Activity
Mon
Wed
Fri
Sun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
What is this?
Less
More

Memberships

NextGen AI

41.7k members • Free

Digital Products Academy

8.4k members • Free

Free Skool Course

71.6k members • Free

AI Automation Society

409.2k members • Free

AI Systems for Human Content

3.2k members • Free

Trading With Mustafa

2.7k members • Free

The AI Advantage

125.7k members • Free

AI Money Lab

83.4k members • Free

AI Automation Agency Hub

326.1k members • Free

10 contributions to ZeroOne Systems
CoinPulse Beta Update
A week or two ago, I shared that I had turned my localhost crypto scanner into a live web beta after several members asked if I had a URL. Since then, I’ve made a pretty major update. CoinPulse is no longer just scanning Robinhood-tradable cryptos. It now cross-checks crypto movement across multiple data sources/exchanges, including Binance, Coinbase, Kraken, and CoinGecko, so the system can better tell whether a move is broad-based or isolated to one venue. I also redesigned the landing page and dashboard around a clearer question: Is this move confirmed, liquid, and worth watching? New additions include: - Multi-exchange confirmation - Liquidity and spread warnings - Candidate Pipeline page - Market Intelligence page - System Performance / self-grading analytics - Blocked-signal tracking - Missed-profit tracking - Custom trading-style presets - Watchlist settings - Cleaner Simple / Pro dashboard experience - Pricing and account settings pages The part I’m most excited about is that CoinPulse is starting to behave less like a simple crypto scanner and more like a research assistant. It does not just say “buy” or “watch.” It explains why something is trade-qualified, still in the pipeline, blocked, or not worth chasing. This entire project is still being built with Claude, ChatGPT, and other AI tools.... and continues to be heavily inspired by Lewis’ videos and the daily build updates from members in this community. Beta is live here: https://getcoinpulse.com Would love feedback on the new positioning, dashboard flow, and whether the multi-exchange confirmation makes the product feel more useful.
CoinPulse Beta Update
0 likes • 11h
@Jessica Stegmann Thank you. :-) Greatly appreciate it.
0 likes • 11h
@Anders Hallgreen Thanks Anders. I am looking forward to adding some more cool functionality to the website, such as Trading Telemetry Analysis, Monte Carlo Simulation, and Robustness/Strategy Parameter optimization.
day 1 done
need some one check me out , i am now sure i made it right or not ,...?
day 1 done
0 likes • 13h
Looks great. Good job!
55000%+ profit trading MNQ using Claude and ChatGPT
I’ve built a TradingView strategy I call AEE — Adaptive Edge Engine with Claude and ChatGPT. The current version on MNQ 5m is showing: - Net P&L: ~$2.76M (initial capital was $5000) - P&L (%): ~55,270% - Profit Factor: ~5.99 - Win Rate: ~75% - Max Drawdown: ~$1.3K (6%) - Trades: ~38K over entire history of MNQ The real breakthrough here wasn’t just “building a profitable strategy.” The key developing the full research and validation workflow using Claude and ChatGPT around the strategy. The workflow now includes: - TradingView strategy development - AI-assisted Pine Script review - Trade telemetry extraction - Session / grade / confidence / trigger analysis - Monte Carlo simulation - Apex-style (Prop Firm) pass/fail survival testing - Red-tail drawdown diagnostics - Daily/session risk analysis - Live execution testing through TradersPost One thing I learned very quickly...a TradingView backtest by itself is not enough. You also need to know: - What happens if you start trading at the worst historical point? - What happens with extra slippage and commissions? - What happens if the edge decays? - What happens if trades cluster badly? - Which sessions actually make the money? - Which signals quietly create drawdown? - Whether your live alerts match the strategy tester behavior? This is not a guarantee of future results, but it has been eye-opening to see how much better the process becomes when AI is used as a research partner instead of just a “write me a strategy” tool. The real value of AI here has been in: 1. Finding failure modes 2. Challenging assumptions 3. Comparing strategy variants 4. Building telemetry tools 5. Stress-testing the equity curve 6. Reducing random trial-and-error I’m now working on turning the Telemetry Analyzer + Monte Carlo Simulator into tools that other traders can use on their own TradingView strategy exports. Curious if anyone else here is using Claude, ChatGPT, or other LLMs this way, i.e., not just to generate code, but to build the full research, validation, and risk-analysis workflow around a strategy.
55000%+ profit trading MNQ using Claude and ChatGPT
2 likes • 4d
@Nico Jenkins That’s exactly the kind of workflow I’ve been trying to move toward as well, i.e. not just “ask Claude to build a strategy,” but use it as a research partner across the full process: hypothesis generation, code review, backtest diagnostics, telemetry analysis, and stress testing. And I completely agree with your skepticism. A single-ticker result this high should raise eyebrows, which is why I’ve been spending more time on validation than on the headline P&L number itself. A few important clarifications: 1. This is MNQ, so the result is coming from very high trade frequency over many years, not from a few giant directional calls. 2. The strategy is not just trying to “predict trend.” A big part of the edge appears to come from exploiting short intraday momentum/mean-reversion bursts during specific sessions, especially the 08–10 RTH window. 3. I’m not relying on the TradingView backtest alone. I’ve been exporting trade telemetry into Python and reviewing things like session performance, trigger quality, confidence calibration, rolling-state behavior, Monte Carlo survival, contiguous-start stress, extra slippage/friction assumptions, and Apex-style drawdown pass/fail modeling. Your Amibroker + macro-variable approach sounds really interesting. I’d love to hear more about how you structure the 140-variable review, especially whether you are using Claude more for interpretation, feature selection, regime labeling, or actual rule generation.
Day 1+: CoinPulse, a Crypto Screener that tells you when (or why not) to trade
Hi everyone, I have built CoinPulse, a real-time crypto intelligence terminal for Robinhood traders, based on what I learned from the content for Day 1 and a few other Days after that. Robinhood has 70+ tradable cryptos, but no serious screener. CoinPulse scans them every 90 seconds and answers: * Which cryptos are moving right now? * Is the move real or just a pump & dump? * Is an entry still worth it? * What’s the target, stop, upside, downside, and potential Reward:Risk? * If the system blocks a trade, was that block actually correct? That last part is the real differentiator. CoinPulse tracks every prediction and every blocked signal across 5, 15, 30, and 60-minute windows. The system is configured to send iMessages for qualified setups. It shows whether each filter saved money or caused missed profit. So instead of guessing whether a rule is too strict, the system builds evidence over time. Current focus: * Robinhood crypto only * Long-only * No leverage * No margin * Paper/advisory mode first * Designed to avoid chasing momentum spikes Would love feedback from other traders/builders: is this something you’d use, test, or pay for?
Day 1+: CoinPulse, a Crypto Screener that tells you when (or why not) to trade
0 likes • 17d
@Yosef Yosefi Hi Yosef, You asked, and I delivered. getcoinpulse.com is live. You can see my post on this topic here - https://www.skool.com/zero-one/coinpulse?p=ff499e63 Would love for you to try it out as an early beta user and give me honest feedback, especially on whether the dashboard/signals are useful, what feels confusing, and what would make you want to use it regularly.
0 likes • 17d
@Alistair Smith Hi, I just launched the beta version of CoinPulse:https://getcoinpulse.com I shared the details here:https://www.skool.com/zero-one/coinpulse?p=ff499e63 Would love for you to try it and give me honest feedback. You had noticed the “cohesive solution” angle earlier, so I’d be especially interested in whether the beta now feels clear and useful from a trader’s perspective.
CoinPulse Beta Launch
Several members asked me if I had a URL for the crypto tool I had shared earlier this week in the community, so I pushed myself to turn the localhost version into a real web beta. It’s called CoinPulse:https://getcoinpulse.com It scans about 75 Robinhood-tradable cryptos every minute and tries to answer: What’s moving, why is it moving, and is it still worth reviewing — or am I already late? Current beta features: - Live crypto momentum dashboard - Buy / Watch / Wait / Avoid signal logic - Signal accuracy + target-hit tracking - “Why is it moving today?” context - Do Not Chase / blocker detection - Simple + Pro dashboard modes - Trading style presets - Optional SMS alerts - PulseBot, an AI chatbot that gives context-sensitive help and explains what you’re seeing No auto-trading and no brokerage connection (yet)... and no financial advice — just a research tool to help review crypto momentum setups more clearly.... made entirely based on the prompts shared by Lewis in different videos and inspired by the ideas of daily project updates posted by numerous members. Thank you Lewis and everyone! I’d love feedback from active crypto traders. What feels useful, what feels confusing, and what would make you actually use this daily? Please let me know. Thank you in advance to everyone for their inputs.
CoinPulse Beta Launch
0 likes • 17d
@Justin Valentine That’s really helpful, and honestly that’s exactly the direction I’m starting to think about. I started with the Robinhood-tradeable universe mainly because it gave me a clean retail-focused set of coins to compare against each other, not because CoinPulse is actually integrated with Robinhood. But based on the feedback I’m getting, adding a broader Binance/Kraken/Coinbase-style universe makes a lot of sense. The product probably gets more useful when it can rank a larger pool of coins and then let users filter by where they actually trade. And yes, the data-cost side matters a lot. If Binance market data can support a broader universe without creating a huge API cost problem, that could be a big plus. Really appreciate the “I would buy it” comment too. That’s exactly the kind of feedback I need during beta.
1 like • 17d
@Justin Valentine Agreed on both points - using a broader crypto market and perhaps using CoinGecko API. The CoinGecko API would be useful, especially for metadata/context, but rate limits and pricing tiers can become a real scaling issue if the app starts polling a lot of symbols frequently. I’m thinking the better architecture may be to use exchange-native data where possible for real-time price data, then use CoinGecko more selectively for metadata, links, categories, and context. Appreciate the feedback again. Thank you so much.
1-10 of 10
Anuj Saxena
3
38points to level up
@anuj-saxena-6624
https://www.linkedin.com/in/anujsaxena2/

Active 47m ago
Joined May 12, 2026
Powered by