Skip to main content

AlligatorStrat Strategy: Alligator or "Hungry Fish"?

Nickname: Proof-of-Concept Lab Rat 🐁
Profession: Trend-Following Intern
Timeframe: 4 Hours

I. What Is This Strategy?​

Simply put, AlligatorStrat is:

  • Uses SMA (Simple Moving Average) to determine trend direction
  • Uses MACD to confirm trend momentum
  • Buy when either of two signals is triggered

It's like an intern who hasn't graduated yet 🎓—simple logic, but the author themselves say "just a proof of concept," so don't expect it to make big money.

II. Core Configuration: Simply Put, "Run at 10%"​

Take-Profit Rules (ROI Table)​

After entry, profit reaches 10% → Sell and leave

Translation: Make 10% and call it a day, no greed. Like a worker making 10k a month, enough to get by 🤷

Stop-Loss Rules​

Loss reaches 20% → Cut losses and stop

Translation: Can afford to lose 20%, anything more is too much. This stop-loss is set pretty wide, 20% fluctuation in a 4-hour cycle is common.

III. 2 Buy Conditions: I've Categorized Them for You​

This strategy doesn't have many buy conditions, just 2, and I've grouped them into 2 categories:

🎯 Category 1: Main Signal (1 condition)​

Core Logic: SMA Crossover + MACD Confirmation

Plain English:

"Short-term MA breaks above medium-term MA, and MACD is also in an uptrend channel—this one's solid!"

Representative Condition: #1

Classic Lines:

  • Condition #1: SMA(5) crosses above SMA(8) AND MACD>0 AND MACD>Signal → "Short-term momentum is up, and MACD confirms direction, let's go!"

📉 Category 2: Auxiliary Signal (1 condition)​

Core Logic: MACD Golden Cross

Plain English:

"MACD golden cross—didn't check the MAs, but maybe we can catch the ride?"

Representative Condition: #2

Classic Lines:

  • Condition #2: MACD crosses above Signal → "MACD golden cross, who cares about MAs, hop on first!"

IV. Protection Mechanism: 1 Layer of "Firewall"​

Each buy condition has no extra protection, just one fixed:

Protection TypeFunctionPlain English
Fixed Stop-LossRun at 20% loss"Lost too much, can't handle it, I give up"

This strategy's protection is simple—relying on that 20% stop-loss as a safety net 🛡️

V. Sell Logic: Two Ways to Exit​

5.1 Trend Reversal Signal​

Close price < SMA(8) AND MACD < Signal

Plain English:

  • Close price breaks below 8-period MA: short-term trend weakening
  • MACD also below signal line: momentum is gone too
  • Conclusion: Trend might reverse, run!

5.2 MACD Death Cross Signal​

MACD crosses below Signal

Plain English:

"MACD death cross—price might still be above MA, but momentum is starting to weaken, run first!"

VI. This Strategy's "Personality Traits"​

✅ Pros (Compliment Time)​

  1. Simple and Easy to Understand: Just SMA and MACD, middle school math level
  2. Clear Logic: Buy with confirmation, sell with reason, not random guessing
  3. 4-Hour Cycle: Reduces noise, no need to stare at the screen watching heartbeats

⚠️ Cons (Roast Time)​

  1. Author Says It Doesn't Work Well: "doesn't really perform that well"—lost before even starting 😅
  2. Protection Too Simple: No trailing stop, no staged take-profit, one setup for everything
  3. Gets Slapped Repeatedly in Ranging Markets: Trend-following strategies in ranging markets are money-giving machines

VII. Applicable Scenarios: When to Use It?​

Market EnvironmentRecommended ActionReason
Clear Trend✅ Can trySMA crossovers can follow the trend
Ranging Market❌ Don't useWill get stopped out repeatedly
Downtrend❌ Don't useTrend-following strategies aren't good at shorting
High Volatility⚠️ Reduce position20% stop-loss might get blown through

VIII. Summary: How Good Is This Strategy?​

One-Sentence Review​

"Proof-of-concept product, learning value exceeds profit value."

Who Should Use It?​

  • ✅ Beginners wanting to learn trend-following strategies
  • ✅ People wanting to understand SMA + MACD combinations
  • ✅ Experimenters with spare money wanting to test strategy logic

Who Shouldn't Use It?​

  • ❌ People wanting to make money directly
  • ❌ People without time to optimize strategies
  • ❌ People expecting high win rates

My Advice​

  1. For Learning: Suitable as a learning template to understand basic trend-following concepts
  2. For Modification: Add more filter conditions on this basis, like volume, RSI, etc.
  3. Don't Go Live: Author said it doesn't work well, don't take it seriously

IX. What Markets Can This Strategy Make Money In?​

9.1 Core Logic: Building a "Defense Net" with Simplicity​

AlligatorStrat is a proof-of-concept strategy. About 100 lines of code—what does that mean? Just a simple Python script.

Its Money-Making Philosophy: Catch the trend, simple and rough

  • Trend Following: Use SMA crossovers to determine trend direction
  • Momentum Confirmation: Use MACD to filter false signals
  • Wide Stop-Loss: Give the trend enough room to develop

9.2 Performance in Different Markets (Plain English Version)​

Market TypePerformance RatingPlain English Explanation
📈 Clear Trend⭐⭐⭐⭐☆Can follow the trend when it comes, but might enter late
🔄 Ranging Market⭐⭐☆☆☆Frequent buying and selling, fees eat all profits
📉 Downtrend⭐☆☆☆☆Trend-following strategies aren't good at shorting
⚡️ High Volatility⭐⭐☆☆☆20% stop-loss might not be enough

One-Sentence Summary: Can sip some soup in trending markets, giving money away in ranging markets.

X. Want to Run This Strategy? Check These Configurations First​

10.1 Trading Pair Configuration​

Configuration ItemRecommended ValueComment
Timeframe4hDefault is fine, don't change
Number of Trading Pairs5-20Too many and fees become unbearable

10.2 Hardware Requirements (Easy to Run)​

This strategy is simple, VPS requirements aren't high:

Number of Trading PairsMinimum MemoryRecommended MemoryExperience
1-10 pairs1GB2GBSmooth
10-50 pairs2GB4GBSufficient

Warning: Old computers can run this, no worries 😅

10.3 Backtesting vs Live Trading​

Simple strategies might have smaller differences between backtesting and live trading, but still note:

  • Slippage: Not much impact on 4-hour cycle
  • Liquidity: Large orders might affect execution
  • Fees: Frequent trading can eat profits

Recommended Process:

  1. Backtest first to see results
  2. If backtesting loses money, give up
  3. If backtesting shows profit, then paper trade test
  4. Start live trading with small capital

Don't go all-in right away, no matter how good the strategy, it needs to break in!

XI. Easter Egg: Strategy Author's "Little Secrets"​

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

  1. Commented-Out Code: Author commented out some conditions they originally wanted to use, probably found useless after testing

    "This commented code shows the author tried more complex conditions"

  2. Author's Note: doesn't really perform that well and its just a proof of concept

    "Author is honest, straight up telling you this strategy doesn't work well, haha"

  3. Simple ROI: Only one 10% target

    "Not greedy, take profits and run"

XII. Final Words​

One-Sentence Review​

"Proof-of-concept strategy for learning, don't expect it to make money."

Who Should Use It?​

  • ✅ Beginners wanting to learn trend following
  • ✅ People wanting to understand SMA + MACD combinations
  • ✅ People with time to modify strategies
  • ✅ Experimenters not in a rush to make money

Who Shouldn't Use It?​

  • ❌ People wanting to make money directly
  • ❌ People without time to optimize
  • ❌ People expecting high win rates
  • ❌ Newbies going straight to live trading

Manual Trader Recommendations​

Strategy logic is simple, can be executed manually:

  1. Open 4-hour chart
  2. Add SMA(5), SMA(8), and MACD
  3. Wait for SMA(5) to cross above SMA(8) and MACD above signal line
  4. Enter position, set 10% take-profit, 20% stop-loss
  5. Run when done

XIII. ⚠️ Risk Re-emphasis (Must Read This Part)​

Backtesting Looks Great, Live Trading Be Careful​

AlligatorStrat is simple, but the author themselves said "doesn't really work well":

This strategy is a proof of concept, don't take it seriously.

Simply put: Author is advising against it, and you still want to try?

Hidden Risks of Simple Strategies​

In live trading, simple logic can lead to:

  • Repeated slaps in ranging markets: No conditions to filter ranging
  • Missing big trends: Only 10% take-profit, might miss bigger profits
  • Stop-loss too wide: 20% stop-loss means single loss could be huge

My Advice (Real Talk)​

1. Use this strategy as learning material
2. Add more filter conditions on this basis
3. Backtest, paper trade, then live trade
4. Small capital to test, don't go all-in

Remember: Strategy may be simple, market isn't. Light position testing, survival comes first! 🙏

Final Reminder: Author said "doesn't really perform that well"—listen to advice, eat well 🍚