Nuba 20//@version=6
indicator("Tilson T33", overlay=true)
// Parametreler
b = input.float(title="Factor", defval=0.7)
period = input.int(title="Period", defval=7)
linewidth = input.int(title="Linewidth", defval=3)
solidColor = input.bool(title="Solid Color", defval=false)
// T3 katsayıları
c1 = -b * b * b
c2 = 3 * b * b + 3 * b * b * b
c3 = -6 * b * b - 3 * b - 3 * b * b * b
c4 = 1 + 3 * b + b * b * b + 3 * b * b
// T3 hesaplama fonksiyonu
t3(len) =>
ema1 = ta.ema(close, len) // 1. EMA
ema2 = ta.ema(ema1, len) // 2. EMA
ema3 = ta.ema(ema2, len) // 3. EMA
ema4 = ta.ema(ema3, len) // 4. EMA
ema5 = ta.ema(ema4, len) // 5. EMA
ema6 = ta.ema(ema5, len) // 6. EMA
t3_value = c1 * ema6 + c2 * ema5 + c3 * ema4 + c4 * ema3 // Son T3 hesaplaması
t3_value
// Tilson T3 hesaplama
t3plot = t3(period)
// Trend renk değiştirme
color_t3 = solidColor ? color.aqua : (t3plot > t3plot ? color.green : color.red)
// T3 çizimi
plot(t3plot, color=color_t3, linewidth=linewidth)
// Alarm koşulu: T3 renk değiştiğinde alarm ver
alarm_condition = (t3plot > t3plot and t3plot <= t3plot ) or (t3plot < t3plot and t3plot >= t3plot )
// Alarmı tetikleyin
alertcondition(alarm_condition, title="T3 Renk Değiştirdi", message="Tilson T3 Renk Değiştirdi!")
Các mẫu biểu đồ
Liquidity Sweep and Order Block StrategyMY FAVORITE startegy pls try. most efficient best MY FAVORITE startegy pls try. most efficient best MY FAVORITE startegy pls try. most efficient best
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.
---
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?
Cevval's Future Long Short Percentage PredictionThis script is designed to calculate and display the dynamic win rates of long and short trades based on historical price data and various indicators. It calculates the long and short signals using price change, volume, and the Relative Strength Index (RSI). The script uses a simple moving average (SMA) to smooth out price changes and volume over a given period (14 bars in this case).
Long Signal is triggered when the price change is positive, RSI is above 50, and the volume exceeds the average volume.
Short Signal is triggered when the price change is negative, RSI is below 50, and the volume exceeds the average volume.
The script then counts the occurrences of long and short signals over the last 14 bars and calculates the win rate for both long and short trades. These win rates are plotted on the chart as percentage values, with the long win rate shown in green and the short win rate in red.
Additionally, dynamic labels are created next to the most recent bar, displaying the long and short win rates. These labels adjust their position according to the price of the most recent bar, ensuring they stay positioned correctly even when the chart is scrolled or zoomed.
In essence, the script offers a dynamic, real-time representation of the potential success rates of long and short trades based on price and volume data, allowing traders to make more informed decisions.
Fibonacci Extensions and Retracements for Selected TimeframesPurpose of the Script
This script plots Fibonacci levels (retracements and extensions) based on the high and low points of the previous day, previous week, or previous month. It is a trading aid to help identify potential support and resistance zones. These zones are often used by traders to determine entry or exit points for trades.
How It Works
Select Timeframe
The trader can choose whether to calculate Fibonacci levels based on the high and low points of the previous day, previous week, or previous month.
This is selected using the timeframe_input input.
Examples:
"D" for the previous day
"W" for the previous week
"M" for the previous month
Calculate Price Range
The script calculates the price range using the high and low of the selected timeframe:
Formula: price_range = High - Low
Draw Fibonacci Levels
Retracements: Within the price range, Fibonacci levels such as 12%, 23%, 38%, 50%, 61%, 78%, and 88% are calculated. These help identify potential support or resistance zones.
Extensions: Beyond the price range, Fibonacci extensions such as 127%, 161%, 200%, 224%, and 241% are plotted to indicate potential breakout targets.
Visualization
The script plots lines and labels for each level.
These lines extend to the right, providing real-time guidance during trading.
Colors and line styles can be customized to match personal preferences.
How to Use as a Trading Aid
Use Fibonacci Retracements:
Use retracements (e.g., 38%, 50%, 61%) to identify potential support or resistance zones.
Example: If the price dropped sharply the previous day, the retracement levels could act as support during a rebound.
Use Fibonacci Extensions:
Extensions help identify price targets when the price breaks above or below the high or low of the previous day, week, or month.
Example: After a breakout above the previous week’s high, the 127% or 161% level could serve as a target.
Adjust Timeframe:
Choose the timeframe that suits your strategy:
Intraday traders can use the previous day’s high and low.
Swing traders might prefer the previous week.
Long-term traders could work with the previous month.
Example
A trader selects the weekly timeframe (W) to analyze the high and low of the previous week:
The script calculates the price range based on the high and low of the previous week.
Fibonacci retracements (e.g., 50% and 61%) are drawn to identify potential support zones.
Fibonacci extensions (e.g., 127% and 161%) help define price targets for a potential breakout above or below the range.
Pivot PointsPivot Points Indicator
The Pivot Points indicator highlights areas on the chart where candles close in opposite colors. These points occur when the price shifts from bullish to bearish, or vice versa, indicating potential reversals or continuation patterns. These points are more easily seen on a line chart and represent areas where the price changes direction to create peak formations.
Foundational Concepts
Before diving into the indicator, it’s important to understand a few key concepts:
When price is trending upward, it creates higher highs and higher lows. Each high or low acts as a pivot point. In an uptrend, the price is more likely to break the previous high (pivot point) and continue higher. You can enter a buy trade when the price breaks the previous high, anticipating the continuation of the trend.
When price is trending downward, it creates lower lows and lower highs. Each high or low is also a pivot point. In a downtrend, the price is more likely to break the previous low (pivot point) and continue lower. You can enter a sell trade when the price breaks the previous low, anticipating the continuation of the trend.
For reversal trades, it’s helpful to be familiar with chart patterns like double tops, double bottoms, and head and shoulders. The Pivot Points indicator can assist in identifying these patterns, helping you determine entry points, as well as where to place your stop loss.
Recommended Setup
It’s recommended to have two charts open side by side: one displaying a line chart and the other showing a candlestick chart, with the Pivot Points indicator applied to both. This setup allows you to easily identify the market structure and price action as it approaches these levels. You can also add a 20-period Simple Moving Average (SMA) to both charts to help identify the overall trend. Additionally, consider adding the Relative Strength Index (RSI) to the line chart to confirm overbought or oversold conditions.
This approach can be used on any timeframe.
Contributing
If you have suggestions, improvements, or bug fixes, I encourage you to submit pull requests. Collaboration helps make the indicator more versatile and useful for everyone.
Disclaimer
Any trading decisions you make are entirely your responsibility.
The MetaTrader 5 version of this indicator is available on my GitHub repository: roshaneforde/pivot-points-indicator
Buyers vs Sellers % Buyers vs Sellers Imbalance Indicator
This indicator calculates the real-time imbalance between buyers and sellers to help traders understand market sentiment and momentum. It uses multiple factors to give accurate percentages for buying and selling pressure, making it a powerful tool for trend following, scalping, or swing trading.
How It Works
Candle Analysis
Breaks down each candle into its body, upper wick, and lower wick to evaluate buying or selling pressure.
Larger candles and wicks carry more weight in the calculation.
Volume Integration
Incorporates trading volume for more accurate buy/sell pressure percentages.
Trend Filter (9 EMA)
Identifies trends by analyzing whether the price is above or below the 9 EMA and whether it's acting as support or resistance.
Consolidation Detection
Uses market volatility (ATR) to detect choppy, sideways conditions and adjusts the calculations to avoid misleading signals.
Candlestick Patterns
Adjusts the percentages when specific bullish or bearish patterns (e.g., engulfing, morning star) are detected.
How to Use
Imbalance Shifts: Look for significant changes in the buy/sell percentages to identify momentum shifts.
Trend Confirmation: Combine the indicator with the 9 EMA trend filter to confirm uptrends (price above EMA) or downtrends (price below EMA).
Avoid Consolidation: Use the built-in consolidation detection to avoid trading during low-volatility, choppy conditions.
Customization
Lookback Period: Adjust the sensitivity of the indicator by changing the number of candles analyzed.
Trend Settings: Customize how the 9 EMA influences the calculations.
Flexibility: Choose where to display the percentages on your chart (top-left, top-right, etc.) for convenience.
Why Use It?
This indicator goes beyond simple buy/sell volume analysis by incorporating price action, volume, candlestick patterns, and trend dynamics. It helps traders make more informed decisions by providing a clearer picture of market sentiment.
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))
Support/Resistance & Supply/Demand Zones By Sun3rainSupport / Resistance & Supply / Demand Zones (SMC)
AI+VPS Strategy by Vijay Prasad AI+VPS by Vijay Prasad
Overview:
The "AI+VPS Strategy by Vijay Prasad " is an advanced trend-following trading strategy combining AI-powered VPS Divergence Strategy and WoW Trends methodology. It integrates the power of VPS , which identifies market volatility and trend strength, with RSI Divergence to detect potential price reversals. This strategy aims to provide accurate entry signals for both long and short positions, leveraging both trend momentum and divergence analysis for enhanced market predictions.
How It Works:
The strategy first checks if the WoW Trends indicator signals a change in trend (from bullish to bearish or vice versa).
It then applies the VPS condition to confirm volatility and trend strength.
If both conditions align (e.g., bullish trend, volatility breakout), a buy signal is generated. Conversely, if the conditions are bearish, a sell signal is triggered.
The system also analyzes RSI Divergence, using it to identify potential reversals and further confirm the trade direction.
Trade positions are managed with profit targets and automatic exit strategies.
"This strategy works best on shorter timeframes, like the 5-minute chart. For optimal results, use an ATR Multiplier of 2 and a VPS length of 8."
Strategy Logic:
WoW Trends + VPS Strategy : A combination of volatility-based trend conditions for more accurate entry signals.
VPS Divergence Strategy: Detects divergence between price and RSI to spot potential reversals, ensuring that trades are only taken when market conditions favor them.
Purple SMA Strategythe final indicator
trade for only 1 hour , find your entry and hold
get out when no x
us xed candedls as stop loss
protect your trade , hold your runners
Awesome Oscillator Twin Peaks Strategy
1. The indicator identifies both bullish and bearish twin peaks:
- Bullish: Two consecutive valleys below zero, where the second valley is higher than the first
- Bearish: Two consecutive peaks above zero, where the second peak is lower than the first
2. Visual elements:
- AO histogram with color-coding for increasing/decreasing values
- Triangle markers for confirmed twin peak signals
- Zero line for reference
- Customizable colors through inputs
3. Built-in safeguards:
- Minimum separation between peaks to avoid false signals
- Maximum time window for pattern completion
- Clear signal reset conditions
4. Alert conditions for both bullish and bearish signals
To use this indicator:
1. Add it to your TradingView chart
2. Customize the input parameters if needed
3. Look for triangle markers that indicate confirmed twin peak patterns
4. Optional: Set up alerts based on the signal conditions
Jojito's Secret SauceAll you have to do is set the levels you want to trade. Pick your EMAs. Trade the trend. You don't need the EMAs if you don't want them. Use the 4H chart and up and trading is on EZ mode. Working on adding alerts and some other functions like trend color etc.
Fibonacci Extensions and Retracements for Selected TimeframesPurpose of the Script
This script plots Fibonacci levels (retracements and extensions) based on the high and low points of the previous day, previous week, or previous month. It is a trading aid to help identify potential support and resistance zones. These zones are often used by traders to determine entry or exit points for trades.
How It Works
Select Timeframe
The trader can choose whether to calculate Fibonacci levels based on the high and low points of the previous day, previous week, or previous month.
This is selected using the timeframe_input input.
Examples:
"D" for the previous day
"W" for the previous week
"M" for the previous month
Calculate Price Range
The script calculates the price range using the high and low of the selected timeframe:
Formula: price_range = High - Low
Draw Fibonacci Levels
Retracements: Within the price range, Fibonacci levels such as 12%, 23%, 38%, 50%, 61%, 78%, and 88% are calculated. These help identify potential support or resistance zones.
Extensions: Beyond the price range, Fibonacci extensions such as 127%, 161%, 200%, 224%, and 241% are plotted to indicate potential breakout targets.
Visualization
The script plots lines and labels for each level.
These lines extend to the right, providing real-time guidance during trading.
Colors and line styles can be customized to match personal preferences.
How to Use as a Trading Aid
Use Fibonacci Retracements:
Use retracements (e.g., 38%, 50%, 61%) to identify potential support or resistance zones.
Example: If the price dropped sharply the previous day, the retracement levels could act as support during a rebound.
Use Fibonacci Extensions:
Extensions help identify price targets when the price breaks above or below the high or low of the previous day, week, or month.
Example: After a breakout above the previous week’s high, the 127% or 161% level could serve as a target.
Adjust Timeframe:
Choose the timeframe that suits your strategy:
Intraday traders can use the previous day’s high and low.
Swing traders might prefer the previous week.
Long-term traders could work with the previous month.
Example
A trader selects the weekly timeframe (W) to analyze the high and low of the previous week:
The script calculates the price range based on the high and low of the previous week.
Fibonacci retracements (e.g., 50% and 61%) are drawn to identify potential support zones.
Fibonacci extensions (e.g., 127% and 161%) help define price targets for a potential breakout above or below the range.
Ultimate Bollinger Bands Strategy v6Key Benefits of the Strategy
High Accuracy with Multi-Indicator Confirmation:
Combines Bollinger Bands, RSI, and a 50-period Moving Average for precise trend and momentum analysis.
Filters out false signals by aligning trades with strong trends and oversold/overbought conditions.
Consistent Profit Target:
Automatically calculates a profit target (default: 0.5%) for every trade.
Ensures trades exit at optimal levels, locking in profits and avoiding unnecessary risks.
Built-In Alerts:
Real-time Buy, Sell, and Exit alerts notify you when action is needed.
No need to monitor charts constantly—just set it up and stay informed.
Dynamic Risk Management:
Tracks market volatility with ATR (Average True Range), allowing for smarter stop-loss and take-profit decisions.
Protects your capital by minimizing losses in volatile markets like Gold.
User-Friendly Design:
Clear visual signals with arrows for Buy/Sell and squares for exits.
Intuitive settings make it accessible for beginners while powerful enough for advanced traders.
Versatility:
Works perfectly on Gold (XAU/USD) and can be adapted for other highly volatile forex pairs.
Optimized for multiple timeframes (15 min, 30 min, 1 hour).
Who Should Use This Strategy?
New Traders:
Learn disciplined trading with built-in risk management and automated profit targets.
Experienced Traders:
Leverage its high accuracy and multi-layer confirmation for consistent performance in volatile markets.
Part-Time Traders:
Set alerts and trade efficiently without constantly watching charts.
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))
Double Bottom[DBBUY]/Top[DTSELL] WITH KILLZONES [Dante123456]Indicator Overview**
The Double Top/Bottom indicator is a technical analysis tool designed to detect and label potential **Double Top** and **Double Bottom** patterns. These chart patterns are widely recognized as reversal signals, indicating a possible trend change.
- Double Top : This pattern forms after an uptrend and suggests a potential trend reversal to the downside. It occurs when the price reaches a peak (resistance level), pulls back, rises again to the same level, and then declines.
- Double Bottom : This pattern forms after a downtrend and suggests a potential trend reversal to the upside. It occurs when the price hits a low (support level), rallies, then drops again to the same level, and then rises.
How to Use the Indicator
1. Signals and Labels :
- The indicator will automatically label potential Double Bottom (Buy) signals with DBBUY and potential Double Top (Sell) signals with DTSELL. These labels will appear on the chart where the pattern is detected.
- The signals are calculated based on price action and pivot points, with additional confirmation using a Smoothed Moving Average (SMA). The price's interaction with the SMA is used as an additional support/resistance check.
2. Entry Strategy :
- Double Bottom (DBBUY) : If the indicator labels a potential ** Double Bottom **, you might consider opening a **Buy** position when the price breaks above the middle of the pattern (the neckline).
- ** Double Top (DTSELL) **: If the indicator labels a potential ** Double Top **, you might consider opening a **Sell** position when the price breaks below the middle of the pattern (the neckline).
3. Cooldown:
- To avoid overtrading and too many signals in a short time, a **cooldown period** is implemented. This ensures that after a confirmed signal, the indicator will not trigger another signal for a certain number of bars (set by the user).
4. SMA (Smoothed Moving Average):
- The indicator also displays a 200-period **SMA**, which acts as a reference for price trends. A bounce off the SMA could indicate support (for buy signals) or resistance (for sell signals).
5. Alerts
- Alerts are set up to notify the user when potential Double Bottom (Buy) or Double Top(Sell) patterns are detected. These alerts can be configured to trigger once per bar.
---
Risk and Rewards
Rewards:
- Trend Reversal Potential : Double Top and Double Bottom patterns are significant as they indicate potential reversals after a strong price movement. If the market is correctly identified, these patterns offer the possibility of entering a trend at a critical turning point.
- **Versatile Use**: The indicator can be used across multiple timeframes, allowing for short-term and long-term trading strategies.
- **SMA Confirmation**: The interaction with the **200 SMA** helps confirm the validity of support and resistance zones, improving the accuracy of the trade signals.
**Risks**:
- **False Signals**: Like any technical indicator, this tool is not foolproof. Price action can sometimes form patterns that appear to be Double Tops/Bottoms but do not lead to reversals. Therefore, it's essential to consider other factors and not rely solely on the pattern.
- **Market Conditions**: The indicator works best in markets with clear trends and when the price respects key levels (like support and resistance). In volatile or range-bound markets, the pattern signals may produce less reliable results.
- **Delay in Confirmation**: The confirmation of the pattern can sometimes occur too late, meaning the ideal entry point could have already passed. This is typical with any pattern-based strategy, as price confirmation is required before taking action.
**Managing Risk**:
- **Stop-Loss and Take-Profit**: Always use appropriate risk management techniques such as stop-loss and take-profit orders to protect against unexpected price movements. A good practice is to set the stop-loss just outside the pattern's key levels (above resistance for sell signals, below support for buy signals).
- **Avoid Overtrading**: The cooldown period feature helps reduce the risk of taking multiple trades in quick succession, which can be detrimental to your account.
---
### **Conditions for Using the Indicator**
1. **Market Conditions**: The Double Top and Double Bottom patterns are most effective in trending markets. In sideways or choppy markets, the patterns may lead to false signals, so it's essential to avoid using the indicator in such conditions.
2. **Pattern Confirmation**: The indicator relies on pivot points to detect the patterns. For greater accuracy, ensure that other technical analysis tools (such as volume analysis, RSI, MACD, or other trend-following indicators) are used to confirm the signals.
3. **Time Horizon**: The indicator allows you to adjust the look-back period (Time Horizon) to find both short-term and long-term patterns. Larger values are suitable for longer-term trend reversal patterns, while smaller values are better for more immediate reversal signals.
4. **SMA Support/Resistance**: The 200-period **SMA** acts as a filter for identifying strong support and resistance zones. If the price is above the SMA, bullish signals (Double Bottom) are prioritized, and if the price is below the SMA, bearish signals (Double Top) are favored.
5. KILLZONE SESSIONS AND FVG,BB,OB :
- I included the session killzones and fvg,odb,bb to aid you during your drading session
Conclusion
The **Double Top/Bottom ** indicator is a useful tool for identifying potential trend reversal patterns. It works by detecting key price pivots and labeling them with **"DBBUY"** or **"DTSELL"** to highlight entry points. However, as with all indicators, it should be used in conjunction with proper risk management and other forms of analysis to ensure the best chances of success.
Always be aware of the risks, such as false signals and the potential for overtrading. Properly manage your trades, set stop-loss and take-profit levels, and consider using additional confirmation tools for higher accuracy.
Happy trading!
PS
HELP ME REFINE IT IF YOU CAN
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.
---
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?
