量化
378,248 views
501 Discussing
Hot
Latest
See original
Hash Quantization Assistance: Is it a technological revolution or a harvesting trap?
"Monthly return of 300%+, guaranteed profits, driven by AI algorithms"—when these enticing phrases combine with "hash quantization," do you see a wealth code or a carefully designed scam?
1. The true face of hash quantization
Hash quantization is essentially an investment method based on hashing algorithms and quantization techniques, executed through mathematical models and computer programs for trading strategies. On a technical level, it does exist—multi-resolution hash encoding, quantization-aware hash algorithms, and other technologies have been successfully applied in fields such as computer vision and image retrieval.
However:
1. The true face of hash quantization
Hash quantization is essentially an investment method based on hashing algorithms and quantization techniques, executed through mathematical models and computer programs for trading strategies. On a technical level, it does exist—multi-resolution hash encoding, quantization-aware hash algorithms, and other technologies have been successfully applied in fields such as computer vision and image retrieval.
However:
See original
Five days to triple, how about that?
That's right, this is the charm of quantitative analysis
#量化 $ETH
That's right, this is the charm of quantitative analysis
#量化 $ETH
See original
The EA quantitative trading system leverages the power of algorithms to build a robust path for users to achieve stable returns. By dynamically executing trades based on preset strategies, the system captures multidimensional data fluctuations in real-time, avoiding interference from subjective emotions. A precisely designed risk control system ensures the stability and sustainability of each trade, enhancing the efficiency of capital utilization. Long-term backtesting verifies the reliability of strategies, continuously optimizing models to adapt to market changes. From data cleaning to signal generation, the entire process is automated, efficiently outputting a revenue growth curve. Embrace the new era of intelligent trading, with professional models aiding in the realization of wealth appreciation dreams. No need for manual monitoring; technology replaces human effort, making investment more relaxed. The system has been validated for its robustness across multiple market cycles, making it the top choice for investors seeking long-term stable returns #量化 $BTC
See original
Share some basic knowledge with my brothers every day
Today I will share some free quantitative trading software
1. TqSdk: An open-source platform based on Python that offers complete functions including historical data retrieval, real-time market data, backtesting, and simulation trading for free. It allows simple automated trading strategies to be implemented in just 5 lines of code, with all calculations done locally to protect the security of the strategies, making it suitable for beginners with basic programming skills.
2. MiniQMT: A simplified free version of QMT, featuring a clean interface and efficient operation, supporting Python programming. The strategy code and data are stored locally with high security, and it supports multi-strategy parallel operation while retaining core trading functions and removing complex additional features, making it especially suitable for personal quantitative entry-level users.
3. JoinQuant: One of the earlier quantitative platforms in the country, the free version provides a basic investment research environment and rich data for stocks, futures, etc. There are many strategy examples available on the platform for reference, and the community is active for easy communication. However, real trading requires payment, making it suitable for strategy research and backtesting.
4. Hang Seng PTrade: Beginner-friendly with no programming required, the free version includes templates for grid trading, AI strategy generation, etc. It can be operated without coding. It supports cloud-based operation, so even if the computer is turned off, it does not affect strategy execution. Most brokers provide free access to users who meet certain capital requirements.
5. Backtrader: An open-source backtesting framework based on Python, with simple and understandable code. It supports various data sources and a rich set of indicator calculation functions, allowing users to easily import data, build trading strategies, and backtest them, suitable for users with programming skills who want to build a trading system from the ground up.
6. Quant Master: Its core advantage is supporting graphical strategy writing without programming. Users can easily discover quality strategies and subscribe to them, and they will receive rebalancing push notifications, greatly simplifying the operation process, especially suitable for ordinary investors with weak programming foundations. #量化 #美联储重启降息步伐
Today I will share some free quantitative trading software
1. TqSdk: An open-source platform based on Python that offers complete functions including historical data retrieval, real-time market data, backtesting, and simulation trading for free. It allows simple automated trading strategies to be implemented in just 5 lines of code, with all calculations done locally to protect the security of the strategies, making it suitable for beginners with basic programming skills.
2. MiniQMT: A simplified free version of QMT, featuring a clean interface and efficient operation, supporting Python programming. The strategy code and data are stored locally with high security, and it supports multi-strategy parallel operation while retaining core trading functions and removing complex additional features, making it especially suitable for personal quantitative entry-level users.
3. JoinQuant: One of the earlier quantitative platforms in the country, the free version provides a basic investment research environment and rich data for stocks, futures, etc. There are many strategy examples available on the platform for reference, and the community is active for easy communication. However, real trading requires payment, making it suitable for strategy research and backtesting.
4. Hang Seng PTrade: Beginner-friendly with no programming required, the free version includes templates for grid trading, AI strategy generation, etc. It can be operated without coding. It supports cloud-based operation, so even if the computer is turned off, it does not affect strategy execution. Most brokers provide free access to users who meet certain capital requirements.
5. Backtrader: An open-source backtesting framework based on Python, with simple and understandable code. It supports various data sources and a rich set of indicator calculation functions, allowing users to easily import data, build trading strategies, and backtest them, suitable for users with programming skills who want to build a trading system from the ground up.
6. Quant Master: Its core advantage is supporting graphical strategy writing without programming. Users can easily discover quality strategies and subscribe to them, and they will receive rebalancing push notifications, greatly simplifying the operation process, especially suitable for ordinary investors with weak programming foundations. #量化 #美联储重启降息步伐
See original
Good news!
My quantitative platform is about to launch!
In four days of testing, it doubled 🤤
Let me show you the backtest from the last five days #量化 $ETH
Ps: Don't look at the maximum drawdown, high-frequency trading should have an aggressive style
My quantitative platform is about to launch!
In four days of testing, it doubled 🤤
Let me show you the backtest from the last five days #量化 $ETH
Ps: Don't look at the maximum drawdown, high-frequency trading should have an aggressive style
只会拉满梭哈:
强的
See original
$DOGE #量化 I found that entering with trend lines and using support and resistance lines for take profit and stop loss is also a relatively good strategy, at least I lose less each time.
DOGEUSDT
Perp
75X
Opening Long
Unrealized PNL
-1,117.71USDT
See original
Some trades made by the quantitative robot today, with a total of about thirty small-level trades. These two can be considered as two varieties with extremely high profits, #量化
Login to explore more contents