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 .
Medie mobili
Long TermThe Strategy is to buy based on Stan which is long term strategy on stocks. This works on 30WEEK And RSI indicator which helps to understand when to enter stock and when not to.
Additionally due to fast moving trades, added logic of crossover of close price above 50DMA
Long only EMA CROSS 8/50/200 BacktestImprove EMA CROSS 8/50/200 with adjustable Exit EMA Level, and can open trade only when above EMA200
Crypto swing correlation RSI and SMAThis is a crypto swing strategy, designed for long term periods and correlated pairs with crypto market total(or other coins used as correlation, however I recommend total of crypto or btc)
Its components are:
RSI with a very length
Correlation candles
SMA 9
Rules for entry:
For long : RSI is above 51 level and going higher and close of the candle is above the SMA
For short :RSI is below 49 and going lower and close of the candle is below the SMA
Rules for exit:
We exit when we encountered an opposite condition than the entry one, or based on take profit/stop loss levels.
If you have any questions let me know !
Full Crypto Swing Strategy ALMA Cross with MACDThis is a full crypto swing strategy designed.
From my testing it looks like it perform the best on timeframes 4h +.
The below example has been adapted to BNB/USDT, using the entire period since 2017 until present day, with a comission of 0.03% ( which is the comission for the futures on binance).
Its components are :
ALMA Fast
ALMA Slow
MACD Histogram
Rules for entry
For long, we have a crossover of the fast alma with the slow one and the histogram is ascending.
For short, we have a crossunder of the fast alma with the slow one and the histogram is descending.
Rules for exit
We exit based on a risk management system for TP and SL, or when we receive an opposite condition than the initial one.
Regarding risk management
0.05 = 5% movement
2 = 200% movement
0.001 = 0.1% movement
If you have any questions, let me know !
Só Trade Top - Média de 8 - Augusto BackesThis strategy is an ADAPTATION of the EMA8 Setup from Augusto Backes (brazilian crypto youtuber).
The strategy was designed to work on the daily timeframe with the weekly EMA8.
Buy signals when there is a bullish candle above the weekly EMA8 - bullish candles in the script: engulfing candles, closing price reversal and bullish hammer.
Exit signals when there is a bearish candle below the weekly EMA8 - bearish candles in script: engulfing candles, closing price reversal and bearish hammer.
Entries and Exits on signals close.
Risk Management: all in on every trade.
The results here shown are from the standard parameters of the strategy.
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PORTUGUESE TRANSLATION
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Essa estratégia é uma adaptação do setup EMA8 do youtuber crypto Augusto Backes.
A estratégia foi desenvolvida para trabalhar em gráficos diários, usando a EMA8 do gráfico semanal.
Sinais de compra: quando uma figura de alta acontece acima da EMA8 semanal. Figuras de alta consideradas: Engolfo de Alta, Preço de fechamento de reversão de alta e Martelo de Alta
Sinais de saída do trade: quando uma figura de baixa acontece abaixo da EMA8 semanal. Figuras de baixa consideradas: Engolfo de Baixa, Preço de fechamento de reversão de baixa e Martelo de Baixa.
Todas as ordens são executadas dos fechamentos dos candles de sinal.
Gestão de risco: 100% do capital em cada trade.
Os resultados mostrados são com a aplicação dos parâmetros padrão da estratégia.
DMI + HMA - No Risk ManagementDMI (Directional Movement Index) and HMA (Hull Moving Average)
The DMI and HMA make a great combination, The DMI will gauge the market direction, while the HMA will add confirmation to the trend strength.
What is the DMI?
The DMI is an indicator that was developed by J. Welles Wilder in 1978. The Indicator was designed to identify in which direction the price is moving. This is done by comparing previous highs and lows and drawing 2 lines.
1. A Positive movement line
2. A Negative movement line
A third line can be added, which would be known as the ADX line or Average Directional Index. This can also be used to gauge the strength in which direction the market is moving.
When the Positive movement line (DI+) is above the Negative movement line (DI-) there is more upward pressure. Ofcourse visa versa, when the DI- is above the DI+ that would indicate more downwards pressure.
Want to know more about HMA? Check out one of our other published scripts
What is this strategy doing?
We are first waiting for the DMI to cross in our favoured direction, after that, we wait for the HMA to signal the entry. Without both conditions being true, no trade will be made.
Long Entries
1. DI+ crosses above DI-
2. HMA line 1 is above HMA line 2
Short Entries
1. DI- Crosses above DI+
2. HMA line 1 is below HMA lilne 2
Its as simple as that.
Conclusion
While this strategy does have its downsides, that can be reduced by adding some risk manegment into the script. In general the trade profitability is above average, And the max drawdown is at a minimum.
The settings have been optimised to suite BTCUSDT PERP markets. Though with small adjustments it can be used on many assets!
CRYPTO TRADING BOT - 1min SCALPING LONG/SHORTHOW IT WORKS
The core concept behind the script is the determination of the current market mood in sense of creating a trendline indicator using EMA / SMA .
By using this trend indication alongside RSI / MACD value range, we are able to enter/exit the market in both directions: LONG and SHORT .
In case of confirmed false signals, we try to catch up the next good opportunity to minimise loss and to close the current trade.
If the chance for a good countertrade is given at this point, the market is going to be entered reversely.
Should the market move incredibly fast against our trade direction, we use proven Stop-loss targets, to bring our children into safety.
As many others, we could tell you now, that we used state-of-the-art machine learning algorithms
as well as highly sophisticated methods to gain our results.
As a fact, we started with an idea, using simple and common trading tools/indicators,
as a solid ground. We did not want to reinvent the wheel and it paid off.
GET A WORKING SCRIPT
The algorithm we are using has initially been created with a self-developed backtesting software.
To be able to deliver gas to our engine, we have bought a huge amount of OHLCV data for the 1min chart.
After many exhausting and frustrating weeks of our workflow-rotation (develop, fail, fix, test, repeat)
we finally got confirmation for all of our conditions/expectations, so we translated our algorithm into pine-code.
THE RESULTS
Since we have been using our Pine-Strategy alongside our backtesting software , we checked all the results provided by TradingView
and our tool to be 100% sure every outcome, every entry and every exit is exactly the same.
We did this for several months and since 2021 June we have been using it with real Alerts, coped to our binance account.
Below, you will find how the performance for the previous months looked like (every trade was made with 100% of the capital, of course using proper stop loss and take profit):
September 2020: 15.18%
October 2020: 36.17%
November 2020: 15.12%
December 2020: 48.58%
January 2021: 150.10%
February 2021: 45.96%
March 2021: 46.48%
April 2021: 4.96%
May 2021: 43.48%
June 2021: -28.99%
Juli 2021: 15.63%
August 2021 (so far): 11.57%
Accumulated Profit: 1,979.01%
To prove our results, we will link an excel sheet for every trade that was made within this timerange.
Link: docs.google.com
ABOUT US
We are two good friends, both incredibly interested in mathematics, software engineering, AI and algorithmics. After getting introduced into the crypto space
by a common friend, we started figuring out that there is a pattern behind every big or small move which happens in an asset.
This is where the passion for creating a CRYPTO TRADING BOT began. It was our goal, to create this script for the 1min Timeframe, so the software can react quickly when a
big or small move is happening - this is why it is called a SCALPING SCRIPT .
We are incredibly proud of this script and would like to share it with this amazing community - just hit us up on TradingView!
3Commas BotBjorgum 3Commas Bot
A strategy in a box to get you started today
With 3rd party API providers growing in popularity, many are turning to automating their strategies on their favorite assets. With so many options and layers of customization possible, TradingView offers a place no better for young or even experienced coders to build a platform from to meet these needs. 3Commas has offered easy access with straight forward TradingView compatibility. Before long many have their brokers hooked up and are ready to send their alerts (or perhaps they have been trying with mixed success for some time now) only they realize there might just be a little bit more to building a strategy that they are comfortable letting out of their sight to trade their money while they eat, sleep, etc. Many may have ideas for entry criteria they are excited to try, but further questions arise... "What about risk mitigation?" "How can I set stop or limit orders?" "Is there not some basic shell of a strategy that has laid some of this out for me to get me going?"
Well now there is just that. This strategy is meant for those that have begun to delve into the world of algorithmic trading providing a template that offers risk defined positions complete with stops, limit orders, and even trailing stops should one so choose to employ any of these criteria. It provides a framework that is easily manipulated (with some basic working knowledge of pine coding) to encompass ones own ideas and entry criteria, while also providing an already functioning strategy.
The default settings have a basic 1:1 risk to reward ratio, which sets a limit and a stop equal distance from the entry. The entry is a simple MA cross (up for long, down for short). There a variety of MA's to choose from and the user can define the lengths of the averages. The ratio can be adjusted from the menu along with a volatility based adder (ATR) that helps to distance a stop from support or resistance. These values are calculated off the swing low/high of the user defined lookback period. Risk is calculated from position entry to stop, and projected upwards to the limit as a function of the desired risk to reward ratio. Of note: the default settings include 0.05% commissions. Competitive commissions of the leading cryptocurrency exchanges are .1% round trip (one buy and one sell) for market orders. There is also some slippage to allow time for alerts to be sent and orders to fill giving the back test results a more accurate representation of real time conditions. Its recommended to research the going rates for your exchange and set them to default for the strategy you use or build.
To get started a user would:
1) Make a copy of the code and paste in their bot keys in the area provided under the "3Comma Keys" section
- eg. Long bot "start deal" copied from 3commas in to define "Long" etc. (code is commented)
2) Place alert on desired asset with desired settings ensuring to select "Order fills and alert() function calls"
3) Paste webhook into the webhook box and select webhook URL alerts (3rd party provided webhook)
3) Delete contents of alert message box and replace with {{strategy.order.alert_message}} and nothing else
- the codes will be sent to the webhook appropriately as the strategy enters and exits positions. Only 1 alert is needed
settings used for the display image:
1hr chart on BTCUSD
-ATR stop
-Risk adjustment 1.2
-ATR multiplier 1.3
-RnR 0.6
-MAs HEMA/SMA
-MA Length 50/100
-Order size percent of equity
-Trail trigger 60% of target
Experiment with your own settings on your crypto of choice or implement your own code!
Implementing your trailing stop (optional)
Among the options for possible settings is a trailing stop. This stop will ratchet higher once triggered as a function of the Average True Range (ATR). There is a variable level to choose where the user would like to begin trailing the stop during the trade. The level can be assigned with a decimal between 0 and 1 (eg. 0.5 = 50% of the distance between entry and the target which must be exceeded before the trail triggers to begin). This can allow for some dips to occur during the trade possibly keeping you in the trade for longer, while potentially reducing risk of drawdown over time. The default for this setting is 0 meaning unless adjusted, the trail will trigger on entry if the trailing stop exit method is selected. An example can be seen below:
Again, optional as well is the choice to implement a limit order. If one were to select a trailing stop they could choose not to set a limit, which could allow a trail to run further until hit. Drawdowns of this strategy would be foregoing locking gains at highs on target on other trades. This is a trade-off the user can decide on and test. An example of this working in favor can be observed below:
Conclusion
Although a simple strategy is implemented here, the benefits of this script allow a user a starting platform to build their strategies from with built in risk mitigation. This allows the user to sidestep some of the potential difficulties' that can arise while learning Pine and taking on the endeavor of automating their trading strategies. It is meant as an aid, a structure, and an educational piece that can be seen as a "pick-up-and-go" strategy with easy 3Commas compatibility. Additionally, this can help users become more comfortable with strategy alert messages and sending strings in the form of alerts from Pine. As well, FAQs are often littered with questions regarding "strategy.exit" calls, how to implement stops. how to properly set a trailing stop based on ATR, and more. The time this can save an individual to get started is likely of the best "take-aways" here.
Happy trading
Correlation StrategyThis is strategy determines a level (expressed in a scale from 1 to 100) of correlation
between security A (user defined) and security B (used on the chart) closing prices. If the correlation
is less than the user defined threshold, a buy signal will be possible. To determine the direction
of the trade we can choose between a Simple Moving Average or a Relative Strength Index indicator,
both with user defined lengths.
WFA Explained
This strategy includes a simple Walk Forward Optimisation, which is a technique used to evaluate the robustness
of the strategy, simulating a live trading environment where the future (the "out-of-sample" period) is not visible yet. The "in-sample" period is where you should optimise the values of the Strategy Inputs that match the ones in the WFA section. Default period value is 1 (or 1/3 of all the candles in the chart).
After optimising the first period, the "All" period can be chosen to evaluate the results of
our "in-sample" optimisation in an "out-of-sample" period (="All"-"1"). It is also possible (and recommended) to optimise
each period (1 and 2) independently and then replace the corresponding values in the WFA section of the inputs panel.
The WFA input is used to make those values effective in their corresponding periods.
More info on WFA: en.wikipedia.org
Triad-SwingBot-BTCStrategy tuned for BitCoin . The indicator version of this uses alerts to start a long or short DCA 3comma bot. Preferably running on futures exchange so I can go long or short and use 5x margin. Alerts also take profit/close position when trend changes.
KYC crackdown is leaving me limited places I can run these now.
Use this on Binance BTC /USDT 1HR chart. Binance seems to give the best data even when trading from other exchanges.
There are various versions of these I might release tuned to each cryptocurrency. I have about 20 different coins that were profitable. Each work best with different settings.
This strategy uses a variety of factors to determine long and short entry including:
-Price is starting to trend up (long) or down (short)
-Price closing above/beneath specified EMA or SMA
-Price within RSI bounds for valid entry
-MACD histogram is positive(long) or negative (short)
-Volume surge indicating viable entry
If there's decent interest in the indicator version of this with alerts to send long/short signals to bots, I'll work out an invite-only system.
Ichimoku Cloud Strategy IdeaThis strategy idea uses the famous Ichimoku Cloud (Forward-shifted SMA-9 and SMA-26) and Chiku (52-candle lagged close price) with its default parameters. This strategy is slow and issues few signals. However, this is one of the most performant long-term trend trading strategies. It usually works well on 1D and 4H timeframes and even better on trending instruments. 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 close price and chiku are above the cloud, market is considered rising (bullish) and the plotted cloud becomes green.
When both close price and chiku are below the cloud, market is considered falling (bearish) and the plotted cloud becomes red.
Otherwise, market is considered ranging and the plotted cloud becomes orange.
Entry/Exit rules
Enter LONG right after both close price and chiku went above the cloud (i.e. when the end of the plotted cloud becomes green).
Enter SHORT right after both close price and chiku went below the cloud (i.e. when the end of the plotted cloud becomes red).
EXIT market when close price enters the cloud.
CAUTION
It's just a bare trading idea - but a profitable one. 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 several instruments (Like BTC , ETH, etc.), and also performs better in Long/Short mode on other instruments (Like VET, BNT, etc.).
Crypto Scalper Divergence Macd Psar Ema 200This is a very efficient crypto scalper adapted to very short timeframes, however it can be optimized for other timeframes and assests as well.
Its components are
MACD
P SAR
EMA 200
Risk management
Rules for entry:
For short : we have an uptrend on PSAR , histogram is positive (divergence MACD) and close of a candle is below EMA 200
For long : we dont have an uptrend on PSAR, histogram is negative(divergence MACD) and close of a candle is above EMA 200
Rules for exit:
We exit when we either find a reverse condition than the entry one, or based on stop loss/take profit that are calculated on % movements of the price.
If you have any questions, let me know !
Date Range DemonstrationThis is a simple strategy that demonstrates how to easily incorporate a date range into a strategy. This allows you to limit your backtesting to a specific range of dates, which is vital if you want to compare different time frames.
To use:
Copy the code block between the '////' lines into your strategy.
Add the variable 'inDateRange' to your entry and/or exit strategy conditions.
[VJ]Thor for MFIThis is a simple intraday strategy for working on Stocks or commodities . You can modify the start time and end time based on your timezones. Session value should be from market start to the time you want to square-off
Important: The end time should be at least 2 minutes before the intraday square-off time set by your broker
Comment below if you get good returns
Strategy:
Indicators used :
Moving average (MA) is a widely used technical indicator that smooths out price trends by filtering out the “noise” from random short-term price fluctuations. Here moving averages are used to identify trend direction and to determine support and resistance levels. Overbought and oversold regions are also taken into consideration
The Money Flow Index ( MFI ) is a momentum indicator that measures the flow of money into and out of a security over a specified period of time. It is related to the Relative Strength Index ( RSI ) but incorporates volume , whereas the RSI only considers price. The MFI is calculated by accumulating positive and negative Money Flow values (see Money Flow ), then creating a Money Ratio. The Money Ratio is then normalized into the MFI oscillator form.
Using the combination of Overbought and Oversold values and varying MFI and using the MA filter to ensure the direction , we can buy/sell when conditions are met
Buying with MFI
1. MFI drops below 20 and enters inside oversold zone.
2. MFI bounces back above 20.
3. MFI pulls back but remains above 20.
4. A MFI break out above its previous high is a good buy signal.
Selling with MFI
1. MFI rises above 80 and enters inside overbought zone.
2. MFI drops back below 80.
3. MFI rises slightly but remains below 80.
4. MFI drops lower than its previous low is a signal to short sell or profit booking
Usage & Best setting :
Choose a good volatile stock and a time frame - 5m.
MFI factor : 3
Moving Average : 80
Overbought & Oversold - can be varied as per user
There is stop loss and take profit that can be used to optimise your trade
The template also includes daily square off based on your time.
SMA-Extendido-Estrategia por NeilDescription:
Strategy that identifies entry and exit operations, using 3 moving averages and 5 strategies. New strategies are implemented such as the prediction of closing operations, independent of the events that justify entry operations.
How does it work:
1) Long strategy: if SMA5 crosses up to SMA200 and SMA200 is bullish, a buy operation begins, if SMA5 crosses down to SMA200 and SMA200 is bearish, a sale begins.
2) Short strategy with smooth filtering of operations: if SMA5 crosses up to SMA20 and SMA20 is bullish and (SMA5 are above SMA200) a buy operation is initiated. If SMA5 crosses down to SMA20 and SMA20 is bearish and (SMA5 are below SMA200) a sell trade is initiated
3) Short strategy with strong filtering of operations: if SMA5 crosses up to SMA20 and SMA20 is bullish and (SMA5 and SMA20 are above SMA200 and SMA200 is bullish) a buy is initiated, in other words, buy operations occur only if SMA5 and SMA20 are above SMA200; if SMA5 crosses down to SMA20 and SMA20 is bearish and (SMA5 and SMA20 are below SMA200 and SMA200 is bearish) a sell is initiated, that is, sell operations occur only if SMA5 and SMA20 are below SMA200
4) Short strategy without filtering operations: if SMA5 crosses up to SMA20 and SMA20 is bullish, a buy is initiated (the location of MA200 does not matter). If SMA5 crosses down to SMA20 and SMA20 is bearish, a sell is initiated (it does not matter where the MA200 is located)
5) Prediction of closing operations: the algorithm evaluates potential closing operations differently and considers the following rules: If there is an active buy trade and SMA5 crosses down to SMA20, we close the current buy (the location of the SMA200 does not matter). If there is an active sell trade and SMA5 crosses up to SMA20, we close the sale in progress (the location of the SMA200 does not matter)
How to use it:
Press the "Indicators" option, go to the "Public Librarian" segment, write the name "SMA-Extendido-Estrategia por Neil", double-click on the record in question and you will have it added in your work panel, now, just It remains to be used to identify the inputs and outputs and you can do it visually or by defining the automatic notification alerts.
High/Low Channel Multi averages Crypto Swing strategyThis is a swing strategy designed for trending markets such as crypto and stock, with big timeframes , like 8h.
For this strategy we take SMA, EMA, VWMA, ALMA, SMMA, LSMA and VWMA and make an apply them all to both HIGH and LOW separately and make 2 averages, 1 applied to high and the other applied to low.
With them we make a channel.
Rules for entry
For long: close of a candle is above avg applied to high.
For short: close of a candle is below avg applied to low.
Rules for exit
We exit when we either hit TP or SL or when we receive a different condition than the entry one.(long- > short and viceversa)
If you have any questions, let me know !
Swing/Scalper HULL + T3 avg Crypto StrategyThis is a both a swing and a scalper strategy(depends on the timeframe that you use), that works with all timeframes, however I noticed that with swing 3h works the best on most crypto pairs, such as ETH, BTC and so on.
Its main components are:
Hull moving average
T3 moving average
Risk management
With them I make an average and use it as the main moving average.
Rules for entry
For long: Average moving average is bigger than previous average moving average value.
For short:Average moving average is lower than previous average moving average value.
Rules for exit
We exit when either the TP/SL has been hit, or when we get a different condition than previous one(both for long and short).
If you have any questions, let me know !
TEMA/MAMA CrossThis is a strategy based on the TEMA and Ehler's MAMA moving averages. Crosses of the fast and slow TEMA are commonly used for entry and exit strategies. The Ehler's Mesa Adaptive Moving Average is a trend-following price indicator that uses a Hilbert Transform. Having plotted both TEMA and eMAMA side-by-side for some time, I noticed a pattern where the fastTEMA crossed over the eFAMA (eFAMA is the Ehler's MAMA following/slow MA) prior to a price increase. This is a strategy to test that observation.
The strategy (at present) only does long entries. It enters long when the fastTEMA crosses up over the (slow) eFAMA. It uses a traditional exit when the fastTEMA crosses below the slowTEMA. I have tested this on several tokens on 1hr charts using a fastTEMA length of 13. Play with it on different charts and different lengths to see how it works for you.
Hull Crossover Strategy no TP or SLWhat is it?
A simple yet effective strategy ran on the 30m chart.
This is a basic idea that can be expanded on using different indicator to either add signals or filter out certain bad signals!
The strategy consists of 1 fast moving average and 1 slow moving average.
Both of these moving averages are the Hull Moving Average
What is the Hull Moving Average?
The Hull Moving Average ( HMA ) is a directional trend indicator.
It captures the current market conditions and uses recent price action to determine if conditions are bullish or bearish relative to historical data.
The Hull is different from traditional trend indicators like the EMA and the SMA .
It is designed to reduce the lag often associated with other MAs by providing a faster signal on a smoother visual plane.
How it works?
When the fast HMA crosses over the slow HMA , we initiate a long signal, and
when the fast HMA crosses under the slow HMA , we initiate a short signal.
Conclusion
The power of simplicity is what makes this such a great core to use to build onto making something even better!
The results were optimised to suit the most common market conditions seen today.
******** Not financial advice! ********
Triple Supertrend + Stoch RSI + 200 EMA by @DaviddTechInspired by YouTube (again) I decided to backtest this strategy.
Here is my Triple Supertrend + Stoch RSI + 200 EMA v0.1 --
The Strategy :
Uses the 3 supertrends.
200 EMA
Stoch RSI
-- LONG --
* When over 200 ema and a Stoch RSI Cross happens below the oversold 20 then we wait for the 2 or 3 Supertrends to pass to green.
-- SHORT --
* When under 200 ema and a Stoch RSI Cross happens above the overbrought 80 then we wait for the 2 or 3 Supertrends to pass to red.
NOTES :
This was proven to be much better on manually backtesting. So, if you do spot a problem please DM me.
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
RSI Divergence + EMA @DaviddTechVery simple strategy that will look for Divergence on the RSI.
My Strategy for this was mixed with the 55 EMA which you can activate in the settings.
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
PSAR + MACD + 200 EMA by @DaviddTechIndicators used for this
200 EMA
MACD
PSAR
To take a Long Entry
* Price above the 200 EMA
* PSAR long entry signal
* Both MACD and signal line below 0
* MACD crossover
To take a Short Entry
* Price below the 200 EMA
* PSAR short entry signal
* Both MACD and signal line above 0
* MACD crossunder
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
