Iron Peak Edge - AI-powered predictive analytics dashboard for investors on the go
Active system — running v4.2 model

Capital Optimized by Algorithms

Iron Peak Edge analyzes markets in real time and executes copy-trading strategies selected for historical performance, without requiring manual monitoring while on the move.

Predictive Engine

How the model generates an operational signal

The system does not make absolute predictions: it assigns a probability to each market scenario and combines it with risk management rules before executing an order.

  • ModelMulti-timeframe recurrent neural network, trained on tick-by-tick data.
  • Inputs42 market indicators, updated every 5 seconds per monitored asset.
  • OutputsInput/output signal with confidence level expressed as a percentage.
  • MitigationDynamic stop calculated on the recent historical volatility of the instrument.
Data Collection → Normalization → Model Inference → Risk Validation → Order Execution
68.4%Signal accuracy
4.2%Average drawdown
340msResponse time
Iron Peak Edge - diagram of the inference engine used to generate the operational signals
Automated Copy-Trading

Four-step integration

The connection occurs via the broker's API, without transferring funds to Iron Peak Edge and without subsequent manual intervention.

01 / CONNECTION

Connection of the broker account via API key with limited permissions to read and execute orders, without withdrawals.

02 / CONFIGURATION

Selection of the strategy and definition of the maximum risk parameters per position and per operating day.

03 / VALIDATION

Optional run in demo environment to observe model behavior before real activation.

04 / ACTIVATION

Automatic replication of operations on the linked account, with an execution log that can be consulted at any time.

MetaTrader 5 cTrader Custom REST API OAuth 2.0
180msAverage execution latency
12,000+Orders processed per day (aggregate network)
24/7Coverage of supported markets
Data Transparency

Historical backtesting of the model

The following values are derived from simulations on historical data and serve to document the behavior of the model, not to guarantee future results.

Backtest on 2021–2024 datasets, quarterly intervals
Period Simulated net return Maximum drawdown R/R ratio
2021 — Q3/Q4 +6.8% -5.1% 1 : 2.0
2022 — Full year +11.4% -8.3% 1 : 2.1
2023 — Complete year +9.2% -4.7% 1 : 2.4
2024 — Q1/Q2 +5.1% -3.9% 1 : 2,3
1 : 2,3
Average risk/return ratio, period analyzed
Dataset Source: tick-by-tick historical series provided by institutional liquidity providers, period 2019–2024, with daily updating of the validation set.

Historical and simulated results are not a guarantee of future returns. Actual market conditions may produce deviations from backtest data.

Operational Profiles

How the platform is used

Three recurring configurations among professionals who work remotely, with variable time zones and availability.

Diversification

Portfolio diversification

Simultaneous allocation across multiple strategies and asset classes, with exposure automatically rebalanced based on detected volatility.

Accumulation

Passive accumulation

Continuous execution of selected strategies without the need for daily supervision, compatible with non-aligned time zones.

Protection

Risk coverage

Automatic opening of hedging positions when volatility exceeds the thresholds set in the risk profile.

Methodology

Frequently asked technical questions

How is access to the trading account protected?

The connection takes place via an API key with limited permissions for reading and executing orders. Withdrawal permission is never requested or configured. Credentials are encrypted and are not shared with third parties.

Does the capital remain liquid and available?

The funds remain deposited in the account of the broker chosen by the user. Iron Peak Edge does not hold or transfer capital: the platform only sends operational instructions, which can be revoked by deactivating the API connection at any time.

How often is the model updated?

Parameter retraining occurs on a weekly basis, with a full structural review on a monthly basis. Each version of the model is numbered and traceable in the execution register.

Access to the Platform

Request activation of analytics

Enter an email address to receive access credentials to the analysis and configuration environment.

root@ironpeakedge:~$ request_access --channel=email
View technical documentation Monitored infrastructure uptime: 99.9% (last 12 months)