Auto Strategy Builder for NinjaTrader
Turn your favorite indicators into fully-tested, robust algo strategies in minutes — no coding, no composing, no guesswork. Powered by a real Genetic Algorithm with institutional-grade Walk-Forward & Monte Carlo validation.
Pick the indicators you trust. Click Generate. Watch a Genetic Algorithm evolve, validate, and stress-test thousands of strategies for you — then export the winners straight into NinjaTrader or Algo Studio Pro, ready to trade.
Tired of Staring at Charts Wondering "Could This Setup Actually Work?"
If you've traded for a while, you know the feeling:
The Frustration
- You've got a handful of indicators you trust
- You see patterns, confluence, and "almost perfect" setups every day
- You know there's a good strategy hidden in there…
- But turning ideas into real, rule-based, tested strategies is a massive time sink
The Reality
- Spend days or weeks coding, testing, debugging… and still aren't sure you did it right
- Or give up, trade by feel, and keep asking yourself whether your edge is real or just luck
…then export the winners straight into NinjaTrader or Algo Studio Pro, ready to trade and refine?
That's exactly what Auto Strategy Builder does.
Meet Auto Strategy Builder
Your "Idea-to-Strategy" Machine for NinjaTrader
Auto Strategy Builder is a plug-and-play strategy generator for NinjaTrader that builds, tests, validates, and ranks trading strategies for you — powered by a real Genetic Algorithm engine with institutional-grade robustness testing.
You choose the tools. It does the heavy lifting.
Works With All NinjaTrader Indicators
Built-in NinjaTrader indicators, your favorite custom indicators, and 3rd party tools (as long as they follow common NinjaTrader standards and don't back/re-paint).
No Coding. No Scripting. No Logic Blocks.
You don't write a single line of code. You don't fiddle with complex node graphs or composition editors. Just pick indicators and click Generate.
Genetic Algorithm Evolves Thousands of Strategies
Testing them against in-sample AND out-of-sample data automatically. The same class of optimization used by hedge funds and quant firms.
Walk-Forward + Monte Carlo Validation
Every strategy is validated across multiple rolling time windows and stress-tested with randomized trade sequences and slippage scenarios.
Smart Leaderboard
With uniqueness filtering — no duplicate strategies clogging your results. 18+ sortable columns with customizable views.
Export Winners Instantly
Directly to NinjaScript (.cs), .algo files for Algo Studio Pro, or save as JSON for later reloading and validation on new data.
1 Tell It What You Want to Trade
Instead of forcing you into some pre-canned black box, Auto Strategy Builder starts with your edge. You decide:
Which Indicators to Use
- Built-in NinjaTrader indicators (EMA, RSI, MACD, Bollinger Bands, etc.)
- Your favorite custom indicators
- 3rd party tools (following NinjaTrader standards, no back/re-painting)
Which Plots to Include
- Auto-detects all available plots from each indicator
- Enable or disable specific plots (e.g., use only Aroon.Up or both)
- Or enable all plots and let the engine explore every combination
Which Parameters to Optimize
- Every numeric parameter is automatically discovered
- Set min, max, and step values (e.g., EMA Period: 10 to 200, step 5)
- Enable or disable specific parameters — optimize only what matters
- The GA intelligently searches through all combinations
Use Indicators in Entry, Exit, or Both
- Each indicator can be configured for entry rules, exit rules, or both
- Auto-detects overlay vs oscillator indicators and adjusts comparisons accordingly
Save & Load Indicator Configurations
Spent time setting up the perfect indicator mix? Save it. Your indicator selections — including all parameter ranges, enabled plots, and settings — can be saved to disk and loaded later.
Different Markets
Build different indicator sets for different markets (e.g., "Scalping MNQ" vs "Swing ES")
Share Across Sessions
Share configurations across sessions without re-configuring everything
Iterate Over Time
Build on what worked before, refining your indicator mix over time
2 Configure the Genetic Algorithm Engine
The Brain Behind the Strategy Generation
Under the hood, Auto Strategy Builder uses a real Genetic Algorithm (GA) — the same class of optimization technology used by hedge funds and quantitative research firms. This isn't random trial-and-error. It's intelligent, evolutionary search.
How It Works
The GA treats each strategy as a "chromosome" — a collection of genes that encode the entry rules, indicator parameters, comparison operators, and risk settings:
1. Create Population
Creates an initial population of random strategies (your configured population size)
2. Evaluate
Evaluates every strategy by backtesting it against your data
3. Select Best
Selects the best performers based on your chosen optimization criteria
4. Crossover
Breeds new strategies by combining the best elements of top performers
5. Mutate
Introduces random mutations to explore new territory and prevent getting stuck
6. Repeat
Repeats for hundreds of generations, continuously improving the population
Configurable GA Settings
| Setting | What It Does | How It Helps You |
|---|---|---|
| Population Size | Number of strategies evaluated per generation (default: 200) | Larger population = more diverse exploration of the strategy space. More chances to find hidden gems. |
| Generations | How many evolutionary cycles to run (default: 200) | More generations = more time to refine. Total evaluations = Population × Generations (e.g., 200 × 200 = 40,000 strategies). |
| Optimize For | Which metric(s) the GA tries to maximize | You choose what "best" means for your trading style. Single metrics or custom multi-metric combinations. |
11 Built-In Optimization Metrics
Optimize for any of these metrics — or create custom weighted combinations:
Net Profit
Total profit in dollars
Profit Factor
Gross profit / gross loss (>1.0 = profitable)
Win Rate
Percentage of winning trades
Sharpe Ratio
Risk-adjusted returns (higher = better return per unit of risk)
Sortino Ratio
Like Sharpe but only penalizes downside volatility
MAR Ratio
Compound annual return / maximum drawdown
K-Ratio
Measures equity curve smoothness and consistency
Average Daily Profit
Average profit per trading day
Average R
Average reward-to-risk ratio per trade
Expected Value
(Win Rate × Avg Win) - (Loss Rate × Avg Loss)
Return to Drawdown
Net profit / maximum drawdown
Custom Multi-Metric
Create weighted combinations of any metrics above (e.g., 50% Profit + 30% Sharpe + 20% Win Rate)
Smart Adaptive Behavior
The GA automatically adapts its behavior during a run:
Adaptive Mutation Rate
High mutation (35%) in early generations for maximum exploration, gradually decreasing to 10% in later generations for fine-tuning.
Stagnation Detection
If the best fitness hasn't improved for 10 generations, mutation rate spikes to 60% and fresh random strategies are injected to break out of local optima.
Diversity Preservation
Strategies are grouped by structural signature, and only the best variant of each structure breeds. Prevents the population from being dominated by clones.
Progressive Early Termination
Obviously bad strategies are quickly eliminated using partial data in early generations. Focuses computational power on promising candidates.
3 Set Your Filters, Rules & Execution Settings
Guard Rails That Prevent Overfitting and Unrealistic Strategies
Generating thousands of strategies is easy. Generating strategies that are actually robust and tradeable is hard. Auto Strategy Builder includes a comprehensive set of filters, trading rules, and execution settings that ensure only realistic, robust strategies make it to your leaderboard.
Filters
| Filter | What It Does | How It Helps You |
|---|---|---|
| Min Trades (In-Sample) | Minimum number of trades required during the training period (default: 20) | Ensures statistical significance — a strategy with only 3 trades isn't meaningful. |
| Min Trades (Out-of-Sample) | Minimum trades required during validation period (default: 10) | Ensures enough OOS trades to trust the validation results. |
| Min. Indicators | Minimum unique indicators required in each strategy (default: 1) | Set to 2+ to force multi-indicator confluence. More agreement = more robust. |
| OOS/IS Profit Ratio | Controls how closely OOS profit must match IS profit | Catches overfitted strategies. Min ratio (0.3): OOS must be at least 30% of IS. Max ratio (2.5): OOS can't exceed 250% of IS. |
Built-In Quality Gates (Automatic)
In addition to your configurable filters, these institutional-grade quality checks are applied automatically:
Recovery Factor Filter
Strategies must earn at least $2 for every $1 of drawdown (Recovery Factor ≥ 2.0). Protects from strategies that make money but take enormous risks.
Maximum Drawdown Filter
Strategies with more than 15% drawdown are rejected. Industry standard for day trading safety.
Transaction Cost Stress Test
Every strategy is tested with 2x commission and slippage. If it turns unprofitable when costs double, it's rejected.
Complexity Penalty (Occam's Razor)
Strategies using more than 3 indicators get a 5% fitness penalty per extra indicator. Simpler strategies generalize better. 10+ indicators = rejected outright.
Walk-Forward Consistency
Strategies must be profitable in at least 70% of IS windows. A strategy that only works in one time period is likely overfitted.
Walk-Forward Variance Check
Strategies with wildly inconsistent profits across windows (std dev > 1.5x mean) are rejected. Consistent performance is more trustworthy.
Trading Rules Optimization
Beyond entry and exit logic, how you manage trades matters enormously. Auto Strategy Builder can automatically optimize these trading rules alongside your entry signals:
| Trading Rule | What It Does | How It Helps You |
|---|---|---|
| Daily Loss Limit | Max dollar loss per day before trading stops (-$2,500 to $0) | Prevents catastrophic days. The GA finds the optimal daily stop-loss level. |
| Daily Profit Limit | Target profit per day after which trading stops ($0 to $5,000) | Locks in profits. The GA finds the sweet spot between capturing more and protecting gains. |
| Consecutive Losers Limit | Max consecutive losing trades before pausing (1 to 15) | Stops the bleeding during losing streaks. Prevents capital erosion. |
| Consecutive Winners Limit | Max consecutive winning trades before pausing (1 to 50) | Protects against overextending during lucky streaks. Locks in profits during hot runs. |
| Max Daily Trades | Max number of trades per day (0 to 50) | Prevents overtrading, which drives up costs. GA finds optimal trade frequency. |
| Min Bars Since Last Trade | Minimum waiting period between trades (1 to 25 bars) | Prevents rapid-fire re-entries from noise. Forces the strategy to wait for fresh setups. |
| Max Bars In Trade | Maximum duration a trade can be held (2 to 25 bars) | Prevents trades from drifting indefinitely. Frees capital for better setups. |
Trading Hours
Control exactly when your strategies are allowed to trade:
Session Start & End Time
Define your trading window (e.g., 09:30 to 16:00 for US regular hours)
Overnight Session Support
Sessions that span midnight (e.g., 20:00 to 05:00 for Asian session)
Close at End of Session
Auto-close all open positions when the session ends. No overnight risk.
Signal Quality
Not all trading signals are created equal. Auto Strategy Builder includes a unique Signal Quality system that penalizes strategies with poor signal behavior:
Opposite Signal Penalty
If a strategy generates a "go short" signal while currently long, that's a warning sign. The GA penalizes strategies that produce conflicting signals.
Wasted Signal Detection
Signals that fire when not in a trade but don't result in entries are tracked and penalized.
Signal Spam Prevention
Strategies firing too many signals per trade are penalized. 50 signals per trade is noise, not edge.
Configurable Strength
Choose Light (3%), Medium (5%), or Strong (10%) penalty per bad signal.
Execution Settings
| Setting | What It Does | Default |
|---|---|---|
| Monte Carlo Slippage (Ticks) | Slippage applied during Monte Carlo robustness testing. Tests whether your strategy survives real-world execution conditions. | 2 ticks |
| Commission ($ per contract) | Round-trip commission including exchange fees, clearing fees, and broker commission. Applied to every trade in backtesting and MC validation. | $1.20 |
4 Hit "Generate" and Watch the Evolution
Thousands of Strategies, Evolved and Validated Automatically
Once you've selected your indicators, configured your settings, and set your filters, hit Generate. Behind the scenes, Auto Strategy Builder runs a multi-phase pipeline:
Phase 1: Indicator Warmup
All selected indicators are initialized and their data is pre-cached for fast access during backtesting.
Phase 2: GA Evolution
Creates population, backtests across WF windows, validates OOS, stress-tests with Monte Carlo, scores and ranks.
Phase 3: Post-Optimization
Top strategies get trading rules refined with a secondary mini-GA while preserving core entry logic.
Phase 4: Leaderboard
Strategies passing all quality filters are ranked and placed on the leaderboard in real-time.
Walk-Forward Analysis: The Industry Standard
Unlike a simple backtest that tests one time period, Walk-Forward Analysis tests your strategy across multiple rolling time windows:
Rolling Windows
Data is divided into multiple overlapping in-sample (training) and out-of-sample (validation) periods.
Independent Validation
The strategy must prove itself in every window, not just one favorable period.
Automatic IS/OOS Split
Default: 15% IS and 5% OOS per window, creating ~5 validation windows.
Real-Time Progress
While the engine works, you see:
You can cancel at any time and still keep the strategies that have been evaluated so far.
5 The Leaderboard: Your Strategy Rankings at a Glance
All that heavy computation is useless if you can't read the results clearly. Auto Strategy Builder gives you a comprehensive, sortable leaderboard showing everything that matters:
Leaderboard Columns
| Column | What It Shows |
|---|---|
| Rank | Overall ranking based on combined fitness (IS performance × OOS validation) |
| Warning | Warning icon if strategy has potential issues |
| Fitness | Combined fitness score — the single number that captures overall quality |
| Name | Auto-generated descriptive name based on the strategy's rules |
| IS Profit | Net profit during in-sample (training) period |
| OOS Profit | Net profit during out-of-sample (validation) period — this is the one that matters most |
| IS PF / OOS PF | Profit Factor for in-sample and out-of-sample periods |
| Win % | Winning trade percentage |
| Max DD $ | Maximum drawdown in dollars — your worst-case scenario |
| Commission | Total commission costs — see the real net performance |
| Sharpe | Sharpe Ratio — risk-adjusted returns |
| MAR | MAR Ratio — return relative to maximum drawdown |
| SL ATR | Stop-loss distance in ATR multiples |
| TP R:R | Take-profit as risk-reward multiple |
| Indicators | Number of unique indicators used — simpler is often better |
| Rules | Number of entry rules |
| Trades | Total number of trades generated |
Every column is sortable — click any header to sort by that metric. You can also customize which columns are visible using the "Select Columns" button.
Smart Uniqueness: No Duplicate Strategies
A common problem with strategy generators is the leaderboard filling up with nearly-identical strategies. Auto Strategy Builder prevents this with three layers:
Structural Signature Filter
Strategies with identical indicator/rule structures (even with different parameters) are detected. Only the best variant is kept.
Performance Signature Filter
Strategies producing identical performance metrics (same profit, trade count, win rate) are treated as functional duplicates.
Correlation-Based Penalty
Strategies with highly correlated daily equity curves receive a graduated penalty (up to 30%). Ensures genuinely diverse strategies.
6 Analyze: Deep-Dive Into Every Strategy
Click any strategy on the leaderboard and see a complete analysis in the detail panel below:
Overview Tab
Equity Curve Chart
- In-sample performance shown in green
- Out-of-sample performance shown in magenta
- A healthy strategy shows similar performance in both
Strategy Description
Full human-readable description of exactly what the strategy does: which indicators, what comparisons, what parameters.
Complete Performance Metrics (IS & OOS)
Monte Carlo Analysis Tab
This is where Auto Strategy Builder goes far beyond what most tools offer. Every strategy automatically gets a Monte Carlo robustness analysis — stress-testing it against randomized scenarios to answer: "Would this strategy still be profitable if trade order and execution were slightly different?"
Overall Robustness Score (0–100)
A single score displayed on a color-coded circular gauge:
80–100 Excellent
Highly likely to perform in live trading.
65–80 Good
Minor concerns but overall solid.
50–65 Fair
Some weaknesses — proceed with caution.
35–50 Poor
Significant risks identified.
0–35 Very Poor
This strategy is likely fragile.
7-Metric Robustness Breakdown
The overall score is built from 7 individual sub-scores, each shown with its own progress bar:
| Metric | What It Tests | Why It Matters |
|---|---|---|
| Slippage Survivability | Does the strategy remain profitable when realistic slippage is added to every trade? | In live trading, you almost never get the exact price. Tests handling 1–2 ticks of slippage on every entry/exit. |
| Drawdown Score | How does max drawdown change across 100 randomized trade sequences? | If shuffling trade order doubles drawdown, results depend on lucky sequencing. Robust strategies have stable drawdowns. |
| Top Winners Impact | How much profit comes from the top few winning trades? | If removing the top 3 winners turns it unprofitable, your edge is concentrated in lucky trades — not systematic. |
| Win Rate Stability | How much does win rate vary across permuted trade sequences? | Stable win rate across permutations means a genuine statistical edge. |
| Profit Factor Stability | Does the profit factor stay consistent across randomized scenarios? | A PF of 2.0 is great — but only if it stays above 1.0 in most permutations. |
| Avg Profit/Trade Score | How does average profit per trade hold up under randomization? | Ensures the per-trade edge is real and not an artifact of timing. |
| Consecutive Losers Score | What's the worst-case losing streak across all permutations? | Knowing realistic worst-case streaks helps set appropriate position sizing and risk limits. |
Detailed Monte Carlo Statistics
Below the dashboard:
Distribution Statistics
- Net Profit Distribution — Median, 5th, 25th, 75th percentile across all permutations
- Max Drawdown Distribution — Realistic range of drawdowns you might experience
- Consecutive Losers — Expected worst-case losing streaks
Equity Curve Permutations
Visual display of all 100 permuted equity curves overlaid, with your actual equity curve highlighted in white. See the full range of possible outcomes at a glance.
7 Export and Trade
From Leaderboard to Live in Minutes
Once you've found strategies you like, you're not stuck in theory land. Auto Strategy Builder gives you four ways to take action:
1. Load into Algo Studio Pro
Click "Load into ASP" to instantly import the strategy into Algo Studio Pro's visual logic designer. See entry/exit logic as visual blocks, add filters, time rules, or money management, and run further optimization.
2. Export as NinjaScript
Click "Save NinjaScript" to generate a complete, ready-to-compile NinjaScript strategy file (.cs). Import directly into NinjaTrader — use in Strategy Analyzer, Market Replay, or live trading.
3. Save Strategy to Disk
Click "Save Strategy" to save the complete strategy definition as JSON — all rules, configurations, trading rules, risk settings, and backtest results. Reload later for validation on new data.
4. Load Strategy from Disk
Click "Load Strategy" to import a previously saved strategy. Auto Strategy Builder automatically warms up indicators, runs a fresh backtest, and shows full results with equity curve and MC analysis.
No Coding. No Logic Puzzles. Just Click, Generate, Evaluate, Trade.
What Most Tools Make You Do
- Learn a programming language
- Spend hours wiring up entry/exit logic
- Debug cryptic error messages
- Rebuild everything when testing a new idea
What Auto Strategy Builder Does
- Pick your indicators and plots
- Choose which settings can be optimized
- Configure filters and trading rules (or use defaults)
- Hit Generate
- Sort, filter, and review the leaderboard
- Analyze robustness with built-in Monte Carlo
- Export your favorite strategies
That's it. No coding. No composing. Just strategy discovery on autopilot.
Complete Feature Reference
Everything Auto Strategy Builder includes — every feature, every setting, every quality check:
Strategy Generation Engine
| Feature | Description |
|---|---|
| Genetic Algorithm | Evolutionary optimization with selection, crossover, and mutation. Intelligently searches the strategy space. |
| Configurable Population Size | Strategies tested per generation (default: 200) |
| Configurable Generations | Evolutionary cycles to run (default: 200). Total = population × generations. |
| Adaptive Mutation Rate | 35% early (explore) → 10% late (refine). Spikes to 60% on stagnation. |
| Diversity Preservation | Groups by structural signature — only best variant breeds. Prevents clone domination. |
| Population Injection | Injects 30% fresh random strategies when stuck to escape local optima. |
| Progressive Early Termination | Eliminates bad strategies early using partial data. |
| Post-Optimization Phase | Mini-GA refines trading rules of top strategies while preserving entry logic. |
| Multi-threaded Execution | Uses all CPU cores for parallel backtesting. Scales with hardware. |
Indicator Management
| Feature | Description |
|---|---|
| Auto-Discovery | Automatically detects all parameters and plots from any NinjaTrader indicator |
| Parameter Ranges | Set min, max, step for each parameter (e.g., Period: 10–200 step 5) |
| Plot Selection | Enable/disable specific plots per indicator |
| Entry/Exit Assignment | Each indicator can be used in entry rules, exit rules, or both |
| Overlay Detection | Auto-detects price-panel vs oscillator indicators and adjusts comparisons |
| Save/Load Lists | Save indicator configurations to disk and reload later |
Optimization Criteria
| Feature | Description |
|---|---|
| 11 Built-In Metrics | Net Profit, Profit Factor, Win Rate, Sharpe, Sortino, MAR, K-Ratio, Avg Daily Profit, Avg R, Expected Value, Return to Drawdown |
| Custom Multi-Metric | Create weighted combinations (e.g., 50% Profit + 30% Sharpe + 20% Win Rate) |
| Save/Load Criteria | Name and save custom criteria for reuse across sessions |
Validation & Robustness
| Feature | Description |
|---|---|
| Walk-Forward Analysis | Multiple rolling IS/OOS windows (not just one static split) |
| Monte Carlo Validation | 100-permutation stress test with 7-metric robustness scoring |
| OOS Profit Ratio Filter | Configurable min/max OOS/IS profit ratio to catch overfitting |
| Recovery Factor Filter | Requires NetProfit/MaxDD ≥ 2.0 |
| Max Drawdown Filter | Rejects strategies with >15% drawdown |
| Transaction Cost Stress Test | Tests profitability under 2x costs |
| Walk-Forward Consistency | Requires 70%+ IS windows profitable |
| Walk-Forward Variance | Rejects strategies with unstable cross-window performance |
| Complexity Penalty | 5% fitness reduction per indicator beyond 3 (Occam's Razor) |
| Uniqueness Penalty | Correlation-based deduplication prevents leaderboard clones |
Trading Rules
| Feature | Description |
|---|---|
| Daily Loss Limit | Stop trading after X dollars lost (optimized by GA) |
| Daily Profit Limit | Stop trading after X dollars earned (optimized by GA) |
| Consecutive Losers Limit | Pause after X losing trades in a row |
| Consecutive Winners Limit | Pause after X winning trades in a row |
| Max Daily Trades | Cap number of trades per day |
| Min Bars Since Last Trade | Cooldown period between trades |
| Max Bars In Trade | Maximum trade duration |
| Trading Hours | Session start/end times with overnight support |
| Close at End of Session | Auto-flatten all positions at session end |
Leaderboard & Analysis
| Feature | Description |
|---|---|
| Top 100 Strategies | Leaderboard shows up to 100 best strategies (configurable) |
| 18+ Sortable Columns | Rank, Fitness, IS/OOS Profit, PF, Win%, DD, Sharpe, MAR, and more |
| Configurable Columns | Show/hide columns to focus on the metrics you care about |
| Equity Curve Chart | IS (green) vs OOS (magenta) equity curves for instant visual validation |
| Full KPI Panel | Every performance metric for IS, OOS, and complete periods |
| Strategy Description | Human-readable description of every rule, indicator, and parameter |
| Monte Carlo Dashboard | 7-metric robustness gauge with equity curve permutation chart |
Export Options
| Feature | Description |
|---|---|
| Load into Algo Studio Pro | One-click import into ASP's visual logic designer for further refinement |
| Export NinjaScript (.cs) | Generate compilable NinjaTrader strategy code |
| Save Strategy (.json) | Save full strategy definition + results to disk |
| Load Strategy (.json) | Reload saved strategies and backtest on new data |
Who Is Auto Strategy Builder For?
NinjaTrader Users
Tired of manually tinkering with strategies in slow motion
Non-Coders
Like the idea of algos but hate coding or don't have the time
Indicator Owners
Already own 3rd party indicators and want to actually put them to work in systematic strategies
Data-Driven Traders
Want to validate ideas with hard data, not just screenshots and hindsight
Serious Traders
Want institutional-grade robustness testing (Walk-Forward + Monte Carlo) without a quant degree
Algo Studio Pro Users
Want a fast way to generate base strategies you can further tweak and refine
"If only there was a way to just try a ton of variations on my favorite setups and see what actually holds up under real-world conditions…"
— Auto Strategy Builder is built for you.
Why You Can't Afford to Keep "Guessing" Your Edge
Without Auto Strategy Builder
- Trusting your memory more than hard data
- Over-reacting to a handful of recent trades
- Potentially trading ideas that don't actually have a statistical edge
With Auto Strategy Builder
- Plug in the indicators and logic you believe in
- Prove or disprove ideas across many combinations
- Validate with Walk-Forward across multiple windows
- Stress-test with Monte Carlo simulation
- Surface robust candidates with clear scores
"This strategy has $X net profit, Y profit factor, Z Sharpe, passes Walk-Forward with 5/5 profitable windows, scores 82/100 on Monte Carlo robustness, and remains profitable even with 2x trading costs. I know what I'm trading."
That's a completely different level of confidence.
See It In Action
Watch Auto Strategy Builder in action — from setup to strategy export:
Ready to Turn Your Indicators Into Real Strategies?
Stop guessing and start systematically discovering strategies that stand up to Walk-Forward validation, Monte Carlo stress-testing, and real-world cost modeling.
$99 / month
Unlimited strategy generation runs • Genetic Algorithm engine • Walk-Forward Analysis • Monte Carlo Validation • NinjaScript Export • Ongoing updates
Get Auto Strategy Builder