Advanced Support and Resistance Zones with Buy/Sell Signalsimport ccxt
import pandas as pd
import numpy as np
import ta
# اتصال به بازار (مثال: Binance)
exchange = ccxt.binance()
# تنظیمات
symbol = 'BTC/USDT' # جفت معاملاتی
timeframe = '4h' # تایم‌فریم 4 ساعته
# دریافت داده‌های قیمتی
def fetch_data(symbol, timeframe, limit=100):
try:
ohlcv = exchange.fetch_ohlcv(symbol, timeframe=timeframe, limit=limit)
df = pd.DataFrame(ohlcv, columns= )
df = pd.to_datetime(df , unit='ms')
return df
except Exception as e:
print(f"خطا در دریافت داده‌ها: {e}")
return None
# محاسبه EMA
def calculate_ema(data, period):
return ta.trend.ema_indicator(data , window=period)
# محاسبه Fibonacci Retracement
def calculate_fibonacci_levels(data):
high = data .max()
low = data .min()
diff = high - low
levels = {
"0%": high,
"23.6%": high - 0.236 * diff,
"38.2%": high - 0.382 * diff,
"50%": high - 0.5 * diff,
"61.8%": high - 0.618 * diff,
"100%": low
}
return levels
# محاسبه Pivot Points
def calculate_pivot_points(data):
high = data .max()
low = data .min()
close = data .iloc
pivot = (high + low + close) / 3
r1 = (2 * pivot) - low
s1 = (2 * pivot) - high
r2 = pivot + (high - low)
s2 = pivot - (high - low)
return {"R1": r1, "S1": s1, "R2": r2, "S2": s2}
# شناسایی مناطق حمایت و مقاومت
def identify_support_resistance(data, ema_period=20):
support_zones = {}
resistance_zones = {}
# محاسبه EMA
ema = calculate_ema(data, ema_period)
ema_value = ema.iloc
# محاسبه Fibonacci Levels
fib_levels = calculate_fibonacci_levels(data)
# محاسبه Pivot Points
pivot_points = calculate_pivot_points(data)
# ترکیب ابزارها برای شناسایی مناطق
all_levels = list(fib_levels.values()) + + list(pivot_points.values())
for level in all_levels:
count = 0
if level in fib_levels.values():
count += 1
if abs(level - ema_value) < 100: # اگر EMA نزدیک باشد
count += 1
if level in pivot_points.values():
count += 1
if count >= 2: # حداقل دو ابزار تایید کننده
if level < data .iloc : # حمایت
support_zones = count
else: # مقاومت
resistance_zones = count
return support_zones, resistance_zones
# اجرای ربات
if __name__ == "__main__":
df = fetch_data(symbol, timeframe)
if df is not None:
support_zones, resistance_zones = identify_support_resistance(df)
print("مناطق حمایت:")
for zone, strength in support_zones.items():
print(f"قیمت: {zone}, قوت: {strength}")
print(" مناطق مقاومت:")
for zone, strength in resistance_zones.items():
print(f"قیمت: {zone}, قوت: {strength}")
Trend Analysis
ATR Levels and Zones with Signals📌 ATR Levels and Zones with Signals – User Guide Description
🔹 Overview
The ATR Levels and Zones with Signals indicator is a volatility-based trading tool that helps traders identify:
✔ Key support & resistance levels based on ATR (Average True Range)
✔ Buy & Sell signals triggered when price enters key ATR zones
✔ Breakout confirmations to detect high-momentum moves
✔ Dynamic Stop-Loss & Take-Profit suggestions
Unlike traditional ATR bands, this indicator creates layered ATR zones based on multiple ATR multipliers, allowing traders to gauge volatility and risk-adjust their trading strategies.
🔹 How It Works
🔸 The script calculates a baseline SMA (Simple Moving Average) of the price.
🔸 ATR (Average True Range) is then used to create six dynamic price levels above & below the baseline.
🔸 These levels define different risk zones—higher levels indicate increased volatility and potential trend exhaustion.
📈 ATR Zones Explained
🔹 Lower ATR Levels (Buying Opportunities)
📉 Lower Level 1-2 → Mild Oversold Zone (Potential trend continuation)
📉 Lower Level 3-4 → High Volatility Buy Zone (Aggressive traders start scaling in)
📉 Lower Level 5-6 → Extreme Oversold Zone (High-Risk Reversal Area)
🔹 If price enters these lower zones, it may indicate a potential buying opportunity, especially if combined with trend reversal confirmation.
🔹 Upper ATR Levels (Selling / Take Profit Zones)
📈 Upper Level 1-2 → Mild Overbought Zone (Potential pullback area)
📈 Upper Level 3-4 → High Volatility Sell Zone (Aggressive traders start scaling out)
📈 Upper Level 5-6 → Extreme Overbought Zone (High-Risk for Reversal)
🔹 If price enters these upper zones, it may indicate a potential selling opportunity or trend exhaustion, especially if momentum slows.
🔹 Sensitivity Modes
🔹 Aggressive Mode (More Frequent Signals) → Triggers buy/sell signals at Lower/Upper Level 3 & 4
🔹 Conservative Mode (Stronger Confirmation) → Triggers buy/sell signals at Lower/Upper Level 5 & 6
📌 Choose the mode based on your trading style:
✔ Scalpers & short-term traders → Use Aggressive Mode
✔ Swing & trend traders → Use Conservative Mode for stronger confirmations
🚀 How to Use the Indicator
🔹 For Trend Trading:
✅ Buy when price enters the lower ATR zones (especially in uptrends).
✅ Sell when price enters the upper ATR zones (especially in downtrends).
🔹 For Breakout Trading:
✅ Breakout Buy: Price breaks above Upper ATR Level 3 → Momentum entry for trend continuation
✅ Breakout Sell: Price breaks below Lower ATR Level 3 → Momentum short opportunity
🔹 Stop-Loss & Take-Profit Suggestions
🚨 Stop-Loss: Suggested at Lower ATR Level 6 (for longs) or Upper ATR Level 6 (for shorts)
🎯 Take-Profit: Suggested at Upper ATR Level 3 (for longs) or Lower ATR Level 3 (for shorts)
🔹 Why This Indicator is Unique
✔ Multiple ATR layers for better risk-adjusted trading decisions
✔ Combines ATR-based zones with SMA trend confirmation
✔ Both aggressive & conservative trading modes available
✔ Includes automatic stop-loss & take-profit suggestions
✔ Breakout signals for momentum traders
📢 Final Notes
✅ Free & open-source for the TradingView community!
⚠ Risk Warning: Always confirm signals with other confluences (trend, volume, support/resistance) before trading.
📌 Developed by: Maddog Blewitt
📩 Feedback & improvements are welcome! 🚀
CryptoCipher Free (CCF)CryptoCipher Free (CCF) – User Guide
📌 Version: Open-Source | Educational Use Only
🚀 What is CryptoCipher Free (CCF)?
CryptoCipher Free (CCF) is a momentum and divergence-based indicator designed to help traders identify:
✅ Trend Reversals (WaveTrend & VWAP)
✅ Divergences (Bullish & Bearish)
✅ Money Flow Strength (Capital Inflows/Outflows)
✅ Momentum Shifts (Trigger Waves & RSI Signals)
Inspired by VuManChu Cipher B & Market Cipher, but fully custom-built, CCF combines key market indicators into one easy-to-use tool for crypto traders.
📈 Key Features & How to Use Them
🔹 1. WaveTrend Oscillator (WT) – Tracks Momentum
Green & Red Lines: Show momentum shifts.
Crossover Strategy:
Buy Signal = Green WT line crosses above Red WT line while oversold.
Sell Signal = Green WT line crosses below Red WT line while overbought.
🔹 2. Divergence Detection – Identifies Strengthening & Weakening Trends
Bullish Divergence (Green Label): Price is making lower lows, but momentum is rising → Potential Uptrend Reversal.
Bearish Divergence (Red Label): Price is making higher highs, but momentum is weakening → Potential Downtrend Reversal.
🔹 3. Money Flow Index (MFI) – Detects Market Pressure
Green Waves = Positive Money Flow (More Buying Pressure).
Red Waves = Negative Money Flow (More Selling Pressure).
Stronger & Wider Waves → Stronger Market Pressure.
🔹 4. VWAP Oscillator – Identifies Fair Value Zones
VWAP Above Zero = Overvalued Zone (Potential Reversal Down).
VWAP Below Zero = Undervalued Zone (Potential Reversal Up).
🔹 5. RSI & Stochastic RSI – Confirms Trend Strength
RSI Above 70 = Overbought (Potential Drop).
RSI Below 30 = Oversold (Potential Bounce).
Color-Coded for Quick Reading:
🔴 Red = Overbought
🟢 Green = Oversold
⚪ White = Neutral
🎯 Recommended Settings for Different Trading Styles
💰 Scalpers & Day Traders:
Lower Divergence Threshold (20-30) for more frequent but noisier signals.
Focus on VWAP & MFI confirmation for short-term trades.
📊 Swing Traders (Default Settings):
Keep Divergence Threshold at 30-35 for more reliable signals.
Look for WaveTrend crossovers & MFI waves aligning before entering trades.
⏳ Long-Term Investors (Higher Timeframes):
Increase Divergence Threshold (40-45) to filter out smaller moves.
Use VWAP & RSI for trend confirmations over larger periods (Daily/Weekly charts).
⚠️ Important Notes & Risk Management
No indicator is 100% accurate – always combine CCF with other analysis methods.
Use Stop-Loss & Risk Management to avoid unnecessary losses.
Crypto markets are highly volatile – adjust settings based on market conditions.CryptoCipher Free (CCF) is a powerful, all-in-one tool for momentum and divergence trading.
✅ Easy to Use – Designed for traders of all levels.
✅ Fully Customizable – Adjust sensitivity, colors, and alerts.
✅ Open-Source & Free – Use it, modify it, and learn from it.
Higher Highs, Higher Lows, Lower Highs, Lower Lows//@version=5
indicator("Higher Highs, Higher Lows, Lower Highs, Lower Lows", overlay=true)
// Lookback period for swing detection
length = input(36)
// Detect swing highs and lows
swingHigh = ta.highest(high, length) == high
swingLow = ta.lowest(low, length) == low
// Track previous highs and lows
var float prevHigh = na
var float prevLow = na
var float lastHigh = na
var float lastLow = na
if swingHigh
prevHigh := lastHigh
lastHigh := high
if swingLow
prevLow := lastLow
lastLow := low
// Determine structure: HH, HL, LH, LL
isHH = swingHigh and lastHigh > prevHigh
isHL = swingLow and lastLow > prevLow
isLH = swingHigh and lastHigh < prevHigh
isLL = swingLow and lastLow < prevLow
// Plot labels for HH, HL, LH, LL
labelOffset = 10
if isHH
label.new(x=time, y=high, text="HH", color=color.green, textcolor=color.white, size=size.small, style=label.style_label_down)
if isHL
label.new(x=time, y=low, text="HL", color=color.blue, textcolor=color.white, size=size.small, style=label.style_label_up)
if isLH
label.new(x=time, y=high, text="LH", color=color.red, textcolor=color.white, size=size.small, style=label.style_label_down)
if isLL
label.new(x=time, y=low, text="LL", color=color.orange, textcolor=color.white, size=size.small, style=label.style_label_up)
// Draw connecting lines
var line hhLine = na
var line hlLine = na
var line lhLine = na
var line llLine = na
if isHH
hhLine := line.new(x1=bar_index , y1=prevHigh, x2=bar_index, y2=lastHigh, width=2, color=color.green)
if isHL
hlLine := line.new(x1=bar_index , y1=prevLow, x2=bar_index, y2=lastLow, width=2, color=color.blue)
if isLH
lhLine := line.new(x1=bar_index , y1=prevHigh, x2=bar_index, y2=lastHigh, width=2, color=color.red)
if isLL
llLine := line.new(x1=bar_index , y1=prevLow, x2=bar_index, y2=lastLow, width=2, color=color.orange)
RSI RitzThis script places a buy order when buy conditions are met and closes the position when the sell conditions trigger. You can adjust the RSI threshold if needed. Buy condition when rsi cross over certain number and sell signal by RSI cross down certain number given to strategy.
fairas Gold ScalpingStrategi trading emas dapat dilakukan dengan memperhatikan pergerakan nilai dolar AS, karena nilai dolar AS sering dikaitkan dengan harga emas.
Strategi trading emas
Saat diprediksi nilai dolar AS akan menurun, maka trader akan memasang posisi buy XAU/USD.
Emas dianggap sebagai tempat berlindung yang paling aman, biasanya mampu bertahan terhadap gejolak pasar dan mempertahankan nilainya dalam periode penurunan ekonomi.
Trading emas secara online
Trading emas secara online adalah perdagangan secara virtual tanpa melibatkan perpindahan aset secara fisik.
Transaksi yang dilakukan lebih simpel, aman, dan hemat biaya.
Waktu terbaik trading emas
Waktu emas paling banyak diperdagangkan adalah sekitar pukul 15.00 – 23.00 (GMT+3).
Perdagangan emas digital
Transaksi logam mulia digital itu sah dan halal.
MUI membolehkan transaksi jual beli emas digital.
Super Strategy by WEALTHCREATORTRADE [All Timeframes]Super Hit Gold Trading Strategy of WEALTHCREATORTRADE
Reversal Trade strategya simple trading strategy based on the reversal candlestick pattern (Morning/Evening star).
fairas Gold ScalpingStrategi price action adalah strategi perdagangan yang didasarkan pada analisis pergerakan harga aset keuangan.
Penjelasan
Price action adalah analisis teknis yang berfokus pada hubungan harga pasar saat ini dengan harga masa lalu.
Price action berbeda dengan sebagian besar analisis teknis lainnya karena tidak bergantung pada nilai "bekas" dari riwayat harga.
Price action lebih memahami inti perdagangan daripada menggunakan pengenalan pola grafik atau menerapkan indikator teknis.
Studi tentang price action membantu memahami pergerakan harga dan memiliki jeda alami.
Price action membantu memahami hubungan harga pasar saat ini dengan harga masa lalu atau terkini.
EMA POD Indicator #gangesThis script is a technical analysis indicator that uses multiple Exponential Moving Averages (EMAs) to identify trends and track price changes in the market. Here's a breakdown:
EMA Calculation: It calculates six different EMAs (for periods 5, 10, 20, 50, 100, and 150) to track short- and long-term trends.
Trend Identification:
Uptrend: The script identifies an uptrend when the EMAs are in ascending order (EMA5 > EMA10 > EMA20 > EMA50 > EMA100 > EMA150).
Downtrend: A downtrend is identified when the EMAs are not in ascending order.
Trend Change Tracking: It tracks when an uptrend starts and ends, displaying the duration of the trend and the percentage price change during the trend.
Visuals:
It plots the EMAs on the chart with different colors.
It adds green and red lines to represent the ongoing uptrend and downtrend.
Labels are displayed showing when the uptrend starts and ends, along with the trend's duration and price change percentage.
In short, this indicator helps visualize trends, track their changes, and measure the impact of those trends on price.
Tillson T3 Moving Average (improved)T3 Moving Average – Advanced Smoothing for Trend Analysis
Overview
The Tillson T3 Moving Average (T3 MA) is a superior smoothing moving average that reduces lag while maintaining responsiveness to price changes. Unlike traditional moving averages such as SMA, EMA, or WMA, the T3 applies multiple levels of smoothing, making it more adaptive to market conditions.
How It Works
The T3 MA is an exponentially smoothed moving average with a factor that controls the level of smoothing. This multi-layered smoothing process allows it to:
✅ React faster than a standard EMA while still filtering out market noise.
✅ Smooth out price fluctuations better than SMA or WMA, reducing false signals.
✅ Reduce lag compared to traditional moving averages, making it useful for both trend identification and entry/exit decisions.
How to Use This Script
🔹 Trend Identification – Use T3 MA as a dynamic trend filter. Price above T3 signals an uptrend, while price below signals a downtrend.
🔹 Direction Signal – The direction of the T3 MA (i.e. sloping upwards or downwards) can itself be used as a signal. The script allows the MA line to be colored, so it's easier to spot.
🔹 Crossover Signals – Combine T3 with another moving average (e.g., a shorter T3 or EMA, SMA, etc.) to generate trade signals when they cross.
🔹 Support & Resistance – The T3 can act as dynamic support and resistance in trending markets.
Features of This Script
✅ Custom Source Selection – Apply T3 not just to price, but also to any indicator (e.g., RSI, volume, etc.).
✅ Customizable Length & Smoothing – Adjust how smooth and responsive the T3 MA is.
✅ Optional Color Changes – The T3 MA can dynamically change color based on trend direction, making it easier to read.
✅ Versatile for Any Strategy – Works well in trend-following, mean-reversion, and breakout trading systems.
This script is ideal for traders looking for a smoother, more adaptive moving average that reduces noise while remaining reactive to price action. 🚀
WMA EMA RSI with Multi-Timeframe TrendRSI indicator combined with 2 EMA and WMA lines, with an additional table showing the trend considered by RSI in multiple time frames:
Trend determination conditions:
- Uptrend = RSI is above both EMA and WMA lines
- Downtrend = RSI is below both EMA and WMA lines
The default time frames considered are:
- 5m
- 15m
- 1h
- 4h
(Will be updated in the future)
- Vinh -
Currency Strength [BY MYMADAMDIOR]The Currency Strength indicator displays the historical relative strength of 5 user selected currencies over a user selected period of time. Users can also display relative strength of currencies as a scatter plot, further informing on the evolution of currency strength.
🔶 SETTINGS
Display: Determines the type of data displayed by the indicator. By default, the trailing relative strength of currencies is displayed, with the other option displaying the scatter plot.
Timeframe: Timeframe period used to calculate currency relative strength.
🔹 Meter
Show Strength Meter: Displays the currency strength meter on the indicator panel.
Strength Meter Resolution: Resolution of the currency strength meter, higher resolutions allow to observe smaller difference in strength.
Location: Location of the currency strength meter on the indicator pane.
Size: Size of the currency strength meter.
🔹 Relative Strength Scatter Graph
Scatter Graph Resolution: Horizontal and vertical width of the scatter plot (in bars). Higher values allow a more precise position on the X axis.
🔶 USAGE
Measuring the relative strength of a currency allows users to assess the relative performance of a currency against a basket of other currencies.
The term "strength" can convey various interpretations depending on the indicator. Here "strength" is interpreted as an indicator of performance, with stronger currencies having greater performances over the selected period (positive changes of higher magnitude).
The Currency Strength indicator allows users to analyze the relative strength of currencies over a user selected period - the returned results will reset periodically and will accumulate afterward.
🔹 Scatter Graph
The scatter graph displays the relative strength of a currency over its value during the previous period. This not only allows users to see if a currency is strong... but also if it's getting stronger compared to the previous period.
In order to quickly interpret results, the graph is divided into four areas. A currency (displayed as a point) being in a specific area returns the following information:
Strong(Green): Currency has a positive relative strength (bullish) and is greater than its value over the previous period.
Improving (Yellow): Currency has a negative relative strength (bearish) and is greater than its value over the previous period.
Weakening (Aqua): Currency has a positive relative strength (bullish) and is lower than its value over the previous period.
Weak (Red): Currency has a negative relative strength (bearish) and is lower than its value over the previous period.
🔶 DETAILS
There is a wide variety of methods for the calculation of a currency's relative strength. The primary focus of the indicator is on the meter as well as the relative strength scatter graph. The currency strength calculation can be considered more basic.
Given two currencies, B (base) and Q (quote), the proposed indicator calculation process is as follows:
Exchange rate BQ(t) over time t is obtained, a rising value of BQ(t) means that a unit of B is now worth a higher amount of Q, highlighting strength of B over Q on that precise variation.
The individual relative strength over time IRS(t) is obtained as the percentage relatively close to the open difference of BQ(t), that is:
Window Seasonality IndicatorThis is a time window seasonal returns indicator. That is, it will provide the mean returns for a given time window based on a given number of lookbacks set by the user. The script finds matching time windows, e.g., 1st week of March going back 5 years or 9:00-10:00 window of every day going 50 days, and then calculates an average return for that window close price with respect to the close price in the immediately preceding time window, e.g. last week of February or 8:00-9:00 close price, respectively.
There are 4 input options:
1) Historical Periods to Average: Set the number of matching historical windows with which to calculate an average price. The max is 730 lookback windows. Note: for monthly or weekly windows, setting too large a number will cause the script to error out.
2) Use Open Price: calculates the seasonal returns using the open price rather than close price.
3) Show Bands: select from 1 Gaussian standard deviation or a nonparamateric ranked confidence interval. As a rough heuristic, the Gaussian band requires at least 30 lookback periods, and the ranked confidence interval requires 50 or more.
4) Upper Percentile: set the upper cutoff for ranked confidence interval.
5) Lower Percentile: set the lower cutoff for ranked confidence interval.
Please be aware, this indicator does not use rigorous statistical methodology and does not imply predictive power. You'll notice the range bands are very wide. Do not trade solely based on this indicator! Certain time windows, such as weekly and monthly, will make more sense applied to commodities, where annual cycles play a role in its supply and demand dynamics. Hourly windows are more useful in looking at equities markets. I like to look at equities with 1-hr windows to see if there is some pattern to overnight behavior or for market open and close.
Market Structure with Inside/Outside Bar by punukingIndicator with market structure & inside/outside bar
FutureFire v5 - 23/35 Candle Tracker with Custom ColorsThis indicator is designed to track the 23 and the 35 of every hour to help with identifying crucial swing points for intraday trading.
Basic Price Action IndicatorKey Features:
Support and Resistance: Identifies support and resistance levels based on the highest and lowest values of the last 20 bars (you can adjust the lookback period with the input).
Bullish Engulfing Pattern: Recognizes when a bullish engulfing candlestick pattern occurs and marks it below the bar.
Bearish Engulfing Pattern: Recognizes when a bearish engulfing candlestick pattern occurs and marks it above the bar.
Background Coloring: Highlights the chart background with a green or red color based on the pattern detected, providing an easy visual cue.
How to Use:
Support and Resistance levels will be plotted on the chart as green and red lines.
Bullish Engulfing patterns will be marked below the bars with a “BUY” label.
Bearish Engulfing patterns will be marked above the bars with a “SELL” label.
The background color will change based on the detected price action pattern (green for bullish, red for bearish).
Breakout indicatorThis indicator helps traders identify potential breakout levels based on the highest high and lowest low of the last N candles, inspired by the classic Turtle Trading strategy. The period (N) is fully customizable, allowing you to adapt it to your trading style. For daily charts, a period between 50 and 100 is recommended.
The indicator dynamically plots horizontal lines representing the highest high and lowest low over the selected period. These lines are updated in real-time as price action evolves. A breakout is confirmed when the price closes above the high line (for a bullish breakout) or below the low line (for a bearish breakout).
Customize the appearance of the lines with options for thickness, color, and style (solid, dotted, or dashed) to suit your chart preferences. Perfect for traders looking to implement a simple yet effective breakout strategy!
Key Features:
Editable period (N) for high/low calculation.
Real-time updates of high/low levels.
Customizable line thickness, color, and style.
Usage:
Use on daily charts for swing trading or position trading.
Combine with other indicators or price action analysis for better confirmation.
RSI - Vortex Cross Signals SCIORSI - Vortex Cross Signals SCIO, getting vortex and RSI crossover signals
FAIRAS OIL SWINGSwing trading adalah strategi perdagangan saham yang dilakukan dalam jangka waktu beberapa hari hingga minggu. Trader menggunakan strategi ini untuk mendapatkan keuntungan dari perubahan harga saham.
Cara kerja swing trading
Trader membeli saham ketika harga mengalami koreksi atau pembalikan sementara
Trader mempertahankan posisinya untuk beberapa hari atau minggu
Trader menjual saham kembali ketika pergerakan harga sudah sesuai keinginan
Risiko swing trading
Fluktuasi harga saham dalam waktu semalam
Kemungkinan tidak terjualnya saham
Dipengaruhi oleh volatilitas pasar
Tingginya biaya transaksi
Risiko overnight dan weekend, di mana harga bisa gap dan membuka sesi berikutnya dengan harga yang sangat berbeda
Tips swing trading
Gunakan analisis teknikal untuk mengidentifikasi perubahan harga saham dan peluang trading
Pilih saham dengan likuiditas dan volatilitas yang tinggi
Pilih saham dengan nilai kapitalisasi pasar yang besar atau large cap
Tentukan kapan baiknya membeli dan menjual saham
Tetapkan risk/reward ratio berdasarkan stop-loss dan profit target
fairas Gold ScalpingStrategi trading emas dapat dilakukan dengan memperhatikan pergerakan nilai dolar AS, karena nilai dolar AS sering dikaitkan dengan harga emas.
Strategi trading emas
Saat diprediksi nilai dolar AS akan menurun, maka trader akan memasang posisi buy XAU/USD.
Emas dianggap sebagai tempat berlindung yang paling aman, biasanya mampu bertahan terhadap gejolak pasar dan mempertahankan nilainya dalam periode penurunan ekonomi.
Trading emas secara online
Trading emas secara online adalah perdagangan secara virtual tanpa melibatkan perpindahan aset secara fisik.
Transaksi yang dilakukan lebih simpel, aman, dan hemat biaya.
Waktu terbaik trading emas
Waktu emas paling banyak diperdagangkan adalah sekitar pukul 15.00 – 23.00 (GMT+3).
Perdagangan emas digital
Transaksi logam mulia digital itu sah dan halal.
MUI membolehkan transaksi jual beli emas digital.
