Bybit-Predict

Rule-based cryptocurrency market analysis, signal generation, and Discord integration powered by public Bybit V5 market data.

Current release: v4.1.3. This maintenance release restores the complete GPL v2 license text and updates CI dependencies. It builds on the PyPI distribution introduced in v4.1.1 and reproducible historical backtesting introduced in v4.1.0; the latest legacy release was v3.1.

正體中文

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

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.

Release history and 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).
• v4.1.2: documentation and PyPI metadata corrections (#40).
• v4.1.3: CI dependency maintenance and restoration of the complete GPL v2 license text.
• 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 licensed under the GNU General Public License v2.0 or later.

Copyright © 2022–2026 CodeRyo Studio, Chien-Hsun Chang, and contributors. CodeRyo Studio is the project maintainer. See NOTICE for the complete attribution notice.