Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution
Strategy Overview
This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade.
Core Concepts
• Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns.
• Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals.
• Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price.
Key Features
Fully customizable aggregation factor for zone detection
Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels
Optional removal of mitigated zones for cleaner charting
Configurable trade mode (Long only, Short only, or Both)
Support for trading sessions and date filtering
Alerts for price entering supply or demand zones
How to Use
Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe).
Enable Zones: Turn on supply and/or demand zones as needed.
Set Execution Parameters:
– Choose R-multiple (e.g., 2:1 risk-reward)
– Or use a fixed take-profit price
Define Trade Time Window:
– Set the date and time ranges to restrict execution
– Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York)
Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility.
Ideal For
• Traders using Smart Money Concepts (SMC)
• Those who value high-confluence entries
• Intraday to swing traders looking for structure-based automation
⚠️ Important Notes
• The strategy requires engulfing confirmation within the zone to enter a position.
• This script does not repaint and executes trades on a bar close basis.
• Backtest results may vary based on session filters and aggregation factor.
© Attribution
This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0.
You are free to use, modify, and distribute it under the terms of that license.
Trend Analizi
3 EMA Trend Strategy (Locks Trailing Stop Tightening)3 EMA Trend Strategy (with Trailing Stop Tightening)
This open-source strategy uses three Exponential Moving Averages (7, 21, 35) to detect bullish alignment and trigger long entries during strong upward trends.
* Entry Logic:
A long trade is triggered when EMA 7 > EMA 21 > EMA 35. This alignment signals a confirmed uptrend.
* Exit Logic:
The strategy uses a trailing stop mechanism.
An initial stop (e.g., 10%) follows the high since entry.
Once profit reaches a customizable threshold (e.g., 20%), the trailing stop tightens (e.g., to 5%) to help lock in gains.
* Backtest Settings (default):
Starting capital: $10,000
Commission: 0.1%
Slippage: 1 tick
Position sizing: 100% of equity per trade (can be reduced to lower risk)
* Customization:
All trailing logic and EMA settings are configurable.
Designed for swing trading and adaptable for multiple timeframes.
⚠️ This is for educational purposes only. Always test on different symbols and timeframes before using in live environments.
Global M2 Money Supply (USD)Global M2 Money Supply from multiple markets, with days-offset option, defaulted to 107-day shift. Credit to miguelfinance and dylanleclair, on which this script is built on
Auto Fractal [theUltimator5]This indicator is what I call the Auto Fractal. It is a unique algorithm that looks back in time, finds a segment on the chart that closest matches the recent price action, then projects the price forwards. It effectively finds chart patterns and shows you what the price did the last time the same/similar chart pattern was observed.
Creating an algorithm to match abstract curves to other abstract curves and provide a confidence score was the fundamental problem that needed to be solved in order to create this indicator, which curve matches with surprising accuracy.
The most effective method to "curve match" that I found is the Pearson Coefficient, set by a segment length and a lookback period. After the highest coefficient curve is located, the curve then gets scaled and offset to match the current price.
The past segment is drawn over the current price (orange line), giving a visualization of the two curves and how closely they match each other. The indicator then projects the price forwards in time based on the price action of the chart from the historical segment (dashed fuchsia line).
A bounding box also gets drawn around the historical segment to give you a clear visual of where the price is getting pulled from for proper analysis and ease of use.
The Pearson Coefficient % is shown in a table in the top right-hand corner of the chart and can be toggled off if desired. The values range from -100% (perfectly inverse correlation) to +100% (perfectly correlated) with 0 meaning no correlation whatsoever. The closer to +100% the value is, the better the segment match.
As with most/all of my indicators, user interface and simplicity was at the top of my priority list. I designed this to be easily readable and intuitive to both novice and veteran traders, without cluttering the chart.
Note:
This indicator is extremely heavy in terms of memory usage due to nested for loops, and takes several seconds to initially load the chart overlay. If the lookback period is increased too high (>600) then the indicator may time out and fail to load anything. If nothing loads on the chart, try reducing the lookback length and wait up to 10 seconds for lines to appear.
AZRO Systems XRP Top/Bottom Indicator — Invite-Only (v1.0.3)AZRO Systems – XRP Top/Bottom Indicator — Invite-Only
VERSION v1.0.3 — first invite-only release
──────────────────────────────────────────────────────
WHAT IT DOES
• EARLY signal prints intra-bar when any of the multi-factor recipes is triggered.
• CONFIRMED signal prints after the weekly candle closes.
(If the Soft-Confirm filter is ON, a TOP must first pull back ≈30 % of ATR-90 before it can be confirmed.)
• Adds large green/red labels and a light bar-tint once confirmed.
• Historical testing shows materially lower draw-downs vs. passive holding while still capturing each macro upswing.
HOW IT WORKS (concept level – exact thresholds are locked)
1) Macro-Rotation Gauge – BTC-dominance extremes flag regime shifts that often precede alt-coin pivots.
2) Asset-Share Pivot – XRP market-cap share filters out false RSI spikes.
3) Momentum-Stress Check – Weekly RSI level plus an ATR-based pull-back filter captures exhaustion without waiting for close.
A label prints when any recipe combining these lenses meets its criteria, greatly reducing false signals versus single-factor scripts.
HOW TO USE
1) Chart: XRP-USD · 1-WEEK (lower time-frames unsupported)
2) Watch: Early label → light tint on Confirmed close
3) Alerts:
• Early Bottom / Early Top → ONCE PER BAR
• Confirmed Bottom / Confirmed Top → ONCE PER BAR CLOSE
USER-VISIBLE INPUTS
• Label distance (% ATR-90) – offset for label placement. (Default 50)
• Light-mode palette – swap colours for bright themes. (Default OFF)
• Soft-Confirm filter – ON waits for ≈30 % ATR pull-back on tops; OFF prints faster tops. (Default ON)
• Warning checkbox – visual reminder only; no effect on signals. (Default OFF)
ROAD-MAP
A BTC preset and an intraday scalp mode for XRP/BTC will be added to this same invite-only script — never separate listings.
LIMITATIONS & DISCLAIMER
• Designed only for the weekly timeframe; extreme events can override any model — always manage risk.
• Educational tool — not financial advice. Past performance ≠ future returns.
Trend Regime with MA & Volatility✅ Trend signal combining: Price (MA), Momentum (RSI), Volatility (ATR)
✅ Bullish = Green background
✅ Neutral = Yellow background
✅ Bearish = Red background
✅ Fast/Slow MA + ATR plots
✅ Entry signal arrows
Trend Regime BackgroundGreen Background → Strong bullish signal across trend, momentum, and volatility.
Yellow Background → Neutral regime (mixed signals).
Red Background → Bearish trend with weakening momentum and rising risk.
Institutional Intraday Master (No Loops)📊 Institutional Intraday Master Indicator: How-To Guide for New Traders
1. What Does This Indicator Do?
The Institutional Intraday Master is a custom TradingView script that helps you:
• Spot when big institutions (like hedge funds) might be buying or selling.
• Identify important price levels based on recent trading activity.
• Get clear buy (“INST LONG”) and sell (“INST SHORT”) signals.
• Manage risk with automatic stop (invalidation) signals.
2. Key Acronyms & Terms
Acronym Meaning
RSI Relative Strength Index (momentum measure)
POC Point of Control (price with most volume)
VAH Value Area High (top of high-volume zone)
VAL Value Area Low (bottom of high-volume zone)
ATR Average True Range (volatility measure)
MACD Moving Average Convergence Divergence
3. How to Add the Script to TradingView
1. Copy the full Pine Script code (see previous answer).
2. Open TradingView and go to the chart of your chosen stock or ETF (e.g., SPY, AAPL).
3. Click Pine Editor at the bottom of the screen.
4. Paste the code into the editor.
5. Click Add to Chart (or “Save” then “Add to Chart”).
6. The indicator will appear on your chart with colored backgrounds, lines, and buy/sell signals.
4. What Do the Visuals Mean?
• Green Background:
Institutions are likely buying (bullish bias).
• Red Background:
Institutions are likely selling (bearish bias).
• Purple Dots (POC):
The price where the most volume traded in the last 30 bars (often a “magnet” for price).
• Gray Lines (VAH/VAL):
The top and bottom of the high-volume area—think of these as “fair value” boundaries.
• Blue Lines:
Recent breakout levels (upper = bullish breakout, lower = bearish breakout).
• Green “INST LONG” Label:
Suggested buy (long) entry.
• Red “INST SHORT” Label:
Suggested sell (short) entry.
5. How to Use for Day Trading
A. Setup
• Use a 5-minute or 15-minute chart for intraday trading.
• The indicator will automatically update key levels and signals.
B. Entry Signals
• Buy (Long):
• When you see a green “INST LONG” label, and the background is green.
• Example: Price breaks above the blue upper band with strong volume.
• Sell (Short):
• When you see a red “INST SHORT” label, and the background is red.
• Example: Price breaks below the blue lower band with strong volume.
C. Risk Management
• The script uses ATR (Average True Range) to suggest stop-loss distances.
• Stop out (invalidation):
• If you’re long and price closes below the gray VAL line or drops by more than 1 ATR from the last low, consider exiting.
• If you’re short and price closes above the gray VAH line or rises by more than 1 ATR from the last high, consider exiting.
D. Take Profit
• Consider taking profit at the next major volume level (POC, VAH/VAL) or when a reversal signal appears.
6. Example Trade
Let’s say you’re trading SPY on a 5-minute chart:
• The background turns green, and a green “INST LONG” label appears at $590.
• The purple POC dot is at $592, and the gray VAH is at $593.
• Trade Plan:
• Enter long at $590.
• Set a stop-loss at $588 (2 ATR below entry).
• Target $592 (POC) or $593 (VAH) for profit.
If price reaches $592 and starts to stall, you might take profit. If price falls to $588, you exit for a small loss.
7. Keys to Watch for Invalidation
• Invalidation means your trade setup is no longer valid.
• For longs:
• Price closes below VAL or makes a new low by more than 1 ATR.
• For shorts:
• Price closes above VAH or makes a new high by more than 1 ATR.
• Always honor your stop-loss!
8. Tips for Success
• Don’t trade every signal. Wait for confirmation (e.g., strong volume, trend in your favor).
• Practice on a simulator before using real money.
• Adjust settings (like ATR multiplier or volume profile length) to fit your style and the asset’s volatility.
9. Illustration Key
• ! ( i.imgur.com background = institutional buying, purple dot = POC, blue line = breakout, green label = buy signal.*
10. Summary Table
Visual/Signal Meaning What To Do
Green background Institutional buying Favor long trades
Red background Institutional selling Favor short trades
Purple dot (POC) Volume magnet/target Use as profit/entry/exit level
Blue line Breakout level Watch for breakouts
Green label Buy (long) signal Consider entering long
Red label Sell (short) signal Consider entering short
Gray lines (VAH/VAL) Value area boundaries Use for stops and targets
US30 Daily Trade FinderElevate Your US30 Trading with Daily Trade Finder
Welcome to the next evolution in breakout-based trading on Daily Trade Finder v1.0—for US30 (Dow Jones). Designed by FX DISTRIBUTION for traders who demand clarity, consistency, and built-in risk control, this invite-only indicator cuts through the noise and delivers high-probability entry signals every New York session.
✨ What It Does
Session-Based Breakout Detection
Tracks the Asian session’s high and low (automatically highlighted on your chart).
Monitors London’s liquidity sweeps of those Asian extremes to determine directional bias (bullish if the Asian high is breached, bearish if the Asian low is pierced).
During the New York session, fires a “Buy” or “Sell” label whenever price closes beyond the prior session range in the direction of your bias.
Fixed & Dynamic TP/SL Calculation
Fixed Mode: Uses a Simple “Pip Offset” for Stop-Loss and Take-Profit (30–50 pips SL, 75–100 pips TP by default).
Dynamic ATR Mode: Automatically adjusts your SL/TP based on real-time market volatility (ATR), so you never risk being prematurely stopped out during high-volatility episodes or leaving money on the table in tight ranges.
Built-In Backtest Dashboard
On the final bar of your replay or live chart, a compact, on-screen table displays:
Total Entries
Wins vs. Losses
Win Rate (%)
Average Profit per Trade (%)
Total Profit (%)
No need for external export—see exactly how the indicator has performed over your chosen timeframe, so you trade with confidence rather than guesswork.
On-Chart Trade Labels & Alerts
Entry Labels: Green “Buy” arrows and red “Sell” arrows appear precisely when conditions align.
Exit Labels: Clearly marks “Exit Long” or “Exit Short” at TP levels if your SL/TP is hit and if the “Show Exit Point” option is enabled.
Customizable Alerts: Receive native TradingView push, email, or pop-up alerts when a signal fires or a TP/SL is reached—never miss a key move again.
🏆 Why It’s Unique
Integrated Session Logic + Breakout Edge: Most breakout tools simply watch price vs. a static range. Daily Trade Finder layers on ICT session philosophy—filtering Asian ranges, waiting for London sweeps, and then only trading in New York. This three-step filter drastically reduces false signals.
Adaptive Risk Management: Instead of forcing a one-size-fits-all pip offset, our Dynamic ATR mode scales every SL/TP to the market’s current volatility—giving you breathing room in wild markets and tighter exits in calm markets.
Transparency with Backtest Metrics: Built-in, on-chart backtesting metrics mean you see your win rate and profitability at a glance without exporting data to spreadsheets or Blockchain. You’ll know in real time if your set-and-forget strategy really works.
Invite-Only, Protected Code: The logic is proprietary to FX DISTRIBUTION. By keeping this indicator invite-only, we ensure you have a dedicated support channel and a hand-picked community of serious US30 traders.
⚙️ How It Works (Step-by-Step)
Add ICT Session Marker (Optional)
Drop the ICT Sessions indicator on your US30 chart to color-code Asian, London, and New York blocks for clearer context.
Add Daily Trade Finder to Your 5 Min (or 3 Min) US30 Chart
Confirm your inputs:
Market Open Time: Set your broker’s UTC-offset so “New York” session aligns correctly.
TP/SL Mode: Select “Fixed” (30–50 pip SL, 75–100 pip TP) or “Dynamic ATR” (custom ATR length & multipliers).
Show Exit Labels: Toggle on if you want to see exactly where TP or SL triggered.
Identify Bias via London Sweep
During 2 AM–5 AM EST (London session), wait for price to break above the prior Asian High (bullish bias) or below the prior Asian Low (bearish bias).
If no clear sweep, skip the day or wait for retest—there is no forced entry.
Trade in New York Session (7 AM–10 AM EST)
On the 5 Min (or 3 Min) chart, watch for a “Buy” label (green arrow) if bullish bias, or a “Sell” label (red arrow) if bearish bias.
Execute market order immediately at label’s candle close.
Set Stop-Loss & Take-Profit
SL: 30–50 pips away from entry. With a R 1 500 starting balance on US30, we recommend 0.01 lots (30 pip SL ≈ R 12 = ~0.8 % risk).
TP: 75–100 pips (1 – 2 Risk:Reward). If price reaches TP, you’ll see an “Exit Long” or “Exit Short” label.
Review Backtest Dashboard
As soon as the final bar of your replay or live chart loads, your on-screen table shows your results: number of signals, wins/losses, win rate, average % return per trade, and total % profit.
Use this immediate feedback to adjust your session times, TP/SL preferences, or risk tolerance if needed.
🚀 Benefits for Traders
Clarity Over Noise: Rather than guessing which breakout to follow, you see exactly when and why those breakouts occur (session sweeps).
Automated Precision: One click installs, and all key SL/TP levels auto-calculate in real time—no need for manual pip counting.
Built-In Proof of Concept: The dashboard quantifies your edge in seconds—no more “back-of-the-napkin” calculations or Excel exports.
Invite-Only Community: By maintaining a private roster, we ensure each user has direct support, receives update notices, and trades alongside other committed US30 specialists.
Scalable Risk Control: Whether you’re starting with R 1 500 or R 150 000, simply adjust your lot size and the indicator’s built-in rules keep your risk at 1–2 % per trade.
Final Thoughts
Daily Trade Finder v1.0 marries ICT session logic with real-time breakout filtering and adaptive risk controls, all packaged into a slick, on-chart dashboard. For serious US30 (Dow Jones) traders, this is not just another indicator—it’s a complete, invite-only toolkit designed to minimize guesswork, maximize clarity, and put your edge firmly in your corner.
Ready to trade like a pro? Request your invite now and join the FX DISTRIBUTION community of high-performance US30 breakout specialists. Good luck, and trade with confidence!
Elev8+ Reversal IndicatorElev8+ Reversal Indicator from Elev8Trading.com. Detects possible reversal points especially in combination with support or resistance levels, moving averages, areas of liquidity, etc. Great for scalping on smaller time frames and trend reversals on higher time frames.
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \
\Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\Calculation\
\
\ \Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\Interpretation\
\
\ \Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\Usage Notes & Warnings\
\
\ \Never Use DI in Isolation\
It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \Parameter Selection\
• \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing.
• \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
6MA Fill Indicator MTF (Paired, SMA/EMA Selectable)6MA Fill Indicator MTF（移動平均ペア塗り分けインジケーター）
This indicator displays 3 customizable pairs of moving averages (MA), each on any selectable timeframe and type (SMA or EMA), with fill coloring to visually indicate trend direction between short and long MA within each pair.
このインジケーターは、最大3ペア（計6本）の移動平均線を異なる時間軸と種類（SMAまたはEMA）で表示し、ペア間を色で塗り分けることで、トレンドバイアスの視認性を向上させます。
Features / 機能説明
3 MA pairs configurable individually
(type, length, timeframe for each MA)
3つのMAペアそれぞれに対し、期間・種類・時間軸を個別に設定可能
Color fill between each MA pair
Blue fill if short MA > long MA (bullish bias)
Red fill if short MA < long MA (bearish bias)
各ペア内で短期MAが長期MAを上回ると青、下回ると赤で塗りつぶし表示
Multi-timeframe support
任意の時間足（MTF）に対応し、中長期のトレンド認識に有効
Use Cases / 主な用途
Multi-timeframe trend alignment
複数時間軸でのトレンド整合性確認
Trend-following strategy support
トレンドフォロー系戦略の補助
Quick visual market context recognition
トレンド環境の視覚的な高速把握
TrendisYourFriendThis script provides a trend indicator which seems quite reliable on the daily timeframe when applied to crypto currencies.
Triple RSI with Trend Background**Triple RSI Indicator – Description & Usage Guide**
### 🔍 **What It Is**
The **Triple RSI Indicator** is a custom TradingView tool that visualizes **three Relative Strength Index (RSI)** values on the same panel (default periods: **9, 13, 21**) and highlights trend direction using **colored backgrounds**.
It helps traders quickly identify:
* **Bullish momentum** when short-term RSI is leading
* **Bearish or weak momentum** otherwise
---
### ⚙️ **How It Works**
The script calculates:
* **RSI 1 (Fast)** — default period: 9
* **RSI 2 (Medium)** — default period: 13
* **RSI 3 (Slow)** — default period: 21
Then, it compares the values:
* ✅ **Bullish Condition**: RSI 9 > RSI 13 > RSI 21 → **Green Background**
* ❌ **Bearish Condition**: Any other order → **Red Background**
This logic helps spot when momentum is stacking in favor of buyers.
---
### 🧪 **Customization Options**
In the indicator settings panel, you can change:
* RSI lengths (`RSI 1`, `RSI 2`, `RSI 3`)
* Line colors and thickness for each RSI
* Background color for bullish (green) and bearish (red) conditions
---
### 📈 **How to Use It Effectively**
1. **Add the indicator to your chart** via Pine Script editor on TradingView.
2. **Look for green background** — this signals building bullish momentum (RSI stacking).
3. **Use it with other tools** like:
* **Volume spikes**
* **Breakouts above resistance**
* **MACD or EMA confirmation**
4. **Red background** suggests hesitation or bearish shift — consider avoiding long trades or managing risk.
---
### 🧭 **Ideal For**
* Momentum traders
* Swing traders
* Anyone who wants a visual RSI trend filter
3 Bar Reversal3 Bar Reversal
This pattern is described in John Carter's "Mastering the Trade"
The 3 Bar Reversal indicator is a simple but effective price action tool designed to highlight potential short-term reversals in market direction. It monitors consecutive bar behavior and identifies turning points based on a three-bar pattern. This tool can assist traders in spotting trend exhaustion or early signs of a reversal, particularly in scalping or short-term trading strategies.
How It Works
This indicator analyzes the relationship between consecutive bar closes:
It counts how many bars have passed since the price closed higher than the previous close (barssince(close >= close )) — referred to as an "up streak".
It also counts how many bars have passed since the price closed lower than the previous close (barssince(close <= close )) — known as a "down streak".
A reversal condition is met when:
There have been exactly 3 bars in a row moving in one direction (up or down), and
The 4th bar closes in the opposite direction.
When this condition is detected, the script performs two actions:
Plots a triangle on the chart to signal the potential reversal:
A green triangle below the bar for a possible long (buy) opportunity.
A red triangle above the bar for a possible short (sell) opportunity.
Triggers an alert condition so users can set notifications for when a reversal is detected.
Interpretation
Long Signal: The market has printed 3 consecutive lower closes, followed by a higher close — suggesting bullish momentum may be emerging.
Short Signal: The market has printed 3 consecutive higher closes, followed by a lower close — indicating possible bearish momentum.
These patterns are common in market retracements and can act as confirmation signals when used with other indicators such as RSI, MACD, support/resistance, or volume analysis.
Usage Examples
Scalping: Use the reversal signal to quickly enter short-term trades after a short-term exhaustion move.
Swing Trading: Combine this with trend indicators (e.g., moving averages) to time pullbacks within larger trends.
Confirmation Tool: Use this indicator alongside candlestick patterns or support/resistance zones to validate entry or exit points.
Alert Setup: Enable alerts based on the built-in alertcondition to receive instant notifications for potential trade setups.
Limitations
The 3-bar reversal logic does not guarantee a trend change; it signals potential reversals, which may need confirmation.
Best used in conjunction with broader context such as trend direction, market structure, or other technical indicators.
Enhanced Zones with Volume StrengthEnhanced Zones with Volume Strength
Your reliable visual guide to market zones — now with Multi-Timeframe (MTF) power!
What you get:
Clear visual zones on your chart — color-coded boxes that highlight important price areas.
Blue Boxes for neutral zones — easy to spot areas of indecision or balance.
Gray Boxes to show normal volume conditions, giving you context without clutter.
Green Boxes highlighting bullish zones where strength is showing.
Red Boxes marking bearish zones where weakness might be in play.
Multi-Timeframe Support:
Seamlessly visualize these zones from higher timeframes directly on your current chart for a bigger-picture view, helping you make smarter trading decisions.
How to use it:
Adjust the box width (in bars) to fit your trading style and timeframe.
Customize colors and opacity to suit your chart theme.
Toggle neutral blue and gray volume boxes on/off to focus on what matters most to you.
Set the maximum number of boxes to keep your chart clean and performant.
Why you’ll love it:
This indicator cuts through the noise by visually marking zones where volume and price action matter the most — without overwhelming your chart. The MTF feature means you’re always aligned with higher timeframe trends without switching views.
Pro tip:
Use these boxes as dynamic support/resistance areas or to confirm trade setups alongside your favorite indicators.
No complicated formulas here, just crisp, actionable visuals designed for clarity and confidence.
SMA 90 Crossover Signalمؤشر Samer MA Flow هو أداة فنية متقدمة تعتمد على ثلاثة متوسطات متحركة بسيطة (SMA) بفترات 45 و90 و180.
يعتمد المؤشر على سلوك السعر حول المتوسط 90 (الخط الأزرق) لتوليد إشارات دخول وخروج واضحة:
• إشارة شراء عندما يخترق السعر SMA 90 صعودًا.
• إشارة بيع عندما يكسر السعر SMA 90 هبوطًا.
كما يُظهر المؤشر SMA 45 و180 لمتابعة الاتجاه العام والزخم بشكل بصري واضح.
الميزات:
• إشارات دخول/خروج بسيطة وفعالة.
• يعرض SMA 45 / 90 / 180 بوضوح.
• يعمل على جميع الفريمات الزمنية.
• مناسب للمبتدئين والمحترفين.
• يمكن دمجه مع أدوات فنية أخرى
Samer MA Flow is an advanced yet simple indicator based on three Simple Moving Averages (SMA): 45, 90, and 180.
It generates clear buy and sell signals based on price interaction with the SMA 90 (the blue line):
• Buy signal when the price crosses above SMA 90.
• Sell signal when the price crosses below SMA 90.
The indicator also displays SMA 45 and 180 to help identify trend structure and momentum visually.
Features:
• Simple and effective entry/exit signals.
• Visualizes SMA 45 / 90 / 180.
• Works on all timeframes.
• Suitable for beginners and professionals.
• Easy to combine with other technical tools
Demand Index (Hybrid Sibbet) by TradeQUO\ Demand Index (Hybrid Sibbet) by TradeQUO \
\ Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\ Calculation\
\
\ \ Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \ Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \ Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \ Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \ Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \ Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \ Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\ Interpretation\
\
\ \ Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \ DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \ Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \ Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\ Usage Notes & Warnings\
\
\ \ Never Use DI in Isolation\
It is a \ filter\ and \ confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \ Parameter Selection\
• \ Vol EMA length (n₁)\ : Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \ Buy/Sell EMA length (n₂)\ : Typically 2 bars for fast smoothing.
• \ DI smoothing (n₃)\ : Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \ Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\ In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Adaptive Volume‐Demand‐Index (AVDI)Demand Index (according to James Sibbet) – Short Description
The Demand Index (DI) was developed by James Sibbet to measure real “buying” vs. “selling” strength (Demand vs. Supply) using price and volume data. It is not a standalone trading signal, but rather a filter and trend confirmer that should always be used together with chart structure and additional indicators.
---
\ 1. Calculation Basis\
1. Volume Normalization
$$
\text{normVol}_t
= \frac{\text{Volume}_t}{\mathrm{EMA}(\text{Volume},\,n_{\text{Vol}})_t}
\quad(\text{e.g., }n_{\text{Vol}} = 13)
$$
This smooths out extremely high volume spikes and compares them to the average (≈ 1 means “average volume”).
2. Price Factor
$$
\text{priceFactor}_t
= \frac{\text{Close}_t - \text{Open}_t}{\text{Open}_t}.
$$
Positive values for bullish bars, negative for bearish bars.
3. Component per Bar
$$
\text{component}_t
= \text{normVol}_t \times \text{priceFactor}_t.
$$
If volume is above average (> 1) and the price rises slightly, this yields a noticeably positive value; conversely if the price falls.
4. Raw DI (Rolling Sum)
Over a window of \$w\$ bars (e.g., 20):
$$
\text{RawDI}_t
= \sum_{i=0}^{w-1} \text{component}_{\,t-i}.
$$
Alternatively, recursively for \$t \ge w\$:
$$
\text{RawDI}_t
= \text{RawDI}_{t-1}
+ \text{component}_t
- \text{component}_{\,t-w}.
$$
5. Optional EMA Smoothing
An EMA over RawDI (e.g., \$n\_{\text{DI}} = 50\$) reduces short-term fluctuations and highlights medium-term trends:
$$
\text{EMA\_DI}_t
= \mathrm{EMA}(\text{RawDI},\,n_{\text{DI}})_t.
$$
6.Zero Line
Handy guideline:
RawDI > 0: Accumulated buying power dominates.
RawDI < 0: Accumulated selling power dominates.
2. Interpretation & Application
Crossing Zero
RawDI above zero → Indication of increasing buying pressure (potential long signal).
RawDI below zero → Indication of increasing selling pressure (potential short signal).
Not to be used alone for entry—always confirm with price action.
RawDI vs. EMA_DI
RawDI > EMA\_DI → Acceleration of demand.
RawDI < EMA\_DI → Weakening of demand.
Divergences
Price makes a new high, RawDI does not make a higher high → potential weakness in the uptrend.
Price makes a new low, RawDI does not make a lower low → potential exhaustion of the downtrend.
3. Typical Signals (for Beginners)
\ 1. Long Setup\
RawDI crosses zero from below,
RawDI > EMA\_DI (acceleration),
Price closes above a short-term swing high or resistance.
Stop-Loss: just below the last swing low, Take-Profit/Trailing: on reversal signals or fixed R\:R.
2. Short Setup
RawDI crosses zero from above,
RawDI < EMA\_DI (increased selling pressure),
Price closes below a short-term swing low or support.
Stop-Loss: just above the last swing high.
---
4. Notes and Parameters
Recommended Values (Beginners):
Volume EMA (n₍Vol₎) = 13
RawDI window (w) = 20
EMA over DI (n₍DI₎) = 50 (medium-term) or 1 (no smoothing)
Attention:\
NEVER use in isolation. Always in combination with price action analysis (trendlines, support/resistance, candlestick patterns).
Especially during volatile news phases, RawDI can fluctuate strongly → EMA\_DI helps to avoid false signals.
---
Conclusion The Demand Index by James Sibbet is a powerful filter to assess price movements by their volume backing. It shows whether a rally is truly driven by demand or merely a short-term volume anomaly. In combination with classic chart analysis and risk management, it helps to identify robust entry points and potential trend reversals earlier.
Green Trend and Adjustable Chop Zone Highlightallows for indication of when the indicator is green. Green means out of the chop and trending. Red means choppy and no trend.
FVGs, Env, BB and Knoxville - RKFVGs, Env, BB & Knoxville!
I'm excited to share my powerful Pine Script indicator, "FVGs, Env, BB and Knoxville - RK." This comprehensive tool brings together several essential technical analysis concepts into one seamless package, designed to give you a multi-faceted view of market dynamics directly on your charts. Whether you're hunting for potential price inefficiencies, gauging volatility, or spotting crucial divergence signals, I believe this script will streamline your analysis and help you make more informed decisions.
Key Features I've Packed In
I've built this indicator with a robust set of features, each highly customizable to fit your unique trading style:
Fair Value Gaps (FVGs) and Consequent Engulfment (CE): I've made sure the script automatically identifies and plots Fair Value Gaps (FVGs)—those essential areas of price imbalance—along with the Consequent Engulfment (CE) level within them.
Customizable Visibility: You can easily toggle "UP" (bullish) and "DOWN" (bearish) FVGs.
Color-Coded & Dynamic: I've added distinct colors for bullish and bearish FVGs and ensured they extend until they're mitigated. You also have the option to automatically remove filled boxes for a cleaner chart.
Candle Body vs. Wicks: I've included the choice to use candle bodies or wicks for FVG mitigation calculations.
Clear Labels: To keep things clear, I've added "FVG" text within each box, with adjustable text color and size.
Comprehensive Alerts: I've built in a variety of alerts for FVG events, including:
Price crossing above/below the threshold of the latest active FVG (based on your CE or Full Fill setting).
IOFED (Inefficiency, Order Flow, and Equilibrium Divergence) into the latest active FVG.
Simple alerts for the formation of confirmed and unconfirmed FVGs.
Thank you @twingall for sharing your FVG script, I have converted it to version 6 and optimized it for using it into this indicator.
Envelopes: I've integrated Envelopes to help you quickly assess price deviations from a moving average.
Flexible & Clear: Adjust the moving average length and percentage band deviation. You can choose between SMA and EMA for the centerline, and I've made sure the bands are filled for easy visual interpretation.
Bollinger Bands (BB): I've included classic Bollinger Bands to help you monitor market volatility and potential reversals.
Customizable: Adjust the period for the moving average and the standard deviation multiplier.
Multiple MA Types: You can select from SMA, EMA, SMMA (RMA), WMA, or VWMA for the band's basis.
Clean Visuals: I've made sure the area between the upper and lower bands is filled for improved readability.
Knoxville Divergence: I've added this powerful feature to help you spot potential trend reversals by detecting divergences between price action, RSI, and Momentum.
Integrated Analysis: It uses both RSI and Momentum to confirm divergence signals.
Precision Control: You can adjust the lookback periods for RSI and Momentum, define the maximum bars to look back for divergence, and set RSI overbought/oversold thresholds.
Intuitive Visuals & Alerts: I've made sure divergence lines are drawn directly on your chart with customizable colors, styles, and thickness. Plus, you'll get alerts when new Knoxville Bearish or Bullish Divergences are detected, helping you catch potential shifts early.
Getting Started
I've designed this script as an overlay indicator, so it plots directly on your price chart. Once you add it, simply click the "Settings" cogwheel. You'll find clearly organized sections for each component, allowing you to fine-tune every parameter and customize the visuals to your liking. The ability to toggle each component on or off offers ultimate flexibility, letting you focus on what's most relevant to your current analysis without any chart clutter.
I truly believe the synergistic combination of these indicators can significantly enhance your ability to make informed trading decisions. If you find this script valuable, please consider boosting it to show your support and encourage further development. Your feedback is highly appreciated as I continuously strive to improve.
I wish you all the best on your trading journey!
RT - Fair Value Gaps📉 Fair Value Gaps (FVG) Module – With Auto Flip to Support/Resistance (IFVG)
This indicator detects Fair Value Gaps (FVGs)—price inefficiencies often targeted by smart money—and flips them into support/resistance zones (IFVG) when invalidated.
🔍 Features:
Bullish & Bearish FVG Detection based on price displacement.
Custom Lifespan & Colors for zone visibility and theming.
Volume Filter to show only high-volume gaps.
Inverse FVGs (IFVGs): Zones auto-flip when broken, acting as potential support/resistance.
Fully customizable: adjust thresholds, colors, and enable/disable logic.
📈 Ideal for traders using Smart Money Concepts (SMC), ICT methods, or those who track price imbalances and institutional activity.
