[KL] Relative Volume StrategyThis strategy will Long when:
Confirmation #1: when volume is relatively high
Confirmation #2: during periods of price consolidation (See )
It exits when either (a) stop loss limit is reached, or when (b) price actions suggest trend is bearish.
Measuring price volatility to assume consolidation:
For each candlestick, we quantify price volatility by referring to the value of standard deviations (2x) of closing prices over a look-back period of 20 candles. This is exactly what the Bollinger Band (“BOLL”) indicates by default.
Knowing the value of standard deviation (2x) of prices (aka the width of lower/upper BOLL bands), we then compare it with ATR (x2) over a user-defined length (can be configured in settings). Volatility is considered to be low, relatively, when the standard deviation (x2) of prices is less than ATR (2x).
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Ichimoku Long and Short StrategyThis is a script which tell u when all the parameters in the ichimoku are positive or negative this to open a long or short.
Conditions to show a long:
-Ichimoku cloud in green
-Price Close above Ichimoku cloud
-Lagging span above cloud
-Conversion line above base line
Conditions to show a short:
-Ichimoku cloud in red
-Price close below Ichimoku cloud
-Lagging span below cloud
-Conversion line below base line
Dont take this as principal signal to take longs and shorts. Create your own strategy and dont trust 100% in te indicator.
For highers TF use highers TP and SL and for lowest TF use lowest TP and SL.
This is te settings i use :
15M TF
Conversion line: 9
Base line: 26
Lagging span: 52
displacement: 26
TP: 5%
SL: 3%
1H TF
Conversion line: 9
Base line: 26
Lagging span: 52
displacement: 26
TP: 8%
SL: 4%
If u find better settings pls share ir with us.
TF = Time Frame
TP = Take Profit
SL = Stop Loss
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BTC Volatility Band StrategyThis script/strategy is a pullback system designed for securities with high volatility so naturally Bitcoin is an excellent choice for trading this. This could be used both on a daily chart or on lower timeframes (I found good results on 3hr timeframe but haven't tested it on anything under 1hr).
A volatility band is created by comparing the candle close price of the previous 2 candles and and it uses this change in price to create a moving average. A band is wrapped around the moving average with a standard deviation of 1 for the inner band and 2 for the outer band. If the price is above a pre-set MA (moving average filter) then it is determined we are in an uptrend so the strategy will issue a buy signal when we are in an uptrend and there is a pullback which causes the lower inner deviation band to be spiked, but if the price continues and falls through the outer deviation band then a buy signal will not issue as this detriments that the volatility spike is to great. You can see a spike "buy" event occur on the indicator where the background is coloured green. For a short/sell then there will be a spike on the upper inner band and we are below the pre-set MA filter, for this it shows with red background on the indicator.
The user can change the date range they wish to test, the moving average period for the volatility tracking and the inner and outer band deviations. On BTC I left the inner deviation and outer deviation bands on standard settings but found the 3 period volatility tracking to be good for trading 1 day chart and the 5 period volatility tracking good for the 3hr chart. Since this is not a buy and hold strategy then for trading you would probably want to stick with the most liquid coins so you can get in and out very fast on any exchange. If you wanted to tray this on less volatile markets then changing the inner deviation band to ~0.75 would work okay in various futures markets likely stocks as well. The take profit and stop loss levels are based on a multiple of the trading range looking back the past 7 candles.
Attached result is trading 1 BTCUSDT contract on Binance.
SuperTrend - Custom Screener and Dynamic AlertsTrading View today published a desktop Bad Internet connection indicator ?! which set me thinking…
Despite recently introduced Dynamic Alerts many scripts do not leverage the information available for active traders and traders on the GO!
So decided to share this script totally ALERT focused on one of the most popular DAY trading indicators.
Of course no more BAD internet problem as long your TV APP is configured , you will have enough data for a mental picture of the chart..
The Alerts give you the BAR Close , %percent gain or loss over previous day CLOSE ++ Previous Day High and Low to effectively plan your trade without a chart!(just in case)
2 additions in the way Alerts are delivered over the last script :
1. You get SUMMARY alerts or concatenated alerts by default , however if you uncomment or activate code lines 48 and 55 you will get individual Stock alerts Too!
2. Summary Alerts will come only if there is some Buy or Sell signal NO more empty Alerts!
Few useful EXTRAS in the code :
1. Flexible code can convert any indicator to screener or Alert function.
2. You will NOT get Mutable Variable error while converting any indicator to screener as long as the function is in "GLOBAL" scope..
3. Many Custom Screeners are available but few give OHLC data in output so easily…and very difficult for traders to MODIFY hundreds of lines of code..
4. For UP or DOWN on SCREEN Stock monitoring copy /paste functions in line 41 and 42 in lieu of CROSS functions in 44 and 51 respectively..
5. You can also uncomment/activate lines 66 and 67 for labels in monitoring.
6. The default mode of the scripts is set to Alerts!
Max Stocks only 20!
Finally idea is to help traders to use the great features that TV works so hard to create and constantly improvise.
Enjoy Profitable Trading on the Fly !!
PMax on Rsi w/T3 *Strategy*Profit Maximizer Indicator on RSI with Tillson T3 Moving Average:
PMax uses ATR calculation inside, for this reason users couldn't manage to use PMax on RSI because RSI indicator doesn't have High and Low values in bars, but ATR needs that values. So I personally calculate RSI in a different way to have High and Low values of RSI wrt price bars.
IMPORTANT:
Because of the sudden movements and divergences on RSI , this indicator must firstly optimized for the charts before using. Optimization can be held by users for the meaningful parameters for each chart.
3 parameters are critical when optimizing:
First: Multiplier
Second: Tillson T3 Length
Third: T3 Volume Factor
Says, Kıvanç Özbilgiç. Here's the strategy version for you to backtest & optimize properly.
Enjoy.
Newton theory (Bollinger Band Breakout)Initial capital 1000 USD
Order size 10%
Commission 0.3% with slippage
Timeframe 4h
This is Simple Bollinger Band Trend find out strategy.
I'm using the usual trailing offset as an exit for this strategy.
using 1x leverage to go long short within 3years backtest result more then 200% for all usd pair.
in next version i will try to find out more optimize sma,std,sl,tp parameter by using freqtrade hyperparameter optimization.
Happy Trading :)
3 EMA + Stochastic RSI + ATR 3ESRA
v0.2a
Coded by Vaida Bogdan
3ESRA consists of a 3 EMA cross + a close above (for longs) the quickest EMA
or below (for shorts). Note that I've deactivated the RSI Cross Over/Under
(you can modify the code and activate it). The strategy also uses a stop loss
that's at 1 ATR distance from the entry price and a take profit that's at
4 times the ATR distance from the entry price.
Chandelier + BB + EMASIn this strategy I am using the Emas and bollinger bands' width to determine the entry conditions:
Objetive of emas: Determine the current market trend
BB: Avoid low volatility market periods
Chandelier: Exit trades
Long Condition:
Once the fast moving average turns above the slow ma is first signal
Entry into the trade if the width crosses above the threshold set up by the user
Short condition: Exact opposite to long condition
Current idea is using an suppose capital of 1000 USD and paying commissions of 0.2%.
Educational purposes only at the time.
Crypto EMA Trend Reversal StrategyThis is an EMA crossover strategy which involves 5 EMAs to trigger trades. The strategy has two take profit settings and uses a stop loss.
TP1 and SL are based on ATR and TP2 is an EMA crossover.
The strategy goes both long and short and the default settings work particularly well as a scalping strategy for ETHUSDT on the 5M time frame.
I have also created another version with tweaked settings for scalping LINKUSDT on the 5M with very similar results.
There is an option to add a volume condition parameter within the script on lines 26-28 which can be added to the end of lines 34-35 in the following format: and vol_cond
I personally don't currently use the volume condition parameter.
Long/Short Volatility AlgoA modification of my leveraged ETF algorithm. Giving out for free because it's a sloppy algorithm, and I personally use a much more refined algorithm developed by someone much smarter than me.
EMA RSI ATR Hidden Div Strat - 1 MinHey there!
Hereby I present you the EMA RSI Lowest Low Hidden Divergence strategy, which I discovered on a youtube channel.
He has tested the strategy hundreds of times manually, herewith I try to automate the whole thing.
Since I use the strategy with a bot, it can only enter long positions for now. But in the future I will add the possibility to trade short positions.
The strategy was tested with BTC/ USDT in 1m chart (8 days). The values must be adjusted depending on the timeframe and coin.
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How does the strategy work?
First of all, we need a bullish hidden divergence.
Once this is detected, the following parameters are checked:
The 50 EMA must cross the 250 EMA .
Then, the candle must close above the 50 EMA .
The K line of the RSI STOCH indicator need to crosses the D line.
If the next candle closes above the 50 EMA , a long position is opened.
The stop loss is determined with the "lowest low/highest high lookback".
The profit factor is multiplied by the value of the lowest low/highest high lookback.
The results of the strategy are without commissions and levers.
If you have any questions or feedback, please let me know in the comments.
In the future I will add other types of stop loss / take profits. (ATR; %; eg.)
I wish you good luck with the strategy!
HMA_ATR StrategyATR with HMA experimental minimalist bot for ETHBTC .
A strategy for use by Automated Algorithm systems.
Different from normal ATR as it uses HMA for smoothing.
Example settings result shown here on chart include commission 0.5%
[EURUSD60] BB Expansion StrategyOverview
This is a strategy that can be used in the EURUSD 60 time frame.
It is a trend-following method that uses Bollinger Bands Expansions.
The idea of using Bollinger Bands expansion is well known to the general public, but I don’t know any strategy that this idea has been PINE coded.
The three main components of this strategy are as follows.
・Long term BB and Short term BB : When the short term BB expands more than the long term BB, it suggests the occurrence of a trend.
・14EMA of 240 t/f : The direction of 14EMA of the upper time frame is used as the trend direction.
・ATR lines : As a stop-loss line and a take-profit line.
Description
Fig. Long entry pattern
Fig. Short entry pattern
・Description of lines
Gray : Large BB (=Long term BB)
White : Small BB (=Short term BB)
Blue or Red line : Upper t/f EMA(default: 14EMA), blue is up-trend, red is down-trend
Yellow : Stop loss line by ATR(the term is 14)
Purple : Take profit line by ATR(the term is 14)
・Description of strategy
First of all, when the small BB expands more than the large BB, this strategy detects the occurrence of a trend.
Second, When the price crosses over or crosses under small BB basis, this strategy entries long or short to trend direction (by upper time frame 14EMA).
The default stop-loss range is three times ATR value, and the default take-profit target is 1.5 times the stop-loss range (=risk reward ratio is 1.5).
Multi Supertrend with no-repaint HTF option strategyThis is the strategy version of the multi supertrend indicator.
The RoMDD looks good :)
Checked in ETHUSDT 1hour with auto HTF ON.
Have a look :)
Binance Estimaed Liquidations indicator/strategy
1) Provides ESTIMATED liquidation amount based od difference on volume between binance futures and coinbase spot(by default, you can change this)
2) Provides some strategies based on this numbers
breakout crossover 4H 1DHi, this script is crossover between breakouts of 4H and Day timeframe. It also checks candlestick patterns before opening trades. Red horizontal line acts as support and resistance of Daily timeframe. You can close trades at next signal or at High/Low. Enjoy trading.
Momentum Trading Strategy (Weekly Chart)The strategy will open position when there is momentum in the stock
The strategy will ride up your stop loss based on the super trend.
The strategy will close your operation when the market price crossed the stop loss.
The strategy will close operation when the line based on the volatility will crossed
Bollinger Band + RSI + ADX + MACD + HeikinashiThis script takes into picture Bollinger Bands, RSI with a comparator value, ADX with a comparator value, and MACD with Heikinashi Direction
THIS IS A LONG-ONLY STRATEGY. SHORT TRADES ARE NOT INCLUDED
Strategy:
The Strategy takes a trade only after ALL the following conditions are met.
Candle low is lower than the Bollinger Lower band
RSI is higher than the comparator value
ADX is higher than the comparator value
MACD value is higher than the Signal value
Stop Loss : Max of (Low of the candle - 0.22% and Close of the candle - 0.32%) - FYI, because its max, it's lower of the 2 and your risk is lesser
Target : Max of (Bollinger Band Upper band and 0.75% of the value of underlying) - FYI, it takes the maximum available
TDI Hedge Strategy
This is the incomplete version but upon multiple requests, I have released it early. All of the strategy and alert functions are yet to be written and I'll get around to it soon.
This indicator aims to be the best TDI indicator on TradingView. It is a strategy or study. It will have all of the filter, entry, and exit conditions for the strategies around the TDI.
What is implemented
MFI or RSI: the MFI is a much better TDI baseline than the RSI, in my opinion, and very effective
EMA or SMA used for the moving averages on fast, slow, and volatility band
Dynamic timeframe: set a factor of current timeframe and indicator will analyse higher timeframe automatically
Manual timeframe: set a higher timeframe to analyse different to currently viewed
Features for later
conditions for TDI filters/entries/exits
Strategy functions to use built-in strategy tester
BTE signal plot for Backtesting & Trading Engine
alerts
Enjoy!
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!
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.
