Dollar-Cost Averaging: The Simple Strategy Every Trader NeedsHello, Traders! 👋🏻
Timing the market is one of the most complicated challenges for any trader. The constant question of “Is this the right time to buy?” or “Should I wait for a better price?” creates hesitation and often leads to missed opportunities – or worse, emotional decisions.
That’s where Dollar Cost Averaging (DCA) comes in. DCA meaning? Rather than trying to predict market movements, DCA takes a disciplined, consistent approach to investing. By committing to regular investments over time, you smooth out the highs and lows, removing the stress of decision-making and allowing you to build your portfolio steadily.
In this article, we’ll dive into how DCA works, why it’s an effective strategy, and how to use it to stay in control. 🧘🏻
Why Is Market Timing So Hard (and How Does DCA Solve It)? What is Dollar Cost Averaging?
The allure of perfectly timing the market is strong. Who wouldn’t want to buy at the absolute bottom and sell at the peak? But the reality is that market timing typically turns into guesswork. Even with technical analysis, factors like sudden news events, regulatory changes, or shifts in market sentiment can make predictions unreliable. This uncertainty is especially true in the crypto industry, where prices can swing dramatically within hours. For many traders, this indecision can lead to two common pitfalls:
⏰Waiting Too Long. Hoping for a better entry point that never comes, missing out on gains.
😬Jumping in Emotionally. Chasing the market during a rally or panicking during a dip, only to see prices reverse shortly after.
Dollar Cost Averaging sidesteps all of this. Instead of trying to outsmart the market, you invest a fixed amount regularly – whether prices are up, down, or sideways. It’s a simple, effective way to participate in the market without letting emotions or second-guessing hold you back. Just strategy. Nothing extra. 🤷🏻
So, What’s the Secret? How DCA Works in Practice? DCA Investing
Commit to a Fixed Amount
With DCA crypto, you decide how much to invest each time – say, $100 weekly or $500 monthly. This amount stays consistent, no matter what the market is doing.
Stick to a Schedule
Regularity is key. By investing in a schedule (e.g., every Friday or the 1st of each month), you eliminate the need to decide when to enter the market.
Take Advantage of Volatility
When prices 📉, your fixed investment buys more of the asset. When prices rise, it buys less. Over time, this helps reduce your average cost, giving you an edge in volatile markets.
Use Auto-Investing Tools
Many crypto exchanges offer auto-investing features , making setting up and sticking to your DCA strategy easier. With these tools, you can automate recurring purchases of your chosen asset at regular intervals (weekly, biweekly, or monthly). All you need to do is select the asset, set the amount, and schedule the frequency. Once configured, the platform handles the rest, eliminating the risk of forgetting or deviating from your plan.
Example:
Imagine you’re investing $200 into Bitcoin (BTC) every 2 weeks.
Bitcoin DCA Example:
After 5 cycles, you’ve invested $1,000 and accumulated approximately 0.05 BTC at an average cost of $20,000—lower than the highest price during this period.
The Key Benefits of DCA
Soooo… Why is DCA a go-to strategy for many traders?
DCA removes the stress of guessing when to buy. You follow a plan and let the strategy do the work.
By investing during both highs and lows, your average cost tends to decrease over time.
Fear and Greed are the biggest enemies of consistent gains. DCA automates your investments, helping you avoid emotional decisions that could harm your portfolio.
Whether you’re buying Bitcoin, Ethereum, or even traditional assets like ETFs, DCA adapts to your goals and market preferences.
Regular investing instills good habits, encouraging you to focus on the long-term growth of your portfolio.
In conclusion, the markets will always have ups and downs, but with DCA, you don’t have to worry about catching every wave 🏄. Instead, you focus on building your portfolio steadily, one step at a time.
Dcastrategy
ACH USDT LONG - DCA According to the trend line created in the time frame of 4 hours
The best opportunity to buy with the DCA method
In this scenario, the purchase is done in 3 steps
Due to the low probability of the third purchase, most capital has been invested in the first two purchases.
May blessings flow in your life :)
3rd Pine Script Lesson: Open a command & send it to a Mizar BotWelcome back to our TradingView tutorial series! We have reached lesson number 3 where we will be learning how to open a command on TradingView and send it to a Mizar Bot.
If you're new here and missed the first two lessons, we highly recommend starting there as they provide a solid foundation for understanding the concepts we'll be covering today. In the first lesson, you will be learning how to create a Bollinger Band indicator using Pine Script:
In the second lesson, you will be guided through every step of coding the entry logic for your own Bollinger Band indicator using Pine Script:
In this brief tutorial, we'll walk you through the process of utilizing your custom indicator, Mikilap, to determine the ideal timing for sending a standard JSON command to a Mizar DCA bot. By the end of this lesson, you'll have the ability to fine-tune your trading strategies directly on Mizar using indicators from TradingView. So, sit back, grab a cup of coffee (or tea), and let's get started!
To establish a common starting point for everyone, please use the following code as a starting point. It incorporates the homework assignment from our Pine Script lesson number 2. By using this code as our foundation, we can collectively build upon it and delve into additional concepts together. So, sit back, grab a cup of coffee (or tea), and let's get started!
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// Mizar Example Code - Lesson I - Coding an indicator
// version 1.0 - April 2023
// Intellectual property © Mizar.com
// Mizar-Killer-Long-Approach ("Mikilap")
//@version=5
// Indicator script initiation
indicator(title = "Mizar-Killer-Long-Approach", shorttitle = "Mikilap", overlay = true, max_labels_count = 300)
// Coin Pair with PREFIX
// Bitcoin / USDT on Binance as example / standard value on an 60 minutes = 1 hour timeframe
string symbol_full = input.symbol(defval = "BINANCE:BTCUSDT", title = "Select Pair:", group = "General")
string time_frame = input.string(defval = "60", title = "Timeframe:", tooltip = "Value in minutes, so 1 hour = 60", group = "General")
int length = input.int(defval = 21, title = "BB Length:", group = "Bollinger Band Setting")
src = input(defval = close, title="BB Source:", group = "Bollinger Band Setting")
float mult = input.float(defval = 2.0, title="BB Standard-Deviation:", group = "Bollinger Band Setting")
float lower_dev = input.float(defval = 0.1, title = "BB Lower Deviation in %:", group = "Bollinger Band Setting") / 100
int length_rsi = input.int(defval = 12, title = "RSI Length:", group = "RSI Setting")
src_rsi = input(defval = low, title="RSI Source;", group = "RSI Setting")
int rsi_min = input.int(defval = 25, title = "", inline = "RSI band", group = "RSI Setting")
int rsi_max = input.int(defval = 45, title = " < min RSI max > ", inline = "RSI band", group = "RSI Setting")
// Defintion of a Pine Script individual function to handle the Request and avoid Repainting Errors
Function_Mikilap(simple string coinpair, simple string tf_to_use) =>
int function_result = 0
bool barstate_info = barstate.isconfirmed
open_R, high_R, low_R, close_R = request.security(coinpair, tf_to_use, )
// Bollinger part of MIKILAP
src_cp = switch src
open => open_R
high => high_R
low => low_R
=> close_R
lower_band_cp = ta.sma(src_cp, length) - (mult * ta.stdev(src_cp, length))
lower_band_cp_devup = lower_band_cp + lower_band_cp * lower_dev
lower_band_cp_devdown = lower_band_cp - lower_band_cp * lower_dev
bool bb_entry = close_R < lower_band_cp_devup and close_R > lower_band_cp_devdown and barstate_info
// RSI part of MIKILAP
src_sb = switch src_rsi
open => open_R
high => high_R
low => low_R
=> close_R
rsi_val = ta.rsi(src_sb, length_rsi)
bool rsi_entry = rsi_min < rsi_val and rsi_max > rsi_val and barstate_info
// Check if all criteria are met
if bb_entry and rsi_entry
function_result += 1
if function_result == 1 and ticker.standard(syminfo.tickerid) == coinpair
label LE_arrow = label.new(x = bar_index, y = low_R, text = " 🢁 LE", yloc = yloc.belowbar, color = color.rgb(255,255,255,25),
style = label.style_none, textcolor = color.white, tooltip = str.tostring(open_R))
function_result
// Calling the Mikilap function to start the calculation
int indi_value = Function_Mikilap(symbol_full, time_frame)
color bg_color = indi_value ? color.rgb(180,180,180,75) : color.rgb(25, 25, 25, 100)
bgcolor(bg_color)
// Output on the chart
// plotting a band around the lower bandwith of a Bollinger Band for the active CoinPair on the chart
lower_bb = ta.sma(src, length) - (mult * ta.stdev(src, length))
lower_bb_devup = lower_bb + lower_bb * lower_dev
lower_bb_devdown = lower_bb - lower_bb * lower_dev
upper = plot(lower_bb_devup, "BB Dev UP", color=#faffaf)
lower = plot(lower_bb_devdown, "BB Dev DOWN", color=#faffaf)
fill(upper, lower, title = "BB Dev Background", color=color.rgb(245, 245, 80, 80))
Open a command to send to a Mizar Bot.
Let‘s continue coding
Our target: Use our own indicator: Mikilap, to define the timing to send a standard JSON command to a Mizar DCA bot.
(1) define the JSON command in a string, with variables for
- API key
- BOT id
- BASE asset (coin to trade)
(2) send the JSON command at the beginning of a new bar
(3) setup the TradingView alert to transport our JSON command via
Webhook/API to the Mizar DCA bot
Below you can see the code, which defines the individual strings to prepare the JSON command. In the following, we will explain line by line, what each individual string and command is used for.
// Defintion of a Pine Script individual function to handle the Request and avoid Repainting Errors
Function_Mikilap(simple string coinpair, simple string tf_to_use) =>
int function_result = 0
bool barstate_info = barstate.isconfirmed
open_R, high_R, low_R, close_R = request.security(coinpair, tf_to_use, )
//Text-strings for alerts via API / Webhook
string api_key = "top secret" // API key from MIZAR account
string symbol_prefix = str.replace(symbol_full, "BINANCE:", "", 0)
string symbol_name = str.replace(symbol_prefix, "USDT", "", 0)
string bot_id = "0000" // BOT id from MIZAR DCA bot
// String with JSON command as defined in format from MIZAR.COM
// BOT id, API key and the BASE asset are taken from separate variables
DCA bot identifier:
string api_key = "top secret"
string bot_id = "0000"
These both strings contain the info about your account (BOT owner) and the unique id of your bot, which should receive the JSON command.
BASE asset:
string symbol_prefix = str.replace(symbol_full, "BINANCE:", "", 0)
string symbol_name = str.replace(symbol_prefix, "USDT", "", 0)
The shortcut of the base asset will be taken out of the complete string for the coin pair by cutting out the CEX identifier and the quote asset.
JSON command for opening a position:
Entry_message = '{ "bot_id": "' + bot_id + '", "action": "' + "open-position" + '", "base_asset": "' + symbol_name + '", "quote_asset": "' + "USDT" + '", "api_key": "' + api_key + '" }'
If you want to have more info about all possible JSON commands for a DCA bot, please look into Mizar‘s docs: docs.mizar.com
As the JSON syntax requires quotation marks (“) as part of the command, we define the string for the entry message with single quotations ('). So please ensure to open and close these quotations before or after each operator (=, +, …).
Current status:
- We have the entry logic and show every possible entry on the chart => label.
- We have the JSON command ready in a combined string (Entry_message) including the BOT identifier (API key and BOT id) as well as the coin pair to buy.
What is missing?
- To send this message at the opening of a new bar as soon as the entry logic is true. As we know these moments already, because we are placing a label on the chart, we can use this condition for the label to send the message as well.
alert(): built-in function
- We recommend checking the syntax and parameters for alert() in the Pine Script Reference Manual. As we want to send only one opening command, we are using the alert.freq_once_per_bar. To prepare for more complex Pine Scripts, we have placed the alert() in a separate local scope of an if condition, which is not really needed in this script as of now.
if bb_entry and rsi_entry
function_result += 1
if function_result == 1
alert(Entry_message, alert.freq_once_per_bar)
if function_result == 1 and ticker.standard(syminfo.tickerid) == coinpair
label LE_arrow = label.new(x = bar_index, y = low_R, text = " 🢁 LE", yloc = yloc.belowbar, color = color.rgb(255,255,255,25),
style = label.style_none, textcolor = color.white, tooltip = str.tostring(open_R))
IMPORTANT REMARK:
Do not use this indicator for real trades! This example is for educational purposes only!
Configuration of the TradingView alert: on the top right of the chart screen, you will find the clock, which represents the alert section
a) click on the clock to open the alert section
b) click on the „+“ to create a new alert
c) set the condition to our indicator Mikilap and the menu will change its format (configuration of the TradingView alert)
For our script nothing else is to do (you may change the expiration date and alert name), except to add the Webhook address in the Notification tab.
Webhook URL: api.mizar.com
Congratulations on finishing the third lesson on TradingView - we hope you found it informative and engaging! You are now able to code a well-working easy Pine Script indicator, which will send signals and opening commands to your Mizar DCA bot.
We're committed to providing you with valuable insights and practical knowledge throughout this tutorial series. So, we'd love to hear from you! Please leave a comment below with your suggestions on what you'd like us to focus on in the next lesson.
Thanks for joining us on this learning journey, and we're excited to continue exploring TradingView with you!
3 Price level to do DCA on Bank ETFDCA method
First - $39/$40 - 1st bullet
Second - $35 - 2nd bullet
Last - $27 - Final bullet
As we know, Bank ETF is affected by SVB saga. However in long run, after the saga drama over, we may see KRE recover back in future.
Therefore, we may apply DCA method to slowly accumulate into it.
Best DCA Strategy for Bitcoin and Other AltcoinsPink shows Strategy 1 that many people follow for DCA which is to buy on the first of each month.
Light green shows Strategy 2, which I find very reliable and is much more profitable in the long term.
In stochastic RSI settings, just change Lower Band to 10 instead of 20.
Now every time there is a crossover in Stochastic RSI below 10, you buy.