ATR + %R Scalping StrategyThe Average True Range is a single line indicator that measures volatility. The indicator was originally developed by J. Welles Wilder to measure the volatility of commodities within the futures market.
ATR does not measure price trends or price direction hence %R and Parabolic SAR indicators were added.
The strategy enhances standard Average True Range and %R composition with trend confirmation and filters which clear out market noises and manipulations from triggers.
The strategy supports traditional and cryptocurrency spot, futures, options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 5 and 15 minutes timeframe charts and Limit orders.
The strategy can be and should be configured for each particular asset. You can change filters and risk management settings to receive the most advanced accurate alerts
Advantages of this script:
Strategy has high profit factor around 30.32
Backtests show high accuracy around 91.18%
High Net Profit percentage
Low Drawdowns
Weak signals are filtered
Dynamic Take profit and Stop loss
Fast deals around 50 minutes per trade
Can be applied to any market and quote currency
Easy to configure user interface
How to use?
1. Apply strategy to the trading pair your are interested in at 5m or 15m timeframe chart
2. Configure the strategy: change filters values and risk management settings until Strategy tester shows good results according to mathematical expectation
3. Set up a TradingView alert to trigger when strategy conditions are met
4. Strategy will send alerts when to enter and when to exit positions
Bitcoin (Kryptowährung)
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.
Scalping using RSI 2 indicator with TSLThis strategy implements a simply scalping using the RSI (calculated on two periods), the slopes of two MAs ( EMA or SMA ) having different lengths (by default, I use 50 and 200).
A trailing stop loss (%) is used.
Entry conditions:
.) Fast MA > Slow MA and Price > Slow MA and RSI < Oversold Threshold ------> go Long
.) Fast MA < Slow MA and Price < Slow MA and RSI > Overbought Threshold ------> go Short
Exit conditions:
.) Long entry condition is true and (close >= TP or close <= TSL ) ----> close short position
.) Short entry condition is true and (close <= TP or close >= TSL ) ----> close long position
The strategy performed best on Bitcoin and the most liquid and capitalized Altcoins but works excellent on volatile assets, mainly if they often go trending.
Works best on 3h - 4h time frame.
There's also an optional Volatility filter, which opens the position only if the difference between the two slopes is more than a specific value, which can be set in the study inputs. The purpose is not opening positions if the price goes sideways and the noise is way > than the signal.
Note:
.) the RSI length is 2;
.) the oversold Threshold is 90%;
.) the overbought Threshold is 10%;
.) by default, the trailing stop loss per cent is 1%;
.) by default, the fast MA length is 50;
.) by default, the slow MA length is 200;
.) by default, the MA used is EMA.
Cheers.
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.
KAMA Strategy - Kaufman's Adaptive Moving AverageThis strategy combines Kaufman's Adaptive Moving Average for entry with optional KAMA, PSAR, and Trailing ATR stops for exits.
Kaufman's Adaptive Moving Average is, in my opinion, a gem among the plethora of indicators. It is underrated considering it offers a solution that intuitively makes a lot of sense. When I first read about it, it was a real 'aha!' moment. Look at the top, pink line. Notice how during trending times it follows the trend quickly and closely, but during choppy, non-trending periods, the KAMA stays absolutely flat? Interesting! To trade with it, we simply follow the direction the KAMA is pointing. Is it up? Go long. Is it down? Go short. Is it flat? Hold on.
How does it manage to quickly follow real trends like a fast EMA but ignore choppy conditions that would whipsaw a fast EMA back and forth? It analyses whether recent price moves are significant relative to recent noise and then adapts the length of the EMA window accordingly. If price movement is big compared to the recent noise, the EMA window gets smaller. If price movement is relatively small or average compared to the recent noise, the EMA window gets bigger. In practice it means:
The KAMA would be flat if a 20 point upwards move occurred during a period that has had, on average, regular 20 point moves BUT
the KAMA would point up if a 20 point move occurred during a period that has, on average, had moves of only around 5 points.
In other words, it's a slow EMA during choppy flat / quiet flat periods, and a fast EMA as soon as significant volatility occurs. Perfect!
-----
The Strategy
The strategy is more than just a KAMA indicator. It contains:
KAMA exit (optional)
ATR trailing stop loss exit (optional)
PSAR stop loss exit (optional)
KAMA filter for entry and exits
All features are adjustable in the strategy settings
The Technical Details:
Check out the strategy's 'Inputs' panel. The buy and sell signals are based on the 'KAMA 1' there.
KAMA 1: Length -- 14 is the default. This is the length of the window the KAMA looks back over. In this instance, it c
KAMA 1: Fast KAMA Length -- 2 is the default. This is the tightest the EMA length is allowed to get. It will tend towards this length when volatility is high.
KAMA 1: Slow KAMA Length -- 20 is the default. This is the biggest the EMA length is allowed to get. It will tend towards this length when volatility is low.
KAMA Filter
The strategy buys when the KAMA begins to point up and sells when the KAMA points down. Generally, the KAMA is very good at filtering out the noise itself - it will go flat during noisy/choppy periods. But to add another layer of safety, its author, Perry Kaufman, proposed a KAMA filter. It works by taking the standard deviation of returns over the length of the the 'KAMA 1: Length' I mentioned above and multiplying it by an 'Entry Filter' (1 by default) and 'Exit Filter' (0.5 by default). The entry condition to go long is that the KAMA is pointing up and and it moved up more than 1 x St. Dev. of Returns. The exit condition is when the KAMA is pointing down and it moved down by more than 0.5 x St. Dev. of Returns.
Thanks
Thanks to ChuckBanger, cheatcountry, millerrh, and racer8 for parts of the code. I was able to build upon their good work.
-----
I hope this strategy is helpful to you.
Do you have any thoughts, ideas, or questions? Let me know in the comments or send me a message! I'd be glad to help you out.
If you need an indicator or strategy to be built or customised for you, let me know! I'll be glad to help and it'll probably be cheaper than you think!
[astropark] Trend Skywalker V1 [strategy]Dear Followers,
today another awesome Swing and Scalping Trading Strategy indicator: Trend Skywalker !
It shows a trend cloud that reacts very fast to price action, so it's perfect for trending markets: it helps a lot to find out
when a trend is going to end and a new is going to start
when to enter again within a trending market
where to put your stoploss
In this example below you can see the three points above:
In fact in a trending market it will highlight that:
price consolidation within the could is a trend weakening signal , so you can easily spot when a trend is going to end and a new is going to start
bullish/bearish trend cloud retests are nice opportunity to re-enter within a trending market, especially if cloud is thick
where to put your stoploss ( below the cloud and/or recent low in a buy scenario , above the cloud and/or recent high in a sell scenario )
This strategy/indicator has the following options:
change analysis window (the lower, the more reactive; the higher, the less reactive)
enable/disable signals on chart
enable/disable "more confirmations" signals filter
enable/disable bars and background coloring based on trend
enable/disable an automatic Trailing Stop strategy option (Automatic Stops)
enable/disable a peak profit tracker (the max percentage profit labels)
enable/disable highlights of trend cloud retests
enable/disable highlights of trend cloud price breakouts
Here below some examples how the indicator works on many markets and timeframe.
ETH/USD 4h
EUR/USD 15m
LTC/BTC 1h
This strategy only trigger 1 buy (where to start a long trade) or 1 sell (for short trade).
Keep in mind that proper risk management and money management strategies are very important to manage your trades (DM me if you need any clarification on these points).
This script will let you backtest the strategy performance over the backtesting period you set in input (it may be a lower period, depending on tradingview candles limitation related to your account).
The one for setting alarms can be found by searching for the astropark's "Trend Skywalker" and then choosing the indicator with "alarms" suffix in the name.
Strategy results are calculated on the time window from February 2018 to now, so about 3 years, using 10000$ as initial capital and working at 1x leverage (so no leverage at all! If you like to use leverage, be sure to use a safe option, like 2x or 3x at most in order to have liquidation price very far).
This is not the "Holy Grail", so use proper money and risk management strategies.
This is a premium indicator , so send me a private message in order to get access to this script.
trendOne [Strategy]BITSTAMP:BTCUSD
trendOne
(strategy-tester)
It is not recommended to use this script for generating alerts. Use "trendOne Alerts" instead.
This script combines all our previous trend-based scripts (Bows, Autopilot, Trend Indicator, Price Deviation, etc) in only one script .
To calculate the trend we use:
Volume Weight
Average True Range
Bows calculations
Trends smoothed with alma() function.
For more accuracy on the signals and to filter unwanted signals we layered slower time-frames in the background and added breaking support & resistance rules.
Inputs
Sensitivity
Integer input. Sets the sensitivity for signals generated up and down. Higher values will generate less signals on chart, and vice-versa.
Enjoy!
Disclaimer:
Back-tests do not guarantee performance on the future. Even if a trading setup is profitable in historical data, it could be unprofitable in the future.
To get access to this and other scripts check links below.
SmoothOps v1 - StrategyThe purpose of this script was to fine tune an indicator on BTCUSDT. I think the results speak for themselves.
This is a script that uses the MACD to predict future price movement. The original MACD signal lags too much for my taste so I went searching for something that could give signals sooner. I decided a smooth macd would help filter out noise and grabbing the highest values and lowest values over the past number of bars. I spent several days backtesting different settings and combinations of signals to arrive at what you see now. This strategy has been fine tuned for BTC/USDT on Binance, so I suggest you only use it for that. Any other coin/pair and exchange will need a new backtest since the data will be different. This is not a generalized indicator like everything else. It's specifically good at one thing: prediction BTCUSDT on Binance.
Use this in combination with the Study version so you can visually see what is happening when you change settings.
How to use:
Use only on BTCUSDT Binance
Set the preset to the timeframe you want. I HIGHLY suggest only using the 1h timeframe. It gives the best profit over time
Set the preset to custom if you want to try using your own settings.
You can change the source input if you want. ohlc4 usually works best for 1h
Change the date range if you want to do a specific timeframe.
Change the stop loss % if you want, but I didn't find much of a difference when using it on 1h
PROFIT MAKER |Crypto|ETH|BTC|YFIThis is a trend-following strategy that works very well for many Crypto assets in the usd or usdt pair
It can be used for both futures and spot!
Some of the assets in which this strategy is proven are
Asset Exchange TF
BINANCE:ADAUSDT Binance 45m
BINANCE:BTCUSDT Binance 1h
BINANCE:YFIUSDT Binance 30m
BINANCE:DOTUSDT Binance 45m
BINANCE:ETHUSDT Binance 30m
BINANCE:LINKUSDT Binance 45m
BINANCE:DOGEUSDT Binance 1h
And many others..
BINANCE:BTCUSDT
BINANCE:LINKUSDT
What is this strategy based on?
It is a combination of various parameters, including
-RSI: The relative strength index (RSI) is a momentum indicator used in technical analysis that measures
the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset.
-MACD: Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows
the relationship between two moving averages of a security’s price.
-ADX: ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time.
-DMI: DMI is a moving average of range expansion over a given period (the default is 14 days). The positive directional
movement indicator (+DMI) measures how strongly price moves upward; the negative directional movement indicator (-DMI)
measures how strongly price moves downward. The two lines reflect the respective strength of the bulls versus the bears.
Included:
Different forms of Take profit, included:
Take profit on squeeze candles
Take profit based on Risk-Benefit (RR)
Take profit a pre-determined %.
Different forms of Stop Loss, including
ATR-based stop loss
Trail stop loss (with option to use a trigger)
Stop loss a pre-determined %.
**All trades include 0.1% of fees + slippage
** The statistics displayed are for the year 01-01-2020 and the period from 2021 to the date of publication (14-01-2020)
For access you can send a message or consult in my social networks.
Links in my tradingview signature (below).
Scalping Strategy with SL and TP activation settingsThis strategy can be used on pretty much every timeframe that gives you a satisfying performance and will give you entries with a high probability of a winning trade.
Recommended are lower timeframes, because after all this is a scalping strategy and with that your chart wont be cluttered.
How to use this script?
Currently you can setup your positions SL and TP, because the markets vary in volatility it could improve the performance of the strategy.
You will simply get your signals and can decide to act upon them.
Stop loss: Simply your stop loss order which will trigger when price moves a given % away from your entry.
TP-Activation: When price reaches your % target it will trigger a stop limit order. So if price turns against your position after reaching your target it will close your position in profit and if it runs in your favoured direction it will trigger at a later stage.
Trailing-Offset-%: After reaching your % target it will trigger the TP order with an offset. So if you set your trailing offset to 0.1%, your TP order will be set behind 0.1 %. This can be used to test if the strategy would perform as well
if you leave more room for trades to play out.
Will this script make me profitable?
No strategy is a silver bullet and it depends mostly on you.
Trading is not easy and most people fail, because their risk management skills arent solid or they cant control their emotions.
This script will give you statistically often good entries, so even if you hit a losing streak your SL will protect you from losing more than necessary until you get a winning streak.
Patience and consistency is key to be profitable in the long run.
Does the script repaint?
Although you will get a notification when setting an alarm that the indicator may repaint, no security function is used and the signals will stay on the chart, because the signal is calculated based on the last candle close and will trigger with the next candle.
I am still looking into why that notification pops up.
You are free to try the indicator for a limited time to be sure.
My experience with the strategy
The overall statistical advantage is great. The strategy can be used simply as it is, but becomes better if you already have some experience with trading. Sometimes it will give you a good entry, reaches your target and the price still goes in your preferred direction. So your trading returns and experience could be improved with confluence, but it is totally fine as it is and if used right will help you get going.
Disclaimer: This is no financial advice. This is a tool and I am not responsible for your actions.
If you are interested in the indicator feel free to dm me on TradingView.
Quansium Series A BacktestThis comes with preconfigured setups or strategies. Simply choose one from our list based on the timeframe it was made for. Leverage can be changed; to keep trading safe, a maximum of 2 is allowed. In our findings, this was able to trade crypto (specifically BTC ), MES (Micro E-mini S&P 500 Index Futures ), and stocks. It is important to know that setups A, B, C, and D use variable position sizing, and dynamic stop loss/trailing stop/take profit, these parameters are provided through the alerts. The rest of the strategies were created with a simpler approach in mind, just plainly entry/exits signals.
Quansium as a framework:
Price reformat: we take the price source (Open, Close, High, Low) and remove any noise that affects the accuracy of our signals.
Time awareness: we take several time periods of the data on the chart such as start, end, and whole. We use this to add more depth to our signals.
Position size: our backtest tries to recreate as much as the real world trades as possible so our position is determined by the current equity. We also use the volatility of the market to increase or decrease our exposure or risk.
Risk awareness: stop loss, take profit, trailing stop are the risk exits we use to provide our users some peace of mind. These parameters are totally dynamic and follow the same behavior of the market.
Signals filtering: to make almost non-existent any errors and increase the quality of our trades, our indicators go through multiple phases, this avoid double entries or early exits, and help maintain a record of what has transpired and what’s currently taking place.
Indicators: whenever we can we use custom code or our own functions instead of the defaults ones provided. This gives us total control of what we’re trying to achieve. In many cases we tend to combine several indicators’ logic into one creating a more personalized take on it.
Easiness: since we started our main goal has been to provide the easiest and fastest way to alerts’ creation. It has taken us years to reach this level where now we already provide a list of preset strategies so the user doesn’t have to spend much time tinkering with scripts and more on other matters, because we know life is more than just trading.
Raw signals: we provide the option to turn off as much of our advanced features such as stop loss, take profit, trailing stop, dynamic sizing, etc, etc for a simple approach. Trade signals still go through the signals filtering method mentioned above,
Timeframe pairing: we take trading very seriously, by no way we’ll want the user to lose money (although such thing is expected because past results aren’t an indicative of futures ones), through years of experience we have found what are usually common mistakes the user makes, this feature allows us to only activate the strategy if the right timeframe is chosen.
Trend filters: through the years we have improved the arts of the trend. We like to keep things simple but yet powerful. We observe the macro and micro trend of the security. This helps confirm we are entering at the desirable timing. We also incorporate volume and volatility into decision making, we simply programmed it to trade when these are increasing and higher than the average values observed in both the short and long term. Finally we take into account the strength of the pair to make our final choice of whether to enter or wait, and if anything flashes contrary movement then we cancel the upcoming signal and stop monitoring until the next one comes along.
Full automated risk: stop loss, take profit, and trailing stops usually are set in percentages, and optimized even more using the current market behavior to become more adaptive. But always remains some sort of fixation, so the user must choose a value somewhere. This is where our framework shines the most, as previously mentioned before when we take time into our calculations, we use several periods to observe performance and get values that keep our risk exits natural and closest to the flow of the market itself.
Setups:
A: Centered oscillator with the difference of several moving averages with more sensitive settings. Momentum focused.
B: Centered oscillator using simple moving averages. Trend-Following focused.
C: Centered oscillator using smoothed data with the help of faster moving averages. Trend-Following focused.
D: Centered oscillator with the difference of several moving averages with less sensitive settings. Trend-Following focused.
E: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses less sensitive settings. Trend-Following focused.
F: Finds the relationship between multiple readings of the price’s relative strength to better pin-point downs and ups. Trend-Following focused.
G: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses more sensitive settings. Momentum focused.
H: Multiple centered oscillators using various moving averages. Trend-Following focused.
I: Centered oscillator using simple moving averages. Momentum focused.
Note: The framework is composed of almost 1000 lines of code as compared to each indicator that makes up the setup which is around 10. The power from Quansium doesn't come from the strategies themselves but rather the overall system that turns simple signals into complex and advanced trades.
Strategy Tester:
Initial Capital: chosen value is $20,000, as an approximate to Bitcoin’s ATH (All-Time High). In previous iterations we noticed some trades won’t go through if the capital was less than the ATH.
Order Size: 100% of equity (although the script controls this, and this is of no regards to the results).
Pyramiding: 1, system doesn’t place multiple entries in a row, only one at a time.
Commission: This simulates order execution with custom trading fees. Commissions are turned off by default because this script works in various markets and each operates differently. In order to reach results that are close to real world conditions, it is imperative the user fills this based upon their broker or exchange data.
When we started, we were focused on finding the best indicator, or creating it ourselves. After years we came to realize that the secret is not in which indicator you use but the framework behind it. All strategies have bad, good, best, worst performance periods. The key of a good system is to help keep you safe when it’s down and maximize your potential when it’s up. We hope this material at the very minimum inspires you to keep going and not lose faith, because it is not the smartest who win but those who persevere.
DD_ScalpDD_Scalp is a buy/sell trading strategy based on momentum from breakout levels. It works well on 1D and 4H timeframes. It is a helpful indicator for scalping short range profits on a daily basis or for booking profits in a high time frame setups such as those given by my DD_Echo indicator. It works for all major cryptos such as BTC, ETH, LINK, and other alts. It also works for forex.
If you want to access this, please DM me.
Profits Unlimited Pro Strategy** This is the backtesting (strategy) version of ~ Profits Unlimited Pro ~ proprietary script in TradingView. **
~ Profits Unlimited Pro Strategy ~
֎ Trading system script on tradingview that brings an easy approach to trading with a high profitability rate
֎ Our proprietary formula was developed over the course of the past two years through a combination of trial and error and algorithmic backtesting.
-- HOW IT WORKS --
֎ The algorithm starts with a proprietary script combining custom inputs with a formula that works with custom bollinger bands settings and specific RSI levels to results in deadly accurate signals for long and short entry points.
but that's not all...
֎ When we first developed our formula, we noticed that it produced a lot of accurate signals but also didn't fully understand the dynamics of market momentum and trending directions...
...so there were a lot of needless calls being made that were reducing profitability.
You see, most markets spend roughly 80% of the time trading sideways with no significant trend either up or down...
...And trading these sideways markets commonly result in what's called a "whipsaw"...
A whipsaw is when price is moving in one direction but then quickly pivots to move in the opposite direction resulting in a loss. And nobody wants to be stuck trading in a sideways market getting killed by whipsaws all day...
So what did we do to fix this?...
-- THE WINNING FORMULA --
֎ We added the Average Directional Index into our custom formula with a goal of teaching the algorithm to only trade during periods of strong momentum and trends whether up or down.
֎ We also added trend exhaustion levels to give clear indication for exit signals and help determine best times of getting out of a trade.
֎ Trend Exhaustion Levels work in conjunction with trailing stop loss % and both are customizable for ideal exits and profitability.
֎ The results are mind blowing!
-- WHO IT'S FOR --
֎ Optimized for crypto markets, to catch trend movements as soon as possible and maximize profitability
֎ It's A Swing Traders Dream.
-- What You Get --
֎ Sell & Buy alerts, Stop Loss alerts and always adding new features!
֎ Customizable settings.
֎ Chrome Extension in development for fine-tuning settings automatically(COMING SOON)
-You will be able to select an asset. push a button. and the extension will find the best settings for you!
֎ Users Facebook community for learning, sharing and direct support
If you’d like to test the trading script in TradingView, I can give you access to a 10 days trial.
Please send me PM in tradingview and I’ll activate it right away.
Thank you!
Companion::DivergentCompanion::Divergent is a combined indicators strategy optimized for Bitcoin Markets and tested on Bitfinex.
Mainly, it is an Ichimoku based strategy.
Used indicators:
- Ichimoku (displayed on chart): trendline analysis;
- Double Hull MA (displayed on chart): trendline analysis;
- MACD (not displayed): confirmative/momentum detection;
- CCI (not displayed): confirmative/momentum detection;
- ATR: used toghether with Ichimoku to determine Stop Loss/Take Profit levels;
- VWMA: For implementing trailing stop orders based on volumes.
What the script does:
- determines trendlines combining mulitple indicators;
- automaticlally calculates Take profit and Stop Loss levels;
- permits automation generating Autoview signals;
- supports for margin trading. Spot trading will be added in the future.
It can be used on 1D or 1H timeframes but it can be adapted for other time frames tweaking the parameters. I used it a lot on Bitfinex on 1H timeframes. Please check parameters: if you will use the strategy on D or higher timeframes, the "Legacy Chikou analysis" option should be checked.
BACKTESTING
Backtest is not leveraged. Defaults are set as follow:
Capital: 10000
Percent of equity used for trades: 10%
Commission: 0.18% this is Bitfinex commission on orders
Change them accordingly on how you trade to get a more realistic backtest results.
The WaveRider - Help me to exit position!Hello,
I always like to refer to my previous articles to allow people to understand where am I in terms of knowledge at the time when I write this article.
BTC and ETH Long strategy version 1
BTC and ETH Long strategy version 2
Although some part of my crypto trading is automated via HaasOnline software, I like to take discretionary trades to feel the excitement of manual trading, especially during bull market :).
I write this new article and script because I did struggle to decide when to exit a recent LONG position on Ethereum.
Most of the novice traders struggles to know when to exit the position when gains are made.
The is exactly what happens to many people trading cryptos in the beginning of this bull market.
We always want more, we want to ride the wave as much as possible.
We see the gains growing every day and don't want to exist the position because tomorrow will bring more gains.
Yes, but sometimes there is a small retracement, the price is bleeding slowly but we want to hold because the price will move UP again in one of two days.
So the big question is went to exit (or not).
This subject is a difficult one because we are humans and highly influenced by our psychology.
Depending on the mood we are in, we can take different decisions.
If we are not feeling good and we are not in good mood, we will probably close a winning position as soon as a retracement comes in to keep our gains because we see this retracement as something bad.
On the other side, if we feel good and are in a good mood that day, we might take to opposition decision and keep the trade running as we believe that this retracement is something healthy for the price to allow it to continue to move up.
For novice traders, these emotions can impact the way how we trade and create frustrations if we exit a position too soon or too late.
So, why not to let a script giving us advices on this decision? If we are not sure if we should exit or not, this script might help us to take a better decision.
I have named this script the "WaveRider" because it is supposed to be used during bull market only when the asset is moving up.
Best time frame to use with crypto such as Bitcoin and Ethereum are 2H, 4H and 6H candles.
Even if it can also give you entry points to open a trade, the goal of this script is more to give you exit points.
So, if you have opened a trade manually and you are wondering if this is the right time to close it, this script is made for you.
Technically, entry points are based on 2 Moving averages (slow and fast). We can enter in position when crossing over.
The Position can be closed if the same Moving averages are crossing down. In addition, it will exit if the price suddenly drops below the Moving average.
I know it sounds simple and stupid, but sometimes we don't ask ourselves the right questions when taking the decision to exit a position. So, this script will remind you the basic stuff to consider before closing your position.
I hope that such idea will help you to take good exit decisions in the future.
Let me know if you need more details or want to access it.
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.
Phenom 5.3.1This has been a private script until now. I will be sharing it in order to get some feedback until it is ready to be made "invite only"
WHAT IT IS:
This is a scalping method (mostly) that works on nearly all markets and timeframes. THIS IS A BACKTEST SCRIPT! PLAN ACCORDINGLY!
HOW IT WORKS:
This script uses common indicators (5) in non-standard ways. When combined together, they can give fairly accurate results (40-65%) with acceptable Profit Factor ratings (1.7-3+).
This uses CCI, Moving Average, Stochastic, PSAR, and Bollinger Bands.
With these we have 4 base strategies usable.
Each indicator can be disabled (one at a time).
Each indicator has a SL method (stackable).
Each indicator has a TP method (stackable).
BEST RESULTS:
I have received best results as a scalper on 5min or 1HR timeframes. Mostly used on Index CFD's and CRYPTO markets.
NOT RESPONSIBLE FOR MISUSE OR LOST FUNDS! D.Y.O.R
Bitcoin (BTC) Scalp / Short-term Short IndicatorThe purpose of this scalping Indicator is to help identifying Sell signals for short term trades on Bitcoin (Spot, Features, etc.) .
This script is working with more indicators and everything is balanced by hard work on (back)testing.
Result for users is a simple signal to SELL.
You can use it as easy indicator in your graph or create alerts.
I have the best results on 1min graph, with leverage and stop-loss feature.
This is my own version of scalping Sell Script / Indicator, which is a combination of few indicators, for example RSI , BB and price levels (actual and average) and works on standard candles.
SELL signal paints above the candle and you can set your target / trailing / stop-loss in the settings and check how it works in Strategy Tester.
Settings of this Indicator:
Take Profit
Stop Loss
Trailing Stop Loss
Trailing Stop Loss Offset
Initial Capital
Base Currency
Order size
Pyramiding
Commissions
Slippage
Average price lines (colors and visibility)
Plot background
These signals can be often observed at the beginning of a strong move, but there is a significant probability that these price levels will be revisited at a later point in time again.
Therefore these are interesting levels to place limit orders.
A Sell signal is defined as the last up candle before a sequence of down candles.
In my trading settings I have more but small positions, one safety limit order (for price averaging = better entry - easier close in profit) and stop-loss.
Sometimes trailing-profit feature have very nice profits.
Settings depends on your own money-management and free capital.
Don't ignore UP / DOWN trend. For UP trend I have an Indicator too (check my profile).
In addition to the upper/lower limits of each line, also average value is marked as this is an interesting area for price interaction and better view.
PM me to obtain access, more informations or support.
NOTICE: By requesting access to this script you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script.
Multi Time Frame Buy&Sell V4.0 [BACKTEST]Hi guys,this indicator Developed for Intraday and multi Time Frame Trading. Note: Invite only Script.Request to me Access permission to test this.
*** THIS IS STUDY VERSION ***
Time Frame : can use for 15 min / 30 min / 1h / 4h time
15 min configuration is best result for bitcoin and ethereum .
This can be used : Crypto Currency/ Bitcoins / ethereum ,Forex,currencies ,Index ,Commodity Gold / silver , Oil Market and in Equity / Futures
ETHUSDT Futures 15min
BTCUSDT Futures 15min:
GOLD /USD FOREX 15min:
HOW IT WORKS:
this indicator analyze EMA&SMA support and resistance then combine with pivot point and fibo levels is used to calculate the signals.and finally show entry label on
chart with target point and stop loss
HOW TO USE:
Creating a signal is as simple as adding the indicator called to your chart(buy or sell)label and background color change ( green=buy / red = sell)
green line is target and black line is stop loss.
in top of setting page you can see noise filter option . that can change it to get better result and reduce noise. in setting can set 3 target level and stoploss
NOT:all information show to info panel in chart.
strategy tester : enabled .All you can test this in live market in any segment.
NOT: can to change noise filter in setting setup until to get best result.
Choose any Date Month Year to Current Date and check the results below in the Strategy Tester.
REPAINT/NO REPAINT : No Repaint ,entery labal(buy or sell) and Background Color wont change. In the current candle position wait for the candle to close to see the
stability.
"Set alert": Select "Once per bar close" for your alert options.
There are 5 alerts:
- BUY
- SELL
- BUY OR SELL (for free TV users)
- take profit
- stop loss
Review and Feedback.Thank you!
Any issues report to me to Fix.Thank you!
how To Get access : Use the link below to obtain access to this indicator or PM us to obtain access.
Bitcoin (BTC) Scalp / Short-term Long IndicatorThe purpose of this scalping Indicator is to help identifying Buy signals for short term trades on Bitcoin (Spot, Features, etc.) .
This script is working with more indicators and everything is balanced by hard work on (back)testing.
Result for users is a simple signal to BUY .
You can use it as easy indicator in your graph or create alerts.
I have the best results on 1min graph, with leverage and stop-loss feature.
This is my own version of scalping Buy Script / Indicator, which is a combination of few indicators, for example RSI, BB and price levels (actual and average) and works on standard candles .
LONG signal paints below the candle and you can set your target / trailing / stop-loss in the settings and check how it works in Strategy Tester .
Settings of this Indicator:
Take Profit
Stop Loss
Trailing Stop Loss
Trailing Stop Loss Offset
Initial Capital
Base Currency
Order size
Pyramiding
Commissions
Slippage
Average price lines (colors and visibility)
Plot background
These signals can be often observed at the beginning of a strong move, but there is a significant probability that these price levels will be revisited at a later point in time again.
Therefore these are interesting levels to place limit orders.
A Buy signal is defined as the last down candle before a sequence of up candles.
In my trading settings I have more but small positions, one safety limit order (for price averaging = better entry - easier close in profit) and stop-loss.
Sometimes trailing-profit feature have very nice profits.
Settings depends on your own money-management and free capital.
In addition to the upper/lower limits of each line, also average value is marked as this is an interesting area for price interaction and better view.
PM me to obtain access, more informations or support.
NOTICE: By requesting access to this script you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script.
IBVOL SignalsThis indicator can be used for swing algorithmic trading. It will give Buy and Sell signals on the chart based on concepts of volatility and momentum.
This works for the IBVOL-USD token on FTX exchange.
Value for the traders: During periods of sideways price action by BTCUSD, the value of IBVOL will go up and the indicator will give a buy signal and traders will profit if they buy the token. Just before an impending volatility, such as spike of BTC price, it will signal a sell, so traders can sell this token and reinvest their profits in BTC trade.
The strategy has so far had 100% hit rate, with very low drawdown (0.01%), and high profit factor of 2176.
For access please contact me via DM on TradingView.
Swing Algo V1.3An upgrade of Swing Algo V1.2 to reduce chop heavily, used for trading ETH. For differences to other versions, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe. Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much. For other assets and/or timeframes it is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm. You don't need any programming skills or similar abilities to navigate this indicator.
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-3 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months (as witnessed in 2020), the order of magnitude of the shown results is still realistic for long-term trend trading efforts. Do not expect these results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
Within this indicator you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 2 ticks (= $0.02) and a trading fee of 0.26 % (which is the worst taker fee on the Kraken exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Keep this in mind when evaluating the backtest data. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to other versions:
- Changed from a dual (V1, V1.1) to a single smoothing function system (V1.2, V1.3), which can react better to more sudden price movements that got prevalent during the current end-phase of the stock bullmarket due to correlations, while still handling 'normal' price action well
- Changed the oscillator part of the algorithm again with one that handles chop for the ETH/USD trading pair extremely well.
- Improved net profits by potentially +100% in comparison to V1 for ETH/USD on daily timeframe
- However for other assets (e.g. BTC and smaller coins like XTZ and ALGO) and timeframes V1 might perform better than V1.3 due to somewhat different characteristic price action. I leave you with all options to play so that you can find the best solution for a given trading pair.
- There's also a previous version called Swing Algo V1.2 considered the go-to algo at the moment, which works similar to V1.3, but operates a bit less tight, leading to more flexibility while suppressing chop not as much as V1.3.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
Swing Algo V1.2The next upgrade in the 'Swing Algo V1.x' series, and the go-to algorithm for trading ETH (until further notice). For differences to other versions, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe. Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much. For other assets and/or timeframes it is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm. You don't need any programming skills or similar abilities to navigate this indicator.
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-3 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months (as witnessed in 2020), the order of magnitude of the shown results is still realistic for long-term trend trading efforts. Do not expect these results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
Within this indicator you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 2 ticks (= $0.02) and a trading fee of 0.26 % (which is the worst taker fee on the Kraken exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Keep this in mind when evaluating the backtest data. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to other versions:
- Changed from a dual (V1, V1.1) to a single smoothing function system (V1.2, V1.3), which can react better to more sudden price movements that got prevalent during the current end-phase of the stock bullmarket due to correlations, while still handling 'normal' price action well
- Changed the oscillator part of the algorithm with a better suited one (at least) for the ETH/USD trading pair, handling chop better.
- Improved net profits by potentially +100% in comparison to V1 for ETH/USD on daily timeframe
- However for other assets (e.g. BTC and smaller coins like XTZ and ALGO) and timeframes V1 might perform better than V1.2 due to somewhat different characteristic price action. I leave you with all options to play so that you can find the best solution for a given trading pair.
- There's also an upgrade called Swing Algo V1.3, which works similar to V1.2, but reduces losses due to chop even further. Because V1.2 is a bit more flexible, it is, however, considered the go-to algo for the time being.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
