CCI Scalping Strategy---From the "Bitcoin Trading Strategies" book, by David Hanson---
After testing, works better with an ATR stop instead of the Strategy Stop. This parameter
can be changed from the strategy Inputs panel.
"CCI Scalping Strategy
Recommended Timeframe: 5 minutes
Indicators: 20 Period CCI, 20 WMA
Long when: Price closes above 20 WMA and CCI is below -100, enter when CCI crosses above -100.
Stop: Above 20 WMA"
Centered Oscillators
Chaikin Money Flow + MACD + ATRHere I present you on of Trade Pro's Trading Idea: Chaikin Money Flow + MACD + ATR.
This strategy is not as profitable as it can be seen in one of his videos. In the forex market, the strategy could reach a maximum of 35% profitability.
I have, as some of my followers have requested, created an overview of the current position, risk and leverage settings in the form of a table.
Furthermore, one can again swap between short and long positions.
It is now possible to select or deselect individual indicators.
I have chosen the ATR alone as a take profit stop loss, as in his strategy.
A position is only triggered as soon as all prerequisites have been fulfilled and a command is executed. This prevents false triggering by bots and repainting.
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How does the strategy work?
ENTRY
Long
The MACD indicator must be above the zero line.
Then the K line must cross the D line.
Finally, when this happens, the Money Flow Index must be above the zero line.
Short
Contrary to the premise of long positions.
EXIT
ATR Exit
The value of ATR at the time of buying is multiplied by the value entered in "Profit factor ATR" and "Stop factor ATR". As soon as the price reaches this value, it is closed.
Important
The script must be optimized for each coin or currency pair.
I will publish a guide to the strategy shortly. There I will explain how the table works and how to set the strategy correctly.
The results of the strategy are without commissions and leverage.
If you have any questions or feedback, please let me know in the comments.
255 EMA Strategy//--- From 15 Trading Examples by Trader Alyx ---
// Seems like this strategy works better if we reverse the EMA filter logic.
// "Description: This basic scalping strategy allows you to enter the market based upon sentiment
// provided by the EMA, set at 255 periods. When price is trading below the 255 EMA, you would
// look to enter a LONG BUY positions, and when price is trading above the 255 EMA, you would
// look to enter a SELL SHORT position. The MACD lagging indicator will show you clear signals for
// when to do this. When the MACD lines cross in a bullish manner and price is below the 255
// EMA, buy. When the MACD lines cross in a bearish manner and price is above the 255 EMA,
// sell.
// NOTE: Make sure that price is trading away from the 255EMA before entering a LONG or SHORT
// position. As you can see in the chart below, the clearest signs for trade entry were presented
// when price was trading AWAY from the 255EMA"
CCI & EMA strategy by TradeswithashishThis strategy is extremely useful for positional traders or traders using timeframe 15-minute of higher. It uses following combo of values:
VWAP, CCI, Volume and Moving average (simple and exponential)
Caution:
Avoid taking trade if candle size is greater than twice the average candle size. for that wait for the retracement to near trailing stoploss
Dynamic Price SwingFinally, a price channel oscillator that works.
I programmed three flavors into this.
The first flavor uses the Fast and Slow EMA to check for the trend to ensure you don't trade in the wrong direction simply because the price crosses the previous highest high or lowest low (based on lookback bars).
The second flavor uses a seven point average of the Fibonacci bands to create an upper and lower central channel for quick trades (like DOGE).
The third flavor uses the golden Fibonacci ratio of 1.618 and trades when the price moves above or below this band.
Momentum Strategy IdeaThis strategy idea uses two, fast and slow, momentum indicators for trade setups and exits. This is a fast reacting strategy which is very useful in trending instruments on 1D and 4H timeframes. This is the implementation used in QuantCT app.
You can set operation mode to be Long/Short or long-only.
You also can set a fixed stop-loss or ignore it so that the strategy act solely based on entry and exit signals.
Trade Idea
When both momentum indicators are positive, asset is considered rising ( bullish ) and the plotted indicator becomes green.
When both momentum indicators are negative, asset is considered falling ( bearish ) and the plotted indicator becomes red.
Otherwise, asset is considered ranging and the plotted indicator becomes orange.
Entry/Exit rules
Enter LONG if both momentum indicators are greater than zero (i.e. when the plotted indicator becomes green).
Enter SHORT if both momentum indicators are lower than zero (i.e. when the plotted indicator becomes red).
EXIT market if none of the above (i.e. when the plotted indicator becomes orange).
CAUTION
It's just a bare trading idea - a profitable one. However, you can enhance this idea and turn it into a full trading strategy with enhanced risk/money management and optimizing it, and you ABSOLUTELY should do this!
DON'T insist on using Long/Short mode on all instruments! This strategy performs much better in Long-Only mode on many (NOT All) trending instruments (Like BTC , ETH, etc.).
Know Sure Thing and EMA Strategy by JLXThis is a simple strategy based in Know Sure Thing indicator and an Exponential moving average,
Rules are as follow:
- You can go long when the KST cross signal bellow 0 and price closes above the target EMA
- You can go short when the KST cross signal above 0 and price closes bellow the target EMA
I include a trailing stop loss, default its 0.5%
Hope you enjoy it
Coin Flipper Pro with strategy testerConverted the script "Coin Flipper Pro" into a Strategy. The same random "Coin Flip" trading fun with new features. Now users can run back test on the random trades and see how adjusting the risk to reward ratio affects the over all win rate and the profit of each trade. The Back test can be enabled or disabled in the settings along with the option to choose specific dates to run the test. Enjoy!
MACD EMA - TradingRush StrategyHey there!
Today I present you a rather simple, but very profitable MACD strategy. Since I trade it with cryptocurrencies, the settings have been adjusted.
I discovered the strategy on a YouTube channel and tried to transfer it as a strategy into a script.
Tested with the crypto pair ETH/USDT in the 15 minute chart.
There is the possibility to switch between short and long positions.
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How does the strategy work?
ENTRY
The MACD indicator must cross below the histogram. If it crosses when the price is below the EMA, only short positions are traded. Above the EMA - long.
EXIT
The Lowest Low (long) / highest high (short) serves as the stop loss. The TP is formed on the basis of a factor. (SL multiplied by factor 2.1 = TP).
The red lines are used to illustrate the SL. Above for short positions below for long positions.
The results of the strategy are without commissions and levers.
If you have any questions or feedback, please let me know in the comments.
If you need more information about the strategy and want to know exactly how to apply it, check out my profile.
I wish you good luck with the strategy!
All in One Strategy no RSI Label - For higher dollar cryptoThis is the All in One Strategy without the RSI suggestion label that will work well for any of the crypto currencies trading above $500 so the overlay shows up better. I am using ETH as an example on this.
Based on some comments on my previously published script that has been replaced I have added Alert Conditions to this version that can be used in other bots. You can also copy and paste these alert conditions into the other All in One script I published for the lower priced cryptocurrencies.
To use the alert conditions I have in here, you will need to convert this strategy into a study to do so. Delete the entry and exit logic at the end (lines 299 through 351), delete line 18 and paste the following in place of line 18:
study(shorttitle='Ain1 No Label',title='All in One Strategy no RSI Label', overlay=true, scale=scale.left)
Here are the settings to mimic what you see here in the back test strategy I am publishing. Remember that previous results do not guarantee future results.
Chart Time = 30 Minutes (if you didn't read my original All in One post, read it. Shorter isn't better. You lose your money faster in a shorter amount of time and I learned that the hard way)
Start Time = 1 April 2021 00:00
End Time = 31 December 2021 00:00
Trade Type = Long/Short
Stop Loss % = 20.1
Take Profit % = 14.57
RSI Length = 20
Overbought = 44
Oversold = 45
EMA Fast Length = 5
EMA Slow Length = 15
Overbought Lookback Minimum Value = 62
Overbought Lookback Bars = 3
Oversold Minimum Value = 43
Oversold Lookback Bars = 5
Source = Close
Max Lookback Period = 5
Use EMA Only = True (check the box)
K = 9
D = 17
K Mode = SMA
High Source = ohlc4
Low Source = ohlc4
Properties - Starting Amount is $3500, everything else is the same.
Any questions, feel free to ask. I will answer as soon as I can.
Technicals Rating Strategy v420Ichimoku, HMA, RSI, Stoch, CCI, MACD, Technicals Rating Strategy is a trading Bot that looks at these chosen indicators and assigns a value to each, then calculates the result of adding each indicators result value to a overall rating, which is then compared to a user set level. Here seen on Bitcoin, it has the broker fee included in the testing result. If you choose to use it on Forex etc, perhaps remove the broker fee which is unrealistic for FX trading.
It has a Win/Loss ratio of only 40% wins, but it catches the big moves and thats the main thing, so if ELON MUSK had of used this strategy instead of BUY and HOLD, he could of made 700% instead of 7% (as is, may, 2021)
Mainly intended for use as Automated TRADE BOT.
(imagine if Elon Musk did use this bot with his 1.3 billion $ worth of BTC, the drawdown would be like, half a billion or something haha (p.s.- use smaller lotsize % to get smaller drawdown, but then smaller profit....) )
For use with any pair and timeframe. In fact there is a timeframe setting to set the strategy to look at alternative timeframe from chart, but as default will just be set to charts timeframe.
MACD Signal with RSI Indicating StrategyThis strategy looks for MACD signal crossover and RSI confirmation of oversold/overbought condition.
Tune to your crypto/stock for best results using the strategy and sent an alert. Currently set up to use 25% of equity at each buy signal and will sell 1/3 of position at each sell signal. Initial investment is $1000, but adjust as necessary.
Currently tuned to DOGEUSD on 30min chart.
If you like/use/profit, follow me or shoot me a donation. If you are looking for a script design, I can help.
TDI Hedge Strategy
This is the incomplete version but upon multiple requests, I have released it early. All of the strategy and alert functions are yet to be written and I'll get around to it soon.
This indicator aims to be the best TDI indicator on TradingView. It is a strategy or study. It will have all of the filter, entry, and exit conditions for the strategies around the TDI.
What is implemented
MFI or RSI: the MFI is a much better TDI baseline than the RSI, in my opinion, and very effective
EMA or SMA used for the moving averages on fast, slow, and volatility band
Dynamic timeframe: set a factor of current timeframe and indicator will analyse higher timeframe automatically
Manual timeframe: set a higher timeframe to analyse different to currently viewed
Features for later
conditions for TDI filters/entries/exits
Strategy functions to use built-in strategy tester
BTE signal plot for Backtesting & Trading Engine
alerts
Enjoy!
Momentum - Strategy ScriptBased on the bult-in momentum script, I took the liberty of updating it, adding two features.
First, I would like to see the momentum oscillator showing percentage values, rather than absolute values. Visually facilitating analysis in long-term graphs.
Second, just for fun*.
I don't know how to explain the reason exactly, but for the strategy bult-in script, I didnt like the formula of "mom1" calculation.
So I changed it for a formula that made the most sense to me.
In any case, the original script remains in the code, optionally disabling the "percent" option and selecting the MOM1 option in the "MOM Choice" field, for the purpose of study and comparisons.
The script below is opened for study and any suggestions will be welcome.
I hope it can help the community.
It's just the beginning.
Study only purpose.
I tried to follow the code conventions found in the link below.
www.pinecoders.com
Sentiment OscillatorPrice moves when there are more market takers than there are market makers at a certain price (i.e. price moves up when there are more market buys than limit sells and vice versa). The idea of this indicator is to show the ratio between market takers and market makers in a way that is intuitive to technical analysis methods, and hopefully revealing the overall sentiment of the market in doing so. You can use it in the same way you would other oscillators (histogram crossing zero, divergences, etc). The main difference between this and most volume-weighted indicators is that the price is divided by volume instead of multiplied by it, thus giving you a rough idea of how much "effort" it took to move the price. My hypothesis is that when more volume is needed to move the price, that means bulls and bears are not in agreement of what the "fair price" should be for an asset (e.g. if the candle closes only a bit higher than its open but there's a huge spike in volume, that tells you that a majority of the market are starting to think the price is too high and they've started selling).
Methods of Calculation
1. Price Change Per Volume
The main method this indicator uses to reveal market sentiment is by comparing price change to the volume of trades in a bar.
You will see this calculation plotted in its most basic form by ticking the "Show Bar per Bar Change/Volume" box in the inputs dialog. I personally found that the plots were too noisy and cannot be used in real time reliably due to the fact that there is not much volume at the open of a new bar. I decided to leave in the option to use this method, in case you'd like to experiment with it or get a better grasp of how the indicator works.
2. Exponential Moving Averages
In my quest to smooth out the plotted data, I experimented with exponential moving averages. Applying an EMA on the change per volume data did smooth it out a bit, but still left in a lot of noise. So I worked around it by applying the EMA to the price change first, and then dividing it by the EMA of the volume. The term I use for the result of this calculation is "Market Sentiment" (do let me know if you have a better-fitting term for it ;-)), and I have kept it as an option that you can use in the way you would use other oscillators like CMF, OBV, etc. This option is unticked by default.
3. MACD
I left "Market Sentiment" unchecked as the default option because I thought an easier way to use this indicator would be as a momentum indicator like the MACD . So that's what I turned it into! I applied another EMA on the Market Sentiment, added a slower EMA to subtract from the first, and now we have a MACD line. I added a signal line to subtract from the MACD , and the result is plotted as a histogram... ish . I used area instead of columns for plot style so you don't get confused when comparing with a regular MACD indicator, but you can always change it if an actual histogram is more your taste.
The "histogram" is the main gauge of sentiment change momentum and it is easiest to use, that is why it is the only calculation plotted by default.
Methods of Use
As I have mentioned before, you can use this as you would other oscillators.
-The easiest way to use this indicator is with the Momentum histogram, where crosses over 0 indicate increasing bullish sentiment, and crosses below 0 indicate increasing bearish sentiment. You may also spot occasional divergences with the histogram.
-For the Market Sentiment option, the easiest way to use it is to look for divergences.
-And if you use the "Price Change per Volume of Each Bar", well... I honestly don't know. I guess divergences would be apparent towards the close of a bar, but in realtime, I don't recommend you use this. Maybe if you'd like to study the market movement, looking at historical data and comparing price, volume , and Change per Volume of each bar would come in handy in a pseudo-tape-reading kind of way.
Anyway, that's my explanation of this indicator. The default values were tested on BTC/USDT (Binance) 4h with decent results. You'll have to adjust the parameters for different markets and timeframes.
I have published this as a strategy so you can test out how the indicator performs as you're tweaking the parameters.
I'm aware that the code might not be the cleanest as I have only started learning pine (and code in general) for about a month, so any suggestions to improve the script would be appreciated!
Good luck and happy trading :-)
All in One StrategyTrue improvement over my previous script. This script adds in all of the complementary indicators, makes it truly easy to adjust the inputs, and has produced a real world net gain using the TradingView bots paired with any broker's API that is supported.
It has a selection for which strategy you'd like to use and due to limitations in Pine I cannot program in logic to make sure you only pick one, so you need to make sure you are only picking one.
To tweak the Connors option - it only depends on the RSI length variable, everything else is hard coded and tweaked for Crypto.
To tweak the MACD - play around with the min and max values of the RSI for lookback and the amount of candles to lookback. Then tweak the fast and slow MA lengths. I have found that a fast length of 3 or 4 and a slow length between 6 and 10 will yield the highest gains.
Also, when I was a young Noob I thought using a chart timeframe of 5 minutes was the best...no...no it wasn't. I lost my ass. Don't lose yours. I highly suggest sticking with a 30 minute timeframe, you will minimize losses caused by false triggers, have less trades and higher profits. More is not always better, trades that may sell one day and then buy six days later are normal. Leave it do its magic and you'll be very happy in the end.
Strategy - DMI Indicator with DPO Indicator as a GuardThe Directional Movement Index Indicator is one of my favorite indicators in tradingview's built-in library. It is free to use for all
For more information on what the DMI is, please visit: www.tradingview.com
The only problem I've come across with the DMI is that when it hits a 'trade range zone' it triggers false new trends (this is the case with almost every indicator I've ever tested).
This script modifies the DMI by removing the need for the ADX logic. It only focuses on the +DI and the -DI.
In order to remove the 'noise' generated during a trade range zone I have added another powerful indicator called the Detrended Price Oscillator.
The DPO is also a 'built-in' indicator on tradingview. www.tradingview.com
The DPO is used in conjunction with the DMI to stop trade ranges from wrecking your profits.
This strategy logic simply checks for the DMI indicator to cross itself. If the +DI crosses over the -DI this is a bullish cross and visa versa, if the -DI crosses over the +DI then it could mean bearish sentiment is building.
But then strategy logic uses the DPO to check if the DPO is above 0 or below 0 value
If the +DI crosses over the -DI and the DPO is above 0 value, then it's a Long entry point.
However, if the +DI crosses over the -DI and the DPO is below 0 value, then the Long signal is void.
And visa versa, if the -DI crosses over the +DI and the DPO is below 0 value, then it's a Short entry point (unless the DPO is greater than 0)
With this DPO 'guard' in place, it helps us keep the total trades executed to a minimum.
This is vital to push through trade ranges that can wreck your profit potential.
I wish I could create a better plotting mechanism for this indicator so you can better see the visuals. But combining the DMI to scale with the DPO is not possible.
The best solution is to simply add another DMI indicator to your chart so you can compare the DMI to this script that is dominated by the DPO (yellow line).
Enjoy! Likes are much appreciated!
MACD, RSI, & RVOL Strategy
This strategy combines the use of MACD (12, 26, 9), RSI (14, 30, 70), and RVOL (14) to create Long Buy and Sell signals. This works well with many different time intervals but was developed with 15-minute intervals in mind.
Using MACD as a reference, the strategy identifies when the MACD line crosses over (a factor in a buy signal) and under (a factor in a Sell signal) the Signal line. This shows a shift in positive (cross over) and negative (cross under) of a security.
Using the Relative Strength Index ( RSI ) as an indicator, the strategy notices when the velocity and magnitude of the directional price movements cross over the Oversold signal (30) and crosses under the Overbought signal (70) as a factor in creating a Buy and Sell signal.
Using Relative Volume (RVOL) as an indicator, the strategy calculates when the current volume has crossed over the 2x average volume indicator over a given period and is then used as a factor in creating a Buy signal. RVOL is also used when the change in volume crosses under a set RVOL number (in this strategy, it is set to a RVOL of 5).
RVOL = Current Volume / Average Volume over a certain period
This strategy indicates a Buy signal when 2/3 conditions are met:
- RSI Cross Over the Over Sold signal (default 30)
- MACD Cross Over of Signal ( MACD > Signal)
- RVOL Cross Over of 2 (RVOL > 2)
This strategy indicates a Sell signal when 2/3 conditions are met:
- RSI Cross Under the Over Bought signal (default 70)
- MACD Cross Under of Signal ( MACD < Signal)
- RVOL Cross Under 5 (RVOL < 5)
Enjoy and leave feedback!
Combo Backtest 123 Reversal & Psychological line This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Psychological line (PSY), as an indicator, is the ratio of the number of
rising periods over the total number of periods. It reflects the buying
power in relation to the selling power.
If PSY is above 50%, it indicates that buyers are in control. Likewise,
if it is below 50%, it indicates the sellers are in control. If the PSY
moves along the 50% area, it indicates balance between the buyers and
sellers and therefore there is no direction movement for the market.
WARNING:
- For purpose educate only
Linear RSIThis is an attempt to create a strategy based on the previous post. The strategy, as before, is based on the RSI, which is calculated using linear regression, but with the addition of EMA. The crossing of EMA and RSI is a buy and sell signal. There are also two functions to buy (because I haven't decided which is really better), so please use checkbox to order which one you would like to use.
[laoowai]BNB_USDT_3m_3Commas_Bollinger_MACD_RSI_StrategyBNB_USDT _3m
Release Notes:
Time: 3min
Pair: BNB_USDT
Use: {{strategy.order.alert_message}}
What's the difference with 3Commas Bollinger Strategy by tedwardd:
1. Initial capital: 1210 USDT (10$ Base order / 400$*3 Safety order), if you will change, please change JUST safety order volume or number of safety orders 2-3
2. Using just 2(3) safety order (original script 4)
3. More high-performance strategy for BNB_USDT
4. Using MACD to sell order (original script take profit by scale), thanks Drun30 .
5. Using RSI to analyze the market conditions.
Need to change:
bot_id = input(title="3Commas Bot ID", defval=" YOUR DATA ")
email_token = input(title="Bot Email Token", defval=" YOUR DATA ")
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FAQ copy from tedwardd
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This strategy is intended for use as a way of backtesting various parameters available on 3commas.
The primary inputs for the strategy are:
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// USER INPUTS
Short MA Window - The length of the Short moving average
Long MA Window - The length of the Long moving average
Upper Band Offset - The offset to use for the upper bollinger offset
Lower Band Offset - The offset to use for the lower bollinger offset
Long Stop Loss % - The stop loss percentage to test
Long Take Profit % - The Take profit percentage to test
Initial SO Deviation % - The price deviation percentage required to place to first safety order
Safety Order Vol Step % - The volume scale to test
3Commas Bot ID - (self-explanatory)
Bot Email Token - Found in the deal start message for your bot (see link in the previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match the format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT )
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Start Date, Month, Year and End Date, Month, and Year all apply to the backtesting window. By default, it will use as much data as it can give the current period select (there is less historical data available for periods below 1H) back as far as 2016 (there appears to be no historical data on Trading view much before this). If you would like to test a different period of time, just change these values accordingly.
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Composite bot using a Bollinger band type trading strategy. While its primary intention is to provide users a way of backtesting bot parameters, it can also be used to trigger a deal start by either using the {{strategy.order.alert_message}} field in your alert and providing the bot details in the configuration screen for the strategy or by including the usual deal start message provided by 3commas.
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Original script:
1. 3Commas Bollinger Strategy by tedwardd
2. Momentum Strategy ( BTC /USDT; 1h) - MACD (with source code) by Drun30
Stochastic TrendDear community,
I've made another simple trading bot for you to use. This bot is based on the Stochastic Oscillator. It only produces long trades currently.
I changed the oscillation period to a much longer one, which in turn creates opportunities to trade long term trends.
The bot goes long when the Entry lines is crossed from below and it will close its long position once the Exit line has been crossed from above.
Bollinger Bands strategy with RSI and MACD v1.0 This is a strategy based on the Bollinger Bands, where buy trades are made when the price crosses the lower line of the Bollinger Bands upwards, and sell trades are made when the price crosses the upper line downwards.
In addition, it is possible through the inputs to enable trading with RSI and MACD, so that buy or sell trades are supported by these two indicators.
Trades are partially and fully closed in the following way, a buy trade will close half of the position when the price touches the middle line of the Bollinger bands and will be fully closed when the price touches the upper band. In the case of a sell position, half of the position will be closed if the price touches the middle band and the entire position will be closed when the price touches the lower band. Alternatively, a fixed take profit can be placed. In case the price moves against us, trailing stops can be placed.
In case of selecting to use RSI, MACD, or MACD variation, trades will be executed as long as The Bollinger Bands, and all the above-mentioned indicators give the same signals, either buy or sell.
For example in the case of selecting only Use RSI, buy trades would be made as long as RSI and BB give buy signals.
Strategy inputs:
-BB source: Bollinger Bands price source.
-Bollinger Bands SMA length: Bollinger Bands simple moving average length.
-Bollinger Bands StdDev length: Bollinger Bands standard deviation length.
-Trail Long Loss (%): Distance in percentage at which the stop loss will initially be placed for buy trades.
-Trail Short Loss (%): Distance in percentage at which the stop loss will be initially placed for sell trades.
-Maximum orders: Maximum of simultaneous operations, for example, if it is 3, up to 3 parallel operations of buy and up to 3 parallel operations of sell will be carried out.
-Position size: Number of contracts per trade.
-Use RSI: If selected, the strategy will also trade based on oversold or overbought signals provided by the RSI.
-RSI source: RSI price source.
-RSI period: The RSI period to use.
-RSI value for buy: If the RSI is below this value, it will give a buy signal.
-RSI value for sell: If the RSI value is above this value, it will give a sell signal.
-Use MACD: If selected, buy trades will be made when the MACD crosses 0 upwards, and sell trades will be made when the MACD crosses 0 downwards.
-Use MACD variation: Only available if MACD is previously selected. In this case, buy trades are made if the MACD value in the last 3 candles has been decreasing, and sell trades are made if the MACD value has been increasing.
-MACD source: MACD price source.
-MACD fast length: MACD fast EMA lenght.
-MACD slow length: MACD slow EMA lenght.
-MACD signal length: MACD signal EMA lenght.
-Use maximum TP long: If selected, a fixed take profit will be placed for buy trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit long (%): Distance in percentage at which the take profit will be placed for buy trades.
-Use maximum TP short: if selected, a fixed take profit will be placed for sell trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit short (%): Distance in percentage at which the take profit will be set for sell trades.
I hope you like it and as always all feedback is welcome.