Variety of strategies to match your risk profile

(1) Explore a range of investment strategies tailored to your risk profile, from conservative to aggressive.

(2) Algorithmic approach to decision-making, ensuring data-driven control and precision.

(3) Algorithmic Short-Term, Intraday Strategies to take advantage of short price flactuations.

 

HP Based Approach

HP stands for Historical Performance. The decision for the asset position’s direction is based on the yearly performance of the asset/assets traded. For example, if Crude oil price growth this year is -10% but for the past 4 years it has a positive growth, then the direction this year will be long/BUY.

 

SHORT-TERM STRATEGIES

Algobot Prime HP

AlgoBot Prime applies the HP methodology through a high-frequency trading (HFT) approach, seeking to capture profits from short-term intraday price movements. The system increases exposure when market prices decline, which can lead to a temporary drawdown in overall portfolio value.
This Bot is not always buying when prices are falling. It is buying when the market conditions show that buying is favorable. This makes possible to reduce risk.
HP Methodology: We are using Martingale Hybrid InvestingMethod (TI Methodology) that involves buying more quantity when the portfolio is underperforming. However, for each asset the direction of the position can be short (short-selling) depending on the YTD performance of its price, an Historical Performance (HP) approach.
Click to read more about the TI methodology: HERE.

Investment Allocation %

  Strategy – Backtest Methods & Results

◊ The Cost Averaging Factor (CFactor) % Change determines how aggressively investment increases during price declines. Thei higher the CFactor, the more the risk taken. PnL Thresholds (Upside and Downside) % Change act as triggers for portfolio rebalancing, functioning as take-profit and stop-loss levels. The higher they are the less risk taken. Backtesting includes fees such as swaps and commission (estimations). The strategy (3-2) 60-60 is prefered as it keeps a balance approach to risk and results in high returns. A 50% fund utilization requires the strategy (1.5-1) 60-60.
*Past performance is not indicative of future results.
♦ Rebalancing/Trading: 17:00-22:00 EEST Time (Cy Time)
♦ PnL Thresholds: 3% Upside, 2% Downside (Drawdown).
♦ CFactor Change: 60% (x1.6 multiplier).
♦ PnL Threshold % Changes:  60%.
♦ Max Estimated Equity Drawdown 30%.
♦ Initial values (CFactor, PnL Thresholds) reset when reset when positions close with profit.
♦ Use of Leverage, max 4 times the margin required.

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HP Portfolio Partner/Broker Symbols:

PFE.NY, PYPL.N, XOM.NY, AMZN.N, AAPL.N, MSFT.N, USTEC, XTIUSD, BTCUSD, EURUSD
US Momentum Strategy 2025 Details
(*) This strategy is connected to the third-party platform Myfxbook.com, allowing you to analyze, track, and compare our strategies. It enhances credibility by eliminating the possibility of manipulation and provides additional tools to keep you updated on the strategy’s performance. These metrics and graph update once or several times per day, not continuously.* If your are following this strategy, you can check your own investment/trading account at any time for real time updates.*The strategy asset allocation and percentage allocation might change depending on the strategy provider’s assessment of current market status.

US Diverse HP (Moderate Growth Strategy)

US Diverse HP involves investing in a diversified, moderate growth strategy, aiming for a balance between risk and reward.
The strategy involves investing in assets that have steady but not overly aggressive growth potential, providing a mix of capital appreciation and stability.
The commodities allocation enhances inflation resilience, while US indices ensure broad market participation. The presence of crypto and forex introduces risk, but in controlled portions.
HP Methodology: We are using Martingale Hybrid InvestingMethod (TI Methodology) that involves buying more quantity when the portfolio is underperforming. However, for each asset the direction of the position can be short (short-selling) depending on the YTD performance of its price, an Historical Performance (HP) approach.
Click to read more about the TI methodology: HERE.

Investment Allocation %

  US Diverse Strategy – Backtest Methods & Results

◊ The Cost Averaging Factor (CFactor) % Change determines how aggressively investment increases during price declines. Thei higher the CFactor, the more the risk taken. PnL Thresholds (Upside and Downside) % Change act as triggers for portfolio rebalancing, functioning as take-profit and stop-loss levels. The higher they are the less risk taken. Backtesting includes fees such as swaps and commission (estimations). The strategy (5-3) 80-80 is prefered as it keeps a balance approach to risk and results in high returns. A 50% fund utilization requires the strategy (2.5-1.5) 80-80.
*Past performance is not indicative of future results.
♦ Rebalancing/Trading: 10:00-22:00 EEST Time (Cy Time)
♦ PnL Thresholds: 6% Upside, 4% Downside (Drawdown).
♦ CFactor Change: 80% (x1.8 multiplier).
♦ PnL Threshold % Changes:  80%.
♦ Max Estimated Equity Drawdown 30%.
♦ Initial values (CFactor, PnL Thresholds) reset when reset when positions close with profit.
♦ Use of Leverage, max 4 times the margin required.

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HP Portfolio Partner/Broker Symbols:

PFE.NY, PYPL.N, XOM.NY, AMZN.N, AAPL.N, MSFT.N, US500, XTIUSD, XAUUSD, BTCUSD, EURUSD
US Diverse Strategy 2025 Details
(*) This strategy is connected to the third-party platform Myfxbook.com, allowing you to analyze, track, and compare our strategies. It enhances credibility by eliminating the possibility of manipulation and provides additional tools to keep you updated on the strategy’s performance. These metrics and graph update once or several times per day, not continuously.* If your are following this strategy, you can check your own investment/trading account at any time for real time updates.*The strategy asset allocation and percentage allocation might change depending on the strategy provider’s assessment of current market status.

Benchmarking – Key Assets Performance

The choice of benchmark depends on the portfolio’s composition and investment objectives.

YTD Performance
XAUUSD chart by TradingView

ALGODNA (algodna.com) is an algorithmic trading portal operated by investment professionals. It is not a financial institution and does not accept deposits or offer regulated financial services. Instead, ALGODNA collaborates with Investment Firms (IFs) and introducers to develop and manage automated trading strategies. These strategies are controlled by ALGODNA and can be accessed via PAMM or Copy Trading functionalities when investors open real accounts and deposit funds with the respective firms. Trading infrastructure is exclusively provided by our partner firms, while strategy execution remains under ALGODNA’s control.

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