EMA Channel – Multi-Timeframe Adaptive Bands📘 Short Description (for TradingView listing)
A powerful, adaptive EMA channel indicator with independent timeframes for each band (Lower / Median / Upper), dynamic colors, and a smart configurable resistance line that can follow price, EMA, or ATR-based volatility.
Perfect for multi-timeframe confluence analysis, support/resistance mapping, and identifying early trend reversals.
🔹 Overview
The EMA Channel – Multi-Timeframe Adaptive Bands creates a dynamic price corridor that adapts to volatility and structure across multiple timeframes.
Each of the three bands (Lower, Median, and Upper) is independently configurable with its own:
Timeframe
EMA length
Source (close, hl2, ohlc4)
Line width, color logic, and visibility
The indicator also features automatic color shifts depending on price position, providing instant trend context.
🔹 Core Features
✅ Lower/Base EMA (Support)
Anchored EMA that defines the lower boundary of the trend channel.
Turns blue when price is above (bullish control) and red when price breaks below.
✅ Median Line (Neutral / Balance Zone)
Can either be its own EMA or automatically calculated as the midpoint between lower and upper bands.
Yellow below price, red above – clear mid-zone visualization.
✅ Upper Band (Dynamic Resistance)
Built above the selected anchor (Lower EMA, Median, Own EMA, or Price).
Configurable by ATR, Percentage offset, or ATR + Percentage combo.
Additional fine-tuning options:
Minimum gap (ATR or % based)
Absolute offset (price units)
EMA smoothing for a cleaner visual curve
Turns green when above price (active resistance) and red if price breaks through.
✅ Multi-Timeframe Engine
Each band is computed in its own timeframe (5D, 1D, 4H, etc.), making the tool highly adaptable for cross-TF confluence setups.
The "Hold HTF value between bars" option ensures smooth visualization when switching chart timeframes.
✅ Optional Channel Fill
Soft gray background fill between Lower and Upper bands for quick recognition of the dominant structure.
🔹 Typical Use Cases
Identify multi-timeframe trend channels and reversals.
Use the Upper band as adaptive resistance and the Lower EMA as dynamic support.
Combine with volume and RSI/MACD for confirmation of breakouts or retests.
Works for crypto, forex, indices, and stocks.
🔹 Technical Notes
Uses request.security() with barmerge.gaps_off and optional lookahead_on to preserve higher-timeframe integrity.
Compatible with all symbols and chart timeframes.
Designed for traders who rely on visual confluence and precision trend detection rather than single EMA signals.
🧠 Credits & Author Note
Developed by Bogdan TOMOIAGA – built for precision trend tracking, multi-timeframe analysis, and dynamic color feedback.
Inspired by institutional-grade volatility envelopes and enhanced with Pine v5 adaptive plotting.
⚠️ Disclaimer
This script is provided for informational and educational purposes only.
It does not constitute financial advice, trading advice, or investment guidance of any kind.
Past performance does not guarantee future results.
Trading involves risk — including the possible loss of capital.
Always do your own research and consult a licensed financial advisor before making any trading decisions.
The author and publisher of this script assume no responsibility or liability for any losses or damages resulting from its use.
แบนด์และแชนแนล
My Smart Volume Profile – Fixed
Title: 🔹 My Smart Volume Profile – Fixed
Description:
Lightweight custom Volume Profile showing POC, VAH, and VAL levels from recent bars. Highlights the value area, marks price touches, and supports optional alerts.
Developer Note:
Created with precision and simplicity by Magnergy
My Smart Volume Profile – Fixed
Title: 🔹 My Smart Volume Profile – Fixed
Description:
Lightweight custom Volume Profile showing POC, VAH, and VAL levels from recent bars. Highlights the value area, marks price touches, and supports optional alerts.
Developer Note:
Created with precision and simplicity by Magnergy
Margen de confianzaIt uses two moving averages (20 and 80). Based on their crossovers, you draw parallel bands.
The zone between these bands signals “confidence.” A downside break warns of risk; an upside break suggests price could push to new highs.
Son 2 medias moviles. Una de 20 y otra de 80. Utilizando los cruces se puede trazar lineas paralelas.
En las zonas que quedan entre estas lineas hay "confianza". Si el precio atraviesa para abajo hay peligro y si atraviesa para arriba puede ir a romper maximos
Power Law BTC IndicatorPOWER LAW BTC indicator:
A long-term price model that suggests Bitcoin's price follows a power law function over time. Unlike traditional stock market models that assume linear or exponential growth, the power law model suggests that Bitcoin's price scales in a predictable, non-random way over the long run
Kalman Filter by TwisterTrades(1D + Body Condition)
## 🧭 **Kalman Filter (1D + Body Condition)
This script implements a **true 1-dimensional Kalman Filter** applied to price data — not a simple moving average.
The Kalman Filter is a **Bayesian optimal estimation algorithm**, designed to separate **market noise** from the **true underlying trend** by dynamically adapting its sensitivity at every new bar.
Unlike **EMA**, **SMA**, or **VWAP**, which use fixed weighting formulas, the Kalman Filter **learns** how much to trust the current price based on how noisy and volatile the market is.
The result is a **smoother and smarter curve** that follows the real market direction while rejecting random fluctuations.
---
### ⚙️ **How It Works**
1. **Prediction:** The filter assumes the trend continues (predicts the next value).
2. **Update:** It compares the prediction with the actual price and updates its estimate based on:
* **Q (Process Noise):** how much the true trend can change.
* **R (Measurement Noise):** how noisy or unreliable the current price is.
3. The **Kalman Gain (K)** adjusts automatically — it becomes more responsive when volatility increases and more stable when the market is calm.
---
### 🎯 **Signals Logic**
The script generates **BUY** and **SELL** labels based on a combination of:
* **Trend direction:** whether the Kalman line is turning up or down.
* **Body confirmation:** the candle body closes entirely **above** or **below** the Kalman line.
**🟩 BUY signal:**
* Trend is turning bullish (line turning green).
* Candle body closes fully **above** the Kalman line.
**🟥 SELL signal:**
* Trend is turning bearish (line turning red).
* Candle body closes fully **below** the Kalman line.
You can enable alerts for both conditions:
```text
Kalman Filter: BUY signal detected (body above filter)
Kalman Filter: SELL signal detected (body below filter)
```
---
### 🔊 **Understanding Noise and Signals**
* **Noise** refers to short-term, random fluctuations in price (e.g. stop-hunts, low-volume spikes, or microstructure volatility).
* **Signal** refers to consistent, directional movement that carries information about the real trend.
The Kalman Filter works as a **signal extractor** — removing meaningless movements while keeping true directional momentum.
If the line is smooth and consistent, it means the market’s directional “signal” is clear.
If the line oscillates frequently, it means **noise dominates** — and trading signals should be taken with caution.
---
### ⏱️ **Recommended Timeframes and Parameters**
The strength of the filter depends on how noisy your timeframe is.
Here’s how to adjust it for different use cases:
| Purpose | Timeframe | Q (Process Noise) | R (Measurement Noise) | Description |
| ----------------------------- | --------- | ----------------- | --------------------- | --------------------------------------- |
| **Scalping / Microstructure** | 1m – 3m | 0.001 | 0.05 | Reacts faster, filters tick-level noise |
| **Intraday Bias / Trend** | 5m – 15m | 0.0001 | 0.01 | Balanced reactivity and smoothness |
| **Swing / Macro Bias** | 1H – 4H | 0.00001 | 0.001 | Very stable, great for clean trend bias |
💡 **Pro tip:**
* If the filter lags too much → increase **Q** slightly.
* If it reacts too much (too noisy) → increase **R** slightly.
* Always backtest adjustments visually for your market’s volatility (e.g. XAU/USD or NAS100).
---
### 📈 **Comparison with Other Indicators**
| Indicator | Adaptivity | Noise Filtering | Reactivity | Ideal Use |
| -------------------- | ---------------- | --------------- | ------------- | ---------------------------- |
| **SMA** | ❌ Fixed weights | ❌ Poor | ⚠️ Slow | Clean long trends |
| **EMA** | ⚠️ Semi-adaptive | ⚠️ Medium | ✅ Fast | Intraday direction |
| **VWAP** | ⚠️ Volume-based | ⚠️ Moderate | ✅ Good | Session-level bias |
| **Kalman Filter 1D** | ✅ Fully adaptive | ✅ Excellent | ✅ Intelligent | Any noisy or volatile market |
---
### 📊 **Usage Tips**
* Use the Kalman Filter as a **directional bias tool**, not a signal generator alone.
* Combine it with **price action**, **volume**, or **market structure** to confirm entries.
* Works exceptionally well on assets with **high noise and volatility** (e.g. XAU/USD, NASDAQ, BTCUSD).
* You can use the Kalman line instead of EMA50 or EMA100 — it provides a cleaner trend estimate without lagging as much in choppy conditions.
---
### ⚠️ **Disclaimer**
The Kalman Filter is not a predictive tool but a **state estimator** — it helps reveal the *true underlying direction* by filtering out noise.
It should be used together with sound risk management and a clear trading plan.
NY ORB - Full Dynamic SystemNY ORB - Full Dynamic Strategy Summary
1. Opening Range and Session Timing
Opening Range (ORB) Calculation: The strategy identifies the ORB High and ORB Low by tracking the highest high and lowest low during the specified New York pre-market window, which is set by default from 8:30 to 8:45 (New York time).
Entry Window: Trading activity is restricted to a specific entry period, typically starting shortly after the ORB is established (default: 8:50 to 12:00).
Hard Exit Time: Any remaining open positions are automatically closed at a fixed exit time (default: 13:25).
2. Trade Entry Logic and Filters
An entry (Long or Short) is generated when the price breaks out of the established ORB, provided it passes a series of optional filters:
Direction Control: The user can restrict the strategy to trade Long Only, Short Only, or Both.
Second Breakout Logic: An optional filter that requires the price to break out, reverse back into the range, and then break out again, confirming momentum after a consolidation.
Confirmation Candle Count: An optional filter that checks the close of a previous candle (e.g., 1 or 2 candles ago) to ensure the price was still inside the range, preventing premature entry.
Technical Filters (Optional): The entry is only executed if it aligns with selected indicators:
RSI: Filters for non-overbought (Long) or non-oversold (Short) conditions.
MACD: Requires the MACD line to be above/below the Signal line for alignment.
VWAP: Requires the price to be above/below the Volume-Weighted Average Price.
Trend Filter (SMMA): Requires the price to be above/below a 50-period Simple Moving Average.
3. Dynamic Risk and Exit Management
This strategy features highly configurable stop-loss and profit-taking mechanics:
Primary Stop Loss Methods: The Stop Loss distance can be dynamically chosen from four types:
Fixed: A fixed number of ticks.
ATR: Based on a multiple of the Average True Range (ATR).
Capped ATR: ATR-based, but with a hard maximum tick limit.
OR-Based: Based on a multiple of the actual ORB High-to-Low range.
Dynamic Profit Target: The Take Profit level is calculated dynamically based on a multiplier of either the ATR or the ORB Range.
Breakeven Stop:
If enabled, the Stop Loss automatically moves to the entry price (Breakeven) once the price moves a predetermined distance in the profitable direction.
An Adaptive Breakeven option allows the trigger distance to be calculated as a percentage of the overall ATR Profit Target.
Trailing Stop: The strategy uses a trailing stop, which can be custom-set (fixed ticks) or dynamically tied to the ATR. An optional feature Auto Tighten Trailing reduces the trailing multiplier once the breakeven level is hit.
MA Cross Exit: An alternative, counter-trend exit mechanism that closes the trade if the price crosses back over the chosen Moving Average (either SMMA or VWAP), overriding the pending profit target.
4. Daily Account Management
The strategy includes crucial daily risk controls to protect capital and lock in profits:
Daily Profit Limit: If the total daily PnL (realized and unrealized) hits a predefined maximum profit threshold (in ticks), all trades are closed, and new entries are blocked for the remainder of the trading day.
Daily Loss Limit: Conversely, if the total daily PnL hits a predefined maximum loss threshold, all trades are closed, and new entries are blocked for the remainder of the day.
Multi-Anchor VWAP | Trade Symmetry🧩 Multi-Anchor VWAP
Description:
Dynamic VWAP anchored to Session, Week, Month, Quarter, and Year — all in one view.
Full Description:
This indicator plots multiple VWAPs (Volume-Weighted Average Prices) simultaneously — each anchored to a different time period:
Session, Week, Month, Quarter, and Year.
💡 Ideal for traders who track institutional mean reversion and liquidity zones across multiple timeframes.
Features
✅ Session, Weekly, Monthly, Quarterly, and Yearly Anchored VWAPs
✅ Independent color and visibility controls for each anchor
✅ Adjustable label position and size
✅ Option to hide VWAPs on Daily or higher charts
✅ Clean and efficient performance
This tool helps you visualize volume-weighted mean levels where price often reacts — offering a clear map of bias and equilibrium across all major time horizons.
量化多空策略 4H趋势+15M进场（高胜率高R:R·完整报警版）这是一套结合多周期结构（4小时趋势 + 15分钟入场）的量化交易策略，
核心理念是「顺势而为 + 动量二次确认 + 高R:R风险控制」。
策略特点：
• 使用 4H EMA 趋势判定方向
• 结合 15m RSI + MACD 动量信号确认入场
• 二次确认（2~3 根内突破 + 动量共振）过滤假信号
• 自适应止盈止损（基于 ATR 和 ADX）
• 全自动计算 R:R、冷却周期、成交量放大过滤
适用场景
• 加密货币（BTC、ETH、SOL、BNB 等）
• 黄金 / 外汇 / 指数CFD
• 15m～1h短线趋势盯盘
• 适合希望提高信号质量、过滤假突破的交易者
注意事项
• 该策略为研究与教学用途，不构成投资建议
• 实盘前请先在回测与模拟盘验证参数
• 适度调整「确认根数」「R:R」「ADX阈值」以适应不同市场波动性
This is a multi-timeframe quantitative trading strategy combining the 4-hour trend with 15-minute entry signals.
Its core philosophy is “Trend following + Momentum confirmation + High R:R risk control.”
Key Features
• Uses 4H EMA structure to determine market trend
• Combines 15m RSI + MACD momentum for entry confirmation
• Dual confirmation within 2–3 bars (breakout + momentum alignment) to filter false signals
• Adaptive take-profit and stop-loss based on ATR and ADX
• Automatically calculates Risk/Reward ratio, cooldown period, and volume expansion filters
Best Use Cases
• Cryptocurrencies (BTC, ETH, SOL, BNB, etc.)
• Gold / Forex / Index CFDs
• Short-term trend tracking (15m–1h)
• Traders aiming to improve signal quality and avoid false breakouts
Notes
• This strategy is for research and educational purposes only — not financial advice.
• Always backtest and paper trade before live deployment.
• Adjust confirmation bars, R:R ratio, and ADX threshold to suit different market volatilities.
Addikro_V1📌 Description – Trend+Entry+Risk Indicator
This indicator combines statistically proven trading concepts into a complete trading framework:
✅ Trend Filter (EMA200)
All trades follow the higher-timeframe trend. Trend direction is clearly visualized.
✅ Entry Signals (you can choose):
EMA Crossover (EMA50 crossing EMA200) — classic trend-following entry
Breakout of recent highs/lows (20-bar range) — optionally only valid after a pullback to EMA50
✅ ATR-Based Risk Management:
Dynamic Stop Loss (SL) and Take Profit (TP1/TP2) levels using ATR
The last entry is saved — SL/TP lines stay visible on the chart
Optional position size suggestion based on % risk of account
✅ Smart Filters for Higher Accuracy:
RSI filter: e.g., only long if RSI > 50
Volume filter: signal only if volume is above SMA × multiplier
✅ Fixed Chart HUD (Table Overlay):
Displays live information anchored to the chart (does not move with candles)
Shows: Trend direction, entry mode, RSI, ATR, SL/TP multiplier, position size suggestion
Position can be set: top-left / top-right / bottom-left / bottom-right
✅ Signals & Alerts:
Visual arrows on the chart for long/short signals
Custom alert conditions included (works with mobile, email, webhook, bots)
🎯 Why this indicator works
It follows the same logic used by many successful systematic and hedge fund strategies:
Trend direction + statistically solid entries + strict risk management → no repainting, no guessing, no emotion.
Signal by UmaiR v2 Perfect 🔥 bhai — yeh raha tera **super-clean, professional TradingView description** version —
formatted for **maximum clarity & style**, same tone as a polished release note 👇
---
## 🟡 **Welcome to the Wolf Community – Gold Strategy (Final Version)**
This strategy has been **specially designed for Gold (XAUUSD)**.
Please read carefully to understand the correct **way to use it** and manage your trades effectively.
---
### ⚙️ **How to Use**
* As soon as **TP1 (1:1)** is hit → **Move your Stop Loss to Break Even (BE)**.
* If you want to aim for a **larger target**, let the trade continue.
* If the trade comes back and hits **Break Even**, **avoid trading again in that direction** for some time.
Why?
Because after a BE hit, the market usually gives **2–3 false signals** before continuing its true move.
Avoiding those will save you from unnecessary losses.
---
### 🎯 **Trade Progression Rules**
* **TP1 (1:1)** → Move to **Break Even / SL = 0**.
* **TP2 (1:2)** → Once this target is hit, **wait for the next signal in the same direction**.
* Example:
* If you’re in a **Buy trade** and TP2 is hit,
the next Buy signal will usually appear **slightly below TP2** (not above).
You can enter again **only if BE was not hit** earlier.
* **TP3 (1:5)** → Not visible in this version yet,
but will activate in the next update (appears only after TP2 hit).
---
### ⏱️ **Recommended Timeframes**
Use the indicator on the **5-Minute (M5)** or **15-Minute (M15)** charts
for the most accurate and consistent results.
---
### 💰 **Risk Management**
This indicator does **not** manage lot size or equity —
you must handle your **own risk per trade** according to your plan.
Decide beforehand how many trades to take per day (1 or 2) and manage profits accordingly.
---
### ⚡ **Market Notes**
Gold is highly volatile during:
* **Monday**
* **Thursday (Liquidity Day)**
* **Friday**
On these days, **TP2 targets** are often reached faster, especially on lower timeframes.
---
### 🧩 **Final Notes**
This is the **Final Version** of the Wolf Gold Strategy.
If any update or modification is made in the future,
it will be published under the **same name with Version 3**.
🚀 Apply it, trade with discipline, and share your results with the community!
---
Goldbach Shelves with HIPPO by M4RK4R4Goldbach Hippo M4RK
The idea is that you are using a higher Po3 range, but trading within the smaller 3 sections, that I call "shelves", Bottom Shelf, Mid Shelf, Top Shelf. The three sections are split with the 0.33 and 0.66 Non GB levels.
Each shelf has two FV levels (gray lines), and you should TP or take most off at opposite FV level, with the stop at the NonGB lines (thick white lines), or the FV level past that.
Can also crank SL up after price goes to opposite FV. This gives you about 2.3RR, which is excellent for long term stability and automation.
Future updates:
auto Po3 range suggestion.,
current Po3 in use label (done),
section labels/tool tips,
custom colors (done)
MOSHE - GITEGITE
Developed by MOSHE for GITE students only!!!
Many thanks to all our participants in the GITE community
Orb DivergenceOrb Divergence is a market reversal indicator that visually highlights moments when price momentum is ready to shift direction.
It detects hidden energy imbalances within price movements and identifies potential trend turning points formed by these accumulations.
The indicator displays colored orbs and clear “UP / DOWN” signals to mark upcoming reversals in a simple and intuitive way.
Rather than focusing on short-term reactions, it emphasizes key zones where market momentum may truly change.
Designed as a visual compass, Orb Divergence helps you spot the moments when the market takes a breath — and prepares to turn.
For a deeper and more data-driven approach to market structure and reversal dynamics, you may also want to explore Teometric Demand Model V3;
