Learn EAsiScript User Guide

Introduction
- Disclaimer
Basic Examples
Intermediate Examples
Advanced Examples (Complete Strategies)
Best Practices for Writing Scripts
Tips for Writing Scripts
Use AI to Create an EAsiScript Preset File
AI Prompt Examples

EAsiScript enables you to define sophisticated trading strategies through a clear and flexible syntax. At its core, EAsiScript uses expressions combining functions, operators, and indicators to drive trade decisions - from entry and exit points to stop losses and take profits. This guide will teach you step by step how to write effective scripts, with a focus on practical examples demonstrating key concepts like the ternary operator (?:), logical AND (&&), and logical OR (||) operators.

Disclaimer

The examples provided in this document are for educational purposes only and intended to demonstrate the functionality and application of EAsiScript. They have been generated as teaching examples and have not been tested in live market conditions. Before using any trading strategy, whether manually created or AI-generated:

Test thoroughly in a demo environment first
Validate across different market conditions and timeframes
Set appropriate position sizing and risk management parameters
Consider how the strategy may behave in extreme market conditions
Understand that past performance does not guarantee future results
Monitor strategy performance and be prepared to adjust parameters

Northen Trading Labs assumes no responsibility for any financial losses or other consequences arising from the use of these examples. Traders should develop their own testing procedures and risk management rules before deploying any strategy in a live trading environment.

The examples focus on demonstrating EAsiScript syntax and capabilities. A complete trading strategy requires additional considerations including:

Position sizing rules
Risk-reward requirements
Maximum drawdown limits
Market condition filters
Multiple timeframe analysis
Entry and exit confirmation rules

Basic Examples

These examples introduce fundamental EAsiScript concepts through simple, clear trading logic. Each example focuses on one key scripting technique, proper syntax, and function usage. Starting with built-in functions and basic price conditions, they provide the building blocks for more complex strategies. While intentionally simple, they follow best practices for bar referencing and decision making.

Example 1: Bar Direction

This example demonstrates how to use the BarTrend function to identify price direction.

Long Entry Script

BarTrend(1) == Bullish ? Ask() : 0

Purpose

Opens a buy trade when the last completed bar closes higher than it opened, showing a simple price direction filter.

Component Breakdown

Direction Check: BarTrend(1)
- Analyzes the last completed bar (shift=1)
- Returns Bullish (1) if close > open
Comparison: == Bullish
- Checks if bar trend matches Bullish value
- Uses predefined Bullish constant
Entry Price: Ask()
- Returns current ask price if condition is met
- 0 if condition is not met (no trade)

Key Points

Shows basic function usage with proper shift value
Demonstrates the ternary operator (?:)
Uses built-in constants
Implements clean entry logic

Note

This basic example can be enhanced by adding consecutive bar checks or volume confirmation.

Example 2: Price Range

This example shows how to use high and low price functions to identify trading ranges.

Long Entry Script

High(1) - Low(1) < ATR1(1) ? Ask() : 0

Purpose

Opens a buy trade when the last bar’s range is smaller than the average range, identifying potential consolidation periods.

Component Breakdown

Range Calculation: High(1) - Low(1)
- Finds the last bar’s total range
- Uses proper price functions
Comparison: < ATR1(1)
- Compares to average true range
- Identifies narrower than average bars
Entry Price: Ask()
- Returns current ask price if condition is met
- 0 if condition is not met (no trade)

Key Points

Shows price function usage
Demonstrates basic mathematical operations
Uses ATR for dynamic comparison
Implements range-based logic

Note

Ensure the ATR indicator is enabled in the Indicator’s List before running this script.

Example 3: Lower Highs

This example shows how to detect lower highs using the HighestHigh function.

Long Entry Script

HighestHigh(3) < HighestHigh(6) ? Ask() : 0

Purpose

Opens a buy trade when the highest high of the last 3 bars is lower than the highest high of the previous 3 bars, identifying a potential reversal point.

Component Breakdown

Recent High: HighestHigh(3)
- Finds highest high of last 3 bars
- Shows proper function usage
Extended High: HighestHigh(6)
- Finds highest high of last 6 bars
- Includes the recent 3 bars plus 3 earlier bars
Comparison: <
- Confirms lower highs pattern
- Shows proper operator usage

Key Points

Demonstrates HighestHigh function with different periods
Shows pattern detection technique
Uses clear comparison logic
Implements simple price analysis

Note

This basic pattern recognition can be used as a building block for more complex strategies.

Example 4: Volume Analysis

This example introduces basic volume analysis using the Volume function.

Long Entry Script

Volume(1) > Volume(2) * 1.5 ? Ask() : 0

Purpose

Opens a buy trade when the last bar’s volume is significantly higher than the previous bar’s volume, identifying increased market interest.

Component Breakdown

Current Volume: Volume(1)
- Gets volume of last completed bar
- Shows proper bar reference
Volume Increase: Volume(2) * 1.5
- Compares to previous bar’s volume
- Requires 50% volume increase
Entry Price: Ask()
- Returns current ask price if condition is met
- 0 if condition is not met (no trade)

Key Points

Shows Volume function usage
Demonstrates multiplication
Uses proper bar references
Implements volume-based logic

Note

Volume comparison provides a simple way to identify increased market activity.

Example 5: Cross Above Value

This example demonstrates how to detect when price crosses above a specific value.

Long Entry Script

Close(1) > MA1(1,0) && Close(2) <= MA1(2,0) ? Ask() : 0

Purpose

Opens a buy trade when price crosses above a moving average, showing basic cross detection.

Component Breakdown

Current Position: Close(1) > MA1(1,0)
- Confirms price is above MA
- Uses last completed bar
Previous Position: Close(2) <= MA1(2,0)
- Confirms price was below MA
- Uses bar before last
Entry Price: Ask()
- Returns current ask price if conditions are met
- 0 if conditions are not met (no trade)

Key Points

Shows proper cross detection technique
Demonstrates indicator value access
Uses multiple bar references
Implements basic AND logic

Note

Ensure the MA indicator is enabled in the Indicator’s List before running this script.

Example 6: High Pivot Detection

This example shows how to detect bars with strong bullish pivot patterns.

Long Entry Script

High(PP1(1,1,0,0xFFFFF)+1) <= High(1) ? Ask() : 0

Purpose

Opens a buy trade when the current bar’s high is greater than or equal to the high of the nearest pivot bar, indicating potential bullish reversal.

Component Breakdown

Pivot Reference: PP1(1,1,0,0xFFFFF)
- Gets the shift to nearest high pivot bar
- Buffer 1 = Pivot Order 1 shift values
- Rotation 0 for high pivot shifts
- Mask 0xFFFFF for lower 20 bits
High Comparison: High(PP1(1,1,0,0xFFFFF)+1) <= High(1)
- Compares pivot high to current bar
- +1 needed as PP1 returns shift from offset 1
Entry Price: Ask()
- Returns current ask price if condition is met
- 0 if condition is not met (no trade)

Key Points

Shows proper PP1 indicator usage
Demonstrates buffer and bit manipulation
Uses correct shift value adjustment
Implements pivot analysis logic

Note

Ensure the PP indicator is enabled in the Indicator’s List before running this script.

Example 7: RSI Level Check

This example shows how to check an indicator’s value against a threshold.

Long Entry Script

RSI1(1) < 30 ? Ask() : 0

Purpose

Opens a buy trade when RSI moves below 30, demonstrating simple oversold level detection.

Component Breakdown

RSI Check: RSI1(1)
- Gets RSI value at last completed bar
- Shows basic indicator value access
Threshold: < 30
- Compares to oversold level
- Uses simple comparison
Entry Price: Ask()
- Returns current ask price if condition is met
- 0 if condition is not met (no trade)

Key Points

Shows RSI indicator usage
Demonstrates value comparison
Uses proper bar reference
Implements level-based logic

Note

Ensure the RSI indicator is enabled in the Indicator’s List before running this script.

Example 8: Spread Check

This example demonstrates how to filter trades based on spread size.

Long Entry Script

Spread(1) <= ATR1(1) * 0.1 ? Ask() : 0

Purpose

Opens a buy trade when the spread is reasonable compared to average price movement, showing basic cost control.

Component Breakdown

Spread Size: Spread(1)
- Gets spread at last completed bar
- Shows spread function usage
Comparison: <= ATR1(1) * 0.1
- Compares to 10% of ATR
- Shows relative size check
Entry Price: Ask()
- Returns current ask price if condition is met
- 0 if condition is not met (no trade)

Key Points

Shows Spread function usage
Demonstrates relative comparison
Uses ATR for context
Implements cost-based filter

Note

Ensure the ATR indicator is enabled in the Indicator’s List before running this script.

Example 9: Time Filter

This example shows how to filter trades based on time of day.

Long Entry Script

TimeOfDay(9,30) == 0 ? Ask() : 0

Purpose

Opens a buy trade at exactly 9:30, demonstrating basic time-based entry rules.

Component Breakdown

Time Check: TimeOfDay(9,30) == 0
- Returns 0 at exactly 9:30, -1 before, 1 after
- Comparing to 0 matches the exact time
Entry Price: Ask()
- Returns current ask price if condition is met
- 0 if condition is not met (no trade)

Key Points

Shows TimeOfDay function usage
Demonstrates time-based logic
Uses simple condition
Implements scheduling control

Note

Times are based on your broker’s server time. Verify the correct time zone for your trading session.

Example 10: Signal Check

This example shows how to use an indicator’s built-in signals.

Long Entry Script

Signal('ST1') == Bullish ? Ask() : 0

Purpose

Opens a buy trade when the SuperTrend indicator signals a bullish move, showing basic signal detection.

Component Breakdown

Signal Check: Signal('ST1')
- Gets SuperTrend signal
- Shows signal function usage
Comparison: == Bullish
- Checks for bullish signal
- Uses predefined constant
Entry Price: Ask()
- Returns current ask price if condition is met
- 0 if condition is not met (no trade)

Key Points

Shows Signal function usage
Demonstrates indicator signals
Uses proper comparison
Implements signal-based logic

Note

Ensure the SuperTrend (ST1) indicator is enabled in the Indicator’s List before running this script.

Intermediate Examples

These examples demonstrate how to construct more sophisticated trading strategies by combining multiple components and conditions. Each example shows a complete trade management approach, using all relevant scripts (entry, stop loss, trailing stop, take profit, and breakeven). While more complex than the Basic Examples, they maintain clear logic and focus on one key trading concept at a time. By studying these examples, you’ll learn how different EAsiScript components work together to create robust trading strategies and how various scripts interact during the lifecycle of a trade. You’ll also see practical implementations of risk management concepts and how to adapt your strategy to changing market conditions.

Example 1: Moving Average Trend Strategy

This example demonstrates a trend-following strategy that combines moving average trend with price position and dynamic trade management.

Long Entry Script

Trend('MA1') == Bullish && Close(1) > MA1(1,0) && Low(1) > MA1(1,0) ? Ask() : 0

Long Initial SL Script

MA1(1,0) - ATR1(1)

Long Trailing SL Script

MA1(1,0) - ATR1(1) * 0.5

Long TP Script

OrderPrice() + (OrderPrice() - SL()) * 2

Long BE Script

OrderPrice() + ATR1(1)

Purpose

Creates a trend-following strategy that enters when price shows clear bullish momentum above the moving average, with comprehensive trade management based on market volatility.

Component Breakdown

Entry Conditions
- Trend('MA1') == Bullish: Confirms overall trend direction
- Close(1) > MA1(1,0): Price closed above MA
- Low(1) > MA1(1,0): Full bar above MA
Stop Loss Management
- Initial: One ATR below MA for trend protection
- Trailing: Half ATR below MA for closer tracking
Profit Targets
- Take Profit: 2:1 reward-risk ratio
- Breakeven: One ATR move in favor

Key Points

Shows complete trade management lifecycle
Demonstrates trend-following principles
Uses dynamic volatility-based adjustments
Implements proper risk-reward logic

Note

Ensure both MA and ATR indicators are enabled in the Indicator’s List. The MA period affects both trend detection and trade management.

Example 2: RSI Reversal Strategy

This example shows how to trade oversold conditions with confirmation and comprehensive trade management.

Long Entry Script

RSI1(1) < 30 && RSI1(1) > RSI1(2) && Close(1) > Open(1) ? Ask() : 0

Long Initial SL Script

Low(1) - ATR1(1)

Long Trailing SL Script

Low(1) - (ATR1(1) * (RSI1(1) < 50 ? 1 : 0.5))

Long TP Script

OrderPrice() + ATR1(1) * 3

Long BE Script

RSI1(1) > 50 ? OrderPrice() : 0

Purpose

Trades bullish reversals from oversold conditions, using RSI for entry confirmation and dynamic trade management based on both RSI and volatility conditions.

Component Breakdown

Entry Conditions
- RSI1(1) < 30: Oversold condition
- RSI1(1) > RSI1(2): RSI turning up
- Close(1) > Open(1): Bullish price action
Stop Loss Management
- Initial: One ATR below recent low
- Trailing: Adapts to RSI position
Profit Targets
- Take Profit: Three ATR target
- Breakeven: When RSI crosses above 50

Key Points

Shows RSI-based reversal trading
Demonstrates adaptive trailing stop
Uses condition-based breakeven
Implements momentum-based exits

Note

Ensure both RSI and ATR indicators are enabled in the Indicator’s List. Consider adjusting RSI levels based on the specific instrument’s characteristics.

Example 3: Volatility Breakout Strategy

Long Entry Script

Close(1) > BB1(1,1) && Volume(1) > Volume(2) * 1.5 ? Ask() : 0

Long Initial SL Script

BB1(1,0) - ATR1(1)

Long Trailing SL Script

BB1(1,0)

Long TP Script

BB1(1,1) + (BB1(1,1) - BB1(1,0))

Long BE Script

OrderPrice() + ATR1(1)

Purpose

Trades breakouts from Bollinger Bands with volume confirmation, using the bands for dynamic trade management and profit targeting.

Component Breakdown

Entry Conditions
- Close(1) > BB1(1,1): Price closes above upper band
- Volume(1) > Volume(2) * 1.5: Increased volume confirms breakout
Stop Loss Management
- Initial: One ATR below middle band
- Trailing: Follows middle band
Profit Targets
- Take Profit: Projects band width above upper band
- Breakeven: One ATR move in favor

Key Points

Shows breakout trading technique
Demonstrates band-based management
Uses volume confirmation
Implements symmetric profit targets

Note

Ensure both Bollinger Bands and ATR indicators are enabled in the Indicator’s List. The strategy’s effectiveness depends on proper band settings for your timeframe.

Example 4: Support and Resistance Strategy

Long Entry Script

HLines1(1) > 0 && HLineBreak('HLines1','ATR1') == 1 && Volume(1) > Volume(2) ? Ask() : 0

Long Initial SL Script

Low(1) - ATR1(1)

Long Trailing SL Script

HLines1(1,0)

Long TP Script

OrderPrice() + (OrderPrice() - SL()) * 2

Long BE Script

High(1) > OrderPrice() + ATR1(1) ? OrderPrice() : 0

Purpose

Trades breakouts from horizontal support/resistance levels with volume confirmation and level-based management.

Component Breakdown

Entry Conditions
- HLines1(1) > 0: Valid resistance level exists
- HLineBreak('HLines1','ATR1') == 1: Bullish breakout through level
- Volume(1) > Volume(2): Volume confirms break
Stop Loss Management
- Initial: One ATR below recent low
- Trailing: Follows nearest support level
Profit Targets
- Take Profit: 2:1 reward-risk ratio
- Breakeven: After one ATR move

Key Points

Shows support/resistance trading
Demonstrates level-based exits
Uses volume confirmation
Implements proper risk management

Note

Ensure HLines and ATR indicators are enabled in the Indicator’s List. Level quality depends on proper HLines settings.

Example 5: Multi-Timeframe Momentum Strategy

Long Entry Script

Signal('RSI1') == Bullish && Close(1) > Close(2) ? Ask() : 0

Long Initial SL Script

LowestLow(3) - ATR1(1)

Long Trailing SL Script

RSI1(1) > 70 ? High(1) - ATR1(1) * 0.5 : Low(1) - ATR1(1)

Long TP Script

OBOS('RSI1') == -1 ? Bid() : OrderPrice() + ATR1(1) * 3

Long BE Script

RSI1(1) > 60 ? OrderPrice() : 0

Purpose

Trades momentum signals with RSI, using overbought/oversold conditions for trade management.

Component Breakdown

Entry Conditions
- Signal('RSI1') == Bullish: RSI momentum signal
- Close(1) > Close(2): Price confirmation
Stop Loss Management
- Initial: Below recent swing low plus ATR buffer
- Trailing: Adapts to RSI conditions
Profit Targets
- Take Profit: Dynamic based on RSI overbought
- Breakeven: RSI above 60

Key Points

Shows momentum-based trading
Demonstrates condition-based exits
Uses indicator signals
Implements adaptive management

Note

Ensure RSI and ATR indicators are enabled in the Indicator’s List. Adjust RSI levels to suit your instrument’s characteristics.

Example 6: Fibonacci Retracement Strategy

Long Entry Script

Signal('AutoFib1') == Bullish && Ask() > FibPrice('AutoFib1',0.618) ? Ask() : 0

Long Initial SL Script

FibPrice('AutoFib1',0.382) - ATR1(1)

Long Trailing SL Script

FibPrice('AutoFib1',0.618)

Long TP Script

FibPrice('AutoFib1',1.0)

Long BE Script

FibPrice('AutoFib1',0.786)

Purpose

Trades bullish moves from Fibonacci retracement levels, using Fib levels for trade management.

Component Breakdown

Entry Conditions
- Signal('AutoFib1') == Bullish: Fib pattern signal
- Ask() > FibPrice('AutoFib1',0.618): Price above 0.618 level
Stop Loss Management
- Initial: Below 0.382 level with ATR buffer
- Trailing: Follows 0.618 level
Profit Targets
- Take Profit: Full retracement (1.0 level)
- Breakeven: After reaching 0.786 level

Key Points

Shows Fibonacci-based trading
Demonstrates level-based management
Uses pattern recognition
Implements measured moves

Note

Ensure AutoFib indicator is enabled in the Indicator’s List. Success depends on proper Fibonacci pattern identification.

Example 7: SuperTrend Early Reversal Strategy

Long Entry Script

Trend('ST1') == Bearish && Low(1) < ST1(1,0) && Close(1) > Open(1) ? Ask() : 0

Long Initial SL Script

Low(1) - ATR1(1)

Long Trailing SL Script

ST1(1,0)

Long TP Script

OrderPrice() + (OrderPrice() - SL()) * 2

Long BE Script

Trend('ST1') == Bullish ? OrderPrice() : 0

Purpose

Attempts to catch reversals by entering when price shows strength (bullish close) while still in a bearish SuperTrend, with confirmation from price testing the SuperTrend level.

Component Breakdown

Entry Conditions
- Trend('ST1') == Bearish: Confirms we’re in bearish trend
- Low(1) < ST1(1,0): Price has tested SuperTrend level
- Close(1) > Open(1): Shows bullish pressure
Stop Loss Management
- Initial: Below recent low with ATR buffer
- Trailing: Follows SuperTrend line after entry
Profit Targets
- Take Profit: 2:1 reward-risk ratio
- Breakeven: When trend officially turns bullish

Example 8: Stochastic Cross Strategy

Long Entry Script

Stoch1(1,0) > Stoch1(1,1) && Stoch1(2,0) <= Stoch1(2,1) && Stoch1(1,0) < 30 ? Ask() : 0

Long Initial SL Script

Low(1) - ATR1(1)

Long Trailing SL Script

Low(1) - (ATR1(1) * (Stoch1(1,0) < 50 ? 1 : 0.5))

Long TP Script

OBOS('Stoch1') == -1 ? Bid() : OrderPrice() + ATR1(1) * 3

Long BE Script

Stoch1(1,0) > 50 ? OrderPrice() : 0

Purpose

Trades Stochastic crossovers in oversold territory, with adaptive trade management based on oscillator position.

Component Breakdown

Entry Conditions
- Stoch1(1,0) > Stoch1(1,1): %K crosses above %D
- Stoch1(2,0) <= Stoch1(2,1): Confirms new cross
- Stoch1(1,0) < 30: In oversold territory
Stop Loss Management
- Initial: One ATR below recent low
- Trailing: Adapts to Stochastic position
Profit Targets
- Take Profit: Exit on overbought or 3 ATR
- Breakeven: Stochastic above centerline

Key Points

Shows oscillator cross trading
Demonstrates adaptive trailing
Uses oscillator zones
Implements momentum-based exits

Note

Ensure Stochastic and ATR indicators are enabled in the Indicator’s List.

Example 9: ADX Trend Strength Strategy

Long Entry Script

ADX1(1,0) > 25 && ADX1(1,2) > ADX1(1,1) && Close(1) > Open(1) ? Ask() : 0

Long Initial SL Script

Low(1) - (ATR1(1) * (ADX1(1,0) > 40 ? 2 : 1))

Long Trailing SL Script

Low(1) - ATR1(1) * (ADX1(1,0)/50)

Long TP Script

OrderPrice() + (ATR1(1) * (ADX1(1,0)/20))

Long BE Script

High(1) > OrderPrice() + ATR1(1) ? OrderPrice() : 0

Purpose

Trades strong trends identified by ADX, with strength-adjusted trade management.

Component Breakdown

Entry Conditions
- ADX1(1,0) > 25: Strong trend exists
- ADX1(1,2) > ADX1(1,1): +DI greater than -DI (bullish directional movement)
- Close(1) > Open(1): Bullish price action
Stop Loss Management
- Initial: ATR-based, wider for stronger trends
- Trailing: Dynamic based on ADX strength
Profit Targets
- Take Profit: Scales with trend strength
- Breakeven: After one ATR move

Key Points

Shows trend strength trading
Demonstrates strength-based adjustments
Uses dynamic scaling
Implements adaptive targets

Note

Ensure ADX and ATR indicators are enabled in the Indicator’s List.

Example 10: MACD Divergence Strategy

Long Entry Script

MACD1(1,0) < MACD1(3,0) && Low(1) > Low(3) && MACD1(1,0) < 0 && Close(1) > Open(1) ? Ask() : 0

Long Initial SL Script

LowestLow(5) - ATR1(1)

Long Trailing SL Script

MACD1(1,0) > 0 ? Low(1) - ATR1(1) * 0.5 : Low(2) - ATR1(1)

Long TP Script

MACD1(1,0) > MACD1(2,0) ? OrderPrice() + ATR1(1) * 3 : OrderPrice() + ATR1(1) * 2

Long BE Script

MACD1(1,0) > 0 ? OrderPrice() : 0

Purpose

Trades bullish divergence between price and MACD, with momentum-based trade management.

Component Breakdown

Entry Conditions
- MACD1(1,0) < MACD1(3,0): Lower MACD low
- Low(1) > Low(3): Higher price low
- MACD1(1,0) < 0: Below zero line
- Close(1) > Open(1): Bullish confirmation
Stop Loss Management
- Initial: Below recent swing low with buffer
- Trailing: Tighter when MACD positive
Profit Targets
- Take Profit: Adapts to MACD momentum
- Breakeven: When MACD crosses above zero

Key Points

Shows divergence detection
Demonstrates momentum-based management
Uses multiple confirmations
Implements adaptive profit targets

Note

Ensure MACD and ATR indicators are enabled in the Indicator’s List. Consider adjusting the lookback period (3 bars) based on your timeframe.

Advanced Examples (Complete Strategies)

These examples present fully-formed trading strategies that demonstrate how to combine multiple components into comprehensive trading systems. Each example includes complete script sets with sophisticated entry conditions, dynamic trade management, and risk controls. They show how to integrate multiple timeframes, combine various indicators, and adapt to changing market conditions. While more complex than the Intermediate Examples, they maintain clear logic and documentation to serve as templates for both manual adaptation and AI-assisted customization. These strategies also demonstrate different trading approaches including trend-following, mean reversion, breakout trading, and pattern recognition, providing a broad foundation for developing your own advanced trading systems.

Example 1: Multi-Timeframe Trend Strategy (EURUSD M15)

UserVAR Definitions

VAR0=2;1,1.5,2,2.5,3 // SL ATR multiplier VAR1=4;2,3,4,5,6 // TP ATR multiplier

Indicator Creation Strings

NTL\MA(1,50,1).ex5,0,1,2 NTL\RSI(1,14,1,70,30).ex5,0,1 NTL\RSI(:H1,1,14,1,70,30).ex5,0,1 NTL\ATR(1,14).ex5,0

Long Entry Script

TimeOfDay(8,0,17,0) == 0 && Trend('MA1') == Bullish && Close(1) > MA1(1,0) && RSI1(1) > 50 && RSI2(1) > 50 ? Ask() : 0

Long Initial SL Script

MA1(1,0) - (ATR1(1) * VAR0)

Long Trailing SL Script

MA1(1,0) - (ATR1(1) * (RSI1(1) > 70 ? 0.5 : 1))

Long TP Script

OrderPrice() + (ATR1(1) * VAR1 * (RSI2(1) > 70 ? 1 : 2))

Long BE Script

RSI1(1) > 60 && RSI2(1) > 60 ? OrderPrice() : 0

Long Exit Script

TimeOfDay(17,0) == 1 || (RSI1(1) < 40 && RSI2(1) < 40) ? Bid() : 0

Purpose

A comprehensive trend-following strategy for EURUSD that aligns M15 and H1 timeframes with momentum confirmation and time-based filters, using adaptive trade management based on market conditions.

Component Breakdown

Entry Conditions
- TimeOfDay(8,0,17,0) == 0: Trading window
- Trend('MA1') == Bullish: Current timeframe trend
- Close(1) > MA1(1,0): Price above MA
- RSI1(1) > 50: M15 momentum
- RSI2(1) > 50: H1 momentum
Trade Management
- Initial Stop: Variable ATR-based using VAR0
- Trailing Stop: Adapts to overbought conditions
- Take Profit: Scales with H1 momentum
- Breakeven: Requires momentum on both timeframes
Exit Rules
- Time-based exit at 17:00
- Momentum-based exit when both timeframes weak

Key Points

Shows multi-timeframe analysis
Uses UserVARs for optimization
Implements complete risk management
Trading window control

Note

All indicators must be enabled (’+’ prefix) in the preset file. Strategy performs best during major session overlaps.

Example 2: Price Action Reversal Strategy (GBPUSD M30)

UserVAR Definitions

VAR0=3;1.5,2,2.5,3,3.5,4 // TP extension multiplier

Indicator Creation Strings

NTL\ATR(1,14).ex5,0 NTL\PP(1).ex5,0,1,2,3,4,5 NTL\BB(1,20,2.0).ex5,0,1,2,3

Long Entry Script

High(PP1(1,2,0,0xFFFFF)+1) < High(1) && OBOS('BB1') == 1 && Close(1) > Open(1) ? Ask() : 0

Long Initial SL Script

Low(PP1(1,2,20,0xFFFFF)+1) - ATR1(1)

Long Trailing SL Script

Low(2) - ATR1(1) * (BB1(1,0) < BB1(2,0) ? 1.5 : 1)

Long TP Script

BB1(1,1) + ATR1(1) * VAR0

Long BE Script

High(1) > OrderPrice() + ATR1(1) * 2 ? OrderPrice() : 0

Long Exit Script

OBOS('BB1') == -1 || Close(1) < BB1(1,0) ? Bid() : 0

Purpose

Identifies potential reversals in GBPUSD using pivot points and Bollinger Band oversold conditions, with adaptive trade management based on volatility.

Component Breakdown

Entry Conditions
- High(PP1(1,2,0,0xFFFFF)+1) < High(1): New high above pivot point
- OBOS('BB1') == 1: Oversold condition
- Close(1) > Open(1): Bullish confirmation
Trade Management
- Initial Stop: Below referenced pivot low
- Trailing Stop: Adapts to Bollinger Band direction
- Take Profit: Upper band plus ATR multiple
- Breakeven: After significant move in favor

Key Points

Best performance during London session
Shows proper pivot point analysis
Demonstrates complex buffer access
Uses oversold conditions for entry

Note

Strategy performs best during periods of high volatility but clear price structure. Most effective in the early London session when GBPUSD typically shows strong directional moves.

Example 3: Asian Session Range Strategy (USDJPY M30)

UserVAR Definitions

VAR0=0.5;0.3,0.4,0.5,0.6,0.7 // Range size filter (in ATR) VAR1=2;1.5,2,2.5,3 // Breakout target multiplier

Indicator Creation Strings

NTL\ATR(1,14).ex5,0 NTL\ABH(1,14,3).ex5,0,1 NTL\PP(1).ex5,0,1,2,3,4,5

Long Entry Script

TimeOfDay(4,0) == 1 && (High(1) - Low(1)) < ATR1(1) * VAR0 && Volume(1) > Volume(2) ? Ask() : 0

Long Initial SL Script

Low(1) - ATR1(1)

Long Trailing SL Script

Low(2) - ATR1(1) * (ABH1(1,0) > ABH1(2,0) ? 1.5 : 1)

Long TP Script

OrderPrice() + (ATR1(1) * VAR1)

Long BE Script

High(1) > OrderPrice() + ATR1(1) ? OrderPrice() : 0

Long Exit Script

TimeOfDay(8,0) == 1 || PP1(1,0) > 0 ? Bid() : 0

Purpose

Capitalizes on USDJPY’s characteristic early Asian session consolidation followed by breakout moves, using time filters and volatility measures.

Component Breakdown

Entry Conditions
- TimeOfDay(4,0) == 1: After 04:00 (early Asian session)
- (High(1) - Low(1)) < ATR1(1) * VAR0: Compressed range
- Volume(1) > Volume(2): Volume confirmation
Trade Management
- Initial Stop: One ATR below entry bar
- Trailing Stop: Adapts to bar height changes
- Take Profit: Multiple of ATR
- Breakeven: After one ATR move
Exit Rules
- Time-based exit after Tokyo lunch (8:00)
- Pivot point formation triggers exit

Key Points

Specifically designed for Asian session
Uses volatility compression signals
Implements session-based timing
Adapts to changing volatility conditions

Note

Strategy targets the characteristic USDJPY behavior during Asian hours. Most effective during Tuesday-Thursday Asian sessions when liquidity is optimal.

Example 4: London Breakout Strategy (EURGBP H1)

UserVAR Definitions

VAR0=2.5;1.5,2.0,2.5,3.0,3.5 // Range multiplier VAR1=1.5;1.0,1.5,2.0,2.5 // Risk-reward ratio

Indicator Creation Strings

NTL\ATR(1,14).ex5,0 NTL\BB(1,20,2.0).ex5,0,1,2,3 NTL\MA(1,50,1).ex5,0,1,2

Long Entry Script

TimeOfDay(7,0) == 1 && High(1) > HighestHigh(Range(6,0,"",D1)/Point) && Trend('MA1') == Bullish ? Ask() : 0

Long Initial SL Script

Low(1) - ATR1(1) * VAR0

Long Trailing SL Script

BB1(1,0) - ATR1(1)

Long TP Script

OrderPrice() + ((OrderPrice() - SL()) * VAR1)

Long BE Script

High(1) > OrderPrice() + ((OrderPrice() - SL()) * 0.5) ? OrderPrice() : 0

Long Exit Script

TimeOfDay(16,0) == 1 || (BB1(1,1) < BB1(2,1) && Close(1) < Open(1)) ? Bid() : 0

Purpose

Takes advantage of the typical London session breakout in EURGBP, entering on breaks of the Asian range with trend confirmation.

Component Breakdown

Entry Conditions
- TimeOfDay(7,0) == 1: After London session open
- High(1) > HighestHigh(Range(6,0,"",D1)/Point): Breaks Asian range
- Trend('MA1') == Bullish: Trend confirmation
Trade Management
- Initial Stop: Multiple of ATR
- Trailing Stop: Below Bollinger middle band
- Take Profit: Based on risk-reward ratio
- Breakeven: After 50% move to target
Exit Rules
- Time-based exit before US close
- Exit on band contraction with bearish price

Key Points

Captures London session volatility
Uses Asian range for reference
Implements trend-following concept
Dynamic position sizing via ATR

Note

Best results during Tuesday-Thursday when both London and European markets are fully active. Avoid trading on UK and European bank holidays.

Example 5: MACD Double-Zero Strategy (USDCAD H4)

UserVAR Definitions

VAR0=2;1.5,2,2.5,3 // Initial stop multiplier VAR1=0.5;0.3,0.4,0.5,0.6,0.7 // Trailing factor

Indicator Creation Strings

NTL\MACD(1,12,26,9).ex5,0,1,2,3,4 NTL\ATR(1,14).ex5,0 NTL\RSI(1,14,1,70,30).ex5,0,1

Long Entry Script

MACD1(1,0) > 0 && MACD1(2,0) <= 0 && RSI1(1) > 50 && Mid() < Round(Mid()) + 0.01 ? Ask() : 0

Long Initial SL Script

Low(1) - ATR1(1) * VAR0

Long Trailing SL Script

Low(1) - ATR1(1) * (MACD1(1,0) > MACD1(2,0) ? VAR1 : VAR1 * 2)

Long TP Script

Round(Mid()) + 0.01 + (ATR1(1) * 2)

Long BE Script

MACD1(1,0) > MACD1(1,1) * 2 ? OrderPrice() : 0

Long Exit Script

MACD1(1,0) < 0 || RSI1(1) > 70 ? Bid() : 0

Purpose

Takes advantage of USDCAD’s tendency to react around ‘double-zero’ levels (e.g., 1.3200, 1.3300), combining it with momentum confirmation.

Component Breakdown

Entry Conditions
- MACD1(1,0) > 0 && MACD1(2,0) <= 0: MACD crosses zero
- RSI1(1) > 50: Momentum confirmation
- Mid() < Round(Mid()) + 0.01: Near round number
Trade Management
- Initial Stop: ATR-based with multiplier
- Trailing Stop: Adapts to MACD momentum
- Take Profit: Next round number + 2 ATR
- Breakeven: On strong MACD expansion
Exit Rules
- MACD turns negative
- RSI overbought condition

Key Points

Uses psychological price levels
Combines momentum with price structure
Implements dynamic trailing stops
Adapts to market volatility

Note

Strategy performs best during North American session when USDCAD typically shows clearest reactions to psychological levels. Avoid during Canadian economic news releases.

Example 6: Channel Breakout Strategy (AUDUSD H1)

UserVar Definitions

VAR0=15;10,15,20,25,30 // Channel lookback period VAR1=1.5;1.0,1.5,2.0,2.5 // Risk-reward ratio

Indicator Creation Strings

NTL\ATR(1,14).ex5,0 NTL\Keltner(1,20,1,2.25).ex5,0,1,2,3

Long Entry Script

High(1) > HighestHigh(VAR0) && Volume(1) > Volume(2) * 1.5 && High(1) > Keltner1(1,1) ? Ask() : 0

Long Initial SL Script

Keltner1(1,0) - ATR1(1)

Long Trailing SL Script

Keltner1(1,0) - (ATR1(1) * 0.5)

Long TP Script

OrderPrice() + ((OrderPrice() - SL()) * VAR1)

Long BE Script

High(1) > HighestHigh(VAR0) + ATR1(1) ? OrderPrice() : 0

Long Exit Script

Close(1) < Keltner1(1,0) || Low(1) < LowestLow(5) ? Bid() : 0

Purpose

Trades breakouts from established price channels in AUDUSD, using volume confirmation and Keltner Channels for validation and management.

Component Breakdown

Entry Conditions
- High(1) > HighestHigh(VAR0): Breaks channel high
- Volume(1) > Volume(2) * 1.5: Volume surge
- High(1) > Keltner1(1,1): Above Keltner upper band
Trade Management
- Initial Stop: Below Keltner middle band
- Trailing Stop: Half ATR below middle band
- Take Profit: Based on risk-reward ratio
- Breakeven: After channel extension
Exit Rules
- Price below Keltner middle band
- Breaks recent swing low

Key Points

Adapts to market volatility
Uses volume for confirmation
Implements channel-based management
Dynamic position sizing

Note

Most effective during Asian-London crossover when AUDUSD often forms and breaks clear channels. Avoid during RBA announcements and significant Chinese economic data releases.

Example 7: Opening Range Breakout Strategy (EURJPY M15)

UserVAR Definitions

VAR0=2;1.5,2,2.5,3 // ATR multiplier for targets

Indicator Creation Strings

NTL\ATR(1,14).ex5,0 NTL\ABH(1,14,3).ex5,0,1

Long Entry Script

TimeOfDay(9,0) == 1 && High(1) > HighestHigh(4) && Volume(1) > Volume(2) ? Ask() : 0

Long Initial SL Script

LowestLow(4) - ATR1(1)

Long Trailing SL Script

Low(1) - (ABH1(1,0) * (High(1) > HighestHigh(3) ? 1 : 2))

Long TP Script

OrderPrice() + (ATR1(1) * VAR0)

Long BE Script

High(1) > OrderPrice() + ATR1(1) ? OrderPrice() : 0

Long Exit Script

TimeOfDay(16,0) == 1 || Low(1) < LowestLow(3) ? Bid() : 0

Purpose

Trades breakouts from the London session opening range in EURJPY, using adaptive targets based on volatility.

Component Breakdown

Entry Conditions
- TimeOfDay(9,0) == 1: After the opening range hour
- High(1) > HighestHigh(4): Breaks opening hour’s high
- Volume(1) > Volume(2): Volume confirmation
Trade Management
- Initial Stop: Below opening hour’s low with ATR buffer
- Trailing Stop: Based on average bar height
- Take Profit: Multiple of ATR
- Breakeven: After one ATR move
Exit Rules
- Time-based exit at 16:00
- Break of recent lows

Key Points

Uses session-specific timing
Adapts to daily volatility
Dynamic range calculation
Volume-based confirmation

Note

Designed for London session volatility in EURJPY. Best results Tuesday-Thursday, avoid during major Japanese holidays or during BOJ/ECB announcements.

Example 8: Pattern Break Strategy (USDCHF M30)

UserVar Definitions

VAR0=3;2,3,4,5 // Minimum pattern strength VAR1=2;1.5,2,2.5,3 // Risk multiplier

Indicator Creation Strings

NTL\ATR(1,14).ex5,0 NTL\JCP(1).ex5,0,1 NTL\BB(1,20,2.0).ex5,0,1,2,3

Long Entry Script

Signal('JCP1') == Bullish && OBOS('BB1') == 1 && High(1) > High(2) ? Ask() : 0

Long Initial SL Script

Low(1) - (ATR1(1) * VAR1)

Long Trailing SL Script

Low(1) - (ATR1(1) * (BB1(1,0) < BB1(2,0) ? 2 : 1))

Long TP Script

BB1(1,1) + ATR1(1) * 2

Long BE Script

Close(1) > BB1(1,1) ? OrderPrice() : 0

Long Exit Script

Signal('JCP1') == Bearish || Close(1) < BB1(1,0) ? Bid() : 0

Purpose

Combines Japanese candlestick patterns with Bollinger Band oversold conditions in USDCHF, focusing on pattern-based reversals.

Component Breakdown

Entry Conditions
- Signal('JCP1') == Bullish: Bullish candlestick pattern
- OBOS('BB1') == 1: Oversold condition
- High(1) > High(2): Pattern confirmation
Trade Management
- Initial Stop: ATR-based with multiplier
- Trailing Stop: Adapts to BB slope
- Take Profit: Upper band plus 2 ATR
- Breakeven: On upper band break
Exit Rules
- Bearish pattern forms
- Close below middle band

Key Points

Uses candle pattern recognition
Combines with band conditions
Dynamic stop adjustment
Multiple confirmation approach

Note

Most effective during European session when USDCHF typically shows clearest pattern formations. Avoid during SNB announcements and major Swiss economic releases.

Example 9: Triple Moving Average Strategy (GBPUSD H4)

UserVAR Definitions

VAR0=1.5;1.0,1.5,2.0,2.5 // ATR multiplier for stops VAR1=2.5;2.0,2.5,3.0,3.5 // Target multiplier

Indicator Creation Strings

NTL\MA(:H4,1,10,1,20,1).ex5,0,1,2 NTL\MA(:H4,1,50,1).ex5,0,1 NTL\BB(1,20,2.0).ex5,0,1,2,3 NTL\ATR(1,14).ex5,0

Long Entry Script

MA1(1,0) > MA1(1,1) && MA1(1,1) > MA2(1,0) && Close(1) > BB1(1,1) ? Ask() : 0

Long Initial SL Script

Low(1) - (ATR1(1) * VAR0)

Long Trailing SL Script

MA1(1,1) - (ATR1(1) * (MA1(1,0) > MA1(2,0) ? 0.5 : 1))

Long TP Script

OrderPrice() + (ATR1(1) * VAR1 * (BB1(1,1) > BB1(2,1) ? 1.5 : 1))

Long BE Script

High(1) > OrderPrice() + ATR1(1) ? OrderPrice() : 0

Long Exit Script

MA1(1,0) < MA1(1,1) || Close(1) < BB1(1,0) ? Bid() : 0

Purpose

Uses three moving averages in correct alignment with Bollinger Band confirmation for trend trading in GBPUSD.

Component Breakdown

Entry Conditions
- MA1(1,0) > MA1(1,1): 10-period MA above 20-period MA
- MA1(1,1) > MA2(1,0): 20-period MA above 50-period MA
- Close(1) > BB1(1,1): Price above upper band
Trade Management
- Initial Stop: ATR-based with multiplier
- Trailing Stop: Uses 50-period MA with ATR adjustment
- Take Profit: Dynamic based on band expansion
- Breakeven: After one ATR move

Key Points

Uses triple MA alignment
Implements volatility-based exits
Dynamic trade management
Multiple confirmations required

Note

Strategy works best during trending phases of GBPUSD H4. Avoid during major UK/US news releases and during periods of low volatility.

Example 10: Trading Range Strategy (NZDUSD H4)

UserVAR Definitions

VAR0=0.5;0.3,0.4,0.5,0.6,0.7 // Range comparison factor VAR1=1.5;1.0,1.5,2.0,2.5 // Risk multiple for target

Indicator Creation Strings

NTL\ATR(1,14).ex5,0 NTL\BB(1,20,2.0).ex5,0,1,2,3 NTL\HLines(1,'',800,64,'S2;R2',2,0.3,0.5,100).ex5,0,1

Long Entry Script

(High(3) - Low(3)) < ATR1(1) * VAR0 && Signal('HLines1') == Bullish && OBOS('BB1') == 1 ? Ask() : 0

Long Initial SL Script

Low(3) - ATR1(1)

Long Trailing SL Script

BB1(1,0) - (ATR1(1) * 0.5)

Long TP Script

OrderPrice() + ((OrderPrice() - SL()) * VAR1)

Long BE Script

High(1) > OrderPrice() + ATR1(1) ? OrderPrice() : 0

Long Exit Script

OBOS('BB1') == -1 || Signal('HLines1') == Bearish ? Bid() : 0

Purpose

Trades contractions in price range near support levels, combining HLines support/resistance with Bollinger Band conditions.

Component Breakdown

Entry Conditions
- (High(3) - Low(3)) < ATR1(1) * VAR0: Range contraction
- Signal('HLines1') == Bullish: Support level signal
- OBOS('BB1') == 1: Oversold condition
Trade Management
- Initial Stop: Below range low with ATR buffer
- Trailing Stop: Below middle band
- Take Profit: Based on risk multiple
- Breakeven: After one ATR move

Key Points

Uses range contraction for entry
Combines multiple indicators
Dynamic position sizing
Support/resistance confirmation

Note

Best suited for NZDUSD H4 during Asian/early London hours when price tends to respect ranges more clearly. Avoid during major NZ/US news releases.

Best Practices for Writing Scripts

Follow these best practices to ensure your scripts are clear, consistent, and effective:

Use Provided Variables:

Replace raw values like 1 or -1 with the predefined variables Bullish and Bearish:
- Bullish = 1: Indicates a buy signal or bullish trend.
- Bearish = -1: Indicates a sell signal or bearish trend.
Example: Signal('MA1') == Bullish ? Ask() : 0

Leverage the Point Variable for Scaling:
- Always multiply numeric adjustments by Point to ensure they are scaled correctly according to the symbol’s price units.
Example: ATR1(1) > 15 ? Low(1) - 20 * Point : Low(1) - 10 * Point
Explicitly Define Shifts for Functions:
- Functions like Close, Open, High, and Low require a shift parameter. The default is 1, but specifying it explicitly improves clarity.
Example: Close(1) > Open(1) ? Ask() : 0
Avoid Invalid Functions:
- Use valid functions like SL() instead of invalid ones like StopLoss().
- Valid Functions: Ask(), Bid(), SL(), Signal(), Trend().
- Invalid Examples: StopLoss(), Price().
Combine Indicators and Price Data:
- Create powerful scripts by combining indicator signals with price conditions.
Example: Trend('MA1') == Bullish && Close(1) > Open(1) ? Ask() : 0

Tips for Writing Scripts

Before diving into script writing, it’s helpful to understand some practical approaches that can make your development process smoother and more effective. While the Best Practices section covers the technical aspects of writing scripts, these tips focus on the development process itself, common pitfalls to avoid, and strategies for testing and implementing your trading logic. Whether you’re writing your first script or developing complex strategies, these guidelines will help you build more reliable and maintainable trading systems.

Test Individual Components First

Write and test entry conditions separately before combining
Verify indicator signals independently
Test time filters alone before adding to strategies

Common Mistakes to Avoid

Don’t forget to enable indicators in the Indicators List
Remember shift=1 means last completed bar, not current bar
Check you’re using Ask() for buys and Bid() for sells

Debugging Tips

Use single conditions first, then build up with AND (&&)
Test time windows with simple entry conditions
Verify indicator buffer numbers match your settings

Development Process

Start with entry logic
Add initial stop loss
Test basic exits
Add trailing stops and breakeven last
Fine-tune with take profit levels

Risk Management

Always test stop loss logic independently
Verify SL is appropriate distance from entry
Test breakeven conditions thoroughly

Performance Tips

Keep conditions as simple as needed
Use appropriate timeframes for indicators
Consider market hours for your strategy

Use AI to Create an EAsiScript Preset File

EAsiScript enables you to leverage artificial intelligence for creating preset files and developing trading strategies. By providing AI with your strategy requirements and the EAsiTrader documentation, you can generate compliant preset files that are ready for testing and optimization. This approach combines the efficiency of AI with your trading expertise, allowing you to rapidly develop and refine strategies while maintaining full control over their implementation and risk management.

The key to successful AI-assisted development is providing clear strategy requirements and ensuring the AI has access to all necessary documentation. This section will guide you through the process of preparing your requirements, working with AI to generate preset files, and properly testing the resulting strategies.

1. Prepare Your Strategy Details

Before engaging with AI, clearly define the specifics of your trading strategy:

Entry and Exit Rules: Conditions for opening and closing trades
Risk Management: Stop loss, take profit, breakeven levels, or trailing stops
Indicators: Specify indicators like RSI, Moving Averages, or ATR
Special Conditions: Add any time-based filters, multi-symbol requirements, or other specific needs

2. Upload the User Guides to AI

Provide AI with the foundational documentation:

EAsiTrader User Guide: Core functionality and settings
EAsiScript User Guide: Scripting language and functions
Learn EAsiScript Guide: Examples and best practices
EAsiTrader AI User Guide: AI modes, configuration recipes, and strategy prompt templates (required for AI-enabled presets)

These guides contain all the information AI needs to generate accurate scripts and ensure compliance with EAsiTrader’s requirements.

3. Ask AI to Create Your Preset

Provide your strategy requirements in a clear, structured format:

Specify it must comply with “Rules for Creating Main Preset Files”
Use Defaults.set as template
Request verification against the template
Include specific symbols and timeframes
Detail any optimization requirements

4. Save the Generated Content

Copy AI-generated output to a plain text editor
Save with a descriptive name and .set extension (e.g., TrendFollowing.set)
Verify proper formatting and section structure

5. Copy the Preset File to the EAsiTrader Folder

Locate your MetaTrader data folder path:
- MQL5\Files\EAsiTrader
Place the .set file in this directory
The preset will appear in EAsiTrader’s Profile Dropdown

6. Load the Preset

Open EAsiTrader in MetaTrader 5
Select your new preset from the Profile Dropdown
Verify all settings loaded correctly
Verify required indicators are enabled

7. Test the Preset

Use EAsiTrader’s Tester feature
Start with visual backtesting
Verify entry/exit logic
Check risk management behavior
Test in different market conditions

8. Activate for Live Trading

Complete thorough testing first
Enable Auto Trading in EAsiTrader
Monitor initial trades closely
Keep detailed performance records

9. Iterate and Optimise

Review strategy performance
Identify areas for improvement
Generate new variations using AI
Optimise parameters using Tester

AI-Integrated Strategies

EAsiTrader’s AI system can work alongside EAsiScript in three distinct patterns, each suited to different levels of AI involvement. Understanding these patterns helps you choose the right approach for your strategy and write effective AI prompts.

Pattern 1: Filter Signals (AIMode = 2)

Scripts control all entries and exits. The AI periodically assesses the market and provides a directional bias, risk mode, and regime classification. Script-generated signals that conflict with the AI’s assessment are filtered out (suppressed). Use this pattern when you have a well-tested script strategy and want the AI to act as a safety net — blocking trades during unfavourable conditions without changing the core logic.

Scripts handle: Entry signals, stop loss, take profit, breakeven, exit logic
AI handles: Periodic market assessment used to filter (block or allow) script signals
Permissions: AIAllow* flags are ignored — the AI cannot open, close, or modify trades

Pattern 2: Gated Trading (AIMode = 3)

Scripts generate entry signals, but every signal must be approved by the AI before execution. Optionally, the AI can also manage open positions — trailing stops, modifying take profit, or closing positions early based on changing conditions. Use this pattern when you want script-based entries with AI quality control and optional active position management.

Scripts handle: Entry signal generation, initial stop loss, take profit, breakeven
AI handles: Approving/rejecting each entry signal, optionally managing open positions
Permissions: AIAllowOpen = false, AIAllowPlaceOrders = false (entries always come from scripts). Enable AIAllowClose, AIAllowModifySL, AIAllowModifyTP for position management.

Pattern 3: Autonomous (AIMode = 4)

The AI has full control over trade decisions. Entry and exit scripts are typically empty. The AI uses grounded events from indicators (CHoCH, FVG, LP, etc.), OHLC data, and news feeds to make all trading decisions. Strategy Instructions guide the AI’s decision-making. Use this pattern for strategies that rely on complex market context that is difficult to express in scripts alone.

Scripts handle: Usually empty. Can optionally define fallback stops or AI Trigger Script conditions.
AI handles: Opening, closing, and modifying positions based on Strategy Instructions
Permissions: Enable each AIAllow* flag for actions the AI should control. At minimum, AIAllowOpen or AIAllowClose must be true.

AI Functions in Scripts

Scripts can read the AI’s current assessment using AI functions. These allow scripts to incorporate the AI’s bias, confidence, regime, and risk assessment into their logic:

Entry filtering: AiIsBullish() == 1 && Close(1) > MA1(1,0) ? Ask() : 0 — only enter long when AI bias is bullish
Position sizing: AiCombinedMultiplier(1) * 0.01 — modulate lot size based on AI assessment
Exit conditions: AiIsRanging() == 1 ? Bid() : 0 — exit when AI detects a regime change
Validity checks: AiIsValid() == 1 — ensure AI data is current before acting on it

Important: In Gated Trading mode, entry scripts must be AI-blind — they must not reference any Ai*() functions. AI functions may still be used in non-entry scripts (exit, lots, trailing stop, breakeven) and in entry scripts for Filter Signals mode. See Gated Trading in Detail.

See the EAsiScript User Guide → AI Functions section for the complete function reference and usage examples.

AI Trigger Script

The AI Trigger Script (InpTradeTool_ScriptAITrigger) controls when AI refresh requests are sent, helping manage API costs. It is evaluated only after the refresh interval has elapsed, the current assessment has expired, and there are no open positions. Common uses include session time gates, volatility filters, and trend confirmation checks. See the EAsiScript User Guide → AI Trigger Script Examples for practical examples.

Configuring AI Settings in Presets

When generating AI-enabled presets, the AI Section of the .set file must be configured to match the chosen mode. The EAsiTrader User Guide → Rules for Creating Main Preset Files (Rules 11–14) specify the exact requirements for each mode, including which permissions to enable and how to encode Strategy Instructions and URLs. The EAsiTrader AI User Guide provides configuration recipes and strategy prompt templates for each mode.

AI Prompt Examples

These examples demonstrate effective AI prompts for generating EAsiTrader preset files and trading strategies. Each example includes the exact text you should give to the AI, formatted with specific requirements and the mandatory preset file compliance instructions.

CRITICAL: INCLUDE THESE INSTRUCTIONS WITH EVERY PROMPT

When providing any of these example prompts to AI, you MUST include these exact instructions as part of your prompt:

“The preset file must strictly comply with all the ‘Rules for
Creating EAsiTrader Preset Files’. Use the Defaults.set Preset File as
a template. Verify your content by cross referencing your sections and
settings with those from the template. Any deviation or omission
will be considered a failure to complete the task.”

⚠️ WARNING: Omitting these instructions from your prompt will likely result in invalid preset files that will not work correctly in EAsiTrader. Remember that the AI cannot see or access these instructions unless you explicitly include them in your prompt.

Each example below shows a complete prompt that you can copy and use directly with AI. Pay attention to how the required instructions are integrated with the strategy specifications in each prompt.