Narrow Range + Inside Day, Long Only Strategy (by ChartArt)This long only strategy determines when there is both a NR7 (narrow range 7, a trading day in which the range is narrower than any of the previous six days), plus a inside day (high of the current day is lower than the high of the previous day and the low of the current day is higher than the low of the previous day) both on the same trading day and enters a long trade when the close is larger than the open and the slope of the simple moving average is upwards, too.
The strategy closes the long trade next time the daily close is larger than the open in any of the next trading days. In addition the NR7ID can be colored (the color is green when the close is larger that day than the open, else the color is red) and the SMA can be drawn with a color based on the direction of the SMA slope. To fine-tune the strategy it is highly recommended to change the period length of the SMA, which determines if the measured SMA slope is upwards or not.
Inspiration:
How to trade NR7 and Inside Day Pattern
paststat.com
Code credit:
NR7 indicator script from Tradingview user Lazybear:
pastebin.com
ابحث في النصوص البرمجية عن "chart"
The Always Winning Holy Grail Strategy - Not (by ChartArt)How to win all the time if 1+1 = 2
The most upvoted strategies on Tradingview are those which seemingly work 100%, but they actually don't at all because they are repainting and would not work in live trading reality. They are using the multi-time-frame strategy testing bug and thereby trade during the backtest on close prices before the bar has closed in reality.
Top list of these cheating repainting strategies:
1569 upvotes ANN Strategy
877 upvotes Vdub FX SniperVX3 Strategy
481 upvotes Get Trend Strategy
I guess there are much more strategies among the top upvoted strategies on Tradingview which cheat with a multi-time-frame close price, but three examples are enough. The ANN Strategy uses the daily close price as multi-time-frame and cheats with that. The Vdub FX SniperVX3 Strategy uses the half-day (720 minute) close price to cheat and the Get Trend Strategy uses the 160 minute bar close for repaint cheating (at least here the author of this strategy explains that his strategy is only demo and would not work, which might be the reason why it has 1000 less upvotes than the ANN Strategy. I already wrote months ago a comment underneat these strategies to explain this issue but it hasn't stopped these strategies from getting more and more upvotes and staying in the top list.
I thought this way of cheating is lame, so I invented a new way to cheat my way to seemingly reach 100% profitable trades all the time by going long if 1+1 is equal to 2. Welcome to super wide stop losses. Simply use a extreme unrealistic large stop loss and take profit after a realistic amount of pips and according to Tradingview's current backtest module you win 100% all the time. Yay! :)
My recommendation for the Tradingview team is to add a function to let the user define a stop out and margin call level and maybe set a realistic setting as default, like 100%.
Please don't trade with this strategy!
Buy Tuesday Strategy (by ChartArt)This strategy is as simple as possible: Every Tuesday a new long trade is opened, when Monday (yesterday) closed higher than it opened the week. The strategy closes all orders when the next close is larger than the open.
This strategy does not have any other stop loss or take profit money management logic and is therefore VERY risky, because it always waits to close all orders until the close is larger than the open. I recommend to mainly use it to find stocks or assets which are trending higher and are following this very basic trading idea.
--
P.S. The code of the strategy does not work on digital assets like Bitcoin, Litecoin or Ethereum, which are traded every day including Saturday and Sunday, because the code checks if Monday was preceded by a Friday (and not by a Sunday and Saturday).
Fractal Breakout Strategy (by ChartArt)This long only strategy determines the price of the last fractal top and enters a trade when the price breaks above the last fractal top. The strategy also calculates the average price of the last fractal tops to get the trend direction. The strategy exits the long trade, when the average of the fractal tops is falling (when the trend is lower highs as measured by fractals). And the user can manually set a time delay of this exit condition. The default setting is a long strategy exit always 3 bars after the long entry condition appeared.
In addition as gimmicks the fractals tops can be highlighted (the default is blue) and a line can be drawn based on the fractal tops.This fractal top line is colored by the fractal top average trend in combination with the fractal breakout condition.
This strategy works better on higher time-frames (weekly and monthly), but it also works on the daily and some other time-frames. This strategy does not repaint, no repainting.
P.S. I thank Tradingview user barracuda who helped me with the time based exit condition code. And user RicardoSantos for coding the definition of the fractal top, which he uses in his " Fractals" scripts.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Daily Close Comparison Strategy (by ChartArt via sirolf2009)Comparing daily close prices as a strategy.
This strategy is equal to the very popular "ANN Strategy" coded by sirolf2009(1) which calculates the percentage difference of the daily close price, but this bar-bone version works completely without his Artificial Neural Network (ANN) part.
Main difference besides stripping out the ANN is that my version uses close prices instead of OHLC4 prices, because they perform better in backtesting. And the default threshold is set to 0 to keep it simple instead of 0.0014 with a larger step value of 0.001 instead of 0.0001. Just like the ANN strategy this strategy goes long if the close of the current day is larger than the close price of the last day. If the inverse logic is true, the strategy goes short (last close larger current close). (2)
This basic strategy does not have any stop loss or take profit money management logic. And I repeat, the credit for the fundamental code idea goes to sirolf2009.
(2) Because the multi-time-frame close of the current day is future data, meaning not available in live-trading (also described as repainting), is the reason why this strategy and the original "ANN Strategy" coded by sirolf2009 perform so excellent in backtesting.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
(1) You can get the original code by sirolf2009 including the ANN as indicator here:
(1) and this is sirolf2009's very popular strategy version of his ANN:
MACD + Stochastic, Double Strategy (by ChartArt)This strategy combines the classic stochastic strategy to buy when the stochastic is oversold with a classic MACD strategy to buy when the MACD histogram value goes above the zero line. Only difference to the classic stochastic is a default setting of 71 for overbought (classic setting 80) and 29 for oversold (classic setting 20).
Therefore this strategy goes long if the MACD histogram goes above zero and the stochastic indicator detects a oversold condition (value below 29). If the inverse logic is true, the strategy goes short (stochastic overbought condition with a value above 71 and the MACD histogram falling below the zero line value).
Please be aware that this pure double strategy using simply two classic indicators does not have any stop loss or take profit money management logic.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Bollinger + RSI, Double Strategy (by ChartArt) v1.1This strategy uses the RSI indicator together with the Bollinger Bands to sell when the price is above the upper Bollinger Band (and to buy when this value is below the lower band). This simple strategy only triggers when both the RSI and the Bollinger Band indicators are at the same time in a overbought or oversold condition.
UPDATE
In this updated version 1.1 the strategy was both simplified for the user (less inputs) and made more successful in backtesting by now using a 200 period for the SMA which is the basis for the Bollinger Band. I also reduced the number of color alerts to show fewer, but more relevant trading opportunities.
And just like the first version this strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
P.S. For advanced users if you want access to more functions of this strategy script, then please use version 1.0:
Bollinger + RSI, Double Strategy (by ChartArt)Bollinger Bands + RSI, Double Strategy
This strategy uses a slower RSI with period 16 to sell when the RSI increases over the value of 55 (or to buy when the value falls below 45), with the classic Bollinger Bands strategy to sell when the price is above the upper Bollinger Band and falls below it (and to buy when the price is below the lower band and rises above it). This strategy only triggers when both the RSI and the Bollinger Bands indicators are at the same time in the described overbought or oversold condition. In addition there are color alerts which can be deactivated.
This basic strategy is based upon the "RSI Strategy" and "Bollinger Bands Strategy" which were created by Tradingview and uses no money management like a trailing stop loss and no scalping methods. Every win/loss trade is simply counted from the last overbought/oversold condition to the next one.
This strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Moving Average Consecutive Up/Down Strategy (by ChartArt)This simple strategy goes long (or short) if there are several consecutive increasing (or decreasing) moving average values in a row in the same direction. The bars can be colored using the raw moving average trend. And the background can be colored using the consecutive moving average trend setting. In addition a experimental line of the moving average change can be drawn.
The strategy is based upon the "Consecutive Up/Down Strategy" which was created by Tradingview.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Rounded Weekly Pivot (by ChartArt)Trade with the trend. This is an overlay indicator which shows the weekly pivot (rounded) either as line or circle drawing, select-able by the user. The width of the pivot line (or circle) overlay is also adjustable.
In addition the bars can be colored by the trend, depending if the close price is above or below both the weekly and monthly pivots. If the close price is neither above or below both the weekly and monthly pivot prices the trend color is neutral blue.
The weekly pivot indicator with the optional setting that the pivot price is drawn as circles instead of a line:
And here with the pivot drawing disabled, showing only the pivot bar trend color
Outsidebar vs Insidebar, Illusion Strategy (by ChartArt)WARNING: This strategy does not work! Please don't trade with this strategy
I'm sharing this strategy for the following three educational reasons:
1. You can easily find 100% strategies, but if they only seem to work 100% on one asset, they actually don't work at all. Therefore never backtest your strategy only on one asset, especially forward testing is useless, because it tends to repeat the old patterns. Your strategy has to work on as many different assets as possible.
2. The pyramiding of orders can have an impact on the strategy. In this case if you manually change the strategy settings by increasing it from 1 to 100 pyramiding orders changes the percent profitable on "UKOIL" monthly from 100% to 90% profitable. On other assets you can see very different results. Allowing much more pyramiding orders in this case results in opening orders where the background color highlights appear.
3. The Tradingview backtest beta version currently does not close the last open trade during the backtest. In this case going long on "UKOIL" near the top in 2011 as this strategy did would result in a big loss in 2015. But since the trade is still open and not canceled out by a new short order it still appears as if this strategy works 100% profitable. Which it doesn't.
Moving Average Cross Alert, Multi-Timeframe (MTF) (by ChartArt)See when two moving averages cross. With the option to choose between four moving average calculations:
SMA = simple moving average
EMA = exponential moving average (default)
WMA = weighted moving average
Linear = linear regression
The moving averages can be plotted from different time-frames, like e.g. the weekly or 4 hour time-frame using HL2, HLC3 or OHLC4 as price source for the calculation. In addition there is a background color alert and arrows when the moving averages cross each other when the price also rises or falls. And the moving averages are colored depending on their trend direction (if they are trending up or down).
Market Trend Strength (MTS) (by ChartArt)See the current trend strength of the market. An additional filter makes trend consolidation areas visible. The color changes there each bar back and forth between green and red.
This area was interesting. Would have been a better example:
If the filter is deactivated the indicator shows the last measured price trend (green for up and down for red).
Watermelon _cleanThis is updated newest chart, set buy and sell alerts same time frame as chart and for fastest response set it to one alert per bar
Momentum-Contraction Breakout (MCB) — IndicatorThe Momentum-Contraction Breakout (MCB) indicator is designed by joan alcantara to identify high–probability bullish continuation setups based on the sequence Impulse → Contraction → Breakout.
This indicator detects stocks that:
Show early uptrend structure
The short-term EMA is above the mid-term EMA, which is above the long-term EMA, confirming momentum and trend alignment.
Enter a volatility contraction phase
Price forms a controlled pullback of 1–5 candles with decreasing true range and a tight price range, signaling reduced supply and absorption.
Break out with conviction
The breakout is validated when price closes above recent range highs, moves at least a defined % upward, and volume expands above its 20-period average.
When all conditions align, the indicator marks the breakout candle and allows alerts to be triggered.
What this indicator is useful for:
Finding momentum continuation setups early in trend development
Scanning watchlists for high-quality entries
Creating actionable trade alerts for swing and position trading
Supporting systematic setups based on volatility contraction theory
Best used on daily timeframes, but can be adapted to intraday charts when liquidity is sufficient.
MACD Volume VWAP Scalping (2min) by Obiii📘 Strategy Description (for TradingView)
MACD Volume VWAP Scalping Strategy (2-Minute Intraday Momentum)
This strategy is designed for scalpers and short-term intraday traders who focus on capturing small, high-probability moves during the most active hours of the trading session — typically between 9:45 AM and 11:30 AM (New York time).
The system combines three key momentum confirmations:
MACD crossovers to detect short-term trend shifts,
Volume spikes to validate real market participation, and
VWAP / EMA alignment to filter trades in the direction of the prevailing intraday trend.
🔹 Entry Logic
Long Entry:
MACD line crosses above the signal line
Both MACD and Signal are above zero
Current volume > average of the last 10 candles
Price is above VWAP and (optionally) above EMA 9 and EMA 20
Short Entry:
MACD line crosses below the signal line
Both MACD and Signal are below zero
Current volume > average of the last 10 candles
Price is below VWAP and (optionally) below EMA 9 and EMA 20
🎯 Exit Logic
Fixed Take Profit: +0.25%
Fixed Stop Loss: -0.15% to -0.20%
Optionally, switch to the 5-minute chart after entry to monitor momentum and manage exits more smoothly.
⚙️ Recommended Settings
Timeframe: 2 minutes (entries), 5 minutes (monitoring)
Market Session: 9:45 AM – 11:30 AM EST
Assets: Highly liquid instruments such as SPY, QQQ, NVDA, TSLA, AAPL, or large-cap momentum stocks.
💡 Notes
This is a momentum-based scalping strategy — precision and discipline are key.
It performs best in high-volume environments where clear direction emerges after the morning volatility settles.
The system can be fine-tuned for different profit targets, MACD settings, or volume thresholds depending on volatility.
HITESH SOMANI Strategy Technical based strategy. Strong chart pattern based strategy for working professionals who dont have much time for trading
KRX RS OverlayKRX RS Overlay (Manual, Pine v6) (한국어 설명 아래에)
What it does
Plots a Relative Strength (RS) line of the current symbol versus a selected Korean market index on the price chart (overlay). RS is computed as Close(symbol) / Close(benchmark) and rebased to 100 N bars ago for easy comparison. An SMA of RS is included for signal smoothing.
Benchmarks (manual selection only)
• KOSPI (KRX:KOSPI) — default
• KOSDAQ (KRX:KOSDAQ)
• KOSPI200 (KRX:KOSPI200)
• KOSDAQ150 (KRX:KOSDAQ150)
Inputs
• Benchmark: choose one of the four indices above (default: KOSPI)
• Rebase N bars ago to 100: sets the normalization point (e.g., 252 ≈ 1 trading year on daily)
• RS SMA length: smoothing period for the RS line
• Show 100 base line: toggle the reference line at 100
How to read
• RS rising → the symbol is outperforming the selected index.
• RS above RS-SMA and sloping up → strengthening leadership vs. the benchmark.
• RS crossing above RS-SMA → momentum-style confirmation (an alert is provided).
Tips
• Works on any timeframe; the benchmark is requested on the same timeframe.
• If the RS line scale conflicts with price, place the indicator on the Left scale (Chart Settings → Scales) or set the series to use the left axis.
Notes
• This script is manual only (no auto index detection).
• Educational use; not financial advice.
⸻
KRX RS 오버레이 (수동, Pine v6)
기능
현재 종목을 선택한 한국 지수와 비교한 상대강도(RS) 라인을 가격 차트 위(오버레이)에 표시합니다. RS는 종목 종가 / 지수 종가로 계산하며, 비교를 쉽게 하기 위해 N봉 전 = 100으로 리베이스합니다. 신호 완화를 위해 RS의 SMA도 함께 제공합니다.
벤치마크(수동 선택만 지원)
• KOSPI (KRX:KOSPI) — 기본값
• KOSDAQ (KRX:KOSDAQ)
• KOSPI200 (KRX:KOSPI200)
• KOSDAQ150 (KRX:KOSDAQ150)
입력값
• Benchmark: 위 4개 지수 중 선택(기본: KOSPI)
• Rebase N bars ago to 100: 리베이스 기준(일봉 252 ≈ 1년)
• RS SMA length: RS 스무딩 기간
• Show 100 base line: 100 기준선 표시 여부
해석 가이드
• RS 상승 → 선택 지수 대비 초과성과.
• RS가 RS-SMA 위 & 우상향 → 벤치마크 대비 리더십 강화.
• RS가 RS-SMA 상향 돌파 → 모멘텀 확인(알림 제공).
팁
• 모든 타임프레임에서 동작하며, 지수도 동일 타임프레임으로 요청됩니다.
• 가격 축과 스케일이 겹치면 왼쪽 스케일로 표시하도록 설정하세요(차트 설정 → Scales).
유의사항
• 자동 지수 판별 기능은 포함하지 않았습니다(수동 전용).
Consecutive Gap FinderLooks for consecutive gaps based on daily chart using ATR multiplier.
Highlights them when a certain number are found.
Gold 15m: Trend + S/R + Liquidity Sweep (RR 1:2)This strategy is designed for short-term trading on XAUUSD (Gold) using the 15-minute timeframe. It combines trend direction, support/resistance pivots, liquidity sweep detection, and momentum confirmation to identify high-probability reversal setups in line with the dominant market trend.
⚙️ Core Logic:
Trend Filter (EMA 200):
The strategy only takes long positions when price is above the 200 EMA and short positions when price is below it.
Support/Resistance via Pivots:
Dynamic swing highs and lows are identified using pivot points. These act as local supply and demand levels where liquidity is likely to accumulate.
Liquidity Sweep Detection:
A bullish liquidity sweep occurs when price briefly breaks below the last pivot low (grabbing liquidity) and then closes back above it.
A bearish sweep occurs when price breaks above the last pivot high and then closes back below.
Momentum & Candle Strength:
The strategy filters signals based on candle range and body size to ensure entries occur during strong price reactions, not weak retracements.
Risk Management (1:2 RR):
Stop-loss is placed slightly beyond the last pivot level using ATR-based buffers, and take-profit is set at 2× the risk distance, maintaining a reward-to-risk ratio of 1:2.
💼 Trade Logic Summary:
Long Entry:
After a bullish liquidity sweep & reclaim, momentum confirmation, and trend alignment (above EMA 200).
Short Entry:
After a bearish sweep & reclaim, momentum confirmation, and trend alignment (below EMA 200).
Exit:
Automated via ATR-based Stop Loss and Take Profit targets.
📊 Customization Options:
Adjustable EMA length, pivot settings, ATR multipliers, and RR ratio.
Option to enable/disable trend filter.
Toggle display of S/R zones on chart.
🧠 Best Use:
Works best during London and New York sessions when Gold shows strong momentum.
Can be adapted for forex pairs and indices by tuning ATR and pivot parameters.
QQQ overlay over NQ/NDXThis enhanced version of the QQQ overlay script builds on the original by © PtGambler, adding smoothing via stepped ratios updated on candle close to eliminate oscillation, optimizing performance by reusing lines/labels, restricting visibility to relevant symbols (NDX, NQ1!, NAS100USD), and improving visuals with rounded levels, adjustable level counts (default 5 total), extended lines, and label styles matching "Key Levels" indicator for better readability (gray text, transparent background). Removed unnecessary table and floating labels for a cleaner chart. Thanks to © PtGambler for the foundational work!
XAUUSD 5m — CET 13:00→01:00 Supertrend + RSI (1:2 RR) — $240KThis strategy is designed for XAUUSD (Gold) on the 5-minute chart, optimized for trading during the most active hours (13:00–01:00 CET).
It combines a Supertrend direction filter with RSI crossovers for precise entries, and applies a 1:2 risk–reward ratio for consistent risk management.
🧠 Logic Overview:
Buy Signal: RSI crosses above 55 while Supertrend is bullish
Sell Signal: RSI crosses below 45 while Supertrend is bearish
Trading Hours: 13:00 → 01:00 CET (corresponding to 07:00 → 19:00 New York time)
Risk Management: Fixed 1:2 RR (TP = 2× SL distance from Supertrend line)
Session Management: Automatically closes all trades after 01:00 CET
Order Size: $240,000 notional exposure per position
💡 Best used for:
Scalping or intraday trading on XAUUSD during high-volatility hours.
The setup works best when combined with strong price action or volume confirmation.
⚠️ Disclaimer:
This script is for educational and testing purposes only.
Past performance does not guarantee future results.
Always test on demo before using live funds.
FVG SizeFVG Size Indicator – Description
Overview
This Pine Script v5 indicator detects and visualizes Fair Value Gaps (FVGs) on the chart. It draws colored boxes for FVGs, center lines (CE), and displays the size of each FVG as a label. The indicator is designed for manual analysis, helping traders identify potential price imbalances.
Key Features
FVG Detection:
Identifies bullish and bearish FVGs based on price structure.
Draws colored boxes for FVGs and dotted center lines (CE).
FVG Size Display:
Shows the size of each FVG as a label inside the box.
Customizable minimum size threshold to filter out smaller FVGs.
Dynamic Adjustments:
Extends FVG boxes to the right as new bars form.
Removes FVGs that are filled (mitigated) by price action.
Customizable Settings:
Adjustable colors, text size, and display options.
Settings and Translations
Here are the German settings with their English translations:
FVG Settings
Long FVG Farbe → Long FVG Color (Color for bullish FVG boxes)
Short FVG Farbe → Short FVG Color (Color for bearish FVG boxes)
CE Farbe → CE Color (Color for the center line)
Tage Rückblick → Lookback Days (Number of days to look back for FVGs)
Lösche gefüllte Boxen & Linien → Delete Filled Boxes & Lines (Removes FVGs that have been filled by price)
FVG Display
FVG Größe anzeigen → Show FVG Size (Displays the size of each FVG as a label)
Text → Text Size (Size of the FVG size label text)
Mindestgröße → Minimum Size (Minimum FVG size to display, filtering out smaller FVGs)
How It Works
FVG Detection Logic:
A bullish FVG is detected if the high of the 3rd bar is lower than the low of the 1st bar.
A bearish FVG is detected if the low of the 3rd bar is higher than the high of the 1st bar.
Drawing FVGs:
The indicator draws a box between the high/low of the 1st and 3rd bars.
A center line (CE) is drawn at the midpoint of the FVG.
The size of the FVG is displayed as a label inside the box.
Dynamic Adjustments:
FVG boxes are extended to the right as new bars form.
If the price fills the FVG, the box and line are removed (depending on settings).
Mitigation Logic:
If the price closes beyond the FVG boundaries, the FVG is considered "filled" and removed.
