Multi SMA EMA VWAP1. Moving Average Crossover
This is one of the most common strategies with moving averages, and it involves observing crossovers between EMAs and SMAs to determine buy or sell signals.
Buy signal: When a faster EMA (like a short-term EMA) crosses above a slower SMA, it can indicate a potential upward movement.
Sell signal: When a faster EMA crosses below a slower SMA, it can indicate a potential downward movement.
With 4 EMAs and 5 SMAs, you can set up crossovers between different combinations, such as:
EMA(9) crosses above SMA(50) → buy.
EMA(9) crosses below SMA(50) → sell.
2. Divergence Confirmation Between EMAs and SMAs
Divergence between the EMAs and SMAs can offer additional confirmation. If the EMAs are pointing in one direction and the SMAs are still in the opposite direction, it is a sign that the movement could be stronger and continue in the same direction.
Positive divergence: If the EMAs are making new highs while the SMAs are still below, it could be a sign that the market is in a strong trend.
Negative divergence: If the EMAs are making new lows and the SMAs are still above, you might consider that the market is in a downtrend or correction.
3. Using EMAs as Dynamic Support and Resistance
EMAs can act as dynamic support and resistance in strong trends. If the price approaches a faster EMA from above and doesn’t break it, it could be a good entry point for a long position (buy). If the price approaches a slower EMA from below and doesn't break it, it could be a good point to sell (short).
Buy: If the price is above all EMAs and approaches the fastest EMA (e.g., EMA(9)), it could be a good buy point if the price bounces upward.
Sell: If the price is below all EMAs and approaches the fastest EMA, it could be a good sell point if the price bounces downward.
4. Combining SMAs and EMAs to Filter Signals
SMAs can serve as a trend filter to avoid trading in sideways markets. For example:
Bullish trend condition: If the longer-term SMAs (such as SMA(100) or SMA(200)) are below the price, and the shorter EMAs are aligned upward, you can look for buy signals.
Bearish trend condition: If the longer-term SMAs are above the price and the shorter EMAs are aligned downward, you can look for sell signals.
5. Consolidation Zone Between EMAs and SMAs
When the price moves between EMAs and SMAs without a clear trend (consolidation zone), you can expect a breakout. In this case, you can use the EMAs and SMAs to identify the direction of the breakout:
If the price is in a narrow range between the EMAs and SMAs and then breaks above the fastest EMA, it’s a sign that an upward trend may begin.
If the price breaks below the fastest EMA, it could indicate a potential downward trend.
6. "Golden Cross" and "Death Cross" Strategy
These are classic strategies based on crossovers between moving averages of different periods.
Golden Cross: Occurs when a faster EMA (e.g., EMA(50)) crosses above a slower SMA (e.g., SMA(200)), which suggests a potential bullish trend.
Death Cross: Occurs when a faster EMA crosses below a slower SMA, which suggests a potential bearish trend.
Additional Recommendations:
Combining with other indicators: You can combine EMA and SMA signals with other indicators like the RSI (Relative Strength Index) or MACD (Moving Average Convergence/Divergence) for confirmation and to avoid false signals.
Risk management: Always use stop-loss and take-profit orders to protect your capital. Moving averages are trend-following indicators but don’t guarantee that the price will move in the same direction.
Timeframe analysis: It’s recommended to use different timeframes to confirm the trend (e.g., use EMAs on hourly charts along with SMAs on daily charts).
VWAP
1. VWAP + EMAs for Trend Confirmation
VWAP can act as a trend filter, confirming the direction provided by the EMAs.
Buy Signal: If the price is above the VWAP and the EMAs are aligned in an uptrend (e.g., short-term EMAs are above longer-term EMAs), this indicates that the trend is bullish and you can look for buy opportunities.
Sell Signal: If the price is below the VWAP and the EMAs are aligned in a downtrend (e.g., short-term EMAs are below longer-term EMAs), this suggests a bearish trend and you can look for sell opportunities.
In this case, VWAP is used to confirm the overall trend. For example:
Bullish: Price above VWAP, EMAs aligned to the upside (e.g., EMA(9) > EMA(50) > EMA(200)), buy.
Bearish: Price below VWAP, EMAs aligned to the downside (e.g., EMA(9) < EMA(50) < EMA(200)), sell.
2. VWAP as Dynamic Support and Resistance
VWAP can act as a dynamic support or resistance level during the day. Combining this with EMAs and SMAs helps you refine your entry and exit points.
Support: If the price is above VWAP and starts pulling back to VWAP, it could act as support. If the price bounces off the VWAP and aligns with bullish EMAs (e.g., EMA(9) crossing above EMA(50)), you can consider entering a buy position.
Resistance: If the price is below VWAP and approaches VWAP from below, it can act as resistance. If the price fails to break through VWAP and aligns with bearish EMAs (e.g., EMA(9) crossing below EMA(50)), it could be a good signal for a sell.
Indicators and strategies
Support and Resistance Levels TP/SLSupport and resistance levels are critical concepts in trading, often used to set Take Profit (TP) and Stop Loss (SL) levels. Here's a guide to effectively determine these levels:
1. Identifying Support and Resistance Levels
- Support Level: A price level where demand is strong enough to prevent the price from falling further. Think of it as a floor.
- Resistance Level: A price level where selling pressure is strong enough to prevent the price from rising further. Think of it as a ceiling.
Methods to Identify Levels:
- Horizontal Lines: Use historical price data to find levels where prices frequently reversed.
- **Trendlines**: Draw diagonal lines connecting higher lows (support) or lower highs (resistance).
- Fibonacci Retracement: Calculate levels based on key Fibonacci ratios (e.g., 23.6%, 38.2%, 61.8%).
- Moving Averages: Identify dynamic support and resistance based on moving average levels.
- Volume Profile: Spot areas of high trading activity, which often act as support or resistance.
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2. Setting Take Profit (TP) Levels
- Conservative Approach: Place the TP level slightly below a resistance level to ensure execution.
- Aggressive Approach: Target higher levels, considering momentum and trend strength.
Example:
- Resistance at $50.
- Set TP at $49.80 to account for slippage or premature reversals.
3. Setting Stop Loss (SL) Levels
- Below Support: For long trades, set the SL slightly below the identified support level.
- Above Resistance: For short trades, set the SL slightly above the resistance.
Example:
- Support at $45.
- Set SL at $44.80 to allow for minor price fluctuations.
4. Risk-Reward Ratio
- Aim for at least a 1:2 risk-reward ratio (e.g., risk $1 to gain $2).
- Calculate TP and SL levels accordingly to maintain this balance.
5. Adjusting for Market Conditions
- Volatile Markets: Widen TP and SL levels to account for larger price swings.
- Stable Markets: Use tighter levels for precise risk management.
6. Automating TP/SL
- Use trading platforms to automate TP/SL placements, ensuring discipline and emotional control.
Would you like help applying this to a specific scenario or chart?
Trend Followermix of trader_xo and btc_charlie EMAs.
charlie_slowEMA_period = 50
charlie_fastEMA_period = 10
xo_slowEMA_period = 21
xo_fastEMA_period = 12
uses above EMAs to publish the trend. feel free to copy and update
13 EMA Cross - Next Day High/Low//@version=6
indicator("13 EMA Cross - Next Day High/Low", overlay=true)
// Inputs for EMAs
length1 = input.int(13, title="Short EMA (13 EMA)")
length2 = input.int(34, title="Long EMA (34 EMA)")
// Input for support line properties
supportColor = input.color(#A52A2A, title="Support Line Color") // Brown color
lineWidth = input.int(2, title="Line Width")
// Calculate EMAs
ema13 = ta.ema(close, length1)
ema34 = ta.ema(close, length2)
// Detect Crosses
crossAbove = ta.crossover(ema13, ema34)
crossBelow = ta.crossunder(ema13, ema34)
// Track when a crossover happens
var float nextDayHigh = na
var float nextDayLow = na
var int crossoverBarIndex = na
if crossAbove or crossBelow
crossoverBarIndex := bar_index
nextDayHigh := na
nextDayLow := na
// Capture next day candle's high and low after crossover
if bar_index == crossoverBarIndex + 1
nextDayHigh := high
nextDayLow := low
// Draw horizontal lines at the next day's high and low
if not na(nextDayHigh) and not na(nextDayLow)
line.new(x1=crossoverBarIndex + 1, y1=nextDayHigh, x2=bar_index, y2=nextDayHigh, color=supportColor, width=lineWidth)
line.new(x1=crossoverBarIndex + 1, y1=nextDayLow, x2=bar_index, y2=nextDayLow, color=supportColor, width=lineWidth)
13 EMA Cross - Daily Supportwhen 13 ema cross 34 ema mark next day candle high and low. when high breaks wait for retest when retest happens after breakout go for 1:2 ratio
Multi-EMA Indicatorit is a multi-EMA indicator showing 20, 50, 100, 200 EMAs and can be used for potential market reversal, breakout trading and etc. the lines color can be changed as well
Multi-EMA Indicatorit is a multi-EMA indicator showing 20, 50, 100, 200 EMAs and can be used for potential market reversal, breakout trading and etc. the lines color can be changed as well
20 EMA Indicatorit is a 20 ema indicator where it is shown by a red line (the colour can be changed) and it moves, it is not stable. it can be used to indicate potential market reversal
Price Action Indicators (LinaMorningStar)The one i developed 22.Dec.2024
It's indicator that use to predict if the market is bullish or bearish using price action indicators like SMA and Support and Resistance and RSI and EMA
Information Entropy - Reversal PointsDirectionless entry points based off entropy. The idea is that when the market reaches a level of measurable chaos that far exceeds the norm, that should theoretically be the point where the market is most likely going to pick a direction as it strives to reduce its randomness
Zero Lag EMA Multi-PeriodPeriods: We define three periods—20, 40, and 60—for calculating the ZEMA.
Separate Calculations: Each ZEMA calculation uses its respective period.
Plot: Each ZEMA is plotted with a unique color to distinguish them:
Blue for Period 20
Red for Period 40
Green for Period 60
This code will display three lines on the chart, each representing a Zero Lag EMA for the specified periods.
200SMA & 8EMA IndicatorsHere’s a script for TradingView in Pine Script that implements the indicators you requested:
- **SMA (200) of High, Low, and (High + Low + Close)/3**
- **EMA (8) of High, Low, and (High + Low + Close)/3**
Below is the code:
### Explanation of the Code:
1. **Inputs**: Allows customization of the lengths for SMA and EMA.
2. **Calculations**:
- SMA(200) is calculated for High, Low, and (High + Low + Close)/3.
- EMA(8) is calculated for the same parameters.
3. **Plotting**:
- Each SMA and EMA series is plotted on the chart with distinct colors for easy identification.
BT Custom Moving Averages (410, 130, 150, 770 Days)Custom Moving Averages: This refers to a set of moving averages calculated over specific time periods, tailored to unique analytical needs. The moving averages in this case are based on the following day intervals:
410-Day Moving Average: Tracks the trend over a long-term period of 410 days.
130-Day Moving Average: Represents a medium-term trend, offering insight into shorter fluctuations compared to the 410-day average.
150-Day Moving Average: Similar to the 130-day average but slightly longer, providing a nuanced view of medium-term movements.
770-Day Moving Average: Captures ultra-long-term trends, smoothing out the effects of seasonal or cyclical variations.
These moving averages are customized to provide a comprehensive view of trends across multiple time horizons, often used for specialized analysis in fields like finance, trading, or data science.
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))
GT's Opening Price LineDraws one opening price line from the timeframe that you select. You're Welcome and may your trading never be the same.
GT's Opening Price LineDraws one opening price line from the timeframe that you select. You're Welcome and may your trading never be the same.