Trading Tact

✔ Your resource for automated trading strategy development

✔ Empowering retail traders to create efficient income streams

Why Automated Trading?

Efficiency & Diversification

Simultaneously trade multiple strategies, markets and timeframes, any time of the day.

Determine Strategy Viability

Backtest your strategy to quickly determine its long-term profitability and risk profile.

Minimize Mistakes

Keep emotions at bay with the automatic execution of your trading rules.

StrategyQuant Discounts

Use code TACT for 20% off:

 

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QuantAnalyzer

AlgoWizard

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Step-by-step Guides

Trading Strategies

Should You Use the Kelly Criterion for Forex Trading?

Should You Use the Kelly Criterion for Forex Trading?

The Kelly criterion is a famous mathematical formula that attempts to maximize your long-term capital growth. In this post, I’ll apply it to a EURUSD breakout strategy and explain some of its potential shortcomings when applied to forex trading.

Strategy Development

How to Get a Realistic Backtest Spread

How to Get a Realistic Backtest Spread

Your choice of backtest spread can certainly make or break a strategy. This post will show you how to study the intraday spread variations of your market, and suggest several ways to avoid paying ridiculous spreads.

Do You Know Your Strategy’s Optimization Profile?

Do You Know Your Strategy’s Optimization Profile?

Your strategy’s optimization profile often reveals its robustness, helping you select strategies that will remain profitable in live trading. Here I explain why an optimization profile is important, and how you can easily obtain one using StrategyQuant’s optimizer.

Which MT4 Backtest Report Metrics Should You Use?

Which MT4 Backtest Report Metrics Should You Use?

Understanding your backtest report is an essential part of being a successful strategy developer. Here I explain what the numbers mean, and how you can make use of each metric during strategy development.

Out-of-sample Testing Using Monte Carlo Simulations

Out-of-sample Testing Using Monte Carlo Simulations

Traders often use Monte Carlo simulations to estimate worst-case drawdowns, but did you know they can be used for out-of-sample testing too? This post demonstrates the use of StrategyQuant’s Monte Carlo simulator to randomize historical prices and strategy parameters, helping you select robust strategies for live trading.

How Many Trades Should Your Backtest Have?

How Many Trades Should Your Backtest Have?

We all want a large sample of trades in our backtests, but practical limitations such as data availability often get in the way. Here I’ll explain why 30 trades is insufficient, and how you can use standard error to quantify the uncertainty arising from a small sample size.

Live Trading

How to Find a Real Trading Guru

How to Find a Real Trading Guru

Every day I come across a trading guru offering educational content on the internet. Many of them speak of huge returns with minimal effort. Should these be trusted? Here’s some tips on how to separate the wheat from the chaff.

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