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市場摘要

TSEC WEIGHTED INDEXTAIEX
標準普爾500SPX
US 100 INDEXNDQ
道瓊斯 30DJI
日經225NI225
UK 100UKX
TENCENT HOLDINGS LIMITED700
AIA GROUP LIMITED1299
SUNNY OPTICAL TECHNOLOGY GROUP2382
LINK REAL ESTATE INVESTMENT TRUST823
HSBC HOLDINGS PLC5
HONG KONG EXCHANGES & CLEARING388
加密貨幣市值TOTAL
比特幣BTCUSD
以太坊ETHUSD
SolanaSOLUSD
UniswapUNIUSD
Luna / 美元LUNAUSD
美元DXY
EUR/USDEURUSD
USD/JPYUSDJPY
GBP/USDGBPUSD
AUD/USDAUDUSD
USD/CADUSDCAD
黃金GC1!
銀SI1!
原油CL1!
天然氣NG1!
棉花TT1!
比特幣BTC1!
美國公債10年期US10Y
歐元10YEU10Y
德國公債10年期DE10Y
日本公債10年期收益JP10Y
英國公債10年期GB10Y
印度公債10年期IN10Y

交易想法

【 崩盤與否，今天或成關鍵 】標普500失守重大支撐，危機迫在眉睫？先說結論：上週五標普 500 又再度跌破前方六月中的低點，下一個關卡在 3,250。今天晚上會是跌破後的第一根，如果沒有辦法快速攀升回到 3,642 之上，就代表真的失守這個支撐大關。 因為比特幣跟美股連動的關係，越來越多幣圈的人在這波熊市，也開始關注總體經濟，或著說大家轉向關注這個有效的「指標」，但將焦點放在美股、聯準會、升息等等的同時，似乎忽略了總體經濟不是只有美國。 歐元兌美元在 500 天內下跌超過 20%，近期最低點來到0.955 : 1，已經跌破一比一大關。歐元區的能源持續上漲，德國的通膨更來到 70 年來最高，英國更是實施了減稅等實施擴張性財政政策，隨時還有烏俄戰爭的攪局，短期內就算沒發生金融危機，至少也是完全樂觀不起來。 從歐洲指數 600 的線圖來看，現在剛好與 2020/3/12 股災的起跌價格差不多，上一次可以在一個月內下跌 38%，這次如果發生黑天鵝又會有多少跌幅呢？當大跌之後又會有多少連環效應，牽連到其他經濟體呢？ 危機就是轉機，遇到大跌也好，遇到黑天鵝也好，那幾乎是敲響了買入的訊號，儲備好現金，熊市會結束在大跌之中。 -------------------- 你的讚是幣修持續出文的動力🥰 本篇按讚突破 40 人隔天就出比特幣分析～
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ETH/USD以太坊階段性雙頂破位，回測有效，目標位1000美金~目前以太坊的價格處於1240附近支撐區，在這個區域存在買盤，價格出現了反彈，震盪，很多朋友或將開始蠢蠢欲動，但個人覺得這個位置更多的是風險 1.當前價格走勢日線級別形成明顯的雙頂結構，並且有效破位，下方的支撐和上方壓力所處的區間很小，價格波動也非常小，但順應趨勢是我們首先要遵守的原則。 2.價格跌破雙頂區域之後，出現了明顯的向上插針動作，表明上方供應相對強勢，這個動作也被稱為回測。 3.如果該區域是以太坊反轉區，那麼價格首先需要上漲至雙頂結構的頸線位上方，目前並沒有看到，不符合多頭預期，沒有理由看多。 4.即使該位置發生向上的上漲，我也只視為階段性反彈，不構成熊市反轉條件。
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2498 宏達電 - 頭肩頂 & 個人預測短期走勢評論 : 1) 宏達電在形成頭肩頂(H&S)后，于今天(26-Sept)向下跌破頸線A。一旦跌破頸線，頭肩頂即形成，賣壓也立即反映在今天的股價，今天單日跌7.89%。 在頭肩頂形成時，左肩(a)的成交量大於頭部(b)，头部(b)由於多空双方大量换手，成交量放大。右肩(c)形成高點時，成交量也稍微放量出貨。右肩(c)高點回落後，成交量呈现持续萎缩的态势。 2) TrendX+ - K線持續盤旋在中期趨勢線之上，但今天已轉爲中期下降趨勢線。 3) DDX+ - K線跌破中期趨勢線，中期趨勢轉爲向下。 4) MCDX+ - 自價格跌破頸線A后，banker bar轉弱。右肩(c)形成時，retail bar平均線 (RMA)就開始逐漸向上，也就是說retail bar在右肩(c)逐漸增加中。 壓力&支持 : R : 頸線A S : 45 +/- 免責聲明 : 以上分析僅用於個案案例研究為目的，而非專業建議。 此分析不提供任何交易建議和買賣。 自負風險。
編輯精選
破底前的反噬之前有提過，較大的跌勢可能落在10、11月。就週走勢圖觀察，如果以 2020/8/17 為起點，目前已經有效跌破 Fib 0.618 (14298)的位置， 而且是第二次跌破，就非常有機會回到 Fib 0.875 (12811)的位置，搭配 DMI 指標觀察也非常符合這個現象。 近期美股標指已經殺到市寬超賣的地步，股價在 20MA 以上佔比為 2.78；50MA 以上佔比為 4.37；14 RSI < 30，近期應該會有一波反彈， 也應該會帶動台股做一波反彈。但是，不要對台股的反彈過於期待，因為 14298 原本是支撐，現在反倒變成了壓力。同時，日線的中繼缺口 就在 14425-14325 之間，相較於週五的收盤價 14118，空間不是很大就是了。
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DXY 階段頂 DJI 來一波小牛 把握機會圖表上 8/16那天 我有做兩個路徑預測 時間上我沒細抓 只是抓個大概範圍 嚴格上路徑抓的還可以 只是中間的點位是有落差 當然預測是要時時修正 不過最後的預測點位是滿接近的 這倒是不錯 在19號時 我有再做了一個路徑 這個路徑在時間上有稍微抓了一下 目前明顯走向菊線 但是注意 路徑是活的 有可能來回變 假定接下來的行情會如預測走橘線 那可知的是即將走一個W底突破後回踩再攻 注意的地方是 那三條黃線 10/17～11/17 左右 這段時間有可能會是最後高點所在 比較有可能的是突破中間有箭頭的黃線 在攻最上面黃線後失敗跌回再假動作誘多後 Say good bye 注意 路徑點位會隨著行情波動而改變 路徑方向也會隨著消息波動 不要以為畫出來就是這樣走 美元現價113大約是階段頂部 (可能會摸一下113.8) 預期會回落一些 但是應該不會太多 這也是為什麼股市會有一波休息 把握難得機會 注意止損止盈
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2022 FIFA WORLD CUP CHZ PART IICHZ 完整解析板本 繼上篇後 來一篇完整版(廢話版) 這版本廢話比較多 而且都是個人看法 希望各高手可以給點教導 上篇提到的是最好狀況 這篇主要是討論 如果不是走飛天區 而是走套房區 那要看哪裡 一樣先看主圖 我有標記可能區域位置 可能達到的位置我也有標記出來 而目標時間點其實不管是那種都很有機會 一個是在FIFA決賽開賽前到達 一個是在FIFA總決賽前到達 慶幸的是 飛天區的目標時間比較近 當然莊家會不會反過來玩 這不能預估 但是提前計畫會有個底 重點 1.假定這波是走套房區的頂點位置 33天後+141% 目標價格大約0.5 可以看一下 這個位置 會發現剛好是 2021 2月起漲後到現在的平均高點最高的區域 同時也是上來後 (2021 3/14以來) 成交量最高的區域 所以到這邊壓力山大 要突破很困難 但是只要一突破站穩。那就飛天啦~~~~~ 2.以天數來看。放大圖表 注意前套房區底算100天有個高點然後回調再拉盤 放到現在來看 5/12到8/23 103天剛好也來了一個高點 雖然漲幅差距有一大段 但是對於小幣來說 凡事都有可能 故放入評估內 3.反觀原飛天區第一根底到高點時間比較長(原飛天區 114天比103天) 但符合誤差 而且整體形態上比套房區更相近 都有吸籌碼區 所以我個人是偏向這波是走飛天區的走法 4.現在要關注的重點在於 這邊洗盤要多久跟幅度會多大 以前段來說 歷時37日上下40%(包含插針) 這波目前看來應該暫時不會那麼洗 主要是因為量沒出來 或者說被其他分散 基於這一點 我認為是往飛天區方向比較多 個人目前認為比較需要關注的位置有 0.172 0.151 0.119 （老天賞飯吃 只是敢不敢吃) 5.整體計畫 目標點位 A 0.50 11/26 B 7.9 11/04 (這個是以高點對高點 往上推測) C 8.9 10/25 重要時間點 除預測時間外 決賽開賽時間 11-20 Deadline 總決賽 12-02 前 而發動時間應該是時間上應該是9/30號前後 因為整體經濟情況及CHZ本身拉貨前上下會很劇烈 所以目前是網格為主 時間差不多時再開合約啟動 合約上注意前段拉漲時的回調很劇烈 所以要小心 主升段後就會比較平緩 之後注意移動止盈或預設利潤就好 祝大家發財
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BTCUSD H12走勢持續走弱BTCUSD H12走勢持續走弱 目前我們看到BTCUSD的12小時K線圖 圖表內EMA均線組合呈現出空頭排列 指標判斷空頭尚未反轉 型態呈現出的是反咖啡杯型態(倒杯柄型態) 若杯沿前低18461.0跌破收低 走勢則大概率持續走弱 下方日線前低支撐17567.0同樣需額外關注 近日數字貨幣市場波段較大，建議操作者應嚴格執行風控，並且避免高槓桿與高合約量的操作 以免動盪行情造成額外虧損 文章屬個人評論，請讀者謹慎參考，虛擬貨幣交易可能對您的資本帶來風險。
編輯精選
ETH大週期與小週期的看法週線對數圖表(左圖)： 在2018年形成高點1419.96之後下跌，價位走出大型雙底型態並突破向上，最高點來到4867.81。 ETH週線圖中仍在阻力趨勢線的下方。雖然價位來到支撐區間804.59~1124.23之後進行反彈，最高來到2031.39。不過隨後出現的吞噬型態，顯示出ETH並未反轉趨勢，而價位也是繼續下跌。 - 如果ETH能夠再次測試阻力區間804.59~1124.23並且形成有效支撐之後，再上漲會比較適當。而這樣的走勢也與前面2018年形成高點之後下跌，然後出現的雙底型態類似。 - 四小時圖表(右圖)： 頭肩底型態尚未失效，價位還沒跌破右肩1489.98。價位還在支撐趨勢線上方且還是有機會來到1851.26與1952.90。 若價位再次回到頸線1686.82之上，可以將1558.35設為止損價位，並且在1851.26與1952.90止盈。 若價位跌破支撐趨勢線，關注下方支撐1356.30~1440.63。 -
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震盪往下今日加權指數收在 14658，盤中最低點在 14522，這個位置距離月線 -3% 多一點點。處在收斂格局的當下，去追殺就有點辛苦了。 日線 K 線組合形態為夜星，指數 < 10MA < 10MA 扣抵，但因為目前處在收斂格局，研判震盪往下的機率偏高。單 K 雖然收長下影線，可是位於均線下方，與上方均線負乖離也不大，在實務操作上沒什麼具體效用。 與台股指數正相關最高的費半指數，在沒站上 2793 前，價格慣性是往下，納指則是在 12077。美國10年國債孳息利率一直在 3.356% 上下遊走，這是過前高的徵兆，債息高不利於高科技類股，也就是電子類股中的半導體。 註：外資選擇權賣權未平倉金額約七億多一點，是近二個月最大。
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CHZ FIFA World Cup世界杯即將進入最精彩的時期 而相關概念股 即將表態的時間也應該差不多了 特別來關注一下 目前形態上2021/8/17這段類似 如果以這一段當作參考 在拉漲前會有雙頭再杯炳後才開始拉漲 只是要注意的是前段時間拉盤前會有一段爆量-量縮 目前雖然未有明顯爆量 但可以觀察RSI是否會有徵兆進場 另外拉FIB時間軸 長軸(起始為前段起點 顏色明顯) 這段行情概率上是要往上 短軸(起始為這段起點 顏色調淡) 同樣也是上行 而止於世界杯決賽前 這也符合預期 煙火最燦爛時也是謝幕的開始 時間範圍 前段208天。而如果以FIB時間週期抓 210天也在合理範圍內 假定如果實體經濟影響沒那麼劇烈 或許CHZ走滿前段漲幅是有機會的 預期有4700% 如果無法有效突破2021/3 月 那也有370% 祝各位投資順利 本篇致敬 2140 Sam大的提醒 附註 現貨原則上都可以進 只要止損設好 合約注意波動 推測會先殺（插)再拉. 0.18/0.175/0.15 注意RSI或量能再決定掛單位置及止損位
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如何透過查看利率來改善交易：第3篇大家好！👋 這個月，我們想探討利率這個話題，什麼是利率，為什麼利率很重要，以及如何在交易中使用利率資訊。這是新手交易者剛開始通常會忽略的話題，因此，我們希望對於期待了解更多有關宏觀經濟學和基本面分析的新手來說，這是一個有用且可操作的系列！ 在我們的第一篇文章中， 我們了解 如何在TradingView上查找利率資訊，以及利率如何在公開市場中波動。 在我們的第二篇文章中 ，我們研究了投資者在投資債券（利率）與其他資產時必須做出的一些決策。 今天，我們將透過三個具體的例子來看看全球投資者是如何理解利率的。 讓我們開始吧！ 正如我們上次提到的，在了解任何地區的利率時，需要關注三個主要方面： 1.) 中央銀行基金利率風險 2.) 通膨風險 3.) 信用風險 首先，讓我們看一下信用風險。 💥💥 信用風險是您可能無法取回您借給某實體對象的錢的情況。對於本系列，由於我們只關注政府債券，這代表著政府不會還錢給您的風險。 經驗告訴我們：在所有條件相同的情況下，實體（公司、國家/地區）為借錢支付的費用越多，他們在投資者眼中的“穩定性”就越低。 接下來，我們來看看通膨風險。 💸💸 通貨膨脹風險是當您的本金可能隨著時間的推移，而失去購買力時，就會發生這種情況，因為通貨膨脹率高於利率。 例如，請看此圖表： 在藍色/白色部分，您可以看到土耳其1年期債券收益率。在綠色部分，您可以看到美國1年期債券收益率。請注意利率的差異 — 土耳其債券支付14%，美國債券支付3%。雖然美國是一個更大、更發達的經濟體（因此“信用”風險較低），但收益率的一些差異歸結為經濟體內部通膨率的巨大差異。 在紅色部分，您可以看到美國的通貨膨脹率，在黃色部分，您可以看到土耳其的通貨膨脹率。假設匯率穩定，隨著時間的推移，土耳其里拉對於美元購買的商品和服務相對越來越少，投資者將要求更高的收益率以防止購買力下降。 經驗告訴我們：利率的方向會告訴你：投資者認為通貨膨脹在一定時間範圍內可能會如何發展。 最後，讓我們看一下中央銀行基金風險。 🏦🏦 中央銀行基金風險是中央銀行可能將基礎資金利率，對您的部位不利時所發生的事情。 請看這張圖表： 它與上次的圖表相同，但我們沒有將通貨膨脹率疊加在利率上，而是將當前的中央銀行利率增加到圖表中。 請記住，中央銀行利率是您從銀行獲得的利率，而不會將您的資金“鎖定”為向政府提供的貸款。 中央銀行利率風險在債券定價中扮演著最重要的角色，正如你所看到的，利率和收益率密切相關，尤其是因為這些只是1年期債券（我們將在下週查看收益率曲線）。 話雖如此，鑑於世界各地的中央銀行通常被授權，嘗試為消費者創造穩定的價格，因此它們的行動往往與通貨膨脹共舞。有時銀行會過度升息並造成通貨緊縮。有時銀行會升息太少，並且會“落後”通貨膨脹（正如許多人認為的那樣）。 經驗告訴我們：利率是中央銀行政策的指標，受多種因素影響，且因地區而異。換句話說 — 利率可以描述經濟的健康狀況。太“高”，代表中央銀行可能已經失​​控。太“低”，則經濟可能停滯不前。這些是概括，但它們是在相對基礎上比較地區的一個不錯的起點。 這些您都已經了解了！從觀察市場的即時走勢中可以學到一些具體的例子和經驗。了解這些動態對於制定更全面的交易策略非常有幫助。換句話說，如果您進行外匯交易，了解國家之間的利率差異，以及利率的潛在驅動因素非常重要。同樣，如果您正在考慮投資一家公司，那麼查看該公司的債券收益率可以告訴您，投資者認為該公司違約的風險有多大。 下週，我們將看看收益率曲線，並了解如何使用該資訊開始預測價格和整體經濟的課程。 - TradingView團隊❤️❤️
編輯精選
教育
不同週期的趨勢不一致如何處理？ 首先要搞懂「觀點」和「交易計劃」的區別！無論是順勢交易者還是逆勢交易者 在交易中只要會關注趨勢，就勢必會遇到不同週期的趨勢不一致所產生的衝突 例如最近的 GBPUSD 日圖毋庸置疑是個創新低的下跌趨勢 但在小級別 15 分鐘圖，反彈逾 400 點也明顯是個上升趨勢 這裡有第一層關鍵的邏輯是「趨勢判定」，當然上述兩個週期都是最簡單的可以用肉眼輕鬆識別的趨勢 趨勢判定的定義每個人愛用的不盡相同，有人用指標、有人用均線、有人憑感覺， 我個人還是喜歡用傳統的高低點 但這完全可以另外開一篇完整的來講，會有點離題，我們就還是先用這個英鎊的例子來聊聊今天的主題 「不同週期的趨勢不一致如何處理」 而這就會扣回我標題講的關鍵，你需要去區分交易中的各種訊息， 是對你的「觀點」有幫助，還是對你的「交易計劃」有幫助。 觀點指的是你看多還是看空，我通常會稱之為 「多頭思路」和「空頭思路」 在多頭思路底下，就會傾向找做多的交易計劃，遇到做空的交易就會傾向跳過 同樣的，在空頭思路底下，就會傾向找做空的交易計劃，遇到做多的交易就會傾向跳過 而如果你沒有觀點、那就是震盪思路，震盪思路一樣可以找低多高空的交易計劃 但是對於趨勢交易者而言，就會更願意去在有觀點的時候，操作符合觀點的交易 這裡又可以扣回一個大家或多或少可能聽過的 「大級別找方向、小級別找入場」； 這句話的“方向” 其實就是觀點、“入場” 其實就是交易計劃。 以我個人而言，我是一個順勢交易者、喜歡從日圖去取得觀點， 所以當我看到英鎊的日圖時，我會因為看到是 「日圖下跌趨勢」 而取得 「空頭思路」。 此時我切換到小級別找入場的目的就是 「找到配合我空頭思路的做空交易」 而當我切換到 15 分鐘圖，發現是上升趨勢的時候，應該如何思考呢？ 簡單來說．常見的做空入場方式不外乎「高空」和「追空」 如果你是喜歡操作低多高空的交易者，你會發現「一定是小級別有反彈，才會有入場機會」 也就是說，不同週期的趨勢不一致根本是偽命題 想要做順勢交易的高空的人，本質就是在大級別下跌趨勢、小級別上升趨勢的情況下嘗試做空 兩者毫不衝突 所以當我切換到英鎊的 15 分鐘圖時，我就會 密切留意有沒有左側的阻力結構、或是新形成的反轉信號 以作為空單的交易計劃，而不會因為 15 分鐘圖是上升趨勢就想要貿然嘗試多單 因為我的觀點一開始就定好了是從日圖得來的，15 分鐘圖發生的任何事，如果沒有改變日圖觀點 那我一樣是只想要做空的 而如果大級別是下跌趨勢、小級別也是下跌趨勢呢？ 那就是「追空」邏輯、也就是我最喜歡的 動能交易 的守備範圍了，當然也可以做交易～ ＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝ 整套邏輯是很完整的 但篇幅有限不小心就打 1000 多字了 如果你想嘗試用這個邏輯解決困擾你的「不同週期的趨勢不一致如何處理？」 第一步也很簡單 就是嘗試列出你自己手邊有的武器庫 有哪些分析方法會影響你的觀點？ 又有哪些交易策略，可以給你具體的入場止損止盈的交易計劃？ 只要這兩層邏輯定好，那就永遠不需要再為這個問題困擾啦！ Let's see how it goes yo!
編輯精選
教育
4
創造巨額利潤的“Vegas隧道交易法”優缺點系統性教學~在閱讀該教學觀點之前我先先聲明，任何交易投資方法都有其優缺點，在熟練掌握一套交易方法和對市場有客觀的認識之前，直接採用任何交易方法和大資金進行交易無疑是賭博行為，大家在學習完這套交易方法後，感興趣的朋友要多進行複盤和練習才能徹底了解該方法的優缺點，才能熟練使用，我本人並不採用”Vegas隧道交易法“來進行實盤交易，但偶爾會用該方法參考進行行情分析，我所採用的是我自己開發的交易方法，原因並不是因為Vegas隧道交易法不具備實盤交易價值，恰好相反，這套交易方法具備十分有用的獲利價值，目前在各個投資交易市場依舊有人靠這套方法獲得巨額利潤，但交易之路只有適合自己的方法才是最好的，Vegas這套方法比較簡單，但並不代表不具備強大的盈利價值，認真學習每個人都可以學會並且熟練掌握。 Vegas(維加斯）隧道交易法 1.起源：在距今20多年前，有一位華爾街頂級對沖基金經理名為Vegas, 他靠自己開發的交易方法在市場中賺取了巨額利潤之後將這套交易方法在網上進行了公開，並以自己的名字命名。名為“Vegas隧道交易法”，從此這套交易法逐步開始走向大眾的視野。 2.定義：Vegas隧道交易法所採用的指標工具為EMA,其指標參數為:EAM144,EMA169,EMA12,EMA576,EMA676.其中EMA144和EMA169為“隧道區”Vegas本人認為是價格多空力量主要分水嶺，起到支撐位和壓力位作用，EMA12做為“過濾器”使用，EMA576和EMA676做為大趨勢方向的研判和輔助。 3.具體用法：當價格和EMA12同時向上突破隧道區（EMA144和EMA169)，並且價格處於EMA576和EMA676之上時，則後市行情看多 。當價格和EMA12向下跌破隧道區，並且價格處於EMA576和EMA676之下時，則後市行情看空，多空頭寸止損為隧道區的另一側。 注意：1.EMA12做為過濾器使用，其作用是區分真假突破，當價格突破隧道區但EMA12沒有突破時，視為假突破,不參與操作,只有當價格和EMA12同時突破隧道區時才視為真突破。 2.EMA576和EMA676做為大趨勢方向研判方法，其核心邏輯是順應趨勢方向，無論何時都要順著EMA576和EMA676方向操作，主動放棄方向不一致的交易機會。 3.Vegas交易法開發者本人在公開的時候有所保留，比如具體的止盈位置，倉位比例等等，都是學習者需要進行優化的地方，或者使用該方法進行行情參考。 優缺點：缺點，根據我個人的交易經驗，Vegas隧道交易法明顯的缺點在於震盪行情的時候，EMA144，EMA169隧道區和EMA576和EMA676輔助線容易形成均線黏合，反復交叉，導致無法正常識別到可靠的交易機會，但可以使用行情週期來進行優化，過濾掉一些勝率比較低的震盪週期，專注於捕捉趨勢行情。 優點，能夠有效的識別趨勢反轉階段，及時轉換牛熊思維，從而不會導致踏空大部分大單邊行情，另外，“Vegas隧道交易法”本質上屬於趨勢交易法，能夠有效捕捉趨勢行情，從而獲得比較可觀的盈虧比。
編輯精選
教育
1
經典價格形態之趨勢中繼形態篇~傳統反轉形態做為一種古老的交易藝術，無疑是比較簡單且非常實用的方法，掌握了傳統反轉形態對分析價格走勢具備十分有用的優勢，但任何交易方法都有其優缺點，不能祈求預測市場或追求100%的勝率，只有用概率的思維看待市場波動，才能合理運用任何一種交易方法。 這一篇文章是接上一篇“經典反轉形態篇”，到這裡常見的幾種經典價格形態就已經講解完了，後續我將系統性的講解“Vegas隧道交易法”及其優缺點和注意事項。持續關注~ 編輯不易，點贊評論。
編輯精選
教育
3
如何透過查看利率來改善交易：第2篇大家好！ 👋 這個月，我們想探討利率這個話題，什麼是利率，為什麼利率很重要，以及如何在交易中使用利率資訊。這是新手交易者在開始時通常會忽略的話題，這是新手交易者剛開始通常會忽略的話題，因此，我們希望對於期待了解更多有關宏觀經濟學和基本面分析的新手來說，這是一個有用且可操作的系列！ 上週，我們了解了如何在我們的平台上查找債券價格，以及快速提示了一些利率變動方式和原因。如果您想快速復習，請點擊本文底部的連結。本週，讓我們看看為什麼了解利率對您的交易很重要，以及如何利用這些資訊來發揮自己的優勢。 您可以從三個維度考慮利率市場。 1.) 絕對的 2.) 相對的 3.) 隨著時間 換句話說； 1.) 利率是如何在絕對基礎上進行交易？也就是，它們是否為投資者提供有吸引力的風險/回報？ 2.) 利率如何在相對基礎上進行交易？也就是，不同國家之間的債券價格有什麼區別？ 3.) 利率如何隨時間進行交易？也就是，什麼是“收益率曲線”？ 對每一個維度以及它們的運作方式進行更深入的了解，是非常值得的一件事。本週我們將從“絕對”角度來看待利率 。 🏦 在這種直接的基礎上將債券視為投資工具時，更廣泛的市場投資者通常會從收益率/總回報的角度來看待債券與股票、大宗商品和加密貨幣等其他資產類別相比的吸引力。 在衡量這個總回報問題時，需要了解三個主要風險： 1.) 中央銀行基金利率風險 2.) 通膨風險 3.) 信用風險 換句話說； 1.) 中央銀行利率的變動是否會導致我收到的債券利率變得沒有競爭力？ 2.) 債券是帶有計時器的貸款。就購買力而言，通貨膨脹會不會比我得到的收益更快地侵蝕我的本金？ 3.) 我的交易對手能否在債券到期時讓我全身而退？ 對於美國來說，第三個問題通常會被“忽略”，因為向美國政府借錢通常被視為“無風險”，但在所有情況下，了解債券收益率在固定時間內與利率和通貨膨脹的影響力是一個重要的問題。 除此之外，需要將利率的絕對風險/回報與其他資產類別進行比較。如果標準普爾500指數的收益率為2%，由該國最大公司的收益支付，那麼持有股票的風險與持有債券的風險相比如何？了解機構如何判斷這一決定通常可以透過觀察公開市場中的利率變動來衡量。當股票表現優於債券時，機構對股票的需求較高，表明人們感覺良好並願意冒險。當債券的表現優於股票時，這可能表明人們更願意持有“無風險”的利息支付工具，而不是經濟前景惡化的公司的股票。 這是查看利率的最直接方式 — 它們與市場中的絕對風險相比如何，與其他“收益率”流相比如何？從風險/回報的角度來看，它們有什麼意義？ 最後一件事 — 如果利率上升，那麼“補償”承擔風險所需的回報金額需要越來越高，或者股票等其他資產開始顯得缺乏競爭力。此外，鑑於大多數估值計算依賴於“無風險利率”，更高的利率代表未來的現金流價值更低。 例如，這種內爆發生在去年底，當時人們開始出售債券，利率開始上升。隨著利率上升，那些在未來定價的“價值”很大一部分的股票受到的打擊最大，因為這些現金流的實際價值下降了。 將利率納入視野，對於市場的重大變動有很大幫助。 😀 這就是本週的全部內容！下週，我們將研究信用風險和外匯風險如何影響相對債券定價，以及不同的主權債券在相對基礎上可能或可能不會相互吸引。我們的最後一週將關注收益率曲線，以及隨著時間的推移，風險如何影響利率需求。 加油！ -TradingView團隊 如果您沒有看過，這是上週的文章：https://tw.tradingview.com/chart/US10Y/hgqEkxWj/
編輯精選
教育
如何透過查看利率來改善交易：第1篇大家好！ 👋 這個月，我們想探討利率這個話題；什麼是利率，為什麼利率很重要，以及如何在交易中使用利率資訊。這是新手交易者剛開始通常會忽略的話題，因此，我們希望對於期待了解更多有關宏觀經濟學和基本面分析的新手來說，這是一個有用且可操作的系列！ 第一個問題是處理利率時，如何查看TradingView上的資訊。雖然您可以點擊“市場”下的“債券”頁籤並移動到“利率”表，但查看全球利率的更簡單方法，是使用“搜尋”並輸入“10Y”。然後，點擊“經濟”，您便可以看到全球所有10年期利率市場： 此設置將為您提供“10年”利率，但您可以透過使用其他商品代碼獲得不同期限的債券。例如：您可以輸入“US03M”查看美國3個月的利率，或輸入“BR10Y”查看巴西10年的利率。我們系統中的所有費率市場都遵循此報價標準。試試看吧！這很簡單。 對於不熟悉的人來說，這裡提供利率如何運作的真相。 利率在公開市場上波動，就像股票或加密貨幣一樣；它們與政府債券價格成反比。透過這種方式，您可以簡單地查看政府債券價格以了解利率的表現 -> 它們將朝相反的方向移動。 其背後的原因是，在發行債券時，它們是按“市值”和“票面利率”發行的。假設政府債券的市值為$1,000，票面利率為2%。這代表每年，債券發行人將向債券所有者支付$20。 問題是，債券發行後，可以在公開市場上自由交易。假設出於某種原因，債券的需求量很大，$1,000的債券升值並以$1,030開始交易。因為支付給債券持有人的$20是固定的，所以買家在為債券支付$1,030時獲得的實際“利率”會略低於2% -> 準確來說是1.94%。 因此，債券價格的變化會改變市場上的即時“利率”！ 需要注意一點： 政府債券利率與政府設定的“資金”利率不同，後者由一個國家的中央銀行決定。 下週的第2篇，我們將看看是什麼推動了政府債券/利率的供需，以及貨幣政策如何影響您交易的所有資產。另外，您如何利用這些資訊來發揮自己的優勢！ 下週見！ - TradingView團隊❤️❤️
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教育
2
菱形菱形為反轉形態，屬於頭肩形態的變形，如果在相對低點發生屬於頭肩底，特性是先軋空再殺多。反之亦然。 以近期納指為例，先畫出 A B 兩條線，再分別以 A B 畫出平行線 C D。 漲幅測距為 F G 兩點的距離，加上突破點 E 。 台股指數近期也是菱形底，在本人以下貼文裡的補充有提到， 在政府基金宣佈不護盤的隔日，就已經有菱形的雛形，如果投機一點，價外買權多頭價差或是裸買 Call (視情況而定)，以上兩者的特性都是賺大賠小，並且在進場前就能控制住損失，都是可以使用的方式。 菱形也不一定是真的菱形，蒲型也能算是菱形的一種，技術分析雖然有技術兩字，其實還是有一些藝術的成分在裡頭。 以下是納指在網路泡沫始末 如果有興趣繼續深入瞭解，谷歌 Diamond Bottom 或是 Diamond Top 能找到一些資料。 不少人在指數操作喜歡看大戶或是法人的籌碼分佈，其實更應該研究的是，這些大戶為什麼會這樣佈局。
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教育
1
穩健盈利的核心,什麼是交易系統？交易系統包涵哪些東西？關於我對交易系統的一些理解，歡迎交流指正~“交易系統”這個詞彙想必大家都不陌生，但市場上真正擁有一套“穩健盈利”交易系統的人數實在屈指可數，今天和大家聊一聊我對交易系統的一些理解及應用方法，有不足的地方希望高手能夠批評指正，歡迎交流~ 首先，在聊交易系統之前我們必須要搞清楚一個市場的真相，無論技術分析還是基本面價值投資方法，又或是一些玄學預測方法，都無法準確無誤的預測市場下一步的走勢。最可怕的應該就是賺了錢的交易員偶爾也會做分析師的事情，導致大眾堅信市場是可以預測的，在明白市場無法預測之前，我們談交易系統簡直就是無稽之談，浪費時間... 個人認為一套完整併且符合科學依據的交易系統主要包含以下三個核心方面： 一.交易策略 二.資金管理 三.個人心理 以上三大核心因素缺一不可。 一.交易策略： 在明白了市場無法預測之後，我們應該搞清楚我們所應用的所有的交易方法，例如各種類型的指標，形態學，傳統量價關係，價格行為學，波浪理論，江恩理論，纏論，諧波，威克夫，亞當理論，磁區理論，價格模型等等，任何一種交易方法最終都要形成一個買賣點，而這個買賣點都只能歸為“交易策略”或者稱為交易信號，我們統稱為交易策略，市場上有非常多的人把一套交易策略簡單的理解為一套交易系統，其實這是非常致命的誤區...開發出一套交易策略之後，我們還需要花大量時間統計出該策略的三大要素： 1.交易勝率 2.平均盈虧比（注意是平均） 3.交易頻率 以上三大要素如果不能建立在科學的基礎之上，那麼該策略就是一套注定走向失敗的策略。交易勝率是該交易策略的成功率，平均盈虧比是平均盈利和平均虧損的比值，很多朋友在交易之前就是計算出該筆交易的參考盈虧比，用這樣的方法在市場上長期交易，我認為這樣的方法是不合理的，交易頻率是交易次數。其中，交易勝率和平均盈虧比必須確保該策略在長期大量交易之後是盈利的，這裡引出另外一個概念“期望值”，期望值是通過大量統計之後用交易勝率和平均盈虧比通過數學公式計算出的一個數值，交易勝率和平均盈虧比越高，該策略的期望值也越高，交易勝率，平均盈虧比，交易頻率三者理論上越高越好，單一提升已經比較困難，想三者同步提升更是難上加難，這也是很多交易員能夠穩健盈利但收益率十分低的原因，我用的期望值的計算公式如下：【勝率*（平均盈利/平均損失）】-（失敗率*1）】得出的數值必須為“正數”，該數值越高越好，但只能做為一個理論參考值。 二.資金管理： 聊完了交易策略之後現在我們回到交易系統的第二大核心要素資金管理上面，資金管理我的理解其實就是“倉位規模定義方法”，資金管理必須能夠回答以下問題:我們能夠開多大倉位？我們能夠虧損多少？以上兩個問題必須是準確數值，不能是理論數值，這和每個交易者的資金情況不一樣，和心理承受能力也不一樣。資金管理的方法比較多，適合自己交易系統的方法才是最好的，但其核心作用是使我們能夠在市場上長期生存，徹底排除除賬戶歸0的風險也叫“破除破產風險”並且盈利時能夠擴大我們的收益。 三.個人心理： 個人心理是通過大量交易之後，確保我們的交易策略和資金管理都建立在科學的基礎之上，即“正期望值的交易策略，我們所採用的資金管理也能夠徹底破除破產風險",內心能夠使我們真正堅定執行該交易系統的一種心理支柱，沒有該心理支柱的支撐，即使是再好的交易系統拿到我們手中也很難做到堅定不移的執行，這也是購買別人的交易系統的不靠譜之處，更何況市場上出售的不一定是能夠穩健盈利的系統，個人心理支柱只能在開發交易系統和測試統計交易系統還有大量的交易過程之中慢慢形成，聽別人說，看書，复盤等等方法個人覺得作用微乎其微... 個人認為一套合理的交易系統主要包含以下學科：數學，概率論，統計學及個人心理學。 “市場無聖經，盈利必須建立在科學的基礎之上”... 如果您贊同我的觀點，請點贊，評論，擴散，不勝感激。 祝君交易愉快！
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教育
8
交易績效心理學：第1篇越是艱辛的成功，來得越是榮耀。熟練的飛行員在穿越狂風暴雨中獲得榮譽 - 愛比克泰德。 大家好！👋 本週，我們認為深入探討一個不太常見的話題會很有趣：績效心理學 – 並討論它與交易的關係。 具體來說，我們將研究以下問題：究竟是什麼讓一位交易者表現出色？ 從流程的角度來看，有抱負的交易者可以從其他績效學科（如體育運動）中獲取很多東西，以便更好地了解他們想要達到的目標的必要步驟。讓我們開始吧！ 時間是專業知識的共同要素 ⏰ 精通是隨著時間的推移而建立的。首先透過探索，然後是知識建構，再來是充分的練習。 為了精通而投入了大量時間和精力，個人通常會在情感上與該領域建立聯繫，從而建立長期關係。 幾乎所有表現出色的交易者都表現出對交易本身固有的、內在的熱愛。這意味著熱愛分析圖表、制定策略、觀察市場，並試圖在腦海中將這些碎片拼湊在一起。在這個框架中 - 交易不是一份工作，它是一門 手藝 。如果您只是喜歡地位、生活方式或收入，那麼您很可能無法達到這個職業的真正高度。表現最好的交易者花費數小時進行交易；不是因為他們想要，而是因為他們喜歡。 尋找利基市場 ❤️ 偉人不是靠努力才變得偉大；他們努力工作是因為他們找到一個偉大的利基市場：一個能夠激發他們的才能、興趣和想像力的領域。沒有好的利基市場，世界上最好的投手也可能會成為一個糟糕的擊球手。 如果您剛開始您的旅程（或迷失方向），則需要考慮的事情是嘗試找到真正引起讓您共鳴的利基市場。由於醫院和銀行有輪調制度，讓新人可以接觸不同類型的經驗，因此他們非常重視其他職業和金融機構的利基市場。 那麼，為什麼個人交易者不這樣做呢？集中思考為自己建構一個輪調計畫是一個不錯的方法。這是最受歡迎的資產類別和交易風格的列表。您可以google搜尋，或者在TradingView上尋找交易想法，看看什麼最能引起您的共鳴。日復一日地尋找，實際找到自己喜歡做的事情，來為自己的長期規劃做好準備。 流動資產類別： -股票 -貨幣 -加密貨幣 -期貨 -固定收入 -波動性 風格（時間週期）： -當沖 - 持有時間為幾秒到幾小時 -波段 - 持有時間為數天至數週 -長線 - 持有時間為數週至數月 哪種控股風格適合你？你喜歡學習什麼主題？ 學習過程 ✅ 在交易和生活中，我們經常聽到「熟能生巧」。更好的說法可能是「充分的練習成就完美」。練習時間是如何規劃的，這決定了擁有五年經驗的表演者和擁有一年經驗但重複練習五次表演者之間的差異。 所以，應該如何規劃您的練習？ 在績效心理學中，有一個概念被稱為「學習循環」。它有三個部分。 績效 -> 反饋 -> 學習（重複）。 這是很重要的，因為反饋是改進的關鍵。交易是一項單獨的運動，這代表著如何整合反饋的過程是很關鍵的。 盈利/虧損是反饋，但單獨作為您的反饋機制可能會出現一些問題。即使是最好的交易、最優秀的交易者，在任何一天裡也可能處於差異的另一邊。過程是最重要的。在盈利/虧損無關的績效中獲取反饋，這樣您可以追蹤決策的輸入。有些交易者做大量筆記、有些記錄他們的螢幕、有些則記錄與盈利/虧損無關的數據點（睡眠時間、水合作用、情緒等）。 （我們在圖表中內建了一個筆記功能，您可以將其用於此目的。） 如果您將這些項目收集在一起，為建構一個長期的精通藍圖，它應該看起來像這樣： 1.) 找出您真正喜歡交易的地方 2.) 更深入地探索它 3.) 隨著時間的推移堅持下去，讓發自內心的快樂鼓勵您度過起伏 4.) 以這樣一種方式規劃您在這段時間內的績效，這樣您就可以為自己產生反饋 5.) 結合反饋以不斷改進您的流程。讓學習循環成為您長期績效的發動力。 - 希望您喜歡，祝您愉快！ - TradingView團隊
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Pine腳本

Sector RotationThis script is attempt to create and observe the real-time and historical performance of the all major sectors of Indian Market in one screen. for Data Presentation I used Short sector names so that I can manage to get space and efficient presentable data. Short Names and Actual Sector Names BNF : CNX-BANKNIFTY IT : CNX-IT PRMA : CNX - PHARMA FMCG : CNX-FMCG AUTO : CNX-AUTO MTAL : CNX-METAL MDIA : CNX-MEDIA RLTY : CNX-REALTY IFRA : CNX-INFRA ENGY : CNX-ENERGY PSU-B : CNX-PSU-BANK PVT-B : NIFTY-PVT-BANK F-SRV : CNX-FINANCE CONSM : CNX-CONSUMPTION C-DUBL : NIFTY_CONSR_DURBL You can use this script in 30-min, Daily, Weekly and Monthly Time Frames. The green Square denotes the current Symbol Performance. The Blue Border boxes are created when one sector intersects other sector .
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Pine Script™指標
15
Black Scholes Option Pricing Model w/ Greeks [Loxx]The Black Scholes Merton model If you are new to options I strongly advise you to profit from Robert Shiller's lecture on same . It combines practical market insights with a strong authoritative grasp of key models in option theory. He explains many of the areas covered below and in the following pages with a lot intuition and relatable anecdotage. We start here with Black Scholes Merton which is probably the most popular option pricing framework, due largely to its simplicity and ease in terms of implementation. The closed-form solution is efficient in terms of speed and always compares favorably relative to any numerical technique. The Black–Scholes–Merton model is a mathematical go-to model for estimating the value of European calls and puts. In the early 1970’s, Myron Scholes, and Fisher Black made an important breakthrough in the pricing of complex financial instruments. Robert Merton simultaneously was working on the same problem and applied the term Black-Scholes model to describe new generation of pricing. The Black Scholes (1973) contribution developed insights originally proposed by Bachelier 70 years before. In 1997, Myron Scholes and Robert Merton received the Nobel Prize for Economics. Tragically, Fisher Black died in 1995. The Black–Scholes formula presents a theoretical estimate (or model estimate) of the price of European-style options independently of the risk of the underlying security. Future payoffs from options can be discounted using the risk-neutral rate. Earlier academic work on options (e.g., Malkiel and Quandt 1968, 1969) had contemplated using either empirical, econometric analyses or elaborate theoretical models that possessed parameters whose values could not be calibrated directly. In contrast, Black, Scholes, and Merton’s parameters were at their core simple and did not involve references to utility or to the shifting risk appetite of investors. Below, we present a standard type formula, where: c = Call option value, p = Put option value, S=Current stock (or other underlying) price, K or X=Strike price, r=Risk-free interest rate, q = dividend yield, T=Time to maturity and N denotes taking the normal cumulative probability. b = (r - q) = cost of carry. (via VinegarHill-Financelab ) Things to know This can only be used on the daily timeframe You must select the option type and the greeks you wish to show This indicator is a work in process, functions may be updated in the future. I will also be adding additional greeks as I code them or they become available in finance literature. This indictor contains 18 greeks. Many more will be added later. Inputs Spot price: select from 33 different types of price inputs Calculation Steps: how many iterations to be used in the BS model. In practice, this number would be anywhere from 5000 to 15000, for our purposes here, this is limited to 300 Strike Price: the strike price of the option you're wishing to model % Implied Volatility: here you can manually enter implied volatility Historical Volatility Period: the input period for historical volatility ; historical volatility isn't used in the BS process, this is to serve as a sort of benchmark for the implied volatility , Historical Volatility Type: choose from various types of implied volatility , search my indicators for details on each of these Option Base Currency: this is to calculate the risk-free rate, this is used if you wish to automatically calculate the risk-free rate instead of using the manual input. this uses the 10 year bold yield of the corresponding country % Manual Risk-free Rate: here you can manually enter the risk-free rate Use manual input for Risk-free Rate? : choose manual or automatic for risk-free rate % Manual Yearly Dividend Yield: here you can manually enter the yearly dividend yield Adjust for Dividends?: choose if you even want to use use dividends Automatically Calculate Yearly Dividend Yield? choose if you want to use automatic vs manual dividend yield calculation Time Now Type: choose how you want to calculate time right now, see the tool tip Days in Year: choose how many days in the year, 365 for all days, 252 for trading days, etc Hours Per Day: how many hours per day? 24, 8 working hours, or 6.5 trading hours Expiry date settings: here you can specify the exact time the option expires The Black Scholes Greeks The Option Greek formulae express the change in the option price with respect to a parameter change taking as fixed all the other inputs. ( Haug explores multiple parameter changes at once .) One significant use of Greek measures is to calibrate risk exposure. A market-making financial institution with a portfolio of options, for instance, would want a snap shot of its exposure to asset price, interest rates, dividend fluctuations. It would try to establish impacts of volatility and time decay. In the formulae below, the Greeks merely evaluate change to only one input at a time. In reality, we might expect a conflagration of changes in interest rates and stock prices etc. (via VigengarHill-Financelab ) First-order Greeks Delta: Delta measures the rate of change of the theoretical option value with respect to changes in the underlying asset's price. Delta is the first derivative of the value Vega: Vegameasures sensitivity to volatility. Vega is the derivative of the option value with respect to the volatility of the underlying asset. Theta: Theta measures the sensitivity of the value of the derivative to the passage of time (see Option time value): the "time decay." Rho: Rho measures sensitivity to the interest rate: it is the derivative of the option value with respect to the risk free interest rate (for the relevant outstanding term). Lambda: Lambda, Omega, or elasticity is the percentage change in option value per percentage change in the underlying price, a measure of leverage, sometimes called gearing. Epsilon: Epsilon, also known as psi, is the percentage change in option value per percentage change in the underlying dividend yield, a measure of the dividend risk. The dividend yield impact is in practice determined using a 10% increase in those yields. Obviously, this sensitivity can only be applied to derivative instruments of equity products. Second-order Greeks Gamma: Measures the rate of change in the delta with respect to changes in the underlying price. Gamma is the second derivative of the value function with respect to the underlying price. Vanna: Vanna, also referred to as DvegaDspot and DdeltaDvol, is a second order derivative of the option value, once to the underlying spot price and once to volatility. It is mathematically equivalent to DdeltaDvol, the sensitivity of the option delta with respect to change in volatility; or alternatively, the partial of vega with respect to the underlying instrument's price. Vanna can be a useful sensitivity to monitor when maintaining a delta- or vega-hedged portfolio as vanna will help the trader to anticipate changes to the effectiveness of a delta-hedge as volatility changes or the effectiveness of a vega-hedge against change in the underlying spot price. Charm: Charm or delta decay measures the instantaneous rate of change of delta over the passage of time. Vomma: Vomma, volga, vega convexity, or DvegaDvol measures second order sensitivity to volatility. Vomma is the second derivative of the option value with respect to the volatility, or, stated another way, vomma measures the rate of change to vega as volatility changes. Veta: Veta or DvegaDtime measures the rate of change in the vega with respect to the passage of time. Veta is the second derivative of the value function; once to volatility and once to time. Vera: Vera (sometimes rhova) measures the rate of change in rho with respect to volatility. Vera is the second derivative of the value function; once to volatility and once to interest rate. Third-order Greeks Speed: Speed measures the rate of change in Gamma with respect to changes in the underlying price. Zomma: Zomma measures the rate of change of gamma with respect to changes in volatility. Color: Color, gamma decay or DgammaDtime measures the rate of change of gamma over the passage of time. Ultima: Ultima measures the sensitivity of the option vomma with respect to change in volatility. Dual Delta: Dual Delta determines how the option price changes in relation to the change in the option strike price; it is the first derivative of the option price relative to the option strike price Dual Gamma: Dual Gamma determines by how much the coefficient will changedual delta when the option strike price changes; it is the second derivative of the option price relative to the option strike price. Related Indicators Cox-Ross-Rubinstein Binomial Tree Options Pricing Model Implied Volatility Estimator using Black Scholes Boyle Trinomial Options Pricing Model
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Pine Script™指標
5
TPO Market Profile [Kioseff Trading]REPOST; SCRIPT WORKS!! Due to technical error, this script was republished! Thank you for your support (: Hello! This indicator comprises a real time TPO Market Profile! The script works on any timeframe 1 second or greater - the script calculates relative to the timeframe selected for your chart. The image above shows the 1-minute BTCUSD chart; 650 +/- tick levels are set. To see the script in full functionality - try using bar replay on a cryptocurrency 1-minute chart (start at the beginning of a regular hours session). Be sure to adjust the tick spread if necessary (: So far, the script's held up in real time - I've not had any array loop errors or timeouts. The TPO profile updates accordingly with changes in time / high and low prices. Letters are appended to the profile in real time. The image above shows configurations for the indicator. I plan to update the indicator quite a bit over the coming days - more to come. You can select the timeframe change the indicator accounts for. For instance, you can have set the indicator to reset every day, every 30 minutes, every 5 minutes, every week, month, etc. In the image above, I configured the indicator to recalculate every 3 months. Consequently, the indicator will record a TPO profile for three consecutive, reset, then record a TPO profile for the next 3 months. This setting makes the indicator compatible with any timeframe greater than 1 minute. You can also use a drag & drop time-start bar to modify the starting point for the market profile TPO calculation. The indicator hosts an option to auto calculate the tick spread between levels. However, as you switch timeframes and assets, sometimes, you'll have to manually set the tick range (: Thanks for checking it out; more to come! Sep 4 Release Notes: UPDATE: The indicator can work on seconds-based charts. The image above shows the indicator working on the 1-second chart. (Screenshot is old; characters are now numbered instead of strange unicode) Release Notes: Added value area + vah + val. Font update. Changed characters to numbered once the alphabet is exhausted. POC, VAH, and VAL label located left of the first bar of the interval. Initial balance range can be toggled. Spaced the characters (more legible). Quite a bit of aesthetic changes so check it out! Soon, I'll release a version of the script that shows VAH, POC, VAL, and TPO letters from previous sessions. I coded this feature into this indicator; however, it was removed due to load time complications. This feature will be its own script (: If the script has trouble loading please let me know (:
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Pine Script™指標
7
Tick StatisticsTick Statistics: I have seen many questions/queries related to tick data in TV telegram channels. This script will help pine scripts to understand how ticks work, how to capture and process tick data. This is an educational indicator script for pine scripters. The indicator shall work only on real time candles. Tick data capture is initiated as soon as indicator is loaded on the chart. You might not get correct statistics on 1st candle in case indicator is loaded when real time candle is in progress, in such case you can monitor the statistics generated for subsequent candles. Generated statistics is shown on the chart by placing 2 diamond shapes above and below the candle. Diamond shape below the candle will have candles ‘tick data’ listed in a table. This can be view by placing mouse pointer on the diamond shape. Refer to point 1 below for more details. Diamond shape above the candle will have statistics as mentioned in point no 2 onwards. To view the statistics place the mouse point on the diamond shape. The shape will appear in green color when both tick price and tick volume are both moving in the same direction. The diamond shape in red color means tick price and tick volume are moving in opposite direction. The script captures tick by tick data and generate statistics below: 1. List of tick data with details below: (this is stored in the diamond shape placed below the candle) a. Tick no b. Tick type – Up tick (Up), Down tick (Dn), No change (--) c. Tick price d. Volume e. Price difference (as compared to previous tick price) f. Volume difference (as compared to previous tick volume) 2. Tick statistics a. Total ticks b. Number of up ticks c. Number of down ticks d. Number of No change ticks 3. Volume Statistics a. Total volume b. Up tick volume c. Down tick volume d. Volume associated with ticks where there is no change e. Candle volume (just for reconciliation purpose) 4. Max-min statistics a. Max volume = <> at price = <> at tick no = <> b. Min volume = <> at price = <> at tick no = <> c. Max price = <> at volume = <> at tick no = <> d. Min price = <> at volume = <> at tick no = <> 5. Candle summary a. Price << Up >> (if price is up as compared to 1st tick <> otherwise b. Volume <> (if up tick volume is more than down tick volume <> otherwise
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Pine Script™指標
7
Strength of Divergence Across Multiple IndicatorsOverview: One-stop shop for all your divergence needs, including: (1) A single metric for divergence strength across multiple indicators. (2) Labels that make it easy to spot where the truly strong divergence is by showing the overall divergence strength value along with the number of divergent indicators. Hovering over the label shows a breakdown of each divergent indicator and its individual divergence strength value. (3) Fully customizable, including inputs for pivot lengths, divergence types, and weights for every component of the divergence strength calculation. This allows you to quickly and easily optimize the output for any chart. Don't worry, the default settings will have you covered if you're not interested in what's going on under the hood. The Divergence Strength Calculation: The total divergence strength value is the sum of the divergence strengths of all indicators for which divergence was detected at a given bar. Each indicator's individual divergence strength is comprised of two basic components: (1) |ΔPrice| - the magnitude of the change in price over the divergence period (pivot-to-pivot), and (2) |ΔIndicator| - the magnitude of the change in indicator value over the divergence period. Because different indicators' scales and volatility can vary greatly, the Δ values are expressed in terms of standard deviation to ensure that the values are meaningful and equitable across all indicators and assets/instruments/currency pairs, etc: |ΔIndicator| = |indicator_value_1 - indicator_value_2| / 2 * StDev(indicator_series,100) Calculation Weights: All components of the calculation are weighted and can be modified on the Inputs page in settings (weights are simply multipliers). For example, if you think hidden divergence should carry less weight than regular divergence, you can assign it a lesser weight. Or if you think RSI divergence is worth more than OBV divergence, you can adjust their weights accordingly. List of weights: Regular divergence weight - default = 1 Hidden divergence weight - default = 1 ΔPrice weight - default = 0.5 (multiplied by the ΔPrice component) ΔIndicator weight - default = 1.5 (multiplied by the ΔIndicator component) RSI weight - default = 1.1 OBV weight - default = 0.8 MACD weight - default = 0.9 STOCH weight - default = 0.9 Development for additional indicators is ongoing, as is research into the optimal weight configuration(s). Other Inputs: Pivot lengths - specify the number of bars before and after each pivot high/low to consider it a valid candidate for divergence. Lookback bars and Lookback pivots - specify the number of bars or the number of pivots to look back across. Price sources - specify separate price sources for bullish and bearish divergence Display settings - specify how lines and labels should display, including which divergence strength values should show the largest labels. Include/exclude specific divergence types and indicators. Please report any bugs, or let me know if you have any enhancement suggestions or requests for additional indicators. @reees
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Pine Script™指標
53
RSI Past Can Turn RSI Into a Directional ToolThe Relative Strength Index was created by J. Welles Wilder to measure overbought and oversold conditions. It’s also found popularity as an overall measure of direction because upward-trending stocks often hit overbought conditions. The opposite can be true with underperformers. Today’s custom script, RSI Past, attempts to capture this secondary use of RSI as a directional indicator. RSI Past achieves this by comparing how many bars have passed since RSI's most recent overbought and oversold readings. It then plots a simple difference between those two numbers. Stocks with “bullish” signals will have positive readings that will increase each time RSI hits an overbought condition. “Bearish” readings are just the opposite, growing more negative as oversold conditions occur. An examination of some individual stocks may show the usefulness of this approach. Meta Platforms , for example, hit an oversold condition almost exactly one year ago, and has remained under heavy selling pressure since: Exxon Mobil , on the other hand, flipped to a bullish reading last October and has trended higher since: This raises some interesting questions for Apple, shown on the main chart above. AAPL’s RSI Past has maintained a bullish reading for over a year -- unlike most other big technology stocks and the broader Nasdaq-100. Could this reflect bigger directional strength, especially with prices holding the $150 level that’s had relevance several times mid-2021? TradeStation has, for decades, advanced the trading industry, providing access to stocks, options, futures and cryptocurrencies. See our Overview for more. Important Information TradeStation Securities, Inc., TradeStation Crypto, Inc., and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., all operating, and providing products and services, under the TradeStation brand and trademark. You Can Trade, Inc. is also a wholly owned subsidiary of TradeStation Group, Inc., operating under its own brand and trademarks. TradeStation Crypto, Inc. offers to self-directed investors and traders cryptocurrency brokerage services. It is neither licensed with the SEC or the CFTC nor is it a Member of NFA. When applying for, or purchasing, accounts, subscriptions, products, and services, it is important that you know which company you will be dealing with. Please click here for further important information explaining what this means. This content is for informational and educational purposes only. This is not a recommendation regarding any investment or investment strategy. Any opinions expressed herein are those of the author and do not represent the views or opinions of TradeStation or any of its affiliates. Investing involves risks. Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options, futures, or digital assets); therefore, you should not invest or risk money that you cannot afford to lose. Before trading any asset class, first read the relevant risk disclosure statements on the Important Documents page, found here: www.tradestation.com .
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Pine Script™指標
4
ABC 123 Harmonic Ratio Custom Range Interactive█ OVERVIEW This indicator was designed based on Harmonic Trading : Volume One written by Scott Carney. This is about harmonic ratios which expanded through retracement and projection. Derivation is pretty much explained here such as Primary, Primary Derivation, Secondary Derivation and Secondary Derivation Extreme. Derivation value depends on minimum retracement or maximum projection. This derivation value utilize Fibonacci value which later expand to Harmonic Ratio. █ INSPIRATION Inspired by design, code and usage of CAGR . Basic usage of custom range / interactive, pretty much explained here . Credits to TradingView. This build is based and visualized upon Harmonic Trading Ratios. This build also was stripped down from XABCD Harmonic Pattern Custom Range Interactive . █ CREDITS Scott Carney, Harmonic Trading : Volume One (Page 18) █ FEATURES Table can positioned by any position and font size can be resized. Labels can be either changed to alphabets or numbers. █ HOW TO USE Draw points from Point A to Point C. Dont worry about magnet, point will attached depends on High or Low of the candle. █ USAGE / TIPS EXAMPLES (Description explained in each image)
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Pine Script™指標
3
Machine Learning: kNN (New Approach)Description: kNN is a very robust and simple method for data classification and prediction. It is very effective if the training data is large. However, it is distinguished by difficulty at determining its main parameter, K (a number of nearest neighbors), beforehand. The computation cost is also quite high because we need to compute distance of each instance to all training samples. Nevertheless, in algorithmic trading KNN is reported to perform on a par with such techniques as SVM and Random Forest. It is also widely used in the area of data science. The input data is just a long series of prices over time without any particular features. The value to be predicted is just the next bar's price. The way that this problem is solved for both nearest neighbor techniques and for some other types of prediction algorithms is to create training records by taking, for instance, 10 consecutive prices and using the first 9 as predictor values and the 10th as the prediction value. Doing this way, given 100 data points in your time series you could create 10 different training records. It's possible to create even more training records than 10 by creating a new record starting at every data point. For instance, you could take the first 10 data points and create a record. Then you could take the 10 consecutive data points starting at the second data point, the 10 consecutive data points starting at the third data point, etc. By default, shown are only 10 initial data points as predictor values and the 6th as the prediction value. Here is a step-by-step workthrough on how to compute K nearest neighbors (KNN) algorithm for quantitative data: 1. Determine parameter K = number of nearest neighbors. 2. Calculate the distance between the instance and all the training samples. As we are dealing with one-dimensional distance, we simply take absolute value from the instance to value of x (| x – v |). 3. Rank the distance and determine nearest neighbors based on the K'th minimum distance. 4. Gather the values of the nearest neighbors. 5. Use average of nearest neighbors as the prediction value of the instance. The original logic of the algorithm was slightly modified, and as a result at approx. N=17 the resulting curve nicely approximates that of the sma(20). See the description below. Beside the sma-like MA this algorithm also gives you a hint on the direction of the next bar move.
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Pine Script™指標
18
Delta Volume Channels [LucF]█  OVERVIEW This indicator displays on-chart visuals aimed at making the most of delta ​volume information. It can color bars and display two channels: one for delta ​volume, another calculated from the price levels of bars where delta ​volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta ​volume in both conditions. █  CONCEPTS Delta Volume ​The ​volume delta concept divides a bar's ​volume in "up" and "down" ​volumes. The delta is calculated by subtracting down ​volume from up ​volume. Many calculation techniques exist to isolate up and down ​volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their ​volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the ​volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available. This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating ​volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. TradingView's Volume Profile and CVD - Cumulative ​Volume Delta Candles indicators use it. Other ​volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise ​volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time. This is the logic I use to assign intrabar ​volume to up or down slots:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's ​volume determined, the up volumes are added and the down volumes subtracted. The resulting value is ​volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument. Delta ​Volume Percent (DV%) This value is the proportion that delta ​volume represents of the total intrabar ​volume in the chart bar. Note that on some symbols/timeframes, the total intrabar ​volume may differ from the chart's ​volume for a bar, but that will not affect our calculations since we use the total intrabar ​volume. Delta ​Volume Channel The ​​DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source. The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's ​volume in relation to previous bars. The effect of this is that DV% values on bars with higher total ​volume will carry greater weight than those with lesser ​volume. The ​DV channel can be in one of four states, each having its corresponding color:  • Bull (teal): The DV%-weighted line is above the reference line.  • Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.  • Bear (maroon): The DV%-weighted line is below the reference line.  • Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling. Divergences In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur. Divergence Channel The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel. Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:  • Bull (teal): Price has breached the channel to the upside.  • Strong bull (lime): The bull condition is fulfilled and the ​DV channel is in the strong bull state.  • Bear (maroon): Price has breached the channel to the downside.  • Strong bear (pink): The bear condition is fulfilled and the ​DV channel is in the strong bear state.  • Neutral (gray): The channel has not been breached. █  HOW TO USE THE INDICATOR Load the indicator on an active chart (see here if you don't know how). The default configuration displays:  • The ​DV channel, without the reference or DV%-weighted lines.  • The Divergence channel, without its level lines.  • Bar colors using the state of the ​DV channel. The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative ​volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations. The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom. No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions. To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it. █  FEATURES The script's inputs are divided into four sections: "DV channel", "Divergence channel", "Visuals" and "Marker/Alert Conditions". DV Channel Here, you specify what you want to use as a reference line: its MA type, source and length. This is the ​DV channel's baseline. The DV%-weighted line will use the same settings, except that it will be calculated from the DV%-weighted source. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative ​volume component of the weight, and choose the selection mode of the lower timeframe used to access intrabars. Divergence Channel This is where you configure the key price values to use in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices. In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it. Visuals You can control here the display and appearance of most of the script's visuals: the reference line, the DV%-weighted line, the ​DV channel, the divergence channels and its levels, bar colors, a divergence mark, the color of markers and the information box which by default appears in the lower left of the chart. Marker/Alert Conditions Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the ​DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions. Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger. Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens. Raw values The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of ​DV, DV%, the combined weight, and the intermediary values used to calculate them. █  INTERPRETATION The aim of the ​DV channel is to provide a visual representation of the buying/selling pressure calculated using delta ​volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals. The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the ​DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price. If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator: At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the ​DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level. █  LIMITATIONS  • Because this script uses intrabars at a lower timeframe than the chart's, its realtime values will only update when a new intrabar completes.   You can see which lower timeframe is used in the script's information box.  • The script will not work on symbols where no ​volume is available. An error will appear when that is the case.  • Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar   and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.   The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs   is where you control how the lower timeframe is calculated from the chart's timeframe. █  NOTES Volume Quality If you use ​volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday ​volume. For Pine Script™ Coders  • This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.  • I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,   namely those I only want to appear in the script's status line and in the Data Window.  • I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual. █  THANKS To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box. To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back. And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
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Pine Script™指標
20
HSV and HSL gradient Tools ( Built-in Drop-in replacement )Library "hsvColor" HSV and HSL Gradient Tool Alternatives and helpers. Demo'd is built-in in the middle with HSL/HSV gradients on top/bottom TODO: Solve for #000000 issue rgbhsv(_col)   RGB Color to HSV Values   Parameters:      _col : Color input (#abc012 or color.name or color.rgb(0,0,0,0))   Returns: values rgbhsv(_r, _g, _b, _t)   RGB Color to HSV Values   Parameters:      _r : Red 0 - 255      _g : Green 0 - 255      _b : Blue 0 - 255      _t : Transp 0 - 100   Returns: values hsv(_h, _s, _v, _a)   HSV colors, Auto fix if past boundaries   Parameters:      _h : Hue Input (-360 - 360) or further      _s : Saturation 0.- 1.      _v : Value 0.- 1.      _a : Alpha 0.- 1.   Returns: Color output hue(_col)   returns 0-359 hue on color wheel   Parameters:      _col :   Returns: 360 degree hue value hsv_gradient(signal, _startVal, _endVal, _startCol, _endCol)   Color Gradient Replacement Function for HSV calculated Gradents   Parameters:      signal : Control signal      _startVal : start color limit      _endVal : end color limit      _startCol : start color      _endCol : end color   Returns: HSV calculated gradient hsl_gradient(signal, _startVal, _endVal, _startCol, _endCol)   Color Gradient Replacement Function for HSV calculated Gradents   Parameters:      signal : Control signal      _startVal : start color limit      _endVal : end color limit      _startCol : start color      _endCol : end color   Returns: HSV calculated gradient
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Pine Script™腳本庫
13

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視頻想法

10/4 標普 多頭吞噬，短線醞釀反彈標普 昨日K收期貨出現低檔「多頭吞噬」、現貨出現「旭日東昇」為底部反轉的K綫訊號，且技術指標也蕴釀短線反彈，反彈的測幅滿足約在3802.25~3883.5，作多止損可設為前波的底點。 免责声明： 我的全部视频都是我个人观点的分享，非投资建议，而且我的想法不一定全部都是正确，大家在做决定前一定要独立思考、仔细评估。我无法为大家的盈利或损失负责。投资有风险，投资需谨慎。
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分析

透過即時的全球數據饋送和頭條新聞了解正在發生的事情。

最高交易量

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漲幅榜

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看看啟發我們社群靈感的#TradingView

Instagram上的TradingView圖表@johnny_muffet

@johnny_muffet

Instagram上的TradingView圖表@bella_tradesurfer

@bella_tradesurfer

Instagram上的TradingView圖表@zuko_carmona

@zuko_carmona

Instagram上的TradingView圖表@notfundamental

@notfundamental

Instagram上的TradingView圖表BigDEUCE @FitradersRick

BigDEUCE @FitradersRick

Instagram上的TradingView圖表@tradingsignalio

@tradingsignalio

Instagram上的TradingView圖表@positivetrading

@positivetrading

Instagram上的TradingView圖表@thetradingfield

@thetradingfield

Instagram上的TradingView圖表@olka_gadzieva

@olka_gadzieva

Instagram上的TradingView圖表@mytradingsetup

@mytradingsetup

Instagram上的TradingView圖表@miahouse9

@miahouse9

Instagram上的TradingView圖表@i_am_mauricee_

@i_am_mauricee_

Instagram上的TradingView圖表@gibsong_mor

@gibsong_mor

Instagram上的TradingView圖表@trade_with_georgef

@trade_with_georgef

Instagram上的TradingView圖表@orestkayd

@orestkayd

Instagram上的TradingView圖表@johndollery

@johndollery

Instagram上的TradingView圖表@swiss_trading_school

@swiss_trading_school

Instagram上的TradingView圖表@olka_gadzieva

@olka_gadzieva

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