Rhaps SMAEMA Combo v1.1There's many versions of this sort of thing around the Tradingview library, but i guess we all like things to our own specifications.
So this is my take on the SMA and EMA version combined.
Bunch of SMA's & EMA's, with labels, and G&D Cross Labels and Alerts.
These values can of course be changed to any you may prefer.
Rhapsodyy's Combo SMAEMA's v1.1
SMA's with Painted Labels : 10/30/50/80/200
EMA's with Painted Labels : 21/50/89/200/377
50SMA / 200SMA Golden & Death Crosses on Current Timeframe & Alerts
Daily 50SMA / 200SMA Golden & Death Crosses overlayed onto Current Timeframe & Alerts
50EMA / 200EMA Golden & Death Crosses on Current Timeframe & Alerts
Daily 50EMA / 200EMA Golden & Death Crosses overlayed onto Current Timeframe & Alerts
Komut dosyalarını "alert" için ara
T-Step LSMAIntroduction
The trend step indicator family has produced much interest in the community, those indicators showed in certain cases robustness and reactivity. Their ease of use/interpretation is also a major advantage. Although those indicators have a relatively good fit with the input price, they can still be improved by introducing least-squares fitting on their calculations. This is why i propose a new indicator (T-Step LSMA) which aim to gather all the components of the trend-step indicator family (including the auto-line family).
The indicator will use as a threshold the mean absolute error between the input and the output (T-Channel) scaled with the efficiency ratio (Efficient Trend Step) while using least squares in order to provide a better fit with the price (Auto-Filter).
The Indicator
The interpretation of the indicator is easy, the indicator estimate an up-trending market when in blue, down-trending when in orange, the signal only depend on the trend-step part ( b in the code).
length control the period of the efficiency ratio as well as any components in the lsma calculation. The efficiency ratio allow to provide adaptivity, therefore the threshold will be lower when market is trending and higher when market is ranging.
Sc control the amount of feedback of the indicator, a value of 1 will use only the closing price as input, a value of 0.5 will use 50% of the closing price/indicator output as input, this allow to get smoother results.
It is possible to get the non-smooth version of the indicator by checking "No Smoothing".
This allow the indicator to filter more information.
Least Squares Smoothing - Benefits
One could ask why introducing least squares smoothing, there are several reasons to this choice, we have seen that trend-step indicators are boxy, they filter most of the variational information in the price, introducing least squares smoothing allow to gain back some of this variational information while providing a better fit with the price, the indicator is more noisy but also more practical in certain situations.
For example the indicator in its boxy form can't really be useful as input for other indicators, which is not the case with this version.
Relative strength index of period 14 using the proposed indicator as input.
Down-Sides
The indicator is dependent on the time frame used, larger time frames resulting in an indicator overfitting, sticking with lower time frames might be ideal. The indicator behavior might also change depending on the market in which it is applied.
Setting Up Alerts For The Indicator
Alerts conditions are already set, in order to create an alert based on the indicator follow these steps :
Go to the alert section (the alarm clock) -> create new alert -> select T-Step LSMA in condition -> Below select Up or Dn (Up for a up-trending alert and Dn for a down-trending alert)
In option select "once per bar close", change the message if you want a personalized message.
Conclusion
I don't think i'll post other indicators related to the trend-step framework for the time to comes, nonetheless the ones posted proven to have interesting results as well as many upsides. Although i don't think they would generate positive long-terms returns they could still be of use when using smarter volatility metrics as threshold. The proposed indicator conserve more information than its relatives and might find some use as input for other indicators.
Recommended Use Of The Code
Although i don't put restrictions on the code usage, i still recommend creative and pertinent changes to be made, graphical changes or any minor changes are not necessary, remember that such practice is disrespectful toward the author, you don't want to load up the tradingview servers for nothing right ?
Support Me
Making indicators sure is hard, it takes time and it can be quite lonely to, so i would love talking with you guys while making them :) There isn't better support than the one provided by your friends so drop me a message.
RePaNoCHa [Alerts]Script for automatic trading with Alerts (Use Backtest to customize your own settings)
All timeframes but good results on 2H.
LG --> Long
ST --> Short
TS --> Trailing Stop
xL --> Close Long Position
xS --> Close Short Position
SL --> Stop Loss
The trailing stop closes the trade if the price changes direction by a specified percentage or offset. There is no ideal distance because markets and price are always changing and we know that is impossible to exit on the top or bottom. This script interpolate the trailing Stop Offset with profit, higher profit -- > higher Trailing Stop Offset. Despite this, it's difficult to catch the price. If someone comes up with a good idea, comment, I'm happy to learn.
No security() function so no repaint but has time() and can appear a warning for it.
Alerts:
'Once per bar' More profit but not confirmed alerts (10-20% fake alerts)... I like risk
'Once per bar close' Confirmed alerts (0% fake alerts)... You will sleep better
Some settings:
XBTUSD (BITMEX)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 Length = 5
T3 Volume Factor = 0.9
Sampling Period = 16
Range Multiplier = 1.3
ADX lenght = 10
ADX Threshold = 20
SAR start = 0.07
SAR inc = 0.02
SAR max = 0.15
Pyramiding = 10
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.35
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss = 3.5
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
ETHUSD (BITMEX)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 Length = 5
T3 Volume Factor = 0.7
Sampling Period = 13
Range Multiplier = 0.9
ADX lenght = 11
ADX Threshold = 19
SAR start = 0.06
SAR inc = 0.03
SAR max = 0.15
Pyramiding = 10
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.35
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss = 4
Tics/Pips Correction = 100
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
BNBUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 Length = 3
T3 Volume Factor = 1.6
Sampling Period = 17
Range Multiplier = 1.3
ADX lenght = 5
ADX Threshold = 18
SAR start = 0.04
SAR inc = 0.03
SAR max = 0.25
Pyramiding = 10
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.4
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 10000
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
LTCUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 Length = 3
T3 Volume Factor = 1.6
Sampling Period = 11
Range Multiplier = 1.1
ADX lenght = 6
ADX Threshold = 22
SAR start = 0.07
SAR inc = 0.04
SAR max = 0.15
Pyramiding = 10
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.4
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 100
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
TRXUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 Length = 3
T3 Volume Factor = 0.9
Sampling Period = 8
Range Multiplier = 1.2
ADX lenght = 4
ADX Threshold = 22
SAR start = 0.07
SAR inc = 0.04
SAR max = 0.15
Pyramiding = 10
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.4
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 100000
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
NAS100 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 Length = 3
T3 Volume Factor = 1
Sampling Period = 12
Range Multiplier = 1.3
ADX lenght = 18
ADX Threshold = 21
SAR start = 0.08
SAR inc = 0.06
SAR max = 0.25
Pyramiding = 10
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.15
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss = 1.8
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 3 contracts
Commission value = 0.2 USD per contract
NATGAS(OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 Length = 3
T3 Volume Factor = 1
Sampling Period = 18
Range Multiplier = 1.1
ADX lenght = 10
ADX Threshold = 17
SAR start = 0.1
SAR inc = 0.04
SAR max = 0.35
Pyramiding = 10
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.15
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss = 1.6
Tics/Pips Correction = 1000
Initial Capital = 1000
Quantity = 4500 contracts
Commission value = 0.002 USD per contract
SPX500 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 Length = 3
T3 Volume Factor = 0.6
Sampling Period = 14
Range Multiplier = 1.3
ADX lenght = 12
ADX Threshold = 17
SAR start = 0.23
SAR inc = 0.05
SAR max = 0.2
Pyramiding = 10
Trailing Stop Activation % = 0.15
Trailing Stop Offset % (when profit=0.5 %) = 0.1
Trailing Stop Offset % (when profit=10 %) = 0.75
Stop Loss = 1.5
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 8 contracts
Commission value = 0.2 USD per contract
US30 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 Length = 4
T3 Volume Factor = 0.9
Sampling Period = 11
Range Multiplier = 1.1
ADX lenght = 16
ADX Threshold = 24
SAR start = 0.08
SAR inc = 0.03
SAR max = 0.05
Pyramiding = 10
Trailing Stop Activation % = 0.15
Trailing Stop Offset % (when profit=0.5 %) = 0.1
Trailing Stop Offset % (when profit=10 %) = 0.75
Stop Loss = 1.5
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 1 contracts
Commission value = 1.5 USD per contract
WHEAT (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 Length = 3
T3 Volume Factor = 1.1
Sampling Period = 12
Range Multiplier = 1
ADX lenght = 13
ADX Threshold = 21
SAR start = 0.07
SAR inc = 0.05
SAR max = 0.15
Pyramiding = 10
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.15
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss = 2.5
Tics/Pips Correction = 1000
Initial Capital = 1000
Quantity = 2500 contracts
Commission value = 0.003 USD per contract
Dragon-Bot - Default ScriptDragon-Script is a framework to make it as easy as possible to test your own strategies and set alerts for external execution bots. This is the alerts version of the script.
The script has many features build in, like:
1) A ping/pong mechanism between longs and shorts
2) A stop-loss
3) Trailing Stops with several ways to calculate them.
4) 2 different ways to flip from long to short.
The script is divided into several parts.
The first part of the script is used to set all the variables. You should normally never change the first part except for the comments at the top.
The second part of the script is the part where you initialise all your indicators. Several indicators can be found on Tradingview and on other sites. Please keep in mind that all the variable names used in the indicator should be unique. (all the … = … parts)
The third part of the script, is the most important part of the script. Here you can create the entry and exit points.
Let’s look at the OPENLONG function to explain this part: The first variables are all the possible entries; These are longentry1 till longentry5. You can add many more if you like.
The variables are all initialised as being false. This way the script can set a value to true if an entry happens.
The if function is the actual logic: You could say “if this is true” then (the line below the if function) longentry1 := (becomes) true.
In this case we have said: “if this is true” then (the line below the if function) longentry1 := (becomes) true when the current close is larger than the close that is 1 back.
The last part is the makelong_funct. This part says that if any of the entries are true, the whole function is true.
The last part of the script is the actual execution. Here the alerts are plotted and the back test strategies are opened and closed.
We hope you guys like it and all feedback is welcome!
ANB AI Alert (my ANN)Hi guy
This is a high level trend predicting study. It is modified from the strategy by sirlof.
Feel free to use it as you like.
::USAGE only on 15 minutes
1. add the study in your chart
2. create an alert on the right
3. select ANB AI Alert (my ANN)(0,1D)
4. select the option you wish
5. select once per bar close alert
6. you can select email alert which i usually like
7. once the trade is alerted, execute your trade
TP: DYNAMIC (read more)
SL: null
Setting TP and SL: this is in consideration with the daily volatility and sessions
USDCAD TP 400 points, no stop loss.
To maximize profit, use trailing stops. most trades are 500 to 1800 points
NGRN MACD-X & RSI v4 STRATEGYMACD-X, RSI & Volume Indicator Strategy - Version 4
Overview
This strategy and it's associated study were modeled after the famous Philakone described algorithms on his now defunct instructional video series.
This indicator allows for full customisation of parameters and interaction between three indicators that allow users to shape their trading methods to their desired goals. This associated strategy also allows users to backtest the study alerts script and find the best settings towards that end.
MACD + RSI + VOLUME - are of the most powerful and widely usded indicators, MACD/Histogram crosses, coupled with RSI & Volume increases/decreases will detects areas of deeply oversold / overbought and buys/sells on the reversal
Features
Full customisation - All parameters are open for customising to allow the trader to build their own strategy and adapt from market to market.
Clean/Simple UI - Facilitating ease of use.
Enable Buying OR Selling, - or have them both active at the same time.
Toggle off and on ALTERNATING Buy and Sell feature (pyramiding) - to allow for consecutive DCA style buys or SCALING out of an entry (partial sell).
Customizable Stop-Loss plot - to enable users to create a STOP-LOSS alert option or other alert(s) based on the plot location.
Toggle Auto Stop-Loss sell option - to enable users choose whether or not to automatically issue a sell signal when close crosses stop loss plot, or choose to toggle off if not profitable.
Customizable Take-Profit plot - to enable users to create a TAKE-PROFIT alert option or other alert(s) based on the plot location.
Study and associated Strategy - to use the TradingView ‘Strategy Tester’ back-testing features to find the best alert settings for specific coins in bear, bull and sideways markets.
Changes Version 4
Improved STOP-LOSS plot draw.
Added the option to automatically sell when stop-loss cross triggered or have the option disabled, in the event a better profit can be achieved.
Added new TAKE-PROFIT plot (aqua line) to visually guide users where to place the TAKE-PROFIT parameter as well as give users options to create alerts based on the TAKE-PROFIT plot.
Access
Full Access is 0.1 ETH , one time fee for LIFETIME access to the STUDY indicator, STRATEGY and future updates as well as support and SETTINGS for various markets on the Binance Exchange.
Settings
SCREENSHOT LINKS:
BUY SETTINGS: prntscr.com
SELL SETTINGS: prntscr.com
Commodity Channel Index Plus (CCI+)Same CCI you love, but with a candle highlighter, control over Overbought & Oversold Line placement, and Alert Conditions for Overbought & Oversold and Recoveries, built right in.
Set the Overbought/Oversold Lines anywhere you want... use them to create CCI+ Alerts.
Pharoceus PT-V2 CryptoScalper RSI+BB+SRSI+Stochastic IndicatorThis is the updated Version of the ProfitTrailerV2 RSI+BB+StochRSI+Stochastic Oscillator Signal+Alerts
Description
This is an all-in-one indicator with alerts that most people call signals and it's designed for Cryptocurrency leverage trading. This indicator features, the most popularly used indicators in technical analysis and are the basic technical analysis indicators any successful trader should master before going into more advance technical analysis tools. The Pharoceus ProfitTrailerV2 CryptoScalper RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts features the Bollinger Bands, Relative Strength Index, Stochastic RSI and Stochastic Oscillator, and it was designed for use with Pharoceus ProfitTrailerV2 CryptoScalper and can also be used with all other trading bots or on its own as a powerful market leveraging and trading indicator using alerts.
The ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts can be customized to any trader specific trading patterns and offers the ability to choose a combination of indicators from the featured ones to use. With the Buy and Sell Signal feature, trading on any cryptocurrency exchange can be automated and with the alerts feature, the Pharoceus ProfitTrailerV2 CryptoScalper RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts will automated buying and selling signals for any crypto trading bot but I'll always recommend using for making buys only when using with any bot. This indicator/script can be used with any base pair; BTC, ETH, and USD or USDT.
As mentioned above, all four indicators can be combined to find a very safe and secure buy and profitable sell signals, which maximizes your profit margins and overall earnings over time. Also, 2 or 3 could be combined as well, depending on the traders knowledge on how to use each indicator independently to find its best settings. My recommendation would be to test all independently and or together with very little capital to find what works best for you. I recommend this because the cryptocurrency market in a very volatile market and unpredictable, some combination of indicators would work for some certain coin pairs and not all, while others would work better with a different setting and a particular coin pair.
As with all script use at your own risk and only trade what you can afford to lose, while this indicator isn't designed to lose you money and I will not be held liable for any losses due to misuse. I am also not a financial advisor and the ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts will be made available soon as it's still undergoing rigorous testing and it's in no way and manner affiliated with any group of individuals or bot.
Trade Smart and with only what you can afford. Donations are also welcome to encourage my work, This is a totally free to use script to help traders, small time or big time that works towards making the indicator sharing world accessible to all who will not definitely be ripped-off and support a community of sharing.
discord.gg
BTC: 199qMzu4gvr3bUXWEpLG5uS6TEKKvw5pbe
ETH: 0xf8339952a224a228f2f8c58a5666a8ffleddebfb
BCH: qqmmds8u3f8m6ek387jtefg07525dvaxzqrshd86gz
MG - Fibonacci Alerts - 1.2Updated version of:
The main change with this version, is that the indicator is now always overlayed and the user has to specify where they want the alerts to be displayed on the chart. (New 'Alert Base' and 'Alert Amplitude' properties define where this is shown in the chart and how large the alert spikes are). It also now includes optional bull and sell markers
This update therefore allows us to:
- Show the Fibonacci Levels being used by the indicator
- Plot buy and sell signals at the correct points on the price chart
- Trigger alerts when price reaches a Fibonacci level (without displaying this on the chart, the indicator can't be overlayed on the main chart)
BTC Margin Sniper w/ AlertsMargin Sniper uses 2 levels for overbought and oversold to overlay possible trades on the chart. You can adjust its sensitivity by either increasing or decreasing the overbought and oversold threshold numbers. It must meet one of these levels and the short-term trend has to change direction for it to create the alert and entry on the overlay.
Increasing the overbought input makes the trigger more precise, but it may not trigger as often. Decreasing the oversold input will do the same for that trigger.
You can adjust the alerts and the overlaid position suggestions to match your preferred leverage amount.
To set an alert, click "add alert", then select this script. Choose one of the oversold or overbought alerts and enter your message.
I primarily use this on BitMEX with BTC, but you can use it with other exchanges and coins. You may have to adjust the inputs depending on the coin and the timeframe you use. Do not blindly follow this to make purchases. This is just an alert system to notify you of possible trades.
Grahn Gyllene Kors [Alerts]Grahn Gyllene Kors is the companion study for the Grahn Gyllene Kors strategy...
This is an EMA / Trend Explorer & Strategy useful for identifying trends before EMA's cross and also identifying and experimenting with various EMA lengths and candle trends. There is also a companion Alerts study for this in which trend signals may be sent to the user via sms or email AND/OR buy and sell alerts may be sent to bots for automated trading of this strategy. Once you have optimized your settings and backtested with this strategy, apply your same settings into the Alerts study and create your alerts.
NOTICE: This script does not require access from me, simply open Indicators on chart and search for "Grahn". By accessing this script you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
EMA Fast and EMA Slow - may be adjusted in length and color.
Bullish F>S % - controls what percentage the EMA Fast should be above EMA Slow before considered bullish and is represented by the Green band on the chart.
Neutral % - is what percentage surrounding the EMA Slow should be considered neutral and is represented by the Yellow band on the chart.
Bearish F<S % - controls what percentage the EMA Fast should be below EMA Slow before considered bearish and is represented by the Red band on the chart.
Enable Trend - determines whether Trend Strength is enforced in strategy in addition to EMA divergence.
Bull Candles # - is the number of candles ranging from 0 (off) to 5 that should be consecutively higher in value before considered to be a trend.
Neut Candles # - is the number of candles that should consecutively remain in the Neutral yellow band before considered to be trending neutral for signal alerts (has no impact on strategy).
Bear Candles # - is the number of candles ranging from 0 (off) to 5 that should be consecutively lower in value before considered to be a trend.
Pump Increase % - is the rise in price that should be considered a pump for signal alerts (has no impact on strategy).
Pump Candles # - is the number of candles over which Pump Increase % should be considered (has no impact on strategy).
Dump Decrease % - is the rise in price that should be considered a pump for signal alerts (has no impact on strategy).
Dump Candles # - is the number of candles over which Dump Decrease % should be considered (has no impact on strategy).
Show EMA Fast & Slow - their display may be turned on or off.
Enable Range - may be enabled for backtesting (in strategy) a specific range of time (disabled uses default range based on period).
Gunbot MACDgenOk this is just some strat based on MACD, checking for a few conditions until giving buy/sell signals to Gunbot via alerts.
It is generalized but if you want to go play with the values. I will continue to develop this further and am happy to receive feedback.
Notations are coming.
Usage notes:
-ONLY use this with TV_GAIN: 0.6 because on downtrends it is supposed to double up to pull down the average bought price!
-Use "buying condition" and "selling condition" for alerts, trigger on close and I suggest you use 3 min intervals but try what looks good to you
-Use this on pairs that are curvy and have atleast 0.6% gain between buy/sell triggers. This is also general advise when you want to take microprofits.
-Don't be confused with sell arrows, it will only trigger the bot sell on gain when you've set TV_GAIN
MTF Trend + Crossover AlertsMulti-Timeframe Trend Dashboard + Crossover Signals
This indicator provides a clean, real-time visual dashboard of trend directions across multiple timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D), based on moving average crossovers.
🔹 Trend Detection Logic:
When the fast MA is above the slow MA → Bullish trend 🚀
When the fast MA is below the slow MA → Bearish trend 🐻
When both are equal or ranging → Neutral
📊 Dashboard Features:
Displays trend status for each selected timeframe
Color-coded cells (green = bullish, red = bearish, gray = neutral)
Includes emojis for visual clarity
🔔 Buy/Sell Alerts:
On the active chart timeframe, buy and sell signals are plotted when the fast MA crosses above or below the slow MA. You can also enable TradingView alerts based on these events.
🧩 Customizable Inputs:
Fast MA period
Slow MA period
MA type (EMA or SMA)
🔧 Ideal for traders who want a quick snapshot of market structure across multiple timeframes and receive real-time crossover signals on their current chart.
Auto Trend Channel + Buy/Sell AlertsThis indicator automatically detects trend channels using a linear regression line, and dynamically plots upper and lower channel boundaries based on standard deviation. It helps traders identify potential Buy and Sell zones with clear visual signals and customizable alerts.
💡 How It Works:
🧠 Regression-Based Channel: Calculates the central trend line using ta.linreg() over a user-defined length.
📏 Dynamic Boundaries: Upper and lower channel lines are offset by a multiplier of the standard deviation for precision volatility tracking.
✅ Buy Signals: Triggered when price crosses above the lower boundary — potential bounce entry.
❌ Sell Signals: Triggered when price crosses below the upper boundary — potential reversal exit.
🔔 Alerts Enabled: Get real-time alerts when price touches the channel lines.
Buy vs Sell Panel - Volume + % Highlighted + AlertsThis script provides a real-time visual breakdown of estimated Buy vs Sell volume per bar, with intelligent formatting and trend bias detection.
🔹 Features:
📈 Displays Buy and Sell volumes
🔢 Shows percentage (%) of volume in favor
✅ Highlights the dominant side (Buy or Sell)
🎛 Customizable panel position, font size, and update timeframe
🔔 Alerts when Buy or Sell volume exceeds 70% dominance
This panel is ideal for traders who want to:
Confirm trade entries based on volume strength
Visually monitor which side (buyers or sellers) is in control
Get alerted when volume shifts heavily in one direction
🧠 Volume estimation is calculated based on candle structure using directional bias. This helps approximate who is in control even without raw order book access.
🔧 Fully customizable:
Timeframe (1m to Monthly)
Font Size
Panel Location (Top/Bottom Left/Right)
Toggle % display and market bias text
📊 Works with all assets: Stocks, Futures, Forex, and Crypto.
UT Bot Alerts – Time Filtered with ExitsThis indicator combines several technical approaches to generate precise entry and exit signals, while incorporating time filters that ensure signals are sent only during desired time windows and with defined cooldown periods. It is based on the original idea by QuantNomad.
Main Components:
ATR-based Trailing Stop:
Using the Average True Range (ATR) and an adjustable multiplier ("Key Value"), a dynamic trailing stop is calculated that adapts to the current price. This trailing stop forms the basis for the signal generation.
EMA-based Entry Signals:
A very short exponential moving average (EMA, period 1) is used in combination with the trailing stop to identify clear buy (long) and sell (short) signals via crossovers. An additional buffer zone helps reduce false signals.
Persistent Trade State:
The current state (long, short, or neutral) is maintained so that the system remains in the trend until a new signal is generated.
Linear Regression as Reference:
A linear regression line computed over a defined period serves as a reference for determining exit levels.
Exit Signals with Delay:
Exit signals are generated when the price deviates from the linear regression line by a defined percentage (Exit Signal Deviation) and the condition persists for at least a specified number of bars (Exit Signal Delay). Only one exit signal is issued per trade to avoid excessive exits.
Time Filters and Cooldown:
Session Filter: A user-defined session (e.g., "2200-0500") can disable signals during specified periods.
Cooldown Period: After a signal is triggered, a cooldown phase (in minutes) can be set during which no new signals are sent.
Visual Display and Alerts:
Entry Signals: Buy and sell signals are displayed as labels (green for long, red for short).
Exit Signals: Exit signals appear as triangles, with the exit long signal text displayed in white.
Reference Lines:
The upper exit level (Exit Short Level) is drawn as a solid line in turquoise (color.aqua).
The lower exit level (Exit Long Level) is drawn as a solid line in yellow.
Additionally, the ATR trailing stop and the linear regression line are clearly plotted on the chart.
Alerts can be configured for all signal types.
In Summary:
The indicator delivers precise entry signals based on an ATR trailing stop and a short EMA, supplemented by dynamic exit levels determined via linear regression. With integrated time filters (session and cooldown) and a flexible exit mechanism, this indicator offers controlled trade management—ideal for traders who wish to receive signals only during desired time periods.
Original Author: QuantNomad
Engulfing Sweeps - Milana TradesEngulfing Sweeps
The Engulfing Sweeps Candle is a candlestick pattern that:
1)Takes liquidity from the previous candle’s high or low.
2)Fully engulfs previous candles upon closing.
3)Indicates strong buying or selling pressure.
4)Helps determine the bias of the next candle.
Logic Behind Engulfing Sweeps
If you analyze this candle on a lower timeframe, you’ll often see popular models like PO3 (Power of Three) or AMD (Accumulation – Manipulation – Distribution).
Once the candle closes, the goal is to enter a position on the retracement of the distribution phase.
How to Use Engulfing Sweeps?
Recommended Timeframes:
4H, Daily, Weekly – these levels hold significant liquidity.
Personally, I prefer 4H, as it provides a solid view of mid-term market moves.
Step1 - Identify Engulfing Sweep Candle
Step 2-Switch to a lower timeframe (15m or 5m).And you task identify optimal trade entry
Look for an entry pattern based on:
FVG (Fair Value Gap)
OB (Order Block)
FIB levels (0/0.25/0.5/ 0.75/ 1)
Wait for confirmation and take the trade.
Automating with TradingView Alerts
To avoid missing the pattern, you can set up alerts using a custom script. Once the pattern forms, TradingView will notify you so you can analyze the chart and take action. This approch helps me be more freedom
Auto Fibonacci Extension and Retracement with Visual AlertsThis indicator automatically calculates and plots Fibonacci retracement and extension levels based on recent swing highs and lows, making it a powerful tool for traders who use Fibonacci analysis in their strategies.
Key Features:
• Dynamic Fibonacci Levels: Automatically detects swing highs and lows over a user-defined lookback period to calculate key Fibonacci retracement (e.g., 0.236, 0.382, 0.618, etc.) and extension (e.g., 1.618, 2.618, etc.) levels.
• Visual Alerts: Displays intuitive visual alerts when the price crosses important Fibonacci levels.
• Blue dashed lines for retracement levels.
• Green dashed lines for extension levels.
• Labels with up or down arrows indicating price interactions with these levels.
• Swing High/Low Visualization: Marks recent swing highs and lows with crosses for better clarity.
• Customizable: Adjust the lookback period and Fibonacci levels to suit your trading style.
Who is it for?
This indicator is perfect for:
• Swing Traders: To identify potential reversal or continuation zones.
• Day Traders: For short-term setups based on Fibonacci levels.
• Fibonacci Enthusiasts: To automate the time-consuming process of manually plotting levels.
Usage Ideas:
1. Use retracement levels (e.g., 0.618) to identify areas of potential support or resistance.
2. Use extension levels (e.g., 1.618) to target potential breakout or continuation zones.
3. Combine this indicator with candlestick patterns, volume analysis, or other tools for confirmation.
Limitations:
• This is a standalone indicator and does not provide buy/sell signals. It’s recommended to combine it with other technical analysis tools for best results.
• The lookback period and swing detection rely on past data, so adjustments may be needed based on the asset or timeframe.
Whether you’re looking to streamline your Fibonacci analysis or explore new opportunities in your trading, this indicator is designed to save time, increase accuracy, and enhance your overall trading experience.
Custom Sign [Alert + Marker]Custom Sign
An indicator that detects crossovers between two values and displays them with customizable markers and colors on your TradingView chart.
Key Features
Detection of crossover, crossunder, and cross (both) events
Two display modes: Oscillator and Indicator
Customizable markers and colors
Bar-close alerts
Settings
Source Settings
Source 1: Select the first value to compare
Cross Type: Select cross type (⏫up, ⏬down, 🔀both)
Source 2: Select the second value to compare
Oscillator Side
Use Unified Signal: Toggle unified marker
Unified: Shape for unified marker
CrossOver: Marker for upward cross
CrossUnder: Marker for downward cross
Location: Marker position (Top/Bottom/Invisible)
Indicator Side
Use Unified Signal: Toggle unified marker
Unified: Shape for unified marker
CrossOver: Marker for upward cross
CrossUnder: Marker for downward cross
Location: Marker position (Auto/Top/Bottom/AboveBar/BelowBar/Invisible)
Color Settings
Oscillator
* Use Unified Color: Toggle single color mode
* Unified: Color for unified mode
* CrossOver: Color for upward cross
* CrossUnder: Color for downward cross
Indicator
* Use Unified Color: Toggle single color mode
* Unified: Color for unified mode
* CrossOver: Color for upward cross
* CrossUnder: Color for downward cross
Alert Settings
Alert Message: Customize alert message
Notes
Oscillator and Indicator sides can be configured independently
Different markers and colors can be used for each side
Alerts trigger once per bar at close
Arjo FVG Filtering With Alerts [neo.|]Fair Value Gaps (Also known as FVGs or Imbalances) can be simply described as a three candle pattern, where the second candle's body isn't completely covered by the wicks or body of the second and third candle. These areas represent movements in the market where either buyers or sellers were not able to get involved due to price in the form of wicks not revisiting those levels, and instead moving away from them.
As a result, they can be seen as potential areas of continuation given that price may want to continue in it's direction after it revisits them and offers Fair Value, since previously it made sharp moves away from those areas.
However what is important to note, and what FVG Filtering aims to address, is that there are three notable types of FVGs as described by Arjo, which are Perfect FVGs denoted as FVGp on the indicator and chart below, Expansion (FVGe), and Reversal (FVGr). As the names imply, they each serve different purposes with the FVGp being the likeliest to hold on mitigation, expansion meaning price is likely to not retrace into the FVG and reversal being the least likely for the FVG to hold.
The indicator is the first that automatically determines which one of the three underlying FVG types any particular FVG is, that way you can quickly make informed decisions based on the type of FVG you see appear on the chart.
As you may notice, the type depends primarily on the third candle, which demonstrates the true strength of any particular FVG, and is how the filtering occurs on this indicator, which compares the sizes of the second and third candle's bodies, in order to classify the FVG candle sequence as one of the three aforementioned types.
Color Options:
FVG Colors: Change the color of any bullish or bearish FVG type to easily distinguish between them.
Mitigated FVG Color: Apply colors to mitigated FVGs in order to avoid using ones that are no longer valid.
Text Color: Change the color of the text within the FVG to your liking.
Further styling options:
How many FVGs you want to be displayed: Changes the amount of FVGs displayed on your chart by limiting each type of FVG to the number you select.
How far you want the FVGs to extend: Modify the amount of bars forward that the FVG stretches out after it's inception.
Table options:
Show table: Display a table that will give you insights on how many FVGs were created of each type and what % they represent of the total.
Table text color: Modify the color of the text within the table.
Table border color: Modify the color of the border of the table.
Alerts:
Freely set alerts for any type of FVG you would like to see.
Order Blocks & Breaker Blocks [TradingFinder] Signals + Alerts🔵 Introduction
Order Block and Breaker Block, are powerful tools in technical analysis. By understanding these concepts, traders can enhance their ability to predict potential price reversals and continuations, leading to more effective trading strategies.
Using historical price action, volume analysis, and candlestick patterns, traders can identify key areas where institutional activities influence market movements.
🟣 Demand Order Block and Supply Breaker Block
Demand Order Block : A Demand Order Block is formed when the price succeeds in breaking the previous high pivot.
Supply Breaker Block : A Supply Breaker Block is formed when the price succeeds in breaking the Demand Order Block. As a result, the Order Block changes its role and turns from the role of price support to resistance.
🟣 Supply Order Block and Demand Breaker Block
Supply Order Block : A Supply Order Block is formed when the price succeeds in breaking the previous low pivot.
Demand Breaker Block : A Demand Breaker Block is formed when the price succeeds in breaking the Supply Order Block. As a result, the Order Block changes its role and turns from the role of price resistance to support.
🔵 How to Use
🟣 Order Blocks (Supply and Demand)
Order blocks are zones where the likelihood of a price reversal is higher. In demand zones, buying opportunities arise, while in supply zones, selling opportunities can be explored.
The "Refinement" feature allows you to adjust the width of the order block to fit your trading strategy. There are two modes in the "Order Block Refine" feature: "Aggressive" and "Defensive." The primary difference between these modes is the width of the order block.
For risk-averse traders, the "Defensive" mode is ideal as it offers a lower loss limit and a higher reward-to-risk ratio.
Conversely, for traders who are willing to take more risks, the "Aggressive" mode is more suitable. This mode, with its wider order block width, caters to those who prefer entering trades at higher prices.
🟣 Breaker Blocks (Supply and Demand)
Trading based on breaker blocks is the same as order blocks and the price in these zones is likely to be reversed.
🔵 Setting
🟣 Global Setting
Pivot Period of Order Blocks Detector : Enter the desired pivot period to identify the Order Block.
Order Block Validity Period (Bar) : You can specify the maximum time the Order Block remains valid based on the number of candles from the origin.
Mitigation Level Order Block : Determining the basic level of a Order Block. When the price hits the basic level, the Order Block due to mitigation.
Mitigation Level Breaker Block : Determining the basic level of a Breaker Block. When the price hits the basic level, the Breaker Block due to mitigation.
Switching Colors Theme Mode : Three modes "Off", "Light" and "Dark" are included in this parameter. "Light" mode is for color adjustment for use in "Light Mode".
"Dark" mode is for color adjustment for use in "Dark Mode" and "Off" mode turns off the color adjustment function and the input color to the function is the same as the output color.
🟣 Order Block Display
Show All Order Block : If it is turned off, only the last Order Block will be displayed.
Demand Main Order Block : Show or not show and specify color.
Demand Sub (Propulsion & BoS Origin) Order Block : Show or not show and specify color.
Supply Main Order Block : Show or not show and specify color.
Supply Sub (Propulsion & BoS Origin) Order Block : Show or not show and specify color.
🟣 Breaker Block Display
Show All Breaker Block : If it is turned off, only the last Breaker Block will be displayed.
Demand Main Breaker Block : Show or not show and specify color.
Demand Sub (Propulsion & BoS Origin) Breaker Block : Show or not show and specify color.
Supply Main Breaker Block : Show or not show and specify color.
Supply Sub (Propulsion & BoS Origin) Breaker Block : Show or not show and specify color.
🟣 Order Block Refinement
Refine Order Blocks : Enable or disable the refinement feature. Mode selection.
🟣 Alert
Alert Name : The name of the alert you receive.
Alert Demand OB Mitigation :
On / Off
Alert Demand BB Mitigation :
On / Off
Alert Supply OB Mitigation :
On / Off
Alert Supply BB Mitigation :
On / Off
Message Frequency :
This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone :
The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
Display More Info :
Displays information about the price range of the order blocks (Zone Price) and the date, hour, and minute under "Display More Info".
If you do not want this information to appear in the received message along with the alert, you should set it to "Off".
Smart DCA StrategyINSPIRATION
While Dollar Cost Averaging (DCA) is a popular and stress-free investment approach, I noticed an opportunity for enhancement. Standard DCA involves buying consistently, regardless of market conditions, which can sometimes mean missing out on optimal investment opportunities. This led me to develop the Smart DCA Strategy – a 'set and forget' method like traditional DCA, but with an intelligent twist to boost its effectiveness.
The goal was to build something more profitable than a standard DCA strategy so it was equally important that this indicator could backtest its own results in an A/B test manner against the regular DCA strategy.
WHY IS IT SMART?
The key to this strategy is its dynamic approach: buying aggressively when the market shows signs of being oversold, and sitting on the sidelines when it's not. This approach aims to optimize entry points, enhancing the potential for better returns while maintaining the simplicity and low stress of DCA.
WHAT THIS STRATEGY IS, AND IS NOT
This is an investment style strategy. It is designed to improve upon the common standard DCA investment strategy. It is therefore NOT a day trading strategy. Feel free to experiment with various timeframes, but it was designed to be used on a daily timeframe and that's how I recommend it to be used.
You may also go months without any buy signals during bull markets, but remember that is exactly the point of the strategy - to keep your buying power on the sidelines until the markets have significantly pulled back. You need to be patient and trust in the historical backtesting you have performed.
HOW IT WORKS
The Smart DCA Strategy leverages a creative approach to using Moving Averages to identify the most opportune moments to buy. A trigger occurs when a daily candle, in its entirety including the high wick, closes below the threshold line or box plotted on the chart. The indicator is designed to facilitate both backtesting and live trading.
HOW TO USE
Settings:
The input parameters for tuning have been intentionally simplified in an effort to prevent users falling into the overfitting trap.
The main control is the Buying strictness scale setting. Setting this to a lower value will provide more buying days (less strict) while higher values mean less buying days (more strict). In my testing I've found level 9 to provide good all round results.
Validation days is a setting to prevent triggering entries until the asset has spent a given number of days (candles) in the overbought state. Increasing this makes entries stricter. I've found 0 to give the best results across most assets.
In the backtest settings you can also configure how much to buy for each day an entry triggers. Blind buy size is the amount you would buy every day in a standard DCA strategy. Smart buy size is the amount you would buy each day a Smart DCA entry is triggered.
You can also experiment with backtesting your strategy over different historical datasets by using the Start date and End date settings. The results table will not calculate for any trades outside what you've set in the date range settings.
Backtesting:
When backtesting you should use the results table on the top right to tune and optimise the results of your strategy. As with all backtests, be careful to avoid overfitting the parameters. It's better to have a setup which works well across many currencies and historical periods than a setup which is excellent on one dataset but bad on most others. This gives a much higher probability that it will be effective when you move to live trading.
The results table provides a clear visual representation as to which strategy, standard or smart, is more profitable for the given dataset. You will notice the columns are dynamically coloured red and green. Their colour changes based on which strategy is more profitable in the A/B style backtest - green wins, red loses. The key metrics to focus on are GOA (Gain on Account) and Avg Cost .
Live Trading:
After you've finished backtesting you can proceed with configuring your alerts for live trading.
But first, you need to estimate the amount you should buy on each Smart DCA entry. We can use the Total invested row in the results table to calculate this. Assuming we're looking to trade on BITSTAMP:BTCUSD
Decide how much USD you would spend each day to buy BTC if you were using a standard DCA strategy. Lets say that is $5 per day
Enter that USD amount in the Blind buy size settings box
Check the Blind Buy column in the results table. If we set the backtest date range to the last 10 years, we would expect the amount spent on blind buys over 10 years to be $18,250 given $5 each day
Next we need to tweak the value of the Smart buy size parameter in setting to get it as close as we can to the Total Invested amount for Blind Buy
By following this approach it means we will invest roughly the same amount into our Smart DCA strategy as we would have into a standard DCA strategy over any given time period.
After you have calculated the Smart buy size , you can go ahead and set up alerts on Smart DCA buy triggers.
BOT AUTOMATION
In an effort to maintain the 'set and forget' stress-free benefits of a standard DCA strategy, I have set my personal Smart DCA Strategy up to be automated. The bot runs on AWS and I have a fully functional project for the bot on my GitHub account. Just reach out if you would like me to point you towards it. You can also hook this into any other 3rd party trade automation system of your choice using the pre-configured alerts within the indicator.
PLANNED FUTURE DEVELOPMENTS
Currently this is purely an accumulation strategy. It does not have any sell signals right now but I have ideas on how I will build upon it to incorporate an algorithm for selling. The strategy should gradually offload profits in bull markets which generates more USD which gives more buying power to rinse and repeat the same process in the next cycle only with a bigger starting capital. Watch this space!
MARKETS
Crypto:
This strategy has been specifically built to work on the crypto markets. It has been developed, backtested and tuned against crypto markets and I personally only run it on crypto markets to accumulate more of the coins I believe in for the long term. In the section below I will provide some backtest results from some of the top crypto assets.
Stocks:
I've found it is generally more profitable than a standard DCA strategy on the majority of stocks, however the results proved to be a lot more impressive on crypto. This is mainly due to the volatility and cycles found in crypto markets. The strategy makes its profits from capitalising on pullbacks in price. Good stocks on the other hand tend to move up and to the right with less significant pullbacks, therefore giving this strategy less opportunity to flourish.
Forex:
As this is an accumulation style investment strategy, I do not recommend that you use it to trade Forex.
STRATEGY IN ACTION
Here you see the indicator running on the BITSTAMP:BTCUSD pair. You can read the indicator as follows:
Vertical green bands on historical candles represents where buy signals triggered in the past
Table on the top right represents the results of the A/B backtest against a standard DCA strategy
Green Smart Buy column shows that Smart DCA was more profitable than standard DCA on this backtest. That is shown by the percentage GOA (Gain on Account) and the Avg Cost
Smart Buy Zone label marks the threshold which the entire candle must be below to trigger a buy signal (line can be changed to a box under plotting settings)
Green color of Smart Buy Zone label represents that the open candle is still valid for a buy signal. A signal will only be generated if the candle closes while this label is still green
Below is the same BITSTAMP:BTCUSD chart a couple of days later. Notice how the threshold has been broken and the Smart Buy Zone label has turned from green to red. No buy signal can be triggered for this day - even if the candle retraced and closed below the threshold before daily candle close.
Notice how the green vertical bands tend to be present after significant pullbacks in price. This is the reason the strategy works! Below is the same BITSTAMP:BTCUSD chart, but this time zoomed out to present a clearer picture of the times it would invest vs times it would sit out of the market. You will notice it invests heavily in bear markets and significant pullbacks, and does not buy anything during bull markets.
Finally, to visually demonstrate the indicator on an asset other than BTC, here is an example on CRYPTO:ETHUSD . In this case the current daily high has not touched the threshold so it is still possible for this to be a valid buy trigger on daily candle close. The vertical green band will not print until the buy trigger is confirmed.
BACKTEST RESULTS
Now for some backtest results to demonstrate the improved performance over a standard DCA strategy using all non-stablecoin assets in the top 30 cryptos by marketcap.
I've used the TradingView ticker (exchange name denoted as CRYPTO in the symbol search) for every symbol tested with the exception of BTCUSD because there was some dodgy data at the beginning of the TradingView BTCUSD chart which overinflated the effectiveness of the Smart DCA strategy on that ticker. For BTCUSD I've used the BITSTAMP exchange data. The symbol links below will take you to the correct chart and exchange used for the test.
I'm using the GOA (Gain on Account) values to present how each strategy performed.
The value on the left side is the standard DCA result and the right is the Smart DCA result.
✅ means Smart DCA strategy outperformed the standard DCA strategy
❌ means standard DCA strategy outperformed the Smart DCA strategy
To avoid overfitting, and to prove that this strategy does not suffer from overfitting, I've used the exact same input parameters for every symbol tested below. The settings used in these backtests are:
Buying strictness scale: 9
Validation days: 0
You can absolutely tweak the values per symbol to further improve the results of each, however I think using identical settings on every pair tested demonstrates a higher likelihood that the results will be similar in the live markets.
I'm presenting results for two time periods:
First price data available for trading pair -> closing candle on Friday 26th Jan 2024 (ALL TIME)
Opening candle on Sunday 1st Jan 2023 -> closing candle on Friday 26th Jan 2024 (JAN 2023 -> JAN 2024)
ALL TIME:
BITSTAMP:BTCUSD 80,884% / 133,582% ✅
CRYPTO:ETHUSD 17,231% / 36,146% ✅
CRYPTO:BNBUSD 5,314% / 2,702% ❌
CRYPTO:SOLUSD 1,745% / 1,171% ❌
CRYPTO:XRPUSD 2,585% / 4,544% ✅
CRYPTO:ADAUSD 338% / 353% ✅
CRYPTO:AVAXUSD 130% / 160% ✅
CRYPTO:DOGEUSD 13,690% / 16,432% ✅
CRYPTO:TRXUSD 414% / 466% ✅
CRYPTO:DOTUSD -16% / -7% ✅
CRYPTO:LINKUSD 1,161% / 2,164% ✅
CRYPTO:TONUSD 25% / 47% ✅
CRYPTO:MATICUSD 1,769% / 1,587% ❌
CRYPTO:ICPUSD 70% / 50% ❌
CRYPTO:SHIBUSD -20% / -19% ✅
CRYPTO:LTCUSD 486% / 718% ✅
CRYPTO:BCHUSD -4% / 3% ✅
CRYPTO:LEOUSD 102% / 151% ✅
CRYPTO:ATOMUSD 46% / 91% ✅
CRYPTO:UNIUSD -16% / 1% ✅
CRYPTO:ETCUSD 283% / 414% ✅
CRYPTO:OKBUSD 1,286% / 1,935% ✅
CRYPTO:XLMUSD 1,471% / 1,592% ✅
CRYPTO:INJUSD 830% / 1,035% ✅
CRYPTO:OPUSD 138% / 195% ✅
CRYPTO:NEARUSD 23% / 44% ✅
Backtest result analysis:
Assuming we have an initial investment amount of $10,000 spread evenly across each asset since the creation of each asset, it would have provided the following results.
Standard DCA Strategy results:
Average percent return: 4,998.65%
Profit: $499,865
Closing balance: $509,865
Smart DCA Strategy results:
Average percent return: 7,906.03%
Profit: $790,603
Closing balance: $800,603
JAN 2023 -> JAN 2024:
BITSTAMP:BTCUSD 47% / 66% ✅
CRYPTO:ETHUSD 26% / 33% ✅
CRYPTO:BNBUSD 15% / 17% ✅
CRYPTO:SOLUSD 272% / 394% ✅
CRYPTO:XRPUSD 7% / 12% ✅
CRYPTO:ADAUSD 43% / 59% ✅
CRYPTO:AVAXUSD 116% / 151% ✅
CRYPTO:DOGEUSD 8% / 14% ✅
CRYPTO:TRXUSD 48% / 65% ✅
CRYPTO:DOTUSD 24% / 35% ✅
CRYPTO:LINKUSD 83% / 124% ✅
CRYPTO:TONUSD 7% / 21% ✅
CRYPTO:MATICUSD -3% / 7% ✅
CRYPTO:ICPUSD 161% / 196% ✅
CRYPTO:SHIBUSD 1% / 8% ✅
CRYPTO:LTCUSD -15% / -7% ✅
CRYPTO:BCHUSD 47% / 68% ✅
CRYPTO:LEOUSD 9% / 11% ✅
CRYPTO:ATOMUSD 1% / 15% ✅
CRYPTO:UNIUSD 9% / 23% ✅
CRYPTO:ETCUSD 27% / 40% ✅
CRYPTO:OKBUSD 21% / 30% ✅
CRYPTO:XLMUSD 11% / 19% ✅
CRYPTO:INJUSD 477% / 446% ❌
CRYPTO:OPUSD 77% / 91% ✅
CRYPTO:NEARUSD 78% / 95% ✅
Backtest result analysis:
Assuming we have an initial investment amount of $10,000 spread evenly across each asset for the duration of 2023, it would have provided the following results.
Standard DCA Strategy results:
Average percent return: 61.42%
Profit: $6,142
Closing balance: $16,142
Smart DCA Strategy results:
Average percent return: 78.19%
Profit: $7,819
Closing balance: $17,819
