Trading product for TSAI_AutoPortfolioBot cBot TP Manager Prop Firm Fit, image 1
cBot
Fusion Markets でテスト済み
バージョン 1.0、Jul 2026
Windows、Mac, Mobile, Web
1.48
プロフィットファクター
3.4%
最大ドローダウン
Trading product for TSAI_AutoPortfolioBot cBot TP Manager Prop Firm Fit, image 2
Trading product for TSAI_AutoPortfolioBot cBot TP Manager Prop Firm Fit, image 3
登録日 14/07/2026

説明

Welcome to the TraderSuiteAI Auto-Portfolio Bot 

Rather than running a single static strategy, this bot acts as a high-performance, institutional-grade execution engine that connects and runs entire customized portfolios of automated strategies constructed in TraderSuiteAI.


Strategy Type and Trading Approach 

This bot executes multi-strategy, quantitative portfolios. Utilizing the speed and quantitative horsepower of TraderSuiteAI, it allows traders to run highly performant, genetically optimized day-trading and swing-trading strategies simultaneously. The bot employs multi-timeframe (LTF, MTF, HTF) and natively computes advanced machine learning patterns, price action features, liquidity zones and technical indicators locally in C# to power your portfolio's logic.


Entry Logic and Execution Behavior 

Entry logic is completely dynamic and defined by the portfolio you build or select on the TraderSuiteAI web platform.

  • Evaluation: The bot recalculates your custom quantitative features exactly at the close of your target timeframes, ensuring absolute precision and immunity to tick-jitter.
  • Execution: Fast entry execution is handled on the raw tick level. Once entry conditions market orders are fired instantly and protective stop loss levels are ALWAYS actively in the market protecting against losses.
  • Concurrency: It seamlessly manages multiple strategies, symbols, and concurrent trade limits, adhering to strict cooldown timers to prevent over-exposure.


Risk and Capital Management Principles 

Risk management is handled dynamically per strategy within the portfolio. The bot automatically normalizes trade volumes to your specific broker's limits and lot steps. It supports:

  • Fixed Fractional Risk: Risking a precise percentage of current account equity based on a dynamic Stop Loss.
  • Fixed Amount: Risking a strict fiat amount per trade.
  • Fixed Lots: Standard static volume sizing.
  • Advanced Trade Management: Includes dynamic ATR-based Stop Losses/Take Profits, Trailing Stops, Breakeven triggers (with offset buffers), and strict Time-based session exits.
  • Maximum daily and overall portfolio draw down limits.


Key Trade Parameters 

Because the logic is cloud-managed, local parameters are kept exceptionally clean:

  • TSAI Username: Your TraderSuiteAI account username.
  • Portfolio API Key: The secure API key generated on the TSAI research webApp to decrypt and load your specific portfolio payload. (All individual strategy rules, risk allocations, portfolio weights, and indicator settings are configured on the TraderSuiteAI platform and securely streamed to the bot).


Who This Bot is Best Suited For 

It is best suited for:

  • Quantitative & Data-Driven Traders: Those who prefer statistical rigor and genetic optimization over manual chart reading.
  • Prop-Firm Traders & Fund Managers: Traders requiring strict risk control, diversification, and institutional-grade portfolio execution.
  • Account Size: Suitable for all account sizes above $5000 - though best utilized on well-capitalized accounts that can fully leverage multi-strategy diversification.


概要

取引プロフィール
取引スタイル
デイトレード
戦略の種類
トレンド
分析の種類
アルゴリズム
定量
取引頻度
最小推奨口座残高
$5000
1回の取引あたりのリスク
2%
チャート期間
3分
バックテストのレバレッジ
1:50
1日のドローダウン制限
5%
プロップファームの規則への適合
リスク管理
リスクモデル
固定ロット
固定リスク割合
ボラティリティベース
サポート対象の注文の種類
成行
最大数量(ロット)
20
サポート対象のリスク管理
損切り
利食い
トレーリングストップ
ブレイクイーブン
有効証拠金ストップロス
1日の制限
最大ドローダウン制限
セッションフィルター
スプレッドフィルター
ニュースフィルター

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ディスカッション

よくあるご質問

TP Manager
Prop Firm Fit
Key Levels
Trailing Stop
Break Even
Trailing Stop Manager
AI Trading
cTrader Storeで入手可能な取引ボット、インジケーター、プラグインなどの商品は、第三者の開発者が提供するものであり、情報と技術の取得のみを目的としてご利用いただけます。cTrader Storeはブローカーではなく、投資助言や個人的な推奨を行うことも、将来のパフォーマンスを保証することもありません。

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登録日 14/07/2026