Chart Formation DetectionThis script is designed to recognise a chart formation that is bullish. However, the script is optimised to default as using a very accurate formation.
This script works best on the 1-15 minute time frames. Anything higher is subject to macroeconomic events as apposed to high-frequency-trading algorithms which we are relying on in order for this script to work.
This seems to work very well on certain instruments as apposed to others(e.g. gold seems to work better than the US30). You will find what you like the best and develop your own uses for these indicators.
ค้นหาในสคริปต์สำหรับ "the script"
GMAE Original (By Kevin Manrrique)This script is called GMAE Original by me (Kevin Manrrique). I'm publishing this to the public because we are all traders and we need to support each other as a TVcommunity. This is something I built for fun. This script uses a series of EMA's. NO REPAINT, NO LAGGING! It works better for short-term trends as you can see. Please leave the copyright on the script at all times even if you rebuild it. If you need any help or have questions please inbox me privately. If you interested in joining up and building an indicator or strategy please inbox me as well. Thank you and I hope you enjoy this script as much as I do.
Remember there are no holy grails. The only holy grail there is are indicators built together to stop faulty signals and be as accurate as possible and this is one of them.
Sincerely,
Kevin Manrrique
ES cuhthis strategy uses laggard rsi to compute the best parameters to go long and tp at key levels. the overall trend strength within the rsi laggard indicator is what is used to automate the calculations within the script. enjoy and paramter optimize
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter
Overview:
This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals.
How It Works:
1. Signal Initiation (e.g., 5-Minute Timeframe):
Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30).
Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe.
2. Signal Confirmation (15-Minute Timeframe):
Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars).
Long Confirmation:
The 15-minute Stochastic RSI %K must be greater than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40).
Short Confirmation:
The 15-minute Stochastic RSI %K must be less than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60).
3. Filters:
ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold.
Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading.
4. Entry and Exit Logic:
Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met.
Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script.
Key User-Adjustable Parameters:
Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing.
Signal Trigger & Confirmation:
5-minute %K trigger levels for long and short.
15-minute %K confirmation thresholds for long and short.
Wait window (in 5-minute bars) for 15-minute confirmation.
Filters:
Enable/disable and configure the Signal Cooldown filter (minimum bars between signals).
Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks).
Strategy Parameters:
Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks).
Recommendations for Users:
Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade.
Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions.
Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals.
Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable.
Disclaimer:
This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
Anomaly Counter-Trend StrategyA mean-reversion style strategy that automatically spots unusually large price moves over a configurable lookback period and takes the opposite side, with full risk-management, commission and slippage modeling—built in Pine Script® v6.
🔎 Overview
ACTS monitors the percent-change over the past N minutes and, when that move exceeds your chosen threshold, enters a counter-trend position (short on a strong rise; long on a sharp fall). It’s ideal for markets that often “overshoot” and snap back, and can be applied on any symbol or timeframe.
⚙️ Key Features
Anomaly Detection: Detect abnormal price swings based on a user-defined % change over a lookback period.
Counter-Trend Entries: Auto-enter short on rise anomalies, long on fall anomalies (with seamless flat↔reverse transitions).
Risk Management: Configurable stop-loss and take-profit in ticks per trade.
Realistic Modeling: Simulates commissions (0.05 % default), slippage (2 ticks), and percent-of-equity sizing.
Immediate Bar-Close Execution: Orders processed on bar close for faster fills.
Visual Aids: Optional on-chart BUY/SELL triangles and background highlights during anomaly periods.
⚙️ Inputs
Input Default Description
Percentage Threshold (%) 2.00 Min % move over lookback to trigger an anomaly.
Lookback Period (Minutes) 15 Number of minutes over which to measure change.
Stop Loss (Ticks) 100 Distance from entry for stop-loss exit.
Take Profit (Ticks) 200 Distance from entry for take-profit exit.
Plot Trade Signal Shapes (on/off) true Show BUY/SELL triangles on chart.
Highlight Anomaly Background true Shade background during anomaly bars.
📊 How to Use
Add to Chart: Apply the script to any ticker & timeframe.
Tune: Adjust your percentage threshold and lookback to match each instrument’s volatility.
Review Backtest: Check built-in strategy performance (drawdown, Sharpe, etc.) under the Strategy Tester tab.
Go Live: Once optimized, link to alerts or your trade execution system.
⚠️ Disclaimer
This script is provided “as-is” for educational purposes and backtesting only. Past performance does not guarantee future results. Always backtest thoroughly, manage your own risk, and consider market conditions before live trading.
Enjoy experimenting—and may your counter-trend entries catch the next big snapback!
RSI + Stochastic + WMA StrategyThis script is designed for TradingView and serves as a trading strategy (not just a visual indicator). It's intended for backtesting, strategy optimization, or live trading signal generation using a combination of popular technical indicators.
📊 Indicators Used in the Strategy:
Indicator Description
RSI (Relative Strength Index) Measures momentum; identifies overbought (>70) or oversold (<30) conditions.
Stochastic Oscillator (%K & %D) Detects momentum reversal points via crossovers. Useful for timing entries.
WMA (Weighted Moving Average) Identifies the trend direction (used as a trend filter).
📈 Trading Logic / Strategy Rules:
📌 Long Entry Condition (Buy Signal):
All 3 conditions must be true:
RSI is Oversold → RSI < 30
Stochastic Crossover Upward → %K crosses above %D
Price is above WMA → Confirms uptrend direction
👉 Interpretation: Market was oversold, momentum is turning up, and price confirms uptrend — bullish entry.
📌 Short Entry Condition (Sell Signal):
All 3 conditions must be true:
RSI is Overbought → RSI > 70
Stochastic Crossover Downward → %K crosses below %D
Price is below WMA → Confirms downtrend direction
👉 Interpretation: Market is overbought, momentum is turning down, and price confirms downtrend — bearish entry.
🔄 Strategy Execution (Backtesting Logic):
The script uses:
pinescript
Copy
Edit
strategy.entry("LONG", strategy.long)
strategy.entry("SHORT", strategy.short)
These are Pine Script functions to place buy and sell orders automatically when the above conditions are met. This allows you to:
Backtest the strategy
Measure win/loss ratio, drawdown, and profitability
Optimize indicator settings using TradingView Strategy Tester
📊 Visual Aids (Charts):
Plots WMA Line: Orange line for trend direction
Overbought/Oversold Zones: Horizontal lines at 70 (red) and 30 (green) for RSI visualization
⚡ Strategy Type Summary:
Category Setting
Strategy Type Momentum Reversal + Trend Filter
Timeframe Flexible (Works best on 1H, 4H, Daily)
Trading Style Swing/Intraday
Risk Profile Medium to High (due to momentum triggers)
Uses Leverage Possible (adjust risk accordingly)
The Z-score The Z-score, also known as the standard score, is a statistical measurement that describes a value's relationship to the mean of a group of values. It's measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean.
The concept of Z-score was introduced by statistician Carl Friedrich Gauss as part of his "method of the least squares," which was an important step in the development of the normal distribution and Z-score tables. It's a key concept in statistics and is used in various statistical tests.
In financial analysis, Z-scores are used to determine whether a data point is usual or unusual. You can think of it as a measure of how many standard deviations an element is from the mean. For instance, a Z-score of 1.0 would denote a value that is one standard deviation from the mean. Z-scores are also used to predict probabilities, with Z-scores having a distribution that is expected to be normal.
In trading, a Z-score is used to determine how often a trading system may produce a string of winners or losers. It can help a trader to understand whether the losses or profits they see are something that the system would most likely produce, or if it's a once in a blue moon situation. This helps traders make decisions about when to start or stop a system.
I just wanted to play a bit with the Z-score I guess.
Feel free to share your findings if you discover additional applications for this strategy or identify timeframes where it appears to perform more optimally.
How it works:
This strategy is based on a statistical concept called Z-score, which measures the number of standard deviations a data point is from the mean. In other words, it helps determine how unusual or usual a data point is.
In the context of this strategy, Z-score is applied to a 10-period EMA (Exponential Moving Average) of Heikin-Ashi candlestick close prices. The Z-score is calculated over a look-back period of 25 bars.
The EMA of the Z-score is then calculated over a 20-bar period, and the upper and lower thresholds (bounds for buy and sell signals) are defined using the 90th and 10th percentiles of this EMA score.
Long positions are taken when the Z-score crosses above the lower threshold or crosses above the mid-line (50th percentile). An additional long entry is made when the Z-score crosses above the highest value the EMA has been in the past 100 periods.
Short positions are initiated when the EMA crosses below the upper threshold, lower threshold or the highest value the EMA has been in the past 100 periods.
Positions are closed when opposing entry conditions are met, for example, a long position is closed when the short entry condition is true, and vice versa.
Set your desired start date for the strategy. This can be modified in the timestamp("YYYY MM DD") function at the top of the script.
Wunder DCA BotThe bot is based on the DCA system.
1. DCA is the investment method in which you buy a certain portion of the asset after the determined price deviation.
2. For entry, we evaluate the maximum and minimum levels for a given period that you can adjust in the script. The bot enters when price rebound from the specified levels.
3. For the exit, the bot will use the take profit percentage that you will specify in settings.
It is also possible to choose how the take profit is calculated either from the average entry price or from the entry order (first order).
4. DCA uses the following settings:
- Base order Volume: Volume of your first order on entry signal
- Subsequent orders volume: The volume of all subsequent orders except the first
- DCA orders count: This parameter will determine how many entries your overall strategy will have. For example: If you will put 3, that will mean that including your initial position you will have 2 additional orders.
- DCA order price deviation:
This is the value in % which determines the deviation of the additional entries from the entry price. Example: If you go long and the price of the asset is 100$ and you put an order price deviation of 1% that will mean that the first additional entry will occur when the price will drop by 1%, and the second entry will be triggered when the overall price will drop by 2% (as the interval between the first and the second additional entry will be 1%).
- DCA Order Volume Multiplier:
This parameter will determine the amount that you put into each additional position. If this parameter is equal to 1 that means that each additional entry will be equal to the initial amount. The extra volume will be added to your position from the second DCA entry. Example: Your initial position was 10$ and your Volume Multiplier is set to 2. When you reach your 1st DCA target your additional order will have the same volume of 10$. When you reach your 2nd DCA target your additional order will be 20$ (previous position volume * multiplier). Your 3rd DCA target will place the order of 40$.
- DCA order price Deviation Multiplier:
This value will increase the price deviation between each additional entry. It is calculated as the price deviation multiplied by the deviation multiplier. For example: if you enter long at the price 100$ and have a price deviation of 1% with the price deviation multiplier of 2 that will mean that the first additional entry will occur when the price will drop to 99$ however the second will occur when the price will go to 97$. The third additional position will be entered at 94$
5. For full automation of the bot, you should set your comments to the input in the bot settings in the "LONG" and "SHORT" fields. You also need to create an alert signal and set a Webhook to send signals.
IMPORTANT!!!
1. Position calculation should take into account several factors: your deposit, leverage, the number of DCA orders, the distance to the last DCA order;
2. When choosing leverage, it is important to correctly calculate the possible drawdown. If you set a high leverage value, then liquidation awaits and the bot will not be able to take profits and will exit the position ahead of time;
3. The size of the position must be determined in accordance with all risks and take into account the size of your deposit;
4. This DCA Bot is able to earn consistently with the correct calculated money management.
Volatility Stop Strategy (by Coinrule)Traders often use the volatility stop to protect trades dynamically, adjusting the stop price gradually based on the asset's volatility.
Just like the volatility stop is a great way to capture trend reversals on the downside, the opposite applies as well. Therefore, another useful application of the volatility stop is to add it to a trading system to signal potential trend reversals to catch a good buy opportunity.
ENTRY
- When the price crosses above the Volatility Stop
EXIT
- When the price crosses below the Volatility Stop
For this strategy, the Volatility stop's multiplier is set to 3 to allow more flexibility to the trade. The strategy is designed for medium-term trades.
Based on the backtest result from a sample of crypto trading pairs, the most profitable time frame is the 2-hr.
The strategy works well with both crypto-to-crypto and crypto-to-fiat pairs. To make results more realistic, a trading fee of 0.1% is added to the script. The fee is aligned to the base fee applied on Binance.
Bagheri IG Ether v2In this version, the winning ratio has been decreased, but the Risk to Reward Ratio (RRR) has been set to be better than the previous version.
This is a technical trading strategy for Ethereum ( BINANCE:ETHUSDT ). We built and developed it on MetaEditor and optimized it with MetaTrader optimizer.
The main indicators are Donchian Channel, Oscillator of ROC , Bears Power, Balance of Power , and Simple Moving Average ( SMA ). Default values in the input panel are the best combination of these indicators, but you can change any of them and try it for better results.
Please notice that this strategy has been optimized on the 1-minute chart of Ethereum .
For each position, you can see the Take Profit (TP) and Stop Loss (SL) levels. Also, you can find the values of mentioned TP and SL in points from the input panel of the script.
Attention: The price of Ethereum has 2 decimal places.
Therefore, 3000 points for TP means 30 USDT for trading 1 BINANCE:ETHUSDT .
Bagheri IG EtherThis is a technical trading strategy for Ethereum ( BINANCE:ETHUSDT ). We built and developed it on MetaEditor and optimized it with MetaTrader optimizer.
The main indicators are Donchian Channel, Oscillator of ROC, Bears Power, Balance of Power, and Simple Moving Average (SMA). Default values in the input panel are the best combination of these indicators, but you can change any of them and try it for better results.
Please notice that this strategy has been optimized on the 1-minute chart of Ethereum.
For each position, you can see the Take Profit (TP) and Stop Loss (SL) levels. Also, you can find the values of mentioned TP and SL in points from the input panel of the script.
Attention: The price of Ethereum has 2 decimal places.
Therefore, 3000 points for TP means 30 USDT for trading 1 BINANCE:ETHUSDT .
SNAP BACK 2.0 Strategy
This strategy is designed to allow you to catch the bounce or "SNAP Back" of an equity that has been in a trend.
1) Once the moving averages are in the order of 200SMA > 50 SMA > 34EMA > 20SMA > 8EMA (or reverse for and uptrend), the strategy is setup.
2) Next you wait for a trigger of the closing price crossing the 8EMA, while there is a desired gap size between the 8EMA and the 20SMA (2-10% of stock value preferred).
3) Exit position based on target profit reached (conservative sell half at 34EMA and engage a trailing stop loss for remainder or set static limit) or price crosses 8EMA or stop loss%
*)This code also allows you to determine your desired backtesting date compliments of alanaster
This code is the product of many hours of hard work on the part of the greater tradingview community. The credit goes to everyone in the community who has put code out there for the greater good.
The idea for the coding came from a video I watched on YouTube presented by TradeStation called Snap Back - thank you guys for the inspiration.
UPDATE: I have coded the other side of the strategy to allow you to take advantage of the same set-up in an uptrend for Short plays. You can turn the up or downsides on, off, or both.
The main intent is to catch the bounces of a falling stock. However, I have found that you can do the inverse and catch the drops in a rising stock (the latter is not as reliable). This also tends to work better on less volatile stocks. I have included a large volume of user defined conditions and display entry and exit conditions on the chart to see how your choices are impacting the script.
RSI of Ultimate Oscillator [SHORT Selling] StrategyThis is SHORT selling strategy with Ultimate Oscillator. Instead of drectly using the UO oscillator , I have used RSI on UO (as I did in my previous strategies )
Ultimator Oscillator settings are 5, 10 and 15
RSI of UO setting is 5
Short Sell
==========
I have used moving averages from WilliamAlligator indicator --- settings are 10(Lips), 20(teeth) and 50 (Jaw)
when Lips , Teeth and Jaw are aligned to downtrend (that means Lips < Teeth < Jaw )
Look for RSIofUO dropping below 60 ( setting parameter is Sell Line )
Partial Exit
==========
When RSIofUO crossing up Oversold line i.e 30
Cover Short / Exit
=================
When RSIofUO crosisng above overbought line i.e 70
StopLoss
========
StopLoss defaulted to 3 % , Though it is mentioned in settings , it has not been not used to calcuate and StopLoss Exit... Reason is, when RSIofUO already crossed 60 line (for SHORTING) , then it would take more efforts go up beynd 60. There is saying price takes stairs to climb up but it takes elevator to go down. I have not purely depend on this to exit stop loss, however noticed the trades in this stratgey did not get out with loss higher than when RSIofUO reaching 70 level.
Note
======
Williams Alligator is not drawn from the script. It is manually added to chart for illustration purpose. Please add it when you are using this strategy , whch woould give an idea how the strategy is taking Short Trades.
This is tested on Hourly chart for SPY
Bar color changes to purple when the strategy is in SHORT trade
Warning
========
For the eductional purposes only
XProfit Strategy BacktesterHello,
This Script is a Backtesting Strategy tester of XProfit and allows users to clearly define a profitable strategy.
To Define a profitable strategy, there is the option to modify the parameters "XR" and "Sensitivity".
The Script in itself is build on ATR which gives Long or Short signal.
Note: The strategy script does not allow alerts. It does only allow backtesting.
How To Get Access: DM me for a Trial or use the links below this post to purchase the Indicator which will automatically come with XProfit
Happy Trading.
sma dipsparity and sdvFXBTCJPY 1min contrarian script (2020/1/30)
1分足の逆張りです．
If you want to use other timescale, need to change disparity rate and sdv.
To display disparity(sma) and standard deviation, and to draw a hline(pine function) a certain valu. And lets think. I thought disparity rate 1~1.3 or -1~-1.3 are able to use constrarian trade (and sdv>600).
In bottom, disparity index is auxiliary. It is different from the multiple in the script to make the value easier to understand.
Sorry if the expiration date of the script has expired.
MoneyBible QTUMUSDT BacktesterMoneybible BINANCE:QTUMUSDT backtester on 15m candlestick . It will be re-optimized monthly.
The script is written in PineScript V.3, makes no use of the security() function and does not use the Trailing Stop-Loss function from TradingView. No repainting issue.
DM me for joining discord and getting a trial.
Alert script here :
MoneyBible ETHUSD BacktesterMoneybible BITMEX:ETHUSD backtester on 15m candlestick . It will be re-optimized monthly.
The script is written in PineScript V.3, makes no use of the security() function and does not use the Trailing Stop-Loss function from TradingView. No repainting issue.
Alert script here :
MoneyBible XBTUSD BacktesterMoneybible BITMEX:XBTUSD backtester on 10m candlestick . It will be re-optimized monthly.
The script is written in PineScript V.3, makes no use of the security() function and does not use the Trailing Stop-Loss function from TradingView. No repainting issue.
Alert script here :
[M10] Ichimoku Keltner Channel Scalper [Backtest]Hey all,
This script combines a couple of popular indicators to create a reliable yet versatile opportunity to automate trades based on the Ichimoku Cloud. The idea is to use bullish/bearish Ichimoku crossovers to enter positions whilst taking advantage of a modified Keltner Channel to exit these positions at maximum profit.
The script has been backtested on various timeframes and proves effective in both trending and ranging markets.
I have also added the ability to limit your positions to only long, or short, if this is of preference.
An alerts version of this script is also available at no cost on my page - enjoy!
Any questions? Let me know!
FREE BACKTEST STRATEGY BTC/USDT 15m Binance LONGA long only strategy for trading BINANCE:BTCUSDT in a 15m timeframe built upon Donchian Channels.
The script is already configured for this market /timeframe.
I built it using my generic version that you can request access by leaving a comment:
To get access to the alert setup version and automate the strategy, you need to purchase a subscription on my website .
Thanks for the feedback/support !
RSI Alligator StrategyHello trading family! Just wanted to give a quick write up and share the new code for the RSI Alligator Strategy. I amended it to show every crossover signal, weak and strong, so we can accurately gauge its effectiveness.
Having played with this for a couple hours now I have learned a few things
-Using Heikin Ashi seems to smooth it out a bit and provides about 20% fewer signals, leading to overall more accuracy. However, it can be misleading as the Heikin Ashi opening price doesn't always line up with the market price, especially in cases of large moves. Overall though it didn't seem too far off except for a few instances.
-Also, using the Heikin Ashi gives you a better idea of the trend, which this indicator is primarily used to detect and exploit.
-Having tested on TF of 1H-1D, overall profitability is found to be highest between 4H-12H, with 1D giving the "safest" longer term signals, and lower TF's generating many more signals due to volatility.
-Instead of waiting for the next signal in order to close, you can often use a crossover/crossunder of the 5 and 13 to close the previous trade, especially if paired with a Heikin Ashi of opposite color (green to close a short, red to close a long)
-You will also notice several instances where the Green 5 period show divergences that aren't visible on the regular RSI, another handy little feature
So far I have still only tested this on BTCUSD. Feel free to apply it to any coin and let me know what you find.
Here is the script. If you have any ideas or suggestions please let me know!
CryptoWise4hETHstrategyCrypto Wise 4h ETH Trading Script with Alerts
ETH is very volatile, and that's what makes this script great: Being able to catch the next Move Up or Down.
No repainting.
Better to be used on a 4hr Chart.
No indicator is perfect, but when it gets integrated into a great strategy, and used together with other indicators like the Stoch RSI , you can easily make great trades.
You can get access to the script for $20 / month. Payments accepted in BTC, ETH, LTC, BCH.
72hr Trial given upon request.
Crypto Reversal Scalper DEMO / FREE BacktesterCrypto Reversal Scalper Lite
This is a lite version of:
This script allows anyone to try out the capability of the script with restrictions to some features. If you want to unlock all the features, consider upgrading.
Full version also includes alerts for automated trading.
