Strategies
Configure AI trading strategies, controls, models, and evaluation costs.
Strategies are evaluated by AI, produce events, and can trade on your behalf.
Each active strategy produces one event per evaluation for each selected market. Paused strategies produce no events, place no trades, and consume no AI credits.
Start with one market and a low Max Trade Quantity. Review events before increasing exposure or evaluation frequency.
Configuration
Nickname
Display name chosen when you create the strategy.
Markets
Markets the strategy evaluates. Unselected markets are ignored. Each selected market increases credit use.
Max Trade Quantity
Maximum USD value for each order. Start low, then increase it as you validate the strategy.
Timeframe
Data horizon used for the strategy's decisions.
Evaluation Frequency
How often the strategy evaluates each selected market. More frequent evaluations create more events and cost more.
Min. Confidence
Confidence required before the AI submits a BUY, SELL, or CLOSE order.
Prompt
Instructions that define the strategy. Prompts support natural language and allow up to 5,000 characters. English usually produces the best results.
Status
ACTIVE strategies evaluate and may trade. PAUSED strategies do neither.
Creation Time
Time when you created the strategy.
Model
AI model used for evaluations.
Temperature
Temperature setting used by the model.
Discretion
Whether the strategy uses discretion.
Cost Savings Mode
Can reduce token consumption by up to 30%. Disabled by default. Reasoning output is minimal for events created in this mode.
Lookback Period
Historical bars considered during evaluation. The default is 5. Higher values increase token consumption.
Trigger Strategy
Triggers another strategy rather than trading directly. Use it to chain strategies or build screeners. Disabled by default.
Max Slippage
Maximum slippage the strategy accepts.
Key controls
Prompt
The prompt tells the AI what to evaluate and how to act. It can reference the supported data.
Make prompts specific about:
Markets or conditions to evaluate.
Entry, exit, and position-management rules.
When the strategy should hold instead of trading.
Timeframe
The timeframe sets the data horizon used during each decision. Choose a timeframe that matches your trading horizon.
Min. Confidence
The default is 90%. A lower threshold can create more trades, but may increase incorrect decisions.
Timeframes
Strategies can utilize the following timeframes:
1m
1 minute
3m
3 minutes
5m
5 minutes
15m
15 minutes
30m
30 minutes
1h
1 hour
2h
2 hours
4h
4 hours
6h
6 hours
24h
1 day
Min. Confidence
Common confidence settings:
95%
Very conservative. Use when decisions need very high certainty.
90%
Default. Suitable for most strategies.
85%
Aggressive. May trade more often and make more incorrect decisions.
80%
Very aggressive. Use only when frequent trades justify a higher error rate.
Models
Strategies can utilize the following models:
GPT-4o-mini
1s
$0.000125
Oldest model.
GPT-4.1
1.5s
$0.0015
Fast, expensive, and powerful.
GPT-4.1-mini
1s
$0.00015
Default model. Best for most strategies.
GPT-4.1-nano
0.5s
$0.000075
Very fast and inexpensive.
GPT-5-mini-minimal-reasoning
3s
$0.0002
Balanced.
GPT-5-nano-minimal-reasoning
3s
$0.00005
Inexpensive.
GPT-5-mini-low-reasoning
5s
$0.0004
Moderately powerful.
GPT-5-nano-low-reasoning
5s
$0.0001
Inexpensive and moderately powerful.
GPT-5-mini-medium-reasoning
10s
$0.0008
Powerful.
GPT-5-nano-medium-reasoning
10s
$0.0002
Inexpensive and moderately powerful.
GPT-5-mini-high-reasoning
20s
$0.002
Very powerful and expensive.
GPT-5-nano-high-reasoning
20s
$0.0004
Powerful.
Strategy Costs
Strategies consume credits for every event they generate. The estimates below use GPT-4.1-mini and apply to each market.
1s
86,400
$0.54
5s
17,280
$0.108
15s
5,760
$0.036
30s
2,880
$0.018
1m
1,440
$0.009
3m
480
$0.003
5m
288
$0.0018
15m
96
$0.0006
30m
48
$0.0003
1h
24
$0.00015
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