senatus 0.0.7

Senatus: a trading and market analisys lib

Senatus

A WIP Python library for building trading bots and performing market analysis. Senatus wraps the Binance API (spot and futures) and provides utilities for retrieving market data, computing technical indicators, and visualizing results — so you can focus on strategy logic instead of boilerplate.

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Features

• Binance integration — spot and futures market data via binance-connector and binance-futures-connector
• Data handling — market data returned as pandas DataFrames, ready for analysis
• Numerical analysis — numpy-based computations for signal processing and indicator math
• Visualization — interactive charts via plotly for exploring price action and indicators
• (WIP)Bot-ready — designed as a foundation for automated trading strategies

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Installation

pip install senatus

Virtual environment (recommended)

python3 -m venv .venv
source .venv/bin/activate   # On Windows: .venv\Scripts\activate
pip install senatus

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Quickstart

# Example: fetch OHLCV data and compute a simple moving average
# (full API reference coming soon — see the senatus/ source directory)

from senatus.api.binanceAPI import (getPastCandlesTimeSeries)
from senatus.indicators.indicators import (getMAV, getEMA, getWRSI, find_top)
from senatus.plot import Plot
from senatus.test_trader import TestTrader
from senatus.strategies import RSI_Margins_Strategy, BoolIndicatorStrategy

# Define your parameters
pair = 'bnbusdt'
timeframe = '1h'


# Get past data
priceSeries = getPastCandlesTimeSeries(pair, timeframe)


# Plot data
my_plot = Plot(priceSeries)

my_plot.plot_asset_chart()

wrsi = getWRSI(priceSeries, 8)

my_plot.plot_indicator_dif_chart(wrsi)

is_top = find_top(priceSeries, 25, 0)

tt = TestTrader(priceSeries, 1000)

# Test bot
tt.operate_strategy(is_top, BoolIndicatorStrategy(), my_plot)
tt.operate_strategy(wrsi, RSI_Margins_Strategy(15, 80), my_plot)

my_plot.apply_custom().show()

Full quickstart examples are in progress. See the senatus/ package directory for available modules and the test/ directory for usage patterns.

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Dependencies

Package	Purpose
numpy >= 2.2.3	Numerical computation
pandas >= 2.2.3	Market data as DataFrames
plotly >= 5.24.0	Interactive charting
binance-connector >= 3.12.0	Binance Spot API
binance-futures-connector >= 4.1.0	Binance Futures API

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Project Structure

senatus/
├── senatus/        # Core library package
├── test/           # Tests and usage examples
├── pyproject.toml  # Package metadata and dependencies
└── LICENSE.txt

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Roadmap

• Initial technical indicator library (RSI, MACD, Bollinger Bands, etc.)
• Complete quickstart documentation with code examples
• Backtesting utilities
• Strategy base class for building trading bots

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License

MIT — see LICENSE.txt for details.

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Author

Marco Penaforte — LinkedIn · Portfolio