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Show HN: Personalized Crypto Trading Bot With 98% Accuracy(github.com)

300 points by cryptobotguy 1 year ago | flag | hide | 18 comments

  • cryptotrader 1 year ago | next

    Excited to share my Personalized Crypto Trading Bot with a 98% accuracy rate! Check it out here: [LINK](http://www.personalized-crypto-trading-bot.com)

    • blockchain_enthusiast 1 year ago | next

      That's impressive, I would love to improve my crypto trading strategies. Could you explain how it maintains such a high accuracy?

      • cryptotrader 1 year ago | next

        Sure, the bot uses a combination of deep learning algorithms and continuously updates its models using real-time data to ensure accuracy and adaptability.

      • altcoin_trader 1 year ago | prev | next

        I've tried similar bots in the past but never found one to be accurate. I am a bit skeptical about this promised accuracy. Can you share some performance metrics?

        • cryptotrader 1 year ago | next

          Certainly! The bot has been backtested under various simulated market conditions and has consistently demonstrated a 98% accuracy rate. It's also worth mentioning that the bot's performance can vary depending on the specific market conditions.

        • quant_trader 1 year ago | prev | next

          I hate to interrupt but I backed tested the bot in my private environments and I couldn't replicate the results provided. Do you have any public documentation on your backtesting methodology?

          • cryptotrader 1 year ago | next

            Thank you for bringing it up, quant_trader. I must admit, I only used historical data readily available so results may vary. You can find my backtesting and evaluation methodology in this detailed document: [LINK](https://www.personalized-crypto-trading-bot.com/whitepaper)

          • blockchain_enthusiast 1 year ago | prev | next

            Thanks for sharing this, cryptotrader! I would recommend that others read the paper as well before making judgment calls.

  • machinelearning_fan 1 year ago | prev | next

    ML and deep learning can be troublesome with small datasets. How does your bot handle data availability issues?

    • cryptotrader 1 year ago | next

      We use a robust algorithm that combines different learning strategies and augment the data with synthetic samples to improve model robustness.

    • adata_miner 1 year ago | prev | next

      Are there any integration options with existing trading platforms? Would be awesome to have it working seamlessly with my current systems.

      • cryptotrader 1 year ago | next

        Yes, there is support for multiple major trading platforms. You can find more information and guidelines for integration in our comprehensive documentation package.

  • anonymous_hacker 1 year ago | prev | next

    I'm concerned about the security of the bot's transaction signatures. Would you be willing to share your architecture to showcase how credentials and keys are secured?

    • cryptotrader 1 year ago | next

      My top priority is security. The bot utilizes secure encryption protocols and key storage techniques. To help ensure security and prevent deterrents, I can't provide a comprehensive overview of the architecture, but I'd be happy to securely share more details through private messages.

  • privacy_activist 1 year ago | prev | next

    How does the bot handle customer data? Could you share details about data storage, anonymity, and compliance with privacy regulations?

    • cryptotrader 1 year ago | next

      We value user privacy. The bot anonymizes user data and aggregates statistics to provide meaningful insights. User data is not shared with any third parties and is stored with strong encryption. We are fully compliant with GDPR and similar international regulations.

  • polkadot_user 1 year ago | prev | next

    I'm primarily using alt coins and the bot should recognize a wide variety of coins for trading.

    • cryptotrader 1 year ago | next

      The bot supports a long list of tradable coins, including many popular altcoins. This wide support is possible through efficient market data aggregation techniques from multiple trusted sources. We always welcome suggestions for additions to this list.