Non-Rescaled RSI█ OVERVIEW
Relative Strength Index is a momentum oscillator developed by J. Wilder. The original version of RSI rescaled the relative strength measurement to range. While the rescaling is useful for readability, This non-rescaled version tells the exact average relative strength of the movement for the past period, and give another way to put the relative strength reading into context of current market condition.
█ Description & How To Use
1. The (+/-) in relative strength value indicates the direction
Example 1: Relative Strength of 2.33 means average gain is 2.33 bigger than average loss for the past period (Equivalent to RSI 70)
Example 2: Relative Strength of -2.33 means average loss is 2.33 bigger than average gain for the past period (Equivalent to RSI 30)
Example 3: Relative Strength of 0 means average gain is equal to average loss for the past period (Equivalent to RSI 50)
Look at comparison below:
2. You can use it exactly how you would use RSI: Overbought/Oversold state, Divergence, Trend identification, Failure Swings etc..
█ Features
- Overbought/Oversold line still maintainable as standard RSI level (70,30) in user input screen. The script will recalculate and plot the ob/os level accordingly
- Value Label to indicate the RSI and RS value
- Custom Gradient Color Scheme
█ Limitation
The Relative Strength absolute value is capped at 20 to avoid ratio value too big(or too small). This is enough to get accurate equivalent of RSI reading between 5-95
█ Disclaimer
Past performance is not an indicator of future results.
My opinions and research are my own and do not constitute financial advice in any way whatsoever.
Nothing published by me constitutes an investment/trading recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities.
I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions.
Krypto
Maximized Moving Average Crossing (by Coinrule)Using the crossings of two Moving Averages to trade in a trading strategy is a Trend-Following approach. As the name would suggest, to be successful, it requires the asset to be on-trend.
The general limit of a common strategy based on Moving Averages is that they underperform when the market is less volatile or trading sideways. When volatility compresses, the indicators get very close one to another, crossing each other very often. That's exactly the condition when trend-following strategies underperform.
To improve this strategy, it's useful to filter the buy signal using the RSI. When the RSI is close to overbought conditions, that means that the coin is likely trading in an uptrend. Strong uptrends usually come with RSI values that stay overbought for long periods, creating interesting opportunities.
Setup
Buy condition: the MA9 crosses above the MA50, and at the same time, the RSI has a value greater than 55.
Sell condition: the MA9 crosses below the MA50.
The strategy is optimized to provide better results on the 1-hr time frame, but it could work well also on higher time frames, such as the 4-hrs.
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
MrBS:Directional Movement Index [Trend Friend]I started this project with the goal of making a DMI/ADX that was easy to read at a glance. Its since become a little more then just colouring the slopes. The majority of the time, the best returns come from trending markets (THE TREND IS YOUR FRIEND... until the end) and I hope this helps people become good friends with the trends.
----- Features
- A function to change the values used for calculation from real OHLC and Heikin Ashi. This allows us to look at different chart types but see the specific ADX we choose. Originally HA values were used for calculation since it is easier to see trend on HA charts. However when testing it was not as effective as the ADX calculated from the real values on normal charts. So the default function was flipped and real OHLC values are used as default.
- Two ADX plots so we can see two different smoothness's. With a smoothing of 2, a slight slow down in PA can cause a negative slope but the smoother ADX will stay trending unless its a major change. 2nd ADX is slightly transparent.
- There is an EMA of the main ADX that can be used as a exit signal filter. If the ADX starts going down but has not crossed the EMA we would stay in a trade.
- Plots (excluding EMA) are coloured based on positive or negative slopes.
- Fibonacci numbers have been used to create different trend levels, instead of the standard 25, 50, 100.
- Alerts for every useful situation to help save time and not have to manually enter levels or crosses each time.
- In the code there are 8 EMAs and 3 ADXs but it was too much so they have been slashed out, but are fully functional if you choose to activate and use them. To reactivate the 3rd ADX delete slashes on lines 50, 65, 78, 92-95, 165. The slashed out EMAs are much more obvious and easy to reactivate.
Colours:
ADX going up = Green
ADX going down = Red
DMI+ going up = Bright Aqua
DMI+ going down = Turquoise / Dark Aqua
DMI- going up = Bright Purple
DMI- going down = Dark Purple
EMA = White (50% transparent)
If there is anything that would be useful, let me know and I will add it in. I've already got some improvements/changes planned and some of my notes can be found in the code.
There is also a strategy to go with this indicator that will be uploaded very soon.
Screener - Mean Reversion Channel█ OVERVIEW
This is Screener script for Mean Reversion Channel Indicator
█ Description & How To Use
The screener works by scanning through up to 40 symbols and list down symbols that are currently within Overbought/Oversold Zone as defined by Mean Reversion Channel indicator.
The Overbought/Oversold Zone are further categorized and sorted by:
Strong : Indicated by "(Strong)" next to the symbol name
Normal : Indicated by the absence of "(Strong)" or "(Weak)" next to the symbol name
Weak : Indicated by "(Weak)" next to the symbol name
Notes: Refer to chart above to see how the Zone are categorized.
Notes: If the screener displays "Nothing Interesting". It simply means none of the screened assets are within the Overbought/Oversold Zone.
█ Features
- Scan up to 40 symbols at a time (By default, no asset is define. Once configured all the symbols you required, remember to save as default to save you from pain of configuring it again in the future)
- Options to scan by zones
- Custom Timeframe
█ Limitation
Due to multiple use of security() function required to call other symbols, expect the screener to be slow at certain times
█ Disclaimer
Past performance is not an indicator of future results.
My opinions and research are my own and do not constitute financial advice in any way whatsoever.
Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities.
I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions.
Any ideas to further improve this indicator are welcome :)
Credit: QuantNomad for his script idea on custom screener
[fareid] Quick Backtest Framework█ OVERVIEW
This Framework allows Pine Coders to quickly code Study() based signal/strategy and validate its viability before proceed to code with more advance/complex customized rules for entry, exit, trailstop, risk management etc..
This is somewhat an upgraded version of my earlier personal template with different strategy used, cleaner code
and additional features.
█ USE CASES
- You have an idea for trade signal and need a quick way to verify its potential before writing lengthy/complicated code
- You found a study script for trading signal in public library and want to validate it profitability with minimum effort before including it in your trading playbook
█ FEATURES
- Alert: Ready to use alert function based on signals from your custom indicator.
- Visual Backtest: Auto-plot entry, stop-loss and take profit for simple strategy performance analysis
- Backtest Statistic: Provide basic key metrics based on backtest strategy
- BTE External Signal Protocol: Ready to use code that will supply required state to PineCoders Backtesting & Trading Engine if you wish to have more advance and sophisticated backtesting engine
Notes: All of the above features have On/Off toggle
█ Description & How To Use
This Framework consist of 5 Modules but you only need to edit the first 2 Modules:
Module1: Indicator
Module2: Framework Input Protocol
Module3: Alert
Module4: Backtest
Module5: Backtest & Trading Engine
Tips: The source-code includes collapsible block by module for easy navigating
Module1: Indicator:
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Main Module. Place custom indicator input parameter/calculation/indicator plotting here
Sample Strategy: Double MACD Crossover
MACD Signal: 1st MACD Cross above signal line indicate Buy Signal
1st MACD Cross below signal line indicate Sell Signal
MACD Filter: 2nd MACD is above 0 line indicate Uptrend
2nd MACD is below 0 line indicate Downtrend
Module2: Framework Input Protocol:
-----------------------------------------------------------------------------------
Use this module to connect main indicator/signal calculated in Module1 to the rest of the framework's module
4 variables needed to be defined here:
1. Uptrend
2. Dntrend
3. BuySignal
4. SellSignal
i'm not sure how to place a code snippet here to show you example so in the source code i already put a comment in Module2 on which part u need to edit. I hope its pretty simple to use.
Module3: Alert Module Description:
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As long as the variables in Module2 properly defined, the alert module is ready to use without any further modification.
Input:
Enable Alert --> Enable TV's alert and plot signal to chart
Alert Type --> Set to take Buy only, Sell only or Both alert
Module4: Backtest Module Description:
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As long as the variables in Module2 properly defined, the backtest module is ready to use without any further modification.
Input:
Backtest Stat --> Enable Backtest Statistic Label
Backtest Visual --> Enable Backtest visual simulation
Backtest Type --> Set to take Buy only or Sell only or both
SL Type -->
ATR : Set SL in ATR times Multiplier below entry price
Fixed : Set SL in fixed point below entry point (in 'Dollar'). e.g. for Stocks -> 0.5 equals to 50cent while for EURUSD currency -> 0.005 equal to 50 pips
HiLo Bar: Set SL at highest/lowest wick of previous bar plus/minus Fixed point. e.g. EURUSD HiLo=3 and Fixed Point = 0.0005, buy trade will place SL 5 Pips below lowest of previous 3 bar
SL ATR Multi --> Set Lookback Period used for SL's ATR calculation
SL ATR Multi --> Set ATR Multiplier for SL
SL Fixed --> Set Fixed Level for SL
SL Bar --> Set Number of previous bar to check for SL placement
TP RR Ratio --> Set TP based on RR multiplier. e.g. 2 means TP level will be twice further from entry point compared to Entry-SL distance.
Notes: The point is for preliminary testing, so it only supports 1 trade at a time and no Trailing Stop
Module5: Backtest & Trading Engine Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the Pinecoders BTE module is ready to use without any further modification.
Input:
External Signal Protocol --> Set ESP State to send to "Backtesting & Trading Engine "
Signal With Filter --> Use this to send entry signal that already filtered by this study indicator (without stoploss level)
Signal Without Filter --> Use this to send raw entry signal that are NOT YET FILTERED by this study indicator (without stoploss level)
Signal and Stop With Filter --> Use this to send entry signal WITH StopLoss that already filtered by this study indicator (with stoploss level)
Signal and Stop Without Filter --> Use this to send raw entry signal WITH StopLoss that are NOT YET FILTERED by this study indicator (with stoploss level)
Notes: Backtesting & Trading Engine already have built-in Filter, Entries and Stop Level. e.g. Unselect all their filter state if only want to use custom filter and make sure send Signal with Filter (with or without SL level)
█ DISCLAIMER:
This framework main objective is to create my personal indicator template so that i just have to modify the indicator module for preliminary testing in future.
The sample strategy included are for educational purpose only. Use at your own risk
credit: LucF/PineCoders for a lot of his scripts that i use as a guide to complete this
Heiken Ashi MTF Strategy- IndicatorHello, this is both a strategy and indicator that revolves around Heikin Ashi candles.
In this case we take 3 different time frames, in this example we use daily , weekly and monthly.
The conditions for entry are :
For long : we check that we have a green daily candle, at the same time we check that the weekly and monthly candles are also green.
For short : We check that all candles, daily, weekly and monthly and red.
For exit of long : as soon as 1 of the 3 candles, daily or weekly or monthly converts to red, we exit.
For exit of short : as soon as 1 of the 3 candles converts to green, we exit.
This strategy- indicator can be adapted to any type of market.
Keltner Channels Color BarsAnother tweak to a classic built-in script. Simply replacing the Keltner Channels overlay plot with color bars.
CRYPTO HA Strategy money maker long termToday I bring you another amazing strategy.
Its made of 2 EMA in this case 50 and 100.
At the same time, internaly for candles we calculate the candles using the HA system ( while still using in live the normal candles). This way we can assure that even if we use HA candles, we avoid repainting, and its legit.
We first calculate the HA candles based on the EMA 50 values, and after that , we use that candle properties to apply to EMA 100.
Once we have that, for entries we have the next conditions :
sell = o2 > c2 and o2 < c2 and time_cond
buy = o2 < c2 and o2 > c2 and time_cond
For sell : Our open from HA 100 is bigger than Close from ha 100, and the previous open is smaller than previous close
For long : Our open from ha 100 is smaller than close from ha 100 and the previous open is bigger than previous close.
Then we have 2 options :
If we wnat to go only long , which is my prefered version ,or the original one where we go both long and short.
I found that the best results are in general around bigger timeframes, 1h+ , 3h works the best so far on my tests.
For exit we have 2 versions :
1 lets say we had a long signal, as soon as we have a short signal we close the trade. Viceversa for short.
2. Is based on price % movement. In this case I use 7.5% price movement of asset.
We have no TP in use for this system.
For the purpose of this test I use 10.000 $ account. For test I use 100% of it, without any leverage.
I use the SL based on price movement , which is a very risky tool, since it can fluctuate even at 20-30% of our capital.
For comission I used 0.1% for each deal, and a slippage of 5 points.
Be cautious with this system !
If you have any questions , message me.
Crypto MultiTrend multi timeframesHello, today I bring you another crypto strategy which can work with multiple timeframes and most of crypto currencies
Its made entirelly of multiple EMA , of different lengths : like super fast, fast, normal, slow and very slow
We also combine a little bit of price action together with the trend direction both for entry and for exits, to have a more precise control.
The rules for long close is above all EMA's, they are in ascending order and the at same time close is bigger than the previous high, and previous high > second previous high, close > 3rd previous high , close > 4th previous high, close > 5th previous high, 5th high > 6th high.
For short we have the same, but instead of high, we use lows, and instead of > we use < .
As exit we have 2 conditions for long and 2 for short
To exit long we have : super fast ema < fast ema and fast ema < normal and normal < slow ema. For short, they would be the opposite, using > sign.
The second exit for long is when our current low crosses below 4 of ours EMA during the same candle. For short, is when the high crosses above 4 of ours EMA during the same candle.
CAUTIOUS : Currently it uses not risk management system, so in this current condition is extremely risky . Be careful
If you have any questions lets me know
Crypto BOT lower timeframesThis is a crypto bot designed for lower time frames.
Its made of 2 EMA, one fast and one slower . They are combined together with Stochastic, MACD and price action patterns.
For entries we have multiple conditions :
First we check if one of our last 4 closed candles crossed above or below the faster EMA. After that for long, we check that last close is above the fast EMA, that the fast ema is above the slower EMA, at the same time that the histogram from MACD is positive and that we have crossover with the oversold line on stochastic. For the short , the opposite of long.
For exit we have TP/SL mechanic based on price % movement, in this example if the price moved 10% from the initial position it will exit.
CRYPTO Trend Direction Multiple EMA'sToday I bring an indicator specialized in crypto markets.
Its made of multiples EMA : very fast, fast, normal, slow, very slow
The logic behind its simple :
For long : we check that the EMA are in ascending order like EMA 5 > EMA 10 > EMA 20 .... and at the same time that last close of candle is above all of them.
For short : we check that the EMA are in descending order like EMA 5 < EMA 10 < EMA 20 .... and at the same time last close of candle is below all of them.
It can be used with all time frames.
Enjoy it !
Crypto EMA+MA+MACS by hobbeLeThis is an indicator that includes several EMAs and MAs (Used in Cryptotrading).
In addition, the Golden and Death Cross are also displayed.
Used MAs
MA 7 - Orange Line
MA 21 - Yellow Line
MA 25 - Grey Line
MA 99 - Blue Line
MA 200 - Green Line
Used EMAs
EMA 200 - Grey Dotted Line
EMA 222 - Pink Dotted Line
Golden Cross
Crossover MA25 + MA200
Death Cross
Crossunder MA25 + MA200
What is a Moving Average (MA) ?
A moving average (MA) is a widely used indicator in technical analysis that helps smooth out price action by filtering out the “noise” from random short-term price fluctuations.
Moving average is a trend-following, or lagging, indicator because it is based on past prices. The most common applications of moving averages are:
to identify the trend direction
to determine support and resistance levels
The two basic and commonly used moving averages are the simple moving average ( SMA ), which is the arithmetic average of a security over a defined number of time periods, and the exponential moving average ( EMA ), which gives greater weight to more recent prices.
What is a Golden Cross?
The golden cross is a candlestick pattern that is a bullish signal in which a relatively short-term moving average crosses above a long-term moving average. The golden cross is a bullish breakout pattern formed from a crossover involving a security's short-term moving average (such as the 15-day moving average) breaking above its long-term moving average (such as the 50-day moving average) or resistance level. As long-term indicators carry more weight, the golden cross indicates a bull market on the horizon and is reinforced by high trading volumes.
What Is a Death Cross?
The death cross is a technical chart pattern indicating the potential for a major selloff. The death cross appears on a chart when a stock’s short-term moving average crosses below its long-term moving average.
Source; Investopedia
BTC and ETH Long strategy - version 2I wrote my first article in May 2020. See below
BTC and ETH Long strategy - version1
After 6 months, it is now time to check the result of my script for the last 6 months.
XBTUSD (4H): 14/05/2020 --> 22/11/2020 = +78% in 4 trades
ETHXBT (4H): 14/05/2020 --> 22/11/2020 = +21% in 9 trades
ETHUSD (4H): 14/05/2020 --> 22/11/2020 = +90% in 6 trades
Using the signals from this strategy to trade manually has shown that this was a bit frustrating because of the low rate of winning trades.
If you have to enter 100 trades and see 75% of them failing and 25% winning, this is frustrating. For sure the strategy makes good money but it is difficult to hold this mentality.
So, I have reviewed and modified it to get a higher winning rate.
After few days of work, tests and validation, I managed to get a wining rate close to 60%.
The key element was also to decrease the number of trades by using a higher time frame. (4H candles instead of 2H candles).
- Entry in position is based on
MACD, EMA (20), SMA (100), SMA (200) moving up
AND EMA (20) > SMA (100)
AND SMA (100) > SMA (200)
- Exit the position if: Stoploss is reached OR EMA (20) crossUnder SMA (100)
The goal of this new script is to be able to follow the signals manually and only make few trades per years.
I have also validated it against some other altcoins where some are giving very good results.
Here are some results for 2020 (from 01/01/2020 until now (22/11/2020). Those results are the one I get when using 4H candles.
ETH/USD: +144% in 8 trades.
BTC/USD: +120% in 7 trades.
ETH/BTC: +33% in 9 trades.
ICX/USD: +123% in 10 trades.
LINK/USD: +155% in 11 trades.
MLN/USD: +388% in 8 trades.
ADA/USD: +180% in 7 trades.
LINK/BTC: +97% in 10 trades.
The best is that above results are without considering compound effect. If you re-invest all gains done in each new trade, this will give you the below results :)
ETH/USD: +189% in 8 trades.
BTC/USD: +260% in 7 trades.
ETH/BTC: +29% in 9 trades.
ICX/USD: +112% in 10 trades.
LINK/USD: +222% in 11 trades.
MLN/USD: +793% in 8 trades.
ADA/USD: +319% in 7 trades.
LINK/BTC: +103% in 10 trades.
As you can see, the results are good and the number of trades for 11 months is not big, which allows the trader to place orders manually.
But still, I'm lazy :), so, I have also coded this strategy in HaasScript language which allows you to automate this strategy using the HaasOnline software specialized in automated crypto trading.
I hope that this strategy will give you ideas or will be the starting point for your own strategy.
Let me know if you need more details.
Crypto ZigZag RSI strategy 15minThis strategy is designed for crypto markets like ETHUSD/T, BTCUSD/T and so on.
It works amazingly with 15 min time frames.
Its idea consists in :
We have the RSI indicator, and with it we check for the crossover with overbought and oversold levels. At the same time we have the zigzag which is made from the higher highs and the lower lows between a specific price movement in %.
For entries, they are going to be based on the crossover of rsi with overbought or oversold levels , combined together with cross over 0 line from the the zigzag.
At the same time the strategy has the posibility to go only long, only short or both.
Let me know if you have any questions.
Swing/Daytrading strategy with reversal option
Hello, today I bring a swing reversal strategy that work on all financial markets.
It uses timeframes starting from 1h, the bigger the better.
Its very dangerous because it has no stop loss, neither a take profit. Our exit condition is based on the reversal on the entry .
For entry we have 2 types : normal and reversal
Lets say we want to go long , for that we check the last CLOSE of a candle with the previos HIGH. If its higher than that, and at the same time CLOSE is bigger than the moving average, we have a long entry.
For short we have CLOSE with the previous LOW. If its lower than that and at the same time is lower than moving average, we have a short entry.
For moving average we use T3 MA
For reversal what I do, is , I take the short condition and I apply it to long, and for long I apply the short condition.
On many cases I found out it work amazingly.
I forgot to add: it also has a time entry system, so we use the best hours/sessions for entries .
Exit a trade: lets say we enter short, when we find a long condition, we close short and enter into long. Viceversa for long.
If you have any questions, let me know.
Enjoy it :)
Percent Drop from Highest HighBuy and hold investors may decide to use trailing stops to protect profits and capital from market crashes, especially during bull markets.
The purpose of this indicator is to hep investors to identify a location to place them. The indicator plots the highest high from 'x' bars ago. It then plots a trailing stop loss 'y' percent below that line.
The indicator enables its users to input different 'x' and 'y' values to observe what they think works best for them in different markets.
Users might choose to pair the indicator with trend confirming indicators, such as moving average cross overs, to determine that the market is trending and not ranging.
There is no magic in this indicator, only maths. Like every indicator, it has no ability to predict anything. Just because the market is doing one thing now, it might do something different later. The past does not equal the present nor the future. Make your own decisions and be responsible for them.
All the best to you and your family.
Profit Maximizer StrategyFirst I would like to thank to @KivancOzbilgic for developing this indicator.
All the credit goes to him.
I just created a strategy, in order to try to find the perfect parameters, timeframe and currency for it.
I will provide below the same description like he has in the publish of profit maximizer
Profit Maximizer - PMax combines the powerful sides of MOST (Moving Average Trend Changer) and SuperTrend (ATR price detection) in one indicator.
Backtest and optimization results of PMax are far better when compared to its ancestors MOST and SuperTrend. It reduces the number of false signals in sideways and give more reliable trade signals.
PMax is easy to determine the trend and can be used in any type of markets and instruments. It does not repaint.
The first parameter in the PMax indicator set by the three parameters is the period/length of ATR.
The second Parameter is the Multiplier of ATR which would be useful to set the value of distance from the built in Moving Average.
I personally think the most important parameter is the Moving Average Length and type.
PMax will be much sensitive to trend movements if Moving Average Length is smaller. And vice versa, will be less sensitive when it is longer.
As the period increases it will become less sensitive to little trends and price actions.
In this way, your choice of period, will be closely related to which of the sort of trends you are interested in.
We are under the effect of the uptrend in cases where the Moving Average is above PMax;
conversely under the influence of a downward trend, when the Moving Average is below PMax.
Built in Moving Average type defaultly set as EMA but users can choose from 8 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Movin Average
WMA : Weighted Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average aka VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
Tip: In sideways VAR would be a good choice
You can use PMax default alarms and Buy Sell signals like:
1-
BUY when Moving Average crosses above PMax
SELL when Moving Average crosses under PMax
2-
BUY when prices jumps over PMax line.
SELL when prices go under PMax line.
Ultimate VWAP Bands- Ultimate VWAP Bands is a script that helps to decide and further clarify areas of oversold and overbought conditions.
- For example, when the price is in the lowest band it is extremely oversold relative to the VWAP . Hence it should be considered a good place to buy with a high risk to reward payoff.
- Each band is set at a fixed offset away from the VWAP . The "VWAP Band Multiplier" adjusts this and is a key part of the script. This allows the indicator to be adjusted based on the assets volatility . For example, with Crypto. A multiplier of 1 would be strongly advised. Whilst a multiplier of 0.1-0.25 would be useful for currency pairs.
- This indicator can be used for all manners of trading. However, it is most effective when used for scalping and swing trading.
Bitcoin DAA OscillatorAn oscillator of Bitcoin's Daily Active Addresses (DAA) and fundamental metric of the utilization of the Bitcoin network.
Helps to identify:
Potential buy zones (green) - when the network utilization is low & increasing
Potential sell zones (red) - when the network utilization is high & decreasing
Simple and efficient MACD crypto strategy with risk managementToday I am glad to bring you another great creation suited for crypto markets.
MARKET
Its a simple and efficient strategy, designed for crypto markets( btcusd , btcusdt and so on), and suited for for higher time charts : like 1hour, 4hours, 1 day and so on.
Preferably to use 1h time charts.
COMPONENTS
MACD with simple moving average
ENTRY DESCRIPTION
For entries we have :
We check the direction with MACD . Depending if its an uptrend and positive level on histogram of MACD we go long, otherwise we go short.
RISK MANAGEMENT
In this strategy we use a stop loss based on our equity. For this example I choosed a 2% risk .That means if our account has 100.000 eur, it will automatically close the trade if we lose 2.000.
We dont use a take profit level.
In this example also we use a 100.000 capital account, risking 5% on each trade, but since its underleveraged, we only use 5000 of that ammount on every trade. With leveraged it can be achieved better profits and of course at the same time we will encounter bigger losses.
The comission applied is 5$ and a slippage of 5 points aswell added.
For any questions or suggestions regarding the script , please let me know.
Dynamic Dots Dashboard (a Cloud/ZLEMA Composite)The purpose of this indicator is to provide an easy-to-read binary dashboard of where the current price is relative to key dynamic supports and resistances. The concept is simple, if a dynamic s/r is currently acting as a resistance, the indicator plots a dot above the histogram in the red box. If a dynamic s/r is acting as support, a dot is plotted in the green box below.
There are some additional features, but the dot graphs are king.
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KEY:
_______________________________________________________________________________________________________________
Currently the dynamic s/r's being used in the dot plots are:
Ichimoku Cloud:
Tenkan (blue)
Kijun (pink)
Senkou A (red)
Senkou B (green)
ZLEMA (Zero Lag Exponential Moving Average)
99 ZLEMA (lavender)
200 ZLEMA (salmon)
You'll see a dashed line through the middle of the resistances section (red) and supports section (green). Cloud indicators are plotted above the dashed line, and ZLEMA's are below.
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How it Works - Visual
_______________________________________________________________________________________________________________
As stated in the intro - if a dynamic s/r is currently above the current price and acting as a resistance, the indicator plots a dot above the histogram in the red box. If a dynamic s/r is acting as support, a dot is plotted in the green box below. Additionally, there is an optional histogram (default is on) that will further visualize this relationship. The histogram is a simple summation of the resistances above and the supports below.
Here's a visual to assist with what that means. This chart includes all of those dynamic s/r's in the dynamic dot dashboard (the on-chart parts are individually added, not part of this tool).
You can see that as a dynamic support is lost, the corresponding dot is moved from the supports section at the bottom (green), to the resistances section at the top (red). The opposite being true as resistances are being overtaken (broken resistances are moved to the support section (red)). You can see that the raw chart is just... a mess. Which kinda of accentuates one of the key goals of this indicator: to get all that dynamic support info without a mess of a chart like that.
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How To Use It
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There are a lot of ways to use this information, but the most notable of which is to detect shifts in the market cycle.
For this example, take a look at the dynamic s/r dots in the resistances category (red background). You can see clearly that there are distinctive blocks of high density dots that have clear beginnings and ends. When we transition from a high density of dots to none in resistances, that means we are flipping them as support and entering a bull cycle. On the other hand, when we go from low density of dots as resistances to high density, we're pivoting to a bear cycle. Easy as that, you can quickly detect when market cycles are beginning or ending.
Alternatively, you can add your preferred linear SR's, fibs, etc. to the chart and quickly glance at the dashboard to gauge how dynamic SR's may be contributing to the risk of your trade.
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Who It's For
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New traders: by looking at dot density alone, you can use Dot Dynamics to spot transitionary phases in market cycles.
Experienced traders: keep your charts clean and the information easy to digest.
Developers: I created this originally as a starting point for more complex algos I'm working on. One algo is reading this dot dashboard and taking a position size relative to the s/r's above and below. Another cloud algo is using the results as inputs to spot good setups.
Colored Bars
There is an option (off by default, shown in the headline image above) to fill the bar colors based on how many dynamic s/r's are above or below the current price. This can make things easier for some users, confusing for others. I defaulted them to off as I don't want colors to confuse the primary value proposition of the indicators, which is the dot heat map. You can turn on colored bars in the settings.
One thing to note with the colored bars: they plot the color purely by the dot densities. Random spikes in the gradient colors (i.e. red to lime or green) can be a useful thing to notice, as they commonly occur at places where the price is bouncing between dynamic s/r's and can indicate a paradigm shift in the market cycle.
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Timeframes and Assets
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This can be used effectively on all assets (stocks, crypto, forex, etc) and all time frames. As always with any indicator, the higher TF's are generally respected more than lower TF's.
Thanks for checking it out! I've been trading crypto for years and am just now beginning to publish my ideas, secret-sauce scripts and handy tools (like this one). If you enjoyed this indicator and would like to see more, a like and a follow is greatly appreciated 😁.
Long/Short Margin Ratio for cryptocurrenciesBTCUSDSHORTS and BTCUSDLONGS are like datasets provided by Bitfinex exchange. They record the number of margined for longs and shorts and they are measured in BTC (in case using BTCUSD ).
Margin is Like any loan, the borrower may pay interest while the loan is outstanding, and must eventually pay the loan back.
Red Area: More short margin than long margin.
Green Area: More long margin than short margin.
Note: Can only be used with cryptocurrencies that have such dataset within Bitfinex exchange like BTCUSD , ETHUSD , XRPUSD and a few more.
Super Guppy StrategyCM Super Guppy with Long/Short signals, backtesting, and additional options. Updated for PineScript v4.
COINBASE:BTCUSD
Features 2 primary modes, depending on your risk profile. These options are available in the settings:
"Early Signals" ON (default):
Prints a "long" on grey to green transitions AND red to gray transitions.
Prints a "short" on green to grey transitions AND gray to red transitions.
Will not print back-to-back repeated positions (i.e. green → grey → red will only print the first green → gray "short" signal and not print "short" twice).
Rotates long and short positions with no delay.
"Early Signals" OFF
Will close trades, but never open new ones, when guppy transitions to from any color to gray.
Open long: guppy transitions gray to green.
Close long: guppy transitions green to gray.
Open short: guppy transitions gray to red.
Close short: guppy transitions red to gray.
Does not rotate long and short positions back to back.
Additionally:
Can toggle on/off the 200EMA. Default is off.
Can toggle on/off short positions. Default is on.
In development: alerts
