TradeBot

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Quick Status

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EMA

Volume

Forecast

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Open Positions

Symbol	Side	Units	Entry	Stop Loss	Take Profit	Trailing	P&L
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Front-Month Contracts

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Instrument Specifications

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Position Sizing Calculator

Futures Symbol

ATR Value

Equity Override 0 = use account equity

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Models Trained

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Symbols Active

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Total Predictions

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Avg Accuracy

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Avg Profit Factor

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Models Valid

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Avg F1 Score

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Top Performer

Live Performance Dashboard

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Model Validation & Health

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Narrative Summary

Awaiting forecast data.

Trading Configuration

Broker Mode

Instruments

Signal Timeframe

Trend Timeframe

Data & Lookback

Adjust for scalping (lower) or swing trading (higher)

Candle Count Candles for signal analysis (Scalping: 100-200, Swing: 300-500)

AI Training Lookback Historical candles for AI training (Scalping: 500-1000, Swing: 1500-3000)

Risk Management

Account Equity

Risk per Trade (%)

Max Positions

Daily Loss Limit (%)

Max Drawdown (%) Maximum allowed drawdown before kill switch triggers

Max Units Cap Maximum position size cap (0 = no cap)

Min ATR Threshold Minimum ATR to allow trades (0 = disabled)

Kill Switch

Stop trading if drawdown exceeds max

Exit Parameters

SL ATR Multiplier Stop loss distance (ATR x multiplier)

TP R Multiplier Take profit as multiple of SL distance

Trail ATR Multiplier Trailing stop distance (ATR x multiplier)

Partial Exit

Partial Exit Ratio Portion to exit early (0.5 = 50%)

Partial TP Multiplier Early TP as multiple of SL distance

Position Sizing

Percent-Based Sizing

Use % of equity instead of fixed units

Position Size (%) Percent of equity per trade (0.10 - 0.20)

Default Units Fixed units (when % sizing disabled)

Volatility Sizing

Adjust position size based on volatility

Volatility Lookback

Volatility Scale Factor

Size Bounds

Min Size Factor

Max Size Factor

AI Configuration

AI Filter

Use AI probability to filter entries

Enhanced AI Model

Use Optuna optimization, calibration, regime detection

Require AI Prediction

Block trades on symbols with no trained AI model

AI Prediction Logging

Log AI predictions to file for analysis (A/B test mode)

Prophet Forecasting

Use Facebook Prophet for price forecasting

Prefer Prophet

Prioritize Prophet over sklearn models

AI Threshold

Retrain Interval (hours)

Auto Thresholding

Use validation folds to set AI thresholds

Threshold Optimization Choose how validation selects thresholds

Training Window (rows) Sliding window size for training (0 = full lookback)

Min Model Accuracy

Confidence Threshold Higher = fewer but higher-quality signals (0 = disabled)

Enhanced AI Settings

Advanced AI validation and signal filtering

Model Validation

Max Model Age (hours) Models older than this are considered stale (168 = 1 week)

Drift Threshold Z-score for drift detection (higher = less sensitive)

Min Live Performance Minimum live accuracy before warning

Enforce Min Accuracy

Reject models below minimum accuracy

Drift Method Choose how drift is detected

Drift Window (rows) Recent samples used for drift checks

PSI Buckets Only used when drift method is PSI

AI Calibration

Calibrate probabilities for AI classifier

Calibration Method

Forecast Calibration

Calibrate forecast classifier probabilities

Forecast Calibration Method

Feature Selection

Auto Feature Selection

Automatically select best features (reduces overfitting)

Max Features Maximum features to select (0 = use all)

Selection Method Choose how features are ranked when auto-selection is enabled

Signal Filtering

Signal Strength Threshold Minimum signal strength (0 = disabled)

Min Expected Magnitude (%) Minimum expected price move (0 = disabled)

Consensus Filter

Require multi-timeframe agreement

Min TF Alignment Minimum timeframe alignment score (0-1)

Deep Learning Models

LSTM/Transformer model configuration

Deep Models Enabled

Include LSTM/Transformer models during training

Extended Features

Use extended feature set for AI training

Sequence Length Input sequence length for LSTM/Transformer

Hidden Size Hidden layer size for deep models

Epochs Training epochs for deep models

Learning Rate Optimizer learning rate

AI Validation & Staleness

Model retraining, sample weighting, and stale model handling

Sample Weighting

Weight recent samples higher during training

Weight Decay Higher = more weight on recent samples

Auto-Retrain on Stale

Automatically retrain stale models

Retrain Cooldown (min) Minimum wait between retrain attempts

Block on Stale

Block trades when model is stale

Min Validation Samples Minimum samples needed for validation

Drift Sample Size Sample size for drift detection

Scale-Down Factor Position scale-down on validation warning

Shadow Training & Promotion

Shadow model training and automatic model promotion

Shadow Training

Train shadow models alongside primary

Promotion Policy How shadow models are promoted to primary

Min Predictions Min predictions before promotion eligible

Min Accuracy Delta Shadow must beat primary by this amount

Min Shadow Accuracy Minimum shadow accuracy for promotion

Market Data Quality

Gap tolerance and degraded data handling

Gap Tolerance (candles) Max consecutive missing candles to tolerate

Gap Ratio Tolerance Max missing-candle ratio allowed

Delta Tolerance Ratio Max ratio for degraded data acceptance

Allow Degraded on Gap

Use degraded data when gap detected

Last-Resort Degraded

Accept degraded data as last resort

Scheduler

Automatic AI training and forecast intervals

AI Train Interval (min) How often to auto-retrain AI models (1440 = daily)

Forecast Train Interval (min) How often to auto-train forecast models

Reconciliation & Risk Limits

Position sync, circuit breakers, and portfolio exposure

Auto-Fix Mismatches

Auto-reconcile position mismatches with broker

Reconcile Interval (sec) How often to check positions vs broker

Max Portfolio Exposure Maximum total exposure as multiple of equity

Sync Fail Circuit Breaker Consecutive sync failures before halting

Strategy Selection

Selection Mode

Consensus Threshold Strategies that must agree (consensus mode only)

Session Filter

Only trade during active sessions

News Filter

Skip signals around major news events

News Avoid Before (mins) Minutes before news to stop trading

News Avoid After (mins) Minutes after news to resume trading

Active Sessions Comma-separated: london, newyork, tokyo, sydney

Session Times (UTC - 24-hour format)

London Start

London End

New York Start

New York End

Tokyo Start

Tokyo End

Sydney Start

Sydney End

Enhanced Trading Filters

Multi-timeframe confluence, S/R detection, signal scoring

Multi-Timeframe Confluence

Confluence Filter

Analyze H4, H1, M15 for signal alignment

Min Confluence Score Minimum score to allow trade (0-100)

H4 Weight

H1 Weight

M15 Weight Weights should sum to 100

Support/Resistance Detection

S/R Filter

Prevent trades near S/R levels

Lookback Periods Periods for swing high/low detection

Min Touches Touches to confirm level

Min Room (ATR) Min distance to S/R in ATR units

Signal Quality Scoring

Signal Scoring

Score signals on multiple factors

Min Signal Score Minimum score to allow trade (0-100)

Session Quality

Min Session Quality Minimum quality score (0-1)

Require Overlap

Only trade during session overlaps

Set up authentication

API Key

Basic Auth Username

Basic Auth Password

Capital.com Account

DEMO Not connected

Enter your Capital.com credentials to trade. Each user has their own separate account. The bot will automatically switch to the correct server (demo or live) based on your selection.

API Key Get your API key from Capital.com platform settings

Account Email / Identifier

Password

Account Mode

Base URL (optional) Leave empty for auto-detection (demo/live)

NinjaTrader Gateway

SIM Not connected

NinjaTrader connects locally via the ATI Gateway — no credentials required. Click Auto Connect to connect with defaults (localhost:36973, Simulation).

Not connected

Advanced: Gateway Settings

Gateway Host NinjaTrader Gateway host address

ATI Port Default NinjaTrader ATI port (36973)

Account Name NinjaTrader account name (leave blank for auto-detect)

Trading Mode

Available Futures Instruments

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Account

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TradeBot

Dashboard

Broker Connection

Quick Status

Market Chart

Trading Strategies

Positions & Trades

Open Positions

Futures Instruments

Front-Month Contracts

Instrument Specifications

Position Sizing Calculator

AI Models

Live Performance Dashboard

Model Validation & Health

AI Forecasts

Narrative Summary

Settings

Trading Configuration

Data & Lookback

Risk Management

Exit Parameters

Position Sizing

AI Configuration

Enhanced AI Settings

Deep Learning Models

AI Validation & Staleness

Shadow Training & Promotion

Market Data Quality

Scheduler

Reconciliation & Risk Limits

Strategy Selection

Session Filter

Enhanced Trading Filters

Set up authentication

Capital.com Account

NinjaTrader Gateway

Account

Events Log

TradeBot

Dashboard

Broker Connection

Quick Status

Market Chart

Trading Strategies

Positions & Trades

Open Positions

Futures Instruments

Front-Month Contracts

Instrument Specifications

Position Sizing Calculator

AI Models

Live Performance Dashboard

Model Validation & Health

AI Forecasts

Narrative Summary

Settings

Trading Configuration

Data & Lookback

Risk Management

Exit Parameters

Position Sizing

AI Configuration

Enhanced AI Settings

Deep Learning Models

AI Validation & Staleness

Shadow Training & Promotion

Market Data Quality

Scheduler

Reconciliation & Risk Limits

Strategy Selection

Session Filter

Enhanced Trading Filters

Set up authentication

Capital.com Account

NinjaTrader Gateway

Account

Events Log

Authentication Required