Price Change Scalping Strategy v1.0 - 3Commas EditionIntroduction
This strategy implements the Price Change Scalping (PCS) strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required PCS-related settings found in the original Price Change Scalping Strategy v1.0 to successfully implement the strategy.
The strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness:
Full support for all possible 3Commas bot settings.
Define a short or long trading strategy.
Price change data source and offset settings.
Your layering placement relative to the entry price.
Your trading parameters like take profit and stop loss offsets, trailing take profit support, exchange commission rates, trading start time, and order size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
The visibility of detailed Used Amount for Each Step table that details how each layer will be allocated for trading.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include:
Deal Start
Deal Close
Strategy Results
The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.33, and a take profit of 2% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typically takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Pesquisar nos scripts por "take profit"
Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas EditionIntroduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required QFL-related settings found in the original Quickfingers Luc's Base Breaking Strategy v2.5 to successfully implement the strategy.
The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness:
The ability to define the QFL base confirmation settings, including volume analysis.
The ability to define your preferred layering strategy of either dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
The ability to define your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
The ability to define flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The ability to set the visibility & color theme of the detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to implement the QFL base-breaking strategy ion 3Commas. The strategy version leverages the full features of the TradingView backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include:
Deal Start
Deal Close
What does it do and how does it do it?
The strategy can be applied to any chart at any time frame, but the minimum should be no lower than 10 minutes. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in thin blue lines. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a deal session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, a table of statistics is positioned to the upper-right corner of the chart that summarize all the events that have taken place since the indicator began simulating deal sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.35, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Quickfingers Luc's Base Breaking Strategy v2.5Introduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy. The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Base confirmation settings, including volume analysis.
Your preferred layering strategy of either Dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the QFL base-breaking strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Base Created
Base Cracked
Base Respected
Any Layer Cracked
Layer 1 Cracked
Layer 2 Cracked
Layer 3 Cracked
Layer 4 Cracked
Layer 5 Cracked
Layer 6 Cracked
Layer 7 Cracked
Layer 8 Cracked
Layer 9 Cracked
Layer 1 Respected
Layer 2 Respected
Layer 3 Respected
Layer 4 Respected
Layer 5 Respected
Layer 6 Respected
Layer 7 Respected
Layer 8 Respected
Take Profit Crossed
Stop Loss Crossed
What does it do and how does it do it?
It is recommended that you start with a chart that is on an hourly timeframe with the "Scale Price Chart Only" chart setting enabled. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in blue using a Fibonacci-like sequence for the deviation offset relative to the base price. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a trade session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, the very last bar will render a table of statistics that summarize all the events that have taken place since the indicator began simulating trading sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4887% of the equity with a Position Size Multiplier of 1.35, using 8 total DCA layers, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
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.
Pivot Reversal Strategy + alerts via TradingConnector to indicesSoftware part of algotrading is simpler than you think. TradingView is a great place to do this actually. To present it, I'm publishing each of the default strategies you can find in Pinescript editor's "built-in" list with slight modification - I'm only adding 2 lines of code, which will trigger alerts, ready to be forwarded to your broker via TradingConnector and instantly executed there. Alerts added in this script: 14 and 22.
How it works:
1. TradingView alert fires.
2. TradingConnector catches it and forwards to MetaTrader4/5 you got from your broker.
3. Trade gets executed inside MetaTrader within 1 second of fired alert.
When configuring alert, make sure to select "alert() function calls only" in CreateAlert popup. One alert per ticker is required.
Adding stop-loss, take-profit, trailing-stop, break-even or executing pending orders is also possible. These topics have been covered in other example posts.
This routing works for Forex, indices, stocks, crypto - anything your broker offers via their MetaTrader4 or 5.
Disclaimer: This concept is presented for educational purposes only. Profitable results of trading this strategy are not guaranteed even if the backtest suggests so. By no means this post can be considered a trading advice. You trade at your own risk.
If you are thinking to execute this particular strategy, make sure to find the instrument, settings and timeframe which you like most. You can do this by your own research only.
Consecutive Up/Down Strat + alerts via TradingConnector to ForexSoftware part of algotrading is simpler than you think. TradingView is a great place to do this actually. To present it, I'm publishing each of the default strategies you can find in Pinescript editor's "built-in" list with slight modification - I'm only adding 2 lines of code, which will trigger alerts, ready to be forwarded to your broker via TradingConnector and instantly executed there. Alerts added in this script: 12 and 15.
How it works:
1. TradingView alert fires.
2. TradingConnector catches it and forwards to MetaTrader4/5 you got from your broker.
3. Trade gets executed inside MetaTrader within 1 second of fired alert.
When configuring alert, make sure to select "alert() function calls only" in CreateAlert popup. One alert per ticker is required.
Adding stop-loss, take-profit, trailing-stop, break-even or executing pending orders is also possible. These topics have been covered in other example posts.
This routing works for Forex, indices, stocks, crypto - anything your broker offers via their MetaTrader4 or 5.
Disclaimer: This concept is presented for educational purposes only. Profitable results of trading this strategy are not guaranteed even if the backtest suggests so. By no means this post can be considered a trading advice. You trade at your own risk.
If you are thinking to execute this particular strategy, make sure to find the instrument, settings and timeframe which you like most. You can do this by your own research only.
RSI Strategy with alerts via TradingConnector to ForexSoftware part of algotrading is simpler than you think. TradingView is a great place to do this actually. To present it, I'm publishing each of the default strategies you can find in Pinescript editor's "built-in" list with slight modification - I'm only adding 2 lines of code, which will trigger alerts, ready to be forwarded to your broker via TradingConnector and instantly executed there. Alerts added in this script: 12 and 17.
How it works:
1. TradingView alert fires.
2. TradingConnector catches it and forwards to MetaTrader4/5 you got from your broker.
3. Trade gets executed inside MetaTrader within 1 second of fired alert.
When configuring alert, make sure to select "alert() function calls only" in CreateAlert popup. One alert per ticker is required.
Adding stop-loss, take-profit, trailing-stop, break-even or executing pending orders is also possible. These topics have been covered in other example posts.
This routing works for Forex, indices, stocks, crypto - anything your broker offers via their MetaTrader4 or 5.
Disclaimer: This concept is presented for educational purposes only. Profitable results of trading this strategy are not guaranteed even if the backtest suggests so. By no means this post can be considered a trading advice. You trade at your own risk.
If you are thinking to execute this particular strategy, make sure to find the instrument, settings and timeframe which you like most. You can do this by your own research only.
EMA pullback strategyA solid EMA pullback strategy for cryptos 15 min chart that uses EMA crossing as signal and pullback as stop loss.
EMA1: shortest period for finding crossing (I find period = 33 profitable for BTCUSD, you can adjust it for other cryptos)
EMA2: 5x period of EMA1, for filtering out some trend reversals
EMA3: 11x period of EMA1, for determining trend direction
Rules are:
Long:
close price > EMA3
EMA1 > EMA3
close price pullbacks below EMA1 and then crosses up EMA1, enter at the first close price above EMA1
lowest pullback close price < EMA2 at the cross up
Short:
close price < EMA3
EMA1 < EMA3
close price pullbacks above EMA1 and then crosses down EMA1, enter at the first close price below EMA1
highest pullback close price > EMA2 at the cross down
Stop-loss at lowest/highest pullback price for long/short
Take profit = 2x stop-loss
Risk management: risk range can be set in the inspector. If the risk is lower than the range, the trade is not taken. if the risk is higher than the range, the position size is adjusted to keep the risk within range.
SSL Hybrid StrategyStrategy based on the SSL Hybrid indicator by Mihkel00
Designed for the purpose of back testing
Strategy:
Enters both long and short trades based on SSL1 crossing the baseline
Stop Loss calculated based on ATR multiplier
Option to allow moving of Stop Loss to break even on TP1
Option to turn off Stop Loss and Take Profit which will rely on indicator flip to exit from position
Take Profits configurable with up to 5 ATR multipliers and exits percentages (percentages calculated as percentages of original position size, eg. 100 tokens with 3 TPs of 20, 30, 50 would exit the same number of tokens on each TP)
Credits:
SSL Hybrid Mihkel00 www.tradingview.com
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!
Triad-SwingBot-BTCStrategy tuned for BitCoin . The indicator version of this uses alerts to start a long or short DCA 3comma bot. Preferably running on futures exchange so I can go long or short and use 5x margin. Alerts also take profit/close position when trend changes.
KYC crackdown is leaving me limited places I can run these now.
Use this on Binance BTC /USDT 1HR chart. Binance seems to give the best data even when trading from other exchanges.
There are various versions of these I might release tuned to each cryptocurrency. I have about 20 different coins that were profitable. Each work best with different settings.
This strategy uses a variety of factors to determine long and short entry including:
-Price is starting to trend up (long) or down (short)
-Price closing above/beneath specified EMA or SMA
-Price within RSI bounds for valid entry
-MACD histogram is positive(long) or negative (short)
-Volume surge indicating viable entry
If there's decent interest in the indicator version of this with alerts to send long/short signals to bots, I'll work out an invite-only system.
Ichimoku & SupertrendThis indicator is a combination of Ichimoku and Super trend, while to have a clearer chart, it does not plot on the price chart. Buy and Sell signals are derived from Ichimoku: price closes above the Conversion line, and both are above Komo cloud, there will be a Buy signal. Sell signal appears where the exact opposite has occurred. Since there are more volatility and sharper movements in the cryptocurrency market, it is recommended to use the indicator on Crypto pairs rather than Forex pairs or the Stock market. For this purpose, I tried to optimize the inputs of Ichimoku and assign new inputs as the default values of the indicator. I came up with "8" as the input of the Conversion Line and "53" as the input of the Lagging Span. Although, since the indicator takes advantage of a flexible setting, you may change the values according to the timeframe and market you wish to trade.
There is also a Super trend indicator to give a better insight into the market condition and assist you in executing more profitable trades. The super trend is derived from several simple calculations consisting of the Average True Range and a multiplier (all of which are adjustable). The super trend says the direction of the current market and whether the market is Bullish or Bearish. Where leveling in the slope of the Super trend shows that the market is in a range state.
It is worth mentioning if you entered a position, you should not be waiting for the next signal to appear to close your current position. As my own experiences in Crypto pairs suggest, a Risk-reward ratio of 1.3 would be the best for your positions. For example: If the indicator has shown a "Buy" and you have just entered a long position, it is better to set your Stop-loss just below the previous low (pivot point) and your Take-profit in a way that your Risk-reward be equal to 1.3.
Please do not use this indicator in the "Range" market conditions.
Bottom line, It would be best to consider that this indicator assists you in your trades. It would help if you had made sufficient analysis and managed your risk before you execute any trade.
Simple Buy/Sell StrategyThis is the strategy version of the original 'Simple Buy/Sell Indicator' by @Shizaru .
The original indicator description explains the logic behind the strategy:
"The original script was posted on ProRealCode by user Doctrading.
This little and simple code allows you to draw an indicator, which show you when buy or sell conditions are met.
For "buy" conditions, I did just set :
close > MM200
close > Parabolic SAR
MACD > 0
RSI7 > 50
For "sell" conditions : the opposite.
Of course, you can set what you want, in order to test your strategies.
Of course, to be profitable, you must also set your trading rules (entry, stop loss, trailing stop, take profit, etc.)
It's only an indicator, which doesn't show entry or exit rules."
Hope this helps someone!
Scalp - 50/200 EMAWorks on any timeframe but was built originally for scalping. Uses 50EMA and 200EMA to define the trend and touch backs on to the 50 EMA for entry.
200 EMA - White Line
50 EMA - Yellow Line
ATR: Length 14 Smoothing RMA
1. Wait for 50ema to crossover 200 ema – Then wait for candle to touch 50 ema after the cross.
2. Entry: Green candle that closes above 50 ema without getting more than 3 candles closing below(BUY) or above (SELL) 50ema.
3. Stop loss: 2x ATR value below entry candle.
4. Take profit: 1.5x the risk.
Settings allow for # of Entries allowed per trend as well as EMA periods.
Opposite for Sell Entries (Stop Loss: 2x ATR value above entry candle)
EMA RSI ATR Hidden Div Strat - 1 MinHey there!
Hereby I present you the EMA RSI Lowest Low Hidden Divergence strategy, which I discovered on a youtube channel.
He has tested the strategy hundreds of times manually, herewith I try to automate the whole thing.
Since I use the strategy with a bot, it can only enter long positions for now. But in the future I will add the possibility to trade short positions.
The strategy was tested with BTC/ USDT in 1m chart (8 days). The values must be adjusted depending on the timeframe and coin.
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How does the strategy work?
First of all, we need a bullish hidden divergence.
Once this is detected, the following parameters are checked:
The 50 EMA must cross the 250 EMA .
Then, the candle must close above the 50 EMA .
The K line of the RSI STOCH indicator need to crosses the D line.
If the next candle closes above the 50 EMA , a long position is opened.
The stop loss is determined with the "lowest low/highest high lookback".
The profit factor is multiplied by the value of the lowest low/highest high lookback.
The results of the strategy are without commissions and levers.
If you have any questions or feedback, please let me know in the comments.
In the future I will add other types of stop loss / take profits. (ATR; %; eg.)
I wish you good luck with the strategy!
Tripple super Trend + EMA + RSI StrategyGreetings!
Here I show you the Tripple Super Trend Strategy.
I discovered the strategy on a YouTube channel and tried to transfer it as a strategy into a script.
Tested with the currency pair EUR/USD in the one hour chart.
Period: beginning of 2020 until today.
The strategy should also work with cryptocurrencies. But then the settings have to be adjusted.
There is the possibility to activate only long or only short position.
The EMA can be used in a time different from the chart.
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How does the strategy work?
For long positions, the candle must be above the EMA .
The candle must be closed above at least two of the supertrend lines.
The stochastic RSI must show oversold and the k line must cross over the D line.
For short positions, the candle must be below the EMA .
The candle must be closed below at least two of the supertrend lines.
The stochastic RSI must indicate overbought and the K line must cross below the D line.
The stop loss is determined with the "lowest low/highest high lookback".
The profit factor is multiplied by the value of the lowest low/highest high lookback.
The results of the strategy are without commissions and levers.
If you have any questions or feedback, please let me know in the comments.
In the future I will add other types of stop loss / take profits. (ATR; %; eg.)
If you need more information about the strategy and want to know exactly how to apply it, check out my profile.
I wish you good luck with the strategy!
Bollinger Bands strategy with RSI and MACD v1.0 This is a strategy based on the Bollinger Bands, where buy trades are made when the price crosses the lower line of the Bollinger Bands upwards, and sell trades are made when the price crosses the upper line downwards.
In addition, it is possible through the inputs to enable trading with RSI and MACD, so that buy or sell trades are supported by these two indicators.
Trades are partially and fully closed in the following way, a buy trade will close half of the position when the price touches the middle line of the Bollinger bands and will be fully closed when the price touches the upper band. In the case of a sell position, half of the position will be closed if the price touches the middle band and the entire position will be closed when the price touches the lower band. Alternatively, a fixed take profit can be placed. In case the price moves against us, trailing stops can be placed.
In case of selecting to use RSI, MACD, or MACD variation, trades will be executed as long as The Bollinger Bands, and all the above-mentioned indicators give the same signals, either buy or sell.
For example in the case of selecting only Use RSI, buy trades would be made as long as RSI and BB give buy signals.
Strategy inputs:
-BB source: Bollinger Bands price source.
-Bollinger Bands SMA length: Bollinger Bands simple moving average length.
-Bollinger Bands StdDev length: Bollinger Bands standard deviation length.
-Trail Long Loss (%): Distance in percentage at which the stop loss will initially be placed for buy trades.
-Trail Short Loss (%): Distance in percentage at which the stop loss will be initially placed for sell trades.
-Maximum orders: Maximum of simultaneous operations, for example, if it is 3, up to 3 parallel operations of buy and up to 3 parallel operations of sell will be carried out.
-Position size: Number of contracts per trade.
-Use RSI: If selected, the strategy will also trade based on oversold or overbought signals provided by the RSI.
-RSI source: RSI price source.
-RSI period: The RSI period to use.
-RSI value for buy: If the RSI is below this value, it will give a buy signal.
-RSI value for sell: If the RSI value is above this value, it will give a sell signal.
-Use MACD: If selected, buy trades will be made when the MACD crosses 0 upwards, and sell trades will be made when the MACD crosses 0 downwards.
-Use MACD variation: Only available if MACD is previously selected. In this case, buy trades are made if the MACD value in the last 3 candles has been decreasing, and sell trades are made if the MACD value has been increasing.
-MACD source: MACD price source.
-MACD fast length: MACD fast EMA lenght.
-MACD slow length: MACD slow EMA lenght.
-MACD signal length: MACD signal EMA lenght.
-Use maximum TP long: If selected, a fixed take profit will be placed for buy trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit long (%): Distance in percentage at which the take profit will be placed for buy trades.
-Use maximum TP short: if selected, a fixed take profit will be placed for sell trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit short (%): Distance in percentage at which the take profit will be set for sell trades.
I hope you like it and as always all feedback is welcome.
Bollinger Bands Trending Reverse StrategyWelcome to yet another script. This script was a lot easier since I was stuck for so long on the Donchian Channels one and learned so much from that one that I could use in this one.
This code should be a lot cleaner compared to the Donchian Channels, but we'll leave that up to the pro's.
This strategy has two entry signals, long = when price hits lower band, while above EMA, previous candle was bearish and current candle is bullish.
Short = when price hits upper band, while below EMA, previous candle was bullish and current candle is bearish.
Take profits are the opposite side's band(lower band for long signals, upper band for short signals). This means our take profit price will change per bar.
Our stop loss doesn't change, it's the difference between entry price and the take profit target divided by the input risk reward.
MACD Crossover trend strategy, Long and ShortHey everybody,
This is my first strategy and script I wrote mostly myself. There's tons of content out there to learn how to code in Pinescript and it's exactly what I wanted and needed in this time of my life.
In any case, I made a rather simple MACD crossover strategy that only takes trades in the direction of both EMA and SMA (there are inputs to change the length of the moving averages and lots of other stuff too).
If the MACD line crosses upwards on the signal line, while above the zero point of the histogram and the price is above EMA + SMA , it's a long signal.
If the MACD line cosses downards on the signal line, while below zero on the histogram and the price is below EMA + SMA , it's a short signal.
There are a lot of default variables that make no sense, for basically any symbol you're going to be looking at. You're going to have to adjust the EMA , SMA , backtest date, take profit, stop loss and all that good stuff yourself to find decently profitable parameters.
I made this myself because I couldn't really find a strategy out there that allowed for so much customizing and it's an easy way to get started in Pinescript.
If you have any suggestions, tips or you see a flatout mistake in my code, please let me know. I'm still learning, everyday and I'm enjoying every second of it.
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies!
P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
#JJ_Shares Trend Follower
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Hey there!
There are many reasons why this strategy has worked quite well over the past few years.
A very simple strategy in itself. The basis of this indicator is the trend following approach. "The trend is your friend." This strategy is based on individual separate indicators. A total of three EMA's (10.50 & 200) & the ATR are combined. The largest EMA shows the basic trend direction and thus also the preferred trade direction. The two smaller EMAs are used for the timing of the entrances at the intersection. The stop levels are placed with the help of the ATR and the large EMA. Profit areas are determined using a risk calculation.
Exact entry points can be identified using the indicator. In addition, a take profit is visualized based on a 3:1 CRV . The stop loss results from a long-term EMA .
Example for NASDAQ:GOOGL ! But can be used for all other trend following stocks!
The indicator can be used on all timeframes. However, the performance is significantly better in higher timeframes. In addition, the display can be adjusted using the options.
That's all. Due to the technical chart background, the strategy can be used without further chart analysis.
Attention: Before opening a position, always first check whether there is any strong news. In these cases it is better to be on the safe side.
Attention: With this strategy a SL is provided as standard. However, the risk must always be carefully calculated.
Past results do not guarantee future profits!
Use the link below to get access to this indicator or PM us to get access.
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Willkommen!
Es gibt viele Gründe, warum sich diese Strategie in den letzten Jahren ganz gut bewährt hat.
Eine sehr einfache Strategie für sich. Grundlage dieses Indikators ist der Trendfolgeansatz. "The trend is your friend." Diese Strategie basiert auf einzelnen seperaten Indikatoren. Insgesamt werden drei EMA's (10,50 & 200) & die ATR kombiniert. Der größte EMA zeigt die grundsätzliche Trendrichtung und somit auch die bevorzugte Traderichtung. Die beiden kleineren EMA werden bei Kreuzung für das Timing der Einstiege verwendet. Mit Hilfe der ATR und des großen EMA werden die Stop Level platziert. Gewinnzonen werden über eine Risikoberechnung ermittelt.
Anhand des Indikators können genaue Einstiege erkannt werden. Zusätzlich wird aufgrund eines 3:1 CRV ein Take Profit visualisiert. Der Stop Loss ergibt sich über einen langfristigen EMA .
Beispiel für NASDAQ:GOOGL ! Kann aber für alle weiteren Trendfolge Aktien verwendet werden!
Der Indikator kann auf allen Timeframes angewendet werden. Allerdings ist der Performance in höheren Timeframes deutlich besser. Zusätzlich kann die Anzeige über die Optionen angepasst werden.
Das ist alles. Aufgrund des charttechnischen Hintergrunds kann die Strategie ohne weitere Chartanalyse verwendet werden.
Achtung: Vor dem Öffnen einer Position immer zuerst prüfen ob starke News anstehen. In diesen Fällen lieber auf Nummer sicher gehen.
Achtung: Bei dieser Strategie ist standardmäßig ein SL vorgesehen. Das Risiko muss aber immer gut kalkuliert werden.
Vergangene Ergebnisse garantieren keine zukünftigen Gewinne!
Verwenden Sie den folgenden Link, um Zugriff auf diesen Indikator zu erhalten oder schreibe uns eine PM um Zugriff zu erhalten.
Triple SMA Strategy with entries based on sma price closesHi! :)
This strategy is made for intraday trades, especially on 5 sec - 5 min charts to follow the trend.
I have not tested on higher timeframes, but feel free to play with the values.
I have set a basic value for the 3 SMA at
-200
-400
-600
We will use an oscillator for entries which is not mine. Link ->
The oscillator mentioned above is just for visualization purposes, You do not need to get the signals, but You can see how scripts are generated with different values.
When the price above/below all the 3 SMA and oscillator crosses above/below "value you set" - You will get the buy or sell signal.
Your stop will be where the slowest SMA is.
Pyramiding is set for 10.
You can manually set 3 take profit and quantity levels.
Basic values are 1 %, 2 %, and 6 % for taking profits - You can change it based on how volatile the asset is.
Basic quantity values are 30 % at each level.
Hope You find it useful :)
Simple RSI strategyso this script just take it as teaching how to make easy strategy
many time we try complex one and we fail
thanks to coinrule for his very smart method of pyramid
i just here in this very simple rsi strategy want to show how even lame strategy like RSI can be very profitable:)
1. we exit by take profit
2. we make sure that for exit by take profit the stop loss will be far lets say 10% or more
3. this shit only work good in up trending markets:)
why regular rsi strategy not working? because the exit is shity ... it depend on false top that based on RSI above 70 or 80 in general.
in bullish state this will exit us faster then we desire and will cost us loss . in bearish state rsi will not go so high and we exit too late so the stop loss is our our only saver
here by exiting by% we get much better results
so what happen if the trend is bearish? you can can try to do the same just reverse order to create more shorts (sometime it work sometime is not)
end conclusion in bullish trending market even shifty strategy is good
the only reason this one work is actually because of the script of coinrule so i want to thank him on this
happy new year to all TV members
KISS Strategy: SMA + EMA//Hello my fellow investors
//I am creating a simple non-cluttered strategy that uses 3(+1) simple means to determine: viability, entry, and exit
//1) Has a consistent trend been maintained for several days/weeks
//2) SH SMA crossover LG SMA = Bullish entry/LG SMA crossover SH SMA = Bearish entry
//3) Use the Slope factor & Weeks in Trend (WiT) to dertermine how strong of an entry signal you are comfortable with
//4) Exit position based on next SMA cross and trend reversal or stop loss%
//3+1) For added confidence in trend detection: Apply MACD check - buy--> MACD line above signal line and corssover below histogram \\ sell --> MACD line below signal line and crossover above histogram.
//*)This code also allows you to determine your desired backtesting date compliments of alanaster
The chart shown has:
Starting Capital: $10,000
Investment percent per trade: 1.5%
Stop Loss: 20%
Take Profit: 100%
