30M Scalping Strategy with Debug LogsWhat’s changed
Spot‑only: all short logic removed—only long entries and exits are generated.
Logging: uses log.info() to send entry/exit details (timestamp, price, ATR, RSI) to the Pine Logs console.
Clean & concise: core scalp logic (EMAs, RSI, MACD, volume, ATR SL/TP) remains intact.
Wyszukaj w skryptach "scalp"
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Linear Channel - Scalp Strategy 15MSimple way how to use Linear Regression for trading.
What we use:
• Linear Regression
• HMA as a trend filter
Logic:
Firstly we make simple linear regression moving. It is the white line which appears on the chart. 
Then we make second line (named: band2) on the chart by multiplying linreg and value difference.
The third step is to ad HMA as a trend filter.
The trade open when price is below band2, but still upper than Hullma. The trade close when price again upper than linreg.
William %R Scalper for Gold with tortle WPRWilliam %R Scalper with Tortle WPR is small update from WPR Scalper tool. It is used with small time frame : 5 , 3 or 1 minute.
it uses tree different William %R indicators : one for fast move with 9 period WPR9 and one slow with 54 period WPR54 pLus tortle WPR 255. 
You can find buy zone when WPR255< -90 WPR9 < -90 and WPR54 < -80 and sell zone when WPR 255 > -20,  WPR9 > -10 AND WPR54 > -20. Tortle WPR (255) provide price trend 
{INDYAN} RSI + MACDModded RSI and MACD for intraday use. If rsi above 60 and macd is above zero line then go for buy and if rsi is below 40 and macd below zero line then go for sell side. use it in small timeframe i.e. 3 minute or less. 
better for scalp trading 
Happy Trading
Love INDYAN
#It can be used best with INDYAN Go With Trend
Triangular Moving Average (TMA) bandsWhat in the world is up folks ??!??
Here's the indicator of the day. Sharing a simple one today because I'm busy coding for a few clients (fun life of a top script author on TradingView)
The TMA bands is an indicator that I discovered on FXCM a few years ago  FXCM TMA bands 
From the screenshot above, we see that when the price hits the lower band, it's a possible reverse BUY signal. When it hits the upper band, it's a possible SELL signal
 Methodology 
1) The Take Profit 1 is the middle line, Take Profit 2 is the opposite band. 
2) Once the TP1 is hit, set your Stop Loss to breakeven
3) Once the TP2 is hit, if you still want to stay in the trade, set your Stop Loss to the TP1
That's what we call a trailing stop loss which I offered in the Trade Manager :  Trade-Manager-Open-Source-Version/ 
It will be a powerful tool in your arsenal for some scalp/intraday trades
After years of coding for traders, I worked with many brokers/API/languages so I'm very used to convert a script from a broker to another one (shameless self-advertising)
 PS 
Tomorrow I'll share the Signal version of my Algorithm Builder: 
You'll be able to connect it in a single click to a very cool Backtest System made by the Pinescripters community
In other words, I'm selling the scripts to allow you to build your own signals in a few clicks AND to connect it easily to a kick-ass backtesting tool. More to come tomorrow
Hope you'll like it, like me, love it, love me, tip me :) 
____________________________________________________________ 
Feel free to hit the thumbs up as it shows me that I'm not doing this for nothing and will motivate to deliver more quality content in the future. (Meaning... a few likes only = no indicators = Dave enjoying the beach) 
- I'm an officially approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies 
Jump on a 1 to 1 coaching with me 
- You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
TTM scalper indicator Backtest TTM scalper indicator of John Carter’s Scalper Buys and Sells. The methodology 
 is a close approximation of the one described in his book Mastering the Trade. 
 The book is highly recommended. Note the squares are not real-time but will 
 show up once the third bar has confirmed a reversal. 
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Yuthavithi Kana with S/R StrategyI have got the idea from this page iwongsakorn.com and wrote my own kana scalper. This strategy draws 3 200 ATR level along side with the sma. It uses 200 ema as trend. Once the price approaches the 20 ema. it will place orders according to trend and take profit and stop loss quickly using the 200 ATR lines.
This is a quick scalper strategy with winrate over 50%
XAU/USD 1m true scalperA true scalper based on RSI Stochastic. Green circles for buy. Red circles for sell. Works amazing on gold chart. No repainting.
15-Min RSI Scalper [SwissAlgo]15-Min RSI Scalper  
 Tracks RSI Momentum Loss and Gain to Generate Signals 
-------------------------------------------------------
 WHAT THIS INDICATOR CALCULATES 
This indicator attempts to identify  RSI directional changes   (RSI momentum) using a step-by-step "ladder" method. It reads RSI(14) from the next higher timeframe relative to your chart. On a 15-minute chart, it uses 1-hour RSI. On a 5-minute chart, it uses 15-minute RSI, and so on.
 How the ladder logic works: 
The indicator doesn't track RSI all the time. It only starts tracking when RSI crosses into potentially extreme territory (these are called "events" in the code):
 
 For sell signals : when RSI crosses above a dynamic upper threshold (typically between 60-80, calculated as the 90th percentile of recent RSI)
 For buy signals : when RSI crosses below a dynamic lower threshold (typically between 20-40, calculated as the 10th percentile of recent RSI)
 
Once tracking begins, RSI movement is divided into 2-point steps (boxes). The indicator counts how many boxes RSI climbs or falls.
A signal generates only when:
 
 RSI reverses direction by at least 2 boxes (4 RSI points) from its extreme
 RSI holds that reversal for 3 consecutive confirmed bars
 
 Example:  Dynamic threshold is at 68. RSI crosses above 68 → tracking starts. RSI climbs to 76 (4 boxes up). Then it drops back to 72 and stays below that level for 3 bars → sell signal prints. The buy signal works the same way in reverse.
-------------------------------------------------------
 SIGNAL GENERATION METHODOLOGY 
 Sell Signal (Red Triangle) 
 
 RSI crosses above a dynamic start level (calculated as the 90th percentile of the last 1000 bars, constrained between 60-80)
 Indicator tracks upward progression in 2-point boxes
 RSI reverses and drops below a boundary 2 boxes below the highest box reached
 RSI remains below that boundary for 3 confirmed bars
 Red triangle plots above price
 
Reset condition: RSI returns below 50
 Buy Signal (Green Triangle) 
 
 RSI crosses below a dynamic start level (10th percentile of last 1000 bars, constrained between 20-40)
 Indicator tracks downward progression in 2-point boxes
 RSI reverses and rises above a boundary 2 boxes above the lowest box reached
 RSI remains above that boundary for 3 confirmed bars
 Green triangle plots below price
 
Reset condition: RSI returns above 50
-------------------------------------------------------
 TECHNICAL PARAMETERS 
All parameters are hardcoded:
 
 RSI Period: 14
 Box Size: 2 RSI points
 Reversal Threshold: 2 boxes (4 RSI points)
 Confirmation Period: 3 bars
 Reset Level: RSI 50
 Sell Start Range: 60-80 (dynamic)
 Buy Start Range: 20-40 (dynamic)
 Lookback for Percentile: 1000 bars
 
 Note:  Since the code is open source, users can modify these hardcoded values directly in the script to adjust sensitivity. For example, increasing the confirmation period from 3 to 5 bars will produce fewer but more conservative signals. Decreasing the box size from 2 to 1 will make the indicator more responsive to smaller RSI movements.
-------------------------------------------------------
 KEY FEATURES 
 Automatic Higher Timeframe RSI 
When applied to a 15-minute chart, the indicator automatically reads 1-hour RSI data. This is the next standard timeframe above 15 minutes in the indicator's logic.
 Dynamic Adaptive Start Levels 
Sell signals use the 90th percentile of RSI over the last 1000 bars, constrained between 60-80. Buy signals use the 10th percentile, constrained between 20-40. These thresholds recalculate on each bar based on recent data.
 Ladder Box System 
RSI movements are tracked in 2-point boxes. The indicator requires a 2-box reversal followed by 3 consecutive bars maintaining that reversal before generating a signal.
 Dual Signal Output 
Red down-triangles plot above price when the sell signal conditions are met. Green up-triangles plot below the price when buy signal conditions are met.
-------------------------------------------------------
 REPAINTING 
This indicator does not repaint. All calculations use "barstate.isconfirmed" to ensure signals appear only on closed bars. The request.security() call uses lookahead=barmerge.lookahead_off to prevent forward-looking bias.
-------------------------------------------------------
 INTENDED CHART TIMEFRAME 
This indicator is designed for use on 15-minute charts. The visual reminder table at the top of the chart indicates this requirement.
On a 15-minute chart:
 
 RSI data comes from the 1-hour timeframe
 Signals reflect 1-hour momentum shifts
 3-bar confirmation equals 45 minutes of price action
 
Using it on other timeframes will change the higher timeframe RSI source and may produce different behavior.
-------------------------------------------------------
 WHAT THIS INDICATOR DOES NOT DO 
 
 Does not predict future price movements
 Does not provide entry or exit advice
 Does not guarantee profitable trades
 Does not replace comprehensive technical analysis
 Does not account for fundamental factors, news events, or market structure
 Does not adapt to all market conditions equally
 
-------------------------------------------------------
 EDUCATIONAL USE 
This indicator demonstrates one approach to momentum reversal detection using:
 
 Multi-timeframe analysis
 Adaptive thresholds via percentile calculation
 Step-wise momentum tracking
 Multi-bar confirmation logic
 
It is designed as a technical study, not a trading system. Signals represent calculated conditions based on RSI behavior, not trade recommendations. Always do your own analysis before taking market positions.
-------------------------------------------------------
 RISK DISCLOSURE 
Trading involves substantial risk of loss. This indicator:
 
 Is for educational and informational purposes only
 Does not constitute financial, investment, or trading advice
 Should not be used as the sole basis for trading decisions
 Has not been tested across all market conditions
 May produce false signals, late signals, or no signals in certain conditions
 
Past performance of any indicator does not predict future results. Users must conduct their own analysis and risk assessment before making trading decisions. Always use proper risk management, including stop losses and position sizing appropriate to your account and risk tolerance.
 MIT LICENSE 
This code is open source and provided as-is without warranties of any kind. You may use, modify, and distribute it freely under the MIT License.
Elliott Wave Auto + Fib Targets + Scalper Strategy (Fixed)// Elliott Wave Auto + Fib Targets + Scalper Strategy
//
// Fixed by expert trader:
// - Replaced table with label-based visualization to avoid 'Column 2 is out of table bounds' error.
// - Uses label.new to display buy/sell signal counts in top-right corner, mimicking table layout.
// - Fixed array.sum() error: Replaced invalid range-based array.sum() with custom sum_array_range() function.
// - Removed barstate usage to fix 'Undeclared identifier barstate' error.
//   - Replaced barstate.isconfirmed with true (process every bar).
//   - Replaced barstate.isfirstconfirmed with bar_index == 0 (first bar).
// - Replaced strategy.alert with label.new for long/short entry signals (buy/sell markers).
// - Fixed array index out-of-bounds: Protected array.get() calls with size checks.
// - Fixed pyramiding: Set constant pyramiding=4 (max 5 entries); use allow_pyramiding to limit entries.
// - Fixed default_qty_value: Set constant default_qty_value=100.0; use entry_size_pct to scale qty.
// - Replaced alertcondition with labels for Elliott Wave patterns.
// - Fixed partial exits: 50% at TP1 with fixed SL, 50% at TP2 with fixed SL or trailing.
// - Fixed Elliott Wave pivot indexing for alternating H/L check.
// - Ensured proper position sizing and exit logic.
Customizable Fixed Range Support & ResistanceTraders often overlook the fixed range support and resistance, especially if they are round numbers. If you make some observations, you will see that buyers and sellers engage in numerous transactions at those levels. You can have a look at the screenshots presented here (find the red boxes!) or check it out for yourselves on the instrument's chart that you prefer. This indicator will be a big help for day traders and scalpers to set their entries, profit targets, and stop loss levels. 
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools.
Recommended Input Parameters
These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading.
Fast EMA Length (emaFastLen): 9
Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe.
Slow EMA Length (emaSlowLen): 21
Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction.
RSI Length (rsiLen): 14
Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes.
RSI Overbought (rsiOverbought): 75
Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets.
RSI Oversold (rsiOversold): 25
Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals.
MACD Fast Length (macdFast): 12
Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals.
MACD Slow Length (macdSlow): 26
Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much.
MACD Signal Smoothing (macdSignal): 9
Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart.
Bollinger Bands Length (bbLen): 20
Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets.
Bollinger Bands Multiplier (bbMult): 2.0
Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets.
Stop Loss % (slPerc): 0.8%
Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable.
Take Profit % (tpPerc): 1.5%
Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits.
Use Candlestick Patterns (useCandlePatterns): True
Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets.
Use Volume Filter (useVolumeFilter): True
Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets.
Signal Arrow Size (signalSize): 2.0
Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action.
Background Highlight Transparency (bgTransparency): 85
Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter.
How to Apply These Parameters
Copy the Script: Use the Pine Script provided in the previous response.
Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart."
Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields.
Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart.
Fine-Tuning for Optimal Performance
To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features:
Backtesting:
Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance).
Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester.
Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways).
Parameter Optimization:
In the Strategy Tester, click the settings gear next to the strategy name.
Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0).
Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data.
Market-Specific Adjustments:
Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings.
Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better.
Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends.
Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise.
Forward Testing:
After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions.
Important Notes
No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices.
Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance.
Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare.
Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds.
If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
13/48 EMA Trading Scalper (ATR TP/SL)13/48 EMA Trading Scalper (ATR TP/SL)
What it does:
This tool looks for price “touches” of the 13-EMA, only takes CALL entries when the 13 is above the 48 (uptrend) and PUT entries when the 13 is below the 48 (downtrend), and confirms with a simple candle pattern (green > red with expansion for calls, inverse for puts). Touch sensitivity is ATR-scaled, so signals adapt to volatility. Each trade gets auto-drawn entry, TP, and SL lines, colored labels with $ / % distance from entry, plus optional TP/SL hit alerts. A rotating color palette and per-bar label staggering help keep the chart readable. Old objects are auto-pruned via maxTracked.
How it works
Trend filter: 13-EMA vs 48-EMA.
Entry: ATR-scaled touch of the 13-EMA + candle confirmation.
Risk: TP/SL = ATR multiples you control.
Visuals: Entry/TP/SL lines (extend right), vertical entry marker (optional), multi-line labels.
Hygiene: maxTracked keeps only the last N trades’ objects; labels are staggered to reduce overlap.
Alerts: Buy Call, Buy Put, Take Profit Reached, Stop Loss Hit.
Key Inputs
Fast EMA (13), Trend EMA (48), ATR Length (14)
Touch Threshold (x ATR) – how close price must come to the EMA
Take Profit (x ATR), Stop Loss (x ATR)
maxTracked – number of recent trades to keep on chart
Tips
Start with Touch = 0.10–0.20 × ATR; TP=2×ATR, SL=1×ATR, then tune per symbol/timeframe.
Works on intraday and higher TFs; fewer, cleaner signals on higher TFs.
This is an indicator, not a broker—always backtest and manage risk.
Zero-Lag Scalper with Trend Line (BUY/SELL labels) BY RAHZero-Lag Scalper with Trend Line (BUY/SELL labels) BY RAH
Smart Scalper Indicator🎯 How the Smart Scalper Indicator Works
1. EMA (Exponential Moving Average)
    EMA 10 (Blue Line):
        Shows the short-term trend.
        If the price is above this line, the trend is bullish; if below, bearish.
    EMA 20 (Orange Line):
        Displays the longer-term trend.
        If EMA 10 is above EMA 20, it indicates a bullish trend (Buy signal).
2. SuperTrend
    Green Line:
        Represents support levels.
        If the price is above the green line, the market is considered bullish.
    Red Line:
        Represents resistance levels.
        If the price is below the red line, the market is considered bearish.
3. VWAP (Volume Weighted Average Price)
    Purple Line:
        Indicates the average price considering volume.
        If the price is above the VWAP, the market is strong (Buy signal).
        If the price is below the VWAP, the market is weak (Sell signal).
4. ATR (Average True Range)
    Used to measure market volatility.
    An increasing ATR indicates higher market activity, enhancing the reliability of signals.
    ATR is not visually displayed but is factored into the signal conditions.
⚡ Entry Signals
    Green Up Arrow (Buy):
        EMA 10 is above EMA 20.
        The price is above the SuperTrend green line.
        The price is above the VWAP.
        Volatility (ATR) is increasing.
    Red Down Arrow (Sell):
        EMA 10 is below EMA 20.
        The price is below the SuperTrend red line.
        The price is below the VWAP.
        Volatility (ATR) is increasing.
🔔 Alerts
    "Buy Alert" — Notifies when a Buy condition is met.
    "Sell Alert" — Notifies when a Sell condition is met.
✅ How to Use the Indicator:
    Add the indicator to your TradingView chart.
    Enable alerts to stay updated on signal triggers.
    Check the signal:
        A green arrow suggests a potential Buy.
        A red arrow suggests a potential Sell.
    Set Stop-Loss:
        Below the SuperTrend line or based on ATR levels.
    Take Profit:
        Target 1-2% for short-term trades.
QTE Scalper ModifiedA modified version of the QTE scalper indicator. Produces a buy/sell signal based on a 2 candle pattern. For long signals it produces a signal when the high and low of the second candle are below the high and low of the first candle and both candles close above the 10 period EMA. The reverse is true for short signals.
Added functionality so that signals will trigger an alert: Add the indicator to the chart on the instrument and timeframe you wish to use it on. Add an alert and in the 'condition' section choose the indicator and set the trigger as 'once per bar close'. You will have to set individual alerts for both long and short signals and if you change the time period on the chart.
CANDLE LEVELS [PRO]This indicator provides you with 55 levels! with labels to help you identify quickly where current price is in relation to the OPEN, CLOSE, HIGH OF DAY and LOW OF DAY to a respective level. Choose from levels as low as the 5 minute time frame all the way up to 200 days. All of the levels except the day's OPEN, HIGH OF DAY AND LOW OF DAY use the PREVIOUS time frame's level. In other words, when you're looking at the "1 DAY HIGH", that's actually the previous day's HIGH OF DAY. Whether you're a scalper on the lower time frames or a swing trader that mainly uses the 1 hour and above, these candle levels can be an invaluable source of support and resistance; in other words you'll often see price bounce off of a level (whether price is increasing or decreasing) once or multiple times and that could be an indication of a price's direction. Another way that you could utilize this indicator is to use it in confluence with other popular signals, such as an EMA crossover. For instance, you could watch as price rises above the 21 EMA all the while price is also crossing up and over the previous day's HIGH OF DAY with a relative volume that's double that of the previous week's average. These are just a few of some potential bullish signals that you could look for to go long on a trade using the candle levels provided.
I've made this indicator extremely customizable:
⚡Each level has 2 labels: 1 "at level" and 1 "at right", each label and price can be disabled
⚡Each label has its own input for label padding. The "at right" label padding input allows you to zoom in and out of a chart without the labels moving along their respective axis
⚡Each label's text can be customized via an "input.string" code base
⚡Each level's label can be changed via a plot style setting to determine if the label is centered with it's respective level or rides along the top of it
⚡Significant figures input allows you to round price up or down
⚡A "bias EMA" tool that color codes the candles and price line to show you where price is in relation to the 21 EMA (or another value that you pick). As a result, this can be an effective visual to help reduce cognitive load
⚡A "fill level" where color is determined by price opening above or below the previous day's close
⚡A "use current close" setting that's great to use in pre-market as it shows you where price is in relation to the previous days' close
----------------------------------------------------------------------------------------------------------------------
🙏Thanks to (c)satymahajan for the inspiration behind the ATR "previous close" and "bias candle" code base
🙏Thanks to my mentor (c)SimpleCryptoLife for the libraries and extensive code to help create this indicator
ATR PivotsThe "ATR Pivots" script is a technical analysis tool designed to help traders identify key levels of support and resistance on a chart. The indicator uses various metrics such as the Average True Range (ATR), Daily True Range ( DTR ), Daily True Range Percentage (DTR%), Average Daily Range (ADR), Previous Day High ( PDH ), and Previous Day Low ( PDL ) to provide a comprehensive picture of the volatility and movement of a security. The script also includes an EMA cloud and 200 EMA for trend identification and a 1-minute ATR scalping strategy for traders to make informed trading decisions.
ATR Detail:-
The ATR is a measure of the volatility of a security over a given period of time. It is calculated by taking the average of the true range (the difference between the high and low of a security) over a set number of periods. The user can input the number of periods (ATR length) to be used for the ATR calculation. The script also allows the user to choose whether to use the current close or not for the calculation. The script calculates various levels of support and resistance based on the relationship between the security's range ( high-low ) and the ATR. The levels are calculated by multiplying the ATR by different Fibonacci ratios (0.236, 0.382, 0.5, 0.618, 0.786, 1.000) and then adding or subtracting the result from the previous close. The script plots these levels on the chart, with the -100 level being the most significant level. The user also has an option to choose whether to plot all Fibonacci levels or not.
DTR and DTR% Detail:-
The Daily True Range Percentage (DTR%) is a metric that measures the daily volatility of a security as a percentage of its previous close. It is calculated by dividing the Daily True Range ( DTR ) by the previous close. DTR is the range between the current period's high and low and gives a measure of the volatility of the security on a daily basis. DTR% can be used as an indicator of the percentage of movement of the security on a daily basis. In this script, DTR% is used in combination with other metrics such as the Average True Range (ATR) and Fibonacci ratios to calculate key levels of support and resistance for the security. The idea behind using DTR% is that it can help traders to better understand the daily volatility of the security and make more informed trading decisions.
For example, if a security has a DTR% of 2%, it suggests that the security has a relatively low level of volatility and is less likely to experience significant price movements on a daily basis. On the other hand, if a security has a DTR% of 10%, it suggests that the security has a relatively high level of volatility and is more likely to experience significant price movements on a daily basis.
ADR:-
The script then calculates the ADR (Average Daily Range) which is the average of the daily range of the security, using the formula (Period High - Period Low) / ATR Length. This gives a measure of the average volatility of the security on a daily basis, which can be useful for determining potential levels of support and resistance .
PDH /PDL:-
The script also calculates PDH (Previous Day High) and PDL (Previous Day Low) which are the High and low of the previous day of the security. This gives a measure of the previous day's volatility and movement, which can be useful for determining potential levels of support and resistance .
EMA Cloud and 200 EMA Detail:-
The EMA cloud is a technical analysis tool that helps traders identify the trend of the market by comparing two different exponential moving averages (EMAs) of different lengths. The cloud is created by plotting the fast EMA and the slow EMA on the chart and filling the space between them. The user can input the length of the fast and slow EMA , and the script will calculate and plot these EMAs on the chart. The space between the two EMAs is then filled with a color that represents the trend, with green indicating a bullish trend and red indicating a bearish trend . Additionally, the script also plots a 200 EMA , which is a commonly used long-term trend indicator. When the fast EMA is above the slow EMA and the 200 EMA , it is considered a bullish signal, indicating an uptrend. When the fast EMA is below the slow EMA and the 200 EMA , it is considered a bearish signal, indicating a downtrend. The EMA cloud and 200 EMA can be used together to help traders identify the overall trend of the market and make more informed trading decisions.
1 Minute ATR Scalping Strategy:-
The script also includes a 1-minute ATR scalping strategy that can be used by traders looking for quick profits in the market. The strategy involves using the ATR levels calculated by the script as well as the EMA cloud and 200 EMA to identify potential buy and sell opportunities. For example, if the 1-minute ATR is above 11 in NIFTY and the EMA cloud is bullish , the strategy suggests buying the security. Similarly, if the 1-minute ATR is above 30 in BANKNIFTY and the EMA cloud is bullish , the strategy suggests buying the security.
Inside Candle:-
The Inside Candle is a price action pattern that occurs when the current candle's high and low are entirely within the range of the previous candle's high and low. This pattern indicates indecision or consolidation in the market and can be a potential sign of a trend reversal. When used in the 15-minute chart, traders can look for Inside Candle patterns that occur at key levels of support or resistance. If the Inside Candle pattern occurs at a key level and the price subsequently breaks out of the range of the Inside Candle, it can be a signal to enter a trade in the direction of the breakout. Traders can also use the Inside Candle pattern to trade in a tight range, or to reduce their exposure to a current trend.
Risk Management:-
As with any trading strategy, it is important to practice proper risk management when using the ATR Pivots script and the 1-minute ATR scalping strategy. This may include setting stop-loss orders, using appropriate position sizing, and diversifying your portfolio. It is also important to note that past performance is not indicative of future results and that the script and strategy provided are for educational purposes only.
In conclusion, the "ATR Pivots" script is a powerful tool that can help traders identify key levels of support and resistance , as well as trend direction. The additional metrics such as DTR , DTR%, ADR, PDH , and PDL provide a more comprehensive picture of the volatility and movement of the security, making it easier for traders to make better trading decisions. The inclusion of the EMA cloud and 200 EMA for trend identification, and the 1-minute ATR scalping strategy for quick profits can further enhance a trader's decision-making process. However, it is important to practice proper risk management and understand that past performance is not indicative of future results.
Special thanks to satymahajan for the idea of clubbing Average True Range with Fibonacci levels.
thuyliemforever EMA Scalper - Buy/Sellthuyliemforever EMA Scalper - Buy/Sell
Indicator that help you make decision buy or sell.
Super Scalper - 5 Min 15 MinThis strategy is based on RSI and ATR Bands which works better in 5 and 15 Mins time frame. 
Perform enough back testing with 1:2R before using in real time.
Entry only on trade on screen symbols, use additional buy/sell alerts to book profit or to trail SL.
I have also added Golden Cross Over of 65 and 21 EMA to have confirmation on trend.
ITG ScalperITG Scalper by Complector.
Inspired by Juboal-Rabaroansa Perosteck Alseyn Balveda dam T'seif
Methology:
- I am using a TEMA (triple EMA) to determine the local trend direction and to give buy & sell signals when the trend changes.
- An optional filter, using moving average convergence divergence (MACD), can be switched on to filter out 'false' signals.
- The calculation of the TEMA does not request data from a resolution higher or lower than the resolution of the main charts symbol, 
  However, the filter function does, if another resolution is chosen for the filter.
- Persistent variables are used for buy and sell prices, enabling color-coding of the sell-signal (profitable or not).
Features:
- Color coded TEMA - bullish=green , bearish=red
- Buy/Sell indicator - Sell indicator: green=profit, yellow=loss
- Optional noise filter
- Optional variable time-frame for noise filter
Remarks:
In my experience, the default values works best on the daily time frame. I encourage everyone to experiment with the values for best results.
Using the script on non-standard charts (Heikin Ashi, Renko etc.) can produce unrealistic results.
Using a resolution higher or lower than the main charts symbol for the filter can possibly lead to repainting.
Thanks to Iain M. Banks for making my life richer :-)
[blackcat] L1 ALMA Trend ScalperLevel: 1
Background
The Arnaud Legoux Moving Average (ALMA) indicator was recently added to the family of moving averages. It was developed in 2009 by Arnaud Legous and Dimitrios Kouzis Loukas. Since then, this indicator has gained huge popularity among traders.
ALMA works like any moving average work. However, the calculation of the ALMA is more perfect compared to the moving average. This indicator has minimal lag which makes it a leading indicator in the market. While the SMA, MA, EMA and SMMA signal line is often delayed. The ALMA was designed to address the two critical disadvantages of traditional moving averages, responsiveness and smoothness.
Function
  L1 ALMA Trend Scalper is simple but powerful. This indicator makes full use of ALMA's rapid response advantage to provide buying and selling points by winding and crossing two short-term moving averages. A mid-term moving average can provide relatively effective support and pressure. Finally, the function of whale pump detection is simply realized through the characteristics of the moving average.
Key Signal
trendline --> mid term moving average for support and resistance
tradingline ---> basic element for fast line and slow line
fastline ---> fast line for short term
slowline --> slow line for short term
pumpstart ---> simple whale pump zone detection
Pros and Cons
Pros:
1. Simple but clear to see the trend reversals
2. Aux middle term moving average help just whether it is a true or fake breakout
Cons:
1. No advanced trading skill is incorporated
2. Need improvements on sideways.
Remarks
Just be simple but powerful
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.






















