Daily High & Low with live Percentage change.

Pure Market Structure, Catching the Algo of Institutional move, Stay in the Game !! & know what's gonna happen Next.

3D candles for Normal OHLC candles.

Against The Herd - helping you trade against crowd sentiment for better entries.

Institutional Level Trend Direction at it's best for 2025 & Beyond.

Accurate Entries with SL & TP (ICT Displacement) for London & NY Session.

MARKET Orders (With Drag SL based on $ Risk)

This extraordinary multi-timeframe support and resistance indicator is nothing short of market wizardry.

Daily moving averages, simplified. Displays 3 daily moving averages on lower timeframes with selectable MA types.

"Footprint Chart: Visualize bid-ask volume inside candles for clearer order flow and market depth insights."

Engulfing Pattern Indicator

BullBear Dynamics helps traders detect and interpret the balance between bullish and bearish momentum

Market Profile TPO for cTrader — full auction logic, IB, POC, VA zones, histogram and O/X markers with time

Optimize exits with Chandelier Exit! Visualize stop-loss points dynamically for improved trading precision and safety.

The Weekly Daily Levels indicator shows the OHLC, and mid-point prices for the previous day and week.

Logarithmic Framework by LudwigICT

The purpose of the algorithm of the Boxify indicator is to try to put price action into zones, or better, boxes.

Liquidity Pressure Index is a tool that gives traders deeper insights into the hidden dynamics of market liquidity

Editions: Free (core VWAP + bands) · Pro (multi‑VWAP, click‑to‑anchor, alerts).

[Hamster-Coder] Pivot Points (Demo)

Advanced MA crossover indicator. All MA types supported. Clear signals with customizable arrows Perfect for all trader

Auto-detects Swing Highs/Lows to draw dynamic Support & Resistance levels with break tracking.

Candle Timer best used for Scalper

Final Stochastic Oscillator is a next-generation upgrade of the classic stochastic indicator

Project market behavior by integrating price and volume data across multiple time dimensions