Hello everyone!
My name is Cristian Mihail Păuna.
I am an engineer, economist, and
doctor in economic informatics.
This is my work. Enjoy it!
Pay attention, please !!!
This site is NOT providing financial services, financial consultancy, banking services, or brokerage services.
This is a mathematics and software author site. This site provides mathematical algorithms, trading software, and useful ideas and tools to build a stable trading activity assisted by artificial intelligence software. The author of these algorithms is not offering himself to do something in place of a trader or an investor. He is not offering and delivering financial services and consultancy (as the law clearly defines all these terms), and he will not answer any questions and requests asking for services related to financial services.
The software included in this site is specialized artificial intelligence trading software. Any trader or investor can include these programs in the brokerage informatics system offered by a regulated brokerage company to become a part of the trading activity or to help the investment decisions. The trading software analyzes the data included in the hosting brokerage informatics system and estimates the probability of a price increase using different advanced mathematical algorithms. The brokerage company has the responsibility for the market data. The trading software is using these data, and it is not making decisions in place of the trader. These programs generate trading signals for the trader, signals that can be transformed into market orders only if the trader wants, with his will, risk, and responsibility. The brokerage informatic system can convert the trading signals and generates and sends the market orders to buy and sell on different markets, and only if the trader allows and agrees with this action to make a profit.
The trader installs the trading software in the brokerage informatics system, with his explicit will, after testing the software using data simulators, strategy test programs, or demo accounts, all offered by the brokerage company. The brokerage informatics system can also automate the trading activity at the trader's will. In this context, the trading software or the brokerage trading platform can be started and stopped by the trader anytime, at his will, based on the obtained results. Besides, the trading software is not managing a portfolio. This is an activity made by each trader or investor when deciding to participate or not in a specific market. Moreover, the trading software is not managing the trader's capital or risk level. Trading software can be set to generate signals in many particular ways at the trader's will, and the trader sets the trading volume after he establishes the risk level he wants to allocate in his capital account. After that, he must follow the results and make decisions accordingly.
Financial trading and investment involve the risk of losing money. Using trading software is not excluding or reduce this risk, by the contrary. The trader or the investor is the one who makes a risk and capital management strategy, the one who implements this strategy in his capital account, and the only one who can follow if the results are according to his plan. Trading software does not guarantee a profit, and past performance does not guarantee future performance or profit. The risk level set by the user in his account means he will lose that money if the market evolves differently or unprecedentedly. Anyone must find that trading software includes a mathematical algorithm optimized with the market data for a specified period. If the financial markets evolve differently or unprecedentedly, a trading signal generated in these conditions can conduct a losing trade. Also, a loss can often appear if the market changes the price behavior after a trade is opened. The author of the mathematical algorithms and trading software included in this site can not be held responsible for any losses.
Dow Jones Predictor is my best trading software thinking about profitability and capital efficiency. It has a 1:10 risk-to-reward ratio, and it makes a large number of trades for the Dow Jones Industrial Agerave Index. This unique algorithm includes 30 classical trading strategies based on Price Cyclicality and Relative Cyclicality, and it was initially written by me in April 1998 on an open-source server. In 2010 it was adapted for the MT4 trading platform, and in 2022 it was converted and improved for MetaTrader 5. The last version functionality is finally totally according to the backtest results, which is fantastic! Starting with October 2022, Dow Jones Predictor is available for any investor on MQL5.com market. It can be tested for FREE by anyone before purchase. Enjoy it!
Gold Predictor is the best gold trading software I ever tested on the software market. It has a 1:8 risk-to-reward ratio, and it trades the spot price of gold with a very low drawdown. This stable algorithm includes 18 classical trading strategies based on Relative Cyclicality, and it was initially written by me in February 2002 on an open-source server. In 2010 it was adapted for the MT4 trading platform, and in 2022 it was converted and significantly improved for MetaTrader 5. Based on the MT5 unique capabilities, the last version functionality is finally totally according to the backtest results! Starting with November 2022, Gold Predictor is available for any investor on MQL5.com trading software market. It can be tested for FREE by anyone before purchase. Enjoy it!
Nasdaq Retractor became my best seller trading software in May 2023. It already has more users than the old SuperCont, and it is very appreciated for the accuracy of the open trades. This great trading algorithm was written by me in May 2011 for MetaTrader 4 platform. Due to important and negative differences between the backtest and real trading results that appeared after February 2022 for the MT4 version, I converted and reoptimized it for MetaTrader 5 in April 2022. The MT5 version functionality is completely according to the backtest results and makes accurate trades almost every day. Starting with November 2022, Nasdaq Retractor is available for any investor on MQL5.com. It can be tested for FREE by anyone before purchase. Enjoy it!
DAX Retractor is the most stable trading software of mine. It has a 1:8 risk-to-reward ratio, and it trades Deutscher Aktienindex with a low exposure. This algorithm includes 16 classical trading strategies based on the Relative Cyclicality. This program was initially written in May 2011 for MT4. Due to important and negative differences between the backtest and real trading results that appeared after February 2022 for the MT4 version, I converted and reoptimized it for MetaTrader 5 in April 2022. The MT5 version functionality is totally according to the backtest results and makes very stable trades. Starting with November 2022, DAX Retractor is available for any investor on MQL5.com market. It can be tested for FREE by anyone before purchase. Enjoy it!
Mystery Signal is a reliable trading signal based on pure price action and filtered with Relative Momentum and Relative Cyclicality. If you love simple charts, Mystery Signal is fitting your needs and it is providing efficient entries for any market and any timeframe. Confirmed by the Order Blocks, it is giving us good leverage.
Smoothed Relative Momentum together with Relative Cyclicality, and Order Blocks
define reliable and accurate trading signals in any market, especially in a daily timeframe.
The Relative Cyclicality indicator defines the cycles of any price evolution. It is computed by applying the "Cyclicality" mathematical transformation to the Relative Strength Index indicator made by J. Welles Wilder. Relative Cyclicality generates very good entry and exit trading signals near the minimal and maximal points. It is better than RSI itself due to its derivability and the unicity of the extreme points on a specific interval. The Relative Cyclicality defines the ascending and descending price intervals with very high accuracy between the extreme points. The Relative Cyclicality is the most efficient indicator I have ever made, and it will likely remain the most used indicator in my activity for a long time. It is simple, universal, and profitable. Enjoy it!
The Adaptive Cyclicality indicator is another method to define the cycles of any price evolution. This indicator is computed by applying the "Cyclicality" mathematical transformation to the Adaptive Moving Average function introduced by Perry J. Kaufmann. The Adaptive Cyclicality defines very good entry and exit trading signals near the minimal and maximal points and adapts the indicator's amplitude depending on the current price action. It is a very accurate indicator that can be used on any market and any timeframe for stable investents.
Heikin Ashi means "average bar" in Japanese. The Heikin-Ashi mathematical transformation is well known and used for hundreds of years to spot market trends and to predict future price evolution. The Relative Strength Index is also well known for its very good prediction power. By combining the two techniques into one indicator we can obtain a more precise indication about the price direction and very accurate entry and exit trading signals. Moreover, the Smoothed Heikin-Ashi filtered with any of the Cyclicality indicators will generate unique signals with very low capital drawdown for any market. Anyone can use it for FREE! Enjoy it!
Smoothed Heikin Ashi is transforming the Heikin-Ashi price distribution into a continuous and derivable function which is giving us more accurate indications about the price movement. Applying the Relative Strength Index to this unique price transform will generate a very accurate indicator that can be used to automate the buying and selling trading signals. The Relative Smoothed Heikin-Ashi filtered with Relative Cyclicality indicator generate fantastic signals with very low drawdown for any market. Anyone can use it for FREE! Enjoy it!
The Order Blocks indicator shows the high-probability price zones for large orders of financial institutions on any market. The Order Blocks indicator gives us positive expectancy combined with trend accurate indicators like Price Cyclicality or Relative Cyclicality. The Order Blocks indicator filtered with any of the Cyclicality indicators generates fantastic entry signals with a very low drawdown. Anyone can use it for FREE! Enjoy it!
RISK AND CAPITAL MANAGEMENT USING EXPERT ADVISORS
This paper is about what you can not see in a backtest report, what you should expect using automated trading software, how to manage your money if you are using expert advisors, and how to cover a significant loss to remain in the trading activity when you are using automated procedures. In short, how to invest using expert advisors? This is the first article to read if you decide to use automated software to make money.
Utilities under MT5 designed for
capital and risk management
Academic papers I have published in my PhD activity. Research theme: Modern Methodologies for Business Intelligence Systems Design. Real-Time Automated Trading Systems for Stock Exchange. Economic Informatics Doctoral School. Academy of Economic Studies. Bucharest, Romania. (01.10.2017 | doctorat.ase.ro)
All my researches and published papers are indexed by Google Scholar and can be found on Research Gate.
✔Volume Cyclicality. Reliable Capital Investment Signals Based on Trading Volume Information.
Păuna, C. (2019). Timișoara, Romania: Timișoara Journal of Economics and Business.
Volume 13, Issue 1/2020. ISSN: 2286-0991. West University of Timisoara.
DOI: 10.2478/tjeb-2020-0003 Available at: tjeb.ro
✔Price Probability Predictor. Capital investments assisted by a probability field.
Păuna, C. (2020). Bucharest, Romania: International Conference on Business Excellence ICBE2020.
Published by Springer in Business Revolution in a Digital Era as part of the Springer Proceedings in
Business and Economics book series. Păuna C. (2021) Price Probability Predictor. Capital
Investments Assisted by a Probability Field. In: Dima A.M., D'Ascenzo F. (eds) Business Revolution in a Digital
Era. Springer Proceedings in Business and Economics. Springer, Cham. DOI: 10.1007/978-3-030-59972-0_21
✔Informatics methods to include limit conditions into automated capital investment software systems.
Păuna, C., Lungu, I. (2020). Bucharest, Romania. IE2020 19th International Conference on Economic
Informatics. Academy of Economic Studies. DOI: 10.12948/ie2020.04.01 Available at: conferenceie.ase.ro
✔Behavioral patterns and fears in investor psychology.
Păuna, C. (2020). Bucharest, Romania. DOI: 10.13140/RG.2.2.29367.47521 Available at: researchgate.net
✔Tipare comportamentale și frici în psihologia investitorului.
Păuna, C. (2020). Bucharest, Romania. DOI: 10.13140/RG.2.2.33742.82241 Available at: researchgate.net
✔The psychology of using algorithms to automate decisions in financial information systems.
(Psihologia folosirii algoritmilor pentru automatizarea deciziilor în sistemele informaționale financiare.)
Păuna, C. (2020). Bucharest, Romania. DOI: 10.13140/RG.2.2.19901.61928 Available at: researchgate.net
✔Reliable Signals and Limit Conditions using Trigonometric Interpolation for Algorithmic Capital Investments.
Păuna, C. (2020). Alicante, Spain: 7th Business Systems Laboratory International
Symposium 2020. University of Alicante. Available at: bslab-symposium.net
✔Logarithmic Risk Distribution to build a stable capital growth for any business or investment.
Păuna, C. (2019). Bucharest, Romania: 13th International Management Conference.
Academy of Economic Studies. Available at: conference.management.ase.ro
✔Price Prediction Line. Investment Signals and Limit Conditions Applied for the German Financial Market.
Păuna, C. (2019). International Journal of Computer and Information Engineering.
Vol.13, No.9, 2019. World Academy of Science, Engineering and Technology. Available at: waset.org
Best Paper Award - International Conference on Advances in Information Systems, ICAIS 2019, Rome, Italy.
✔Trading Fragmentation Methodology to Reduce the Capital Exposure with Algorithmic Trading.
Păuna, C. (2019). Bucharest, Romania: Database Systems Journal. Volume X, Issue 2019. ISSN: 2069-3230.
Academy of Economic Studies. Available at: dbjournal.ro
✔Additional Limit Conditions for Breakout Trading Strategies.
Păuna, C. (2019). Bucharest, Romania: Informatica Economica Journal. Volume 23, Issue 2/2019. ISSN: 1453-1305.
Academy of Economic Studies. DOI: 10.12948/issn14531305/23.2.2019.03 Available at: revistaie.ase.ro
✔Silent Market Indicator. Methodology to Avoid the Risk in No Significant Price Movements.
Păuna, C. (2019). Timișoara, Romania: Timișoara Journal of Economics and Business.
Volume 12, Issue 1/2019. ISSN: 2286-0991. West University of Timisoara.
DOI: 10.2478/tjeb-2018-0009 Available at: tjeb.ro
✔Progressive Management Methodology for Real-Time Business Intelligence Decision Systems.
Păuna, C. (2019). Bucharest, Romania: 18th International Conference on Informatics in
Economy IE2019 by Bucharest University of Economic Studies, Available at: conferenceie.ase.ro.org
✔A Prediction Model Using the Price Cyclicality Function
Optimized for Algorithmic Trading in Financial Markets.
Păuna, C. (2019). International Journal of Computer and Information Engineering
Vol.13, No.4, 2019. World Academy of Science, Engineering and Technology. Paper Presented at International
Conference on Intelligent Information Systems ICIIS 2019, Athens, Grece. Available at: waset.org
Best Paper Award - International Conference on Intelligent Information Systems, ICIIS 2019, Athens, Greece.
✔Data Mining Methods on Time Price Series for Algorithmic Trading Systems.
Păuna, C. (2019). Bucharest, Romania: Informatica Economica Journal. Volume 23, Issue 1/2019. ISSN: 1453-1305.
Academy of Economic Studies DOI: 10.12948/issn14531305/23.1.2019.03 Available at: revistaie.ase.ro
✔Low risk trading algorithm based on the price cyclicality function for capital markets.
Păuna, C. (2019). Bucharest, Romania: The 13th International Conference On Business Excellence ICBE 2019
Faculty of Business Administration, Bucharest Academy of Economic Studies. Society on Business
Excellence. DOI: 10.2478/mmcks-2019-0006 Available at: bizexcellence.ro
This paper was awarded with "Management and Marketing Award - Challenges for the Knowledge Society".
✔Reliable Signals Based on Fisher Transform for Algorithmic Trading.
Păuna, C. (2019). Timișoara, Romania: Timișoara Journal of Economics and Business. Volume 11, Issue 1/2018. ISSN:
2286-0991. West University of Timisoara. DOI: 10.2478/tjeb-2018-0006 Available at: tjeb.ro
✔Reliable Signals and Limit Conditions for Automated Trading Systems.
Păuna, C. (2018). Iași, Romania: Review of Economic and Business Studies. Volume XI, Issue 2/2018. ISSN: 1843–763X.
Alexandru Ioan Cuza University Press. DOI: 10.1515/rebs-2018-0070 Available at: rebs.feaa.uaic.ro
✔Price Cyclicality Model for Financial Markets. Reliable Limit Conditions for Algorithmic Trading.
Păuna, C., Lungu. I. (2018). Bucharest, Romania: Economic Computation and Economic Cybernetics
Studies and Research Journal. Volume 52, Issue 4/2018. ISSN: 1842–3264. Academy of Economic Studies.
DOI: 10.24818/18423264/52.4.18.10 Available at: ecocyb.ase.ro
✔Smoothed Heikin-Ashi Algorithms Optimised for Automated Trading Systems.
Păuna, C. (2018). Graz, Austria: Proceeding of the 2nd International Scientific Conference on IT, Tourism, Economics,
Management and Agriculture, ITEMA 2018, Nov. 2018, Graz University of Technology.
Published by International Journal of Economics and Management Systems, Volume 4, 2019, ISSN: 2367-8925.
Available at: iaras.org
✔The Quality Trading Coefficient. General Formula to Qualify a Trade and a Trading Methodology.
Păuna, C. (2018). Bucharest, Romania: Informatica Economica Journal. Volume 22, Issue 3/2018.
ISSN 1453-1305. Academy of Economic Studies. DOI: 10.12948/issn14531305/22.3.2018.09
Available at: revistaie.ase.ro
✔Arbitrage Trading Systems for Cryptocurrencies. Design Principles and Server Architecture.
Păuna, C. (2018). Bucharest, Romania: Informatica Economica Journal. Volume 22, Issue 2/2018.
ISSN: 1453-1305. Academy of Economic Studies. DOI: 10.12948/issn14531305/22.2.2018.04
Available at: revistaie.ase.ro
✔Capital and Risk Management for Automated Trading Systems.
Păuna, C. (2018). Iași, Romania: Proceeding of the 17th International Conference on Informatics in Economy, May 2018, Alexandru
Ioan Cuza University. Available at: conferenceie.ase.ro
✔Automated Trading Software. Design and Integration in Business Intelligence Systems.
Păuna, C. (2018). Bucharest, Romania: Database Systems Journal. Volume IX, Issue 1/2018.
ISSN: 2069-3230. Academy of Economic Studies. Available at: dbjournal.ro
Conference presentations I have attended:
✔International Conference on Business Excellence ICBE2020.
Academy of Economic Studies, Bucharest, Romania, June 2020
Price Probability Predictor. Capital investments assisted by a probability field.
✔19th International Conference on Economic Informatics.
Academy of Economic Studies, Bucharest, Romania, May 2020
Informatics methods to include limit conditions into automated capital investment software systems.
✔7th Business Systems Laboratory International Symposium 2020.
University of Alicante, Alicante, Spain, January 2020
Reliable Signals and Limit Conditions using Trigonometric Interpolation for Algorithmic Capital Investments.
✔13th International Management Conference. IMC 2019.
Academy of Economic Studies, Bucharest, Romania, November 2019
Logarithmic Risk Distribution to build a stable capital growth for any business or investment.
✔International Conference on Advances in Informatin Systems. ICAIS 2019.
World Academy of Science, Engineering andTechnology, Rome, Italy, September 2019
Price Prediction Line. Investment signals and limit conditions applied for the German financial market.
Best Paper Award - International Conference on Advances in Information Systems, ICAIS 2019, Rome, Italy.
✔18th International Conference on Informatics in Economy. ICIE 2019.
Academy of Economic Studies, Bucharest, Romania, May 2019
Progressive Management Methodology for Real-Time Business Intellignece Decision Systems.
✔10th International Conference on on Intelligent Information Systems. ICIIS 2019.
World Academy of Science, Engineering andTechnology, Athens, Grece, April 2019
A prediction model using the price cyclicality function optimized for algorithmic trading in financial markets.
Best Paper Award - International Conference on Intelligent Information Systems, ICIIS 2019, Athens, Greece.
✔13th International Conference on Business Excellence. ICBE 2019.
Faculty of Business Administreation, ASE, Bucharest, Romania, March 2019
Low-risk trading algorithm based on the price cyclicality function for capital markets.
Management and Marketing Award - Challenges for the Knowledge Society, ICBE 2019, Bucharest, Romania.
✔2nd International Conference on IT, Tourism, Economy, Management and Agriculture. ITEMA 2018.
Graz University of Technology, Graz, Austria, November 2018
Smoothed Heikin-Ashi Algorithms Optimized for Automated Trading Systems.
✔17th International Conference on Informatics in Economy. ICIE 2018.
Alexandru Ioan Cuza University, Iași, Romania, May 2018
Capital and Risk Management for Automated Trading Systems.
Methods and experimental findings:
✔WaitOnSignal model to increase capital efficiency. Method and Experimental Findings.
Published on ResearchGate in August 2018. DOI: 10.13140/RG.2.2.34582.45122
✔How to measure Investment Risk Aversion. Method and experimental Findings.
Published on ResearchGate in October 2018. DOI: 10.13140/RG.2.2.34819.86566
Papers I have published at Romanian Academy when I was student.
✔Determining the stiffness of the pressed assemblies.
Păuna, C., Stanciu, Șt. (1994). București, România, Academia Română: Studii și Cercetări de Mecanică Aplicată, Volum 6, Tom 53, Nov-Dec. 1994,
p. 613-624 (acad.ro) Available at: researchgate.net
✔Analysis of the functional characteristics of hydrostatic bearing nut screw type systems
Păuna, C., Stanciu, Șt. (1994). București, România, Academia Română: Studii și Cercetări de Mecanică
Aplicată, Volum 4, Tom 53, Jul-Aug. 1994, p. 357-365 (acad.ro) Available at: researchgate.net
✔Calculation and Influence of Geometric and Load Parameters
on Functional Characteristics of Hydrostatic Radial Bearings
Păuna, C., Stanciu, Șt., Suciu, C. (1994). București, România,
Academia Română: Studii și Cercetări de Mecanică Aplicată, Volum 3, Tom 53, Mai-Jun. 1994, p. 243-263
(acad.ro) Available at: researchgate.net
✔Mechanic Transmissions Tests
Păuna, C., Stanciu, Șt., Cicone, T., Cănănău, S., Seiciu, L., Barbu, E. (2001).
Bucharest, Romania: Bren Publishing House, ISBN: 973-8143-40-3.
Available at: researchgate.net
These are my math courses from high school by Prof. Florin Vulpescu-Jalea.
I use them often in my activity. I insert them here for whoever needs.
Math courses 9th and 10th class
Math courses 11th class
Math courses 12th class
These are my physics courses from high school.
I use them often in my activity.
I insert them here for whoever needs.
Physics courses 9th and 10th class
Physics courses 11th and 12th class