Bender

Reinforcement-learning futures bot; pairs are picked dynamically by the quant-research platform. Gen 4: training is fully separated from live execution, and a new model version deploys only after passing several independent statistical tests on unseen data; every trade carries a predefined take-profit and stop-loss from entry.

Active Bender RL Core v4 Bybit 15m 3x
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Start from $200 | Support: Soodo Telegram

Best fit profile

  • You prefer disciplined execution over emotional entries.
  • You follow risk rules and position sizing consistently.
  • The 15m trading rhythm matches your style.
  • Not suitable if you expect instant guaranteed returns.
  • Use caution if you cannot tolerate temporary drawdowns.
  • If you are new, start with minimum capital and short plans.

Bender subscription plans

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Weekly

$4 per term

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Monthly

$12 per term

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Quarterly

$32 per term

Full access to Bender signals and account dashboard.

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7-day performance snapshot

Based on the entry and stop-loss/take-profit published on Telegram — not the bot's own exit.

Technical profile and market coverage

Bender uses Bybit on 15m timeframe. Sample capital: $1000. Recommended minimum: $200.

Technical notes

Gen 4 is a full redesign: the trading policy is trained offline with reinforcement learning and only EXECUTED live — no learning happens at trade time. Model inputs combine multi-timeframe trend/momentum/volatility structure with validated quant-research signals (per-asset realized-performance memory, event risk, order-book depth, funding). Leverage selection is part of the model's own action, and execution runs inside a structural risk box: hard brackets, a daily trade cap, and an automatic halt after a losing day. Every model version must clear several independent statistical tests (walk-forward validation on unseen data and strict overfitting checks) and beat the incumbent before deployment; versions are controlled and traceable.

Covered pairs (4)
SOL/USDTAVAX/USDTBTC/USDTBNB/USDT

Full bot details

Bender is designed to be predictable: at most 5 trades a day, each with a predefined margin-based take-profit/stop-loss plus a profit-locking mechanism, and leverage the model itself picks between 3x and 10x based on its confidence — scaled down by an external risk layer in risky conditions. After a bad day the bot stops taking new entries for 24h. The model retrains nightly, but a new version replaces the running one only if it is profitable on out-of-sample tests AND beats the incumbent; performance is also reviewed weekly under a fixed engineering framework.

Reinforcement-learning futures bot; pairs are picked dynamically by the quant-research platform. Gen 4: training is fully separated from live execution, and a new model version deploys only after passing several independent statistical tests on unseen data; every trade carries a predefined take-profit and stop-loss from entry.

Supported leverage range: 2x to 8x.

The model warm-up uses 1000 initial candles.

Features

Generation-3 reinforcement-learning engine with continual training on fresh market data.Release gate: a new version goes live only by outperforming the current one on unseen data.Structural risk box: margin-based take-profit and stop-loss, identical in training and live.Steady cadence of 1-5 trades per day with two-sided (long/short) coverage.Adaptive 2-8x leverage matched to market conditions.Limited scale-in (DCA) entries, only with renewed model confirmation.

Glossary

  • Risk Box — Every trade opens with a defined margin-based take-profit and stop-loss; no position is ever left without a loss cap.
  • Release Gate — A standardized test on unseen data that every new model version must pass before replacing the live one.
  • Continual Learning — Regular model updates from fresh market data without discarding accumulated experience.
  • Adaptive Leverage — Automatic 2-8x leverage selection based on trend, volatility and move quality.
  • Confirmed Scale-In — A limited addition to a position in controlled drawdown, only when the model re-confirms the same direction.

Version changelog

  • 1.3.2 2025-08-20 — Improved risk handling in high-volatility conditions.
  • 1.4.0 2025-12-02 — Optimized for current market dynamics.
  • 3.0.0 2026-06-13 — Generation-3 full redesign: unified, lighter decision engine, structural risk box (identical TP/SL in training and live), out-of-sample release gate, steady multi-trade daily cadence and model-confirmed scale-in.

Start in 3 steps

1

Choose the plan that fits your budget.

2

Complete payment and activate subscription.

3

Track live signals from your Signals page.

  • Last update: 2026-06-13 | Version: 3.0.0
  • Support: Soodo Telegram
  • Soodo provides signals only; trade execution and risk management remain your responsibility.
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