PFE (Polarized Fractal Efficiency) Strategy The Polarized Fractal Efficiency (PFE) indicator measures the efficiency 
 of price movements by drawing on concepts from fractal geometry and chaos 
 theory. The more linear and efficient the price movement, the shorter the 
 distance the prices must travel between two points and thus the more efficient 
 the price movement.
 WARNING:
 - This script to change bars colors.
Strategy
Percentage Volume Oscillator (PVO) Backtest The Percentage Volume Oscillator (PVO) is a momentum oscillator for volume. 
 PVO measures the difference between two volume-based moving averages as a 
 percentage of the larger moving average. As with MACD and the Percentage Price 
 Oscillator (PPO), it is shown with a signal line, a histogram and a centerline. 
 PVO is positive when the shorter volume EMA is above the longer volume EMA and 
 negative when the shorter volume EMA is below. This indicator can be used to define 
 the ups and downs for volume, which can then be use to confirm or refute other signals. 
 Typically, a breakout or support break is validated when PVO is rising or positive. 
 You can change long to short in the Input Settings
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Percentage Volume Oscillator (PVO) Strategy The Percentage Volume Oscillator (PVO) is a momentum oscillator for volume. 
 PVO measures the difference between two volume-based moving averages as a 
 percentage of the larger moving average. As with MACD and the Percentage Price 
 Oscillator (PPO), it is shown with a signal line, a histogram and a centerline. 
 PVO is positive when the shorter volume EMA is above the longer volume EMA and 
 negative when the shorter volume EMA is below. This indicator can be used to define 
 the ups and downs for volume, which can then be use to confirm or refute other signals. 
 Typically, a breakout or support break is validated when PVO is rising or positive. 
 WARNING:
  This script to change bars colors.
Overbought/Oversold Simple Overbought/Oversold indicator
 You can change long to short in the Input Settings
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Overbought/Oversold Simple Overbought/Oversold indicator
 WARNING:
  This script to change bars colors.
MovROC (KST indicator) Backtes This indicator really is the KST indicator presented by Martin Pring. 
 the KST indicator is a weighted summed rate of change oscillator that 
 is designed to identify meaningful turns. Various smoothed rate of change 
 indicators can be combined to form different measurements of cycles.
 You can change long to short in the Input Settings
 WARNING:
  - For purpose educate only
  - This script to change bars colors.
MovROC (KST indicator) This indicator really is the KST indicator presented by Martin Pring. 
 the KST indicator is a weighted summed rate of change oscillator that 
 is designed to identify meaningful turns. Various smoothed rate of change 
 indicators can be combined to form different measurements of cycles.
 WARNING:
  This script to change bars colors.
Money Flow Indicator (Chaikin Oscillator)    Indicator plots Money Flow Indicator (Chaikin). This indicator looks 
    to improve on Larry William's Accumulation Distribution formula that 
    compared the closing price with the opening price. In the early 1970's, 
    opening prices for stocks stopped being transmitted by the exchanges. 
    This made it difficult to calculate Williams' formula. The Chaikin 
    Oscillator uses the average price of the bar calculated as follows 
    (High + Low) /2 instead of the Open.
    The indicator subtracts a 10 period exponential moving average of the 
    AccumDist function from a 3 period exponential moving average of the 
    AccumDist function.    
 You can change long to short in the Input Settings
 WARNING:
  - For purpose educate only
  - This script to change bars colors.
Aggressive Pullback IndicatorThis indicator is designed to be used with the rules of Steven Hart's Aggressive Pullback Strategy. It is intended for use on the 4-hour timeframe of certain currency pairs, but will work on all timeframes and instruments. The rules are customizable, but the default settings are designed to reflect the rules of Steven's pullback strategy as closely as possible.
 To enable alerts:  Add the indicator to the chart and create a new alert with the settings Condition: API , Frequency: Once Per Bar (on Close).
Feel free to message me if you have any questions :)
 - Matt.
MASS Index Backtest The Mass Index was designed to identify trend reversals by measuring 
 the narrowing and widening of the range between the high and low prices. 
 As this range widens, the Mass Index increases; as the range narrows 
 the Mass Index decreases.
 The Mass Index was developed by Donald Dorsey. 
 You can change long to short in the Input Settings
 WARNING:
   - For purpose educate only
   - This script to change bars colors.
MASS Index Strategy The Mass Index was designed to identify trend reversals by measuring 
 the narrowing and widening of the range between the high and low prices. 
 As this range widens, the Mass Index increases; as the range narrows 
 the Mass Index decreases.
 The Mass Index was developed by Donald Dorsey. 
 WARNING:
  This script to change bars colors.
MACD Crossover Backtest MACD – Moving Average Convergence Divergence. The MACD is calculated 
 by subtracting a 26-day moving average of a security's price from a 
 12-day moving average of its price. The result is an indicator that 
 oscillates above and below zero. When the MACD is above zero, it means 
 the 12-day moving average is higher than the 26-day moving average. 
 This is bullish as it shows that current expectations (i.e., the 12-day 
 moving average) are more bullish than previous expectations (i.e., the 
 26-day average). This implies a bullish, or upward, shift in the supply/demand 
 lines. When the MACD falls below zero, it means that the 12-day moving average 
 is less than the 26-day moving average, implying a bearish shift in the 
 supply/demand lines.
 A 9-day moving average of the MACD (not of the security's price) is usually 
 plotted on top of the MACD indicator. This line is referred to as the "signal" 
 line. The signal line anticipates the convergence of the two moving averages 
 (i.e., the movement of the MACD toward the zero line).
 Let's consider the rational behind this technique. The MACD is the difference 
 between two moving averages of price. When the shorter-term moving average rises 
 above the longer-term moving average (i.e., the MACD rises above zero), it means 
 that investor expectations are becoming more bullish (i.e., there has been an 
 upward shift in the supply/demand lines). By plotting a 9-day moving average of 
 the MACD, we can see the changing of expectations (i.e., the shifting of the 
 supply/demand lines) as they occur.
  You can change long to short in the Input Settings
  WARNING:
  - For purpose educate only
  - This script to change bars colors.
Laguerre-based RSI Backtest This is RSI indicator which is more sesitive to price changes. 
 It is based upon a modern math tool - Laguerre transform filter.
 With help of Laguerre filter one becomes able to create superior 
 indicators using very short data lengths as well. The use of shorter 
 data lengths means you can make the indicators more responsive to 
 changes in the price.
 You can change long to short in the Input Settings 
 WARNING:
  - For purpose educate only
  - This script to change bars colors.
Laguerre-based RSI Strategy This is RSI indicator which is more sesitive to price changes. 
 It is based upon a modern math tool - Laguerre transform filter.
 With help of Laguerre filter one becomes able to create superior 
 indicators using very short data lengths as well. The use of shorter 
 data lengths means you can make the indicators more responsive to 
 changes in the price.
 WARNING:
 This script to change bars colors.
Klinger Volume Oscillator (KVO) Backtest The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning 
 from prior research on volume by such well-known technicians as Joseph Granville, 
 Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based 
 indicator to help in both short- and long-term analysis.
 The KO was developed with two seemingly opposite goals in mind: to be sensitive 
 enough to signal short-term tops and bottoms, yet accurate enough to reflect the 
 long-term flow of money into and out of a security.
 The KO is based on the following tenets:
 Price range (i.e. High - Low) is a measure of movement and volume is the force behind 
 the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when 
 today's sum is greater than the previous day's. Conversely, distribution occurs when 
 today's sum is less than the previous day's. When the sums are equal, the existing trend 
 is maintained.
 Volume produces continuous intra-day changes in price reflecting buying and selling pressure. 
 The KO quantifies the difference between the number of shares being accumulated and distributed 
 each day as "volume force". A strong, rising volume force should accompany an uptrend and then 
 gradually contract over time during the latter stages of the uptrend and the early stages of 
 the following downtrend. This should be followed by a rising volume force reflecting some 
 accumulation before a bottom develops.
 You can change long to short in the Input Settings
 Please, use it only for learning or paper trading. 
Kaufman Moving Average Adaptive (KAMA) Backtest Everyone wants a short-term, fast trading trend that works without large
 losses. That combination does not exist. But it is possible to have fast
 trading trends in which one must get in or out of the market quickly, but
 these have the distinct disadvantage of being whipsawed by market noise
 when the market is volatile in a sideways trending market. During these
 periods, the trader is jumping in and out of positions with no profit-making
 trend in sight. In an attempt to overcome the problem of noise and still be
 able to get closer to the actual change of the trend, Kaufman developed an
 indicator that adapts to market movement. This indicator, an adaptive moving
 average (AMA), moves very slowly when markets are moving sideways but moves
 swiftly when the markets also move swiftly, change directions or break out of
 a trading range.
 You can change long to short in the Input Settings
 Please, use it only for learning or paper trading. Do not for real trading.
Kaufman Moving Average Adaptive (KAMA) StrategyEveryone wants a short-term, fast trading trend that works without large
 losses. That combination does not exist. But it is possible to have fast
 trading trends in which one must get in or out of the market quickly, but
 these have the distinct disadvantage of being whipsawed by market noise
 when the market is volatile in a sideways trending market. During these
 periods, the trader is jumping in and out of positions with no profit-making
 trend in sight. In an attempt to overcome the problem of noise and still be
 able to get closer to the actual change of the trend, Kaufman developed an
 indicator that adapts to market movement. This indicator, an adaptive moving
 average (AMA), moves very slowly when markets are moving sideways but moves
 swiftly when the markets also move swiftly, change directions or break out of
 a trading range.
Volatility Finite Volume Elements Strategy The FVE is a pure volume indicator. Unlike most of the other indicators 
 (except OBV), price change doesn?t come into the equation for the FVE 
 (price is not multiplied by volume), but is only used to determine whether 
 money is flowing in or out of the stock. This is contrary to the current trend 
 in the design of modern money flow indicators. The author decided against a 
 price-volume indicator for the following reasons:
 - A pure volume indicator has more power to contradict.
 - The number of buyers or sellers (which is assessed by volume) will be the same, 
 regardless of the price fluctuation.
 - Price-volume indicators tend to spike excessively at breakouts or breakdowns.
 This study is an addition to FVE indicator. Indicator plots different-coloured volume 
 bars depending on volatility.
 You can change long to short in the Input Settings
 Please, use it only for learning or paper trading. Do not 
Volatility Finite Volume Elements Strategy The FVE is a pure volume indicator. Unlike most of the other indicators 
 (except OBV), price change doesn?t come into the equation for the FVE 
 (price is not multiplied by volume), but is only used to determine whether 
 money is flowing in or out of the stock. This is contrary to the current trend 
 in the design of modern money flow indicators. The author decided against a 
 price-volume indicator for the following reasons:
 - A pure volume indicator has more power to contradict.
 - The number of buyers or sellers (which is assessed by volume) will be the same, 
 regardless of the price fluctuation.
 - Price-volume indicators tend to spike excessively at breakouts or breakdowns.
 This study is an addition to FVE indicator. Indicator plots different-coloured volume 
 bars depending on volatility.
Volatility Finite Volume Elements Backtest This version has an important enhancement to the previous one that`s 
 especially useful with intraday minute charts.
 Due to the volatility had not been taken into account to avoid the extra 
 complication in the formula, the previous formula has some drawbacks:
 The main drawback is that the constant cutoff coefficient will overestimate 
 price changes in minute charts and underestimate corresponding changes in 
 weekly or monthly charts.
 And now the indicator uses adaptive cutoff coefficient which will adjust to 
 all time frames automatically.
 You can change long to short in the Input Settings
 Please, use it only for learning or paper trading. Do not for real trading.
Volatility Finite Volume Elements Strategy This version has an important enhancement to the previous one that`s 
 especially useful with intraday minute charts.
 Due to the volatility had not been taken into account to avoid the extra 
 complication in the formula, the previous formula has some drawbacks:
 The main drawback is that the constant cutoff coefficient will overestimate 
 price changes in minute charts and underestimate corresponding changes in 
 weekly or monthly charts.
 And now the indicator uses adaptive cutoff coefficient which will adjust to 
 all time frames automatically.
 WARNING:
 This script to change bars colors.
How to automate this strategy for free... Version 2Hello fellow traders and automation lovers.
It has been about 2 years since we originally created Autoview to connect your exchanges/brokers with your TradingView alerts. We've since added multiple exchanges, parameters and have built a large community filled with awesome, passionate traders.
One of the first strategies we built was sadly not a viable one for trading due to it using built-in variables that resulted in the backtest results being inaccurate in comparison to placing live trades. Luckily, we did not encounter repainting until a few strategies in, however, there was a point where we published a few of them as well. We will be going through all of our scripts again to not only eliminate any repainting and update to version 3, but to also include all the code snippets that we've learned to use over the years that allow for accurate backtesting and live trading.
The first script we are redoing is our  How to automate this strategy for free using a chrome extension. . 
Easter egg: This includes a new snippet of code that makes controlling how many orders you pyramid within a study fast and easy.
We look forward to bringing all of our scripts and delving deep into Pine again :)
Happy Trading
 Autoview 
3 Duck's Trading System from Babypips.comThe 3 Duck's Trading System from Babypips.com 
The 3 Duck's Trading System is the most popular and active trading system thread on the the babypips.com forum. It is a system that is mainly for beginners because it teaches you discipline, learning to cope with price moving against your position and learning to stay in a trade and keep profits running. For the thread and more info on the  3 Duck's Trading System click here 
 How does it work? 
The system is a very simple enter/exit based on the 60 SMA of 3 different time frames: 4 hour, 1 hour and 5 minute.
 The Rules,  er, the Ducks! The Ducks must all be in a row for a trade to take place! 
 
 Duck 1 - To go long, price must be above the 60 SMA on the 4 hour chart.
 Duck 2 - To go long, price must be above the 60 SMA on the 1 hour chart.
 Duck 3 - To go long, price must cross above the 60 SMA on the 5 minute chart  and  the 60 SMA of the 5 minute chart must be below that of the 4 hour and 1 hour chart. (obviously the reverse for shorting)
 
 YOU MUST USE THIS  SYSTEM ONLY ON THE 5 MINUTE CHART. 
I say this because I have already charted all of the Ducks into the 5 minute chart so you don't have to flip back and forth. 
I have also added some inputs for profit targets, stop targets, trailing stops and times to trade for backtesting. 
If you have any questions or comments, please let me know! If you see I messed up on something, please let me know!
 Also a VERY special thanks to the babypips.com user Captain_Currency . He wrote this strategy 10 years ago (2007 was 10 years ago?!) and he is still active on the thread and posting results and offering help!






















