ERFAN1RAHMATI...ADX/EMA.1for backtest. this indicator is design for price prediction and anaysis and when the trend is red, two lines are drawn in color and when is is green ....other data can be changed and customized JUST FOR Test
Pine實用程式
LIT - Super Indicator by NoronFX - Cup TradesThis is a powerful indicator designed for liquidity traders, bringing together all the essential tools for professional trading. It includes:
The main market sessions
Mitigation minutes
Key liquidity points such as PDH/PDL, PWH/PWL, and PMH/PML
An intelligent checklist
Customizable features like a watermark and configurable labels.
RSI + MA Buy/Sell Signals//@version=5
indicator("RSI + MA Buy/Sell Signals", overlay=true)
// Inputs
rsiLength = input(14, title="RSI Length")
maLength = input(50, title="Moving Average Length")
oversold = input(30, title="Oversold Level")
overbought = input(70, title="Overbought Level")
// RSI and Moving Average
rsi = ta.rsi(close, rsiLength)
ma = ta.sma(close, maLength)
// Buy Condition
buySignal = ta.crossover(rsi, oversold) and close > ma
// Sell Condition
sellSignal = ta.crossunder(rsi, overbought) and close < ma
// Plot Signals
plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Plot Moving Average
plot(ma, title="Moving Average", color=color.blue)
EMA Crossover + RSI Filter (1-Hour)//@version=5
strategy("EMA Crossover + RSI Filter (1-Hour)", overlay=true)
// Input parameters
fastLength = input.int(9, title="Fast EMA Length")
slowLength = input.int(21, title="Slow EMA Length")
rsiLength = input.int(14, title="RSI Length")
overbought = input.int(70, title="Overbought Level")
oversold = input.int(30, title="Oversold Level")
// Calculate EMAs
fastEMA = ta.ema(close, fastLength)
slowEMA = ta.ema(close, slowLength)
// Calculate RSI
rsi = ta.rsi(close, rsiLength)
// Buy Condition
buyCondition = ta.crossover(fastEMA, slowEMA) and rsi > 50 and rsi < overbought
// Sell Condition
sellCondition = ta.crossunder(fastEMA, slowEMA) and rsi < 50 and rsi > oversold
// Plot EMAs
plot(fastEMA, color=color.blue, title="Fast EMA")
plot(slowEMA, color=color.red, title="Slow EMA")
// Plot Buy/Sell Signals
plotshape(series=buyCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=sellCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Execute Trades
if (buyCondition)
strategy.entry("Buy", strategy.long)
if (sellCondition)
strategy.entry("Sell", strategy.short)
Litecoin LTC Logarithmic Fibonacci Growth CurvesHOW THIS SCRIPT IS ORIGINAL: there is no similar script dedicated to LTC, although there are similar ones dedicated to BTC. (This was created by modifying an old public and open source similar script dedicated to BTC.)
WHAT THIS SCRIPT DOES: draws a channel containing the price of LTC within which the Fibonacci extensions are highlighted. The reference chart to use is LTC/USD on Bitfinex (because it has the oldest data, given that Tradingview has not yet created an LTC index), suggested with weekly or monthly timeframe.
HOW IT DOES IT: starting from two basic curves that average the upper and lower peaks of the price, the relative Fibonacci extensions are then built on the basis of these: 0.9098, 0.8541, 0.7639, 0.618, 0.5, 0.382, 0.2361, 0.1459, 0.0902.
HOW TO USE IT: after activating the script you will notice the presence of two areas of particular interest, the upper area, delimited in red, which follows the upper peaks of the price, and the lower area, delimited in green, which follows the lower peaks of the price. Furthermore, the main curves, namely the two extremes and the median, are also projected into the future to predict an indicative trend. This script is therefore useful for understanding where the price will go in the future and can be useful for understanding when to buy (near the green lines) or when to sell (near the red lines). It is also possible to configure the script by choosing the colors and types of lines, as well as the main parameters to define the upper and lower curve, from which the script deduces all the other lines that are in the middle.
Very easy to read and interpret. I hope this description is sufficient, but it is certainly easier to use it than to describe it.
Wyckoff Advanced StrategyInterpreta las señales en el gráfico:
Zonas de acumulación/distribución:
Zonas de acumulación: Se resaltan en un color verde suave (transparente) cuando el precio está por encima del rango medio y el volumen es alto.
Zonas de distribución: Se resaltan en un color rojo suave cuando el precio está por debajo del rango medio y el volumen es alto.
Eventos clave (Wyckoff):
Selling Climax (SC): Un triángulo verde marca un punto donde el precio alcanza un mínimo significativo con un volumen alto.
Automatic Rally (AR): Un triángulo rojo indica un pico tras un rally automático.
Spring y Upthrust: Círculos verdes y rojos que identifican posibles reversiones clave.
Sign of Strength (SOS) y Sign of Weakness (SOW): Señales de fortaleza o debilidad representadas como etiquetas azules (SOS) y púrpuras (SOW).
Líneas de soporte/resistencia:
Líneas horizontales rojas (resistencia) y verdes (soporte) indican los extremos del rango de precio detectado.
Análisis de volumen (opcional):
Las barras con volumen alto se resaltan en azul y las de volumen bajo en amarillo, si habilitas esta opción.
Ajusta la configuración según tu análisis:
El indicador tiene opciones para personalizar los colores y mostrar análisis de volumen. Puedes activarlas/desactivarlas según tu preferencia en los parámetros del indicador.
Cómo interpretar los eventos principales:
Fases Wyckoff:
Usa las zonas resaltadas (verde y rojo) para identificar si estás en acumulación o distribución.
Busca eventos clave (SC, AR, Spring, Upthrust, etc.) que marquen cambios importantes en el mercado.
Tendencia futura:
Si detectas un Sign of Strength (SOS), es posible que el precio entre en una tendencia alcista.
Si aparece un Sign of Weakness (SOW), es más probable que el precio entre en una tendencia bajista.
Soportes y resistencias:
Las líneas horizontales te ayudan a identificar niveles críticos donde el precio podría rebotar o romper.
Volumen y momentum:
Analiza el volumen para validar rupturas, springs o upthrusts. Un volumen alto suele confirmar la fuerza de un movimiento.
Sugerencias para mejorar tu análisis:
Temporalidad: Prueba diferentes marcos temporales (1H, 4H, diario) para detectar patrones Wyckoff en distintos niveles.
Activos: Úsalo en activos líquidos como índices, criptomonedas, acciones o divisas.
Backtest: Aplica el script en datos históricos para validar cómo funciona en el activo que operas.
Buy/Sell AlgoThis script is an advanced trading software that harnesses real-time price data to provide the most accurate and timely buy signals:
📊 Real-Time Data: Continuously processes live market data to track price movements and identify key trends.
🔄 Advanced Algorithm: Leverages a dynamic crossover strategy between two moving averages (9-period short MA and 21-period long MA) to pinpoint optimal entry points with precision.
📍 Buy Signals: Automatically generates “BUY” signals when the short-term moving average crosses above the long-term moving average, reflecting a high-probability trend reversal to the upside.
🟩 Visual Indicators: Candle bars are dynamically colored green during bullish signals, providing clear visual confirmation for buyers.
Gold Trade Setup Strategy BrokerirProfitable Gold Setup Strategy with Adaptive Moving Average & Supertrend – Brokerir’s Exclusive Strategy
Introduction:
This Gold (XAU/USD) trading strategy, developed by Brokerir, leverages the power of the Adaptive Moving Average (AMA) and Supertrend indicators to identify high-probability trade setups. This approach is designed to work seamlessly for both swing traders and intraday traders, optimizing trading times for maximum precision and profitability. The AMA helps in recognizing the prevailing market trend, while the Supertrend indicator confirms the best entry and exit points. This strategy is fine-tuned for Gold’s price movements, providing clear guidance for disciplined and profitable trading.
Strategy Components:
Adaptive Moving Average (AMA):
Responsive to Market Conditions: The AMA adjusts to market volatility, making it an ideal trend-following tool.
Trend Indicator: It acts as the primary tool for identifying the overall trend direction, reducing noise in volatile markets.
Supertrend:
Signal Confirmation: The Supertrend indicator provides reliable buy and sell signals by confirming the trend direction indicated by the AMA.
Trailing Stop-Loss: It also acts as a trailing stop-loss, helping to protect profits by dynamically adjusting as the market moves in your favor.
Trading Rules:
Trading Hours:
Trades should only be taken between 8:30 AM and 10:30 PM IST, avoiding low-volume periods to reduce market noise and increase the probability of successful setups.
Buy Setup:
Trend Confirmation: Ensure the Adaptive Moving Average (AMA) is green, confirming an uptrend.
Signal Confirmation: Wait for the Supertrend to turn green, confirming the continuation of the uptrend.
Trigger: Enter the trade when the high of the trigger candle (the candle that turned the Supertrend green) is broken.
Sell Setup (Optional):
If seeking short trades, reverse the rules:
The AMA and Supertrend should both be red, confirming a downtrend.
Enter the trade when the low of the trigger candle (the candle that turned the Supertrend red) is broken.
Stop-Loss and Targets:
Stop-Loss Placement: Set the stop-loss at the low of the trigger candle for long trades.
Risk-Reward Ratio: Aim for a 1:2 risk-reward ratio or use the Supertrend line as a trailing stop-loss, adjusting the stop-loss as the market moves in your favor.
Timeframes:
Swing Trading: Best suited for 1-hour (1H), 4-hour (4H), or Daily charts to capture larger price moves.
Intraday Trading: For more precise, quick setups, use 15-minute (15M) or 30-minute (30M) charts.
Why This Strategy Works:
Combination of Indicators: The strategy combines trend-following (AMA) with momentum-based entries (Supertrend), allowing you to enter trades at the optimal points in the market.
Filtered Trading Hours: Focusing on specific trading hours (8:30 AM to 10:30 PM IST) helps to filter out low-probability setups, reducing noise.
Clear Entry, Stop-Loss, and Target: Precise entry points, stop-loss placement, and targets ensure disciplined and calculated risk-taking.
Conclusion:
This Brokerir Gold Setup Strategy is tailored for traders who are seeking a structured and effective approach to trading Gold. By combining the power of AMA and Supertrend, traders can make informed, high-probability trades. Adhering to the specified trading hours, along with strict rules for entry, stop-loss, and profit targets, helps ensure consistent results. Remember to backtest the strategy and adjust based on market conditions. Let’s master the Gold market and maximize profits together!
⚡ Stay tuned with Brokerir for more advanced trading strategies and tips!
My strategyimport pandas as pd
import ta
import time
from dhan import DhanHQ
# Dhan API Credentials
API_KEY = "your_api_key"
ACCESS_TOKEN = "your_access_token"
dhan = DhanHQ(api_key=API_KEY, access_token=ACCESS_TOKEN)
# Strategy Parameters
SYMBOL = "RELIANCE" # Replace with your stock symbol
INTERVAL = "1min" # Scalping requires a short timeframe
STOPLOSS_PERCENT = 0.2 # Stop loss percentage (0.2% per trade)
TARGET_RR_RATIO = 2 # Risk-Reward Ratio (1:2)
QUANTITY = 10 # Number of shares per trade
def get_historical_data(symbol, interval="1min", limit=50):
"""Fetch historical data from Dhan API."""
response = dhan.get_historical_data(symbol=symbol, interval=interval, limit=limit)
if response == "success":
df = pd.DataFrame(response )
df = df .astype(float)
df = df .astype(float)
df = df .astype(float)
df = df .astype(float)
return df
else:
raise Exception("Failed to fetch data: ", response )
def add_indicators(df):
"""Calculate EMA (9 & 20), VWAP, and RSI."""
df = ta.trend.ema_indicator(df , window=9)
df = ta.trend.ema_indicator(df , window=20)
df = ta.volume.volume_weighted_average_price(df , df , df , df )
df = ta.momentum.rsi(df , window=14)
return df
def check_signals(df):
"""Identify Buy and Sell signals based on EMA, VWAP, and RSI."""
latest = df.iloc
# Buy Condition
if latest > latest and latest > latest and 40 <= latest <= 60:
return "BUY"
# Sell Condition
if latest < latest and latest < latest and 40 <= latest <= 60:
return "SELL"
return None
def place_order(symbol, side, quantity):
"""Execute a market order."""
order_type = "BUY" if side == "BUY" else "SELL"
order = dhan.place_order(symbol=symbol, order_type="MARKET", quantity=quantity, transaction_type=order_type)
if order == "success":
print(f"{order_type} Order Placed: {order }")
return float(order ) # Return entry price
else:
raise Exception("Order Failed: ", order )
def scalping_strategy():
position = None
entry_price = 0
stoploss = 0
target = 0
while True:
try:
# Fetch and process data
df = get_historical_data(SYMBOL, INTERVAL)
df = add_indicators(df)
signal = check_signals(df)
# Execute trade
if signal == "BUY" and position is None:
entry_price = place_order(SYMBOL, "BUY", QUANTITY)
stoploss = entry_price * (1 - STOPLOSS_PERCENT / 100)
target = entry_price + (entry_price - stoploss) * TARGET_RR_RATIO
position = "LONG"
print(f"BUY @ {entry_price}, SL: {stoploss}, Target: {target}")
elif signal == "SELL" and position is None:
entry_price = place_order(SYMBOL, "SELL", QUANTITY)
stoploss = entry_price * (1 + STOPLOSS_PERCENT / 100)
target = entry_price - (stoploss - entry_price) * TARGET_RR_RATIO
position = "SHORT"
print(f"SELL @ {entry_price}, SL: {stoploss}, Target: {target}")
# Exit logic
if position:
current_price = df .iloc
if (position == "LONG" and (current_price <= stoploss or current_price >= target)) or \
(position == "SHORT" and (current_price >= stoploss or current_price <= target)):
print(f"Exiting {position} @ {current_price}")
position = None
time.sleep(60) # Wait for the next candle
except Exception as e:
print(f"Error: {e}")
time.sleep(60)
# Run the strategy
try:
scalping_strategy()
except KeyboardInterrupt:
print("Trading stopped manually.")
UT Bot Pro Final//@version=6
indicator("UT Bot Pro Final", overlay=true, max_lines_count=500)
// === INPUT PARAMETERS ===
// Core Settings
atr_multiplier = input.float(1.0, "ATR Multiplier", minval=0.5, maxval=5, step=0.1, group="Core Settings")
atr_period = input.int(6, "ATR Period", minval=1, maxval=20, group="Core Settings")
// Trend Filter
use_trend_filter = input.bool(true, "Enable Trend Filter", group="Trend Filter")
trend_length = input.int(50, "Trend SMA Period", minval=10, group="Trend Filter")
// Volume Filter
use_volume_filter = input.bool(true, "Enable Volume Filter", group="Volume Filter")
volume_ma_length = input.int(20, "Volume MA Period", minval=5, group="Volume Filter")
volume_threshold = input.float(1.25, "Volume Threshold %", step=0.1, group="Volume Filter")
// === CORE LOGIC ===
xATR = ta.atr(atr_period)
nLoss = atr_multiplier * xATR
price = close
// Trend Filter
trend_sma = ta.sma(price, trend_length)
valid_uptrend = not use_trend_filter or (price > trend_sma)
valid_downtrend = not use_trend_filter or (price < trend_sma)
// Volume Filter
volume_ma = ta.sma(volume, volume_ma_length)
volume_ok = volume > (volume_ma * volume_threshold)
// Trailing Stop
var float xATRTrailingStop = na
xATRTrailingStop := switch
na(xATRTrailingStop ) => price - nLoss
price > xATRTrailingStop and valid_uptrend => math.max(xATRTrailingStop , price - nLoss)
price < xATRTrailingStop and valid_downtrend => math.min(xATRTrailingStop , price + nLoss)
=> xATRTrailingStop
// Signal Generation
buy_signal = ta.crossover(price, xATRTrailingStop) and valid_uptrend and (use_volume_filter ? volume_ok : true)
sell_signal = ta.crossunder(price, xATRTrailingStop) and valid_downtrend and (use_volume_filter ? volume_ok : true)
// === VISUALS ===
plot(xATRTrailingStop, "Trailing Stop", color=color.new(color.purple, 0), linewidth=2)
plotshape(
buy_signal, "Buy", shape.triangleup,
location.belowbar, color=color.green,
text="BUY", textcolor=color.white, size=size.small)
plotshape(
sell_signal, "Sell", shape.triangledown,
location.abovebar, color=color.red,
text="SELL", textcolor=color.white, size=size.small)
// === ALERTS ===
alertcondition(buy_signal, "Long Entry", "Bullish breakout detected")
alertcondition(sell_signal, "Short Entry", "Bearish breakdown detected")
Futures_No-Trade-ZoneMarks the chart with a warning period before Futures market close (yellow) and when the market is actually closed (red).
Combined Indicators (Fractals, EMAs, CCI, Volume, SMMA)Combined Indicators (Fractals, EMAs, CCI, Volume, SMMA)
Buy/Sell Signals Boinger band//@version=5
indicator("Buy/Sell Signals", overlay=true)
// Define the Bollinger Band parameters
length = input(20, title="Bollinger Band Length")
stdDev = input(2.0, title="Bollinger Band Standard Deviation")
// Calculate the Bollinger Band
basis = ta.sma(close, length)
upper = basis + stdDev * ta.stdev(close, length)
lower = basis - stdDev * ta.stdev(close, length)
// Plot the Bollinger Band
plot(basis, color=color.new(color.blue, 0), linewidth=2)
plot(upper, color=color.red, linewidth=2)
plot(lower, color=color.green, linewidth=2)
// Define the buy signal conditions
lowerBandTouch = close <= lower
threeGreenCandles = close > open and close > open and close > open
// Define the sell signal conditions
upperBandTouch = close >= upper
threeRedCandles = close < open and close < open and close < open
// Generate the buy and sell signals
buySignal = lowerBandTouch and threeGreenCandles
sellSignal = upperBandTouch and threeRedCandles
// Plot the buy and sell signals
plotshape(buySignal, location=location.belowbar, color=color.green, style=shape.labelup, text="Buy")
plotshape(sellSignal, location=location.belowbar, color=color.red, style=shape.labeldown, text="Sell")
// Alert conditions
alertcondition(buySignal, title="Buy Signal", message="Buy signal generated!")
alertcondition(sellSignal, title="Sell Signal", message="Sell signal generated!")
WebHook Message GeneratorLibrary "WebHook_Message_Generator"
Goal: Simplify the order ticket generation for webhook message
This library has been created in order to simplify the webhook message generation process.
Instead of having to fidget around with string concatenations this method allows you to generate a JSON based message that contains the required information to automte your trades.
How to use?
1) import the library
2) Call the method: GenerateOT () (OT = OrderTicket)
3) Declare your orders:
3.1) Create instances for the buy/sell/close order tickets - store each one in a variable
3.2) Call the variable inside the strategy's function as a alert message: ( alert_message=VARIABLE ). You can use the appropriate strategy function depending on your order ticket exemple: strategy.entry(alert_message=LongOrderTicket) or strategy.entry(alert_message=ShortOrderTicket) or strategy.close(alert_message=CloseOrderTicket) or strategy.exit(alert_message=LongOrderTicket) ...
4) Set up the alerts to your webhook
5) IMPORTANT to set the alert's message : {{strategy.order.alert_message}}
DONE! You will now have a dynamic webhook message that will send the correct information to your automation service.
Got Questions, Modifications, Improvements?
Comment below or Private message me!
The method you can import:
GenerateOT(license_id, symbol, action, order_type, trade_type, size, price, tp, sl, risk, trailPrice, trailOffset)
CreateOrderTicket: Establishes a order ticket following appropriate guidelines.
Parameters:
license_id (string) : Provide your license id
symbol (string) : Symbol on which to execute the trade
action (string) : Execution method of the trade : "MRKT" or "PENDING"
order_type (string) : Direction type of the order: "BUY" or "SELL"
trade_type (string) : Is it a "SPREAD" trade or a "SINGLE" symbol execution?
size (float) : Size of the trade, in units
price (float) : If the order is pending you must specify the execution price
tp (float) : (Optional) Take profit of the order
sl (float) : (Optional) Stop loss of the order
risk (float) : Percent to risk for the trade, if size not specified
trailPrice (float) : (Optional) Price at which trailing stop is starting
trailOffset (float) : (Optional) Amount to trail by
Returns: Return Order string
Volatility Regime Indicator (VRI)This indicator allows you to weight 3 variables.
1. The term spread (3rd Month Vix Contract - VIX)
2.The Volatility Risk Premium (VIX - Historical Volatility) 10 day historical volatility by default
3.SPX Momentum (Short EMA vs Long EMA)
Play with the weightings and variable to suit your approach.
Double Screen Backtest Strategy//@version=5
indicator(shorttitle="BB", title="Bollinger Bands", overlay=true, timeframe="", timeframe_gaps=true)
length = input.int(20, minval=1)
maType = input.string("SMA", "Basis MA Type", options = )
src = input(close, title="Source")
mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev")
ma(source, length, _type) =>
switch _type
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
basis = ma(src, length, maType)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
offset = input.int(0, "Offset", minval = -500, maxval = 500)
plot(basis, "Basis", color=#FF6D00, offset = offset)
p1 = plot(upper, "Upper", color=#2962FF, offset = offset)
p2 = plot(lower, "Lower", color=#2962FF, offset = offset)
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))
Bedtime BackgroundJust a simple script to indicate when we wont be able to trade, a little help for manual backtesting to get more accurate results
VWAP and Price ConditionsThis Pine Script indicator overlays a Volume Weighted Average Price (VWAP) line on the chart, allowing traders to visualize price conditions relative to VWAP. It also provides signals when prices move above or below the VWAP, along with alerts for crossing events.
Features
1. VWAP Calculation:
*The VWAP is calculated for a specific session (e.g., market open to market close).
*It dynamically resets based on the defined session start and end times.
2. Customizable Inputs:
*Session Start Time: Define the session start time (e.g., market open at 9:30 AM).
*Session End Time: Define the session end time (e.g., market close at 4:00 PM).
*Show VWAP Line: Toggle to display or hide the VWAP line.
*Show Price Signals: Toggle to display or hide visual signals for price conditions.
3. Visual Signals:
*Green Triangle: Indicates that the price is above the VWAP.
*Red Triangle: Indicates that the price is below the VWAP.
4. Alerts:
*Alert when the price crosses above the VWAP.
*Alert when the price crosses below the VWAP.
CAD CHF JPY (Index) vs USDDescription:
Analyze the combined performance of CAD, CHF, and JPY against the USD with this customized Forex currency index. This tool enables traders to gain a broader perspective of how these three currencies behave relative to the US Dollar by aggregating their movements into a single index. It’s a versatile tool designed for traders seeking actionable insights and trend identification.
Core Features:
Flexible Display Options:
Choose between Line Mode for a simplified view of the index trend or Candlestick Mode for detailed analysis of price action.
Custom Weight Adjustments:
Fine-tune the weight of each currency pair (USD/CAD, USD/CHF, USD/JPY) to better reflect your trading priorities or market expectations.
Moving Average Integration:
Add a moving average to smooth the data and identify trends more effectively. Choose your preferred type: SMA, EMA, WMA, or VWMA, and configure the number of periods to suit your strategy.
Streamlined Calculation:
The index aggregates data from USD/CAD, USD/CHF, and USD/JPY using a weighted average of their OHLC (Open, High, Low, Close) values, ensuring accuracy and adaptability to different market conditions.
Practical Applications:
Trend Identification:
Use the Line Mode with a moving average to confirm whether CAD, CHF, and JPY collectively show strength or weakness against the USD. A rising trendline signals currency strength, while a declining line suggests USD dominance.
Weight-Based Analysis:
If CAD is expected to lead, adjust its weight higher relative to CHF and JPY to emphasize its influence in the index. This customization makes the indicator adaptable to your market outlook.
Actionable Insights:
Identify key reversal points or breakout opportunities by analyzing the interaction of the index with its moving average. Combined with other technical tools, this indicator becomes a robust addition to any trader’s toolkit.
Additional Notes:
This indicator is a valuable resource for comparing the collective behavior of CAD, CHF, and JPY against the USD. Pair it with additional oscillators or divergence tools for a comprehensive market overview.
Perfect for both intraday analysis and swing trading strategies. Combine it with EUR GPB AUD (Index) indicator.
Good Profits!
EUR GBP AUD (Index) vs USDDescription:
This indicator calculates a weighted index using three major Forex pairs (EUR/USD, GBP/USD, AUD/USD) to represent their collective performance against the US Dollar (USD). With added functionality for moving averages, it provides a comprehensive tool for analyzing market trends, tracking momentum, and customizing strategies. Offers a holistic view of how major currencies are performing relative to the USD, making it easier to identify market trends and their potential impacts.
Display Modes:
Line (Default): A dynamic line chart with color changes indicating whether the index is above or below 1 USD.
Candles: Japanese candlestick visualization for detailed price action analysis.
Customizable Weights:
Adjust the weight assigned to each currency pair (EUR/USD, GBP/USD, AUD/USD) to reflect your trading priorities. Default weights are balanced, but you can customize them to suit your strategy, ensuring the total does not exceed
Moving Average Integration:
Includes a fully customizable moving average:Choose from SMA, EMA, WMA, or VWMA.Adjust the period length (default: 50).The moving average is plotted alongside the index to help identify trends and key levels.
Weighted Average Calculation:
Uses OHLC (Open, High, Low, Close) data to compute a precise weighted average for the index.
How to Use:
The indicator is designed to track the collective performance of major currencies against the USD. Here are some examples of how it can be used:
Example 1: Trend Confirmation with Moving Averages
Overlay the index with the moving average to confirm trends:If the index is trading above the moving average and the line is green, it signals strength in the major currencies relative to the USD.If the index is below the moving average and the line is red, it suggests potential USD strength.
Example 2: Customize Analysis with Weighted Strategy
Adjust the weights for EUR/USD, GBP/USD, and AUD/USD based on your trading priorities. For instance:If you expect EUR/USD to outperform, increase its weight in the calculation.Use the candlestick mode to observe intraday price action near support/resistance levels for potential trade setups.
Example 3: Momentum Analysis with Trend CCI
Combine this index with your custom Trend CCI indicator to enhance momentum analysis and identify potential trading opportunities:
Rising Index + Trend CCI > +100: Indicates strong bullish momentum in major currencies against the USD. This could signal a continuation of the uptrend or a good time to hold long positions.
Falling Index + Trend CCI < -100: Suggests bearish momentum, indicating a potential continuation of USD strength and an opportunity for short trades or exiting long positions.
Trend CCI Divergence: If the index is rising but the Trend CCI starts to fall, this could indicate weakening bullish momentum and the potential for a reversal.
Explore More:
Check out my other scripts to find CAD CHF JPY (Index) vs USD as well.
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RSI Overbought/Oversold Strategy - Haisreeit should be work 4hrs 100% this 80 over bought and 20 over sold straregy.
