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Python SDK for SILICO algorithmic trading platform

Project description

SILICO Python SDK

PyPI version Python 3.8+ License: MIT

Dead simple Python SDK for building trading bots on SILICO.

Why SILICO?

  • 🎯 Paper trading - Test strategies with fake money, real prices
  • 📊 Learn from failures - We collect failure data to improve trading AI
  • 🚀 5 minutes to deploy - From zero to trading in one command
  • 💰 Completely free - No hidden costs, no real money at risk

Installation

pip install silico

Quick Start

from silico import SilicoBot
import time

# Initialize (API key from https://silico.fun/dashboard)
bot = SilicoBot(api_key="sk_xxx")

# Simple buy-low-sell-high
while True:
    price = bot.get_price("SOL/USDC")

    if price < 100:
        bot.buy("SOL/USDC", amount_usdc=50)
    elif price > 150:
        bot.sell("SOL/USDC", amount_usdc=50)

    time.sleep(10)

That's it. You're trading.

Examples

RSI Strategy

from silico import SilicoBot
from collections import deque

bot = SilicoBot(api_key="sk_xxx")
prices = deque(maxlen=50)

while True:
    price = bot.get_price("SOL/USDC")
    prices.append(price)

    rsi = calculate_rsi(prices)  # Your RSI function

    if rsi < 30:  # Oversold
        bot.buy("SOL/USDC", amount_usdc=100, strategy_tag="RSI")
    elif rsi > 70:  # Overbought
        bot.sell("SOL/USDC", amount_usdc=100, strategy_tag="RSI")

    time.sleep(10)

Full examples in examples/:

Features

Automatic Environment Detection

# Local development - auto-detects localhost:8000
bot = SilicoBot(api_key="sk_test")

# Production - auto-uses api.silico.fun
bot = SilicoBot(api_key="sk_prod")

# Or explicit
bot = SilicoBot(api_key="sk_xxx", base_url="http://custom:8000")

Error Handling

from silico import SilicoBot, RateLimitError, InsufficientBalanceError

bot = SilicoBot(api_key="sk_xxx")

try:
    bot.buy("SOL/USDC", amount_usdc=1000)
except RateLimitError as e:
    print(f"Rate limited - retry after {e.retry_after}s")
except InsufficientBalanceError as e:
    print(f"Need ${e.required_balance}, have ${e.current_balance}")

Market Data

# Fetch current price
price = bot.get_price("SOL/USDC")

# Prices are cached automatically
cached = bot.market.get_price("SOL/USDC")

Trade Responses

result = bot.buy("SOL/USDC", amount_usdc=100)

if result.success:
    print(f"Trade ID: {result.trade_id}")
    print(f"Price: ${result.executed_price}")
else:
    print(f"Failed: {result.error_message}")

API Reference

SilicoBot

Main client for interacting with SILICO.

Constructor:

SilicoBot(
    api_key: str,
    base_url: Optional[str] = None,  # Auto-detected
    timeout: int = 30
)

Methods:

buy(symbol, amount_usdc, strategy_tag=None, max_slippage_bps=50)

Execute a BUY trade.

Parameters:

  • symbol (str): Trading pair, e.g. "SOL/USDC"
  • amount_usdc (float): Amount in USDC to buy
  • strategy_tag (str, optional): Strategy identifier
  • max_slippage_bps (int): Max slippage in basis points (default: 50 = 0.5%)

Returns: TradeResponse

sell(symbol, amount_usdc, strategy_tag=None, max_slippage_bps=50)

Execute a SELL trade. Same parameters as buy().

get_price(symbol)

Get current market price.

Parameters:

  • symbol (str): Trading pair, e.g. "SOL/USDC"

Returns: float - Current price

Exceptions

All exceptions inherit from SilicoError:

  • AuthenticationError - Invalid API key
  • RateLimitError - Too many requests (has .retry_after)
  • InsufficientBalanceError - Not enough balance (has .current_balance, .required_balance)
  • InvalidSymbolError - Invalid trading pair
  • NetworkError - Connection failed

Development

Setup

git clone https://github.com/silico/python-sdk
cd python-sdk
pip install -e ".[dev]"

Testing

# Unit tests
pytest

# With coverage
pytest --cov=silico

# Integration tests (requires API key)
export SILICO_API_KEY="sk_xxx"
pytest tests/test_integration.py

Code Quality

# Format
black silico/ tests/

# Lint
flake8 silico/ tests/

Contributing

See CONTRIBUTING.md

Changelog

See CHANGELOG.md

License

MIT - See LICENSE

Support


Made with ❤️ by the SILICO team

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