# Locked LMDA ## Overview Extending the utility of the LMDA token, holders will be able to lock up LMDA tokens via the web-app for 30-day, 60-day or 90-day epochs. {% hint style="warning" %} Tiered discount values will be dependent on the number of LMDA tokens locked + the time that the users select to lock up their tokens for. {% endhint %} In return, locked token holders will be granted **tiered** discounts on platform features + receive generous referral rebates. Future ‘locked-only’ platform features will be available in-app. Launching in March 2023. Referral links will grant new users 5% discounts on subscriptions.

Lock LMDA to receive rewards + discounts

Rebates will be paid out to the user in LMDA tokens for the equivalent USDC value owed. For LMDA token holders who have locked up their tokens, the discount on platform features and subscriptions will be applied when activating a subscription or other Lambda feature. {% hint style="warning" %} View below, the various lock-up epoch periods and potential for holders. {% endhint %} ### 90-day Lock 90-day lock up period, discount + rebate multiplier = 1.00x

Tier	LMDA locked	Discount	Rebate	Rebate [per 10 users]	Subscription cost
0	$0	0%	0%	$0	$1500
1	$100	5%	20%	$2700	$1425
2	$500	20%	25%	$3780	$1200
3	$2,000	30%	40%	$4320	$1050
4	$5,000	40%	50%	$4860	$900
5	$10,000	50%	60%	$5400	$750

*Subsciption cost* = pro annual subscription ### 60-day Lock 60-day lock up period, discount + rebate multiplier = 0.75x

Tier	LMDA locked	Discount	Rebate	Rebate [per 10 users]	Subscription cost
0	$0	0%	0%	$0	$1500
1	$100	3.75%	18.75%	$2025	$1443.75
2	$500	15%	26.25%	$2835	$1275
3	$2,000	22.5%	30%	$3240	$1162.5
4	$5,000	30%	33.75%	$3645	$1050
5	$10,000	37.5%	37.50%	$4050	$937.5

*Subscription cost* = pro annual subscription ### 30-day Lock 30-day lock up period, discount + rebate multiplier = 0.50x

Tier	LMDA locked	Discount	Rebate	Rebate [per 10 users]	Subscription cost
0	$0	0%	0%	$0	$1500
1	$100	2.5%	10%	$1080	$1462.5
2	$500	10%	12.5%	$1350	$1350
3	$2,000	15%	20%	$2160	$1275
4	$5,000	20%	25%	$2700	$1200
5	$10,000	25%	30%	$3240	$1125

*Subscription cost* = pro annual subscription {% hint style="danger" %} For referrers to become eligible for rebates, their referred users must activate LMDA tokens in-app. {% endhint %} ## Locked LMDA flow Locked LMDA will be committed to the Lambda lock-up contract — the address will be available in the [project documentation](http://docs.lambda.markets/) in due course. The LMDA tokens cannot be unlocked before the chosen lock-up period ends. After the specified epoch is over tokens flow back to the user.

## Worked Example — Referral Rebates Trader A has $500 USD of LMDA tokens locked for 90 days. This gives the holder **Tier 2** status and the following benefits: 1. 20% discount on all platform features, including subscriptions. 2. 25% of fee rebates, when another user uses their referral link to activate platform features. ### 90-day Lock

Tier	LMDA locked	Discount	Rebate	Rebate [per 10 users]	Subscription cost
0	$0	0%	0%	$0	$1500
1	$100	5%	20%	$2700	$1425
2	$500	20%	25%	$3780	$1200
3	$2,000	30%	40%	$4320	$1050
4	$5,000	40%	50%	$4860	$900
5	$10,000	50%	60%	$5400	$750

Now for a scenario, Trader A has a friend, named Trader B who is wanting to join Lambda. Trader A suggests that Trader B use Trader A’s referral link for a 5% discount. As Trader A has acquired **Tier 2** status by locking $500 of LMDA tokens, any user that they refer to Lambda will give them a 25% rebate → paid to them in LMDA tokens. Trader B uses Trader A’s referral link and purchases a Pro, annual subscription to Lambda 2.0 → the total cost is $1500 USD and this is paid in LMDA tokens. Trader B activates the LMDA tokens in the vault, this now means that Trader A receives 25% of the $1500 USD in LMDA tokens that were used by Trader B to activate a subscription. > *25% \* $1500 USD = $375 USD → owed to Trader A.* Trader A will then receive $375 worth of LMDA in rebates. Trader A can increase the total % rebate that they receive from referrals by locking more LMDA tokens, according to the tables above 👆