Danelfin and Tickeron both sell \u201cAI\u201d to people picking stocks, but they are not the same kind of product. Danelfin gives every stock a score from 1 to 10 and leaves the trading to you. Tickeron sells signals and trading bots, some of them running on its own brokerage accounts. I read both sites end to end on Oct 26, 2026, including the parts most reviews skip: Danelfin\u2019s own audit site and the small print under Tickeron\u2019s 191% headline.<\/p>\n
I also work on milo, so I\u2019ll say where milo fits and where it doesn\u2019t. It isn\u2019t a third option that beats both. It answers a different question.<\/p>\n
Pick Danelfin if you want a daily 1 to 10 rating on about 5,600 US and European stocks and you\u2019ll place the trades yourself. Pick Tickeron if you want ready-made signals or bots that trade on 5 to 60 minute timeframes. Both lead with backtests. Danelfin publishes an audit that shows its live record so far is flat. Tickeron\u2019s headline numbers don\u2019t come with\u00a0dates.<\/p>\n
Danelfin calls itself \u201cAI-Powered Stock Picking.\u201d Every trading day it gives each stock an AI Score from 1 to 10, which it describes as the probability of beating the market over the next three months. A 10 means the model likes it most, a 1 means least. You also get sub-scores for technical, fundamental, sentiment and low\u00a0risk.<\/p>\n
Per Danelfin\u2019s how-it-works page<\/a>, the model looks at more than 600 technical, 150 fundamental and 150 sentiment indicators a day, which it turns into 10,000+ features per stock. It uses hundreds of decision trees and trains on the latest 252 market days for US stocks. Coverage is all US stocks, the main European markets and US-listed ETFs. The audit site<\/a> puts the count at roughly 5,600 stocks scored\u00a0daily.<\/p>\n Danelfin pitches this as explainable AI, \u201cno black boxes,\u201d because it shows which features pushed a score up or down. That\u2019s useful. It still won\u2019t tell you why a 9 should beat an 8 in your\u00a0account.<\/p>\n One thing to get straight early: Danelfin doesn\u2019t trade for you. The audit site says it plainly, \u201cyou execute the trades on your own brokerage account.\u201d The paid plans can sync a US broker portfolio so you see scores on what you own, but that\u2019s a read, not an\u00a0order.<\/p>\n From danelfin.com\/pricing<\/a> on Oct 26,\u00a02026:<\/p>\n Free:<\/strong> $0. Top 10 lists, 10 stock reports a month, one portfolio of 5 stocks, top alpha signals\u00a0only.Plus:<\/strong> $22 a month billed yearly ($264). Adds portfolio sync with US broker accounts.Pro:<\/strong> $59 a month billed yearly ($708). Adds full alpha signals and CSV\u00a0export.Elite:<\/strong> $134 a month billed yearly ($1,608). Adds an API with 10,000 calls a month and historical daily scores back to 2017 on\u00a0request.<\/p>\n The per-month prices are the yearly plan divided by 12. The page says yearly saves $84, $240 and $540 a year, which works out to about $29, $79 and $179 a month if you pay monthly. There\u2019s a 30-day money-back guarantee.<\/p>\n The homepage says stocks with a Score of 10 beat the market by +21.05% on average after three months (annualized alpha) since 2017, and stocks scored 1 lagged by 33.28%. It also says its Best Stocks strategy returned +456% from Mar 29, 2017 to Sep 3, 2026, against +228% for the S&P\u00a0500.<\/p>\n The how-it-works page is honest about what those are: \u201cThis Danelfin Best Stocks strategy performance is based on backtested results. Backtested performance is not an indicator of actual future results.\u201d The +21.05% figure covers Jan 3, 2017 to Apr 1,\u00a02025.<\/p>\n Credit where it\u2019s due, Danelfin runs a public audit site and the audit is tougher on Danelfin than the homepage is. Here\u2019s what it\u00a0says:<\/p>\n The current model went live on Jul 7, 2025. Every score before that date was recalculated afterward, walk-forward. The audit calls this a \u201csimulated backtest\u201d and notes the model was picked after its performance was\u00a0known.It splits the Score 10 backtest into three periods. Average 3-month alpha was +5.4% in 2017 to 2019, +0.3% in 2020 to 2022, and -0.5% from 2023 to Jul 6, 2025. The audit says only 2017 to 2019 is statistically significant and tells readers to \u201ctreat the recent period as unproven.\u201dLive, stocks scored 8 to 10 averaged -0.5% 3-month alpha since Jul 7, 2025, against +2.2% for the same bucket in the backtest. That\u2019s about four independent 3-month windows, so it\u2019s early either\u00a0way.It passed 7 of 14 robustness checks, with 6 cautions and 1 fail. The fail is t-stat inflation: naive t-stats overstate significance by about\u00a04.9x.Survivorship bias isn\u2019t controlled. Delisted companies like Twitter, SVB and Celgene are missing from the\u00a0history.A Top 20 portfolio backtest returned 22.4% a year vs 15.1% for SPY from Apr 2017 to Jul 2026, before trading costs, with about 70% turnover at each monthly rebalance.<\/p>\n Six-month alpha tells the same story: +4.8%, then -1.4%, then -2.6%. So the big homepage number leans mostly on 2017 to 2019. That doesn\u2019t make the score useless as a screen. It does mean nobody, Danelfin included, can show it beats the market\u00a0now.<\/p>\n Tickeron\u2019s homepage reads \u201cAI Trading Agents, Tools and News.\u201d Where Danelfin is one score, Tickeron is a shelf of products: Daily Buy\/Sell Signals, AI Robots, Real-Time Patterns, Trend Prediction, Pattern Search and a screener, plus crypto signal agents. Its models, which it calls Financial Learning Models (FLMs), run on 5-minute, 15-minute and 60-minute charts. That\u2019s short-term trading, not \u201chold for three\u00a0months.\u201d<\/p>\n The bot trading page<\/a> talks about \u201c1,000+ back-tested algorithms, verified forward testing\u201d and lists 25 bots selected from 351. The homepage the same day said 30 selected out of 298. The bot count moves, which makes sense if bots get added and retired. Some are \u201cDouble Agent\u201d bots that hedge with inverse ETFs, for example pairing $NVDA with NVDS or $MSFT with\u00a0QID.<\/p>\n This is the part people mix up. Tickeron\u2019s AI agents page<\/a> says Brokerage Agents are \u201cdesigned for those who intend to use them for trading on real-money accounts,\u201d and invites you to \u201creview trades and copy from our brokerage accounts.\u201d So Tickeron runs the bot on its own account and you mirror the trades. Virtual agents and signal agents don\u2019t trade real money at\u00a0all.<\/p>\n Can a bot place orders straight into your own broker account? Tickeron\u2019s FAQ, dated Nov 22, 2023, said robot brokerage integration was \u201cunder development\u201d with plans for Binance, Alpaca, Kraken, Ameritrade and IBKR. I couldn\u2019t find a current page confirming it shipped, so ask them before you pay for\u00a0that.<\/p>\n There\u2019s no public pricing page. Both tickeron.com\/pricing and \/pricing\/ returned 404 when I checked. The only prices I found were in a Sep 21, 2026 sale post: Daily Buy\/Sell Signals at $60 a year instead of $240, and AI Robots at 50% off without a dollar figure. Expect to see prices after signing\u00a0up.<\/p>\n The bot page headline is \u201c191% Annualized Return During the Reported Period,\u201d with 419 closed trades, a 71% win rate, a 2.92 profit factor, $456 average profit per trade and a 13:1 profit-to-drawdown ratio. It adds \u201cPast performance does not guarantee future results.\u201d<\/p>\n What the block doesn\u2019t say is which bot that is, what dates \u201cthe reported period\u201d covers, whether it was live money, paper or a backtest, and what a benchmark did over the same window. 419 trades is a decent count, but annualized returns from a short window can look huge. Until you know the dates, 191% is a hard number to\u00a0judge.<\/p>\n milo doesn\u2019t score stocks and doesn\u2019t run stock bots. On the stock side it reads filings. The andmilo.com\/stocks<\/a> page pulls Form 4 insider buys and sales and 8-K filings from SEC EDGAR for 50 of the most-followed US stocks, refreshed daily. As of Oct 25, 2026, 23:23 UTC, it showed at least 278 insider sales worth at least $3.3B over 90 days, against at least 7 buys worth at least\u00a0$54M.<\/p>\n Here\u2019s a real one. On Sep 29, 2026, Oracle director Stephen Rusckowski bought 25,000 shares of $ORCL at a weighted average of $139.352, about $3.48M, filed Oct 1. I opened the Form 4<\/a> to check: code P, open-market fills between $138.96 and $139.74, held through his living trust, and the 10b5\u20131 plan box isn\u2019t checked. That\u2019s a clean buy with his own\u00a0money.<\/p>\n Now a messy one. The same feed lists a $24M $PEP \u201cbuy.\u201d The footnotes show it was a swap between Pohlad family trusts, not someone betting on PepsiCo. A score wouldn\u2019t catch that and neither does a raw count. You have to read the filing, which is how to read SEC Form 4<\/a> is\u00a0about.<\/p>\n Where milo is weaker than these two,\u00a0plainly:<\/p>\n No AI score or ranking of\u00a0stocks.No ETFs or European stocks. Insider data covers 503 US tickers, against about 5,600 for Danelfin.No backtest or stock-picking track record to show\u00a0you.No real-money stock trading. Stock features are paper trading and research\u00a0only.No intraday pattern tools like Tickeron\u2019s.<\/p>\n Where it\u2019s different: every data point links back to a public SEC filing you can open yourself, and on the crypto side milo agents trade from your own wallet with public PnL and a plain-English diary of each\u00a0move.<\/p>\n If you want the wider field, the best AI stock pickers<\/a> roundup compares more tools, and can ChatGPT pick stocks<\/a> covers the public AI paper-trading tests.<\/p>\n The same five questions work for Danelfin, Tickeron, milo or whatever comes\u00a0next:<\/p>\n When did the model go live?<\/strong> Anything before that date is a backtest, however it\u2019s labeled. Danelfin gives you the date (Jul 7, 2025). Tickeron\u2019s 191%\u00a0doesn\u2019t.Is the result split by period?<\/strong> One big number from 2017 can hide a flat last three years. Danelfin\u2019s audit shows exactly\u00a0that.Are dead companies in the data?<\/strong> Without delisted stocks, backtests look better than\u00a0reality.Is it before or after costs?<\/strong> 70% monthly turnover or hundreds of short-term trades cost real\u00a0money.What\u2019s the benchmark over the same dates?<\/strong> A return with no comparison isn\u2019t a\u00a0result.<\/p>\n If a vendor can\u2019t answer those, treat its performance number as marketing. If you want to test ideas without risking money, paper trade them first. That\u2019s the only way milo handles stocks\u00a0anyway.<\/p>\n Is Danelfin better than Tickeron?<\/strong> Is Danelfin\u2019s AI Score accurate?<\/strong> How much does Danelfin cost?<\/strong> How much does Tickeron cost?<\/strong> Do Tickeron bots trade real money?<\/strong> Is Tickeron\u2019s 191% return real?<\/strong> Does Danelfin place trades for me?<\/strong> Is milo an alternative to Danelfin or Tickeron?<\/strong> Try milo<\/strong><\/a> to see insider buys and 8-Ks for the stocks you follow, and paper trade the ideas before any money is involved.<\/p>\n For education only. Not investment advice. milo stock features are paper trading and research only. Competitor details checked on their own sites on Oct 26, 2026 and may change. Sources: danelfin.com (home, how-it-works, pricing), audit.danelfin.com, tickeron.com (home, bot-trading, ai-agents, FAQ, Sep 21, 2026 sale post), andmilo.com\/stocks, SEC EDGAR Form 4 accession 0001341439\u201326\u2013000099.<\/em><\/p>\n Originally published at <\/em>https:\/\/blog.pumpparade.com<\/em><\/a> on October 26,\u00a02026.<\/em><\/p>\n I read Danelfin\u2019s audit and Tickeron\u2019s small print. Only one showed a dated live record.<\/a> was originally published in Coinmonks<\/a> on Medium, where people are continuing the conversation by highlighting and responding to this story.<\/p>","protected":false},"excerpt":{"rendered":" Danelfin and Tickeron both sell \u201cAI\u201d to people picking stocks, but they are not the same kind of product. Danelfin gives every stock a score from 1 to 10 and leaves the trading to you. Tickeron sells signals and trading bots, some of them running on its own brokerage accounts. I read both sites end […]<\/p>\n","protected":false},"author":0,"featured_media":244749,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-244748","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-interesting"],"_links":{"self":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/244748"}],"collection":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=244748"}],"version-history":[{"count":0,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/244748\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/media\/244749"}],"wp:attachment":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=244748"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=244748"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=244748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Danelfin pricing<\/h3>\n
The performance claims, and Danelfin\u2019s own\u00a0audit<\/h3>\n
Tickeron in plain\u00a0English<\/h3>\n
Bots, signals and\u00a0patterns<\/h3>\n
Brokerage Agents vs virtual\u00a0agents<\/h3>\n
Tickeron pricing<\/h3>\n
The 191%\u00a0claim<\/h3>\n
Danelfin vs Tickeron side by\u00a0side<\/h3>\n
Where milo fits, and where it\u00a0doesn\u2019t<\/h3>\n
How to judge any AI tool\u2019s track\u00a0record<\/h3>\n
FAQ<\/h3>\n
They do different jobs. Danelfin is a 3-month stock rating you act on yourself. Tickeron is short-term signals and bots. Danelfin is more open about its record, since it publishes an audit with live\u00a0results.<\/p>\n
By its own audit, Score 10 stocks beat the market in 2017 to 2019 and were roughly flat after that. Live since Jul 7, 2025, stocks scored 8 to 10 averaged -0.5% 3-month\u00a0alpha.<\/p>\n
There\u2019s a free plan. Paid plans were $22, $59 and $134 a month billed yearly on Oct 26, 2026, with higher monthly-billing prices.<\/p>\n
Tickeron doesn\u2019t publish a pricing page. A Sep 2026 sale listed Daily Buy\/Sell Signals at $60 a year, down from\u00a0$240.<\/p>\n
Brokerage Agents trade on Tickeron\u2019s own real-money accounts and you can copy the trades. Virtual and signal agents don\u2019t trade real\u00a0money.<\/p>\n
It\u2019s Tickeron\u2019s claim for \u201cthe reported period.\u201d The page doesn\u2019t name the bot or the dates, so you can\u2019t check it from that\u00a0page.<\/p>\n
No. You place trades in your own brokerage account. Paid plans can sync a US broker portfolio to show\u00a0scores.<\/p>\n
Not a direct one. milo tracks SEC filings and insider trades for US stocks with paper trading only, and runs AI trading agents for\u00a0crypto.<\/p>\n