Bollinger Bands Fibonacci Ratios StrategyHello, everyone!
We have just released an innovative strategy for TradingView. It allows you to identify price pivot points and volatility.
This strategy is:
User-friendly
Configurable
Equipped with Bollinger Bands and smoothed ATR to measure volatility
Features
Thanks to the BB Fibo strategy, you can:
Trade stocks and commodities.
Identify price pivot points.
Choose any band for trading Long or Short positions.
Swap upper and lower bands applying Use Reverse Buy/Sell parameters.
Note! The upper bands are for the Long position. The lower bands are for the Short positions.
Parameters
We have equipped our strategy with more than 14 additional parameters. So, you can configure the EA according to your needs!
Inputs:
Length
Source: Open, High, Low, Close, HL2, HLC3, OHLC4
Offset
Fibonacci Ratio 1 — a Fibonacci factor for the 1st upper and lower indicator lines calculating.
Fibonacci Ratio 2 — a Fibonacci factor for the 2nd upper and lower indicator lines calculating.
Fibonacci Ratio 3 — a Fibonacci factor for the 3d upper and lower indicator lines calculating.
Use Reverse Buy — the strategy will use lower Bollinger bands instead of upper ones.
Fibonacci Buy — band selection for opening Long positions conditions.
Use Reverse Sell — the strategy will use upper Bollinger bands instead of lower ones.
Fibonacci Sell — band selection for opening Short positions conditions.
Style:
Basis — baseline color and style settings.
Upper 3 — the 3d upper line color and style.
Upper 2 — the 2nd upper line color and style.
Upper 1 — the 1st upper line color and style.
Lower 1 — the 1st lower line color and style.
Lower 2 — the 2nd lower line color and style.
Lower 3 — the 3d upper line color and style.
Background — the background color within the 3d upper and 3d lower indicator band.
Precision — the number of decimals for BB Fibo values.
Note! Try BB Fibo on your demo account first before going live.
ניתוח מגמה
robotrading ZZ-8 fractalsThis is another version of my ZZ type strategy. This script now uses Bill Williams' fractals.
Strategy
Step 1: Calculate Bill Williams' Fractals
Step 2. A line is drawn from the fractal
Step 3. Create a stop order to enter the position on the line
Trading
If the price is above the lime line, open a long position (and close a short position).
If the price is below the red line, open a short position (and close a long position).
For
"Cryptocurrency / fiat or stablecoins" (BTC/USD, ETH/USDT, etc)
Timeframe 4 hours or more
Simple EMA Crossing Strategy TradeMathSimple EMA Crossing strategy, based on crossover Fast exponential moving average = EMA21 and Slow exponential moving average = EMA55.
Default stop loss is 3%, but you can change it.
Default take profit is 9%, it based on stop loss.
Risk to Reward ratio is 1 to 3.
Strategy was tested on BTCUSDT 1H timeframe and works fine with these parameters.
[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
WhaleCrew BacktesterBacktesting indicators is easy , just add the following line of code to your script:
plot(longEntry ? 1 : shortEntry ? -1 : longTP ? 0.5 : shortTP ? -0.5 : 0, color=na, editable=false, title='Backtest')
These numbers are defined as constants in the backtester source-code.
After adding this indicator to your chart:
1. Open Settings
2. Select supported indicator to backtest
3. Select if you want to enter Longs and/or Shorts
4. Open the 'Strategy Tester' at the bottom to check the performance
Remember:
past performance is not indicative of future results
repainting indicators will create wrong/unrealistic results
Ichimoku StrategyThis is an automated Ichimoku Cloud system.
If you're interested in this script with alerts so you can fully automate your Ichimoku Cloud trading, please send me a PM @idonthodl
Buy signal when these three conditions are true:
1. Conversion line goes above the base line
2. Price is above the cloud
3. Lagging span is above price
Stop loss when:
Price goes below the breakout candle
Take profit when:
1. Conversion line goes below the base line again
DC Breakout Strategy | This is simplicity at its finest.As the title already describes: this is a Donchian breakout strategy. This strategy, as of now, only goes long. It goes long when the price close makes a new high and the 8 day moving average is above the 32 day moving average. The strategy exits the trade if the price breaks the atr trailing stop of * 3 or the 8 day moving average crosses below the 32 day moving average.
This is simplicity at its finest.
Swing Multi Moving Averages Crypto and Stocks StrategySimple and efficient multi moving average strategy combined with risk management and time condition.
Indicators/ Tools used
Multi selection moving average type like SMA , EMA , SMMA , VWMA , VIDYA , FRAMA , T3 and much more
Limit 1 entry max per week, entry on monday exit on sunday or risk management tp/sl.
Rules for entry:
LONG:Close of the candle cross above the moving average while the previous close was below. All of this is happening during monday session.
SHORT:Close of the candle cross below the moving average while the previous close was above. All of this is happening during monday session.
Rules for exit:
We exit either on sunday or if we reach tp/sl levels.
Observations:
I recommend use the strategy 2 types, one for long and another for short, using different parameters since long and short movements behave differently.
For example for long we can use a shorter moving average longth and a higher tp/sl while for short we can use a bigger moving average length and a smaller tp/sl
If you have any questions let me know !
Swing VWAP Crypto and Stocks StrategyThis is a strategy designed for swing trading on markets such as crypto and stocks.
Its components are:
VWAP
Time Management
Risk management
Rules for entry:
We entry only on Monday, if our close of the candle crossed above VWAP
Rules for exit
We exit always on Sunday or if we either hit the TP/SL levels.
If you have any questions let me know
BANKNIFTY OPTION INTRADAYthis strategy used to determine and anticipate potential changes in market price and reversals. The Highs referred to in the title are created based on the number of bars that exhibit lower highs on either side of a High, whereas the Lows are created based on the number of bars that exhibit higher lows on either side Low.it also analyzing price changes and reversals, a trader has more of an ability to determine and predict price patterns and general price trends...
The backtest results are based on BANKNIFTY last year's data. It has an initial capital of 10000 and the size of the lot is 4.banknifty option weekly expiry has very low premium so we can take 4 lot in less than 30k.. The target is 50PINTS and stop-loss is 100 points. The commission paid is 20 cash per trade and the slippage is 5 ticks per trade. Some of the Indian broker's commission is only 10 cash per trade. Adjust the commission as per your broker. Trades are conducted based on the intraday time in India set from 9.20 am to 3:20 pm. All positions will get square off at 3.20 pm. All other parameters are suitable for Robo trading with Indian stock brokers.
Also added Quantity feature it automatically double the quantity on losing trade
reasons why to use strategy
1) human psychology never focus on one thing... We never follow one strategy for long time... Bcs we hve greed... If some one says indicator give u 95% than we chnge our strategy which on we r working but indicator didn't give u back testing... Our strategy gives back testing... On 5 min chart of banknifty future... Tv on premium membership give one year back testing... And on crypto it gives 2month backtesing on 5min chart
2) we hve sufficient back testing trades... On 1year back testing minimum 700 trade should be done for back testing bcs thn we know how our strategy work on all market conditions.... For crypto in 2 month back testing more thn 300 trade needed to know it's performance... Our strategy produce suffiend trades... So we know how it works on all market conditions
3) we provide banknifty strategy for intraday... So it's open trade after 9 20 and close all position on 15: 20...so it's backtesing is sure shot perfect
4) for banknifty option strategy... We have made it to book profit or loss in 5 to 15 min... So no time factor effect... So vry profitable for option buyers
5) for banknifty option we had made it fully auto it's automatically buy at auto strike price.. So no tension to select strike price
6) u can also choose weekly or monthly expirey
7) we hve provided table for monthly proprofits... So we know how it's work on every month
8) last but not least...key of 🔑Sucess in stock market and crypto is following the right path for long time... With non biased strategy with positive backtesting result... And all the best
caution: always follow risk management before using strategy
WaveTecs StrategyWelcome to the Backtesting version of "WaveTecs Strategy", the indicator itself is an invite-only script called "WaveTecs Indicator" on TradingView.
WaveTecs Strategy
WaveTecs is a Strategy that combines Wave Trend Oscillator and verifies wave momentum by using RSI and Stochastic Oscillator Values.
What is Wave Trend?
One of the most effective indicators in identifying swings is the Wave Trend indicator. Wave Trend plots waves using highs and lows between an upper band and a lower band. It looks for the opening and closing of a new wave trend movement as well as overbought and oversold areas.
How does this modified strategy work?
By using RSI and Stochastic values we are able to verify Wave inflection points to determine if there is a suitable amount of momentum to ride the swing and make profitable trades. Positions are taken or closed based on the rising or falling momentum.
Each value input can be adjusted to best suit the type of market you are trading in. By using the strategy we can optimize these value inputs to yield greater net profits. I have found the RSI and Stochastic values hugely impact entries and exits regarding trades.
For Long conditions:
- RSI & Stochastic needs to be increasing and moving out of oversold conditions to show positive momentum.
- Falling momentum results in a sell signal. I have found RSI less than 65 to be sufficient in most markets however this can be adjusted at any time to yield different results depending on your comfort level.
For Short conditions:
- RSI & Stochastic needs to be decreasing and moving out of overbought conditions to show negative momentum.
Generally, Wave Trend Strategies only take trades that are outside of the bands. This strategy allows trades inside and outside of the bands, which can be selected under the input section title "Aggressive Trading". Trading in this mode is more frequent as signals are often. Due to volatility in crypto markets, I have defaulted the source for Wave Trend waves to be Open/High/Low/Close Average which yielded great results. High/Low/Close average works very well for all other securities, and can easily be adjusted through the drop-down menu inside the inputs.
Works for all types of markets. Parameters can be adjusted but not required as indicator values are standard in the industry.
The default parameters are set to those typically used in the markets currently. However, I have found that if you adjust you to adjust the parameters based on your asset and time frame desired you will yield different results.
----------------
For example:
----------------
ETHUSDT - 4 HR, results are shown below
Wave Trend Parameters:
Aggressive Trading: Yes
Channel Length: 12
Average Length: 24
Overbought Top: 90
Overbought Bottom: 75
Oversold Bottom: -90
Oversold Top: -55
Source: hlc3
Strategy Type:
Trade Direction: Long Only
Stochastic Inputs:
Stoch Length: 18
Smoother %K: 5
Moving Average %K: 4
%K Lower Limit: 21
%K Upper Limit: 80
%K Crossunder Sell: 80
Relative Strength Index Inputs:
RSI Lower Limit: 30
RSI Upper Limit: 70
RSI Sell Value: 68
==================
WaveTecs Features
==================
Profitable Trading Strategy;
Aggressive Trading feature for more trades, with earlier entries and exits;
Customizable inputs to fine-tune your trades;
Buy & Sell Alerts (Indicator Only);
Overlay indicator only to show alerts, WaveTecs Strategy needed to see Wave Trend;
Bot Integration through webhooks;
Two different strategy modes: Long Trades Only or Long & Short Trades
Adding new features & updates whenever possible.
Add both WaveTecs Indicator and WaveTecs Strategy to your chart. WaveTecs Indicator only plots Buy & Sell Alerts, whereas WaveTecs Strategy lets you see what the strategy is doing.
[BTCUSD] Folow Trend & Autotrade Binance FutureCommission = 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.
1. H3 timeframe: Supertrend indicator.
- Long when the closes candle is above Green line.
- Short when the closes candle is below Red line.
2. H1 timeframe: Keltner channels indicator.
* Keltner channels setting:
+ Length = 50
+ Multiplier = 1
+ Use Exponential MA: true
+ Band style: Average true range.
- Long when the close candle crossover the Keltner Upper
- Short when the close candle crossunder the Keltner Lower
3. Entry rule:
Open Buy: Supertrend & Keltner channels are Long. Buy when closes candle crossunder Basis line and closed above Lower Keltner
Open Sell: Supertrend & Keltner channels are Short. Sell when closes candle crossover Basis line and closed below Upper Keltner
4. Stoploss is moving the trend.
Stoploss = Height of Keltner * 1.2.
5. Not repainting
6. Overview result backtesting:
a. Longterm: Every 2 years
2018 to 31/12/2020
2017 to 31/12/2019
2016 to 31/12/2018
2015 to 31/12/2017
2014 to 31/12/2016
2013 to 31/12/2015
2012 to 31/12/2014
b. Midterm: every year.
2020-2021
2019-2020
2018-2019
2017-2018
2016-2017
2015-2016
2014-2015
2013-2014
2012-2013
c. Shorterm:
2020 to today 13/11/2021
Smoothed Waddah ATR~~~All Credit to LAZY BEAR for posting the original Script which is an old MT4 indicator.~~~~
No this system does not repaint... if it does let me know. Either the code is wrong or you are using a repainting chart such as renko candles.
*PURPOSE*
This Is an "Enhanced or Smoothed" version of the script that captures the heiken-ashi closing price as its main calculation variable. While using normal bar or line charts. Enhancements integrate trade filters to reduce false signals.
*WHAT TYPE OF TRADING STRATEGY IS THIS?*
This is a Long Only, Trend Trading System. Is intended to be applied to Charts/Timeframes that produce sustainable trends for which ever asset you are trading.
*NOTE OF ADVICE REGARDING SETTINGS*
Settings can be tweaked but I have found that best results come with the given settings. If a chart is too choppy to trade this indicator successfully, it is advised not to change the settings but either find a different timeframe or different asset to apply this strategy to.
TLDR
Indicator measures the change of the MacD (difference between MAC D of given EMA's) and compares it to the difference between the Upper and Lower Bollinger bands. Green bar over trigger line= entry. Red bar over trigger line = close.
*SETTINGS AND INPUTS*
-MacD of HeikenAshi chart (will always be of the Heikenashi chart even when applied to different chart type)
sensitivity = input(150, title='Sensitivity') =range should be (125-175)multiplier so that MacD can be compared to BB
fastLength = input(20, title='MacD FastEMA Length')
slowLength = input(40, title='MacD SlowEMA Length')
-Bollinger Band of currently used price chart type
channelLength = input(20, title='BB Channel Length')
mult = input(1.5, title='BB Stdev Multiplier')
-14 Period RSI Trade Filter (set to 0 to Disable)
RSI14filter = input(40, title='RSI Value trade filter') =only gives entry when RSI is higher than given value
*ABSTRACT & CONCEPT*
TLDR - Indicator measures the change of the MacD (difference between MAC D of given EMA's) and compares it to the difference between the Upper and Lower Bollinger bands. Green bar over trigger line= entry. Red bar over trigger line = close.
Indicator plots -
Bars are the change in the MAC D and the indicator line is the difference in the BB.
When Bars are higher than the indicator line then it is considered a trend "Explosion"
Green Bars are Trend Explosion to the upside, Red Bars are Trend explosion to the downside.
GENERAL DETAIL-
the core calculation is measuring the change in MacD of current candle compared to the MacD of two previous candles.
This value is multiplied by the sensitivy so it can be compared to the change in Bollinger Band Width.
if the MACD change is positive then you get a green/lime bar for that value. If the MacDchange is negative you get a red/orange bar for that value.
and are determined by whether the actual change is increasing in that direction or decreasing. (bars getting taller or bars getting shorter)
Entry signal for long is A positive change in MACD difference (Green bar) that is greater than the change of the bollinger band (orange signal line) AND if the RSI value is above your filter.
Close signal or Trend Stop Warning Signal is given when a Negative MacD Difference (red bar) is greater than the change of the bollinger band (orange Line)
*CONSIDERATIONS AND THOUGHTS*
I have over 150 iterations of this indicator and this is the most consistent and best version of settings and filters I was able to generate. I built this indicator specifically for 3 charts. SPY monthly, QQQ monthly, BTC 3 Day. However this indicator works well on any long term bullish chart. (tech stocks are great) .
Trend trading systems are intended to be homerun hitting, plunge protecting indicators that allow for long legs and expanding volatility. This indicator does this as the trigger line is Dynamic with the expansion and contraction of the bollinger band.
I do not take every signal specifically not the close signals. Instead they more like warnings in ultra bullish environments.
If i had to pair this indicator with any other filter than the RSI, it would be a long term moving average i.e. the 50 week or equivalent for your chart. signals above rising moving averages means that you are trading with an upward trending market.
Hope this helps. Happy trades.
-SnarkyPuppy
[Joy] Jasmine Strategy for Bitcoin and CryptoIt is my strategy I use for spot and future trading, mostly for BTCUSD
Notable parameters used:
INDEX:BTCUSD
Data: 2017 - today
Long trade margin/leverage: 8x (50/8 = 6.25)
Short trade margin/leverage: 1x (50/50 = 1)
Commission: 0.075%
Initial Capital: $15, 000
Results:
Net profit: 832.74 %
Buy & Hold: 602.56 %. It beats the buy and hold.
Percent profitability: 88 % . It means 8 out of 10 trades resulted in profits.
Margin Calls: 0 (i.e. Never had a margin call according to backtest from 2017 till today)
Total closes trades: 25
Profit factor: 8.238
Avg Winning Trade: 43.08 %
Largest Winning Trade: 334.85 %
Avg # Bars in Winning Trades: 44 (i.e. 88 days)
Sharpe Ratio: 0.61. A Sharpe ratio under 1.0 is considered sub-optimal. Because of the big swings, I cannot make the Sharpe ratio any better at this time.
Sortino Ratio: 5.153. I think a Sortino ratio of 3.0 or higher is considered excellent. Do your research.
I am using 7.1% stop loss on long trades. However, you can turn off the stop loss and note the profitability remains the same.
Do remember there may be other costs, such as funding costs.
Description:
The strategy hunts for a few market features, namely breakouts, abnormal wicks relative to the body, abnormal volume relative to the candle characteristics, and possible confirmation of all these. It also hunts for more aspects. It gives a relative score of each of the characteristics. Finally, it tries to draw a guesstimate. In the end, it is only a guesstimate. Users see the final outcome (buy/sell etc). The whole logic happens at the background.
The strategy is not to be used for scalping, day trading or swing trading. In other words, it is not suitable for trading in a lower timeframe. It is to be used for Positional Trading For example, if one is trying this for BTCUSD, one may only try this for BTCUSD in a 2day timeframe and not in lower timeframes (such as 4 hours or 1 hour etc.) I am primarily interested in BTC for my research. However, it may be tested on other cryptos as well with varying degrees of results.
Please remember that past performance does not be indicative of future results. Different types of investments involve varying degrees of risk. There can be no assurance that the information referred to directly or indirectly in this strategy will be profitable, equal to any corresponding historical performance level(s), or suitable for you in any form or shape. Market condition changes very fast. Moreover, it would be best if you did not assume that any discussion or information contained here serves as the receipt of, or as a substitute for, personalized investment advice. I am not a financial advisor. I have no qualifications to be a financial advisor. It is only for educational and research purposes. Readers are encouraged to consult with a professional advisor of his/her choosing. Neither I nor my indicators or strategies take any responsibility for any misuse of the information for any actual trading. Even though this strategy did 88% profitability from 2017-2021, it may do poorly and may even be NOT profitable in the future.
Adaptive Hull MA Trend tracerBINANCE:ETHUSDT
This is the first attempt to create a "PEFECT" trend tracer.
All the Moving Averages have a lag but I personally like the Hull Moving Average for the fast response and noise reduction.
However, due to the market behavior it is hard to choose the correct length of the Moving Average that will be suitable for current situation.
This Indicator uses the Bolinger Bands Width to adapt the length of the Hull Moving Average according to the following rule:
1) if the BBW (Bolinger Bands Width) is small => length of the MA is bigger in order to filter the noise of small price changes.
2) if the BBW is bigger => MA length is smaller to track the trend more accurately.
This script also has a strategy logic with RSI for a better entry and exit as well as the minimum allowed MA length.
Further work:
1) Full adaptation of the Moving average
2) Filter bad entries
Please let me know of any suggestions for improving this indicator.
