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bybit-predict 4.1.1

Pypi.org August 9, 2026

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Help Docs Sponsors Log in Register Search PyPI Search bybit-predict 4.1.1 Rule-based cryptocurrency market signal

analysis using Bybit V5 market data. pip install bybit-predict==4.1.1 Copy PIP instructions Description Download files

Release history Bybit-Predict Rule-based cryptocurrency market analysis, signal generation, and Discord integration

to v4's modern package architecture without discarding the repository, issues, merged contributions, or Git history. The

latest legacy release was v3.1. 繁體中文 What Bybit-Predict is — and is not Bybit-Predict analyzes OHLCV candles

from Bybit and produces informational market signals and reference levels. The current legacy-rule-based-v4 strategy

uses candle shapes, volume power, percentiles, IQR, and Fibonacci-inspired levels. It does not use a machine-learning

model and it is not a trading bot. It never places orders, asks for Bybit API credentials, or promises a market outcome.

Risk notice: Cryptocurrency markets are volatile. Results are informational only, are not financial advice, and must not

be treated as a recommendation or guarantee to trade. Highlights One Bybit V5 K-line request retrieves up to 1,000

candles; the default analysis uses 180 instead of sending 180 individual requests. Typed, UTC-normalized Candle and

immutable PredictionResult models. Stateless legacy strategy: concurrent analyses cannot mix their data. CLI for local

use and an optional non-blocking Discord slash command. Active symbols validated using Bybit instrument metadata, not a

hard-coded coin list. Tests, Ruff, Pyright, GitHub Actions CI, and Dependabot. Deterministic historical backtesting with

saved CSV inputs, explicit assumptions, performance metrics, and two simple baselines. Requirements Python 3.11 or later

Internet access to Bybit public market endpoints No Bybit account, API key, or API secret is needed for public market

analysis. The optional Discord interface needs only a Discord bot token. Install From PyPI Install the CLI and its

standard Bybit V5 dependency with: python -m pip install bybit-predict Install the optional Discord interface when you

need it: python -m pip install "bybit-predict[discord]" For an isolated command-line installation, use pipx: pipx

install bybit-predict From source git clone https://github.com/KageRyo/Bybit-Predict.git cd Bybit-Predict python -m venv

.venv source .venv/bin/activate # Windows: .venv\\Scripts\\activate python -m pip install --upgrade pip python -m pip

install . For contributors, install development and optional Discord dependencies: python -m pip install -e ".[dev]" CLI

Analyze the default 180 four-hour candles: bybit-predict analyze BTCUSDT Choose another supported Bybit interval and

candle count: bybit-predict analyze ETHUSDT --interval 60 --limit 240 Example output: Symbol: BTCUSDT Strategy:

legacy-rule-based-v4 (rule-based, not ML) Timeframe: 240 Candles: 180 Trend: Bullish Signal strength: 68.00% Reference

levels: 0% ... 23.6% ... The CLI returns a non-zero status for invalid symbols, invalid parameters, or market-data

failures. You can also run python -m bybit_predict analyze BTCUSDT. Backtest a historical range v4.1.0 adds a

reproducible backtest command. It signals from a trailing closed-candle window, executes non-neutral signals at the next

candle open, and exits at that candle close. The command prints its assumptions with metrics and baselines; it does not

make a trading claim. bybit-predict backtest BTCUSDT \ --interval 240 \ --start 2024-01-01 \ --end 2025-01-01 \

--strategy legacy \ --window 180 \ --save-data data/btcusdt-2024-4h.csv Re-run against the saved, normalized CSV without

downloading data again: bybit-predict backtest BTCUSDT \ --interval 240 \ --start 2024-01-01 \ --end 2025-01-01 \

--strategy legacy \ --window 180 \ --data data/btcusdt-2024-4h.csv --start is inclusive, --end is exclusive, and

date-only values mean midnight UTC. See backtesting and evaluation for metric definitions, baseline semantics,

reproducibility requirements, and important limitations. Discord slash commands Install the Discord optional dependency,

create a Discord application/bot, and invite it with the bot and applications.commands scopes. python -m pip install

".[discord]" cp .env.example .env Set environment variables securely (for example by sourcing .env locally or using your

deployment secret manager): export DISCORD_BOT_TOKEN="your-token" # Optional: immediately sync commands to one

development guild. export DISCORD_GUILD_ID="your-development-guild-id" Then start the interface: bybit-predict discord

Use the slash command in Discord: /predict symbol:BTCUSDT interval:240 candles:180 The command defers external market

work to a thread, so a slow Bybit request does not block Discord's event loop. Responses include the strategy, trend,

signal strength, candle period, and neutral reference levels rather than trading instructions. Never commit .env, bot

tokens, API keys, or downloaded data. They are ignored by default. Configuration Variable Required Purpose

DISCORD_BOT_TOKEN Discord only Discord bot authentication token. DISCORD_GUILD_ID No Development guild for immediate

command syncing. BYBIT_TESTNET No true opts into Bybit testnet public data; default is false. The market-data client

intentionally exposes no Bybit credential settings: public K-line and instrument endpoints do not require

authentication. Architecture Bybit V5 public API │ BybitV5MarketClient ──→ normalized UTC Candles │ ├──

PredictionService ──→ LegacyRuleBasedStrategy ──→ PredictionResult │ │ │ │

├──────── CLI └── future strategies │ └──────── Discord slash command │

└── BacktestEngine ─────→ LegacyRuleBasedStrategy ──→ BacktestResult │

├──────── historical CLI └──────── saved CSV input/output market/ owns Bybit V5

requests, retry boundaries, pagination, and response normalization. strategies/ contains pure, deterministic signal

calculations and has no dependency on Bybit or Discord. services/ composes market data with a strategy. interfaces/

converts user input/output only. Strategy and evaluation LegacyRuleBasedStrategy is deliberately retained as the

project’s historical core. It classifies candle bodies and wicks, compares significant bullish and bearish volume, and

derives optional reference prices from IQR and percentile calculations. It is explicitly named so later strategies can

be compared fairly. v4 intentionally fixes v3's zero/six-candle volume window, timezone handling, and bearish Fibonacci

label ordering; the exact compatibility baseline and retained semantics are documented in legacy strategy migration

notes. The v4.1.0 backtesting work (#25) defines a fixed trailing analysis window, next-open entry, same-candle-close

exit, and neutral-as-cash behavior before calculating directional accuracy, win rate, average return, maximum drawdown,

and a zero-risk-rate Sharpe ratio. It compares the result with buy-and-hold and a 10/20 SMA directional baseline. See

backtesting and evaluation for the exact rules and limitations. Until published results are independently interpreted in

context, this project makes no claim that its signals predict future prices. Development and quality checks ruff check .

ruff format --check . pyright pytest Pull requests run these checks on Python 3.11, 3.12, and 3.13. See CONTRIBUTING.md

for local setup and the required feature/<issue>-<description> branch convention. Publishing Pushing a final

release tag builds an sdist and universal wheel, validates them, publishes through PyPI Trusted Publishing, then creates

a GitHub Release with the same artifacts. See PyPI publishing for the maintainer-only setup and release procedure. No

long-lived PyPI API token is stored in this repository or its GitHub Actions secrets. Roadmap v4.0.0: package

architecture, public Bybit V5 client, stateless legacy strategy, CLI, Discord slash command, configuration, quality

gates, and documentation. v4.1.0: reproducible backtesting and evaluation (#25). v4.1.1: PyPI distribution, Trusted

Publishing, and package-release automation (#37). Later: additional strategies may implement the same strategy contract;

ML is a future option, not an implied feature. Contributing and history The repository name, issues, forks, stars,

merged pull requests, and Git history are intentionally preserved. Thanks to prior contributors, including RRAaru. New

contributors are welcome—start with good first issues or read CONTRIBUTING.md. License and copyright Bybit-Predict is

and contributors. CodeRyo Studio is the project maintainer. See NOTICE for the complete attribution notice. Project

links Data verified by PyPI on Aug 9, 2026 Data provided by the project maintainers, verified at the time the release

was uploaded to PyPI. Changelog Documentation Homepage Issues Repository Key dates PyPI data Data sourced directly from

PyPI's database. Released: Aug 9, 2026 Newer release available (4.1.2) 1 maintainer PyPI data Data sourced directly from

PyPI's database. KageRyo Credits Author: CodeRyo Studio, Chien-Hsun Chang GitHub Statistics Data verified by PyPI

on Aug 9, 2026 The GitHub source repository was provided by the project maintainers and verified by PyPI at the

time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently

verified. Repository Stars: Forks: Open issues: Open PRs: License expression GPL-2.0-or-later View SPDX License List

Requires Python >=3.11 Provides Extra dev discord Tags bybit cryptocurrency discord market-analysis signals

Classifiers Development Status 4 - Beta Intended Audience Developers License OSI Approved :: GNU General Public License

v2 (GPLv2) Programming Language Python :: 3 Python :: 3.11 Python :: 3.12 Python :: 3.13 Report project as malware

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