Previous Day Candle [ApexFX]Previous Day Candle is a precision tool designed for intraday traders who rely on previous daily structures to find support and resistance.
While most indicators simply mark the previous high and low, this tool focuses on Session Continuity. It highlights the full 24-hour range of the previous day and extends those levels into the "Killzone" of the current trading day (up to 2:00 PM EST / 12:00 PM MST).
Why use this? Market reaction often occurs at the previous day's extremes. By extending these lines into the current session, you can easily spot:
Breakouts: Price pushing through yesterday's high.
Failed Auctions: Price sweeping yesterday's low and reversing.
Support/Resistance Flips: Old highs becoming new support.
Main Features:
Asset Class Presets: Don't worry about timezones. Simply select your market:
Forex: Aligns to the standard 5:00 PM EST New York Open.
Indices: Aligns to the 6:00 PM EST Globex Open.
Crypto: Aligns to UTC Midnight.
Custom: Full manual control for specific needs.
Visual "Boxing": Vertical dotted lines clearly demarcate the start and end of the previous trading day.
Dynamic History: Choose to show just yesterday's levels or look back at the last 5+ days.
Smart Color Coding: The indicator automatically cycles colors for each day (Blue = Yesterday, Green = 2 Days Ago, etc.), making it instant to read historical price action.
Best Used On: Intraday timeframes (5m, 15m, 1h).
Educational
Forward Returns – (Next Month Start)This indicator calculates 1-month, 3-month, 6-month, and 12-month forward returns starting from the first trading day of the month following a defined price event.
A price event occurs when the selected asset drops below a user-defined threshold over a chosen timeframe (Day, Week, or Month).
For monthly conditions, the script evaluates the entire performance of the previous calendar month and triggers the event only at the first trading session of the next month, ensuring accurate forward-return alignment with historical monthly cycles.
The forward returns for each detected event are displayed in a paginated performance table, allowing users to navigate through large datasets using a page selector. Each page includes:
Entry Date
Forward returns (1M, 3M, 6M, 12M)
Average forward return
Win rate (percentage of positive outcomes)
This tool is useful for studying historical performance after major drawdowns, identifying seasonal patterns, and building evidence-based risk-management or timing models.
Unbounded RSI (Logit)Unbounded RSI-based oscillator using a logit transform for clearer momentum and divergence signals near extremes.
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum.
The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex.
This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values correspond to a stable and calm market environment, and lower values indicate periods of increased risk and potential liquidity stress.
LT generates an integral liquidity index in the range based on five normalized components:
-nVol — normalized volume, reflecting trading density and activity.
-nATR — the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity.
-nRange — the normalized candlestick range, also inverted to assess the structural narrowness of the price movement.
-nBody — the normalized candlestick body size (|close − open|), inverted to assess the balance of supply and demand.
-nMove — the normalized value of the price impulse movement (|Δclose|), reflecting short-term price spikes.
Each metric is linearly normalized over a sliding window (200 bars) using the formula:
norm(x) = (x − min) / (max − min),
where at max = min, the value is fixed at 0.5 to ensure stability.
The ALT index is calculated as a weighted combination:
ALT = 0.35 nVol + 0.20 (1 − nATR) + 0.20 (1 − nRange) + 0.15 (1 − nBody) + 0.10 (1 − nMove)
The result is further smoothed using EMA(3) to reduce micronoise.
Red Zone (MLI < 0.25) — Risk, Thin Liquidity
When the indicator falls into the red zone, it means the market is extremely volatile:
Characteristics:
Low volume — small trades have a strong impact on the price.
High volatility — candlesticks rise or fall sharply.
Wide candlestick range — the market is "breathing heavily," easily breaking price extremes.
Impulsive movements — small market shocks lead to sharp spikes.
Thin liquidity — few orders in the order book, large orders "eat up" the market.
What this means for a trader:
🔥 High risk of spikes and false breakouts.
⚠ Possible series of liquidations on leverage.
❌ It is not recommended to enter long or short positions without a filter or protection.
✅ Can be used for short scalping strategies if you know the entry point, but very carefully.
Green Zone (MLI > 0.75) — High Liquidity, Safe Zone
When the indicator rises into the green zone, it means the market is stable and balanced:
Characteristics:
High volume — the market is deep, orders are executed without a strong impact on the price.
Low volatility — candlesticks are stable, no sharp spikes.
Narrow candlestick range — price moves calmly.
Weak impulse movements — no sharp surges.
Sufficient liquidity — the market can handle large orders.
What this means for a trader:
✅ Safe zone for opening positions.
🔄 Easier to set stop-loss and take-profit orders.
💡 You can trade both up and down, the risk of sharp movements is minimal.
⚡ Under these conditions, there is a lower risk of spikes and accidental liquidations.
It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
PP/EMA Crossover Buffer CounterPP/EMA Crossover Buffer Counter Tells pivot price crossing 9 EMA for a Trending Market
Trend Line Methods (TLM)Trend Line Methods (TLM)
Overview
Trend Line Methods (TLM) is a visual study designed to help traders explore trend structure using two complementary, auto-drawn trend channels. The script focuses on how price interacts with rising or falling boundaries over time. It does not generate trade signals or manage risk; its purpose is to support discretionary chart analysis.
Method 1 – Pivot Span Trendline
The Pivot Span Trendline method builds a dynamic channel from major swing points detected by pivot highs and pivot lows.
• The script tracks a configurable number of recent pivot highs and lows.
• From the oldest and most recent stored pivot highs, it draws an upper trend line.
• From the oldest and most recent stored pivot lows, it draws a lower trend line.
• An optional filled area can be drawn between the two lines to highlight the active trend span.
As new pivots form, the lines are recalculated so that the channel evolves with market structure. This method is useful for visualising how price respects a trend corridor defined directly by swing points.
Method 2 – 5-Point Straight Channel
The 5-Point Straight Channel method approximates a straight trend channel using five key points extracted from a fixed lookback window.
Within the selected window:
• The window is divided into five segments of similar length.
• In each segment, the highest high is used as a representative high point.
• In each segment, the lowest low is used as a representative low point.
• A straight regression-style line is fitted through the five high points to form the upper boundary.
• A second straight line is fitted through the five low points to form the lower boundary.
The result is a pair of straight lines that describe the overall directional channel of price over the chosen window. Compared to Method 1, this approach is less focused on the very latest swings and more on the broader slope of the market.
Inputs & Menus
Pivot Span Trendline group (Method 1)
• Enable Pivot Span Trendline – Turns Method 1 on or off.
• High trend line color / Low trend line color – Colors of the upper and lower trend lines.
• Fill color between trend lines – Base color used to shade the area between the two lines. Transparency is controlled internally.
• Trend line thickness – Line width for both high and low trend lines.
• Trend line style – Line style (solid, dashed, or dotted).
• Pivot Left / Pivot Right – Number of bars to the left and right used to confirm pivot highs and lows. Larger values produce fewer but more significant swing points.
• Pivot Count – How many historical pivot points are kept for constructing the trend lines.
• Lookback Length – Number of bars used to keep pivots in range and to extend the trend lines across the chart.
5-Point Straight Channel group (Method 2)
• Enable 5-Point Straight Channel – Turns Method 2 on or off.
• High channel line color / Low channel line color – Colors of the upper and lower channel lines.
• Channel line thickness – Line width for both channel lines.
• Channel line style – Line style (solid, dashed, or dotted).
• Channel Length (bars) – Lookback window used to divide price into five segments and build the straight high/low channel.
Using Both Methods Together
Both methods are designed to visualise the same underlying idea: price tends to move inside rising or falling channels. Method 1 emphasises the most recent swing structure via pivot points, while Method 2 summarises the broader channel over a fixed window.
When the Pivot Span Trendline corridor and the 5-Point Straight Channel boundaries align or intersect, they can highlight zones where multiple ways of drawing trend lines point to similar support or resistance areas. Traders can use these confluence zones as a visual reference when planning their own entries, exits, or risk levels, according to their personal trading plan.
Notes
• This script is meant as an educational and analytical tool for studying trend lines and channels.
• It does not generate trading signals and does not replace independent analysis or risk management.
• The behaviour of both methods is timeframe- and symbol-agnostic; they will adapt to whichever chart you apply them to.
GME Cash FloorsPlots three fundamental “floor value” lines for GameStop based on its balance sheet:
Cash/Share (Gross + BTC) – total cash & equivalents per share, optionally including the BTC treasury at current BTCUSD price.
Net Cash/Share – cash (plus optional BTC) minus total debt, per share.
2030 Carry Floor – projected net cash per share in 2030 assuming the cash portion compounds at a user-set rate while the 0% notes are repaid at maturity.
Inputs let you update cash, debt, share count, interest rate, years to 2030, and toggle BTC on/off so the lines stay in sync with the latest 10-Q.
Global M2 Money Supply Growth (GDP-Weighted)📊 Global M2 Money Supply Growth (GDP-Weighted)
This indicator tracks the weighted aggregate M2 money supply growth across the world's four largest economies: United States, China, Eurozone, and Japan. These economies represent approximately 69.3 trillion USD in combined GDP and account for the majority of global liquidity, making this a comprehensive macro indicator for analyzing worldwide monetary conditions.
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🔧 KEY FEATURES:
📈 GDP-Weighted Aggregation
Each economy is weighted proportionally by its nominal GDP using 2025 IMF World Economic Outlook data:
• United States: 44.2% (30.62 trillion USD)
• China: 28.0% (19.40 trillion USD)
• Eurozone: 21.6% (15.0 trillion USD)
• Japan: 6.2% (4.28 trillion USD)
The weights are fully adjustable through the indicator settings, allowing you to update them annually as new IMF forecasts are released (typically April and October).
⏱️ Multiple Time Period Options
Choose between three calculation methods to analyze different timeframes:
• YoY (Year-over-Year): 12-month growth rate for identifying long-term liquidity trends and cycles
• MoM (Month-over-Month): 1-month growth rate for detecting short-term monetary policy shifts
• QoQ (Quarter-over-Quarter): 3-month growth rate for medium-term trend analysis
🔄 Advanced Offset Function
Shift the entire indicator forward by 0-365 days to test lead/lag relationships between global liquidity and asset prices. Research suggests a 56-70 day lag between M2 changes and Bitcoin price movements, but you can experiment with different offsets for various assets (equities, gold, commodities, etc.).
🌍 Individual Country Breakdown
Real-time display of each economy's M2 growth rate with:
• Current percentage change (YoY/MoM/QoQ)
• GDP weight contribution
• Color-coded values (green = monetary expansion, red = contraction)
📊 Smart Overlay Capability
Displays directly on your main price chart with an independent left-side scale, allowing you to visually correlate global liquidity trends with any asset's price action without cluttering the chart.
🔧 Customizable GDP Weights
All GDP values can be adjusted through the indicator settings without editing code, making annual updates simple and accessible for all users.
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📡 DATA SOURCES:
All M2 money supply data is sourced from ECONOMICS (Trading Economics) for consistency and reliability:
• ECONOMICS:USM2 (United States)
• ECONOMICS:CNM2 (China)
• ECONOMICS:EUM2 (Eurozone)
• ECONOMICS:JPM2 (Japan)
All values are normalized to USD using current daily exchange rates (USDCNY, EURUSD, USDJPY) before GDP-weighted aggregation, ensuring accurate cross-country comparisons.
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💡 USE CASES & APPLICATIONS:
🔹 Liquidity Cycle Analysis
Track global monetary expansion/contraction cycles to identify when central banks are coordinating loose or tight monetary policies.
🔹 Market Timing & Risk Assessment
High M2 growth (>10%) historically correlates with risk-on environments and rising asset prices across crypto, equities, and commodities. Negative M2 growth signals monetary tightening and potential market corrections.
🔹 Bitcoin & Crypto Correlation
Compare with Bitcoin price using the offset feature to identify the optimal lag period. Many traders use 60-70 day offsets to predict crypto market movements based on liquidity changes.
🔹 Macro Portfolio Allocation
Use as a regime filter to adjust portfolio exposure: increase risk assets during liquidity expansion, reduce during contraction.
🔹 Central Bank Policy Divergence
Monitor individual country metrics to identify when major central banks are pursuing divergent policies (e.g., Fed tightening while China eases).
🔹 Inflation & Economic Forecasting
Rapid M2 growth often leads inflation by 12-18 months, making this a leading indicator for future inflation trends.
🔹 Recession Early Warning
Negative M2 growth is extremely rare and has preceded major recessions, making this a valuable risk management tool.
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📊 INTERPRETATION GUIDE:
🟢 +10% or Higher
Aggressive monetary expansion, typically during crises (2001, 2008, 2020). The COVID-19 period saw M2 growth reach 20-27%, which preceded significant inflation and asset price surges. Strong bullish signal for risk assets.
🟢 +6% to +10%
Above-average liquidity growth. Central banks are providing stimulus beyond normal levels. Generally favorable for equities, crypto, and commodities.
🟡 +3% to +6%
Normal/healthy growth rate, roughly in line with GDP growth plus 2% inflation targets. Neutral environment with moderate support for risk assets.
🟠 0% to +3%
Slowing liquidity, potential tightening phase beginning. Central banks may be raising rates or reducing balance sheets. Caution warranted for high-beta assets.
🔴 Negative Growth
Monetary contraction - extremely rare. Only occurred during aggressive Fed tightening in 2022-2023. Strong warning signal for risk assets, often precedes recessions or major market corrections.
════════════════════════════════════════════
🎯 OPTIMAL USAGE:
📅 Recommended Timeframes:
• Daily or Weekly charts for macro analysis
• Monthly charts for very long-term trends
💹 Compatible Asset Classes:
• Cryptocurrencies (especially Bitcoin, Ethereum)
• Equity indices (S&P 500, NASDAQ, global markets)
• Commodities (Gold, Silver, Oil)
• Forex majors (DXY correlation analysis)
⚙️ Suggested Settings:
• Default: YoY calculation with 0 offset for current liquidity conditions
• Bitcoin traders: YoY with 60-70 day offset for predictive analysis
• Short-term traders: MoM with 0 offset for recent policy changes
• Quarterly rebalancers: QoQ with 0 offset for medium-term trends
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📋 VISUAL DISPLAY:
The indicator plots a blue line showing the selected growth metric (YoY/MoM/QoQ), with a dashed reference line at 0% to clearly identify expansion vs. contraction regimes.
A comprehensive table in the top-right corner displays:
• Current global M2 growth rate (large, prominent display)
• Individual country breakdowns with their GDP weights
• Color-coded growth rates (green for positive, red for negative)
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🔄 MAINTENANCE & UPDATES:
GDP weights should be updated annually (ideally in April or October) when the IMF releases new World Economic Outlook forecasts. Simply adjust the four GDP input parameters in the indicator settings - no code editing required.
The relative GDP proportions between the Big 4 economies change very gradually (typically <1-2% per year), so even if you update weights once every 1-2 years, the impact on the indicator's accuracy is minimal.
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💭 TRADING PHILOSOPHY:
This indicator embodies the principle that "liquidity drives markets." By tracking the combined M2 money supply of the world's largest economies, weighted by their economic size, you gain insight into the fundamental liquidity conditions that underpin all asset prices.
Unlike single-country M2 indicators, this GDP-weighted approach captures the true global picture, accounting for the fact that US monetary policy has 2x the impact of Japanese policy due to economic size differences.
Perfect for macro-focused traders, long-term investors, and anyone seeking to understand the "tide that lifts all boats" in financial markets.
════════════════════════════════════════════
Created for traders and investors who incorporate global liquidity trends into their decision-making process. Best used alongside other technical and fundamental analysis tools for comprehensive market assessment.
⚠️ Disclaimer: M2 money supply is a lagging macroeconomic indicator. Past correlations do not guarantee future results. Always use proper risk management and combine with other analysis methods.
Fear & Greed Oscillator - Risk SentimentThe Fear & Greed Oscillator – Risk Sentiment is a macro-driven sentiment indicator inspired by the popular Fear & Greed Index , but rebuilt from the ground up using real, market-based economic data and statistical normalization.
While the traditional Fear & Greed Index uses components like volatility, volume, and social media trends to estimate sentiment, this version is powered by the Copper/Gold ratio — a historically respected gauge of macroeconomic confidence and risk appetite.
📈 Expansion vs. Contraction Theory
At the heart of this oscillator is a simple macroeconomic insight:
🟢 Copper performs well during periods of economic expansion and risk-on behavior (industrials, construction, manufacturing growth).
🔴 Gold performs well during periods of economic contraction , as a classic risk-off, capital-preserving asset.
By tracking the ratio of Copper to Gold prices over time and converting it into a Z-score , this tool shows when macro sentiment is statistically stretched toward greed or fear — based on how unusually strong one side of the ratio is relative to its historical average.
⚙️ How It Works
The script takes two user-defined tickers (default: Copper and Gold) and calculates their ratio.
It then applies Z-score normalization over a user-defined period (default: 200 bars).
A color gradient line is plotted:
🔴 Z < -2 = Extreme Fear
🟣 -2 to 0 = Mild Fear to Neutral
🔵 0 to 2 = Neutral to Greed
🟢 Z > 2 = Extreme Greed
Visual guides at ±1, ±2, ±3 standard deviations give immediate context.
Includes alert conditions when the Z-score crosses above +2 (Greed) or below -2 (Fear).
🔔 Alerts
“Z-Score has entered the Greed Zone ” when Z > 2
“Z-Score has entered the Fear Zone ” when Z < -2
These are designed to help catch macro sentiment extremes before or during large shifts in market behavior.
⚠️ Disclaimer
This indicator is a macro sentiment tool, not a direct trading signal. While the Copper/Gold ratio often reflects economic risk trends, correlation with risk assets (like Bitcoin or equities) is not guaranteed and may vary by cycle. Always use this indicator in conjunction with other tools and contextual analysis.
Argentina Price per m² (USD) — (1999–2025)Overview
This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) from Maure Real Estate Market Reports with monthly data (2012–2025) from UCEMA and private market sources.
All values were manually digitized, cleaned, and consolidated to reconstruct the most complete long-term pricing series publicly available.
The script also includes SMA20, SMA50, and SMA100 over the custom dataset to support long-term trend analysis, cycle detection, and macro technical structure.
Data Sources
1999–2011 (Annual): Maure Real Estate Market Reports
2012–2020 (Monthly): UCEMA Real Estate Index
2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor
How to Use This Indicator
This tool allows investors, developers, and analysts to:
Identify multiyear trend shifts
Compare cycles vs. Argentine macro environments
Map long-term support/resistance zones in real estate
Detect early signs of market recovery or contraction
Combine real estate fundamentals with technical analysis
The SMAs help visualize structural trends normally hidden in real estate data.
About This Work
This series was fully reconstructed and coded by engineer Francisco Michelich (@esFranMiche on X), combining market research, statistical consolidation, and technical analysis.
It is intended as an analytical tool, not an official financial index.
If you find this useful, feel free to follow and connect — feedback and collaboration are welcome.
Linkedin
X
Wolfe Wave PatternHello All!
For a while now, some of my followers have been asking me to develop Wolfe Wave Pattern . Here it's at your service as open-source and public indicator.
How it works?
- On each bar/tick it checks zigzag waves by using base period and updates the array that is used to keep zigzag levels and locations. Base period in the settings is the minimum zigzag period
- Then it searches if there is new bullish/bearish Wolfe Wave pattern according to last wave direction
- Before searching the pattern it calculates all possible 1234 waves. So any wave in 12345 uses base period or higher. it means that it search all possible candidates. This algorithm is much better than using a few zigzag periods.
- After getting all possible candidates, it checks if any of the found candidates is suitable for Wolfe Wave pattern and keeps them in a matrix
- if there are suitable candidate(s) it shows the latest one and triggers the alert
- it also follows the targets and if the price hits any of the target it extends the line and trigger the alert
- it doesn't check if any of the patterns hits stop-loss.
Options:
Base Period: minimum period to create the zigzag
Error Rate: there are usually so few perfect patterns, so we better consider deviation. if error rate is low than it finds less pattern with more accuracy, if error rate is high than it finds more pattern with less accuracy
- The other options are used for coloring the patterns and lines
Some examples:
P.S. I didn't have enough time to test the indicator, so please drop a comment if you see any issue while using it
Enjoy!
14:30 New York OpenRed dotted line at NY open. Shows new traders where NY opens. Helpful for backtesting and when trading that session where it starts very quickly
[PickMyTrade] Trendline Strategy# PickMyTrade Advanced Trend Following Strategy for Long Positions | Automated Trading Indicator
**Optimize Your Trading with PickMyTrade's Professional Trend Strategy - Auto-Execute Trades with Precision**
---
## Table of Contents
1. (#overview)
2. (#why-this-strategy-makes-money)
3. (#key-features)
4. (#how-it-works)
5. (#strategy-settings--configuration)
6. (#pickmytrade-integration)
7. (#advanced-features)
8. (#risk-management)
9. (#best-practices)
10. (#performance-optimization)
11. (#getting-started)
12. (#faq)
---
## Overview
The **PickMyTrade Advanced Trend Following Strategy** is a sophisticated, open-source Pine Script indicator designed for traders seeking consistent profits through trend-based long positions. This powerful algorithm identifies high-probability entry points by detecting valid trendlines with multiple touch confirmations, ensuring you only enter trades when the trend is strongly established.
### What Makes This Strategy Unique?
- **Multi-Trendline Detection**: Simultaneously tracks multiple downtrend breakouts for increased trading opportunities
- **Intelligent Entry Validation**: Requires multiple price touches (configurable) to confirm trendline validity
- **Flexible Take Profit Methods**: Choose from Risk/Reward Ratio, Lookback Candles, or Fibonacci-based exits
- **Automated Risk Management**: Built-in position sizing based on dollar risk per trade
- **PickMyTrade Ready**: Seamlessly integrate with PickMyTrade for fully automated trade execution
**Perfect for**: Swing traders, trend followers, futures traders, and anyone using PickMyTrade for automated trading execution.
---
## Why This Strategy Makes Money
### 1. **Breakout Trading Edge**
The strategy profits by identifying when price breaks above established downtrend resistance lines. These breakouts often signal:
- Shift in market sentiment from bearish to bullish
- Strong buying momentum entering the market
- High probability of continued upward movement
### 2. **Trend Confirmation Filter**
Unlike simple breakout strategies, this requires **multiple touches** (default: 3) on the trendline before considering it valid. This eliminates:
- False breakouts from weak trendlines
- Choppy, sideways markets with no clear trend
- Low-quality setups that lead to losses
### 3. **Dynamic Risk-Reward Optimization**
The strategy automatically calculates:
- **Optimal position sizing** based on your risk tolerance ($100 default)
- **Stop loss placement** using recent pivot lows (not arbitrary levels)
- **Take profit targets** using either R:R ratios (1.5:1 default) or Fibonacci extensions
**Expected Profitability**: With proper settings, traders typically achieve:
- Win rate: 45-60% (depending on market conditions)
- Risk/Reward: 1.5:1 to 2.5:1 (configurable)
- Monthly returns: 5-15% (varies by market and risk settings)
### 4. **Fibonacci Profit Scaling**
The advanced Fibonacci mode allows you to:
- Take partial profits at multiple levels (0.618, 1.0, 1.312, 1.618)
- Lock in gains while letting winners run
- Maximize profits during strong trending moves
---
## Key Features
### Trend Detection & Validation
✅ **Dynamic Trendline Drawing**: Automatically identifies and extends downtrend resistance lines
✅ **Touch Validation**: Configurable number of touches (1-10) to confirm trendline strength
✅ **Valid Percentage Buffer**: Allows minor price deviations (default 0.1%) for more realistic trendlines
✅ **Pivot-Based Validation**: Optional extra filter using smaller pivot points for precision
### Position Management
✅ **Multi-Position Support**: Trade up to 1000 positions simultaneously (pyramiding)
✅ **Single or Multi-Trend Mode**: Track one primary trend or multiple concurrent trends
✅ **Dollar-Based Position Sizing**: Risk fixed dollar amount per trade (not percentage of account)
✅ **Automatic Quantity Calculation**: Determines optimal contract size based on risk and stop distance
### Take Profit Methods (3 Options)
#### 1. **Risk/Reward Ratio** (Recommended for Beginners)
- Set desired R:R (default 1.5:1)
- Simple, consistent profit targets
- Works well in trending markets
#### 2. **Lookback Candles** (For Swing Traders)
- Exits when price makes new low over X candles (default 10)
- Adapts to market volatility
- Best for capturing extended moves
#### 3. **Fibonacci Extensions** (For Advanced Traders)
- Up to 4 profit targets: 61.8%, 100%, 131.2%, 161.8%
- Automatically scales out of positions
- Maximizes gains during strong trends
### Stop Loss Options
✅ **Pivot-Based Stop Loss**: Uses recent pivot lows for logical stop placement
✅ **Buffer/Offset**: Add extra distance (in ticks) below pivot for safety
✅ **Trailing Stop**: Optional feature to lock in profits as trade moves in your favor
✅ **Enable/Disable Toggle**: Full control over stop loss activation
### Session Control
✅ **Time-Based Trading**: Limit trades to specific hours (e.g., 9:00 AM - 6:00 PM)
✅ **Auto-Close at Session End**: Automatically closes all positions outside trading hours
✅ **Works on All Timeframes**: Intraday and higher timeframes supported
---
## How It Works
### Step-by-Step Trade Logic
#### 1. **Trendline Identification**
The strategy scans for pivot highs that are **lower** than the previous pivot high, indicating a downtrend. It then:
- Draws a trendline connecting these pivot points
- Extends the line forward to current price
- Validates the line by checking how many candles touched it
#### 2. **Entry Trigger**
A long position is entered when:
- Price closes **above** the validated trendline (breakout)
- Session time filter is met (if enabled)
- Maximum position limit not exceeded
- Sufficient risk capital available for position sizing
#### 3. **Stop Loss Calculation**
The strategy looks backward to find the most recent pivot low that is:
- Below current price
- A logical support level
- Applies optional buffer/offset for safety
- Uses this level to calculate position size
#### 4. **Take Profit Execution**
Depending on your selected method:
- **R:R Mode**: Calculates TP as entry + (entry - SL) × ratio
- **Lookback Mode**: Exits when price makes new low over specified candles
- **Fibonacci Mode**: Sets 4 profit targets based on Fibonacci extensions from swing high to stop loss
#### 5. **Trade Management**
Once in position:
- Monitors stop loss for risk protection
- Tracks take profit levels for exit signals
- Optional trailing stop to lock in profits
- Closes all trades at session end (if enabled)
---
## Strategy Settings & Configuration
### Trendline Settings
| Parameter | Default | Range | Description | Impact on Trading |
|-----------|---------|-------|-------------|-------------------|
| **Pivot Length For Trend** | 15 | 5-50 | Bars to left/right for pivot detection | Lower = More signals (noisier), Higher = Fewer signals (stronger trends) |
| **Touch Number** | 3 | 2-10 | Required touches to validate trendline | Lower = More trades (less reliable), Higher = Fewer trades (more reliable) |
| **Valid Percentage** | 0.1% | 0-5% | Allowed deviation from trendline | Higher = More lenient validation, more trades |
| **Enable Pivot To Valid** | False | True/False | Extra validation using smaller pivots | True = Stricter filtering, fewer but higher quality trades |
| **Pivot Length For Valid** | 5 | 3-15 | Pivot length for extra validation | Smaller = More precise validation |
**Recommendation**: Start with defaults. In choppy markets, increase touch number to 4-5. In strongly trending markets, reduce to 2.
### Position Management
| Parameter | Default | Range | Description | Impact on Trading |
|-----------|---------|-------|-------------|-------------------|
| **Enable Multi Trend** | True | True/False | Track multiple trendlines simultaneously | True = More opportunities, False = One trade at a time |
| **Position Number** | 1 | 1-1000 | Maximum concurrent positions | Higher = More capital deployed, more risk |
| **Risk Amount** | $100 | $10-$10,000 | Dollar risk per trade | Higher = Larger positions, more P&L per trade |
| **Enable Default Contract Size** | False | True/False | Use 1 contract if calculated size ≤1 | True = Always enter (even micro accounts) |
**Money Management Tip**: Risk 1-2% of your account per trade. If you have $10,000, set Risk Amount to $100-$200.
### Take Profit Settings
| Parameter | Default | Options | Description | Best For |
|-----------|---------|---------|-------------|----------|
| **Set TP Method** | RiskAwardRatio | RiskAwardRatio / LookBackCandles / Fibonacci | Choose exit strategy | Beginners: R:R, Swing: Lookback, Advanced: Fib |
| **Risk Award Ratio** | 1.5 | 1.0-5.0 | Target profit as multiple of risk | Higher = Bigger wins but lower win rate |
| **Look Back Candles** | 10 | 5-50 | Exit when price makes new low over X bars | Smaller = Quicker exits, Larger = Let winners run |
| **Source for TP** | Close | Close / High-Low | Use close or high/low for exit signals | Close = More conservative |
**Profitability Guide**:
- **Conservative**: R:R = 1.5, Lookback = 10
- **Balanced**: R:R = 2.0, Lookback = 15
- **Aggressive**: R:R = 2.5, Fibonacci mode with 1.618 target
### Stop Loss Settings
| Parameter | Default | Range | Description | Impact on Trading |
|-----------|---------|-------|-------------|-------------------|
| **Turn On/Off SL** | True | True/False | Enable stop loss | **Always use True** for risk protection |
| **Pivot Length for SL** | 3 | 2-10 | Pivot length for stop placement | Smaller = Tighter stops, Larger = Wider stops |
| **Buffer For SL** | 0.0 | 0-50 | Extra distance below pivot (ticks) | Higher = Safer but lower R:R |
| **Turn On/Off Trailing Stop** | False | True/False | Lock in profits as trade moves up | True = Protects profits, may exit early |
**Risk Management Rule**: Never disable stop loss. Use buffer in volatile markets (5-10 ticks).
### Fibonacci Settings (When TP Method = Fibonacci)
| Parameter | Default | Description | Profit Target |
|-----------|---------|-------------|---------------|
| **Fibonacci Level 1** | 0.618 | First profit target | 61.8% of swing range |
| **Fibonacci Level 2** | 1.0 | Second profit target | 100% of swing range |
| **Fibonacci Level 3** | 1.312 | Third profit target | 131.2% extension |
| **Fibonacci Level 4** | 1.618 | Fourth profit target | 161.8% extension |
| **Pivot Length for Fibonacci** | 15 | Pivot to find swing high | Higher = Bigger swings, wider targets |
**Scaling Strategy**: Close 25% at each Fibonacci level to lock in profits progressively.
### Session Settings
| Parameter | Default | Description | Use Case |
|-----------|---------|-------------|----------|
| **Enable Session** | False | Activate time filter | Day trading specific hours |
| **Session Time** | 0900-1800 | Trading hours window | Avoid overnight risk |
**Day Trader Setup**: Enable session = True, Set hours to 9:30-16:00 (US market hours)
---
## PickMyTrade Integration
### Automate Your Trading with PickMyTrade
This strategy is **fully compatible with PickMyTrade**, the leading automation platform for TradingView strategies. Connect your broker account and let PickMyTrade execute trades automatically based on this strategy's signals.
### Why Use PickMyTrade?
✅ **Hands-Free Trading**: Never miss a signal, even while sleeping
✅ **Multi-Broker Support**: Works with Tradovate, NinjaTrader, TradeStation, and more
✅ **Instant Execution**: Alerts trigger trades in milliseconds
✅ **Risk Management**: Built-in position sizing and stop loss handling
✅ **Mobile Monitoring**: Track trades from your phone
**Boom!** Your strategy is now fully automated. Every breakout signal will automatically execute a trade through your broker.
### PickMyTrade-Specific Features
- **Dynamic Position Sizing**: The strategy calculates quantity based on your risk amount
- **Automatic Stop Loss**: Pivot-based stops are sent to your broker automatically
- **Take Profit Orders**: R:R and Fibonacci targets create limit orders
- **Session Management**: Trades only during specified hours
- **Multi-Position Support**: Handle multiple concurrent trades seamlessly
**Pro Tip**: Start with paper trading or a demo account to test the automation before going live.
---
## Advanced Features
### 1. Multi-Trendline Mode (Enable Multi Trend = True)
**What It Does**: Tracks up to 1000 trendlines simultaneously, entering positions as each one breaks out.
**Benefits**:
- More trading opportunities
- Diversifies entry points across multiple trends
- Catches every valid breakout in trending markets
**When to Use**:
- Strong trending markets (crypto bull runs, index rallies)
- Longer timeframes (4H, Daily)
- When you want maximum market exposure
**Caution**: Can enter many positions quickly. Set appropriate Position Number limit and Risk Amount.
### 2. Single Trendline Mode (Enable Multi Trend = False)
**What It Does**: Focuses on one primary trendline at a time.
**Benefits**:
- Cleaner, simpler execution
- Easier to monitor and manage
- Better for beginners
- Lower capital requirements
**When to Use**:
- Choppy or ranging markets
- Smaller accounts
- When you prefer focused, quality over quantity trades
### 3. Fibonacci Profit Scaling
**How It Works**:
1. At entry, the strategy finds the most recent swing high above current price
2. Calculates the range from swing high to stop loss
3. Projects 4 Fibonacci extensions: 61.8%, 100%, 131.2%, 161.8%
4. Exits when price reaches each level, then pulls back below it
**Profit Maximization Strategy**:
- Close 25% of position at each Fibonacci level
- Let remaining portion target higher levels
- Capture both quick profits and extended moves
**Example Trade**:
- Entry: $100
- Stop Loss: $95 (risk = $5)
- Swing High: $110
- Range: $110 - $95 = $15
Fibonacci Targets:
- 61.8% = $95 + ($15 × 0.618) = $104.27 (+4.27%)
- 100% = $95 + ($15 × 1.0) = $110 (+10%)
- 131.2% = $95 + ($15 × 1.312) = $114.68 (+14.68%)
- 161.8% = $95 + ($15 × 1.618) = $119.27 (+19.27%)
**Result**: Even if only first two targets hit, you lock in +7% average gain vs. -5% risk = 1.4:1 R:R
### 4. Trailing Stop Loss
**What It Does**: After entry, if a new pivot low forms **above** your initial stop, the strategy moves your stop up to that level.
**Benefits**:
- Locks in profits as trade moves in your favor
- Reduces risk to breakeven or better
- Captures strong momentum moves
**Drawback**: May exit profitable trades earlier during normal pullbacks.
**Best Practice**: Use in strongly trending markets. Disable in choppy conditions.
### 5. Pivot Validation Filter
**What It Does**: Adds extra requirement that a small pivot high must exist between the two trendline pivot points.
**Benefits**:
- Ensures trendline is a "true" resistance
- Filters out random lines connecting arbitrary highs
- Increases trade quality
**When to Enable**:
- High-volatility markets with many false breakouts
- Lower timeframes (5min, 15min) where noise is common
- When win rate is too low with default settings
**Tradeoff**: Fewer signals, but higher win rate.
### 6. Session-Based Trading
**What It Does**: Only enters trades during specified hours. Auto-closes all positions outside session.
**Use Cases**:
- **Day Trading**: 9:30 AM - 4:00 PM (avoid overnight gaps)
- **European Hours**: 8:00 AM - 5:00 PM CET (trade London session)
- **Crypto**: 24/7 trading or focus on US hours for liquidity
**Risk Management**: Prevents holding positions through high-impact news events or market closes.
---
## Risk Management
### Position Sizing Formula
The strategy uses **fixed dollar risk** position sizing:
```
Position Size = Risk Amount ÷ (Entry Price - Stop Loss) ÷ Point Value
```
**Example** (ES Futures):
- Risk Amount: $100
- Entry: 4500
- Stop Loss: 4490
- Risk per contract: 10 points × $50/point = $500
- Position Size: $100 ÷ $500 = 0.2 contracts → Rounds to 0 (no trade)
If `Enable Default Contract Size = True`, it would trade 1 contract instead.
### Risk Per Trade Recommendations
| Account Size | Conservative (1%) | Moderate (2%) | Aggressive (3%) |
|--------------|-------------------|---------------|-----------------|
| $5,000 | $50 | $100 | $150 |
| $10,000 | $100 | $200 | $300 |
| $25,000 | $250 | $500 | $750 |
| $50,000 | $500 | $1,000 | $1,500 |
**Golden Rule**: Never risk more than 2% per trade. Even with 10 losses in a row, you'd only be down 20%.
### Maximum Drawdown Protection
**Multi-Position Risk**:
- If Position Number = 5 and Risk Amount = $100
- Maximum simultaneous risk = 5 × $100 = $500
- Ensure this is ≤ 5% of your total account
**Daily Loss Limit**:
- Set a mental stop: "If I lose $X today, I stop trading"
- Typical limit: 3-5% of account per day
- Prevents revenge trading and emotional decisions
### Stop Loss Best Practices
1. **Always Use Stops**: Never disable stop loss (enabledSL should always be True)
2. **Buffer in Volatile Markets**: Add 5-10 tick buffer to avoid stop hunts
3. **Respect Your Stops**: Don't manually override or move stops further away
4. **Wide Stops = Smaller Size**: If stop is far from entry, strategy automatically reduces position size
---
## Best Practices
### Optimal Timeframes
| Timeframe | Trading Style | Position Number | Risk/Reward | Win Rate Expectation |
|-----------|---------------|-----------------|-------------|----------------------|
| 5-15 min | Scalping | 1-2 | 1.5:1 | 50-55% |
| 30 min - 1H | Intraday | 2-3 | 2:1 | 55-60% |
| 4H | Swing Trading | 3-5 | 2.5:1 | 60-65% |
| Daily | Position Trading | 1-2 | 3:1 | 65-70% |
**Recommendation**: Start with 1H or 4H charts for best balance of signals and reliability.
### Ideal Market Conditions
**Best Performance**:
- Strong trending markets (bull runs, clear directional bias)
- After consolidation breakouts
- Post-earnings or news catalysts driving sustained moves
- Liquid markets with tight spreads
**Avoid or Reduce Risk**:
- Choppy, sideways-ranging markets
- Low-volume periods (holidays, overnight sessions)
- High-impact news events (FOMC, NFP, earnings)
- Extreme volatility (VIX > 30)
### Backtesting Recommendations
Before going live:
1. **Run 6-12 Months of Historical Data**: Ensure strategy performed well across different market regimes
2. **Check Key Metrics**:
- Win Rate: Should be 45-65% depending on R:R
- Profit Factor: Aim for > 1.5
- Max Drawdown: Should be < 20% of starting capital
- Average Win/Loss Ratio: Should match your R:R setting
3. **Stress Test**: Test during known volatile periods (March 2020, Jan 2022, etc.)
4. **Forward Test**: Run on demo account for 1 month before real money
### Parameter Optimization
**Don't Over-Optimize!** Avoid curve-fitting to past data. Instead:
1. **Start with Defaults**: Use recommended settings first
2. **Change One Parameter at a Time**: Isolate what improves performance
3. **Test on Out-of-Sample Data**: If settings work on 2023 data, test on 2024 data
4. **Focus on Robustness**: Settings that work across multiple markets/timeframes are best
**Red Flags**:
- Strategy works perfectly on historical data but fails live (over-fitting)
- Tiny changes in parameters dramatically change results (unstable)
- Requires exact values (e.g., pivot length must be exactly 17) (curve-fitted)
---
## Performance Optimization
### How to Increase Profitability
#### 1. Optimize Risk/Reward Ratio
- **Current**: 1.5:1 (default)
- **Test**: 2:1, 2.5:1, 3:1
- **Impact**: Higher R:R = bigger wins but lower win rate
- **Sweet Spot**: Usually 2:1 to 2.5:1 for trend strategies
#### 2. Filter by Market Regime
Add a trend filter to only trade in bull markets:
- Use 200-period SMA: Only take longs when price > SMA(200)
- Use ADX: Only trade when ADX > 25 (strong trend)
- **Impact**: Fewer trades, but much higher win rate
#### 3. Tighten Entry Requirements
- Increase Touch Number from 3 to 4-5
- Enable Pivot To Valid = True
- **Impact**: Fewer but higher quality signals
#### 4. Use Fibonacci Scaling
- Switch from R:R to Fibonacci method
- Take partial profits at each level
- **Impact**: Better average wins, smoother equity curve
#### 5. Add Volume Confirmation
Enhance entry signal by requiring:
- Volume > Average Volume (indicates strong breakout)
- Can add this as custom filter in Pine Script
### How to Reduce Risk
#### 1. Lower Position Number
- Default: 1 position at a time
- Multi-trend: Limit to 2-3 max
- **Impact**: Less simultaneous exposure, lower drawdowns
#### 2. Reduce Risk Amount
- Start with $50 per trade (0.5% of $10k account)
- Gradually increase as you gain confidence
- **Impact**: Smaller positions, slower growth but safer
#### 3. Use Tighter Stops with Buffer
- Set Pivot Length for SL = 2 (closer stop)
- Add Buffer = 5-10 ticks (avoid premature stop-outs)
- **Impact**: Smaller losses, but may get stopped out more often
#### 4. Enable Session Filter
- Only trade during liquid hours
- Avoid overnight holds
- **Impact**: No gap risk, more predictable fills
---
## Getting Started
### Quick Start Guide (5 Minutes)
1. **Copy the Strategy Code**
- Open the `.txt` file provided
- Copy all code to clipboard
2. **Add to TradingView**
- Go to TradingView Pine Editor
- Paste code
- Click "Save" → Name it "PickMyTrade Trend Strategy"
- Click "Add to Chart"
3. **Configure Basic Settings**
- Open strategy settings (gear icon)
- Set Risk Amount = 1% of your account ($100 for $10k)
- Set Position Number = 1 (for beginners)
- Keep all other defaults
4. **Backtest on Your Market**
- Choose your instrument (ES, NQ, AAPL, BTC, etc.)
- Select timeframe (start with 1H or 4H)
- Review performance metrics in Strategy Tester tab
5. **Optimize (Optional)**
- Adjust Touch Number (2-5) to balance signals vs. quality
- Try different TP methods (R:R vs. Fibonacci)
- Test on multiple timeframes
6. **Go Live**
- If backtest looks good, start with small position size
- Monitor first 5-10 trades closely
- Scale up once confident in execution
### Integration with PickMyTrade (10 Minutes)
1. **Sign Up for PickMyTrade**
- Visit (pickmytrade.trade)
- Create free account
- Connect your broker (Tradovate, NinjaTrader, etc.)
2. **Create TradingView Alert**
- Set condition to strategy name
- Add PickMyTrade webhook URL
- Enable alert
3. **Test with Demo Account**
- Let it run for a few days
- Verify trades execute correctly
- Check fills, stops, and targets
4. **Switch to Live Account**
- Update account ID to live account
- Start with minimum position size
- Monitor closely for first week
---
### Technical Questions
**Q: What does "Touch Number = 3" mean?**
A: The trendline must have at least 3 candles touching or nearly touching it to be considered valid.
**Q: Why am I getting no trades?**
A: Trendline requirements may be too strict. Try:
- Reduce Touch Number to 2
- Increase Valid Percentage to 0.5%
- Disable Pivot To Valid
- Check if price is in a trend (strategy won't trade sideways markets)
**Q: Why is my position size 0?**
A: Risk Amount is too small for the stop distance. Either:
- Increase Risk Amount
- Enable Default Contract Size = True (will use 1 contract minimum)
- Use tighter stops (lower Pivot Length for SL)
**Q: Can I trade both long and short?**
A: Current code is long-only. You'd need to duplicate the logic for short trades (detect uptrend breakdowns).
**Q: How do I change from TradingView strategy to indicator?**
A: Change line 5 from `strategy(...)` to `indicator(...)`. Replace `strategy.entry()` and `strategy.exit()` with `alert()` calls.
### Risk Management Questions
**Q: What's the maximum drawdown I should expect?**
A: Typically 10-20% depending on settings. If experiencing > 25%, reduce position size or tighten filters.
**Q: Should I risk more to make more money?**
A: No. Risking 2% vs. 5% per trade doesn't triple your profits—it triples your risk of blowing up. Stick to 1-2% per trade.
**Q: What if I hit 5 losses in a row?**
A: Normal. Even with 60% win rate, losing streaks happen. Don't increase position size to "win it back." Stick to your risk plan.
**Q: Do I need to watch the screen all day?**
A: No, especially with PickMyTrade automation. Check positions 1-2 times per day. Overtrading kills profits.
---
## Disclaimer
**Important Risk Disclosure**:
Trading futures, stocks, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. The PickMyTrade Advanced Trend Following Strategy is provided for **educational purposes only** and should not be considered financial advice.
**Key Risks**:
- You can lose more than your initial investment
- Backtested results may not reflect live trading performance
- Market conditions change; no strategy works forever
- Automation errors can occur (connectivity, bugs, etc.)
**Before Trading**:
- Consult a licensed financial advisor
- Fully understand the strategy logic
- Test on demo account for at least 1 month
- Only risk capital you can afford to lose
- Start with minimum position sizes
**PickMyTrade**:
This strategy is compatible with PickMyTrade but is not officially endorsed by PickMyTrade. The author is not affiliated with PickMyTrade. For PickMyTrade support, visit their official website.
**License**: This strategy is open-source under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). You may modify and share, but not for commercial use.
---
**Ready to automate your trading with PickMyTrade? Add this strategy to your TradingView chart today and start capturing profitable trend breakouts on autopilot!**
ICS🏛️ Institutional Confluence Suite (ICS) Indicator
The Institutional Confluence Suite is a powerful and highly customizable TradingView indicator built to help traders identify key institutional trading concepts across multiple timeframes. It visualizes essential market components like Market Structures (MS), Order Blocks (OB)/Breaker Blocks (BB), Liquidity Zones, and Volume Profile, providing a confluence of institutional price action data.
📈 Key Features & Components
1. Market Structures (MS)
Purpose: Automatically identifies and labels shifts in market trends (Market Structure Shift, MSS) and continuations (Break of Structure, BOS).
Timeframe Detection: You can select detection across Short Term, Intermediate Term, or Long Term swings to match your trading horizon.
Visualization: Plots colored lines (Bullish: Teal, Bearish: Red) to mark the structures and optional text labels (BOS/MSS) for clear identification.
2. Order & Breaker Blocks (OB/BB)
Purpose: Detects and projects potential Supply and Demand zones based on recent price action that led to a swing high or low.
Block Types: Distinguishes between standard Order Blocks and Breaker Blocks (OBs that fail to hold and are traded through, often serving as support/resistance in the opposite direction).
Customization:
Detection Term: Adjusts sensitivity (Short, Intermediate, Long Term).
Display Limit: Sets the maximum number of recent Bullish and Bearish blocks to display.
Price Reference: Option to use the Candle Body (Open/Close) or Candle Wicks (High/Low) to define the block boundaries.
Visualization: Displays blocks as colored boxes (Bullish: Green, Bearish: Red) extending into the future, with a dotted line marking the 50% equilibrium level. Breaker Blocks are indicated by a change in color/line style upon being broken.
3. Buyside & Sellside Liquidity (BSL/SSL)
Purpose: Highlights areas where retail stops/limit orders are likely clustered, often represented by a series of relatively equal highs (Buyside Liquidity) or lows (Sellside Liquidity).
Detection Term: Adjustable sensitivity (Short, Intermediate, Long Term).
Margin: Uses a margin (derived from ATR) to group similar swing points into a single liquidity zone.
Visualization: Plots a line and text label marking the swing point, and a box indicating the clustered liquidity zone.
4. Liquidity Voids (LV) / Fair Value Gaps (FVG)
Purpose: Identifies areas where price moved sharply and inefficiency was created, often referred to as Fair Value Gaps or Imbalances. These are price ranges where minimal trading volume occurred.
Threshold: Uses a multiplier applied to the 200-period ATR to filter for significant gaps.
Mode: Can be set to Present (only show voids near the current price) or Historical (show all detected voids).
Visualization: Fills the price gap with colored boxes (Bullish/Bearish zones), often segmented to represent the price delivery across the gap.
5. Enhanced Liquidity Detection
Purpose: A complementary feature that uses volume and price action to highlight areas of high liquidity turnover, potentially indicating stronger Support and Resistance zones.
Calculation: Utilizes a volume-weighted approach to color-grade liquidity zones based on their significance.
Visualization: Plots shaded boxes (gradient-colored) around swing highs/lows, with text displaying the normalized volume strength.
6. Swing Highs/Lows
Purpose: Directly marks the price points identified as Swing Highs and Swing Lows based on the lookback periods.
Timeframe Detection: Can be enabled for Short Term, Intermediate Term, or Long Term swings.
Visualization: Plots a small colored dot/label (e.g., "⦁") at the swing point.
This indicator is an invaluable tool for traders employing ICT (Inner Circle Trader), Smart Money Concepts (SMC), or general price action strategies, as it automatically aggregates and displays these critical structural and liquidity elements.
MTF Supertrend by Rakesh Sharma📊 MULTI-TIMEFRAME SUPERTREND INDICATOR
Get clear buy and sell signals from the powerful Supertrend indicator across three critical timeframes - all on one chart!
🎯 WHAT IT DOES:
This indicator analyzes the Supertrend across Monthly, Weekly, and Daily timeframes simultaneously, giving you a complete picture of market trends from short-term to long-term perspectives.
✨ KEY FEATURES:
- 📍 Visual Signal Labels: Clear buy/sell labels appear directly on your chart when Supertrend changes direction
- Daily signals (D-BUY/D-SELL) - Small green/red labels
- Weekly signals (W-BUY/W-SELL) - Medium blue/orange labels
- Monthly signals (M-BUY/M-SELL) - Large lime/maroon labels
- 📋 Live Summary Table: Real-time dashboard showing:
- Current trend direction for each timeframe (Bullish ▲ or Bearish ▼)
- Supertrend price levels
- Color-coded for quick reading
- 🎨 Visual Trend Confirmation:
- Supertrend line plotted on current timeframe
- Background color indicating current trend
- ⚙️ Fully Customizable:
- Adjustable ATR Period (default: 10)
- Adjustable Factor (default: 3.0)
- Toggle any timeframe on/off
- Show/hide summary table
🚀 HOW TO USE:
1. **Best Trades**: Look for alignment across multiple timeframes
- All 3 timeframes bullish = Strong buy opportunity
- All 3 timeframes bearish = Strong sell opportunity
2. **Signal Strength**:
- Monthly signals = Strongest, least frequent (major trend changes)
- Weekly signals = Medium strength, moderate frequency
- Daily signals = Most frequent, good for entries/exits
3. **Risk Management**:
- Use Supertrend levels as stop-loss points
- Higher timeframe trends act as confirmation for lower timeframe trades
4. **Settings Optimization**:
- Lower ATR period (7-8) = More sensitive, more signals
- Higher ATR period (12-14) = Less sensitive, fewer false signals
- Lower Factor (2.0-2.5) = Tighter stops, more signals
- Higher Factor (3.5-4.0) = Wider stops, fewer signals
💡 TRADING STRATEGY EXAMPLES:
**Conservative Approach:**
- Only take trades when all 3 timeframes align
- Use monthly trend as overall direction filter
- Enter on daily signals in direction of weekly/monthly trend
**Aggressive Approach:**
- Trade daily signals independently
- Use weekly/monthly as confirmation
- Quick entries and exits
**Swing Trading:**
- Focus on weekly signals
- Use monthly for trend direction
- Use daily for precise entry timing
⚠️ IMPORTANT NOTES:
- This is a trend-following indicator - works best in trending markets
- May generate whipsaws in choppy/sideways markets
- Always use proper risk management and position sizing
- Combine with volume analysis and support/resistance for best results
- Past performance does not guarantee future results
📈 BEST MARKETS:
Works on all markets: Stocks, Forex, Crypto, Commodities, Indices
⏰ BEST TIMEFRAMES:
Can be applied to any chart timeframe, but works best on:
- 1H to 4H charts for intraday trading
- Daily charts for swing trading
- Weekly charts for position trading
🔧 DEFAULT SETTINGS:
- ATR Period: 10
- Factor: 3.0
- All timeframes enabled
- Summary table visible
Feel free to adjust settings based on your trading style and the asset's volatility!
📚 ABOUT SUPERTREND:
Supertrend is a trend-following indicator that uses ATR (Average True Range) to plot dynamic support and resistance levels. It helps identify the current trend direction and potential reversal points.
---
💬 Questions or suggestions? Leave a comment below!
⭐ If you find this indicator helpful, please give it a boost!
Happy Trading! 🎯
TASC 2025.12 The One Euro Filter█ OVERVIEW
This script implements the One Euro filter, developed by Georges Casiez, Nicolas Roussel, and Daniel Vogel, and adapted by John F. Ehlers in his article "Low-Latency Smoothing" from the December 2025 edition of the TASC Traders' Tips . The original creators gave the filter its name to suggest that it is cheap and efficient, like something one might purchase for a single Euro.
█ CONCEPTS
The One Euro filter is an EMA-based low-pass filter that adapts its smoothing factor (alpha) based on the absolute values of smoothed rates of change in the source series. It was designed to filter noisy, high-frequency signals in real time with low latency. Ehlers simplifies the filter for market analysis by calculating alpha in terms of bar periods rather than time and frequency, because periods are naturally intuitive for a discrete financial time series.
In his article, Ehlers demonstrates how traders can apply the adaptive One Euro filter to a price series for simple low-latency smoothing. Additionally, he explains that traders can use the filter as a smoothed oscillator by applying it to a high-pass filter. In essence, similar to other low-pass filters, traders can apply the One Euro filter to any custom source to derive a smoother signal with reduced noise and low lag.
This script applies the One Euro filter to a specified source series, and it applies the filter to a two-pole high-pass filter or other oscillator, depending on the selected "Osc type" option. By default, it displays the filtered source series on the main chart pane, and it shows the oscillator and its filtered series in a separate pane.
█ INPUTS
Source: The source series for the first filter and the selected oscillator.
Min period: The minimum cutoff period for the smoothing calculation.
Beta: Controls the responsiveness of the filter. The filter adds the product of this value and the smoothed source change to the minimum period to determine the filter's smoothing factor. Larger values cause more significant changes in the maximum cutoff period, resulting in a smoother response.
Osc type: The type of oscillator to calculate for the pane display. By default, the indicator calculates a high-pass filter. If the selected type is "None", the indicator displays the "Source" series and its filtered result in a separate pane rather than showing the filter on the main chart. With this setting, users can pass plotted values from another indicator and view the filtered result in the pane.
Period: The length for the selected oscillator's calculation.
Previous Day & Week Highs and Lows 1.3Overlay indicator that plots horizontal lines for the previous day’s and previous week’s highs and lows. Lines extend until the next period starts, so you can see these levels throughout the current day or week.
The indicator detects new daily and weekly sessions and draws lines at the previous period’s high and low. Daily levels use green (high) and red (low); weekly levels use blue (high) and magenta (low). You can toggle daily/weekly independently, customize colors, and adjust line width. It works on intraday timeframes and helps identify support/resistance and track breakouts relative to prior periods.
Previous Day & Week Highs and LowsOverlay indicator that plots horizontal lines for the previous day’s and previous week’s highs and lows. Lines extend until the next period starts, so you can see these levels throughout the current day or week.
The indicator detects new daily and weekly sessions and draws lines at the previous period’s high and low. Daily levels use green (high) and red (low); weekly levels use blue (high) and magenta (low). You can toggle daily/weekly independently, customize colors, and adjust line width. It works on intraday timeframes and helps identify support/resistance and track breakouts relative to prior periods.
Sav Fx Dynamic P & D°//@version=5
indicator("Sav Fx Dynamic P & D°", overlay = true, max_boxes_count = 50, max_labels_count = 2, max_lines_count = 10)
// Global Settings (visible)
customLineColor = input.color(#000000, "True Open", group = "Global Settings")
// Input for custom sessionTypeText size and width
sessionTypeTextSize = input.string("small", "Session Type Text Size", options= , group="Text Settings")
// On/Off switches for each open line
show90MinuteCycleOpen = input.bool(true, "90 Minute Cycle Open", group="Open Lines")
showTrueNewYorkOpen = input.bool(true, "True New York Open", group="Open Lines")
showTrueDayOpen = input.bool(true, "True Day Open", group="Open Lines")
showTrueWeekOpen = input.bool(true, "True Week Open", group="Open Lines")
showTrueMonthOpen = input.bool(false, "True Month Open", group="Open Lines")
IsTime(h, m, timezone) =>
not na(time) and hour(time, timezone) == h and minute(time, timezone) == m
IsSession(sess, timezone) =>
not na(time(timeframe.period, sess, timezone))
is6_00Session = IsSession("0600-0730", "America/New_York")
is7_30Session = IsSession("0730-0900", "America/New_York")
is9_00Session = IsSession("0900-1030", "America/New_York")
is10_30Session = IsSession("1030-1200", "America/New_York")
var MOPLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed)
var MOPLabel = label.new(na, na, text = "True Day Open", color = color.rgb(120, 123, 134, 100), textcolor = customLineColor, size = size.small, style = label.style_label_left)
var float trueDayOpen = na
if showTrueDayOpen
if IsTime(0, 0, "America/New_York")
line.set_xy1(MOPLine, bar_index, open)
line.set_xy2(MOPLine, bar_index, open)
label.set_xy(MOPLabel, bar_index, open)
trueDayOpen := open
if barstate.islast
line.set_x2(MOPLine, bar_index + 20)
label.set_x(MOPLabel, bar_index + 20)
else
line.delete(MOPLine)
label.delete(MOPLabel)
var NYTrueOpenLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed)
var NYTrueOpenLabel = label.new(na, na, text = "True New York Open", color = color.rgb(105, 130, 218, 100), textcolor = customLineColor, size = size.small, style = label.style_label_left)
var float NYTrueOpen = na
if showTrueNewYorkOpen
if IsTime(1, 30, "America/New_York") or IsTime(7, 30, "America/New_York") or IsTime(13, 30, "America/New_York")
line.set_xy1(NYTrueOpenLine, bar_index, open)
line.set_xy2(NYTrueOpenLine, bar_index, open)
label.set_xy(NYTrueOpenLabel, bar_index, open)
NYTrueOpen := open
if IsTime(1, 30, "America/New_York")
label.set_text(NYTrueOpenLabel, "True London Open")
if IsTime(7, 30, "America/New_York")
label.set_text(NYTrueOpenLabel, "True New York Open")
if IsTime(13, 30, "America/New_York")
label.set_text(NYTrueOpenLabel, "True PM Session Open")
if barstate.islast
line.set_x2(NYTrueOpenLine, bar_index + 20)
label.set_x(NYTrueOpenLabel, bar_index + 20)
else
line.delete(NYTrueOpenLine)
label.delete(NYTrueOpenLabel)
var lookahead_bars = 20
var MondayLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed)
var MondayLabel = label.new(na, na, text = timeframe.isintraday and timeframe.multiplier >= 5 ? "True week Open" : "", color = #9b27b000, textcolor = customLineColor, size = size.small, style = label.style_label_left)
if showTrueWeekOpen
if dayofweek == dayofweek.monday and IsTime(18, 0, "America/New_York")
line.set_xy1(MondayLine, bar_index, close)
line.set_xy2(MondayLine, bar_index, close)
label.set_xy(MondayLabel, bar_index, close)
if barstate.islast
line.set_x2(MondayLine, bar_index + lookahead_bars)
label.set_x(MondayLabel, bar_index + lookahead_bars)
else
line.delete(MondayLine)
label.delete(MondayLabel)
var ninetyMinuteCycleLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed)
var ninetyMinuteCycleLabel = label.new(na, na, text = "90 Minute Cycle True Open", color = #4caf4f00, textcolor = customLineColor, size = size.small, style = label.style_label_left)
if show90MinuteCycleOpen
if IsTime(3, 23, "America/New_York") or IsTime(9, 23, "America/New_York") or IsTime(15, 23, "America/New_York")
line.set_xy1(ninetyMinuteCycleLine, bar_index, open)
line.set_xy2(ninetyMinuteCycleLine, bar_index, open)
label.set_xy(ninetyMinuteCycleLabel, bar_index, open)
if IsTime(3, 23, "America/New_York")
label.set_text(ninetyMinuteCycleLabel, "03:23 Cycle True Open")
if IsTime(9, 23, "America/New_York")
label.set_text(ninetyMinuteCycleLabel, "09:23 Cycle True Open")
if IsTime(15, 23, "America/New_York")
label.set_text(ninetyMinuteCycleLabel, "15:23 Cycle True Open")
if barstate.islast
line.set_x2(ninetyMinuteCycleLine, bar_index + lookahead_bars)
label.set_x(ninetyMinuteCycleLabel, bar_index + lookahead_bars)
else
line.delete(ninetyMinuteCycleLine)
label.delete(ninetyMinuteCycleLabel)
var monthOpenLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed)
var monthOpenLabel = label.new(na, na, text = "True Month Open", color = #ff990000, textcolor = customLineColor, size = size.small, style = label.style_label_left)
isSecondWeekSunday = dayofweek == dayofweek.sunday and (dayofmonth >= 8 and dayofmonth <= 14)
if showTrueMonthOpen
if isSecondWeekSunday and IsTime(18,0, "America/New_York")
line.set_xy1(monthOpenLine, bar_index, close)
line.set_xy2(monthOpenLine, bar_index + lookahead_bars, close)
label.set_xy(monthOpenLabel, bar_index, close)
if barstate.islast
line.set_x2(monthOpenLine, bar_index + lookahead_bars)
label.set_x(monthOpenLabel, bar_index + lookahead_bars)
else
line.delete(monthOpenLine)
label.delete(monthOpenLabel)
directionalBias = "N/A"
if is6_00Session or is7_30Session or is9_00Session or is10_30Session
directionalBias := open > NYTrueOpen ? "Bullish" : "Bearish"
var directionalBiasLabel = label.new(na, na, text = "Directional Bias: " + directionalBias, color = na, textcolor = customLineColor, size = size.normal, style = label.style_label_left)
if barstate.islast
label.set_x(directionalBiasLabel, bar_index + lookahead_bars)
label.set_text(directionalBiasLabel, "Directional Bias: " + directionalBias)
var float WeekOpen = na
if dayofweek == dayofweek.monday and IsTime(18, 0, "America/New_York")
WeekOpen := close
if showTrueWeekOpen
line.set_xy1(MondayLine, bar_index, close)
line.set_xy2(MondayLine, bar_index, close)
label.set_xy(MondayLabel, bar_index, close)
// New table for static session type display
var sessionTable = table.new(position.bottom_right, 1, 1, bgcolor = #b9b9bab8)
// Update the table.cell function call
if barstate.islast and not na(trueDayOpen) and not na(NYTrueOpen) and not na(WeekOpen)
var string sessionTypeText = syminfo.ticker + " Dead Zone"
var color sessionColor = color.rgb(126, 126, 126, 65)
// Check conditions and set session type text and color accordingly
if close < trueDayOpen and close < NYTrueOpen and close < WeekOpen
sessionTypeText := syminfo.ticker + " Week Discount"
sessionColor := #ba4b4b59
else if close > trueDayOpen and close > NYTrueOpen and close > WeekOpen
sessionTypeText := syminfo.ticker + " Week Premium"
sessionColor := #4b56ba5a
else if close < trueDayOpen and close < NYTrueOpen and close > WeekOpen
sessionTypeText := syminfo.ticker + " Day Discount & Week Dead Zone"
sessionColor := #ba4b4b59
else if close > trueDayOpen and close > NYTrueOpen and close < WeekOpen
sessionTypeText := syminfo.ticker + " Day premium & Week Dead Zone"
sessionColor := #4b56ba5a
// Using only size input for session type text
table.cell(sessionTable, 0, 0, sessionTypeText, bgcolor = sessionColor, text_color = color.black, text_size = sessionTypeTextSize)
INFOMATION BOARD5-Line Indicator Description (English)This indicator displays a dynamic information board directly on the chart.It features a bright red background with bold white text for maximum visibility.The message can blink at adjustable speeds to attract user attention.Users may customize text size and vertical screen placement.Designed for alerts, warnings, or educational disclaimers without cluttering the chart
TNT TRADER Sessions and Zones Premarket sessions and zone indicator full customization for premarket, yesterdays high and low , london, asia after hours etc.
