Supply/Demand Zones (Synthetic SMA Candles)Supply/Demand Zones (Synthetic SMA Candles)
Created by The_Forex_Steward
This indicator highlights institutional-style supply and demand zones using synthetic SMA-based candles rather than raw price data. It provides a smoother, more refined view of price action to help identify key imbalance areas where price is likely to react.
Features:
- Uses SMA-smoothed synthetic candles to detect bullish and bearish engulfing structures
- Draws demand zones after bullish breakouts and supply zones after bearish breakouts
- Zones are persistent for a customizable number of bars
- Mitigated zones can optionally be removed from the chart
- Includes alerts for breakout and mitigation events
- Optional plotting of synthetic candles over price for visual clarity
How It Works:
When a synthetic candle closes above the high of a previous bearish candle, a bullish engulfing is detected, and a demand zone is created from that bearish candle’s high and low. Conversely, when price closes below the low of a previous bullish candle, a supply zone is formed. These zones stay on the chart for the user-defined duration or until they are mitigated by price, at which point they can be removed automatically.
How to Use:
- Adjust the SMA Length to control how smooth the synthetic candles appear
- Enable or disable Show Supply Zones and Show Demand Zones as needed
- Set the Zone Duration to control how long each zone persists
- Use Delete Mitigated Zones to automatically remove zones when price returns to them
- Optionally enable Show Synthetic SMA Candles to see the candle logic used in detection
- Use the built-in alerts to stay notified of new zone creation or mitigation
Note: This tool is most effective when combined with structure or trend-based strategies for confirmation.
Moyennes mobiles
Fixed Market Path Predictionthis indicator is a line that is used to predict the way the market moves, if you combine it with my other indicator its better, go check it out.
Zero Lag Trend Strategy (MTF)🧠 Strategy Overview
The Zero Lag Trend Signals Strategy (MTF) is a high-precision, multi-timeframe trend-following system designed for traders seeking early trend entries and intelligent exits. Built around ZLEMA-based signal detection, based on the original indicator Zero Lag Trend Signals (MTF) from AlgoAlpha, now built as a strategy with several improvements for Exit Criteria include RR, ATR Stop Loss, Trailing stop loss, etc. See below.
This momentum strategy works much better for higher timeframes, typically 4 hours or higher. This particular combination only contains 57 trades because this captures larger trend moves. The dataset contains realistic commission and slippage. You can try to run this on a smaller timeframe, but you will need to try different combinations of length, band multiplier, risk-reward ratios, and other stop loss criteria.
🔍 Key Components
1️⃣ ZLEMA Trend Engine
ZLEMA (Zero-Lag EMA) forms the foundation of the trend signal system.
Detects bullish and bearish momentum by analyzing price action crossing custom ZLEMA bands.
Optional confirmation using 5-bar ZLEMA slope filters (up/down trends) ensures high-conviction entries.
2️⃣ Volatility-Based Signal Bands
Dynamic bands are calculated using ATR (volatility) stretched over 3× period length.
These bands define entry zones (outside the bands) and trend strength.
Price crossing above/below the bands triggers trend change detection.
3️⃣ Entry Logic
Primary long entries occur when price crosses above the upper ZLEMA band.
Short entries (optional) trigger on downside cross under the lower band.
Re-entry logic allows continuation trades during strong trends.
Filters include date range, ZLEMA confirmation, and previous position state.
4️⃣ Exit Logic & Risk Management
Supports multiple customizable exit mechanisms:
🔺 Stop-Loss & Take-Profit
ATR-Based SL/TP: Uses ATR multipliers to dynamically set levels based on volatility.
Fixed Risk-Reward TP: Targets profit based on predefined RR ratios.
Break-Even Logic: Automatically moves SL to entry once a threshold RR is hit.
EMA Exit: Optional trailing exit based on price vs. short EMA.
🔀 Trailing Stop
Follows price action using a trailing ATR-based buffer that tightens with trend movement.
🔁 Trend-Based Exit
Automatically closes positions when the detected trend reverses.
5️⃣ Multi-Option Trade Filtering
Enable/disable short trades, ZLEMA confirmations, re-entries, etc.
Time-based backtesting filters for isolating performance within custom periods.
6️⃣ Visual Feedback & Annotations
Trend shading overlays: Green for bullish, red for bearish zones.
Up/Down triangle markers show when ZLEMA is rising/falling for 5 bars.
Stop-loss, TP, trailing lines drawn dynamically on the chart.
Floating stats table displays live performance (PnL, win %, GOA, drawdown, etc.).
Trade log labels annotate closed trades with entry/exit, duration, and reason.
7️⃣ CSV Export Integration
Seamless export of trade data including:
Entry/exit prices
Bars held
Encoded exit reasons
Enables post-processing or integration with external optimizers.
⚙️ Configurable Parameters
All key elements are customizable:
Entry band length and multiplier
ATR lengths, multipliers, TP/SL, trailing stop, break-even
Profit target RR ratio
Toggle switches for confirmations, trade types, and exit methods
NCrypt30 Breadth Strategy (Long Only, SMA 60, 7% SL)Breadth indication is the top 30 coin on coinbase by marketcap excluding BTC ETH & Stables to show overall alts sentiment. Trade will trigger when breadth hits 0 = the top 30 tokens on coinbase are all under the 60sma on the 4hr timeframe. The strategy has the trade close when breadth hits 100 or hits the stop loss which i have set at 7%, although is changeable to your risk tolerance.
Donchian + EMA + T3 (RR 1:2) with 1H EMA FilterFinalized Trend Catcher Ema and T3 confirmation with 1h content table
BB + SMA5 반전 신호 (중복 방지 + 알림)This is an indicator that generates a sell signal when the 5sma reverses downward within the Bollinger Band.
Multiple timeframe SMAThe goal of this script is to give a quick overview of the SMA line in multiple timeframes.
Default SMA length is 200 but can be changed.
The 6 timeframes can also be adapted.
The result is shown in the bottom left corner as a table with red (bearish SMA) or green (bullish SMA) cells for each timeframe.
The SMA of the current timeframe is also plotted for your convenience.
CHN TAB# CHN TAB - Technical Analysis Bot
## Overview
The TAB (Technical Analysis Bot) indicator is a comprehensive trading signal system that combines Simple Moving Average (SMA) crossovers with MACD momentum analysis to identify high-probability entry and exit points. This indicator provides both immediate and delayed signal detection with built-in risk management through automatic Take Profit (TP) and Stop Loss (SL) calculations.
## Key Features
- **Dual Signal Detection**: Combines SMA(50) price action with MACD momentum
- **Smart Signal Timing**: Offers both immediate and delayed signal recognition
- **Automatic Risk Management**: Calculates TP and SL levels using ATR (Average True Range)
- **Visual Feedback**: Color-coded candles and filled zones for easy identification
- **Comprehensive Alerts**: Three distinct alert conditions for different trading needs
## How It Works
### Buy Signals
**Immediate Buy Signal:**
- Price crosses above SMA(50) (open < SMA50 and close > SMA50)
- MACD crosses above zero line simultaneously
**Delayed Buy Signal:**
- Previous candle crossed above SMA(50)
- Previous MACD was ≤ 0, current MACD > 0
- Current candle remains above SMA(50)
### Sell Signals
**Immediate Sell Signal:**
- Price crosses below SMA(50) (open > SMA50 and close < SMA50)
- MACD crosses below zero line simultaneously
**Delayed Sell Signal:**
- Previous candle crossed below SMA(50)
- Previous MACD was ≥ 0, current MACD < 0
- Current candle remains below SMA(50)
### Risk Management
- **Take Profit**: Entry price ± 1.0 × ATR(14)
- **Stop Loss**: Entry price ± 1.5 × ATR(14)
- **Risk-Reward Ratio**: Automatic 1:1.5 setup
## Visual Elements
- **Green Candles**: Buy signal triggered
- **Red Candles**: Sell signal triggered
- **Orange Line**: Entry price level (displayed for 10 bars)
- **Green Fill**: Take profit zone
- **Red Fill**: Stop loss zone
## Alert System
1. **TAB Buy Signal**: Triggers only on buy signals
2. **TAB Sell Signal**: Triggers only on sell signals
3. **TAB Buy & Sell Signal**: Triggers on any signal (buy or sell)
## Best Practices
- Use on trending markets for better signal quality
- Combine with higher timeframe analysis for confirmation
- Consider market volatility when interpreting ATR-based levels
- Backtest on your preferred timeframes before live trading
## Technical Parameters
- **SMA Period**: 50
- **MACD Settings**: 12, 26, 9 (Fast, Slow, Signal)
- **ATR Period**: 14
- **Signal Display**: 10 bars duration
## Timeframe Recommendations
- Works on all timeframes
- Best performance on 15M, 1H, and 4H charts
- Higher timeframes provide more reliable signals
## Risk Disclaimer
This indicator is for educational and informational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Always conduct your own analysis and consider your risk tolerance before making trading decisions.
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**Version**: 6.0
**Overlay**: Yes
**Category**: Trend Following, Momentum
**Suitable For**: Forex, Stocks, Crypto, Commodities
Fin Viraj Setup - Clean ArrowsSimple to use
Useful for Nifty & Bank Nifty
5 min & 15 min time frame
Best to Short CE or PE than buying them
One Line RuleOne Line Rule – Momentum-Based EMA Signal Indicator
The One Line Rule is a precision tool that combines market momentum with volume confirmation, built around a single, dynamic trend line. This line is the average of the EMA 22 and EMA 200, providing a balanced view of short- and long-term trend bias.
🧠 How It Works:
Trend Line Color:
🟢 Green: Bullish momentum (EMA 22 above EMA 200)
🔴 Red: Bearish momentum (EMA 22 below EMA 200)
⚪ Gray: Neutral momentum (sideways movement within a small threshold)
Signal Logic:
✅ Buy Signal: When price crosses above the line from below on high volume (momentum must be bullish)
❌ Sell Signal: When price crosses below the line from above on high volume (momentum must be bearish)
🔇 No signals are generated during neutral (gray) phases to avoid noise
Smoothing: Optional smoothing of the line to better capture trend structure
Volume Filter: Customizable volume threshold ensures signals only trigger during significant moves
Fibo_Ma with Toggleable 200 EMA FilterPlease keep in mind, I use this indicator most with my TV_ MCDX.
If you use it in lower Timeframe like 15sec, 1min, use a Higher Background Timeframe like 15min or 1H
📈 Fibo_Ma with Toggleable 200 EMA Filter
Fibo_MA is a comprehensive multi-functional indicator designed to enhance your trend analysis, breakout detection, and signal confirmation strategy.
🔍 Core Logic Overview
📊 Background Color Highlights
The script dynamically colors the chart background based on price action relative to a customizable smoothing line (smooth1).
🟩 Green background appears when the open price is above the smooth1, signaling potential bullish conditions.
🟥 Red background shows when the open price is below the smooth1, suggesting bearish pressure.
📏 200 EMA Filter
A built-in 200-period Exponential Moving Average (EMA) acts as a long-term trend filter.
The 200 EMA line changes color to reflect momentum:
🟢 Green when trending upward
🔴 Red when trending downward
🎯 Signal Alerts
Receive buy alerts when the open crosses above smooth1.
Receive sell alerts when the open crosses below smooth1.
Alert conditions are filterable and customizable for precise notifications.
⚙️ Custom Features and Flexibility
Choose from various moving average types for smooth1: EMA, SMA, WMA, VWMA, ALMA, SWMA, and even VWAP.
Configure alert conditions for:
EMA 200 crossovers with smoothing line
Trend crossovers using Fibonacci-based EMA selections
Breakout and breakdown formations with custom pivot logic
Optional ATR and Volume filters for refining entry quality.
Built-in VWAP, EMA 14 (color-coded), and multi-timeframe support for high-precision analysis.
🔔 Alerts Included
✅ Price crosses above or below smoothing line (smooth1)
✅ Breakout and breakdown patterns
✅ EMA 200 crossovers
✅ Custom trend-following EMA cross labels
This script is ideal for traders who want to combine trend strength, volume confirmation, and technical breakouts with intuitive visual cues. Perfect for intraday or swing trading strategies.
ℹ️ Use this tool in conjunction with your trading strategy. Always backtest before live trading.
EMA 52W 65-80% Down ShiftShifted EMA 52W. Useful in identifying the low points of medium- and long-term trends on altcoins. EMA 52 W - Annual Trend A 65-75% downward shift relative to the current position potentially indicates deep drawdowns for most investor participants and can serve as an approximate zone for a medium-term rebound or trend reversal.
10 Moving AveragesHere's a comprehensive description for your TradingView indicator:
# 10 Moving Averages Indicator
A versatile technical analysis tool that displays 10 customizable moving averages on your chart. This indicator combines multiple types of moving averages to help traders identify trends, support/resistance levels, and potential trading opportunities.
### Features:
- 10 fully customizable moving averages
- Support for multiple MA types: SMA, EMA, RMA, WMA, VWMA, SMMA, HullMA, DEMA, TEMA, and VWAP
- Individual color settings for each moving average
- Adjustable source data and length for each MA
- Default configuration optimized for trend analysis:
- MA1-5: EMAs (10, 20, 30, 50, 100)
- MA6-10: SMAs (150, 200, 250, 300, 350)
### Available Moving Average Types:
- SMA (Simple Moving Average)
- EMA (Exponential Moving Average)
- RMA (Rolling Moving Average)
- WMA (Weighted Moving Average)
- VWMA (Volume Weighted Moving Average)
- SMMA (Smoothed Moving Average)
- HullMA (Hull Moving Average)
- DEMA (Double Exponential Moving Average)
- TEMA (Triple Exponential Moving Average)
- VWAP (Volume Weighted Average Price)
### Usage:
This indicator is particularly useful for:
- Multiple timeframe analysis
- Trend identification
- Support and resistance levels
- Price action confirmation
- Trading strategy development
### Customization:
Each moving average can be individually customized with:
- Source data (close, open, high, low, hl2, hlc3, ohlc4)
- MA type
- Length
- Color
### Note:
The default color scheme follows a rainbow pattern for easy visual distinction, starting with red for the fastest MA and ending with gray for the slowest MA.
Feel free to adjust the settings to match your trading strategy and preferences.
Multi-Indicator Trend-Following Strategy v7This strategy is a trend-following system that combines multiple technical indicators into a single, optimized indicator to help identify high-probability Buy and Sell opportunities while maintaining a clean and uncluttered chart.
✅ How It Works:
This script utilizes a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Volume, MACD, and Average True Range (ATR) to determine trade entries and exits.
🟢 Buy Conditions:
Trend Crossover Entry:
A Buy signal is generated when the Fast EMA crosses above the Slow EMA, indicating a potential bullish trend.
Oversold Reversal Entry:
Alternatively, a Buy is triggered when:
The Slow EMA is significantly below the Fast EMA (oversold market behavior),
The current price is well below the Fast EMA,
A volume spike occurs, suggesting a possible reversal.
🔴 Sell Conditions:
Trend Crossover Exit:
A Sell signal is generated when the Fast EMA crosses below the Slow EMA, indicating a bearish shift.
Overbought Reversal Exit:
A Sell is triggered when:
The Slow EMA is above the Fast EMA by a wide margin,
The price is well above the Fast EMA,
A volume spike suggests downward reversal pressure.
📏 Risk Management:
Uses ATR-based stop-loss and take-profit levels to dynamically manage risk per trade.
Includes adjustable input options for ATR multipliers, moving average lengths, volume filters, and more.
🧩 Why Use This Strategy?
Rather than juggling multiple indicators manually, this script combines and simplifies them into a single, convenient strategy. It’s ideal for traders who want:
Clean visual signals,
Robust entry/exit logic backed by volume and trend behavior,
A modular and customizable setup for testing and optimization.
⚠️ Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always backtest strategies thoroughly and use proper risk management when trading live.
Simple MA AI Strategy + All Pattern Recognition (Reversed)just try m1 chart only 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
NA GPT - TTM Squeeze Strategy**NA GPT - TTM Squeeze Strategy**” transforms the well-known TTM Squeeze indicator into a back-testable, long-only strategy.
It combines **volatility compression** (Bollinger Bands inside Keltner Channels) with **momentum confirmation** to catch powerful bullish breakouts and then trails positions with a simple 21-period moving-average stop.
---
## 1. Core Concepts & Calculations
| Component | What it measures | How it works |
| ---------------------- | ------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Squeeze State** | Volatility contraction vs. expansion | • Calculate a 20-period Bollinger Band (BB). • Calculate a 20-period Keltner Channel (KC). • **Squeeze ON** when the entire BB is *inside* the KC (narrow volatility). |
| **Momentum Histogram** | Direction & strength of pressure building inside the squeeze | • Compute the midpoint of the recent high/low range and the 20-period SMA of close. • Take the price’s deviation from that blended average. • Fit a **20-period linear regression** to that deviation to produce the histogram. • Color logic: ↗ increasing green/lime for strengthening bulls, ↘ red/maroon for bears. |
| **Blue-Dot Theme** | Visual cue of squeeze state | • **Navy-blue dot** = Squeeze ON (ready to pop). • **Steel-blue dot** = Squeeze just released. • **Sky-blue dot** = Neutral (no squeeze). |
---
## 2. Trade Logic
| Step | Condition | Rationale |
| ---------------- | ------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------- |
| **Entry (Long)** | Three consecutive navy-blue dots (i.e., **3 bars with Squeeze ON in a row**) *inside the user-defined date window*. | Requires sustained volatility compression before committing capital, filtering out one-bar “fake” squeezes. |
| **Exit (Flat)** | Close price **crosses below** the 21-period Simple Moving Average. | A classic trailing stop that lets profits run while cutting momentum failures. |
| **Positioning** | Long-only, one trade at a time. No short sales. | Focuses on bullish breakouts, keeps strategy simple and margin-friendly. |
---
## 3. Inputs & Customisation
| Input | Default | Purpose |
| -------------------------- | ------------------------ | ---------------------------------------------- |
| **BB Length / Multiplier** | 20 / 2.0 | Adjust sensitivity of Bollinger Bands. |
| **KC Length / Multiplier** | 20 / 1.5 | Adjust Keltner Channel width. |
| **Use True Range (KC)** | ✔ | Pick *True Range* vs. *High-Low* for KC width. |
| **Trade Window** | 1 Jan 2022 → 31 Dec 2069 | Back-test only the period you care about. |
| **Commission** | 0.01 % | Embedded in `strategy()` header. |
| **Slippage (Ticks)** | 3 | Models real-world order fill uncertainty. |
---
## 4. Visual Outputs
* **Momentum Histogram** (green / lime / red / maroon).
* **Zero Line** colored by squeeze state (blue / dark navy / grey).
* **Blue-Dot Row** at the chart bottom showing squeeze timing.
The visuals are **identical** to the original indicator, letting you correlate back-test trades with familiar chart cues.
---
## 5. How to Use
1. **Add to chart**, choose your symbol & timeframe (works on anything from 1-minute to weekly).
2. **Tune the BB/KC/ATR settings** to match instrument volatility.
3. **Adjust the date window** for focused walk-forward testing.
4. Run the “**Strategy Tester**” to inspect historical performance, P\&L; curves, drawdowns, and trade list.
5. Use the plotted dots & histogram to visually validate why each trade fired.
6. Combine with your own risk-management (position sizing, portfolio filters, etc.) before going live.
---
## 6. Practical Notes
* Designed for educational/back-testing purposes—**not financial advice**.
* Long-only by design; add your own short logic if desired.
* Because exits rely on the 21-SMA, extremely low-volume instruments or illiquid intraday timeframes may experience wider drawdowns.
* Commission/slippage values are easily editable in the first line of the script.
Avg Volatility IndexThis indicator calculates the asset’s logarithmic volatility and overlays a 14-day moving average. It is designed for pair trading to compare the relative volatility of two assets and determine risk-balanced position sizing. Higher volatility implies a smaller recommended position weight.
Trend System - Bands (H1)Band indicator to help identify trends on H1. Note turn off signals and just use band as is
Sarjana Crypto TrendMaster + EMA 20/50/100/200It combines moving averages, a custom SuperTrend, and Heikin Ashi smoothing to help you spot trend direction and filter clean buy/sell signals.
This tool doesn’t predict — it reacts smartly to trend changes.
It's ideal for traders who want clear, filtered signals backed by trend logic and EMAs.
Dashboard TrendsMA Dashboard Trend Lights
This indicator displays a real-time dashboard of market trend signals across multiple timeframes using the 22 EMA vs 200 EMA crossover method:
Green = Bullish (22 EMA above 200 EMA)
Red = Bearish (22 EMA below 200 EMA)
The dashboard covers the following timeframes:
1 minute
10 minute
30 minute
4 hour
1 day
A summary signal aggregates all five lights to classify overall market sentiment as:
Strong Bull (5 green)
Bull (4 green)
Mixed (2–3 green)
Bear (1 green)
Strong Bear (0 green)
📈 Interpretation Tips:
When the short-term timeframes (1m, 10m, 30m) are red while the 4h and 1d are green, the market is likely in a short-term pullback within a larger bullish trend.
If the short-term timeframes are green but the 4h and 1d are red, this could signal a bear market rally or a dead cat bounce — a temporary rise in a longer-term downtrend.
Dashboard Trendstime frame indicator showing bullish move or bearish all based on the 22ema vs the 200ema for each frame
Trend System - Bands (H4)A band indicator on the h4 timeframe designed to assist with catchig h4 trend moves