3C Reversal Filter v1In essence, this strategy is a heavily smoothed range filter.
This strategy includes a backtester and ability to connect it with your 3 commas bot(See adviced settings below)
The calculation steps below gives an example on how signals are made:
1. Calculating the price movement using ATR, % change, standard deviation etc..
2. Obtaining the smoothed price using SMA.
3. Obtaining the absolute value of the bar-to-bar change.
4. Applying EMA, twice, to the values in step 3.
5. Obtaining the slow trailing line by multiplying the result of step 4 by 1.618.
Think of it as a heavily smoothed price range
If the 1.618 value looks familiar, that’s because it’s used in Fibonacci sequences. You can of course experiment with other values. I’ve seen good results with both 2.618 and 4.236
What does the strategy do?
1. Determine Trend Detection
2. Detect Short-Term Momentum
3commas settings:
-For now you can only use simple bots.
-Create LONG and SHORT bots for the coins you like to trade and set up alerts(You can send long and short signal from the same alert)
-Set TP to 50% the strategy will handle buys and exits based on your inputs.
-Set safety orders to 0. I might add DCA to the strategy if testing proves that to be a good solution.
-When you have made the bots input the bot ID and token adress in the settings of the strategy.
-When creating the alert use this webhook :https://3commas.io/trade_signal/trading_view
-In the message field you use {{strategy.order.alert_message}} as the placeholder.
Cari dalam skrip untuk "momentum"
Short Term RSI and SMA Percentage ChangeThis strategy utilises common indicators like RSI and moving averages in order to enter and exit trades. The Relative Strength Index (RSI) is a momentum indicator that has a value between 0 and 100, where a value greater than 70 is considered overbought and a value less than 30 is oversold. If the RSI value is above or below these values, then it can signal a possible trend reversal.
The second indicator used in this strategy is the Simple Moving Average (SMA). A SMA is an arithmetic moving average calculated by adding recent prices and then dividing that figure by the number of time periods in the calculation average. For example, one could add the closing price of a coin for a number of time periods and then divide this total by that same number of periods. Short-term averages respond quickly to changes in the price of the underlying coin, while long-term averages are slower to react.
Long/Exit orders are placed when three basic signals are triggered.
Long Position:
RSI is greater than 50
MA9 is greater than MA100
MA9 increases by 6%
Exit Position:
Price increases 5% trailing
Price decreases 5% trailing
The script is backtested from 1 May 2022 and provides good returns.
A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on AVAX 45m/1h, MATIC 15m/45m/1h and ETH 4h.
Ichimoku Cloud with RSI (By Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
This strategy combines the Ichimoku Cloud with the RSI indicator to better enter trades.
Long/Short orders are placed when three basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
RSI is greater less than 50
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
RSI is greater than 50
The script is backtested from 1 June 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on SOL (45m timeframe), BNB (1h timeframe), and ETH (1h timeframe).
Gators Oscillator - Bitcoin Scalp Trader(T&M/e V3!!)Gator's Oscillator:
**For reference, all numbers, and settings displayed on the input screen are only what I HAVE FOUND to be profitable for my own strategy, Yours will differ. This is not financial advice and I am not a financial advisor. Please do your due diligence and own research before considering taking entries based on this strategy and indicator. I am not advertising investing, trading, or skills untaught, this is simply to help incorporate into your own strategy and improve your trading journey!**
INPUTS:
EV: This is an integer value set to default at 55. This value is equated to the lead value, volatility measurement, and standard deviation between averages
EV 2: This integer is used as the base value and is meant to always be GREATER THEN EV, the default is set at 163. There should be at least a 90+ integer difference between EVs for data accuracy.
EV TYPE & EV TYPE 2: This option only affects the output for the moving average histograms. (and data inserted for strategy)
Volatility Smoothing: This is the smoothness of the custom-made volatility oscillator. I have this default at 1 to show time-worthy-term (3.9%+) moves or significant trends to correspond with the standard deviation declination between EVMA and EVMA2.
Directional Length: This is the amount of data observed per candle in the bull versus bear indicator.
Take Profit: Pre-set takes profit level that is set to 4 but can be adjusted for user experience.
Style:
Base Length: Columns equated using a custom-made statistical equation derived from EV TYPE 2+EV2 to determine a range of differential in historic averages to a micro-scale.
Lead Length: Columns equated using a custom-made statistical equation derived from EV TYPE+EV to determine a range of differential in historic averages to a micro-scale.
Weighted EMA Differential: Equation expressing the differences between exponential and simple averages derived from EV+EV Type 2. Default is displaying none, but optional for use if found helpful.
Volatility: Represents volatility from multiple data sets spanning from Bollinger bands to HPV and translated through smoothing.
Bull Strength: The strength of Bulls in the current trend is derived from a DMI+RSI+MACD equation to represent where the trend lies.
Bear Strength: The strength of Bears in the current trend is derived from a DMI+RSI+MACD equation to represent where the trend lies.
(NEW) Standard Deviation between Moving Averages: Use this logarithmic indicator depicted as circles to help determine whether a move is a fake out or not. Compare the circles with the volatility line, if you see them deviating away, it is either a bull/bear trap or trend continuation is imminent until they correlate back together.
CHEAT CODE'S NOTES:
Do not use this indicator on high leverage. I have personally used this indicator for a week and faced a max of 8% drawdown, albeit painful I was on low leverage and still closed on my take profit level.
85% is not 100% do not overtrade using this indicator's entry conditions if you have made 4 consecutive profitable trades.
Mess around with the input values and let me know if you find an even BETTER hit rate, 30+ entries, and a good drawdown!!
V2 UPGRADES:
*Increased Opacity on Bull Bear Columns
*Removed the Stop Loss Input option
*Decreased EV2 to a default of 143 for accuracy
*Added additional disclaimers in the description
* Removed Bull/Bear offset values for accuracy
V3 UPGRADES:
*ADDED THE EMA DIFFERENTIAL FROM SMA STANDARD DEVIATION INDICATOR. REPRESENTED BY PURPLE BARS THAT PLOT BRIGHT AT EXTREME LEVELS (Translate this to the EMA's and SMA's are very far apart) This is a fantastic way to resolve volatility and momentum in one indicator!!
*Line Width increased for volatility
*plot's for Oversold Alma reduced to 3, also adjusted the plot shape to arrows corresponding to 'overbought/oversold values. Look for a cross-over from green/red plot to transparent for best signals.
*Histograms for bull/bear strength correspond to an increase or decrease in value
*Input screen converted into groups, with bull/bear color inline
*Converted base/lead length value's into areas with breaks. IF YOU SEE WHITE (Short/Lead Length), IT IS A SHORT TERM MOVE AND SCALPING OPPORTUNITY. IF YOU SEE BLUE(Long/Base Length) IT MEANS IT IS A MACRO MOVE, WHICH MAY LAST LONGER
-Cheat Code
BINANCE:BTCUSDT BYBIT:BTCUSDT COINBASE:BTCUSD
VIDYA Trend StrategyOne of the most common messages I get is people reaching out asking for quantitative strategies that trade cryptocurrency. This has compelled me to write this script and article, to help provide a quantitative/technical perspective on why I believe most strategies people write for crypto fail catastrophically, and how one might build measures within their strategies that help reduce the risk of that happening. For those that don't trade crypto, know that these approaches are applicable to any market.
I will start off by qualifying up that I mainly trade stocks and ETFs, and I believe that if you trade crypto, you should only be playing with money you are okay with losing. Most published crypto strategies I have seen "work" when the market is going up, and fail catastrophically when it is not. There are far more people trying to sell you a strategy than there are people providing 5-10+ year backtest results on their strategies, with slippage and commissions included, showing how they generated alpha and beat buy/hold. I understand that this community has some really talented people that can create some really awesome things, but I am saying that the vast majority of what you find on the internet will not be strategies that create alpha over the long term.
So, why do so many of these strategies fail?
There is an assumption many people make that cryptocurrency will act just like stocks and ETFs, and it does not. ETF returns have more of a Gaussian probability distribution. Because of this, ETFs have a short term mean reverting behavior that can be capitalized on consistently. Many technical indicators are built to take advantage of this on the equities market. Many people apply them to crypto. Many of those people are drawn down 60-70% right now while there are mean reversion strategies up YTD on equities, even though the equities market is down. Crypto has many more "tail events" that occur 3-4+ standard deviations from the mean.
There is a correlation in many equities and ETF markets for how long an asset continues to do well when it is currently doing well. This is known as momentum, and that correlation and time-horizon is different for different assets. Many technical indicators are built based on this behavior, and then people apply them to cryptocurrency with little risk management assuming they behave the same and and on the same time horizon, without pulling in the statistics to verify if that is actually the case. They do not.
People do not take into account the brokerage commissions and slippage. Brokerage commissions are particularly high with cryptocurrency. The irony here isn't lost to me. When you factor in trading costs, it blows up most short-term trading strategies that might otherwise look profitable.
There is an assumption that it will "always come back" and that you "HODL" through the crash and "buy more." This is why Three Arrows Capital, a $10 billion dollar crypto hedge fund is now in bankruptcy, and no one can find the owners. This is also why many that trade crypto are drawn down 60-70% right now. There are bad risk practices in place, like thinking the martingale gambling strategy is the same as dollar cost averaging while also using those terms interchangeably. They are not the same. The 1st will blow up your trade account, and the 2nd will reduce timing risk. Many people are systematically blowing up their trade accounts/strategies by using martingale and calling it dollar cost averaging. The more risk you are exposing yourself too, the more important your risk management strategy is.
There is an odd assumption some have that you can buy anything and win with technical/quantitative analysis. Technical analysis does not tell you what you should buy, it just tells you when. If you are running a strategy that is going long on an asset that lost 80% of its value in the last year, then your strategy is probably down. That same strategy might be up on a different asset. One might consider a different methodology on choosing assets to trade.
Lastly, most strategies are over-fit, or curve-fit. The more complicated and more parameters/settings you have in your model, the more likely it is just fit to historical data and will not perform similar in live trading. This is one of the reasons why I like simple models with few parameters. They are less likely to be over-fit to historical data. If the strategy only works with 1 set of parameters, and there isn't a range of parameters around it that create alpha, then your strategy is over-fit and is probably not suitable for live trading.
So, what can I do about all of this!?
I created the VIDYA Trend Strategy to provide an example of how one might create a basic model with a basic risk management strategy that might generate long term alpha on a volatile asset, like cryptocurrency. This is one (of many) risk management strategies that can reduce the volatility of your returns when trading any asset. I chose the Variable Index Dynamic Average (VIDYA) for this example because it's calculation filters out some market noise by taking into account the volatility of the underlying asset. I chose a trend following strategy because regressions are capturing behaviors that are not just specific to the equities market.
The more volatile an asset, the more you have to back-off the short term price movement to effectively trend-follow it. Otherwise, you are constantly buying into short term trends that don't represent the trend of the asset, then they reverse and loose money. This is why I am applying a trend following strategy to a 4 hour chart and not a 4 minute chart. It is also important to note that following these long term trends on a volatile asset exposes you to additional risk. So, how might one mitigate some of that risk?
One of the ways of reducing timing risk is scaling into a trade. This is different from "doubling down" or "trippling down." It is really a basic application of dollar cost averaging to reduce timing risk, although DCA would typically happen over a longer time period. If it is really a trend you are following, it will probably still be a trend tomorrow. Trend following strategies have lower win rates because the beginning of a trend often reverses. The more volatile the asset, the more likely that is to happen. However, we can reduce risk of buying into a reversal by slowly scaling into the trend with a small % of equity per trade.
Our example "VIDYA Trend Strategy" executes this by looking at a medium-term, volatility adjusted trend on a 4 hour chart. The script scales into it with 4% of the account equity every 4-hours that the trend is still up. This means you become fully invested after 25 trades/bars. It also means that early in the trade, when you might be more likely to experience a reversal, most of your account equity is not invested and those losses are much smaller. The script sells 100% of the position when it detects a trend reversal. The slower you scale into a trade, the less volatile your equity curve will be. This model also includes slippage and commissions that you can adjust under the "settings" menu.
This fundamental concept of reducing timing risk by scaling into a trade can be applied to any market.
Disclaimer: This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Smart Money - Oscillator and Volume StrategyOverview
This is a no-repaint strategy that is highly optimized for BINANCE:ETHUSDTPERP 30m, normal candles. It is a long/short strategy that is based on CMF, ADX/DMI, Keltner Channels, and other oscillators to identify smart money.
The overall idea of the strategy is to effectively capture the beginnings and ends of trends in price action, and go long/short accordingly. To achieve this, potential entry points are identified with various oscillators and these are then filtered using a variety of moving averages and strength/momentum indicators.
Short and sell inflections are found when ADX, DMI, and/or CMF oscillate below a specified threshold, and Keltner Channels are also used to indicate potential trades.
The indicator will continue to be updated and optimized for current and future market conditions.
If purchased, access to the indicator will be available within 24 hours.
Backtest Results
Parameters:
- 2021-01-01 to present (19 months)
- 100% equity order size
- 0.04% commission fees
- No leverage
17,089% net profit through 296 trades with 60.47% of trades being profitable.
Profit factor of 2.862, Sharpe Ratio of 1.158
Parameters:
- 2021-01-01 to present (19 months)
- $1,000 initial capital
- $1,000 order size
- 0.04% commission fees
- No leverage
584% net profit through 296 trades with 60.47% of trades being profitable.
Parameters:
- 2021-01-01 to present (19 months)
- 500% equity order size
- 0.04% commission fees
- 5x leverage
8,587,557% net profit through 299 trades with 59.87% of trades being profitable.
Short Swing Bearish MACD Cross (By Coinrule)This strategy is oriented towards shorting during downside moves, whilst ensuring the asset is trading in a higher timeframe downtrend, and exiting after further downside.
This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels. Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it.
ENTRY
This script utilises the MACD indicator accompanied by the Exponential Moving Average (EMA) 450 to enter trades. The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 11-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
The EMA 450 is used as additional confirmation to prevent the script from shorting when price is above this long-term moving average. Once price is above the EMA 450 the script will not open any shorts - preventing the rule from attempting to short uptrends. Due to this, this strategy is ideal for setting and forgetting.
The script will enter trades based on two conditions:
1) When the MACD signals a bearish cross. This occurs when the EMA 11 crosses below the EMA 26 within the MACD signalling the start of a potential downtrend.
2) Price has closed below the EMA 450. Price closing below this long-term EMA signals that the asset is in a sustained downtrend. Price breaking above this could indicate a bullish strength in which shorting would not be profitable.
EXIT
This script utilises a set take-profit and stop-loss from the entry of the trade. The take profit is set at 8% and the stop loss of 4%, providing a risk reward ratio of 2. This indicates the script will be profitable if it has a win ratio greater than 33%.
Take-Profit Exit: -8% price decrease from entry price.
OR
Stop-Loss Exit: +4% price increase from entry price.
Based on backtesting results across a selection of assets, the 45-minute and 1-hour timeframes are the best for this strategy.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
The backtesting data was recorded from December 1st 2021, just as the market was beginning its downtrend. We therefore recommend analysing the market conditions prior to utilising this strategy as it operates best on weak coins during downtrends and bearish conditions, however the EMA 450 condition should mitigate entries during bullish market conditions.
Rate Of Change Trend Strategy (ROC)This is very simple trend following or momentum strategy. If the price change over the past number of bars is positive, we buy. If the price change over the past number of bars is negative, we sell. This is surprisingly robust, simple, and effective especially on trendy markets such as cryptos.
Works for many markets such as:
INDEX:BTCUSD
INDEX:ETHUSD
SP:SPX
NASDAQ:NDX
NASDAQ:TSLA
Breakout Finder Strategy by The Accumulation ZoneThe Breakout Strategy:
Indicators used:
Least Squared Moving Average by Tradingview
Smoothed Moving Average by Tradingview
MACD Support Resistance by venkatachari_n
About this Strategy:
This strategy is based on spotting a particular activity pattern involving the above listed indicators:
A fast moving average that will track closely with price while still smoothing out some price chop
A slower least squared moving average to help gauge short-term momentum
MACD Support and Resistance to help identify longer-term trends and potentially serve to also guide directional bias
If all entry conditions are met, the strategy enters a position. As well as sending an alert message for the Entry, TP/SL Signals
Long Condition:
Price close above MACD S/R Line
SMMA crossed MACD S/R Line to the upside
LSMA crossed MACD S/R Line to the upside
Short Condition:
Price close below MACD S/R Line
SMMA crossed MACD S/R Line to the downside
LSMA crossed MACD S/R Line to the downside
Strategy Settings
SL based on ATR Bands (0.9 ATR Multiplier recommended*)
TP based on RR (1.5 RR recommended*)
Optional EMA Filter (If set to 0 -> disabled)
Session Filter
Custom Strategy Backtesting Dashboard (Risk = 5%*)
*Recommended for a Daily BTC/USDT Chart
Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2
This script was originally shared by Wunderbit as a free open source script for the community to work with. This is my second published iteration of this idea.
WHAT THIS SCRIPT DOES:
It is intended for use on an algorithmic bot trading platform but can be used for scalping and manual trading.
This strategy is based on the trend-following momentum indicator . It includes the Money Flow index as an additional point for entry.
This is a new and improved version geared for lower timeframes (15-5 minutes), but can be run on larger ones as well. I am testing it live as my high frequency trader.
HOW IT DOES IT:
It uses a combination of MACD and MFI indicators to create entry signals. Parameters for each indicator have been surfaced for user configurability.
Take profits are now trailing profits, and the stop loss is now fixed. Why? I found that the trailing stop loss with ATR in the previous version yields very good results for back tests but becomes very difficult to deploy live due to transaction fees. As you can see the average trade is a higher profit percentage than the previous version.
HOW IS MY VERSION ORIGINAL:
Now instead of using ATR stop loss, we have a fixed stop loss - counter intuitively to what some may believe this performs better in live trading scenarios since it gives the strategy room to move. I noticed that the ATR trailing stop was stopping out too fast and was eating away balance due to transaction fees.
The take profit on the other hand is now a trailing profit with a customizable deviation. This ensures that you can have a minimum profit you want to take in order to exit.
I have depracated the old ATR trailing stop as it became too confusing to have those as different options. I kept the old version for others that want to experiment with it. The source code still requires some cleanup, but its fully functional.
I added in a way to show RSI values and ATR values with a checkbox so that you can use the new an improved ATR Filter (and grab the right RSI values for the RSI filter). This will help to filter out times of very low volatility where we are unlikely to find a profitable trade. Use the "Show Data" checkbox to see what the values are on the indicator pane, then use those values to gauge what you want to filter out.
Both versions
Delayed Signals : The script has been refactored to use a time frame drop down. The higher time frame can be run on a faster chart (recommended on one minute chart for fastest signal confirmation and relay to algotrading platform.)
Repainting Issues : All indicators have been recoded to use the security function that checks to see if the current calculation is in realtime, if it is, then it uses the previous bar for calculation. If you are still experiencing repainting issues based on intended (or non intended use), please provide a report with screenshot and explanation so I can try to address.
Filtering : I have added to additional filters an ABOVE EMA Filter and a BELOW RSI Filter (both can be turned on and off)
Customizable Long and Close Messages : This allows someone to use the script for algorithmic trading without having to alter code. It also means you can use one indicator for all of your different alterts required for your bots.
HOW TO USE IT:
It is intended to be used in the 5-30 minute time frames, but you might be able to get a good configuration for higher time frames. I welcome feedback from other users on what they have found.
Find a pair with high volatility (example KUCOIN:ETH3LUSDT ) - I have found it works particularly well with 3L and 3S tokens for crypto. although it the limitation is that confrigurations I have found to work typically have low R/R ratio, but very high win rate and profit factor.
Ideally set one minute chart for bots, but you can use other charts for manual trading. The signal will be delayed by one bar but I have found configurations that still test well.
Select a time frame in configuration for your indicator calculations.
Select the strategy config for time frame (resolution). I like to use 5 and 15 minutes for scalping scenarios, but I am interested in hearing back from other community memebers.
Optimize your indicator without filters : customize your settings for MACD and MFI that are profitable with your chart and selected time frame calculation. Try different Take Profits (try about 2-5%) and stop loss (try about 5-8%). See if your back test is profitable and continue to optimize.
Use the Trend, RSI, ATR Filter to further refine your signals for entry. You will get less entries but you can increase your win ratio.
You can use the open and close messages for a platform integration, but I choose to set mine up on the destination platform and let the platform close it. With certain platforms you cannot be sure what your entry point actually was compared to Trading View due to slippage and timing, so I let the platform decide when it is actually profitable.
Limitations: this works rather well for short term, and does some good forward testing but back testing large data sets is a problem when switching from very small time frame to large time frame. For instance, finding a configuration that works on a one minute chart but then changing to a 1 hour chart means you lose some of your intra bar calclulations. There are some new features in pine script which might be able to address, this, but I have not had a chance to work on that issue.
CryptoAlgo DCA / AccumulationThis is a Dollar Cost Average (DCA) / Accumulation strategy. Every time there is a long signal it will buy a fixed USD amount that you have specified in the settings and keep buying at the dips and corrections in the market. This strategy is low-risk, however it assumes you have a long time horizon of at least 2+ years. The longer your holding-period, the better your returns.
There is 3 different entry conditions you can choose from:
The first entry condition is bollinger bands. Bollinger bands is a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of an assets price. Every time a candle closes below the lower trendline the strategy will buy.
The second entry condition is the Relative Strength Index (RSI). The RSI is a momentum indicator used in technical analysis that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. Every time the RSI is meaning oversold and goes below a point of your choosing the strategy will buy.
The third entry condition is based on pivot points and moving averages that will determine small term trend changes in the market and low price points. Every time there is a bullish trend reversal the strategy will buy.
All three of these entry conditions can be controlled by a higher timeframe RSI that will stop entries when the RSI is above a certain point where the market is overbought and not ideal for accumulation.
The take profits in this strategy is dynamic and will signal trend changes like the third entry condition by using pivot points and moving averages. Since this is a DCA/ Accumulation strategy and will accumulate for the long term it will only exit a small percentage of the accumulated position. This will ensure that you take profit as the asset is appreciating in price while keeping the majority of the position for greater profit in the future.
At the bottom right corner of the chart you will be able to see the key results of the DCA
The first reading is the Average amount USD that the strategy is investing on average every month. This value will help you identify the best settings for you and what USD amount the strategy should enter at the signals so that it stays below the amount you are willing to invest every month. Keep in mind that this is an average and that there will be a lot of deviation up or down based on where the market is going. If the market is having a correction the strategy will signal a lot more entries than when it is going up.
The second reading is the average profit per month. This is also an average and the result will go up exponentially from the starting point as the strategy accumulates and the market appreciates in price.
The third reading is the position average price. This is the average price all the accumulated USD in the asset.
The fourth reading is the total profit. This is the result of both the realised profit from taking profit and the accumulated usd amount left in the position.
The last reading is the performance score. This is a scoring system that i created that looks at the data from the readings and weighs it based on importance and then spits out a number that will help identify the best settings. The higher the number the better the performance, meaning more profit and better DCA.
When you have found the right settings you can insert the messages from your automatic trading platform at the bottom of the inputs and then create an alert with your unique webhook address along with the alert message below:
{{strategy.order.alert_message}}
You will be able to adjust all parameters in the settings.
Enjoy!
Customizable Non-Repainting HTF MACD MFI Scalper Bot StrategyThis script was originally shared by Wunderbit as a free open source script for the community to work with.
WHAT THIS SCRIPT DOES:
It is intended for use on an algorithmic bot trading platform but can be used for scalping and manual trading.
This strategy is based on the trend-following momentum indicator . It includes the Money Flow index as an additional point for entry.
HOW IT DOES IT:
It uses a combination of MACD and MFI indicators to create entry signals. Parameters for each indicator have been surfaced for user configurability.
Take profits are fixed, but stop loss uses ATR configuration to minimize losses and close profitably.
HOW IS MY VERSION ORIGINAL:
I started trying to deploy this script myself in my algorithmic trading but ran into some issues which I have tried to address in this version.
Delayed Signals : The script has been refactored to use a time frame drop down. The higher time frame can be run on a faster chart (recommended on one minute chart for fastest signal confirmation and relay to algotrading platform.)
Repainting Issues : All indicators have been recoded to use the security function that checks to see if the current calculation is in realtime, if it is, then it uses the previous bar for calculation. If you are still experiencing repainting issues based on intended (or non intended use), please provide a report with screenshot and explanation so I can try to address.
Filtering : I have added to additional filters an ABOVE EMA Filter and a BELOW RSI Filter (both can be turned on and off)
Customizable Long and Close Messages : This allows someone to use the script for algorithmic trading without having to alter code. It also means you can use one indicator for all of your different alterts required for your bots.
HOW TO USE IT:
It is intended to be used in the 5-30 minute time frames, but you might be able to get a good configuration for higher time frames. I welcome feedback from other users on what they have found.
Find a pair with high volatility (example KUCOIN:ETH3LUSDT ) - I have found it works particularly well with 3L and 3S tokens for crypto. although it the limitation is that confrigurations I have found to work typically have low R/R ratio, but very high win rate and profit factor.
Ideally set one minute chart for bots, but you can use other charts for manual trading. The signal will be delayed by one bar but I have found configurations that still test well.
Select a time frame in configuration for your indicator calculations.
Select the strategy config for time frame. I like to use 5 and 15 minutes for scalping scenarios, but I am interested in hearing back from other community memebers.
Optimize your indicator without filters (trendFilter and RSI Filter)
Use the TrendFilter and RSI Filter to further refine your signals for entry. You will get less entries but you can increase your win ratio.
I will add screenshots and possibly a video provided that it passes community standards.
Limitations: this works rather well for short term, and does some good forward testing but back testing large data sets is a problem when switching from very small time frame to large time frame. For instance, finding a configuration that works on a one minute chart but then changing to a 1 hour chart means you lose some of your intra bar calclulations. There are some new features in pine script which might be able to address, this, but I have not had a chance to work on that issue.
Best TradingView Strategy - For NASDAQ and DOW30 and other IndexThe script is totally based on momentum , volume and price. We have used :
1: Bollinger Band Squeezes to know when a breakout might happen.
2: Used Moving Averages(SMA and EMA) to know the direction.
3: The success Rate of this strategy is above 75% and if little price action is added it can easily surpass 90% success mark.
4: Do not worry about drawdowns , we have implemented trailing SL ,so you might see a little extra drawdown but in reality its pretty less.
5: I myself have tested this strategy for 41 days with a 250$ account and right now I have 2700$.
Fukuiz Octa-EMA + Ichimoku (Strategy)This strategy is based EMA of 8 different period and Ichimoku Cloud which works better in 1hr 4hr and daily time frame.
#A brief introduction to Ichimoku #
The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
#A brief introduction to EMA#
An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average . An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average ( SMA ), which applies an equal weight to all observations in the period.
#How to use#
The strategy will give entry points itself, you can monitor and take profit manually(recommended), or you can use the exit setup.
EMA (Color) = Bullish trend
EMA (Gray) = Bearish trend
#Condition#
Buy = All Ema (color) above the cloud.
SELL= All Ema turn to gray color.
Dynamic length MA Strategy [Dynamic Signal Lab]Dear TV'ers,
Hereby the strategy for the dynamic moving average crossover, with some flexible taking profit options.
All moving averages have the option to dynamically change lengths and different source options. They include:
* Hull MA
* volume-weighted Hull MA
* Simple MA
* Money Flow Index
* Chande Momentum Oscilator
* Arnaud Legoux MA
* Weighted MA
* Linear regression
What makes this strategy special is the fact that you can dynamically shorten the length of moving average length depending on how much you are in profit. The more you are in profit, the shorter the length of the MA will become.
The current default properties should be modified to make this strategy cost-effective, but typically 30minutes and higher timeframes seem to work well for larger (top10 cap) crypto projects. Dont use this script for small-caps as it will get you rekt.
Additionally, you'll also be able to continuously take profit, making sure you lock in all those sweet profits.
Use this script for doing backtesting and the indicator compagnon to fire your alerts.
Multi Entry Signal Strategy by TradeSmartThis strategy is intended to test different entry signals. You can use 13 different entry signals in the strategy.
Available signals with all their settings:
Heikin Ashi
RSI + EMA
Wavetrend
MACD
Stochastic RSI
Squeeze Momentum
Kairi Relative Index
SSL
Supertrend
Parabolic SAR
Chandelier Exit
Directional Movement Index
Quantitative Qualitative Estimation
For exact rules of entries please relate to the tooltips of each entry signal. All the signals can be used together or separately in the strategy.
Additional settings that can be used:
Trend Filter (limit long or short entries based on a moving average of your choice)
Exit Strategy settings (ATR is used to determine stop loss and take profit levels)
Trailing Loss Setups (you can use 3 different types of trailing losses)
Setups (you can set Long and Short entries as well as the order size based on either Capital % or Risk %)
Date Range (you can limit trades to specific date ranges)
Trading Time (you can limit on which days to trade)
Follow The Ranging HullThis is a scalping strategy, trying to make quick points based on momentum and trend trading.
Entry Points are when either the range filter or the the following line changes colour. And the Hull is in that same direction.
--The Strategy Only enters on range filter entry point for now.
This Strategy has been tested on the NASDAQ 1 min, And works best with low timeframes.
Set the IsStrategy on the settings to true, to activate the strategy.
Make sure the Dates are correct .
Credits:
Hull Suite by InSilico www.tradingview.com
Range Filter Buy and Sell 5 min www.tradingview.com
Follow Line Indicator by Dreadblitz www.tradingview.com
RSI, EMA, SMA Trendtrading - Oil Daytrading 1HThe Unitrend trading System produces trading recommendations on a pure Trend basis.
It is a Score based system.
--- How to use the System --
Simply adjust your capital you want to risk per trade and your TP Factor.
The TP Factor is the multiple of your risked Capital, also known as Risk/Reward ratio.
Furthermore you can toggle between a always Buy mode, to see if the System is better then market.
Compounding mode helps you to get a better understanding of your maximum drawdown with a total equity based approach.
--- How are Signals produced? ---
A score of 2 or 3 is a BUY signal.
You can count the score by looking at the lines above 1, or by reading the color.
Green is 3, yellow 2, orange 1 and red is 0.
The score is calculated by 3 conditions.
Each applying condition yields one point for the score.
The score resets each bar.
The rules are:
RSI > 45: Well known indicator, usually looks for reversal points but seems to produce above average results when above 45.
EMA(RSI) > SMA(RSI): My approach to momentum detection for the RSI movement, I consider a faster growing RSI as a good thing.
EMA(close) > SMA(close): My approach to trend detection for the market movement. Common Wisdom would be a fast SMA > slow SMA which I found to be too slow for the modern market.
Uptrend and Oversold Index Swing Trading System 8H--- Foreword ---
The Overbought and Oversold Index Swing Trading System or short: I11L Hypertrend primarily uses money management Strategies, EMA and SMA and my momentum Ideas for trying to produce satisfactory Alpha over a timespan of multiple years.
--- How does it Work? ---
It uses 20 different EMA's and SMA's to produce a score for each Bar.
It will credit one Point If the EMA is above the SMA.
A high score means that there is a strong Uptrend.
Spotting the strong Uptrend early is important.
The I11L Hypertrend System trys to spot the "UPTREND" by checking for a crossover of the Score(EMA) / Score(SMA).
A low score means that there is a strong Downtrend.
Its quite common to see a reversal to the mean after a Downtrend and spotting the bottom is important.
The System trys to spot the reversal, or "OVERSOLD" state by a crossunder of the Score(EMA) / Score(SMA).
--- What can i customize? ---
-> Trading Mode: You can choose between two different trading modes, Oversold and Overbought(trend) and Random Buys to check if your systems Profitfactor is actually better then market.
-> Work with the total equity: The system uses the initial capital per default for Backtesting purposes but seeing the maximum drawdown in a compounding mode might help!
-> Use a trailing SL: A TSL trys to not lose too much if the trade goes against your TP
-> Lookbackdistance for the Score: A higher Lookbackdistance results in a more lagging indicator. You have to find the balance between the confirmation of the Signal and the frontrunning.
-> Leverage: To see how your strategie and your maximum Drawdown with the total equity mode enabled would have performed.
-> Risk Capital per Trade unleveraged: How much the underlying asset can go against your position before the TSL hits, or the SL if no TSL is set.
-> TPFactor: Your risk/reward Ratio. If you risk 3% and you set the ratio to 1.2, you will have a TP at 3 * 1.2 = 3.6%
-> Select Date: Works best in the 8H Timeframe for CFD's. Good for getting a sense of what overfitting actually means and how easy one can fool themself, find the highest Profitfactor setting in the first Sector (Start - 2012) and then see if the second Sector (2012 - Now) produces Alpha over the Random Buy mode.
--- I have some questions about the System ---
Dear reader, please ask the question in the comment Section and i will do my best to assist you.
Unicorn Quant Strategy [Astride Unicorn]Deeply customizable trading algorithm with instant back-testing. Its position management and trading signals engines emulate every step of the trading process and display all the actions on the chart. For example, the algorithm shows when to enter or partially close a position, move stop-loss to breakeven, etc. The trader can use these signals in their decision-making and replicate these actions in their trading terminal. The script can also send real-time alerts to the user’s Email.
The trading signals feature calculates entry signals for momentum and trend trading. The calculation is based on trend filtering using our custom filter based on rolling historical volatility. The historical volatility is used to distinguish the market regime and determine the current trend direction. In its calculations, the algorithm uses linear regressions instead of averaging. As our practice shows, it helps to reduce signal lag while keeping the number of false signals low.
HOW TO USE
Set stop-loss and up to three take-profit levels, choose rules for moving the stop-loss level, adjust sensitivity of the entry signals and see the back-test result immediately. If the performance of the strategy satisfies you, proceed with the forward-testing or live-trading.
When using this script, please, keep in mind that past results do not necessarily reflect future results and that many factors influence trading results.
SETTINGS
Use Starting Date - when the flag is turned off, the algorithm uses all available pricing data to calculate back-tests; when turned on, back-tests start from a starting date the user can select in the setting below.
Starting Date - sets a starting date for back-testing.
Trading Signals
Trade Length - defines the length of the trades the algorithm tries to calculate entry signals for. Recommended values are from 1.0 to 6.0.
Sensitivity - controls the sensitivity of the trading signals algorithm. The sensitivity determines the density of trading signals and how close the trailing-stop levels follow the price. The higher the value of this parameter is, the less sensitive the algorithm is. High values of the Sensitivity parameters (100-500) can help to withstand large price swings to stay in longer price moves. Lower values (10-100) work well for short- and medium-term trades.
Signals Type - In the Signals Type dropdown list, there are two options: Market Timing and Market Bias. Market timing is a type of trading signaling when the algorithm tries to find a perfect moment to enter and exit a trade. Market Bias is the type of trading signaling when the algorithm tries to be in a position all the time. When a trade is closed, the algorithm determines a direction to which the market is currently “biased” and immediately opens a trade in this direction.
Position Management
SL - sets stop-loss level measured as a percentage of the trade entry price
TP1, TP2, TP3 - sets take-profit levels measured as a percentage of the trade entry price
Close % at TP1, Close % at TP2, Close % at TP3 - Sets portions of the open position(as a percentage of the initial order size) to close at each of the TP levels
At TP1 move SL to, At TP2 move SL to - Sets the rules for moving stop-loss level in an open trade to protect the floating profit
Dashboards
Active Position Information - turns on/off a dashboard that shows the current SL and TP levels for the active position.
Recommended SL,TP Settings - turns on/off a dashboard that shows recommended settings for the SL and TP levels.
BTC BOT [15min]This BOT is specialy designed for BTCUSDT 15 min Chart. It reacts to every Upward/Downward direction as fast as possible. It does not work well on higher time frame.
This BOT using 10 indicators to open a basic LONG/SHORT position.
1. CLOUD
2. TREND DETECTOR
3. TREND STRENGTH
4. PARABOLIC SAR
5. JMA
6. RANGE FILTER
7. ADX
8. TWAP TREND
9. FAST MA
10. MOMENTUM
This BOT also use 02 independent strategies for entering positions.
1. REVESALS (RSI Crossovers)
2. SCALPING (It can increase net profit but it can be risky)
ADX is the main component of this BOT.
This is purely BTC 15min strategy but this BOT could be easily convert into Altcoins Scalper.
pi RSI StrategypiRSI Strategy is based on my relative strength index indicator pi RSI because it uses the first 15 sequential numbers in Archimedes constant "pi" 3.14159265358979.. I felt that the never ending, non-repeated number, pi, was a good candidate for an input that tracks the constantly changing trends these days.
This is a price momentum strategy that helps you evaluate overbought or oversold conditions. By the default colors, when the white line is above the purple it's going bullish. And when the white line is under the purple it's going bearish.
Also, on the scale, 50 is neutral, below 25 is getting oversold and above 75 is getting overbought. This strategy is useful in conjunction with other price and volume indicators / strategies to help redundantly confirm future price action.
I've spent exhaustive effort on new research & development, engineering, back testing accuracy, real time capital testing, & future version revision of my trading indicator / strategy scripts.
Co-relation and St-deviation Strategy - BNB/USDT 15minThis indicator based on statistical analysis. it uses standard deviation and its co-relation to price action to generate signals. and following indicators has been used to calculate standard deviation and its co-relation values. finally it is capable to identify market changes in bottoms to pic most suitable points.
1. Parabolic SAR (parabolic stop and reverse)
2. Supertrend
3. Relative strength index (RSI)
4. Money flow index (MFI)
5. Balance of Power
6. Chande Momentum Oscillator
7. Center of Gravity (COG)
8. Directional Movement Index (DMI)
9. Stochastic
10. Symmetrically weighted moving average with fixed length
11. True strength index (TSI)
12. Williams %R
13. Accumulation/distribution index
14. Intraday Intensity Index
15. Negative Volume Index
16. Positive Volume Index
17. On Balance Volume
18. Price-Volume Trend
19. True range
20. Volume-weighted average price
21. Williams Accumulation/Distribution
22. Williams Variable Accumulation/Distribution
23. Simple Moving Average
24. Exponential Moving Average
25. CCI (commodity channel index)
26. Chop Zone
27. Ease of Movement
28. Detrended Price Oscillator
29. Advance Decline Line
30. Bull Bear Power
