Strategies

Strategies are evaluated by AI, produce events, and trade on behalf of the user.

A strategy has the following properties:

Nickname	A descriptive name for the strategy, chosen by the user at strategy creation time - only used for display purposes
Markets	Markets that the strategy covers - any market not in this list will not be considered by the strategy - the more markets selected, the more AI credits the strategy consumes
Quantity	USD quantity of the orders that the strategy submits - selected by the user at strategy creation time - users are recommended to start out with a low Quantity and scale up as they refine their prompts and become more confident in their AI
Timeframe	The timeframe which the strategy operates on - can be anywhere from 1 minute to 1 week - lower timeframes query the AI more often and consume more AI credits
Min. Confidence	Minimum confidence required by the strategy in order to submit orders - traders are recommend to start out with a minimum confidence of 90% and fine-tune as needed
Text Prompt	User-written text prompt which defines the strategy and tells the AI what to do - can be any in any natural language although English tends to yield the best results. This is also known as the "Strategy Description".
Status	Can be either "ACTIVE" or "PAUSED" - "PAUSED" strategies do not trade and do not consume AI credits
Creation Time	Strategy creation time - time at which the user created the strategy
Model	The AI model employed by the strategy

The most important properties to understand are Text Prompt, Timeframe and Min. Confidence.

Text Prompt is a user-written text in natural language (our AI models can handle any language - however, English tends to yield the best results). It defines the strategy and tells the AI what to do. It can include references to the data listed here. It has a maximum length of 1000 characters.

Timeframe governs the rate at which the strategy queries the AI, the timeframe that the AI considers in its decision process, and the timeframe/horizon of the data that is sent to the AI as part of a query. Lower timeframe strategies query the AI more often, and consume more AI credits, relative to higher timeframes.

Min. Confidence is the minimum confidence level required by the AI in order to commit to a trading decision ("BUY" , "SELL" or "CLOSE"). The default minimum confidence level is 90%, requiring the AI to be reasonably certain in its decision prior to placing a trade. Traders can optionally select a lower minimum confidence level, resulting in more frequent trades and a potentially higher error/hallucination rate.

Timeframes

Strategies can utilize the following timeframes:

Timeframe	Description
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

Min. Confidence

Commonly selected min. confidence levels:

Min. Confidence	Description
95%	Very conservative min. confidence level. Use this when you want the AI to be extremely sure about its decision prior to making a trade
90%	Default min. confidence level. Best for most strategies
85%	Aggressive min. confidence level. Use when you want the AI to trade more frequently and don't mind a higher "hallucination rate"
80%	Very aggressive min. confidence level. Use only when you want the AI to trade very frequently and are fine with occasional errors and "hallucinations"

Models

Strategies can utilize the following models:

Model	Description
Everstrike-Mini-1.0	Default model. Best for most strategies. Consumes $0.0006 in AI credits per event produced

Strategy Costs

Strategies consume credits for each event that they generate. Below is a cost breakdown for a strategy that uses the Everstrike-Mini-1.0 model:

Timeframe	Events Produced Per Market Per Day	Hourly Credit Usage Per Market
1m	2880	$0.072
3m	1440	$0.036
5m	1440	$0.036
15m	480	$0.012
30m	480	$0.012
1h	288	$0.0072
2h	288	$0.0072
4h	288	$0.0072
6h	288	$0.0072