CryptoPulse 分析儀簡介：即時自動化加密貨幣分析

在不斷發展的加密貨幣交易世界中，保持領先不僅需要敏銳的洞察力，還需要高效的工具。我很高興分享我的最新項目：一個自動化系統，旨在徹底改變我們分析加密貨幣圖表的方式。以下是該系統的工作原理及其主要功能的詳細說明。

如何運作

1。資料收集

• 即時取得：系統使用 Binance API 和 WebSocket 串流來收集加密貨幣價格和交易量的即時資料。
• 資料儲存：收集的資料保存在 CSV 檔案中，以供歷史分析和未來參考。

def get_all_coins_usdt(self):
        self.logger.info("Fetching all trading pairs against USDT.")
        try:
            # Fetch all symbols
            exchange_info = self.client.get_exchange_info()
            symbols = [s['symbol'] for s in exchange_info['symbols'] if s['quoteAsset'] == 'USDT']
            self.logger.info("Successfully fetched trading pairs.")

2。訊號產生

• RSI 背離：計算相對強弱指數 (RSI)，以根據背離模式檢測潛在的價格反轉。
• 趨勢線突破：監控價格走勢是否突破重要趨勢線，顯示市場方向的潛在轉變。
• 移動平均線交叉：識別短期和長期移動平均線之間的交叉，以突出買入或賣出機會。

3。數據分析

• 自訂資料集：使用者可以產生和管理資料集，用於進階分析和機器學習應用程式。
• 互動式視覺化：雖然目前以後端為重點，但該系統旨在支援簡化趨勢分析的動態圖表。

4。警報和通知

• 自動警報：根據預先定義條件發送通知，讓交易者了解關鍵市場事件。

主要特點

1。即時數據取得
取得加密貨幣的即時更新，確保獲得最新資訊以便及時做出決策。

2。智慧交易訊號
RSI 背離、趨勢線突破和移動平均線交叉等進階訊號有助於偵測交易機會。

3。可自訂的資料集
建立並利用您自己的資料集進行機器學習和更深入的見解。

Symbol,Price,Open,High,Low,Close,Volume,Quote_Asset_Volume,Number_of_Trades,Taker_Buy_Base_Asset_Volume,Taker_Buy_Quote_Asset_Volume
ADAUSDT,0.3427,0.3427,0.3427,0.3426,0.3426,9621.6,3296.37462,11,144.6,49.55442
IOTAUSDT,0.1357,0.1357,0.1357,0.1357,0.1357,0.0,0.0,0,0.0,0.0
XLMUSDT,0.0993,0.0993,0.0993,0.0993,0.0993,18183.0,1805.5719,1,18183.0,1805.5719
ONTUSDT,0.1723,0.1723,0.1723,0.1723,0.1723,0.0,0.0,0,0.0,0.0
TRXUSDT,0.1288,0.1288,0.1289,0.1288,0.1288,59208.3,7628.67956,25,26505.2,3416.52028
ICXUSDT,0.1339,0.1339,0.1339,0.1339,0.1339,220.4,29.51156,1,0.0,0.0
VENUSDT,0.0001,0.0001,0.0001,0.0001,0.0001,0.0,0.0,0,0.0,0.0
NULSUSDT,0.2507,0.2507,0.2507,0.2507,0.2507,67.0,16.7969,1,0.0,0.0
VETUSDT,0.02361,0.02361,0.02361,0.02361,0.02361,5701.2,134.605332,1,0.0,0.0
BTTUSDT,0.002777,0.00277,0.00278,0.002762,0.002777,21866570.0,60650.905797,199,15153452.0,42041.468973
ONGUSDT,0.2972,0.2972,0.2972,0.2972,0.2972,1502.0,446.3944,4,1502.0,446.3944
HOTUSDT,0.001447,0.001447,0.001448,0.001447,0.001447

4。互動圖表
動態圖表旨在使發現趨勢和模式變得簡單。

5。自動警報
及時接收通知和分析以增強交易策略。

下一步：視覺人工智慧整合

對於版本 2，我計劃整合一個 AI 模型，可能是 Google Gemini 或我在 Huggingface 上找到的任何有趣的模型。這將涉及：

• 圖形分析：解釋顯示 RSI 背離和其他指標的圖形。
• 預測洞察：使用像 Gemini 這樣的 Vision AI 來分析數據並預測市場趨勢。

Git 儲存庫：

請繼續關注後端工作的更多更新和螢幕截圖。

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