Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2
This script was originally shared by Wunderbit as a free open source script for the community to work with. This is my second published iteration of this idea.
WHAT THIS SCRIPT DOES:
It is intended for use on an algorithmic bot trading platform but can be used for scalping and manual trading.
This strategy is based on the trend-following momentum indicator . It includes the Money Flow index as an additional point for entry.
This is a new and improved version geared for lower timeframes (15-5 minutes), but can be run on larger ones as well. I am testing it live as my high frequency trader.
HOW IT DOES IT:
It uses a combination of MACD and MFI indicators to create entry signals. Parameters for each indicator have been surfaced for user configurability.
Take profits are now trailing profits, and the stop loss is now fixed. Why? I found that the trailing stop loss with ATR in the previous version yields very good results for back tests but becomes very difficult to deploy live due to transaction fees. As you can see the average trade is a higher profit percentage than the previous version.
HOW IS MY VERSION ORIGINAL:
Now instead of using ATR stop loss, we have a fixed stop loss - counter intuitively to what some may believe this performs better in live trading scenarios since it gives the strategy room to move. I noticed that the ATR trailing stop was stopping out too fast and was eating away balance due to transaction fees.
The take profit on the other hand is now a trailing profit with a customizable deviation. This ensures that you can have a minimum profit you want to take in order to exit.
I have depracated the old ATR trailing stop as it became too confusing to have those as different options. I kept the old version for others that want to experiment with it. The source code still requires some cleanup, but its fully functional.
I added in a way to show RSI values and ATR values with a checkbox so that you can use the new an improved ATR Filter (and grab the right RSI values for the RSI filter). This will help to filter out times of very low volatility where we are unlikely to find a profitable trade. Use the "Show Data" checkbox to see what the values are on the indicator pane, then use those values to gauge what you want to filter out.
Both versions
Delayed Signals : The script has been refactored to use a time frame drop down. The higher time frame can be run on a faster chart (recommended on one minute chart for fastest signal confirmation and relay to algotrading platform.)
Repainting Issues : All indicators have been recoded to use the security function that checks to see if the current calculation is in realtime, if it is, then it uses the previous bar for calculation. If you are still experiencing repainting issues based on intended (or non intended use), please provide a report with screenshot and explanation so I can try to address.
Filtering : I have added to additional filters an ABOVE EMA Filter and a BELOW RSI Filter (both can be turned on and off)
Customizable Long and Close Messages : This allows someone to use the script for algorithmic trading without having to alter code. It also means you can use one indicator for all of your different alterts required for your bots.
HOW TO USE IT:
It is intended to be used in the 5-30 minute time frames, but you might be able to get a good configuration for higher time frames. I welcome feedback from other users on what they have found.
Find a pair with high volatility (example KUCOIN:ETH3LUSDT ) - I have found it works particularly well with 3L and 3S tokens for crypto. although it the limitation is that confrigurations I have found to work typically have low R/R ratio, but very high win rate and profit factor.
Ideally set one minute chart for bots, but you can use other charts for manual trading. The signal will be delayed by one bar but I have found configurations that still test well.
Select a time frame in configuration for your indicator calculations.
Select the strategy config for time frame (resolution). I like to use 5 and 15 minutes for scalping scenarios, but I am interested in hearing back from other community memebers.
Optimize your indicator without filters : customize your settings for MACD and MFI that are profitable with your chart and selected time frame calculation. Try different Take Profits (try about 2-5%) and stop loss (try about 5-8%). See if your back test is profitable and continue to optimize.
Use the Trend, RSI, ATR Filter to further refine your signals for entry. You will get less entries but you can increase your win ratio.
You can use the open and close messages for a platform integration, but I choose to set mine up on the destination platform and let the platform close it. With certain platforms you cannot be sure what your entry point actually was compared to Trading View due to slippage and timing, so I let the platform decide when it is actually profitable.
Limitations: this works rather well for short term, and does some good forward testing but back testing large data sets is a problem when switching from very small time frame to large time frame. For instance, finding a configuration that works on a one minute chart but then changing to a 1 hour chart means you lose some of your intra bar calclulations. There are some new features in pine script which might be able to address, this, but I have not had a chance to work on that issue.
Осцилляторы
Gap Reversion StrategyToday I am releasing to the community an original short-term, high-probability gap trading strategy, backed by a 20 year backtest. This strategy capitalizes on the mean reverting behavior of equity ETFs, which is largely driven by fear in the market. The strategy buys into that fear at a level that has historically mean reverted within ~5 days. Larry Connors has published useful research and variations of strategies based on this behavior that I would recommend any quantitative trader read.
What it does:
This strategy, for 1 day charts on equity ETFs, looks for an overnight gap down when the RSI is also in/near an oversold position. Then, it places a limit order further below the opening of the gapped-down day. It then exits the position based on a higher RSI level. The limit buy order is cancelled if the price doesn't reach your limit price that day. So, the larger you make the gap and limit %, the less signals you will have.
Features:
Inputs to allow the adjustment of the limit order %, the gap %, and the RSI entry/exit levels.
An option to have the limit order be based on a % of ATR instead of a % of asset price.
An optional filter that can turn-off trades when the VIX is unusually high.
A built in stop.
Built in alerts.
Disclaimer: This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Vix FIX / StochRSI Strategy
Updated to Pine V5
Enter upon a filtered or aggressive entry
If there are multiple entry signals, allow pyramiding
Exit when there is Stochastic RSI crossover above 80
Work with some futures and futures timeframes
Based on Chris Moody's Vix Fix
The Impossible TraderTHE IMPOSSIBLE TRADER
A simple, but effective High Freq Strategy script based on MACD or RSI trend, with extra customizable Alert Messages for Bots.
WHAT IT DOES
This script (works best at lower TimeFrames) just follow the trend of MACD or RSI on your asset.
Why it should work? Because in an upper trend, there are more chance of green candles than reds. And in dump trend there are more chance of red candles than greens.
While trend is positive, it will try to open Long orders as fast as possible at market price.
While trend is negative, it will try to open Short orders as fast as possible at market price.
HOW TO SETUP YOUR PREFERENCES
Capital : Insert a % of Margin you want to use for your positions (usually 30% is quite good)
Leverage : Choose leverage based on your plans
Trail Tick @ : This value (in Tick) tell the script "when" the "Trail Stop" order must be activated (from the Entry price)
Offset Tick @ : This is the price (in Tick) from the Trail Stop Price activated. Basically it is a Stop Loss that follow the price at a fixed distance.
SL Tick @ : Set a Stop Loss at amount Tick distance from the Entry Price. (Let's call it a Safety Stop Loss for bad decisions...)
TP Tick @ : Set a Take Profit at amount Tick distance from the Entry Price. Sometimes is better to exit in full Gain than keep positions.
Strategy : You can choose a Only Long, Only Short or Long+Short sametime strategy.
with MACD or RSI : You can try the strategy applied on MACD or applied on customizable RSI EMA
EMA : If you choosed RSI EMA, you can set any value for your testing (usually 80-120 works very nice)
Exit order after bars : Some Exchanges / Brokers apply fixed cost, and a strategy too fast could not be productive. This set will let you to delay the Exit Order on already Opened positions.
Keep Stop Loss active : If you are planning a delay for Exit Orders, sometime could be useful to keep activated Stop Loss.
Strategy Preset : Some preset I've found interesting, with good results.
BackTest Days : If there are too many results and script doesn't work, you can choose a closer range to show results.
EXTRA FEATURES
On Screen Display : OSD will show you some realtime stats about your strategy, like Asset Tick, Trading Period Range, Drawdown, Gains and not closed trade.
Alert Message : You can enter custom Long Entry/Exit and Short Entry/Exit message for your Bots (like AutoView, WunderBit, etc...). When alert is triggered, you can send custom message with {{strategy.order.comment}} in the text field
AutoView Alert Message : If you are user of AutoView, you can generate your calls. Those are tested only on Oanda with index like Sp500, US100, Us30.
TIPS ON USE
Some asset on TradingView require an higher initial capital. Go to this Script Settings -> Properties and rise Initial Capital.
Be aware of commissions and spread when evalutating a strategy. Go to this Script Settings -> Properties and set Commission and Slippage
Trail Stop and Ticks could be difficult to understand, but very profitable. Please take your time and study how it works.
Consider Tick like the minimum movement your asset can do. Ticks occurs "intra-bar", so some of your positions could be closed almost instantly.
Consider Trail Stop like a Stop Loss that keep always the same distance from your positions, but never came back . If you are in gain, say of 10 Ticks, and your Trail have 5 Ticks, this means for sure a close at minimum 5 Ticks from Entry Price.
On Screen Display will show you Ticks for your asset. This will help you on strategy settings, because not all asset responds on the same way.
ONLY LONG EXAMPLE
ONLY SHORT EXAMPLE
Soren test 222Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)
# Can still trade both long or short
strategy.risk.allow_entry_in() can also allow our strategy to trade both long or short. That’s a bit silly, since this is already the default behaviour. But to cod
Soren test 2Me cool u bad
Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)
Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)
Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)
Boom Hunter + Hull Suite + Volatility Oscillator StrategyTRADE CONDITIONS
Long entry:
Boom Hunter (leading indicator): Trigger line crosses over Quotient 2 line (white cross over red)
Hull Suite (trend confirmation): Price closed above hull suite line and hull suite is green (represented by horizontal line at -10 in strategy pane)
Volatility Oscillator (volatility confirmation): Volatility spike trigger line is above upper band (represented by horizontal line at -30 in strategy pane)
Short entry:
Boom Hunter (leading indicator): Trigger line crosses under Quotient 2 line (white cross under red)
Hull Suite (trend confirmation): Price closed below hull suite line and hull suite is red (represented by horizontal line at -10 in strategy pane)
Volatility Oscillator (volatility confirmation): Volatility spike trigger line is below lower band (represented by horizontal line at -30 in strategy pane)
Risk management:
Each trade risks 3% of account (configurable in settings)
SL size determined by swing low/high of previous X candles (configurable in settings) or 1 ATR if swing is less than 1 ATR
TP is calculated by Risk:Reward ratio (configurable in settings)
TIPS
Timeframe: I have found good results running on BTC/USDT 5M chart
Note: To help visual identification of trade entries and exits you may wish to add the Hull Suite and Volatility Oscillator to the chart separately. It was not possible to display them in a clear way within a single panel for the strategy. Make sure you set the settings of the auxiliary indicators to match what is in the settings of this indicator if you do decide to add them.
CREDITS
Boom Hunter Pro by veryfid
Hull Suite by InSilico
Volatility Oscillator by veryfid
Hyper Bot | Self Optimizing Buy & SellThis strategy primarily uses Bollinger Bands with custom improvements and alterations in entry exit signals which i have learned over the past years.
How to use?
Visit strategy settings. You will see checkboxes before all options, meaning they can be turned ON and OFF.
For "Long SL %" to work, the "LONG" should be enabled aswell. If Long is not enabled, changing numbers in "Long SL%" won't make any difference.
Likewise if you want to test take profit, then either long or short or both should be enabled with "TP Long%" or "TP Short%"
This wide customization is being provided for you to be able to test all possible variations and choose whichever best is working for you. Play around with the numbers of SL% and TP% and find best ones that work for you in terms of drawdown, risk to profit etc.
Commission 0.1% by default is included, if however your commissions are lower, please change them to get better results.
This strategy is mainly optimized for Cryptocurrencies, however if you wish to use for indices and commodities please DM me, i will provide customization services.
Enjoy!
© Copyright 2022 "M Tahreem Alam"
Wavelet Trade StrategyThe strategy was based on Wavelet and Trend to find a small wave trade :
Wavelet Concepts
A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets are termed a "brief oscillation".
1. A price of wavelets has been established, based on the bar and direction of its pulses.
2. Wavelet uses transforms to decompose the price and time series data.
3. Then, the obtained approximation and detail components after decomposition are used to forecast future prices.
What it does :
In each small wave, find potential high and low. filter by trend to know higher high or lower low and trade by this strategy.
you could not buy the bottom and sell the top every time, but is close in local range by a small wave.
How it does it :
The wavelet can be used to analyze waves in space and reduce noise, while retaining the important components. Whenever the ADX falls below a certain threshold, a bottom blue line will appear. It means the price is into range, otherwise trend.
How to use it :
The recommended time frame is less than 12 hours.
Set parameters to fine tune your strategy.
Use SL/TP as part of your strategy, and change date to find the most weak time.
Default parameter is for BTC fine tune :
The performance overview is from 2021-01-01 to 2022-05-30.
StochRSI + MA Strategy [Kintsugi Trading]What is the StochRSI + MA Strategy?
This premium indicator was inspired by my desire to find and place high probability forex trades in any market, direction, or time of day.
Why Forex?
The Forex markets operate 24 hours, 5.5 days a week
Access to meaningful leverage
Ability to easily trade long or short
High liquidity
How to use it!
----- First, start by choosing a Stop-Loss Strategy, Stop PIP Size, and Risk/Reward Ratio -----
- Stop-Loss Strategy
ATR Trail (No set Target Profit, only uses ATR Stop)
ATR Trail-Stop (Has set Target Profit, however, stop is based on ATR inputs)
Fixed PIP Size
**If you choose an ATR Stop-Loss Strategy - input the desired ATR period and Multiple you would like the stop to be calculated at**
**ATR Stop-Loss Strategies have a unique alert setup for Auto-Trading. See Auto-Trading Section**
- Stop PIP Size = How many PIPs will be representative of the max risk. i.e. - if you are risking $100 and you set the PIP stop to 10, that means 10 PIPs = $100.
- Risk/Reward Ratio = If you have a .5 risk/reward, it means you are risking $100 to make $50.
----- Next, we set the Session Filter. -----
Set the Timezone and Trade Session you desire. If no specific session is desired, simply set the Trade Session to 00:00 - 00:00.
----- Next, we set the Moving Average Cloud. -----
Enter the Moving Average Type:
Simple Moving Average
Exponential Moving Average
Hull Moving Average
Weighted Moving Average
Smoothed Moving Average
Double Exponential Moving Average
Triple Exponential Moving Average
Enter the fast, medium, and slow Moving Average Period you would like the Strategy to use. If you would like like to use (2) Moving Averages, simply set two of the Periods the same.
These inputs will determine whether the strategy looks for Long or Short positions.
**Boxes on the left of the fast, medium, and slow Moving Average Periods**
If you check any of these boxes, the strategy will ignore and set up where the price is trading below the checked moving average.
----- Next, we set the Stochastic RSI Parameters. -----
In combination with the Moving Average Cloud, the Stochastic RSI will help us determine when to take a trade and in what direction.
The strategy is essentially looking for small reversals going against the overall trend and placing a trade once that reversal ends and the price moves back in the direction of the overall trend.
The Stochastic RSI + MA Strategy utilizes confirmation between extreme RSI calculations and the overall trend as measured by (3) separate Moving Averages.
The Stochastic RSI is completely customizable by:
Long Entry Bar Cross Below
Short Entry Bar Cross Above
K
D
RSI Length
Stochastic Length
RSI Source
----- Finally, we backtest our ideas. -----
After using the 'Strategy Tester' tab on TradingView to thoroughly backtest your predictions you are ready to take it to the next level - Automated Trading!
This was my whole reason for creating the script. If you work a full-time job, live in a time zone that is hard to trade, or just don't have the patience, this will be a game-changer for you as it was for me.
Auto-Trading
When it comes to auto-trading this strategy I have included two options in the script that utilize the alert messages generated by TradingView.
*Note: Please trade on a demo account until you feel comfortable enough to use real money, and then please stick to 1%-2% of your total account value in risk per trade.*
AutoView
PineConnector
**ATR Auto-Trading Alert Setup**
How to create alerts on Stoch+MA Strategy
For Trailing Stops:
1) Adjust autoview/pineconnector settings
2) Click "add alert"
3) Select "Condition" = Strategy Name
4) Select "Order Fills Only" from the drop-down
3) Remove template message text from "message" box and place exact text. {{strategy.order.alert_message}}
4) Click "create"
For Fixed Pip Stop:
1) Adjust autoview/pineconnector settings
2) Click "add alert"
3) Select "Condition" = Strategy Name
4) Select "alert() function calls only"
5) I like to title my Alert Name the same thing I named it as an Indicator Template to keep track
Good luck with your trading!
parabolic sar with ema and rsi, this strategy includes 3 free trading view indicators, with HIGH ken ashee candles , now lets go ahead and add them to our chart ,
the 1st indicator is parabolic saarr and the 2nd indicator is E M A , and the final one is R S I , and we have to change some settings , change this E M A length from 9 to 200 ,
and change some settings on R S I indicator , so lets remove all options except for , the R S I , and the R S I middle band , and parabolic saarr on default sittings , now our strategy is ready , lets go into trading rules .
for a long signal to be valid , the price must be above 200 E M A ,with NEW buy signal from parabolic saarr, if , R S I above the middle 50 line
for a short signal to be valid , the price must be below 200 E M A , with NEW SELL signal from parabolic saarr ,if ,R S I BELOW 50 line
now we can go ahead and take a SHORT position
our stoploss must be above the recent higher high
and the risk to reward ratio will be 2
Oversold RSI with tight SL Strategy (by Coinrule)This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your trading bot rules.
ENTRY
1. This trading system uses the RSI ( Relative Strength Index ) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30.
2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal.
EXIT
The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride.
The best time frame for this strategy based on our backtesting data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our backtesting data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 39.31% on Chainlink with 61.54% of trades being profitable.
Sideways Strategy DMI + Bollinger Bands (by Coinrule)Markets don’t always trade in a clear direction. At a closer look, most of the time, they move sideways. Relying on trend-following strategies all the time can thus lead to repeated false signals in such conditions.
However, before you can safely trade sideways, you have to identify the most suitable market conditions.
The main features of such strategies are:
Short-term trades, with quick entries and quick exits
Slightly contrarian and mean-reversionary
Require some indicator that tells you it’s a sideways market
This Sideways DMI + Bollinger Bands strategy incorporates such features to bring you a profitable alternative when the regular trend-following systems stop working.
ENTRY
1. The trading system requires confirmation for a sideways market from the Directional Movement Index (DMI) before you can start opening any trades. For this purpose, the strategy uses the absolute difference between positive and negative DMI, which must be lower than 20.
2. To pick the right moment to buy, the strategy looks at the Bollinger Bands (BB). It enters the trade when the price crosses over the lower BB.
EXIT
The strategy then exits when the move has been exhausted. Generally, in sideways markets, the price should revert lower. The position is closed when the price crosses back down below the upper BB.
The best time frame for this strategy based on our backtest is the 1-hr. Shorter timeframes can also work well on certain coins that are more volatile and trade sideways more often. However, as expected, these exhibit larger volatility in their returns. In general, this approach suits medium timeframes. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Optimised RSI strategy for Reversals (by Coinrule)The most common way to use the RSI to spot a good buy opportunity is to check for values lower than 30. Unfortunately, the RSI can remain in oversold territory for long periods, and that could leave you trapped in a trade in loss. It would be appropriate to wait for a confirmation of the trend reversal.
In the example above I use a short-term Moving Average (in this case, the MA9) coupled with an RSI lower than 40. This combination of events is relatively rare as reversal confirmations usually come when RSI values are already higher. As unusual as this setup is, it provides buy-opportunities with much higher chances of success.
The parameters of this strategy would be:
ENTRY: RSI lower than 40 and MA9 lower than the price
TAKE PROFIT and STOP-LOSS with a ratio of at least 2. That means that if you set up a take profit of 3%, your stop-loss shouldn’t be larger than 1.5%.
The advantage of this approach is that it has a high rate of success and allows you the flexibility of setting up the percentages of the take profit and stop-loss according to your preferences and risk appetite.
HULL SUIT ,VORTEX,VOLUME OSC this strategy includes 3 free tradingview indicators
the 1st indicator is hull suit and the 2nd indicator is vortex and the final one is volume oscillator
for a long signal to be valid
the price must be above green hull suit line
, with new bullish cross on vortex , the blue line has to crossover the red line this would be anew signal to entr long position if volume oscillator above zero line , our stoploss must be under the recent lower low
and the risk to reward ratio will be 1.5
for a short signal to be valid , the price must be below red hull suit line
, with new cross on vortex , the red line has to crossover the blue line this would be anew signal to entr short position if volume oscillator above zero line ,
and lets see what happened to our trade
QQE MOD , RSI , VOLUME so this strategy includes 3 indicators
the 1st one is Q Q E mode on default sittings
the 2nd one is R S I with the following settings
R S I length from 14 to 40
and M A length from 14 to 150
the 3rd one is volume flow indicator with the following settings
max vol cutoff from 2.5 to 0.5
and signal length from 5 to 20
in long condition
for a long signal to be valid
we need to have a new blue histogram appeared on our q q e mode and the R S I purple line is above yellow moving average and finally the green line of the volume indicator is
above the orange line and both have to be above zero level
and once we have all these conditions fulfilled we can go ahead and take a long position
our stoploss must be under the recent lower low
and the risk to reward ratio will be 1.5
and lets see what happened to our trade
as we can see it hit the target
for a short signal to be valid
we need to have a new red histogram appeared on our q q e mode and the R S I purple line is below yellow moving average and finally the green line of the volume indicator is
below the orang line and both have to be below zero level
and once we have all these conditions fulfilled we can go ahead and take a short position .
our stoploss must be above the recent higher high
and the risk to reward ratio will be 1.5
Scalp 1min CryptoThis scalping strategy is designed for 1min timeframe.
It uses indicators: SuperTrend 15m ( is used to filter the trade as to open only long position or short position), Wavetrend 1min, Bollinger Band 3min, Stoch 3min to find entry.
TP: optimized value : 0.5 - 1
Stoploss: You have two choice: % or when SuperTrend reverse
If you would like use scripts, please ib to me.
You are welcom!
Dillon's Double VWAP StrategyThis is based on Dillon's double VWAP strategy.
I enters when the ADX is low (aka not a trending market) and it's not close to the VWAP reset. Check it out.
Crypto Correlation Strategy based on Technical Ratings This is a swing trading crypto correlation strategy, based initially on technical ratings but adapted to the entire crypto market environment , by using as a source of calculations the candle values from CRYPTOCAP:TOTAL.
So since TOTAL, is the sum of all the crypto currencies, its going to be our leader. We will get the entries and exits , internally from it and input them into the crypto coins(more than 80-90% of the usdt perpetual pairs are following the same direction but with a higher volatility), and with this in general is going to give us as much better risk/reward than just by trading 1 coin alone.
So this means that all coins will enter and exit at the same time forom a trade. With this, since sometimes we have sudden big changes in the price form one side to another, is going to break a little this effect and since the initial movements were bigger, it would make us lose less. At the same time it can also make us lose more if the changes happen to soon.
One of the things of this particular idea is we dont have to worry about particular optimizations for each asset/coin.
This scenario has been adapted for 30min timeframe, using 0.1% comission per entry and 0.1% comission for exit from the trade.
I have tested so far with most USDT Perpetual Pairs from binance, and it seems to give good results with most of the pairs.
If you have any question please let me know !
EMA Stoch Strategy For ProfitViewThis strategy will enter positions when the set stochastic conditions are met, and uses the moving average to filter the direction of the trades (long/short). The background is used to illustrate the strength of the stochastic values.
The following is a step by step guide in order to automate the trading of the strategy with ProfitView:
In the indicator settings, set the desired stochastic and ema values, and the stochastic condition you want to use to enter a trade.
In the indicator, set which exchange, symbol, and account to execute trades on.
In the indicator, set the PV Alert names you intend to use. If you want to use the same names as provided in the pastebin below, you may set the three names to Market Long, Market Short, TP SL Hit.
In PV, create two new PV Alerts in the PV Alert tab in accordance to these specifics pastebin.com .
On the Tradingview chart you want the indicator run on, create a new TV alert with this script as its condition, and specify the alert to "alert() function calls only".
MindJacked Stoch StratAs part of the How To Trade Crypto With a Full Time Job Series, this strategy has been developed to help you with the Stoch180 method.
With this strategy, you can:
> Change up Stochastic parameters;
> Select what EMA you'd like to use, as well as open, close etc;
> Change the signal options as you wish on the oscillator;
> Choose your long or short signal types in the form of:
-----> Stoch Below or Above Value
-----> K&D Cross Above or Below Value
-----> Stoch Cross Up or Below the Value
> You can choose your Backtesting timeframe / limits
> You can change the % of your TP and SL (use this to then work out R:R values)
> You can also (as per typical) change up your base currency, units, order size, pyramiding, commissions etc
> Per typical with strategies, you can also change up the style etc as you see fit
Thanks for using it! Mindset_BTC
Hull Suite + Stoch RSI Strategy v1.1 This strategy uses Hull Suite with Stoch RSI
Uses Hull Suite as trend and only trades with the direction of the trend.
Entry conditions:
Hull Suite as a trend
Stoch RSI overbought for short entries & oversold for long entries
Current parameters works best on BINANCE:BNBBUSDPERP pair.
QQE MOD + SSL Hybrid + Waddah Attar ExplosionTRADE CONDITIONS
Long entry:
QQE Mod changes to Blue (leading indicator)
SSL Hybrid is Blue and price is above MA Channel line
Waddah Attar Explosion is Green and above Explosion line
Short entry:
QQE Mod changes to Red (leading indicator)
SSL Hybrid is Red and price is below MA Channel line
Waddah Attar Explosion is Red and above Explosion line
Risk management:
Each trade risks 2% of account (configurable in settings)
SL size determined by swing low/high of previous X candles (configurable in settings)
TP is triggered on SSL Hybrid EXIT arrow signals
TIPS
Timeframe: Personally I've found best results running this on 1H timeframe.
Note: To help visual identification of trade entries and exits you may wish to add the SSL Hybrid and Waddah Attar Explosion to the chart separately. They are being used to determine trade entry/exit within the code of this strategy but it was not possible to display them in a clear way within a single panel. Make sure you set the settings of the auxiliary indicators to match what is in the settings of this indicator if you do decide to add them.
CREDITS
QQE MOD byMihkel00
SSL Hybrid by Mihkel00
Waddah Attar Explosion by shayankm
