👽 TIME PERIODS👽 TIME PERIODS v1.15
Visualize key time divisions and session levels on any chart:
• Timezone‐aware session shading
– Highlight active NY session (configurable HHMM–HHMM and days)
– Adjustable background opacity
• Weekly & Monthly Separators
– Toggle on/off
– Custom color, style (solid/dashed/dotted) & width
• Day-of-Week Labels
– Diamonds at session start for M–S
– Toggle on/off
• Session Open Line
– Horizontal line at each session’s open
– Configurable color, width & “distanceRight” in bars
– Always shows current session
• Midpoint Vertical Line
– Plots halfway between session open & close
– Custom color, style & width
– Toggle on/off
▶ All elements grouped for easy parameter tweaking
▶ Fully timezone-configurable (default America/New_York)
▶ Version 1.15 — added distanceRight feature & current session support
Use this to see exactly where your chosen session, weekly/monthly boundaries, and intraday pivot points fall—across any timeframe.
Indicators and strategies
EMA/DEMA_group_stdThis indicator is like its sister indicator in that it measures dispersion but instead of being cumulative it measures distance between moving averages in each group.
Group 1:11, 13, 18, 21
Group 2:18, 21, 29, 34
Group 3: 29, 34, 47, 55
Group 4: 47, 55, 76, 89
Group 5: 76, 89 123, 144
Group 6: 123, 144, 199, 233
Group 7: 199, 233, 322, 377
How to use
1. Divergences
2. Moving average crosses
3. Momentum
Plotshape colors show when moving averages are nearing a crossover and level can be manually set in menu.
Price Extension from 8 EMAOverview
This indicator can be used to see how far away the price is from the 8 EMA. It compares this to the Average Daily Range % to see if the stock may be overextended. The "Extension Multiplier" represents how far the stock is extended away from the 8 EMA.
Core Concept
This indicator is best used for breakout trades that are trying to make sure they are not chasing the stock.
How to Use This Indicator
This tool is primarily intended for analyzing daily charts of individual stocks and is often used by breakout traders to evaluate potential entry areas.
If the stock is far away from the 8 EMA, it is likely not ready to break out. If it is close to the 8ema, it could be ready to move higher.
This indicator can also be used in the opposite way. For example, shorting or puts.
Understanding the colors
Green (Not Extended): Indicates the price is close to the 8 EMA. This often corresponds to periods of consolidation.
Yellow (Slightly Extended): The price is beginning to move away from the 8 EMA.
Orange (Extended): The price has moved a considerable distance from the 8 EMA.
Red (Very Extended): The price is at an extreme distance from the 8 EMA, historically increasing the likelihood of a pullback or consolidation.
Settings
Info Row Position: Adjusts the vertical position of the display table on the chart. Useful when using other indicators.
ADR Length: Sets the lookback period for calculating the Average Daily Range. Or the average range % for different timeframes.
Timeframe: Determines the timeframe for the EMA and ADR calculation (the default is Daily).
SPX Optimized EMA+VWAP+RSI IndicatorOptimized SPX EMA+VWAP+RSI indicators.
EMA9 = Orange
EMA21 =Blue
EMA50=Purple
EMA200=Red
VWAP=Teal
The SignalThe Signal — 9/21 EMA Cloud Indicator
“The Signal” is a clean, no-nonsense trend-following tool designed for traders who value clarity and precision.
This indicator plots a cloud between the 9-period and 21-period Exponential Moving Averages (EMAs), giving you immediate visual cues on trend direction and momentum. When the 9 EMA crosses above the 21 EMA, the cloud turns green — signaling bullish momentum. When the 9 EMA crosses below the 21 EMA, the cloud turns red — indicating potential bearish pressure.
🔍 Features:
- Minimalist design focused on the two most critical EMAs used by professional traders.
- Dynamic color-coded cloud: green for bullish, red for bearish.
- Optional EMA lines to fine-tune entries/exits.
- Offset control to project the EMAs forward and visualize leading momentum.
🧠 Strategy Recommendations
Basic Strategy:
- Buy Entry: When 9 EMA crosses above 21 EMA and the cloud turns green.
- Sell Entry: When 9 EMA crosses below 21 EMA and the cloud turns red.
- Use a trailing stop-loss or recent swing low/high for exits.
- CME_MINI:NQ1! Combine with volume confirmation or RSI divergence for higher confidence setups.
Adaptive Squeeze Momentum +OVERVIEW
Adaptive Squeeze Momentum+ is an enhanced, auto-adaptive momentum indicator inspired by the classic Squeeze Momentum concept. This script dynamically adjusts its parameters to any timeframe without requiring manual inputs, making it a versatile tool for intraday traders and long-term investors alike.
CONCEPTS
The indicator combines Bollinger Bands (BB) and Keltner Channels (KC) to identify volatility compression ("squeeze") and expansion phases. When BB contracts within KC, a squeeze is detected, signaling reduced volatility and potential for a breakout. Additionally, a linear regression momentum calculation helps assess the strength and direction of price moves.
FEATURES
Auto-Adaptation:
Automatically adjusts BB/KC lengths and multipliers based on the chart timeframe (from 1 minute to 1 month).
Dynamic Squeeze Detection:
Clear visual encoding of squeeze status:
- Gray cross: neutral
- Blue cross: squeeze active
- Yellow cross: squeeze released
Momentum Histogram:
Colored area chart shows positive and negative momentum with slope-based coloring.
Clean Visualization:
Minimalist plots focused on actionable signals.
USAGE
Identify Squeeze Phases:
When the blue cross appears, the market is in a volatility squeeze, potentially preceding a breakout.
Monitor Momentum Direction:
The area plot shows the magnitude and direction of price momentum.
Confirm Entries and Exits:
Combine squeeze releases (yellow) with positive momentum for potential long entries or negative momentum for shorts.
Adaptable to Any Market:
Works seamlessly across cryptocurrencies, stocks, forex, and indices on all timeframes.
RISK## Main Purpose
The indicator calculates and displays risk levels based on margin requirements and daily settlement prices, helping traders visualize their potential risk exposure.
## Key Features
**Inputs:**
- **Margin for Calculation**: The CME long margin requirement for the asset
- **HTF Margin Line**: An anchor point for higher timeframe margin calculations
**Core Calculations:**
1. **Settlement Price Tracking**: Captures daily settlement prices during specific session times (6:58-6:59 PM ET for close, 6:00-6:01 PM ET for new day open)
2. **Risk Percentage**: Calculates `margin / (point value × settlement price)` - with special handling for Micro contracts (symbols starting with "M") that uses 10× point value
3. **Risk Intervals**: Determines price intervals representing one margin unit of risk
## Visual Display
The indicator plots multiple risk levels on the chart:
- **Settlement price** (orange circles)
- **Globex open** (green circles)
- **Upper/Lower Risk levels** (red circles) - one and two risk intervals away
- **Subdivision levels** (blue crosses) - 25%, 50%, and 75% of each risk interval
- **MHP+ level** (black crosses) - HTF anchor adjusted by risk percentage
- **HTF Anchor** (black crosses)
## Practical Use
This helps futures traders:
- Visualize how far price can move before hitting margin calls
- See risk levels relative to daily settlements
- Plan position sizing and risk management
- Understand exposure in terms of actual margin requirements
The indicator essentially transforms abstract margin numbers into concrete price levels on the chart, making risk management more visual and intuitive.
+ ATR Table and BracketsHi, all. I'm back with a new indicator—one I firmly believe could be one of the most valuable indicators you keep in your indicator toolshed—based around true range.
This is a simple, streamlined indicator utilizing true range and average true range that will help any trader with stoploss, trailing stoploss, and take-profit placement—things that I know many traders use average true range for. It could also be useful for trade entries as well, depending on the trader's style.
Typically, most traders (or at least what I've seen recommended across websites, video tutorials on YouTube, etc.) are taught to simply take the ATR number and use that, and possibly some sort of multiplier, as your stoploss and take-profit. This is fine, but I thought that it might be possible to dive a bit deeper into these values. Because an average is a combination of values, some higher, some lower, and we often see ATR spikes during periods of high volatility, I thought wouldn't it be useful to know what value those ATR spikes are, and how do they relate to the ATR? Then I thought to myself, well, what about the most volatile candle within that ATR (the candle with the greatest true range)? Couldn't knowing that value be useful to a trader? So then the idea of a table displaying these values, along with the ATR and the ATR times some multiplier number, would be a useful, simple way to display this information. That's what we have here.
The table is made up of two columns, one with the name of the metric being measured, and the other with its value. That's it. Simple.
As nice as this was, I thought an additional, great, and perhaps better, way to visualize this information would be in the form of brackets extending from the current bar. These are simply lines/labels plotted at the price values of the ATR, ATR times X, highest ATR, highest ATR times X, and highest TR value. These labels supply the actual values of the ATR, etc., but may also display the price if you should choose (both of these values are toggleable in the 'Inputs' section of the indicator.). Additionally, you can choose to display none of these labels, or all five if you wish (leaves the chart a bit cluttered, as shown in the image below), though I suspect you'll determine your preferences for which information you'd like to see and which not.
Chart with all five lines/labels displayed. I adjusted the ATRX value to 3 just to make the screenshot as legible as possible. Default is set to 1.5. As you can see, the label doesn't show the multiplier number, but the table does.
Here's a screenshot of the labels showing the price in addition to the value of the ATR, set to "Previous Closing Price," (see next paragraph for what that means) and highest TR. Personally, I don't see the value in the displaying the price, but I thought some people might want that. It's not available in the table as of now, but perhaps if I get enough requests for it I will add it.
That's basically it, but one last detail I need to go over is the dropdown box labeled "Bar Value ATR Levels are Oriented To." Firstly, this has no effect on Highest ATR, Highest ATRX, and Highest TR levels. Those are based on the ATR up to the last closed candle, meaning they aren't including the value of the currently open candle (this would be useless). However, knowing that different traders trade different ways it seemed to me prudent to allow for traders to select which opening or closing value the trader wishes to have the ATR brackets based on. For example, as someone who has consumed much No Nonsense Forex content I know that traders are urged to enter their trades in the last fifteen minutes of the trading day because the ATR is unlikely to change significantly in that period (ATR being the centerpiece of NNFX money management), so one of three selections here is to plot the brackets based on the ATR's inclusion of this value (this of course means the brackets will move while the candle is still open). The other options are to set the brackets to the current opening price, or the previous closing price. Depending on what you're trading many times these prices are virtually identical, but sometimes price gaps (stocks in particular), so, wanting your brackets placed relative to the previous close as opposed to the current open might be preferable for some traders.
And that's it. I really hope you guys like this indicator. I haven't seen anything closely similar to it on TradingView, and I think it will be something you all will find incredibly handy.
Please enjoy!
AlphaTrend//@version=5
indicator('AlphaTrend', shorttitle='AT', overlay=true, format=format.price, precision=2, timeframe='')
coeff = input.float(1, 'Multiplier', step=0.1)
AP = input(14, 'Common Period')
ATR = ta.sma(ta.tr, AP)
src = input(close)
showsignalsk = input(title='Show Signals?', defval=true)
novolumedata = input(title='Change calculation (no volume data)?', defval=false)
upT = low - ATR * coeff
downT = high + ATR * coeff
AlphaTrend = 0.0
AlphaTrend := (novolumedata ? ta.rsi(src, AP) >= 50 : ta.mfi(hlc3, AP) >= 50) ? upT < nz(AlphaTrend ) ? nz(AlphaTrend ) : upT : downT > nz(AlphaTrend ) ? nz(AlphaTrend ) : downT
color1 = AlphaTrend > AlphaTrend ? #00E60F : AlphaTrend < AlphaTrend ? #80000B : AlphaTrend > AlphaTrend ? #00E60F : #80000B
k1 = plot(AlphaTrend, color=color.new(#0022FC, 0), linewidth=3)
k2 = plot(AlphaTrend , color=color.new(#FC0400, 0), linewidth=3)
fill(k1, k2, color=color1)
buySignalk = ta.crossover(AlphaTrend, AlphaTrend )
sellSignalk = ta.crossunder(AlphaTrend, AlphaTrend )
K1 = ta.barssince(buySignalk)
K2 = ta.barssince(sellSignalk)
O1 = ta.barssince(buySignalk )
O2 = ta.barssince(sellSignalk )
plotshape(buySignalk and showsignalsk and O1 > K2 ? AlphaTrend * 0.9999 : na, title='BUY', text='BUY', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(#0022FC, 0), textcolor=color.new(color.white, 0))
plotshape(sellSignalk and showsignalsk and O2 > K1 ? AlphaTrend * 1.0001 : na, title='SELL', text='SELL', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.maroon, 0), textcolor=color.new(color.white, 0))
alertcondition(buySignalk and O1 > K2, title='Potential BUY Alarm', message='BUY SIGNAL!')
alertcondition(sellSignalk and O2 > K1, title='Potential SELL Alarm', message='SELL SIGNAL!')
alertcondition(buySignalk and O1 > K2, title='Confirmed BUY Alarm', message='BUY SIGNAL APPROVED!')
alertcondition(sellSignalk and O2 > K1, title='Confirmed SELL Alarm', message='SELL SIGNAL APPROVED!')
alertcondition(ta.cross(close, AlphaTrend), title='Price Cross Alert', message='Price - AlphaTrend Crossing!')
alertcondition(ta.crossover(low, AlphaTrend), title='Candle CrossOver Alarm', message='LAST BAR is ABOVE ALPHATREND')
alertcondition(ta.crossunder(high, AlphaTrend), title='Candle CrossUnder Alarm', message='LAST BAR is BELOW ALPHATREND!')
alertcondition(ta.cross(close , AlphaTrend ), title='Price Cross Alert After Bar Close', message='Price - AlphaTrend Crossing!')
alertcondition(ta.crossover(low , AlphaTrend ), title='Candle CrossOver Alarm After Bar Close', message='LAST BAR is ABOVE ALPHATREND!')
alertcondition(ta.crossunder(high , AlphaTrend ), title='Candle CrossUnder Alarm After Bar Close', message='LAST BAR is BELOW ALPHATREND!')
MA Deviationインジケーター名: MA乖離率インジケーター / MA Deviation Indicator
📖 説明（日本語）
このインジケーターは、3本の移動平均線（MA）の乖離率を視覚化し、相場の過熱感やトレンドの強さを判定するためのツールです。
✅ 主な機能
複数の移動平均タイプに対応：SMA, EMA, WMA, RMA, VWMA, HMAから選択可能。
最大3本の移動平均を自由に設定可能。
それぞれのMA間の乖離率（％）をチャートにプロット。
指定した閾値を超えた時に背景色を表示（緑＝乖離が正方向に大きい、赤＝負方向に大きい）。
データウィンドウ上で「背景表示フラグ」も確認可能（サインが出ているかどうかが数値で確認できます）。
⚠️ 注意事項
乖離率は過去の価格と比較したものであり、将来の価格を保証するものではありません。
短期トレードよりも、トレンドの強弱や過熱感の把握に適しています。
複数のMAを使用しない場合でも、背景色は他の設定されたMAペアで判定されることにご注意ください。
📖 Description (English)
This indicator visualizes the percentage deviation between up to 3 configurable moving averages (MA), helping traders assess trend momentum and potential overextension.
✅ Key Features
Supports multiple MA types: Choose from SMA, EMA, WMA, RMA, VWMA, and HMA.
Set up to 3 custom MAs with different periods.
Plots the deviation (%) between each pair of selected MAs.
Background color highlights extreme deviations (green = strong positive deviation, red = strong negative deviation).
Data Window flag (1 or 0) shows whether background highlight is active.
⚠️ Notes
Deviation percentages are not predictive, but useful for identifying trend strength or market overheating.
Especially useful for trend analysis, not for exact entry signals.
Even if not all lines are shown, the background color may still appear based on the enabled MA comparisons.
Alligator Crossover AlertThe Alligator Indicator consists of:
Jaw (Blue line): 13-period Smoothed Moving Average, shifted by 8 bars
Teeth (Red line): 8-period Smoothed Moving Average, shifted by 5 bars
Lips (Green line): 5-period Smoothed Moving Average, shifted by 3 bars
A crossing of these lines can signal:
Start of a new trend (when lines fan out in order)
Consolidation or end of trend (when lines cross over each other) - The indicator is for visual representation of the crossovers
BTCs RSI Dip & EMA Crossover AlertThis indicator helps you catch potential reversal opportunities after a stock or crypto asset becomes oversold.
🛠 How it works:
Watches RSI (Relative Strength Index)
First, it waits for RSI to dip below a level you choose (default is 30), which often signals the asset is oversold and due for a bounce.
Waits for Price Confirmation
After the RSI dip, the indicator watches for the first time price closes above both the 55 EMA and 200 EMA — a strong sign that momentum may be shifting upward.
Sends a “Buy” Signal
When that happens, the script:
Plots a green “Buy” label on the chart
Triggers an alert (labeled "Buy Indicator") so you’re notified immediately
⚙️ Customizable Inputs:
RSI threshold (e.g. 30 or 25)
RSI period (e.g. 14)
EMA lengths (default: 55 and 200)
✅ Designed to:
Avoid false signals by requiring both RSI weakness and price strength
Only trigger once per RSI dip, so you’re not spammed with repeat alerts
Use it to stay patient during downtrends and get alerted when the technicals show a possible turnaround. Great for swing traders and longer-term entries.
Previous Day High/Low with Labelsprevious day range, moving averages editable and with notes to add to the screen
Custom Sell Signal - MACD + EMA + Volume//@version=5
indicator("Custom Sell Signal - MACD + EMA + Volume", overlay=true)
// MACD Settings
fast_length = 12
slow_length = 26
signal_smoothing = 9
= ta.macd(close, fast_length, slow_length, signal_smoothing)
// 50 EMA
ema50 = ta.ema(close, 50)
// Volume Moving Average (20 SMA)
volSMA = ta.sma(volume, 20)
// Conditions
macdCrossBelow = ta.crossunder(macdLine, signalLine)
macdAboveZero = macdLine > 0
closeNearOrBelowEMA50 = close <= ema50 * 1.005 // Adjust buffer (0.5%) if needed for "near"
volumeAboveSMA = volume > volSMA
// Final Sell Condition
sellCondition = macdCrossBelow and macdAboveZero and closeNearOrBelowEMA50 and volumeAboveSMA
// Plotting
plot(ema50, color=color.blue, title="50 EMA")
// Sell Signal Plot
plotshape(sellCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
// Alert Condition
alertcondition(sellCondition, title="Sell Signal Alert", message="Sell Signal Generated")
Fibonacci Extension Distance Table## 🧾 **Script Name**: Fibonacci Extension Distance Table
### 🎯 Purpose:
This script helps traders visually track **key Fibonacci extension levels** on any chart and immediately see:
* The **price target** at each extension
* The **distance in percentage** from the current market price
It is especially helpful for:
* **Profit targets in trending trades**
* Monitoring **potential resistance zones** in uptrends
* Planning **entry/exit timing**
---
## 🧮 **How It Works**
1. **Swing Logic (A → B → C)**
* It automatically finds:
* `A`: the **lowest low** in the last `swingLen` bars
* `B`: the **highest high** in that same lookback
* `C`: current bar’s low is used as the **retracement point** (simplified)
2. **Extension Formula**
Using the Fibonacci formula:
```text
Extension Price = C + (B - A) × Fibonacci Ratio
```
The script calculates projected target prices at:
* **100%**
* **127.2%**
* **161.8%** (Golden Ratio)
* **200%**
* **261.8%**
3. **Distance Calculation**
For each level, it calculates:
* The **absolute difference** between current price and the extension level
* The **percentage difference**, which helps quickly assess how close or far the market is from that target
---
## 📋 **Table Output in Top Right**
| Level | Target ₹ | Dist % from current price |
| ------ | ---------- | ------------------------- |
| 100% | Calculated | % Above/Below |
| 127.2% | Calculated | % Above/Below |
| 161.8% | Calculated | % Above/Below |
| 200% | Calculated | % Above/Below |
| 261.8% | Calculated | % Above/Below |
* The table updates **live on each bar**
* It **highlights levels** where price is nearing
* Useful in **any time frame** and **any market** (stocks, crypto, forex)
---
## 🔔 Example Use Case
You bought a stock at ₹100, and recent swing shows:
* A = ₹80
* B = ₹110
* C = ₹100
The 161.8% extension = 100 + (110 − 80) × 1.618 = ₹148.54
If the current price is ₹144, the table will show:
* Golden Ratio Target: ₹148.54
* Distance: −4.54
* Distance %: −3.05%
You now know your **target is near** and can plan your **exit or trailing stop**.
---
## 🧠 Benefits
* No need to draw extensions manually
* Automatically adapts to new swing structures
* Supports **scalping**, **swing**, and **positional** strategies
BB + RSI & Volume FilterThis script overlays three sets of technical filters on your price chart and generates signals when conditions align:
Bollinger Bands
Calculates upper, middle, and lower bands using either SMA or EMA.
Buy signal when price crosses up through the lower band.
Sell signal when price crosses down through the upper band.
Volume Filter
Computes a simple moving average of volume.
Ensures breakout moves have sufficient volume by requiring current volume > SMA(volume) × multiplier.
RSI Filter
Computes RSI on the chosen source.
Buy when RSI crosses above the oversold threshold.
Sell when RSI crosses below the overbought threshold.
Only plots RSI signals that pass the volume filter.
You get:
Bollinger entry/exit shapes (labeled “BB ↑/↓”).
RSI entry/exit shapes (labeled “RSI”) only when volume confirms the move.
Alerts for each signal type.
This combination reduces false breakouts by requiring both volatility (Bollinger) or momentum (RSI) and volume confirmation
ema/dema_cum_stdThis indicator measures distance between moving averages by first calculating the variance of a group of moving averages the converting to standard deviation by taking the square root of the variance and then normalized by dividing by price (close) and multiplying by 100 ( percent). Here are the groups
Group 1 :11,13, 18, 21
Group 2: 11, 13, 18, 21, 29, 34
Group 3: 11, 13, 18, 21, 29, 34, 47, 55
Group 4: 11, 13, 18, 21, 29, 34, 47, 55, 76, 89
Group 5: 11, 13, 18, 21, 29, 34, 47, 55, 76, 89, 123, 144
Group 6: 11, 13, 18, 21, 29, 34, 47, 55, 76, 89, 123, 144, 199, 233
Group 7: 11, 13, 18, 21, 29, 34, 47, 55, 76, 89, 123, 144, 199, 233, 322, 377
Group 8: 11, 13, 18, 21, 29, 34, 47, 55, 76, 89, 123, 144, 199, 233, 322, 377, 521, 610
Great for showing compression and expansion levels and showing divergences. I try to only use Groups 1-4 or Groups 1-5
Shows when moving average groups squeeze below the set level you set using plot shape function. Shape colors are color coordinated to match moving average dispersion plots
Uses DEMA and EMA
Week days colorsThe “Week Days Colors” indicator highlights each day of the week with a custom background color on the chart. You can assign a different color to each weekday (Monday to Sunday) using the input settings. This makes it easy to visually distinguish days on the chart, helping with pattern recognition, trading strategy timing, or simply improving chart readability.
Features:
• Custom background color for each day of the week
• Fully customizable through color inputs
• Works on any timeframe
• Helps visualize weekly patterns and cycles
GER40 Opening Range Breakout (Advanced)🔥 GER40 (DAX40) Opening Range Breakout Strategy
📌 Overview:
This strategy takes advantage of the high volatility and liquidity during the Frankfurt and London session openings (8:00–10:00 CET). It’s especially suitable for day traders who want to capitalize on early momentum.
✅ Strategy Steps:
1. Mark the Opening Range (08:00–08:15 CET)
Wait for the first 15 minutes after the Frankfurt open (08:00 CET).
Draw horizontal lines at the high and low of this range.
2. Entry Rules:
Buy when price breaks above the opening range high with strong volume.
Sell (short) when price breaks below the opening range low with strong volume.
3. Confirmation (optional but helpful):
Use a momentum indicator like RSI (above 50 for long, below 50 for short) or MACD crossing above/below the signal line.
Look for volume spike at breakout for validation.
4. Stop-Loss:
Set just below the range low (for long) or above the range high (for short).
Or use a fixed pip/point stop-loss like 15–25 points depending on current volatility.
5. Take Profit / Exit:
1:1.5 to 1:2 Risk/Reward Ratio.
Or scale out at fixed points (e.g., +20, +40).
Or trail stop after price moves in favor by +20 points.
📊 Additional Filters to Improve Accuracy:
Check macroeconomic calendar (avoid entering during red news like ECB, German CPI, etc.).
Use VWAP as a dynamic support/resistance for bias direction.
Use 5-min or 15-min charts for better signal clarity.
📈 Example:
Let’s say the DAX opens at 08:00 CET, and by 08:15, the high is 18,000 and the low is 17,950.
If price breaks above 18,000 with volume and RSI > 50, enter long.
Place stop at 17,950 or slightly below.
Take profit at 18,030–18,050 or trail stop.
🧠 Pro Tips:
GER40 is highly volatile, so ensure your risk per trade is small (e.g., 1% or less).
Avoid trading around major news (ECB rate decisions, German GDP, etc.).
Best sessions for GER40: Frankfurt Open (08:00 CET) and London Open (09:00 CET).
MACD Ignored Candle SignalsGBI AND RBI WITH MACD CONFIRMATION
Gives buy and sell signals based on a simple candlestick pattern that co-aligns with the macd momentum. earliest signals based on the trend are usually the best entries
Pivot Swings w Table Pivot Swings w Table — Intraday Structure & Range Analyzer
This indicator identifies key pivot highs and lows on the chart and highlights market structure shifts using a real-time table display. It helps traders visually confirm potential trade setups by tracking unbroken swing points and measuring the range between the most recent pivots.
🔍 Features:
🔹 Automatic Pivot Detection using configurable left/right bar logic.
🔹 Unbroken Pivot Filtering — only pivots that haven't been invalidated by price are displayed.
🔹 Dynamic Range Table with:
Latest valid Pivot High and Pivot Low
Total Range Width
Upper & Lower 25% range thresholds (useful for value/imbalance analysis)
🔹 Trend-Based Color Coding — the table background changes based on which pivot (high or low) occurred more recently:
🟥 Red: Downward bias (last pivot was a lower high)
🟩 Green: Upward bias (last pivot was a higher low)
🔹 Optional extension of pivot levels to the right of the chart for support/resistance confluence.
⚙️ How to Use:
Adjust the Left Bars and Right Bars inputs to fine-tune how swings are defined.
Look for price reacting near the Upper or Lower 25% zones to anticipate mean reversion or breakout setups.
Use the trend color of the table to confirm directional bias, especially useful during consolidation or retracement periods.
💡 Best For:
Intraday or short-term swing traders
Traders who use market structure, support/resistance, or trend-based strategies
Those looking to avoid low-quality trades in tight ranges
✅ Built for overlay use on price charts
📈 Works on all symbols and timeframes
🧠 No repainting — pivots are confirmed with completed bars
Momentum Regression [BackQuant]Momentum Regression
The Momentum Regression is an advanced statistical indicator built to empower quants, strategists, and technically inclined traders with a robust visual and quantitative framework for analyzing momentum effects in financial markets. Unlike traditional momentum indicators that rely on raw price movements or moving averages, this tool leverages a volatility-adjusted linear regression model (y ~ x) to uncover and validate momentum behavior over a user-defined lookback window.
Purpose & Design Philosophy
Momentum is a core anomaly in quantitative finance — an effect where assets that have performed well (or poorly) continue to do so over short to medium-term horizons. However, this effect can be noisy, regime-dependent, and sometimes spurious.
The Momentum Regression is designed as a pre-strategy analytical tool to help you filter and verify whether statistically meaningful and tradable momentum exists in a given asset. Its architecture includes:
Volatility normalization to account for differences in scale and distribution.
Regression analysis to model the relationship between past and present standardized returns.
Deviation bands to highlight overbought/oversold zones around the predicted trendline.
Statistical summary tables to assess the reliability of the detected momentum.
Core Concepts and Calculations
The model uses the following:
Independent variable (x): The volatility-adjusted return over the chosen momentum period.
Dependent variable (y): The 1-bar lagged log return, also adjusted for volatility.
A simple linear regression is performed over a large lookback window (default: 1000 bars), which reveals the slope and intercept of the momentum line. These values are then used to construct:
A predicted momentum trendline across time.
Upper and lower deviation bands , representing ±n standard deviations of the regression residuals (errors).
These visual elements help traders judge how far current returns deviate from the modeled momentum trend, similar to Bollinger Bands but derived from a regression model rather than a moving average.
Key Metrics Provided
On each update, the indicator dynamically displays:
Momentum Slope (β₁): Indicates trend direction and strength. A higher absolute value implies a stronger effect.
Intercept (β₀): The predicted return when x = 0.
Pearson’s R: Correlation coefficient between x and y.
R² (Coefficient of Determination): Indicates how well the regression line explains the variance in y.
Standard Error of Residuals: Measures dispersion around the trendline.
t-Statistic of β₁: Used to evaluate statistical significance of the momentum slope.
These statistics are presented in a top-right summary table for immediate interpretation. A bottom-right signal table also summarizes key takeaways with visual indicators.
Features and Inputs
✅ Volatility-Adjusted Momentum : Reduces distortions from noisy price spikes.
✅ Custom Lookback Control : Set the number of bars to analyze regression.
✅ Extendable Trendlines : For continuous visualization into the future.
✅ Deviation Bands : Optional ±σ multipliers to detect abnormal price action.
✅ Contextual Tables : Help determine strength, direction, and significance of momentum.
✅ Separate Pane Design : Cleanly isolates statistical momentum from price chart.
How It Helps Traders
📉 Quantitative Strategy Validation:
Use the regression results to confirm whether a momentum-based strategy is worth pursuing on a specific asset or timeframe.
🔍 Regime Detection:
Track when momentum breaks down or reverses. Slope changes, drops in R², or weak t-stats can signal regime shifts.
📊 Trade Filtering:
Avoid false positives by entering trades only when momentum is both statistically significant and directionally favorable.
📈 Backtest Preparation:
Before running costly simulations, use this tool to pre-screen assets for exploitable return structures.
When to Use It
Before building or deploying a momentum strategy : Test if momentum exists and is statistically reliable.
During market transitions : Detect early signs of fading strength or reversal.
As part of an edge-stacking framework : Combine with other filters such as volatility compression, volume surges, or macro filters.
Conclusion
The Momentum Regression indicator offers a powerful fusion of statistical analysis and visual interpretation. By combining volatility-adjusted returns with real-time linear regression modeling, it helps quantify and qualify one of the most studied and traded anomalies in finance: momentum.
SymFlex Band - RSI-MAD Asymmetric
🔮 SymFlex Band – RSI-MAD Asymmetric Band by Kwang Il Lee
Source: surirang.com
The SymFlex Band is a unique asymmetric envelope built on a hybrid concept that fuses RSI momentum dynamics with MAD (Mean Absolute Deviation). Unlike traditional symmetric bands (like Bollinger Bands or Keltner Channels), this band expands and contracts asymmetrically, reflecting the directional momentum of the market.
🎯 Core Innovation
🔸 RSI-Based Asymmetry
This band is not centered merely on price volatility. Instead, it uses the RSI's deviation from the neutral line (50) to determine whether bullish or bearish pressure is dominating — dynamically expanding or compressing the upper/lower bands accordingly.
🔸 MAD-Weighted Scaling
To ensure the band responds accurately to real price deviation, MAD is used instead of standard deviation or ATR. It provides a more robust and median-sensitive envelope for noisy or volatile markets.
🔸 Dynamic Adaptation
The band is adaptive in both direction and width:
When RSI rises above 50, the upper band stretches wider.
When RSI falls below 50, the lower band stretches instead.
A minimum width threshold ensures stability.
📈 How to Use
Use breakouts from the band as potential trend signals.
Confirm market strength via table: Check if price is “In Range” or breaking out.
Monitor the correlation between MAD and RSI in the dynamic table to detect momentum sync.
🔍 Technical Notes
Supports multiple MA types (SMA, EMA, TEMA, DEMA, Zerolag, etc.) as the band basis.
Designed for both trend-following and range-trading interpretations.
Fully responsive to different market conditions through minimal user inputs.
🚨 Note: This is not a combination of unrelated indicators. The RSI-MAD structure is purpose-built to represent a new type of envelope based on directional momentum and deviation sensitivity.
