The JGT platform focuses on Bill Williams indicators for systematic trading analysis. These indicators are actively used in jgtpy.JGTIDS and jgtapyhelper for signal generation.
The Alligator indicator is central to JGT platform analysis, used in multiple degrees for multi-timeframe confluence.
JGT Implementation: Three smoothed moving averages representing market phases:
JGT Usage Patterns:
import pandas as pd
from jgtapy import Indicators
df = pd.read_csv('EURUSD60.csv')
i = Indicators(df)
# Regular Alligator (Primary analysis)
i.alligator(period_jaws=13, period_teeth=8, period_lips=5,
shift_jaws=8, shift_teeth=5, shift_lips=3,
column_name_jaws='jaw', column_name_teeth='teeth', column_name_lips='lips')
# Big Alligator (Higher timeframe context)
i.alligator(period_jaws=89, period_teeth=55, period_lips=34,
shift_jaws=55, shift_teeth=34, shift_lips=21,
column_name_jaws='bjaw', column_name_teeth='bteeth', column_name_lips='blips')
# Tide Alligator (Macro trend analysis)
i.alligator(period_jaws=377, period_teeth=233, period_lips=144,
shift_jaws=233, shift_teeth=144, shift_lips=89,
column_name_jaws='tjaw', column_name_teeth='tteeth', column_name_lips='tlips')
Output Columns: jaw, teeth, lips (+ variants for big/tide)
Core momentum indicator used for FDB signal detection and ZLC (Zero Line Cross) analysis.
JGT Implementation: Difference between 5-period and 34-period SMA of median price JGT Usage: Primary component of FDB (Fractal Divergent Bar) signals and momentum analysis
i.ao_ac_oscillator(column_name_ao='ao', column_name_ac='ac')
Output Columns: ao
Measures momentum acceleration/deceleration, used for signal confirmation in JGT platform.
JGT Implementation: AO minus 5-period SMA of AO
JGT Usage: Signal confirmation and momentum validation in conjunction with AO
# Combined with AO in single call
i.ao_ac_oscillator(column_name_ao='ao', column_name_ac='ac')
Output Columns: ac
Multi-degree fractal analysis for support/resistance identification across timeframes.
JGT Implementation: Pattern recognition for potential reversal points JGT Usage: Multiple degrees for comprehensive support/resistance mapping
# Standard fractals (5-bar pattern)
i.fractals(column_name_high='fh', column_name_low='fl')
# Progressive degrees for multi-timeframe analysis
i.fractals3(column_name_high='fh3', column_name_low='fl3')
i.fractals5(column_name_high='fh5', column_name_low='fl5')
i.fractals8(column_name_high='fh8', column_name_low='fl8')
i.fractals13(column_name_high='fh13', column_name_low='fl13')
i.fractals21(column_name_high='fh21', column_name_low='fl21')
i.fractals34(column_name_high='fh34', column_name_low='fl34')
i.fractals55(column_name_high='fh55', column_name_low='fl55')
i.fractals89(column_name_high='fh89', column_name_low='fl89')
Output Columns: fh, fl (high/low fractals with degree suffixes)
Bill Williams’ MFI for volume efficiency analysis and signal quality assessment.
JGT Implementation: Measures efficiency of price movement relative to volume JGT Usage: Signal quality assessment through Squat, Green, Fade, and Fake patterns
i.bw_mfi(column_name='mfi')
Output Columns: mfi
JGT Signal Patterns:
Alligator phase analysis for market structure identification.
JGT Implementation: Histogram showing Alligator line convergence/divergence JGT Usage: Market phase identification (sleeping, awakening, eating, sated)
i.gator(period_jaws=13, period_teeth=8, period_lips=5,
shift_jaws=8, shift_teeth=5, shift_lips=3,
column_name_val1='gl', column_name_val2='gh')
Output Columns: gl, gh
Market Data → jgtapy Indicators → jgtpy.JGTIDS → jgtml Signal Detection → Trading Decisions
The JGT platform uses standardized column names for indicator integration:
# Standard naming convention
from jgtutils.jgtconstants import (
JAW, TEETH, LIPS, # Regular Alligator
BJAW, BTEETH, BLIPS, # Big Alligator
TJAW, TTEETH, TLIPS, # Tide Alligator
AO, AC, # Oscillators
FH, FL, FH3, FL3, # ... , # Fractals
MFI # Market Facilitation Index
)
Indicator usage is controlled through JGTIDSRequest objects:
from jgtpy.JGTIDSRequest import JGTIDSRequest
rq = JGTIDSRequest()
rq.mfi_flag = True # Enable MFI calculation
rq.gator_oscillator_flag = False # Disable Gator (optional)
rq.balligator_flag = True # Enable Big Alligator
rq.talligator_flag = True # Enable Tide Alligator
The jgtapy package includes many additional indicators that are not currently used in the JGT platform’s core trading logic:
# These work but are not part of JGT platform logic
i.sma(period=20, column_name='sma20')
i.bollinger_bands(period=20, column_name='bb')
i.macd(column_name='macd')
The JGT platform focuses exclusively on Bill Williams indicators because:
If considering adding indicators to JGT platform usage:
When modifying JGT-used indicators:
This documentation reflects the actual usage patterns within the JGT platform. For experimental or research purposes, the full range of jgtapy indicators remains available.