Wunder Trend Reversal botWunder Trend Reversal bot
1. Wunder Trend Reversal Bot - this has only one goal to find a reversal of the trend.
2. The strategy determines, based on the specified value for the filter, a market reversal based on the price actions of the previous bars.
3. A short EMA is used to filter false signals after the reversal signal was received. Crossing the EMA and changing its direction confirms the trend change.
4. There are 2 ways to calculate stop loss and take profit. You can choose one of them:
- Classic stop loss and take profit in a fixed percentage
- ATR stop loss and take pro
5. ATR uses risk reward (R:R) to calculate take profit. The script calculates the risk-reward based on a certain stop loss level and uses it to calculate the take profit
6. A function for calculating risk on the portfolio (your deposit) has been added to the script. When this option is enabled, you get a calculation of the entry amount in dollars relative to your Stop Loss. In the settings, you can select the risk percentage on your portfolio. The loss will be calculated from the amount that will be displayed on the chart.
For example. Deposit - $1000, you set the risk to 1%. SL 5%. Entry volume will be $200. The loss at SL will be $10.10$ this is your 1% risk or 1% of the deposit.
Important! The risk per trade must be less than the Stop Loss value. If the risk is greater than SL, then you should use leverage.
The amount of funds entering the trade is calculated in dollars. This option was created if you want to send the dollar amount from Tradingview to the exchange. However, putting your volume in dollars you get the incorrect net profit and drawdown indication in the backtest results, as TradingView calculates the backtest volume in contracts.
To display the correct net profit and drawdown values in Tradingview Backtest results, use the ”Volume in contracts” option.
Trend Analizi
Fast EMA above Slow EMA with MACD (by Coinrule)An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average . An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average ( SMA ), which applies an equal weight to all observations in the period.
Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA .
The result of that calculation is the MACD line. A nine-day EMA of the MACD called the "signal line," is then plotted on top of the MACD line, which can function as a trigger for buy and sell signals. Traders may buy the coin when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line. Moving average convergence divergence ( MACD ) indicators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls.
The Strategy enters and closes the trade when the following conditions are met:
LONG
The MACD histogram turns bullish
EMA8 is greater than EMA26
EXIT
Price increases 3% trailing
Price decreases 1% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include AXSUSDT on the 5-minute timeframe. This short timeframe means that this strategy opens and closes trades regularly.
Additionally, the trailing stop loss and take profit conditions can also be changed to match your needs.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
ETHUSDT Long-Short using EMA,OBV,ADX,LinearReg,DXY(No repaint)This script strategy is used to follow the trending EMA with a delta difference (Price-EMA) to know when to enter and with 5 variables mentioned below, stop loss is below EMA line all the time in long and above EMA line in short, is like a trailing stop after candle is closed. Hard stop is also placed to prevent big candles movements, also correlation between VIX and ETH when the correlation is <-0.2 the position can be opened.
Indicators used:
EMA , OBV , ADX , Linear regression and Dollar Index trending, Leverage is available for Long and Short positions.
LONG
When Price is above EMA and price-ema difference is smaller than "Long delta Price/MA"
OBV(4hrs) is above OBV-EMA(110)
Linear regression is strong
ADX is strong >50
DXY is trending down
SHORT
When Price is below EMA and ema-price difference is smaller than "Long delta Price/MA"
OBV(4hrs) is below OBV-EMA(110)
Linear regression is weak
ADX is weak <50
DXY is trending up
BINANCE:ETHUSDT 30 minutes Timeframe
US Market Balance of Power Heikin Ashi Swing StrategyThis is a swing strategy, using the power of correlation, mainly designed for an investment approach for the US Market.
It uses the original OBV formula, which has been adapted to monthly heikin ashi candles values, which are taken from the correlated asset, in this case we are using QQQ chart for testing, but internally we are using the logic from SPY chart for calculations.
Once we that value, we make a moving average of it with the length of half of a year to have an idea about the overall price trend during that period of time.
After that, we are going to apply a percentile formula for the OBV value, and we are going to look for the percentile near 100th rank of the entire history of that data.
Finally once we have the top percentile values, we are going to create different formulas for long and short entries:
Short Entry/ Long exit = Current top percentile is higher than the previous top percentile value
Long Entry/ Short Exit = Current obv value is negative and the top percentile is smaller than the previous one or we are near the top values for the OBV oscillators ( crossing upwards previous candle/downwards current candle)
The strategy has been tested using 25% of the entire initial capital available in order to have an idea about the compound effect over the entire history of time which was selected.
From the test which can determine, that on average when we have strong bullish trends, the initial buy n hold strategy outperforms us, however the strategy is definitely a winner when there are side market/ bearish periods of time since it will help cut losses during these periods.
If you have any questions, please let me know !
Trend Following based on Trend ConfidenceThis is a Trend Following strategy based on the Trend Confidence indicator.
The goal of this strategy is to be a simple Trend Following strategy, but also to be as precise as possible when it comes to the question 'how confident are we that a linear trend is ongoing?'. For this we calculate the 'confidence' of a linear trend in the past number of closing prices. The idea of this strategy is that past a certain confidence, the ongoing linear trend is more likely to continue than not.
Trend Confidence:
The Trend Confidence shows us how strong of a linear trend the price has made in the past number (given by Length parameter) of closing prices. The steepness of the price change makes the Trend Confidence more extreme (more positive for an uptrend or more negative for a downtrend), and the deviation from a straight line makes the Trend Confidence less extreme (brings the confidence closer to 0). This way we can filter out signals by wild/sudden price moves that don't follow a clear linear trend.
Math behind the Trend Confidence:
A linear fit is made on the past number of closing prices, using Ordinary Linear Regression. We have the steepness of the linear fit: b in y=a+bx . And we have the standard deviation of the distances from the closing prices to the linear fit: sd . The Trend Confidence is the ratio b/sd .
Entries and Exits:
For entry and exit points we look at how extreme the Trend Confidence is. The strategy is based on the assumption that past a certain confidence level, the ongoing linear trend is more likely to continue than not.
So when the Trend Confidence passes above the 'Long entry" threshold, we go Long. After that when the Trend Confidence passes under the 'Long exit' threshold, we exit. The Long entry should be a positive value so that we go Long once a linear uptrend with enough confidence has been detected.
When the Trend Confidence passes below the 'Short entry' threshold, we go Short. After that when the Trend Confidence passes above the 'Short exit' threshold, we exit. The Short entry should be a negative value so that we go Short once a linear downtrend with enough confidence has been detected.
Default Parameters:
The strategy is intended for BTC-USD market, 4 hour timeframe. The strategy also works on ETH-USD with similar parameters.
The Length is arbitrarily set at 30, this means we look at the past 30 closing prices to determine a linear trend. Note that changing the length will change the range of Trend Confidence values encountered.
The default entry and exit thresholds for Longs and Shorts do not mirror each other. This is because the BTC-USD market goes up more heavily and more often than it goes down. So the ideal parameters for Longs and Shorts are not the same.
The positive results of the strategy remain when the parameters are slightly changed (robustness check).
The strategy uses 100% equity per trade, but has a 10% stop loss so that a maximum of 10% is risked per trade.
Commission is set at 0.1% as is the highest commission for most crypto exchanges.
Slippage is set at 5 ticks, source for this is theblock.co.
Ichimoku Cloud with MACD and Trailing Stop Loss (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 12-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
This strategy combines the Ichimoku Cloud with the MACD indicator to better enter trades.
Long/Exit orders are placed when three basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
MACD line crosses over the signal line
Exit Position:
Price increases 3% trailing
Price decreases 3% trailing
The script is backtested from 1 June 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Extended Recursive Bands StrategyThe original indicator was created by alexgrover .
All credit goes to alexgrover for creating the indicator that this strategy uses.
This strategy was posted because there were multiple requests for it, and no strategy based on this indicator exists yet.
The Recursive Bands Indicator, an indicator specially created to be extremely efficient, I think you already know that calculation time is extra important in algorithmic trading, and this is the principal motivation for the creation of the proposed indicator. Originally described in Alex's paper "Pierrefeu, Alex (2019): Recursive Bands - A New Indicator For Technical Analysis", the indicator framework has been widely used in his previous uploaded indicators, however it would have been a shame to not upload it, however user experience being a major concern for me, I decided to add extra options, which explain the term "extended".
The Indicator
The indicator displays one upper and one lower band, every common usages applied to bands indicators such as support/resistance , breakout, trailing stop, etc, can also be applied to this one. Length controls how reactive the bands are, higher values will make the bands cross the price less often.
In order to provide more flexibility for the user alexgrover added the option to use various methods for the calculation of the indicator, therefore the indicator can use the average true range , standard deviation, average high-low range, and one totally exclusive method specially designed for this indicator.
Added logic:
We have implemented a logic that checks whether the bands have been following in the same direction for a set amount of bars. This logic must be true before it can enter trades. This is completely new code that was written by us entirely, and it makes a huge difference on strategy performance.
Strategy Long conditions:
1 — Price low is below the the lower band.
2 — The lower band keeps increasing in value until the 'lookback' setting amount of bars is reached.
Strategy Short conditions:
1 — Price high is above the upper band.
2 — The upper band keeps decreasing in value until the 'lookback' setting amount of bars is reached.
Strategy Properties:
We have set a default commission of 0.06% because these are Bybit's fees. The strategy uses an order size of 10% of equity, since drawdown is very low like this. We also use a 10 tick slippage to keep results realistic and account for this. All other settings were left as default apart from initial capital, just to decrease the size of the numbers.
Macro Score -- User-Customized Scores and SignalsA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger. This particular strategy allows the user to choose between 18 different signals to be used in scoring as well as allowing the user to determine the individual weights of each score as well as the overall threshold to determine long or short signals. Weights for each score range between 1 and 5, with 5 being the greatest weight. The overall threshold for long or short is dependent on the total possible weights added together (i.e. if your weights total -10 or +10, a threshold within this range must be used).
The macro score itself is printed in an underlay as a white line that goes between the maximum positive and negative values for all weights added together for this strategy. In addition to the macro score line, a green momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score. The length of the Macro Score's momentum line can be found in the settings.
The current signals to choose from include:
- ADX Threshold - if the Average Directional Index is above a set threshold, signal positive or negative
- CMF Threshold - if the Chaikin Money Flow oscillator is above 0, signal positive; otherwise, signal negative
- CMO > TSI Signal - signal positive if there is a cross of the Chande Momentum Oscillator and the True Strength Index signal line
- CMO Threshold - if the Chande Momentum Oscillator is above 0, signal positive; otherwise, signal negative
- DPO Threshold - if the Detrended Price Oscillator is above 0, signal positive; otherwise, signal negative
- EOM Threshold - if the Ease of Money Oscillator is above 0, signal positive; otherwise, signal negative
- Jurik Threshold - if the Jurik price line (from the Jurik Volatility Bands) is above 0, signal positive; otherwise, signal negative
- MACD Threshold - if the MACD signal line is above 0, signal positive; otherwise, signal negative
- McGinley Cross - a crossover of a fast McGinley Dynamic length line and a slow McGinley Dynamic line signals positive; otherwise, signal negative
- PSAR - if the direction of the PSAR is heading long, signal positive; otherwise, signal negative
- ROC Threshold - if the Rate of Change oscillator is above 0, signal positive; otherwise, signal negative
- RSI Threshold - if the Relative Strength Index is above 50, signal positive; otherwise, signal negative
- Stoch RSI Threshold - if the Stoch RSI is above 50, signal positive; otherwise, signal negative
- Supertrend - if the Supertrend determines long, signal positive; otherwise, signal negative
- TSI Cross - a crossover of the True Strength Index value line and the TSI signal line signals positive; otherwise, signal negative
- TSI Signal Threshold - if the TSI signal line is above 0, signal positive; otherwise, signal negative
- Williams Alligator Cross - if the Williams Alligator lips cross the teeth and jaw, signal positive; otherwise, signal negative
- Williams %R - if the Williams %R is above -50, signal positive; otherwise, signal negative
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Sample setup for SOLUSDT 30M:
- Score 1 - Value 4, PSAR (0.05 start, 0.02 increment, 0.2 max value; sourced open)
- Score 2 - Value 4, Jurik Threshold (JVB Length 25, JVB Smoothing 6, JVB Price Threshold 0)
- Score 3 - Value 5, DPO Threshold (DPO Length 40, uncentered)
- Score 4 - Value 5, CMO Threshold (CMO Length 40, sourced open)
- Score 5 - Value 2, MACD Threshold (Fast Length 12, Slow Length 30, sourced open)
- Macro Length 21
- Long Threshold - -3
- Short Threshold - +3
- Take Profit % - 0.9/0.9
- Trail % - 0.005
- Stop Loss % - 1.4
Sample setup for AVAXUSDT 20M:
- Score 1 - Value 3, TSI Cross (Long Length 25, Short Length 16, Signal Length 17)
- Score 2 - Value 2, TSI Signal Threshold (same settings as the TSI Cross)
- Score 3 - Value 2, Jurik Threshold (JVB Length 20, JVB Smoothing 8, JVB Price Threshold 0)
- Score 4 - Value 2, DPO Threshold (DPO Length 40, uncentered)
- Score 5 - Value 1, Stoch Threshold (K/D 3, RSI (Stoch) Length 10, Stochastic Length 4, sourced open)
- Macro Length 13
- Long Threshold - +5
- Short Threshold - -5
- Take Profit % - 1.2/1.2
- Trail % - 0.005
- Stop Loss % - 1.5
Cipher_B (Finandy support)In this version of the script you can force to cancel your position after some amount of time indepedently on price action. For example, your bot open a short position with SL=1% and TP=2.4% but price did not reach any of this level over the course of to say 8 hours. In this case, position will be closed regardless of the price.
Other interesting features are volume and slope filters. Slope is essentially a derivative of price action. If you don't like to buy your instrument under high volatility, for example, if a trend goes down too fast then you can filter long position which could be opened according to the strategy. Same thing for volume filter. If the volume is too high/too low, you might want to escape such setup in your trading strategy.
Moreover, you can tune price shift for opening position. To say, if you believe that the signal for opening position comes too early everytime, you can force the strategy to buy at 1% lower price than the current price when the signal comes. Similar logic for short: open position price will be always higher than the price of the signal. If the price did not reach such level then position will be automatically cancel with a new signal arrival. Check the backtesting results to understand better the logic.
Rob Booker Reversal Tabs StrategyRob Booker Reversal Tabs Strategy is an updated version of Rob Bookers Reversal Tab study: Rob Booker Reversal Tabs
While the original is a Pinescript study, this version can be switched between strategy and indicator mode.
Rob Bookers script generates reversal signal based on MACD and Stochastics, it is not a true reversal system, default pyramiding value is set to 5.
Inputs determine MACD and Stochastics settings. The only additional input is the "Strategy Mode" checkbox.
This script works well on its own for some tickers, but like any reversal pattern generating scripts, traders will profit from looking at overall price action and trend strength before making a trade.
From the original:
A simple reversal pattern indicator that uses MACD and Stochastics.
Created by Rob Booker and programmed by Andrew Palladino.
Please note that I only updated the original to V5 and edited it to be a strategy, which was a grand total of 5 minutes of work. I updated it because I wanted to see how the script performs as a strategy and I'm publishing it in case others would like to use it. I take no credit whatsoever for the original and WILL take this version down if Rob Booker or his Team ask me to or decide to release their own strategy version of the original.
Check out Rob Bookers scripts and ideas on his Tradingview account: robbooker
Ultimate Strategy Template (Advanced Edition)Hello traders
This script is an upgraded version of that one below
New features
- Upgraded to Pinescript version 5
- Added the exit SL/TP now in real-time
- Added text fields for the alerts - easier to send the commands to your trading bots
Step 1: Create your connector
Adapt your indicator with only 2 lines of code and then connect it to this strategy template.
For doing so:
1) Find in your indicator where are the conditions printing the long/buy and short/sell signals.
2) Create an additional plot as below
I'm giving an example with a Two moving averages cross.
Please replicate the same methodology for your indicator wether it's a MACD , ZigZag , Pivots , higher-highs, lower-lows or whatever indicator with clear buy and sell conditions.
//@version=5
indicator(title='Moving Average Cross', shorttitle='Moving Average Cross', overlay=true, precision=6, max_labels_count=500, max_lines_count=500)
type_ma1 = input.string(title='MA1 type', defval='SMA', options= )
length_ma1 = input(10, title=' MA1 length')
type_ma2 = input.string(title='MA2 type', defval='SMA', options= )
length_ma2 = input(100, title=' MA2 length')
// MA
f_ma(smoothing, src, length) =>
rma_1 = ta.rma(src, length)
sma_1 = ta.sma(src, length)
ema_1 = ta.ema(src, length)
iff_1 = smoothing == 'EMA' ? ema_1 : src
iff_2 = smoothing == 'SMA' ? sma_1 : iff_1
smoothing == 'RMA' ? rma_1 : iff_2
MA1 = f_ma(type_ma1, close, length_ma1)
MA2 = f_ma(type_ma2, close, length_ma2)
// buy and sell conditions
buy = ta.crossover(MA1, MA2)
sell = ta.crossunder(MA1, MA2)
plot(MA1, color=color.new(color.green, 0), title='Plot MA1', linewidth=3)
plot(MA2, color=color.new(color.red, 0), title='Plot MA2', linewidth=3)
plotshape(buy, title='LONG SIGNAL', style=shape.circle, location=location.belowbar, color=color.new(color.green, 0), size=size.normal)
plotshape(sell, title='SHORT SIGNAL', style=shape.circle, location=location.abovebar, color=color.new(color.red, 0), size=size.normal)
/////////////////////////// SIGNAL FOR STRATEGY /////////////////////////
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title='🔌Connector🔌', display = display.data_window)
Basically, I identified my buy, sell conditions in the code and added this at the bottom of my indicator code
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title="🔌Connector🔌", transp=100)
Important Notes
🔥 The Strategy Template expects the value to be exactly 1 for the bullish signal, and -1 for the bearish signal
Now you can connect your indicator to the Strategy Template using the method below or that one
Step 2: Connect the connector
1) Add your updated indicator to a TradingView chart
2) Add the Strategy Template as well to the SAME chart
3) Open the Strategy Template settings and in the Data Source field select your 🔌Connector🔌 (which comes from your indicator)
From then, you should start seeing the signals and plenty of other stuff on your chart
🔥 Note that whenever you'll update your indicator values, the strategy statistics and visual on your chart will update in real-time
Settings
- Color Candles: Color the candles based on the trade state ( bullish , bearish , neutral)
- Close positions at market at the end of each session: useful for everything but cryptocurrencies
- Session time ranges: Take the signals from a starting time to an ending time
- Close Direction: Choose to close only the longs, shorts, or both
- Date Filter: Take the signals from a starting date to an ending date
- Set the maximum losing streak length with an input
- Set the maximum winning streak length with an input
- Set the maximum consecutive days with a loss
- Set the maximum drawdown (in % of strategy equity)
- Set the maximum intraday loss in percentage
- Limit the number of trades per day
- Limit the number of trades per week
- Stop-loss: None or Percentage or Trailing Stop Percentage or ATR - I'll add shortly multiple options for the trailing stop loss
- Take-Profit: None or Percentage or ATR - I'll add also a trailing take profit
- Risk-Reward based on ATR multiple for the Stop-Loss and Take-Profit
Special Thanks
Special thanks to @JosKodify as I borrowed a few risk management snippets from his website: kodify.net
Best
Dave
Strategy Myth-Busting #20 - HalfTrend+HullButterfly - [MYN]#20 on the Myth-Busting bench, we are automating the " I Found Super Easy 1 Minute Scalping System And Backtest It 100 Times " strategy from " Jessy Trading " who claims 30.58% net profit over 100 trades in a couple of weeks with a 51% win rate and profit factor of 1.56 on EURUSD .
This one surprised us quite a bit. Despite the title of this strategy indicating this is on the 1 min timeframe, the author demonstrates the backtesting manually on the 5 minute timeframe. Given the simplicity of this strategy only incorporating a couple of indicators, it's robustness being able to be profitable in both low and high timeframes and on multiple symbols was quite refreshing.
The 3 settings which we need to pay most attention to here is the Hull Butterfly length, HalfTrend amplitude and the Max Number Of Bars Between Hull and HalfTrend Trigger. Depending on the timeframe and symbol, these settings greatly impact the performance outcomes of the strategy. I've listed a couple of these below.
And as always, If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
This strategy uses a combination of 3 open-source public indicators:
Hull Butterfly Oscillator by LuxAlgo
HalfTrend by Everget
Trading Rules
5 min candles but higher / lower candles work too.
Stop loss at swing high/low
Take Profit 1.5x the risk
Long
Hull Butterfly gives us green column, Wait for HalfTrend to present an up arrow and enter trade.
Short
Hull Butterfly gives us a red column , Wait for HalfTrend to present a down arrow and enter trade.
Alternative Trading Settings for different time frames
1 Minute Timeframe
Move the Hull Butterfly length from the default 11 to 9
Move the HalfTrend Amplitude from the default 2 to 1
Enabling ADX Filter with a 25 threshold
2 Hour Timeframe
Move the HalfTrend Amplitude from the default 2 to 1
Laddered Take Profits from 14.5% to 19% with an 8% SL
LuxAlgo - Backtester (S&O)The S&O Backtester is an innovative strategy script that encompasses features + optimization methods from our Signals & Overlays™ toolkit and combines them into one easy-to-use script for backtesting the most detailed trading strategies possible.
Our Signals & Overlays™ toolkit is notorious for its signal optimization methods such as the 'Optimal Sensitivity' displayed in its dashboard which provides optimization backtesting of the Sensitivity parameter for the Confirmation & Contrarian Signals.
This strategy script allows even more detailed & precise backtests than anything available previously in the Signals & Overlays™ toolkit; including External Source inputs allowing users to use any indicator including our other paid toolkits for take profit & stop loss customization to develop strategies, along with 10+ pre-built filters directly Signals & Overlays™' features.
🔶 Features
Full Sensitivity optimization within the dashboard to find the Best Win rates or Best Profits.
Counter Trade Mode to reverse signals in undesirable market conditions (may introduce higher drawdowns)
Built-in filters for Confirmation Signals w/ Indicator Overlays from Signals & Overlays™.
Built-in Confirmation exit points are available within the settings & on by default.
External Source Input to filter signals or set custom Take Profits & Stop Losses.
Optimization Matrix dashboard option showing all possible permutations of Sensitivity.
Option to Maximize for Winrate or Best Profit.
🔶 Settings
Sensitivity signal optimizations for the Confirmation Signals algorithm
Buy & Sell conditions filters with Indicator Overlays & External Source
Take Profit exit signals option
External Source for Take Profit & Stop Loss
Sensitivity ranges
Backtest window default at 2,000 bars
External source
Dashboard locations
🔶 Usage
Backtests are not necessarily indicative of future results, although a trader may want to use a strategy script to have a deeper understanding of how their strategy responds to varying market conditions, or to use as a tool for identifying possible flaws in a strategy that could potentially be indicative of good or bad performance in the future.
A strategy script can also be useful in terms of it's ability to generate more complete & configurable alerts, giving users the option to integrate with external processes.
In the chart below we are using default settings and built-in optimization parameters to generate the highest win rate.
Results like the above will vary & finding a strategy with a high win rate does not necessarily mean it will persist into the future, however, some indications of a well-optimized strategy are:
A high number of closed trades (100+) with a consistently green equity curve
An equity curve that outperforms buy & hold
A low % max drawdown compared to the Net Profit %.
Profit factor around 1.5 or above
In the chart below we are using the Trend Catcher feature from Signals & Overlays™ as a filter for standard Confirmation Signals + exits on a higher timeframe.
By filtering bullish signals only when the Trend Catcher is bullish, as well as bearish signals for when the Trend Catcher is bearish, we have a highly profitable strategy created directly from our flagship features.
While the Signals & Overlays features being used as built-in filters can generate interesting backtests, the provided External Sources can allow for even more creativity when creating strategies. This feature allows you to use many indicators from TradingView as filters or to trigger take-profit/stop-loss events, even if they aren't from LuxAlgo.
The chart below shows the HyperWave Oscillator from our Oscillator Matrix™ being used for take-profit exit conditions, exiting a long position on a profit when crossing 80, and exiting a short position when crossing 20.
🔶 Counter Trade Mode
Our thesis has always firmly remained to use Confirmation Signals within Signals & Overlays™ as a supportive tool to find trends & use as extra confirmation within strategies.
We included the counter-trade mode as a logical way to use the Confirmation signals as direct entries for longs & shorts within more contrarian trading strategies. Many traders can relate to using a trend-following indicator and having the market not respect its conditions for entries.
This mode directly benefits a trader who is aware that market conditions are generally not-so-perfect trends all the time. Acknowledging this, allows the user to use this to their advantage by introducing countertrend following conditions as direct entries, which tend to perform very well in ranging markets.
The big downfall of using counter-trade mode is the potential for very large max-drawdowns during trending market conditions. We suggest for making a strategy to consider introducing stop-loss conditions that can efficiently minimize max-drawdowns during the process of backtesting your creations.
Sensitivity Optimization
Within the Signals & Overlays™ toolkit, we allow users to adjust the Confirmation Signals with a Sensitivity parameter.
We believe the Sensitivity paramter is the most realistic way to generate the most actionable Confirmation Signals that can navigate various market conditions, and the Confirmation Signals algorithm was designed specifically with this in mind.
This script takes this parameter and backtests it internally to generate the most profitable value to display on the dashboard located in the top right of the chart, as well as an optimization table if users enable it to visualize it's backtesting.
In the image below, we can see the optimization table showing permutations of settings within the user-selected Sensitivity range.
The suggested best setting is given at the current time for the backtesting window that's customizable within the indicator. Optimized settings for technical indicators are not indicative of future results and the best settings are highly likely / guaranteed to change over time.
Optimizing signal settings has become a popular activity amongst technical analysts, however, the real-time beneficial applications of optimizing settings are limited & best described as complicated (even with forward testing).
🔶 Strategy Properties (Important)
We strongly recommend all users to ensure they adjust the Properties within the script settings to be in line with their accounts & trading platforms of choice to ensure results from strategies built are realistic.
🔶 How to access
You can see the Author's Instructions below to learn how to get access on our website.
Crypto Tipster v2---------------------
Crypto Tipster v2
Hello again! We're back with a drastically improved Crypto Tipster v2 Indicator using over a dozen all new algorithms based around Technical Analysis, Price Action, Momentum Swings and Reversal Detection.
We've taken our time with version 2 of Crypto Tipster, putting all our best practices to work and ensuring it performs superbly across numerous crypto markets and timeframes - we have focused our efforts towards the larger timeframes, 12H, 1D, 2D for example as we believe these to be the most consistent and predictable, and therefore the most profitable.
Trading on longer timeframes also reduces the overal cost of trading fee's as you'll be placing fewer trades over any given time period, whilst catching bigger swings and therefore earning a higher percentage per winning trade. Due to these bigger price swings you can de-leverage your trades too, making them inherintly safer and more controlled.
The final benefit to placing trades on longer timeframes is that you will not be tied down to your PC or laptop for hours on end waiting for a perfect entry or exit point, which increases the odds of placing bad/panic trades or even placing trades due to boredom! If you trade with Crypto Tipster v2 on a 1D timeframe, you will only ever have work to do once per day, at bar close; this is when trades are placed or exited, or stop losses/take profits are updated to new levels - easy!
Crypto Tipster v2 can help consistently catch tops and bottoms of trending markets whilst avoiding placing trades through choppy or ranging areas, this helps to not only maximise profits (what we're all after!) but also to minimise losses (equally important). We've tirelessly tested Crypto Tipster using literally thousands of variables across dozens of built-in algorithms over hundreds of trading pairs - lots of data to process!
The outcome is rather stunning and well worth checking out - we're rather proud of what we've achieved here, and we're pretty sure you're going to love it too!
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What's Included
- Chart Settings
The first section you'll come across, Chart Settings.
Here you'll find a few options regarding how your chosen market chart will look within TradingView and how Crypto Tipster will interact with this chart.
One of the most important Tick boxes is first on the list - "Show Backtest Results". This will change Crypto Tipster from displaying simple but easy-to-follow "Buy/Sell" labels into Strategy mode in which you can set up more complicated Stop Loss / Take profit settings as well as setting up Alerts for auto trading and other more complex functions (see How It Works for more info!
We've also included a "Trend Strength Bar Color" tick box which changes the color of the chart bars based on how strong Crypto Tipster is perceiving the current trend and in which direction.
- Trend Settings
"Trading Frequency" represents how often Crypto Tipster will be looking for a new trend / change in trend direction, and therefore how often it will be placing trades. By default this is set to "Normal" but can be changed to "Rapid" using the drop down menu.
"Entry Trend Strength" also determines how frequently trades are placed by selecting the strength of trend required before a trade is placed. The scale ranges from "1-5", with 1 being a low trend strength required, 5 being a very strong trend strength required.
Within the Trend Settings section you'll also find an "Avg Trend Strength over Bars" option. This allows you to average (mean) the current trend strength over a pre-determined amount (1-5) of previous chart bars - thus providing a potentially more consistent signal.
- Trade Settings
Trade Settings help Crypto Tipster determine what type of trades you're looking to place.
The overall "Trade Direction" will decide to either target only Long trades, only Short trades, or Both (default).
"Consecutive Trades in Same Direction" allows for pyramiding - whereby you can specify to allow for multiple trades of the same direction. Set to "1" as default allows for no extra pyramiding, max setting of "10".
- Trade Protection
Currently consisting of two functions, our Trade Protection section can help to achieve both the removal of false signals (whipsaws), and the extension of good trades without confusion during minor retracements.
"Chop Removal" can help to remove some whipsaw trades during ranging market conditions, therefore improving overal profitability by only targeting stronger trends. You have an option to choose from either "Weak" or "Strong" Chop Removal.
"Protection Filter" uses current trading criteria as defined by you, and uses it to check against a higher time frame than you're currently viewing. This can help to eliminate some bad trades at the expense of a potential lag on good trades.
- Stop Loss / Take Profit
Stop Losses should be a crucial aspect of everyone's trading system. They help prevent any trade from going too far in the wrong direction and limit losses.
Our "Stop Loss (%)" is quick and easy to set up, simply set the percentage offset from the entry price of trades and a fixed Stop Loss will be in place on all trades.
"Take Profit (%)" works in the same way as the Stop Loss mentioned above - simply set the percentage you'd like to exit a profitable trade at.
The "Trailing Stop (%)" is a little more complicated in that it will follow the trend of the trade a certain percentage away from the current market price - this is great for keeping yourself in a trade for as long as the trade is moving in the right direction.
- Extra Tools & Indicators
This is the section of Crypto Tipster that enables you to add some chart visuals to assist you with your preferred trading style.
"Potential Pivot Points" are not the same as actual pivot points - Potential pivot points will paint on the chart at bar close, giving you an immediate alert to potential tops/bottoms of market trends. You can choose to display only the strongest potential points, or include some of the weaker signals too.
"Actual Pivot Points" are inherintly more accurate than Potential pivot points, but do not paint on the chart until after a pre-determined amount of time has passed. These are great for placing stop losses/take profits or watching the market for breakouts or reversals.
"Support/Resistance Levels" plots up to 6 support and resistance horizontal lines based on recent price tops/bottoms. Use these to determine areas where price could rebound or break-through.
"Bollinger Band Breakout" - Bollinger bands are a tried and tested technical analysis tool, similar to pivot points and support/resistance lines, thee are another great tool to determine where price may retrace, consolidate or breakout.
- Ichimoku Cloud
Somewhat confusing and intimidating when you first come across this technical analysis indicator, the "Ichimoku Cloud" is one of our favorites. Assisting with the detection of Dynamic Support and Resistance levels, Momentum and Trend Direction all in one super indicator.
Although certain aspects of the Ichimoku Cloud are already present within Crypto Tipster v2 algorithms in order to offer you the best possible signals, we've also included a user-definable section of it's own so you can manually set up and use the cloud for your own trading needs, all cloud signals (and there are many) are available to set up as Alerts for your own needs or an Auto-Trading Bot.
- Custom Alerts for Any Signal
We've endeavoured to ensure that all signals, not just the Buy/Sell signals, are ready and available to create Alerts with; giving you the most opportunity to create a fully custom trading engine that suits your exact trading requirements.
This means you can set Alerts for any and all signals you can see on the chart when using Crypto Tipster v2, this includes Buy/Sell Signals, Trend Strength Signals, Choppy Market Signals, Stop Loss/Take Profit Signals, Pivot Points, S/R levels crossed above & below, Bollinger Band Breakout and several Ichimoku Cloud Signals.. the list goes on!
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We've tried to make Crypto Tipster as comprehensive and easy to understand as possible, we are however always in search of progression; we do really love to hear your feedback :)
For more information and a free 8-day trial please visit the link in our signature
Happy Trading Guys
Donchian Trendline - Support Resistance Slope [UhoKang]// This is a strategy that draws a trend line in the form of a slope whenever the high point and low point are updated.
// The upper slope serves as a resistance line, and the lower slope serves as a support line.
// Buy when the of the candle crosses the slope
The Systems Lab: PRX StrategyLike the PRX Indicator (which is also available) this PRX Strategy includes all the elements necessary to run the PRX Trading System or to incorporate any of its elements into your own analysis. But since this is a strategy it also includes all of the system entry and exit orders which allows them to be displayed on the charts and backtested in different configurations to see how specific configurations of the system could have performed in the past.
The primary concept is the identification of trends by way of a customized PSAR (Parabolic Stop and Reverse) calculation that uses linear regression to reduce market noise and highlight trends for longer using a method pioneered by Dr Ken Long. This means that price can penetrate the PSAR dots without causing a trend reversal to occur (flipping the dots over to the opposing side) which would normally occur with the traditional PSAR idea.
The intent is to help identify and stick with trends longer, adapt to changes in volatility by using linear regression as a noise filter and potentially capture large outlier moves. A linear regression curve is plotted as well in order to help identify when a change in trend will occur by it crossing the PSAR dots.
In order to make the trend as clear as possible the bars can be colored as either up-trend or down-trend with user selectable colors.
A moving average filter is also included as a longer term market condition filter in order to avoid periods when the market is against this average which is an inherent part of the system.
The strategy is currently long only (though we’re working on the short side) and includes standard entries along with a trailing stop using the customized PSAR. It also includes multiple options to re-enter with an existing trend if the trailing stop is hit but the trend remains in place.
Multiple parameters are available for customisation including the Linear Regression length, the Moving Average Filter lookback, enabling of the re-entry and continuation entry signals as well as a date range filter for more specific and repeatable backtesting over different markets and timeframes.
Risk Management is at the core of our system design principles and as such we set and limit the loss for every trade (which is also configurable as a parameter that defaults to $100/trade) and also trail the stop to both reduce risk and capture profit. The position size is calculated automatically and is volatility adjusted based on the initial stop.
Finally, there is a custom dashboard which shows all the relevant details for the current trade at a glance on the chart such as entry, initial stop (size and price), current trailing stop level and P/L in units of R-multiples (’R’ being the initial risk on the trade).
[Floride] 4LBS Strategy - COPPERHEAD**Hello. Because of my poor English skill, there may be many grammatically incorrect sentences in the description below. Thank you in advance for your understanding. **
Copperhead
This is a strategy created by combining three 4LBS channels, with the goal of catching the most volatile points, the points that are profitable as soon as you enter the position. The goal is to target the minimum number of entries and the vital point without missing it.
Characteristics
Each channel is L1 in 4LBS channels using a period of Fibonacci multiples.
You enter the position only when all three layers break through.
The initial losscut ratio setpoint is 3%.
If you don't get losscut and get on the trend safely, you liquidate your position when L4 breaks down.
advantages
- This strategy is profitable for almost every time frame. However, the longer the candle period you using in the chart, the more you have to increase the losscut ratio.
And if the candle period is shortened, you have to reduce the losscut ratio.
- One of the factors behind the strategy's bottom line is that it only enters at critical points and does not have a large number of entries.
- It was intended to make clear visual effects as simple as possible to understand the current trend.
- Korean Description -
전략 : 카퍼헤드
이것은 4LBS채널 3개를 결합하여 만든 전략으로, 가장 변동성이 극단적이 되는 지점들, 진입하자마자 수익이 나는 지점들을 캐치하는 것을 목표로 만든 전략입니다.
최소의 진입횟수, 그리고 급소를 놓치지 않고 공략하는 것이 목적입니다.
** 특징 **
- 각각의 채널은 피보나치 배수비의 기간을 사용한 4LBS의 L1입니다.
- 모든 3개의 레이어가 돌파될때에만 포지션을 진입합니다.
- 최초의 로스컷 설정점은 3%입니다.
- 로스컷당하지 않고 무사히 추세가 나오면, L4가 돌파될때 익절합니다.
** 장점 **
- 거의 모든 타임프레임에서 수익이 납니다. 그러나 기간이 길어질수록 손절폭을 늘려주어야 합니다. 그리고 캔들 기간이 짧아지면 손절폭도 따라서 조금씩 줄여주어야 합니다.
- 중요한 급소에서만 진입하고 진입횟수가 많지 않은것이 이 전략의 수익의 요인 중 하나입니다.
- 최대한 간명하게 현재추세를 알아볼 수 있도록, 명확한 시각적 효과를 살리려고 의도하였습니다.
** 수익률 **
The default setting of number of operating contracts is set to 10 contract operation. This may be a dramatic example, but This a deep backtesting result of how much the return would be from January 2019 when trading Bitcoin 10 contract.
기본설정은 10계약 운용으로 설정되어 있습니다. 이것은 좀 극적인 예일 수 있겠으나, 비트코인 10계약을 운용시 지난 2019년 1월부터 얼마나 수익률이 나오는지 딥 백테스팅한 것입니다.
지난 4월부터 로스컷 2.5% 설정하고 5개월동안의 운용할 시에 수익은 58561 달러, 1계약 운용시에는 5800여 달러입니다.
Entry Examples(during last 5 month)
지난 5달간의 진입 예시들
The Flower - Multiple Strategy Options in OneStrategy Overview
This strategy code currently includes four separate strategies to be used to either aid in discretionary trading or to be used algorithmically through the third-party system Profitview (profitview.app). Support for Pineconnector for use with MetaTrader 4 is in the works. The strategies have been designed with cryptocurrency trading in mind, however, the fundamentals apply to other assets.
The four strategies currently included are labeled “TSI Cross” (the default setting), “Oscillator Bands”, “Scalping”, and “McG/MA Cross”. Detailed information for each independent strategy can be found below, including sample settings configurations for each. A dropdown menu to select the strategy can be found under the “Strategy Options” set of settings under the Input tab of the strategy settings menu.
Additionally, the option to receive only long or short signals can be found alongside the Strategy Choice menu.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly.
The only visuals associated with the strategy are two McGinley Dynamic lines, red (slow length) and green (fast length). These are relevant to the McGinley Cross strategy, but can be used alongside the other strategies if desired.
When viewing the backtesting data in the TradingView Strategy Tester, ensure that “use bar magnifier” is activated. This option can be found in the Properties tab of the strategy settings menu.
Profitview Settings
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. A sample of our Profitview syntax can be found below.
To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Strategy Choices
As mentioned above, this strategy code contains four separate strategy options. A detailed breakdown of each follows below:
Total Strength Index (TSI) Cross
This strategy option is the default choice. The main signal involved in this strategy is a crossover or crossunder of the TSI value line and TSI signal line, however, there are a few other signals involved in the creation of a long or short entry. In addition to the TSI, the strategy includes an Average Directional Index (ADX) threshold value, Jurik Volatility Bands (JVB), a Stoch RSI threshold, and an oscillator of choice in conjunction with a threshold of 0. This oscillator choice can be selected under the “Signal Options” menu in the Input tab of the strategy settings. The default oscillator is the Detrended Price Oscillator (DPO), though the option for Chande Momentum (CMO) or Rate of Change (RoC) are both viable for this strategy.
Individual settings for these can be found in the Input tab under “Oscillator Settings” (TSI, Stoch RSI, DPO, CMO, ROC), “Band/Channel Settings” (Jurik Volatility Bands Length/Smoothing), and “Directional Settings” (ADX Smoothing Long, DI Length Short, ADX Threshold).
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings -- DPO Length (21), DPO *not* centered, RSI (Stoch) Length (4), Stochastic Length (4), TSI Long Length (25), TSI Short Length (13), TSI Signal Length (13), K (3), D (3)
- Band/Channel Settings -- Jurik Volatility Bands Length (25), Jurik Volatility Bands Smoothing (5)
- Directional Settings – JVB Price Threshold (0), ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (23)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Oscillator Bands
This strategy involves the usage of bands or channels that use oscillators as a source input. The main signal for this strategy derives from a cross of the band or channel and a hline of 0. Additionally, this includes a “Directional Filter” and a “MA Filter”. The selections for all of these can be found in the “Signal Options” section of the Input tab.
First option is for Oscillator Choice and includes DPO, CMO, ROC, RSI, TSI, and the Jurik price line. The individual settings for these can be found in the “Oscillator Settings” section. Different channels can be selected for the upper or lower bands, though it is not necessary for them to differ. These current options include Bollinger Bands and Jurik Volatility Bands, the individual settings for each found in the “Band/Channel Settings” section. Next is the MA Filter, of which you can select SMA, EMA, SMMA, WMA, VWMA, KAMA, JMA, or McGinley Dynamic. All options for these settings can be found in the “MA Filter Settings” section. Lastly, the Directional Filters can be selected for either direction like the upper/lower band selection. These filters include the ADX, Bull-Bear Power (BBP), Parabolic SAR (PSAR), or Jurik.
Sample settings for WAVESUSDT using the 20M timeframe:
- Oscillator Choice – DPO (Length – 30, uncentered)
- Upper and Lower Band – JVB Upper/Lower (Jurik Volatility Bands Length – 25; Smoothing – 10)
- MA Filter – VWMA – (MA Length – 40; Source – Open)
- Directional Filter – ADX (ADX Smoothing Long – 14; DI Length Short – 5; ADX Threshold – 22)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Scalping
This strategy heavily relies on the usage of Parabolic SAR, accompanied by a “Directional Filter” (as discussed in the previous section) other than PSAR. This strategy can provide a higher frequency of trades as opposed to the other strategies available, however, it comes with slightly higher risk inherently. A riskier take profit/stop loss spread is recommended here, though risk should always be managed. The settings required for this strategy are all found under the “Directional Settings” section of the strategy inputs.
Sample settings for NEARUSDT using the 20M timeframe:
- Directional Filter set to ADX
- Directional Settings – ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (22), PSAR Start Value (0.02), PSAR Increment (0.005), PSAR Max Value (0.15), PSAR Source (Close)
- Take Profit/Stop Loss – 0.75% TP, 0.005% TTP, 1.5% SL
McGinley Cross
This strategy revolves around the crossing of two McGinley Dynamic lines of varying lengths alongside an ADX filter as well as a DPO filter. McGinley is used as opposed to a standard moving average cross strategy as it adjusts for shifts in market speed and can better gauge market trends. The McGinley length settings can be found with the “MA Filter” settings, labeled as Fast Length and Slow Length. The fast length number should be smaller than the slow length.
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings – DPO Length (30), uncentered
- MA Filter Settings – McGinley Fast Length (4), McGinley Slow Length (21)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.4% SL
Comprehensive Settings List
Date and Time: From date and to date, adjustable for backtesting purposes.
Signal Options:
Oscillator Choices: Chande Momentum Oscillator (CMO), Detrended Price Oscillator (DPO), Rate of Change (ROC), Relative Strength Index (RSI), True Strength Index (TSI), Jurik Volatility Bands Priceline (JVB) – *** for use with TSI Cross or Oscillator Bands strategies only ***
Upper and Lower Band/Channel Choices: Bollinger Bands (BB) or Jurik Volatility Bands (JVB) -- *** for use with Oscillator Bands strategy only ***
MA/McG Filter: SMA, EMA, RMA, WMA, VWMA, Kaufmann MA, Jurik MA, McGinley Dynamic -- *** for use with Oscillator Bands strategy only ***
Directional Filter Long/Short: Average Directional Index (ADX), Bull/Bear Power (BBP), Parabolic SAR (PSAR), Jurik -- *** for use with Oscillator Bands strategy only ***
Profitview Settings: *** For use with ProfitView extension only, otherwise ignore ***
Oscillator Settings: *** For use with TSI Cross, Oscillator Bands, and McGinley Cross strategies ***
CMO Length, CMO Source – for Chande Momentum Oscillator
DPO Length, DPO Centered – for Detrended Price Oscillator
RoC Length, RoC Source – for Rate of Change
RSI Length, RSI MA Length – for Relative Strength Index
RSI (Stoch) Length, Stochastic Length, Stoch RSI Source, K, D – for Stochastic RSI
TSI Long Length, TSI Short Length, TSI Signal Length – for True Strength Index
Band/Channel Settings: *** For use with Oscillator Bands strategy ***
Jurik Volatility Bands Length, Jurik Volatility Bands Smoothing – for Jurik Volatility Bands
Bollinger Band Length, Bollinger Band Multiplier – for Bollinger Bands
Directional Settings: *** For use with Scalping and Oscillator Bands strategies ***
JVB Price Threshold – for Jurik Volatility as a directional setting
ADX Smoothing Long, DI Length Short, ADX Threshold – for Average Directional Index
PSAR Start Value, PSAR Increment, PSAR Max Value, PSAR Source – for Parabolic SAR
MA Filter Settings: *** For use with Oscillator Bands and McGinley Cross strategies ***
McGinley Fast/Slow Length – for McGinley Dynamic
MA Length, MA Source, MA Offset – for any other moving average
TP and TTP / Stop Loss: *** For use with ALL strategies ***
Long/Short Take Profit % -- for standard take profit settings
Enable Trailing, Trailing Take Profit % -- for trailing settings
Stop Loss % -- for standard stop loss settings; trailing can be enabled or disabled for stop loss
Disclaimers:
Some open-source code has been included -- Jurik Volatility Bands (by "ProValueTrader") and Trailing Take Profit/Stop Loss code (by jason5480). Additional code was used from the TradingView built-ins.
These strategies do NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Invites to the strategy will only be disseminated to those with express consent and knowledge of the invite prior to the action itself.
Double SuperTrend Strategy [JoseMetal]============
ENGLISH
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- Description:
This is a simple strategy using 2 SuperTrends, a larger one for entries and smaller for Stop Loss, Take Profit is calculated via risk reward custom setting.
The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe.
You can customize settings for both SuperTrends, as well as the risk to reward ratio, starting date, ending date and more.
- LONG / SHORT ENTRY:
Both SuperTrends agree on the trend direction, both green = bullish = LONG, both red = bearish = SHORT.
- EXIT CONDITION:
Stop Loss or Take profit, however, there's an option (activated by default) to change position if entry conditions reverse.
- Visual:
Both SuperTrends are plotted.
The script prints the Take Profit as a green line, Stop Loss as a red line and entry price with a white line.
- Recommendations:
Depending on the asset, the strategy works from 1H to daily, feel free to test it on your favorite asset.
The strategy settings are good for crypto by default.
- Customization:
As you can see, almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
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ESPAÑOL
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- Descripción:
Esta es una estrategia sencilla que utiliza 2 SuperTrends, uno mayor para las entradas y otro menor para el Stop Loss, el Take Profit se calcula a través de la configuración personalizada de riesgo-beneficio.
La estrategia tiene varias opciones personalizables, lo que le permite refinar la estrategia para tu activo y marco de tiempo.
Puedes personalizar los ajustes para ambos SuperTrends, así como la relación riesgo-beneficio, la fecha de inicio, la fecha de finalización y más.
- ENTRADA EN LARGO/CORTO:
Ambos SuperTrends coinciden en la dirección de la tendencia, ambos verdes = alcista = LONG, ambos rojos = bajista = SHORT.
- CONDICIÓN DE SALIDA:
Stop Loss o Take profit, sin embargo, hay una opción (activada por defecto) para cambiar de posición si las condiciones de entrada se invierten.
- Visual:
Ambos SuperTrends son dibujados.
El script dibuja el Take Profit como una línea verde, el Stop Loss como una línea roja y el precio de entrada con una línea blanca.
- Recomendaciones:
Dependiendo del activo, la estrategia funciona de 1H a diario, siéntete libre de probarlo en tu activo favorito.
La configuración de la estrategia es buena para criptos por defecto.
- Personalización:
Como puedes ver, casi todo es personalizable, para colores y estilos de trazado revisa la pestaña "Estilo".
¡Que lo disfrutes!
EMA RSI Strategy
Simple strategy
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If the last two closes are in ascending order, the rsi is below 50 and ascending, and the current candle is above 200 ema, then LONG. If the last two closes are in descending order, the rsi is above 50 and descending, and the current candle is below 200 ema, then SHORT.
LONG Exit strategy:
ATR: Last 14 day
Lowest: The lowest value of the last 14 candles
Limit points = (Trade Price - Lowest + ATR) * 100000
trail_points : Limit/2
trail_offset = Limit/2
SHORT Exit strategy:
ATR: Last 14 day
Highest: The higher value of the last 14 candles
Limit points = (Trade Price - Highest + ATR) * 100000
trail_points : Limit/2
trail_offset = Limit/2
Backtest results for the AUDUSD pair gave positive results over the last three months.
I am testing this strategy using a python bot in a real environment this week and will update the results at the end of the week.
Disclaimer
This is not financial advice. You should seek independent advice to check how the strategy information relates to your unique circumstances.
We are not liable for any loss caused, whether due to negligence or otherwise arising from the use of, or reliance on, the information provided directly or indirectly by this strategy.
Simple RSI and SMA Long and Short (by Coinrule)The relative strength index ( RSI ) is a momentum indicator used in technical analysis . RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A simple moving average ( SMA ) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range.
The Strategy enters and closes the trade when the following conditions are met:
LONG
SMA100 is greater than SMA150
RSI is greater than 50
SHORT
SMA100 is less than SMA150
RSI is less than 50
When a long position is opened, it remains open until the conditions for a short are met at which point the long position is closed and the short position is opened. Then, when the conditions for the long position are met, the short will be closed and a long will be opened.
This strategy is back tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Heikin Ashi SupertrendAbout this Strategy
This supertrend strategy uses the Heikin Ashi candles to generate the supertrend but enters and exits trades using normal candle close prices. If you use the standard built in Supertrend indicator on Heikin Ashi candles, it will produce very unrealistic backtesting results because it uses the Heikin Ashi prices instead of the real prices. However, by signaling the supertrend reversals using Heikin Ashi while using standard candle close prices for the entries and exits, it corrects the backtesting errors and gives you a more realistic equity curve. You should set the chart to use standard candles and then hide them (the strategy creates the candles).
This strategy includes:
Plotting of Heikin Ashi candles
Heikin Ashi Supertrend
Long and Short Entry Signals
Move stop loss after trade is X% in profit
Profit Target
Stop Loss
Built in Alertatron automation
Alertatron Trade Automation Integration
For Alertatron integration, be sure to configure the strategy settings and "Enable Webhook Messages" before creating an alert with {{strategy.order.alert_message}} in the body of your alert message. Be sure to enable webhooks and point it to your Incoming Alertatron webhook URL.
Notes
While this strategy does pretty well during trending markets, It's worth noting that the Buy and Hold ROI is much better during peak times of the bull market
Not financial advice. Do not risk more than you can afford to lose.
ATR Trend Run - Signals Alerts SL and TP by Tech Store OnThe script uses several ATR formulas for entering/exiting trades, support/resistance lines to take TP1 (take profit 1) and another ATR formula for TP2 (take profit 2). Everything is fully configurable to your preference, and you can back-test it via TradingView. You can also configure the indicator for signals during US trading sessions (with or without power hour), as well as taking profits/stop-loss session time(s), as well as to close a position at the end of the trading session no matter what. Also, you can turn all of that off, so there are no trading session/end of day limits and each trade will run until it either hits SL, TP1, TP1 > back to entry, TP2. Note: indicator is set to skip consecutive/opposite signals, while you currently have a trade open > if you hit a trend – ride it to the end!
For example: If you will be day trading SPY and you wish to close your positions no matter what right before the market closes (3:45PM ET > 15min before closes): Make sure to checkbox “Intraday – Close Position Before Market Closes” in the strategy/indicator Settings, so that you are alerted soon before the market closes, if you wish to continue holding the position – leave this checkbox unchecked.
SL: SL is set to be slightly above/below the signal candle, which is best suited for this strategy.
Strategy Take Profit Approach
While the initial position open and SL hit is always based on a closed candle bar (can’t do otherwise, as otherwise you will have 10s of fake signal alerts), there are 2 ways on trading this strategy in terms of TP1 and TP1 taken > back to Entry, which is based off Alert type.
You can switch this as you like within the indicator settings, “Checked: TP1 taken > back to Entry per Price Touch | Unchecked: per Candle Close”.
Candle Close vs Price Touch: with the Default method - Candle Close for an alert for TP1 or if price comes back to Entry after TP1 is taken will only be triggered once candle bar fully closes crossing the area, while Price Touch will alert when price touches the area before candle bar closes.
For example: your trade is running well, you grab TP1 and the price reverses and hits your trade Entry area. With Price Touch – you are immediately alerted to close your trade with no loss and with TP1 profit. With Candle Close - you will receive an alert only once candle bar fully closes on top of the Entry crossing it backwards, meaning it may lower your TP1 profit or even completely reverse the trade into loss in case it will be a huge candle bar for any reason. However, it may touch the Entry area, looking like the price is reversing, but then continue per initial trade direction, sometimes becoming a trend. So, while Price Touch seem like a more conservative approach, Candle Close can give you much bigger profits if you catch a trend, but you can always change it via the Settings.
Note: TradingView back-testing engine does not have a feature to open/close orders IMMEDIATELY via Price Touch trigger, but only when the candle closes after price touches the scripted area/line/etc., so you for the most accurate results, test your strategy out via Candle Close setting. Otherwise, decide yourself. I personally like more Candle Close since I can test it out via back-testing with the most accurate results.
TP2 is set per Candle Close as often the ATR trailing stop line will be hit and bounced off, so it’s best to wait until candle actually breaks it/closes through it.
Note: If you will be observing the strategy LIVE, during LIVE candle bar movement – it will look weird, like it’s placing an order after order during any trigger – this seem like a TradingView bug, but is only observational, once the candle bar is closed and you refresh TradingView it will all look correct.
Back-Testing
If you wish to do some back-testing, just modify the strategy/indicator Settings:
-----1) STRATEGY: This is for back-testing/experimenting with the script inputs.
----------a. You can setup a start date (date, month, year) from which it will start opening back-test trades, select a position size and select TP1 size, the idea here is to close half (or whatever you choose) portion of the trade once you hit your TP1, then to either close at small profit or to catch a trend and close the second portion of the position long way ahead from Entry, otherwise it will alert you to close the position at TP2, if price comes back to Entry, at reversal signal or at the end of US trading session if the option for it is checked. If you wish to close the whole position at TP1, just enter the same amount for TP1 to match backtest position size. Otherwise you can experiment with TP1 sizing – try it out!
-----2) Feel free to experiment with ATR settings and with S&R Left/Right bars, you may be amazed how results will differ and find some really cool combinations!
-----3) Make sure you select/de-select “Intraday – Close Position Before Market Closes” setting depending on what you are back-testing and on which conditions
-----4) Note: If you wish to do some deep back-testing (1+ years), use the “Deep Backtesting” feature within Strategy Tester on the TradingView as otherwise it may show wrong results or even fail to compute the results
Add the alerts
-----Right-click anywhere on the TradingView chart
-----Click on Add alert
-----Condition: ATR Trend Run - Signals Alerts SL and TP, by Tech Store On
----------o Right underneath the condition click on the drop-down menu and select “alert() function calls only”
-----Expiration time: Whatever you wish
-----Alert actions: Whatever notifications you wish
-----Alert name: DO NOT TOUCH THIS
-----Hit “Create”
-----Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
- Note: If you add the alert while the script is currently “In Position” it will not know that. So either wait when there will be no position open at all or close your position partially if the bot opens it twice bigger or so in case per script the bot will think it is already in position.
Note: Because of the slippage and the order processing time between TradingView, AutoView and the Broker (it’s usually about a second or so), it is suggested to not use a timeframe lower than 1min. The script is working really well with 1M/3M/5M/H1/H4 timeframes per my back-testing, but feel free to explore via Strategy Back-testing what’s best for the instrument you wish to trade.
If you wish to try this out for a week or so – please reach out and I will give you access.
