Bio
I have been a proprietary trader for over 27 years and a developer of automated strategies for over 13 years for most liquid currency pairs.
Principal driving factor leading to success of my approach is that instead of building individual startegies I have build a high performance computing environment where startegies are developed and validated by Artificial Intelligence using a combination of deep learning and custom made classifiers. This approach allows me to obtain 80 million strategies in any single research run that takes about 72 hours to complete. Out of the plephora of strategies only few pass the prohibitive and rigorous validation proces. Those that pass are than reverse engineered by myslef in order to make sure I understand the decision processes coded in the model. During the last five years all the startegies I have put to work with real funds have been profitable on annual basis.
The trading logic of my strategies is derived from a broad range of non linear natural phenomena (including some concepts of quantum mechanics) rather than classical economics theories.
I have financed my research projects entirely with my own funds coming from my trading profits and I am broadly self efficient however I may consider cooperation with a large professional investor or institution in order to research and deliver custom made Artificial Intelligence solutions using practical application of Support Vector Machine and Hidden Markov Models for prediction of financial instruments price action (medium term horizon - not HFT), to suit particular investor's needs.
I DO NOT OFFER ANY FINANCIAL SERVICES TO THE PUBLIC.
Principal driving factor leading to success of my approach is that instead of building individual startegies I have build a high performance computing environment where startegies are developed and validated by Artificial Intelligence using a combination of deep learning and custom made classifiers. This approach allows me to obtain 80 million strategies in any single research run that takes about 72 hours to complete. Out of the plephora of strategies only few pass the prohibitive and rigorous validation proces. Those that pass are than reverse engineered by myslef in order to make sure I understand the decision processes coded in the model. During the last five years all the startegies I have put to work with real funds have been profitable on annual basis.
The trading logic of my strategies is derived from a broad range of non linear natural phenomena (including some concepts of quantum mechanics) rather than classical economics theories.
I have financed my research projects entirely with my own funds coming from my trading profits and I am broadly self efficient however I may consider cooperation with a large professional investor or institution in order to research and deliver custom made Artificial Intelligence solutions using practical application of Support Vector Machine and Hidden Markov Models for prediction of financial instruments price action (medium term horizon - not HFT), to suit particular investor's needs.
I DO NOT OFFER ANY FINANCIAL SERVICES TO THE PUBLIC.
Style de trading
Fully autonomous, algorithmic
Devise
Graphique
Systems by PiotrPietrzak
Nom | Gain | Drawdown | Pips | Trading | Levier | Type |
---|---|---|---|---|---|---|
ALGO 2 part 2 | 558.59% | 40.10% | 8242.9 | - | - | Réel |
ALGO 1 part 2 | 209.08% | 34.11% | 4027.2 | - | - | Réel |
ALGO 2b | 60.01% | 41.60% | 2885.9 | - | - | Réel |
A1A2A3 Aggressive | 157.56% | 43.51% | 2416.7 | - | - | Réel |
A2A3 | 265.81% | 99.90% | 2277.4 | - | - | Réel |
A2 Conservatiov | 8.20% | 5.90% | 1564.3 | - | - | Réel |
A2 Neutral Public | 186.42% | 37.98% | 1110.2 | - | - | Réel |
RK | 13.61% | 5.00% | 2315.0 | - | - | Réel |
Posts récents
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Feb 18, 2020 at 08:07
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Feb 04, 2020 at 12:19
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Jun 27, 2018 at 08:58
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May 31, 2018 at 10:02
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May 11, 2018 at 08:46