Wave Trend AlgoA NRTH_ Premium Double Trend Confirmation Algo
Comes included with the Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
This strategy works on timeframes as low as 15m, however not recommended for scalping with high fees.
Best performance with high Risk/Reward Ratios
The double trend confirmation (1 slow, 1 fast) uses lagging trend confirmation to your advantage, Identify confirmed moves and enter trades with high RR for the best results.
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 100x leverage
ATR Exits : 1:3.3 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Média de Amplitude de Variação (ATR)
3xATR + EMA 260 + TP SL By NussaraStrategy backtest for 3X ATR + EMA 260
Exponential Moving Average
Moving averages smooth the price data to form a trend following indicator. They do not predict price direction, but rather define the current direction, though they lag due to being based on past prices. Despite this, moving averages help smooth price action and filter out the noise.
EMA=Price(t)×k+EMA(y)×(1−k)
where:
t=today
y=yesterday
N=number of days in EMA
k=2÷(N+1)
Average True Range
Average True Range ("ATR") was introduced by J. Welles Wilder in his 1978 book New Concepts In Technical Trading Systems. ATR is a measure of volatility for a stock or index
Calculation
ATR = (Previous ATR * (n - 1) + TR) / n
Where:
ATR = Average True Range
n = number of periods or bars
TR = True Range
The True Range for today is the greatest of the following:
Today's high minus today's low
The absolute value of today's high minus yesterday's close
The absolute value of today's low minus yesterday's close
3X ATR + EMA 260 Formula
1. ATR it indicates the market has a fluctuation. An indicator will check bar (High-Low) > 3 x ATR
2. EMA 260 identify the market uptrend or downtrend
- if condition (1) is true and the price closed above the EMA260 it’s an uptrend. An indicator will enter a long position.
- if condition (1) is true and the price closed below the EMA260 it’s a downtrend. An indicator will enter a short position.
Risk to Reward Ratio = 1:1.5
Stop loss = open price of entry position
This indicator is just a tool for technical analysis . It shouldn't be used as the only indication of trade because it causes you to lose your money. You should use other indicators to analyze together.
%-[Guz] Vortex Indicator Custom// Custom Vortex Strategy (backtester)
// Custom version of the Vortex indicators that adds many features:
// -Triggers trades after a threshold is reached instead of the normal vortex lines cross (once the difference between the 2 lines is important enough)
// -Smooths the Vortex lines with an EMA
// -Adds Take Profit and Stop Loss selection
// -Adds the possibility to go Long only, Short only or both of them
// ! notice that it uses 10% position size and 0.04% trade fee, found on some crypto exchanges futures contracts
// Allows testing leverage with position size modification (values above 100% position size, to be done with caution)
// Not an investment advice
[KL] Mean Reversion (ATR) StrategyThis strategy will enter into a position when price volatility is relative high, betting that price will subsequently trend in a favourable direction.
Hypothesis : During periods of high price volatility, ATR will divert from its moving average by at least +/- one standard deviation. Eventually, ATR will revert back to the mean. However, just knowing the magnitude of increase/decrease of ATR does not give a trend signal, so we need to introduce a model in this script to predict whether the next bars will be up/down.
Trend Prediction : This strategy calculates the expected logarithmic return of the security (the "Drift") and considers prices to be moving in uptrend if the drift curve is upward sloping or if the drift value is positive.
Entry Conditions : Long position is entered when:
(a) ATR has diverted from mean by one standard deviation, and
(b) trend is predicted to move in our favor.
Exit Condition : When trailing stop loss is hit.
Results from backtesting against VOO (1H timeframe):
- approx 46% win rate over 491 trades, on average holding for 20 hours per trade
- price at the beginning of backtest (Jan. 2015) was $187.52, giving holding period return of ~120% had we not sold in between ("HPR of HODL'ing")
- this strategy gained ~159%, exceeding ~120% HPR of HODL'ing
Strategy Template - V2This is an educational script created to demonstrate few basic building blocks of a trend based strategy and how to achieve different entry and exit types. My initial intention was to create a comprehensive strategy template which covers all the aspects of strategy. But, ended up creating fully fledged strategy based on trend following.
This is an enhancement on Strategy-Template But this script is comparitively more complex. Hence I decided to create new version instead of updating the existing one.
Lets dive deep.
SIMPLE COMPONENTS OF TREND FOLLOWING STRATEGY
TREND BIAS - This defines the direction of trend. Idea is not to trade against the trend direction. If the bias is bullish, look for long opportunities and if bias is bearish, look for short opportunities. Stay out of the market when the bias is neutral.
Often, trend bias is determined based on longer timeframe conditions. Example - 200 Moving Average, Higher timeframe moving averages, Higher timeframe high-lows etc. can be used for determining the trend bias.
In this script, I am using Weekly donchian channels combined with daily donchian channels to define trend bias.
Long Bias - 40 Day donchian channel sits completely in upper portion of 40 Week dochnial channel.
Short Bias - 40 Day donchian channel sits completely in lower portion of 40 Week donchian channel.
ENTRY CONDITION - Entry signals are generated only in the direction of bias. Hence, when in LongBias, we only get Long signals and when in short bias, we only get short signals.
In our case, when in Long Bias - if price hits 40 day high for the first time, this creates our long entry signal. Similarly when in Short Bias , price hitting 40 day low will create signal for going short. Since we do not take trades opposite to trend, no entry conditions are formed when price hits 40 day high in Short Bias or 40 day low in Long Bias.
EXIT CONDITION - Exit conditions are formed when we get signals of trend failure.
In our case, when in long trade, price hitting 40 day low creates exit signal. Similarly when in short trade price hitting 40 day high creates exit signal for short trade.
DIFFERENT TYPES OF ENTRY AND EXIT
In this script, I have tried to demonstrate different entry and exit types.
Entry types
Market - Enter immediately when entry signal is received. That is, in this case when price crossover over high in long bias and crosses under low in short bias
Stop - This method includes estimating at what level new highs are made and creating a stop buy order at that level. This way, we do not miss if the break out is stronger. But, susciptible to fail during fakeouts.
Limit - This method includes executing a limit order to buy at lower price or sell at higher price. In trend following methods, downside of limit order is when there is genuine breakout, these limit orders may not hit and during trend failures the limit orders are likely to hit and go straight to stop.
Stop-Limit - this is same as stop order but will also place a limit condition to avoid buying on overextended breakout or with lots of slippage.
Exit types
Market - whether to keep the existing trade running or whether to close it is determined after close of each bar and exit orders are executed manually upon receiving exit signal.
Stop - We place stop loss orders beforehand when there is a trade in place. This can help in avoiding big movements against trade within bar. But, this may also stop on false signals or fakeouts.
Take profit
Stop - No take profits are configured.
Target - 30% of the positions are closed when take profit levels are hit. Take profit levels are defined by risk reward.
USING THE CODE AS TEMPLATE
As mentioned earlier, I intended to create a fully fledged strategy template. But, ended up creating a fully fledged stratgy. However, you can take some part of this code and use it to start your own strategy. Will explain what all things can be adopted without worrying about the strategy implementation within
Strategy definition : This can be copied as is and just change the title of strategy. This defines some of the commonly used parameters of strategy which can help with close to realistic backtesting results for your coded strategy and comparison with buy and hold.
Generic Strategy Parameters : The parameter which defines controlling alllowed trade direction and trading window are present here. This again can be copied as is and variable inDateRange can be directly used in entry conditions.
Generic Methods : f_getMovingAverage and f_secureSecurity are handy and can be used as is. atr method provideded by pine gives you ATR based on RMA. If you want SMA or any other moving average based ATR, you can use the method f_getCustomAtr
Trade Statements : This section has all types of trading instructions which includes market/stop/limit/stop-limit type of entries and exits and take profit statements. You can adopt the type of entry you are interested in and change when condition to suit your strategy.
Trade conditions and levels : This section is required. But, cannot be copied. All the trade logic goes here which also sets parameters which are used in when of Trade Statements.
Hope this helps.
[KL] Relative Volume + ATR StrategyThis strategy will enter into long position when (a) current volume is above the average volume, and when (b) volatility of prices (based on ATR) is relatively low.
Backtested on hourly timeframes, win rates range between 35% to 50% on stocks with positive drifts (i.e. tendency to move upwards). Default setups are as follows:
- Average volume is computed using simple moving average (sma) of 14 periods. By default, 1.4x ratio seems to work well on most large cap stocks. If it's too high, then amount of potential points for entry will decrease. But if it's too low, then this indicator becomes meaningless.
- ATR (for determining volatility), look back period is 14 (following conventions). I have noticed that the profits could change drastically when changed to different values for each individually security. Feel free to experiment around with this parameter.
Other information: This strategy is based off of one of my previous scripts; a script called "Relatively Volume Strategy". The objective of this new script is to simplify the process of determining periods of low volatility. In this new script, we assume prices are consolidating when current ATR is within its moving average value by +/- one standard deviation.
Av3Based on the ANNE EA v3 for MT4. For use on FOREX.
if ATR is greater than ATR average taken from last 5 candles, then market considered as trending, and so Open(0)>Close(1)=buy Open(0)Close(1)=sell Open(0)
Rosebud Trend Backtest [DepthHouse]*Past Performance Does Not Guarantee Future Results*
*Strategy created for backtesting purposes only.
*Backtesting assesses the viability of a trading strategy or pricing model by discovering how it would have played out retrospectively using historical data.
* Please be sure to read all updates below as the information below could change with future updates.
Rosebud Trend Indicator uses complex range calculations to easily detect trend changes, critical support and resistance levels, and even aid in spotting reversals. The Critical Support & Resistance Zones are plotted via the red and green cloud. This cloud not only visually displays the expected trend direction but often acts as major support and resistance zones. The outer band measures the expected range in which the assets trade over longer periods of time.
The Rosebud Trend Backtest combines the calculations of the ATR Auto Oscillator & the Rosebud Trend Indicator to demonstrate backtest performance.
// Settings //
Users can switch the ‘ Trend Sensitivity ’ between ‘ Low ', ' Med ', and ‘ High ’ to increase or decrease the rate at which the cloud changes.
By altering the S/R Band Thickness users can furthermore increase or decrease the rate at which a trend changes by altering the thickness of the cloud. Default is .50 however this can be lowered if needed.
Bar colors are generated by a combination of Rosebuds primary function and our ATR AUTO Oscillator base functions. Users have 3 bar color options to select from: Simple, Complex, and Off.
Simple: Bars colors alternate between shades of red and green based on the trend direction and the ATR Auto strength. The stronger the shade, the stronger the trend.
Complex: This adds a few extra variables to the script which generates a more complex bar color display. Using this option, Rosebud will generate light red bars in a bull trend if downward movement is strong and vice versa in a bear trend. It also will generate a purple bar if the candle successfully closes above or below the Top & Bottom Range Bands; We call this a range break, and it could be an early sign of strong upward or downward movement.
Off: In case you like to keep things even simpler, this option hides all overlay bar colors.
ATR Options: Used for Light & Strong Entries/Exits // Bar Colors also based on these settings
ATR Smoothed Signal Option: Turns advance smoothing on or off. On will reduce signal noise, while Off could land you that perfect bottom signal with a lower success rate.
ATR Candlestick Length: Default factor for bar color and shape generation, the higher the number the fewer signals that will generate.
ATR Candlestick Smoothing: Default smoothing for the Candlestick Length
Signal Lookback: Adjust the factor at which Bull, Bear, Up, and Down. Lower this to 2 for more signals.
// ⇅ BackTest Settings ⇅ //
Short Trading: Option to see backtest results for both long and short positions. Default is Long Only.
Strategy Entry Options:
Trend Only: Positions are entered right as there is a cloud trend change.
Light Entry: This enters a trade as soon as there is a breakout or breakdown signal generated from the ATR settings.
Strong Entry: Multiple conditions must be met; Price action must be near the Trend Base and must receive either a bullish or bearish crossover in the oversold or overbought range of the ATR Settings.
Strategy Exit Options:
Trend Only: Exits all positions after there is a primary trend change.
Light Exit: Exits a user set percentage of open positions when the ATR generates a breakdown or breakout. Will continue to do this at each occurrence. Presets are built in to keep these from triggering too often in volatile conditions.
Strong Exit: Exits a user set percentage of open positions when the ATR generates a bullish or bearish crossover in the overbought or oversold ranges. Will continue to do this with each occurrence. Presets are built in to keep these from triggering too often in volatile conditions.
Profit Points: Exits a set percentage of the position up to 3 times at a user set percentage gap from the entry. Any remaining amount in the position exits upon a trend change.
Profit QTY Percent: Percent of the position to exit when an exit condition triggers. This does not apply to the “Trend Only” exit option.
Profit Percent Gap: Percent gap for Profit Point Exits. Recommend adjusting based on timeframe. See example below.
Strategy TemplateTrying to include few basic things which is needed for strategy which can be used as template.
Few important components
Strategy parameters
Few important parameters include - initial_capital, default_qty_type, default_qty_value, commission_type, pyramiding and commission_value. All my strategies will have similar settings with initial captial set to 20000 to 100000. 100% of equity per trade with no pyramiding (set to 1) and minimal commission.
margin_long and margin_short can be used for leveraged trading. But, since we are not using pyramiding, it will make no effect.
Trade Limiting parameters
Two types of limiting is available in the scripts
Limiting trading direction : this is done through method strategy.risk.allow_entry_in and input parameter tradeDirection
Limiting trades to particular time window : This is achieved through adding start time and end time parameters of type input.time and check whether time is within this window
Custom Methods
customized security method to get higher timeframe data
customized moving average method to get moving average of any type
Custom Parameters
Moving average Type option list which I use quite often. Any strategy where there is need to use moving average, I try to scan through different moving average types and lengths to see which one is more appropriate for the given strategy. Hence, keeping this parameter in template to make it readily available when I start with new strategy
waitForCloseBeforeExit - this is used if trailing stop need to activated as soon as price hits the stop or only on close price. This is again something I switch quite often based on strategy. Hence, keeping this as part of the template.
Entry and Exit statements for long and short
These statements from line (57 to 62) can remain as is even with new strategy. Only thing to be set are variables - buyCondition, sellCondition, closeBuyCondition and closeSellCondition
Last but not the least
In pinescript, a long and short position cannot coexist in a strategy at any point of time. Any short positions created will automatically stop long positions and vice versa. Hence, it is important make short and long trades mutually exclusive. In this example, I have used 200 weekly moving average as trend bias. No short positions are taken when price is trading above 200 weekly moving average low/close and no long positions are taken when price is less than 200 weekly moving average high/close. Any rule built on top of this (In this case a simple supertrend rules) ensures that there are no conflicting signals and hence avoids confusing trades on the stratgy.
Kifier's MFI/STOCH Hidden Divergence/Trend BeaterMFI/STOCH Hidden Divergence/Trend Beater
General Idea:
My premise around this strategy was to make a general strategy for crypto that would help out with finding entry positions for when you’re bullish on a crypto and want to hold on for a while, and at the same time avoiding massive drops. Essentially a way to mix long term/ swing trading; I somewhat achieved my goal however it still requires a lot of logic tuning of the trend averages.
I’m a huge proponent of volume indicators and coupled with average closing price, I think this gives a really good idea of what is happening with the market. It gives an idea on the market and retail investor sentiment. This generally gives you logical entry positions (Although I don’t know how amazing that will work with all cryptos, there’s a fine line between a good strategy and one that just rides bubble market conditions, some would argue that’s still a success and others not)
How it works:
There are many components to the strategy that try to do different things:
First of all there are two types of entries, a MFI hidden divergence with a STOCH check, essentially it will only fire when a divergence is detected while STOCH is above 50%, however this might be changed in the future as due to the volatile nature of cryptos, the STOCH is not too effective. The second entry is a simple MFI/STOCH trend, if STOCH is above 50% and the trend is detected to be in a trending long, once a MFI crossover over the 50% line is detected an entry is placed, this is designed to get out profit where the divergence would otherwise be less accurate during strongly trending conditions.
-MFI is a great indicator, as a volume weighted momentum indicator I find it the most accurate of all, the STOCH however is a great indicator to get a general picture of simple market conditions and can filter out the emotional noise of retail investors.
-VWMA and an SMA (The bottom oscillator) gives an idea of the trend tacking into account of the volume, this serves as a more short term filter of the trend for filters.
-OBV checks are done between the OBV and an EMA of the OBV, to get the idea of a volume weighted long trend, which is important for crypto as there are massive rallies to go up due to retail greed, it’s great to jump onto it at the beginning, and get off before the stack of cards fall apart.
-ATR is used to detect when the market is relatively just ranging or moving sideways, which is where the hidden divergence entries are done, during predictable and profitable market conditions.
- Stop loss is based on the closest support of the entry, this is a nice medium of room to breath but also an actual stop loss.
Future plans and improvements:
Currently there’s a lot I want to improve, mostly the divergence detection and the overall sharpe ratio could be much better, but the current value of 0.5 gives me hope that the strategy is onto something. I also want to change TP from a percentage stop to something more dynamic but that might be too optimistic. The current plan is to paper trade test this either by manual or by a python bot, to see how it performs with some user input as well.
Chaikin Money Flow + MACD + ATRHere I present you on of Trade Pro's Trading Idea: Chaikin Money Flow + MACD + ATR.
This strategy is not as profitable as it can be seen in one of his videos. In the forex market, the strategy could reach a maximum of 35% profitability.
I have, as some of my followers have requested, created an overview of the current position, risk and leverage settings in the form of a table.
Furthermore, one can again swap between short and long positions.
It is now possible to select or deselect individual indicators.
I have chosen the ATR alone as a take profit stop loss, as in his strategy.
A position is only triggered as soon as all prerequisites have been fulfilled and a command is executed. This prevents false triggering by bots and repainting.
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How does the strategy work?
ENTRY
Long
The MACD indicator must be above the zero line.
Then the K line must cross the D line.
Finally, when this happens, the Money Flow Index must be above the zero line.
Short
Contrary to the premise of long positions.
EXIT
ATR Exit
The value of ATR at the time of buying is multiplied by the value entered in "Profit factor ATR" and "Stop factor ATR". As soon as the price reaches this value, it is closed.
Important
The script must be optimized for each coin or currency pair.
I will publish a guide to the strategy shortly. There I will explain how the table works and how to set the strategy correctly.
The results of the strategy are without commissions and leverage.
If you have any questions or feedback, please let me know in the comments.
DEMA/EMA & VOLATILITY (VAMS)The biggest issue with momentum following strategies is over signaling during whipsaw periods. I created this strategy that measure momentum with DEMA (Fast Moving) and EMA (Slow moving). In order to mitigate over signaling during whipsaw periods I implemented the average true range percentage (ATRP) to measure realized volatility. If momentum is picking up while volatility is under a certain threshold it purchases the security. If momentum slows while volatility picks up it sells the security. Additionally, if momentum picks up, but volatility is high, it stays out of the security. This follows the theory that during sustained uptrends volatility will decrease, and during market corrections the volatility picks up. Following the old adage that markets climb up the stairs, and fall out the window. Note that this strategy does repaint due to it entering and closing positions at the close of the bars. I forgot to mention how volatility is measured high vs low. If the ATRP is above the EMA of the ATRP the strategy interprets the volatility is increasing and does not enter the security & Vice Versa for selling (with momentum signal of MAs)
This is just my first strategy, any feedback would be much appreciated.
[KL] Relative Volume StrategyThis strategy will Long when:
Confirmation #1: when volume is relatively high
Confirmation #2: during periods of price consolidation (See )
It exits when either (a) stop loss limit is reached, or when (b) price actions suggest trend is bearish.
Measuring price volatility to assume consolidation:
For each candlestick, we quantify price volatility by referring to the value of standard deviations (2x) of closing prices over a look-back period of 20 candles. This is exactly what the Bollinger Band (“BOLL”) indicates by default.
Knowing the value of standard deviation (2x) of prices (aka the width of lower/upper BOLL bands), we then compare it with ATR (x2) over a user-defined length (can be configured in settings). Volatility is considered to be low, relatively, when the standard deviation (x2) of prices is less than ATR (2x).
RSI Strategy w/ Trailing SL / TP Optimized for Crypto [Strategy]This strategy is designed to use the RSI and EMA filters. A 200 period EMA is used for short / long filters, and the 50 period EMA is used to determine the direction of the short term trend.
In addition, the script uses "rate of change" for the fast EMA (trend), volume , RSI (momentum), and price (volatility) and only takes trades when all are in optimal conditions.
I.E., the EMA is in an uptrend, the volume is increasing, price is in an uptrend, and the RSI is in an uptrend, so we will place a Long trade.
This strategy uses EMAs as a trailing stop loss and take profit. As this is a trend following strategy, the idea is to maximize profits when correct and minimize losses when
wrong.
It was designed specifically using crypto pairs, and was optimized for the 10 minute chart.
My goal was to get the best use out of the RSI indicator. I was originally an MACD fanboy, but have recently converted.
Want to help me improve this code or strategy? Have suggestions for improvement? Leave them in the comments below.
Thanks for using my script! I hope it works well for you and good luck in the markets.
If you have any questions, please leave them in the comments and I'll do my best to respond.
This script does not repaint as it only relies on close data to make a decision to enter a trade.
How to use this strategy:
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Enable Long Entries? - Used to enable or disable the strategy from executing long entries.
Enable Short Entries? - Used to enable or disable the strategy from executing short entries.
How Many Bars To Look Back for Hi/Lo: - This is used for the Stop Loss and Take Profit targets. An integer of bars is used to look back and calculate the values.
RSI Length (Rec: 8) - The length of the RSI
Source - The RSI Source
Use Slow EMA? - If checked, a 200 period EMA will be used to filter entries long or short (only take shorts when the price is below, long when above). In addition, the script will close any trades that cross the 200 period EMA. By default this is disabled.
EMA Slow - the period of the Slow EMA (200 by default)
EMA Slow Src - what to use to calculate the Slow EMA (high by default)
EMA Fast - The Fast EMA (50 period) is used to calculate the direction of the short term trend. This also factored into the Rates of Change.
EMA Fast Src - what to use to calculate the Fast EMA
ATR Length - If used, the ATR length is used to calculate the Stop Loss and Take Profit targets.
SL Multiplier - The distance away from the initial value to multiply the Stop Loss
TP Multiplier - The distance away from the initial value to multiply the Take Profit.
Use EMA as SL / TP? - If true (default) a 3 period EMA is used to calculate Stop Loss and Take Profit targets. Else, an ATR is used to calculate these values.
Stop Loss / Take Profit Offset - Default: 3 - this is used to shift the EMA / ATR Stop Loss and Take Profit lines to the right X bars. This is to ensure that they are hit properly and not exceeded.
Short Len Vol - Use to calculate the volume of the short length, used in rate of change calculations
Long Len - Use to calculate the volume of the long length, used in rate of change calculations
RSI Long Entry Val - Minimum RSI crossover value to enter a trade Long. If the RSI is below this value, trade entries are not valid.
RSI Long Cutoff Threshold - Long entry RSI value cutoff to no longer enter trades. If the RSI is above this value, trades entries are not valid.
RSI Short Entry Val - Minimum RSI crossover value to enter a trade Short. If the RSI is above this value, trade entries are not valid.
RSI Short Cutoff Threshold - Short entry RSI value cutoff to no longer enter trades. If the RSI is below this value, trades entries are not valid.
ROC Fast EMA - Calculates the rate of change between the Fast Ema now and 'X' bars ago. For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
ROC Price - Calculates the rate of change between the most recent price close and 'X' bars ago. For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
ROC RSI - Calculates the rate of change between the RSI now and 'X' bars ago. For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
Use Close for SL - Default = Off - If checked, when a candle hits the stop loss, the trade will close on the next candle. If unchecked, the trade will remain open until the candle closes at or beyond the stop loss lines.
Custom Message Boxes - Primarily used for bots, but can be used to also insert your own messages for your trading alerts.
3 EMA + Stochastic RSI + ATR 3ESRA
v0.2a
Coded by Vaida Bogdan
3ESRA consists of a 3 EMA cross + a close above (for longs) the quickest EMA
or below (for shorts). Note that I've deactivated the RSI Cross Over/Under
(you can modify the code and activate it). The strategy also uses a stop loss
that's at 1 ATR distance from the entry price and a take profit that's at
4 times the ATR distance from the entry price.
Crypto EMA Trend Reversal StrategyThis is an EMA crossover strategy which involves 5 EMAs to trigger trades. The strategy has two take profit settings and uses a stop loss.
TP1 and SL are based on ATR and TP2 is an EMA crossover.
The strategy goes both long and short and the default settings work particularly well as a scalping strategy for ETHUSDT on the 5M time frame.
I have also created another version with tweaked settings for scalping LINKUSDT on the 5M with very similar results.
There is an option to add a volume condition parameter within the script on lines 26-28 which can be added to the end of lines 34-35 in the following format: and vol_cond
I personally don't currently use the volume condition parameter.
EMA RSI ATR Hidden Div Strat - 1 MinHey there!
Hereby I present you the EMA RSI Lowest Low Hidden Divergence strategy, which I discovered on a youtube channel.
He has tested the strategy hundreds of times manually, herewith I try to automate the whole thing.
Since I use the strategy with a bot, it can only enter long positions for now. But in the future I will add the possibility to trade short positions.
The strategy was tested with BTC/ USDT in 1m chart (8 days). The values must be adjusted depending on the timeframe and coin.
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How does the strategy work?
First of all, we need a bullish hidden divergence.
Once this is detected, the following parameters are checked:
The 50 EMA must cross the 250 EMA .
Then, the candle must close above the 50 EMA .
The K line of the RSI STOCH indicator need to crosses the D line.
If the next candle closes above the 50 EMA , a long position is opened.
The stop loss is determined with the "lowest low/highest high lookback".
The profit factor is multiplied by the value of the lowest low/highest high lookback.
The results of the strategy are without commissions and levers.
If you have any questions or feedback, please let me know in the comments.
In the future I will add other types of stop loss / take profits. (ATR; %; eg.)
I wish you good luck with the strategy!
HMA_ATR StrategyATR with HMA experimental minimalist bot for ETHBTC .
A strategy for use by Automated Algorithm systems.
Different from normal ATR as it uses HMA for smoothing.
Example settings result shown here on chart include commission 0.5%
[EURUSD60] BB Expansion StrategyOverview
This is a strategy that can be used in the EURUSD 60 time frame.
It is a trend-following method that uses Bollinger Bands Expansions.
The idea of using Bollinger Bands expansion is well known to the general public, but I don’t know any strategy that this idea has been PINE coded.
The three main components of this strategy are as follows.
・Long term BB and Short term BB : When the short term BB expands more than the long term BB, it suggests the occurrence of a trend.
・14EMA of 240 t/f : The direction of 14EMA of the upper time frame is used as the trend direction.
・ATR lines : As a stop-loss line and a take-profit line.
Description
Fig. Long entry pattern
Fig. Short entry pattern
・Description of lines
Gray : Large BB (=Long term BB)
White : Small BB (=Short term BB)
Blue or Red line : Upper t/f EMA(default: 14EMA), blue is up-trend, red is down-trend
Yellow : Stop loss line by ATR(the term is 14)
Purple : Take profit line by ATR(the term is 14)
・Description of strategy
First of all, when the small BB expands more than the large BB, this strategy detects the occurrence of a trend.
Second, When the price crosses over or crosses under small BB basis, this strategy entries long or short to trend direction (by upper time frame 14EMA).
The default stop-loss range is three times ATR value, and the default take-profit target is 1.5 times the stop-loss range (=risk reward ratio is 1.5).
Momentum Trading Strategy (Weekly Chart)The strategy will open position when there is momentum in the stock
The strategy will ride up your stop loss based on the super trend.
The strategy will close your operation when the market price crossed the stop loss.
The strategy will close operation when the line based on the volatility will crossed
AltTrader BackTester Swing&ScalpDrum Roll!
Major announcement here for the release of the backtesting script!
This script is the backtesting version of AltSignals Alt-Trader Scalp & Swing indicator
This indicator has all the same features but now you can see previous results
Things to note
Make sure the correct take profit % are selected and add up to 100
Make sure you select the correct timeframe to backtest, zoom out on web browser to see more dates
Remember backtesting does not predict the future, the market is an ever changing beast!
3x SuperTrend Strategy (Mel0nTek) V1This is a triple SuperTrend based strategy for lower time frame trades such as day trades and scalping. I have not seen many strategies that combine multiple SuperTrends so I thought I would publish this one since I put it together and have been quite happy with the results. I have found through testing that the best results are on currency exchange markets such as Crypto or Forex on 1-15 min time frames.
The core idea was inspired by a youtube video put out by Trade Pro:
"Trade Pro - HIGHEST PROFIT Triple Supertrend Trading Strategy Proven 100 Trade Results"
I went ahead and set the defaults to the ones he uses in his video for anyone who wants to try a configuration similar to his. They work pretty well in general, however the EMA, SuperTrend ATR multipliers, and P/L ratio can be tuned/optimized to fit the timeframe/market desired. The video is quite good but not a required watch as I will explain below.
The 200EMA is used as a medium-term trend direction indicator.
- Price closing consistently above the 200EMA means that only long positions should be entered.
- Price closing consistently below 200EMA means that only short positions should be entered.
The 3 SuperTrend indicators should be used as direction confirmation for entries. Typically, price above SuperTrend indicates bullish movement, while price below SuperTrend indicates Bearish movement. However by itself, it is not a great indication to enter/exit positions in my experience. By combining 3 of them with slightly longer periods and increased ATR multipliers, we can get much stronger confirmation of trend direction/strength.
The way they are used in this strategy is such that:
- We only want to enter a position if at least 2 out of 3 SuperTrends are on our side.
- 3/3 SuperTrends on our side is the best case, since we are taking trades WITH momentum/price strength.
- The second farthest SuperTrend from entry price is used as a Stop Loss
SuperTrend being on our side is not the only requirement for an entry however. The probability of success is increased with SuperTrend, and a longer EMA on our side, but we want to be sure that we aren't getting in too late/after the movement has already happened.
So we use Stoch RSI to pick our entries where price is oversold/overbought and reversing. That means the Stoch RSI is above 80, or below 20, and our indication to enter the trade is when the 2 lines cross/begin reversing direction.
So with trend direction on our side, we can get really good entries at these oversold/overbought extremes, especially as it's reversing (Stoch RSI K and D are crossing). This allows us to use the SuperTrend as a support/stop loss on our entry since price should be above it.
Then we just target 1.5x our max loss so that even if we only win 50% of the time, we still make a profit.
The explicit rules of this strategy are as follows:
=== Rules ===
long only
- price above EMA200
short only
- price below EMA200
Stop Loss = 2nd SuperTrend line above (short) or below(long) entry candle
Profit = 1.5x SL/risk (Profit Ratio x Max Loss)
=== Entry Setup ===
LONG
- Stoch RSI below 20, cross up
- at least 2 SuperTrend lines below close
SHORT
- Stoch RSI above 80, cross down
- at least 2 SuperTrend lines above close
P.S. Special thanks to Trade Pro for producing so many quality videos, putting strategy claims to the test, and providing me with so many good ideas I apply to my own strategies.
[KL] Bollinger bands + RSI StrategyThis strategy is based on two of my previous scripts, one called “RSI14 + 10”; the other one called “Bollinger Bands Consolidation”. At its core, it combines the main setups from each of those two scripts but excludes the auxiliary features that were considered as experimental. This strategy will identify periods of squeeze, and then enter long during consolidation with a trailing stop loss set.
Primary indicator will be the Bollinger Bands. By comparing the width of the BBs with the ATR of the same lookback period (i.e. 2 standard deviations of the 20 recent closing prices vs ATR(20) x2), we begin to look for confirmation for entry whenever the standard deviation of prices is less than the ATR. This can be seen visually in the plots (i.e. default gray lines representing ATRx2 relative to BB center line).
Confirmation for entry will be the RSIs (slow-14, and fast-10). If both are upward sloping, then we assume prices are in an uptrend and may eventually break above upper band. RSIs are typically in mid-range when prices are consolidating, therefore no need to measure it.
Exits will happen in two cases, (1) when trailing stop loss hits, or (2) when RSIs signal that the instrument is overbought. No. 1 is self-explanatory. No. 2 happens, when RSI14 reaches above 70 (can be changed), followed by RSI10 catching up and surpassing RSI14.
