Verified Performance Data

Crypto Trading Bot Results —
Every Number, Explained

Most crypto bot services hide their methodology, cherry-pick timeframes, or publish screenshots with no source. Here is the complete performance data for the v33 bots — methodology included, nothing hidden.

+4,909%
BTC · 6yr · Bybit real data
+3,212%
ETH · 5.5yr · Bybit real data
+3,779%
SOL · 5.5yr · Bybit real data

The Short Answer: Most Bots Don't Work. These Do.

The honest answer to "do crypto trading bots work?" is: it depends entirely on the strategy. A bot is just an automation layer — it executes whatever rules it's given. If the rules have no edge, the bot automates losses. If the rules have a genuine statistical edge, the bot executes that edge consistently, without the emotional interference that destroys most traders.

The v33 strategies have a documented, verifiable edge across three assets over multi-year periods that include bear markets. That last point is critical — any strategy looks good in a bull market. The real test is what happens when the market drops 70–80%. For a deep dive into how the BTC strategy generated these returns, see how Bitcoin algo trading actually works.

The Full Performance Table — All Three Bots

Metric₿ BTC BotΞ ETH BotSOL Bot
Total return (bot)+4,909%+3,212%+3,779%
Buy & hold same period+700%+240%+80%
Outperformance+4,209%+2,972%+3,699%
Max drawdown (bot)−32%−43%−29%
Max drawdown (buy & hold)−77%−82%−97%
Win rate21.9%25%25%
Profit factor2.812.972.24
ExchangeBybit BTCUSDT PerpBybit ETHUSDT PerpBybit SOLUSDT Perp
Timeframe6-hour bars7-hour bars5-hour bars
Backtest periodMar 2020 – May 2026Oct 2020 – May 2026Jun 2021 – May 2026

What Each Metric Actually Means

Profit Factor
2.24 – 2.97

Total winning dollars divided by total losing dollars. A profit factor of 2.81 means every $1 lost generated $2.81 in wins. Anything above 1.5 is a strong systematic edge.

Max Drawdown
−29% to −43%

The largest peak-to-trough decline during the backtest. Compare to buy-and-hold drawdowns of −77% to −97% for the same assets over the same period.

Win Rate
~22–25%

Percentage of individual trades that were profitable. Low win rates are normal and expected for trend-following strategies — a few large wins, many small losses.

Backtest Period
5–6 Years

All tests run on Bybit's real perpetual contract history via TradingView's strategy tester. The window includes at least one full bear market and one full bull cycle per asset.

On the SOL drawdown: Despite Solana being the most volatile asset of the three, the SOL Bot has the lowest max drawdown at 29%. Buy-and-hold SOL dropped 97% in the 2022 FTX collapse. The bot was short through most of that move, which is why the gap between bot and buy-and-hold returns on SOL is the most dramatic of the three.

How the Backtest Is Conducted

All backtesting runs in TradingView's Pine Script strategy tester against Bybit's USDT perpetual contract historical data. The methodology includes realistic commission rates (Bybit taker fees), no look-ahead bias (the strategy only uses data available at the time of each signal), and runs on the live contract rather than spot data to match actual trading conditions.

The strategy scripts are published publicly on TradingView — you can view the chart and verify the results yourself before committing to anything. The numbers are not simulated or forward-projected. They are the output of the strategy tester running the actual code against the actual data. Wondering how these bots compare to Bybit's native grid bots? See the Bybit bot comparison guide.

What the Results Don't Guarantee

Past performance doesn't guarantee future results — that disclaimer is legally required and genuinely true. A backtest shows what a strategy would have done with historical data. Future markets may behave differently. The v33 strategy is designed to be robust across market regimes (it has performed in both bull and bear markets), but no strategy wins indefinitely.

The goal isn't certainty — it's positive expected value over a large sample of trades. With a profit factor of 2.81 across 6 years and hundreds of trades, the edge has been demonstrated across a statistically meaningful sample that includes the worst market conditions crypto has seen. The automated trading vs buy and hold page puts the performance gap in direct visual context.

Frequently Asked Questions

Do crypto trading bots actually work? +

Some do, most don't. The difference is the strategy underneath the bot. A bot with no edge produces no returns — it just automates losses. A bot running a systematic trend-following strategy with a positive expectancy edge can outperform buy-and-hold significantly. The v33 bots have profit factors of 2.24–2.97 across BTC, ETH and SOL, verified on Bybit's real historical data spanning 5–6 years.
Are crypto trading bot results reliable? +

Only if the backtest methodology is sound. Key requirements: the test must use the exchange's actual price data (not synthetic feeds), include fees and slippage, cover a complete market cycle including a bear market, and avoid parameter overfitting. The v33 backtests run on Bybit's real USDT perpetual history in TradingView's strategy tester — all conditions met.
What is a good profit factor for a crypto bot? +

A profit factor above 1.5 is considered a strong systematic edge. Above 2.0 is excellent. The v33 BTC Bot has a profit factor of 2.81, ETH Bot 2.97, and SOL Bot 2.24 — all significantly above the threshold for a genuine statistical edge over hundreds of trades across 5–6 years.

Verify the Numbers Yourself

All three strategy scripts are published publicly on TradingView — you can run the exact same backtest and check every number before you buy anything. Step-by-step guide at the link below.

How to Verify on TradingView → ₿ BTC Bot Full Data ROI Calculator