Tradespot Horizon - Strategy & AlertsTradespot - Horizon is a long term trading algorithm that is run at Tradespot to generate consistent performance in all market conditions. Backtests show performance remains consistent in both bull and bear markets dated back to 2015 and has the capabilities to be utilitised in both spot trading or using low leverage (e.g. 3X).
The default settings are built for BTCUSD 8H. Just plug and play, no configuration needed to achieve the exact backtest displayed above.
Features:
Trade following signals generated via our bespoke algorithm
Full customisation to allow a deeper use of the indicator across different assets
Full risk management with take profit and stop loss levels (configurable) built in
Preset for BTCUSD on the 8H timeframes avaliable instantly for your use.
Cornix compatible alerts - with the easiest of configurations you can automate this execution of this strategy.
More features being added all the time, we have great ideas and our only limitation is how fast we can program it.
Can I get a free trial?
Yes! Get in touch for a complimentary 24 hour free trial to the indicator, no strings attached.
Who are you?
Tradespot has been creating scripts for years on TradingView that we use to leverage our social trading and signal group offerings. We currently have over $200K in assets trading with our strategies across over 300 users.
You can learn more about us on our website or DM me directly. Please reach out to me or see the link on our profile.
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[GM ELITE] Dynamic_Introduction
This is the first of the GM ELITE indicator range. Designed for Algorithmic Traders looking to speed up their process of testing and optimizing their algorithm. This script contains an entire suite of indicators, that work together in unison to find optimal trade entries, based on NNFX rules. There are two versions of this script. One is a strategy and built in back-tester, and the other will update in real time designed for live trading and forward testing.
This script is for live trading/forward testing.
Entries/Exits
The System has 5 indicator slots, and the user can choose one indicator per slot
- Trend Confirmation Indicators to pick when the market has taken off
- Volume and volatility Indicators to determine the strength of the trend or whether the market is ranging.
- Moving Averages for trend bias
- Exit Indicators to signal when to get out!
Money Management
Dynamic allows you to choose your Stop Loss and Take Profit distance based on a multiplier x ATR.
Options to exit the whole trade at TP or at a signal from the exit indicator of your choosing.
Start and End times (Window) to backtest.
Forex - $EVZ
Euro Volatility FX Vix ( aka $EVZ) is built in. You can toggle a filter for low $EVZ or whether or not EVZ is above average. No signals will be given if EVZ is below threshold. EVZ is one of the best indicators of overall forex market volume and volatility .
Customization
Several visual and color customization options. Thousands of possible parameter combinations.
The "bias" or mode of the Confirmation Indicators appears at the top and bottom of the screen as horizontal rows of triangles.
For any two-line Indicator (eg MACD ) if the fast line is above the slow line, the triangles are green, other-wise, they are red.
For any "Level Cross" indicator, when the line is above the level, the triangles are green, otherwise, they are red.
The Arrows at the bottom of the screen determine whether or not there is sufficient volume
[GM ELITE] Dynamic Introduction
This is the first of the GM ELITE indicator range. Designed for Algorithmic Traders looking to speed up their process of testing and optimizing their algorithm. This script contains an entire suite of indicators, that work together in unison to find optimal trade entries, based on NNFX rules. There are two versions of this script. One is a strategy and built in back-tester, and the other will update in real time designed for live trading and forward testing.
Entries/Exits
The System has 5 indicator slots, and the user can choose one indicator per slot
- Trend Confirmation Indicators to pick when the market has taken off
- Volume and volatility Indicators to determine the strength of the trend or whether tha market is ranging.
- Moving Averages for trend bias
- Exit Indicators to signal when to get out!
Money Management
Dynamic allows you to choose your Stop Loss and Take Profit distance based on a multiplier x ATR.
Options to exit the whole trade at TP or at a signal from the exit indicator of your choosing.
Start and End times (Window) to backtest.
Forex - $EVZ
Euro Volatility FX Vix (aka $EVZ) is built in. You can toggle a filter for low $EVZ or whether or not EVZ is above average. No signals will be given if EVZ is below threshold. EVZ is one of the best indicators of overall forex market volume and volatility.
Customization
Several visual and color customization options. Thousands of possible parameter combinations.
The "bias" or mode of the Confirmation Indicators appears at the top and bottom of the screen as horizontal rows of triangles.
For any two-line Indicator (eg MACD ) if the fast line is above the slow line, the triangles are green, other-wise, they are red.
For any "Level Cross" indicator, when the line is above the level, the triangles are green, otherwise, they are red.
The Arrows at the bottom of the screen determine whether or not there is sufficient volume
Out of the Box
The Indicators and parameters out of the box are chosen based on defaults. Please optimize for the market that you trade.My recommendation is to paper trade once you have found a combination of settings with good back-testing results, and have different settings for different markets, as not all markets behave in the same manner.
Profitable Jurik RSXIntroduction
As you know the Jurik RSX is a "noise free" smoothed version of RSI (Relative Strength Index), with no added lag.
It was originally developed by Mark Jurik and is used the same way as RSI. To learn more about this indicator see www.jurikres.com
The most basic and common strategy is to use the crossovers between Jurik RSX and its overbought/oversold levels as trade signals:
when RSX crosses above 30, go Long
when RSX crosses below 70, go Short
exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for Jurik RSX. It analyzes the range of periods between 2 to 100 and backtests the Jurik RSX for each period (using the strategy mentioned above) across the entire history of an instrument. If the more profitable parameter was found, the indicator will switch its value to the found one immediately.
So, instead of manually selecting parameters just apply it to your chart and relax - the algorithm will do it for you, everywhere you want.
The algorithm can work in two modes: Basic and Early Switch. The Early Switch algorithm makes some assumptions and activates a set of optimizations to find a better setting DURING the trades, not after they were actually closed.
The difference is illustrated on the screenshot below
But two modes can show identical values depending on timeframe
Additionally you can set up a backtest window through indicator's settings (the optimizers which were published before will get this feature soon).
Alerts
It has a special alert that notifies when a more profitable period was detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Profitable RSI (Relative Strength Index)Introduction
As you know the Relative Strength Index (RSI) was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It is intended to measure the strength or weakness of an instrument for the specified period.
The most basic strategy is to use the crossovers as trade signals:
when RSI crosses above 30, go Long
when RSI crosses below 70, go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for RSI. It analyzes the range of periods between 2 to 100 and backtests the RSI for each period using the strategy mentioned above across the entire history of an instrument. If the more profitable parameter was found, the indicator will switch its value to the found one immediately.
So, instead of manually selecting parameters just apply it to your chart and relax - the algorithm will do it for you.
The algorithm can work in two modes: Basic and Advanced "Early Switch" . The Early Switch algorithm makes some assumptions and activates a set of optimizations to find the better setting DURING the trades, not after they were closed.
The difference is illustrated on the screenshot below:
Additionally you can set up a backtest window through indicator's settings (the optimizers which were published before will get this feature soon).
Alerts
It has a special alert that notifies when a more profitable period was detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Day after day. Night after night.
I've been waiting to program again.
Day after day. Night by to night.
Trading is waiting inside your heart.
Profitable AroonIntroduction
The Aroon indicator was developed by well-known technical analyst Tushar Chande in 1995 and is used to identify trend changes in the price of an asset, as well as the strength of that trend. The fact that he named the indicator "Aroon" which is Sanskrit for "Dawn’s Early Light" demonstrates his belief in his indicator's trend discovery capabilities.
It is composed of two lines, Aroon Up and Aroon Down .
The most basic strategy is to use the crossovers as trade signals:
when Aroon Up crosses above Aroon Down , go Long
when Aroon Down crosses above Aroon Up , go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable period setting for the Aroon. It analyzes the range of periods between 2 to 100 and backtests the Aroon indicator for each period using the strategy mentioned above across the entire history of an instrument. If a more profitable parameter was found, the indicator will switch its value to the found one immediately.
Alerts
It has an alert that notifies when a more profitable period was found.
NOTE : It does not change what has already been plotted.
Good luck and Happy Trading!
PGT: Pretty Good TraderLittle bit of background :
I am a broke college student on the East coast, and I have developed a hobby for creating trading algorithms. This is one of the better scripts that I have written. Unfortunately, as a broke college student, I don't have the disposable income to actually trade using real money. If you are interested in donating to my broke college student fund, please message me!
On to the script :
This script was written in pine version 3 and does not calculate_on_tick . This means that it does not repaint . The numbers you see are, to the best of my knowledge, accurate.
Because most scripts tend to overfit data to generate the "best looking data", I decided to create an algorithm that would be generalizable as possible to a diverse number of trading pairs. This script works on both crytpo markets(works best on smaller time frame) and stock markets(works best on larger time frames).
I am publishing this script to both gauge and generate interest in a Python trading bot which I have written which automatically buys and sells on different exchanges by using the predictive signals of this indicator.
Swing [SMRT Algo]The SMRT Algo Swing indicator is a tool tailored for swing trading, designed to provide traders with insights and entry points on higher timeframes, such as the 1-hour (1H) chart and above. This indicator incorporates a range of features to enhance both trend identification and risk management.
Features:
Bar Colors: The indicator employs a straightforward color-coding system to denote market trends: red bars indicate a bearish trend, and green bars indicate a bullish trend. This immediate visual representation aids traders in quickly discerning the prevailing market direction, facilitating swift decision-making.
Buy & Sell Signals: SMRT Algo Swing generates distinct buy and sell signals categorized into two levels, weak and strong.
- Weak Signals: These signals are generated when the basic entry criteria are met. They serve as early alerts to potential trading opportunities, suitable for traders willing to take on more risk or those employing a more aggressive trading strategy.
- Strong Signals: Generated when additional, more stringent conditions are satisfied, these signals indicate higher-probability trade setups.
EMA Filter: The Exponential Moving Average (EMA) filter is a feature that facilitates trend trading. When turned on, the filter ensures that only signals that align with the prevailing trend are displayed. This helps in avoiding counter-trend trades, which can be riskier and less reliable. The EMA length is customizable, allowing traders to adjust the sensitivity of trend detection based on their trading style and market conditions.
Take Profit & Stop Loss Levels: TP & SL levels are pre-calculated based on a risk-reward ratio:
- TP1: Indicates a conservative 1:1 risk-reward ratio, suitable for quick profit-taking. Goes up to TP3. This approach to TP and SL can help traders define their risk exposure clearly and set realistic profit targets.
Strong signals are designed to provide highly accurate entry points, often referred to as "sniper entries," due to their precision in aligning with market trends. The option to display weak, strong, or both types of signals allows traders to tailor the indicator to their specific trading preferences and risk profiles.
Input Settings:
Bar Color: Bar colors can be turned on/off. Green candles show a bullish market/trend, while red candles show bearish.
Signal: Choose to show either only Strong/Weak/Both buy & sell signals.
Lookback Period: The higher the lookback period, the less frequent the signals. Adjusting this value affects the frequency of the buy sell signals.
EMA Filter: Trend filter can be turned on/off. If on, it will only show buy signals that are above the EMA, and sell signals that are below the EMA.
Timeframe: EMA timeframe can be adjusted, i.e. to view higher timeframe trends.
Length: Used to adjust EMA length. A smaller value means that EMA is more susceptible to market movements.
TP/SL: The take profit & stop loss zones can be turned on/off. The size of TP/SL can also be adjusted by increasing or decreasing the multiplier and length values.
EMA Filter Off:
EMA Filter On:
We recommend traders use this indicator on timeframes 1H and above, with the goal of holding trades over a longer period of time (days, weeks, months) to maximize the market moves.
The integration of these features ensures that the SMRT Algo Swing indicator functions as a cohesive and robust tool for swing traders. The color-coded bars provide an at-a-glance trend overview, which is crucial for context. The buy/sell signals, especially the strong signals, offer entry points that are carefully vetted by the indicator's algorithms. The EMA filter adds a layer of trend confirmation, ensuring that trades are not only timely but also in line with the broader market trend, thereby enhancing the likelihood of success. The TP and SL levels serve as a built-in risk management system, guiding traders on optimal exit points and helping to protect against significant losses.
The SMRT Algo Suite, which the Swing indicator is a part of, offers a comprehensive set of tools and features that extend beyond the capabilities of standard or open-source indicators, providing significant additional value to users.
What you also get with the SMRT Algo Suite:
Advanced Customization: Users can customize various aspects of the indicator, such as toggling the confirmation signals on or off and adjusting the parameters of the MA Filter. This customization enhances the adaptability of the tool to different trading styles and market conditions.
Enhanced Market Understanding: The combination of pullback logic, dynamic S/R zones, and MA filtering offers traders a nuanced understanding of market dynamics, helping them make more informed trading decisions.
Unique Features: The specific combination of pullback logic, dynamic S/R, and multi-level TP/SL management is unique to SMRT Algo, offering features that are not readily available in standard or open-source indicators.
Educational and Support Resources: As with other tools in the SMRT Algo suite, this indicator comes with comprehensive educational resources and access to a supportive trading community, as well as 24/7 Discord support.
The educational resources and community support included with SMRT Algo ensure that users can maximize the indicators’ potential, offering guidance on best practices and advanced usage.
SMRT Algo believe that there is no magic indicator that is able to print money. Indicator toolkits provide value via their convenience, adaptability and uniqueness. Combining these items can help a trader make more educated; less messy, more planned trades and in turn hopefully help them succeed.
RISK DISCLAIMER
Trading involves significant risk, and most day traders lose money. All content, tools, scripts, articles, and educational materials provided by SMRT Algo are intended solely for informational and educational purposes. Past performance is not indicative of future results. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
Spot Martingale KuCoin - The Quant ScienceINTRODUCTION
Backtesting software of the Spot Martingale algorithm offered by the KuCoin exchange.
This script replicates the logic used by the KuCoin bot and is useful for analyzing strategy on any cryptocurrency historical series.
It's not intended as an automatic trading algorithm and does not offer the possibility of automatic order execution.
The trader will use this software exclusively to research the best parameters with which to work on KuCoin.
LOGIC OF EXECUTION
The execution of orders is composed as follows:
1) Start Martingale: initial order
2) Martingale-Number: orders following Start Martingale
(A) The software is designed and developed to replicate trading without taking into account technical indicators or particular market conditions. The Initial Order (Start Martingale) will be executed immediately the close of the previous Martingale when the balance of market orders is zero. It will use the capital set in the Properties section for the initial order.
(B) After the first order, the software will open new orders as the price decreases. For orders following Start Martingale, the initial capital, multiplier, and number of orders in the exponential growth context are considered. The multiplier is the factor that determines the proportional increase in capital with each new order. The number of orders, indicates how many times the multiplier is applied to increase the investment.
Example
To find out the capital used in Martingale order number 5, with a Multiple For Position Increase equal to 2 and a starting capital of $100, the formula will be as follows:
Martingale Order = ($100 * (2 * 2 * 2 * 2 * 2)) = $100 * 32 = $3.200
(C) A multiplier is used for each new order that will increase the quantity purchased.
(D) All previously open orders are closed once the take profit is reached.
USER MANUAL
The user interface consists of two main sections:
1. Settings
Percentage Drop for Position Increase (0.1-15%) : percentage distance between Martingale orders. For example, if you set 5% each new order will be opened after a 5% price decrease from the previous one.
Max Position Increases (1-15) : number of Martingale orders to be executed after Start Martingale. For example, if you set 10, up to10 orders will be opened after Start Martingale.
Multiple For Position Increase (1-2x) : capital multiplier. For example, if you set 2 each for each new order, the capital involved will be doubled, order by order.
Take Profit Percentage (0.5-1000%) : percentage take profit, calculated on the average entry price.
2. Date Range Backtesting
The Date Range Backtesting section adjusts the analysis period. The user can easily adjust the UI parameters, and automatically the software will update the data.
LIMITATIONS OF THE MODEL
Although the Martingale model is widely used in position management, even this model has limitations and is subject to real risks during particular market conditions. Knowing these conditions will help you understand which asset is best to use the strategy on.
The main risks in adopting this automatic strategy are 2:
1) The price falls below our last order.
It happens during periods of strong bear-market in which the price collapses abruptly without experiencing any pullback. In this case the algorithm will enter a drawdown phase and the strategy will become a loser. The trader will then have to consider whether to wait for a price recovery or to incur a loss by manually closing the algorithm.
2) The price increases quickly.
It happens during periods of strong bull-market in which the price rises abruptly without experiencing any pullback. In this case the algorithm will not optimize order execution, working only with Start Martingale in the vast majority of trades. Given the exponential nature of the investment, the algorithm will in this case generate a profit that is always less than that of the reference market.
The best market conditions to use this strategy are characterized by high volatility such as correction phases during a bull run and/or markets that exhibit sideways price trends (such as areas of accumulation or congestion where price will generate many false signals).
FEATURES
This script was developed by including features to optimize the user experience.
Includes a dashboard at launch that allows the user to intuitively enter backtesting parameters.
Includes graphical indicator that helps the user analyze the behavior of the strategy.
Includes a date period backtesting feature that allows the user to adjust and choose custom historical periods.
DISCLAIMER
This script was released using parameters researched solely for the BTC/USDT pair, 4H timeframe, traded on the KuCoin Exchange (2017-present). Do not consider this combination of parameters as universal and usable on all assets and timeframes.
Universal Algorithm [BackQuant]Universal Algorithm
It is a trading strategy designed CLEAR TREND DETECTION . This script is the culmination of extensive research and development efforts aimed at providing traders with a robust tool capable of adapting to a wide array of market conditions. This description delves into the core components, methodologies, and operational parameters of Universal Algo to offer potential users a clear understanding of its functionalities and the principles underpinning its design.
Core Methodologies and Features:
Integrated Systems: Universal Algo is built around six core systems, each contributing unique analytical perspectives to enhance trade signal reliability. These systems are designed to identify clear trend opportunities for significant gains, while also employing logic to navigate through ranging markets effectively.
Adaptive Market Logic: By incorporating volatility metrics, the algorithm dynamically adjusts to changing market conditions. This ensures that the strategy remains effective across different market regimes, aiming to reduce market noise and improve signal quality.
Selective Shorting Mechanism: While the primary focus is on capturing long positions, it includes an optional shorting feature. This can be activated by users to adapt the strategy during macro downtrends, thus providing a flexible approach to market participation.
Backtesting and Forward-Testing Rigor : The strategy has undergone rigorous testing to validate its performance and reliability. It demonstrates prudent risk management by optimizing conditions under which short positions are considered, aiming to mitigate drawdowns and preserve capital.
Operational Parameters:
Customization Options: The script offers a range of user inputs, allowing for customization of the backtesting starting date, the decision to display the strategy equity curve, among other settings. These inputs cater to diverse trading needs and preferences, offering users control over their strategy implementation.
Transparency and Logic Insight: While specific calculation details and proprietary indicators are integral to maintaining the uniqueness of Universal Algo , the strategy is grounded on well-established financial analysis techniques. These include momentum analysis, volatility assessments, and adaptive thresholding, among others, to formulate its trade signals.
Realistic Trading Conditions : Backtesting, considered realistic trading conditions, including appropriate account size, commission, slippage, and sustainable risk levels per trade. The strategy is designed and tested with a focus on achieving a balance between risk and reward, striving for robustness and reliability rather than unrealistic profitability promises.
Concluding Thoughts:
Universal Algo is offered to the TradingView community as a tool for traders seeking to enhance their market analysis and trading strategies. Its development is driven by a commitment to quality, innovation, and adaptability, aiming to provide valuable insights and decision-support in various market conditions. Potential users are encouraged to evaluate Universal Algo within the context of their overall trading approach and objectives.
Grid Spot Trading Algorithm V2 - The Quant ScienceGrid Spot Trading Algorithm V2 is the last grid trading algorithm made by our developer team.
Grid Spot Trading Algorithm V2 is a fixed 10-level grid trading algorithm. The grid is divided into an accumulation area (red) and a selling area (green).
In the accumulation area, the algorithm will place new buy orders, selling the long positions on the top of the grid.
BUYING AND SELLING LOGIC
The algorithm places up to 5 limit orders on the accumulation section of the grid, each time the price cross through the middle grid. Each single order uses 20% of the equity.
Positions are closed at the top of the grid by default, with the algorithm closing all orders at the first sell level. The exit level can be adjusted using the user interface, from the first level up to the fifth level above.
CONFIGURING THE ALGORITHM
1) Add it to the chart: Add the script to the current chart that you want to analyze.
2) Select the top of the grid: Confirm a price level with the mouse on which to fix the top of the grid.
3) Select the bottom of the grid: Confirm a price level with the mouse on which to fix the bottom of the grid.
4) Wait for the automatic creation of the grid.
USING THE ALGORITHM
Once the grid configuration process is completed, the algorithm will generate automatic backtesting.
You can add a stop loss that destroys the grid by setting the destruction price and activating the feature from the user interface. When the stop loss is activated, you can view it on the chart.
New York Happy HourNew York Happy Hour
Script inspired by Stacey Burke’s 'Trading New York Open 1 Hour a Day'. You know where to search. The algos run on New York time. You’ll be looking to trade from 9.30 AM NY EST using a full day of trading data behind you.
Instruments:
- Gold, major currency pairs, indexes, metals and crypto
Timing: 15 Min
Best Trade Setups:
- 3 Levels (HOD/LOD)
- Trend Trades
- Reversal Trades
- Trading Range
- Or what you see best fit
Script Breakdown:
Sessions:
Asia: 8-11 PM
London: 2-5 AM
New York: 8-11 AM
Other lines:
New York Midnight Open
New York Open
London and NY vertical lines
Previous daily and weekly high and low
vStrat Algo 1.0 (BETA)vStrat Algo 1.0
The Very First Scalping/Intraday Trading Algo for Options
Note: If you have any favorite indicators that you use regularly and are helpful, feel free to use them in conjunction to this strategy.
Legend:
long = buy call
short = buy put
close entry = sell call/put
BULL = bullish engulfing
BEAR = bearish engulfing
OS = oversold
OB = overbought
Instructions:
1. You can choose to watch the 3 minute or 5 minute chart but be aware of the Pro’s and Con’s. It’s not recommended to use this strategy on the 1 minute chart, but this works on higher timeframes. Keep in mind that the signals will vary on each timeframe.
3 minute 5 minute
i.ibb.co i.ibb.co
2. It’s best to use this strategy right at market open. If a “long” (buy CALLS) or “short” (buy PUTS) signal was given at pre-market, I do not recommend taking it. Only take signals once the market opens. If you really wish to take the signal that was given 1-5 minutes before the market opened, you most definitely can, but its’s just riskier. What I would do is, wait 3-10 minutes after market open and if one Moving Average is respecting the other and holding above or below it, you can enter especially if the blow is bullish, the vStrat Algo 1.0 will also tell you if the candles are bearish or bullish. Use your best judgement.
i.ibb.co [
3. You do not have to wait for the exit signal, everyone's risk management is different so take profits whenever you're green or hold as long as the short-term MA is still trending above or below the long-term MA and is not touching or bouncing off it.
i.ibb.co
4. Avoid taking any signals from 11:30 AM ET - 2:30 PM ET, when stocks are trading sideways since the algo’s stop losses get triggered here due to the low volume.
i.ibb.co
5. Lastly, there is no magic indicator or strategy, this algorithm is designed based on multiple conditions. Each signal gets triggered when ALL the conditions are met. This strategy is based off advanced moving averages, one that reduces lag and responds quicker than the simple and exponential ones, RSI value, S/R, pivot points, and a few others. I’m always looking for ways to improve this scalping algorithm so rest assured any complaints or suggestions will be taken and fixed as timely as possible. For best results, avoid trading with your emotions. If you’re a new user, open a small position, set a stop loss, and let the algorithm decide how you will trade it for that day. Keep doing this until you get more familiar with the script then slowly increase your position sizing, but do not invest money you can’t afford to lose. Play with the settings, change the lengths if you wish, but the script was created to provide the most accurate signals as it is. If you do decide to change these inputs, the signals will also be different. Take profits whenever you see fit, the goal is to have a green day and grow your account slowly but surely. If you make a profit, do not risk giving your money back to the market by overtrading. Always do your own due diligence and use your best judgement. Good luck, Traders!
DISCLAIMER : All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed, or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice. While the information provided is believed to be accurate, it may include errors or inaccuracies. Conduct your own due diligence or consult a licensed financial advisor or broker before making any and all investment decisions. Any investments, trades, speculations, or decisions made on the basis of any information found on this site, expressed, or implied herein, are committed at your own risk, financial or otherwise.
Ichimoku Cloud Strategy Long Only [Bitduke]Slightly modificated and optimized for Pine Script 4.0, Ichimoku Cloud Strategy which, suddenly, good suitable for the several crypto assets.
Details:
Enter position when conversion line crosses base line up, and close it when the opposite happens.
Additional condition for open / close the trade is lagging span, it should be higher than cloud to open position and below - to close it.
Backtesting:
Backtested on SOLUSDT ( FTX, Binance )
+150% for 2021 year, 8% dd
+191% for all time, 32% dd
Disadvantages:
- Small number of trades
- Need to vary parameters for different coins (not very robust)
Should be tested carefully for other coins / stock market. Different parameters could be needed or even algo modifications.
Strategy doesn't repaint.
ApexBull Algorithmic IndicatorOfficial ApexBull ALL IN ONE Algorithm - Swing and Short Term Indicator!
Description:
A new indicator that provides algorithmic entries for longer term swing trading to intraday traders and scalpers. You choose what time frame to trade!
Built-in features allow to separate signals for both longer and shorter term time frames with algorithm using different settings for each to take advantage of short term moves in more aggressive markets, as well as, give you more conservative, more reliable swing trades for longer term investment horizons. Works on anything from monthly to 1 minute charts. We found that most traders should start with 4 and 1 hour time frames with more conservative settings enabled and then venture out into more aggressive territory.
Algorithm is set to target trending movements and ensure you stay out from whipsaw conditions.
The indicator also features a built-in STOP LOSS levels so you dont have to wonder anymore how close or far to set your stop loss and not to be whipsawed out of your winning trades.
If you would like to try out our indicator please send me a direct message here.
Autonomous LSTM [Noldo] Structure
Feature Layer 1 : Formulation :
The Autonomous LSTM adaptive period equation is a multivariate equation created by averaging a table based on market weights and optimizing it for each time period, by specially Artificial Neural Networks (ANN) training and taking note of the instruments chosen from Foreign exchange instruments, Stock markets , Futures and Commodities , Interest Rates and Yields all over the Global Markets.
Market weights and liquidities were taken into consideration and included in the calculations.
Feature Layer 2: Forecast Algorithm :
When we apply only the first item, we only get the buy and sell signals in reverse.
In other words, since we measure the expectation, the positive signal informs the bear market and the negative scenario informs the bull market.
If we only act according to the expectations market, our system will be very sensitive.
When we associate this with real prices, both our accuracy increases and the reverse market returns to the normal market.
In other words, as in the indicators with standard average, the upward crosses are buy and the downward crosses are sell signal.
Examples:
a -) The normal deep learning script (ANN), which is only created according to expectations:
Unlike standard market, it gives reverse signals.
Original script :
b-) Script with Forecast Algorithm but it only uses valid and standard periods for certain instruments :
Original script :
Feature Layer 3 : Composite of Two Layers : Adaptive Period (Length) Algorithm
This layer is the most important layer.
Outputs the period.
It adjusts itself to market conditions and provides a more agile trading environment under all circumstances.
Display of smart period function and standard period :
Where the market is stagnant, the period increases automatically and reduces unnecessary trade, while in trendy markets the period decreases automatically and allows to see positions first.
The degree of stagnation of the instrument concerned is not calculated solely by volatility.
We may perceive this in relation to several factors, but yes volatility is one of these factors.
When we put the script system under the MACD (Moving Average Convergence Divergence) roof, I did the tests.
Where both averages were positive, they could report accurate harsh trend news, or vice versa.
But I decided to give it up and put it on the Stochastic Money Flow Index .
First of all , Stochastic Money Flow Index function takes the volume into account.
The reason for this is a very important factor, which is naturally contained in the structure of High - Low conditions related codes.
And by using this factor, it could be superfast adaptive in both stagnant and trendy markets.
Feature Layer 4 : High - Low Selection Algorithm
The High-Low Selection Algorithm does not depend on a specific period but scans all periods backwards.(Lookback Function - Lkb )
Outputs the lowest or highest values in the specified new period.
This algorithm was written by me with the concern that if everyone trades according to the same threshold values, it will cause problems and choosing between values of the whole period length will slow down the signals.
This algorithm consists of two functions.
a - Lkb (Lookback Function) :
The lookback function scans back all periods from 0 to Smart Period bars at the same time.
In order to show the effect of the function, it was done between 0 and 84 bars.
However, the scan period of the function is normally at the same time: 0 to adaptive period time.
If the adaptive period includes a fractional day, it can also scan it.
There is no need to be an integer.
All functions are written to make mutable variables appropriate.
And what this function will scan depends on the second feature.
The special selection algorithm is in this function.And the output is given in this function.
b-) High - Low Selection Algorithm
Outputs the lowest or highest values in the specified new period.
This function allows you to select the most advantageous low or high values, even though the adaptive period remains the same.
And the signals are even more accurate.
This is a comparison of the High-Low selection algorithm and the Function: Stochastic Money Flow Index in the standard period.
For the codes of the Stochastic Money Flow Index function:
Speed may not be clear here.
So let's take a look at on chart.
So I would like to show a comparison values of the standard and special selection algorithms on Standard Highest - Lowest Function (All effort goes to RicardoSantos)
Note: This function is the standard function and freed from integer loads.
Blue = Function Highest - Lowest (length = 10 )
Yellow = Smart High-Low Selection Algorithm (length = 10 )
You can better observe the different results in the same period on the chart.
***
4 layers are interdependent.
And when the inter-layer operations are completed, output is given.
*** - Usage of Autonomous LSTM
Plot Rules
Blue Zones = Crossover condition where the average of long and short lines is less than 50.
Orange Zones = Crossunder condition where long and short lines averages more than 50.
Green Zones = Crossover condition where the average of long and short lines is greater than 50.
Red Zones = Crossunder condition where long and short lines averages less than 50.
*** Autonomous LSTM Settings :
It is just the barcolor to be colored according to the crossover and crossunder conditions or not (I / 0) option.
*** Autonomous LSTM Alerts :
As an alert, it only reports crossover and crossunder status as "Long Signal" and "Short Signal" as a warning after the first bar closure.
*** CONCLUSION :
Autonomous LSTM Designed to be used in any time frame.
Does not repaint in any time frame.
Script is independent of constant coefficients.No period adjustment is necessary.
Each layer transfers the information in its own layer to the next layer and the results are reflected in the Stochastic Money Flow Index function built on the resultant.
Regards.
Profitable MAMA & FAMA CrossoverIntroduction
The MESA Adaptive Moving Average (MAMA) was originally presented by John F. Ehlers. By design, it is a special kind of Exponential Moving Average with self-adjusting alpha. Its adaptation is based on the rate change of phase as measured by the Homodyne Discriminator and the alpha parameter is allowed to range between a maximum and minimum value (Fast Limit and Slow Limit).
Key Point: Ehlers suggested the maximum value to be 0.5 and the minimum to be 0.05 .
The variable alpha is computed as the Fast Limit divided by the phase rate of change. If the phase rate of change is large, the variable alpha is bounded at the SlowLimit. Then, this alpha is used to compute MAMA and FAMA (Following Adaptive Moving Average).
Should we rely on Ehlers' suggestions if we want to achieve the best result with MAMA & FAMA crossover system?
Well, he is a good specialist and widely recognized author, I respect him, but the answer is no and you can see results on the chart.
What is our goal?
We want to find the best configuration for MAMA & FAMA Crossover. To achieve that we need to analyze the MAMA's alpha parameter or, more specific, the bounds for this parameter, Fast and Slow Limits.
What is this tool?
This tool is a performance optimizer that uses decision tree-based algorithm under the hood to find the most profitable settings for the MAMA & FAMA Crossover. It analyzes a bunch of different Fast Limits (between 0.01 to 0.8 with step of 0.1 ) and Slow Limits (between 0.01 to 0.6 with step of 0.1 ) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
So, instead of manually selecting and testing parameters just apply this indicator to your chart and
relax - the algorithm will find the best parameters for you
Alerts
It has a special alert that notifies when the more profitable settings were detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Reference: www.mesasoftware.com
MAMA & FAMA Crossover can be found here:
Profitable SuperTrendIntroduction
I was faced with the fact that many authors contradicted each other about the indicator settings. Each trader offers his(her) own settings, without having an evidence base. Therefore, I decided to make an algorithmic optimizer.
What is this tool?
This tool is a performance optimizer that uses a decision tree-based algorithm under the hood to find the most profitable settings for the SuperTrend indicator. It analyzes a bunch of different ATR Periods (between 3 to 45 ) and ATR Multipliers (between 1 to 8 with a decimal step of 0.1 ) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
Instead of manually selecting parameters, just relax - the algorithm will do it for you.
Alerts
It has an alert that notifies when the more profitable settings were found.
NOTE: It does not change what has already been plotted before.
NOTE 2: The implementation of the SuperTrend indicator I used can be found here
Trend Precognition - Mtrl_Scientist (arrow-only)Hey everybody,
Per request, I'm also adding the arrow-version to the updated base algorithm.
However, I advise everyone to also add the indicator version that I published previously.
tabbys star [Algo Seeker]Tabbys Star Mission:
Identifying key supply and demand areas for entries, identifying trends for holding positions, and locating potential re-entry or exit points is incredibly useful for traders and investors. This algorithm is designed to simplify these critical processes by providing actionable and intuitive tools directly on the chart.
🟢 Supply & Demand Zones (S&D)
The algorithm identifies key entry points by creating supply and demand blocks that automatically expand across the chart. These blocks remain active until invalidated, helping traders maintain awareness of significant price levels. When a new pivot point is identified, the algorithm generates a new supply or demand block that starts expanding from that pivot. This functionality enables traders to monitor evolving zones while referencing older ones, which might still act as weaker pivot points. These areas are incredibly unique and useful for traders, as they dynamically adapt to price action and provide clear visual cues for decision-making.
🟢 Continuation and Exit Signals
The algorithm also highlights areas for potential re-entries or exits. When the price moves beyond a supply or demand block, arrows are displayed to signal that this area may now be optimal for re-entering a trade or exiting a position.
Separating this logic from supply and demand zones offers significant flexibility for traders. For example, those who wish to hold positions initiated at an order block can confidently wait for these signals before taking profits. Similarly, traders who missed the initial opportunity at an order block can use these signals to evaluate new trade opportunities. This feature is incredibly useful for adapting to evolving market conditions.
🟩 Important Note
Arrow/triangle signals are not definitive indicators of upward or downward movement; they serve as calls to attention. These signals should be analyzed in conjunction with supply and demand zones.
For example, if a signal suggests bullish movement but the price falls below the current supply or demand zone, the signal was merely a call to attention. In such cases, it may indicate the need to set a stop loss or even consider a bearish trade below the zone.
Signals should be viewed as one of several factors to consider and should never be traded on in isolation.
🟢 Trendlines for Additional Confluence
In addition to supply and demand zones, the algorithm generates trendlines to help traders better visualize market trends. These trend lines are drawn from pivot points within the supply and demand blocks, providing an additional layer of confluence. For traders who rely on trendline breaks to make decisions, this feature enhances the overall analysis and adds value to the trading strategy.
🟢 Candle Color Coding
To further enhance clarity, the algorithm color-codes candles based on their position relative to the most recent order block:
Bullish: When the price is above the most recent order block.
Neutral: When the price is within the order block.
Bearish: When the price is below the order block.
This color-coding offers a unique and useful visual representation of the current market sentiment, allowing traders to assess price action at a glance.
Settings Overview
🟢Calculation Strength
This setting allows the user to choose how strict the algorithm should be when calculating data. The Standard option generates more entry and exit signals because the calculations are more lenient.. The Restrictive option uses stricter calculations, resulting in fewer signals for entries and exits.
🟢Use Current Bar:
If checked, the conditions will act on the current bar (real-time updates). If unchecked, the conditions will act after the bar closes. For a non-repainting indicator, leave this unchecked.
🟢Session Type:
Both:
Includes market and after-market hours.
RTH:
Regular trading hours only.
🟢Max Trend Lines:
"1": No trend lines will be shown.
"2" or higher: Displays trend lines based on pivot points.
🟢Bar Color:
Allows selection of candle colors based on the parameters discussed above.
🟢Signal Colors:
As described earlier.
🟢Alerts
For when a signal is created.
Conclusion
This tool is designed to hopefully assist investors and traders by:
Identifying key supply and demand areas for entries.
Highlighting trends for holding positions.
Pinpointing potential re-entry or exit points.
Universal Algo [Coff3eG]Universal Algo By G
Overview:
Universal Algo By G is a comprehensive LONG-ONLY trading strategy specifically designed for medium to long-term use in cryptocurrency markets, particularly Bitcoin. This algorithm can be manually adjusted to fit the volatility of specific coins, ensuring the best possible results. While it does not generate a large number of trades due to the nature of bull and bear market cycles, it has been rigorously backtested and forward-tested to ensure the strategy is not overfitted.
Core Features:
Integrated Systems: Universal Algo is built around five core systems, each contributing unique analytical perspectives to enhance trade signal reliability. These systems are designed to identify clear trend opportunities for significant gains while also employing logic to navigate through ranging markets effectively.
Optional Ranging Market Filter: Helps filter out noise, potentially enhancing signal clarity.
Market State Detection: Identifies four distinct market states:
Trending
Ranging
Danger (Possible top)
Possible Bottom
Global Liquidity Indicator (GLI) Integration: Leverages GLI values to identify positive liquidity trends.
Volatility Bands: Provides insights into market volatility.
Top and Bottom Detection: Shows possible bottoms with green backgrounds and red backgrounds for possible top detection.
The Market State Detection, GLI, Volatility Bands, and Top and Bottom Detection feature all serve as an expectation management feature.
Additional Features:
Optional Metrics Table: Displays strategy metrics and statistics, providing detailed insights into performance.
Customization Options: The script offers a range of user inputs, allowing for customization of the backtesting starting date, the decision to display the strategy equity curve, among other settings. These inputs cater to diverse trading needs and preferences, offering users control over their strategy implementation.
Operational Parameters:
Customizable Inputs: Users can adjust thresholds to match the coin's volatility, enhancing strategy performance.
Transparency and Logic Insight: While specific calculation details and proprietary indicators are integral to maintaining the uniqueness of Universal Algo, the strategy is grounded on well-established financial analysis techniques. These include momentum analysis, volatility assessments, and adaptive thresholding, among others, to formulate its trade signals. Notably, no single indicator is used in isolation; each indicator is combined with another to enhance signal accuracy and robustness. Some of the indicators include customized versions of the TEMA, Supertrend, Augmented Dickey-Fuller (ADF), and Weekly Positive Directional Movement Index (WPDM), all integrated together to create a cohesive and effective trading strategy.
System Operation:
Universal Algo works by taking the average score of the five core systems used for the signals. Three of these systems have been lengthened out to function as longer-term systems, while the remaining two operate at a slightly faster speed. This combination and averaging of systems help to balance the overall strategy, ensuring it maintains the right amount of speed to remain effective for medium to long-term use with minimal noise. The average score is then compared against customizable thresholds. The strategy will go long if the average score is above the threshold and short if it is below the threshold. This averaging mechanism helps to smooth out individual system anomalies and provides a more robust signal for trading decisions.
Originality and Usefulness:
Universal Algo is an original strategy that combines multiple proprietary and customized indicators to deliver robust trading signals. The strategy integrates various advanced indicators and methodologies, including:
System Indicator: Calculates a cumulative score based on recent price movements, aiding in trend detection.
Median For Loop: Utilizes percentile rank calculations of price data to gauge market direction.
Volatility Stop: A modified volatility-based stop-loss indicator that adjusts based on market conditions.
Supertrend: A customized supertrend indicator that uses percentile ranks and ATR for trend detection.
RSI and DEMA: Combines a modified RSI and DEMA for overbought/oversold conditions.
TEMA: Uses 3 different types of MA for trend detection and standard deviation bands for additional confirmation.
Detailed Explanation of Components and Their Interaction:
RSI (Relative Strength Index): Used to identify overbought and oversold conditions. In Universal Algo, RSI is combined with DEMA (Double Exponential Moving Average) to smooth the price data and provide clearer signals.
ATR (Average True Range): Used to measure market volatility. ATR is incorporated into the Volatility Stop and Supertrend indicators to adjust stop-loss levels and trend detection based on current market conditions.
DEMA (Double Exponential Moving Average): Provides a smoother price trend compared to traditional moving averages, reducing lag and making it easier to identify trend changes.
Modified TEMA (Triple Exponential Moving Average): Similar to DEMA but provides even greater smoothing, reducing lag further and enhancing trend detection accuracy.
Volatility Stop: Utilizes ATR to dynamically set stop-loss levels that adapt to changing market volatility. This helps in protecting profits and minimizing losses.
Customized Supertrend: Uses ATR and percentile ranks to determine trend direction and strength. This indicator helps in capturing major trends while filtering out market noise.
Median For Loop: Calculates percentile ranks of price data over a specified period to assess market direction. This helps in identifying potential reversals and trend continuations.
HMA (Hull Moving Average): A fast-acting moving average that reduces lag while maintaining smoothness. It helps in quickly identifying trend changes.
SMA (Simple Moving Average): A traditional moving average that provides baseline trend information. Combined with HMA and other indicators, it forms a comprehensive trend detection system.
Universal Algo offers a sophisticated blend of advanced indicators and proprietary logic that is not available in free or open-source scripts. Here are some reasons why it is worth paying for:
Customization and Flexibility: The strategy provides a high degree of customization, allowing users to adjust various parameters to suit their trading style and market conditions. This flexibility is often not available in free scripts.
Proprietary Indicators: The use of proprietary and customized indicators such as the TEMA, Supertrend, ADF, and WPDM ensures that the strategy is unique and not replicable by free or open-source scripts.
Integrated Systems: The strategy combines multiple systems and indicators to provide a more comprehensive and reliable trading signal. This integration helps to smooth out anomalies and reduces noise, providing clearer trading opportunities.
Rigorous Testing: Universal Algo has undergone extensive backtesting and forward-testing to ensure its robustness and reliability. The results demonstrate its ability to perform well under various market conditions, offering users confidence in its effectiveness.
Detailed Metrics and Analysis: The optional metrics table provides users with detailed insights into the strategy's performance, including metrics like equity, drawdown, Sharpe ratio, and more. This level of detail helps traders make informed decisions.
Value Addition: By providing a strategy that combines advanced indicators, customization options, and thorough testing, Universal Algo adds significant value to traders looking for a reliable and adaptable trading tool.
Realistic Trading Conditions:
Backtesting and Forward-Testing: Rigorous testing ensures performance and reliability, with a focus on prudent risk management. Default properties include an initial capital of $1000, 0 pyramiding, 20 slippage, 0.05% commission, and using 5% of equity for trades.
The strategy is designed and tested with a focus on achieving a balance between risk and reward, striving for robustness and reliability rather than unrealistic profitability promises. Realistic trading conditions are considered, including appropriate account size, commission, slippage, and sustainable risk levels per trade.
Concluding Thoughts:
Universal Algo By G is offered to the TradingView community as a robust tool for enhancing market analysis and trading strategies. It is designed with a commitment to quality, innovation, and adaptability, aiming to provide valuable insights and decision support across various market conditions. Potential users are encouraged to evaluate Universal Algo within the context of their overall trading approach and objectives.
Market Structure AlgoThe "Market Structure Algo" (MS Algo) is a comprehensive tool developed by OmegaTools. This advanced indicator is designed to analyze the market's structure through a combination of pivot highs and lows, creating a nuanced understanding of potential market movements.
Core Functionality:
- Internal and External Market Structure (MS): The MS Algo differentiates between internal and external market structures by analyzing pivot points over different periods. This dual analysis allows for a deeper understanding of short-term and long-term market trends.
- Zone Distance and Visualization: The indicator introduces a novel approach to visualizing potential areas of interest or 'zones' around pivot points, adjustable through the 'Zone Distance' setting. This feature enhances the visual representation of zone created on the chart that can be used as a support and resistance area.
- Dynamic Signal Generation: Utilizing a comprehensive algorithm, the MS Algo identifies potential signals for entering and exiting trades based on the internal market structure. These signals are visually represented on the chart, aiding in decision-making. These signals are based on the acceptance and confirmed breakout or the refusal of the pivot points by the price.
Operational Mechanism:
- The MS Algo calculates pivot highs and lows over specified periods (input by the user) to determine the market's current structure. It then evaluates the market's position relative to these pivot points to assign a market structure score, which can range from bullish to bearish extremes.
- Signals for long and short positions, as well as exits, are generated based on the interaction between the close price and these pivot points.
- Additionally, the indicator plots zones around the moving average, adjusted for the ATR and the specified 'Zone Distance,' providing a visual guide to areas where the market might find support or resistance.
Usage Guidelines:
- To apply the MS Algo to your TradingView charts, adjust the 'Internal MS' and 'External MS' settings to align with your analysis preferences. The 'Zone Distance' input allows for customization of the zone visualization feature.
- The color-coded signals and zone fillings serve as guides to understanding the current market structure and potential areas of interest. These should be interpreted within the context of a broader trading strategy and risk management framework.
Understanding the Indicator's Originality:
The MS Algo stands out due to its unique blend of pivot analysis and zone visualization, providing traders with a detailed view of the market's structure that goes beyond traditional indicators. Its originality lies in the methodological integration of these components to offer a tool that enhances market analysis.
Responsible Use Disclaimer:
The financial markets are unpredictable, and the MS Algo is designed to serve as an analytical tool within a trader's arsenal, not a standalone solution for trading decisions. Traders should use this tool judiciously, alongside comprehensive market analysis and sound risk management practices. It's important to understand that the MS Algo does not guarantee trading success nor does it claim to predict specific price movements. Trading involves risks, including the potential loss of capital.
Heiken Ashi Algo v6The Heiken Ashi Algo Oscillator v6, introduces a refined approach to technical analysis applicable across various markets. Central to this algorithm is the integration of the Relative Strength Index #RSI, a staple indicator renowned for its effectiveness in measuring momentum.
The RSI - Tried and True:
By incorporating the #RSI, traders gain valuable insights into the speed and strength of price movements, aiding in the identification of potential #trend #reversals and #continuations.
Why Heiken Ashi Candles:
Additionally, the utilization of #Heiken Ashi candles within this algorithm offers a smoother representation of price action, reducing noise and enhancing clarity in trend analysis. This feature is particularly advantageous in volatile markets, where traditional candlestick patterns may produce false signals. By employing Heiken #Ashi candles, traders can more accurately identify underlying trends and make informed decisions based on reliable price data.
Combining RSI and Heiken Ashi:
The synergy between the RSI and Heiken Ashi candles in the Heiken Ashi Algo Oscillator v6 provides traders with a comprehensive perspective on both momentum and trend direction. This combination allows for a nuanced analysis of market dynamics, enabling traders to navigate various market conditions with greater confidence.
Heiken Ashi Candle Sizes:
The size of the Heiken Ashi candles serves as a visual indicator of the distance the RSI has moved between closing prices, offering additional insights into momentum shifts.
Not your average Heiken Ashi Candles:
Ive taken the time to do some serious custom coding for these particular Heiken Ashi Candles.
They do NOT color as the normal ones do. There is a setting in the inputs tab of the indicator that allows you to color them according to my secret code where its looking for Breaks of Structure on lower timeframes based on Heiken Ashi Candle calculations.
Turning on this feature gives you a more promising array of candle colors telling you about false or positive breakouts and trends.
Why choose this tool:
CoffeeShopCrypto's Heiken Ashi Algo Oscillator v6 offers a balanced and effective tool for traders across different markets. By leveraging the power of the RSI and Heiken Ashi candles, traders can enhance their decision-making process, identify trading opportunities with greater precision, and ultimately improve their overall trading performance.
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Inflow / Outflow (accumulation and distribution) Ribbon
In trading we know liquidity means volume and volume is orders. This ribbon shows you when orders are entering, exiting, filling or flat in the market.
The Liquidity Ribbon is a visual representation of whats happening with accumulation and distribution in the market.
It acts as a dynamic area of support and resistance for the RSI (momentum).
Once the RSI breaks above or below the full area of the ribbon, you have an overturned short term market.
Breaking this area isn't easy because of the one sided thick line known as the PoC line or Point of Control Line.
This line changes between a rising and falling color to tell you what side of the market has the most resistance or support.
Custom HA candles
The common way for HA candles to be colors is green for bullish and red for bearish.
These candles color differently according to market dynamics vs how the current candle closes.
This is helpful to keep you from taking longs or shorts when the momentum just doesn't have the move.
How it all works together: Taking entries and failed breakouts.
In the image below (left to right) you can see the following take place:
Short Entry:
HA Candles push down through the ribbon breaking below its low side (Support Ribbon Broken)
Following this the RSI RANGE is broken to the down side.
This is a good setup for a short breakout
Retrace to false breakout:
After this price retraces and so does momentum.
HA Candles attempt to but fail to break through the top of the ribbon and push back down . This is a false breakout.
Bullish Divergence to Long Entry:
The Heiken Ashi Algo forms a bullish divergence and HA candles push back up into the ribbon. Without a change in candle structure the RSI breaks the top of the ribbon where the control line sits as well as breaking through the top of the RANGE area and
This is a promising setup for a long trade.
Rally Base Rally: (into secondary long trade)
As price is rising, it retraces until HA candles are within the RANGE. No candle closes or has a low below the RSI midline.
HA Candles are forming a consolidation. After consolidation the RSI breaks out the top of the ribbon and the top of the RANGE allowing a secondary long entry.
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Im not gonna lie. Ive written a lot of tutorials but this one was probably the most exciting to describe.
If you have any questions please do ask below.
