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AlwaysBuy Strategy: The "Blind Box Player" of Quant Trading

Nickname: Mindless Buying Machine, Test Tool Specialist
Job: Framework Tester / Benchmark Control Group
Timeframe: 5 minutes (5m)

1. What Is This Strategy?​

Simply put, AlwaysBuy is:

  • A "strategy" with absolutely no technical analysis
  • A "blind box player" that buys at every candlestick it sees
  • A tool specifically designed to test frameworks

Like throwing money into the stock market with your eyes closed, wherever it lands, it lands 🎲

One-sentence summary: This is not a trading strategy, this is a testing tool!

2. Core Configuration: Simply Put, "Buy and Wait"​

Take Profit Rules (ROI Table)​

After 0 minutes: Sell only if profit ≥ 100%
After 100 minutes: Sell only if profit ≥ 200%
After 200 minutes: Sell only if profit ≥ 300%
After 300 minutes: Stop selling, wait for stop loss

Translation: These take-profit levels are ridiculously high, basically meaning "no active take-profit." Who expects to double their money before selling? This is a test configuration 🤣

Stop Loss Rules​

Fixed stop loss: Admit defeat at 20% loss
Trailing stop: After reaching 3% profit, run if it pulls back 0.5%

Translation:

  • Fixed stop loss at 20%, that's wide enough to drive a truck through
  • Trailing stop is reasonable, but the question is—why would you use a trailing stop to protect a "blind buy" strategy?

3. 1 Entry Condition: Let Me Translate to "Human Language"​

This strategy's entry condition is so simple it makes you doubt life:

🎯 Category 1: Unconditional Buy (1 condition)​

Code Logic:

dataframe.loc[:, ["enter_long", "enter_tag"]] = (1, "entry_reason")

Plain English:

"Whether it's up or down, oscillating or trending, just buy!"

Actual Effect:

  • Every candlestick is a buy signal
  • Keeps buying as long as funds are available
  • Only stops when limited by max_open_trades

Roast: The core philosophy of this strategy is—"I don't look at the market, I just buy." The quantitative version of the "blindfolded investing method" 😂

4. Protection Mechanisms: 0 Layers of "Naked Exposure"​

This strategy has absolutely no protection mechanisms:

Protection TypeAvailable?Comment
Cooldown Period❌ NoLose it all? Keep going
Max Drawdown Protection❌ NoKeep losing
Consecutive Stop Loss Protection❌ NoStill losing
Low Profit Protection❌ NoAlways losing

Translation: This strategy is "naked" trading. Lost? Continue! Lost again? Continue!

But to be fair: As a testing tool, it doesn't need protection mechanisms. You're here to test the framework, not to make money.

5. Exit Logic: Complete Lying Flat​

5.1 No Active Exit​

def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
    return dataframe  # Nothing here

Plain English:

"Exit? Non-existent. Let the stop loss decide."

5.2 Passive Exit Methods​

Exit MethodTrigger ConditionPlain English
Fixed Stop Loss20% loss"Hold until you can't hold anymore"
Trailing StopProfit pullback"Finally made some money, time to run"
ROIDouble your money"Dream on, only sell when doubled"

6. This Strategy's "Personality Traits"​

✅ Advantages (Actually Not Really Advantages)​

  1. Super Simple Code: Less than 50 lines total, understand it in one read
  2. Framework Testing Magic Tool: Use to verify if Freqtrade installation is correct
  3. Benchmark Reference Value: Compare the difference between "mindless buying" and "strategic buying"
  4. Extremely Low Resource Usage: No indicator calculations, CPU fan won't even spin

⚠️ Disadvantages (This Is the Real Point)​

  1. Not a Trading Strategy: It has no strategy 🤣
  2. Mindless Buying: Doesn't look at market state at all
  3. Fee Killer: Frequent trading fees will bankrupt you
  4. Stop Loss Too Wide: 20% stop loss line is like betting half your life

7. Applicable Scenarios: When to Use It?​

ScenarioRecommended ActionReason
Testing Freqtrade Installation✅ Use itQuickly verify if framework is normal
Testing Exchange API✅ Use itVerify if orders can execute properly
Comparing Strategy Effectiveness✅ Use itSee how much better your strategy is than "blind buying"
Learning Strategy Structure✅ Use itUnderstand the minimal strategy template
Live Trading for Profit❌ Don't useFind a real strategy instead
Simulation Trading for Profit❌ Don't useLosing fees, meaningless

8. Summary: How Is This Strategy Really?​

One-Sentence Review​

"It's not a strategy, it's a testing tool. Don't expect it to make money."

Who Should Use It?​

  • ✅ Freqtrade beginners—verify installation
  • ✅ Developers—test framework functionality
  • ✅ Strategy researchers—need a benchmark reference
  • ✅ Learners—study the minimal strategy structure

Who Shouldn't Use It?​

  • ❌ People who want to make money—find a real strategy
  • ❌ Live traders—this strategy will make you lose money
  • ❌ Fee-sensitive traders—frequent trading fees are high
  • ❌ Risk-averse traders—completely unprotected

My Advice​

  1. Only use it to test the framework: After installing Freqtrade, run this strategy to see if you can place orders
  2. As a strategy template: Start here to write your own strategy
  3. As a control group: See how much better your strategy is than "blind buying"
  4. Never use it for live trading: Seriously, don't. It's not designed to make money.

9. What "Market" Can This Strategy Make Money In?​

9.1 Core Logic: Doesn't Look at the Market at All​

AlwaysBuy is a testing tool, it doesn't analyze any market:

  • No indicators: Doesn't calculate moving averages, MACD, RSI, nothing
  • No logic: Entry condition is always true
  • No protection: No cooldown period, no drawdown protection

Its Philosophy: Whatever market you're in, I'm buying anyway!

9.2 Performance in Different "Markets" (Plain English Version)​

Market TypePerformance RatingPlain English Explanation
📈 Big Bull Market⭐⭐⭐☆☆Blind buying might profit, but don't know when to sell
🔄 Oscillating Market⭐☆☆☆☆Buy at the top, stop out, buy again, lose again, fees explode
📉 Big Bear Market⭐☆☆☆☆Buy and get trapped, wait for 20% stop loss
⚡️ High Volatility⭐⭐☆☆☆Trailing stop might trigger frequently, double hit from fees and slippage

One-sentence summary: Don't expect this strategy to make money, it wasn't designed to make money.

10. Want to Run This Strategy? Configuration Recommendations​

10.1 Trading Pair Configuration​

Configuration ItemRecommended ValueReason
max_open_trades1-3Limit positions, reduce risk
stake_amountMinimum amountDon't test with real money
dry_runTrueStrongly recommend simulation only

10.2 Key Config File Settings​

# config.json key configuration
{
    "max_open_trades": 1,
    "stake_amount": "unlimited",  # Or set minimum amount
    "dry_run": true,  # Simulation mode!
    "stoploss": -0.2
}

10.3 Hardware Requirements​

Number of PairsMinimum MemoryRecommended MemoryExperience
1-5 pairs512MB1GBSmooth
5-20 pairs1GB2GBSmooth
20+ pairs2GB4GBSmooth

Analysis: This strategy calculates no indicators, so hardware requirements are extremely low. Even a Raspberry Pi can run it.

11. Easter Egg: The Strategy Author's "Little Thoughts"​

Looking carefully at the code, you'll find some interesting things:

  1. ROI Table Design: Double to take profit? This is clearly not a live trading configuration, but a test configuration

    "I just want to test if the ROI feature works, who cares about actual returns"

  2. enter_tag called "entry_reason": Marking all buy reasons as the same

    "Since it's all blind buying anyway, just write whatever tag"

  3. INTERFACE_VERSION = 3: Using the latest interface version

    "I may be simple, but I keep up with trends"

12. Final Words​

One-Sentence Review​

"Testing magic tool, making money useless. Use it to verify frameworks, don't use it for live trading."

Who Should Use It?​

  • ✅ Beginners configuring Freqtrade
  • ✅ Developers wanting to verify exchange connections
  • ✅ Strategy researchers needing benchmark comparison
  • ✅ Learners wanting to understand minimal strategy structure

Who Shouldn't Use It?​

  • ❌ People who want to make money with strategies
  • ❌ People who need risk management
  • ❌ People sensitive to fees
  • ❌ Anyone who wants to use it in live trading

Advice for Manual Traders​

This strategy has no reference value for manual traders. Its buy logic is "unconditional buy," which in manual trading is equivalent to "buy a random stock and pray."

If you must learn something:

  • Trailing stop configuration can be referenced
  • Strategy structure can be used as a development template
  • Don't learn its trading logic—this is the most important lesson 🙏

13. ⚠️ Risk Re-emphasis (This Part Is a Must-Read)​

Backtesting Looks Great, Live Trading Requires Caution​

AlwaysBuy might look "okay" in backtesting (if you chose a trading pair with good upward momentum), but this is pure luck:

It has no trading logic, buying anything is based on luck. Choose the wrong pair in backtesting, and you'll see losses.

Hidden Risks of Mindless Buying​

In live trading, this strategy will cause:

  • Fee Consumption: Frequent buying and selling, fees accumulate amazingly
  • Slippage Loss: Market order slippage will further erode returns
  • No Risk Management: No protection mechanism when losing consecutively

My Advice (Honest Words)​

1. Only use dry_run mode for testing
2. Do not invest any real funds
3. After using it to verify the framework, switch to a real strategy
4. If you don't know what a "real strategy" is, learn the basics first

Remember: This strategy's purpose is to test frameworks, not make money. Use it to learn, use it to test, but don't use it to lose money!

Final Reminder: No matter how simple the strategy, the market won't be gentle. Testing tools should only be used for testing! 🙏