ELIA MULTI INDICATORS STRATEGYExperimental multi indicators strategy, to catch right entry and avoid noise.
Each indicator included in the strategy, assume a value based on its status and because is a trend-follow strategy, some indicator value are higher then the other
Backtested on ETHUSDTPERP
BINANCE:ETHUSDTPERP
Mata Wang Kripto
Bollinger Bands Trending Reverse StrategyWelcome to yet another script. This script was a lot easier since I was stuck for so long on the Donchian Channels one and learned so much from that one that I could use in this one.
This code should be a lot cleaner compared to the Donchian Channels, but we'll leave that up to the pro's.
This strategy has two entry signals, long = when price hits lower band, while above EMA, previous candle was bearish and current candle is bullish.
Short = when price hits upper band, while below EMA, previous candle was bullish and current candle is bearish.
Take profits are the opposite side's band(lower band for long signals, upper band for short signals). This means our take profit price will change per bar.
Our stop loss doesn't change, it's the difference between entry price and the take profit target divided by the input risk reward.
3Commas Bollinger StrategyThis strategy is intended for use as a way of backtesting various parameters available on 3commas.io composite bot using a bollinger band type trading strategy. While it's 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.open.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. You can find more information about how to do this from help.3commas.io
The primary inputs for the strategy are:
// 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 previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT)
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 given 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.
Known Issues
Currently there are a couple of issues with this strategy that you should be aware of. I may fix them at some point in the future but they don't really bug me so this is more for informational purposes than a promise that they may one day be fixed.
Does not test trailing take profit
Number of safety orders and Safety Order Step Scale are currently not user configurable (must edit source code)
Using the user configuration to generate deal start message assumes you are triggering a composite bot, not a simple bot.
TemaI have found that such simple crossover can show good results. Basically it has only 2 TEMA and nothing more. I don't know what else to write here. The code is simplest and has only one filter, which take into consideration the direction of chart.
Donchian Channels Trending Breakout StrategyThis script looks for two entry signals. Long is when the previous breakout of the donchian channels was a low, price is above the input EMA, current price is equal or higher than the upper band and we're not in a position yet. Short is the other way around, so previous breakout of the donchian channels was a high, price is below the input EMA, current price is equal or lower than the lower band.
I haven't found a script that does take the previous highs and lows into consideration. Works for any markets in any conditions because the stop loss and profit targets are based on the upper and lower band of the donchian channels, which means the stop loss and profit targets move with the trend.
For more details see the script itself, I wrote a ton of comments.
MACD Crossover trend strategy, Long and ShortHey everybody,
This is my first strategy and script I wrote mostly myself. There's tons of content out there to learn how to code in Pinescript and it's exactly what I wanted and needed in this time of my life.
In any case, I made a rather simple MACD crossover strategy that only takes trades in the direction of both EMA and SMA (there are inputs to change the length of the moving averages and lots of other stuff too).
If the MACD line crosses upwards on the signal line, while above the zero point of the histogram and the price is above EMA + SMA , it's a long signal.
If the MACD line cosses downards on the signal line, while below zero on the histogram and the price is below EMA + SMA , it's a short signal.
There are a lot of default variables that make no sense, for basically any symbol you're going to be looking at. You're going to have to adjust the EMA , SMA , backtest date, take profit, stop loss and all that good stuff yourself to find decently profitable parameters.
I made this myself because I couldn't really find a strategy out there that allowed for so much customizing and it's an easy way to get started in Pinescript.
If you have any suggestions, tips or you see a flatout mistake in my code, please let me know. I'm still learning, everyday and I'm enjoying every second of it.
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies!
P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
Multi Moving Average Crossing (by Coinrule)Moving Averages are among the most common trading indicators. They are straightforward to interpret and effective to use.
One of the limitations of using moving averages is they can provide buy and sell signals with a relatively high lag , making it very difficult to spot the lows and tops of the trend.
Moving averages calculated with a low number of periods like the MA9 (the average of the previous nine price periods) react very fast to price moves providing prompt signals. On the other side, more signals may end up with more false-signals and more trades in a loss.
On the contrary, moving averages calculated with a higher number of periods like the MA100 (which considers the previous one hundred price periods) give more reliable signals, but with a delay.
A system catching the crossing of the MA50 over the MA100 is a good compromise for successful long-term strategies. It provides, on average, reliable buy signals.
The Multi Moving Average Crossing Strategy tries to optimize the exit without waiting for the same opposite crossing (MA50 below MA100). It uses the MA9 crossing below the MA50, instead, to spot a better time for selling.
The setup is as follows.
BUY when the Moving Average 50 crosses above the Moving Average 100
SELL when the Moving Average 9 crosses below the Moving Average 50
The higher is the time frame to calculate the Moving Averages, the better is the overall performance of the strategy. The 4-hour (or 6-hour) time frame seems to be the best, even if it results in fewer trades. If you want to trade more still with good results, the 1-hour time is a good compromise.
Advantages of the strategy
This strategy seeks to catch those that are more likely relevant uptrends and close the trade relatively quickly. More trades mean more opportunities. This is especially effective if you run the strategy on all the available coins on the market, as you could do with Coinrule.
Generally, a Multi Moving Averages approach beats the classic crossing strategy involving only two Moving Averages. We backtested a sample of twenty trading pairs to assess the benefits empirically.
The results show that the Multi Moving Average Strategy
outperforms 13 out of 20 times
has 95% higher average return
has 67% higher median return
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
RSI Classic Strategy (by Coinrule)One of the questions hobbyist traders more often ask is: what is the perfect trading indicator?
Every indicator is just a tool, so its efficiency is proportional to your ability to read its signals and translate them into an actionable trading strategy. The RSI is likely the most flexible and easy to use among the technical indicators.
This trading strategy tries to catch short-term swings on the coins of your choice with a simple yet profitable setup.
Buy when the RSI is lower than 30 (you can adjust it to 35 in times of steep uptrend).
Sell when the RSI is greater than 65 (the target may range between 60 and 75 depending on the volatility of the coin).
Note that the buy signal comes when the indicator crosses below 30 and not when it crosses above 30 as it happens on the built-in RSI strategy on Tradingview.
The present script overperforms the built-in strategy, even adding trading fees and using a lower amount of capital for each trade (30%). That means that the system can deliver higher net-profits with lower risk levels.
A typical example of market conditions where this strategy works perfectly is as follows.
The first initial breakout indicates that a new leg up in the trend may start. Bitcoin starts to trade within a range which you can identify when it reaches the point 3. That is the perfect time to start the rule because
- trading within a channel anticipates possible swings up and down
- the trend is on the upside, providing low downside risk in buying the dips.
This strategy works well with selected coins of your choice, and it's a great fit on leverage exchanges like Binance Futures.
If you prefer to run it across all available coins on the market, instead, you may choose an optimized version.
Heikin Ashi + Price Action Crypto LONG StrategyThis is a simple and efficient crypto strategy, designed for big timeframes like 12/24h.
On history it beats buy and hold strategy in many ocasions, and because of a low DD, pyramid can be used to elevate our winnings while still keeping a low DD < 40% avg.
For the purpose of this example, I used 100% of the capital on each trades, together with a comission of 0.1%
Warning : THERE IS NO STOP LOSS ON THIS STRATEGY ,USE IT AT YOUR OWN RISK
This strategy is made with inside Heikin Ashi candles , together with some price actions logics like for long Close > High and green candle and High > High .
We exit when we have a red candle and the current close is lower than the previous Low
If you have any questions, message me in private !
Momentum Strategy (BTC/USDT; 30m) - STOCH RSI (with source code)Here's a strategy for low time frames (30min suggested) for BTC , based on momentum Analysis using Stochastic RSI
By default the strategy will use the 50% of the specified capital for each trade; if "Gamble Sizing" is enabled, it will add the specified amount of capital (25% by default, until reaching the 100% limit or lower) for the next trade after having detected a loss in the previous trade; if the next trade is successful, the size for the next trade comes back to 50%
• Trend Filter LONG: If the fast exponential moving average is UNDER the slow exponential moving average , it won't open LONG positions
• Trend Filter SHORT: If the fast exponential moving average is ABOVE the slow exponential moving average , it won't open SHORT positions
• Bars delay: the strategy will wait the specified amount of bars before closing the current position; the counter is triggered as soon as the closing trade condition is verified
BY MAKING USE OF THIS STRATEGY, YOU ACKNOWLEDGE AND AGREE THAT: (1) YOU ARE AWARE OF THE RISKS ASSOCIATED WITH TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; (2) YOU SHALL ASSUME ALL RISKS RELATED TO THE USE OF THIS STRATEGY AND TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; AND (3) I SHALL NOT BE LIABLE FOR ANY SUCH RISKS OR ADVERSE OUTCOMES.
SOURCE CODE BELOW
Crypto Long only Strategy 3h+ timeframeToday I bring another crypto strategy that works greatly with pairs like BTCEUR, ETHEUR, for 3h+ time frames.
Its a risky strategy because we have a hard stop loss of 25% of our capital which can be modified.
The idea behind its simple, we have a candle which is made from open+high+low+close / 4 , and we make the decision based on this one.
We only go long with this strategy .
For entry: if we have 5 ascending candles we enter, and we exit when we have 4 descending candles.
For this example, I used 100% of the initial capital(1000 EUR/USD), with a commission of 0.1% per each deal.
At the same time, the max capital that can be lost in a trade is going to be the equity risk, in this example 25% .
Overall we can see that's more or less around the same level as buy and hold strategy
Maximized Moving Average Crossing (by Coinrule)Using the crossings of two Moving Averages to trade in a trading strategy is a Trend-Following approach. As the name would suggest, to be successful, it requires the asset to be on-trend.
The general limit of a common strategy based on Moving Averages is that they underperform when the market is less volatile or trading sideways. When volatility compresses, the indicators get very close one to another, crossing each other very often. That's exactly the condition when trend-following strategies underperform.
To improve this strategy, it's useful to filter the buy signal using the RSI. When the RSI is close to overbought conditions, that means that the coin is likely trading in an uptrend. Strong uptrends usually come with RSI values that stay overbought for long periods, creating interesting opportunities.
Setup
Buy condition: the MA9 crosses above the MA50, and at the same time, the RSI has a value greater than 55.
Sell condition: the MA9 crosses below the MA50.
The strategy is optimized to provide better results on the 1-hr time frame, but it could work well also on higher time frames, such as the 4-hrs.
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
Profit MAX MTF HeatMapThis is a powerfull strategy which is made from combining 3 multi timeframes into one for profit max indicator
In this case we have daily, weekly and montly.
Our long conditions are the next ones :
if we have an uptrend on all 3 at the same time, we go long.
If we have a downtrend on all 3 of them at the same time we go short.
For exit, for long, as soon as one of the 3 converts into downtrend we exit the trade.
For exit, for short, as soon as one of the 3 converts into uptrend we exit the trade.
This tool can be used on all types of markets, and can also be changed the time frames.
BTC and ETH Long strategy - version 2I wrote my first article in May 2020. See below
BTC and ETH Long strategy - version1
After 6 months, it is now time to check the result of my script for the last 6 months.
XBTUSD (4H): 14/05/2020 --> 22/11/2020 = +78% in 4 trades
ETHXBT (4H): 14/05/2020 --> 22/11/2020 = +21% in 9 trades
ETHUSD (4H): 14/05/2020 --> 22/11/2020 = +90% in 6 trades
Using the signals from this strategy to trade manually has shown that this was a bit frustrating because of the low rate of winning trades.
If you have to enter 100 trades and see 75% of them failing and 25% winning, this is frustrating. For sure the strategy makes good money but it is difficult to hold this mentality.
So, I have reviewed and modified it to get a higher winning rate.
After few days of work, tests and validation, I managed to get a wining rate close to 60%.
The key element was also to decrease the number of trades by using a higher time frame. (4H candles instead of 2H candles).
- Entry in position is based on
MACD, EMA (20), SMA (100), SMA (200) moving up
AND EMA (20) > SMA (100)
AND SMA (100) > SMA (200)
- Exit the position if: Stoploss is reached OR EMA (20) crossUnder SMA (100)
The goal of this new script is to be able to follow the signals manually and only make few trades per years.
I have also validated it against some other altcoins where some are giving very good results.
Here are some results for 2020 (from 01/01/2020 until now (22/11/2020). Those results are the one I get when using 4H candles.
ETH/USD: +144% in 8 trades.
BTC/USD: +120% in 7 trades.
ETH/BTC: +33% in 9 trades.
ICX/USD: +123% in 10 trades.
LINK/USD: +155% in 11 trades.
MLN/USD: +388% in 8 trades.
ADA/USD: +180% in 7 trades.
LINK/BTC: +97% in 10 trades.
The best is that above results are without considering compound effect. If you re-invest all gains done in each new trade, this will give you the below results :)
ETH/USD: +189% in 8 trades.
BTC/USD: +260% in 7 trades.
ETH/BTC: +29% in 9 trades.
ICX/USD: +112% in 10 trades.
LINK/USD: +222% in 11 trades.
MLN/USD: +793% in 8 trades.
ADA/USD: +319% in 7 trades.
LINK/BTC: +103% in 10 trades.
As you can see, the results are good and the number of trades for 11 months is not big, which allows the trader to place orders manually.
But still, I'm lazy :), so, I have also coded this strategy in HaasScript language which allows you to automate this strategy using the HaasOnline software specialized in automated crypto trading.
I hope that this strategy will give you ideas or will be the starting point for your own strategy.
Let me know if you need more details.
Crypto ZigZag RSI strategy 15minThis strategy is designed for crypto markets like ETHUSD/T, BTCUSD/T and so on.
It works amazingly with 15 min time frames.
Its idea consists in :
We have the RSI indicator, and with it we check for the crossover with overbought and oversold levels. At the same time we have the zigzag which is made from the higher highs and the lower lows between a specific price movement in %.
For entries, they are going to be based on the crossover of rsi with overbought or oversold levels , combined together with cross over 0 line from the the zigzag.
At the same time the strategy has the posibility to go only long, only short or both.
Let me know if you have any questions.
Simple Moving Average + ADX + DMI + Time Range Test
Use long and short moving average to look for a potential price in/out. (default as 14 and 7, bases on the history experience)
ADX and DMI to prevent the small volatility and tangling MA.
This script allows you to set the beginning & end time to test the bullish & bearish market.
If you want an indicator version, here is it.
Thanks.
Velocity To Inverse Correlation to VIX/Bonds Strategy (2020)This strategy measures and creates a signal when an asset is moving out of a correlation with high yield bonds or the CBOE VIX into an inverse correlation, as well as when an asset is losing correlation with a top corporate bonds ETF. When this signal is triggered, the simulation has the portfolio asset go long.
Additionally, exits are based on a 2% stop loss and a 2% take profit for simplicity sake to indicate whether the direct next move in the asset is up or down.
This was originally tested as a descent indicator for Ethereum's 2020 moves as institutional investors moved into the market.
Bitlinc MARSI Study AST w/ Take Profit & Stop loss - beta 0.1This script is beta 0.1 - will update as soon as the script is tradable
This script is based on AST on a 10 minute timeframe. You can change the asset and the timeframe for any asset you want to trade, but for it to work correct ALL settings have to be testes in the Strategy section of the TradingView. Each assets and timeframe require a different mixture of settings. This is NOT a one settings fits all trading for all assets on any timeframe. Below are the settings and explanation on how it works.
How it fires a buy / sell:
The script will plot an RSI with upper and lower bands in a separate indicator window. The idea behind this script is to fire a LONG when MA crosses OVER lower band and fire a SHORT when the MA crosses under the lower band. Each order that fires is an OCO (Order Cancels Order) for pyramiding.
Settings:
You have full control of these settings as mentioned above, you must configure every part of this script for each asset and timeframe you trade.
- Length of MA
- Length
- Upper bands of RSI
- Lower bands of RSI
- Take profit percentage
- Stop loss percentage
- Month to start and end the strategy (within 2020)
- Day to start and end the strategy (within 2020)
- Quantity type
- Slippage
- Pyramiding
***Remember that after the signal to enter or exit a trade is fired, the alert will trigger AFTER the close of the candle that caused the tigger to fire
Low volatility Buy w/ TP & SL (Coinrule)The compression of volatility usually leads to expansion. When the breakout comes, it can ignite strong trends. One way to catch a coin trading in an accumulation area is to spot three moving averages with values close to each other. The strategy uses a combination of Moving Averages to spot the best time to buy a coin before its breakout.
Buy Condition
The MA200 is greater than the MA100
The MA50 is greater than the MA100
According to backtesting results, the 1-hour time frame is the best to run this strategy.
Sell Condition
Take Profit: the price increases 8% from the entry price
Stop Loss: the price drops 4% from the entry price
The strategy has a profitability of 40-60% (depending on the market conditions). Having a ratio of two between Take profit and Stop Loss helps keeping the strategy profitable in the long term.
BNB Burn BuyerThis strategy is only meant to be used on BNB.
It's more of an inconclusive analysis of the effect of BNB's quarterly coin burn.
To date there have been 13 coin burns.
According to Binance's whitepaper, each quarter, they will burn BNB based on their trading volume until 50% of all BNB is burned. They eventually will destroy 100MM BNB, leaving 100MM BNB remaining.
Historically, coin burns for the 3rd quarter happen around October 17th-18th. So keep an eye out for those dates.
I built this strategy to run some experiments and test the fundamental effect a known coin burn has on the price. So far more testing is needed. So leave your insights and comments below!
Simple and efficient MACD crypto strategy with risk managementToday I am glad to bring you another great creation suited for crypto markets.
MARKET
Its a simple and efficient strategy, designed for crypto markets( btcusd , btcusdt and so on), and suited for for higher time charts : like 1hour, 4hours, 1 day and so on.
Preferably to use 1h time charts.
COMPONENTS
MACD with simple moving average
ENTRY DESCRIPTION
For entries we have :
We check the direction with MACD . Depending if its an uptrend and positive level on histogram of MACD we go long, otherwise we go short.
RISK MANAGEMENT
In this strategy we use a stop loss based on our equity. For this example I choosed a 2% risk .That means if our account has 100.000 eur, it will automatically close the trade if we lose 2.000.
We dont use a take profit level.
In this example also we use a 100.000 capital account, risking 5% on each trade, but since its underleveraged, we only use 5000 of that ammount on every trade. With leveraged it can be achieved better profits and of course at the same time we will encounter bigger losses.
The comission applied is 5$ and a slippage of 5 points aswell added.
For any questions or suggestions regarding the script , please let me know.
Super Guppy StrategyCM Super Guppy with Long/Short signals, backtesting, and additional options. Updated for PineScript v4.
COINBASE:BTCUSD
Features 2 primary modes, depending on your risk profile. These options are available in the settings:
"Early Signals" ON (default):
Prints a "long" on grey to green transitions AND red to gray transitions.
Prints a "short" on green to grey transitions AND gray to red transitions.
Will not print back-to-back repeated positions (i.e. green → grey → red will only print the first green → gray "short" signal and not print "short" twice).
Rotates long and short positions with no delay.
"Early Signals" OFF
Will close trades, but never open new ones, when guppy transitions to from any color to gray.
Open long: guppy transitions gray to green.
Close long: guppy transitions green to gray.
Open short: guppy transitions gray to red.
Close short: guppy transitions red to gray.
Does not rotate long and short positions back to back.
Additionally:
Can toggle on/off the 200EMA. Default is off.
Can toggle on/off short positions. Default is on.
In development: alerts
