Lorentzian Classification Strategy Based in the model of Machine learning: Lorentzian Classification by @jdehorty, you will be able to get into trending moves and get interesting entries in the market with this strategy. I also put some new features for better backtesting results!
Backtesting context: 2022-07-19 to 2023-04-14 of US500 1H by PEPPERSTONE. Commissions: 0.03% for each entry, 0.03% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 3 indicators are used:
Machine learning: Lorentzian Classification by @jdehorty
One Ema of 200 periods for identifying the trend
Supertrend indicator as a filter for some exits
Atr stop loss from Gatherio
Trade conditions:
For longs:
Close price is above 200 Ema
Lorentzian Classification indicates a buying signal
This gives us our long signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 1:1 and take profit of 3:1 where half position will be closed. This will be showed as buy.
The other half will be closed when the model indicates a selling signal or Supertrend indicator gives a bearish signal. This will be showed as cl buy.
For shorts:
Close price is under 200 Ema
Lorentzian Classification indicates a selling signal
This gives us our short signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 1:1 and take profit of 3:1 where half position will be closed. This will be showed as sell.
The other half will be closed when the model indicates a buying signal or Supertrend indicator gives a bullish signal. This will be showed as cl sell.
Risk management
To calculate the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss or last swing for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a buy signal at price of 4,000 usd. The stop loss price from atr stop loss or last swing is 3,900. You calculate the distance in percent between 4,000 and 3,900. In this case, that distance would be of 2.50%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(2,5%) = 1000usd. It means, you have to use 1000 usd for risking 2.5% of your account.
We will use this risk management for applying compound interest.
> In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account.
> You can also choose a fixed amount, so you will have to activate fixed amount in risk management for trades and set the fixed amount for backtesting.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, a table of some stats from backtesting, etc.
You will find the settings for risk management at the end of the script if you want to change something or trying new values for other assets for backtesting.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital
I also added a function for backtesting if you had added or withdrawn money frequently:
Adding money: You can choose how often you want to add money (Monthly, yearly, daily or weekly). Then a fixed amount of money and activate or deactivate this function
Withdraw money: You can choose if you want to withdraw a fixed amount or a percentage of earnings. Then you can choose a fixed amount of money, the period of time and activate or deactivate this function. Also, the percentage of earnings if you choosed this option.
Some other assets where strategy has worked
BTCUSD 4H, 1D
ETHUSD 4H, 1D
BNBUSD 4H
SPX 1D
BANKNIFTY 4H, 15 min
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
Do not forget to change commissions and other parameters related with back testing results!. If you have problems loading the script reduce max bars back number in general settings
Strategies for trending markets use to have more looses than wins and it takes a long time to get profits, so do not forget to be patient and consistent !
Please, visit the post from @jdehorty called Machine Learning: Lorentzian Classification for a better understanding of his script!
Any support and boosts will be well received. If you have any question, do not doubt to ask!
ค้นหาในสคริปต์สำหรับ "200元+股票大盘"
God's Little FingerThe "God's Little Finger" indicator uses several technical analysis tools to provide information about the direction of the market and generate buy/sell signals. These tools include a 200-period exponential moving average (EMA), Moving Average Convergence Divergence (MACD), Bollinger Bands, and the Relative Strength Index (RSI).
EMA is used to determine if prices are trending. MACD measures the speed and momentum of the trend. Bollinger Bands are used to determine if prices are staying within a range and to measure the strength of the trend. RSI shows overbought/oversold levels and can be used to determine if the trend will continue.
The indicator generates buy/sell signals based on market conditions. A buy signal is generated when the MACD line is below zero, the price is below the lower boundary of the Bollinger Bands, the price is above the 200-period EMA, and the RSI is in oversold levels (usually below 40). A sell signal is generated when the MACD line is above zero, the price is above the upper boundary of the Bollinger Bands, the price is below the 200-period EMA, and the RSI is in overbought levels (usually above 60).
However, it should be noted that indicators can be used to predict market conditions, but they do not guarantee results and any changes or unexpected events in the market can affect predictions. Therefore, they should always be used in conjunction with other analysis methods and risk management strategies.
Mean Reversion and TrendfollowingTitle: Mean Reversion and Trendfollowing
Introduction:
This script presents a hybrid trading strategy that combines mean reversion and trend following techniques. The strategy aims to capitalize on short-term price corrections during a downtrend (mean reversion) as well as ride the momentum of a trending market (trend following). It uses a 200-period Simple Moving Average (SMA) and a 2-period Relative Strength Index (RSI) to generate buy and sell signals.
Key Features:
Combines mean reversion and trend following techniques
Utilizes 200-period SMA and 2-period RSI
Customizable starting date
Allows for enabling/disabling mean reversion or trend following modes
Adjustable position sizing for trend following and mean reversion
Script Description:
The script implements a trading strategy that combines mean reversion and trend following techniques. Users can enable or disable either of these techniques through the input options. The strategy uses a 200-period Simple Moving Average (SMA) and a 2-period Relative Strength Index (RSI) to generate buy and sell signals.
The mean reversion mode is active when the price is below the SMA200, while the trend following mode is active when the price is above the SMA200. The script generates buy signals when the RSI is below 20 (oversold) in mean reversion mode or when the price is above the SMA200 in trend following mode. The script generates sell signals when the RSI is above 80 (overbought) in mean reversion mode or when the price falls below 95% of the SMA200 in trend following mode.
Users can adjust the position sizing for both trend following and mean reversion modes using the input options.
To use this script on TradingView, follow these steps:
Open TradingView and load your preferred chart.
Click on the 'Pine Editor' tab located at the bottom of the screen.
Paste the provided script into the Pine Editor.
Click 'Add to Chart' to apply the strategy to your chart.
Please note that the past performance of any trading system or methodology is not necessarily indicative of future results. Always use proper risk management and consult a financial advisor before making any investment decisions.
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The following is a summary of the underlying whitepaper (onlinelibrary.wiley.com) for this strategy:
This paper proposes a theory of securities market under- and overreactions based on two psychological biases: investor overconfidence about the precision of private information and biased self-attribution, which causes asymmetric shifts in investors' confidence as a function of their investment outcomes. The authors show that overconfidence implies negative long-lag autocorrelations, excess volatility, and public-event-based return predictability. Biased self-attribution adds positive short-lag autocorrelations (momentum), short-run earnings "drift," and negative correlation between future returns and long-term past stock market and accounting performance.
The paper explains that there is empirical evidence challenging the traditional view that securities are rationally priced to reflect all publicly available information. Some of these anomalies include event-based return predictability, short-term momentum, long-term reversal, high volatility of asset prices relative to fundamentals, and short-run post-earnings announcement stock price "drift."
The authors argue that investor overconfidence can lead to stock prices overreacting to private information signals and underreacting to public signals. This overreaction-correction pattern is consistent with long-run negative autocorrelation in stock returns, excess volatility, and further implications for volatility conditional on the type of signal. The market's tendency to over- or underreact to different types of information allows the authors to address the pattern that average announcement date returns in virtually all event studies are of the same sign as the average post-event abnormal returns.
Biased self-attribution implies short-run momentum and long-term reversals in security prices. The dynamic analysis based on biased self-attribution can also lead to a lag-dependent response to corporate events. Cash flow or earnings surprises at first tend to reinforce confidence, causing a same-direction average stock price trend. Later reversal of overreaction can lead to an opposing stock price trend.
The paper concludes by summarizing the findings, relating the analysis to the literature on exogenous noise trading, and discussing issues related to the survival of overconfident traders in financial markets.
Strategy Myth-Busting #13 - MultiEMA+BXTrender - [SP/MYN]#13 on the Myth-Busting bench, we are automating the "I Found The Highest Win Rate 15 Minute Scalping Trading Strategy Ever" strategy from "TradeIQ" who claims to have backtested this manually and achieved 410% profit over 100 trades within 6 months on Natural Gas with 79 Wins / 21 Losses with an astounding 3.96% Max Drawdown.
It was quite challenging emulating the same subjective EMA pullback logic along with the dependent sequencing of events necessary to enter a trade and we might improve on this to make it better in the future. Super kudos to @spdoinkal who helped with this strategy. If you have ideas on how this could be improved on, would love to hear about them.
As is, we were unable to substantiate similar results to what was manually backtested by TradeIQ, we do however see potential here. Given some optimizations and improvements to the the entry logic accommodating for a wider more variable margin after pullbacks reestablish above/below the fast EMA we think the performance of this strategy could certainly be improved upon. So not sure if we have totally myth busted this completely at this point in time.
This strategy uses a combination of 2 open-source public indicators:
3 EMA's (Trading View Internal)
B-Xtrender by Puppytherapy
Three separate (21), (89) and (200) EMA's are used as a means to confirm and keep entry out of ranged markets. When the 3 EMA's are all clumped up together with no distance it's indicative of a flat or ranged market. This is then used in conjunction with B-XTrender as a means to detect the trend direction. B-XTrender which is a trend following indicator originally published in the IFTA Journal by Bharat Jhunjhunwala. It uses both a short and long term lengths along with a compound EMA used as a means to smooth and sample trend direction.
Trading Rules
15 min candles but other lower time-frames
Stop Loss on previous swing high/low
No Take Profit, Exit on new red/green circles from BX-Trender
Long
EMA Green (21) on top, White (89)in middle and red (200) on bottom and there is distance between EMA's need to be spaced, otherwise in a ranged market
Price action must pull back into 89 EMA (White line) either close or touching it.
Once pullback occurs wait for BX Trender to issue a new green circle and BX Trend line must be green and above 0
Price action must also pull up back above the (Green Line) EMA 21
Short
EMA Red (200) on top, White (89) in middle and Green (21) on bottom and there is distance between EMA's need to be spaced, otherwise in a ranged market
Price action must pull back into 89 EMA (White line) either close or touching it.
Once pullback occurs wait for BX Trender to issue a new red circle and BX Trend line must be red and below 0
Price action must also pull up back below the (green Line) EMA 21
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
TradePro's 2 EMA + Stoch RSI + ATR StrategySaw TradePro's "NEW BEST HIGHEST PROFITING STRATEGY WITH CRAZY RESULTS - 2 EMA+ Stochastic RSI+ ATR", and was curious on the back testing results. This strategy is an attempt to recreate it.
This strategy uses 50 / 200 EMAs, Stochastic RSI and ATR.
Long Entry Criteria:
- 50 EMA > 200 EMA
- Price closes below 50 EMA
- Stochastic RSI has gone into oversold < 20
- Stochastic RSI crosses up while making higher low from previous cross up
Short Entry Criteria:
- 50 EMA < 200 EMA
- Price closes above 50 EMA
- Stochastic RSI has gone into overbought > 80
- Stochastic RSI crosses down while making lower high from previous cross down
Stop-loss is set to ATR stop-loss
Take Profit is 2x the risk
All parameters are configurable.
Enjoy~~
sohail Anjum EMA buy sellBased on Sohail anjum
Ema crossing teaching
Crossover alerts, only in trend 200 Ema (yellow line) make sure If the price is above the 200 EMA, you can prefer a long position and ignore short positions.
If the price is below the 200 EMA, you are allowed to open only short positions and avoid long positions.
Do not use this indicator alone, Use other recommended indicators by ShohailAnjum Rsi, Macd , chart pattren, etc
This indicator good win rate in 15m TF recommended 1H, 4H
FALGUN INDICATOR WITH SAR V1.0This script is a trend-following system that uses a long-term and Short-term Moving Average to spot the trend.
Default Settings and Calculation:
- The trend is detected using the Simple Moving Average on 200 periods and 30 Periods.
- The Market is considered an Uptrend when the price closes above the 30 and 200 Moving Averages.
- The Market is considered in a Downtrend when the price closes below the 30 and 200 Moving Averages.
This script is best suited for all timeframes.
The options allow for modification of the type of moving average to use.
TARVIS Labs - Alts Macro Bottom/Top SignalsSCRIPT DESCRIPTION
PLEASE READ THROUGH THIS CAREFULLY.
This is a script specifically written to help provide indicators from a macro view for ALTS. This script needs to be run on the 1 day. It helps indicate when to accumulate alts, and when its in a bull run when this a bull run top beginning to form with warnings, and a indicator that a top is in. This is described further below.
NOTE - in order to accomodate most alts the script had to be broad enough in its indicators to cover many different scenarios. If you are trading a smaller altcoin I suggest taking a more conservative approach to accumulation.
FAQs:
1. Why is there no accumulation zone showing up before an uptrend?
This could be because the trend has been so strong for this coin that there hasn't been a strong enough signal to accumulate or this could be that the chart doesnt have enough historical data (needs over 2 years) for the indicators to flash green.
2. Why is there no tops shown for a chart Im looking at?
This is either because there isn't enough historical data (needs over 2 years) for the indicators to build or because the altcoin didnt perform as well as the rest of the market. The altcoin has to perform as well as the market over the length of the bull run in order for the signals to show. Typically an altcoin that shows sharp increases and sharp drops shortly after will not have signals show up.
3. The "Potential End of Bull Run Top Indicator" showed up but we weren't near the top yet, why is that?
The alts indicator has to work across many altcoins, and their trends are not all the same. This can lead to the indicator showing but not necessarily being the exact top. The data from the alts macro bottom/top signals should be paired with the "TARVIS Labs bitcoin macro bottom/top signals" indicator for BTC. The reasoning is because if the top is not showing that its in for Bitcoin its likely that the altcoin's top is also not in. You should use the two in tandem to know if the bull run top is very likely in.
ACCUMULATION ZONE INDICATOR - LIGHT GREEN
Description
When we look at the general crypto landscape, the 200d & 300d EMAs are extremely useful. We can use their cross and momentum in order to determine a bottom forming. If the price has fallen over 40% below the 200 day EMA and the 200 day EMA has crossed below the 300d EMA, its a downtrend with a steep fall, which could indicate a good time to accumulate. When we see the 200 day EMA's slope drop drastically (over 5% w/w) it is also a good signal to accumulate.
Strategy for Usage
For alts, the strategy can vary drastically. You need to take into account:
1. the market cap of the altcoin, is it a smaller market cap altcoin or a larger one?
2. historical trend, does it typically trend strongly with a smaller accumulation zone?
Once you've taken these into account you can form a strategy. For example, if the altcoin has had smaller accumulation zones historically you'll want to take advantage of the accumulation zones when they pop up and be more aggressive (say a 30 day accumulation). If the altcoin has historically had longer accumulation zones then you'll want to be more conservative with your strategy and potentially have a 100 day (or even longer) accumulation period. If the altcoin is a smaller market cap alt, you will want to also take that into account. You'll want to likely be more conservative,
STRONG BUY IN ACCUMULATION ZONE INDICATOR - DARK GREEN
Description
We can add to the bottoming signal by looking for strong downtrends inside the bottoming signal. We do this by seeing when the 36 day EMA has a slope decreasing by 2% day/day.
Strategy for Usage
These strong downtrend days can be used to add more to our accumulation strategy. We can add more on these days (ex. double what you were planning to on a typical accumulation day).
LOCAL TOP NEAR BULL RUN TOP INDICATOR - RED
Description
When the 100 week EMA is in a strong uptrend (4% increase w/w) we can look for significant loss of momentum in order to determine if a local top is in near a bull run top. This strategy uses a MACD with 9/36/9 config for the daily chart. We look for the signals momentum loss, when the slope becomes negative.
Strategy for Usage
Ideally the right strategy to use here is to exit the market when this indicator starts. When the indicator ends if the "Potential End of Bull Run Top Indicator" is not showing on the chart you can buy back into the market.
POTENTIAL END OF BULL RUN TOP INDICATOR - DARK RED
Description
When the 100 week EMA is in a strong uptrend (3% increase w/w), and a MACD config of 108/234/9 has a negative signal slope signifying a very large momentum loss, but the 1d 18 EMA is still above the 1d 63 EMA we show this signal.
Strategy for Usage
This is a strong indicator that the top is in, and it potentially being the bull run top. Because alts can vary strongly in their charts, this should be a strong warning but not necessarily a certainty that the bull run is over.
Moving Averages Ribbon (7 EMAs/SMAs)This Indicator provides a combination which is suitable for visualizing many Simple Moving Averages (SMAs) and Exponential Moving Averages (EMAs). There are 7 possible periods 5,9,20,50,100,200,250. There is a possibility to show only EMAs or only SMAs or both. EMAs have thinner curves by default, to be able to distinguish them from SMAs. Additionally, there are highlighted channels between the MAs of the highs and the MAs of the lows, showing a channel of specific moving averages. It comes with a presetting showing EMAs 5,9,20,50,200 and SMAs 9,20,50,200, while the MA channels are only visible for 9 and 50.
EMAs:
SMAs:
Both
[SS]Multicolor BB with Squeez Moving Average & Colored BarsHello Followers,
Hope u guyz doing well in the market.
Came with a standalone Trading System which helps u with the trend & choppiness zone.
This system is combination of multiple stretagies which makes it better than single published indicators.
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We have used Variety-Filtered, Squeeze Moving Averages which is a chop zone indicator that identifies when price is below a specific volatility threshold calculated as the difference between a fast and slow moving average and filtered using ATR- or Pips-based threshold. This indicator can be use as both an entry and exit indicator. It identifies both chop zones and breakouts/breakdowns
Uses:-
When the candles turn white and the threshold bands appear on the chart, this is indicative of low volatility
When price exits the threshold bands, price will usually explode up or down giving a long or short signal. This acts as a sort of squeeze momentum.
Included:
Bar coloring
Signals
Alerts, 4 types of alerts: Squeeze started, Squeeze ended, long, and short
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Multicolour Bollinger Bands indicator that indicates market phases.
It plots on the price chart, thanks to different color zones between the bands, a breakdown of the different phases that the price operates during a trend.
The different zones are identified as follows:
- red color zone: trend is bearish , price is below the 200 periods moving average
--> orange color zone: price operate a technical rebound below the 200 periods moving average
- yellow color zone: (phase 1 which indicate a new bearish cycle)
- light green zone: (phase 2 which indicate a new bullish cycle)
--> dark green zone: trend is bullish , price is above the 200 periods moving average
- grey color zone: calm phase of price/low volatility
- dark blue color zone: price is consolidating in either bullish or bearish trend
- light blue zones: price will revert to a new opposite trend (either long or short new trend)
By identifying clearly the different market phases with the multicolor Bollinger bands , the market entries by either a the beginning of a new trend or just after a rebound or a consolidating phase is easier to spot on.
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The credit of above indicator souce goes to loxx & Deveatt. I just backtested and modified it to increase accuracy of trade and clear visual representation for trades.
Modified the trend based SMA and BB period and entry criteria.
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1) Look for BB COLOR and SMA for trend either up or down.
2) Look Bar coloring, enter when price above sma and green for long else short.
MACD + RSI with Trade SignalsThis indicator by default comes with the MACD shown but can be switched to show the RSI instead. Settings for each indicator can also be customized as well as Buy/Sell signals given based on pull back crossovers that follow the 200 EMA of the price Chart. There's an above/below middle fill option you can use but I tend not to but I know some traders like to see when an oscillator is above/below the middle and use it as a trend diretion. By the way, the fourth setting for the MACD (which is 2 by default) is the size of the histogram.
Buy Signal = Price is above the 200 EMA. Current or previous MACD or RSI line is/was below middle line and now crossed above the signal line.
Sell Signal = Price is below the 200 EMA. Current or previous MACD or RSI line is/was above middle line and now crossed below the signal line.
There are alerts for each signal as well (MACD and RSI, both buy and sell).
Feel free to leave a comment regarding issues or suggestions for this indicator or ideas for the next one I should do :)
Crypto addict 7 Accurate Buy & Sell indicators
The below indicators are recommended on the daily chart only.
Yellow Diamond - Possible bottom of the market. This diamond will only flash a few times in a cycle on the BTC chart. This is actually one the BEST buying signal
Green Buy – Buy
Red Sell - Sell / take profits
BIG red cross – Possible top and best signal to sell or take profits
BIG green cross – possible bottom and the best signal to buy
Silver Line – 111 MA
The modified 111 moving average is also a very good indicator. The market will test this support/resistance before the 200 moving average.
Purple line – 200 MA
The modified 200 moving average is a very good indicator. You will get a feel if the markets are in a up or down trend and identifying support and resistance areas. A daily candle close above the line is support and markets can move upwards. A daily close below indicate resistance and markets will move downwards
Red line – Confirmed bullish / bearish cycle!!
Green Line - This MA line indicate the bottom of the cycle - your absolute best entry point for the next cycle. This MA got a 10-year accurate record.
Remember that past history does not guarantee future results.
SSL HYBRID AdvancedSSL HYBRID Advanced
SSL Hybrid is an Advanced version of the default SSL Hybrid by Mihkel00.
Multiple Indicators
MACD Crossover Signals
EMA 200
Bollinger Band
Bollinger Band Squeeze
ADX Crossover and ADX level
CCI Over Brought /Sold
Stochastic Over Brought /Sold
RSI Over Brought /Sold
CREDITS
QQE MOD byMihkel00
SSL Hybrid by Mihkel00
Waddah Attar Explosion by shayankm
Support Resistance LonesomeTheBlue
Indicators On Chart
QQE MOD is plotted as Dot below and above the candle and also as Background
QQE line is plotted and can be used as crossover to find trend. Flat movement of QQE is Sideways
Weak ADX is plotted as a Background color. Same can be verified using Bollinger band Squeeze.
EMA crossover can be plotted by selecting MTF MA(multi time frame moving average indicator) Area plot is provided.
CCI , Stochastic, RSI signals provided in the table option
WAE (volume indicator ) is shown in Table
EMA 200 is plotted and color Represents ADX level and direction. Plots on EMA 200 are ADX crossovers
MACD crossovers are represented by Triangles above and below Candles
Support Resistance levels are plotted (change settings)
Pivot Points are plotted (change settings)
Bollinger Bands Plotted
EMA 20 and EMA 50 plotted with AREA for additional confirmation
Buy: When the table option shows completely Blue signals in all indicators
Sell: When the table option shows completely Pink signals in all indicators
WARNING not recommended for lower time frames. Use at your own Risk.
Updates will be released shortly if any. please provide your suggestions to make it more functional indicator.
MACD Strategy AlertThis Indicator will only give you potential entry base on MACD strategy combine with a 200 EMA
-Sell when price under 200 ema and MACD is crossing the signal line above 0
-Buy when price above 200 ema and MACD is crossing the signal line under 0
-Sending Alert for each Potential Entry
stoch supertrd atr 200maThis strategy combines Supertrend, 200 EMA, Stochastic, and an ATR stop loss indicator. For buy conditions, the Stochastic has to be below the 20 level, price has to be above the 200 Ema and the Supertrend has to be green. For sell conditions, it has to be the opposite. the Stochastic has to be above the 80 level, price has to be below the 200 Ema and the Supertrend has to be red.
TPS - FX TradeI based my strategy on the Lagging Span 2 line in the Ichimoku Cloud. I actually designed the strategy for the DAX Germany index 3 Minutes period, but you can use it on any instrument you want. I would like to point out some points that you should pay attention to when optimizing the strategy for the instrument you want to use.
Position Take Profit and Stop Loss levels are tick calculations. These values will differ for each instrument. If you are trading in Forex, the values you will write here should be starting from the numbers after the comma in the instrument value. For example, if you want to take profit at "200" points in DAX, you must write "20000" in the Long or Short Take Profit Score field, this applies to the Stop Loss Points, but if you want to take profit or stop loss at 200 points in UKOIL, you must write "200" in the entry part.
Multiple HMA Original Indicator Script for calculation and color change Hull Ma written and published by huyfibo
I found his version preferable and superior due to the method of mathematics used to get the Hull Ma
I have duplicated huyfibo's calculation for 1 line multiple times, changed variables on each one to create 12 total lines, and customized the color and width of each to help them be identifiable on the 1 minute chart.
This indicator was requested and written for a study to replace multiple SMA's with Hull MAs to compare accuracy as the Hull has much less lag.
As you can see on the above chart, it displays both the 200(1 min) and 1000 ( 5 min) HMA in gold . If user was watching the 1 min chart expecting price to resist at the 200, it would not hold. Although on the 5 min chart it does. This combination gives the user the expectation that price could jump the first line and resist at the second, which it does here.
Combining multiple lines into 1 also to take up much less room at the top of the chart for cleaner visual.
Default values are as such so that the user can have 5 min values displayed on a 1 min chart, as well as the equiv of 200 on the 30 min chart for the 2 and 4 hour.
This is a simply a matter of convenience for the study and can be unchecked to be hidden.
Coded colors and lengths are to visually discern comparable values. Both 1 and 5 min timeframes are the same color, but 1 min timeframe value has larger linewidth
Hull # 10 and 11 are intended for 30 min timeframe and should be unchecked for anything less as their value with be invalid.
All period values, color combinations, and line width can be changed in the the input menu.
How Old Is this Bull Run Getting? Check MA Test Bars SinceThere are many price-based techniques for anticipating the end of a move. However, the simple passage of time can also help because bull markets don’t last forever. While old age doesn’t necessarily cause investors to sell, a reversal becomes more likely the longer a trend lasts.
So, how long have prices been going up? There are various ways to measure that. Our earlier script, MA streak , offered one solution by counting the number of bars that a given moving average has been rising or falling.
Today’s script takes a different approach by counting the number of candles since price touched or crossed a given moving average. It tracks the 50-day simple moving average (SMA) by default. It can be adjusted to other types like exponential and weighted with the AvgType input.
In the chart above, Bars Since MA Test was adjusted to use the 200-day SMA. Viewing the S&P 500 with this study helps put the current market into context.
We can see that prices last touched the 200-day SMA 386 sessions ago (June 29, 2020). That’s relatively long based on history, but not unprecedented. For example, the indicator was at 407 in February 2018 as the market pulled back. It also hit 475 in October 2014 (following the breakout above 2007 highs).
Additionally, the S&P 500 is nearing the record of the 1990s bull market (393 candles on July 12, 1996).
Before that, you have to look all the way back to the 1950s, when it twice peaked at 627.
The conclusion? The current run without a test of the 200-day SMA is above average, but not yet record-setting. It may be interesting to watch as earnings season approaches and the Federal Reserve looks to tighten monetary policy.
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Market Breadth EMAs V2Second version of Market Breadth EMAs for $SPY. Getting a little more complicated than V1 but removed noise.
Key:
Green line = % of stocks above their 20-period moving average, the "twitch line"
Red line = % of stocks above their 200-period moving average, the "long term trend"
White line = weighted average of the % of stocks above the 20/50/100/200 averages, the "general trend." Captures bursts that the 200 misses, and is more trustworthy than the 20.
Background colors = limits of the red/green/white where reversals have happened historically. The darker the color, the stronger the signal.
Histogram = the change in the white line over time, for different time periods: 1/4/10/20, the "trend strength/confidence." i.e. If the white line "General Trend" has been drifting lower for a month but started increasing the past 2 days, you might have 3 red histograms and 1 green one.
Techniques:
If the green, red, or white line is above 50%, then more than half the stocks are above that average. So, if they're in the top half, bullish market. Bottom half, bearish market.
If the green line is above the red, market has rising/bullish momentum. If red is above green, market has falling/bearish momentum.
If the white line is rising, bullish momentum. If it's falling, bearish momentum.
If the histograms are all green, there is strong momentum in that direction. The % of stocks above their important averages has been increasing each day for both the short term and long term.
If the histograms go from all green to a mix of green and red, be on the lookout for a reversal from one of the background levels. Usually initiates from the 20 (green line) first.
If price dips without the histogram changing, HODL.
The DD investThe script tells me when to invest in the stock.
Split ur money into 3 piles. Each must be bigger than the previous one.
Buy with the first pile when the chart touches the middle line (SMA200).
Buy with the second pile when the chart touches the bottom line (lowest price of 200 weeks).
Buy with the third pile when the chart goes significantly below the bottom line (lowest price of 200 weeks).
Watch only the W1 chart (!!!).
Circles on the chart indicate places where you should buy (examples).
Consider selling half of the holding when the chart touches the top line (the highest price of 200 weeks).
Hold the rest much longer then you plan to ;)
Strategy TemplateTrying to include few basic things which is needed for strategy which can be used as template.
Few important components
Strategy parameters
Few important parameters include - initial_capital, default_qty_type, default_qty_value, commission_type, pyramiding and commission_value. All my strategies will have similar settings with initial captial set to 20000 to 100000. 100% of equity per trade with no pyramiding (set to 1) and minimal commission.
margin_long and margin_short can be used for leveraged trading. But, since we are not using pyramiding, it will make no effect.
Trade Limiting parameters
Two types of limiting is available in the scripts
Limiting trading direction : this is done through method strategy.risk.allow_entry_in and input parameter tradeDirection
Limiting trades to particular time window : This is achieved through adding start time and end time parameters of type input.time and check whether time is within this window
Custom Methods
customized security method to get higher timeframe data
customized moving average method to get moving average of any type
Custom Parameters
Moving average Type option list which I use quite often. Any strategy where there is need to use moving average, I try to scan through different moving average types and lengths to see which one is more appropriate for the given strategy. Hence, keeping this parameter in template to make it readily available when I start with new strategy
waitForCloseBeforeExit - this is used if trailing stop need to activated as soon as price hits the stop or only on close price. This is again something I switch quite often based on strategy. Hence, keeping this as part of the template.
Entry and Exit statements for long and short
These statements from line (57 to 62) can remain as is even with new strategy. Only thing to be set are variables - buyCondition, sellCondition, closeBuyCondition and closeSellCondition
Last but not the least
In pinescript, a long and short position cannot coexist in a strategy at any point of time. Any short positions created will automatically stop long positions and vice versa. Hence, it is important make short and long trades mutually exclusive. In this example, I have used 200 weekly moving average as trend bias. No short positions are taken when price is trading above 200 weekly moving average low/close and no long positions are taken when price is less than 200 weekly moving average high/close. Any rule built on top of this (In this case a simple supertrend rules) ensures that there are no conflicting signals and hence avoids confusing trades on the stratgy.
Forex bot full strategy with risk managementThis is a full strategy designed for forex major pairs, specially EUR/USD using 1h time frame chart.
Its components are
200 EMA
MACD
OBV
PSAR
RIsk management with tp and sl movements
Rules for entry
For long = Previous histogram from MACD was below 0 and current one is above 0. CLose of a candle is above EMA 200 , OBV oscillator is negative and we have an uptrend from PSAR
For short = Previous histogram from MACD was above 0 and current one is below 0. CLose of a candle is below EMA 200 , OBV oscillator is positive and we have an downtrend from PSAR
Rules for exit
For tp and sl values we calculate the distance from the close of candle until the psar values.
If you have any questions, let me know !
Dual Mean Reversion Channel (adjusted lower band)This is a public and open-source lighter version compared to the "Overextended Price Channel" which is provided complimentaty to the Trend Insight System.
Introduction :
Channels are very useful tools to assess overextended price, volatility and upcoming retracement or impulsive moves (such as Bollinger Band squeezes). It is an indispensable addition to any trader using Mean Reversion theory for a scalp-trade or swing-trade.
This script contains :
- 2 channels Keltner-style, using the True Range for volatility
- customizable volatility (channel width) and smoothing period
- a standard selection of moving average ; SMA, EMA, VWMA
- an embedded readjustment of the lower bands to avoid the drop on a logarithmic scale (see explanation below)
Why another channel indicator ?
I have found most conventional channels to be either not based on "proper" volatility (e.g. standard deviation of price action for Bollinger Band), or the bottom channel to be ill adapted to the logarithmic scale and plunges to 0 on some high volatility periods, messing with readability on logarithmic auto-scaled chart.
Also, I find the channels to be most useful when superimposed with another one of longer length; especially a pair of channels with a 50 and 200 period moving average respectively. Mean Reversion traders that mostly trade the 50 and 200 SMA/EMA know what I am talking about as having a channel helps to have a better visual for a proper of entry and exit point.
Disclaimer :
This indicator was originally intended to be used along with the Trend Insight System to improve performance, and the default configuration mostly backtested on BTCUSD.
Please use with caution, proper risk management and along with your favorite oscillator, candlestick reading and signals system.
Some explanation :
Based on Mean Reversion paradigm, everything has a tendency to revert back to the mean :
- when the price enters the upper channel, it is supposed to be (or start getting) overbought as the market is getting overheated, thus prone to correction,
- on the other hand, when the price enters the lower channel, it is supposed to be (or getting) oversold and the market looks favorable for a buy-in.
Depending on the trading style used, a trader will usually either wait until the price leaves the channel towards the mean before taking action (conservative style) or you will set limit orders inside the channel as you expect a reversion to the mean (more agressive/risky style).
With two channels, more complex (and maybe precise) rules can be built to optimize one's trading strategy.
Important notes :
In the end, sticking with 50/200 length and a single setting on volatility might be wiser, be wary of overoptimization which is risky at best and counter productive at worst (according to legendary traders such as Mark Douglas). Even if, needless to say, the volatility needs to be adjusted between a nascent and volatile market (such as crypto) compared to standard call markets that are much less volatile.
End notes :
It will always be considered a work in progress to help bring out the best of trading with channels, any comment and suggestion are welcomed.
