Cryptocurrency Trading Strategy Advisor

Builds a disciplined, rules-based crypto trading strategy with entry/exit signals, position sizing, and risk management.

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# Cryptocurrency Trading Strategy Advisor You are a professional cryptocurrency trading analyst with deep expertise in technical analysis, on-chain metrics, and disciplined risk management. Design a clear, rules-based trading strategy for **{{cryptocurrency}}** tailored to the parameters below. Treat this as educational analysis, not personalized financial advice. ## Inputs - **Asset:** {{cryptocurrency}} - **Trading Style:** {{trading_style}} (e.g. day trading, swing trading, position trading) - **Account Size:** {{account_size}} - **Portfolio Allocation:** {{portfolio_allocation_percentage}} - **Max Risk Per Trade:** {{max_risk_per_trade_percentage}} - **Risk Tolerance:** {{risk_tolerance}} ## Step-by-Step 1. **Market context** — Summarize the current regime (trend, range, or volatility) using technical structure, key support/resistance, and Bitcoin correlation. 2. **Multi-factor read** — Briefly assess technicals (RSI, MACD, moving averages, volume), on-chain signals (exchange flows, large-holder activity), and sentiment (fear/greed, news catalysts). Flag where signals conflict. 3. **Trade plan** — Define precise entry triggers, stop-loss placement, and take-profit targets with a scaling-out plan. 4. **Position sizing** — Calculate position size from the max risk per trade and stop distance, respecting the allocation limit. 5. **Invalidation** — State the exact conditions that void the setup and when to step aside. ## Deliver - A numbered, actionable **trading rule set** the user can follow without interpretation. - A **risk table** with entry, stop, target(s), reward-to-risk ratio, and calculated position size. - **Risk management notes:** volatility, liquidity/slippage, regulatory exposure, and wallet/exchange security. - A short **scenario plan** for the strategy succeeding versus failing. ## Format Use markdown with clear headings, a table for entry/exit levels, and bold for critical numbers. Use placeholder price levels and label assumptions; never invent real-time prices. Close with a one-line reminder that crypto is highly volatile and the user should verify data and manage capital responsibly.
Fill in the variables

Example run

Generated by Claude Opus 5.5 on September 23, 2026

Inputs used

Cryptocurrency
Ethereum (ETH)
Trading style
Swing trading (holding positions 3–10 days, using 4H and daily charts)
Account size
$25,000 USD
Portfolio allocation percentage
20%
Max risk per trade percentage
1.5%
Risk tolerance
Moderate — comfortable with swing-trade drawdowns but wants defined stop-losses and no more than 2 concurrent leveraged positions

Ethereum (ETH) Swing Trading Strategy: Rules-Based Framework

Educational analysis only, not personalized financial advice. I don't have live market data, so every price level below is a labeled placeholder. Replace each one with levels from your own charts before trading.


0. Assumptions and Core Constraints

Parameter Value Derivation
Account size $25,000 Given
ETH allocation cap $5,000 20% × $25,000
Max risk per trade $375 1.5% × $25,000
Max concurrent positions 2 Given
Holding period 3–10 days Given
Timeframes Daily for bias and levels, 4H for entry triggers Given

Key interpretation (Assumption A1): I treat the 20% allocation as a cap on total ETH notional exposure, including leveraged exposure. Leverage may only reduce the collateral you park on an exchange. It never raises exposure above $5,000.

Consequence: Position size is always the smaller of:

  1. Risk-based size = $375 ÷ stop distance ($ per ETH)
  2. Allocation-based size = $5,000 ÷ entry price

With typical swing stops of 4–7%, the allocation cap usually binds. Your real risk per trade will often be $200–$350 (0.8–1.4%), under the 1.5% ceiling. That is intended and fits a moderate risk profile.


1. Market Context: Regime Classification

Classify the regime on the daily chart before every trade. The regime decides which setups are allowed.

Regime Criteria (all must hold) Allowed Setups
Uptrend Price > 50D EMA > 200D EMA; higher highs and higher lows over the last 20 days; ADX(14) > 20 A (pullback long), B (breakout long)
Downtrend Price < 50D EMA < 200D EMA; lower highs and lower lows; ADX(14) > 20 C (rejection short), optional
Range ADX(14) < 20; price oscillating between a defined support and resistance for ≥ 15 days Range-edge trades only, at half size
High volatility / chaotic Daily ATR(14) > 1.5× its 60-day average, or a daily candle > 10% No new trades

Key levels template (fill in from your chart):

Level Placeholder How to identify
Major resistance (R1) $3,200 Prior daily swing high tested ≥ 2 times
Major support (S1) $2,900–$2,950 Prior breakout level or high-volume node
Deep support (S2) $2,650 200D EMA or last major higher low

Bitcoin correlation check: ETH's rolling 30-day correlation with BTC is often high, commonly 0.7–0.9 (Assumption A2; verify on your platform).

  • BTC filter: Take ETH longs only if BTC is above its own 50D EMA. Take shorts only if it is below.
  • ETH/BTC ratio: A rising ratio (above its 20D EMA) means ETH is outperforming, which supports longs. A falling ratio calls for caution on longs.

2. Multi-Factor Read: Scoring Checklist

Score each factor +1 (bullish), 0 (neutral), or −1 (bearish) before each trade.

Category Factor Bullish (+1) Bearish (−1)
Technical Daily RSI(14) 45–65 and rising < 40, or > 75 with divergence
Daily MACD (12,26,9) Above signal line, histogram rising Below signal line, histogram falling
Moving averages Price > 20D > 50D EMA Price < 20D < 50D EMA
Volume Up-days volume > down-days volume (10-day) Selloffs on expanding volume
On-chain Exchange netflow (7-day) Net outflows Large net inflows
Large holders (1k–10k ETH wallets) Balances rising Balances falling
Staking flows Net deposits Rising withdrawal queue
Sentiment/Derivatives Fear & Greed Index 25–60 > 80 (euphoria) or < 15 with no base
Perp funding rate Neutral to slightly positive Extreme positive (> 0.05%/8h), a crowded long
Catalysts No major event within 48h FOMC/CPI, major upgrade, or regulatory ruling within 48h

Decision thresholds:

  • Longs: total score ≥ +4 and no category net-negative
  • Shorts: total score ≤ −4 and no category net-positive
  • Otherwise: no trade

Common conflicts to flag:

  • ⚠️ Price trending up while exchange inflows spike. Holders may be preparing to sell into strength. Reduce size by 50% or wait.
  • ⚠️ Bullish technicals with extreme funding (crowded longs). Long-squeeze risk is high. Enter only on a pullback, never on a breakout.
  • ⚠️ Oversold RSI during a strong downtrend. Oversold readings can persist, so this is not a long signal on its own.
  • ⚠️ ETH setup is bullish but BTC is breaking down. The BTC filter wins and you skip the trade.

3. Trade Plan: Setups

Setup A: Trend Pullback Long (Primary)

  • Context: Uptrend regime. Price pulls back into S1 or the 20D/50D EMA zone.
  • Trigger: A 4H candle closes back above the 4H 20 EMA after touching the support zone, with 4H RSI crossing back above 40.
  • Stop: Below the pullback swing low, minus 0.5 × 4H ATR(14).
  • Targets: 1.5R, 2R, and a trailing runner.

Setup B: Breakout-Retest Long

  • Trigger 1: A daily close above R1 on volume ≥ 1.5× the 20-day average.
  • Trigger 2: Enter on the first 4H retest of R1 that holds, meaning a 4H close stays above R1. Never chase the breakout candle.
  • Stop: A 4H close back below R1, with a hard stop below R1 minus 1 × 4H ATR.

Setup C: Rejection Short (Optional, downtrend regime only)

  • Trigger: Price rallies into resistance or the 50D EMA, then a 4H candle closes below the 4H 20 EMA with RSI turning down from 55–60.
  • Stop: Above the rally high plus 0.5 × 4H ATR.
  • Note: Shorts need derivatives, which adds funding cost and liquidation risk. Run this setup at half size until you have logged 10+ trades with it.

Scaling-Out Plan (all setups)

Portion Exit Stop action after the fill
40% Target 1 (1.5R) Move stop to breakeven
30% Target 2 (2R) Move stop to T1
30% Runner: trail below the 4H 20 EMA (4H close), or exit at 3R Exit on the first 4H close below the trail

Time stop: If price hasn't reached +1R by day 5, exit half the position. Close any remainder by day 10.


4. Position Sizing: Worked Examples (Placeholder Prices)

Formula:

Risk-based size (ETH)       = $375 ÷ (Entry − Stop)
Allocation-based size (ETH) = $5,000 ÷ Entry
Final size                  = MIN(the two), rounded down to 0.01 ETH
Actual $ risk               = Final size × (Entry − Stop)

Setup A Example: Entry $2,980, Stop $2,830

  • Stop distance = $150 (5.03%)
  • Risk-based size = 375 ÷ 150 = 2.50 ETH ($7,450 notional, which exceeds the cap)
  • Allocation-based size = 5,000 ÷ 2,980 = 1.677, rounded down to 1.67 ETH
  • Final: 1.67 ETH ≈ $4,977 notional → actual risk $250.50 (1.00% of account)
Portion Size Exit Profit
T1 (40%) 0.668 ETH $3,205 +$150.30
T2 (30%) 0.501 ETH $3,280 +$150.30
Runner (30%) 0.501 ETH $3,430 (3R cap) +$225.45
Total if all targets hit +$526.05 (≈ 2.1R blended)

Fees and slippage (~0.1–0.2% round trip) cut roughly $10–$20 from these figures.

Risk Table

Setup Entry Stop Stop % T1 (1.5R) T2 (2R) Runner (3R) Blended R:R Size Notional $ Risk
A: Pullback Long $2,980 $2,830 5.03% $3,205 $3,280 $3,430 2.1 : 1 1.67 ETH $4,977 $250.50
B: Breakout-Retest Long $3,220 $3,060 4.97% $3,460 $3,540 $3,700 2.1 : 1 1.55 ETH $4,991 $248.00
C: Rejection Short (half size) $2,620 $2,760 5.34% $2,410 $2,340 $2,200 2.1 : 1 0.95 ETH $2,489 $133.00
Wide-stop case $3,000 $2,760 8.00% $3,360 $3,480 $3,720 2.1 : 1 1.56 ETH (risk-bound) $4,680 $374.40

All prices are illustrative placeholders. The wide-stop row shows the case where the $375 risk cap binds before the allocation cap does.

Breakeven math: At a blended 2.1R, you are profitable with a win rate above ~32%, before fees.


5. Invalidation: When the Setup Is Void

Cancel the pending order, or exit the open trade, if any of these occur:

  1. Structural break: A daily close below the setup's support (longs) or above its resistance (shorts). Exit at the next 4H open even if the hard stop hasn't triggered.
  2. BTC filter flip: BTC posts a daily close below its 50D EMA while you are long (or above it while you are short). Tighten the stop to breakeven or exit.
  3. Trigger didn't fire in time: No 4H trigger within 3 days of price entering the zone. Cancel the order and re-evaluate.
  4. Volatility shock: A daily candle > 10%, or ATR > 1.5× its 60-day average. No new entries for 48h.
  5. Event risk: No new entries within 24h before FOMC, CPI, or major ETH network or regulatory events.
  6. Score deterioration: The multi-factor score drops below +2 on a long (or above −2 on a short) while you are in the trade. Take partial profit or tighten the stop.

Step-aside rules (circuit breakers):

  • 3 consecutive losses: stop trading for 7 days and review your journal.
  • Monthly drawdown of −4.5% of the account ($1,125): no new trades until next month.
  • ETH sleeve drawdown of −15% ($750): cut all sizes by 50% for the next 5 trades.

6. Numbered Trading Rule Set

  1. Every Sunday, classify the regime on the daily chart using the Section 1 table and record it.
  2. Mark R1, S1, and S2 on the daily chart. Enter them as price alerts.
  3. Trade only the setups allowed in the current regime. No trades in the high-volatility regime.
  4. Before any entry, confirm BTC is on the correct side of its 50D EMA.
  5. Complete the multi-factor scorecard. Proceed only if the score is ≥ +4 for longs or ≤ −4 for shorts.
  6. Wait for the exact 4H candle close trigger. Never enter on an intrabar move.
  7. Calculate the stop from structure plus the ATR buffer before calculating size.
  8. Size = MIN($375 ÷ stop distance, $5,000 ÷ entry), rounded down to 0.01 ETH.
  9. Place the hard stop-loss order immediately after entry. Never use a mental stop.
  10. Place limit orders for T1 (40%) and T2 (30%) at entry.
  11. After T1 fills, move the stop to breakeven. After T2 fills, move the stop to T1.
  12. Trail the runner below the 4H 20 EMA on a closing basis, capped at 3R.
  13. If price isn't at +1R by day 5, close half. Close everything by day 10.
  14. Maximum 2 open positions. Combined notional must stay ≤ $5,000. Open a second position only after the first position's stop is at breakeven.
  15. Leverage: maximum 3x, isolated margin only. The liquidation price must be at least 3× the stop distance beyond entry.
  16. Never widen a stop. Never average down.
  17. Log every trade: setup, score, entry, stop, exits, R-multiple, and screenshots.
  18. Obey the circuit breakers in Section 5 without exception.

7. Risk Management Notes

Volatility

  • ETH commonly moves 3–6% per day and can gap 10–20% on liquidation cascades. Stops can fill worse than planned during these moves.
  • Budget for 0.5–1% slippage on stops during fast markets. Your $250 planned risk could realistically become about $275–$300.
  • Weekends have thinner liquidity. Consider tightening stops or reducing size before Friday's close.

Liquidity and Slippage

  • Trade only on top-tier venues with deep ETH order books. At $5,000 notional, your order has negligible market impact, but slippage on stop-market orders is still real.
  • Use limit orders for entries and targets and stop-market orders for stops. A stop-limit can leave you unfilled in a crash.
  • Perpetual funding costs add up over 3–10 days. At 0.01% per 8h, that is about 0.3% per 10 days of notional. Include it in your R:R.

Regulatory Exposure

  • Derivatives and leverage access varies by jurisdiction, and some regions restrict perpetuals for retail users. Confirm that your exchange is licensed where you live.
  • Every closed swing trade is typically a taxable event. Short-term gains are often taxed at higher rates. Keep exportable trade records.
  • Rulings on ETH's regulatory status or on exchange enforcement can cause sudden gaps. Treat major regulatory headlines as event risk (Invalidation Rule 5).

Wallet and Exchange Security

  • Keep only the active trading collateral on the exchange. At 3x leverage, that is roughly $1,700–$2,500. Hold the remainder of the $5,000 sleeve in self-custody.
  • Use a hardware wallet for long-term holdings, hardware-key 2FA (not SMS), withdrawal-address allowlisting, and anti-phishing codes.
  • Spread counterparty risk: don't keep more than one sleeve's worth of funds on any single exchange.
  • Never share seed phrases. Verify withdrawal addresses character by character.

8. Scenario Plan

✅ Strategy Succeeding

Signs: trades reach T1 regularly, win rate ≥ 40%, average R ≥ 1.8, BTC and ETH trends aligned.

  • Keep executing without changes. Do not raise size out of excitement. The risk rules stay fixed.
  • After 30+ logged trades with a positive expectancy, you may review whether to widen the allocation. That decision belongs to your overall portfolio plan, not to a hot streak.
  • Take profits out of the sleeve monthly, so the ETH sleeve rebalances back to 20% of the account.

❌ Strategy Failing

Signs: repeated stop-outs before T1, false breakouts, choppy price action, or BTC/ETH correlation breaking down.

  • Most likely cause: the regime has shifted to a range or chop that the trend setups aren't built for. Re-run the Section 1 classification.
  • The circuit breakers trigger automatically: a 7-day pause after 3 losses, and a halt at a −4.5% monthly drawdown.
  • Review your journal. Ask whether you followed every rule. If not, the problem is execution, not the strategy. If you did, cut size by 50% or step aside until ADX exceeds 20 again.
  • Worst realistic case: 5 consecutive losses at about $250 each ≈ −$1,250 (−5% of the account), which the monthly circuit breaker would cap earlier. The account survives to trade the next favorable regime.

⚠️ Crypto is highly volatile and can lose substantial value quickly. Verify all price data yourself, replace every placeholder level with your own analysis, and never risk capital you can't afford to lose.

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