01
Describe a strategy idea
Start with trader-style language: reversals, trend filters, momentum confirmation, risk rules, or volume context.
AI-assisted strategy research terminal
Build, test, and refine trading strategies with AI.
Combine deterministic backtesting, AI-assisted strategy design, multi-timeframe analysis, and POC/liquidity context in one research workspace. Educational research platform. No automated execution.
ExpectancyProfit factorMax drawdownTrade countOut-of-sample stabilityRisk/reward quality
BTCUSDT / 15M / Binance Spot
Research Workspace
BTCUSDT 15MO 107245.1H 108120.4L 106820.8C 107430.6 +0.42%Vol 8.91K
1D Bullish4H Mixed1H Weakening15M Entry
EMA 50 106921.4EMA 200 105384.8RSI 58.6MACD +0.142
Strategy Draft
Trend: EMA200 filter
Entry: RSI reclaim + MACD momentum
Risk: Swing low stop
Target: 2.5R
Backtest Metrics
Score 74
Profit factor 1.42
Max drawdown 8.6%
Trades 43
AI Commentary
Momentum is improving but higher-timeframe structure is mixed.
POC cluster may act as a reaction zone, not a guarantee.
Research workflow
From idea to tested strategy version.
TradeLensLab is built around iteration: structure the hypothesis, test it deterministically, inspect weaknesses, and refine the next version.
02
AI structures research rules
The assistant turns ambiguous ideas into editable rules, flags unsupported logic, and asks clarifying questions.
03
Run deterministic backtests
Execution stays deterministic. Historical tests use structured rules, candles, indicators, and explicit risk assumptions.
04
Compare versions and improve
Save strategies, duplicate variants, track backtest results, and compare score, drawdown, profit factor, and trade count.
05
Add market context
Review multi-timeframe trend state, POC reference zones, chart overlays, and AI research commentary before making decisions.
Platform modules
Research tools that stay honest about uncertainty.
AI interprets research context. Strategy execution and backtesting remain deterministic.
AI Strategy Builder
A guided research conversation that converts natural-language ideas into structured, editable, testable strategy rules.
Deterministic Backtesting
Run saved strategies against historical candles without letting AI invent results or execute arbitrary code.
Strategy Evolution Workspace
Save strategies, create versions, review backtest history, compare metrics, and activate validated research modes.
Multi-Timeframe AI Analysis
Analyze macro trend, structure, setup quality, and entry timing across fixed top-down timeframes.
MTF POC / Liquidity Context
Display approximate OHLCV high-volume reference zones for 1H, 4H, and 1D. Not true order-flow data.
AI Research Commentary
Gemini can explain deterministic context, conflicts, and risk. It does not calculate indicators or replace backtests.
Indicator & Chart Workspace
Manage visible overlays, indicator parameters, POC lines, MTF badges, and synchronized chart panes from one terminal UI.
Strategy Variant Testing
Investigate zero-trade or over-filtered strategies with testable variant suggestions instead of vague optimization claims.
Credibility by design
AI assists the research. It does not own the results.
The platform separates interpretation from execution. AI can clarify strategy ideas, explain market context, and suggest variants. Deterministic engines calculate indicators, generate testable conditions, run backtests, and score results.
Deterministic
Indicators, backtests, scoring, POC approximation
AI-Assisted
Strategy interpretation, commentary, clarification, critique
Research-Only
No broker connection, no auto-trading, no exchange credentials
Versioned
Saved strategies, variants, backtest history, comparison workflow