Strategy Myth-Busting #20 - HalfTrend+HullButterfly - [MYN]#20 on the Myth-Busting bench, we are automating the " I Found Super Easy 1 Minute Scalping System And Backtest It 100 Times " strategy from " Jessy Trading " who claims 30.58% net profit over 100 trades in a couple of weeks with a 51% win rate and profit factor of 1.56 on EURUSD .
This one surprised us quite a bit. Despite the title of this strategy indicating this is on the 1 min timeframe, the author demonstrates the backtesting manually on the 5 minute timeframe. Given the simplicity of this strategy only incorporating a couple of indicators, it's robustness being able to be profitable in both low and high timeframes and on multiple symbols was quite refreshing.
The 3 settings which we need to pay most attention to here is the Hull Butterfly length, HalfTrend amplitude and the Max Number Of Bars Between Hull and HalfTrend Trigger. Depending on the timeframe and symbol, these settings greatly impact the performance outcomes of the strategy. I've listed a couple of these below.
And as always, If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
This strategy uses a combination of 3 open-source public indicators:
Hull Butterfly Oscillator by LuxAlgo
HalfTrend by Everget
Trading Rules
5 min candles but higher / lower candles work too.
Stop loss at swing high/low
Take Profit 1.5x the risk
Long
Hull Butterfly gives us green column, Wait for HalfTrend to present an up arrow and enter trade.
Short
Hull Butterfly gives us a red column , Wait for HalfTrend to present a down arrow and enter trade.
Alternative Trading Settings for different time frames
1 Minute Timeframe
Move the Hull Butterfly length from the default 11 to 9
Move the HalfTrend Amplitude from the default 2 to 1
Enabling ADX Filter with a 25 threshold
2 Hour Timeframe
Move the HalfTrend Amplitude from the default 2 to 1
Laddered Take Profits from 14.5% to 19% with an 8% SL
在腳本中搜尋"黄金近20年走势"
20 Camarilla Pivot PointsThis indicator plots 20 Camarilla pivot points above and below the pivot based on the selected time frame. This is useful when price goes between the standard 3 and 4 pivots and above 4. Note that the normal 4 pivot point is labeled as 6 in this indicator. You can change the color of each set of pivots so you can mark the standard Camarilla pivots if you wish. The image is using monthly Camarilla pivots on a 1 hour time frame.
Multi-Timeframe 20 EMA Horizontal LinesOverview
This Multi-Timeframe 20 EMA indicator provides intelligent trend analysis by displaying your current timeframe EMA alongside relevant higher timeframe EMA levels as horizontal support/resistance lines. On lower timeframes, you see all higher EMA levels for comprehensive multi-timeframe confluence, while on higher timeframes, it filters out lower timeframe noise to maintain focus on macro trends. This allows traders to align short-term entries with long-term market structure, identifying high-probability setups where multiple timeframe EMAs converge while using the current timeframe EMA for precise timing.
Feature
Multi-Timeframe Horizontal EMA Lines
The indicator fetches and displays 20 EMAs from five higher timeframes:
Daily (D): Daily 20 EMA
Weekly (W): Weekly 20 EMA
Monthly (M): Monthly 20 EMA
Quarterly (Q): 3-Month 20 EMA
Half-Yearly (HY): 6-Month 20 EMA
Intelligent Timeframe Filtering
Smart Display Logic: Only shows EMAs from timeframes higher than your current chart timeframe
Prevents Redundancy: Automatically filters out lower timeframe EMAs to avoid clutter
Example: On a 4-hour chart, you'll see Daily, Weekly, Monthly, Quarterly, and Half-Yearly EMAs, but on a Weekly chart, you'll only see Weekly and higher timeframes
Half-Yearly (HY): 6-Month 20 EMA
Shows only current timeframe EMA with half-yearly horizontal line, filtering out all lower timeframes.
Quarterly (Q): 3-Month 20 EMA
Displays current timeframe EMA with quarterly and higher horizontal lines, hiding monthly, weekly, and daily EMAs.
Monthly (M): Monthly 20 EMA
Shows current timeframe EMA with monthly and higher horizontal EMAs, excluding weekly and daily timeframes.
Weekly (W): Weekly 20 EMA
Displays current timeframe EMA with weekly and higher horizontal EMA lines, filtering out daily timeframe.
Daily (D):
Shows current timeframe EMA with all higher timeframe horizontal EMAs (daily, weekly, monthly, quarterly, half-yearly).
Note: Make sure to enable Price-Line in Style Settings after Importing Script.
Rule Of 20 - Fair Value Estimation by Inflation & Earnings (TG)The Rule Of 20 is a heuristic calculation to find the fair value of an asset or market given its earnings and current inflation.
Its calculation is straightforward: the fair multiple of the price or price-to-earnings ratio of a stock should be 20 minus the rate of inflation.
In math terms: fair_price-to-earnings_ratio = (20 - inflation) ; fair_value = current_price * fair_price-to-earnings_ratio / real_price-to-earnings_ratio
For example, if a stock or index was trading on 11 times earnings and inflation was 2%, then the theory would be that the fair price-to-earnings ratio would be 20-2 = 18, which is much higher than the real price-to-earnings ratio of 11, and hence the asset would be undervalued.
Conversely, a market or company that was trading on 18 times price-to-earnings ration when inflation was 8% was seen as overvalued, because of the fair price-to-earnings ratio being 20-8=12, hence much lower than the real price-to-earnings ratio of 18.
We can then project the delta between the fair PE and real PE onto the asset's value to obtain the projected fair value, which may be a target of future value the asset may reach or hover around.
For example, as of 1st November 2022, SPX stood at 3871.97, with a PE ratio of 20.14 and an inflation in the US of 7.70. Using the Rule Of 20, we find that the fair PE ratio is 20-7.7=12.3, which is much lower than the current PE ratio of 20.14 by 39%! This may indicate a future possibility of a further downside risk by 39% from current valuation levels.
The origins of this rule are unknown, although the legendary US fund manager Peter Lynch is said to have been an active proponent when he was directing the Fidelity’s Magellan fund from 1977 to 1990.
For more infos about the Rule Of 20, reading this article is recommended: www.sharesmagazine.co.uk
This indicator implements the Rule Of 20 on any asset where the Financials are availble to TradingView, and also for the entire SP:SPX index as a way to assess the wider US stock market. Technically, the calculation is a bit different for the latter, as we cannot access earnings of SPX through Financials on TradingView, so we access it using the QUANDL:MULTPL/SP500_PE_RATIO_MONTH ticker instead.
By default are displayed:
current asset value in red
fair asset value according to the Rule Of 20 in white for SPX, or different shades of purple/maroon for other assets. Note that for SPX there is only one calculation, whereas for other assets there are multiple different ways to calculate earnings, so different fair values can be computed.
fair price-to-earnings ratio (PE ratio) in light grey.
real price-to-earnings ratio in darker grey.
This indicator can be used on SP:SPX ticker, and on most NASDAQ:* tickers, since they have Financials integrated in TradingView. Stocks tickers from other exchanges may not provide Financials data, so this indicator won't work then. If this happens, try to find the same ticker on NASDAQ instead.
Note that by default, only the US stock market is considered. If you want to consider stocks or assets in other regions of the world, please change the inflation ticker to a ticker that reflect the target region's inflation.
Also adding a table to ease interpretation was considered, but then the Timeframe MTF parameter would not work, and since the big advantage of this indicator is to allow for historical comparisons, the table was dropped.
Enjoy, and keep in mind that all models are wrong, but some are useful.
Trade safely!
TG
Hippo Battlefield - Bulls VS Bears 20 bars## Hippo Battlefield – Bulls VS Bears (20 Bars)
**What it is**
A multi-dimensional momentum-and-sentiment oscillator that combines classic Bull/Bear Power with ATR- or peak-normalization, then layers on RSI and MACD-derived metrics into:
1. **A colored bar series** showing net Bull+Bear Power strength over the last 20 bars,
2. **A dynamic table** of each of those 20 BBP values (grouped into four 5-bar “quartals”), with symbols, per-bar change, and rolling averages, and
3. **A composite “Weighted BBP” histogram** blending normalized RSI, MACD, and BBP into a single view.
---
### Key Inputs
- **Length (EMA)** – look-back for the underlying EMA (default 60)
- **Normalization Length** – look-back window for peak-normalization (default 60)
- **Use ATR for Norm.** – toggle ATR-based normalization vs. highest-abs(BBP)
- **Show Tables** – toggle the bottom-right 21×11 grid of raw and average BBP values
---
### What You See
#### 1. Colored Bars (Overlay = false)
- Bars are colored by normalized BBP intensity:
- Extreme Bull (≥+10): deep blue
- Strong Bull (+5 to +10): green/yellow
- Weak Bull (+0 to +5): dark green
- Weak Bear (–0 to –5): dark red
- Strong Bear (–5 to –10): pink/red
- Extreme Bear (<–10): magenta
#### 2. Bottom-Right Table (20 Bars of Data)
- Divided into four columns (0–4, 5–9, 10–14, 15–19 bars ago) and one “average” row.
- Each cell shows:
1. Bar index (1–20),
2. Normalized BBP value (to four decimals),
3. Direction symbol (↑/↓/=),
4. Bar-to-bar change (± value),
5. A separator “|”.
- At the very bottom, each column’s 5-bar average is displayed as “Avg: X.XXXX” with a dot marker.
#### 3. Top-Center Mini-Table
- When ≥20 bars have elapsed, shows the date at 20 bars ago and the average BBP across the full 20-bar window.
#### 4. Normalized RSI Line
- Rescales the classic 14-period RSI into a –20…+20 band to align with BBP.
#### 5. MACD Lines (Hidden) & Composite Histogram
- MACD and signal lines are calculated but not plotted by default.
- A “Weighted BBP” histogram combines:
- 20% normalized RSI,
- 20% average of (MACD + signal + normalized BBP),
- 60% normalized BBP
- Plotted as columns, color-coded by strength using the same palette as the main bars.
#### 6. Middle Reference Line
- A horizontal zero line to anchor over/under-zero readings.
---
### How to Use It
- **Trend confirmation**: Strong blue/green bars alongside a rising histogram suggest bull conviction; strong reds/magentas signal bear dominance.
- **Divergence spotting**: Watch for price making new highs/lows while BBP or the histogram fails to follow.
- **Quartal analysis**: The 5-bar group averages can reveal whether recent momentum is accelerating or waning.
- **Cross-indicator weighting**: Because RSI, MACD, and raw BBP all feed into the final histogram, you get a smoothed, blended view of momentum shifts.
---
**Tip:** Tweak the EMA and normalization length to suit your preferred timeframe (e.g. shorter for intraday scalps, longer for swing trades). Enable/disable the table if you prefer a cleaner pane.
Dual Bollinger Bands (20 & 200)Dual Bollinger Bands (20 & 200) - Enhanced Trading Strategy
Overview
The Dual Bollinger Bands (20 & 200) indicator is an enhanced version of the Double Bollinger Bands by Alixnet. This advanced tool integrates two sets of Bollinger Bands with 20-period (short-term) and 200-period (long-term) moving averages, helping traders identify market trends, volatility, and potential trade setups more effectively.
Key Features
✅ Two Bollinger Band Sets – Short-term (20-period) and Long-term (200-period).
✅ Enable/Disable Each BB – Customize visibility for better analysis.
✅ Multiple Standard Deviations – Identify different levels of volatility.
✅ Background Fill for Clarity – Highlights volatility zones.
How to Use This Indicator Effectively
1. Understanding the Two Bollinger Bands
BB1 (20-Period): Measures short-term price movements and volatility.
BB2 (200-Period): Acts as a long-term trend filter to determine the dominant trend.
2. Trade Entries & Exits
Bullish Trade Setup (Long Entry)
🔹 Price Above 200 MA Basis Line (BB2) – Confirms an uptrend.
🔹 Price Pulls Back to the Lower Band of BB1 (20 MA) – Ideal buy opportunity.
🔹 Confirmation: If price bounces off the lower BB1 band and moves back toward the midline or upper band, enter a long position.
🔹 Exit: When price touches or exceeds the upper BB1 band.
Bearish Trade Setup (Short Entry)
🔹 Price Below 200 MA Basis Line (BB2) – Confirms a downtrend.
🔹 Price Pulls Back to the Upper Band of BB1 (20 MA) – Ideal short opportunity.
🔹 Confirmation: If price gets rejected at the upper BB1 band and moves downward, enter a short position.
🔹 Exit: When price reaches or drops below the lower BB1 band.
3. Avoiding Sideways Markets
❌ Avoid trading when price stays between the two bands of BB1 without breaking out.
❌ Flat 200 MA Line (BB2 Basis) indicates a ranging market – best to wait for a breakout.
✅ Wait for Price to Cross the 200 MA Basis Line to confirm trend direction before entering trades.
4. Catching Trending Moves
✅ Strong Trend Confirmation: When price stays above or below the 20-period BB bands and also above/below the 200-period MA.
✅ Trend Continuation: If price consolidates near the upper or lower bands without breaking opposite levels.
✅ Breakout Confirmation: Look for a candle close outside BB1 bands with momentum to confirm strong moves.
Final Thoughts
The Dual Bollinger Bands (20 & 200) indicator is a powerful tool for both short-term traders and long-term investors. By combining the short-term volatility of the 20-period BB with the long-term trend of the 200-period BB, traders can make more informed trading decisions, filter out noise, and capture high-probability trade setups.
Simple Crossover MME 5/20
Description:
This indicator plots a 5-period Exponential Moving Average (EMA) in red and a 20-period EMA in blue.
It provides clear visual signals for crossovers:
A green triangle appears when the 5 EMA crosses above the 20 EMA (bullish signal).
A red triangle appears when the 5 EMA crosses below the 20 EMA (bearish signal).
Built-in alerts are available for both bullish and bearish crossover events.
Option 2 (More Detailed)
Title: 5 EMA / 20 EMA Crossover Strategy with Visual Signals & Alerts
Description:
This script is designed to track one of the most popular moving average strategies: the crossover between the 5-period and 20-period Exponential Moving Averages (EMA). It's a clean and straightforward tool for identifying potential shifts in short-term trend momentum.
Features:
5-Period EMA: Plotted in Red.
20-Period EMA: Plotted in Blue.
Bullish Crossover Signals: A green triangle is plotted below the price bar when the 5 EMA (Red) crosses above the 20 EMA (Blue), suggesting potential upward momentum.
Bearish Crossover Signals: A red triangle is plotted above the price bar when the 5 EMA (Red) crosses below the 20 EMA (Blue), suggesting potential downward momentum.
Customizable Alerts: The indicator includes built-in alert conditions. You can easily set up real-time notifications for every "buy" (crossover) or "sell" (crossunder) signal.
How to Use:
Add the indicator to your chart.
To receive notifications, create an alert and select this indicator as the condition. Choose either the "Bullish Crossover" or "Bearish Crossover" option.
9-20 EMA Crossover with TP and SL9-20 EMA Crossover: This script tracks the crossover of the 9-period EMA and the 20-period EMA.
When the 9 EMA crosses above the 20 EMA, a buy signal is triggered.
When the 9 EMA crosses below the 20 EMA, a sell signal is triggered.
Take Profit and Stop Loss Levels:
The take profit for a long position is set at 3% above the entry price (close * 1.03).
The stop loss for a long position is set at 1% below the entry price (close * 0.99).
The take profit for a short position is set at 3% below the entry price (close * 0.97).
The stop loss for a short position is set at 1% above the entry price (close * 1.01).
Leverage: The strategy uses 20x leverage for both long and short positions (leverage=20).
Alerts: Alerts are set up for the buy signal when the 9 EMA crosses above the 20 EMA and the sell signal when the 9 EMA crosses below the 20 EMA. These alerts can be used with a webhook to trigger trades on Binance Futures.
Strategy:
For long trades: The strategy enters a long position and sets a take profit at 3% above the entry price and a stop loss at 1% below the entry price.
For short trades: The strategy enters a short position and sets a take profit at 3% below the entry price and a stop loss at 1% above the entry price.
Correlation Heatmap Matrix [TradingFinder] 20 Assets Variable🔵 Introduction
Correlation is one of the most important statistical and analytical metrics in financial markets, data mining, and data science. It measures the strength and direction of the relationship between two variables.
The correlation coefficient always ranges between +1 and -1 : a perfect positive correlation (+1) means that two assets or currency pairs move together in the same direction and at a constant ratio, a correlation of zero (0) indicates no clear linear relationship, and a perfect negative correlation (-1) means they move in exactly opposite directions.
While the Pearson Correlation Coefficient is the most common method for calculation, other statistical methods like Spearman and Kendall are also used depending on the context.
In financial market analysis, correlation is a key tool for Forex, the Stock Market, and the Cryptocurrency Market because it allows traders to assess the price relationship between currency pairs, stocks, or coins. For example, in Forex, EUR/USD and GBP/USD often have a high positive correlation; in stocks, companies from the same sector such as Apple and Microsoft tend to move similarly; and in crypto, most altcoins show a strong positive correlation with Bitcoin.
Using a Correlation Heatmap in these markets visually displays the strength and direction of these relationships, helping traders make more accurate decisions for risk management and strategy optimization.
🟣 Correlation in Financial Markets
In finance, correlation refers to measuring how closely two assets move together over time. These assets can be stocks, currency pairs, commodities, indices, or cryptocurrencies. The main goal of correlation analysis in trading is to understand these movement patterns and use them for risk management, trend forecasting, and developing trading strategies.
🟣 Correlation Heatmap
A correlation heatmap is a visual tool that presents the correlation between multiple assets in a color-coded table. Each cell shows the correlation coefficient between two assets, with colors indicating its strength and direction. Warm colors (such as red or orange) represent strong negative correlation, cool colors (such as blue or cyan) represent strong positive correlation, and mid-range tones (such as yellow or green) indicate correlations that are close to neutral.
🟣 Practical Applications in Markets
Forex : Identify currency pairs that move together or in opposite directions, avoid overexposure to similar trades, and spot unusual divergences.
Crypto : Examine the dependency of altcoins on Bitcoin and find independent movers for portfolio diversification.
Stocks : Detect relationships between stocks in the same industry or find outliers that move differently from their sector.
🟣 Key Uses of Correlation in Trading
Risk management and diversification: Select assets with low or negative correlation to reduce portfolio volatility.
Avoiding overexposure: Prevent opening multiple positions on highly correlated assets.
Pairs trading: Exploit temporary deviations between historically correlated assets for arbitrage opportunities.
Intermarket analysis: Study the relationships between different markets like stocks, currencies, commodities, and bonds.
Divergence detection: Spot when two typically correlated assets move apart as a possible trend change signal.
Market forecasting: Use correlated asset movements to anticipate others’ behavior.
Event reaction analysis: Evaluate how groups of assets respond to economic or political events.
❗ Important Note
It’s important to note that correlation does not imply causation — it only reflects co-movement between assets. Correlation is also dynamic and can change over time, which is why analyzing it across multiple timeframes provides a more accurate picture. Combining correlation heatmaps with other analytical tools can significantly improve the precision of trading decisions.
🔵 How to Use
The Correlation Heatmap Matrix indicator is designed to analyze and manage the relationships between multiple assets at once. After adding the tool to your chart, start by selecting the assets you want to compare (up to 20).
Then, choose the Correlation Period that fits your trading strategy. Shorter periods (e.g., 20 bars) are more sensitive to recent price movements, making them suitable for short-term trading, while longer periods (e.g., 100 or 200 bars) provide a broader view of correlation trends over time.
The indicator outputs a color-coded matrix where each cell represents the correlation between two assets. Warm colors like red and orange signal strong negative correlation, while cool colors like blue and cyan indicate strong positive correlation. Mid-range tones such as yellow or green suggest correlations that are close to neutral. This visual representation makes it easy to spot market patterns at a glance.
One of the most valuable uses of this tool is in portfolio risk management. Portfolios with highly correlated assets are more vulnerable to market swings. By using the heatmap, traders can find assets with low or negative correlation to reduce overall risk.
Another key benefit is preventing overexposure. For example, if EUR/USD and GBP/USD have a high positive correlation, opening trades on both is almost like doubling the position size on one asset, increasing risk unnecessarily. The heatmap makes such relationships clear, helping you avoid them.
The indicator is also useful for pairs trading, where a trader identifies assets that are usually correlated but have temporarily diverged — a potential arbitrage or mean-reversion opportunity.
Additionally, the tool supports intermarket analysis, allowing traders to see how movements in one market (e.g., crude oil) may impact others (e.g., the Canadian dollar). Divergence detection is another advantage: if two typically aligned assets suddenly move in opposite directions, it could signal a major trend shift or a news-driven move.
Overall, the Correlation Heatmap Matrix is not just an analytical indicator but also a fast, visual alert system for monitoring multiple markets at once. This is particularly valuable for traders in fast-moving environments like Forex and crypto.
🔵 Settings
🟣 Logic
Correlation Period : Number of bars used to calculate correlation between assets.
🟣 Display
Table on Chart : Enable/disable displaying the heatmap directly on the chart.
Table Size : Choose the table size (from very small to very large).
Table Position : Set the table location on the chart (top, middle, or bottom in various alignments).
🟣 Symbol Custom
Select Market : Choose the market type (Forex, Stocks, Crypto, or Custom).
Symbol 1 to Symbol 20: In custom mode, you can define up to 20 assets for correlation calculation.
🔵 Conclusion
The Correlation Heatmap Matrix is a powerful tool for analyzing correlations across multiple assets in Forex, crypto, and stock markets. By displaying a color-coded table, it visually conveys both the strength and direction of correlations — warm colors for strong negative correlation, cool colors for strong positive correlation, and mid-range tones such as yellow or green for near-zero or neutral correlation.
This helps traders select assets with low or negative correlation for diversification, avoid overexposure to similar trades, identify arbitrage and pairs trading opportunities, and detect unusual divergences between typically aligned assets. With support for custom mode and up to 20 symbols, it offers high flexibility for different trading strategies, making it a valuable complement to technical analysis and risk management.
IB & Hammer at SMA(20,50|200)IB & Hammer at SMA (20, 50, 200) Breakout/Breakdown Indicator
Overview:
The IB (Inside Bar) & Hammer at SMA Breakout/Breakdown Indicator is designed to identify breakout and breakdown opportunities using Inside Bars (IB) in combination with Simple Moving Averages (SMA 20, 50, 200) as key trend filters. This indicator is useful for traders looking to catch momentum moves after consolidation phases, confirming the trend direction with moving averages.
Indicator Logic:
Inside Bar (IB) Detection:
An Inside Bar is a candlestick that is completely within the range of the previous candle (i.e., lower high and higher low).
Inside Bars indicate consolidation, suggesting a potential breakout.
SMA Trend Confirmation:
The script uses three moving averages (SMA 20, 50, 200) to determine the trend direction.
Bullish trend: Price is above the 50 & 200 SMAs.
Bearish trend: Price is below the 50 & 200 SMAs.
The 20 SMA is used as a dynamic short-term momentum filter.
Breakout & Breakdown Conditions:
Breakout: When price breaks above the Inside Bar’s high, and the trend is bullish (above key SMAs).
Breakdown: When price breaks below the Inside Bar’s low, and the trend is bearish (below key SMAs).
Alerts can be set to notify traders of potential trade opportunities.
Features:
✅ Identifies Inside Bars (consolidation zones).
✅ Uses SMA (20, 50, 200) for trend confirmation.
✅ Breakout/Breakdown signals based on Inside Bar structure.
✅ Customizable Moving Averages & Alerts.
✅ Visual markers for easy trade identification.
How to Use:
Confirm Trend Direction:
If the price is above SMA 50 & 200, look for breakout trades.
If the price is below SMA 50 & 200, look for breakdown trades.
Watch for Inside Bars:
The script highlights Inside Bars with a specific color (configurable).
These bars indicate a low-volatility phase, preparing for a breakout.
Trade on Breakout/Breakdown:
Breakout: Enter long when the price breaks above the Inside Bar’s high (bullish trend).
Breakdown: Enter short when the price breaks below the Inside Bar’s low (bearish trend).
EMA Cross 20/50/100/200EMA Cross 20 50 100 200
Easy identify cross between 20 and 50
Easy identify cross between 20 and 100
Cross between 20 and 50 is good signal for buy and sell.
Cross between 20 and 100 is confirmation signal for buy and sell.
RSI 20/80 Arrows + AlertsRSI 20/80 Arrows + Alerts
This indicator is a modified Relative Strength Index (RSI) tool designed to help traders spot potential overbought and oversold conditions using customizable threshold levels (default 80 for overbought, 20 for oversold).
Features:
Custom RSI Levels – Default to 80/20 instead of the standard 70/30, but fully adjustable by the user.
Visual Signals –
Blue Arrow Up appears below the bar when RSI crosses up from below the oversold level (potential buy zone).
Red Arrow Down appears above the bar when RSI crosses down from above the overbought level (potential sell zone).
Alerts Built In – Receive notifications when either signal occurs, with the option to confirm signals only on bar close for reduced noise.
Guide Levels – Optionally display overbought/oversold reference lines on the chart for quick visual reference.
Overlay Mode – Signals are plotted directly on the price chart, so you don’t need to switch between chart windows.
Use Case:
Ideal for traders who want quick, visual confirmation of potential turning points based on RSI, especially in strategies where more extreme levels (like 20/80) help filter out weaker signals. Works well across all markets and timeframes.
AmirAli 20 Pairs/USDT&BTCThis TradingView indicator, titled "20 Pairs/USDT&BTC," is designed to analyze and display the Exponential Moving Averages (EMAs) of various cryptocurrency pairs against USDT and BTC. Here's a detailed breakdown of its features, functionality, and usage:
Key Features:
Pairs Display: The indicator allows users to select which cryptocurrency pairs they wish to display on the chart. The available options include popular cryptocurrencies such as Ethereum (ETH), Binance Coin (BNB), Solana (SOL), Dogecoin (DOGE), Ripple (XRP), Litecoin (LTC), Polkadot (DOT), Avalanche (AVAX), Uniswap (UNI), Chainlink (LINK), Cardano (ADA), Cosmos (ATOM), Filecoin (FIL), Stellar (XLM), VeChain (VET), Enjin (ENJ), Celo (CELO), Hedera (HBAR), and Sandbox (SAND).
Dynamic Price Retrieval: For each selected pair, the indicator retrieves the closing prices for both USDT and BTC from Binance. This is done using the request.security function, which fetches real-time data.
EMA Calculation: The indicator calculates and plots the EMA for each cryptocurrency pair over a user-defined length, allowing traders to identify trends and potential buy/sell signals based on price movements relative to their EMAs.
User Customization: Users can customize several parameters, including the time frame for data retrieval, EMA length, and the visibility of each pair.
Market Hours Visualization: The indicator highlights the trading hours with a gray background, helping users identify when the market is active.
How to Use the Indicator:
Adding the Indicator: To use the indicator, add it to your TradingView chart by searching for "20 Pairs/USDT&BTC" in the public library or by pasting the provided Pine Script code into a new indicator script.
Select Pairs: Enable or disable specific cryptocurrency pairs in the input options at the top of the script. For example, if you want to analyze ETH and ADA, ensure that the respective boxes are checked.
Adjust Time Frame: Set the time frame for the indicator. You can choose any time frame or leave it blank to use the current chart's time frame.
Set EMA Length: Choose the length for the EMA calculation based on your trading strategy. A shorter EMA (e.g., 5) reacts more quickly to price changes, while a longer EMA (e.g., 20) smooths out price fluctuations.
Observe Trends: Monitor the plotted EMAs for the selected pairs. Crossovers of the price with the EMA can indicate potential buy or sell signals. For instance, if the price crosses above the EMA, it may signal a bullish trend, whereas a crossover below could indicate a bearish trend.
Consider Market Hours: Pay attention to the gray background during U.S. trading hours, as this may indicate higher volatility and trading opportunities.
Conclusion
The "20 Pairs/USDT&BTC" indicator is a powerful tool for cryptocurrency traders looking to analyze multiple pairs simultaneously. By providing a visual representation of EMAs, it aids in identifying trends and potential trading opportunities in a user-friendly manner. Make sure to adapt the settings according to your trading strategy and market conditions for optimal results.
Amir Hasankhah & Ali Beyki
CTA-min D1 — Donchian 55/20 Trend Breakout (ATR Risk)What it is
A clean, daily trend-following breakout inspired by classic CTA/Turtle logic. It buys strength and sells weakness, then lets winners run with a channel-based trailing stop. No curve-fitting, no clutter—just rules.
How it trades
Timeframe: Daily (D1)
Entry: Close breaks the previous 55-bar Donchian channel (above for longs, below for shorts).
Exit/Trail: Trailing stop at the 20-bar Donchian channel on the opposite side (no fixed TP).
Risk: Initial stop = ATR(N) × stopMult (ATR is smoothed). Position size risks riskPct% of equity based on stop distance.
Labels: “BUY/SELL” only on the entry bar; “STOP BUY/STOP SELL” only on the exit bar.
Pyramiding: Off (one position at a time).
Regime Alignment with EMAs (recommended filter, not enforced by code)
Add EMA 50 and EMA 200 to the D1 chart.
Long bias: take BUY signals only when EMA50 > EMA200 (bullish regime).
Short bias: take SELL signals only when EMA50 < EMA200 (bearish regime).
Optional: for extra selectivity, require the H4 EMAs (50/200) to align with D1 before acting on a signal.
Inputs
entryN (55), exitN (20), atrLen (20), atrSmooth (10), stopMult (2.0), riskPct (0.5%–1.0% recommended).
Works well on (tested by user)
BTCUSD (Bitcoin), EURUSD, GBPJPY, NAS100/US100, USDJPY, AUDUSD, XAGUSD (Silver), US30 (Dow), JP225 (Nikkei), EURGBP, NZDUSD, EURCHF, USDCHF.
How to use
Apply to D1 charts. Review once per day after the daily close and execute next session open to mirror backtest assumptions. Best used as a portfolio strategy across multiple uncorrelated markets. Use the EMA alignment above as a discretionary regime filter to reduce false breakouts.
Notes
For educational use. Markets involve risk; past performance does not guarantee future results. Use responsible position sizing.
Nifty Advance/Decline Ratio - First 20 StocksNifty 20 Advance/Decline Ratio Indicator
This Pine Script tracks the Advance/Decline Ratio of the top 20 Nifty stocks (by weightage as of March 31, 2025). It helps gauge the market's strength by comparing the number of advancing vs. declining stocks among major Nifty heavyweights. The script calculates and plots the ratio, with a reference line at 1 (neutral point). This indicator resets daily and provides insights into overall market trends based on the performance of the top Nifty stocks.
Key Features:
Tracks advance/decline movements of top 20 Nifty stocks.
Plots the Advance/Decline Ratio on the chart.
Resets daily for fresh analysis.
CCI Buy and Sell Signals with 20/30 EMACCI Buy and Sell Signals with EMA and ATR Stop Loss/Take Profit
This indicator is designed to identify buy and sell signals based on a combination of the Commodity Channel Index (CCI) and Exponential Moving Averages (EMA). It also includes an optional ATR-based stop loss and take profit system, which is useful for traders who want to manage their trades with dynamic risk levels.
Features:
CCI Buy and Sell Signals:
Buy Signal: A buy signal is triggered when the CCI crosses up through -100 (from an oversold condition), the 20-period EMA is above the 30-period EMA, and the price is above the 200-period EMA. This suggests that the market is entering an upward trend.
Sell Signal: A sell signal is triggered when the CCI crosses down through +100 (from an overbought condition), the 20-period EMA is below the 30-period EMA, and the price is below the 200-period EMA. This suggests that the market is entering a downward trend.
Exponential Moving Averages (EMA):
The script plots three EMAs:
20-period EMA (Green): Used to identify short-term trends.
30-period EMA (Red): Used to capture medium-term trends.
200-period EMA (Orange): A long-term trend filter, with the price above it generally indicating bullish conditions and below it indicating bearish conditions.
ATR-Based Stop Loss and Take Profit:
Optional Feature: The ATR (Average True Range) indicator can be used to set stop loss and take profit levels based on market volatility.
Stop Loss: Set at a multiple of the ATR below the entry price for long positions and above the entry price for short positions.
Take Profit: Set at a multiple of the ATR above the entry price for long positions and below the entry price for short positions.
Customizable: You can adjust the ATR length, Stop Loss Multiplier, and Take Profit Multiplier through the settings.
Dots: The stop loss and take profit levels are plotted as dots on the chart when the ATR feature is enabled.
Alert Conditions:
Buy Signal Alert: Triggered when a buy signal occurs based on CCI crossing up -100 and other conditions being met.
Sell Signal Alert: Triggered when a sell signal occurs based on CCI crossing down +100 and other conditions being met.
Any Signal Alert: This is a combined alert that triggers for either a buy or sell signal. It helps you stay updated on both types of signals simultaneously.
How to Use:
The indicator will plot buy and sell arrows on the chart, giving clear entry points for trades based on CCI and EMA conditions.
The ATR stop loss and take profit dots (when enabled) provide automatic risk management levels, adjusting dynamically with market volatility.
Traders can customize the ATR settings to fine-tune their stop loss and take profit levels, making this strategy adaptable to different trading styles and market conditions.
Green/Red Candle Probability (EMA 7, SMA 20, SMA 200)### Strategy Explanation for Candle Probability Indicator
This script is designed to calculate the **probability of bullish (green) and bearish (red) candles** over a given analysis period. It leverages three key moving averages to identify market trends and display these probabilities directly on the chart, making it easier for traders to make informed decisions.
#### **How the Script Works:**
1. **Trend Detection Using Moving Averages:**
- The script calculates three moving averages:
- **EMA (Exponential Moving Average) over 7 periods**
- **SMA (Simple Moving Average) over 20 periods**
- **SMA over 200 periods**
The trend is classified as:
- **Bullish:** When EMA 7 > SMA 20 > SMA 200
- **Bearish:** When EMA 7 < SMA 20 < SMA 200
2. **Candle Analysis:**
The script analyzes the last "n" candles (based on the user-defined lookback period) to count the number of bullish and bearish candles:
- **Bullish (green) candle:** The closing price is higher than the opening price.
- **Bearish (red) candle:** The closing price is lower than the opening price.
3. **Probability Calculation:**
The probabilities are calculated as a percentage of bullish and bearish candles in the lookback period:
- **Green Probability (%) = (Number of Green Candles / Lookback Period) × 100**
- **Red Probability (%) = (Number of Red Candles / Lookback Period) × 100**
4. **Displaying Results in a Table:**
The results are displayed in a table on the chart, including:
- **Green Probability (%)**
- **Red Probability (%)**
- **Current Trend (Bullish, Bearish, or Neutral)**
#### **Strategy Overview:**
This indicator provides traders with a quick overview of the candle probabilities and the current market trend based on moving averages. It helps traders:
- Gauge the likelihood of bullish or bearish candles appearing in the near future.
- Identify the prevailing trend (bullish, bearish, or neutral).
- Adjust their trading strategies based on statistical probabilities rather than assumptions.
### **Important Notes:**
- The lookback period can be customized between **10 and 200 periods**.
- The indicator does not provide buy/sell signals but gives insights into market behavior.
By understanding the candle probabilities and the trend, traders can better assess market conditions and improve their decision-making process.
Enhanced 20 SMA Signal BoxesEnhanced 20 SMA Signal Boxes
This indicator leverages the 20-period Simple Moving Average (SMA) to generate clear and actionable trading signals. Designed for traders looking to streamline their entry and exit decisions, the script provides a visual hierarchy with dynamic signal boxes and target levels.
Features:
Buy & Sell Signals:
Automatically detects when the price crosses above or below the 20 SMA and marks the signal candle with a yellow box for clear visualization of entry (top of the box) and risk (bottom of the box).
Dynamic Target Levels:
Three blue outlined boxes are generated for each signal to indicate profit-taking levels. The boxes dynamically adjust based on the signal candle’s range and come with customizable labels:
"Long Target" for buy signals
"Short Target" for sell signals
Alert System:
Get notified when the price enters or exits the signal candle or when target levels are reached.
Customization Options:
Adjust SMA color, thickness, and length.
Modify box opacity for better chart visibility.
Edit target labels and positionings to suit your trading style.
Risk/Reward Visualization:
The script calculates and displays the risk/reward ratio visually between the signal candle and the first target box.
Dynamic Styling:
Target boxes feature gradient shades to highlight increasing profit potential, and optional lines connect the signal candle to targets for organized visuals.
This indicator simplifies decision-making by providing clear signals and targets, making it suitable for day traders, swing traders, and scalpers alike.
Manoj Personal EMA 5-203 EMA Trading Strategy Script Overview:
EMAs Used:
5 EMA: Short-term moving average.
20 EMA: Medium-term moving average.
564 EMA: Long-term moving average to identify overall trend direction.
Entry Signals:
Strong Buy: Triggered when:
Price is above the 564 EMA (uptrend).
The 5 EMA crosses above the 20 EMA (bullish crossover).
The current candle is green (close > open).
Strong Sell: Triggered when:
Price is below the 564 EMA (downtrend).
The 5 EMA crosses below the 20 EMA (bearish crossover).
The current candle is red (close < open).
Exit Signal:
Position is closed when the price touches back to the 564 EMA (either side, up or down):
A "Close Position" label is shown in green for long trades.
A "Close Position" label is shown in red for short trades.
Risk Management:
Stop-Loss: Placed at the last swing low (for longs) or last swing high (for shorts), calculated over the last 10 bars.
Take-Profit: A 1:3 risk/reward ratio is used, where the potential reward is three times the risk.
Alerts:
Alerts are triggered for buy and sell signals.
Alerts are also triggered when the exit condition (price touching the 564 EMA) is met.
This script is designed to work on timeframes of 15 minutes or higher but can also be used for 5-minute scalping. It plots the EMAs on the chart, highlights buy/sell opportunities, shows stop-loss and take-profit levels, and generates alerts for key signals.
Combo 2/20 EMA & CCI
This is another part of my research work, where I test a combination of two strategies, receiving a combined signal. In order to understand which indicator combinations work better, which work worse, as filters for trades. This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The Commodity Channel Index (CCI) is best used with markets that display cyclical or seasonal characteristics, and is formulated to detect the beginning and ending of the cycles by incorporating a moving average together with a divisor that reflects both possible and actual trading ranges. The final index measures the deviation from normal, which indicates major changes in market trend.
Strategy tester settings:
Initial capital: 1000
Order size: 0.5
Commission: 0.1%
Other as default.
Indicator settings:
EMA Length: 50
CCI Length: 10
Fast MA Length: 15
Slow MA Length: 20
Other as default.
WARNING:
- For purpose educate only
- This script to change bars colors.
