helpmessage | ||
.gitignore | ||
.goreleaser.yaml | ||
cache.go | ||
CHANGELOG.md | ||
channels.go | ||
config.json.sample | ||
config.toml.sample | ||
Dockerfile | ||
format.go | ||
go.mod | ||
go.sum | ||
goreleaser.md | ||
helper.go | ||
info.go | ||
LICENSE | ||
main.go | ||
mission_ctl.go | ||
payment.go | ||
README.md | ||
rebalancer.go | ||
routes.go | ||
screenshot.png | ||
version.go |
Intro
Why even write another rebalancer? Usually, the only motivation is that the existing software doesn't satisfy the developer. There may be different reasons why improving the existing programs isn't something the dev wants. Maybe the language is the problem or architecture. For me there were many reasons including these. Two most advanced rebalancers for lnd are rebalance-lnd (Python) and bos (JS). However, each has something the other one lacks, both have runtime requirements and both are slow. I decided to fix these issues by rewriting the things I liked in Go instead so it can be easily compiled and used anywhere. I also made the output pretty, close to the design of accumulator's fork of rebalance-lnd.
Features
- automatically pick source and target channel by local/remote liquidity ratio
- retry indefinitely until it succeeds or 6 hours pass (by default)
- payments time out after 5 minutes (by default) so if something's stuck the process will continue shortly
- timeouts can be customized
- JSON/TOML config file to set some defaults you prefer
- optional route probing using binary search to rebalance a smaller amount
- optional rapid rebalancing using the same route for further rebalances unitl route is depleted in case a rebalance succeeds
- data caching to speed up alias resolution, quickly skip failing channel pairs etc.
- storing/loading cached nodes information to disk to "warm up" much faster next time you launch the program
- sensible node capacity formatting according to Bitcoin design guidelines (easy to tell how many full coins there are)
- automatic max fee calculation from the target channel policy and preferred economy fee ratio (the amount spent on rebalance to the expected income from this channel)
- excluding your channels from consideration
- excluding any nodes from routing through (if they're known to be slow or constantly failing to route anything)
- using just one source and/or target channel (by default all imbalanced channels are considered and pairs are chosen randomly)
- calculate the rebalance amount automatically from current and desired balance percent
- safety precautions that prevent balances going beyond 50% of channel capacity, can be turned off explicitly if that's what you want
- saving successful rebalance parameters into a CSV file for further profit analysis with any external tools
Installation
You need to have Go SDK installed, then simply run go install github.com/rkfg/regolancer@latest
and by default it will download, compile and
build the binary in ~/go/bin/regolancer
. To crosscompile for other platforms
use GOARCH
and GOOS
env vars to choose the target architecture and OS. For
RPi run it as GOARCH=arm64 go install github.com/rkfg/regolancer@latest
if you
run a 64 bit system (and you should!). You'll find the binaries in
~/go/bin/linux_arm64
. For 32 bit use GOARCH=arm
, the binary will be located
in ~/go/bin/linux_arm
.
Parameters
Config:
-f, --config config file path
Node Connection:
-c, --connect connect to lnd using host:port
-t, --tlscert path to tls.cert to connect
--macaroon-dir path to the macaroon directory
--macaroon-filename macaroon filename
-n, --network bitcoin network to use
Common:
--pfrom channels with less than this inbound liquidity percentage will be considered as source channels
--pto channels with less than this outbound liquidity percentage will be considered as target channels
-p, --perc use this value as both pfrom and pto from above
-a, --amount amount to rebalance
--rel-amount-to calculate amount as the target channel capacity fraction (for example, 0.2 means you want to achieve at most 20% target channel local balance)
--rel-amount-from calculate amount as the source channel capacity fraction (for example, 0.2 means you want to achieve at most 20% source channel remote balance)
-b, --probe-steps if the payment fails at the last hop try to probe lower amount using this many steps
--allow-rapid-rebalance if a rebalance succeeds the route will be used for further rebalances until criteria for channels is not satifsied
--min-amount if probing is enabled this will be the minimum amount to try
-i, --exclude-channel-in (DEPRECATED) don't use this channel as incoming (can be specified multiple times)
-o, --exclude-channel-out (DEPRECATED) don't use this channel as outgoing (can be specified multiple times)
--exclude-from don't use this node or channel as source (can be specified multiple times)
--exclude-to don't use this node or channel as target (can be specified multiple times)
-e, --exclude-channel (DEPRECATED) don't use this channel at all (can be specified multiple times)
-d, --exclude-node (DEPRECATED) don't use this node for routing (can be specified multiple times)
--exclude don't use this node or your channel for routing (can be specified multiple times)
--exclude-channel-age don't use channels opened less than this number of blocks ago
--to try only this channel or node as target (should satisfy other constraints too; can be specified multiple times)
--from try only this channel or node as source (should satisfy other constraints too; can be specified multiple times)
--fail-tolerance a payment that differs from the prior attempt by this ppm will be cancelled
--allow-unbalance-from (DEPRECATED) let the source channel go below 50% local liquidity, use if you want to drain a channel; you should also set --pfrom to >50
--allow-unbalance-to (DEPRECATED) let the target channel go above 50% local liquidity, use if you want to refill a channel; you should also set --pto to >50
-r, --econ-ratio economical ratio for fee limit calculation as a multiple of target channel fee (for example, 0.5 means you want to pay at max half the fee you might
earn for routing out of the target channel)
--econ-ratio-max-ppm limits the max fee ppm for a rebalance when using econ ratio
-F, --fee-limit-ppm don't consider the target channel fee and use this max fee ppm instead (can rebalance at a loss, be careful)
-l, --lost-profit also consider the source channel fee when looking for profitable routes so that route_fee < target_fee * econ_ratio - source_fee
Node Cache:
--node-cache-filename save and load other nodes information to this file, improves cold start performance
--node-cache-lifetime nodes with last update older than this time (in minutes) will be removed from cache after loading it
--node-cache-info show red and cyan 'x' characters in routes to indicate node cache misses and hits respectively
Timeouts:
--timeout-rebalance max rebalance session time in minutes
--timeout-attempt max attempt time in minutes
--timeout-info max general info query time (local channels, node id etc.) in seconds
--timeout-route max channel selection and route query time in seconds
Others:
-s, --stat save successful rebalance information to the specified CSV file
-v, --version show program version and exit
--info show rebalance information
-h, --help Show this help message
Look in config.json.sample
or config.toml.sample
for corresponding keys,
they're not exactly equivalent. If in doubt, open main.go
and look at the var params struct
. If defined in both config and CLI, the CLI parameters take
priority. Connect, macaroon and tls settings can be omitted if you have a
default lnd
installation.
Node cache
Enable the cache by setting --node-cache-filename=/path/to/cache.dat
(or
node_cache_filename
config parameter), you're free to choose any path and file
name you like. It speeds up printing routes and lowers load on lnd in case you
run multiple regolancer instances. If you're not interested in technical
details, feel free to skip the following section.
How this cache works
Node cache is only used for printing routes, it contains basic node information such as alias, total capacity, number of channels, features etc. However, getting this information might be slow as every request to lnd is processed sequentially. The first few routes print noticeably slower until more nodes "around" you are queried and cached in RAM. This information shouldn't be very up-to-date (unlike the channel balances, policies etc. which are retrieved on every launch and are only cached for the run time) and nodes themselves broadcast updates not very often. It makes sense to persist this data to disk and load it on every run so that routes are printed almost instantly, and the payment is only attempted after the route is fully printed. It would be good to run a payment attempt and route print in parallel but currently the payment function can dump errors and it would interfere with the route output.
However, there's a gotcha that I learned from other users of regolancer: people
run multiple instances of it in parallel, so they might terminate at different
times. If all those instances use the same cache file, they will overwrite it
and lose information that another instance might have stored before them, or
they might start writing at the same time and corrupt it. One way to solve it is
to use separate cache files but then each instance would query lnd for the same
nodes as other instances. So instead of this I added file locking (using
/tmp/regolancer.lock
file on Linux and probably %tmpdir%/regolancer.lock
on
Windows, haven't tested) that allows multiple readers but just one writer and
implemented simple cache merging. When it's saved, first we load the existing
cache (under a write lock so no one can access it), copy all nodes that are
missing in our own cache or have a more recent update time, then save the result
replacing the cache file.
There's also the cache expiration parameter (--node-cache-lifetime
) set to
1440min/24h by default that lets you skip cached nodes that are older than that.
It doesn't affect any actual logic, just that these nodes will be queried again
from lnd when they're printed for the first time. Set it to a bigger number if
you don't care about the node stat actuality.
Cache is also saved if you interrupt regolancer with Ctrl+C.
Probing
This is an obscure feature that bos
uses in rebalances, it relies on protocol
error messages. I didn't read the bos
source but figured out how to check if
the route can process the requested amount without actually making a payment:
generate a random payment hash and send it. lnd
will refuse to accept it
(because there's no corresponding invoice) but the program gets a different
error than the usual TEMPORARY_CHANNEL_FAILURE
. Then we can do a binary search
to estimate the best amount in a few steps. Note, however, that the smallest
amount can be 2n times less than you planned to rebalance (where n
is the number of steps during probing). For example, 5 steps and 1,000,000 sats
amount mean that you might rebalance at least 1000000/25 = 31250 sats
if the probe succeeds. You can override this minimum with --min-amount
so that
probing begins with this amount instead and either goes up or fails immediately.
Another problem is that fees can become too high for smaller amounts because of
the base fee that starts dominating the fee structure. It's handled properly,
however.
When enabled, probing starts if the payment fails at the second to last channel. The last channel comes to yourself so you know it's guaranteed to accept the specified amount. If all other channels could route this amount, the only unknown one is that second to last. Then we try different amounts until either a good amount is found or we run out of steps. If a good amount is learned the payment is then done along this route and it should succeed. If, for whatever reason, it doesn't (liquidity shifted somewhere unexpectedly) the cycle continues.
Docker Setup
In general its recommanded to run regolancer in a normal environment because it is so easy to install as mentioned above. However if you want to run it in a docker we also provide the Dockerfile so that you can easily get started.
Build the container or pull it:
docker build -t regolancer .
or `docker pull ziggie1984/regolancer
Now you can use regolancer with your lnd instance:
docker run --rm --add-host=host.docker.internal:host-gateway -it -v /home/lnd:/root/.lnd regolancer --connect host.docker.internal:10009
The above command assumes /home/lnd is your lnd configuration directory. Please adjust as required.
If you want to use a config file either copy the file into the mounted volume (/home/lnd) or mount a separate volume. Then just add the --config /root/.lnd/config.toml
parameter to your start command
Note for Umbrel/Umbrel-OS users
docker run --rm --network=umbrel_main_network -it -v /home/umbrel/umbrel/app-data/lightning/data/lnd:/root/.lnd regolancer --connect 10.21.21.9:10009
Optionally you can create an alias in your shell's environment file like so:
alias regolancer="docker run --rm --network=umbrel_main_network -it -v /home/umbrel/umbrel/app-data/lightning/data/lnd:/root/.lnd regolancer --connect 10.21.21.9:10009"
For older versions of Umbrel please use /home/umbrel/umbrel/lnd
instead of /home/umbrel/umbrel/app-data/lightning/data/lnd
What's wrong with the other rebalancers
While I liked probing in bos
, it has many downsides: gives up quickly on
trivial errors, has very rigid channel selection options (all should be chosen
manually), no automatic fee calculation, cryptic errors, weird
defaults and
ineffective
design. It can
also unbalance another channel, there are no safety belts. It might be okay if
you absolutely need one channel to be refilled no matter the cost but if you
want your node to be profitable you have to account for every sat.
Rebalance-lnd is much better for automation but it still can't choose multiple source and destination channels and try to send between them. You have to select one source and/or one target, the other side is chosen randomly, often only to discard a lot of routes because of too high fees (this constraint can be specified while querying routes but it isn't). The default route limit is 100 so you either have to increase it or restart the script until it succeeds. I noticed multiple times that it concedes after 20-30 attempts saying there are no more routes but after restart still finds and tries more. It also lacks probing, consumes quite a lot of CPU time sometimes and I personally find Python a big pain to work with.
Why rebalance at all
I'm still a bit torn on this topic. At some points in time I was a fan of rebalancing, then I stopped, now I began again. I guess it all comes with experience. LN is still in its infancy and when the network is widely available and used on daily basis rebalancing won't be needed. But today we have a lot of poorly managed nodes (especially the big ones!) with default minimal fees and more experienced nodes quickly drain this liquidity only to resell it for a higher price. If a node has hundreds or thousands of channels with zero liquidity hints it becomes very hard to balance such channels. It essentially boils down to a bruteforce which is exactly what this program does. It seeks the network for liquidity that's cheaper than your own and moves it to you.
For now some liquidity can be just dead. Even if you set 0/0 on a full channel you see no routing through it. Because it's the opposite direction that everyone wants. So you have to move it manually, getting incoming liquidity to sell for some other outbound liquidity you have. And when you run out of it you need to refill the channels using that dead liquidity. In the future, hopefully, the daily network activity will do this job thanks to circular economy. Today it's not yet the case.
However, there's not much point in rebalancing all the channels. See which are empty for weeks and consider them as candidates. From my experience, you might have a few channels that can be drained very quickly if the fee is too low. They are channels to exchanges and service providers, sometimes other big nodes that consume all liquidity you throw at them. That's your source of income, basically. These channels should be added to exceptions in your config so they're never used as a source, even when they match the percent limit.
How to route better
By all means, use charge-lnd. Your goal is to minimize local forward failures. It can be achieved with fees and/or max HTLC parameter. You can try to move the dead liquidity with 0/0 fee before doing rebalance. You absolutely should discourage routing through empty channels. Best way is to set max_htlc on them so they're automatically discarded during route construction. You can also disable them (it only happens on your end so you'll be able to receive liquidity but not send it) but it hurts your score on various sites so better not to do it. Increase fees or lower max_htlc and you'll be good. You can set multiple brackets with multiple limits like:
- 20% local balance => set max_htlc to 0.1 of channel capacity (so it can process ≈2 payments max or more smaller payments)
- 10% local balance => set max_htlc to 0.01 of channel capacity (small payments can get through but channel won't be drained quickly)
- 1% local balance => set max_htlc to 1 sat essentially disabling it
Same can be done with fees but if you decide to rebalance, watch out: you might
spend a lot on rebalancing if your empty channel sets 5000ppm fee but after it
gets refilled it switches back to regular 50 or 100ppm. You'll never earn that
back. Learn how charge-lnd
works and write your own rules!
Goals and future
It's a small weekend project that I did for myself and my own goals. I gladly accept contributions and suggestions though! For now I implemented almost everything I needed, maybe except a couple of timeouts being configurable. But I don't see much need for that as of now. The main goals and motivation for this project were:
- make it reliable and robust so I don't have to babysit it (stop/restart if it hangs, crashes or gives up early)
- make it fast and lightweight, don't stress
lnd
too much as it all should run on RPi - provide many settings for tweaking, every node is different but the incentives are the same
- since it's a user-oriented software, make the output pleasant to look at, the important bits should be highlighted and easy to read
Feedback and contact
We have a Matrix room to discuss this program and solve issues, feel free to join #regolancer:matrix.org!