Indicator
Indicator
Single Timeframe Multi-EMA Trend Table### Overview
The **Single Timeframe Multi-EMA Trend Table** displays the directional bias of 7 customizable Exponential Moving Averages (EMAs) calculated from a single, higher timeframe of your choice.
This allows traders working on lower execution timeframes (e.g., 1-minute or 5-minute charts) to effortlessly monitor macro trend alignment and EMA support/resistance zones from higher timeframes (e.g., 15m, 1h, or 4h) without switching charts.
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### Key Features
* **Selectable Target Timeframe:** Choose any timeframe (1m, 5m, 15m, 1h, 4h, 1D, etc.) to fetch EMA data from.
* **7 Customizable EMAs:** Define 7 individual EMA lengths (e.g., EMA 9, 20, 50, 100, 150, 200, 800) to monitor full trend structure.
* **Consolidation Detection:** Identifies when price is compressing or trading close to a specific EMA line, marking it as a **RANGE 🟡** state.
* **Clean UI:** Displays chosen timeframe in the table header alongside active EMA lengths and clear color-coded statuses.
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### How to Use
1. **Set Target Timeframe:** In the settings, choose the macro timeframe you want to base your analysis on (e.g., 15m).
2. **Configure EMAs:** Input your preferred EMA lengths.
3. **Gauge Trend Strength:**
* **Full Bullish Alignment:** All or most EMAs show `BULLISH 🟢`.
* **Compression/Ranging:** Multiple EMAs show `RANGE 🟡`, warning of choppy price action. Indicator
Multi-Timeframe Trend & Consolidation Table### Overview
The **Multi-Timeframe Trend & Consolidation Table** is a lightweight dashboard indicator designed to give traders a quick, multi-timeframe overview of the market trend and consolidation status directly on their chart.
Instead of switching between multiple timeframes or cluttering your chart with dozens of moving averages, this tool consolidates trend data across 10 different timeframes into a clean, customizable table.
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### Key Features
* **Multi-Timeframe Analysis:** Monitors **1m, 3m, 5m, 10m, 15m, 1h, 4h, 1D, 1W, and 1M** timeframes simultaneously.
* **Customizable EMA Periods:** Set unique Exponential Moving Average (EMA) lengths for every individual timeframe (e.g., EMA 10 for 1m, EMA 50 for 1h, EMA 200 for 1D).
* **Consolidation Detection:** Built-in threshold logic identifies when price is hovering extremely close to the EMA line, signaling potential range-bound/chop market conditions.
* **Dynamic Table UI:** Displays the specific EMA length assigned to each timeframe directly inside the table for clear tracking. Fully customizable position (Top Right, Bottom Left, etc.) and text sizes.
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### How It Works
The indicator compares the price of each timeframe against its assigned EMA line:
1. **BULLISH 🟢:** Current close price is above the timeframe's EMA (outside the consolidation zone).
2. **BEARISH 🔴:** Current close price is below the timeframe's EMA (outside the consolidation zone).
3. **RANGE 🟡:** Price percentage difference from the EMA is smaller than the set threshold (e.g., within 0.15%), indicating market consolidation or flat movement.
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### How to Use
1. **Trend Alignment:** Look for timeframes aligning in the same direction (e.g., 1h, 4h, and 1D all green) to trade with the macro trend.
2. **Avoiding Chop:** When lower timeframes show `RANGE 🟡`, it indicates low volatility or moving average compression, warning you to avoid breakout trades or wait for confirmation.
3. **Execution Timeframes:** Tune lower timeframes (1m, 3m, 5m) to fast EMAs for scalp setups, while keeping higher timeframes (1D, 1W) on key levels like the 200 EMA.
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### Settings & Inputs
* **EMA Lengths per Timeframe:** Set custom EMA periods for all 10 available timeframes.
* **Enable Consolidation Detection:** Toggle range detection on or off based on your strategy preference.
* **Consolidation Threshold (%):** Adjust the distance percentage between close price and EMA to define a range zone (default is 0.15%).
* **Table Display:** Adjust table placement on your screen and text font size. Indicator
Hyperliquid-Ready Webhook Strategy TemplateMost webhook templates get you 80% of the way there — then your bot double-fills an order at 3am and you learn about the missing 20%. This template IS the missing 20%.
What this is
An open-source strategy template whose real value is the alert payload: a production-grade JSON webhook message with the fields most templates skip. The included strategy (EMA 21/55 cross + RSI filter, ATR-based SL/TP) is a simple demo — swap in your own logic. It happens to test reasonably on BTC 4H, but the point of this script is the plumbing, not the entry logic. Bring your own edge.
The payload — and why each field exists
→ id — unique per event (ticker + timeframe + action + bar time). Your backend treats this as an idempotency key: PulseWire sometimes retries the same alert when your server responds slowly. Dedupe by id (one Redis SET NX) and you'll never double-fill. The action is part of the id so an entry and its exit on the same bar can never collide — a bug I caught in live testing of this exact script.
→ ts — fire-time timestamp via {{timenow}}. Reject alerts older than N seconds so a delayed or replayed webhook can't trade a stale price.
→ secret — replace with a long random token and verify it server-side (or better, HMAC the body). Anyone who finds your webhook URL can POST to it. This field is your lock.
→ reduce_only — true on exits, so a close can never accidentally flip you into a new position if state desyncs.
Also included: leverage and qty fields for your backend (cap leverage server-side too — never trust the client alone), and an on-chart payload preview table so you can eyeball your exact JSON before wiring real money.
Setup (2 minutes)
Add to chart (crypto perps: BTC/ETH/SOL, 15m–4H)
Create alert → condition: this strategy → "Order fills events" → message box: {{strategy.order.alert_message}}
Point the alert's webhook URL at your execution backend or bridge
Works with any PulseWire→exchange webhook bridge. Important: alerts snapshot the script when created — if you edit the code, delete and re-create your alerts.
Who I am
I build custom PulseWire→Hyperliquid execution pipelines (Pine Script v6, non-custodial agent wallets). If you want this wired to live execution or adapted to your strategy, links are in my signature. Strategy
Indicator
EMA 25/68 BIST30 Futures# EMA 25/68 BIST30 Futures
I developed this strategy to test a straightforward and easy-to-understand moving average system on the 15-minute chart of the BIST30 futures contract.
The system monitors crossovers between EMA 25 and EMA 68. A crossover alone is not sufficient to open a position. For a long setup, the highest price of the crossover candle is recorded. For a short setup, the lowest price of the crossover candle is recorded. The signal is confirmed only if price breaks this level within the following four bars. If confirmation does not occur within four bars, the setup is cancelled.
EMA 160 is used solely as a directional filter. Long positions are opened above EMA 160, while short positions are opened below EMA 160. The purpose of this filter is to avoid taking short- and medium-term moving average crossovers against the broader market trend.
If a position has not been stopped out before the end of the session, it is closed at the close of the 17:45 bar, which corresponds to the 18:00 session price. A new position, including one in the opposite direction, cannot be opened on the same bar in which an existing position is closed.
The strategy has been designed so that different parameter settings can be tested for educational and research purposes. Users can change the EMA lengths, the number of confirmation bars, the directional filter and the trailing stop percentage to examine how these variables affect the number of trades, win rate, profit factor and maximum drawdown.
When evaluating parameter changes, users should not focus solely on the highest net profit. It is also important to examine whether neighbouring parameter values produce similar results and whether performance remains consistent across different market periods.
The code avoids calculation methods that could introduce look-ahead bias. The entire entry bar is not treated as price movement that occurred after the position was opened. The trailing stop is calculated using data from a completed bar and becomes active no earlier than the following bar.
Commission and tax on commission are displayed as separate settings. By default, the strategy assumes a commission rate of 0.020% per order leg and a 5% tax applied to the commission. Together, these produce an effective cost of 0.021% per order leg.
If the commission or tax settings are changed, the effective cost per order leg displayed in the table at the top-right corner of the chart must also be entered under Strategy Settings → Properties → Commission.
The strategy was developed for the XU030D1! symbol on a 15-minute chart. Similar results should not be expected on different markets or timeframes. The data source, continuous contract settings, commission, slippage and Bar Magnifier preferences may all affect backtest results.
This strategy is shared for educational and research purposes only. Past performance does not guarantee similar results in the future and should not be used as the sole basis for making investment decisions.
EMA 25/68 BİST30 VADELİ
Bu stratejiyi BIST30 vadeli kontratın 15 dakikalık grafiğinde, mümkün olduğunca sade ve anlaşılır bir hareketli ortalama sistemi denemek için hazırladım.
Sistem EMA 25 ile EMA 68’in kesişmesini takip ediyor. Kesişim tek başına işlem açmak için yeterli değil. Long tarafta cross mumunun en yüksek, short tarafta ise en düşük fiyatı kaydediliyor. Fiyatın bu seviyeyi sonraki dört bar içinde geçmesi halinde sinyal teyit edilmiş sayılıyor. Dört bar içinde teyit gelmezse aday iptal ediliyor.
EMA 160 yalnızca yön filtresi olarak kullanılıyor. Long işlemler EMA 160’ın üzerinde, short işlemler EMA 160’ın altında açılıyor. Amaç, kısa ve orta vadeli ortalama kesişimlerini daha geniş trendin tersine kullanmamak.
Pozisyon seans sonuna kadar stop olmadıysa 17:45 barının kapanışında, yani 18:00 seans fiyatında kapatılır. Pozisyonun kapandığı bar içinde ters yönde yeni pozisyon açılmaz.
Strateji, eğitim ve araştırma amacıyla farklı parametrelerin sonuçlar üzerindeki etkisini incelemeye uygun olacak şekilde ayarlanabilir hazırlanmıştır. EMA uzunlukları, teyit barı sayısı, yön filtresi ve trailing stop oranı değiştirilerek işlem sayısı, kazanma oranı, kâr faktörü ve maksimum düşüş gibi ölçümlerin nasıl değiştiği karşılaştırılabilir. Parametreler değerlendirilirken yalnızca en yüksek net kâra odaklanmak yerine, komşu değerlerde de benzer sonuçların oluşup oluşmadığı ve farklı dönemlerde performansın korunup korunmadığı ayrıca incelenmelidir.
Kodda geleceği görmeye yol açabilecek hesaplama seçenekleri kullanılmadı. Giriş barının tamamı, pozisyon açıldıktan sonra oluşmuş bir fiyat hareketi gibi kabul edilmez. Trail seviyesi tamamlanan barın verileriyle hesaplanır ve en erken sonraki barda çalışır.
Komisyon ve komisyon vergisi ayarlarda ayrı ayrı gösterilir. Varsayılan olarak bacak başına yüzde 0,020 komisyon ve komisyon üzerinden yüzde 5 vergi kabul edilmiştir. Bu ikisinin efektif bacak maliyeti yüzde 0,021’dir. PulseWire’in yerleşik komisyon alanı Pine kodunda dinamik bir inputa bağlanamadığı için bu değer değiştirildiğinde, Strateji Ayarları > Özellikler bölümündeki komisyon oranının da tabloda gösterilen efektif oranla aynı yapılması gerekir.
Strateji XU030D1! üzerinde 15 dakikalık grafik için hazırlanmıştır. Farklı piyasalarda veya zaman aralıklarında aynı sonucu vermesi beklenmemelidir. Bar Magnifier kullanımı, veri kaynağı, sürekli vade ayarları, komisyon ve kayma tercihleri backtest sonuçlarını değiştirebilir.
Bu çalışma eğitim ve araştırma amacıyla paylaşılmıştır. Geçmiş performans gelecekte aynı sonucun alınacağını göstermez ve tek başına yatırım kararı için kullanılmamalıdır.
Strategy
CTZ Cycle Trader + Here's a description positioning this as the upgrade to Cycle Trader v1.6 — it leads with what's new (the Tidewave signal engine and cycle-gating) while covering the cycle framework that carried over.
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**CTZ Cycle Trader + Tidewave** — *the v1.6 cycle engine, now with entry timing built in.*
Cycle Trader v1.6 told you **where** you were in the cycle. This upgrade adds **when to act** — a WaveTrend + RSI reversal engine ("Tidewave") layered directly on top of the cycle framework, so momentum triggers and cycle position work as one tool instead of two.
**What's carried over from v1.6**
The full four-tier cycle model is intact: Daily (DCL), Weekly (WCL), Yearly (YCL) and 4-Year (4YCL) cycle lows, each with its own confirmation logic, cycle counts, and asset-tuned timing windows. The auto-detect presets, the Future Cycle Low Range projection boxes, the due-date forecasting, and the live dashboard all remain — nothing was stripped to make room.
**What's new in this build**
*Tidewave signal engine.* A WaveTrend oscillator confirmed by RSI now prints bull and bear reversal arrows on the chart, with the same timeframe auto-adjustment philosophy as the cycle counts — tighter and more reactive on lower timeframes, more selective on the higher ones. Four marker styles, an adjustable overlay EMA, and independent alerts.
*Cycle-turn gating — the headline feature.* This is what makes the two halves talk to each other. Instead of firing on every momentum cross, Tidewave signals can be filtered to only appear within a set window of a projected cycle turn: **buy signals near cycle lows, sell signals near cycle highs.** The gate reads directly from the live DCL/WCL cycle position, measuring how far through each cycle price sits and only releasing a signal when it lines up with an expected turn. The tolerance is adjustable (default ~1 week on a daily chart), and the whole gate is a single toggle — turn it off for raw signals, on to strip out the mid-cycle noise.
*Cleaner charts by default.* State labels and arcs stay off unless you want them; the signal layer has its own master toggle, so you can run pure cycle analysis, pure signals, or the full combined view.
**Why it matters**
A momentum signal at the wrong point in the cycle is a trap; a cycle low with no trigger is a guess. Gating one with the other is the confluence this build is built around — the cycle tells you the pitch is coming, Tidewave tells you to swing.
*For educational purposes. Not financial advice — always test on your own instruments and timeframes before trading live.*
Indicator
Indicator
Vector Coherence Moving Average (VCMA)Vector Coherence Moving Average (VCMA)
Vector Coherence Moving Average (VCMA) is an adaptive moving average based on the directional alignment of recent price-change vectors. It is intentionally presented as a thin, fixed-color line.
VCMA adjusts its smoothing speed according to two questions: Are recent price changes pointing in a consistent direction? Is that consistency supported by several meaningful moves rather than one isolated event? Strong, well-supported alignment makes the average more responsive. Weak or poorly supported alignment keeps it closer to its slow response.
How VCMA Is Calculated
1. Delay-Coordinate Price Path
VCMA first calculates the bar-to-bar change in the selected Source:
d(t) = Source(t) - Source(t-1)
It then represents price as a point on a two-dimensional delay-coordinate path:
X(t) =
Moving from X(t-1) to X(t) creates the lag vector:
z(t) = X(t) - X(t-1) =
Magnitude(t) = sqrt
During persistent movement, these vectors tend to point in similar directions. During back-and-forth movement, they point in conflicting directions and cancel when summed.
2. Vector Coherence
Over the selected Coherence Length, VCMA compares the straight-line displacement of this path with the total distance it traveled. Equivalently, it compares the length of the summed vector with the sum of all individual vector lengths:
rho = sqrt / Sum sqrt
In this form, rho is a two-dimensional path-efficiency, or straightness, ratio.
The triangle inequality keeps rho between 0 and 1:
• rho near 1 - recent lag vectors are strongly aligned
• rho near 0 - vector directions largely cancel
Both parts of the ratio scale with price movement, so vector coherence is independent of the instrument's nominal price level.
3. Effective-Move Support
A single large move can produce high coherence simply because little else opposes it. VCMA therefore calculates an effective sample size from vector magnitudes:
Effective Moves = (Sum Magnitude)^2 / Sum Magnitude^2
This is a participation measure rather than a literal count of bars. It is low when one move dominates and rises when several moves contribute meaningful magnitude.
Support = Clamp
With the default target of 3, VCMA requires broader support before using the full coherence signal. This reduces immediate maximum-speed reactions to an isolated gap, spike, or wick.
4. Adaptive Alpha
The Fast and Slow periods define the response limits of the recursive average. The script automatically treats the shorter input as Fast and the longer input as Slow:
Fast Alpha = 2 / (Fast Period + 1)
Slow Alpha = 2 / (Slow Period + 1)
Speed Gate = rho^Coherence Power x Support
Adaptive Alpha = Slow Alpha + (Fast Alpha - Slow Alpha) x Speed Gate
Raw VCMA = Previous Raw VCMA + Adaptive Alpha x (Source - Previous Raw VCMA)
Alpha always remains between the selected Slow and Fast values. Coherence Power shapes the transition: higher values require rho to move closer to 1 before VCMA accelerates substantially.
5. Output WMA
The displayed line is a weighted moving average of the raw adaptive result:
VCMA = WMA(Raw VCMA, Output WMA Length)
The default 3-period WMA reduces small residual turns while adding only modest lag. Set the length to 1 to display the unsmoothed adaptive core.
The Mathematical Idea
VCMA introduces a distinctive adaptive-moving-average construction that extends one-dimensional price-path efficiency into a two-dimensional delay-coordinate path and adds an effective-move gate to reduce acceleration caused by isolated shocks.
The delayed price points X(t) = form a path whose steps are the vectors . The coherence ratio is the path's net displacement divided by its total traveled distance. It therefore measures how straight and directionally consistent the recent delayed path has been. Unlike a one-dimensional ratio, it can also respond to irregular relationships between adjacent price changes, even when those changes share the same sign.
The effective-move gate adds an additional test for concentration. Vector coherence measures directional agreement; effective-move support measures whether that agreement is distributed across enough movement. VCMA accelerates only when both conditions support the change.
This gives VCMA a causal, scale-free, and bounded adaptive core. It does not project price forward, and the final WMA uses only positive weights. Like every moving average, VCMA still has lag. Its purpose is to vary that lag according to the observed structure of the price path.
Characteristics and Advantages
• Clean fixed-color presentation with no embedded trend classification
• Scale-free vector-coherence measurement
• Bounded response between interpretable Fast and Slow periods
• Reduced sensitivity to isolated high-coherence shocks
• Adjustable nonlinear response through Coherence Power
• Optional short WMA for a steadier final line
• Internal diagnostics available in PulseWire's Data Window
How to Read VCMA
VCMA uses one fixed color; color carries no directional or regime meaning. Read the line through its slope, its position relative to price, and the way price behaves around it.
Slope
A rising VCMA indicates that the adaptive baseline is moving higher. A falling VCMA indicates that it is moving lower. A flattening line suggests that recent directional progress is weakening or becoming less consistent.
Price Position
Price holding above a rising VCMA supports a bullish trend interpretation. Price holding below a falling VCMA supports a bearish interpretation. The combination of price position and slope is more informative than either observation alone.
Distance and Crossings
A widening distance between price and VCMA can reflect strong momentum, but it may also indicate extension from the adaptive baseline. Pullbacks toward VCMA can provide trend context when market structure remains intact. Repeated crossings usually indicate unsettled or range-bound movement where a moving-average baseline has less value.
Data Window Diagnostics
• VCMA Coherence Score - raw vector coherence multiplied by move support
• VCMA Raw Vector Coherence - directional alignment before the support gate
• VCMA Effective-Move Support - how broadly vector magnitude is distributed
• VCMA Adaptive Alpha - the smoothing coefficient used by the raw core
High raw coherence with low support often means that one dominant event has not yet received enough support from other moves. High coherence and high support allow alpha to move toward its Fast limit.
Understanding the Settings
Source
Selects the price series used by VCMA. The default is Close.
Coherence Length
Controls the window used to measure vector alignment. Shorter values adapt sooner; longer values evaluate a broader path and usually change more gradually.
Fast Period and Slow Period
Define the fastest and slowest possible responses. A shorter Fast Period increases maximum responsiveness. A longer Slow Period makes VCMA more conservative when coherence or support is weak.
Coherence Power
Higher values suppress medium coherence more strongly and reserve fast responses for readings closer to 1. Lower values produce a softer, earlier acceleration.
Effective Moves for Full Speed
Sets how much distributed movement is required for full support. Higher values reject isolated movement more strongly but may delay acceleration at the beginning of a genuine trend.
Output WMA Length
Controls final smoothing. Higher values produce a steadier line with more lag. A value of 1 disables this stage.
Practical Use
VCMA can serve as an adaptive trend baseline, a pullback reference, a directional filter, or a mathematical building block beside other indicators. Its minimal presentation is useful when the trader wants to interpret the average directly rather than rely on built-in state colors or crossover logic.
VCMA does not predict future price or eliminate whipsaws. Settings should be matched to the instrument, timeframe, and intended holding period, with price structure, volatility, volume, and higher-timeframe context used as additional evidence.
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Vector Coherence Moving Average (VCMA)
Vector Coherence Moving Average (向量一致性移動平均線) 是以近期價格變化向量之方向一致性為基礎的自適應移動平均線。它刻意保持簡潔，使用固定顏色的細線。
VCMA 會根據兩個問題調整平滑速度：近期價格變化是否朝向一致方向？這種一致性是否得到多個具實質幅度的移動支持，而不是只來自單一事件？方向一致而且支持充分時，VCMA 會提高反應速度；任何一項偏弱，反應便會靠近 Slow 設定。
VCMA 如何計算
1. 延遲座標價格路徑
VCMA 先計算所選 Source 每根 K 線的價格變化：
d(t) = Source(t) - Source(t-1)
然後把價格表示為二維延遲座標路徑上的一個點：
X(t) =
由 X(t-1) 移動至 X(t) 時，便會形成滯後向量：
z(t) = X(t) - X(t-1) =
Magnitude(t) = sqrt
方向持續時，這些向量通常朝向相近方向；價格來回移動時，向量方向互相矛盾，加總後便會抵消。
2. 向量一致性
在 Coherence Length 所設定的週期內，VCMA 比較這條路徑的直線位移與實際行走總距離。等價地說，就是比較「向量總和的長度」與「所有個別向量長度的總和」：
rho = sqrt / Sum sqrt
以這種形式理解，rho 就是二維路徑效率，亦即路徑直線度的比率。
根據三角不等式，rho 會保持在 0 至 1 之間：
• rho 接近 1 - 近期滯後向量方向高度一致
• rho 接近 0 - 向量方向大部分互相抵消
分子與分母都會隨價格變化幅度按比例改變，因此向量一致性不受商品名義價格水平影響。
3. 有效移動支持度
單一大幅移動也可能產生偏高的一致性，因為沒有其他向量與它抵消。VCMA 因此利用向量幅度計算有效樣本數：
Effective Moves = (Sum Magnitude)^2 / Sum Magnitude^2
這是參與程度的量度，不是 K 線數量的直接計數。當一個移動佔據大部分幅度時，數值偏低；當多個移動都有實質貢獻時，數值便會上升。
Support = Clamp
預設目標為 3，VCMA 需要較廣泛的支持才會完整採用一致性訊號。這可減少單一裂口、急升急跌或影線令平均線立即切換至最高速度的情況。
4. 自適應 Alpha
Fast 與 Slow 週期定義遞迴平均線的反應上下限。程式會自動把較短輸入視為 Fast，較長輸入視為 Slow：
Fast Alpha = 2 / (Fast Period + 1)
Slow Alpha = 2 / (Slow Period + 1)
Speed Gate = rho^Coherence Power x Support
Adaptive Alpha = Slow Alpha + (Fast Alpha - Slow Alpha) x Speed Gate
Raw VCMA = Previous Raw VCMA + Adaptive Alpha x (Source - Previous Raw VCMA)
Alpha 始終保持在所選的 Slow 與 Fast 數值之間。Coherence Power 控制轉換曲線；數值越高，rho 越需要接近 1，VCMA 才會明顯加速。
5. 輸出 WMA
圖表上的線條是原始自適應結果的加權移動平均：
VCMA = WMA(Raw VCMA, Output WMA Length)
預設的 3 週期 WMA 可減少細微轉折，同時只加入有限延遲。設為 1，即可顯示未經額外平滑的自適應核心。
數學設計
VCMA 採用一種具辨識度的自適應移動平均線結構：把一維價格路徑效率延伸為二維延遲座標路徑，並加入有效移動閘門，以降低孤立價格衝擊造成的加速。
延遲價格點 X(t) = 形成一條路徑，而 就是路徑上的每一步。向量一致性比率等於路徑的淨位移除以實際行走總距離，因此可衡量近期延遲路徑有多筆直，以及方向有多一致。與一維比率不同，即使價格變化方向相同，若相鄰變化之間的關係反覆而不規則，這個二維比率仍可作出區分。
有效移動閘門再加入集中度檢查。向量一致性衡量方向是否配合；有效移動支持度則衡量這種配合是否分布於足夠的移動。只有兩項條件同時成立，VCMA 才會加快。
這個自適應核心只使用當前及過往資料，不受價格尺度影響，而且 Alpha 有明確上下限。它不會向前投射價格，最後的 WMA 亦只使用正權重。VCMA 仍然是移動平均線，因此必然存在延遲；它的作用是根據已觀察到的價格路徑結構調整延遲。
特性與優點
• 固定顏色的簡潔顯示，不加入內置趨勢分類
• 不受價格尺度影響的向量一致性量度
• 反應速度受具體 Fast 與 Slow 週期限制
• 降低孤立而高一致性的價格衝擊所造成的影響
• 可用 Coherence Power 調整非線性反應
• 可選用短週期 WMA 整理最終線條
• 在 PulseWire Data Window 提供內部診斷數值
如何閱讀 VCMA
VCMA 使用單一固定顏色，顏色不代表方向或市場狀態。閱讀時應觀察線條斜率、價格相對位置，以及價格在 VCMA 附近的行為。
斜率
VCMA 上升，表示自適應基準正在提高；VCMA 下跌，表示基準正在降低。線條逐漸走平，通常代表近期方向進展正在減弱，或價格移動的一致性下降。
價格位置
價格維持在上升 VCMA 之上，可支持多頭趨勢判斷；價格維持在下降 VCMA 之下，可支持空頭判斷。價格位置與線條斜率配合使用，比單獨觀察任何一項更有參考價值。
距離與穿越
價格與 VCMA 的距離擴大，可能反映動能增強，也可能表示價格已偏離自適應基準。當市場結構仍然完整，回調至 VCMA 附近可提供趨勢背景。價格反覆穿越 VCMA，通常表示市況反覆或橫行，此時移動平均線基準的參考價值會下降。
Data Window 診斷數值
• VCMA Coherence Score - 原始向量一致性乘以移動支持度
• VCMA Raw Vector Coherence - 未加入支持閘門前的方向一致性
• VCMA Effective-Move Support - 向量幅度的分布廣度
• VCMA Adaptive Alpha - 原始核心實際使用的平滑係數
Raw Vector Coherence 偏高但 Support 偏低，通常代表一次主導事件尚未得到其他移動充分配合。一致性與支持度同時偏高時，Alpha 才可向 Fast 上限移動。
設定說明
Source
選擇 VCMA 使用的價格序列，預設為 Close。
Coherence Length
控制衡量向量一致性的週期。較短數值適應更快；較長數值會評估更廣的價格路徑，變化通常較慢。
Fast Period 與 Slow Period
定義最快及最慢反應。較短的 Fast Period 會提高最大靈敏度；較長的 Slow Period 則會在一致性或支持度偏弱時令 VCMA 更保守。
Coherence Power
較高數值會更強地壓低中等一致性的作用，只在 rho 接近 1 時採用較快反應。較低數值會較早及較平順地提高速度。
Effective Moves for Full Speed
設定完整支持所需的分布程度。較高數值能更強地抑制孤立移動，但也可能延遲真實趨勢初段的加速。
Output WMA Length
控制最終平滑程度。數值越高，線條越穩定，但延遲亦會增加。設為 1 可停用這一層。
實際應用
VCMA 可作為自適應趨勢基準、回調參考、方向過濾器，亦可配合其他指標作為數學基礎線。它不提供內置狀態顏色或交叉邏輯，適合希望直接判讀平均線本身的交易者。
VCMA 不會預測未來價格，也不能消除所有來回穿越。設定應配合商品、時間週期與預計持倉時間，並以價格結構、波動性、成交量及較高時間週期背景作為補充證據。
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Vector Coherence Moving Average（VCMA）
Vector Coherence Moving Average（ベクトル・コヒーレンス移動平均線、VCMA）は、直近の価格変化ベクトルがどの程度同じ方向にそろっているかを基準に、反応速度を調整する適応型移動平均線です。チャート上では、細い単色ラインでシンプルに表示されます。
VCMAは、次の2点をもとに平滑化の速度を調整します。直近の価格変化は一貫した方向を向いているか。その一貫性は単発の値動きではなく、複数の意味のある変動によって支えられているか。方向がそろい、かつ十分な裏付けがあるときは反応を速め、どちらかが弱いときはSlow側の穏やかな反応に近づきます。
VCMAの計算方法
1. 遅延座標上の価格経路
VCMAはまず、選択したSourceについて、各バー間の価格変化を計算します。
d(t) = Source(t) - Source(t-1)
次に、価格を2次元の遅延座標上にある点として表します。
X(t) =
X(t-1)からX(t)への移動によって、次の遅延ベクトルが得られます。
z(t) = X(t) - X(t-1) =
Magnitude(t) = sqrt
方向性のある値動きが続くと、これらのベクトルは似た方向を向く傾向があります。一方、価格が往復するとベクトルの方向が食い違い、合計したときに互いを打ち消します。
2. ベクトル・コヒーレンス
設定したCoherence Lengthの範囲で、VCMAはこの経路の直線変位と、実際にたどった総距離を比較します。これは、合成ベクトルの長さと、各ベクトルの長さの合計を比較することと同じです。
rho = sqrt / Sum sqrt
この形で見ると、rhoは2次元の経路効率、つまり経路の直進性を表す比率です。
三角不等式により、rhoは0から1の範囲に収まります。
• rhoが1に近い - 直近の遅延ベクトルが高い精度で同じ方向にそろっている
• rhoが0に近い - ベクトルの方向が互いに大きく打ち消し合っている
分子と分母はどちらも価格変動の大きさに比例するため、ベクトル・コヒーレンスは銘柄の名目価格水準に左右されません。
3. 有効変動の支持度
単発の大きな変動は、それに逆らう動きがほとんどないだけで、高いコヒーレンスを生む場合があります。そこでVCMAは、ベクトルの大きさから有効サンプルサイズを計算します。
Effective Moves = (Sum Magnitude)^2 / Sum Magnitude^2
これはバー数そのものではなく、どれだけ多くの値動きが実質的に寄与しているかを表す指標です。1つの変動が全体を支配していると低くなり、複数の変動が十分な大きさで寄与すると高くなります。
Support = Clamp
初期設定の目標値は3です。VCMAがコヒーレンス信号を完全に反映するには、複数の値動きによる十分な裏付けが必要になります。これにより、単発のギャップ、急騰・急落、長いヒゲに反応して、ただちに最高速度へ切り替わる動きを抑えます。
4. 適応型Alpha
Fast PeriodとSlow Periodは、再帰型平均線の反応速度の上限と下限を定めます。入力順が逆でも、短い方をFast、長い方をSlowとして自動的に扱います。
Fast Alpha = 2 / (Fast Period + 1)
Slow Alpha = 2 / (Slow Period + 1)
Speed Gate = rho^Coherence Power x Support
Adaptive Alpha = Slow Alpha + (Fast Alpha - Slow Alpha) x Speed Gate
Raw VCMA = Previous Raw VCMA + Adaptive Alpha x (Source - Previous Raw VCMA)
Alphaは常に、選択したSlowとFastの範囲内に収まります。Coherence Powerは速度変化のカーブを調整します。値を大きくするほど、rhoが1に近づかない限り、VCMAは大きく加速しにくくなります。
5. 出力WMA
チャートに表示されるラインは、生の適応結果に加重移動平均を適用したものです。
VCMA = WMA(Raw VCMA, Output WMA Length)
初期設定の3期間WMAは、わずかな追加遅延に抑えながら、小さな折り返しを滑らかにします。Output WMA Lengthを1に設定すると、この追加平滑化を無効にし、生の適応コアを表示できます。
数学的な考え方
VCMAは、1次元の価格経路効率を2次元の遅延座標経路へ拡張し、さらに単発のショックによる過度な加速を抑える有効変動ゲートを組み合わせた、特徴的な適応型移動平均線です。
遅延価格点 X(t) = が1本の経路を形成し、その各ステップがベクトル になります。コヒーレンス比率は、経路の正味変位を実際に移動した総距離で割ったものです。これにより、直近の遅延経路がどれだけ直線的で、方向がどれだけ一貫しているかを測定します。1次元の比率とは異なり、価格変化の符号が同じであっても、隣り合う変化の関係が不規則なら、その違いを捉えることができます。
有効変動ゲートは、さらに寄与の集中度を確認します。ベクトル・コヒーレンスは方向の整合性を測り、有効変動の支持度は、その整合性が十分な数の値動きに分散しているかを評価します。VCMAが加速するのは、両方の条件がそろった場合だけです。
その結果、VCMAの適応コアは現在および過去のデータだけで計算され、価格尺度に依存せず、反応速度にも明確な上下限があります。将来の価格を先取りして投影することはなく、最後のWMAも正の重みだけを使用します。VCMAも移動平均線である以上、遅延そのものは残ります。その目的は、観測された価格経路の構造に応じて、反応遅延の度合いを調整することです。
特徴と利点
• トレンド分類を組み込まない、シンプルな単色表示
• 価格尺度に依存しないベクトル・コヒーレンス測定
• 解釈しやすいFast PeriodとSlow Periodの範囲内で反応
• 単発の価格ショックによる過度な加速を抑制
• Coherence Powerによる非線形反応の調整
• 短期WMAによる任意の最終平滑化
• PulseWireのデータウィンドウで内部診断値を確認可能
チャート上でのVCMAの見方
VCMAは常に1つの固定色で表示され、色そのものに方向や相場状態の意味はありません。ラインの傾き、価格との位置関係、そしてVCMA付近での価格の動きを読み取ります。
傾き
VCMAが上昇している場合は、適応型の基準線が切り上がっていることを示します。下降している場合は、基準線が切り下がっていることを示します。ラインが横ばいに近づく場合は、直近の方向性が弱まっているか、値動きの一貫性が低下している可能性があります。
価格との位置関係
上向きのVCMAより上で価格が推移していれば、強気トレンドの解釈を補強します。下向きのVCMAより下で価格が推移していれば、弱気トレンドの解釈を補強します。価格の位置とラインの傾きを組み合わせる方が、どちらか一方だけを見るよりも有用です。
距離とクロス
価格とVCMAの距離が広がる動きは、強いモメンタムを表す一方で、適応型の基準線から価格が行き過ぎている可能性も示します。市場構造が維持されている場合、VCMA付近への押し目や戻りはトレンド判断の参考になります。価格がVCMAを何度も往復する場合は、方向感が定まっていないかレンジ相場であることが多く、移動平均線を基準にする有効性は低下します。
データウィンドウの診断値
• VCMA Coherence Score - 生のベクトル・コヒーレンスに変動支持度を掛けた値
• VCMA Raw Vector Coherence - 支持ゲートを適用する前の方向整合性
• VCMA Effective-Move Support - ベクトルの大きさがどの程度広く分散しているか
• VCMA Adaptive Alpha - 生の適応コアが実際に使用した平滑化係数
Raw Vector Coherenceが高くてもSupportが低い場合、1つの支配的なイベントに対して、ほかの値動きによる裏付けがまだ不足していることが多いと考えられます。コヒーレンスと支持度がともに高くなると、AlphaはFast側の上限へ近づくことができます。
設定項目
Source
VCMAの計算に使用する価格系列を選択します。初期設定はCloseです。
Coherence Length
ベクトルの整合性を測定する期間を設定します。短くすると適応が速くなり、長くするとより広い価格経路を評価するため、通常は変化が緩やかになります。
Fast PeriodとSlow Period
最速時と最遅時の反応を定めます。Fast Periodを短くすると最大反応速度が上がります。Slow Periodを長くすると、コヒーレンスまたは支持度が弱い場面でVCMAがより慎重に反応します。
Coherence Power
値を大きくすると、中程度のコヒーレンスによる影響をより強く抑え、rhoが1に近い場合にだけ速い反応を許します。値を小さくすると、より早い段階から滑らかに加速します。
Effective Moves for Full Speed
完全な支持度に達するために必要な、値動きの分散度を設定します。値を大きくすると単発の変動をより強く抑えられますが、本物のトレンドが始まった直後の加速も遅れる可能性があります。
Output WMA Length
最終平滑化の強さを設定します。値を大きくするとラインは安定しますが、遅延も増えます。1に設定すると、この平滑化を無効にできます。
実践的な使い方
VCMAは、適応型のトレンド基準線、押し目・戻りの参考線、方向フィルター、またはほかのインジケーターと組み合わせる数学的なベースラインとして利用できます。状態ごとの色分けやクロス判定を内蔵しないため、移動平均線そのものを直接読み取りたい場合に適しています。
VCMAは将来の価格を予測するものではなく、頻繁な往復やダマシを完全に排除することもできません。設定は銘柄、時間足、想定する保有期間に合わせて調整し、価格構造、ボラティリティ、出来高、上位時間足の状況も補足材料として利用してください。
Indicator
Trend Continuation Momentum Detector TCMD v3 — Trend Continuation Momentum Detector
Core Concept
TCMD is a weighted multi-factor momentum scoring system built on Heiken Ashi candles. Instead of one signal triggering everything, it blends five independent measurements of "how strong is this move" into a composite Momentum Score (0–100), then layers state logic, filters, and risk levels on top.
The five scoring factors
Body Expansion (30% weight) — Is this candle's body unusually large? Calculated as HA body / 20-bar avg body, scaled to 0–100.
Wick Quality (25% weight) — Is the move "clean" (no rejection)? The wick opposing the candle's direction is measured as a % of body size — a small opposing wick scores high.
Trend Slope (20% weight) — Is the EMA of HA close actually rising/falling with conviction? EMA slope over slopeLookback bars, normalized by ATR, then multiplied by a sensitivity factor.
Volume (15% weight) — Is volume confirming the move? volume / 20-bar avg volume, scaled.
Z-Score / distance from mean (10% weight) — Is price extended from its own EMA in a statistically meaningful (but not extreme) way? (HA close − EMA) / stdev, scored with a bell-shaped curve peaking around 0.5–2.0 SD and decaying past 3 SD (overextended).
These combine into a weighted average (weights auto-normalize even if they don't sum to 100) to produce momentumScore.
Why Heiken Ashi
HA smooths noise so body size/wick logic reflects sustained pressure rather than single-tick noise — important since body expansion and wick quality are core inputs.
Signal Logic — 5-State Machine
Each confirmed bar is classified as:
STRONG BUY — momentumScore > threshold (default 75) AND bullish HA candle AND clean wick AND body > average AND HA close above EMA AND (optional) close above VWAP AND (optional) delta positive
STRONG SELL — mirror conditions to the downside
BUY / SELL (bias) — looser: HA close vs EMA + VWAP direction + momentumScore ≥ 50, no wick/body purity required
NEUTRAL — none of the above
This state drives everything downstream: candle coloring, markers, warnings, and TP/SL.
"One-Shot + EMA Reset" Entry Logic
The key anti-spam mechanism: a Strong Buy/Sell marker fires once per cycle, then locks. It won't fire again until price pulls back and touches the EMA (low touches EMA resets buy-side, high touches EMA resets sell-side). This stops multiple entry signals stacking up during one continuous trending move — you get one entry, then must wait for a retest before the next is valid.
Warning System
Light Warning (diamond) — Strong Buy/Sell degrades to plain Buy/Sell, same direction, losing steam
Heavy Warning (x-cross) — Strong Buy/Sell degrades to Neutral or flips to the opposite bias — reversal risk
These are degradation alerts for managing an existing position, not new directional entries.
VWAP & Delta as Confirmation Filters
VWAP filter — Strong signals optionally require price on the "correct" side of session VWAP. Most meaningful intraday since VWAP resets each session.
Delta filter — pulls real buy/sell volume from a lower timeframe (default 1-min) and requires it to agree with signal direction. Falls back to candle direction (close vs open) when lower-timeframe data isn't available in deep history.
Mean Reversion (MR) Signal — separate counter-trend logic
MR looks for momentum exhaustion at a statistical extreme, the opposite philosophy from the trend signals. It fires when:
Price is ≥ mrSdThreshold VWAP standard deviations away (default 1.8 ≈ near the 2SD band)
Momentum Score is weak (< mrMomentumMax) and optionally fading vs the prior bar
The current HA body is small (neutral) and its real high/low engulfs the previous candle's body — a rejection pattern
Session warm-up (mrMinBars) and minimum VWAP SD width (mrMinSdPct) guards are satisfied so it doesn't fire on noisy early bars
MR has its own optional dotted TP/SL lines and alerts, independent of trend-following TP/SL.
TP / SL Levels
When a fresh Strong Buy/Sell fires, TP1/TP2/SL are calculated from the signal candle's HA range (high−low), drawn from the next bar's real open:
Long: TP1 = entry + 2×range, TP2 = entry + 4×range, SL = entry − 1.5×range
Short: mirrored
An "Active SL" is tracked internally; if close crosses through it, an SL-hit marker/alert fires and clears the level.
How to Use It in Practice
Check the current state first — Strong Buy/Sell, Buy/Sell, or Neutral — as your top-line read.
Strong Buy/Sell circle = entry trigger. TP/SL lines (if enabled) auto-draw on the next bar's open.
Diamond (light warning) = start thinking about trimming/tightening — momentum easing, direction unchanged.
X-cross (heavy warning) = treat as an exit signal for the prior position, not a new entry.
Consecutive strong bars = move is extended, higher risk of a sharp mean-reversion snap — cross-check against MR triangles.
VWAP Z-Score / SD bands — gauge how stretched price is; MR triangles are your explicit counter-trend cue at extremes.
ATR — elevated/high readings mean volatility regime has shifted; sanity-check your TP/SL multiples still fit the current range.
Delta — cross-check real order flow agrees with the HA/EMA-based signal, useful for scalping confirmation beyond price action alone.
One thing worth flagging for your GC/NQ intraday use: the VWAP filter and MR signal are most meaningful on session-based intraday timeframes given the session-reset VWAP — on higher timeframes or across sessions, those two features lose some of their intended meaning. Indicator
Trend Tide & TriggerTrend Tide & Trigger
Overview
The Trend Tide & Trigger is a comprehensive, all-in-one trading system designed for trend-following and price-action traders. By combining Multi-Timeframe (MTF) EMA alignments, Higher Timeframe Fair Value Gaps (FVG), and advanced dynamic candlestick patterns, this indicator acts as a highly precise sniper, filtering out market noise and pinpointing high-probability entry zones.
Whether you are a scalper, day trader, or swing trader, this script keeps you on the right side of the "Tide" (macro trend) while sniper-targeting the "Trend" (micro price action) for optimal execution.
🌟 Key Features
Multi-Timeframe Trend Alignment: Utilizes Fast, Medium, and Slow EMAs across both your current chart and a higher timeframe. It ensures you are only taking setups that align with the broader market direction.
Smart FVG Detection & Retest Zones: Automatically identifies and plots Bullish and Bearish Fair Value Gaps from a customizable higher timeframe.
Auto-Expiration & Limiters: To keep your chart clean, FVGs will only extend for a user-defined number of bars (Max Extend Bars) and are capped at a maximum count (Max Keep) to prevent clutter.
Touch Detection: Boxes dynamically change color the moment price taps into them, visually confirming the retest.
Advanced Dynamic Patterns & Engulfing: Goes beyond simple engulfing candles. The script scans for complex pullback structures, featuring:
EMA Filter: Ensures FVG setups only trigger if they respect the Fast EMA boundary.
Early Warning & Pre-Setup Alerts: Never miss a trade again. The script can alert you mid-bar as a dynamic pattern is forming, giving you crucial time to open your chart and prepare before the candle closes.
Trading Sessions & Time Filters: Visually highlights up to 3 major trading sessions (e.g., Asian, London, New York) with customizable GMT offsets. You can also restrict script alerts to only trigger during your specific trading hours.
Live Trend Dashboard: A sleek, non-intrusive on-chart table that provides a bird’s-eye view of the EMA trends across 4 different timeframes simultaneously.
Highly Optimized & No-Repaint Options: Features a Use Real-Time Price? toggle. Turn it off for strictly confirmed, no-repaint signals ideal for backtesting, or turn it on for aggressive, real-time scalping. The script is also heavily optimized under the hood to ensure lightning-fast loading times without exhausting system limits.
💡 How to Use (The Trigger Setup)
The Tide: Look at the Trend Dashboard to ensure Higher Timeframes are aligned (e.g., All UP). Pro Tip: A high-quality entry occurs when the EMA lines display a clear, steep slope, indicating strong and undeniable market momentum.
The Zone: Wait for the price to retrace and tap into a Higher Timeframe FVG box (the box will change color).
The Trigger: Wait for a "BUY" or "SELL" Dynamic Engulfing label to print, confirming the rejection.
Execute: Enter the trade strictly at the close of the engulfing candle. Place your Stop Loss (SL) at the extreme wick of the reversal pattern, and set a minimum Take Profit (TP) target of 1:2 Risk-to-Reward (2RR).
Please ensure you thoroughly backtest this system on your preferred assets and timeframes before trading live. The indicator is a powerful tool, but you should always manually verify the overall market context and your trade setup before executing any position. Indicator
Indicator
Technical Summay & Crowd Consensus _ Lite _ Triggon# Technical SUMMARY + Crowd Consensus — Triggon Lite
A single technical-bias reading built from 22 of the most widely-charted tools on the platform, 10 oscillators and 12 moving averages condensed into one consensus percentage, a daily persistent Buy/Sell phase, and one fully transparent trade rule.
## Why this exists
I don't personally trade off technical indicators — I think of them mainly as a liquidity layer the market uses, not a forecasting tool. But in a much larger strategy I run privately (4,000+ lines), I tested using a broad technical-consensus reading as a confirmation filter. It didn't add what I wanted there, so I pulled it out.
What was left, though, was a question worth testing on its own: does the crowd's aggregate technical bias — built from the same handful of indicators almost everyone charts with — actually move *with* price, *against* it, or not at all?
My own prior going in is that it's inverse: that a unanimous, textbook-standard reading looks more like a map of where liquidity (stops, obvious entries) is sitting than a map of where price is actually going. This script is that test, built as its own standalone strategy and released openly so anyone can run the same experiment on their own terms. A "Contrarian Mode" exists in the settings for exactly this purpose. The honest answer is probably regime-dependent rather than a fixed sign — trend-following logic (which is most of what's under the hood here) has real, well-documented edge in sustained trends, and only likely loses to the contrarian read in choppier conditions.
## How it works
- **22 inputs, one vote each.** RSI(14), Stochastic(14,3,3), CCI(20), MACD(12,26,9), Awesome Oscillator, Momentum(10), Williams %R(14), Stochastic RSI(3,3,14,14), Ultimate Oscillator, and Bull/Bear Power, plus EMA and SMA at 10/20/50/100/200, VWMA(20), and HMA(9). Each casts **+1 (Buy)**, **-1 (Sell)**, or **0 (Neutral)** using the same conventional thresholds you'd find in most platforms' built-in "Technicals" ratings — nothing exotic or curve-fit.
-**Votes are tallied** into Buy / Sell / Neutral totals across whichever indicators you leave switched on (every one is individually toggleable).
- **Consensus % is the dominant side's share of *all* enabled indicators — including the neutral ones.** A "70% consensus" reading means 70% of everything you've switched on agrees, not 70% of the indicators that took a side. This matters: a busy, trending market with few neutral readings reaches a high consensus % more easily than a quiet one, even at the same buy-to-sell ratio.
- That percentage maps to **four tiers** — Neutral, Buy/Sell, Strong, Very Strong — against your own thresholds (defaults: 45% / 70% / 85%).
- A **Daily Phase state machine** (intraday charts only) turns that instant reading into something more usable: it holds a persistent Buy or Sell phase through the day, only flipping on a genuine reversal of the dominant side. A neutral reading never breaks an established phase, and the phase resets fresh at the start of each new day.
- An optional **EMA-alignment filter** (length and source both adjustable) only allows longs when the full candle sits above the EMA, and shorts when it sits fully below — a candle straddling the line is skipped either way.
- **A trade fires only when three things line up on a confirmed bar:** the daily phase actually flips, that flip's consensus % clears your chosen threshold, and — if enabled — the EMA filter agrees. Reversals are automatic: the opposite entry closes the open position and opens the new one.
- **The on-chart table shows all of it live:** the headline bias, the exact consensus % and tier, a −100/+100 thermal gauge, the day's phase (with the time it started), your current simulated position and P&L, the oscillator/MA vote split, and — if you turn on "Show Indicator Details" — every individual indicator's own vote as a colored badge.
## Built and tested on
Developed and tuned on **BTC, 30-minute chart**. It's fully open — test it freely on any symbol or timeframe. It has also shown some workable behavior on **BNB**, without any promises beyond that. Please don't assume performance carries over to other assets or timeframes without testing it yourself first.
## This is the Lite build — please read before using
This public release intentionally leaves out a number of the filters, sensitivities, and safeguards used in more advanced private versions. Specifically, it does **not** include:
- **Any position-sizing or capital/risk management.** The backtest applies only a flat **0.05% commission** and nothing else — position sizing defaults to 100% of equity per trade precisely *because* sizing and risk management are intentionally out of scope here. Treat the results as a read on signal quality, not on what a properly risk-managed account would actually return. Adjust position size and add your own risk management in the Properties tab before drawing any conclusions about real-world returns.
- **Extra signal-confirmation or veto filters** beyond the optional EMA alignment.
- **Stop-loss, take-profit, or any exit logic** beyond the automatic reversal on the next opposite signal.
This is by design. The goal is to isolate one idea — the technical-consensus / contrarian question above — cleanly enough to test, not to hand you a plug-and-play, fully risk-managed system.
## Disclaimer
This script is for research and educational purposes only and is not financial advice. It is not a recommendation to buy, sell, or hold any asset. Backtested results are hypothetical, do not reflect real trading conditions (liquidity, slippage beyond what's modeled, exchange downtime, order-execution differences, and more), and past performance — simulated or real — is no guarantee of future results. You are solely responsible for any trading decisions you make and for managing your own risk. Use at your own risk.
## Try it
This lite build isn't deployed on Triggon's Telegram signal feed — add it to your own PulseWire chart above to test and evaluate it directly. Strategy
Indicator
Strategy
Indicator
Bionic -- EMA Crossover with Target Price Levels & EMAs [FREE] Here is the complete writeup, ready to post:
Bionic - EMA Crossover with Target Price Levels & EMAs
This indicator combines a two-EMA crossover signal system with automatically projected price targets and a configurable stack of up to eight additional EMAs. The goal is a single overlay that identifies trend shifts, quantifies where price has historically traveled after those shifts, and keeps your key moving averages labeled on the chart.
Crossover Signals
The core signal engine watches two EMAs (default 9 and 21, both configurable). When the fast EMA crosses above the slow EMA, a green up arrow prints below the bar. When the fast EMA crosses below the slow EMA, a red down arrow prints above the bar. Both arrow colors are configurable, and alert conditions are included for each direction so you can route signals to PulseWire notifications.
Target Price Levels
At each confirmed crossover, the indicator projects two horizontal target lines. These targets are derived from your chart's recent history: the script scans a configurable lookback window (default 500 bars), measures how far price has typically extended beyond prior crossover points in that window, and anchors half-move and full-move projections from the open of the signal bar.
Bullish crossovers produce Bull Target 1 (half of the historical extension) and Bull Target 2 (the full historical extension) above the entry area.
Bearish crossunders produce Bear Target 1 and Bear Target 2 below the entry area.
An optional label setting displays the exact price of each target on the chart.
Two behaviors are by design and worth understanding before use. First, target levels reflect the state of the lookback window at the moment the signal fires. Because the window rolls forward with each bar, the same historical crossover can show different target values depending on when the chart is loaded. Targets are calculated on confirmed bars and do not repaint after placement, but they are snapshots of recent statistics rather than fixed structural levels. Second, only the most recent signal's targets remain on the chart. Each new crossover deletes the prior target lines and labels, so the display always represents the active signal.
Targets are statistical references drawn from past behavior on the current symbol and timeframe. They are context for planning exits, not guarantees.
EMA Shading
The area between the two signal EMAs is shaded by market posture: bullish coloring when price holds above both EMAs, bearish coloring when price sits below both, neutral coloring when price is between them, and distinct crossover and crossunder colors at the moment of a signal. All five colors are configurable, and the shading can be disabled entirely.
Multiple EMAs
Beyond the signal pair, the indicator plots up to eight independent EMAs (defaults include 9, 21, 34, 55, and an optional 400, with four slots off by default). Each EMA has its own length, color, and enable toggle. Each line carries a floating label at its right edge showing the EMA length and, optionally, its live price. Label distance and line width are globally configurable.
Global Toggles
Top-level switches let you disable all EMAs, disable shading, or suppress bullish or bearish target lines independently, so you can strip the display down to only the elements you trade with.
Settings Summary
EMA Cross Configuration: signal EMA lengths, lookback window for target calculation, target label toggle
Arrow Color Configuration: up and down arrow colors
Shading Settings: five posture colors
Multiple EMAs: eight configurable EMA slots plus global label and width controls
This indicator is a decision-support tool. It does not constitute financial advice. Test it on your instrument and timeframe before trading live. Indicator
OBV+OBV+
OBV+ tracks On Balance Volume against a moving average of itself and turns
that relationship into a directional state, then gates entries behind a
statistical trend test and manages the trade with a chandelier stop that only
ever moves in your favor.
HOW THE STATE WORKS
The indicator plots OBV with a configurable moving average (EMA, SMA, WMA,
RMA, or HMA). The distance between the two is ranked as a percentile against
its own recent history, so a strong OBV move is defined relative to what this
symbol has actually been doing rather than by a fixed number that means
something different on every chart. When that strength clears your threshold,
the state turns bullish or bearish and stays there until a qualifying move
flips it the other way. A minimum bar spacing keeps the state from
oscillating.
HOW ENTRIES WORK
A state flip on its own does not open a trade. The flip arms an entry window,
and within that window a linear regression on price must independently confirm
that a trend exists in the same direction, measured by the t statistic of the
regression slope. If the trend test agrees, the trade opens. If the window
closes without confirmation, the flip expires and prints a small gray circle
so you can see exactly which signals were passed over. The next entry then
waits for a fresh flip.
Price bars are colored by the gate rather than by raw OBV, so bars show green
or red only where both conditions are satisfied and gray everywhere else. You
can see at a glance which parts of the chart the indicator considers
tradeable.
HOW EXITS WORK
The stop arms immediately on the entry bar, placed beyond that bar's range so
a wide entry candle cannot take you out on the next bar. From there it trails
from the highest high reached since entry (or lowest low when short) at a
configurable ATR multiple, and it is hard clamped so it can only tighten. In a
long it never moves down. It tightens as volatility contracts and holds its
ground when volatility expands. The stop line is drawn directly on price
alongside entry triangles and exit crosses.
The trailing stop is the only exit by default. Opposite states are ignored
while a position is open, so a brief counter signal that does not reach your
stop leaves the trade running. If you would rather have state changes close
and reverse the position, there is a switch for it.
INPUTS
MA type and length, strength lookback and minimum percentile, minimum bars
between flips, regression lookback, minimum absolute t statistic, confirmation
window length, ATR length and chandelier multiple, plus a flip reverses
position toggle. Display options cover the fill, the trail, trade markers, and
bar coloring, with configurable bull, bear, and neutral colors. An optional
pane mode swaps OBV for the signed strength percentile with the threshold
lines drawn, which makes it easy to see which moves clear the bar.
ALERTS
Separate alert conditions for long entry, short entry, and exit, plus a single
combined alert carrying the ticker, timeframe, strength percentile, t
statistic, and current stop level.
NOTES
Because the signal is built from volume, results depend on the volume series
your data feed provides, and the same symbol can behave differently across
exchanges. Signals evaluate on bar close. Settings are deliberately open
ended: a low strength percentile with a short regression lookback produces
frequent, permissive signals, while raising the percentile and the t threshold
narrows it toward fewer and more selective ones. This is for informational purposes
only and isn't meant as financial advice. Indicator
DTC AIO [US] Why this is one tool, not a bundle of indicators
A stock's chart alone cannot tell you whether it is a genuine market leader. A rising 50-day average looks the same whether the earnings behind it are accelerating or shrinking; a strong-looking breakout looks the same whether the whole sector is moving or just that one ticker. Answering "is this a leader worth trading" requires checking several unrelated data sources against each other at the same time — the company's actual earnings, its price behavior relative to the market, how it behaves specifically when the market is under stress, and how it stacks up against the handful of stocks that compete with it. None of those four checks alone is reliable; a stock can look strong on any one of them and still not be a real leader. This script exists because doing that cross-check by hand — pulling up earnings, then flipping to a relative-strength chart, then manually building a peer watchlist — is slow and easy to skip. It runs all four checks against the same symbol on the same chart, automatically, and only then hands you the price-structure tools (moving averages, an anchored VWAP, pattern markers) needed to time an entry once that leadership case is actually made. The scoring engines are the reason this script exists; the timing tools are there so you are not forced to add three more indicators once you have your answer.
The four leadership checks
- Earnings engine. Quarterly or annual earnings and sales are pulled from PulseWire's financial data and laid out in a MarketSmith-style grid: the primary metric (earnings per share, or net income if you prefer), its year-over-year percentage change, sales, and the sales percentage change, with optional gross-margin and return-on-equity rows. Year-over-year is measured against the same period one year earlier so seasonal businesses compare fairly. A year-over-year change measured off a negative prior-year base is flagged with a "#", the standard convention for marking a percentage that would otherwise be misleading (e.g. earnings improving from -$1.00 to -$0.10 is not really a "-90%" move).
- Relative strength versus the market. A relative-strength line is built by dividing the stock's price by a benchmark's price (SPY by default), then scaling that ratio so it plots alongside the stock's own price. A one-year percentile rank of that ratio produces a 1-99 "RS Rating" — this is the same underlying idea used by IBD's RS Rating (how a stock's performance ranks against the rest of the market over the past year), calculated independently here from price data rather than licensed from any provider.
- Relative strength during stress ("Panic RS"). This checks something the plain RS line does not: whether the stock is holding above its own short-term average on days when the benchmark itself is below its own short-term average — in other words, is this stock outperforming specifically while the broad market is under pressure. That is a materially different (and rarer) signal than simply outperforming during a rally, and it is flagged with its own marker.
- Burst score (volatility regime). Instead of a single volatility number like ATR, this counts how many days over a chosen lookback (3 months to 3 years) closed up 5%, 10% and 17% or more, then combines those three counts into one score. A stock that regularly produces large up-days behaves very differently from one that grinds slowly upward even if their average volatility looks similar, and that difference is often visible in this count before it shows up in a standard momentum indicator.
- Automatic peer comparison. The stock's industry (or sector, as a fallback) is matched against a built-in map of roughly 60 US industry groups, each with a curated list of representative peer tickers, and a comparison table is built automatically from that group — day, 1-month and 3-month return, relative volume, and an RS column for each peer, with the current symbol pinned at the top. The RS column ranks each peer's 3-month return against the OTHER peers actually shown in the table (a 0-100 scale, highest = strongest of the group) — a peer-group-relative read, deliberately not the same 1-year-vs-market calculation the main RS Rating uses, since ranking a handful of direct competitors against each other is the more useful comparison in a table built specifically to check group leadership. You are not expected to build or maintain your own watchlist of comparable stocks; the peer set is derived from the symbol you already have on the chart.
Timing tools (used once the leadership case is made, not standalone)
- Four configurable moving averages (simple, exponential or weighted; independent length, color and width) for the standard support/trend read.
- An anchored VWAP measured from the most recent all-time high forward, giving a volume-weighted "fair value" line for the current up-leg rather than an arbitrary fixed lookback.
- Average daily range percentage and relative volume, so a breakout can be judged against the stock's own normal range and normal volume rather than an absolute number.
- Pattern markers: inside bars, a simplified pocket-pivot flag (an up day of 5%+ on above-threshold volume), the lowest-volume day over a lookback (often precedes a move), "three weeks tight" closes (three consecutive weekly closes within a volatility-scaled band of each other, an IBD base-tightening pattern), and swing high/low pivot labels with optional percentage change between them.
Compact dashboard
A small, repositionable table (top-right by default) puts the numbers behind the leadership read in one place: RS Rating, relative volume, average daily range %, 3-month return, the burst score, and float %. A stretched average daily range (7% or more) or an already-extended 3-month return (80% or more) is flagged in red with a ⚠ marker as a "this has probably already moved a lot" caution. Market cap, free float, and average dollar volume are available as the earnings table's configurable top-left header cell instead of a separate panel, so they sit next to the earnings grid they help contextualize.
How to use it
1. Add it to a daily chart of a US stock.
2. Check the earnings grid and the RS line/rating first: you want rising year-over-year earnings and sales together with relative strength making new highs against the benchmark.
3. Check whether the Panic RS markers and burst score are present — that tells you whether the leadership is showing up specifically during market weakness, and whether the stock has the range profile of an actual leader rather than a slow grinder.
4. Check the peer table to confirm the stock is leading its own group, not just riding the index up.
5. Once those four checks line up, use the moving-average stack, the anchored VWAP and the pattern markers to time an entry near support, sizing with the daily-range and relative-volume readings.
6. Every block has its own on/off toggle, so the dashboard can be reduced to only the checks you personally use.
Notes
- Earnings, sales, margin, return on equity, and the market-cap/float figures come from PulseWire's financial data and are only as complete as that data is for a given symbol; missing values show a dash rather than a misleading zero.
- Defaults assume US equities on a daily timeframe with a broad-market benchmark; the script will run on other markets and timeframes, but those defaults are US-equity-specific and not tuned for anything else.
- Tables and colors adapt automatically to a light or dark chart background.
- Open-source. Every input has a plain-language label and tooltip, so reading Pine is not required to use it.
- For educational and informational purposes only. Not financial advice.
Indicator
Intraday VWAP, Multi-EMA & RSI Price TrackerOverview:
The Intraday VWAP, Multi-EMA & RSI Price Tracker is a clean, non-repainting indicator designed specifically for intraday traders. It combines essential session value, momentum tracking, and higher-timeframe context to give you key dynamic support/resistance levels at a glance—without cluttering your chart with extra windows or table overlays.
Key Features:
Intraday Session VWAP: Plots the session VWAP exclusively on intraday timeframes (1m to 240m) and automatically hides on Daily or higher charts to keep long-term charts clean.
Non-Repainting Daily EMAs: Calculates and overlays key daily Exponential Moving Averages (20, 50, 100, and 200 EMA) directly onto your intraday chart using historical daily closures ( ). This guarantees zero real-time repainting or shifting lines.
Intraday 200 EMA: Includes a dynamic 200 EMA based on your current chart timeframe to quickly identify short-term trend bias.
Dynamic RSI Tracking: Displays a clean Relative Strength Index (RSI 14) label that dynamically updates its background color to highlight Overbought (>70) and Oversold (<30) conditions.
Clean Right-Margin Labels: Displays color-coded price labels for all active EMAs, VWAP, and RSI in the right-hand margin. Labels update in real-time and automatically delete old instances to eliminate trailing chart clutter.
Fully Customizable: Easily toggle individual EMAs, VWAP, or the RSI label on/off directly from the indicator settings menu.
📊 Indicators & Labels Included
Session VWAP (Intraday Only) – Cyan Line & Label
Intraday 200 EMA – White Line & Label
Daily 20 EMA – Yellow Line & Label
Daily 50 EMA – Orange Line & Label
Daily 100 EMA – Pink Line & Label
Daily 200 EMA – Purple Line & Label
RSI (14) – Dynamic Right-Margin Label (Green / Red / Gray)
💡 How to Use
Trend & Confluence: Check if price is holding above/below key Daily EMAs (e.g., Daily 20 or 50 EMA acting as strong dynamic support/resistance during intraday pullbacks).
Session Value: Use VWAP as your institutional benchmark for value during the trading session.
Momentum Checks: Keep an eye on the RSI margin label for quick momentum context without taking up vertical panel space at the bottom of your chart.
At-a-Glance Levels: Look at the right margin to see exact numerical price levels instantly without having to trace lines back to the Y-axis.
Disclaimer:
For Educational and Informational Purposes Only.
This script is an open-source technical analysis tool designed for charting convenience and display optimization. It does not constitute financial, investment, or trading advice. Past performance of any indicator or strategy is not indicative of future results.
Trading stocks, futures, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for every investor. Always perform your own due diligence, implement strict risk management, and consult a qualified financial advisor before making any live trading decisions. Indicator
Indicator
EMA Cloud (Highs/Lows)DESCRIPTION
A trend-following cloud built from two exponential moving averages — one applied to daily highs, the other to daily lows. Instead of a single EMA line, you get a zone that shows where the average high and average low of recent sessions sit, which makes it easier to judge whether price is extended, pulling back into value, or losing the trend entirely.
How it works
The indicator pulls the daily high and daily low of the instrument and calculates a separate EMA on each:
Upper cloud boundary = EMA of daily highs
Lower cloud boundary = EMA of daily lows
Center line = standard EMA of close, plotted for reference
Because the source values are fetched from the daily timeframe, the cloud stays anchored to daily structure regardless of the chart timeframe you're viewing. The same zone appears on a 5-minute chart as on a daily chart.
How to use it
Price holding above the cloud in an uptrend, with pullbacks that stall at the upper boundary or dip into the zone, is the typical continuation behaviour.
The cloud acts as a dynamic support/resistance band rather than a single line, which reduces the noise of price briefly piercing a lone EMA.
The lower boundary (EMA of daily lows) is a natural reference for trailing stops in long positions; the upper boundary serves the same role for shorts.
Price closing through and holding on the far side of the cloud signals a possible trend change.
Settings
EMA Length — period for both EMAs (default 21)
Cloud Color — fill color and opacity of the zone
Show Border Lines — toggle the outlines of the upper and lower boundaries on or off (off by default for a cleaner look)
Border Color / Border Width — styling for the boundaries when enabled
Notes
On intraday timeframes, the current day's high and low are still forming, so the most recent cloud values update as the session develops and settle once the daily bar closes. Historical values are fixed. This is expected behaviour for any indicator sourced from a higher timeframe.
SHORT VERSION
An EMA cloud built from daily highs and lows rather than closes. The upper boundary is an EMA of daily highs, the lower boundary an EMA of daily lows, with the standard EMA plotted between them. The result is a dynamic support/resistance zone that stays anchored to daily structure on any chart timeframe — useful for judging pullback depth and trailing stops in trending markets. Cloud color, opacity, EMA length, and optional border lines are all configurable. Indicator
