Six months ago the Algomatic Trading Database was still relatively small.
A handful of strategies.
A few portfolio combinations.
Mostly focused on proving one thing:
Simple, rule-based systems can outperform most discretionary trading.
Since then, the database has grown into a much more complete systematic trading library built around diversification, robustness, and portfolio construction.
Today, thousands of traders read Algomatic Trading every month, but only premium members get access to the full database, complete code and every future release.
And the library keeps expanding.
One of the goals behind Algomatic Trading has always been consistency.
Since launching the database, I’ve aimed to publish at least one new strategy idea every month, continuously expanding the library with different markets, timeframes and trading styles. When I published the last database update in November 2025, the library had reached Strategy #11.
Six months later, it has now grown to Strategy #18.
That means members during this period received seven completely new strategy releases, on top of all previous systems and portfolio combinations.
And importantly, older strategies do not suddenly become irrelevant because they were released earlier. Most of these systems are built around persistent market behaviours and many of them have continued performing well throughout 2026.
#4 Linear Regression Mean Reversion
SP500 | Mean Reversion | Released May 2025
#5 Simple 10-day Momentum
Nasdaq | Momentum | Released June 2025
#6 Connors RSI Pullback System
Equity Indices | Mean Reversion | Released July 2025
#7 Stochastic Extremes on Gold
Gold | Mean Reversion | Released August 2025
#8 Donchian Channel Breakout
Nasdaq100/Commodities | Trend Following | Released September 2025
#9 5-Day Mean Reversion
Nasdaq100/SP500 | Mean Reversion | Released September 2025
#10 Late Lunch DAX Intraday
DAX40 | Intraday Trend | Released October 2025
#11 The Envelope Reversion System
SP500 | Mean Reversion | Released November 2025
#12 The DAX Panic-Reversion System
DAX40 | Mean Reversion | Released December 2025
#13 Turnaround Tuesday Strategy
Equity Indices | Mean Reversion | Released January 2026
#14 The 3 Day Pullback Strategy
Nasdaq100 | Trend Pullback | Released February 2026
#15 Bear Market Rally Short System
Equity Indices | Mean Reversion | Released February 2026
#16 Simple Divergence Oil Strategy
US Crude | Mean Reversion | Released March 2026
#17 Gold Trend Breakout Strategy
Gold | Trend Following | Released April 2026
#18 The SuperTrend Crossover Strategy
Nasdaq100/DOW | Trend Following | Released May 2026
The biggest lesson from building this database has been simple:
The real edge is rarely one strategy.
It’s how multiple independent edges work together.
That’s why portfolio construction has become a larger focus inside Algomatic Trading.
Portfolio #1: Trend-Following + Mean-Reversion
(August 2025)
Portfolio #2: Four Systems Are Better Than One
(October 2025)
Portfolio #3: Dual-Edge Diversification
(November 2025)
Portfolio #4: Intraday + Swing Combination
(December 2025)
Portfolio #5: The Five Pillar Portfolio
(January 2026)
Portfolio #6: Gold + Commodity Diversification
(March 2026)
Portfolio #7: Ultimate Gold Portfolio
(April 2026)
Portfolio #8: Coming Soon
The database will continue expanding throughout 2026.
Areas I’m currently researching include:
Commodity trend systems
Bond market strategies
Additional intraday index systems
Multi-asset portfolio construction
More long-only portfolio combinations
Robustness and risk overlays
Each new release increases the value of the library for existing members.
2026 has started strong for my live portfolio.
So far this year:
+28.8% YTD after fees & commissions
82.6% win rate
46 trades executed this year
Average holding time: ~2 days 8 hours
The focus has not been maximizing short-term returns.
It has been building robust portfolios with diversified, rule-based edges that can survive different market conditions.
That means:
Volatility-adjusted sizing
Controlled drawdowns
Lower correlation between systems
Combining trend-following and mean-reversion
The systems are not optimized to look perfect.
They are designed to be tradable.
One of the biggest problems with strategy research online is transparency.
Most systems are shown once, usually with a single optimized backtest and then never seen again.
I wanted to build something different.
That’s why every paid strategy inside Algomatic Trading is tracked publicly through the Strategy Performance Tracker on the website.
→ Algomatic Trading Strategy Tracker
The tracker shows the performance of every premium strategy since release, including:
Total return since publication
YTD performance
Drawdowns
Strategy comparisons
Equity curves
Best and worst performers
Portfolio-level behavior
The goal is not to show perfect backtests.
The goal is transparency.
Some strategies outperform in certain market environments.
Others underperform for periods of time.
Some of these will probably even turn out to be overfitted.
That’s normal.
What matters is how diversified rule-based systems work together over time.
The tracker has also become one of the most valuable parts of the database because it allows members to follow the evolution of the entire strategy library in real time.
There are different paths to join depending on how deeply you want to access the library:
Unlock every new strategy release as it drops (does not include any old strategies).
Best if you mainly want access to future releases rather than the full historical database.
Unlock:
Every past strategy (8 Premium + 6 Paid)
Every future release (8-12+ upcoming strategies)
All portfolio combinations
Full code and rules/parameters for every single strategy
If you are serious about systematic trading, portfolio construction and long-term consistency, this is where the real value is. For each new strategy the value gets increased and a few times a year this subscription will also increase to keep the value per strategy at around 50€.
→ Upgrade to the Premium Vault and get immediate access to all 18+ strategies.
Algomatic Trading was built around a simple belief:
Trading becomes more robust and consistent when decisions are rule-based, diversified and systematic.
Not dependent on opinions.
Not dependent on prediction.
Not dependent on emotions.
Just repeatable edges combined.
The database is still early.
But it’s growing into exactly what I originally wanted to build:
A complete systematic trading research library focused on practical, tradable strategies.
Thanks for reading, supporting and building this project with me.
— Algomatic Trading
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