Strengths of Signal Generator - Build Trading Signals Without Code

Signal Generator transforms how traders create entry and exit signals. Instead of learning programming languages, you build sophisticated signals using visual condition builders. Here are the key strengths.

1. Zero Programming Required

The Problem: Traditional signal generation requires:

Learning scripting languages
Understanding programming syntax
Debugging code errors
Managing version compatibility

Signal Generator Solution: Visual condition builder with:

Point-and-click field selection
Dropdown operators
Auto-complete from your data
Instant validation

Benefit: Create your first strategy in 30 minutes, not 30 days.

2. 15+ Comparison Operators

Available operators:

Category	Operators
Numeric	`>`, `>=`, `<`, `<=`, `==`, `!=`
Crossing	`crosses_above`, `crosses_below`
String	`contains`, `not_contains`, `starts_with`, `ends_with`, `matches`
Existence	`is_empty`, `is_not_empty`

Benefit: Handle any condition type - numeric comparisons, pattern detection, text filtering.

3. Crossing Detection

The Problem: Simple > or < triggers on EVERY bar where condition is true, creating duplicate signals.

Signal Generator Solution: crosses_above and crosses_below operators trigger ONLY when the condition BECOMES true.

Example:

rsi > 30 → Signals every bar RSI is above 30 (many duplicates)
rsi crosses_above 30 → Signals only when RSI crosses from below to above 30 (one signal)

Benefit: Clean signals without duplicates.

4. Field Math Expressions

The Problem: Many conditions require calculations: candle size, price distance, volume ratios.

Signal Generator Solution: Built-in math expressions:

high - low (candle range)
close - open (candle body)
volume * 2 (volume multiple)
sma_20 + atr (indicator math)

Benefit: Complex calculations without pre-processing.

5. Previous Bar Reference

The Problem: Many patterns require comparing current bar to previous bar (reversals, breakouts, gaps).

Signal Generator Solution: field[-1] notation for previous bar:

close > close[-1] (higher close)
high > high[-1] (higher high)
open > high[-1] (gap up)

Benefit: Pattern detection built-in.

6. Percentage Functions

The Problem: Calculating percentage changes requires manual formulas.

Signal Generator Solution: Built-in percentage functions:

Function	Description
`pct_change(close)`	% change from previous bar
`abs_pct_change(close)`	Absolute % change
`pct(close, open)`	% difference between two values

Examples:

pct_change(close) >= 3 → 3%+ price spike
abs_pct_change(volume) >= 50 → 50%+ volume change (up or down)
pct(close, sma_20) > 2 → Price 2%+ above SMA

Benefit: Percentage-based signals without calculations.

7. Nested AND/OR Logic

The Problem: Real strategies have complex logic: (A AND B) OR (C AND D).

Signal Generator Solution: Nested condition groups:

{
  "long_conditions": [
    {
      "logic": "AND",
      "conditions": [
        {"left": "rsi", "operator": "<", "right": "30"},
        {"left": "macd", "operator": ">", "right": "0"}
      ]
    },
    {
      "logic": "AND", 
      "conditions": [
        {"left": "close", "operator": ">", "right": "sma_200"},
        {"left": "adx", "operator": ">", "right": "25"}
      ]
    }
  ],
  "long_logic": "OR"
}

Result: (RSI < 30 AND MACD > 0) OR (Price > SMA200 AND ADX > 25)

Benefit: Unlimited logic complexity without coding.

8. Signal Filtering Modes

The Problem: Conditions staying true for multiple bars create duplicate signals.

Signal Generator Solution: Three signal modes:

Mode	Behavior
`first`	Signal only when condition BECOMES true (recommended)
`every`	Signal on every bar condition is true
`cooldown`	Minimum gap between signals

Cooldown options:

cooldown_bars: 10 → Wait 10 bars between signals
cooldown_seconds: 3600 → Wait 1 hour between signals

Benefit: Control signal frequency precisely.

9. Multiple Close Modes

The Problem: Different strategies need different exit logic.

Signal Generator Solution: Four close modes:

Mode	When to Close
`reverse`	When opposite signal occurs (default)
`conditions`	Only when explicit close conditions met
`both`	On reverse OR when conditions met
`none`	Never (let backtest handle via SL/TP)

Benefit: Flexible exit logic for any strategy type.

10. String/Text Filtering

The Problem: Multi-symbol strategies need to filter by symbol name or other text fields.

Signal Generator Solution: String operators:

symbol contains "BTC" → Only BTC pairs
symbol ends_with "USDT" → Only USDT pairs
headline matches "bull|bullish|rally" → News keyword matching

Benefit: Filter signals by any text field.

11. Candle Pattern Detection

The Problem: Candle patterns require multiple conditions and previous bar comparisons.

Signal Generator Solution: Built-in pattern building:

Bullish Engulfing:

{
  "long_conditions": [
    {"left": "close - open", "operator": ">", "right": "0"},
    {"left": "close[-1] - open[-1]", "operator": "<", "right": "0"},
    {"left": "close - open", "operator": ">", "right": "open[-1] - close[-1]"}
  ],
  "long_logic": "AND"
}

Gap Up:

{"left": "open", "operator": ">", "right": "high[-1]"}

Benefit: Common patterns without custom code.

12. Direct Backtest Integration

The Problem: Signals need to be formatted correctly for backtesting engines.

Signal Generator Solution: Output directly compatible with Backtest Strategy:

{
  "signals": [
    {"time": 1700000000, "action": "long"},
    {"time": 1700003600, "action": "close"},
    {"time": 1700007200, "action": "short"}
  ]
}

Just connect: signals: {{workers[X].signals}}

Benefit: Zero formatting or conversion needed.

13. Real-Time Ready

The Problem: Backtest signals ≠ live signals. Usually requires separate implementation.

Signal Generator Solution: Same configuration works for:

Historical backtesting
Live signal generation
Alert triggers
Order execution

Benefit: One setup, multiple uses.

Comparison: Signal Generator vs Traditional Coding

Aspect	Signal Generator	Traditional Coding
Learning Time	30 minutes	2-4 weeks
Syntax Errors	Impossible	Common
Debugging	Visual validation	Print statements
Complex Logic	Point-and-click	Manual nesting
Previous Bar	`field[-1]`	Library-specific
Crossing	Built-in operator	Custom function
Percentage	Built-in functions	Manual formulas
Signal Modes	Dropdown selection	Custom implementation

Real-World Impact

Traditional Approach

Learn scripting language syntax
Write indicator code
Debug syntax errors
Test and refine
Rewrite for different platform
Time: 1-2 weeks per strategy

Signal Generator Approach

Select fields from dropdown
Choose operators
Configure logic
Connect to backtest
Time: 30-60 minutes per strategy

When Signal Generator Excels

✅ Indicator-based strategies - RSI, MACD, moving averages

✅ Price action patterns - Breakouts, reversals, gaps

✅ Multi-condition logic - Complex AND/OR combinations

✅ Multi-symbol screening - Filter by symbol, sector, type

✅ Rapid prototyping - Test ideas quickly

✅ Non-programmers - No coding skills needed

Strategy Examples Built in Minutes

RSI Mean Reversion

{
  "long_conditions": [{"left": "rsi", "operator": "crosses_above", "right": "30"}],
  "short_conditions": [{"left": "rsi", "operator": "crosses_below", "right": "70"}]
}

Breakout with Volume

{
  "long_conditions": [
    {"left": "close", "operator": ">", "right": "high[-1]"},
    {"left": "volume", "operator": ">", "right": "volume[-1] * 1.5"}
  ],
  "long_logic": "AND"
}

3% Price Spike

{
  "long_conditions": [{"left": "pct_change(close)", "operator": ">=", "right": "3"}]
}

Moving Average Crossover

{
  "long_conditions": [{"left": "sma_20", "operator": "crosses_above", "right": "sma_50"}],
  "short_conditions": [{"left": "sma_20", "operator": "crosses_below", "right": "sma_50"}]
}

Summary of Key Strengths

Strength	Impact
No coding	Minutes to learn, not weeks
15+ operators	Handle any condition type
Crossing detection	Clean signals, no duplicates
Field math	Complex calculations built-in
Previous bar	Pattern detection easy
Percentage functions	% changes without formulas
Nested logic	Unlimited complexity
Signal modes	Control frequency precisely
Close modes	Flexible exit logic
String filtering	Multi-symbol strategies
Direct integration	Connects to backtest instantly

Signal Generator democratizes trading signal creation. The same strategies that would require weeks of coding can be built in minutes using visual tools. The strength isn't simplification—it's accessibility without sacrificing power.

1. Zero Programming Required​

2. 15+ Comparison Operators​

3. Crossing Detection​

4. Field Math Expressions​

5. Previous Bar Reference​

6. Percentage Functions​

7. Nested AND/OR Logic​

8. Signal Filtering Modes​

9. Multiple Close Modes​

10. String/Text Filtering​

11. Candle Pattern Detection​

12. Direct Backtest Integration​

13. Real-Time Ready​

Comparison: Signal Generator vs Traditional Coding​

Real-World Impact​

Traditional Approach​

Signal Generator Approach​

When Signal Generator Excels​

Strategy Examples Built in Minutes​

RSI Mean Reversion​

Breakout with Volume​

3% Price Spike​

Moving Average Crossover​

Summary of Key Strengths​