RSI + MA StrategyHello, everyone!
We have just released an innovative strategy for TradingView. It allows you to facilitate the trading process when you have to use both indicators.
This strategy is:
User-friendly
Configurable
Equipped with the combination of Relative Strength Index (RSI) and Moving Average (MA) indicators
Designed with all required functions to manage positions
Features
The RSI+MA strategy can:
Identify entry points for Long and Short positions.
Depict RSI and MA values concerning each other.
Reduce visual congestion and import usability thanks to using a combo of 2 indicators.
Allow using pivot trading. The RSI+MA strategy will enter a Long position according to the Short position conditions. And vice versa.
Note! If you want to open a Long position, the RSI line should cross MA from top to bottom. If you want to open a Short position, RSI has to cross MA from bottom to top.
Parameters
We have equipped our strategy with more than 14 additional parameters. So, you can configure the EA according to your needs!
Inputs :
Use Reverse Trade — allows swapping Long and Short positions opening conditions.
Resolution — allows you to view an indicator with data on a higher or lower timeframe on the current chart.
RSI Length
RSI Source: Open, High, Low, Close, HL2, HLC3, OHLC4
Show MA — allows you to enable or disable MA displaying.
MA Length
MA Offset
Style:
RSI — RSI indicator line color and style settings.
MA — MA indicator line color and style configuration.
Upper Band — allows customizing line style, color, and RSI upper bound value.
Lower Band — allows you to customize line style, color, and RSI lower bound value.
Background — background color setting within the RSI upper and lower borders.
Precision — number of decimals for RSI values.
Note! Try RSI+MA on your demo account first before going live.
相對強弱指標(RSI)
[BTCUSD] Multi Entries Autotrade BinanceCommission = 4 USD per order >>> check in the Performance Summary
Slippage = 2 ticks
- I see from Kodify (tradingview.com/pine-wizards)
Risk: 1% per trade >>> check at the "List of trades"
* Auto trade BINANCE FUTURE by Webhook + Pro, Pro+, Premium Tradingview user.
Binance future quantity setting:
- Fixed Quantity = 0 => Auto quantity (Balance, risk, pips loss)
- Fixed Quantity > 0 (0.001, 0.002, 0.01,...) => send signal with Fixed Quantity
H4 timeframe is main trend: Supertrend indicator.
- Uptrend when closes candle is below the red line
- Downtrend when closes candle is above the green line
H1 timeframe: Keltner Color count & RSI indicator:
- Keltner Color Count input:
- Length = 50
- Multi1 = 1
- Multi2 = 2
- Multi3 = 3
- Source = Close
- Lookback = 25
- RSI input: Length: 14, Source: Close
I. Entry 1: BASIS KELTNER CHANNEL
- BUY when previous OHLC4 candle crossover Basis line AND Supertrend H4 uptrend AND Keltner channels uptrend. Not repaint.
- SELL when previous OHLC4 candle crossunder Basis line AND Supertrend H4 downtrend AND Keltner channels downtrend. Not repaint.
II. Entry 2: UPPER 2/LOWER 1 KELTNER CHANNEL
- BUY when previous OHLC4 candle crossunder Upper 1 AND Supertrend H4 uptrend AND Keltner channels uptrend AND rsi uptrend. Not repaint.
- SELL when previous OHLC4 candle crossover Lower 1 AND Supertrend H4 downtrend AND Keltner channels downtrend AND rsi downtrend. Not repaint.
III. Entry 3: SELL UPPER 2/ BUY LOWER 1 KELTNER CHANNEL
- BUY when previous OHLC4 candle crossover Lower 1 AND Supertrend H4 uptrend AND Keltner channels uptrend AND rsi uptrend. Not repaint.
- SELL when previous OHLC4 candle crossunder Upper 1 AND Supertrend H4 downtrend AND Keltner channels downtrend AND rsi downtrend. Not repaint.
IV. Report all history BTCUSD (H1 timeframe)
- 01/01/2019 - 20/11/2021
- 01/01/2018 - 01/01/2021
- 01/01/2017 - 01/01/2020
- 01/01/2016 - 01/01/2019
- 01/01/2015 - 01/01/2018
- 01/01/2014 - 01/01/2017
- 01/01/2013 - 01/01/2016
- 01/01/2012 - 01/01/2015
ETHUSD Multi Entries Autotrade BinanceCommission = 4 USD per order >>> check in the Performance Summary
Slippage = 2 ticks
- I see from Kodify (tradingview.com/pine-wizards)
Risk: 1% per trade >>> check at the "List of trades"
* Auto trade BINANCE FUTURE by Webhook + Pro, Pro+, Premium Tradingview user.
Binance future quantity setting:
- Fixed Quantity = 0 => Auto quantity (Balance, risk, pips loss)
- Fixed Quantity > 0 (0.001, 0.002, 0.01,...) => send signal with Fixed Quantity
H4 timeframe is main trend: Supertrend indicator.
- Uptrend when closes candle is below the red line
- Downtrend when closes candle is above the green line
H1 timeframe: Keltner Color count (Free): 2 Entries (I. Basis line, II. Upper 1/Lower 1 line)
Keltner Color Count input
- Length = 50
- Multi1 = 1
- Multi2 = 2
- Multi3 = 3
- Source = Close
- Lookback = 25
I. Basis entry rule:
1. Keltner channels:
Long when closes candle crossover the Upper 3 Keltner.
Short when closes candle crossunder the Upper 3 Keltner.
2. Rule of Basis's correction zone before open trades.
- Buy when previous OHLC4 candle crossover the Keltner Basis (Supertrend uptrend & Keltner long). Not repaint.
- Short when previous OHLC4 candle crossunder the Keltner Basis (Supertrend downtrend & Keltner short). Not repaint.
II. 'Upper 1/Lower 1' entry rule:
1. Keltner color count: lookback = 25
2. Keltner channels:
- Long when closes candle crossover the Upper 2 Keltner and Keltner Color count Uptrend.
- Short when closes candle crossunder the Upper 2 Keltner and Keltner Color count Downtrend.
3. RSI down when crossover 70, RSI down when crossunder 30
4. Rule of 'Upper 1/Lower 1' correction zone before open trades.
- Buy when previous OHLC4 candle crossunder the Keltner Upper 1 (Supertrend uptrend & Keltner long & RSI up). Not repaint.
- Short when previous OHLC4 candle crossover the Keltner Lower 1 (Supertrend downtrend & Keltner short & RSI down). Not repaint.
III. Stoploss move: Height of Keltner * 1.3
IV. Report all history ETHUSD (h1 timeframe):
1. Keltner Basis line entries:
- 14/01/2019 - 20/11/2021
- 18/01/2021 - 01/01/2021
- 02/01/2020 - 01/01/2020
- 05/02/2016 - 01/01/2019
- 23/10/2015 - 01/01/2018
- 23/10/2015 - 01/01/2017
2. Keltner 'Upper 2/Lower 1' entries:
- 20/01/2019 - 20/11/2021
- 10/01/2018 - 01/01/2021
- 12/01/2017 - 01/01/2020
- 04/02/2016 - 01/01/2019
- 19/08/2015 - 01/01/2018
- 19/08/2015 - 01/01/2017
3. Combine 2 entries (Basis & 'Upper 1/Lower 1':
01/01/2019 - 20/11/2021
01/01/2018 - 01/01/2021
01/01/2017 - 01/01/2020
01/01/2016 - 01/01/2019
01/01/2015 - 01/01/2018
01/01/2015 - 01/01/2017
RSI StrategySimple way how to use RSI and MA indicators for trading.
What we use:
• RSI
• SMA calculated by RSI (title: SMA_RSI)
• Delta of RSI and SMA_RSI (title: delta)
• SMA calculated by delta of RSI and SMA & RSI (title: SMA_RSI2)
Logic:
Upon the fact that we use the difference between two indicators that have similar values ( RSI and SMA_RSI), we get number around zero. Next, result is smoothed by calculated the SMA . This is the blue/purple line that appears on the chart - SMA_RSI2.
The trade open when SMA_RSI2 cross over the threshold. The trade close when SMA_RSI2 cross under the threshold below.
Also, the usual EMA 200 is used as a filter, which you can switch on or switch off.
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.
RSI & SMA Strategy By DenizIntroduction
It has always been a major challenge to detect the current market price in technical analysis . There are some basic but strong indicators that help us to estimate the next market action. Relative Strength Index and Simple Moving Average indicators were used in this strategy.
This strategy aims to detect the next market action with different calculations & usages of RSI and SMA indicators.
Strategy Features
As per the result of the calculation from RSI and SMA outputs the strategy will decide to go "Long" or "Short" if the directions are changed from long to short the trade will be closed and it's opening new trade as per to the new direction.
Apart from basic "take profit" and "stop" options there is an additional closing trade option named "Long/Short Bar Count". If the trade could not reach the target in a certain period, it will look for a quit with a 0 loss.
Advantages
Informative alarm messages.
High ratio of Profitable trade numbers.
Disadvantages
Less trade count.
CryptoNite - Machine Learning Strategy (15Min Timeframe)Greeting Traders! I am back with another ML strategy. :D I kept my word with combining my machine learning algorithms from Python and integrating them into Tradingview. Thanks to Tradingview's new release of Pinescript v5 it is now possible. This strategy respects the Sortino Ratio and was created using 2 years of data for 50 different cryptocurrencies. That is a total of 100 years of data and 44,849 trades to create this strategy. Now let me tell you, my computer and I are exhausted. We both been at it non-stop for about two months everyday. I refine the strategy, and the computer runs 24/7 for a few days to spit out the best results into the terminal. It's been a good run so my computer will finally get some sleep tonight.
So let's talk a little about the features of the strategy. In the settings window, you'll see the Stoploss, Take Profit Parameters, and Date Range. You can change the Date Range, but I recommend to leave the SL/TP parameters how they are because the machine learning algo chose those input. If you wish to change them you are always welcome to do so but backtest results will change. For the Take Profit parameters you'll see on the left side you something labeled time duration(displayed in minutes) and on the right side you'll see take profit values. Let's talk a little bit how they work.
TP_values = {
"0": 0.102,
"133": 0.051,
"431": 0.039,
"963": 0
}
In python, the table looks like this but it is quite easy to understand in Tradingview.
From 0-133 minutes, the strategy is looking to the reach target point 1 at 10.2% profit.
From 133-431 minutes, the strategy is looking to the reach target point 2 at 5.1% profit.
From 431-963 minutes, the strategy is looking to the reach target point 3 at 3.9% profit.
From 963+ minutes, the strategy is looking to break even at 0% profit on target point 4.
Through each target point a sell trigger is active. It will look for the best time to sell even if TP has not been reached.
This helps the trade not stay open too long.
The last thing I need to mention is the textbox displayed on the right side of your chart. This textbox displays the current Take Profit value in dollar amount. So when you're in a trade you'll know what TP target has to be reached when the open trade is active. Throughout time, the target price changes depending how long the trade has been open. If you have any questions feel free to comment down below, and enjoy this strategy!
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).
FTRS BOLT PRO
The script uses RSI as major trend identification and supported by RSI divergence for take profit, and also counter trend in certain cases.
Uses EMA 200 for major trend identification to filter false signals, Average Volume as confirmation and faster signal detection to the change of trend.
The indicator detects immediate change of trend and immediately opens position for the major trend.
User can enjoy the RSI with labels of divergence to do manual judgement.
Existing risk to reward ratio based on amount of money instead of ticks count. The currency is depending on the chart's trading currency.
This strategy mainly built for FCPO and its for 1 min settings only. User can toggle the sessions as per users preferences
The default risk to reward ratio is 1:1.5. However, there is a risk management using RSI levels to
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.
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.
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.
RSI+CMO Hybrid StrategyThis strategy is based on the RSI+CMO Hybrid Index I created. I modified both the original RSI and CMO so that the RSI+CMO Index value ranges from -100 to +100 and defined as follows. When the RSI+CMO Hybrid Index values close above the Bull Level and below the Bear Level, the strategy will trigger long and short signals respectively. This newly defined hybrid RSI+CMO indicator showed better win rates and better profits than the original CMO strategy. The default setting for this strategy is optimized for an 8-hour candle. For candles at different times, try to find the optimal value yourself.
* I was going to open the script, but recently there was a case of stealing my script and publishing it without permission, so I decided not to disclose it.
▶ Modified RSI = Original RSI - 50
Therefore,
Original RSI (0 ~ 100) → Modified RSI (-50 ~ +50)
▶ Modified CMO = Original CMO * 0.5
Therefore,
Original CMO (-100 ~ +100) → Modified CMO (-50 ~ +50)
▶ RSI+CMO Hybrid Index = Modified RSI + Modified CMO
Therefore,
RSI+CMO Hybrid Index (-100 ~ +100)
________________________________________________________
이 전략은 기존의 RSI와 CMO 지표를 수정하여 새롭게 정의한 하이브리드 RSI+CMO 지표를 기반으로 만들어졌습니다. 지표 값의 범위가 -100에서 100의 범위를 가질 수 있도록 기존의 RSI와 CMO를 수정하여 만들었습니다. RSI+CMO Hybrid Index 값이 Bull Level 이상과 Bear Level 아래에서 봉마감을 하면 이 전략은 각각 롱과 숏 신호를 트리거합니다. 이렇게 새롭게 정의된 RSI+CMO 지표는 기존 CMO 전략 대비 승률과 수익이 더 우수합니다. 이 전략의 세팅 기본값은 8시간봉에 최적화 되어있습니다. 다른 시간대 봉에서는 최적값을 직접 찾아보십시오. 그리고 이전략은 RSI+CMO Hybrid Index와 함께 사용하면 Long과 Short 신호를 예측할 수 있어 편리합니다.
* 최근에 제 스크립트를 도용/표절하여 무단으로 퍼블리쉬한 사례가 발생하여 더 이상 스크립트는 공개하지 않기로 하였습니다.
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.)
3Commas DCA Bot Strategy v1.0Introduction
The strategy attempts to implement a majority all of the settings found on the 3Commas DCA Bot setting page that can be implemented within a TradingView indicator. Specifically, it will implement the "Open new trade ASAP" and "Trading View Custom Signal" deal start conditions. In this way, you can leverage the power of TradingView's backtester to model your settings and analysis past performance as well as leverage TradingView's alert notification subsystem to send Deal Start and Close signals to 3Commas using almost any of the thousands of scripts found in the Public Library (see "What does it do and how does it do it?" section below for more information on how to do this using the RSI indicator as an example).
How is it original and useful?
This strategy is unique in that it's the only one (as of the initial publications) that can handle 28 out of 32 bot settings (88% coverage) that are found on the 3Commas bot settings page. In addition, because it is a TradingView script, you will benefit from the following:
Model your bot's configuration using the backtester on any timeframe and evaluate its performance using the chart's history.
View a table of detailed statistics pertaining to deals started and completed, win/loss rates, daily P&L, true max drawdown, and detailed statistics on bars in deal along with safety orders filled.
View a table of "Used amount for each step" as presented in 3Commas as well.
Ability to link to almost any TradingView chart indicator that provides a single data point for buy/sell signals.
Make use of the 3Commas TA Start Conditions indicator to emulate the 3Commas built-in indicators for further performance evaluation with the backtester.
How does it compare to other scripts in the Public Library?
This strategy offers a very detailed, comprehensive settings and maybe the only one (as of the initial publication) that can handle 28 out of the 32 bot settings that are found on the 3Commas bot settings page (that can be handled within TradingView, because some cannot be modeled due to chart and language constraints). Specifically, the following 3Commas bot settings and inputs are addressed with asterisks denoting specific limitation due to TradingView's platform architecture and/or constraints:
Main settings
✅ Name
❌ Exchange* (Not handled since it is inherited from chart)
⚠ Bot type* (Only Single-pair because you simply apply the indicator to as many pairs you desire in separate charts to simulate a Multi-pair setting)
Pairs
❌ Pairs* (Not handled since it is inheriting the symbol from the chart)
Strategy
✅ Strategy
❌ Profit currency* (Not handled since there is no equivalence in TradingView)
✅ Base order size / unit
✅ Safety order size / unit
✅ Start order type
Deal start condition
⚠ TradingView* (You can modify the "Technical Rating" indicator by TradingView to output a signal yourself like @TheTradingParrot has done in the TV signal for DCA backtest script)
⚠ QFL* (See Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas Edition for an alternative)
❌ Manually/API* (Not handled since there is no equivalence in TradingView)
✅ Trading View custom signal
✅ Open new trade asap
Take profit
✅ Take profit (%)
✅ Take profit type
✅ Trailing
⚠ Trailing deviation* (modified to handle TradingView's broker emulator properly)
Stop loss
✅ Stop Loss (%)
✅ Stop Loss action
⚠ Stop Loss timeout* (modified to use "bars" as the unit of measure)
Safety orders
✅ Max safety trades count (a total of 100 safety orders are supported!)
⚠ Max active safety trades count* (Not handled since there is no equivalence in TradingView)
✅ Price deviation to open safety orders (% from initial order)
✅ Safety order volume scale
✅ Safety order step scale
Advanced settings
✅ Don't start deal(s) if the daily volume is less than
✅ Minimum price to open deal
✅ Maximum price to open deal
⚠ Deal start delay (QFL and standard TV signals only)* (modified to use "bars" as the unit of measure)
✅ Cooldown between deals
✅ Open deals & stop
Close deal after timeout
⚠ The time after which, deal will be closed automatically* (modified to use "bars" as the unit of measure)
In addition to the above inputs, the script will also support the same output data points that are found on the bot settings page, which are:
Assistant
✅ Balance
✅ Max amount for bot usage (Based on current rate)
✅ Max safety order price deviation
✅ % of available balance to be used by the bot
Table (Used amount for each step)
✅ Order No.
✅ Deviation %
✅ Order Size (Base currency)
✅ Order Volume (Quote currency)
✅ Price
✅ Average price
✅ Required price
✅ Required change
✅ Total Size (Base currency)
✅ Total Volume (Quote currency)
What does it do and how does it do it?
When applied to the chart for the first time, the default settings will work to execute the "Open new trade asap" deal start condition using a take profit of 4%, a base order size of 1.335% of equity (initial capital + net profit), a safety order size of 2.003% of equity (initial capital + net profit), a safety order volume scale of 1.5, a safety order step scale of 1.21, and a max safety trades count of 8. With these settings, as you scroll through the chart's history you should see price action crossing the DCA layers (denoted with blue triangles), and a green take-profit price line will render (with green triangle denoting the crossings). Lastly, in the upper-right corner of the chart the table of DCA statistics will render showing you all the gathered data that took place since the chart's starting history until the current time.
Using the "TV Custom Signal" section will allow you to "link" other chart indicators to supply "Start" and "Close" signals for the script. For example, here's how you can use the standard RSI indicator to generate an entry signal:
1) Add the stock RSI indicator and configure it to your desire.
2) Select the "RSI" indicator in the "Chart/Indicator Data Point" input.
3) Select "Chart/Indicator Data Point" in the "Start Deal When" input.
4) Select "Less Than" in the "Is" input.
5) Select "Custom Value(s)" in the "The Value Of" input.
6) Enter "25" in the "Custom Value 1 (Single or Lower Bound)" input.
7) Select "Trading View Custom Signal" in the "Open new trade" input (in the DEAL START CONDITION section).
8) Lastly, check the checkbox with a horizontal straight line above the "Start Deal When" input.
This means that the indicator will start a deal when the "RSI indicator" is "Less Than" the value of "25".
Strategy Results
The default settings are designed to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The chart above is is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.22581% of the equity for the Base Order Size, 6.45161% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 4 with a Safety Order Volume Scale of 2, a Safety Order Step Scale of 1.53, Price Deviation To Option Safety Orders at 5.3, and a take profit of 4.5% with Trailing turned on at a deviation of 1.5%. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the strategy and obtain better desirable results. You do so by using the backtester and statistics table and observe the output values and learn how the indicator is performing in the chart history. Using this information, you can adjust the settings accordingly until you find the settings acceptable to your trading goals and risk tolerance.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Go_up vwap-rsiIt is the popular RSI indicator with VWAP as a source instead of close.
VWAP (Volume Weighted Average Price) is one of the derived moving average indicators that takes volumes into account in price averaging. VWAP stands for Volume Weighted Average Price.
//LOGIC ENTRY:
Length RSI+VWAP
Oversold - bottom line RSI-VWAP
//EXIT SETTING:
Take profit and stop loss when a certain percentage is reached
//Settings next entry and grid:
Allow signal lower than,% - the next entry into a trade from logic occurs only when a decrease by a certain percentage
Allow grid,% - when the price drops by the percentage specified in the settings, the entry will take place, but only on the next bar.
//DATA RANGE:
-Testing results for any period of time
//PS:
For this strategy, we use pyramiding, we adjust the number of inputs in the "properties" section, by default left 20.
Look at the results in the past and adjust the settings for your capabilities and pitfalls. The default costs 25 entries for $ 400
Change the settings - find better results. share in the comments
EMR Strategy [H1 Backtesting]EMR Strategy base on EMA, MACD and RSI to supply signal on time frame H1.
Details of Rule as below:
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1.EMA
+ Time frame: H1
+ Periods: 25, 100 (~ EMA 25 H4), 600 (~ EMA 25 D1)
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2.MACD
+ Time frame: H1
+ Periods: 12,26,9
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3.RSI
+ Time frame: H1
+ Periods: 14
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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
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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.
MACD + BB + RSI Strategy [Alorse]A very simple and highly effective strategy that combines 3 famous indicators:
MACD
Bollinger Bands
RSI
Entry conditions are:
The MACD line crosses over the signal line.
RSI less than 50
Price below the BB baseline
Exit conditions are:
RSI greater than 70
Closing price higher than the upper BB
Or when the price hits the Stop Loss defined by you (Feature).
RSI Rising Crypto Trending StrategyThis is crypto and stock market trending strategy designed for long timeframes such as 4h+
From my tests it looks like it works better to trade crypto against crypto than trading against fiat.
Indicators used:
RSI for rising/falling of the trend
BB sidemarket
ROC sidemarket
Rules for entry
For long: RSI values are rising, and bb and roc tells us we are not in a sidemarket
For long: RSI values are falling, and bb and roc tells us we are not in a sidemarket
Rules for exit
We exit when we receive an opposite direction.
Cuation: Because this strategy uses no risk management, I recommend you takje care with it.
If you have any questions, let me know !
RSI Centered PivotsJust a simple RSI central pivot strategy I made for a friend.
Backtested on BYBIT:BTCUSD, 155m.
DISCLAIMER : Please do your own research into anything you use before using it to trade.
