Now supporting Solana & Futures

Launch your own
Algo Trading Firm

The complete white-label infrastructure to start a proprietary trading company. Deploy our battle-tested algorithms for Crypto, Stocks, Forex, and Futures under your brand.

Start Your Firm
Platform/Dashboard
System Operational

Overview

Welcome back, here's what's happening today.

Active Clients
847
+24this month
Total AUM
$2.4B
+18.3%vs last quarter
P&L
+$42.8M
+12.7%YTD
Active Positions
1,284
892 Long392 Short

Agency Performance

Revenue
Profit
Performance Fee
Monthly Revenue
$142,890.00
Monthly Profit
$98,450.00
Performance Fee
$19,690.00

Top Strategies

AS
Alpha Scalp V2
$1.2M AUM
+14.2%
30d
GT
Gold Trend
$840k AUM
+8.1%
30d
NN
Neural Net Eq
$420k AUM
+5.4%
30d
L
Legacy Mix
$180k AUM
+1.2%
30d
Ecosystem

Powering the next generation of Algorithmic Trading Firms

A
Alpha
Q
Quant
+
Global
^
North
S
Sigma
B
Blue
AlgoFintech
AlgoFintechCore Infrastructure

Institutional-Grade Algorithms

Don't just launch a firm. Launch a profitable one. Our whitelabel solution includes access to four proprietary trading engines.

Crypto Algo

High-frequency volatility scalping on BTC, ETH, and SOL. Auto-hedging capabilities across exchanges.

24/7 Active

Futures & Indices

Trend-following systems for NQ, ES, and Gold. Designed for prop firms to manage drawdown effectively while capturing big moves.

NQ100
ES500
XAUUSD
09:0016:00

Forex Algo

Mean reversion strategies for major currency pairs. Low drawdown focus ideal for funded trader programs.

Multi-Currency

Stock Equities Engine

Deep learning models analyzing volume profiles and order flow on US Blue Chip stocks. Provide your clients with institutional-level stock trading automation that adapts to earnings reports and market sentiment.

TSLA+2.4%
NVDA+5.1%
AAPL-0.4%
AMD+1.8%
What's Under the Hood

Every algorithm we give you has already survived what markets can throw at it.

Our quant research pipeline isn't just sophisticated — it's battle-tested. We run every strategy through walk-forward optimization, Monte Carlo stress testing across 10,000+ market regimes, and continuous health monitoring in live markets. Your clients get algorithms that have already been proven under extreme conditions.

5,000+ Market Signals

Walk-Forward & Monte Carlo

Multi-Regime Validated

Continuous Health Monitoring

Strategy Library

Show your clients strategies they can actually trust.

Our strategy library contains fully live-validated algorithms across every major asset class. Each strategy includes real performance metrics, risk profiles, and robustness scores so your clients can choose with confidence.

Mean Reversion Overnight

Conservative

Ann. Return

14%

Max DD

-7%

Win Rate

68%

Captures overnight mean reversion patterns in Nasdaq futures with tight stops and disciplined exit rules.

Designed for: Low-volatility traders and risk-averse portfolios

Robustness Score

91/100

Trend Follower Mid-Session

Moderate

Ann. Return

24%

Max DD

-12%

Win Rate

49%

Rides the mid-session momentum wave on NQ with dynamic position sizing and trend-confirmation filters.

Designed for: Balanced risk-reward seekers with moderate drawdown tolerance

Robustness Score

76/100

Momentum Breakout Alpha

Aggressive

Ann. Return

38%

Max DD

-18%

Win Rate

54%

Exploits breakout momentum during high-volatility sessions on Nasdaq with aggressive position scaling.

Designed for: High-growth traders comfortable with significant volatility

Robustness Score

82/100

All strategies shown are available to white-label partners. Past performance does not guarantee future results.

Built-In Client Matching

Your clients have different risk appetites. Your platform handles that automatically.

Every strategy in our library is tagged with a risk profile (Conservative, Moderate, or Aggressive). Your platform's matching engine automatically recommends the right strategy mix based on each client's stated risk tolerance — no manual work required.

TURNKEY SOLUTION

Everything you need to scale your trading firm.

We handle the backend, risk management, and algorithm maintenance. You focus on acquiring traders and growing your brand.

Custom Brand Portal

Your logo, your domain, your rules. Clients never see Algo FinTech.

Automated Risk Engine

Set max drawdowns, daily loss limits, and profit targets automatically.

Integrated Payments

Accept Crypto, Stripe, and Bank Wires. Automated payouts to traders.

Total Revenue (This Month)
$284,920.00
Withdraw
A
Alpha Trading Co.
Enterprise Plan
Active
Q
Quant Capital
Pro Plan
Active
F
FutureFlow Inc.
Starter Plan
Pending
The Research Engine

The software powering every strategy we deploy.

Every algorithm available on your white-label platform was built, tested, and validated using our proprietary quant research engine. This is not off-the-shelf software. It is an institutional-grade strategy development system that evaluates millions of signal combinations, filters for overfitting, and only surfaces strategies that hold up when the data fights back.

AlgoFinTech Research Platform Dashboard — Continuous Simulation Results

Our internal strategy research and validation platform — the engine behind every algo on your platform.

Here's what's running under the hood of every strategy your clients trade.

5,000+ Signal Library

When we research a strategy for your platform, we draw from a library of over 5,000 market signals — price action, technical indicators, volume, volatility, macroeconomic data, seasonality, option flows, COT reports, market breadth, sentiment, news events, and more. Every strategy starts with exhaustive signal coverage, not guesswork.

Signal Selection Input Interface

Automated Strategy Generation

Our engine doesn't test one strategy at a time — it evaluates millions of possible signal combinations simultaneously, intelligently evolving and refining toward the best risk-adjusted outcomes. What would take a human analyst months to test manually, our system processes in minutes.

Automated Workflows & Filtering

Every strategy that reaches your platform has already passed a gauntlet of automated performance filters — minimum trade frequency, profit factor thresholds, drawdown limits, and robustness test pass/fail criteria. Strategies that don't meet the standard never make it into the output. What your clients see has already been screened multiple times over.

Automated Workflows Filter Interface

Monte Carlo Stress Testing

Before any strategy is deployed, it is subjected to Monte Carlo simulation — randomly resequencing thousands of trade outcomes to stress-test performance under different scenarios. This sets realistic expectations and identifies strategies whose backtests were built on a lucky sequence of trades rather than a genuine edge.

Monte Carlo Equity Bands Chart

Noise Testing

Our Noise Test creates 1,000 synthetic price series with adjusted volatility and re-trades every strategy across all of them. If a strategy only works on the exact historical data it was built on, it fails. If it holds up across thousands of noise-adjusted variations, it passes. This is one of the most rigorous anti-overfitting checks in systematic trading.

Noise Test Results Window

Variance Testing

Variance Testing simulates how a strategy is expected to perform over the next N trades — with fluctuating win rates — to set realistic live trading expectations before a single dollar is risked. It shows the probability of hitting a profit target, the likelihood of a specific drawdown, and a 95% confidence interval for both. We only deploy strategies with stable distributions.

Variance Testing Distribution Chart

Walk-Forward & Out-of-Sample

Every strategy is validated on data it has never seen. Walk-forward analysis progressively tests strategies on rolling out-of-sample windows, while our Randomized Out-of-Sample test runs 1,000 randomly selected data periods to ensure favorable results weren't just the product of a strong trend during the test window. If it can't generalize, it doesn't deploy.

Multi-Strategy Portfolio Construction

Individual strategies are only the beginning. Our portfolio engine combines uncorrelated strategies across markets, timeframes, and asset classes — analyzing optimal weightings, rebalancing logic, and ensemble voting systems to construct diversified portfolios that smooth equity curves and reduce correlated drawdowns. This is what your clients' accounts are actually running.

[ Screenshot: Multi-Strategy Portfolio Dashboard ]

Live Strategy Monitoring & Health

After deployment, every strategy on your platform is continuously monitored in real time — tracking live P&L, position status, health scores, and equity band breaches. If a strategy begins to behave outside of its expected range, we know before your clients do. This is not set-and-forget infrastructure. It is active governance.

[ Screenshot: Live Strategy Monitoring Dashboard ]
Strategy Output Results Window
Strategy Output

Hundreds of validated strategies. One click to see them all.

Every strategy our engine generates is immediately evaluated and ranked. Your team can navigate through hundreds of results, view in-sample and out-of-sample performance side by side, run robustness tests on any individual strategy, and export fully automated trading code — all without writing a single line of code. This is how every algo on your platform gets built.

Code Export

From validated edge to live-trading code. Automatically.

Once a strategy passes every validation gate, our engine generates fully executable trading code — compatible with NinjaTrader, TradeStation, MetaTrader 4 & 5, TradingView, Interactive Brokers, MultiCharts, ProRealTime, and Python. The same code that powers your platform's algorithms. No manual coding. No translation errors. Just a validated edge, ready to deploy.

Generated Code Export Window

Every algo your clients trade has been through all of this.

Most white-label platforms hand you a black box and tell you to trust it. We show you exactly how the research behind your strategies works — because when you understand the depth behind every algo on your platform, selling them to your clients becomes effortless.

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