Custom Strategy Builder¶

Build, test, and deploy your own trading strategies using technical indicators — all through natural conversation.

How It Works¶

Define your strategy as a set of rules:

Trigger — the event that fires an entry signal (e.g., RSI crosses below 30)
Confirmations — conditions that must also be true (e.g., price above EMA 200)
Stop-loss & take-profit — risk management rules applied to every trade

Anny backtests your rules against real historical data, shows you the results, and can deploy the strategy as a live bot on your connected exchange.

Supported Indicators¶

Indicator	Fields	Key Parameters
RSI	`value`	`period` (default: 14)
EMA	`value`	`period` (default: 20)
SMA	`value`	`period` (default: 20)
MACD	`macd`, `signal`, `histogram`	`fast` (12), `slow` (26), `signal` (9)
ADX	`value`, `plus_di`, `minus_di`	`period` (default: 14)
ATR	`value`	`period` (default: 14)
BBANDS	`upper`, `middle`, `lower`	`period` (20), `stddev` (2)
STOCHRSI	`k`, `d`	`period` (14), `k` (3), `d` (3)

You can also use PRICE to reference raw candle data (open, high, low, close, volume).

Operators¶

Operator	Use As	Meaning
`crosses_above`	Trigger	Value just crossed above threshold (state change)
`crosses_below`	Trigger	Value just crossed below threshold (state change)
`above`	Confirmation	Value is currently above threshold
`below`	Confirmation	Value is currently below threshold

Triggers detect transitions — they fire once when the condition changes from false to true. Confirmations are persistent — they're checked continuously.

Multi-Timeframe¶

Each condition can reference a different timeframe. For example, use a 4-hour trigger with a daily confirmation:

"Backtest a strategy on ETH 4h where EMA(9) crosses above EMA(21), but only when the daily RSI is above 50"

Anny aligns the timeframes automatically using forward-fill mapping, so higher-timeframe conditions always reflect the most recent completed candle — no look-ahead bias.

Risk Management¶

Stop-Loss Types¶

Type	Description
Percent	Fixed percentage from entry (e.g., 3%)
ATR	Multiplier of ATR(14) at entry (e.g., 2x ATR)
Structure	Based on recent support/resistance levels
Regime	Adapts to current market volatility regime

Take-Profit Types¶

Type	Description
Percent	Fixed percentage target (e.g., 8%)
Risk/Reward	Multiple of stop-loss distance (e.g., 2:1 R:R)

Available Tools¶

backtest_custom_strategy¶

Test your strategy against historical data. Returns performance metrics, trade history, equity curve, and current signal status.

Cost: 100 credits
Lookback periods: 3M, 6M, 1y

scan_custom_signals¶

Check if your strategy conditions are met right now against live market data.

Cost: Free (0 credits)
Returns: Current indicator values, which conditions are met, signal status (ACTIVE / APPROACHING / INACTIVE)

deploy_strategy_as_bot¶

Deploy a tested strategy as a live trading bot on your connected exchange. The bot is created paused — you activate it manually from the dashboard.

Requires: Connected exchange account
Creates: A new bot with your strategy rules, stop-loss, and take-profit settings

get_bot_strategy¶

Retrieve the strategy definition attached to an existing custom strategy bot.

update_strategy_config¶

Modify the strategy rules on an existing bot (while paused).

What the Backtest Shows¶

Section	What It Contains
Strategy Rules	Echo of your trigger, confirmations, direction, stop-loss, take-profit
Performance	Total return, win rate, profit factor, Sharpe ratio, max drawdown, avg hold
Train/Test Split	In-sample (80%) vs out-of-sample (20%) metrics with overfit detection
Warnings	Statistical significance flags (< 10 trades = meaningless, < 30 = low)
Price Context	Current price vs SMA(200), Bollinger Band position, ATR percentile, support/resistance
Volume Context	Relative volume, OBV direction, volume-confirmed win rates
Trades	Entry/exit prices, dates, hold duration, return, exit reason
Signal Status	Whether conditions are met right now (ACTIVE / APPROACHING / INACTIVE)

Transaction Costs¶

Backtests include realistic costs:

Fee: 0.1% per side (taker)
Slippage: 0.1% for major assets (BTC, ETH, SOL, BNB, XRP, ADA, DOGE, AVAX), 0.3% for alts
Entry: at next bar's open (no look-ahead)
SL priority: when both stop-loss and take-profit hit in the same bar, stop-loss wins (pessimistic)

Typical Workflow¶

1. Scan     → "Check if RSI is below 30 on BTC right now"
2. Backtest → "Backtest buying BTC when RSI crosses below 30
               with price above EMA(200), 3% stop, 2:1 R:R"
3. Iterate  → "Try it with RSI 25 instead" / "Add ADX > 25 confirmation"
4. Deploy   → "Deploy this strategy as a bot on Binance SPOT with $200"
5. Monitor  → "What's the strategy on bot abc123?"
6. Update   → "Change the stop-loss to 4%"

Important

Results are hypothetical and simulated. Past performance does not indicate future results. Signal status of ACTIVE means your conditions are met — it is not a recommendation to trade. Bots are always created paused. This is not financial advice.