jgtpy

jgtpy (pdsp/ids/cds)

Enhanced JGTPy CDS, IDS, PDS Services

Installation

pip install -U jgtpy

Example

# it was so outdated I removed it, any LLM who has relevant code, please submit
a PR

Signals

Name;Title;Description;Question;Notes
fdb;Fractal Divergent Bar Code;Fractal Divergent Bar Code (contains the signal value either buy, sell or nothing);;" bdb"
fdbs;Fractal Divergent Bar Sell;Fractal Divergent Bar Sell;;" Bearish Divergent Bar"
fdbb;Fractal Divergent Bar Buy;Fractal Divergent Bar Buy;;" Bullish Divergent Bar"
acs;AC Deceleration Sell;AC Deceleration Sell;;" "
acb;AC Acceleration Buy;AC Acceleration Buy;;" "
fs;Fractal Sell;Fractal Sell;Can the representation be optimized ? Enhanced ?;" "
fb;Fractal Buy;Fractal Buy;;" "
zlcb;Zero Line Crossing Buy;Zero Line Crossing Buy;;" "
zlcs;Zero Line Crossing Sell;Zero Line Crossing Sell;;" "
zcol;Zero Line Crossing;Zero Line Crossing (Not sure if this is a signal);How many bars were there since last cross signal of the opposite direction ? How is the relationship of this signal profit and this number of bars ?;" Number of bars before last cross when another type of signal was generated could be a learning"
sz;Zone Signal Sell;Zone Signal Sell;;" "
bz;Zone Signal Buy;Zone Signal Buy;;" "
ss;Saucer Sell;Saucer Sell;;" "
sb;Saucer Buy;Saucer Buy;;

(it might be somewhere later but for now that will tell LLM about them easiely)

Command Line Tools

The package provides the following command-line tools for working with IDS, CDS, and related data services:

Command Entry Point Description
jgtcli jgtpy.jgtcli:main General CLI for instrument/timeframe data operations: fetch, process, and chart PDS/IDS/CDS/ADS data. Handles argument parsing for instruments, timeframes, date ranges, and indicator options.
cdscli jgtpy.cdscli:main CLI for creating and processing Chaos Data Service (CDS) files from instrument/timeframe data, with support for indicator and ADS options.
pds2cds jgtpy.pds2cds:main Convert a PDS (Price Data Service) file to a CDS (Chaos Data Service) file, with options for bar count and TLID date range.
jgtmksg jgtpy.JGTMKSG:main Generate market snapshots and chart visualizations for multiple instruments/timeframes, with advanced charting and HTML output options.
jgtads jgtpy.JGTADS:main Generate and plot Advanced Data Service (ADS) analytics and visualizations from CDS or PDS data, including technical indicators and signals.
jgtids jgtpy.jgtapycli:main Generate and process Indicator Data Service (IDS) files, with CLI options for indicators, normalization, and output.
adscli jgtpy.JGTADS:main Alias for jgtads: generate and plot ADS analytics and visualizations.
mkscli jgtpy.JGTMKSG:main Alias for jgtmksg: generate market snapshots and chart visualizations.
idscli jgtpy.jgtapycli:main Alias for jgtids: generate and process IDS files.
adsfromcds jgtpy.adsfromcdsfile:main Create plots from CDS cache data, supporting custom output directories, chart types, and feature plots.

For more details on each command, read CLI_REFERENCE.md or run the command with --help.

Additional usage demonstrations can be found in the examples directory.

JGT Data Refresh Service

New in v0.6.0: Automated data refresh service with parallel processing and cloud distribution.

The JGT Data Refresh Service (jgtservice) modernizes the manual bash script workflow for processing financial market data with:

Installation

# Install base functionality
pip install -e .

# Install with web service dependencies
pip install -e ".[serve]"

Quick Start

# One-time refresh
jgtservice --refresh-once -i EUR/USD -t H1

# Continuous daemon mode  
jgtservice --daemon --all

# Web API server
jgtservice --web --port 8080

# Check service status
jgtservice --status

Web API Endpoints

When running in web mode (jgtservice --web), the following API endpoints are available:

Configuration

The service can be configured via environment variables:

# Data paths
export JGTPY_DATA="/path/to/current/data" 
export JGTPY_DATA_FULL="/path/to/full/data"

# Timeframe configuration
export TRADABLE_TIMEFRAMES="m1,m5,m15,m30,H1,H4"
export HIGH_TIMEFRAMES="H4,D1,W1"

# Service settings
export JGTPY_SERVICE_MAX_WORKERS=4
export JGTPY_SERVICE_WEB_PORT=8080
export JGTPY_DROPBOX_APP_TOKEN="your_dropbox_token"

# Optional API authentication
export JGTPY_API_KEY="your_api_key"

Performance

For complete documentation, see docs/jgtservice_implementation.md.

Quick Start Scripts

The repository includes convenience scripts for common operations:

# First time setup
./setup-service.sh --full

# Check service status
./check-status.sh

# Refresh all data (excludes m1)
./refresh-all.sh

# Start API server
./start-api-server.sh

# Start continuous daemon
./start-daemon.sh

See SCRIPTS_README.md for detailed script documentation.

=======

APPENDIX

IDS Data Columns

The jgtpy/JGTIDS.py file is responsible for generating and managing IDS (Indicator Data Service) files. Here is a Markdown table documenting all the columns in JGTIDS.py that are in the output:

Column Name Description
Date The date and time of the data point.
Open The opening price of the data point.
High The highest price of the data point.
Low The lowest price of the data point.
Close The closing price of the data point.
Volume The volume of the data point.
Median The median price of the data point.
ao The Awesome Oscillator value.
ac The Acceleration/Deceleration Oscillator value.
jaw The Alligator’s jaw value.
teeth The Alligator’s teeth value.
lips The Alligator’s lips value.
fh The fractal high value.
fl The fractal low value.
fdb The fractal divergent bar value.
fdbb The fractal divergent bar buy signal.
fdbs The fractal divergent bar sell signal.
zlc The zero line cross value.
zlcB The zero line cross buy signal.
zlcS The zero line cross sell signal.
bz The buy zone signal.
sz The sell zone signal.
aocolor The color of the Awesome Oscillator.
accolor The color of the Acceleration/Deceleration Oscillator.
aof The AO fractal peak value.
aofvalue The AO fractal peak value.
aofhighao The AO value on the bullish peak.
aoflowao The AO value on the bearish peak.
aofhigh The price high of the peak.
aoflow The price low of the peak.
mfi The Market Facilitation Index value.
mfi_squat The MFI squat signal.
mfi_green The MFI green signal.
mfi_fade The MFI fade signal.
mfi_fake The MFI fake signal.
mfi_signal The MFI signal value.
mfi_val The MFI value.
zone_signal The zone signal value.
zone_int The zone integer value.

For the full, up-to-date list of IDS (Indicator Data Service) columns and their descriptions, see the canonical documentation:

CDS Data Columns

The jgtpy/JGTCDS.py file is responsible for creating, reading, and managing Chaos Data Service (CDS) files from Price Data Service (PDS) files. Here is a Markdown table documenting all the columns in JGTCDS.py that are added after using JGTIDS.py and are in the output:

Column Name Description
fdbbhigh The high value of the fractal divergent bar buy signal.
fdbblow The low value of the fractal divergent bar buy signal.
fdbshigh The high value of the fractal divergent bar sell signal.
fdbslow The low value of the fractal divergent bar sell signal.
aocolor The color of the Awesome Oscillator.
accolor The color of the Acceleration/Deceleration Oscillator.
zcol The zone color value.
zlc The zero line cross value.
zlcB The zero line cross buy signal.
zlcS The zero line cross sell signal.
bz The buy zone signal.
sz The sell zone signal.
mfi_squat The MFI squat signal.
mfi_green The MFI green signal.
mfi_fade The MFI fade signal.
mfi_fake The MFI fake signal.
mfi_signal The MFI signal value.
mfi_val The MFI value.
zone_signal The zone signal value.
zone_int The zone integer value.

IDS Purpose

The jgtpy/JGTIDS.py file is responsible for generating and managing IDS (Indicator Data Service) files. The jgtids script, exposed through [project.scripts] in pyproject.toml, provides functionalities to create IDS files, read IDS files, and perform other related operations. Here is a detailed documentation of the purpose of JGTIDS and what end-results it produces in terms of data for JGTCDS.py:

CDS Purpose

The jgtpy/JGTCDS.py file is responsible for creating, reading, and managing Chaos Data Service (CDS) files from Price Data Service (PDS) files. Here is a detailed documentation of the purpose of JGTCDS and what it produces after getting data from JGTIDS.py:

CDSSvc Purpose

The jgtpy/JGTCDSSvc.py file is responsible for providing services related to Chaos Data Service (CDS) files. Here is a detailed documentation of the purpose of JGTCDSSvc and what it produces:

jgtads: Advanced Data Service Analytics CLI

jgtads is the command-line gateway to Advanced Data Service (ADS) analytics and visualizations. It empowers you to:

Typical usage:

jgtads --instrument EURUSD --timeframe H1 --show --save_figure my_analytics.png

Or, to save with auto-naming:

jgtads --instrument EURUSD --timeframe H1 --save_figure charts/ --save_figure_as_timeframe

Like a fractal lens, jgtads reveals the hidden patterns in your market data—one invocation, many insights.

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