Trend on FX Backtest Diary

Unbreakable EA "v1.5.0": The Secret to Its Unwavering Strength Revealed!

Mon, 29 Jun 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Unbreakable EA “v1.5.0”: The Secret to Its Unwavering Strength Revealed!”.

We’ve just wrapped up a comprehensive verification of our algorithmic FX trading system, v1.5.0, and the results are looking great! When it comes to automated trading, it’s not enough for a system to look good on paper; it needs to be robust, meaning it can handle various market conditions and slight changes to its internal settings without falling apart. That’s exactly what we put v1.5.0 through.

EA "v1.5.0": Is It Truly Robust? We Put Its Profitability to the Test!

Sun, 28 Jun 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “EA “v1.5.0”: Is It Truly Robust? We Put Its Profitability to the Test!”.

What’s the Big Idea? Testing Our EA’s Stamina!

When we build an Expert Advisor (EA) for FX trading, it’s not enough for it to look good on paper. We need to know it’s robust – meaning it can handle different market conditions and isn’t just a flash in the pan. Think of it like a champion athlete: can they perform consistently, year after year, not just win one big game? That’s exactly what we set out to test with our EA, version 1.5.0. We put it through two rigorous checks to see if it truly has staying power.

The Golden Logic of Exit: Our EA Found the Perfect Profit-Taking Sweet Spot!

Tue, 16 Jun 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “The Golden Logic of Exit: Our EA Found the Perfect Profit-Taking Sweet Spot!”.

What’s the idea?

When you’re running an Expert Advisor (EA) in FX trading, how you decide to exit a trade is just as crucial as how you enter it. You want to let your winners run, but you also don’t want to hold on for so long that your profits evaporate when the trend reverses. It’s a tricky balance! In previous research (Study 121), we looked at Take Profit (TP) levels, which are essentially hard limits on how much profit you’ll take. For that, we found a pretty straightforward relationship: generally, the looser the TP, the better. But what about more dynamic exit strategies, like using an “exit channel”? That’s what this study was all about. We wanted to see if simply widening the exit channel would always lead to better results, or if there was a sweet spot.

The Take Profit Trap: Why Our EA Found "No TP" is Actually Best!

Mon, 15 Jun 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “The Take Profit Trap: Why Our EA Found “No TP” is Actually Best!”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

Sometimes, the simplest approach is the best. Today, we’re diving into an experiment that looked at whether adding a fixed Take Profit (TP) could improve one of our trend-following EAs, “BreakoutLong.” The existing strategy doesn’t use a fixed TP; instead, it closes trades when the price exits a channel. We wanted to see if setting a specific profit target would make it even more robust.

Can We Predict Market Crashes Sooner? The Hunt for New Risk-Off Signals!

Fri, 12 Jun 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Can We Predict Market Crashes Sooner? The Hunt for New Risk-Off Signals!”.

Trying to predict market downturns before they hit is a holy grail for any automated trading system (EA). Our previous research (Study 117) showed that simply looking at the magnitude of correlation between different assets wasn’t enough to reduce drawdowns. So, we shifted our focus: what if we could find a directional signal that specifically warns us of impending market drops? Our current system uses a basic filter: it reduces risk when the US500 stock index dips below its 200-day Simple Moving Average (SMA). This is like a general “market health check.” But we wanted something better, something that could act as an earlier, more precise storm warning. We explored a few candidates:

Can Currency Correlation Cut Drawdown? Our Surprising Failure!

Thu, 11 Jun 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Can Currency Correlation Cut Drawdown? Our Surprising Failure!”.

What’s the idea?

We’re always looking for ways to make our algorithmic FX trading systems (EAs) more robust, and a big part of that is managing drawdowns. A drawdown (DD) is simply the peak-to-trough decline in your trading account balance – basically, how much your equity dropped from its highest point before recovering. Lower drawdowns mean a smoother ride and less stress! My hypothesis for this experiment was that a significant portion of our system’s drawdown, especially in our robust5 setup (which focuses on all-yen cross pairs like EURJPY, GBPJPY, etc.), comes from what I call “correlation drawdown.” This happens when multiple currency pairs move in the same unfavorable direction simultaneously. Think of it like putting all your eggs in one basket – if all your trades are highly correlated, a single market event can hit them all at once, leading to concentrated risk and a bigger DD. So, the bright idea was this: what if we could dynamically adjust our leverage based on the average correlation between these currency pairs? If the average correlation was high, we’d reduce our leverage. This would hopefully shrink the concentrated risk and, in turn, reduce our drawdown. Then, when correlations were lower, we’d have room to increase leverage again (since DD is often the main constraint on how much leverage we can use). To test this, I took our core FX system (version 1.4.1, which already incorporates volume-targeting, a stock market filter, and higher timeframe analysis) and added a “correlation overlay.” This overlay calculated an adjustment factor (corr_lev) based on the current pair correlations, clipping it between 0.6 and 1.4 to keep the leverage adjustments within reasonable bounds. Crucially, this was designed to be applied without any “hindsight” – meaning the system wouldn’t know future correlations when making decisions.

Can More Filters Guarantee Better Trades? The “Magic” We Uncovered!

Tue, 09 Jun 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Can More Filters Guarantee Better Trades? The “Magic” We Uncovered!”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

What’s the idea?

We often get requests from traders asking if we can make an Expert Advisor (EA) even better by adding more filters. The idea is simple: if we stack several filters on top of each other, can we boost the win rate and Profit Factor (PF), even if it means taking fewer trades? It sounds logical, right? More conditions should mean higher quality trades! However, our past research (studies 62, 86, 89, and 35) has given us a healthy dose of skepticism. We’ve often seen that filters might look great on the data they were developed on (what we call “In-Sample” or IS data), but their magic tends to disappear when tested on fresh, unseen data (“Out-of-Sample” or OOS). This time, we wanted to put that idea to a really tough test. The goal wasn’t just to make more money, but to improve the quality and consistency of the trades, even if it meant a slight dip in overall trade volume.

Index CFD Trading: Unmasking The Real Costs for Our EA Strategy

Tue, 02 Jun 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Index CFD Trading: Unmasking The Real Costs for Our EA Strategy”.

What’s the idea?

Getting an Expert Advisor (EA) ready for live trading isn’t just about crafting a brilliant strategy; it’s also about ensuring it can survive the real-world costs of trading. This research dive, “Research 108,” was all about making sure a specific strategy — what I call an “index sleeve” — wouldn’t be eaten alive by trading costs, especially those associated with Index CFDs. An Index CFD (Contract for Difference) is a popular way to trade the price movements of a stock market index, like the S&P 500, without actually buying all the underlying stocks. It’s flexible, but comes with its own set of costs. Our “index sleeve” strategy is designed to capture big, long-term trends, making very few trades over many years. Think of it like a patient hunter waiting for the perfect, massive game.

FX Revolution! How Stock Market Signals Unlocked a New Edge!

Sat, 23 May 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “FX Revolution! How Stock Market Signals Unlocked a New Edge!”.

What if the Stock Market Held a Secret for Your FX Trades?

We’ve always been on the hunt for new ways to improve our algorithmic FX trading strategies (EAs). Today, we’re diving into a fascinating new approach: using the stock market as a kind of “weather forecast” for our FX trades! This is the first time we’ve tried using an external index as a signal, and the results are pretty exciting.

Index EA on M1: Can It Survive Intraday Shocks? Unveiling Hidden Risks!

Sun, 26 Apr 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Index EA on M1: Can It Survive Intraday Shocks? Unveiling Hidden Risks!”.

What’s the idea?

You know how sometimes a trading strategy looks amazing on paper, or when you backtest it on daily charts, but you worry about what happens when things get really fast and furious during the trading day? That’s exactly the challenge we tackled recently! We’ve been working on an exciting strategy (let’s call it “Research 59”) that showed great potential for trading stock indices. But there was one big question mark, a “blocker” preventing us from fully adopting it: we’d only tested it on daily (D1) data. We hadn’t checked how it would handle the minute-by-minute (M1) ups and downs, especially those sudden gaps or sharp drops that can happen intraday. Our main concern was whether these rapid moves could cause the strategy to hit our internal “proprietary daily -5% loss limit.” It’s like having a race car that’s proven on the highway, but you need to see if it can handle the tight turns and sudden stops of a city race track!

Optimizing EA Exits: Is There a Hidden Winning Logic, Or Just a Wall?

Sun, 19 Apr 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Optimizing EA Exits: Is There a Hidden Winning Logic, Or Just a Wall?”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

Sometimes, the best optimization is no optimization at all. We’ve often focused on making our Expert Advisors (EAs) smarter about when to enter a trade. But what about when to leave? This time, we set our sights on optimizing the exit strategy for our core trend-following system, BreakoutLong. The idea behind focusing on exits is that improving how you manage an already established “edge” (your trading advantage) might carry less risk of overfitting compared to tweaking entries. It’s like improving your car’s braking system versus trying to make it accelerate faster – both matter, but one might be a safer bet for overall performance.

Ichimoku Kinko Hyo & Supertrend: Can They Deliver a Winning EA Logic?

Sat, 18 Apr 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Ichimoku Kinko Hyo & Supertrend: Can They Deliver a Winning EA Logic?”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

What’s the idea?

Alright, let’s talk about trend following! We’re always on the hunt for new “edges” in the market – those little statistical advantages that can help our algorithmic trading systems (EAs) make money. This time, I decided to put two well-known trend indicators, Ichimoku Kinko Hyo and Supertrend, to the test. Could they offer a fresh perspective on capturing trends, or even replace parts of our existing, proven strategies? My goal was simple: see if these indicators could identify profitable long (buy) trends on their own, and then, if they showed promise, see how they’d perform when integrated into my core multi-timeframe system.

Unlock Explosive Monthly Profits: The 3 Secrets to Boosting Your EA!

Wed, 15 Apr 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Unlock Explosive Monthly Profits: The 3 Secrets to Boosting Your EA!”.

This research dives into how we can squeeze more monthly profit out of our algorithmic FX trading systems, or EAs. There are fundamentally three ways to do this:

Increase your risk appetite: This means being willing to dip further into your “drawdown budget” – the maximum loss you’re comfortable with.
Improve your system’s efficiency: Specifically, enhance the ratio of your returns to your drawdowns, which then allows you to safely use more leverage.
Pyramiding: This is about adding to winning positions, essentially compounding your gains when a trend is strong. This is a powerful technique but often requires significant changes to the core trading engine itself. For this study, we focused on the first two approaches, as pyramiding is a much larger undertaking.

How I Tested It

We looked at two main areas to see if we could boost those monthly returns.

Double Your Gold Profits? New Dual-Entry Strategy for XAUUSD!

Mon, 13 Apr 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Double Your Gold Profits? New Dual-Entry Strategy for XAUUSD!”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

What’s the idea?

We’re always on the lookout for ways to make our algorithmic trading systems (EAs) even better, and one common approach is diversification. The theory goes that if you combine multiple strategies, especially ones that don’t always move in lockstep, you can smooth out returns and potentially reduce overall risk. This time, we explored combining two different “long” entry strategies for Gold (XAUUSD) to see if we could create a super-strategy. Specifically, we looked at:

Fractals Evolved: Can Combining Indicators Create the Ultimate EA?

Wed, 08 Apr 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Fractals Evolved: Can Combining Indicators Create the Ultimate EA?”.

What’s the idea?

We’re always on the hunt for robust trading strategies, especially those based on common technical indicators. This time, we wanted to see if we could take a “FractalBreakout” strategy – which essentially looks for price breaking above or below a recent fractal (a specific high or low point) – and make it more reliable by adding other popular indicators as filters. Think of it like this: a fractal breakout can give you a signal, but maybe it’s often a false alarm. Could we use other indicators to confirm that signal, like a second opinion, before entering a trade? We chose three well-known indicators to combine with the fractal breakout:

Your EA's Emergency Brake? How Auto-Risk Adjustments Save Your Trades!

Mon, 06 Apr 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Your EA’s Emergency Brake? How Auto-Risk Adjustments Save Your Trades!”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

What’s the big idea here?

Today, we’re diving into a strategy that combines a core trend-following approach with a clever risk management layer I call an “equity overlay.” The main goal of this particular experiment was to see if we could reduce the dreaded drawdown – that temporary decline in your trading account balance – without sacrificing too much profit. The core of the strategy is built on identifying long-term trends, a classic “edge” in trading. But the twist comes from the “equity overlay.” Here’s how it works: if your trading account’s equity (your current balance) drops below its 60-day Moving Average (MA) – essentially, if your account performance has been weaker than its recent average – the EA automatically halves your risk per trade. Think of it like tightening your belt when your finances are a bit lean. The idea is to protect capital during rough patches, so you’re still around when the good times return.

AI Unlocks FX Secrets: Machine Learning Discovers Hidden Trading Edge!

Sat, 04 Apr 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “AI Unlocks FX Secrets: Machine Learning Discovers Hidden Trading Edge!”.

What’s the idea?

We’re always on the hunt for those elusive “edges” in algorithmic trading – those persistent, profitable advantages that give our trading strategies an upper hand. Lately, I’ve been diving deep into Machine Learning (ML) to see if these sophisticated algorithms could uncover new, hidden patterns in FX price data that traditional indicators might miss. The goal was ambitious: I wanted to give an ML model a bunch of different inputs (what we call “features” in ML) and let it find its own way. We fed it 19 distinct features, ranging from simple moving averages to more complex momentum and volatility indicators. We then set it loose across a massive dataset covering all 20 major currency pairs. Could ML, with its incredible flexibility, find something truly novel in the markets?

Power in Numbers: How Combining Weak EAs Boosts Success & Stability

Sun, 29 Mar 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Power in Numbers: How Combining Weak EAs Boosts Success & Stability”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

What’s the idea?

Today, we’re diving into a fascinating approach to building robust trading systems: combining multiple “weak edges” that don’t necessarily move in lockstep. Think of it like having several small, consistent fishing spots that are unlikely to all go dry at the same time. Individually, each spot might not yield a huge catch, but together, they create a much more reliable and stable supply. The goal here is to create a diversified portfolio of uncorrelated strategies, each with a slight advantage, to achieve low drawdown (DD) and high stability – a real path to consistent withdrawals.

Our Promising EA Vanished: How Future Data Exposed a False Edge

Fri, 27 Mar 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Our Promising EA Vanished: How Future Data Exposed a False Edge”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

What’s the idea?

You know how exciting it is to find an Expert Advisor (EA) strategy that looks incredibly profitable in backtests? Well, we’ve been digging deep into some of those promising candidates, especially one involving a Donchian channel strategy on Gold, which initially showed a whopping +21.8% profit. The big question we’re always trying to answer is: Is this a real “edge” – a genuine statistical advantage that will keep making money – or just a fluke? To truly answer that, we need to work with “clean data.” Think of it like a chef needing fresh, unadulterated ingredients. In trading, “clean data” means making sure our historical price information is free from any errors or, crucially, any “future data leakage” (also known as look-ahead bias). This is where information from after a trade would have occurred accidentally creeps into the data used to decide on the trade, making the strategy look much better than it ever could in real life. It’s like seeing tomorrow’s newspaper headlines today – you’d make a killing, but it’s not a realistic scenario!

Gold Data Alert: Critical Anomalies Found, Threatening EA Validation!

Thu, 26 Mar 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Gold Data Alert: Critical Anomalies Found, Threatening EA Validation!”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

The Gold Rush That Wasn’t: Unmasking a Sneaky Data Quality Problem

You know how crucial good data is when you’re backtesting EAs (Expert Advisors) for FX trading. We spend so much time worrying about overfitting – making sure our strategies aren’t just “lucky” on past data. But what if the data itself is lying to us? That’s the messy, fascinating problem I recently stumbled upon, and it completely changed how I approach all my testing.

Gold EA Failure: Why Our Donchian Strategy Hit Intraday Limits

Wed, 25 Mar 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Gold EA Failure: Why Our Donchian Strategy Hit Intraday Limits”.

Here’s an interesting case study from our recent research, where a significant daily loss wasn’t what it seemed on the surface.

What’s the idea?

We were testing a gold trading Expert Advisor (EA) based on the Donchian Channel strategy, operating on the M1 (1-minute) timeframe. For those new to EAs, it’s basically an automated system that executes trades for you. The Donchian Channel is a classic trend-following indicator, designed to help us catch and ride big market moves. The core idea is to let profits run as long as the trend continues.

Gold Trading: We Uncovered the Edge of Donchian Trend Following

Tue, 24 Mar 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “Gold Trading: We Uncovered the Edge of Donchian Trend Following”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

We’ve just found what might be a truly robust trading strategy for Gold (XAUUSD) using Donchian Channels – a first for our research, ticking all three critical boxes for a promising EA!

The Ultimate EA Hunt: Scanning Every FX Pair for Untapped Profit

Mon, 23 Mar 2026 00:00:00 +0000

A beginner-friendly summary of the verification: “The Ultimate EA Hunt: Scanning Every FX Pair for Untapped Profit”.

Breakout entry example (XAUUSD daily, real data): buy when price breaks above the recent high.

We just wrapped up a massive scanning project for algorithmic trading strategies (Expert Advisors, or EAs) across various currency pairs, and we’ve found some really promising, specialized candidates!