Tickblaze is a modern, advanced trading platform designed for both discretionary and automated traders. It offers a comprehensive suite of tools that cater to a wide range of trading needs, including multi-asset trading strategies, real-time market data, backtesting, and strategy development. Tickblaze differentiates itself from other trading platforms in several key areas that appeal to both discretionary and algorithmic traders. Tickblaze offers a unique algorithmic trading property pertaining to strategy dev, testing and portfolio level infrastructure. In addition, you wont need to pay for data, Tickblaze pays for data for you.
Advanced Scripting and Automation Capabilities
Tickblaze supports custom scripting in Python and C#, which is uncommon among its competitors. While many trading platforms offer scripting capabilities, few provide the level of flexibility and complexity available in Tickblaze. Traders can develop highly tailored strategies, automate them, and even create custom indicators or backtest scenarios based on proprietary data.
Comprehensive Backtesting Environment
The platform is known for its robust backtesting capabilities. Tickblaze enables traders to backtest their strategies with real-time, historical data, and provides detailed reports with essential performance metrics such as profit factors, drawdowns, Sharpe ratios, and more.
- Example: A quantitative trader could test a strategy involving multiple assets like forex, futures, and stocks across different timeframes. The platform’s backtesting engine allows traders to optimize parameters and run simulations before going live. In contrast, platforms like TradingView offer backtesting but often with limitations in terms of granularity and multi-symbol trading.
Using the Strategy Wizard (No Coding Required)
Tickblaze offers a visual interface to create strategies, which is suitable for traders who are not comfortable with coding. Here’s how you can do it:
Steps:
Open the Strategy Wizard: Navigate to the Strategy Desktop within the Tickblaze platform.
Define Your Entry and Exit Conditions: You can set up rules for when the strategy should enter and exit trades. For example, you could create a moving average crossover strategy by specifying that a buy order is triggered when the short-term moving average crosses above the long-term moving average, and a sell order when it crosses below.
Set Risk Management Rules: Define stop losses, take profit levels, and position sizing rules to manage risk effectively.
Backtest the Strategy: Once you've built your strategy, run a backtest using historical data to evaluate how it would have performed in the past. This step is crucial for assessing the viability of the strategy before executing it live.
Optimize Parameters: If the backtest results are not satisfactory, use Tickblaze’s optimization tools to fine-tune the strategy parameters (e.g., optimize the length of moving averages).
Example:
A beginner might use the Strategy Wizard to create a simple moving average crossover strategy. Set a condition to buy when the 50-day moving average crosses above the 200-day moving average and sell when it crosses below.
Tickblaze’s advanced scripting, multi-asset support, backtesting tools, and direct market access set it apart from competitors. Whether you're a retail trader looking for an intuitive interface or a quant developing intricate algorithms, Tickblaze offers a flexible and powerful solution that caters to both ends of the spectrum. While it has a learning curve for users unfamiliar with scripting, its robust community and educational resources make it easier to overcome those challenges.