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Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•1m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•3m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•3m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•7m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•9m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•10m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•17m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•18m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•23m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
4•mooreds•24m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•25m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•26m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•31m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•33m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•33m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•33m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•35m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•35m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•36m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•37m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•42m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•43m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•44m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•45m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•46m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•47m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•49m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•49m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•49m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•50m ago•1 comments
Open in hackernews

Trading Bot on Bybit Exchange: Greedy Recursive Arbitrage

3•vladimir_spirin•5mo ago
Strategy: Rebalance investment allocation between tokens through complex arbitrage directions. What is an arbitrage direction? Complex arbitrage occurs within a circle of tokens. By the nature of a circle, money can return to the initial token after a sequence of transactions, where the starting token can be any token in the circle. There are two directions to return to the initial token: forward and backward. If one direction is profitable, then the other is definitely not profitable. Let's define an arbitrage circle as a sequence of vectors, where each vector has its profitable direction. Technically, a vector is a trading pair with a direction/side and circle ROI%. A set of profitable circles can be broken down into profitable vectors. Some vectors repeat across different profitable circles. Let's find the best vectors! What does "best" mean? It is a combination of the frequency of appearing in different profitable circles and the ROI% of the circle to which it belongs. I found that a weighted-mean metric is effective for measuring both criteria: - Risk - Profit Executing only the best vector trades provides guarantees based on complex arbitrage analysis. There are different strategies for using the best profitable vectors in the market. My bot executes vectors on pairs where I have money allocated. An interesting aspect is that money allocation is managed by executing vectors from the first token I deposit to the exchange. Money splitting and joining happen automatically according to market price differences. This strategy is also good for holding investments. There were some days when I didn't find profitable vectors from ETH. I made 0 trades, and it was the right approach because, due to market conditions, the best approach was to hold ETH.

Comments

skvmb•5mo ago
This is interesting! Is this on Github or, if not, care to share the implementation or even pseudocode?