One Candle Crypto Multitimeframe EA

One Candle Crypto Multitimeframe EA

Overview

One Candle Crypto EA is an automated trading system built around the 1-Candle Anchor Method, designed specifically for the 24/7 cryptocurrency market.
The EA reads the direction of the selected anchor candle, identifies the pullback zone, and executes structured entries using controlled layering.

This EA is suitable for traders who prefer clear entries, multi-timeframe confirmation, and disciplined, rule-based execution without risky techniques.

Core Concepts

1. Anchor Candle Logic

The EA detects the direction of the closed anchor candle:

• Close > Open → Buy-only mode

• Close < Open → Sell-only mode

• Doji → No trade

2. Structured Pullback Entry

Entries are executed only within the anchor candle’s pullback zone:

• BUY zone: Low → Close

• SELL zone: Close → High

Layer spacing automatically adapts based on the selected timeframe.

3. Multi-Timeframe Flexibility

Choose any timeframe from M1 up to MN1 as the anchor, depending on your preferred crypto trading style.

4. Controlled Execution

• No martingale

• No grid

• No arbitrage

• No unsafe averaging

All layers are linear, controlled, and limited by user-defined parameters.

5. Automatic Anchor Reset

When a new anchor candle begins:

• The EA closes all positions

• Resets all anchor parameters

• Starts the next cycle automatically

This ensures a clean and structured trading workflow.

Additional Features

• Customizable lot size

• Adjustable max layers

• Optional % target profit and % max loss per anchor

• Built for 24/7 crypto market conditions

• Works on all crypto pairs supported by your broker

• Clean code, no DLLs, no external dependencies

Who Is This EA For?

• Crypto traders who prefer simple, structured logic

• Traders who rely on price action and candle-based movement

• Users who want an automated pullback-entry system

• Those who prefer consistency and clarity over complex logic

Important Notice

This EA does not guarantee profits and does not predict future market results.
Users should test and adjust settings according to their own risk tolerance.