Average Highest High and Lowest Low Swinger StrategyThis is a full price action strategy designed for trending markets such as crypto and stocks.
Its purely made on calculations for the highest high and lowest low using 2 different length , a faster and a slower one.
With those we make multiple averages.
Rules for entry:
For long: our close of the candle is above both the average using fast and slow line
For short: our close of the candle is below both the average using fast and slow line
Rules for exit
We always exit when we have an opposite order
Caution
This strategy use no risk management system, so be careful with it
If you have any questions, let me know
Kripto
ICHIMOKU Crypto Swing StrategyThis is a crypto swing strategy designed for timeframes bigger than 1h.
The main components are
ICHOMOKU
KDJ
Average High
Average Low
Rules for entry
For long: we have the ichimoku crosses between tenkan and baselines, we have a rising kdj line and at the same time we have a increase in the average high
For short: we have the ichimoku crosses between tenkan and baselines, we have a falling kdj line and at the same time we have an increase in the average low
Rules for exit
We exit when we have inverse conditions than the initial ones used for entry.
Caution
This strategy does not use a risk management, so be careful with it !
If you have any questions let me know !
Webhook Starter Kit [HullBuster]
Introduction
This is an open source strategy which provides a framework for webhook enabled projects. It is designed to work out-of-the-box on any instrument triggering on an intraday bar interval. This is a full featured script with an emphasis on actual trading at a brokerage through the TradingView alert mechanism and without requiring browser plugins.
The source code is written in a self documenting style with clearly defined sections. The sections “communicate” with each other through state variables making it easy for the strategy to evolve and improve. This is an excellent place for Pine Language beginners to start their strategy building journey. The script exhibits many Pine Language features which will certainly ad power to your script building abilities.
This script employs a basic trend follow strategy utilizing a forward pyramiding technique. Trend detection is implemented through the use of two higher time frame series. The market entry setup is a Simple Moving Average crossover. Positions exit by passing through conditional take profit logic. The script creates ten indicators including a Zscore oscillator to measure support and resistance levels. The indicator parameters are exposed through 47 strategy inputs segregated into seven sections. All of the inputs are equipped with detailed tool tips to help you get started.
To improve the transition from simulation to execution, strategy.entry and strategy.exit calls show enhanced message text with embedded keywords that are combined with the TradingView placeholders at alert time. Thereby, enabling a single JSON message to generate multiple execution events. This is genius stuff from the Pine Language development team. Really excellent work!
This document provides a sample alert message that can be applied to this script with relatively little modification. Without altering the code, the strategy inputs can alter the behavior to generate thousands of orders or simply a few dozen. It can be applied to crypto, stocks or forex instruments. A good way to look at this script is as a webhook lab that can aid in the development of your own endpoint processor, impress your co-workers and have hours of fun.
By no means is a webhook required or even necessary to benefit from this script. The setups, exits, trend detection, pyramids and DCA algorithms can be easily replaced with more sophisticated versions. The modular design of the script logic allows you to incrementally learn and advance this script into a functional trading system that you can be proud of.
Design
This is a trend following strategy that enters long above the trend line and short below. There are five trend lines that are visible by default but can be turned off in Section 7. Identified, in frequency order, as follows:
1. - EMA in the chart time frame. Intended to track price pressure. Configured in Section 3.
2. - ALMA in the higher time frame specified in Section 2 Signal Line Period.
3. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period.
4. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period.
5. - DEMA in the higher time frame specified in Section 2 Trend Line Period.
The Blue, Green and Orange lines are signal lines are on the same time frame. The time frame selected should be at least five times greater than the chart time frame. The Purple line represents the trend line for which prices above the line suggest a rising market and prices below a falling market. The time frame selected for the trend should be at least five times greater than the signal lines.
Three oscillators are created as follows:
1. Stochastic - In the chart time frame. Used to enter forward pyramids.
2. Stochastic - In the Trend period. Used to detect exit conditions.
3. Zscore - In the Signal period. Used to detect exit conditions.
The Stochastics are configured identically other than the time frame. The period is set in Section 2.
Two Simple Moving Averages provide the trade entry conditions in the form of a crossover. Crossing up is a long entry and down is a short. This is in fact the same setup you get when you select a basic strategy from the Pine editor. The crossovers are configured in Section 3. You can see where the crosses are occurring by enabling Show Entry Regions in Section 7.
The script has the capacity for pyramids and DCA. Forward pyramids are enabled by setting the Pyramid properties tab with a non zero value. In this case add on trades will enter the market on dips above the position open price. This process will continue until the trade exits. Downward pyramids are available in Crypto and Range mode only. In this case add on trades are placed below the entry price in the drawdown space until the stop is hit. To enable downward pyramids set the Pyramid Minimum Span In Section 1 to a non zero value.
This implementation of Dollar Cost Averaging (DCA) triggers off consecutive losses. Each loss in a run increments a sequence number. The position size is increased as a multiple of this sequence. When the position eventually closes at a profit the sequence is reset. DCA is enabled by setting the Maximum DCA Increments In Section 1 to a non zero value.
It should be noted that the pyramid and DCA features are implemented using a rudimentary design and as such do not perform with the precision of my invite only scripts. They are intended as a feature to stress test your webhook endpoint. As is, you will need to buttress the logic for it to be part of an automated trading system. It is for this reason that I did not apply a Martingale algorithm to this pyramid implementation. But, hey, it’s an open source script so there is plenty of room for learning and your own experimentation.
How does it work
The overall behavior of the script is governed by the Trading Mode selection in Section 1. It is the very first input so you should think about what behavior you intend for this strategy at the onset of the configuration. As previously discussed, this script is designed to be a trend follower. The trend being defined as where the purple line is predominately heading. In BiDir mode, SMA crossovers above the purple line will open long positions and crosses below the line will open short. If pyramiding is enabled add on trades will accumulate on dips above the entry price. The value applied to the Minimum Profit input in Section 1 establishes the threshold for a profitable exit. This is not a hard number exit. The conditional exit logic must be satisfied in order to permit the trade to close. This is where the effort put into the indicator calibration is realized. There are four ways the trade can exit at a profit:
1. Natural exit. When the blue line crosses the green line the trade will close. For a long position the blue line must cross under the green line (downward). For a short the blue must cross over the green (upward).
2. Alma / Linear Regression event. The distance the blue line is from the green and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 6 and relies on the period and length set in Section 2. A long position will exit on an upward thrust which exceeds the activation threshold. A short will exit on a downward thrust.
3. Exponential event. The distance the yellow line is from the blue and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 3 and relies on the period and length set in the same section.
4. Stochastic event. The purple line stochastic is used to measure overbought and over sold levels with regard to position exits. Signal line positions combined with a reading over 80 signals a long profit exit. Similarly, readings below 20 signal a short profit exit.
Another, optional, way to exit a position is by Bale Out. You can enable this feature in Section 1. This is a handy way to reduce the risk when carrying a large pyramid stack. Instead of waiting for the entire position to recover we exit early (bale out) as soon as the profit value has doubled.
There are lots of ways to implement a bale out but the method I used here provides a succinct example. Feel free to improve on it if you like. To see where the Bale Outs occur, enable Show Bale Outs in Section 7. Red labels are rendered below each exit point on the chart.
There are seven selectable Trading Modes available from the drop down in Section 1:
1. Long - Uses the strategy.risk.allow_entry_in to execute long only trades. You will still see shorts on the chart.
2. Short - Uses the strategy.risk.allow_entry_in to execute short only trades. You will still see long trades on the chart.
3. BiDir - This mode is for margin trading with a stop. If a long position was initiated above the trend line and the price has now fallen below the trend, the position will be reversed after the stop is hit. Forward pyramiding is available in this mode if you set the Pyramiding value in the Properties tab. DCA can also be activated.
4. Flip Flop - This is a bidirectional trading mode that automatically reverses on a trend line crossover. This is distinctively different from BiDir since you will get a reversal even without a stop which is advantageous in non-margin trading.
5. Crypto - This mode is for crypto trading where you are buying the coins outright. In this case you likely want to accumulate coins on a crash. Especially, when all the news outlets are talking about the end of Bitcoin and you see nice deep valleys on the chart. Certainly, under these conditions, the market will be well below the purple line. No margin so you can’t go short. Downward pyramids are enabled for Crypto mode when two conditions are met. First the Pyramiding value in the Properties tab must be non zero. Second the Pyramid Minimum Span in Section 1 must be non zero.
6. Range - This is a counter trend trading mode. Longs are entered below the purple trend line and shorts above. Useful when you want to test your webhook in a market where the trend line is bisecting the signal line series. Remember that this strategy is a trend follower. It’s going to get chopped out in a range bound market. By turning on the Range mode you will at least see profitable trades while stuck in the range. However, when the market eventually picks a direction, this mode will sustain losses. This range trading mode is a rudimentary implementation that will need a lot of improvement if you want to create a reliable switch hitter (trend/range combo).
7. No Trade. Useful when setting up the trend lines and the entry and exit is not important.
Once in the trade, long or short, the script tests the exit condition on every bar. If not a profitable exit then it checks if a pyramid is required. As mentioned earlier, the entry setups are quite primitive. Although they can easily be replaced by more sophisticated algorithms, what I really wanted to show is the diminished role of the position entry in the overall life of the trade. Professional traders spend much more time on the management of the trade beyond the market entry. While your trade entry is important, you can get in almost anywhere and still land a profitable exit.
If DCA is enabled, the size of the position will increase in response to consecutive losses. The number of times the position can increase is limited by the number set in Maximum DCA Increments of Section 1. Once the position breaks the losing streak the trade size will return the default quantity set in the Properties tab. It should be noted that the Initial Capital amount set in the Properties tab does not affect the simulation in the same way as a real account. In reality, running out of money will certainly halt trading. In fact, your account would be frozen long before the last penny was committed to a trade. On the other hand, TradingView will keep running the simulation until the current bar even if your funds have been technically depleted.
Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that the endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to.
Webhook Integration
The TradingView alerts dialog provides a way to connect your script to an external system which could actually execute your trade. This is a fantastic feature that enables you to separate the data feed and technical analysis from the execution and reporting systems. Using this feature it is possible to create a fully automated trading system entirely on the cloud. Of course, there is some work to get it all going in a reliable fashion. Being a strategy type script place holders such as {{strategy.position_size}} can be embedded in the alert message text. There are more than 10 variables which can write internal script values into the message for delivery to the specified endpoint.
Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that my endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to.
Here is an excerpt of the fields I use in my webhook signal:
"broker_id": "kraken",
"account_id": "XXX XXXX XXXX XXXX",
"symbol_id": "XMRUSD",
"action": "{{strategy.order.action}}",
"strategy": "{{strategy.order.id}}",
"lots": "{{strategy.order.contracts}}",
"price": "{{strategy.order.price}}",
"comment": "{{strategy.order.alert_message}}",
"timestamp": "{{time}}"
Though TradingView does a great job in dispatching your alert this feature does come with a few idiosyncrasies. Namely, a single transaction call in your script may cause multiple transmissions to the endpoint. If you are using placeholders each message describes part of the transaction sequence. A good example is closing a pyramid stack. Although the script makes a single strategy.close() call, the endpoint actually receives a close message for each pyramid trade. The broker, on the other hand, only requires a single close. The incongruity of this situation is exacerbated by the possibility of messages being received out of sequence. Depending on the type of order designated in the message, a close or a reversal. This could have a disastrous effect on your live account. This broker simulator has no idea what is actually going on at your real account. Its just doing the job of running the simulation and sending out the computed results. If your TradingView simulation falls out of alignment with the actual trading account lots of really bad things could happen. Like your script thinks your are currently long but the account is actually short. Reversals from this point forward will always be wrong with no one the wiser. Human intervention will be required to restore congruence. But how does anyone find out this is occurring? In closed systems engineering this is known as entropy. In practice your webhook logic should be robust enough to detect these conditions. Be generous with the placeholder usage and give the webhook code plenty of information to compare states. Both issuer and receiver. Don’t blindly commit incoming signals without verifying system integrity.
Setup
The following steps provide a very brief set of instructions that will get you started on your first configuration. After you’ve gone through the process a couple of times, you won’t need these anymore. It’s really a simple script after all. I have several example configurations that I used to create the performance charts shown. I can share them with you if you like. Of course, if you’ve modified the code then these steps are probably obsolete.
There are 47 inputs divided into seven sections. For the most part, the configuration process is designed to flow from top to bottom. Handy, tool tips are available on every field to help get you through the initial setup.
Step 1. Input the Base Currency and Order Size in the Properties tab. Set the Pyramiding value to zero.
Step 2. Select the Trading Mode you intend to test with from the drop down in Section 1. I usually select No Trade until I’ve setup all of the trend lines, profit and stop levels.
Step 3. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Remember that the profit is taken as a conditional exit not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached.
Step 4. Apply the appropriate value to the Tick Scalar field in Section 1. This value is used to remove the pipette from the price. You can enable the Summary Report in Section 7 to see the TradingView minimum tick size of the current chart.
Step 5. Apply the appropriate Price Normalizer value in Section 1. This value is used to normalize the instrument price for differential calculations. Basically, we want to increase the magnitude to significant digits to make the numbers more meaningful in comparisons. Though I have used many normalization techniques, I have always found this method to provide a simple and lightweight solution for less demanding applications. Most of the time the default value will be sufficient. The Tick Scalar and Price Normalizer value work together within a single calculation so changing either will affect all delta result values.
Step 6. Turn on the trend line plots in Section 7. Then configure Section 2. Try to get the plots to show you what’s really happening not what you want to happen. The most important is the purple trend line. Select an interval and length that seem to identify where prices tend to go during non-consolidation periods. Remember that a natural exit is when the blue crosses the green line.
Step 7. Enable Show Event Regions in Section 7. Then adjust Section 6. Blue background fills are spikes and red fills are plunging prices. These measurements should be hard to come by so you should see relatively few fills on the chart if you’ve set this up as intended. Section 6 includes the Zscore oscillator the state of which combines with the signal lines to detect statistically significant price movement. The Zscore is a zero based calculation with positive and negative magnitude readings. You want to input a reasonably large number slightly below the maximum amplitude seen on the chart. Both rise and fall inputs are entered as a positive real number. You can easily use my code to create a separate indicator if you want to see it in action. The default value is sufficient for most configurations.
Step 8. Turn off Show Event Regions and enable Show Entry Regions in Section 7. Then adjust Section 3. This section contains two parts. The entry setup crossovers and EMA events. Adjust the crossovers first. That is the Fast Cross Length and Slow Cross Length. The frequency of your trades will be shown as blue and red fills. There should be a lot. Then turn off Show Event Regions and enable Display EMA Peaks. Adjust all the fields that have the word EMA. This is actually the yellow line on the chart. The blue and red fills should show much less than the crossovers but more than event fills shown in Step 7.
Step 9. Change the Trading Mode to BiDir if you selected No Trades previously. Look on the chart and see where the trades are occurring. Make adjustments to the Minimum Profit and Stop Offset in Section 1 if necessary. Wider profits and stops reduce the trade frequency.
Step 10. Go to Section 4 and 5 and make fine tuning adjustments to the long and short side.
Example Settings
To reproduce the performance shown on the chart please use the following configuration: (Bitcoin on the Kraken exchange)
1. Select XBTUSD Kraken as the chart symbol.
2. On the properties tab set the Order Size to: 0.01 Bitcoin
3. On the properties tab set the Pyramiding to: 12
4. In Section 1: Select “Crypto” for the Trading Model
5. In Section 1: Input 2000 for the Minimum Profit
6. In Section 1: Input 0 for the Stop Offset (No Stop)
7. In Section 1: Input 10 for the Tick Scalar
8. In Section 1: Input 1000 for the Price Normalizer
9. In Section 1: Input 2000 for the Pyramid Minimum Span
10. In Section 1: Check mark the Position Bale Out
11. In Section 2: Input 60 for the Signal Line Period
12. In Section 2: Input 1440 for the Trend Line Period
13. In Section 2: Input 5 for the Fast Alma Length
14. In Section 2: Input 22 for the Fast LinReg Length
15. In Section 2: Input 100 for the Slow LinReg Length
16. In Section 2: Input 90 for the Trend Line Length
17. In Section 2: Input 14 Stochastic Length
18. In Section 3: Input 9 Fast Cross Length
19. In Section 3: Input 24 Slow Cross Length
20. In Section 3: Input 8 Fast EMA Length
21. In Section 3: Input 10 Fast EMA Rise NetChg
22. In Section 3: Input 1 Fast EMA Rise ROC
23. In Section 3: Input 10 Fast EMA Fall NetChg
24. In Section 3: Input 1 Fast EMA Fall ROC
25. In Section 4: Check mark the Long Natural Exit
26. In Section 4: Check mark the Long Signal Exit
27. In Section 4: Check mark the Long Price Event Exit
28. In Section 4: Check mark the Long Stochastic Exit
29. In Section 5: Check mark the Short Natural Exit
30. In Section 5: Check mark the Short Signal Exit
31. In Section 5: Check mark the Short Price Event Exit
32. In Section 5: Check mark the Short Stochastic Exit
33. In Section 6: Input 120 Rise Event NetChg
34. In Section 6: Input 1 Rise Event ROC
35. In Section 6: Input 5 Min Above Zero ZScore
36. In Section 6: Input 120 Fall Event NetChg
37. In Section 6: Input 1 Fall Event ROC
38. In Section 6: Input 5 Min Below Zero ZScore
In this configuration we are trading in long only mode and have enabled downward pyramiding. The purple trend line is based on the day (1440) period. The length is set at 90 days so it’s going to take a while for the trend line to alter course should this symbol decide to node dive for a prolonged amount of time. Your trades will still go long under those circumstances. Since downward accumulation is enabled, your position size will grow on the way down.
The performance example is Bitcoin so we assume the trader is buying coins outright. That being the case we don’t need a stop since we will never receive a margin call. New buy signals will be generated when the price exceeds the magnitude and speed defined by the Event Net Change and Rate of Change.
Feel free to PM me with any questions related to this script. Thank you and happy trading!
CFTC RULE 4.41
These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
RSI Rising Crypto Trending StrategyThis is crypto and stock market trending strategy designed for long timeframes such as 4h+
From my tests it looks like it works better to trade crypto against crypto than trading against fiat.
Indicators used:
RSI for rising/falling of the trend
BB sidemarket
ROC sidemarket
Rules for entry
For long: RSI values are rising, and bb and roc tells us we are not in a sidemarket
For long: RSI values are falling, and bb and roc tells us we are not in a sidemarket
Rules for exit
We exit when we receive an opposite direction.
Cuation: Because this strategy uses no risk management, I recommend you takje care with it.
If you have any questions, let me know !
Trend System Oscillator Averages RatingThis is a trend system made with multiple oscillator averages designed especially for trending markets such as stocks or crypto.
It can be used with any timeframe.
Its made of multiple moving oscillators such as
RSI
Stochastic
ADX
CCI
AO
MACD
MOM
STOCH RSI
WPR
BP
UO
Avg of all oscillators
It has also a rating, making an avg from all of the oscillators , going from -100 (all ma's are telling to go short ) to 100 ( all ma are telling to go long).
If you have any questions let me know !
Trend System Multiple Moving Averages RatingThis is a trend system made with multiple moving averages designed especially for trending markets such as stocks or crypto.
It can be used with any timeframe.
Its made of multiple moving averages such as
Simple
Weighted
Volume Weighted
Exponential
Double EMA
Arnaud Legoux
Hull MA
Smoothed
Least Squares
Kaufman Adaptive
Triple EMA
Zero Lag
Fractal Adaptive
Variable Index Dynamic Average
Jurik Moving Average
Tillson
Triangular
Avg of all moving averages
It has also a rating, making an avg from all of the moving averages , going from -100 (all ma's are telling to go short ) to 100 ( all ma are telling to go long).
If you have any questions let me know !
Traffic Lights Strategy4HS Crypto Market Strategy
This strategy uses 4 ema to get Long or Short Signals
Length are: 4, 9, 18, 100
We take long positions when the order of the emas is the following:
green > yellow > red (As the color of Traffic Lights) and they are above white ema (Used as a filter for long positions)
We take short positions when the order of the emas is the following:
green < yellow < red (As the color of inverse Traffic Lights) and they are below white ema (Used as a filter for short positions)
Enable Long and/or Short Positions in settings
Enable Profit and Stop in strategy settings with different percentage to backtest the strategy. Also if it is better to use a Traditional Stop Loss or a Trailing Stop Loss based on ATR
Change ema filter resolution in settings for better strategy performance
This Strategy was tested on Crypto Market with good results in assets as BTC, ETH, BNB, ADA, LTC, XLM, BCH, among others
Feel free to optimize this strategy, optimizing its parameters. Each asset has its own "personality".
CryptoFall v1.0.0Category: Trend Analysis
Timeframe:
- Best on 4H, D
- Faster on 30M, 1H
Suggested Use: In uptrend.
Input option: Is possible to use "Alternative Time Frame" using other candles on different Time Frame charts.
Logic: The tradable market range is calculated, on which the Fibonacci levels are automatically calculated, at this point the entries could be defined entering on the important zone levels.
The calculation takes into account a combination of indicators such as:
- Fibonacci Retracement ( FibRetr )
- Theory of W. D. Gann .
Entry: The indicator uses Fibonacci levels to identify a good time to enter using the Buy the Dip approach (i.e. considering that a typical pullback is in the range between 0.382 and 0.618).
Tips: The best way to enter the market is always to split the positions so as not to enter entirely and expose yourself with all your capital, @TheSocialCryptoClub insists on a careful management of the orders so as to be able to mediate the price depending on the depth of the retracements.
Exit: Defined by the investor's long-term objective.
Thanks for attention.
Bagheri IG EtherThis is a technical trading strategy for Ethereum ( BINANCE:ETHUSDT ). We built and developed it on MetaEditor and optimized it with MetaTrader optimizer.
The main indicators are Donchian Channel, Oscillator of ROC, Bears Power, Balance of Power, and Simple Moving Average (SMA). Default values in the input panel are the best combination of these indicators, but you can change any of them and try it for better results.
Please notice that this strategy has been optimized on the 1-minute chart of Ethereum.
For each position, you can see the Take Profit (TP) and Stop Loss (SL) levels. Also, you can find the values of mentioned TP and SL in points from the input panel of the script.
Attention: The price of Ethereum has 2 decimal places.
Therefore, 3000 points for TP means 30 USDT for trading 1 BINANCE:ETHUSDT .
Current to BTC [Morty]This indicator helps you find strong bull altcoin, it shows the ratio of the current symbol to BTC.
Donchian Channels help to identify trends.
Alts Bull coins:
When BTC goes sideway, they pump first.
Alts Bear coins:
When BTC goes sideway, they move sideway.
When BTC goes down, they go down harder.
Crypto swing correlation RSI and SMAThis is a crypto swing strategy, designed for long term periods and correlated pairs with crypto market total(or other coins used as correlation, however I recommend total of crypto or btc)
Its components are:
RSI with a very length
Correlation candles
SMA 9
Rules for entry:
For long : RSI is above 51 level and going higher and close of the candle is above the SMA
For short :RSI is below 49 and going lower and close of the candle is below the SMA
Rules for exit:
We exit when we encountered an opposite condition than the entry one, or based on take profit/stop loss levels.
If you have any questions let me know !
Full Crypto Swing Strategy ALMA Cross with MACDThis is a full crypto swing strategy designed.
From my testing it looks like it perform the best on timeframes 4h +.
The below example has been adapted to BNB/USDT, using the entire period since 2017 until present day, with a comission of 0.03% ( which is the comission for the futures on binance).
Its components are :
ALMA Fast
ALMA Slow
MACD Histogram
Rules for entry
For long, we have a crossover of the fast alma with the slow one and the histogram is ascending.
For short, we have a crossunder of the fast alma with the slow one and the histogram is descending.
Rules for exit
We exit based on a risk management system for TP and SL, or when we receive an opposite condition than the initial one.
Regarding risk management
0.05 = 5% movement
2 = 200% movement
0.001 = 0.1% movement
If you have any questions, let me know !
Swing VWAP Weekly Stock and Crypto StrategyThis is a simple yet very efficient swing strategy designed for crypto and stock market, using big timeframes.
Its main component is VWAP weekly, so for best scenarios its better to use big timeframes such as 8h+.
The rules for entry are simple:
If our close if above vwap weekly we enter long .
If our close is below vwap weekly we enter short.
We exit from the trade, when a reverse condition than the entry one is triggered.
Because this strategy has no risk management inside, I recommend to be careful with it.
If you have any questions, let me know
CRYPTO TRADING BOT - 1min SCALPING LONG/SHORTHOW IT WORKS
The core concept behind the script is the determination of the current market mood in sense of creating a trendline indicator using EMA / SMA .
By using this trend indication alongside RSI / MACD value range, we are able to enter/exit the market in both directions: LONG and SHORT .
In case of confirmed false signals, we try to catch up the next good opportunity to minimise loss and to close the current trade.
If the chance for a good countertrade is given at this point, the market is going to be entered reversely.
Should the market move incredibly fast against our trade direction, we use proven Stop-loss targets, to bring our children into safety.
As many others, we could tell you now, that we used state-of-the-art machine learning algorithms
as well as highly sophisticated methods to gain our results.
As a fact, we started with an idea, using simple and common trading tools/indicators,
as a solid ground. We did not want to reinvent the wheel and it paid off.
GET A WORKING SCRIPT
The algorithm we are using has initially been created with a self-developed backtesting software.
To be able to deliver gas to our engine, we have bought a huge amount of OHLCV data for the 1min chart.
After many exhausting and frustrating weeks of our workflow-rotation (develop, fail, fix, test, repeat)
we finally got confirmation for all of our conditions/expectations, so we translated our algorithm into pine-code.
THE RESULTS
Since we have been using our Pine-Strategy alongside our backtesting software , we checked all the results provided by TradingView
and our tool to be 100% sure every outcome, every entry and every exit is exactly the same.
We did this for several months and since 2021 June we have been using it with real Alerts, coped to our binance account.
Below, you will find how the performance for the previous months looked like (every trade was made with 100% of the capital, of course using proper stop loss and take profit):
September 2020: 15.18%
October 2020: 36.17%
November 2020: 15.12%
December 2020: 48.58%
January 2021: 150.10%
February 2021: 45.96%
March 2021: 46.48%
April 2021: 4.96%
May 2021: 43.48%
June 2021: -28.99%
Juli 2021: 15.63%
August 2021 (so far): 11.57%
Accumulated Profit: 1,979.01%
To prove our results, we will link an excel sheet for every trade that was made within this timerange.
Link: docs.google.com
ABOUT US
We are two good friends, both incredibly interested in mathematics, software engineering, AI and algorithmics. After getting introduced into the crypto space
by a common friend, we started figuring out that there is a pattern behind every big or small move which happens in an asset.
This is where the passion for creating a CRYPTO TRADING BOT began. It was our goal, to create this script for the 1min Timeframe, so the software can react quickly when a
big or small move is happening - this is why it is called a SCALPING SCRIPT .
We are incredibly proud of this script and would like to share it with this amazing community - just hit us up on TradingView!
3Commas BotBjorgum 3Commas Bot
A strategy in a box to get you started today
With 3rd party API providers growing in popularity, many are turning to automating their strategies on their favorite assets. With so many options and layers of customization possible, TradingView offers a place no better for young or even experienced coders to build a platform from to meet these needs. 3Commas has offered easy access with straight forward TradingView compatibility. Before long many have their brokers hooked up and are ready to send their alerts (or perhaps they have been trying with mixed success for some time now) only they realize there might just be a little bit more to building a strategy that they are comfortable letting out of their sight to trade their money while they eat, sleep, etc. Many may have ideas for entry criteria they are excited to try, but further questions arise... "What about risk mitigation?" "How can I set stop or limit orders?" "Is there not some basic shell of a strategy that has laid some of this out for me to get me going?"
Well now there is just that. This strategy is meant for those that have begun to delve into the world of algorithmic trading providing a template that offers risk defined positions complete with stops, limit orders, and even trailing stops should one so choose to employ any of these criteria. It provides a framework that is easily manipulated (with some basic working knowledge of pine coding) to encompass ones own ideas and entry criteria, while also providing an already functioning strategy.
The default settings have a basic 1:1 risk to reward ratio, which sets a limit and a stop equal distance from the entry. The entry is a simple MA cross (up for long, down for short). There a variety of MA's to choose from and the user can define the lengths of the averages. The ratio can be adjusted from the menu along with a volatility based adder (ATR) that helps to distance a stop from support or resistance. These values are calculated off the swing low/high of the user defined lookback period. Risk is calculated from position entry to stop, and projected upwards to the limit as a function of the desired risk to reward ratio. Of note: the default settings include 0.05% commissions. Competitive commissions of the leading cryptocurrency exchanges are .1% round trip (one buy and one sell) for market orders. There is also some slippage to allow time for alerts to be sent and orders to fill giving the back test results a more accurate representation of real time conditions. Its recommended to research the going rates for your exchange and set them to default for the strategy you use or build.
To get started a user would:
1) Make a copy of the code and paste in their bot keys in the area provided under the "3Comma Keys" section
- eg. Long bot "start deal" copied from 3commas in to define "Long" etc. (code is commented)
2) Place alert on desired asset with desired settings ensuring to select "Order fills and alert() function calls"
3) Paste webhook into the webhook box and select webhook URL alerts (3rd party provided webhook)
3) Delete contents of alert message box and replace with {{strategy.order.alert_message}} and nothing else
- the codes will be sent to the webhook appropriately as the strategy enters and exits positions. Only 1 alert is needed
settings used for the display image:
1hr chart on BTCUSD
-ATR stop
-Risk adjustment 1.2
-ATR multiplier 1.3
-RnR 0.6
-MAs HEMA/SMA
-MA Length 50/100
-Order size percent of equity
-Trail trigger 60% of target
Experiment with your own settings on your crypto of choice or implement your own code!
Implementing your trailing stop (optional)
Among the options for possible settings is a trailing stop. This stop will ratchet higher once triggered as a function of the Average True Range (ATR). There is a variable level to choose where the user would like to begin trailing the stop during the trade. The level can be assigned with a decimal between 0 and 1 (eg. 0.5 = 50% of the distance between entry and the target which must be exceeded before the trail triggers to begin). This can allow for some dips to occur during the trade possibly keeping you in the trade for longer, while potentially reducing risk of drawdown over time. The default for this setting is 0 meaning unless adjusted, the trail will trigger on entry if the trailing stop exit method is selected. An example can be seen below:
Again, optional as well is the choice to implement a limit order. If one were to select a trailing stop they could choose not to set a limit, which could allow a trail to run further until hit. Drawdowns of this strategy would be foregoing locking gains at highs on target on other trades. This is a trade-off the user can decide on and test. An example of this working in favor can be observed below:
Conclusion
Although a simple strategy is implemented here, the benefits of this script allow a user a starting platform to build their strategies from with built in risk mitigation. This allows the user to sidestep some of the potential difficulties' that can arise while learning Pine and taking on the endeavor of automating their trading strategies. It is meant as an aid, a structure, and an educational piece that can be seen as a "pick-up-and-go" strategy with easy 3Commas compatibility. Additionally, this can help users become more comfortable with strategy alert messages and sending strings in the form of alerts from Pine. As well, FAQs are often littered with questions regarding "strategy.exit" calls, how to implement stops. how to properly set a trailing stop based on ATR, and more. The time this can save an individual to get started is likely of the best "take-aways" here.
Happy trading
5 SMMA - by MiCryptoGives you the 5 most common SMMA for crypto in day trading:
- 10
- 21
- 50
- 100
- 200
This can be configured as you want.
Hope this can help you to get more indicators in a free plan.
CryptoKiller Support ResistanceThe CK family is ready to welcome a new indicator: CryptoKiller Support Resistance.
Our oscillator determines the levels where the price has congestion, both up and down.
This is why we decided to exploit these signals so as to make an indicator capable of tracking supports and resistances.
The indicator marks the support and resistance levels found by CryptoKiller Oscillator, the blue / light blue lines are found
during bullish movements; purple and magenta lines are found during bearish movements.
The light blue and magenta colors indicate probable support levels, the blue and purple colors indicate probable resistance levels.
If multiple lines occur in a narrow price range, the price is in an area where there is a high probability of reversal (probable market top or bottom).
As well as CryptoKiller and CryptoKiller Oscillator it is optimized for ETHUSDTPERP 30 min, BTCUSDTPERP 30 min and BNBUSDTPERP 30 min, but it can be used on any chart and timeframe, there is a custom mode with which to change the input parameters.
This script is provided together with CryptoKiller and CryptoKiller Oscillator. It is also possible to have it separately from the others, as always with a free trial week.
OnePunch Algo Momentum Indicator V1This is another Plugin from One Punch Algo Team. We call it OnePunch Algo Momentum Indicator V1.
Basic Use:
One Punch Algo Momentum Indicator plugin is used for momentum stocks and high volatility crypto. It provide signals based on Simple Moving Average, Volume, Support & Resistance Lines.
SIGNALS/ALERTS
Buy Signal: Purple Color uptrend icon gives you a signal of an up-trending movement or we call it momentum movement. This signal basically happen when a stock land in a high volatility zone. We use in-build systems such as SMA, Support and Resistance and Trends to come up with the Buy Signal.
Sell Signal: Gray Color downtrend icon gives you a signal of a downtrend movement.
Other Lines Shown in the Diagram:
Red Line is the 200 Day Simple Moving Average (SMA)
Green Line is the 50 Day Simple Moving Average (SMA)
Strategy Tester
Always make sure to use the strategy tester to test how historically our Algo has performed in different time frames. One Punch Algo Momentum Indicator provide the ability to backtest based on certain time periods. This allows you to backtest our Algo vs some other Algo to find which performed well for the given time period, you if you want to see buy and hold performance better than the use of an Algo. This is a strong tool to use for your analysis of a stock or crypto.
What are the timeframes where it is most effective?
Different Stocks or Crypto perform differently with One Punch Algo Momentum Indicator. Please make sure to backtest a stock or crypto before you use the strategy.
Short Term/Day Trading Setup
For Short Term or Day Trade: 1min, 5min, 15min & 30min candlesticks works really well.
Also 3min, 5min, 7min and 15min works as well
Mid Term Trading Setup
For Mid-term traders: 30min, 1hr,2hr, and 4hr setup works really well.
For Long Term Trading Setup
For long term traders: 4hr, 1D, 1Week and 1Month Setup works well.
Best used with Heikin Ashi or Candlestick charts.
DISCLAIMER: Stocks and options trading involves substantial RISK of LOSS and is NOT suitable for every investor. The valuation of stocks and options may fluctuate, and, as a result, clients may lose more than their original investment. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account. You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks, you must seek independent advice from your financial advisor.
All trading strategies are used at your own risk. And OnePunch ALGO Developer, Youtuber or the channel does NOT take any responsibility for your losses using any of the advice or suggestions or strategies are shown/said in any of OnePunch ALGO Youtuber or the channel videos.
Smartgrow Trading - Bot Series 01 - Bearish PowerWelcome to our first Tradingview trading bot.
We develop signals which have been specially developed for crypto trading bots. We publish new indicators at regular intervals.
The main idea behind the bot is to use custom created indicators in a short and longer term timeframe to signal potential trendreversals in downtrends or ranging markets. The bot is not waiting for a trend confirmation signal before entering a trade, on the contrary, the bot waits for statistical extreme values to open a trade. When potential signals are detected we are trailing price to find the best spot to enter a trade. With this approach we buy in strong oversold areas as these have great potential to move in the other direction again. The sell signals are also generated by this custom indicator only selling off, if a stronger recovery in the market has occured. The potential profit margin is therefore between the best possible entry into a heavily oversold market and a recovery of the market.
So this tradingbot isnt designed to work with take profit, stop loss or trailing stop loss. This would result in a long term loss and is therefore not recommented. Also the bot is not tested in any other market like futures or stocks. So we recommend to use it in crypto spot market only.
Depending on market situations, potential losses can occur when a market is strongly bearish and does not want to recover over a long range, or when the bot has entered a trade to early. We have built in a safety mechanism for detecting further downtrends to avoid major losses. This mechanism is part of the needed risk management Therefore we are suggesting to use a proper risk management so only use 2-5% of your funds per trade. We use this bot with 2,5% funds per trade for our personal use. The study needs to be set up in the 5 min chart to work and you need to set up one buy alarm and one sell alarm per pair. The Signals are very picky therefore it is suitable to apply it on all possible pairs on your exchange excluding stable and shitcoins. You could test it in other financial markets but the bot was developed especially for crypto markets. If you have questions regarding pairs or want to see real life performance, feel free to contact us.
This indicator using different timeframes so it is sending a repainting warning. Cause it calculates values in a different timeframe. But thats normal and it wont recalculate results.
We sell this indicator so it is invite only. But of cause you can test it before buying.
If there are questions, write them into the comments or contact us directly over the direct message. Happy Trading!
Skript nur auf Einladung
Smartgrow Trading - Visual Series - CryptoballWelcome to our Tradingview buy signal indicator with visual support.
We develop signals which have been specially developed for crypto trading bots. We will publish new indicators at regular intervals.
At the moment our all-in-one indicator includes the following indicators:
- "Crypto Bot Signal 01 - Optimized RSI Momentum"
- "Trading Bot Buy Signal 02 - MTF Stochastic"
- "Trading Bot Buy Signal 03 - MTF StochRSI"
- "Smartgrow Trading - Bearish Power Signals"
The basic idea of this all-in-one indicator is to decrease the needed number of alarms and to provide an all-in-one script for our users trading long direction only. We only include indicators which are relatively robust against false breakouts, even if these can of course never be avoided. These signals alone occur relatively rare, but you can set an alarm up on different pairs simultaneously. The strategy can only be used in 5 min chart and in crypto pairs. It wasnt tested in Forex etc. but feel free to test it.
The main idea behind the signals is to identify strong oversold areas as these have great potential to move in the other direction again. To determine this, we use custom oversold indicators to create buy signals. You could automate these buy signals but we suggest to use these instructions instead:
If an alarm is triggered it is showing points with a strong reversal chance for long signals. We recommend watching the chart closely and finding a good entry point. For visual support, we have visualized the basic trend in color on the one hand. If the 5 minute trend line is above the 1 hour trend line , then there is an upward trend which is marked with a corresponding note. If the 5 minute trend line is below the 1 hour trendline, then there is a downward trend. If you only want to look at the trend line of the 5 minute chart, deactivate the 1 hour trendline in the settings. When the 5 period Exponential Moving Average is higher then the 90 period Exponential Moving Average then the area between them is colored in green, otherwise in red. The same is the case when the 5 period Exponential Moving Average is higher then the 1 hour trendline.
As a second visual support, we have marked volatile zones in the market with the colors black and white. The color black generally denotes a market with low volatility and entry into these areas is therefore not recommended or involves risks. To show potential entry points based on market momentum we added note signs showing either buy or sell spots based on crossovers. If a crossover is within an area of low volatility we marked it as risk buy. if a crossover is within an area of higher volatility we marked it as a strong buy.
To find a good point to exit a trade we added also note signs showing possible sell spots. When these occure an crossover in momentum has allready occured and a potential trend reserval may occur. You could also use this indicator in combination with oversold indicators like RSI or Stochastic to see potential reversal spots when a market is oversold. As a last helper we implemented the Cryptoball on the right side of the chart to vizualize the currently price movement. Therefore it is looking only a few candles back to show you the smoothed price direction. When the color of the indicator is switching from green to red it is a sign that a smaller price drop may occure amd indicates a possible sell.
We sell this indicator so it is invite only. But of cause you can test the single indicators before buying.
If there are questions, write them into the comments or contact us directly over the direct message. Happy Trading!
Liquidity Rainbow - Trillion ResearchThis indicator uses regression along with RSI and moving averages from multiple time frames to help you visualize the market in a single view. After learning the notations, you will be able to identify pockets of liquidity and determine high/low probability price zones without drawing a single line.
Booster symbols help confirm short term trends and breakouts based off of two waveform functions, one long period, the other with a much shorter period. You get the buy signal that everyone else sees plus the confirmation!
This is a system that is not fully developed, PNL is not available yet. Strategy version is coming soon, still back testing.
I am tuning this model for crypto specifically, although it works for anything with a price chart.
2 EMAs (configurable to MA)
Dragonskin - RGB circle plots eMA
Rainbow - RGB area plots eMA
+When you see the rainbow appear it means that the price is above the slowest ema baseline. Generally bullish as price tends to ride the rainbow. Ideally, you will see a white cloud at the origin.
-When you see white step line cutting into the upper colors of the rainbow.
Once the price has traded below the rainbow for the FIRST time, not just wicked. You can set a target that's just above the previous high bodys above the rainbow. Do not sell the dip, let the floppers flop.
The second time price cuts down through a thick rainbow is usually bearish .
What makes me so sure? Liquidity
In order to be successful, we need to understand liquidity, the juiciest pockets of profit.
I will reveal more of the strategy in the second script.
For now, use:
SUN symbol - Notice how the price always seems to come back and sweep up any SUNs that get left behind (up and down) this is a liquidity nugget
CLOUD(s) indicators of support. Meaning that on ema trend we expect a lower price but each time that happens, it gets bought up above baseline. weak->strong (little gray - light blue - white)
LIGHTNING indicator of resistance. Meaning the price is not being allowed to recover, each time it rises above baseline, it is sold down again.
YELLOW CROSS - Classically known as a whale manipulation indicator. It tends to indicate a strong bearish move incoming or the reversal of an ongoing bearish move. There's dumping. "Get ready something is happening" indicator.
HEARTS = BUY
SPADES = Buy
CLUBS = Sell
DIAMONDS = SELL
*do not use these during periods of consolidation. consolidation is a period when the price swings in both directions but not too much. In a narrow range the indicators can pop up.
Why does this happen?
Short periods, during which exchanges stabilize the prices, are necessary for the redistribution of assets over the course of trading. Sometimes they happen multiple times a week and can last 24 or 48hours. Also it is a great time to eat up algo traders and that's why you'll see noise.
You want to focus on the period immediately following a consolidations. Don't rush it, they really do take 20 hours+
If you realize that you are in one of these consolidation ranges, limit order the tips of the wicks, nothing in the middle. There is not much profit here but also there is minimal risk.
If you're confirmed in a consolidation, exchanges will work to buoy the price to the appropriate mark price even if there is a big buy/sell order. A lot of time price will go up the congruent amount afterwards to compensate the toxic vwap .
I hope this helps people see the bigger picture and become even more successful with bigger gains.
I've tested this on all the major cryptos. Bitcoin BTC Ethereum ETH HEX
Honestly, I have tested very few stonks with this, later.
-Market Enemy
Crypto Scalper Divergence Macd Psar Ema 200This is a very efficient crypto scalper adapted to very short timeframes, however it can be optimized for other timeframes and assests as well.
Its components are
MACD
P SAR
EMA 200
Risk management
Rules for entry:
For short : we have an uptrend on PSAR , histogram is positive (divergence MACD) and close of a candle is below EMA 200
For long : we dont have an uptrend on PSAR, histogram is negative(divergence MACD) and close of a candle is above EMA 200
Rules for exit:
We exit when we either find a reverse condition than the entry one, or based on stop loss/take profit that are calculated on % movements of the price.
If you have any questions, let me know !
RaBot V1.0.0Rabot is an indicator for new users as well as experienced users.
This indicator tries to predict both buy and sell signals. You can configure it for both scalping and swing trading.
It has two modes, one more "conservative", where the number of entries will be less than the other "greedy" mode.
Based on the famous and complex indicator "Koncorde" that combines both trend and volume knowing the manipulation of strong and weak hands, patterns, and crossing of emas customized by us; for example: a buy signal in conservative mode will only open if the trend is bullish and vice versa.
The user can configure the way they like by opening many positions or few but more secure based on their trading style.
The indicator also has the option to configure which chart we want to obtain the trend from, this is to avoid perhaps opening shorts in a very bullish trend line for example.
Rabot is a fairly complex indicator, which can be used for automatic use of inputs and outputs, as well as manual.
You also have the option of NOT opening a position if there is one currently open, and the option for the next signal to be the opposite of the last one.
5TPs, 1SL, and Breakeven after take profit achieved.
Finally version 1.0.0 is now available! :)
This version does not have backtesting (we have another that yes)
We are continuously working, testing and updating bugs and improvements.
Do not hesitate to get in touch for a feedback, it will be welcome and we will take it into account.
