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Schism6 Strategy: The "Time-Thinking" Smart Dip Hunter

Nickname: The Time Philosopher Role: Trend Pullback Hunter Timeframe: 5 minutes + 1 hour dual engine

I. What is This Strategy?​

Simply put, Schism6 is:

  • Dual timeframe analysis (big timeframe for direction, small for entry)
  • Dynamic parameter system (longer holding = more lenient rules)
  • Smart position management (watching global slots for decisions)

Like a short-term trader with big-picture thinking, it checks the 1-hour trend first, then finds pullback opportunities on the 5-minute chart, and gets more patient the longer it holds.

II. Core Configuration: "Take Profits, But Don't Rush"​

Take Profit Rules (ROI Table)​

Immediately  → 2.5% profit? Consider exiting
10 minutes   → 1.5% is fine too
20 minutes   → 1% is acceptable
30 minutes   → 0.5% - better than nothing
2 hours      → Break-even? Time to leave

Translation: This strategy is a "quick-handed short-termer" - take profits and go, don't be greedy. No profit after 2 hours? Break-even retreat, don't be friends with time.

Stop-Loss Rules​

Hard stop-loss: -10% (final line of defense)
Dynamic stop-loss: -3% at 0 min, break-even at 5 hours holding

Translation: Strict stop-loss when just entering (-3%), gets more lenient the longer you hold, giving the trend time to develop.

III. Buy Conditions: Two Scenarios, Each With Its Own Logic​

Scenario 1: How to Buy When Empty?​

This strategy's entry logic is a bit complex, let me break it down:

First Check the Big Picture (1-hour level):

  • RSI >= 65 → Market is strong, not buying dip in weakness

Then Check Specific Price Level:

  • Price <= 3-day low + 87% of range
  • Meaning: Enter near support level

Finally Check Entry Timing (RMI indicator):

  • RMI slow >= 33 (not extremely weak)
  • RMI fast <= 41 (fast line not overbought)
  • During RMI downtrend (in pullback)

Plain English:

"Big timeframe strong, small timeframe pulling back, position near support - that's when I strike."

Classic Lines:

  • Condition: RSI(1h) >= 65 → "Following the trend"
  • Condition: Price <= 3-day low + 87% ADR → "Cheap is cheap"
  • Condition: RMI downtrend → "Buy when others are fearful"

Scenario 2: How to Add When Already Holding?​

Already have a position? Strategy checks if it can add:

Conditions:

  1. RMI uptrend (trend continuing)
  2. Current profit > peak profit × dynamic factor
  3. RMI slow >= linear growth threshold

What is Linear Growth?

Holding 3 hours → Add threshold RMI >= 30
Holding 6 hours → Add threshold RMI >= 50
Holding 12 hours → Add threshold RMI >= 70

Plain English:

"The longer you hold, the higher the threshold for adding. Just bought? Can add. Been holding all day? Don't mess around."

This prevents adding at high positions, protecting existing profits.

IV. Sell Logic: Three Signals, Each Smarter Than the Last​

4.1 Dynamic Stop-Loss: More Lenient Over Time​

Just entered     → Stop at -3%
Holding 2.5 hrs  → Stop at -1.5%
Holding 5 hours  → Break-even exit

Plain English:

"New positions get strict stop-loss, old positions get a chance to turn around."

4.2 Trend Reversal Signals​

ScenarioTrigger ConditionPlain English
Had profit beforeRMI crosses below 50"Trend weakening, time to go"
Never made moneyRMI crosses below 10"Completely dead, cut losses"

4.3 Slot Management: The Big Picture​

This is where the strategy is smartest:

if has free slots:
    Other pairs need to be profitable to sell
    # Avoid selling too early and missing rebounds
else:
    Only sell the biggest loser
    # When slots are tight, prioritize releasing worst position

Plain English:

"Slots available? No rush. Slots full? Clear the worst one first."

V. This Strategy's "Personality"​

Pros (The Good Stuff)​

  1. Multi-Timeframe Confirmation: Not blindly buying dips, checks big timeframe first
  2. Dynamic Risk Control: Auto-adjusts risk parameters based on holding time, human-like
  3. Global View: Makes decisions watching all positions, not isolated single trades
  4. Peak Protection: Sets protection after making money, won't let profit turn to loss
  5. Entry Confirmation: Rejects limit orders if price deviates too much, prevents slippage

Cons (The Not-So-Good Stuff)​

  1. High Complexity: So many parameters, beginners get dizzy
  2. Depends on Live Data: Backtesting can't run add-on logic, only live can verify
  3. High Computational Cost: Queries database every time, gets slow with many pairs
  4. Hard to Tune: Buy parameters are optimized, may need redo for different markets

VI. Applicable Scenarios: When to Use It?​

Market EnvironmentRecommendationReason
Slow Bull Uptrend✅ Default parametersPullback dip-buying strategy's perfect home
Moderate Oscillation⚠️ Raise stop-lossMay stop out frequently, but can catch swings
Rapid Decline❌ Don't useMulti-timeframe RSI fails, buying halfway down
Extreme Volatility❌ Stay awayHigh slippage, distorted indicators

VII. What Market Can This Strategy Make Money In?​

7.1 Core Logic: The Trend Pullback Hunter​

Schism6 is a trend pullback strategy. Its profit philosophy:

"Big timeframe strong + Small timeframe pullback = Golden entry point"

  • Multi-Timeframe: 1-hour for direction, 5-minute for entry
  • Support Entry: Uses ADR to calculate support zones, not blind buying
  • Dynamic Risk Control: Gives trends enough time to develop

7.2 Performance in Different Markets (Plain English)​

Market TypeRatingPlain English
Slow Bull Trend⭐⭐⭐⭐⭐Pullbacks are adding opportunities, strategy matches perfectly
Moderate Oscillation⭐⭐⭐☆☆Can profit but fees hurt, patience for breakout
Sustained Decline⭐⭐☆☆☆RSI strength fails, buying halfway down the slide
Extreme Volatility⭐☆☆☆☆Indicators jumping around, slippage exploding, stay away

One Line Summary: Use in bull pullbacks, hide in bear oscillations.

VIII. Want to Run This Strategy? Check These Configs First​

8.1 Trading Pair Configuration​

ConfigurationRecommendedComment
startup_candle_count72Need enough historical data for indicators
inf_timeframe1hCan try 4h
stoploss-0.10Default, depends on your risk tolerance

8.2 Hardware Requirements (Important!)​

This strategy queries database every time, has VPS requirements:

Trading PairsMin MemoryRecommendedExperience
1-10 pairs2GB4GBSmooth
11-30 pairs4GB8GBDecent
30+ pairs8GB16GBNeed good machine

Warning: With many pairs, populate_trades becomes a performance bottleneck.

8.3 Backtesting vs Live​

Here's the catch: Backtesting returns empty data from populate_trades, so:

  • Add-on logic won't trigger
  • Slot management logic won't execute
  • Dynamic stop-loss only relies on ROI table

Recommended Process:

  1. Backtest to verify basic logic first
  2. Dry-run for a few days to see add-on effects
  3. Small capital live verification
  4. Gradually increase position

Don't go all-in from the start - backtesting and live are quite different for this strategy!

IX. Easter Egg: The Strategy Author's "Little Details"​

Look carefully at the code, you'll find some interesting designs:

  1. TTLCache: Current price cached for 5 minutes

    "Don't call API too often, exchange will ban you"

  2. Order Timeout Cancel: Cancel if price deviates 1%

    "Too much slippage? Not doing it, principle matters"

  3. Entry Confirmation: Same 1% deviation rejection

    "Limit order means limit price, don't try to trick me"

  4. ignore_roi_if_buy_signal: Ignore ROI when buy signal exists

    "Forget ROI, adding opportunity is here!"

X. Summary: How Good Is This Strategy?​

One-Line Verdict​

"Like an experienced short-term trader, has big-picture view, knows risk control, and adjusts dynamically."

Who Should Use It?​

  • ✅ Experienced quant developers (can understand code logic)
  • ✅ Traders familiar with trend pullback strategies
  • ✅ People with time to watch and optimize parameters
  • ✅ Investors who understand "time for space"

Who Shouldn't Use It?​

  • ❌ Newbie beginners (too many parameters, discouraging)
  • ❌ Those only looking at backtests (can't run add-on logic)
  • ❌ Those wanting passive income (needs continuous optimization)
  • ❌ Those trading in sustained decline markets (buying halfway down)

My Recommendation​

  1. Understand First: Figure out what RMI, ADR, linear growth functions are
  2. Then Backtest: Verify basic entry/exit logic
  3. Then Dry-Run: See add-on and slot management effects
  4. Finally Live: Start small, gradually increase

XI. ⚠️ Risk Re-emphasis (Must Read)​

Backtesting Looks Great, Live Needs Caution​

Schism6 is elegantly designed - but there's a trap:

Because add-on logic can't run in backtesting, live performance may differ greatly from backtesting.

Simply put: Backtesting only shows basic logic, add-ons are the strategy's soul.

Hidden Risks of Complex Strategies​

In live trading, complex logic may cause:

  • Slow database queries: Many pairs will lag
  • Dynamic parameter drift: Holding time calculation may have deviations
  • Slippage risk: 5-minute level has high volatility
  • API rate limiting: Frequent price queries may get blocked

My Suggestion (Honest Truth)​

1. Start with small capital, no more than 10% of total position
2. Run a few pairs first, don't be greedy
3. Check logs daily, understand strategy decisions
4. Record every add-on and stop-loss trigger
5. Fine-tune parameters based on live performance

Remember: No matter how good the strategy, the market teaches lessons without warning. Test lightly, staying alive is most important!