QuickSilver Intraday using RSIThis is a simple intraday strategy using very basic intraday super indicators - RSI & VWAP for working on Stocks . You can modify the values on the stock and see what are your best picks. Comment below if you found something with good returns
Strategy:
Indicators used :
The Relative Strength Index (RSI) is one of the most popular and widely used momentum oscillators.The values of the RSI oscillator, typically measured over a 14-day period, fluctuate between zero and 100. The Relative Strength Index indicates oversold market conditions when below 30 and overbought market conditions when above 70
VWAP identifies the true average price of a stock by factoring the volume of transactions at a specific price point and not based on the closing price. VWAP can add more value than your standard 10, 50, or 200 moving average indicators because VWAP reacts to price movements based on the volume during a given period.
Buying happens at VWAP Breakouts which is then validated with RSI to check for overbought & oversold conditions.
Aggressive trade stop can be employed by using the % for long and shorts in the strategy.
Usage & Best setting :
Choose a good volatile stock and a time frame - 10m.
RSI : 9
Overbought & Oversold - can be varied as per user
There is stop loss and take profit that can be used to optimise your trade
Extending this to,
In general guidelines for RSI :
Short-term intraday traders (day trading) often use lower settings with periods in the range of 9-11.
Medium-term swing traders frequently use the default period setting of 14.
Longer-term position traders often set it at a higher period, in the range of 20-30.
The template also includes daily square off based on your time.
Cerca negli script per "rsi"
3 RSI 6sma/ema ribbon crypto strategyThis is a very efficient swing trading strategy designed for crypto long timeframes like 2h+.
Initially we have 3 RSI .
AFter that we use them as source for 6 SMA/EMA for each RSI, 5, 30, 50, 70, 90, 100. With those we create a ribbon that we are going to use in order to check the direction of the trend.
Rules for entry:
For long : if either all the SMA/EMA's from the 2nd RSI are telling us to go long, or all the all SMA/EMA's from the 3rd rsi are telling us to go long F
For short : if either all the SMA/EMA's from the 2nd RSI are telling us to go short, or all the all SMA/EMA's from the 3rd rsi are telling us to go short
We exit when we get an opposite condition than the entry one.
Caution: this strategy has no risk management inside, so use it with caution. If you have any questions , let me know !
PMax on Rsi w/T3 *Strategy*Profit Maximizer Indicator on RSI with Tillson T3 Moving Average:
PMax uses ATR calculation inside, for this reason users couldn't manage to use PMax on RSI because RSI indicator doesn't have High and Low values in bars, but ATR needs that values. So I personally calculate RSI in a different way to have High and Low values of RSI wrt price bars.
IMPORTANT:
Because of the sudden movements and divergences on RSI , this indicator must firstly optimized for the charts before using. Optimization can be held by users for the meaningful parameters for each chart.
3 parameters are critical when optimizing:
First: Multiplier
Second: Tillson T3 Length
Third: T3 Volume Factor
Says, Kıvanç Özbilgiç. Here's the strategy version for you to backtest & optimize properly.
Enjoy.
MACD/RVSI/Stoch/RSI/EXP(Drawdown)I have been trying for several months to get a script to work on the 1min and this one gives some good backtest results. This script will also work on higher timeframes however, I've not extensively tested on higher timeframes. My aim was to get results on about 20 crypto coins then run the 1min bots in parallel looking for small frequent profits across all the coins. If you would like me to try and fit backtest results to any coin or pair on any timeframe please do get in touch anytime.
It's based on several indicators which are combined and then a newish way for the stop loss to implement based on an exponential rising which limits the time in each trade unless the price moves in the direction of the trade. The other useful feature is drawdown minimization which previously made all of my 1minute bot attempts non-practical due to differences between backtesting and actually running the bot(s) live.
Its possible at the top to paste in strategy comments which can be used through web-hooks for auto trading bots. Leaving these blank just defaults to the pre-programmed comments that provide some indication of why a trade was exited.
It is possible to select for Short and/or Long trades. Note however, that there are exponential markers on the charts for both long and short trades in any setting. I found that this way the bot worked well with regards to timing.
The next part of the user interface settings gets a bit tricky so try and use the sample parameters provided below. For example, select a crypto coin then try some of the options below until a reasonable backtest result in obtained (or select the best from the parameter groups tested) then move down the settings interface to optimise with the remaining settings.
So 'Use MACD/RVSI', 'RSI clause' and 'Use Stochastic' are set to true for the below sample settings (1min timeframe).
MACD/RVSI Confluence Resolution (1min, 2min, 5min, 10min, 1hour)
Timeframe RSI (1min, 2min, 3min, 15min, 1hour)
FastStoch, SlowStoch (1min, 45min: 5min, 30min: 1min, 1hour: 5min, 1hour)
Eg. for FTX:ETHPERP (MACD/RVSI Confluence Resolution=1hour, Timeframe RSI= 1min, FastStoch = 1min, SlowStoch = 45min)
Setting the timings is tricky - there is a lot going on. Have a look at the chart and select/deselect the options. The MACD/RVSI Confluence Resolution shows red and green vertical regions on the chart background. The Timeframe RSI colors the candle bodies red and green. These go green if the RSI crossed over 31% or red in the RSI crossed under 69%. The MACD/RVSI Confluence Resolution is explained in more detail in one of my other scripts. Then the Slow Stoch colors above and below the price action with red or green lines depending if on an uptrend or downtrend (approximately). Where there is also an up/down trend on the faster timeframe stoch there are vertical shaded fill regions between the slow stop above/below lines.
With all the above conditions selected to represent the data (looking at strategy backtest results whilst adjusting) there is a reasonable approximation to a credible trade.
So once an ok backtest result is obtained by selecting timing settings. Its ontot the Stop Ramp Settings. This is an exponential line which rises rapidly after a period of time thus exiting the trade or going upwards with the trade. It kind of limits the maximum time a trade will stay in position which forms part of the timing aspect of this bot. Look at the chart exponential red lines and adjust the settings, along with the backtest results to select a good timing.
Then its the Drawdown Catcher and the Take Profit Setting. Start with the drawdown catcher disabled i.e. set to zero. Put in a conservative Take Profit, for example if a Take Profit at 6% gives the best backtest results, go for 4% to account for differences between backtest results and actual live bot performance.
Then start to increase the Drawdown Catcher. This shades a lime region where the bot will not enter a trade. I found that with most trades using this bot, if the price action moved in the direction of the trade (long or short) at the onset - this gave most of the good results (high probability of positive trade). Also if a trade entered at the start price and when south, the accumilated drawdown from these failing trades made all previous 1min bot attempt non=profitable in practice (even with good backtest results). The exp timing and also this drawdown reduction strategies seem to be the thing which makes this approach credible.
Try to go for settings that give a very high change of positive trade. For example, an 85% profitable trades will probably provide say 55% positive trades in practice as its always highly possible to just fit the parameters to the exact position/trade timings - and in reality going forwards these don't play out the same. Also a Profit Factor of 2 is about the minimum I would accept - again this provides for example a Profit Factor of 1.2 in practive.
However all being said - I think its possible with this bot on the 1min across lots of coins - with regularly updating settings - to make profits. (Not financial advice)
Please do get in touch if you would like me to fit this bot to anytimeframe to any trade.
MoonFlag PhD
Configurable BB+RSI+Aroon strategy backtest for binary optionsI wanted to share this strategy that I use myself for binary options trading. After trading binary options for several years I have learned that every single day is unique... assets behave differently every single day. So, when I start the day I want to know which is the optimum combination of parameters in my indicators that will give me the signals I want during the day and I get that by doing a quick backtest of the parameters combination in a specific asset that same day. When trading Binary Options I usually do 3 or 4 trades max per day and, yes, there are moments in which even with the right backtest data the signals fail (I strongly believe that there is no strategy that guarantees 100% success in any type of trade, and this one here is not an exception - but has worked well with some assets). So, here is my contribution to improve your productivity by automating a bit that backtesting part.
How this script works?
It is a simple price crossunder / crossover Bollinger Bands (BB) with a confirmation from RSI overbought / oversold signals and a fast Aroon. You will see the BB plotted with its confirmations:
(1) a blue circle that plots in the chart when the price is coming back inside the channel (within the Bollinger Bands)
(2) an orange square that plots in the chart when the RSI is coming back from the overbought or oversold areas
(3) a triangle that could be red or green depending on the Aroon confirmation: Red if Aroon Down is crossing down Aroon Up or green if vice versa.
The strategy will call for long (Call) if:
(1) the price is crossing over the lower band of the Bollinger Bands, coming back inside the channel
(2) Aroon Up is crossing or has crossed above Aroon Down
(3) RSI is crossing over the oversold limit
Consequently, the strategy will call for a short (Put) if:
(1) the price is crossing down the upper band of the Bollinger Bands, coming back inside the channel
(2) Aroon Down is crossing or has crossed below Aroon Up
(3) RSI is crossing under the overbought limit
You can configure:
1. Aroon length (keep it as fast as possible: 3, 4 or 5 are recommended values)
2. The point where Aroon Up and Aroon Down cross to make the signal valid (50 is by default. It could also be 25 or 75)
3. The RSI length
4. RSI Overbought and Oversold limits (they do not need to be symmetric: you can use 29 and 93, for example)
5. Bollinger Bands length and standard deviation
6. Number of bars to keep your option open. Depending on the timeframe used, this will determine the time you will keep your binary option open. If you are in a 1 min chart and keep this parameter in 3, then you will need to configure your binary option to expire in 3 minutes.
How to evaluate your backtest?
In Binary Options you only need the success rate, so what I do is that when I am manually updating the parameters I keep my strategy tester window open checking the winning trades vs losing trades ratio ("Percent Profitable"). I personally will only keep an asset monitored looking for signals that day if the Percent Profitable on the backtest of the same day is above 80%.
Regarding the code: it is open, public and free. No need to ask for permission if you want to copy+paste and use it in whole or parts.
Happy pip hunting!
-marco
Strategy Tester EMA-SMA-RSI-MACDOn Tradingview I never saw a custom adjustable strategy script yet, so this is it,
you can change different things and see if you'll get a good strategy or not
Settings:
First choose the source, you can choose out of:
close, open, high, low, ohlc4, hlc3, hl2
Then choose you strategy: Long & Short, Long only or Short only
Next, choose your entry "Buy/Long" (which is the "close Short position" when "Short"):
- (E)MA 1 > (E)MA 2 (Each can be made ema or sma)
- close above (E)MA 1
- RSI strategy
- macd > signal
- macd > 0
- signal > 0
Then choose your RSI values if needed (for example you want a trigger when EMA 1 > SMA 2
but only if RSI > 60, then change "IF RSI >" from 0 to 60
Next you can choose an extra argument
and even a second argument with Higher Time Frame settings
Under this you can change your (E)MA values as desired (HTF values, MACD and RSI length can be found lower)
All the same with the exit/close (or if "Short", this is your entry)
Again, change everything as you wish
Then comes the RSI length setting, MACD settings and HTF settings, followed by SL/TP settings
(you also can enable/disable SL/TP), and TIME settings (for example you want to know the profit only from this year)
Alerts are provided in next script
Have fun!
Easy to Use Stochastic + RSI StrategyA simple strategy that yields some great results.
CODE VARIABLES
LINE 2 - Here you can change your currency and amount you want to invest on each entry.
LINE 10/11/12 - Here we establish what date we want to start backtesting from. Simply change the defval on each line to change the date (In the code below we start on Jan 1st, 2014).
LINES 19 through 27 - Here we set our Stochastic and RSI sensitivity (Currently %K = 14, %D = 3, RSI = 14). Change these to your preference.
LINE 39/41 - Here we execute our orders (Currently set when %K crosses %D under the 20 value and RSI is less than 50 to BUY, %K crosses %D above the 80 value and RSI is greater than 60 to SELL). Change these to your preference.
NOTE: As a beginner you may not want to short stock, therefore LINE 6 was added to only allow long positions.
I didn't overlay the RSI value over the Stochastics because it was too cluttered. Just add the RSI indictor seperately to your layout.
As always, couple this with trend following and exit/entry rules to make the profitability even higher!
Cheers!
SMA + RSI + Volume + ATR StrategySMA + RSI + Volume + ATR Strategy
1. Indicators Used:
SMA (Simple Moving Average): This is a trend-following indicator that calculates the average price of a security over a specified period (50 periods in this case). It's used to identify the overall trend of the market.
RSI (Relative Strength Index): This measures the speed and change of price movements. It tells us if the market is overbought (too high) or oversold (too low). Overbought is above 70 and oversold is below 30.
Volume: This is the amount of trading activity. A higher volume often indicates strong interest in a particular price move.
ATR (Average True Range): This measures volatility, or how much the price is moving in a given period. It helps us adjust stop losses and take profits based on market volatility.
2. Conditions for Entering Trades:
Buy Signal (Green Up Arrow):
Price is above the 50-period SMA (indicating an uptrend).
RSI is below 30 (indicating the market might be oversold or undervalued, signaling a potential reversal).
Current volume is higher than average volume (indicating strong interest in the move).
ATR is increasing (indicating higher volatility, suggesting that the market might be ready for a move).
Sell Signal (Red Down Arrow):
Price is below the 50-period SMA (indicating a downtrend).
RSI is above 70 (indicating the market might be overbought or overvalued, signaling a potential reversal).
Current volume is higher than average volume (indicating strong interest in the move).
ATR is increasing (indicating higher volatility, suggesting that the market might be ready for a move).
3. Take Profit & Stop Loss:
Take Profit: When a trade is made, the strategy will set a target price at a certain percentage above or below the entry price (1.5% in this case) to automatically exit the trade once that target is hit.
Stop Loss: If the price goes against the position, a stop loss is set at a percentage below or above the entry price (0.5% in this case) to limit losses.
4. Execution of Trades:
When the buy condition is met, the strategy will enter a long position (buying).
When the sell condition is met, the strategy will enter a short position (selling).
5. Visual Representation:
Green Up Arrow: Appears on the chart when the buy condition is met.
Red Down Arrow: Appears on the chart when the sell condition is met.
These arrows help you see at a glance when the strategy suggests you should buy or sell.
In Summary:
This strategy uses a combination of trend-following (SMA), momentum (RSI), volume, and volatility (ATR) to decide when to buy or sell a stock. It looks for opportunities when the market is either oversold (buy signal) or overbought (sell signal) and makes sure there’s enough volume and volatility to back up the move. It also includes take-profit and stop-loss levels to manage risk.
Range Strat - MACD/RSIThis strategy uses a trend based indicator (MACD) for entry/exit signals with a momentum oscillator (RSI) to act as confirmation. Although relying on a trend based indicator this has been created for range bound crypto markets, which have been in a period of chop since June 2022.
Long/Short signals are generated from MACD with the RSI oscillator thresholds suppressing entries at price extremes. This is not a mean reversion RSI strategy! As the indicators are contrary to each other you will need to be generous with the RSI settings in order for signals to trigger.
Strategy is designed for use on the 4h timeframe, it may work well on higher timeframes, but lower time frames will lead to false signals. Use fixed percentage of equity for order size to capture the compounding effect. As a reversal strategy bear in mind that should market trend strongly in either direction stops will be required.
The RSI thresholds can be tailored to provide higher frequency or safer signals. Similarly tweaking MACD settings will provide earlier/more frequent or safer signals. As this is intended to enter near range high / low you should check the visual cues to ensure a ping-pong effect is observed, so that peaks and troughs are captured. Once an observable range is established the strategy works well across a range of crypto markets,
The script is open source, so feel free to amend as you wish. Using a different momentum oscillator may provide better results. I have prior coding experience, but first time using PineScript was last night, so it's not very tidy. I will update this with some additional customisation and TP/SL in the near future.
Usage: Range bound markets
Markets: Cryptocurrency Alts/BTC/ETH
Timeframe: 4h
Rajiv Patel Strategy with ATR RSI CCI MACD EMA IchimokuRajiv Patel Strategy with alerts helps to identify entry and exit levels based on following Indicators.
1. ATR Trailing Stoploss
2. RSI
3. CCI
4. MACD
5. EMA
6. SMA
7. Ichimoku
This Strategy is fully customizable as per your trading style. Below are some examples of how once can use the Strategy.
Options Based on Each Indicator Individually.
1. ATR Trailing Stoploss – When price is above ATR Trailing Stoploss line its in buy zone and when below its in sell zone. The setting of ATR Trailing Stoploss are customizable like ATR Periods and ATR Multiplier. Suggest increasing ATR Multiplier with lower timeframe. Aggressive buyers can decrease ATR Period in higher timeframe as per trade plan.
2. RSI – RSI above EMA Length is buy zone and below is sell zone. Conservative buyers can increase the RSI & EMA Length period while aggressive and reduce. Higher the timeframe gives better results.
3. CCI – Similar to RSI the buy zone is when CCI crosses above EMA Length. Again CCI & EMA Length can be customised as per trade plan. Higher timeframe is advised.
4. MACD – MACD parameters default settings are based on trying to get early entry. One can change to 26, 13 and 9 in lower timeframe. When MACD crosses above Signal line its buy zone and when below its sell zone.
5. EMA – 5 EMA lines and 2 SMA lines can be plotted. The settings of both EMA lines and SMA lines can be adjusted based on timeframe and trade plan.
6. EMA – EMA line 1 and 2 can be used as buy when EMA1 crosses above EMA2 and sell when below. The length of EMA1 & 2 is adjustable. Suggest modifying based on timeframe and trade plan.
7. SMA – SMA1 can also be used as solo indicator. If price is below SMA1 then its no buy area and if above, then in buy area. SMA2 can be used to identify if trend is upward or downward based on user settings.
8. Ichimoku – It predicts price movements bit like moving averages. Offers a unique perspective of support and resistance levels.
Conversion Line (Tenkan Sen)
- Measures Short Term Trend
- Signals an area of minor support and resistance
Base Line (Kijun Sen)
- Measures Medium term trend
- Used as Trailing Stop Level
Lagging Span (Chikou Span)
- Used for confirmation of signals
- Can also serve as Support and Resistance Level
Kumo Cloud
- Formed of two lines: Senkou Span A (Green Line) and Senkou Span B (Red Line)
- Dynamic Support and Resistance
HOW TO READ ICHIMOKU INDICATOR
Conversion Line (Tenkan Sen)
- If Price is above the Conversion Line = Short term upward movement
- If Price is below the Conversion Line = Short term downward movement
- Increasing Conversion Line = Short term uptrend
- Decreasing Conversion Line = Short term downtrend
Base Line (Kijun Sen)
- If Price is above the baseline = Medium term uptrend
- If the Market price is below the baseline = Medium term downtrend
- Increasing Base Line = Medium term uptrend
- Decreasing Base Line = Medium term downtrend
Lagging Span
- The Evolution of the current price action in relation to previous price action
- If the Lagging span is above the current price = Bullish Bias
- If the Lagging span is below the current price = Bearish Bias
- Lagging span near the current price = Trading range
Kumo Cloud
- Dynamic Support and Resistance based upon price action.
- The longer the price stays below/above the Kumo cloud, stronger the trend
- When the cloud is wide, the expected support or resistance is strong
- When the cloud is thin, the expected support or resistance is weak
- Never trade when price is inside Kumo Cloud
HOW TO TRADE WITH ICHIMOKU CLOUD
1. Baseline and conversion Line crossover (Lagging Span as a Filter)
crossover (conversion line, baseline) = Buy
crossunder (conversion line, baseline) = Sell
FILTER
Crossover (conversion line, baseline) and lagging span is Bullish (i.e above the price) = Buy
Crossunder (conversion line, baseline) and lagging span is Bearish (i.e below the price) = Sell
2. Baseline - Conversion line crossover (Kumo cloud Filter)
Crossover (conversion line, baseline) above the Kumo Cloud = Strong Buy
Crossover (conversion line, baseline) below the Kumo cloud = Weak Buy
Crossunder (conversion line, baseline) below the Kumo Cloud = Strong Sell
Crossunder (conversion line, baseline) above the Kumo Cloud = Weak Sell
3. Kumo Cloud Breakout
When the price enters the Kumo Cloud, and breaks its Upper wall upward = Bullish Signal
When the price enters the Kumo Cloud, and breaks its Lower wall downward = Bearish Signal
4. Kumo Cloud Crossover
When Span A crosses the Span B from below to the upside and prices are positioned above the Kumo Cloud = Strong Buy Signal
When Span A crosses the Span B from upside to the bottom and the prices are positioned below the Kumo Cloud = Strong Sell
When Span A crosses Span B from bottom to the upside and prices are positioned below the Kumo Cloud = Weak Buy Signal
When Span A crosses Span B from the upside to the bottom and the prices are positioned above the Kumo Cloud = Weak Sell Signal
Options Based on Combining Multiple Indicators.
One can select and combine multiple conditions based on above understanding of individual indicator to create a strong Long Entry, Short Entry, Long Exit and Short Exit. This Strategy also provides Alert signal for all entry and exit based on the combinations of conditions selected.
Since this is a strategy one can use STRATEGY TESTER to understand how the strategy has performed over the selected time span. This however does not guarantee similar results in present or future trades.
Please enter commission or total charges charged by your broker in “Properties” Tab of the strategy. Modify all parameters of “Properties” Tab as needed. Note, this can affect the performance results of the strategy.
Need to be very careful in selecting conditions as it becomes very complex with many options available.
Note:
Triangles at the top and bottom indicates the zone. Can be turned on / off using condition “Show Conditions Visually”.
1. Red triangle at top pointing down with ‘S’ indicates in Long Exit zone.
2. Red triangle at top pointing down with ‘EnS’ indicates in Enter Short zone.
3. Green triangle at bottom pointing up with ‘B’ indicates in Long Entry zone.
4. Green triangle at bottom pointing up with ‘ExS’ indicates in Exit Short zone.
5. When the is no triangle either at top or bottom means there is no zone.
Send me your suggestions, will try to incorporate the same in next revision.
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.
HT + RSI Pullback by @DaviddTechThis strategy uses the HT algo and the RSI.
The HT is used to find the global trend and RSI on a length of 2 to find pullbacks.
Long Positions :
* HT is in the blue.
* RSI on length 2 goes in to oversold < 10
* Trigger candle closes higher that the high of the previous candle.
Short Positions :
* HT is in the red.
* RSI on length 2 goes in to overbrough > 90
* Trigger candle closes lower that the low of the previous candle.
Stop loss is the swing low or high.
TP Short :
* The RSI moves back down below the 10
TP Long
* The RSI moves back up above the 90
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
If you have any questions or feedback, please let me know in the comments.
BTC Sentiment analysis RSI 2xEMAThis is a CRYPTO correlation strategy, which is using BTC sentiment with BITFINEX long and short ratios.
WIth them we are making from one side 2 RSI, one for long and another for short. And from another side, we are going to make multiple EMA's, using the ratios for long and short.
Rules for entry
For this scenario I created a long only strategy.
The long entry condition is : we have a crossover of the rsi long ratio with rsi short ratio and long ratio from BITFINEX is above the long EMA and short ratio from BITFINEX is below short EMA.
We exit when we get the opposite condition, in this case we have a crossunder of the rsi long ratio with rsi short ratio and long ratio from BITFINEX is below the long EMA and short ratio from BITFINEX is above short EMA.
If you have any questions, let me know !
Delayed RSI StrategyThis strategy uses a 21 period RSI with an overbought (RSI indicator
is greater than) level of 60 (user defined) to determines long entries and an oversold
(RSI indicator is less than) level of 40 (user defined) for shorts. It introduces a bar delay that starts
counting when the RSI < Oversold or RSI > Overbought conditions are true, delaying the entry with
the amount of bars determined by the user. The trading logic can be reversed, which seems to work better.
Simple RSI strategyso this script just take it as teaching how to make easy strategy
many time we try complex one and we fail
thanks to coinrule for his very smart method of pyramid
i just here in this very simple rsi strategy want to show how even lame strategy like RSI can be very profitable:)
1. we exit by take profit
2. we make sure that for exit by take profit the stop loss will be far lets say 10% or more
3. this shit only work good in up trending markets:)
why regular rsi strategy not working? because the exit is shity ... it depend on false top that based on RSI above 70 or 80 in general.
in bullish state this will exit us faster then we desire and will cost us loss . in bearish state rsi will not go so high and we exit too late so the stop loss is our our only saver
here by exiting by% we get much better results
so what happen if the trend is bearish? you can can try to do the same just reverse order to create more shorts (sometime it work sometime is not)
end conclusion in bullish trending market even shifty strategy is good
the only reason this one work is actually because of the script of coinrule so i want to thank him on this
happy new year to all TV members
Optimized RSI Strategy - Buy The Dips (by Coinrule)Buy low and sell high is every trader's mantra. While this approach looks straightforward in theory, it's sometimes challenging to put into practice. That requires stress-management to buy when price drops and resolution in selling when the price is rising. RSI is a useful tool to implement long-term and effective trading strategies. The script presents an optimized RSI trading strategy that uses a Moving average to spot the best time to buy the dip.
The strategy buys when the RSI is lower than 35, and at the same time, the price is below the MA100. In this way, the approach helps avoid catching early dips, increasing buying when the bottom approaches.
The position closes when the RSI value is above 65 . Depending on the volatility of the coins that the strategy will trade, it's possible to adjust the RSI exit value to chase larger profits.
The setup is optimized on a 15-minutes time frame and trading cryptocurrencies versus USD or stable coins.
The strategies was backtested over 150 times with multiple setups and coin to assess the best long-term system.
The strategy assumes each order to trade 30% of the available capital. 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.
MACD,RSI & EMA strategy with MA+PSAR by MAMMACD,RSI & EMA strategy with MA+PSAR
Buy strategy
- MACD above signal
- RSI above RSI signal
- Close price above EMA
Sell Strategy
- MACD below signal
- RSI below RSI signal
- Close price below EMA
MACD Bull Crossover and RSI Oversold 5 Candles Ago-Long StrategyHello everyone, I've been having a great time perfecting this strategy for a few weeks now. I finally feel like it's time to release it to the public and share what I have been working on.
This strategy only enters a long trade when the MACD crosses over the signal line and the RSI was oversold looking back 5 candles ago. The logic behind this is to wait for RSI to enter the oversold territory, and then when the market starts to recovery the MACD will crossover telling us the sell off is over.
This strategy will close once these 2 conditions are met.
1. MACD Histogram is above 0 and MACD crosses under the signal line.
2. RSI was overbought 5 previous candles ago.
In the strategies settings, you'll be able to enable visual stop-loss and profit levels and change those levels to what you like, enable up to 5 EMA'S,
ADDONS That Affect Strategy:
* Enable visual stop-loss and profit levels as soon as a buy signal is triggered.
* Modify stop-loss and profit levels.
* Modify RSI oversold and RSI overbought levels.
* Modify MACD Fast and Slow moving average.
ADDONS That Do Not Affect Strategy:
* Enable up to 5 EMA's. (This will not affect strategy, and is the only purpose is for people who like following EMA's.)
Thank you for taking the time to try my strategy. I hope you have the best success. I will be making a short strategy, and alerts for this strategy soon. Follow me for updates!
E.B. INVERSE CROSSING MOVING AVERAGE - RSIThis strategy uses the EMAs 10, 20 and 200.
When the EMA 10 is above EMA 100 and crossunder EMA 20, the strategy will buy the stock. The RSI must be under BuyLevel
When the EMA 10 is under EMA 100 and crossover EMA 20, the strategy will sell the stock. The RSI must be above SellLevel
When the RSI crossunder the BuyLevel, the Buy transaction will be closed.
When the RSI crossover the SellLevel, the Sell transaction will be closed.
If during a buy/sell transaction the EMA 10 crosses EMA 100, the transaction will be closed too.
You can adapt the EMA's value and RSI's value.
Just DM to me for access!!
Laguerre RSI by KivancOzbilgic STRATEGYBacktesting.
" Laguerre RSI is based on John EHLERS' Laguerre Filter to avoid the noise of RSI .
Change alpha coefficient to increase/decrease lag and smoothness.
Buy when Laguerre RSI crosses upwards above 20.
Sell when Laguerre RSI crosses down below 80.
While indicator runs flat above 80 level, it means that an uptrend is strong.
While indicator runs flat below 20 level, it means that a downtrend is strong. "
Developer: John EHLERS
Author: KivancOzbilgic
inwCoin Sto RSI Bullish/Bearish Divergence StrategyinwCoin Stochastic RSI Bullish / Bearish Divergence Strategy
This strategy is an alternated version of inwCoin RSI Bull/Bear div Strategy.
Because I want to know if the popular "STO RSI Divergence" Strategy really work in real trade?
The good thing about Sto RSI that it can provide us with more entry data for both long and short.
Because sometime RSI will never go to OB or OS zone again..
But sto will keep swinging between OB and OS zone.
Entry Condition
=============
BUY = Smooth K is higher low + price is lower low
SELL = Smooth K is lower high + price is higher high
Other Parameters
===============
- Use stop loss + stop loss %
- Data source for high/low price check
- Lookback period for divergence
Conclusion
==========
This strategy is working great for short entry when market is in sideway down.
Like in 1/7/2019 - 1/1/2020
or 1/1/2018-1/1/2019
But your portfolio will go kaboom if you short in the uptrend....
Also, this is not the good strategy for trend following + long position
But it's great addition if you want to pyramid your position in uptrend.
or looking for good spot to entry long if you miss the uptrend bus.
inwCoin RSI + Martingale Strategy===================
English
===================
* inwCoin Simple Martingale Strategy ( Double down ) for educational purpose.
* Entry Condition : RSI cross Oversold Level up
* Martingale Condition
(1) RSI cross Oversold Level up again
(2) If Martingale > 6 times, it will martingale with time-base too, using "Martingale Timer" value ( the candles count )
* Take Profit Condition : When position has profit more than "Take Profit Percent"
----------
Desc.
----------
Position Size Percent = Start Position Size, less start size = more capital left for matingale if something went wrong
Take Profit Percent = If position has profit more than this value, it will close position
Martingale Gap Percent = Calculate the gap between each martingale level
Martingale Multiplier = Martingale position size multiplier
Martingale Timer = If we already did martingale more than 6 times, it will buy more if the candle count from last buy entry more than this value ( time-base martingale )
Leverage = not working
RSI setup = RSI setting, Oversold level is important because the script will do first buy entry when RSI crossover oversold level.
-----------
Conclusion
------------
* People using Martingale a lot esp. in Forex EA/bot. Because if we "lucky" we'll get good profit every single day.
* But... if we unlucky and price keep going the other way, we'll have to double down like crazy and your portfolilo will get liquidated in no time...
* This is very risky strategy and I learned it the hard way...
===================
Thai
===================
ทำ strategy martingale มาเล่นๆ ลองวิชาขำๆ
ขี้เกียจแปลไทยแล้ว อ่านอังกฤษข้างบนเอาเอง 5555
inwCoin EMA of RSI Risk% Strategy=========================
English
=========================
Just simple strategy idea using EMA of RSI crossing to define entry and exit.
Looking good for backtest result but I'm not sure will it ok if live trade.
Please make sure to paper trade ( forward test ) for few month if you want to use this strategy.
Also, this is for education purpose and not the investing advise.
Use it as your own risk.
-----------
Concept
-----------
Making slow and fast EMA of RSI and decide when to enter/exit trade
If fast crossover slow = Buy
If fast crossunder slow = Sell
You can using trend filter to filter out downtrend
Recommend value is 80 for Daily TF
This strategy is no good for small TF because EMA of RSI will cross up and down like crazy and I'm sure you'll losing money if you follow this strategy in real trade lol.
==========================
Thai
==========================
มีคนถามในห้อง Bitcoin Thai Club ว่า ถ้าใช้ EMA of RSI แล้วหาจุดเข้าออกจากตรงนั้นจะเป็นไง
ก็เลยลองทำ proof of concept strategy ออกมาดู
กลายเป็นว่า... ให้ผลค่อนข้างดีกว่าไอ้ตัวที่เคยมีซะอีก โว๊ะ!! 555
เท่าที่ไล่กดดูหลายๆ Timeframe พบว่า ยิ่ง TF เล็ก noise ยิ่งเยอะ ทำให้การตัดกันของเส้น EMA ค่อนข้างพันกันไปมา ทำให้มีการเข้าๆ ออกๆ แบบเสียเปล่าเยอะไปหน่อย
ถ้าใครจะใช้ แนะนำให้ใช้ TF daily กับ weekly ขึ้นไปน่าจะให้ผลที่พอเชื่อถือได้
===========
หลักการ
===========
ใช้ EMA สองเส้น คือ EMA fast กับ EMA slow โดยไปหาค่า ema ของ rsi แล้วหาจุดตัดของสอง ema นั้นๆ
ema fast ตัด ema slow ขึ้น = ซื้อ
ema fast ตัด ema slow ลง = ขาย
ง่ายๆ แค่นี้เอง
เท่าที่ไล่ดูด้วยตา มันสามารถออกที่ยอดได้ค่อนข้างสวยอยู่พอสมควร ( ถ้าใช้ TF daily หรือ weekly นะ )
ใครจะเอาไปเล่น ก็อย่าลืม forward test กันก่อนจะไปลงเงินจริงนะ
ตรงนี้เป็นแค่ concept แต่เวลาเทรดจริงมันอีกเรื่องนึงเลย
