Time Based Crypto DayTrade StrategyThis is a time based strategy, designed to enter and exit within the same day of the week, using different hours for entry and exit.
The script is long only direction, and it has no risk management inside, so use it with caution.
At the same time you can also calculate each individual hour return within a certain day, and make your own idea about the best moments to be enter.
In order to filter a bit from the bad trades, I have applied an ATR filter, to check if that volatility is rising in order to help eliminate some of the bad trades when there is no volatility around.
For this example, on BTC, it seems that for the last years, on tuesday and thursday, enterring at the beginning of the daily candle, 01:00hours and exit at 00:00 hours, seems to give positive results giving the idea that can be converted in some sort of edge into our favor.
However dont take this entirelly for granted and conduct your own searches
Cerca negli script per "the script"
Ichimoku Cloud with MACD and Trailing Stop Loss (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 12-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
This strategy combines the Ichimoku Cloud with the MACD indicator to better enter trades.
Long/Exit orders are placed when three basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
MACD line crosses over the signal line
Exit Position:
Price increases 3% trailing
Price decreases 3% trailing
The script is backtested from 1 June 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Cipher_B (Finandy support)In this version of the script you can force to cancel your position after some amount of time indepedently on price action. For example, your bot open a short position with SL=1% and TP=2.4% but price did not reach any of this level over the course of to say 8 hours. In this case, position will be closed regardless of the price.
Other interesting features are volume and slope filters. Slope is essentially a derivative of price action. If you don't like to buy your instrument under high volatility, for example, if a trend goes down too fast then you can filter long position which could be opened according to the strategy. Same thing for volume filter. If the volume is too high/too low, you might want to escape such setup in your trading strategy.
Moreover, you can tune price shift for opening position. To say, if you believe that the signal for opening position comes too early everytime, you can force the strategy to buy at 1% lower price than the current price when the signal comes. Similar logic for short: open position price will be always higher than the price of the signal. If the price did not reach such level then position will be automatically cancel with a new signal arrival. Check the backtesting results to understand better the logic.
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
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*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
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*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
[Sniper] SSL Hybrid + QQE MOD + Waddah Attar StrategyHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from "SSL QQE MOD 5MIN SCALPING STRATEGY" by youtuber "Daily Investments".
"Daily Investments" claimed that this strategy will make you some money from 100 trades in any ticker in 5 minute timeframe.
### Entry Logic
1. Long Entry Logic
- close > SSL Hybrid Baseline.
- QQE MOD should turn into blue color.
- Waddah Attar Explosion indicator must be green.
2. Short Entry Logic
- close < SSL Hybrid Baseline
- QQE MOD should turn into red color.
- Waddah Attar Explosion indicator must be red.
### Exit Logic
1. Long Exit Logic
- When QQE MOD turn into red color.
2. Short Entry Logic
- When QQE MOD turn into blue color.
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD and Waddah Attar Explosion indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 1.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ False
→ Doesn't Work on 5 minute timeframe. Also, it doesn't work on crypto.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was bad at 5 minute timeframe, it was profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ BTC, ETH was ok.
→ The result was better when I use EMA filter (only on longer timeframe).
### Robust?
→ So So. Although result was bad in short timeframe (e.g. 30m 15m 5m), backtest result was "consistently" profitable on longer timeframe.
→ Also, MDD was not that bad under risk management option on.
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*** Conclusion?
→ Don't use this on short timeframe.
→ Better use on longer timeframe with filter, stoploss and risk management.
SUPPORT RESISTANCE STRATEGY [5MIN TF]A SUPPORT RESISTANCE BREAKOUT STRATEGY for 5 minute Time-Frame , that has the time condition for Indian Markets
The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) Price crosses above Resistance Level ,indicated by Red Line, is a Long condition.
2) Price crosses below Support Level ,indicated by Green Line , is a Short condition.
3) Candle high crosses above ema1, is a part of the Long condition .
4) Candle low crosses below ema1, is a part of the Short condition .
5) Volume Threshold is an added confirmation for long/short positions.
6) Maximum Risk per trade for the intraday trade can be changed .
7) Default qty size is set to 50 contracts , which can be changed under settings → properties → order size.
8) ATR is used for trailing after entry, as mentioned in the inputs below.
// ═════════════════════════//
// ————————> INPUTS <————————— //
// ═════════════════════════//
→ L_Bars ———————————> Length of Resistance / Support Levels.
→ R_Bars ———————————> Length of Resistance / Support Levels.
→ Volume Break ———————> Volume Breakout from range to confirm Long/Short position.
→ Price Cross Ema —————> Added condition as explained above (3) and (4).
→ ATR LONG —————————> ATR stoploss trail for Long positions.
→ ATR SHORT ————————> ATR stoploss trail for Short positions.
→ RISK ————————————> Maximum Risk per trade intraday.
The strategy was back-tested on TCS ,the input values and the results are mentioned under "BACKTEST RESULTS" below.
// ═════════════════════════ //
// ————————> PROPERTIES<——————— //
// ═════════════════════════ //
Default_qty_size ————> 50 contracts , which can be changed under
Settings
↓
Properties
↓
Order size
// ═══════════════════════════════//
// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the script , Add it → click on ' { } ' → Pine editor→ making it a copy [right top corner} → Edit the line 27.
The Indian Markets open at 9:15am and closes at 3:30pm.
The 'time_cond' specifies the time at which Entries should happen .
"Close All" function closes all the trades at 3pm , at the open of the next candle.
To change the time to close all trades , Go to Pine Editor → Edit the line 92 .
All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 100 CLOSED TRADES )<————————— //
// ═══════════════════════════════════════════════ //
INPUTS can be changed for better Back-Test results.
The strategy applied to NSE:TCS ( 5 min Time-Frame and contract size 50) gives us 60% profitability , as shown below
It was tested for a period a 6 months with a Profit Factor of 1.8 ,net Profit of 30,000 Rs profit .
Sharpe Ratio : 0.49
Sortino Ratio : 1.4
The graph has a Linear Curve with Consistent Profits.
The INPUTS are as follows,
1) L_Bars —————————> 4
2) R_Bars —————————> 4
3) Volume Break ————> 5
4) Price Cross Ema ——> 100
5) ATR LONG ——————> 2.4
6) ATR SHORT —————> 2.6
7) RISK —————————> 2000
8) Default qty size ——> 50
NSE:TCS
Save it to favorites.
Apply it to your charts Now !!
Thank You ☺ NSE:TCS
PIVOT STRATEGY [INDIAN MARKET TIMING]
A Back-tested Profitable Strategy for Free!!
A PIVOT INTRADAY STRATEGY for 5 minute Time-Frame , that also explains the time condition for Indian Markets
The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) Price crosses above ema1 ,indicated by pivot highest line in green color .
2) Price crosses below ema1 ,indicated by pivot lowest line in red color .
3) Candle high crosses above pivot highest , is the Long condition .
4) Candle low crosses below pivot lowest , is the Short condition .
5) Maximum Risk per trade for the intraday trade can be changed .
6) Default_qty_size is set to 60 contracts , which can be changed under settings → properties → order size .
7) ATR is used for trailing after entry, as mentioned in the inputs below.
// ═════════════════════════//
// ————————> INPUTS <————————— //
// ═════════════════════════//
Leftbars —————> Length of pivot highs and lows
Rightbars —————> Length of pivot highs and lows
Price Cross Ema —————> Added condition
ATR LONG —————> ATR stoploss trail for Long positions
ATR SHORT —————> ATR stoploss trail for Short positions
RISK —————> Maximum Risk per trade for the day
The strategy was back-tested on RELIANCE ,the input values and the results are mentioned under "BACKTEST RESULTS" below .
// ═════════════════════════ //
// ————————> PROPERTIES<——————— //
// ═════════════════════════ //
Default_qty_size ————> 60 contracts , which can be changed under settings
↓
properties
↓
order size
// ═══════════════════════════════//
// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the script , Add it → click on ' { } ' → Pine editor→ making it a copy [right top corner} → Edit the line 25 .
The Indian Markets open at 9:15am and closes at 3:30pm .
The 'time_cond' specifies the time at which Entries should happen .
"Close All" function closes all the trades at 3pm, at the open of the next candle.
To change the time to close all trades , Go to Pine Editor → Edit the line 103 .
All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
NSE:RELIANCE
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 128 CLOSED TRADES )<————————— //
// ═══════════════════════════════════════════════ //
INPUTS can be changed for better back-test results.
The strategy applied to NIFTY ( 5 min Time-Frame and contract size 60 ) gives us 60% profitability y , as shown below
It was tested for a period a 6 months with a Profit Factor of 1.45 ,net Profit of 21,500Rs profit .
Sharpe Ratio : 0.311
Sortino Ratio : 0.727
The graph has a Linear Curve with consistent profits .
The INPUTS are as follows,
1) Leftbars ————————> 3
2) Rightbars ————————> 5
3) Price Cross Ema ——————> 150
4) ATR LONG ————————> 2.7
5) ATR SHORT ———————> 2.9
6) RISK —————————> 2500
7) Default qty size ——————> 60
NSE:RELIANCE
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Apply it to your charts Now !!
↓
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Monthly Returns of a Strategy in a ChartIt's a simple example of how you can present your strategy's monthly performance in a chart.
You maybe know that there is no support of these kind of charts in TradingView so this chart is actually a table object under the hood.
Table visual appearance is customizable, you can change:
Location
Bar Width / High
Colors
Thanks to @MUQWISHI for hard work, for helping me coding it.
It's not about the strategy itself but the way you display returns on your chart. So pls don't critique my choice of the strategy and its performance 🙂
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
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
Rob Booker - ADX Breakout updated to pinescript V5Rob Booker - ADX Breakout. The strategy remains unchanged but the code has been updated to pinescript V5. This enables compatibility with all new Tradingview features. Additonally, indicators have been made more easily visible, default cash settings as well as input descriptions have been added.
Rob Booker - ADX Breakout: (Directly taken from the official Tradingview V1 version of the script)
Definition
Rob Booker’s Average Directional Index (ADX) Breakout is a trend strength indicator that affirms the belief that trading in the direction of a trend and continuing to follow its pull is more profitable for traders, while simultaneously reducing risk.
History
ADX was traditionally used and developed to determine a price’s trend strength. It is commonly known as a tool from the arsenal of Rob Booker, experienced entrepreneur and currency trader.
Calculations
Calculations for the ADX Breakout indicator are based on a moving average of price range expansion over a specific period of time. By default, the setting rests at 14 bars, this however is not mandatory, as other periods are routinely used for analysis as well.
Takeaways
The ADX line is used to measure and determine the strength of a trend, and so the direction of this line and its interpretation are crucial in a trader’s analysis. As the ADX line rises, a trend increases in strength and price moves in the trend’s direction. Similarly, if the ADX line is falling, a trend decreases in strength and price then enters a period of consolidation, or retracement.
Traditionally, the ADX is plotted on the chart as a single line that consists of values that range from 0-100. The line is non-directional, meaning that it always measures trend strength regardless of the position of a price’s trend (up or down). Essentially, ADX quantifies trend strength by presenting in both uptrends and downtrends of the line.
What to look for
The values associated with the ADX line help traders determine the most profitable trades and where risk lies in the current trend. It is important to know how to quantify trend strength and distinguish between the varying values in order to understand the differences in trending vs. non-trending conditions. Let’s take a look at ADX values and what they mean for trend strength.
ADX Value:
0-25: Signifies an absent of weak trend
25-50: Signifies a strong trend
50-75: Signifies a very strong trend
75-100: Signifies an extremely strong trend
To delve into this a bit further, let’s assess the meaning of ADX if it is valued below 25. If the ADX line remains below 25 for more than 30 or so bars, price then enters range conditions, making price patterns more distinguishable and visible to traders. Price will move up and down between resistance and support in order to determine selling and buying interest and may then eventually break out into a trend or pattern.
The way in which ADX peaks, ebs, and flows is also a signifier of its overall pattern and trend momentum. The line can clearly indicate to the trader when trend strength is strong versus when it is weak. When ADX peaks are pictured as higher, it points towards an increase in trend momentum. If ADX peaks are pictured as lower - you guessed it - it points towards a decrease in trend momentum. A trend of lower ADX peaks could be a warning for traders to watch prices and manage and assess risk before a trade gets out of hand. Similarly, whenever there is a sudden move that seems out of place or a change in trend character that goes against what you’ve seen before, this should be a clear sign to watch prices and assess risk.
Summary
The ADX Breakout indicator is a trend strength indicator that analyzes price movements relative to trend strength to signal a user when is best for a trade and when is best to manage risk and assess patterns. As long as a trader recognizes strong trends and assesses the risk of each trade properly, they should have no problem using this indicator and utilizing it to work in their favor. In addition, the ADX helps identify trending conditions, but while doing so, also aids traders in finding strong trends to trade. The indicator can even alert traders to specific changes in trend momentum, allowing them to be primed for risk management.
MAPM-V1Greetings dear traders!
I would like to introduce you the script for testing the strategy by crossing two signal EMAs based on the MACD indicator.
In the strategy itself:
The entry is made as a percentage of the deposit by EMA crossings.
There are additional purchases, they are set from the entry price for a given percentage in the opposite direction of the transaction.
The distance in percentage from the entry price, on which the additional purchase is exposed, is set in the StepAddPurchases parameter.
The Martingale parameter increases the initially purchased amount of the base traded cryptocurrency in each additional purchase.
The essence of the strategy is to trade a large number of pairs in order to diversify risks and obtain a stable income.
It is desirable to enter each trading pair with a small percentage of the deposit.
The optimization result shows the trading result for the period of 5000 bars (the platform does not give more history) on 10% of the deposit for the first transaction, the addition will also take place on initially bought amount of base traded cryptocurrency, multiplied by the martingale parameter, raised by the number of addition.
The strategy will still be updated, so see you soon!
3C QFL Mean reversalWhat is QFL trading strategy?
QFL stands for Quickfingersluc, and sometimes it is referred to as the Base Strategy or Mean Reversals. Its main idea is about identifying the moment of panic selling and buying below the base level and utilizing Safety orders.
What is Base level or Support Level?
Base level or Support Level refers to the lowest price level that was reached before the moment the price started increasing again. At that level, you can notice that buyers of some cryptocurrencies make a strong reaction.
In this strategy we can also reverse the strategy and go short. But i must warn you that that is alot riskier.
QFL is meant to be used on higher TF's like 1hr, 2hr and 4hr. But this strategy also work well on lower Timeframes.
The script also simulates DCA strategy with parameters used in 3commas DCA bots for futures trading.
Experiment with parameters to find your trading setup.
Beware how large your total leveraged position is and how far can market go before you get liquidated!
Do that with the help of futures liquidation calculators you can find online!
Included:
An internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
A graphic interface, so levels are clearly visible and back-test analyzing made easier.
Long & Short direction of the strategy.
Table display a summary of past trades
Vertical colored lines appear when the new maximum deviation from the original price has
been reached
All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
3C MACD & RSI Scalper no repaintThis is not a set and forget strategy. It needs constant tweaking to maintain a high winrate. Also what works on one pair can be horrible on another.
This strategy works best on the 1 min or 5 min TF but also works well on the 15 min. Haven't done any testing in higher TF's as im only interested in scalping.
If enabled you can retrive data on the MACD and RSI from any timeframe.
The strategy do not repaint.
You can filter on sessions as well as days. Often trading during say only the EU times and not trading during weekends yields better results. This is because weekeds and eg. the Asia Sessions are alot less volatile.
You do not need a 3c subscription to run this strategy as the bot turns on and off the bot itself.
Instructions for the 3commas connector:
1. First, you need to prepare 3commas Long/Short bots that will only listen to custom TV signals.
2. Inputs for the 3commas bot can be found at the end of the user inputs.
3. Once you have entered the required details into the inputs, turn on 3commas comments. They should appear on the chart (looks messy).
4. Now you can add the alert where you should paste the 3commas Webhook URL: 3commas.io
5. For the alert message text insert the placeholder {{strategy.order.comment}} and delete the rest. 6. Once the alert is saved, you can turn off those 3commas comments to have a clearer chart.
7. With a new alert, the bot and trade should launch.
Long or Short trades are determined with a crossing of the fast MA over the slow MA for Long and the opposite for Short. Trades should only happen close to the crossovers.
You can select from various different MA's and of course lenghts. I often find that using HEMA as the fast MA and DEMA as the slow give more trades while also maintaining a high winrate.
Then for Long we use the MACD indicator where we look for high peaks in negative values for Long and vice versa for Shorts. These should be significantly higher than other peaks (or if you will lower peaks for a Long).
The key is to detect high peaks on the histogram, which we will try to achieve by checking if the last 2 values were higher than X bars back. If you want to make it even more specific, then you can turn on the additional checkbox which compares the current value to the average value of X bars back, and if it is greater than, say, 72% the value of the average then it's ok to enter the trade.
The RSI filter, sets the maximum RSI threshold for a long position and the minimum for a short. By default and what i recomend is that you enter Longs when RSI is above 50 and shorts when RSI are below 50.
-You can set confirmation of the trade direction with RSI, i.e. for Long the RSI must rise a specified number of bars back, vice versa for Short.
Enabling the pullback filter is great to avoid Longing tops and Shorting bottoms.
Whats ahead. I really want to incorporate RSI divergencies, but haven't figured out how yet. Any other ideas would be greatly appreciated.
Have a look at my other strategies. They are similar to this but works abit differently.
The 3 strike line and the engulfing candles are not something that has an impact on the script yet, and might never be. But i do like to turn them on for a visual to see if the trade the strategy opened is a good one.
Scalping Support Resistance StrategyScalping strategy for BTC using one line: Support Resistance.
The strategy draws a line based on the minimum value of the average of High, Low, and Close for a given bar. The entries are carried out on the breakdown of this line. Exits are managed by the specified in the script's inputs take-profit and stop-loss percentages.
From Stream:
www.tradingview.com
Bollinger Bands + EMA 9A 1 minute scalping strategy.
Uses Bollinger Bands (no basis line) and a 9 period EMA.
Waits for price to close below the lower Bollinger Band and the next candle to close bullish above the lower Bollinger Band but below the 9 Period EMA.
If all conditions are met, the script enters a long position with TP at the 9 Period EMA.
Weekly Returns with BenchmarkSome time ago I published Monthly returns table. Now It's time for weekly one.
To get it work you need a pretty big screen, but I hope it will be useful for some of you.
Features of this table includes:
Display weekly returns of your strategy, benchmark, and alpha over this benchmark.
Select benchmark to be another instrument
Select the date from which you want to compute monthly returns
Show/hide benchmark and alpha
Choose colors for gradient for gain/loss values
Use it with any type of strategy
Use it with replay
Thanks to @MUQWISHI to help me coding it.
It's not about the strategy itself but the way you display returns on your chart. So pls don't critique my choice of the strategy and its performance 🙂
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Small short for CryptoThis is the third modification of VuMAnChu cipher B indicator designed only for short sales.
The trigger signal is called sommi bearish diamond (according to my due diligence it has the best performance)
You can either fix a stop loss value or close position after crossing sma line.
Take profit also can be tuned.
Keep in mind that short positions are very risky, so deposit your money to the market only after your research. I guess this indicator has potential for repainting, so track backtests/forward tests carefully. The script is for entertainment purposes only.
Good luck and have fun!
[Fedra Algotrading 2TPs]This strategy uses the deviation of a simple linear regression to determine the entry point into a short-term trend. It also includes an intelligent trend filter (SMA, WMA, Super trend and MACD), to determine the dominant trend over a longer time frame and avoid opening trades against the market.
It manages capital by dividing the position into 2 take profits, the first one configurable in a fixed percentage, which will sell half of the position, and the second one that will trigger a trailing take profit once the desired percentage is reached, with the rest of the position.
Each parameter is optimizable to adapt it to the desired market, but this strategy benefits from the high volatility of mid and low capitalization cryptocurrencies due to their higher volatility.
It also includes tools to adjust the backtests, and command inputs so that the script can automatically work with bots.
Sentiment by JDG v5.0Hi Trading View User,
First of all: Strictly use 1hr TF
This strategy uses the following indicators:
1. RSI (default and improved provided by trading view.
2. Fear and greed index
3. Slope of Fear and Greed Index( Drop over run formula)
Slope is calculated and fine tuned for every stock/coin.
All crypto coins have different slope structure / fear and greed DNA.
Slope is different for every coin/stock, this is automatically calculated by the script and optimized for best profit.
How the Fear and Greed Index is calculated
So how do they arrive at the final number? There are multiple factors that influence the ultimate output.
1. Volatility: The index compares volatility and max drawdowns (a drawdown is a decline in value) against the 30-day and 90-day average volatility and drawdown numbers. Higher volatility is considered fearful and increases the final output. Volatility represents 25% of the index value.
2. Momentum/volume: The index measures the current momentum and volume of the bitcoin market. Again, against the 30-day and 90-day averages. High volume and momentum are seen as negative metrics and increase the final index output. Momentum/ volume represents 25% of the index value.
3. Social Media: The index tracts mentions and hashtags for bitcoin , and compares them to historical averages. Higher mentions and hashtags are interpreted as increased market involvement and lead to an increase in the final index output. Social media represents 15% of the index value.
4. Surveys: The index conducts large, market-wide surveys on a weekly basis. Usually, there are 2,000-3,000 participants in each survey. More enthusiastic survey results drive the index higher, pointing to market greed prevailing. Surveys represent 15% of the index value.
5. Dominance: The index measures bitcoin dominance in the overall market. The higher the bitcoin dominance, the more fearful the market – as interpreted by the index. As alternative coins gain market share, the market is acting courageously and not fearfully. The lower the bitcoin dominance, the greedier the market is becoming. 6. 6. Dominance represents 10% of the index value.
7. Trends: The index includes Google trend numbers in the final value. The higher the search interest of cryptocurrency becomes; the higher amount of greed is seen in the market. Trends represent 10% of the index value.
For more information on Crypto Fear & Greed Index please do visit:
alternative.me
Strategy Buy Conditions:
1. Sentiment is at Extreme Fear and Fear , as this increases the price also increases.
2. Trading view RSI crossing up
Note: Wait for long signal, then enter a trade on the rocket emoji
Strategy Sell Conditions:
1. Sentiment is at Extreme Greed and Greed , as this decreases the price also decreases.
The current code/ strategy supports 55 coins from Binance for spot / futures trading.
Here are the list:
SHIBUSDT
AAVEUSDT
ADAUSDT
AKROUSDT
ALGOUSDT
ATOMUSDT
AUDIOUSDT
AVAXUSDT
AXSUSDT
BANDUSDT
BATUSDT
BLZUSDT
BTCDOMUSDTPERP
BTCUSDT
CTKUSDT
EGLDUSDT
EOSUSDT
ETHUSDT
FLMUSDT
FTMUSDT
GALAUSDT
IOTAUSDT
IOTXUSDT
KAVAUSDT
KLAYUSDT
LITUSDT
LRCUSDT
LUNAUSDT
MATICUSDT
MTLUSDT
NEARUSDT
NEOUSDT
ONTUSDT
ROSEUSDT
RUNEUSDT
SANDUSDT
SKLUSDT
SOLUSDT
THETAUSDT
WAVESUSDT
XRPUSDT
ZECUSDT
HBARUSDT
ONEUSDT
GRTUSDT
DOTUSDT
CTSIUSDT
VETUSDT
LINKUSDT
SRMUSDT
OGNUSDT
MANAUSDT
Reminding again, please use 1HR TF only when using this strategy.
Wait for long signal, then enter a trade on the rocket emoji
Message me for access.
-CodeFather
Fear and Greed Index StrategyA losing strategy. The script is needed for demonstration purposes. Do not use the Fear and Greed Index.
Indicator
The black line shows the values of the Fear and Greed Index.
The index values are not updated!
Available values are from 01-01-2020 to 30-01-2022.
Settings
You can change the thresholds for fear and greed. The default values are 25 for fear and 75 for greed. These are the values recommended by the original authors of the Fear and Greed Index.
Background
If the index value is 75 or more, the background color is lime.
If the index value is 25 or less - red background color.
If index value is between 25 and 75 - no background.
Strategy
If the index value is 25 or less - open a long position (and close a short position).
If the index value is 75 or more - open a short position (and close a long position).
Reversal strategy.
Configurable Multi MA Crossover Voting SystemThis strategy goes long when all fast moving averages that you have defined are above their counterpart slow moving averages.
Long position is closed when profit or loss target is hit and at least one of the fast moving averages is below its counterpart slow moving average.
The format of the config is simple. The format is : FASTxSLOW,FASTxSLOW,...
Example : If you want 2 moving averages fast=9,slow=14 and fast=20,slow=50 you define it like this : 9x14,20x50
Another example : 5x10,10x15,15x20 => means 3 moving average setups : first wih fast=5/slow=10, second with fast=10/slow=15, last with fast=15/slow=20
You can chose the type of moving average : SMA, WMA, VWMA (i got issues with EMA/RMA so i removed them)
You can chose the source of the moving average : high, close, hl2 etc.
You can chose the period on which ATR is calculated and ATR profit/loss factors.
Profit is calculated like : buy_price + atr_factor*atr
Loss is calculated like : buy_price - atr_factor*atr
Performance in backtest is variable depending on the timeframe, the options and the market.
Performance in backtest suggests it works better for higher timeframes like 1d, 4h etc.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
P-Signal Strategy RVS.For Christmas and New Year,
for P-Signal users - the PINE code of a reverse (trigger) strategy!
Strategy parameters.
==================
1. Cardinality – the number of points (from 4 to 200) that make up a set of elementary events (bar). This is the main parameter that determines success.
2. |ΔErf| - a size of the Δ region (from 0 to 1) of the error integral near zero. Helps save on commissions.
3. Observation time – the deputy speaks for himself.
NB: In the strategy, process_orders_on_close = true, order executes after a bar closes and strategy calculations are completed. Also Barstate.isconfirmed, i.e. the script is calculating the last (closing) update of the current bar.
Usage advice.
============
Set your exchange commission (0.2% by default). Start your search by increasing the parameter Cardinality. If in the Performance Summary two parameters Net Profit and Commission Paid are of the same sign and order, you are in luck, you have found a suitable probabilistic space. Further, you can reduce the losses from the commission using the parameter |ΔErf|.
Do not forget to publish the idea, for example: P-Signal Strategy RVS: BTCUSDT 1h (16, 0.05).
Note.
=====
P-signal is theoretical. It works in a probabilistic space endowed with energy (entropy).
Correlation StrategyThis is a basic strategy that shows how to trigger short/long/close signals on chart's symbol based on calculations made on another symbol which we consider correlated to it.
With default parameters, ETH/USDT as base symbol, the strategy shows good results in backtest for several symbols : DENT/USDT, BTT/USDT, FTT/USDT, DOT/USDT etc.
This is not surprising giving the importance of ETH in the crypto market so it makes sense many crypto currencies will follow ETH big movements.
Note : the strategy with default parameters is supposed to be applied on 4h timeframe. On other timeframes, try another support length.
How the strategy works :
A wma is calculated on the base symbol, with 200 length by default.
When wma is rising, we go long. When wma is falling we go short.
Take profit for Long/Short and Stop Loss for Long/Short are calculated percentages so 0.05 = 5% etc.
Also, Take profit / Stop loss are calculated on the base symbol not the chart's symbol.
The script uses the Monthly Returns table slightly modified to include buy & hold returns. Credits to @QuantNomad
