HFT Signal Detection - Complete User Guide

Overview

The HFT (High-Frequency Trading) Signal is a momentum-based pattern detection system designed for short-term trading on 1-minute candles. It triggers when multiple consecutive green or red candles appear, capturing fast market momentum.

Key Features

• Simple Pattern Detection - No complex reversal logic
• Consecutive Candle Counting - Detects momentum streaks
• Fast Execution - Optimized for 1m–5m timeframes
• Configurable Thresholds - Adjust sensitivity
• Toggle On/Off - Easy enable/disable

How It Works

HFT_LONG_SIGNAL (Buy)

Candle 1: GREEN (Close > Open)
Candle 2: GREEN
→ HFT_LONG_SIGNAL triggered!

HFT_SHORT_SIGNAL (Sell)

Candle 1: RED (Close < Open)
Candle 2: RED
→ HFT_SHORT_SIGNAL triggered!

DOJI candles (Close ≈ Open) break the streak and are ignored.

Configuration

```yaml
# ==========================================================================
# HFT SIGNAL SETTINGS
# ==========================================================================
enabled_hft_signal: false

hft_consecutive_green_threshold: 2
hft_consecutive_red_threshold: 2
hft_min_confidence_threshold: 60.0   # 50.0 = aggressive, 70.0 = conservative
```

Parameter	Type	Default	Description
enabled_hft_signal	boolean	false	Master switch
hft_consecutive_green_threshold	int	2	Consecutive greens for LONG
hft_consecutive_red_threshold	int	2	Consecutive reds for SHORT
hft_min_confidence_threshold	float	60.0	Minimum confidence to fire

Recommended Settings

Signal Broadcasting Setup (Notifications)

```yaml
supported_volatility_action_broadcast:
  - "BUY"
  - "SELL"
  - "PUMP"
  - "CRASH"
  - "HFT_LONG_SIGNAL"   # Add these two lines
  - "HFT_SHORT_SIGNAL"
```

Auto Trading Setup (Paid License Only)

```yaml
supported_volatility_action:
  - "BUY"
  - "SELL"
  - "PUMP"
  - "CRASH"
  - "HFT_LONG_SIGNAL"   # Add these
  - "HFT_SHORT_SIGNAL"
```

After changes → delete symbols.json → restart bot → re-sync

Signal Types

• HFT_LONG_SIGNAL → Buy on upward momentum
• HFT_SHORT_SIGNAL → Sell/Short on downward momentum

Confidence Calculation

1. Base = 60%
2. Excess candles bonus: +5% per extra candle (max +20%)
3. Body strength bonus: up to +20% (avg % body size × 2)

Example 1 → 2 greens, 0.5% body → 61%
Example 2 → 4 greens, 1.2% body → 72.4%
Example 3 → 5 greens, 2.5% body → 80%

Best Practices (Follow Strictly)

1. Symbol Selection — THE MOST IMPORTANT

2. Data Requirements for Success

• 1-minute candles
• Second-based real-time data (WebSocket, not polling)
• Trending market (not choppy/range-bound)
• Small position size (5–10% of capital)

3. Recommended Final Setup

```yaml
# Only BTCUSDT (or max 3 majors)
# Second-based refresh enabled
# 1m timeframe

enabled_hft_signal: true
hft_consecutive_green_threshold: 2
hft_consecutive_red_threshold: 2
hft_min_confidence_threshold: 60.0

supported_volatility_action_broadcast:
  - "HFT_LONG_SIGNAL"
  - "HFT_SHORT_SIGNAL"

# After 1–2 weeks of good results → enable auto-trading
supported_volatility_action:
  - "HFT_LONG_SIGNAL"
  - "HFT_SHORT_SIGNAL"
```

Troubleshooting

No Signals

• enabled_hft_signal: true ?
• Using only 1–3 major symbols?
• Second-based data enabled?
• Confidence too high? → try 50.0

Too Many / Low-Quality Signals

Still too many?

```yaml
hft_consecutive_green_threshold: 3
hft_consecutive_red_threshold: 3
hft_min_confidence_threshold: 70.0
```

Quick Start Checklist

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