
This is a free pack of cTrader chart themes. These themes will not mess with the configurations of your chart templates, they will only change the colors of the chart.
How to Apply:
- Install the file like any other indicator—just double-click it.
- Add the indicator to your chart.
- Select your preferred theme.
- Once you're happy with the theme, remove the indicator from the chart.
- Save the theme as a chart template. You're done!
Looking for more cTrader tools? Check out the "More from this author" section below. You'll find a variety of indicators and cBots, including moving average alerts, fixed range volume profile, trendline alerts, and much more!
More from this author
Wskaźnik
breakout
VegaXLR - Fixed Range Volume Profile
Identify key support and resistance levels through detailed volume distribution analysis.
Wskaźnik
forex
VegaXLR - Chart Patterns Alerts
Enhance your trading strategy with automated detection and alerts for key chart patterns.
Wskaźnik
forex
VegaXLR - Moving Average Alerts
A powerful cTrader indicator with customizable Moving Average alerts, notifications, and automated trading actions.
Wskaźnik
rsi
VegaXLR - RSI and StochRSI Alerts
VegaXLR's cTrader StochRSI identifies overbought/oversold RSI levels for precise trade entries.
cBot
xauusd
VegaXLR - Profit Defender
cTrader Profit Defender: Safeguard Your Gains with Advanced Trailing Stops.
Możesz także polubić
Wskaźnik
breakout
Fx4U.Multi TimeFrame Support & Resistance
Allow trader to visualize Support & Resistance across different timeframes,give trader an overview of the current market
Wskaźnik
ai
BarSentiments
This Indicator is a technical analysis tool that measures the strength and direction of market sentiment
Wskaźnik
scalping
ACTO-v1
ACTO: Oscillator tracking average candle duration to anticipate volatility shifts in trading.
Wskaźnik
rsi
RT Stochastic RSI PRO
Unlock Stochastic RSI PRO in cTrader! Overlay RSI, highlight zones, and identify divergences with customizable settings.
Wskaźnik
indices
E7 BlackScholes Model
Option pricing using the BlackScholes model and the Math.Numerics packages