Performance / Historical results
FC BTC Adaptive Momentum 4H
BTCUSD · 4-hour resolution. Compare the result displayed on TradeLocker with our historical simulations, and understand the assumptions behind each.
TradeLocker marketplace display
Featured on TradeLocker
+29.57%
ROI displayed for FC BTC Adaptive Momentum 4H · BTCUSD · 4H · Jan 1–Sep 9, 2026.
This figure is shown in the supplied TradeLocker listing screenshot. We have not received its underlying Studio trade report or independently reconciled its calculation. It is not live trading performance.
Explore the botOur own historical simulation
Same period, different test method
+39.84%
$25,000 simulated start → $34,959.87; 63 closed trades; 6.67% max bar-close drawdown.
A Backtrader simulation using TradeLocker-sourced BTCUSD 4H price data. It assumes zero commission, spread and slippage and 30:1 leverage. The exact customer-deployed bot has not been matched to this simulation.
These are two different test methods. Do not treat the difference as proof that either platform understated results.
Both figures are historical backtests, not customer earnings or expected returns. The simulated model reported losses in the period after July 14, 2026. Real broker fees, spreads, slippage and execution can materially change results.
Historical simulation
Historical simulated equity · $25K baseline
Recorded equity from our $25,000 historical simulation, not an estimated line. View the complete run or each side of the July 2026 design cutoff. This is not a TradeLocker Studio export, live trading, or a forecast.
Baseline start
$25,000.00
Baseline finish
$34,959.87
Full-run return
+39.84%
Equity records
1,457
The test begins January 1; the chart begins January 9 after the indicator warm-up. Two breaks indicate missing price candles. Zero commission, spread and slippage; 30:1 assumed leverage. Only the $25,000 run has a recorded equity curve; other simulations have summary statistics. Detailed audit evidence is available on request.
Explore the simulated results
Choose a starting balance to see the results produced by our historical test. These are separate simulations, not projected returns for your broker.
- Simulated return
- +39.84%
- Ending balance
- $34,959.87
- Trades
- 63
- Win rate
- 63.49%
- Profit factor
- 2.68
- Max drawdown
- 6.67%
Only the $25,000 baseline has a recovered historical equity series. The other seven results have verified summary files, not individual plotted equity histories.
What happened after the strategy's design period?
The baseline earned +$12,155.66 before July 15, 2026, then lost −$2,195.79 from July 15 to September 9. A separate fresh-start simulation from July 15 to October 12 returned −4.05%. We show both gains and losses so you can evaluate the complete record.
Risks worth understanding
Automated trading can lose money. In source-code testing, stop orders may be delayed or absent during partial fills, changes and restarts, and internal loss thresholds may not protect against gaps or broker events. These protections have not been verified on a separate broker demo account. Review your account's rules and monitor open positions and orders; loss is possible even when a stop is intended.
Simulation methods, code-level test results and raw audit records are available for member review on request. We don't publicly disclose proprietary source-code identifiers.
Trading risk & account control
No automated strategy can eliminate trading risk or guarantee that protective orders will always work.
Invite-only activation
Request the bot on TradeLocker first; FC reviews your request and grants access through TradeLocker.
Separate stop and target orders
Source-code tests show stop and target orders may be sent after an entry fills. A protective order may be absent during partial fills, changes or restarts; do not assume continuous broker-side coverage.
Built-in loss thresholds
Internal loss settings do not replace your broker’s limits, cannot guarantee a loss cap and may reset after a restart.
Restart requires manual review
The bot needs a running TradeLocker desktop environment. After interruptions, verify existing positions and orders in your account before relying on automation.