aipricepatterns
aipricepatterns
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Enhancing RL Trading Bots with WebSockets: Real-Time Strategy Updates
In this video, I dive into the integration of WebSockets with Reinforcement Learning (RL) agents for trading. Learn how real-time data exchange and instant feedback can significantly improve the performance of your trading bots. I cover the setup process, benefits, and practical implementation of WebSockets to create adaptive and responsive trading strategies. Whether you're a developer or a trading enthusiast, this guide will provide valuable insights into the future of automated trading.
มุมมอง: 206

วีดีโอ

The Impact of Alpha on Agent Training in Reinforcement Learning
มุมมอง 180หลายเดือนก่อน
In this video, we dive into the critical role of the learning rate, often denoted as alpha (α), in reinforcement learning. Alpha is a hyperparameter that directly influences an agent's ability to adapt and learn from new experiences. We'll explore how different alpha values affect Q-table updates, demonstrating the effects through practical examples with high and low alpha values. Additionally,...
Efficiently Managing Trading Bot Actions: If-Else vs. Switch case vs. Dictionary
มุมมอง 94หลายเดือนก่อน
In this video, we delve into three different approaches to managing actions in trading bots: using if-else statements, switch case statements, and dictionaries. Discover the advantages and disadvantages of each method and learn why using a dictionary might be the most efficient solution for your trading algorithms. Whether you're a seasoned developer or new to coding trading bots, this video wi...
Market Analysis Using Reinforcement Learning Agents: Building a Financial Forecasting Startup
มุมมอง 220หลายเดือนก่อน
In this video, I'll walk you through the development process of our innovative startup that leverages reinforcement learning to predict market movements.
Creating a Trading Strategy Testing Environment: Open-Source Project Overview
มุมมอง 3865 หลายเดือนก่อน
Welcome to our Latest TH-cam Video! 📺 In this session, we delve into the intricacies of creating a comprehensive trading strategy testing environment. 📈 Join us as we explore our open-source project aimed at providing traders with a robust platform for testing their strategies effectively. 💻 From dissecting the code to outlining our future plans, we cover it all. 🌟 Whether you're a seasoned tra...
Revamping aipricepatterns.com: From Crypto Forecasting to Social Trading Platform
มุมมอง 1165 หลายเดือนก่อน
Description: Join us in this video as we unveil the exciting transformation of aipricepatterns.com! Formerly a cryptocurrency platform leveraging neural networks for price forecasting, we've now evolved into a dynamic social trading hub akin to Twitter. Explore how users can share and discuss trading strategies while harnessing the power of AI from our previous project. Additionally, we'll delv...
Memory Boost: Enhancing Trading Insights with Triple-Barriers in Reinforcement Learning
มุมมอง 2435 หลายเดือนก่อน
Embark on a journey to optimize memory utilization in reinforcement learning for trading with our insightful video on the "label_triple_barrier" method. Unleash the potential of this strategy to pre-label data points, significantly accelerating the agent's learning process. Dive into the nuances of triple-barrier dynamics, exploring how it enhances the memory capacity of reinforcement learning ...
Exploring Advanced Neural Network Architectures for Reinforcement Learning Algorithms
มุมมอง 3876 หลายเดือนก่อน
In this video, we delve into the world of advanced neural network architectures tailored for reinforcement learning algorithms. Reinforcement learning, a key paradigm in artificial intelligence, benefits greatly from sophisticated model structures. We explore and discuss various architectures, ranging from attention mechanisms and convolutional layers to recurrent networks. 🔍 Topics Covered: Co...
Building Scalable Reinforcement Learning Applications with RAY Framework and Python
มุมมอง 5526 หลายเดือนก่อน
Description: 🚀 Dive into the world of scalable Reinforcement Learning (RL) as we explore the power of the RAY framework and Python in this comprehensive tutorial! 🤖💡 🔗 In this video, we guide you through the process of building and scaling RL applications using RAY, a powerful open-source framework for distributed computing. Learn how to efficiently train your RL agent across multiple episodes ...
Exploring Multi-Processor Reinforcement Learning for AI Development
มุมมอง 5837 หลายเดือนก่อน
Description: 🚀 Welcome to my channel! In today's video, I'll take you behind the scenes of developing a reinforcement learning agent on a multi-processor architecture. This isn't just another tutorial; it's a deep dive into the realm of parallel learning and accelerated artificial intelligence development. 🔍 What you'll discover: Fundamentals of reinforcement learning agents. 🔄 Advantages of m...
Building a Trading Strategy Using Autoencoder-Generated Features
มุมมอง 4897 หลายเดือนก่อน
In this video, I demonstrate how to leverage the power of autoencoders to create meaningful features for a trading strategy. I walk you through the implementation of an autoencoder model using Convolutional Neural Networks (CNNs) in Python, specifically tailored for generating features from financial time series data. 🔍 What's Covered: Introduction to Autoencoders and their role in feature extr...
Unlocking Deep Learning Insights: Feature Importance Analysis for Agent Training
มุมมอง 5147 หลายเดือนก่อน
Video Description: In this video, I delve into the powerful technique of feature importance analysis using deep learning. I demonstrate how to extract crucial insights into the inner workings of neural networks by visualizing activations and determining feature importance. The showcased code employs activation visualization to understand neuron behavior and gradient analysis to extract vital fe...
Mastering Bitcoin Trading with Reinforcement Learning: Unveiling the Neural Network Wizardry!
มุมมอง 9468 หลายเดือนก่อน
🚀 Dive into the world of cryptocurrency trading like never before! In this exclusive tutorial, I reveal the secrets behind my successful Bitcoin trading agent powered by Reinforcement Learning (RL). 🌐 🔥 Witness the incredible results of extensive backtesting and learn the art of training a formidable RL agent to navigate the volatile waters of the Bitcoin market. But that's not all - discover t...
Building a Cryptocurrency Trading Reinforcement Learning Framework: Progress, Challenges, and Plans
มุมมอง 1.7K8 หลายเดือนก่อน
Welcome to my channel! In this video, I share the behind-the-scenes journey of developing a Reinforcement Learning framework tailored for cryptocurrency trading agents. Join me as I discuss the progress I've made, the hurdles I've encountered, and the solutions I'm exploring to ensure the seamless operation of RL agents in the volatile crypto market. 🚀 Key Points: Progress Update: Explore the l...
Enhancing Bitcoin Trading Strategies with Reinforcement Learning: Boosting Your Trade Profit Margin
มุมมอง 2129 หลายเดือนก่อน
Enhancing Bitcoin Trading Strategies with Reinforcement Learning: Boosting Your Trade Profit Margin
📈 Reinforcement Learning for Trading: Enhancing Entry and Exit Strategies📉
มุมมอง 6229 หลายเดือนก่อน
📈 Reinforcement Learning for Trading: Enhancing Entry and Exit Strategies📉
"Unlocking the Power of RL: Training a Bitcoin Trading Agent using Gymnasium & Stable Baselines3
มุมมอง 5009 หลายเดือนก่อน
"Unlocking the Power of RL: Training a Bitcoin Trading Agent using Gymnasium & Stable Baselines3
📈 Building an Environment for RL Agents: Harnessing Fundamental Trading Concepts 🤖
มุมมอง 8419 หลายเดือนก่อน
📈 Building an Environment for RL Agents: Harnessing Fundamental Trading Concepts 🤖
Creating and Debugging My Custom Trading Environment with DQN and A2C Methods
มุมมอง 25610 หลายเดือนก่อน
Creating and Debugging My Custom Trading Environment with DQN and A2C Methods
Challenges and Secrets: Building a Successful Algorithmic Trading Strategy
มุมมอง 24810 หลายเดือนก่อน
Challenges and Secrets: Building a Successful Algorithmic Trading Strategy
Innovative Project Showcase: Chat Bot Service with ChatGPT and Langchain
มุมมอง 10010 หลายเดือนก่อน
Innovative Project Showcase: Chat Bot Service with ChatGPT and Langchain
Creating a Reinforcement Learning Environment for Trading Strategies in Gymnasium
มุมมอง 1.6K10 หลายเดือนก่อน
Creating a Reinforcement Learning Environment for Trading Strategies in Gymnasium
Revolutionize Conversations with LangChain: Empowering Chatbots with Your Knowledge
มุมมอง 9310 หลายเดือนก่อน
Revolutionize Conversations with LangChain: Empowering Chatbots with Your Knowledge
When Technical Analysis Goes Wild: The Random Walk Experiment 📈🤪
มุมมอง 22910 หลายเดือนก่อน
When Technical Analysis Goes Wild: The Random Walk Experiment 📈🤪
Optimizing Time Horizon and Actions for Reinforcement Learning in Trading Strategies
มุมมอง 20610 หลายเดือนก่อน
Optimizing Time Horizon and Actions for Reinforcement Learning in Trading Strategies
Introduction to Reinforcement Learning: Python Code and Examples
มุมมอง 36910 หลายเดือนก่อน
Introduction to Reinforcement Learning: Python Code and Examples
Reinforcement Learning for Trading: Solving Trading Problems with Crossentropy in Python
มุมมอง 2.8K10 หลายเดือนก่อน
Reinforcement Learning for Trading: Solving Trading Problems with Crossentropy in Python
Unlocking Optimization Power: Exploring the Cross-Entropy Method in Reinforcement Learning
มุมมอง 60711 หลายเดือนก่อน
Unlocking Optimization Power: Exploring the Cross-Entropy Method in Reinforcement Learning
Anomalous Cryptocurrency Wallet Activity: Brace Yourself for Market Momentum #shorts
มุมมอง 135ปีที่แล้ว
Anomalous Cryptocurrency Wallet Activity: Brace Yourself for Market Momentum #shorts
"Cluster Analysis for Cryptocurrencies Using Autoencoders as Features for Trading Strategies"
มุมมอง 394ปีที่แล้ว
"Cluster Analysis for Cryptocurrencies Using Autoencoders as Features for Trading Strategies"

ความคิดเห็น

  • @Daniel-ve8oi
    @Daniel-ve8oi 20 ชั่วโมงที่ผ่านมา

    Why do charts and random walks look so alike? It's because the are created by very similar processes. To me, studying random walks led me to great discoveries, discoveries that helped me to classify trends, reversals and ranging markets easily. It all started with analyzing the wick-building process on tick data. First, you'll find that the ratios of Japanese candlesticks are on average identical to the ratios in random walk candlesticks. Then, you'll find that the wick associated with the close taked on average 1/4th of the candlestick's lifetime. Analyze the absolute price change of the candlestick (close minus open) and the last 1/4th of the lifetime together, and you'll be able to classify the market. You'll end up with a structure not only telling you the direction of the current market, but that will also give you a measure for the current risk of trading.

  • @user-zq1hd6rb7z
    @user-zq1hd6rb7z 5 วันที่ผ่านมา

    I'm sorry I feel this is too hard to follow, but I want to thank you for boosting my confidence. I disliked my recorded voice and deemed it unpresentable, but ironically, you have a similar soundbox there and now I believe it is not too bad. Rather quite presentable hahaha

  • @c0o0o0
    @c0o0o0 15 วันที่ผ่านมา

    Да вроде нормально все слышно, хз что все жалуются

  • @stanlymedjo3338
    @stanlymedjo3338 28 วันที่ผ่านมา

    Please could you recommend me some books for getting started with algo trading ?🙏

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland หลายเดือนก่อน

  • @sinajooonz
    @sinajooonz หลายเดือนก่อน

    hi ... its very good .. thanks for sharing your results ... im working on trading bot and now we are optimising the process but its very helpfull and delightfull if you might want to join our group .

    • @aipricepatterns9707
      @aipricepatterns9707 หลายเดือนก่อน

      I'm currently busy with projects and have no free time. But if you want, you can write me an email, we will be in touch. Or it would be interesting to exchange a few lines about ideas for AI agents. sott095@gmail.com Serhii

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland หลายเดือนก่อน

    🤗🤗🤗

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland หลายเดือนก่อน

    😋😋😋

  • @TTB-to9yk
    @TTB-to9yk หลายเดือนก่อน

    good work

  • @petrovicoliveira6561
    @petrovicoliveira6561 หลายเดือนก่อน

    nice

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland หลายเดือนก่อน

    🤗🤗🤗

  • @daveanderson8348
    @daveanderson8348 หลายเดือนก่อน

    That will definitely be a B.S. startup! It has been proven so many times that the market is largely a random walk and therefore predicting or forecasting it is a lie with which people want to convince others that it is possible and that they want to make money with it. Stay far far away from this old illusion/lie.

    • @aipricepatterns9707
      @aipricepatterns9707 หลายเดือนก่อน

      I agree that it is very difficult. I just like doing it. Develop AI in finance. For some reason I don’t like using AI, for example, in predicting the migration of geese :)))

  • @siminesfshani8668
    @siminesfshani8668 2 หลายเดือนก่อน

    Thank you for your great video. can this approach be used for image segmentation models to see which channel is important in our images?

  • @petrovicoliveira6561
    @petrovicoliveira6561 2 หลายเดือนก่อน

    nice

  • @maraconsida
    @maraconsida 2 หลายเดือนก่อน

    Do you have the repo for this code? I couldn't find you on GitHub

  • @0201alex
    @0201alex 2 หลายเดือนก่อน

    Can you share the code with us? I am having trouble with tensorflow and keras not working.

  • @joeylyons8473
    @joeylyons8473 3 หลายเดือนก่อน

    Promo>SM

  • @HosseinrezaGholami
    @HosseinrezaGholami 3 หลายเดือนก่อน

    thank you for sharing this idea. is there a way to access the codes in this tutorial?

  • @kcong3806
    @kcong3806 4 หลายเดือนก่อน

    if you use normalized date, the model will have feed forward bias ?

  • @user-vm2ih2jd2c
    @user-vm2ih2jd2c 4 หลายเดือนก่อน

    how can I join your open-source project?

  • @user-vm2ih2jd2c
    @user-vm2ih2jd2c 4 หลายเดือนก่อน

    can you share the code?

  • @epo295
    @epo295 5 หลายเดือนก่อน

    Your videos (except the audio quality 😅) are amazing. For me personally your stuff are a bit advanced, but I am always checking them out. I understand that you have generated a series of signals. Can you also make a video, visualizing those signals on a chart so we can kinda make sense of the strategy? Also, wouldn't be amazing if we could plot our trading singals on a tradingview chart? Those python generated charts are so ugly... Too bad its not possible with Python to make an intergration or something with tradingview's lightweight charts.

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland 5 หลายเดือนก่อน

    🤩🤩🤩

  • @hariiharii9639
    @hariiharii9639 5 หลายเดือนก่อน

    can you share git hub link bro

  • @hariiharii9639
    @hariiharii9639 5 หลายเดือนก่อน

    can you share git hub link bro

  • @Ypartner
    @Ypartner 5 หลายเดือนก่อน

    Выглядит неплохо, сам пишу стратегии, но предпочитаю меньшие таймфреймы. Максимальная просадка к сожалению не радует, да и пока дождешься на часовике сделку вечность пройдет. Но если стратегию подать нейронке и задать правила награды, то по сути она в разы лучше может обучится.

    • @aipricepatterns9707
      @aipricepatterns9707 5 หลายเดือนก่อน

      попробуй сделать следующее - исключить периоды волатильности. Это супер сложная задача расспознать всплеск цены, из за чего у тебя случается максимальная просадка. Алгоритм должен не работать в периоды новостей и так далее - Ты совершенно прав. Правила награды и штрафов - это самое главное. Попробуй вручную загрузить память агента

  • @MustafaMagdy1
    @MustafaMagdy1 5 หลายเดือนก่อน

    Can you share the code please?

  • @capitola
    @capitola 5 หลายเดือนก่อน

    looks great. I just wish I could understand your english....

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland 6 หลายเดือนก่อน

    😎😎😎

  • @Algotrades1
    @Algotrades1 6 หลายเดือนก่อน

    Are you slavic? Just your accent

  • @Newbie-dv9gc
    @Newbie-dv9gc 6 หลายเดือนก่อน

    My dear friend.I saw your old telegram bot.Can you pls make a video about sentiments analysis & OI graphic like your old project.

    • @aipricepatterns9707
      @aipricepatterns9707 6 หลายเดือนก่อน

      That's a good question. 1. I had a script that monitored Twitter and processed the data. I was trying to understand the market sentiment. 2. I monitored cryptocurrency transactions, or rather their anomalies. 3. I tracked the open interest and recorded it in the database. Then, through machine learning, I did clustering to select cryptocurrencies. Then, using another neural network, I determined the confidence intervals for the movement of the selected cryptocurrencies. In general, I discovered cryptocurrencies where the manipulator was activated and then the market momentum died down, I tried to work on this. It was quite profitable, but when the markets began to grow strongly, this strategy went into a deep negative. This strategy is ideal for a flat or downward market.

    • @Newbie-dv9gc
      @Newbie-dv9gc 6 หลายเดือนก่อน

      If you revisit this topic and create a video, I would appreciate it. @@aipricepatterns9707

  • @gunasekhar8440
    @gunasekhar8440 6 หลายเดือนก่อน

    The github repo is not working

  • @DalazG
    @DalazG 6 หลายเดือนก่อน

    Interesting. Do you plan on making any tutorials on how to make an automated learning model for forex trading? Preferably with mql?

  • @fadysamy883
    @fadysamy883 6 หลายเดือนก่อน

    Hello I want to ask you how you can determine the levels of support and resistance

    • @aipricepatterns9707
      @aipricepatterns9707 6 หลายเดือนก่อน

      you can try using it as a high or low from the last few days. You need to try different time intervals

  • @DalazG
    @DalazG 6 หลายเดือนก่อน

    Is it possible to integrate this into mql4

    • @aipricepatterns9707
      @aipricepatterns9707 6 หลายเดือนก่อน

      Theoretically, this is possible. This algorithm will be available via API for interaction. Therefore, you can read the results of this algorithm through the use of my server.

    • @DalazG
      @DalazG 6 หลายเดือนก่อน

      @aipricepatterns9707 interesting, I'm fairly new to learning machine learning and mql. Would love if you ever decided to do any tutorials on it

  • @ShortToKnow
    @ShortToKnow 6 หลายเดือนก่อน

    Hey Serhii first thank you very much for your Content! I've been following your TH-cam videos and I'm impressed by how well you can explain complex topics in English. I have a custom indicator that I'd like to implement into a DQN machine learning algorithm for trading Forex pairs. I was wondering if you could create a video tutorial on such an example. I look forward to hearing from you. Greetings from Cologne, Germany. Tobias

    • @aipricepatterns9707
      @aipricepatterns9707 6 หลายเดือนก่อน

      Hi, Thank you for watching my channel. I can help you. 1. You need to create an environment and decide on the window that will be analyzed. For example, the last 50 time bars of your indicator. 2. Determine what the agent’s actions will be. Usually I have 5. Open long and close long, open short and close short and do nothing. 3. Train the model and improve it. P.S. I can make a video on how to make this basic structure. If you want, you can write me an email and explain in more detail what you are trying to do.

  • @franky12
    @franky12 6 หลายเดือนก่อน

    I find your channel and your videos very interesting as you cover advanced topics. However, I would like to make the following critical comment: The audio quality is poor in this video, noise can be heard and the speech is very quiet. You generally have a strong accent which does not make it easy to understand you. The unnecessary background music in this video makes it even harder to understand. Please don't be offended, but I would suggest as an improvement: 1. Leave out the music 2. Make sure the audio quality is good and free of interference 3. Strive for clear and distinct pronunciation

    • @aipricepatterns9707
      @aipricepatterns9707 6 หลายเดือนก่อน

      You're right, I'll try to record high-quality videos and voiceovers. I'll try to break the video into small pieces and voice it through prepared dialogues P.S. Thanks for your feedback.

  • @vladyslavkorenyak872
    @vladyslavkorenyak872 6 หลายเดือนก่อน

    Thank you for sharing, my model is leaning nothing and I believe it's because of this. I will try again soon!

    • @aipricepatterns9707
      @aipricepatterns9707 6 หลายเดือนก่อน

      Try experimenting with technical indicators as input

    • @vladyslavkorenyak872
      @vladyslavkorenyak872 6 หลายเดือนก่อน

      @@aipricepatterns9707 do you mean to include variables like explained_variance, loss... in the observation or just use this info to evaluate if the training is going well?

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland 6 หลายเดือนก่อน

    😯😯😯unglaublich!!!!

  • @user-pk7br9uu5h
    @user-pk7br9uu5h 6 หลายเดือนก่อน

    create more video like this

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland 6 หลายเดือนก่อน

    😎😎😎

  • @Madmaxlive23
    @Madmaxlive23 7 หลายเดือนก่อน

    can we make a model with our trading-view indicators combinations

    • @aipricepatterns9707
      @aipricepatterns9707 7 หลายเดือนก่อน

      Tell me in more detail what you would like to receive.

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland 7 หลายเดือนก่อน

    😎😎😎

  • @jaipalv562
    @jaipalv562 7 หลายเดือนก่อน

    Hi ..do you trade options using reinforcement ..can you please make video on the same?

    • @aipricepatterns9707
      @aipricepatterns9707 7 หลายเดือนก่อน

      Hello. I can do this if find data on options. I need historical data. For example, each episode that can be fed to the agent can be data on the expiration of options within a month. Such data batches can be fed to the agent

    • @jaipalv562
      @jaipalv562 7 หลายเดือนก่อน

      @@aipricepatterns9707 : can I give you dataset location ?

  • @nataliescovermusicswitzerland
    @nataliescovermusicswitzerland 7 หลายเดือนก่อน

    Unglaublich!😇

  • @doublespender5251
    @doublespender5251 7 หลายเดือนก่อน

    i like your videos, thanks for eveything

  • @doublespender5251
    @doublespender5251 7 หลายเดือนก่อน

    Do you have some academic papers or books to recommend on the topic of reinforcement learning in trading ?

    • @aipricepatterns9707
      @aipricepatterns9707 7 หลายเดือนก่อน

      I would advise you to try to write the simplest version of the agent from scratch. Then start researching the problem as the agent teaches, so you can understand it deeply. Books and articles can be anything. But the most important thing is for you to try to write something yourself and try to improve it

  • @doublespender5251
    @doublespender5251 7 หลายเดือนก่อน

    I love what you're doing, do you have any videos to recommend or resources on how to create a dashboard interface like this? (sorry i spoke french earlier)

    • @aipricepatterns9707
      @aipricepatterns9707 7 หลายเดือนก่อน

      Thank you Try using this library: plotly.com/javascript/ Try asking the GPT chat to write a dashboard using plotly library, then you can configure it It's very simple.

  • @doublespender5251
    @doublespender5251 7 หลายเดือนก่อน

    J'adore ce que tu fais, est ce que tu as des vidéos à recommander ou ressources sur comment créer une interface dashboard comme cela ?

  • @user-fx9xp4vr4m
    @user-fx9xp4vr4m 7 หลายเดือนก่อน

    Спсибо. всё доступно объясняешь.