Best Crypto DEMA Strategy Long onlyThis is a crypto strategy suited for big time frames like 3h+.
THIS IS A LONG ONLY STRATEGY , SUITED TO BEAT BUY AND HOLD !
It's a very risky strategy because it has no stop loss at all, so be extremely careful with it.
This strategy is made of 2 DEMA a fast and a slow one.
We have two rules : entry it's when we have a crossunder between the slow DEMA and the fast DEMA. We exit when the opposite happens, in this case, when the slow is above fast.
For this example I used an initial capital of 1000 eur, using 100% of it always, and a commission of 0.2% per each deal.
Cripto
MACD Crossover with signalsMACD Crossover with signals - a simple trading indicator based on classic MACD.
It shows crossovers and plots them on chart as "Long" or "Short".
The MACD itself is not plotted in order to keep your charts cleaner.
By default, all the crossovers are displayed on the chart.
However, you can use only trend-based ones. They are filtered according to the trend (which is plotted and colored using 200 period EMA) and the "zero-line rule" of the MACD.
So if you consider using only trend-based signals, the indicator will only show Long signals on an uptrend and Short signals on a downtrend.
All signals/lines can be turned on/off and styled in the settings menu.
It can be used with all major timeframes and assets (crypto, fx, cfd, stocks, commodities etc).
Consider using it with respect to your trading style, money- and risk-management as well as other strategies and indicators.
If it was useful for you – hit the Like button and share it with your friends - it's free 😉
GreenCrypto Swing Trade Indicator - GC02Overview: This is a swing trading Indictor works using support & resistance and market trend, it is designed for all type of markets (crypto, forex, stock etc.) and works on all commonly used timeframes (preferably on 1H, 4H Candles).
How it works:
Core logic behind this indicator is to finding the Support and Resistance, we find the Lower High (LH) and Higher Low (HL) to find the from where the price reversed(bounced back) and also we use a custom logic for figuring out the peak price in the last few candles (based on the input "Strength" ). Based on the multiple previous Support and Resistance (HH, HL, LL LH) we calculate a price level, this price level is used a major a factor for entering the trade. Once we have the price level we check if the current price crosses that price level, if it crossed then we consider that as a long/short entry (based on whether it crosses resistance or support line that we calculated). Once we have pre long/short signals we further filter it based on the market trend to prevent too early/late signals, this trend is calculated based on the value from the input field "Factor". Along with this if we don't see a clear trend we do the filtering by checking how many support or resistance level the price has bounced off.
Stop Loss and Take Profit : We have also added printing SL and TP levels on the chart to make the it easier for everyone to find the SL/TP values. Script calculates the SL value by checking the previous support level for LONG trade and previous resistance level for SHORT trades. Take profit are calculated in 1:1 ratio as of now.
Available Inputs:
Strength : Define the strength of the support resistance that we calculate. The lower value means less number of candles used for calculating the support & resistance and vice versa
Factor : Specify what level of trend to use. Using higher value will result script looking using the larger trend (zoomed out trend) and using lesser value will result in using the short trends
Note: For most of the charts you don’t need to change the default values. However, feel free to try it out.
How to use:
Add the script to the chart and once the indicator is load it will display the "long" and "short" entry points along with the stopLoss and takeProfit points.
How to get access:
Send a DM to us for getting access to the script.
Companion::DivergentCompanion::Divergent is a combined indicators strategy optimized for Bitcoin Markets and tested on Bitfinex.
Mainly, it is an Ichimoku based strategy.
Used indicators:
- Ichimoku (displayed on chart): trendline analysis;
- Double Hull MA (displayed on chart): trendline analysis;
- MACD (not displayed): confirmative/momentum detection;
- CCI (not displayed): confirmative/momentum detection;
- ATR: used toghether with Ichimoku to determine Stop Loss/Take Profit levels;
- VWMA: For implementing trailing stop orders based on volumes.
What the script does:
- determines trendlines combining mulitple indicators;
- automaticlally calculates Take profit and Stop Loss levels;
- permits automation generating Autoview signals;
- supports for margin trading. Spot trading will be added in the future.
It can be used on 1D or 1H timeframes but it can be adapted for other time frames tweaking the parameters. I used it a lot on Bitfinex on 1H timeframes. Please check parameters: if you will use the strategy on D or higher timeframes, the "Legacy Chikou analysis" option should be checked.
BACKTESTING
Backtest is not leveraged. Defaults are set as follow:
Capital: 10000
Percent of equity used for trades: 10%
Commission: 0.18% this is Bitfinex commission on orders
Change them accordingly on how you trade to get a more realistic backtest results.
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.
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.
Momentum Strategy for cryptos (V7.B.4)Here's a strategy for low time frames (30min suggested) for BTC, based on momentum Analysis using Stochastic RSI
By default the strategy will use the 50% of the specified capital for each trade; if "Gamble Sizing" is enabled, it will add the specified amount of capital (25% by default, until reaching the 100% limit or lower) for the next trade after having detected a loss in the previous trade; if the next trade is successful, the size for the next trade comes back to 50%
• Trend Filter LONG: If the fast exponential moving average is UNDER the slow exponential moving average, it won't open LONG positions
• Trend Filter SHORT: If the fast exponential moving average is ABOVE the slow exponential moving average, it won't open SHORT positions
• Bars delay: the strategy will wait the specified amount of bars before closing the current position; the counter is triggered as soon as the closing trade condition is verified
BY MAKING USE OF THIS STRATEGY, YOU ACKNOWLEDGE AND AGREE THAT: (1) YOU ARE AWARE OF THE RISKS ASSOCIATED WITH TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; (2) YOU SHALL ASSUME ALL RISKS RELATED TO THE USE OF THIS STRATEGY AND TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; AND (3) I SHALL NOT BE LIABLE FOR ANY SUCH RISKS OR ADVERSE OUTCOMES.
alGROWithm PremiumIntroducing the alGROWithm indicator!
Years of trading experience and endless hours of screen time has undeniably proven to me that the most fundamental rule of any market is: price moves from supply to supply and demand to demand. Specifically, this means that a breakout of a supply zone , the probability of it reaching the next supply zone before starting consolidate is very high. Similarly, a breakdown from previous demand zone will likely continue to the next demand zone . The identification method of these supply and demand channels is one of the features that sets this indicator apart from other available tools.
What separates alGROWithm from other available tools?
- Proprietary method for identifying supply & demand channels combined with a directional bias computation based on recent historical prices
- Only signaling precise entries based on supply & demand that maximize R/R
- Tracking open positions and displaying a trading plan directly on the chart immediately after signaling entry points
- Indicating precise exit levels to help you avoid exiting too early or trading by emotion
What are the features included in alGROWithm?
Trading Plan Lines : These are the Buy/Short/Take Profit/Exit lines plotted directly on the chart
Show Long Signals : These are the green "BUY" labels that appear on the chart when alGROWithm identifies a critical breakout to the next supply level
Show Short Signals : These are the red "SHORT" labels that appear on the chart when alGROWithm identifies a critical breakdown to the next demand level
Show Take Profit Signals : These are the purple "TP" labels that appear on the chart when alGROWithm identifies that the subsequent supply/ demand level has been hit
Show Exit/Stop Loss Signals : These are the purple "EXIT" labels that appear on the chart when alGROWithm identifies that the trade has run its course and it's time to exit
Show Dashboard : This is a dashboard that is displayed to the right of the latest candle, and contains the following information:
- Current Position : "Long", "Short", or "None"
- Next Profit Target : Only displays if there is an active Position
- Current Bias : alGROWithm computes a directional bias based on recent historical prices. Text will say "Long" or "Short"
- Long/Short Bias Until : alGROWithm's bias will change if this price is hit. Note that these are not BUY or SELL levels - this simply indicates whether things are looking up or down
- Enter Short/Long At : Only displays if Current Position = "None"
Note that you can enable/disable any of these chart overlays at anytime through the indicator settings.
The alGROWithm indicator works on any timeframe, any market, and standard OR Heikin Ashi candlesticks .
I have been working very hard on this indicator and I personally use it on a daily basis with options trading. I am so excited to share the wealth with you!
You can use the link below to visit our website and gain access to the script.
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
PpSignal Haiken Ashihere is the development of ppsignal Heiken Ashi with a formula of ours.
It also has a Smooth move average.
When HA this green is buying, when red is selling... simple entry system for scalping.
Enjoy it
[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:
-----------------------------------------------------------------------------------
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:
-----------------------------------------------------------------------------------
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:
-----------------------------------------------------------------------------------
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.
Quansium Series A BacktestThis comes with preconfigured setups or strategies. Simply choose one from our list based on the timeframe it was made for. Leverage can be changed; to keep trading safe, a maximum of 2 is allowed. In our findings, this was able to trade crypto (specifically BTC ), MES (Micro E-mini S&P 500 Index Futures ), and stocks. It is important to know that setups A, B, C, and D use variable position sizing, and dynamic stop loss/trailing stop/take profit, these parameters are provided through the alerts. The rest of the strategies were created with a simpler approach in mind, just plainly entry/exits signals.
Quansium as a framework:
Price reformat: we take the price source (Open, Close, High, Low) and remove any noise that affects the accuracy of our signals.
Time awareness: we take several time periods of the data on the chart such as start, end, and whole. We use this to add more depth to our signals.
Position size: our backtest tries to recreate as much as the real world trades as possible so our position is determined by the current equity. We also use the volatility of the market to increase or decrease our exposure or risk.
Risk awareness: stop loss, take profit, trailing stop are the risk exits we use to provide our users some peace of mind. These parameters are totally dynamic and follow the same behavior of the market.
Signals filtering: to make almost non-existent any errors and increase the quality of our trades, our indicators go through multiple phases, this avoid double entries or early exits, and help maintain a record of what has transpired and what’s currently taking place.
Indicators: whenever we can we use custom code or our own functions instead of the defaults ones provided. This gives us total control of what we’re trying to achieve. In many cases we tend to combine several indicators’ logic into one creating a more personalized take on it.
Easiness: since we started our main goal has been to provide the easiest and fastest way to alerts’ creation. It has taken us years to reach this level where now we already provide a list of preset strategies so the user doesn’t have to spend much time tinkering with scripts and more on other matters, because we know life is more than just trading.
Raw signals: we provide the option to turn off as much of our advanced features such as stop loss, take profit, trailing stop, dynamic sizing, etc, etc for a simple approach. Trade signals still go through the signals filtering method mentioned above,
Timeframe pairing: we take trading very seriously, by no way we’ll want the user to lose money (although such thing is expected because past results aren’t an indicative of futures ones), through years of experience we have found what are usually common mistakes the user makes, this feature allows us to only activate the strategy if the right timeframe is chosen.
Trend filters: through the years we have improved the arts of the trend. We like to keep things simple but yet powerful. We observe the macro and micro trend of the security. This helps confirm we are entering at the desirable timing. We also incorporate volume and volatility into decision making, we simply programmed it to trade when these are increasing and higher than the average values observed in both the short and long term. Finally we take into account the strength of the pair to make our final choice of whether to enter or wait, and if anything flashes contrary movement then we cancel the upcoming signal and stop monitoring until the next one comes along.
Full automated risk: stop loss, take profit, and trailing stops usually are set in percentages, and optimized even more using the current market behavior to become more adaptive. But always remains some sort of fixation, so the user must choose a value somewhere. This is where our framework shines the most, as previously mentioned before when we take time into our calculations, we use several periods to observe performance and get values that keep our risk exits natural and closest to the flow of the market itself.
Setups:
A: Centered oscillator with the difference of several moving averages with more sensitive settings. Momentum focused.
B: Centered oscillator using simple moving averages. Trend-Following focused.
C: Centered oscillator using smoothed data with the help of faster moving averages. Trend-Following focused.
D: Centered oscillator with the difference of several moving averages with less sensitive settings. Trend-Following focused.
E: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses less sensitive settings. Trend-Following focused.
F: Finds the relationship between multiple readings of the price’s relative strength to better pin-point downs and ups. Trend-Following focused.
G: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses more sensitive settings. Momentum focused.
H: Multiple centered oscillators using various moving averages. Trend-Following focused.
I: Centered oscillator using simple moving averages. Momentum focused.
Note: The framework is composed of almost 1000 lines of code as compared to each indicator that makes up the setup which is around 10. The power from Quansium doesn't come from the strategies themselves but rather the overall system that turns simple signals into complex and advanced trades.
Strategy Tester:
Initial Capital: chosen value is $20,000, as an approximate to Bitcoin’s ATH (All-Time High). In previous iterations we noticed some trades won’t go through if the capital was less than the ATH.
Order Size: 100% of equity (although the script controls this, and this is of no regards to the results).
Pyramiding: 1, system doesn’t place multiple entries in a row, only one at a time.
Commission: This simulates order execution with custom trading fees. Commissions are turned off by default because this script works in various markets and each operates differently. In order to reach results that are close to real world conditions, it is imperative the user fills this based upon their broker or exchange data.
When we started, we were focused on finding the best indicator, or creating it ourselves. After years we came to realize that the secret is not in which indicator you use but the framework behind it. All strategies have bad, good, best, worst performance periods. The key of a good system is to help keep you safe when it’s down and maximize your potential when it’s up. We hope this material at the very minimum inspires you to keep going and not lose faith, because it is not the smartest who win but those who persevere.
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
PpSIgnal Algorithm Trade System SUSHI Algorithm-based solely for trading SUSHI USDT.
Initial capital 50 USD, you buy the maximum of the capital since it represents little money at the beginning, you can risk less capital in percentage, for example, 10% of the 50 USD.
Commission 0.0045% per contract, we use the commission of one of the best-known brokers.
You can adjust the slippage you consider.
Date of time strategy
You can choose the start day and the end day of the backtesting test.
Money management
Take profit to buy 0.5%
Stop Lose sell 1%
Take Profit 1%
Stop Loss 1%
How it works?
The system works by looking for trends and volatility in a 15-minute time frame.
Once the system finds the trend and volatility, it opens an operation looking for a profit at the buy of 0.5% and loss control of 1%.
For Sell operations, it will seek a 1% profit with a 1% loss control.
You can find the profit you want
PpSignal Momentum TraderThis is a combination of the PERCENTAGE of PRICE OSCILLATOR (PPO) and Momentum.
When both oscillators are up in the same direction it is buying (green bottom and green oscillators), when both oscillators are down it is sell (red bottom and red oscillators. When they do not agree (silver bottom) it is to keep doing nothing .
You can also see the change in trend with the candles as well. same colors as the background and the oscillators.
pSignal CFB and Slope Trend Folow This indicator shows the trend of an asset (nifty, crypto, forex, stock, etc., taking as a starting point the volatility and direction of the market.
When the moving average slope crosses up CFB (see CFB explanation below) it is BUY.
When the Moving Average Slope crosses CFB down it is sell.
The system also has a support and resistance (daily, weekly, or mouth) identifier.
The alarm of resistance or support signal: When price close and volume break daily support or resistance the general system is a visual signal.
Bull Wick= the high price broke the resistance.
Bear wick = the low price broke the support.
Break Out color blue color = the close price and the volume broke the resistance.
Break Out color maroon color = the close price and the volume broke the support.
The system also has the Bollinger bands that show us the volatility of the market and when it is up or down. Read more about the use of the Bollinger band
CFB
his indicator was designed to filter out lower price actions for a clearer view of trends. Inspired by QQE's volatility filter, this filter applies the process directly to price rather than a smoothed RSI . Range Filter and bands are now calculated in a singular function. There are now two different calculation methods for the filter. Select the type you want to use through the "Filter type" entry. Type 1 is the original formula. Multiple range size methods are now available.
You can choose between the following scales:
- Points
- Pips (Works best with currency pairs, obviously)
- Ticks -% of the price - ATR - Average change (default. This is the original sizing method). - Standard Deviation
- Absolute (absolute numerical value)
- Smoothing with the range elder is now optional, and you can specify its smoothing length.
Smoothing only affects dynamic scales (ATR, average change, and standard deviation).
- Filter movement can now be determined using highlights or closing price. This can be specified through the input.
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 !
Profits Unlimited Pro Strategy** This is the backtesting (strategy) version of ~ Profits Unlimited Pro ~ proprietary script in TradingView. **
~ Profits Unlimited Pro Strategy ~
֎ Trading system script on tradingview that brings an easy approach to trading with a high profitability rate
֎ Our proprietary formula was developed over the course of the past two years through a combination of trial and error and algorithmic backtesting.
-- HOW IT WORKS --
֎ The algorithm starts with a proprietary script combining custom inputs with a formula that works with custom bollinger bands settings and specific RSI levels to results in deadly accurate signals for long and short entry points.
but that's not all...
֎ When we first developed our formula, we noticed that it produced a lot of accurate signals but also didn't fully understand the dynamics of market momentum and trending directions...
...so there were a lot of needless calls being made that were reducing profitability.
You see, most markets spend roughly 80% of the time trading sideways with no significant trend either up or down...
...And trading these sideways markets commonly result in what's called a "whipsaw"...
A whipsaw is when price is moving in one direction but then quickly pivots to move in the opposite direction resulting in a loss. And nobody wants to be stuck trading in a sideways market getting killed by whipsaws all day...
So what did we do to fix this?...
-- THE WINNING FORMULA --
֎ We added the Average Directional Index into our custom formula with a goal of teaching the algorithm to only trade during periods of strong momentum and trends whether up or down.
֎ We also added trend exhaustion levels to give clear indication for exit signals and help determine best times of getting out of a trade.
֎ Trend Exhaustion Levels work in conjunction with trailing stop loss % and both are customizable for ideal exits and profitability.
֎ The results are mind blowing!
-- WHO IT'S FOR --
֎ Optimized for crypto markets, to catch trend movements as soon as possible and maximize profitability
֎ It's A Swing Traders Dream.
-- What You Get --
֎ Sell & Buy alerts, Stop Loss alerts and always adding new features!
֎ Customizable settings.
֎ Chrome Extension in development for fine-tuning settings automatically(COMING SOON)
-You will be able to select an asset. push a button. and the extension will find the best settings for you!
֎ Users Facebook community for learning, sharing and direct support
If you’d like to test the trading script in TradingView, I can give you access to a 10 days trial.
Please send me PM in tradingview and I’ll activate it right away.
Thank you!
Ichimoku Cloud ForecastUsing doubled crypto settings, forecast Tenkan and Kijun lines, assuming price remains neutral (constant).
Tenkan - 14 periods
Kijun - 20 periods
