How to Invest
with Penta Trading
What This Page Is — and Is Not
This page explains how our model portfolios are typically implemented in practice.
It is provided for general informational purposes only and does not take into account your personal financial situation. All investment decisions remain entirely your responsibility.
What You get access to
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A 5-stock model portfolio with equal-weight allocation (20 % per stock by design)
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The model portfolio is re-evaluated once per month
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The model is monitored daily. Status changes may occur between monthly updates
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Status updates via email when the model composition changes
Neo-broker We Reccomend
order comission: €1 per trade
depot free
large ETF and stock selection for savings plan
trading places: Lang & Scharwz
order comission: Free trades with Prime
(4,99 €/month, from 250 € volume)
depot free
large ETF and stock selection for savings plan
trading places: Gettex, Xetra
order comission: Free trades (from 500 € volume)
depot free
large ETF and stock selection for savings plan
trading places: Lang & Schwarz, Tradegate, Quotrix
order comission: Free trades (from 500 € volume via Gettex)
depot free
small savings plan offer
trading places: Full market access
order comission
depot
functionality
trading places
Neo-broker variants
€1 per trade
free
large ETF and stock selection for savings plan
Lang & Scharwz
Free trades with Prime
(4,99 €/month, from 250 € volume)
free
large ETF and stock selection for savings plan
Gettex, Xetra
Free trades
(from 500 € volume)
free
large ETF and stock selection for savings plan
Lang & Schwarz, Tradegate, Quotrix
Free trades
(from 500 € volume via Gettex)
free
small savings plan offer
Full market access
A Brokerage Account
In principle, any broker providing access to the relevant markets of the individual products may be used.
However, practical results depend on:
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Complete market access (e.g., direct NYSE access for Penta US vs. European market makers)
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Order execution quality
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Spreads and liquidity
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Transaction fees and custody costs
What You Need
How the Model Is Applied
Monthly Rebalancing
At the beginning of each month, the model portfolio is updated based on predefined quantitative rules. The results are displayed in a summarizing table. The portfolio table reflects:
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Current model composition (stock name and identifier (ISIN))
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Weight per stock in percentage (usually 20%)
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Status: Buy (new stocks) / Hold (already existing stocks)/ Sell (for intra-month exits)
💡 Skip rebalancing if the value difference is under €200 — the fees aren’t worth it.
Example Month
The first trading day of each month serves as the reference day for the model portfolio. The model always regards the close price while intra-day movements are ignored. Thus, portfolio updates can only be determined after market close of the reference day.
Example (January):
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January 2 (or the first trading day thereafter) = reference day based on closing prices
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Morning of the following trading day (before market open) = updated portfolio is published and emailed to subscribers
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Implementation may take place during regular market hours on that day
If an intra-month exit is triggered mid-month:
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January 18 = model detects a sell signal based on the daily closing price
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Morning of January 19 (before market open) = notification is sent
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Implementation may occur during regular market hours on January 19
If no intra-month exit occurs, positions remain in the model until the next monthly rebalancing.
Month’s 5-stock portfolio Example
Stock
sell
Jungeheinrich
DE0006219934
20%
-3,53 %
buy
Commerzbank (n)
DE000CBK1001
20%
0 %
hold
Teamviewer (n)
DE000A2YN900
20%
0 %
hold
Salzgitter
DE0006202005
20%
+7,62 %
buy
Nordex
DE000A0D6554
20%
+14,06 %
ISIN
Status
Share
Performance
Stock name + ISIN — for finding it with your broker
Your Share (%) — always 20% of the total portfolio
Performance — shows how the stock's value has changed since purchase.
Stock Status — shows if a stock is new this month, already held, or should be sold.
Execution & Market Conditions
Model performance is calculated based on closing prices. Closing prices are used because they represent the most widely reported reference prices in financial datasets and allow consistent comparison across historical simulations and live implementation.
Actual execution results may differ due to:
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Bid-ask spreads
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Slippage
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Order type
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Liquidity
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Time of execution
General Risk Notes
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Stock investing involves risk, including the risk of substantial capital losses.
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Model portfolios may underperform benchmarks for extended periods.
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Historical results (including backtests and live performance) do not guarantee future outcomes.
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You should evaluate your financial situation and, if necessary, seek independent professional advice.
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You invest at your own responsibility