TradeTide 0.2.1

A package for stocks market backtesting.

TradeTide

TradeTide is a trading platform designed to empower traders with advanced analytics, real-time market data, and automated trading capabilities. Our platform caters to both novice and experienced traders, offering a wide range of tools to analyze market trends, execute trades, and manage portfolios efficiently.

Testing

To test localy (with cloning the GitHub repository) you’ll need to install the dependencies and run the coverage command as

>>> git clone https://github.com/MartinPdeS/TradeTide.git
>>> cd TradeTide
>>> pip install -r requirements/requirements.txt
>>> pytest

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Coding example

from TradeTide import BackTester, indicators, get_market_data
from TradeTide import capital_managment, risk_management

market_data = get_market_data('eur', 'usd', year=2023, time_span='30day', spread=0)

indicator =  indicators.BB(periods=20)

indicator.generate_signal(market_data)

indicator.plot()

backtester = BackTester(market=market_data, strategy=indicator)

risk = risk_management.DirectLossProfit(
    market=market_data,
    stop_loss='10pip',
    take_profit='10pip',
)

capital_managment = capital_managment.LimitedCapital(
    initial_capital=100_000,
    risk_management=risk,
    max_cap_per_trade=10_000,
    limit_of_positions=1,
    micro_lot=1_000
)

backtester.backtest(capital_managment=capital_managment)


backtester.plot(show_price=True)

metrics = backtester.metrics

metrics.print()

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Contact Information

As of 2024, the project is still under development. If you want to collaborate, it would be a pleasure! I encourage you to contact me.

PyMieSim was written by Martin Poinsinet de Sivry-Houle .

Email:[e-mail] .