Technicals Rating Strategy v420Ichimoku, HMA, RSI, Stoch, CCI, MACD, Technicals Rating Strategy is a trading Bot that looks at these chosen indicators and assigns a value to each, then calculates the result of adding each indicators result value to a overall rating, which is then compared to a user set level. Here seen on Bitcoin, it has the broker fee included in the testing result. If you choose to use it on Forex etc, perhaps remove the broker fee which is unrealistic for FX trading.
It has a Win/Loss ratio of only 40% wins, but it catches the big moves and thats the main thing, so if ELON MUSK had of used this strategy instead of BUY and HOLD, he could of made 700% instead of 7% (as is, may, 2021)
Mainly intended for use as Automated TRADE BOT.
(imagine if Elon Musk did use this bot with his 1.3 billion $ worth of BTC, the drawdown would be like, half a billion or something haha (p.s.- use smaller lotsize % to get smaller drawdown, but then smaller profit....) )
For use with any pair and timeframe. In fact there is a timeframe setting to set the strategy to look at alternative timeframe from chart, but as default will just be set to charts timeframe.
Médias Móveis
Fibonacci EMA averages (21, 34, 55, 89, 144)Just a simple script that plots the following EMA averages that are based on the fibonacci sequence: 21, 34, 55, 89, 144
Crypto momentum strategyThis strategy is based on LazyBear's Squeeze Momentum indicator. It analyzes when the trend in the momentum is shifting, locating the peaks and the valleys, and takes those as sell and buy signals respectively. This is a long strategy, so it also takes into consideration the 50 period Exponential Moving Average to identify upward trends. If the closing price of the candle is above the 50EMA, and the slope of the 50EMA is trending upwards, then the buy signal is executed. If these conditions are not met, the buy signal is ignored.
This strategy works well with crypto trading on the day/week charts.
It has a profit ratio of 4:1 on average, and roughly half of the trades are profitable.
Qullamaggie BreakoutThe intent of this strategy is to buy breakouts with a tight stop on smaller timeframes in the direction of the longer term trend. Default longer term trend is the daily, but the user can choose any timeframe to use for the SMAs (which act as filters and trailing stops).
Exit the trade using a trailing stop of a close below either the 10 MA or 20 MA (user choice) on that larger timeframe as the position moves in your favor (i.e. whenever position price rises above the MA). This is one area where this script could use a little work or some human intervention - when the trade is entered right in the vicinity of the moving averages, you get some whipsaw. Not sure how to avoid that at this point though if you want to look at those longer term moving averages as your exit criteria.
Option of using daily ATR as a measure of finding contracting ranges and ensuring a decent risk/reward. (If the difference between the breakout point and your stop level is below a certain % of ATR, it could possibly find those consolidating periods.)
EMA_cumulativeVolume_crossover[Strategy V2]This is variation of EMA_cumulativeVolume_crossover strategy.
instead of cumulative volume crossover, I have added the EMA to cumulative volume of same EMA length.
when EMA crossover EMACumulativeVolume , BUY
when already in LONG position and price crossing over EMACumulativeVolume*2 (orange line in the chart) , Add more
Partial Exit , when RSI 5 crossdown 90
Close All when EMA cross down EMACumulativeVolume
Note
Black Line on the chart is the historical value of EMACumulativeVolume . when EMA area is green and price touch this line closes above it , you can consider consider BUY
I have tested it on SPY , QQQ and UDOW on hourly chart.
EMA setting 25 is working for all of these.
but SPY produces better results on EMA 35 setting
warning
This strategy is published educational purposes only.
GANN_EMA_VWAP_BY_THEHOUSEOFTRADERSGANN LEVELS + VWAP + 3 EMA= 50,100 & 200
GANN LEVELS = Eg. 10.25 = BLUE, 10.50 = PINK, 10.75 = BLUE, 11 = RED (VIP LEVEL)
MA Cross + Strategy by RealmixTwo Moving Average with crossmarker and strategy when both indicators are crossing for a possible position
MACD Trendprediction Strategy V1A trend following indicator based on the MACD and EMA. In this case, signals are not generated by crossing the signal lines as with the MACD, but as soon as the distance between the signal lines increases or decreases. A profit factor of 1.6-3.5 is achieved.
Ein Trendfolge-Indikator, auf der Basis des MACD und EMA. Dabei werden Signale nicht wie bei dem MACD per Kreuzung der Signallinien generiert, sondern sobald ein der Abstand der Signallinien zu oder abnimmt.
CMF Velocity with 200EMA StrategyThis is a demonstration of my new Indicator - CMF Velocity - in a profitable trading strategy. It is able to take shorts when the close is less than the 200 EMA, and longs when the close is greater than the 200 EMA.
RatingsThis strategy script is a modified version of the built-in 'Technical Ratings' strategy script.
English:
www.tradingview.com
Russian:
www.tradingview.com
Changes:
1) Added option to disable long and short positions (checkboxes 'Long' and 'Short').
2) Added date selection option.
3) The default commission is 0.1% (original 0%).
4) 100% of capital is used by default (5% in the original version).
KSR Strategyself input Moving Average crossover with trend indicator which eliminates most of false signal
DEMA/EMA & VOL (Short strategy)Hello,
I am trying to build a short momentum strategy that is based off of the DEMA crossing under the EMA, but because many momentum strategies send too many signals, I have also implemented a volatility condition based on the average true range percentage (ATRP). Essentially, as momentum moves downwards + volatility (ATRP) moves upwards, it shorts the security. However, I am having an issue with exiting trades. I think this would be a great strategy if I could simply get the strategy to exit the trades. Does anyone mind looking through the source code and tell me what I might be doing wrong? In return, I would hope that this strategy could be useful to you in same way! Thank you for looking!
Bear & Bull Zone Signal StrategySince I love to mix and match, here is something fresh and that actually works on the breakout of Ethereum without losing your ass on lagging indicators.
It blends some of the nice parts of my previous scripts while moving to big boy pants with a twist on the Fibonacci retracement using SMA and EMA at multiple levels to do a sanity check.
Is it too good to be true? Nope, just what happens when a Solution Architect starts messing around with crypto and applies engineering and mathematics to the mix. You get a strategy that really doesn't have high profit losses when you tweak it just the right way.
What's the right tweak you ask?
1. Start with a 30 minute timeframe and set your window start date to the date the market began the bear or bull run
2. Make sure you can see your strategy performance window (not the graph one)
3. Set Stop Loss and Target Profit to 50%
4. Use your mouse wheel or up and down arrows and mess around with the RSI, go down one at a time but no lower than 7. Whichever value displayed the highest long or short gain is the one to pick.
5. Now select long or short only based on whichever one shows the highest gain.
6. Now go to K and D, leave K as 3 and check what happens when D is 4 or 5. Leave D at the value that gives you the highest gain.
7. Now go to EMA Fast and Slow Lengths. Leave Fast at 5 and check what happens when the Slow is moved up to 11 or 12, do the gains go up. If not, check what happens when Slow is moved down to 9, 8, or 7. Whichever gives you the highest gain, leave it there. Now go mess with the fast length, keep in mind that fast must always be less than slow. So check values down to 3 and up to 6. Same concept, mo money...leave it be.
8. Now go mess with the Target Profit, I start at 5, hit enter, then go to 7, hit enter, then 9...up by 2 until I get to 21 to make sure I don't hastily pick a low one and always keep in mind between which values the gain switched from high to low. For example, in this example I published at 11 it was $5k and at 13 it was $3700 for the gains. So after I got up to 21 I went back to 11 and started going up by 0.01 steps until the value dropped, which was at 11.19 so I set it at 11.18.
9. Now stop loss is trickier, you've maximized the gains, which means if you set the stop loss at a low value you will sacrifice gains. Typically by this point your loss is less than 10% with this script. So, my approach is to find the value where the stop loss doesn't change what I've tweaked already. In this example, I did the same start at 5 and go up by 2 and saw that when I went to 17 it stopped changing. So I started going back down by 0.5 and saw at 15.5 the gains went lower again. Now I started going back up in steps of 0.01 and at 15.98 it went back to the high gain I already tweaked for. I kept stop loss there and unleashed the strategy on ETH.
So far so good, no bad trades and it's been behaving pretty well.
ChBrkOutStrategySMAThis script relies on channel breakout strategy and the exit condition is defined by the SMA crossover, this works well on futures and Indices
Moving Average Color StrategyHello,
Strategy based on scrips "Moving Average Color Direction Detection" from Dreadblitz published on Aug 9, 2019.
You can chose MA type, length and reaction setting to adjust to time frame/ticker. Always seemed like RSI is ahead of actual price action
and just messing around with MA on the RSI .
Couple I found:
SPXS / SPXL 20M timeframe, MA 32 Reaction 2 (HullMA) 50% of equity so you dont lose everything :)
UVXY / SVXY 20M MA 32 Reaction 6 (HullMA) 50% of equity so you dont lose everything :)
APPLY to RSI , or any indicator really and play with Adjustments.
Morun Astro Trend MAs cross StrategyAstrology machine learning cycles indicator signals with technical MAs indicators strategy, based on signals index of Github project github.com
EMA & SupertrendStrategy has been built based on the crossover of 21 EMA (EMA 1) and 55 EMA (EMA 2). Along with with strategy, user can alter the period of EMA 1 & EMA 2 based on their suitability.
When EMA 1 crossover EMA2 or when prices closes above EMA 1 and EMA 1 is greater than EMA 2, strategy will generate Buy signal.
Position gets closed when price closes below EMA 2.
200 EMA, 233 EMA and Supertrend has been added for study purpose.
Jaws Mean Reversion [Strategy]This very simple strategy is an implementation of PJ Sutherlands' Jaws Mean reversion algorithm. It simply buys when a small moving average period (e.g. 2) is below
a longer moving average period (e.g. 5) by a certain percentage and closes when the small period average crosses over the longer moving average.
If you are going to use this, you may wish to apply this to a range of investment assets using a screener for setups, as the amount signals are low. Alternatively, you may wish to tweak the settings to provide more signals.
Context can be found here:
LINK
Wave Trend w/ VWMA overlayThis is a trend-following strategy and indicator which combines the Wave Trend Strategy (Lazy Bear) by thomas.gigure with the cRSI + Waves Strategy with VWMA overlay by Dr_Roboto .
You may update the parameters of the Wave Trend oscillator or the VWMA indicator to match your own preferences. You may also adjust the Base Quantity used for determining trade size (as described below) to suit your account size and risk tolerance.
The strategy identifies potential signals based on the on the Wave Trend oscillator, originally ported to TradingView by LazyBear. When a signal is produced by the Wave Trend oscillator, trade size is determined by the VWMA.
When the VWMA is trending against the direction of the Wave Trend signal, Base Quantity x 1 is used
When the VWMA is trending neutral, Base Quantity x 2 is used
When the VWMA is trending with the direction of the Wave Trend signal, Base Quantity x 4 is used
The strategy includes the ability to limit trade signals to certain defined periods of time ("Sessions") during the trading day and, optionally, to close any open position at the end of either or both "Sessions." This may be enabled/disabled via the Limit Signals to Trading Sessions? option on the "Inputs" tab of the strategy's "Settings" window.
If you are trading on a daily chart (or longer) you must disable the Limit Signals to Trading Sessions? in order for the strategy to produce signals.
3 EMA Stochastik RSI ATR SL TP only LONGHey there!
Here i will show you the 3 EMA RSI Stochastic Crossover strategy with an ATR SL and TP.
The strategy works as follows:
For long positions, the EMA's must be in the following order:
The 8 E M A must be above the 14 E M A and the 14 E M A must be above the 50 E M A.
The buy signal is given to us by the Stochastic RSI indicators.
The K line must cross the D line above. The following candle must then close above all E M A's.
The stop loss is determined by three times the value of the ATR.
The take profit is determined by two times the value of the ATR.
In this strategy only long positions are traded.
3x SuperTrend Strategy (Mel0nTek) V1This is a triple SuperTrend based strategy for lower time frame trades such as day trades and scalping. I have not seen many strategies that combine multiple SuperTrends so I thought I would publish this one since I put it together and have been quite happy with the results. I have found through testing that the best results are on currency exchange markets such as Crypto or Forex on 1-15 min time frames.
The core idea was inspired by a youtube video put out by Trade Pro:
"Trade Pro - HIGHEST PROFIT Triple Supertrend Trading Strategy Proven 100 Trade Results"
I went ahead and set the defaults to the ones he uses in his video for anyone who wants to try a configuration similar to his. They work pretty well in general, however the EMA, SuperTrend ATR multipliers, and P/L ratio can be tuned/optimized to fit the timeframe/market desired. The video is quite good but not a required watch as I will explain below.
The 200EMA is used as a medium-term trend direction indicator.
- Price closing consistently above the 200EMA means that only long positions should be entered.
- Price closing consistently below 200EMA means that only short positions should be entered.
The 3 SuperTrend indicators should be used as direction confirmation for entries. Typically, price above SuperTrend indicates bullish movement, while price below SuperTrend indicates Bearish movement. However by itself, it is not a great indication to enter/exit positions in my experience. By combining 3 of them with slightly longer periods and increased ATR multipliers, we can get much stronger confirmation of trend direction/strength.
The way they are used in this strategy is such that:
- We only want to enter a position if at least 2 out of 3 SuperTrends are on our side.
- 3/3 SuperTrends on our side is the best case, since we are taking trades WITH momentum/price strength.
- The second farthest SuperTrend from entry price is used as a Stop Loss
SuperTrend being on our side is not the only requirement for an entry however. The probability of success is increased with SuperTrend, and a longer EMA on our side, but we want to be sure that we aren't getting in too late/after the movement has already happened.
So we use Stoch RSI to pick our entries where price is oversold/overbought and reversing. That means the Stoch RSI is above 80, or below 20, and our indication to enter the trade is when the 2 lines cross/begin reversing direction.
So with trend direction on our side, we can get really good entries at these oversold/overbought extremes, especially as it's reversing (Stoch RSI K and D are crossing). This allows us to use the SuperTrend as a support/stop loss on our entry since price should be above it.
Then we just target 1.5x our max loss so that even if we only win 50% of the time, we still make a profit.
The explicit rules of this strategy are as follows:
=== Rules ===
long only
- price above EMA200
short only
- price below EMA200
Stop Loss = 2nd SuperTrend line above (short) or below(long) entry candle
Profit = 1.5x SL/risk (Profit Ratio x Max Loss)
=== Entry Setup ===
LONG
- Stoch RSI below 20, cross up
- at least 2 SuperTrend lines below close
SHORT
- Stoch RSI above 80, cross down
- at least 2 SuperTrend lines above close
P.S. Special thanks to Trade Pro for producing so many quality videos, putting strategy claims to the test, and providing me with so many good ideas I apply to my own strategies.
Simple way to BEAT the market [STRATEGY]This script has been created to demonstrate the effectiveness of using market regime filters in your trading strategy, and how they can improve your returns and lower your drawdowns
This strategy adds a simple filter (A historical volatility percentile filter, an implementation of which can be found on my trading profile) to a traditional buy and hold strategy of the index SPY.
Note, There are other filters that could also be added including a long-term moving average/percentile rank filter/ADX filter etc, to improve the returns further.
The filter closes our long position during periods of volatility that exceed the 95th percentile (or in the top 5% of volatile days) and buys back when the volatility is below 95% rank of the past 100 days
Have included the backtest results since 1993 which is 28 years of data at the time of writing. Comparison of traditional buy and hold with this modified strategy can be found below:
Traditional buy and hold:
Return per year: 7.95 % (ex Dividends)
Total return: 851.1 %
Max drawdown: 50.79 %
'Modified' buy and hold (this script):
Return per year: 9.92 % (ex Dividends)
Total return: 1412.2 %
Max drawdown: 31.57 %
Feel free to use some of the market filters in my trading profile to improve and refine your strategies further, or make a copy and play around with the code yourself. This is just a simple example for demo purposes.
