Backtesting Arena

Backtesting Arena

PricingBlogBuild SaaS
🧭How it works🥋Strategies📖Wiki📓Glossary🎓How-To📚Reports
🧭Market State Today
🧱Market Structure₿BTC × Macro📈Market Pulse
🌀Arena Pulse
🌡Arena Heat Chart
🎯Dip Decision Tool
💶DCA vs. Lump Sum
🔗Portfolio Correlation
💧Liquidity Fair Value
🌍Macro Regime
🌐Market Pulse (Multi-Asset)soon
📊Bitcoin Charts
📍Max Pain History
🧘Bitcoin Lifestyle Calculator
📖Bitcoin Wiki
🔥Altcoin SeasonPro
💎Altcoin Screener
📥Market Charts
📊Strategy InsightsPro
🌍Market InsightsPro🔬Filter InsightsElite
🧪Edge Library
🥇Edge Leaderboard
📡Live Tracking
⏳Volatility InsightsPro
🏅Arena Score
💼Portfolio
₿Crypto
⚡Leverage BacktestPro
📈Tokenized RWAPro
📋My Backtests
⚖️Active vs Passive
🔔Alerts
🚦Signal Status
🤖Grid Bot Testing
🧪Strategy Mixersoon
🏆Winner's List
🎰Backtest Roulette
🌡️Sentiment
💡Improvements
🎁Referral
💬Telegram
🦋Bluesky
👥Reddit
𝕏X (Twitter)
🧭How it works
🥋Strategies
📖Wiki
📓Glossary
🎓How-To
📚Reports
🏠Overview
📖API Docs (interactive)
🔑Keys & Plans
📜OpenAPI 3.1
📦Postman Collection
🤖llms.txt
🧩skill.md
📝 BlogBuild SaaS💳 Pricing
LoginSign up

⚠ Not financial advice. All backtests are historical simulations — no guarantee of future results.

Study the Past — Improve your Future.

🟠Backtesting Arena· © 2026
How it worksPricingLeaderboardAPIImpressumDatenschutzAGBCookie-HinweisKontakt
📘 Built with Claude — how this platform was built in 70h (guide + boilerplate)→
Backtesting Arena

Backtesting Arena

PricingBlogBuild SaaS
🧭How it works🥋Strategies📖Wiki📓Glossary🎓How-To📚Reports
🧭Market State Today
🧱Market Structure₿BTC × Macro📈Market Pulse
🌀Arena Pulse
🌡Arena Heat Chart
🎯Dip Decision Tool
💶DCA vs. Lump Sum
🔗Portfolio Correlation
💧Liquidity Fair Value
🌍Macro Regime
🌐Market Pulse (Multi-Asset)soon
📊Bitcoin Charts
📍Max Pain History
🧘Bitcoin Lifestyle Calculator
📖Bitcoin Wiki
🔥Altcoin SeasonPro
💎Altcoin Screener
📥Market Charts
📊Strategy InsightsPro
🌍Market InsightsPro🔬Filter InsightsElite
🧪Edge Library
🥇Edge Leaderboard
📡Live Tracking
⏳Volatility InsightsPro
🏅Arena Score
💼Portfolio
₿Crypto
⚡Leverage BacktestPro
📈Tokenized RWAPro
📋My Backtests
⚖️Active vs Passive
🔔Alerts
🚦Signal Status
🤖Grid Bot Testing
🧪Strategy Mixersoon
🏆Winner's List
🎰Backtest Roulette
🌡️Sentiment
💡Improvements
🎁Referral
💬Telegram
🦋Bluesky
👥Reddit
𝕏X (Twitter)
🧭How it works
🥋Strategies
📖Wiki
📓Glossary
🎓How-To
📚Reports
🏠Overview
📖API Docs (interactive)
🔑Keys & Plans
📜OpenAPI 3.1
📦Postman Collection
🤖llms.txt
🧩skill.md
📝 BlogBuild SaaS💳 Pricing
LoginSign up
Strategies›Take-Profit / Re-Entry
Take-Profit / Re-Entry master

Take-Profit / Re-Entry Strategy

Systematic trend-following that locks in gains at defined levels and waits for meaningful pullbacks before re-entering — unlike Buy & Hold, it actively captures uptrend profits.

Try in Arena →View Live Insights →

Quick Facts

Type:
Trend Following
Plan:
Free
Asset Classes:
Crypto · Tokenized RWA
Indicators:
Take-Profit Level · Post-Sell High

Community Performance

ⓘ
CAGR
-59.2%
Win Rate
45%
Max DD
-89%

Basis: 31 user backtests · BTCUSDT · 1d · 4 years

How It Works

Take-Profit / Re-Entry starts with a full position on the first day of the period and holds until the asset rises by a defined percentage (the Take-Profit level). Once triggered, it exits entirely and waits — tracking the highest price seen since the exit. When the price drops a defined percentage below that post-exit high, it re-enters with full capital. This repeats until the end of the period.

Why it works in trending markets: In strong uptrends (like Bitcoin bull cycles), the strategy compounds gains by capturing multiple +50% legs while sitting out the corrections in between. Unlike Buy & Hold, it avoids giving back large portions of accumulated gains during deep pullbacks.

Where it struggles: In sideways markets or periods with no sustained trend, the take-profit level may never be reached, leaving the strategy permanently in an initial position. During sharp, fast recoveries after a sell, it may re-enter too late and miss part of the next leg up.

Open position at end of period: If the strategy is still holding when the backtest ends, the final unrealized value is included in the return calculation. This is clearly marked in the results — the return reflects a mix of realized gains and one open position.

Entry & Exit Rules

▲Entry

  • ●Day 1 of the trading window — buy at close (initial entry, always)
  • ●After a sell: re-enter when current close ≤ post-sell high × (1 − reEntryDropPct / 100)

▼Exit

  • ●Sell when current close ≥ entry price × (1 + takeProfitPct / 100)
  • ●End of period — if still in position, mark as open (unrealized)

Parameters

NameDefaultRangeDescription
Take-Profit (%)505–200Sell when the position is this % above the entry price. Higher values = fewer trades, larger gains per trade but more exposure during corrections.
Re-Entry Drop (%)305–80Re-enter when price has dropped this % from the post-sell high. Lower values = earlier re-entry but may catch false pullbacks; higher values = more patient but risks missing the move.

Live Backtest

The pre-baked mini-backtest is refreshed daily — check back soon or start a live run in the Arena.

Run in Arena →

Performance per Asset

Top-10 assets by average CAGR (1d interval), aggregated from community + platform backtests. Actual results depend on parameters and period.

AssetCAGRvs B&H★Win%YearsRuns
BTCUSDT+18.1%-7.1pp—100%8.51
PAXGBNB-0.4%+0.1pp—0%3.31
THETAETH-3.5%+9.3pp—0%6.51
OCEANBNB-6.4%+4.8pp—0%3.91
OCEANBTC-7.1%+6.1pp—0%3.91
MKRBTC-12.6%+17.5pp—0%5.11
PONDBUSD-16.4%+20.3pp—0%2.61
JOEBUSD-17.4%+11.3pp—0%1.81
SCETH-19.4%+23.0pp—0%7.61
SUSHIBNB-24.0%+29.8pp—0%3.11
pp = delta vs avg-B&H · ★ = robustness score 0-100 (CAGR / win-rate / drawdown / consistency).Full Insights →

Pseudo-Code

expand
// Day 1 (always)
BUY at close — entry_price = close

// Each subsequent day
IF in_position:
  IF close >= entry_price * (1 + takeProfitPct/100):
    SELL → track_high = close
ELSE:
  track_high = max(track_high, close)
  IF close <= track_high * (1 - reEntryDropPct/100):
    BUY at close — reset track_high = 0

// End of period
IF still in position → mark last value as OPEN (unrealized)

Strengths & Weaknesses

+Strengths

  • ●Locks in profits systematically — doesn't give back all gains in a bear move
  • ●Compounds returns across multiple uptrend legs
  • ●No indicators required — pure price-level logic
  • ●Works on all asset classes and timeframes
  • ●Simple and transparent — no black-box signals

−Weaknesses

  • ●Misses continued upside after a take-profit if the asset keeps running without a pullback
  • ●In sideways markets, no take-profit may ever trigger — strategy stays perpetually long
  • ●Re-entry drop may be too deep in fast-recovering markets (V-shaped recoveries)
  • ●Performance heavily depends on parameter calibration to market volatility

Frequently Asked Questions

What does 'open position at end of period' mean?+

If the strategy is still holding the asset when the backtest period ends (because the take-profit was never triggered again after the last re-entry), the position is valued at the last available close. This unrealized gain or loss is included in the total return — but it's clearly marked as 'open' in the trade list. The CAGR and total return figures reflect this.

How does this differ from Buy & Hold?+

Buy & Hold never sells — it stays invested from day one to the last day, capturing everything including drawdowns. Take-Profit / Re-Entry periodically locks in gains at the take-profit level and re-enters after pullbacks. In strong trending markets, this can compound returns; in steady uptrends without corrections, it often underperforms B&H because it misses some upside between the exit and the re-entry.

What parameters work best?+

There's no universal answer — optimal parameters depend on asset volatility and trend structure. For high-volatility assets like Bitcoin on weekly timeframes, 50% take-profit and 30% re-entry drop (the defaults) align roughly with typical bull-market correction magnitudes. For less volatile assets like large-cap stocks or ETFs, smaller values (e.g., 20% take-profit, 15% re-entry) typically make more sense. Always backtest across different periods.

Related Strategies

Buy & Hold

The benchmark for everything else — buy on day one, hold forever. The reference every strategy is measured against.

—

DCA (Dollar-Cost Averaging)

Buy a fixed amount on a fixed schedule — week after week, regardless of price. Smooths volatility, removes timing decisions.

—

Golden Cross

The classic trend-following signal — when the 50-day SMA crosses above the 200-day SMA, the trend has flipped bullish.

SMA

Don't want to backtest yourself?

Check out our Strategy Insights Reports — pre-baked deep-dives with historical results, comparisons, and market context.

📊 View Reports →

Ready to backtest?

Open the Arena →