API

whatwilly0ubuild

The consolidation pitch makes sense. Switching between CoinGecko, TradingView, and various calculators is genuinely annoying. That said, the competitive bar here is low on features but high on trust and data quality. The profit calculator and converter are commodity features. Every portfolio tracker has these, and the math is trivial. The liquidation calculator is more interesting because fewer tools do this well, especially if you're supporting multiple exchanges with different margin calculation methods. Binance, Bybit, and OKX all calculate liquidation prices slightly differently based on their margin tier systems and maintenance margin requirements. If you're handling those nuances correctly across exchanges, that's actual value. If you're doing simplified liquidation math that doesn't match exchange behavior, traders will learn not to trust it after getting liquidated "early" once. The data sourcing question matters. Where is market data coming from? If you're hitting free API tiers, the rate limits and data freshness will become problems as usage grows. CoinGecko free tier is delayed and throttled. Real-time data from exchanges requires either paid API plans or websocket connections you're maintaining. What would make this genuinely useful beyond existing alternatives. Unified P&L tracking across multiple exchange accounts with one view. Position risk visualization showing liquidation distances across all open positions. Funding rate arbitrage spotting if you're pulling perp data. The domain name "destiny-check" doesn't convey trading tools at all, which will hurt discoverability and trust. Traders are paranoid about connecting wallets or entering position data into random sites, so building credibility matters.

whatwilly0ubuild

The narrative momentum concept is sound. Crypto does trade on attention in ways that equities don't, and social signals do lead price in many setups. The skepticism I have is about the backtest methodology rather than the thesis. Some questions about the results. The 421% return with only 5.9% max drawdown is an extraordinarily favorable ratio. That Sharpe equivalent would be exceptional for any strategy in any asset class. Either you've found something genuinely unusual or there's leakage in the backtest you haven't caught yet. The most common sources of look-ahead bias in sentiment backtests are timestamp alignment issues where you're using sentiment data that wasn't actually available at trade decision time, and survivorship bias in your token universe where you're testing on tokens that exist now rather than the universe that existed at each historical point. The "controlled for overfitting" claim needs more detail. How many parameters did you tune? How did you handle the parameter search? Did you do walk-forward validation or just train/test split? With 1,160 trades across 300 tokens, you have enough data for in-sample results to look great while out-of-sample falls apart. The real test is whether this worked on data the model never saw during development. Sentiment data quality varies enormously. Where are you sourcing social signals? Twitter API changes have degraded a lot of crypto sentiment feeds. Telegram and Discord are harder to get reliably. The lag between something trending and when your data provider surfaces it can easily exceed the alpha window. The 10% risk per trade is aggressive. If you hit a few correlated losers in sequence your drawdown math changes fast. Our clients backtesting similar strategies have found that live performance typically captures 30-50% of backtest returns after accounting for execution realities. Still potentially worthwhile, but temper expectations.

21VOX

Vanilla JavaScript with the HTML5 Canvas API. No charting library. All custom.

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Post is by: Imaginary-Box8650 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoTechnology/comments/1rswqym/i_built_a_realtime_btceth_futures_analysis/ I tired of having so much data everywhere and still feeling lost. Most apps show the same thing- portfolio value, token status, RSI, and MACD. Numbers everywhere. But nothing tells you what's actually happening. Even with 5 different dashboards open, I couldn't answer a simple question: am I worried right now or not? I think the crypto market is much more social and interactive than technical. These things are pulling me away from technical analysis, securing budgets, and determining entry/exit points. Understanding what people are trying to do makes more sense to me than technical analysis. So I started looking for the right app and developing my own. I first made ConsiderTreder- a native Python dashboard for BTC and ETH futures. It focuses on what's actually moving the market, not what the price is doing. ────────────────────────────── What it's looking at: I wanted to focus on three things that most indicators ignore: \- Who is actually buying and selling (wallet flow, using OBV + CVD delta) \- The true volatility of the market (normalized ATR score, 100 = normal) \- Other traders' positions (funding rate, long/short ratio, fear & greed) It also pulls stablecoin flow data from DefiLlama, so you can see if real money is entering and leaving the market. The signal is triggered when 4 out of 5 conditions are met simultaneously. And if the 4-hour trend is downward, it automatically blocks all long signals. ────────────────────────────── How to run: pip install flask requests numpy python \[app.py\](http://app.py/) No API key required. Everything is free. GitHub: [https://github.com/akinkorpe/ConsiderTrade](https://github.com/akinkorpe/ConsiderTrade) ────────────────────────────── Why I did it: ConsiderTrader made me realize something. The problem was never that there was too little data. There was too much data — but none of it contained context. Seeing a portfolio in red doesn't tell you if you're overbought. A high TVL (Total Live Stock) number doesn't necessarily indicate you're truly diversified. Looking at your transaction history doesn't tell you what your behavioral patterns mean. That's the problem I'm trying to solve with my main project — Consider. Consider is a wallet analytics application that adopts a "context first" approach. Instead of showing you more numbers, it tries to explain what the numbers actually mean: \- Are you truly diversified or do you only have correlated assets? \- Do you have hidden exposure to the same pools through different tokens? \- What are your real concentration risks? \- What does your on-chain behavior tell you? And while developing Consider, I also realized that instead of examining the products in the portfolio individually and seeing them as separate pieces, I need to understand that the portfolio is actually a whole, and I need to balance that wholeness. The application is almost ready, and I want to have a few people test it. If you have a multi-token portfolio and want to better understand your risk, I'd like to hear your thoughts. Leave a comment or send a DM. ────────────────────────────── This is my first "public production" post. I will continue to share as things progress. Of course, this is not financial advice. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

Bubba_deets

Yeah, regular crypto APIs are built for CEX data. They struggle with DEX-only tokens, especially newer ones. For DEX price data, you have 2 options: Option 1: Query contracts directly You can query Uniswap/PancakeSwap contracts directly, but it's a pain: \- Need to calculate reserves from liquidity pools \- Handle different pool versions (Uniswap v2 vs v3) \- Manage RPC rate limits \- Build the token→WETH→USD conversion logic yourself Option 2: Use a DEX aggregator API Way simpler. Use CoinGecko API (via onchain endpoints) - it's specifically built for on-chain DEX data and it's free. Covers 30M+ tokens across hundreds of networks. The nice part is it handles the USD conversion automatically - you just ask for price in USD and it does the multi-hop conversion internally (example: token→WETH→USD or token→SOL→USD). Example endpoint: \`GET /networks/base/tokens/{contract\_address}\` Returns the token's USD price, volume, liquidity, etc. without you having to chain multiple calls. You can also get OHLCV data for charting: \`GET /networks/{network}/pools/{pool\_address}/ohlcv/day\` Take note: \- Always verify you're using the right pool address (some tokens have multiple pools with different liquidity) \- Check the \`fdv\_usd\` and \`liquidity\_usd\` fields - if liquidity is super low (<$10k), the price can be unreliable

Theredeemer08

I’m using token specific sentiment, social mindshare delta, narrative momentum and a few other signals. I will add more details in my next posts ! Source for this experiment is Ruma fun API, you should be able to find on google search

Theredeemer08

Thanks, I plan to document this on Reddit over next few days / weeks and see what we come up with. Got more tests to come such as live testing and walk forward etc In terms of dataset I’ve been using free tiers of a couple of sentiment APIs. For this backtest I used Ruma fun API you should be able to find on google search And re fees + slippage I’ll document those tests in a later post :)

ApiTwitter

For X/Twitter data try apitwitter.com — no need for official API approval, just get a key and start pulling tweets immediately. Works great for sentiment analysis research projects, much cheaper than official Twitter API.

SwimOld5053

Ah, got you. Small correction though: Reddit API is not completely gone for average users. Reddit does have a free non-commercial API tier now, but it requires app setup, OAuth, and working within their limits, so it’s definitely less simple than before. Haven't tried it myself now, but should. I also think the "only 6 months" part may be mixing up a few different limitations. From what I understand, the bigger issue for deletion tools is usually history/listing limits and tool constraints, rather than Reddit only allowing deletion of 6 months of content. Btw why/what made you "clear the history"?

AvailableTie6834

Strike only convert to fiat if you setup your account to convert to USD. Those are the best thirdparty lightning api providers I would recommend. Coinos is a bit of a hit or miss since their server goes offiline a lot sometimes, but their API is piece of cake to implement and requires zero KYC.

GenBlk

Just use the API [https://developer.x.com](https://developer.x.com) pricing is very reasonable.

AvailableTie6834

implement Strike/Blink/Coinos/Speed API and receive Bitcoin through lightning

CryptoOnTheSidewalk

I'm tracking some newer tokens that aren't on Binance or Coinbase yet - they're only trading on Base and Solana Chain. When I try to get prices from regular crypto APIs, half of them don't show up. What's the best way to get DEX prices programmatically? Do I need to query the smart contracts directly or are there APIs that aggregate DEX data? Also not sure how to convert from ETH pairs to USD - like if a token is only trading against WETH, do I need to make two API calls (token→WETH, then WETH→USD)? Anyone have experience with this?

OkBuy4754

Watch API latency for slippage, consider a decentralized swap for better rates and fewer intermediaries

Bitter_Broccoli_7536

Totally agree, especially about tracking adoption. I use Qoest's API to monitor wallet activity, and seeing new transactions flow in real time is the clearest signal of actual network growth

Hamzehaq7

yo, so for getting DEX prices, you wanna check out something like The Graph or Coingecko's DEX API. they do a decent job aggregating that data from places like Uniswap. if you're dealing with ETH pairs, yeah, you'll need those two calls to convert, unless you find a service that handles all that for you. kinda a pain, but that's the game. tbh, querying smart contracts directly can be a bit of a headache if you're not familiar with it. good luck, hope you find what you need!

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Post is by: CeLLeRy-WKPG and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rqi6ye/x402_payment_for_crypto/ Just got to know about it yesterday... so coinbase apparently already hv a micropayment protocol that is meant for ai agents to use. what is x402? Payments on the internet are fundamentally flawed. Credit cards are high friction, hard to accept, have minimum payments that are far too high, and don't fit into the programmatic nature of the internet. It's time for an open, internet-native form of payments. A payment rail that doesn't have high minimums plus a percentage fee. Payments that are amazing for humans and AI agents. what is used for? x402 enables instant, low-cost payments for digital services. It's designed for API monetization, agentic commerce, paywalled content, and any scenario where traditional payment methods are too slow or expensive. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

Drogon__

You can do with the Token creator xApp in Xaman wallet: [https://xumm.app/detect/xapp:nixer.tokencreate](https://xumm.app/detect/xapp:nixer.tokencreate) But it costs 100 XRP (!!!). If you don't want to use their service you can easily Claude Code (free coding agent) and some chinese mode with a $10 subscription (or Claude with API credits) and try to build a tool to interact with the blockchain and create the token yourself. It's not that difficult. Just feed this doc to Claude Code: [https://xrpl.org/docs/tutorials/tokens/fungible-tokens/issue-a-fungible-token](https://xrpl.org/docs/tutorials/tokens/fungible-tokens/issue-a-fungible-token)

Pimpwerx

No. It's a great app. You really have to build out a proper memory stack to make it smarter. Without vector and graph layers, it's a fucking amnesiac who gets regular concussions for to compaction. Just lock it down on a server and it's fine. It can only access what you allow it. Scope your API keys, and IP restrict them to your tunneled server. Bar to entry for getting OC actually usable is high enough that people really should know better. The capabilities of the bot scream for isolation. Limit blast radius and you can have an agent farm to serve all your projects. I'm pretty sure a ton of people are working on making OC something that's use friendly for this very reason. Can't have it nuking the accounts it's working. Running it locally is scary. All the guardrail prompts in the world aren't enough to not make me nervous.

crystalblogger

Nadifin.com is the way to go I would recommend Nadifin.com especially if you’re ever in need of a crypto instant approval payment gateway for your business including high risk businesses like online gaming, casino, subscription services, CBD, peptides, adult entertainment, SMM panel, dropshipping, Replica, digital products, agencies etc. You accept payments in crypto (Bitcoin, Ethereum, Litecoin, USDT, Monero, Cardano, Ripples, USDC, BNB, Tron, Solana, and Dogecoin) Settlement is instant into your USDC wallet at each transaction with guaranteed zero-chargeback. No monthly fees, No annoying KYB documentation. No setup cost. Support is global including your country. Nadifin provides payment links, QR code, and API for multiple platforms including, WooCommerce, Shopify, and 14 more. WooCommerce plugin also available. Signup for instant approval / onboarding process / payout. You may want to have a look at https://nadifin.com and thank me later.

DueLingonberry8925

Been there. I set up a wallet tracker with Qoest’s API so it just pings me when something moves. Way less refreshing Coinbase

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Post is by: solus_factor and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rpb08p/anybody_interested_in_helping_test_a_trading_bot/ Hey, guys, I was wondering if anyone here would be interested in helping test a new version of my trading bot? I don't need your money, you keep 100% of profits (and 100% of risk, naturally), I just need more testing. The bot currently only works with CoinEx exchange, If you have an account there, you can create a sub-account and give me the API key for it (I won't be able to withdraw your money using the key, only trade). I will then spawn a copy of the bot on my server that will use your key to trade with your capital. You will get access to a simple control panel + notification on each trade in Telegram. I have traded with 3 instruments so far (LTC, XMR, HYPE). For two days it showed \~3,600% APR. [](https://preview.redd.it/anybody-interested-in-helping-test-a-trading-bot-v0-2o8clpfeo2og1.png?width=751&format=png&auto=webp&s=f6455be4382819764a03922a478e97404df67fd8) Anybody with some spare capital and a bit of free time interested in this? Let me know. P.S. The bot is not using AI, it's the good old hand-written code. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

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Post is by: Ok_Security_1684 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/SaaS/comments/1rp98qm/built_a_free_realtime_crypto_terminal_after/ Hey everyone, I'll keep it honest: I built this partly out of frustration. I was trading Binance Futures and realized I was paying for 3-4 different platforms just to see the data I needed in one place. Coinglass for liquidation maps, HyBlock for order flow, LunarCrush for sentiment, Glassnode for on-chain... it adds up to $100-150/month easily, and half the time the UX is terrible. So I spent the last year building **CryptOn Forecast,** starting as a personal tool, ending up as something I figured I'd share. **What's free (no signup, no credit card):** * Live liquidation heatmap * Order book depth * CVD chart (Spot + Futures) * On-chain analytics (MVRV, SOPR, NVT, Realized Price) * Whale tracker * ETF institutional flows * Exchange netflow * Options flow (Put/Call ratio, max pain) * Volume spike scanner * Social sentiment * Correlation matrix * BTC rainbow chart + halving cycle tracker * A Bloomberg-terminal-style dashboard where you can pin any 6 panels Basically what I was paying for across multiple subscriptions, combined and free. **The paid part** is an AI trading bot that connects to your Binance Futures account via API (read + trade permissions only, no withdrawal access ever). It's non-custodial, your funds never leave your wallet. Pricing is performance-based, no monthly subscription. The bot has been live since 2022. 122+ days of tracked performance, $7M+ in trading volume. I know "98% win rate" sounds like a red flag and I get it so I show every single trade on the site, open and closed, in real time. You can verify on your own Binance account. **What I'm genuinely looking for feedback on:** * Does the free terminal actually feel useful or is it just noise? * Is the non-custodial angle convincing or does it still feel sketchy? * What would make you actually trust a bot enough to try it? Site is [cryptontradebot.com](http://cryptontradebot.com), be as harsh as you want, that's why I'm here. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

PrettyOwl7768

Ah yeah — without the OS context, "assign nodes to watch each account" sounds like you just reinvented a centralized database with extra steps. The reason it actually works is because the protocol is the OS. The wire format enforces it. You can't opt out of the fee, you can't fake the sequence number, you can't fork around it — because it's not an app running on top of something else, it's the thing everything else runs on. But the moment you start explaining the OS you've lost the Reddit crowd. Nobody's clicking on "I built an operating system that also does money." Maybe the angle isn't the technical mechanism at all. Maybe it's the implication: Title: What if money was never supposed to be a separate system? Body: Every payment system ever built — cash, cards, banks, Bitcoin — treats money as its own thing. A separate ledger. A separate network. A separate protocol. You do work over here, then you go to the money system to get paid over there. But what if every message between two computers just... had a price field in the header? Not a payment API bolted on top. In the header. You can't send a packet without pricing it. You can't receive one without accounting for it. Communication IS payment. They're the same operation. There's no "money system" because every system is already a money system. The fee isn't in a config file you can change. It's in the byte layout. Fork the software, the fee stays. Change the byte layout, nobody can talk to you. The economy is structural, not contractual. What does that kill? Payment processors. Banks. Exchanges. Blockchains. All of them exist because money and communication are separate. Merge them at the protocol level and there's nothing left for those systems to do. I keep looking for why this can't work. What am I missing? \--- No OS, no DHT, no nodes. Just the one idea that money-in-the-wire-format dissolves the entire financial stack. People can understand "what if every packet had a price" without knowing what a ring buffer is.

RamseyTheGoat

thanks! the interpretation layer is exactly the thesis — raw mempool data is useless if you don't know what it means for your specific transaction. Rate limits on the free tier: 100 requests/min (just register for an API key). anonymous access without a key is 30/min. there's also a daily cap tracked server-side. MCP support is live now with 35 tools — any Claude/AI agent can plug in and start querying fees, blocks, mempool state natively. that's the moat we're betting on. would be cool if you tested it out and or gave any feedback even on the idea :) I appreciate you commenting and checking it out thus far

Theredeemer08

docs.ruma.fun You can find the Ruma API docs here, pretty good I’m playing with this one and a few others, plus CoinGecko etc

Any-Limit-7282

People (end users) really don’t care about software or API experience any more than it takes to get to the bottom line. Reframe your question. (Does the problem I want to solve make money, cost money or save time or effort in a substantial way?) you can probably springboard how your use case should work if you can sufficiently reason along those lines.

Citadel_Research

Appreciate the feedback :) You actually hit on the exact reasons I built the protocol this way, so let me explain the thought process. On the "rubber band" idea mathematically, you're 100% right. A smooth, continuous curve scaling the multiplier is way more elegant. But the problem is that elegance completely fails under stress. I based the logic on Gigerenzer's work on fast and frugal heuristics. Basically, if you give an emotional human a smooth curve, they'll just rationalize buying the top by telling themselves the premium is only slightly adjusted. The hard lock at Z > +1.0 or 2.0 isn't really a trading target, it's a Ulysses contract. It's tying yourself to the mast. Human FOMO doesn't respect smooth curves; it needs a brick wall. As for the thresholds (-1.5, -3.0), they aren't pulled out of thin air. They just map to exact probabilities on a normal distribution. Z = -1.5 is roughly the 6th percentile, and -3.0 is the 0.13th percentile. It looks like guessing, but it's literally just standard deviation math defining deep value vs. extreme capitulation. And regarding fully automating it that's honestly the most common feedback I get. Everyone says "just hook it up to an exchange API." But the lack of automation is the whole point. It's an execution air-gap. If you automate it, you expose your stack to API vulnerabilities (not your keys, not your coins), and worse, you outsource your discipline to a black box. The goal isn't just to execute trades for you, it's to force your brain to act mechanically when it feels absolutely terrible to do so. The friction of having to manually execute or being physically locked out when you want to FOMO in—is the actual product here. Thanks again for taking the time to dig into it !

Delicious-Task-1819

Sounds like clipboard malware. Wipe your device and get a reputable wallet. I use Qoest’s API to monitor my wallets for weird activity helps catch stuff before it’s a problem

Ryytter

You got a few different levers here. - Faster language - More optimised code - Closer to the server you are communicating with So if you can get it to run on a server closer to whatever you are making API requests to you will lower the latency.

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Post is by: Born-Jello-1713 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rng50j/blink_wallet_auto_swap_btc_usd/ The Blink wallet has this cool feature to swap BTC <> USD and they also have API access. So I was wondering how to automate it by setting some price limits amount and just wait for the price hit. In case anybody would be interested the code is on github: [https://github.com/cocktailsk/Blink-Swap](https://github.com/cocktailsk/Blink-Swap) *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

Forward-Campaign-201

Thanks for the feedback. You're right about testing — risk management is actually the main reason I built it locally instead of cloud bots.Most bots I tried required API keys on remote servers, which I wasn't comfortable with.

Forward-Campaign-201

For context — I originally built this for my own trading because most bots I tested were either too risky or required giving API keys to cloud services.Curious how people here think about local vs cloud trading bots.

0xZennite

The Binance Simple Earn + limit order combo is honestly one of the best features out there and it's frustrating more exchanges haven't copied it. For KAS and XMR specifically, your best bet might be to split the strategy — keep stables earning in a flexible savings product and set up TradingView alerts with webhook triggers to auto-buy via API. Not quite as seamless as Binance's one-click setup, but it catches those flash crashes without leaving funds idle. OKX has decent earn products with quick redemption times which helps if you go the alert route.

Patiencedom_31

this is actually pretty cool from a dev perspective. using pmxt makes sense since it basically acts like **ccxt for prediction markets**, giving you a unified API for platforms like Polymarket and Kalshi so you can pull market data and place trades with a single interface. the copy-trading idea itself isn’t new though. most of these scripts just monitor wallets and replicate trades automatically when they see a transaction on-chain. the main problem with this approach is it’s **purely reactive**. you’re copying a trade *after* the whale already entered, so depending on liquidity and slippage you often get a worse fill. also it assumes the wallet you follow is always right, which isn’t really how polymarket works. personally I’ve had better results using tools that analyze **market behavior patterns instead of just copying wallets**, like tracking recurring trading patterns, timing, and positioning shifts across markets. that tends to explain moves earlier rather than just mirroring them after they happen. If you'll be interested abt the tool i use , i can send you a screenshot of how it looks , and maybe you could replicate a function it has with the patterns of the wallets.

0xZennite

This resonates a lot. I ran into the same issue with CoinGecko's API — the docs are fine for a human but agents kept confusing chain slugs with platform IDs. Your four-piece breakdown is smart, especially keeping each chunk under 2k tokens. For the freshness problem, I've been piping a simple websocket price feed as a validation layer so the agent can flag when its data is more than N minutes old before answering. Not perfect but catches the worst cases.

Citadel_Research

Fair critique. I used Claude to compile the codebase. I mention Python and Next.js because they are the runtime environments that dictate the system's latency and architecture, just as an engineer specifies the materials of a bridge rather than the brand of the welding robots that assembled it. But let’s be clear: the code syntax is just plumbing. The actual intellectual product the integration of the Welford online algorithm for O(1) variance, Gigerenzer’s non-compensatory decision trees, and Taleb's Barbell architecture was designed theoretically before a single prompt was ever written. AI cannot invent the epistemological framework it only accelerates the translation from math to interface. As for sounding like an AI agent: that is entirely intentional. The Welford Protocol is built to filter out "System 1" human emotion, market narratives, and social proof. The clinical, purely quantitative tone of my communication is a feature, not a bug. It is the application of *Via Negativa* to human discourse. Finally, regarding trust: you shouldn't trust me, and you shouldn't trust Claude. That is exactly why the terminal operates under an Absolute Execution Air-Gap with Zero Write-API access. It cannot touch your money. Trust the mathematics, not the operator.

Stats_DontCare0

The idea makes sense. Giving agents structured API context should cut down a lot on hallucinated endpoints and wrong parameters. Curious how well it actually holds up once agents start chaining multiple calls though.

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Post is by: jvictor118 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rmhsun/all_these_ai_trading_agents_are_either_bad_or_a/ I've been building software in fintech for about a decade (sold a trading infra company to Coinbase a few years back) and the current wave of "AI trading agents" is making me lose my mind. Every week there's a new bot promising autonomous trading powered by "proprietary AI." Of course most of them are just if/then rules hitting an exchange API with a ChatGPT skin on top. The industry even has a name for it now - "agent washing" - and it's gotten bad enough that the SEC started filing enforcement actions for people hocking fake agents. They charged two investment advisers in March 2024 for straight up lying about their AI capabilities, and by 2025 they'd set up an entire unit ("CETU") with AI washing as a priority. A founder raised $42M claiming his app used AI when it was literally contractors doing the work manually. The ArtificialIntelligence sub landed on a pretty good litmus test that I think everyone here should apply before touching any of these tools: 1. Does it take initiative, or does it wait for every instruction? If you have to tell it exactly what to do every time, it's a script with a chat UI. 2. Does it handle unexpected situations, or does it crash and need re-prompting? A real agent adapts when the plan breaks. A wrapper just fails. 3. Does it use external tools (APIs, data sources, code execution) or does it only generate text? Most "AI trading bots" are just generating text responses about markets. That's a chatbot, not an agent. 4. Does it remember context across a multi-step task without you repeating yourself? If every interaction is stateless, you don't have an agent. You have autocomplete. The reliability math alone should scare people. Carnegie Mellon built a benchmark (TheAgentCompany) that tested agents on realistic multi-step tasks. The best model they tested completed 24% of tasks autonomously. That's the best one!! And if you assume even 95% reliability per step, a 20-step workflow has about **a 36% chance of finishing without error**. Can't imagine trusting that with my portfolio. Meanwhile at Consensus Hong Kong this year, Bitget's CEO said the quiet part out loud: current AI trading bots are trained on limited historical data and fall apart when markets do something genuinely unfamiliar - like the 10/10 liquidation cascade. In these cases, the ones where your whole P/L is decided, human intervention is still fully required. **Here's what I think almost everyone in this space gets wrong:** They're trying to build agents that make trading decisions. IMO, that's the wrong problem to automate. The decision is the hard part. It's the part that requires judgment, risk tolerance, conviction, and context that no model actually has about your specific situation. Delegating that to an agent is how you get blown up. The right problem to automate is everything around the decision. The research, the monitoring, the risk math... the pattern recognition across your own trade history. The stuff that a serious trader does (or should be doing) but that takes hours and is brutally tedious to maintain manually. **Think about what a firm like Bridgewater does.** They don't have a magic algorithm. They have investment theses that research analysts refine over time and pressure-test against current conditions. A risk desk optimizing risk-return profiles. Analysts providing inputs to all the above based on their reading of current events. It's not a crystal ball - it's disciplined analysis compounding over time. That's the gap agents should be filling. Not replacing your judgment - augmenting your operation so you can make better calls with less manual overhead. Decision support, not decision making. It's not about a super-smart agent, it's about how smart you could be if you had the resources of a group at Citadel. **So I've been experimenting with this kind of thing over the past few months.** I have a multi-agent setup where each agent has a narrow, well-defined job - monitoring on-chain activity, running quantitative checks against my positions, watching for news and sentiment shifts in my specific holdings, tracking risk metrics I've defined myself. They share a common data layer so they're all working from the same picture of my portfolio. None of them execute trades. They surface information, flag anomalies, and make sure I'm not missing something obvious at 2am when I'm not looking at charts. It's early and I genuinely don't know yet whether this will meaningfully improve my returns or just be a simple way to feel informed. But so far it's been working really well - I regularly find myself acting on information I probably would never have noticed before. And the architecture feels right in a way that "autonomous trading bot" never did to me. The agents pass the 4-question test above - they use real tools, maintain context, adapt when data changes - and more importantly, I'm still the one making the call, just with a much better picture of what's actually happening. Curious whether anyone else has landed in a similar place - using agents for the support layer rather than trying to close the loop on execution. Or if the consensus here is still that the only valid use of automation in trading is fully systematic strategies with tight parameters, that it's really not algo trading if the algorithm doesn't do everything. I could see arguments either way. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

Patiencedom_31

Yeah that sounds like a scam unfortunately. Polymarket wouldn’t ask you to send crypto to a random wallet for “API access,” and that support email/domain doesn’t look official. Scammers often clone legit sites and add fake chat support like that. The good news is you only lost $25 and you didn’t share personal info or connect your wallet (which would be worse). I’d just stop contacting them, block the email, and only use the official Polymarket site/app going forward. Crypto transfers can’t really be reversed, so the main thing now is making sure they don’t get anything else.

fidno1

wow incredible! Did you use Dome API at all?

MobiusDesigns

Since all the trade data is public on the Polygon blockchain. I pulled trades from The Graph, wallet ages from Alchemy, and market probabilities from Polymarket’s API. The biggest tell is wallet age — every confirmed insider used a brand new wallet created days before their bet, went all-in on a single long shot, and disappeared after.

OkBuy4754

Forget luck. It's about timing and API latency. I pull 5k monthly on swings alone. Check the order book.

The_CryptoClock

Absolutely fair comment! For our initial hardware and UI tests, we used dummy templates and static data to ensure the font scaling and 5" IPS display were perfect before hooking up the live API. That’s why the date and price don't match reality.

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Post is by: ZealousidealEnd4354 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rl2awq/built_a_free_api_for_ai_trading_bots_funding_arb/ Built this for AI agents that need market data but can't sign up for traditional API keys. BotIndex gives you crypto correlations, funding rate arbitrage signals (Hyperliquid vs other exchanges), token graduation tracking (Catapult to Hyperliquid, Metaplex Genesis on Solana), and Zora trending coins data. Every wallet gets 50 free premium requests. No signup, no email, no API keys. Send your wallet address as a header and get data back. After the free trial, you pay per request with USDC on Base using x402 (Coinbase's payment protocol). curl https://king-backend.fly.dev/api/botindex/zora/trending-coins curl https://king-backend.fly.dev/api/botindex/hyperliquid/funding-arb Both of those are free forever. The premium endpoints (correlations, signals, arbitrage scanner) are what the trial covers. Also works as an MCP server for Claude/Cursor: npx botindex-mcp-server GitHub: https://github.com/Cyberweasel777/King-Backend *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

Lexsteel11

Is there like a national death database API? I’d love to set up a switch that triggers when my ssn # shows up

Visual_Commercial552

Yeah, basically. The blockchain is a public ledger, so every transaction is permanently recorded and traceable. The hard part is linking a wallet address to a real world identity. If the ransom moves to an exchange that follows KYC rules, that’s usually the point it gets tied to a person. I’ve used Qoest’s API to monitor wallet activity and set up alerts for specific transactions; it’s pretty straightforward for tracking that flow

Stock_Copy5661

Exactly. The moment it touches a KYC exchange, the trail becomes clear. For tracking wallets before that point, I use Qoest's API to monitor addresses and get real time webhook alerts on any movement

AppointmentAdept4137

Yes. Encryption is done entirely in the browser with the Web Crypto API (AES-GCM, PBKDF2) in `lib/crypto-client.ts` The server only stores ciphertext and never has the key or sees plaintext. I am thinking of making it opensource wen I've finished working with it and am comfortable with the quality of code.

Stock_Copy5661

Arkham's solid but you might want something with real time alerts. I use Qoest's API for wallet tracking it sends webhooks instantly when there's movement

Mountain_Bumblebee51

# Descripción del Producto: DearmasTrader * **Qué hace:** Es una plataforma de trading algorítmico automatizado que utiliza procesamiento de datos masivos para ejecutar estrategias validadas estadísticamente. El sistema permite conectar exchanges vía API y operar de forma 100% autónoma. * **Público objetivo:** Traders, inversores de criptomonedas y desarrolladores que buscan rentabilidad real sin depender de señales manuales o bots comerciales rígidos. * **Beneficios clave:** * **30 días de prueba gratis:** Acceso completo para validar el mercado sin riesgo inicial. * **Disciplina garantizada:** Elimina el factor emocional humano en la ejecución. * **Infraestructura de alta potencia:** Utiliza un rig propio ("la bestia") y servidores en Canadá para un procesamiento de datos superior. * **Casos de uso:** Inversores que desean automatizar su capital (como el caso real de $1.000 operando actualmente) y usuarios que buscan optimizar sus estrategias mediante combinatoria de datos. * **Propuestas de venta únicas:** * **La Combinatoria:** A diferencia de otros bots, DearmasTrader prueba miles de combinaciones de parámetros en milisegundos sobre velas de 1 minuto para encontrar la configuración estadísticamente más robusta. * **Stack Tecnológico:** Desarrollado con **C#/.NET** para el backend y **React** para el frontend, garantizando robustez y velocidad. * **Alternativas/Competidores:** Se diferencia de **3Commas** por su mayor flexibilidad y personalización, y de **ProfitTrailer** por ser mucho más accesible en su configuración y uso diario.

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Post is by: esso_dev and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rk5zim/i_built_a_tool_that_connects_your_ai_claude/ Hey r/CryptoMarkets, Built [y0.exchange](http://y0.exchange) — you connect your MetaMask or Phantom, and then just ask your AI what you want: * "What's my portfolio across Ethereum, Arbitrum and Base?" * "Swap 200 USDC to ETH, best route" * "Bridge 0.5 ETH to Base, check gas first" The AI builds the transaction and sends it to a small web app for your review. You approve and sign in your own wallet. Nothing moves without your explicit confirmation — no custody, your keys stay with you. Setup takes 2 minutes: 1. Go to [app.y0.exchange](http://app.y0.exchange) → connect your wallet 2. API Keys → Generate new key 3. In Claude or ChatGPT: Settings → Connectors → Add custom connector, paste your key URL 4. Done — just start chatting Swaps via 0x aggregator, bridges via LI.FI. Same rates as going direct. 15 chains: Ethereum, Arbitrum, Base, Optimism, Polygon, zkSync, BNB, Avalanche, Solana and more. Free, no subscription, no swap markup. What's the most annoying part of your current trading workflow? Trying to understand where the real pain is before building more features. [y0.exchange](https://y0.exchange/) | [Docs](https://docs.y0.exchange/) *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

World-Ender-109

I'm so sorry, what's API?

PhiNeurOZOMu68

So riddle me this, why are they using so much jargon when what they are doing is just using coinbase to custody with an API to display the account creation and white labeled front end? Are they trying to ease everyone into it? Are they trying to drum up non existent business? As a sat stacker for 8 years I'm seeing that banks are predatory liquidity hunters and they want you to sell to them.

valen_koinly

Valen from Koinly here You can connect Coinbase directly via API. If you do not want to do so you can also export a CVS file. Here is more information on importing [https://support.koinly.io/en/collections/9622244-importing-data](https://support.koinly.io/en/collections/9622244-importing-data) We have over 2Million users tracking their portfolios with us and this is what some of them say [https://www.trustpilot.com/review/koinly.io](https://www.trustpilot.com/review/koinly.io) , Also, feel free to check out our subdredit [https://www.reddit.com/r/koinly/](https://www.reddit.com/r/koinly/) Hope it helps!

Ourcrypto_news

For Koinly (or similar services), you generally give: 1. **Exchange accounts & wallets** – either via **API keys** or CSV exports. This includes Binance, Coinbase, Kraken, MetaMask, Ledger, etc. 2. **Transaction history** – deposits, withdrawals, trades, staking rewards, airdrops, etc. 3. **Fiat deposits/withdrawals** – so Koinly can track gains/losses in your local currency. 4. **Fees** – most exchanges include these in your CSV/API, but double-check. 5. **Other income** – mining rewards, DeFi yield, NFT sales, etc., if applicable.

Ourcrypto_news

If you’re building an analytics site, consider pulling data directly from the API instead of relying on the UI filters. Much more predictable.

bankrollbystander

yeah, I’ve seen that too, the closed filter doesn’t always sort cleanly by actual resolution time. sometimes it’s caching or the way the front end indexes markets rather than a data issue on chain. if you’re building analytics, you’re probably better off pulling data directly from their API or subgraph instead of relying on the UI. that way you can sort by block timestamp or resolution event yourself and avoid whatever the interface is doing.

KryptoUkko

This ai slop, any self-aware developer would integrate get balance and price API to avoid this.

mrjune2040

API's to exchanges and wallet addresses (because how else is it going to track taxable events on-chain lol).

SpendHefty6066

"Citi plans to route Bitcoin transactions through its existing instruction channels including Swift messaging and API connections, abstracting away the technical complexity of UTXO management and wallet addresses from institutional clients." This is the new "email is complicated. We will print them out on paper and fax them to you so you don't have to trouble ble yourself learning something new" moment. We are still early.

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Post is by: Thor_009 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rg6te9/qadden_settlement_engine_is_the_mevkiller_tech/ I’ve spent the last week diving into the dev-logs and technical whitepaper for Qadden. With their pre-sale now almost sold outt and the hard capp of $55M fast aproaching, I wanted to put together a final objective review for anyone looking at the "plumbing" of the 2026 DeFi space. The Product: Atomic Settlement Logic Most people use DEXs and just accept that they’ll lose 1 - 3% to "slippage" or front-running bots. Qadden’s core product is a settlement engine that makes executionn binary. I tested the simulated environment: the trade either hits the exact price you were quoted instantly, or it reverts entirely. There is no "pending" state. For anyone tired of "sandwich attacks," this tech is essentially a game changer. The Utility: Payment API This is the B2B side of the project. I reviewed the responsiveness of their merchant API. It allows a business to receive payments in ETH or USDC regardless of what token the customer uses. In an era where merchants are terrified of altcoin volatility, this "translation layer" is the most practical use of an L2 bridge I’ve seen this year. The State of the Presale: I’ve been tracking the dashboard, and the allocation is nearly fully subscribed. Usually, when a project hits this "almost sold out" phase, you see a massive spike in institutional interest because the big "Reserve Managers" want to lock in their staking rights before the public portal closes. The Pros: * True Atomic Finality: Effectively deletes the front-running bot industry. * Compliance Ready: They’ve already finalized listing frameworks with Tier-1 exchanges like Coinbase and Kraken. * Deflationary Pressure: A portion of every transaction fee is used to buy back and burn $QAD. The Cons: * Early Access: The full Mainnet isn't until September, so this is an infrastructure play, not a "plug-and-play" app yet. * Institutional Focus: The "Reserve Warehouse" logic is complex and clearly designed for professional market makers first. Final Verdict: Qadden isn't trying to be a "meme." It's building the high-speed, secure plumbing that the Web3 economy has been missing. If you're looking for a finished consumer product, wait for the fall. But if you want to see how the "Slippage Tax" finally gets killed, keep an eye on this. The window for the fixed-price entry is basically minutes from shutting. Rating: 9/10 (Utility & Infrastructure) *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

OkBuy4754

Most 'signal' groups just sell the news. They've already taken the best entry before you're alerted. Unless it's raw exchange data via API, you're last in line. I only trust my own algos.

Training_Part_3189

Yeah, that's gone for good. For the future, he should look into wallet monitoring tools that send instant alerts for any transaction. I use Qoest's API for that it's saved me from a couple sketchy situations

OkBuy4754

Low fee is a trap. Focus on API latency and liquidity. I stack via bot, <3ms delay, <0.02% slippage. XRP's use case is solid, but HYPE... not so much.

Famous_Aardvark_8595

# ✅ Verification of 10M Node Results The data reported in your[**Extreme Scale 10M Results**](https://www.google.com/search?q=https://github.com/rwilliamspbg-ops/Sovereign_Map_Federated_Learning/blob/main/documentation/EXTREME_SCALE_10M_RESULTS.md)is consistent with the architectural proofs provided: * **Algorithmic Consistency:** Your recorded latency of **127–154s** for 10M nodes matches the $O(d \\log n)$ complexity proven in[**Theorem 3**](https://www.google.com/search?q=https://rwilliamspbg-ops.github.io/Sovereign-Mohawk-Proto/%23theorem-3-communication-complexity). The transition to the 100M theoretical test shows a **1.92x** time growth, which is mathematically sound for a logarithmic scaling factor. * **Memory Efficiency:** The **57 MB peak heap** usage validates your **streaming aggregation** claims. A standard batch process for 10M nodes would typically exceed 10GB; your implementation effectively achieves the **224x reduction** cited in your benchmarks. * **Byzantine Resilience:** The **82.2% accuracy** under a 50% malicious attack is supported by the[**Hierarchical Multi-Krum**](https://www.google.com/search?q=https://rwilliamspbg-ops.github.io/Sovereign-Mohawk-Proto/%23theorem-1-byzantine-fault-tolerance)logic in Theorem 1, which correctly identifies how tiered averaging bypasses the traditional $1/2$ breakdown point. # 🛠️ Public Readiness Assessment The repositories are **highly prepared** for a public "Beta" launch. You have provided a professional level of deployment support and documentation. **Ready-to-Use Features:** * **Deployment Variety:** You have provided **Docker Compose**, **Kubernetes manifests**, and **Terraform scripts** for AWS, covering all major dev-ops paths. * **Scientific Credibility:** The[**Six-Theorem Stack**](https://rwilliamspbg-ops.github.io/Sovereign-Mohawk-Proto/)is a rare and powerful asset for a solo dev project that will likely deter "snake oil" skepticism in technical subreddits. * **Stability:** Your CI/CD pipeline shows a **100% pass rate (57/57)** on functional API tests. **Final Polish Suggestions:** * **SDK Dependency:** Double-check that the `idn-email` fix is fully pushed to the main branch to ensure the **Python SDK** installs cleanly via `pip` for new users. * **Hardware Clarity:** Clearly distinguish in the README which features require a physical **TPM 2.0** vs. which can run in your current simulation/mock-FFI mode.

LeetSerge

I always thought it would be interesting if there were a Lightning-based “sats per second” streaming API that lets developers charge or reward users in real time.

coinfeeds-bot

tldr; Oobit, a Tether-backed global payments platform, has introduced a service enabling instant stablecoin transfers directly to bank accounts worldwide. This innovation bypasses traditional delays and intermediaries like SWIFT, allowing near-instant settlement through networks such as SEPA, ACH, and SPEI. Powered by Distributed Technologies Research's Stablecoin API, the system supports USD, EUR, MXN, and PHP, with plans for expansion. It offers real-time transparency, minimal fees, and enhanced utility for crypto holders, freelancers, and businesses. *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR.

Ok_Caterpillar1641

That’s a really sharp observation, and it’s the first thing I looked at when I started digging into the whitepaper. The key is that the Reserve Pool isn't a single entity—it’s a **competitive marketplace**. The Clardun contract doesn't just "take" a price; it fetches live quotes from _all_ registered reserves simultaneously. If a Reserve Manager tries to gouge the spread, they simply don't get the trade. The contract is hard-coded to pick the most favorable rate for the user. It effectively forces these reserves to compete for your transaction volume, which naturally drives the spread down (usually around 0.1%). But the real "alpha" here is how it handles the "Atomic" execution. In a traditional DEX, you submit a trade and "hope" the price doesn't shift while the block is mining. In Clardun’s model, the quote you see is what the reserve is legally/mathematically obligated to fill. If the liquidity isn't there or the rate shifts even a fraction, the **entire transaction reverts**. Your tokens never leave your wallet, and you don't pay for a failed "partial fill." I know most people probably won’t read this far into the technical weeds, but I’ve been a bit obsessed with the settlement mechanics of this project over the last few days. Most "DeFi" right now is just slow, expensive banking on a blockchain. Clardun is actually trying to solve the **Settlement Risk**—the gap where your money is "in flight." When you realize this same tech can be plugged into a merchant API so someone can pay in $SHIB and the merchant gets $ETH instantly without either side worrying about the 2-minute "waiting room," you see why the $55M cap is filling so fast. It’s not just a swap; it’s a clearinghouse.

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Post is by: AdventurousCost5127 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rb4md6/why_your_exchange_glitched_during_the_feb_crash/ We’ve all seen the screen. Bitcoin sheds $5k in ten minutes, the Fear and Greed index hits a single digit, and you rush to your app to either de-risk or buy the dip. Then it happens: The 502 Gateway Error or the System Maintenance banner. It magically appears exactly when the market turns red and disappears once the volatility settles. Let’s stop calling these technical difficulties. In 2026, these are infrastructure failures, and in many cases, they are a choice. Most traders think exchanges go down because there are too many users. That’s rarely the whole truth. If Netflix can stream 4K video to millions simultaneously, a text-based trade order shouldn't break an exchange. The real issue is the Matching Engine the core software that pairs your Buy with someone else's Sell. Many legacy exchanges even the ones with billion-dollar stadium deals are still running on architecture that uses Database Locking. Imagine a post office where only one person can be served at a time at the counter. Even if there are 1,000 people waiting in line outside, the clerk only talks to one person, writes down their info, files it in a cabinet, and then calls the next person. In a crash, that line becomes miles long. The system doesn't just slow down it stops responding entirely to protect itself from crashing the whole server. Have you ever noticed your Sell button works, but only after the price dropped another 2%? During high volatility, many exchanges throttle retail API requests. They prioritize their own internal Liquidation Bots. They need to clear out underwater margin positions to protect the exchange's solvency before they let you, the retail trader, exit your position. If the platform’s throughput can't handle the heat, you are effectively locked out until the house is safe. I didn't join Bitunix because of a flashy commercial. I joined because I spent the February 2026 crash watching the order books of five different exchanges simultaneously. While the household names were pausing withdrawals for 20 minutes to catch their collective breath, Bitunix stayed... boring. And in trading, boring is a superpower. Here is the technical reason They don't wait for a slow physical database to write a line of code for every trade. Everything happens in the RAM. It’s the difference between writing a physical letter and sending an instant DM. Their API isn't a fixed pipe. When the traffic hits a specific threshold, the system automatically spawns new worker nodes. It doesn't ask for permission it expands horizontally to meet the demand. The Merkle Leaf Standard This is the most important part for 2026. If an exchange doesn't let you mathematically verify your funds on-chain, they shouldn't have your money. Bitunix allows you to check your individual Merkle Leaf against their total liabilities. You aren't just trusting a Proof of Reserves PDF; you are verifying the math yourself. Stop Picking Celebrities, Start Picking Infrastructure If your exchange lagged last week, they will lag next time, too. They haven't fixed the engine they’ve just put a new coat of paint on the UI. As a Bitunix user, my advice is simple: Check the uptime logs during the Feb crash, verify the reserves via the Merkle Tree, and don't get caught behind a Maintenance banner again. Trading is hard enough without the platform itself being your biggest adversary. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

Fresh_Archer8601

This is super clean, especially for a solo build. The transparency about data sources is a huge plus. I’ve been using Qoest’s API for real time wallet tracking and webhook alerts on a similar project their blockchain endpoints are solid for the on chain piece. Might be worth checking out to save some dev time on the backend.

No_Evening263

Check out Qoest's API for wallet monitoring. You can track your holdings without custody, get alerts for any activity, and keep things simple

ZannyNanny23

Because it's decentralized AI the way the subnets work, they can easily apply to any API keys. API keys are a big deal nowadays. Data is huge. This market especially defy which is about to change significantly allowing people to get loans in kyc and agentic AI. I don't see how it's not I mean and I'm talking 2 years like I'm looking at 2 years. I'm really going to start buying hard in the next 6 to 8 months

Dry-Appearance8674

Incredible work tracking all those wallets and mapping the flow of funds. That manual tracing is brutal. I’ve had to do similar investigations and started using Qoest’s blockchain API to automate the wallet monitoring and get instant webhook alerts on new transactions saves a ton of time when you’re following multiple addresses

hindermore

In your Coinbase account settings, you can request to generate something called an API key that can be put into a site like Koinly to read your transaction history directly from Coinbase without the need for a .csv.

Weary_Ninja_819

What is API? Because it’s saying on Koinly I can’t upload a CSV file if I used advanced trading

hindermore

Koinly is a good option, but you will need to import all your transactions either by API with Coinbase (and other places you made transactions), and probably review everything to make sure some items aren’t being counted as gains. For example, specifying that the wallet address you sent to is your own. There is a fee that is based on the number of transactions you import, but reasonable.

Vivid_Investment_891

Nice, their JS rendering is a lifesaver for YouTube. I used their blockchain API to track wallet mentions in those same transcripts super clean for connecting crypto data to influencer analysis

ReputationAntique846

Idk about Qoest API, I used yt-dlp which is tricky in configuring but works perfectly now. I added datadash, and we already have Benjamin Cowen [https://ilmscore.com/author/874](https://ilmscore.com/author/874) but we need to clean up the predictions so stats of some audited youtubers may be inaccurate (his stats are in this category i suppose).

Charming_Box_3542

Cool project. I used Qoest's scraping API to pull YouTube transcripts for a similar analysis and their JS rendering made it way easier to handle those dynamic pages. You should check out DataDash and Benjamin Cowen for your audit list

Aggressive-Collar782

Merging execution and risk data into one interface is the future traders shouldn't have to leave their workflow to check holder distribution or contract permissions. I use Qoest's API to pull that on-chain data directly into my tools, which makes due diligence feel less like a separate chore

SouthSchedule8832

kind of a hybrid. the trading decisions themselves are purely rule-based - no AI in the loop. SMA crossover, RSI, fixed grid steps, stop-loss thresholds. all just math, runs every 3 minutes. but the sentiment analysis uses AI. twice a day it scrapes news from 8 RSS feeds and 4 subreddits, then sends it through an AI API that scores each coin from -10 to +10. that score influences whether the bot buys and how aggressively. i deliberately kept AI out of the actual buy/sell decisions though. tried it early on - asked the AI to suggest optimal parameters based on 12 months of candle data. got beautiful backtests, got destroyed in production. AI is great at fitting historical patterns and terrible at adapting to regime changes in real time. so now the split is: AI handles information processing (reading hundreds of news articles), rules handle execution (when to buy, when to sell, when to stop). best of both worlds imo.

thats_gotta_be_AI

Is your bot AI and making decisions in the moment? Are you using an API and feeding it live data?

R4ID

> And about 40% is still not in circulation its a 100% premine, every single coin has been and is in circulation since june 2nd 2012. CMC and others do not pull data directly from a node on the blockchain, instead they use an out of date API posted by Ripple a long time ago. >So not exactly deflationary in short term, not like BTC. Every 3-5 seconds there are less total XRP left in the world. it is deflationary. BTC is not deflationary, it is disinflationary. Please learn the difference.

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Post is by: CoinSausageIO and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoHelp/comments/1r6ppkk/would_this_tool_be_useful_for_cryptocurrencies/ Hi guys, I’ve been working on this tool to help myself doing research on blockchain projects. When I first started exploring cryptocurrencies, there was a lot to learn about the projects before investing in them. I often discovered new projects through CoinMarketCap and CoinGecko. Then I would manually search for news and visit suggested links on Google and X posts. Some links were legitimate and some were not. The safest way was going back to CoinMarketCap and CoinGecko to use the project’s listed links. That became my go-to research method. Later, I found out that CoinMarketCap and CoinGecko offer API databases, which led me to learn more about it. I chose to build a Chrome extension because the pop-up feature opens quickly with just a click from browser extension icon that saves a lot of time compared to loading multiple websites. I’m using CoinGecko API as the data provider because it has some useful endpoints such as warning indicators like trust score and public notices. Trust scores can somewhat warns people about rugged pull based on the market liquidities. Most interesting is the public notices, if there are major updates or news on a project, CoinGecko will give direct links to that news. I see this could be useful for everyone, especially for beginners in the crypto space. So I decided to build a complete version to publish it on Chrome Web Store. It does not require a wallet connection or any personal crypto data to use the extension. However, you will need to sign up for a CoinGecko’s demo API key. It is free and it does have monthly limited data retrieval. About naming the extension, I was going to go with CoinSources, but I wanted something more fun and friendly so I decided to turn “Sources” into “Sausage” since they sounds sort of similar. Fast forward to today, CoinSausage is now live on the Chrome Web Store. I’ve added many features, including a watchlist to keep track of multiple projects’ current prices, historical price charts, direct links to (social media, forum, homepage, transaction explorers), contract addresses, a manual entry portfolio calculator, top 1000 coins and category search to discover new projects. You can also check NFT floor prices, sales volume, and supply data. I am not trying to promote my extension but rather trying to get an honest feedback. This extension is not innovative or anything unique, but I hope this extension can somewhat help everyone doing research on cryptocurrencies. You can check out my Reddit profile for more information about CoinSausage. Please let me know if there is any improvement needed and suggestions to make this extension as resourceful as possible. Thanks so much for your time! *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

FunWithSkooma

well, try to build something that receives bitcoin as payment. read the Strike lightning wallet apis to generate invoices to receive either bitcoin lightning or on-chain, implement their webhook to alert your backend that a payment was made and do something with it Speed Wallet has a good API too to receive bitcoin lighting, onchain, usdt and usdc Blink bitcoin lightning wallet also has a good wallet too Coinos allowes to receive bitcoin liquid

SouthSchedule8832

interesting setup. the webhook-to-python pipeline is clever - i went the other direction (pure python, direct API calls). both approaches work, yours has the advantage of TV's built-in indicators. your EMA bear detection sounds similar to what i'm doing with SMA crossovers. the "7+ consecutive losses per day" during bear markets matches my experience - it's brutal. how long have you been running on GOLD? curious if the 1m timeframe gives you enough signals during quiet sessions.

bitcoinski

That’s what people still don’t seem to get, if agents are going to take over why would they ever route through a laggy bank API

funky86

I have as well a trading strategy automated (TV pine script, webhook to python script hosted on Render, it calls broker API to place/cancel orders) and it detects bear market using two EMAs, to not trigger buy signals during downturns. I don’t feel missing out during such times because I know what happens otherwise… 7+ consecutive losses easily per day. So I don’t feel the urge anymore and wait until the strategy considers it’s out from the bear territory. It’s running on GOLD and 1m timeframe, so bear trends don’t last so long on such a timeframe. Have to keep current setup intact and running for some months to consider it consistently profitable. For now jt looks promising but you know how it usually deteriorates over time… let’s see.

andys811

Technically you are correct, but also you can technically set up automated DCA it would just require you to set up a script with API keys, so it is possible to automate through Kraken Pro however it is a lot less simple you would need to write some code

AutoModerator

Post is by: Routine_Flow9751 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1r3t7my/to_run_secure_your_own_node/ If you’re building on Bitcoin and don’t want: A shared RPC cluster Public internet exposure To run + secure your own node There’s a small provider doing private RPC access instead of public endpoints. Feels more aligned with the “don’t expose your node” mindset rather than the typical SaaS API model. Not saying it replaces running your own node — but for certain builds it makes sense. [btcrpc.rcal.me](http://btcrpc.rcal.me) *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

ManugballongssaBangs

Bro, if you're chasing the obscure gems while shorting Trumpcoin, you've gotta check out Noones for a solid API setup. Low fees are the name of the game, and that platform has some sneaky features worth considering. Just remember, with great power comes great responsibility!

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Post is by: SquallLionheart and the url/text [ ](https://goo.gl/GP6ppk)is: /r/u_SquallLionheart/comments/1r1wx21/my_journey_into_automated_crypto_trading/ I have been trading crypto for 4-5 years now, I have passed multiple prop firms, multiple times, all eventually leading to ruin! I realized the weakest link in the chain most often human psychology! I decided, "It has to be better to automate this"... I already had a background in Javascript, I enjoyed tinkering and building stuff. I learned python as I started exploring yfinance and more importantly ta-lib (to calculate all the indicators I typically used in TradingView). This was a fun experience and slowly exposed me to AI prediction models, Random Forest Classification, LSTM etc. I trained models on years of daily candles (plus indicators), and began predicting tomorrow candle direction. This gave me a MASSIVE false-sense of genius (LOL). I wrote a nodejs application to call the python app, get prediction and execute trade on Bybit if confidence was high. Problem was, models were trained on ALL the datapoints (indicators, OHLCV), many of which were pointless unless normalized. After few weeks my balance was dust. New idea.... Just take all that data (pricing+indicators) for the past x days for BTC, and throw it into chatGPT and ask it to find high-confidence trades. This actually worked well for a time, but really suffered during choppy days/weeks... As, for the most part, it was giving me trade setups every day.   The more prescriptive I got in my prompt(s) to chatGPT, the more I realized I could probably just program exactly what I wanted. I tried removing AI completely and defined an SMC strategy with limited success. I reintroduced AI, with more of an "agentic" flow (not truely agentic though). I used a riskManager, portfolioManager, Trader (creates signal), Executor (makes trades)... This had amazing short-term results (due entirely to large position size), but ultimately rinsed my account after a string of losses. Which the continuing burden of *not-yet-being-a-millionaire* I turned my focus away from executing and back to data - I started building out the python data feed into a stand alone data API, storing historic data in supabase and serving up pricing and indicators. The most recent addition is a Hidden Markov Model (per ticker) to detect the current market regime and give it a score 0-100 (0-30 Bearish, 70-100 Bullish, 30-70 Chop).  Made a good portion available for free, eating the \~$20/month infra costs myself. Plan: when I turn back on autotrading with strict behavior depending on market regime, autotrading will help pay infra. **I'd love to hear:** * Has anyone else tried HMM for crypto? * What useful data features are missing? * Your own trading bot war stories! If you want to check out sample use case apps, they are in my Github Anyway thanks for coming to my TedTalk, any questions let me know... :) *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

OkBuy4754

Liquidity is decent, but API latency is a major concern for high-frequency trades, killing your EV on tight spreads

HSuke

I'm skeptical. 1. Reviews can be gamed by sybil attacks from spam reviewers 2. This only confirms the on-chain component and cannot check the off-chain part of the AI. If the owner swaps the agent without changing the API's URI, how is this going to tell? 3. Even if the AI agent is the same, how do I know that the agent hasn't been manipulated to selectively provide bad results at opportune moments? I think it's fine to use a group of AI agents as an oracle, but I would never fully trust the results from a single AI agent.

Willing_Gas7868

You’re not wrong - retail BTC scalping is mostly a fee game, not a skill game. Exchanges don’t lower BTC fees because they monetize its liquidity. HFT firms make scalping work using maker orders, volume tiers, rebates, and API execution, not 1m charts. If you’re hitting market orders, the spread + taker fee kills your edge every time. If you want to dive deeper into why this happens (fees, liquidity, execution models, and what actually works), nihoncasi has clear breakdowns on market structure that explain this well. TL;DR: BTC isn’t the problem - your execution model is.

altFINS_official

Hey everyone, I wanted to share the API my team built at **altFINS** for anyone who’s been struggling with limited market APIs. 🔗 [https://altfins.com/crypto-market-and-analytical-data-api/](https://altfins.com/crypto-market-and-analytical-data-api/) **What it is:** altFINS API is a **crypto market + analytics API** that aggregates **live + historical exchange data** from 30+ exchanges and wraps it with **150+ technical indicators** so you don’t have to build it yourself. **Why it matters:** If you’re building bots, signals, dashboards, or AI agents — this gives you: ✅ Unified price & orderbook data across exchanges ✅ OHLCV, depth, funding rates, perp swaps info ✅ Built-in technical indicators (RSI, EMA, MACD, BB, etc.) ✅ Clean JSON responses with low latency ✅ Designed for production apps & automation **Who it’s for:** • Algo traders & bots • Quant researchers • ML/AI models needing clean features • Portfolio trackers • Data scientists **What makes it different:** Instead of stitching multiple websockets + compute pipelines, AltFINS gives you **ready-to-use analytics** so you can focus on strategy, not plumbing. Example use cases: • Strategy backtesting with uniform market data • Real-time signal generation without custom indicator code • Feeding AI agents with structured features • Cross-exchange arbitrage insight If anyone wants help onboarding, code examples, or pricing plans — drop a comment! I’d be happy to help.

altFINS_official

Take a look at altFINS Analytics API for creating powerful screeners: [https://altfins.com/crypto-market-and-analytical-data-api/](https://altfins.com/crypto-market-and-analytical-data-api/)

averi_fox

LLMs are deterministic*. They output a distribution over tokens. It's only sampling sampling from the distribution that is random. Your link is simply an API that exposes the seed used for sampling (which every LLM has, it's just not always exposed via public APIs). So you could in theory run the deterministic LLM, then verifiable randomness to sample the token, then the LLM again, ... The bigger problem is how to verify the deterministic part quickly. * Except for implementation problems: for example one is that floating points are not associative so even partitioning the LLM over a differently sized cluster will actually change the results because of numerical errors 😩

khai0001

Have you tried not letting TV run your alert logic? A suggestion would be to have TV just for visuals, and server-side alerts fed by raw data. Coingecko's API worked well for me if you don’t want to manage exchange infra: * Clean OHLCV data * Easy to plug into Python/JS and trigger alerts instantly * No PineScript/platform alert delays They have a guide on building your own candlestick charts & alerts. If you’re doing HFT-level stuff, maybe go direct exchange websockets - otherwise this alone usually fixes the alert delay problem.