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Nostalgia Strategy: A "Chronic Chooser" with 31 Different Buy Reasons

Nickname: Terminal Chooser Patient
Profession: Quantitative Trading World's "Player" — so many conditions even the strategy can't remember them all
Timeframe: 5 Minutes (short-term player)

1. What's This Strategy?​

Simply put, Nostalgia is:

  • A strategy with 31 different buy reasons
  • Each reason can be switched on/off ("not feeling it today, only use rule #3")
  • When selling, there are even countless excuses ("made enough, cut losses, something feels off, get out")

Like an old-timer who can come up with 31 reasons to place an order when buying, but 100 reasons to run when selling 🤣

2. Core Settings: Basically "Make This Much or Cut This Much"​

Take-Profit Rules (ROI Table)​

Make 10% right after buying? → Run!
Hold for 30 minutes making 5%? → Run!
Hold for 1 hour making 2%? → Run fast!

Translation: The longer you hold, the lower the standard. Like dating — high standards at first, but as time goes by, "good enough to get by" kicks in 😅

Stop-Loss Rules​

Hard stop-loss: Cut at -10% loss, no discussion
Trailing stop: After making money, retreat 1% before running, but must first make 3% to activate

Translation: Ruthless when losing money, tolerant when making money — classic "cut losses short, let profits run"

3. 31 Entry Conditions: I've Categorized Them for You​

This strategy's entry conditions are absurdly numerous, and I've organized them into 6 categories:

Target Category 1: Oversold Bargain Hunting (6 conditions)​

Core Logic: RSI low, MFI low, price dropped too much, time for a rebound

Plain English:

"This coin is beaten down, RSI below 30, money flow is frozen — if not now to bottom-fish, then when?"

Representative Conditions: #1, #7, #8, #18, #20, #21

Target Category 2: Bollinger Band Breakout (11 conditions)​

Core Logic: Price drops below BB lower band, meaning it's oversold and should revert

Plain English:

"Price broke below the BB lower band — like a rubber band pulled too tight, it's gotta bounce back eventually!"

Representative Conditions: #2, #3, #4, #5, #6, #9, #10, #14, #18, #22, #23

Classic Lines:

  • Condition #2: Close < BB lower band × 0.983 → "Broke below by 1.7%, deep enough, buy!"
  • Condition #4: Close < BB lower band × 0.98 + Volume < average × 10 → "Broke below without volume, probably a fakeout, buy!"

Target Category 3: EMA Golden Cross Trend (5 conditions)​

Core Logic: Fast EMA crosses above slow EMA, trend is looking up

Plain English:

"EMA12 already golden crossed EMA26, trend is up, get on board!"

Representative Conditions: #5, #6, #7, #14, #15

Classic Lines:

  • EMA26 - EMA12 > open price × 0.018 → "Golden cross strength is enough, not a fake signal!"

Target Category 4: SMA Offset (7 conditions)​

Core Logic: Price is below SMA by a certain percentage, meaning undervalued

Plain English:

"Price is 5% below the 30-day MA, such a deal — can't pass this up!"

Representative Conditions: #9, #10, #11, #12, #13, #16, #17

Target Category 5: EWO Waves (6 conditions)​

Core Logic: Elliott Wave Oscillator judges wave position

Plain English:

"EWO shows we're at wave 3 start now — if not boarding now, then when?"

Representative Conditions: #12, #13, #16, #17, #22, #23

Classic Lines:

  • Condition #12: EWO > 1.8 → "Wave is up, charge!"
  • Condition #13: EWO < -11.4 → "Wave went down too hard, time to bounce, reverse charge!"

Target Category 6: Esoteric Indicators (5 conditions)​

Core Logic: Uses some relatively niche indicators

Representative Conditions: #19, #24, #25, #26, #27

Indicator List:

  • Chopiness: Determines if market is ranging or trending
  • Zema/Hull: Various modified MAs with less lag
  • Williams %R: Another version of overbought/oversold indicator

Plain English:

"I can't even pronounce some of these indicator names, but反正 it means 'feeling like it's going up'!"

4. Protection Mechanisms: 31 Layers of "Fuses"​

Each entry condition comes with a set of protection parameters, like insurance for each reason:

Protection TypePurposePlain English
Fast EMAEnsures price is above EMA200"Major trend must be up, right?"
Slow EMA1h level EMA must also be up"1-hour timeframe can't be falling either, right?"
SMA200 Rising200-day MA must be rising"Long-term trend can't break!"
Safe DipCan't buy right after a crash"Don't catch a falling knife!"
Safe PumpCan't chase right after a surge"Don't chase after a 50% pump!"
BTC TrendBTC can't be crashing"Big brother can't collapse, little brothers can rise!"

31 sets of protection parameters = 31 entry conditions × one insurance policy each

This strategy's cautiousness is comparable to checking someone's three generations of family history in a blind date 🤣

5. Exit Logic: Fancier Than Entry​

5.1 Tiered Take-Profit: Run When You Make X%​

Profit Rate      RSI Threshold    Signal Name
────────────────────────────────────────────────
> 20%           < 34            signal_profit_11 (making big money, RSI low also runs)
16%-20%          < 42            signal_profit_10
14%-16%          < 54            signal_profit_9
...
2%-3%           < 34            signal_profit_0 (making small money, RSI low runs fast)

Plain English:

  • Making a lot: Can hold even if RSI is a bit low
  • Making a little: RSI drops a bit, run immediately, secure the win

5.2 Special Scenario Exits​

ScenarioTrigger ConditionPlain English
Below EMA200Price below EMA200 + making money"Trend is bad, take the money and run"
Pump ProtectionDetected 24h/36h/48h pump + making money"This coin pumped 50%, take profit and run, don't be the bag holder"
DowntrendSMA200 falling + making money"Major trend is down, don't be greedy"
Trailing StopPullback from high + RSI moderate"Pulled back from the high, trend might be gone"
Holding DurationHeld over 15 hours + making money"Held this long, time to rotate to the next one"
Williams %RExtreme overbought + making money"RSI hit 80, what are we waiting for?"

5.3 Base Sell Signals (8 total)​

Classic Lines:

  1. Signal #1: RSI > 79.5 + 5 consecutive candles above BB upper band

    "Five consecutive candles outside the upper band, RSI at 80 too, and we're NOT running?"

  2. Signal #2: RSI > 81 + 2 consecutive candles above BB upper band

    "More aggressive version, runs after just 2 candles!"

  3. Signal #4: RSI > 73 + RSI(1h) > 79

    "Both 5-minute and 1-hour overbought, double kill!"

  4. Signal #6: Price < EMA200 + Price > EMA50 + RSI > 79

    "Long-term trend down, short-term overbought, run run run"

  5. Signal #7: RSI(1h) > 81 + EMA12 crosses below EMA26

    "1-hour overbought + death cross, this is about to crash"

  6. Signal #8: Price > 1h BB upper band × 1.1

    "1-hour timeframe broke above upper band by 10%, absurd, run!"

6. The Strategy's "Personality Traits"​

Advantages (The Praise Section)​

  1. Many Conditions to the Max: 31 entry conditions, one is bound to fit the current market
  2. Cautious to the Max: 31 sets of protection parameters, all sorts of anti-chase and anti-knife protection
  3. Flexible Take-Profit: Make more, hold longer; make less, run faster
  4. Multi-Timeframe: 5-minute operation + 1-hour trend + BTC watching big brother
  5. Classic Indicators: All time-tested indicators over decades, not hocus-pocus

Limitations (The Roast Section)​

  1. Parameters Overwhelming: 31 conditions × N parameters, optimization can drive you insane
  2. High Data Demand: Needs sufficient 1h and 5m historical data, new coins won't work
  3. Depends on External Libraries: TA-Lib, technical libraries, installation alone can take hours
  4. May Overfit: 31 conditions, might just be hard-coded "perfect history"
  5. Computationally Heavy: Each cycle computes 20+ indicators, old computers might lag

7. When to Use It?​

Market EnvironmentRecommended ActionReason
Ranging MarketEnable Bollinger Band conditions (#2,3,4,9,10,14,18)Bollinger Bands work best in ranging markets
UptrendEnable EMA trend conditions (#1,5,6,7,15,16)When trend comes, get on board
DowntrendEnable EWO negative conditions (#12,13,17,26,27)Oversold rebound logic
High VolatilityEnable all protection parametersOpen all shields when volatility is high
Low VolatilityRelax protection thresholdsDon't filter yourself out when volatility is low
BTC CrashPause all conditionsWhen big brother crashes, little brothers struggle in vain

8. Bottom Line: How's This Strategy Really?​

One-Word Verdict​

"A seasoned player with so many conditions they can't even remember them all, but genuinely thoughtful"

Who Should Use It?​

  • Quantitative enthusiasts who like studying parameters and tinkering
  • Experienced traders with sufficient historical data
  • Tech-savvy types who can handle complex strategies

Who Should NOT?​

  • People wanting "one-click get-rich-quick"
  • Friends with low-end computers
  • Complete beginners (will be scared off by parameters)

My Advice​

  1. Backtest first: Don't go live immediately, check historical performance first
  2. Reduce conditions: 31 is too many, pick a few suitable for the current market
  3. Adjust parameters: Protection parameters can be adjusted based on coin volatility
  4. Watch BTC: When BTC crashes hard, this strategy can't save you either

9. What Markets Does This Strategy Make Money In?​

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

NostalgiaForInfinity (NFI) is one of the most famous, most complex open-source strategies in the Freqtrade ecosystem. Code volume 10,000+ lines. What's that mean? Like writing a short novel! 📚

Its Money-Making Philosophy: Not about one trick wonder, but about "I have 31 ways to enter, one is bound to fit the current market".

  • Multi-dimensional entry: Oversold rebound, trend breakout, pullback confirmation... you don't need to guess the market, the strategy picks for you
  • Strict risk filtering: Real-time detection of "24h/36h/48h rises" prevents chasing; detects "BTC 1h trend", big brother drops, lie flat
  • Dynamic position management: Supports "won't exit until profitable" feature, can hold through losses to breakeven

9.2 Performance in Different Markets (Plain English Version)​

Market TypeRatingPlain English Explanation
Slow Bull/Ranging UpwardStarsStarsStarsStarsStars (Best)When trend is up, strategy疯狂opens entry conditions, buys on pullbacks, makes money lying down
Wide RangingStarsStarsStars (Okay)Catches bands but many false breakouts, frequent trades, fees might sting
One-Sided SelloffStarsStars (Poor)Though has stop-loss and BTC filtering, liquidity is poor during selloffs, stop-loss slippage can be huge
Extreme SidewaysStar (Terrible)Too little volatility, most entry conditions can't trigger, strategy directly "hibernates"

One-Line Summary: Makes money in bull markets, doesn't lose big in bear markets, lies flat during sideways

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

10.1 Trading Pair Configuration​

Config ItemRecommended ValueCommentary
Number of trading pairs40-80 USDT trading pairsDon't overdo it or underdo it, 40-80 is just right
Quote currencyUSDTDon't use BTC/ETH as quote, things get messy
Maximum positions4-12 ordersToo many open positions and you can't keep track
Position modeFull margin (unlimited)Equal distribution per position
Timeframe5mMandatory, don't struggle, can't change

10.2 Key Config File Settings​

timeframe: 5m                    # Don't change, breaks if you do
use_exit_signal: true            # Use strategy's own sell signal
exit_profit_only: false          # Cut when needed, don't hold desperately
ignore_roi_if_entry_signal: true # When sell signal comes, ROI table takes a back seat

10.3 Hardware Requirements (Important!)​

This strategy is computationally heavy and has RAM demands:

Number of PairsMinimum RAMRecommended RAMExperience
20-40 pairs2GB4GBCan run, but don't expect speed
40-80 pairs4GB8GBComfortable, recommended config
80+ pairs8GB16GBRich people flex freely

Warning: If RAM isn't enough, the strategy might lag due to calculation timeouts, don't blame the strategy when you lose money 😅

10.4 Backtest vs. Live Trading​

NFI includes dynamic position adjustment and Hold Support, hard to fully simulate in regular backtesting.

Recommended Process:

  1. Backtest first to see approximate performance
  2. Dry-Run for 1-3 months
  3. Small capital live test
  4. Scale up after stability

Don't go all-in right away, even the best strategy needs a磨合 period!

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

Look closely at the code and you'll find some interesting things:

  1. hold-trades.json: Can configure "force hold" certain trading pairs until they make enough money

    "I like this coin, won't sell even at a loss, only exits when profitable!"

  2. 31 Entry Condition Numbers: From #1 to #31, but actually only 20+ may be in use

    "Wrote a few more for backup, they'll come in handy someday"

  3. Sell Signal Naming: Names like signal_profit_w_1_1, the author themselves probably can't remember them

    "As long as the code can recognize them, whether humans can read them doesn't matter"

12. The Very End​

One-Word Verdict​

"A seasoned player with so many conditions they can't even remember them all, but genuinely thoughtful"

Who Should Use It?​

  • Quantitative enthusiasts who like studying parameters and tinkering
  • Experienced traders with sufficient historical data
  • Tech-savvy types who can handle complex strategies
  • Friends with VPS RAM above 4GB

Who Should NOT?​

  • People wanting "one-click get-rich-quick"
  • Friends with low-end computers (2GB RAM, don't try)
  • Complete beginners (will be scared off by parameters)
  • People expecting to make money during sideways (this strategy can't do that)

Manual Trader Advice​

If you trade manually, NFI is suitable when the broader market is above MA20 and MAs are in bullish alignment; for fully automated operation, it is recommended to enable Bitcoin trend filtering, which helps automatically "lie flat" for defense when the broader market turns bearish.

13. Final Warning (Must Read!)​

Backtests Look Great, Live Trading Requires Caution​

NFI strategy often shows extremely impressive historical backtest performance — but there's a trap:

Because there are many parameters, the strategy easily "fits" the optimal solution for past market conditions, but that doesn't mean it will definitely profit in the future.

Simply put: Backtest data looks good, probably because it's too good at "memorizing answers".

Hidden Risks of Complex Strategies​

In live trading, complex logic may cause:

  • Unexpected behavior in extreme markets: Such as chain stop-losses, condition misfires
  • Calculation delays: Too many indicators, VPS lag may miss best buy/sell points
  • Protection mechanism failures: Theoretically has many protections, but may not work as expected in real markets

My Advice (Sincere Words)​

1. Test with minimum capital (e.g., 100U) first
2. Live run for at least 1 month, observe performance in various extreme markets
3. Verify all protection mechanisms work as expected in real markets
4. Consider scaling up only after stability

Remember: Strategies are rigid, markets are alive. Even the most complex strategy can't handle black swans.

Final Reminder: No matter how good a strategy is, the market doesn't give warnings. Test with light positions, staying alive is what matters!