Crypto trading bots. Quant-grade.
AI optimizer finds losing patterns. Walk-forward validates on unseen data. Then DCA, trailing stops, and regime-aware execution. Free to start.
From strategy to live execution in 4 steps
Choose your signal source: TradingView webhooks, Telegram channels, REST API, or Anny’s built-in algorithms. Pick your exchange, pair, and account type (spot or futures).
Configure entry ranges that monitor price every second for up to 48 hours. Add up to 8 DCA layers with custom allocation percentages. Set leverage and margin type for futures.
Define position sizing (% of balance or fixed amount), stop-loss, trailing stop, and up to 3 take-profit targets with partial exits. Enable auto-stop for automatic stop-loss placement.
Backtest against historical data, validate with walk-forward analysis, then deploy. Get real-time notifications on Telegram, Discord, email, or push. Adjust live parameters without stopping the bot.
Precision tools, not toy bots
Every feature exists because it gives you an edge in live markets. Nothing cosmetic, nothing gimmicky.
Entry precision
Price-aware entries that wait for the right moment instead of buying at whatever the market gives you.
- Entry ranges with 1-second monitoring (up to 48h)
- Up to 8 DCA layers with custom sizing
- Limit orders, market orders, or conditional triggers
Exit intelligence
Multi-layered exit logic that locks in profits systematically and cuts losses before they compound.
- Up to 3 take-profit targets with partial exits
- Trailing stops that adapt to price movement
- Auto-stop with proportional stop-loss sizing
Risk control
Position sizing, margin control, and exposure limits that protect your capital across every trade.
- % of balance or fixed allocation per trade
- Isolated/cross margin with leverage control
- Per-bot and portfolio-level risk limits
Take any strategy to quant level
Before your bot touches real capital, put it through the same pipeline institutional desks use — or ask Anny to create a strategy for you.
7 filter dimensions, real slippage modeling, and per-trade diagnostics across thousands of candles.
The Optimizer classifies every loss — counter-trend, whipsaw, weak conviction, revenge — and suggests parameter fixes.
Out-of-sample validation with a 0–100 confidence score and regime breakdown across accumulation, distribution, and ranging.
Deploy optimized parameters directly to a live bot. Staleness monitoring alerts you when market conditions drift from what was tested.
Ask Anny anything about your bots
A portfolio-aware AI that knows your positions, your P&L, and your risk exposure. Not a generic chatbot.
- "Why did my ETH bot underperform this week?"
- "Which of my bots has the worst risk-adjusted return?"
- "Should I increase my BTC allocation given current regime?"
- "Create a BTC mean-reversion strategy with 3 DCA layers."
What we don’t build, and why
Every feature we deliberately exclude protects your capital. This is not a gap in our product. It’s the product.
No grid bots
0 hedge funds run grid strategiesGrid bots are mean-reversion disguised as automation. They bleed in trends — which is most of the time. Institutions don’t use them. Anny uses regime detection to know when to enter and when to stay out.
No martingale
Banned at every institutional deskMartingale doubles your bet after every loss. One extended sequence wipes months of gains. No prop desk, no hedge fund uses this. It’s a retail trap packaged as a strategy.
No blind copy-trading
Institutions share research, not order flowCopying a stranger’s trades means inheriting their risk without understanding their thesis, sizing, or exit plan. Institutional desks share research, not order flow. Anny’s signal communities work the same way.
No ‘set and forget’
Markets change regime 4–6 times per yearSet-and-forget bots assume the market stays the same. It doesn’t. Institutions rotate strategies with regime shifts. Anny’s AI regime filter adapts your bot automatically.
Institutional intelligence vs retail automation
No hedge fund runs grid bots. No prop desk copies strangers. Here's what separates institutional execution from retail toys.
| AnnyInstitutional-grade | Grid BotsRetail automation | Copy-TradingRetail delegation | |
|---|---|---|---|
| Entry execution | Regime-aware entry with conditional triggers, DCA layering, 1s price monitoring | Fixed grid levels — no market context | Blind replication of leader's entries |
| Exit methodology | Multi-target profit taking, adaptive trailing, auto-stop — institutional exit ladder | Grid boundary exits only | Delayed mirror of leader's exits |
| Risk-adjusted sizing | Per-trade sizing, leverage gates, portfolio-level exposure limits | Grid range is the only risk parameter | Inherits leader's risk without context |
| Regime detection | AI classifies market regime before every entry — accumulate, wait, or distribute | None — assumes sideways forever | None — leader may not adapt either |
| Pre-deploy validation | Backtest → AI optimizer → walk-forward on unseen data. Same validation pipeline institutions use. | Range backtest at best | Leader track record — untestable on your settings |
| Decision authority | You. Every parameter, every guardrail, every override. | The algorithm | A stranger on the internet |
| Drawdown defense | Stop-loss, trailing, auto-stop, regime filter — multi-layer capital protection | Limited. Full grid exposure by design. | None unless leader uses it |
| Strategy diagnosis | AI classifies every loss by pattern, suggests parameter fixes — your personal quant analyst | None | None |
| AI analyst on demand | Portfolio-aware AI that knows your positions, risk, and P&L | None | None |
| Walk-forward validation | Out-of-sample stress testing with confidence scoring — standard on institutional desks | None | None |
| Decision explainability | Ask why any trade happened and get a data-backed answer | Grid math only | None — you never know why the leader traded |
Trading cryptocurrencies involves significant risk of loss and is not suitable for all investors. You may lose some or all of your invested capital. Past performance is not indicative of future results. This is not financial advice.
Free to start. Pro from $19/mo.
Free tier includes bots, backtesting, and 5 daily Ask Anny queries. Credits power every AI feature.
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How do credits work?
Credits are consumed each time you use an AI feature. Cost depends on the feature and how much the AI processes.
| Feature | Credits |
|---|---|
| AI Features (varies by usage) | |
| Ask Anny (chat) | Varies |
| AI Insights | Varies |
| Deep Research | Varies |
| Backtesting (fixed per run) | |
| Backtesting | 100 |
| Portfolio Backtest | 200 |
| Strategy Optimizer | 900 |
| Walk-Forward Analysis | 1,800 |
"Varies" = billed by actual token usage. A short question costs less than a deep portfolio analysis. You can see the exact cost of each response via the ⓘ icon next to it.
Your plan includes a monthly credit refill. Purchased credits are added on top and never expire.
Frequently asked questions
Can I place a trade that only fires at a certain price?
How many DCA layers can I configure?
Can I run bots on futures with leverage?
Why no grid bots? Other platforms have them.
Can I backtest before deploying?
What happens if the market crashes while my bot is running?
What does the Optimizer do?
What is walk-forward analysis?
What's the difference between a grid bot and Anny?
Is DCA better than using a trading bot?
Stop guessing. Start building.
Entry ranges, DCA layers, trailing stops, regime-aware AI filters. Build a bot that trades the way you think.
Start building for freeTradingView is a trademark of TradingView, Inc. Exchange names and logos are trademarks of their respective owners. Anny Trade is not affiliated with or endorsed by any third-party platform mentioned on this page.
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