Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
73–84 of 89 posts · page 7 of 8
Why TradingView Alone Isn't Enough
TradingView is excellent for charting and visual analysis — but for the question whether a strategy systematically works across assets, it isn't built. Why fast, comparable backtesting requires a different class of tool.
Smoothed Heikin Ashi — Heikin-Ashi With Two Smoothing Layers
Heiken-Ashi candles have been a popular noise filter from Japan for decades. Smoothed Heiken Ashi takes it one step further and smooths the OHLC data twice — before and after the HA calculation. Live today as the latest strategy in the Backtesting Arena.
When Bitcoin Volatility Becomes Tradable, Your ATR Setup Changes Too
On June 1, CME launches Bitcoin volatility futures. This doesn't move Bitcoin directly — but over years, it changes how volatile Bitcoin actually behaves. What does that mean for the ATR multipliers we use to calibrate trailing stops and filters? And how do retail traders use ATR to systematically build market maturity into their own backtests?
The Tokenization Wave — Why $100 Trillion in Assets Could Move On-Chain
Stablecoins, funds, commodities, equities — four asset classes worth over $400 trillion combined are gradually moving on-chain. What today's penetration actually says, where the biggest leverage sits — and why "use case of blockchain" no longer means "speculation".
Why You Don't Need a Signal Service If You Can Backtest Yourself
The trading-tools market splits into two philosophies. They look similar from a distance, but they're fundamentally different things.
7,000 Backtests In — What the Arena Has Learned So Far
7,299 runs across 601 assets and every strategy. The most surprising pattern: it's not which strategy you pick that decides the outcome — it's the timeframe you run it on. Plus: two newcomers push to the top — and a side glance at paid indicator communities.
The Bitcoin 4-Year Cycle Isn't a Law. It's a Superstition — and That's Exactly What Makes It Exploitable.
Every time Bitcoin corrects, the same reflex kicks in: "Relax, it's just the cycle." But where is this cycle written down? In which whitepaper, in which law of nature? Spoiler: nowhere. The 4-year cycle is pattern recognition built on three data points — and a self-fulfilling prophecy that makes exactly those traders exploitable who believe in it most. A critical dissection.
Keltner Channel Breakout — Bollinger's Older Brother
Everyone knows Bollinger Bands. Keltner Channels have been around longer and use ATR instead of standard deviation — which often makes them better suited for trend following. Live today as strategy 10 in the Backtesting Arena.
The Bitcoin Filter That Flips 88 % of Top-50 Alts into the Green
34 of 50 top-50 alts have lost money on average across every entry point — measured in USD. One strategy flips that. It doesn't look at the alt. It looks at BTC.
When a Crypto Strategy fails completely on US Stocks
An honest story from our bulk backtests.
When You Measure Alts in BTC, Bear is the Baseline
We tested our RSI/SMA strategy on 77 actively trading Binance BTC-pairs (XAUT and WBTC excluded). 92% of them lost against BTC over 8 years. The strategy still beats Buy & Hold on 88% of pairs — through getting out, not through outperformance.
When Do Grid Trading Bots Actually Work? Two Real BTC Backtests from 2024 and 2025/2026
Grid bots promise profit from sideways markets — but without the right range they fail. We show with two real BTC backtests (2024 and 2025) when grid wins, and when buy-and-hold dominates.
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