BTTCUSDT FullBullMarket 2024 backtest - a marginal +0.00% result

CompletedBeats BTTCUSDT B&H· α +49.61%

FullBullMarket7/22/2026, 2:11:17 PM

Beats buy-and-hold BTTCUSDT by +49.61% over the tested window. Configured entry: 0% pullback trigger sizing 100 USDT per buy on BTTCUSDT.

BTTCUSDT | 1FullBullMarket.json | 2024-04-24 - 2025-04-24 | +0.00%

Final Value
10000.00 USDT
Return
+0.00%
Realised Profit
+0.00 USDT
Trades
0
Win Rate (closed)
-
Open Positions
6
Best Trade
Worst Trade
Max Drawdown
0.00%
Profit Factor
-
Sharpe
-
Wins / Losses
0 / 0
TP / SL / TSL
0 / 0 / 0
Total Fees
-
Max Streak W/L
0 / 0
Hold P50 / P95
- / -

BTTCUSDT Backtest - unCoded Crypto TradingBot

Strategy: FullBullMarket | Period: 2024-04-24 to 2025-04-24 | Starting Capital: 10,000.00 USDT | Final portfolio value (incl. open positions): 10,000.00 USDT | Return: +0.00% | Closed trades: 0 (6 positions still open - excluded from win rate) | Closed-trade win rate: N/A | Best Trade: N/A USDT | Worst Trade: N/A USDT | Realized profit (closed trades only): +0.00 USDT | Max Drawdown: 0.00%

Detailed Summary

Backtest BTTCUSDT (Mode: 1FullBullMarket.json) Period: 2024-04-24 00:00:01 to 2025-04-24 23:59:59 Starting balance: 10,000.00 USDT Final value: 10,000.00 USDT P&L: +0.00 USDT (+0.00%) Result: PROFIT Completed trades: 0 Open orders at end: 6 Strategy parameters: Buy trigger: -0.0% from last buy Buy splits: 6 Sell targets: [0.25, 2.5, 5.0, 10.0, 20.0, 30.0] Investment per buy: 100.0 USDT Fees: maker 7.5 bps / taker 7.5 bps Elapsed: 539460.4s

Strategy Configuration - FullBullMarket
Buy Trigger: -0%
Buy Splits: 6
Investment/Buy: 100 USDT
Start Balance: 10,000.00 USDT
Percent Mode: No
Free Quote %: 1.00%
Min Investment/Quote: 20 USDT
Min Quote Balance: 1 USDT
Can Buy: Yes
Can Buy Up: Yes
Can Buy Down: No
Can Sell: Yes
Stop Loss: No
Maker Fee: 7.5 bps
Taker Fee: 7.5 bps
Assumed Spread: 0 bps
Fees in Quote: Yes
Tick Size: 1e-8
Step Size: 1
Min Notional: 5
Intrabar Mode: OLHC
Order Latency: 2s
Cooldown: 1
Sell Activate Dist: 0.1%
Sell Cancel Dist: 1%
Sell Zones (6):
+0.25% → 20%+2.5% → 20%+5% → 20%+10% → 30%+20% → 5%+30% → 5%

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Daily summary · 366-day aggregate for BTTCUSDT

Loading daily summary...

Findings unique to this BTTCUSDT run · 0 trades · 366d

Findings derived from this run's own numbers - not shared boilerplate.

  • Beats buy-and-hold BTTCUSDT by +49.61% over the tested window

    BTTCUSDT returned -49.61% in the same period; the FullBullMarket configuration added 49.61% on top. Whether this alpha persists depends on the market regime - see the equity curve for the shape of the outperformance.

  • Engine evaluated at least ~527,040 one-minute-equivalent BTTCUSDT candles

    366 calendar days x 1,440 minutes per day = ~527,040 OHLCV bars replayed sequentially against the FullBullMarket rule set (pairs with 1-second base data process up to 60x more) to produce the 0 closed trades on this page. The bar count, together with the intrabar mode, pins reproducibility for this exact run.

  • Sell ladder spans 0.25% to 30% in 6 zones (~5.950% step)

    The exit staircase spreads profit-taking across a 29.750% band above entry, with each rung 5.950% apart on average. That specific ladder geometry - combined with the BTTCUSDT realised volatility over 366 days - determined how many rungs actually filled and shaped the 0-trade sample on this page.

  • One buy ladder tops out at 100.00 USDT, 1.00% of the 10000 USDT starting capital

    That budget is split across 6 rungs by the configured buy volumes, so each rung takes a percentage of the 100.00 USDT rather than adding to it. It also does NOT cap what the account can hold: the grid opens a new ladder on every trigger and leaves earlier ones running, which is why 6 positions were still open when the window ended. Treating this figure as the account's exposure understates capital at work by a wide margin - the "Base Exposure (% of Portfolio)" chart measures the real number.

  • Run snapshot: +0.00% on BTTCUSDT via FullBullMarket between 2024-04-24 and 2025-04-24

    Realized 0.00 USDT across 0 closed trades, 6 still-open positions. Starting balance 10000.00 USDT ended at 10000.00 USDT portfolio value. These numbers belong to this run (id dcfd3cbd) only - no other backtest in the library shares this exact combination.

  • Configuration fingerprint: buy trigger 0% · 6 buy splits · 100 USDT per buy

    Full parameter set for this run - buy trigger 0%, 6 buy splits, 100 USDT per buy, 6 sell zones, 15 bps total fees - combined with the BTTCUSDT price path over 366 days produces the exact result on this page. Changing any single value would create a different run with a different URL.

  • Engine settings: 1s-1m BTTCUSDT candles · intrabar "OLHC" · 2s order latency

    366 days of Binance Spot OHLCV (1-second to 1-minute base resolution, depending on the pair) was replayed against the FullBullMarket rule set. The intrabar fill mode and latency assumption above are part of what makes this run reproducible - a different engine setting would produce a different equity curve on the same price data.

Performance Analysis

This run produced a 0.00% return on BTTCUSDT — a small positive result. Outcomes in this range are within the noise band of typical backtest variance and should not be over-interpreted as evidence of edge.

About BTTCUSDT: BTTCUSDT is a stablecoin-quoted spot pair on Binance. Quote-side liquidity is deep, so slippage assumptions in this backtest map reasonably well to live execution at retail size.

About the FullBullMarket strategy: FullBullMarket is tuned for sustained uptrends — it scales position size into rising markets and gives winners room to run. It tends to underperform in choppy or bear conditions.

Configuration analysis: The FullBullMarket configuration entered on a 0% pullback signal, spreading 100 USDT across 6 buy splits weighted by the configured buy volumes. That 100.00 USDT is the depth of a single buy ladder, not an account-level budget: 1.00% of the 10000 USDT starting balance. The grid opens a new ladder on every trigger and runs many of them at once, with 6 positions still open at the cutoff, so the capital actually tied up at any moment is a multiple of it. Read real utilisation off the "Base Exposure (% of Portfolio)" chart on this page, never off this number. No hard stop-loss is configured — the strategy relies on take-profit zones and trailing logic instead, which trades smoother behaviour for higher tail-risk in sustained downtrends. Profit is taken in 6 laddered sell zones, which scales out gradually rather than betting on a single exit price — a structure that smooths returns at the cost of capping the very best winners. A 7.5 bps maker and 7.5 bps taker fee were charged on the corresponding fills, so a completed round trip carries about 15 bps and the headline 0.00% is already net of trading costs. No additional fee adjustment is required when comparing to other runs.

Over the configured 366-day window the strategy reported 0.00 USDT of realised trade profit on a 10000 USDT starting balance, ending at a portfolio value of 10000.00 USDT. Mechanically annualising the 0.00% window return projects to roughly +0.0% per year — the window covers roughly one full year, so the annualised figure is closer to the realised pace than to an extrapolation, but a single year still represents a single market regime. Treat this number as a unit-conversion of the window result, not as an expected forward return.

Methodology & data

This backtest was executed on historical Binance Spot candles for BTTCUSDT at a base resolution between 1 second and 1 minute (1-second for liquid pairs, 1-minute where finer data is unavailable), with intrabar fill simulation in "OLHC" mode and a synthetic order latency of 2s applied to each fill to approximate real-world routing delay. The simulator processes each base candle sequentially, evaluates the FullBullMarket rule set, and books fills against the next available bar, a standard event-driven backtesting approach that avoids look-ahead bias. Equity is marked-to-market on every closed trade and aggregated into the equity curve shown above.

In numerical terms the engine replayed at least ~527,040 one-minute-equivalent OHLCV bars end-to-end (pairs with 1-second base data process up to 60x more). That density is what pins reproducibility: rerunning the same FullBullMarket configuration on the same BTTCUSDT bar range with the same intrabar and latency settings will yield the same fills to the tick, which is why the run identifier dcfd3cbd deterministically anchors this URL.

Configured backtest window: approximately 12.0 months (366 days from `config.from` to `config.to`) of BTTCUSDT price action at 1-second to 1-minute resolution — a sample size that is large enough to span multiple short-term regimes. Note: the equity series may cover fewer days if the engine omits leading or trailing flat periods (e.g. dates before the asset began trading); see the Overview section for the exact equity-coverage span.

Live trading considerations

Translating this result to live trading: BTTCUSDT is a deeply-liquid USDT-quoted pair on Binance, so the simulated fills here translate well to live execution at retail size. Lower trade frequency keeps slippage drag minimal, so live results should track the backtest more closely than a high-frequency configuration would. Without a hard stop-loss, the live system depends on the take-profit ladder firing during recovery legs; a prolonged downtrend without recovery will hold positions open longer than backtest aggregates suggest. Additionally, exchange downtime, API rate limits, and funding-rate changes (on perp variants) are not modelled here and should be accounted for in production deployment.

Frequently asked questions

Is a 0.00% return on BTTCUSDT a good backtest result?
Yes. More importantly, it beat a simple buy-and-hold of BTTCUSDT (-49.61%) over the same window by +49.61% of alpha, which is the bar that actually matters for an automated strategy.
What is the annualised return for this BTTCUSDT backtest?
This backtest already covers about a full year (366 days), so the annualised figure is essentially the total return of 0.00% itself, not a projection. A single year is not predictive of future years.
Can I run this exact FullBullMarket configuration live?
The configuration shown in the Strategy Configuration block is the same JSON schema the live unCoded TradingBot consumes, so it can be loaded into a live instance. That is a technical compatibility statement, not a recommendation: a passing backtest is necessary but not sufficient evidence that a configuration will be profitable in live trading. Before any live use, validate on an out-of-sample window, paper-trade it, confirm exchange-side fees match the simulated 7.5/7.5 bps, and start with a position size well below the backtested capital to absorb live slippage and execution differences.
How is this backtest different from others on BTTCUSDT?
Every run on the platform uses the same intrabar-fill engine and historical Binance Spot data, so the comparison is apples-to-apples. What differs between runs is the FullBullMarket parameter set (buy trigger, sell zones, splits, stop-loss) and the time window — both are visible above so you can rerun, tune, or fork this configuration.
Why are 6 orders still shown as open?
The backtest ended at 2025-04-24 with 6 positions not yet closed. Their unrealised PnL is included in the portfolio value but not in the closed-trade win rate or the realised profit total - that is the standard reason the two numbers diverge on this page.
How much capital does the FullBullMarket configuration deploy per position cluster?
One buy ladder tops out at 100.00 USDT, which is 1.00% of the 10000 USDT starting balance. That budget is spread across 6 splits by the configured buy volumes: each split is a percentage of the budget, not another 100.00 USDT on top of it. It is also a per-ladder ceiling, not an account-level one: the grid keeps opening ladders while earlier ones stay open, and this run ended with 6 positions still open, so total capital at work is far higher than this figure. The capital-exposure chart on this page shows what was actually tied up over time.

This interpretation is generated deterministically from this run's own metrics. Past performance is not indicative of future results — a profitable backtest is necessary but not sufficient evidence that a strategy will work in live trading on BTTCUSDT.

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