Supertrend + RSI Strategy [Alose]This strategy combines the best of both indicators (Supertrend & RSI).
As we know, Supertrend is excellent at finding changes in the market trend and thus finding the best entries, however in my opinion it has a great weakness and it is that it does not know how to find the best exit point.
For this reason I decided to combine it with the RSI that we know usually knows the highest and lowest rebound points of the price, thus managing to find the best exit point for the strategy.
The best thing about combining these 2 indicators is that our trades will obtain better profits in less time.
LONG ENTRY
When SuperTrend changes its direction and it is less than 0.
LONG EXIT
There are two ways to close the trade:
When RSI is overbought, you can choose the "Overbought Level " inside the strategy settings (Default: 72).
When SuperTrend changes its direction and it is grater than 0.
SHORT ENTRY (You can enable short entries in strategy settings)
When SuperTrend changes its direction and it is grater than 0.
LONG EXIT
There are two ways to close the trade:
When RSI is oversold, you can choose the "Oversold Level " inside the strategy settings (Default: 28).
When SuperTrend changes its direction and it is less than 0.
Oscillators
grid strategy longDesign ideas for the first edition:
Only go long, not short, choose a time period when the general trend is up. The default grid size is 1x ATR, the next one, two, and three grids will take orders, and the fifth grid will stop loss. When the empty position reaches the upper grid, the grid as a whole rises.
Chinese Introduction:
只做多、不做空，选择大趋势向上的时间段。网格大小默认为1倍ATR，往下1、2、3个网格吃单，第5个网格止损。空仓时到达往上一个网格则网格整体抬升。
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.
You can execute this strategy on your favourite exchange at coinrule.com.
RSI multitimeframe SMA crossoverStrategy based on the multi timeframe equally weighted RSI moving averages turned into single average and then cross of the 2 combined outputs, seems to be promising, default settings work good on 5m chart(better entry) but very filtered trade amount. If you want to use it on different timeframes be my guest and mess with adjustments, pretty much every aspect of strategy is adjustable, idea is same. If somebody liked the idea and able to improve it - share with me :)
John F. Ehlers Center Of Gravity Balanced by [DM]Greetings to all colleagues.
I share this indicator turned into a strategy, (this is one of my first strategies so some inputs are missing and others are somewhat archaic)
this cog is formed by three signals which can be reduced by dividing by phi
Available settings:
Length setting for signal
Trigger parameter setting for strategy
stoploss settings
trailing stop settings
tp settings
I hope it fuels your curiosity
The Center of Gravity (COG) indicator is a technical indicator developed by John Ehlers in 2002, used to identify potential turning points in the price as early as possible. In fact, the creator John Ehlers claims zero lag to the price, and the smoothing effect of the indicator helps to spot turning points clearly and without distractions.
DI Crossing Daily Straregy HulkTradingSimple strategy based on crossing DI+ and DI- and Average True Range.
Long entry when DI+ crossover DI-
Short entry when DI+ crossunder DI-
Stop Loss and Take Profits based on Average True Range.
Default values are 1*ATR(14) for stop loss and 2*ATR(14) for Take Profit.
Risk reward 1 to 2 ratio.
Recommended default values, but you can change it if you want.
Recommended timeframe - 1D.
Script was tested on BTCUSDT pair and have a 2.4 profit factor.
TradingGroundhog - Strategy & Fractal V1#-- Public Strategy - No Repaint - Fractals -- Short term
Here I come with another script, more simple than Wavetrend V1. You will love it.
#-- Synopsis --
Another simple idea, on a small time frame (15 min) we buy when the opening price goes below a Bottom fractals and sell when it goes over a Top fractals, but as this script do not use Wavetrends. You should stop by your self to use the script during long lasting downtrends.
I developed the strategy using BTC /EUR 3 MIN BINANCE but it can be applied to many other cryptos, I don't know for forex or others. You can use it for short term (to a month of uptrend) and automated trading.
#-- Graph reading --
And now, how to read it ?
Fractals:
Yellow Flags occur when the opening price goes below a Bottom fractal , it means Buy.
White Flags appear when the opening price goes over a Top fractal , it means Sell.
#-- Parameters --
*** Parameters have been intensively optimized using 10 cryptocurrency markets in order to have potent efficiency for each of them. I would recommend to only change the Can Be touch parameter. For the others, I don't recommend any modifications. The idea behind the script is to be able to switch between markets without having to optimize parameters, less work, easy to target active crypto and therefor limit the risks. ***
Can be touch :
'Filter fractals' : Activate or Disable the filtering fractal operation. If Enable, buy during less risky periods. (Activate is often better)
Can be touch but not necessary :
'VolumeMA' : The Volume corrector used by the fractals
'Extreme window' : The number of price individuals to look for if we want to remove extreme fractals.
Not to touch :
'Long Sop Loss (%)' : The minimal difference of price between a Fractal bottom and the opening price to buy.
#-- Time frame --
Should be used with the following time frames depending on the necessity:
1 MIN
3 MIN (Preferred with the parameters set)
5 MIN
#-- Last words --
The script can be set up to send Tradingview signals to 3comma just by adding comment = " " in strategy.close_all() and strategy.entry().
Good trades !
Disclaimer (As it should always be one to any script)
***
This script is intended for and only to be used for personal purposes only. No such information provided by it constitutes advice or a recommendation for any investment or trading strategy for any specific person. There is no guarantee presented or implied as to the accuracy of specific forecasts, projections, or predictive statements offered by the script. Users of the script agree that its original developer does not take responsibility for any of your investment decisions. Please seek professional advice before trading.
***
# Here are the results from the 20rst of September 2021 with 100% of equity on the BTC /EUR 3 Min and with a capital of 10 000 EUR. So almost, one month.
# As I saw, it goes from +30% to more than +160% (the great SHIB) depending on the selected crypto. It may be negative if you spot a downtrend.
Volume Difference Delta Cycle OscillatorVolume Difference Delta Cycle Oscillator indicator:
Using the power of my Volume Difference Indicator and standard deviations based on Bollinger Bands and more, we present this wonderful indicator with the following features:
Price Action Histogram: This is the bread and butter of this graph, if the PAH is above 0, this is considered a BULL cycle, and if below 0, this is considered a BEAR cycle. The histogram will move up and down based on the Histagram settings you set in the properties field. Be careful, we advise using default settings.
Custom Overbought & Oversold Lines:mean
These lines can be used to identify when to buy and sell the security, and help you make sense of the action of the histogram. Change the color, size, and linewidth!
These lines are what are used to perform the trades with the strategy as well, so if you change them, they will make an impact on the strategy itself.
EzSpot Background:
Do you want to turn your brain off and just trade when you you're inside an Overbought or Oversold line? Awesome! Turn on EzSpot backgrounds, and when it's green, go long, when it's red go short! Simple as that!
How it works:
By taking the Delta of the Volume Difference Indicator we're able to find the rate of change of the amount of change of volume, allowing us to see changes in volume before price changes. To add onto these, we supercharge it by taking the output of this line as the input source of bollinger bands which we use to output the %B of the Delta of the Volume Difference Indicator.
Separately, we calculate the %B of the current close to use later.
The final step is taking the second %B (which is an indication of where price lies on the curve of historical price data), and from it subtract the first %B, which allows us to visualize the standard deviation of the closing price, minus the standard deviation of Delta of the Volume Difference , which in essence allows us to see when volume changes but price does not and vice versa.
This final output is then plotted along with an over bought and over sold line, which we use to perform our trades on.
Simplified: This indicator shows the cycles of price action - volume based on the rate of the rate of volume changes based on price and the closing price.
Super Simple: Notice when volume increases but price hasn't, and vice versa with this indicator.
RSI StrategyThis RSI strategy is different than most in that it doesn't pick a buy signal based on the RSI rising above a specific number (usually 30). Instead, it creates a 14 day exponential moving average of the Relative Strength Index and uses the following two conditions together to trigger a buy:
Entry conditions:
Condition1: Rising of the RSI's moving average for (user defined) candles in a row
Condition 2: The RSI is < 70
The reasoning behind condition 1 is that we are trying to buy into a rising trend, the moving average helps to confirm the trend, whereas the RSI rising above a specific number (usually 30) gives us no real indication that the asset will increase and produces less wins overall. The reasoning behind condition 2 is to avoid buying at the top of a climb.
Exit conditions:
Condition 1: The RSI moving average is falling
Condition 2: Close < Trailing stop activation Level
Condition 3: We have at least (user defined) % profit
The reasoning behind sell condition 1 is a falling RSI moving average (down trend starting). The close has to be under the trailing stop activation level, if we've triggered the trailing stop, we want the trailing stop to do it's job and not exit the trade until the trailing stop takes us out. The reasoning behind condition 3 is to not exit without at least some profit (user defined).
Supertrend + Stoch StrategyA strategy using ema , supertrend and stochastic .
Long entry conditions:
1. EMA 25 > EMA 50 and EMA 100 > EMA 100.
2. Supertrend indicator is green.
3. Stochastic k line cross over d line.
Long stop: the lowest price of the last k<d interval.
Long take: 1.5 times of stop.
The short conditions are opposite.
This strategy performed well in 1D timeframe of lots of cryptocurrency pairs. If you want to use it on 4H timeframe, you might need to finetune the parameters. But it is not recommended to use it on smaller timeframe due to the commission.
A Multi Pair Signal Alarm Version is also provided.
Supertrend + Stoch Strategy Multi-pair Signal AlarmBITSTAMP:BTCUSD
An entry alarm on Supertrend Stoch Strategy . It can monitor 10 trading pairs in one alarm.
Use this script on any trading pair and deploy the alarm. The alert comment shows the pair name, direction, entry point, sl/tp, and percentage of your position you should cost.
I currently use it as a signal for my grid trading.
Rising ADX strategyI have always been a huge fan of ADX. Its good for finding out good trending moves.
But it has been said that only ADX after 20 or 25 is good for trending market, but few trend gets completed at that level.
So I have come up with a logic to find out the rising ADX. This could be used to determine the trending moves from the start.
Buy signal:
When close is greater than moving average 1 and 2. This moving average can be SMA, EMA, WMA or HMA.
When ADX is greater than the threshold range. I have taken 10 as my minimum range.
Of course important of all ADX should be rising which implies trend is about to start.
Buy exit:
When close is less than moving average 1 and 2. This moving average can be SMA, EMA, WMA or HMA.
When ADX is lesser than the threshold range. I have taken 10 as my minimum range.
ADX falling which implies trend is about to end.
Sell signal:
I don't repeat the above logic again.
Everything similar to buy signal except above moving average. For selling it should be below moving average.
Strategy can be tested for long and short sides.
Note: No Repainting as the logic is very simple.
Using this script we can identify the best timeframe the script trend yields profit.
Test and provide your comments.
Cumulative RSI StrategyI suppose nothing drives a point home like a 10+ year backtest! A couple of weeks ago I published a custom indicator called the Cumulative RSI. This indicator was straight out of chapter 9 of "Short Term Trading Strategies That Work." Today I am publishing a basic sample strategy in that uses the Cumulative RSI as its only entry and exit signals on a Nasdaq 100 leveraged index ETF (TQQQ). In this example, the indicator is being used as a longer term strategy with just 10% leverage over the account equity and a $25k start balance.
If I had it 10 years ago I would probably be retired! I'm sharing because I've found that it can provide an edge when determining exit/take profit points for trades. Many traders wait for a price reversal / trailing-stop to exit a trade when it starts losing. I've found that, using tools like the Cumulative RSI, you can achieve better exit points over the long term. Disclaimer: Even though this example significantly beats buy and hold, I wouldn't advise using it as a stand-alone strategy without significant additions/modifications to strategy and risk management functions.
RSI Overbought Oversold Divergence Strategy w/ Buy/Sell SignalsThis indicator is a copy of my RSI Overbought/Oversold Divergence Indicator with-Alerts
Only difference is that the alerts are disabled, instead it uses tradingviews strategy tester signals
If you want alerts just use the other indicator
Williams Fractals StrategyThis indicator made with using Williams Fractals, 20 50 100 Moving Averages and Relative Strength Index. You can easily find entry points by using Long (L), Short (S) signals.
Note : Settings are optimized for BTC:USDT Perpetual 15min TF. For use different pairs or TFs you may need to change settings.
inside bar strategy Wıth SL-TP Based on strat bars to enter trades, you can use it with very low stop loss level and try all coins in daily frequency
TemaVWAPRSI StrategyExchange: Kraken
Timeframe: 5m
Pair: ETH/USD
If you use this for any other exchange or pair, you'll have to tweak the settings, most importantly are the trailing stop ticks. This strategy is currently in what I would call beta mode. It uses the volume weighted average price indicator, rate of change, two triple exponential moving averages and the relative strength index to find buy and sell signals.
MA&AOThat is quit simple strategy, which combines only two indicators: AO and MA. The logic of trades is also clear, when AO is bullish; slow ma is under the close price; fast ma > slow ma - buy.
TemaRSI StrategyThis strategy uses a triple exponential moving average (Tema) and RSI to find buy points and uses stops, trailing stops and take profit to exit. Draft 1.
Take Profit On Trend (by BHD_Trade_Bot)The purpose of strategy is to detect long-term uptrend and short-term downtrend so that you can easy to take profit.
The strategy also using BHD unit to detect how big you win and lose, so that you can use this strategy for all coins without worry about it have different percentage of price change.
ENTRY
The buy order is placed on assets that have long-term uptrend and short-term downtrend:
- Long-term uptrend condition: ema200 is going up (rsi200 greater than 51)
- Short-term downtrend condition: 2 last candles are down price (use candlestick for less delay)
CLOSE
The sell order is placed when take profit or stop loss:
- Take profit: price increase 1 BHD unit
- Stop loss: price decrease 2 BHD units
The strategy use $15 and trading fee is 0.1% for each order. So that, in the real-life, if you are using trade bot, it will need $1500 for trading 100 coins at the same time.
Pro tip : The 1-hour time frame for altcoin/USDT has the best results on average.
PSAR + EMA/TEMA/RSI/OBVThe Parabolic Stop-and-Reservse (PSAR) is a trend indicator, intended to capture reversal signals and show entry and exit points. The PSAR is bullish when the PSAR is below the candle body (usually indicated by a dot) and bearish when the PSAR is above the candle body. The PSAR generally only moves in the direction of the trend, making it useful for markets with an upward or downward trend, as well as swing markets. It is weaker when the market it sideways, as it can be prone to frequent flips (bull-to-bear or vice versa) in markets where a predominant trend is not present.
In order to combat the tendency for rapid swings in the PSAR, it is commonly paired with a second indicator. Often, this is a moving average (MA) to confirm the PSAR signal. Here is a common example:
PSAR + 2 EMAs: A trade would consider entering long when the PSAR is bullish and the fast EMA is above the short EMA.
PSAR + 3 EMAs: As above, but the trader could also add a very long EMA (200, for example) and use that as an additional filter.
In addition to using EMA, other MAs can be used and may be more appropriate to certain instruments and timeframes. Using TEMA, for example, may result in less lag but introduce more noise. Likewise, the Ehler's MAMA is an option.
Some traders use other indicators as PSAR confirmation signals, such as the relative strength index (RSI) on on-balance volume (OBV). The strategy is similar:
bullish PSAR + RSI oversold = consider long entry
bullish PSAR + OBV oscillator > 0 = consider long entry
The strategy presented here is based on my PSAR + EMA + TEMA study. Any of the above strategies are supported by this script:
1. The PSAR is the primary signal.
2. Confirmation is provided by any of the following: EMA , TEMA , Ehler's MAMA , RSI , or OBV.
3. You may use a third EMA (set to 200 as the default) to filter entries -- if used, the strategy will only show signals if the price is above the third (additional) EMA .
For example, a normal long signal would be a bullish PSAR + fast EMA > slow EMA + price > ema 200.
In addition, you may use a SL, which is set to the PSAR dots shown. You may also limit the backtesting dates. (Please note in the chart above, I do not have a limit on the trading dates. I believe this exaggerates the success of the strategy, but the house rules demand I not limit the timeframe to show you a more accurate picture.)
Combo Backtest 123 Reversal & T3 Averages This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots the moving average described in the January, 1998 issue
of S&C, p.57, "Smoothing Techniques for More Accurate Signals", by Tim Tillson.
This indicator plots T3 moving average presented in Figure 4 in the article.
T3 indicator is a moving average which is calculated according to formula:
T3(n) = GD(GD(GD(n))),
where GD - generalized DEMA (Double EMA) and calculating according to this:
GD(n,v) = EMA(n) * (1+v)-EMA(EMA(n)) * v,
where "v" is volume factor, which determines how hot the moving average’s response
to linear trends will be. The author advises to use v=0.7.
When v = 0, GD = EMA, and when v = 1, GD = DEMA. In between, GD is a less aggressive
version of DEMA. By using a value for v less than1, trader cure the multiple DEMA
overshoot problem but at the cost of accepting some additional phase delay.
In filter theory terminology, T3 is a six-pole nonlinear Kalman filter. Kalman
filters are ones that use the error — in this case, (time series - EMA(n)) —
to correct themselves. In the realm of technical analysis, these are called adaptive
moving averages; they track the time series more aggres-sively when it is making large
moves. Tim Tillson is a software project manager at Hewlett-Packard, with degrees in
mathematics and computer science. He has privately traded options and equities for 15 years.
WARNING:
- For purpose educate only
- This script to change bars colors.
EMR Strategy [H1 Backtesting]EMR Strategy base on EMA, MACD and RSI to supply signal on time frame H1.
Details of Rule as below:
===
1.EMA
+ Time frame: H1
+ Periods: 25, 100 (~ EMA 25 H4), 600 (~ EMA 25 D1)
===
2.MACD
+ Time frame: H1
+ Periods: 12,26,9
===
3.RSI
+ Time frame: H1
+ Periods: 14
===
4.Trading Rule
4.1.Long Position
+ MACD>0 and RSI>50 and close price moving above EMA 25
+ Close price crossed EMA 100 or crossed EMA 600 at the first time
4.2.Short Position
+ MACD<0 and RSI<50 and close price moving below EMA 25
+ Close price crossed EMA 100 or crossed EMA 600 at the first time
===
5.Money Management
+ This strategy concentrate into winrate.
+ So use trailing stop to protect your profits.
+ And use stoploss to avoid big loss on trades.
