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1W))
// Symbol 2
table.cell(rsiTable, 2, 0, symbol2, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 2, 1, str.tostring(rsi2H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2H1))
table.cell(rsiTable, 2, 2, str.tostring(rsi2H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2H4))
table.cell(rsiTable, 2, 3, str.tostring(rsi2D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2D1))
table.cell(rsiTable, 2, 4, str.tostring(rsi2W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2W))
// Repeat for other symbols (3 to 10)...
// Symbol 3
table.cell(rsiTable, 3, 0, symbol3, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 3, 1, str.tostring(rsi3H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3H1))
table.cell(rsiTable, 3, 2, str.tostring(rsi3H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3H4))
table.cell(rsiTable, 3, 3, str.tostring(rsi3D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3D1))
table.cell(rsiTable, 3, 4, str.tostring(rsi3W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3W))
// Symbol 4
table.cell(rsiTable, 4, 0, symbol4, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 4, 1, str.tostring(rsi4H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4H1))
table.cell(rsiTable, 4, 2, str.tostring(rsi4H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4H4))
table.cell(rsiTable, 4, 3, str.tostring(rsi4D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4D1))
table.cell(rsiTable, 4, 4, str.tostring(rsi4W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4W))
// Symbol 5
table.cell(rsiTable, 5, 0, symbol5, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 5, 1, str.tostring(rsi5H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5H1))
table.cell(rsiTable, 5, 2, str.tostring(rsi5H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5H4))
table.cell(rsiTable, 5, 3, str.tostring(rsi5D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5D1))
table.cell(rsiTable, 5, 4, str.tostring(rsi5W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5W))
// Symbol 6
table.cell(rsiTable, 6, 0, symbol6, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 6, 1, str.tostring(rsi6H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6H1))
table.cell(rsiTable, 6, 2, str.tostring(rsi6H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6H4))
table.cell(rsiTable, 6, 3, str.tostring(rsi6D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6D1))
table.cell(rsiTable, 6, 4, str.tostring(rsi6W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6W))
// Symbol 7
table.cell(rsiTable, 7, 0, symbol7, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 7, 1, str.tostring(rsi7H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7H1))
table.cell(rsiTable, 7, 2, str.tostring(rsi7H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7H4))
table.cell(rsiTable, 7, 3, str.tostring(rsi7D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7D1))
table.cell(rsiTable, 7, 4, str.tostring(rsi7W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7W))
// Symbol 8
table.cell(rsiTable, 8, 0, symbol8, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 8, 1, str.tostring(rsi8H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8H1))
table.cell(rsiTable, 8, 2, str.tostring(rsi8H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8H4))
table.cell(rsiTable, 8, 3, str.tostring(rsi8D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8D1))
table.cell(rsiTable, 8, 4, str.tostring(rsi8W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8W))
// Symbol 9
table.cell(rsiTable, 9, 0, symbol9, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 9, 1, str.tostring(rsi9H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9H1))
table.cell(rsiTable, 9, 2, str.tostring(rsi9H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9H4))
table.cell(rsiTable, 9, 3, str.tostring(rsi9D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9D1))
table.cell(rsiTable, 9, 4, str.tostring(rsi9W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9W))
// Symbol 10
table.cell(rsiTable, 10, 0, symbol10, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 10, 1, str.tostring(rsi10H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10H1))
table.cell(rsiTable, 10, 2, str.tostring(rsi10H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10H4))
table.cell(rsiTable, 10, 3, str.tostring(rsi10D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10D1))
table.cell(rsiTable, 10, 4, str.tostring(rsi10W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10W))
RSI 10 mã thể hiện 4 khung thời gian//@version=6
indicator("Multi-Timeframe RSI with Divergence Alerts in Table", overlay=true)
// Inputs
rsiLength = input.int(14, title="RSI Length")
source = input.source(close, title="Source")
// Inputs for custom symbols (10 pairs)
symbol1 = input.string("BTC/USDT", title="Symbol 1")
symbol2 = input.string("ETH/USDT", title="Symbol 2")
symbol3 = input.string("LTC/USDT", title="Symbol 3")
symbol4 = input.string("XRP/USDT", title="Symbol 4")
symbol5 = input.string("ADA/USDT", title="Symbol 5")
symbol6 = input.string("SOL/USDT", title="Symbol 6")
symbol7 = input.string("DOGE/USDT", title="Symbol 7")
symbol8 = input.string("MATIC/USDT", title="Symbol 8")
symbol9 = input.string("BNB/USDT", title="Symbol 9")
symbol10 = input.string("AVAX/USDT", title="Symbol 10")
// RSI Calculations for custom symbols
rsi(symbol, timeframe) =>
request.security(symbol, timeframe, ta.rsi(source, rsiLength))
// RSI Calculations for timeframes (H1, H4, D1, W) for the custom symbols
rsi1H1 = rsi(symbol1, "60")
rsi2H1 = rsi(symbol2, "60")
rsi3H1 = rsi(symbol3, "60")
rsi4H1 = rsi(symbol4, "60")
rsi5H1 = rsi(symbol5, "60")
rsi6H1 = rsi(symbol6, "60")
rsi7H1 = rsi(symbol7, "60")
rsi8H1 = rsi(symbol8, "60")
rsi9H1 = rsi(symbol9, "60")
rsi10H1 = rsi(symbol10, "60")
rsi1H4 = rsi(symbol1, "240")
rsi2H4 = rsi(symbol2, "240")
rsi3H4 = rsi(symbol3, "240")
rsi4H4 = rsi(symbol4, "240")
rsi5H4 = rsi(symbol5, "240")
rsi6H4 = rsi(symbol6, "240")
rsi7H4 = rsi(symbol7, "240")
rsi8H4 = rsi(symbol8, "240")
rsi9H4 = rsi(symbol9, "240")
rsi10H4 = rsi(symbol10, "240")
rsi1D1 = rsi(symbol1, "D")
rsi2D1 = rsi(symbol2, "D")
rsi3D1 = rsi(symbol3, "D")
rsi4D1 = rsi(symbol4, "D")
rsi5D1 = rsi(symbol5, "D")
rsi6D1 = rsi(symbol6, "D")
rsi7D1 = rsi(symbol7, "D")
rsi8D1 = rsi(symbol8, "D")
rsi9D1 = rsi(symbol9, "D")
rsi10D1 = rsi(symbol10, "D")
rsi1W = rsi(symbol1, "W")
rsi2W = rsi(symbol2, "W")
rsi3W = rsi(symbol3, "W")
rsi4W = rsi(symbol4, "W")
rsi5W = rsi(symbol5, "W")
rsi6W = rsi(symbol6, "W")
rsi7W = rsi(symbol7, "W")
rsi8W = rsi(symbol8, "W")
rsi9W = rsi(symbol9, "W")
rsi10W = rsi(symbol10, "W")
// Alert levels
upperLevel = 80
lowerLevel = 30
// Table creation (adjusted size to fit 10 symbols and 4 timeframes)
var table rsiTable = table.new(position.top_right, 15, 5, border_width=1) // Added 10 rows for symbols, and 4 columns for timeframes
// Functions for RSI status and color
fun_rsiStatus(rsiValue) =>
if (rsiValue > upperLevel)
"Overbought"
else if (rsiValue < lowerLevel)
"Oversold"
else
"Neutral"
fun_rsiColor(rsiValue) =>
if (rsiValue > upperLevel)
color.new(color.red, 0)
else if (rsiValue < lowerLevel)
color.new(color.green, 0)
else
color.new(color.gray, 50)
fun_textColor() =>
color.new(color.white, 0)
// Update Table headers
table.cell(rsiTable, 0, 0, "Symbol", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 1, "H1 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 2, "H4 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 3, "D1 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 4, "Weekly RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
// Display RSI for each symbol and timeframe
// Symbol 1
table.cell(rsiTable, 1, 0, symbol1, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 1, 1, str.tostring(rsi1H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1H1))
table.cell(rsiTable, 1, 2, str.tostring(rsi1H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1H4))
table.cell(rsiTable, 1, 3, str.tostring(rsi1D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1D1))
table.cell(rsiTable, 1, 4, str.tostring(rsi1W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1W))
// Symbol 2
table.cell(rsiTable, 2, 0, symbol2, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 2, 1, str.tostring(rsi2H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2H1))
table.cell(rsiTable, 2, 2, str.tostring(rsi2H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2H4))
table.cell(rsiTable, 2, 3, str.tostring(rsi2D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2D1))
table.cell(rsiTable, 2, 4, str.tostring(rsi2W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2W))
// Repeat for other symbols (3 to 10)...
// Symbol 3
table.cell(rsiTable, 3, 0, symbol3, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 3, 1, str.tostring(rsi3H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3H1))
table.cell(rsiTable, 3, 2, str.tostring(rsi3H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3H4))
table.cell(rsiTable, 3, 3, str.tostring(rsi3D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3D1))
table.cell(rsiTable, 3, 4, str.tostring(rsi3W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3W))
// Symbol 4
table.cell(rsiTable, 4, 0, symbol4, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 4, 1, str.tostring(rsi4H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4H1))
table.cell(rsiTable, 4, 2, str.tostring(rsi4H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4H4))
table.cell(rsiTable, 4, 3, str.tostring(rsi4D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4D1))
table.cell(rsiTable, 4, 4, str.tostring(rsi4W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4W))
// Symbol 5
table.cell(rsiTable, 5, 0, symbol5, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 5, 1, str.tostring(rsi5H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5H1))
table.cell(rsiTable, 5, 2, str.tostring(rsi5H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5H4))
table.cell(rsiTable, 5, 3, str.tostring(rsi5D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5D1))
table.cell(rsiTable, 5, 4, str.tostring(rsi5W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5W))
// Symbol 6
table.cell(rsiTable, 6, 0, symbol6, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 6, 1, str.tostring(rsi6H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6H1))
table.cell(rsiTable, 6, 2, str.tostring(rsi6H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6H4))
table.cell(rsiTable, 6, 3, str.tostring(rsi6D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6D1))
table.cell(rsiTable, 6, 4, str.tostring(rsi6W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6W))
// Symbol 7
table.cell(rsiTable, 7, 0, symbol7, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 7, 1, str.tostring(rsi7H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7H1))
table.cell(rsiTable, 7, 2, str.tostring(rsi7H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7H4))
table.cell(rsiTable, 7, 3, str.tostring(rsi7D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7D1))
table.cell(rsiTable, 7, 4, str.tostring(rsi7W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7W))
// Symbol 8
table.cell(rsiTable, 8, 0, symbol8, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 8, 1, str.tostring(rsi8H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8H1))
table.cell(rsiTable, 8, 2, str.tostring(rsi8H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8H4))
table.cell(rsiTable, 8, 3, str.tostring(rsi8D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8D1))
table.cell(rsiTable, 8, 4, str.tostring(rsi8W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8W))
// Symbol 9
table.cell(rsiTable, 9, 0, symbol9, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 9, 1, str.tostring(rsi9H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9H1))
table.cell(rsiTable, 9, 2, str.tostring(rsi9H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9H4))
table.cell(rsiTable, 9, 3, str.tostring(rsi9D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9D1))
table.cell(rsiTable, 9, 4, str.tostring(rsi9W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9W))
// Symbol 10
table.cell(rsiTable, 10, 0, symbol10, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 10, 1, str.tostring(rsi10H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10H1))
table.cell(rsiTable, 10, 2, str.tostring(rsi10H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10H4))
table.cell(rsiTable, 10, 3, str.tostring(rsi10D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10D1))
table.cell(rsiTable, 10, 4, str.tostring(rsi10W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10W))
Sesión New York 7:00 am - 10:00 am Costa RicaIndicador basado para la Sesion de New York entre las 7:00am a 10:00 am hora de Costa Rica
SMA y HMA PersonalizablesEste indicador puede ser útil para observar cómo se comportan diferentes tipos de medios móviles (SMA y HMA) con distintos períodos en un gráfico de precios. Las SMA son buenas para ver tendencias a largo plazo, mientras que la HMA es conocida por su capacidad para reducir el retraso.
First Weeks, Christmas, and May (Past 20 Years)Simple indicator that help mark the important sale off days of the year, including
- Black Friday
- Christmas
- And, but not least, sell in MAY
US Market Opening UTC+1Description:
This script highlights the opening time of the US stock market (15:30 UTC+1) on a TradingView chart. It is designed to help traders quickly identify market openings and analyze price movements during this key trading period.
Key Features:
Market Opening Identification:
Automatically detects the exact moment the US stock market opens each day (15:30 UTC+1).
Marks the opening with a vertical line spanning the entire chart and a label for visual clarity.
Custom Indicators:
A blue line is drawn from the lowest to the highest price of the opening candle, extending across the chart to visually indicate the start of the trading day.
A labeled marker reading "US-Opening" is placed at the top of the opening candle for additional clarity.
Ease of Use:
Simple overlay indicator that works seamlessly on any timeframe chart.
Helps traders focus on key opening price action.
Use Case:
This script is particularly useful for day traders and scalpers who want to identify and analyze the price behavior around the opening of the US stock market. It provides a visual cue to help traders develop strategies or make informed decisions during this active trading period.
Note:
Ensure your chart’s timezone is set to match UTC+1 or appropriately adjust for your location to ensure accurate time alignment.
If you have questions or suggestions, feel free to provide feedback!
German Market Opening UTC+1Description:
This script highlights the opening time of the German stock market (08:00 UTC+1) on a TradingView chart. It is designed to help traders quickly identify market openings and analyze price movements during this key trading period.
Key Features:
Market Opening Identification:
Automatically detects the exact moment the German stock market opens each day (08:00 UTC+1).
Marks the opening with a vertical line spanning the entire chart and a label for visual clarity.
Custom Indicators:
A blue line is drawn from the lowest to the highest price of the opening candle, extending across the chart to visually indicate the start of the trading day.
A labeled marker reading "DE-Opening" is placed at the top of the opening candle for additional clarity.
Ease of Use:
Simple overlay indicator that works seamlessly on any timeframe chart.
Helps traders focus on key opening price action.
Use Case:
This script is particularly useful for day traders and scalpers who want to identify and analyze the price behavior around the opening of the German stock market. It provides a visual cue to help traders develop strategies or make informed decisions during this active trading period.
Note:
Ensure your chart’s timezone is set to match UTC+1 or appropriately adjust for your location to ensure accurate time alignment.
If you have questions or suggestions, feel free to provide feedback!
EMA Squeeze RythmHere's a description of this indicator and its purpose:
This indicator is based on the concept of price consolidation and volatility contraction using multiple Exponential Moving Averages (EMAs). It primarily looks for "squeeze" conditions where the EMAs converge, indicating potential market consolidation and subsequent breakout opportunities.
Key Features:
1. Uses 8 EMAs (20-55 period) to measure price compression
2. Measures the distance between fastest (20) and slowest (55) EMAs in ATR units
3. Identifies four distinct states:
- PRE-SQZE: Initial convergence of EMAs
- SQZE: Tighter convergence
- EXT-SQZE: Extreme convergence (highest probability of breakout)
- RELEASE: EMAs begin to expand (potential breakout in progress)
Best Used For:
- Identifying potential breakout setups
- Finding periods of low volatility before explosive moves
- Confirming trend strength using higher timeframe analysis
- Trading mean reversion strategies during squeeze states
- Catching momentum moves during release states
The indicator works well on any timeframe but is particularly effective on 15M to 4H charts for most liquid markets. It includes higher timeframe analysis to help confirm the broader market context.
Weekly-SeparatorThis TradingView indicator draws vertical lines at the weekly open, providing a visual reference for the start of the trading week. These lines help traders identify key price levels and track market movements relative to the opening price of each week.
Asset Indexed by Future Interest
Este script em Pine Script calcula e exibe o índice de um ativo em relação à taxa de juros futuros (DI1) em um painel inferior. Ele obtém o preço de fechamento do ativo e a taxa de juros futuros DI1!, e em seguida, calcula o índice do ativo dividindo o preço do ativo pela taxa de juros futuros. Para evitar a divisão por zero, o script realiza uma validação para garantir que o valor da taxa de juros não seja nulo ou zero. O índice calculado é então plotado no painel inferior, em uma linha verde, permitindo que os usuários visualizem a relação entre o preço do ativo e os juros futuros de curto prazo. Esse índice pode ser útil para analisar como a taxa de juros influencia o comportamento do ativo.
This script in Pine Script calculates and displays the ratio of an asset to the future interest rate (DI1) in a lower panel. It obtains the asset's closing price and the future interest rate DI1!, and then calculates the asset index by dividing the asset price by the future interest rate. To avoid division by zero, the script performs validation to ensure that the interest rate value is not null or zero. The calculated index is then plotted in the bottom panel, in a green line, allowing users to visualize the relationship between the asset's price and short-term future interest. This index can be useful for analyzing how the interest rate influences the asset's behavior.
Adjust Asset for Future Interest (Brazil)Este script foi criado para ajustar o preço de um ativo com base na taxa de juros DI11!, que reflete a expectativa do mercado para os juros futuros. O objetivo é mostrar como o valor do ativo seria influenciado se fosse diretamente ajustado pela variação dessa taxa de juros.
Como funciona?
Preço do Ativo
O script começa capturando o preço de fechamento do ativo que está sendo visualizado no gráfico. Esse é o ponto de partida para o cálculo.
Taxa de Juros DI11!
Em seguida, ele busca os valores diários da taxa DI11! no mercado. Esta taxa é uma referência de juros de curto prazo, usada para ajustes financeiros e projeções econômicas.
Fator de Ajuste
Com a taxa de juros DI11!, o script calcula um fator de ajuste simples:
Fator de Ajuste
=
1
+
DI11
100
Fator de Ajuste=1+
100
DI11
Esse fator traduz a taxa percentual em um multiplicador aplicado ao preço do ativo.
Cálculo do Ativo Ajustado
Multiplica o preço do ativo pelo fator de ajuste para obter o valor ajustado do ativo. Este cálculo mostra como o preço seria se fosse diretamente influenciado pela variação da taxa DI11!.
Exibição no Gráfico
O script plota o preço ajustado do ativo como uma linha azul no gráfico, com maior espessura para facilitar a visualização. O resultado é uma curva que reflete o impacto teórico da taxa de juros DI11! sobre o ativo.
Utilidade
Este indicador é útil para entender como as taxas de juros podem influenciar ativos financeiros de forma hipotética. Ele é especialmente interessante para analistas que desejam avaliar a relação entre o mercado de renda variável e as condições de juros no curto prazo.
This script was created to adjust the price of an asset based on the DI11! interest rate, which reflects the market's expectation for future interest rates. The goal is to show how the asset's value would be influenced if it were directly adjusted by the variation of this interest rate.
How does it work?
Asset Price
The script starts by capturing the closing price of the asset that is being viewed on the chart. This is the starting point for the calculation.
DI11! Interest Rate
The script then searches for the daily values of the DI11! rate in the market. This rate is a short-term interest reference, used for financial adjustments and economic projections.
Adjustment Factor
With the DI11! interest rate, the script calculates a simple adjustment factor:
Adjustment Factor
=
1
+
DI11
100
Adjustment Factor=1+
100
DI11
This factor translates the percentage rate into a multiplier applied to the asset's price.
Adjusted Asset Calculation
Multiplies the asset price by the adjustment factor to obtain the adjusted asset value. This calculation shows how the price would be if it were directly influenced by the variation of the DI11! rate.
Display on the Chart
The script plots the adjusted asset price as a blue line on the chart, with greater thickness for easier visualization. The result is a curve that reflects the theoretical impact of the DI11! interest rate on the asset.
Usefulness
This indicator is useful for understanding how interest rates can hypothetically influence financial assets. It is especially interesting for analysts who want to assess the relationship between the equity market and short-term interest rate conditions.