QuantConnect vs Senpi: an algorithmic trading platform you code, or an AI agent that writes and runs the strategy for you
QuantConnect and Senpi both help you turn a trading idea into a strategy that runs live, and they split on who writes and runs it. QuantConnect is an algorithmic trading platform built on its open-source LEAN engine: you write the algorithm in Python or C#, with its AI agent Mia drafting and debugging the code if you like, backtest it on its data with fee and slippage models, then rent a live node to run it through one of 20-plus brokerages. Senpi is an AI trading agent for Hyperliquid perps: you describe a strategy in plain English, approve the rules the agent writes, and the agent runs them 24/7 on a hosted runtime under a deterministic risk harness, exiting through DSL.
The honest split: Senpi wins where you want no code, Hyperliquid itself, an agent you can instruct from Claude or ChatGPT and a read of what proven wallets are doing; QuantConnect wins on research depth, backtesting with reality models, full control in code and markets across ten asset classes. QuantConnect does not support Hyperliquid: its perps run on Binance, Bybit and dYdX. Facts below come from quantconnect.com, its docs and pricing page, the LEAN and MCP server repositories on GitHub, senpi.ai/pricing and senpi.ai/fees, as of Nov 10, 2026.
TL;DR
| Criterion | QuantConnect | Senpi | Winner |
|---|---|---|---|
| Best for | Quants and developers who want to code, research and backtest strategies across stocks, options, futures, FX and crypto, and run them through their own broker | Traders who want an AI agent to write, run and protect Hyperliquid perp strategies from a plain-English description, with no code to maintain | - |
| Who places the trades | Your compiled algorithm, on a live node you rent, through your brokerage or exchange account; Mia can deploy to paper trading, and live capital needs an explicit write grant | You approve a strategy’s rules once, then your agent runs them 24/7 under a deterministic risk harness, and opens, adjusts or closes on your instruction | - |
| AI agent and connectors | Mia writes, runs and fixes Python or C# code, backtests and optimizes; an official MCP server for Claude, Codex, Cursor and Copilot needs a paid agent node, and its live tool deploys to paper trading | Your own Senpi agent inside Claude, ChatGPT, Grok, Grok Bot, Hermes and Muse through Senpi Connectors: research, build, run, review or close strategies without opening the app | Senpi |
| Building a strategy | Code in Python or C# on the LEAN framework, in the web IDE or locally; Mia can draft it, but the result is code you own and maintain | Describe it in plain English: the agent asks one decision at a time, writes the rules and reads them back before anything trades; a growing library of strategy templates | Senpi |
| Hyperliquid | Not supported: no official brokerage, data or plugin; crypto perps run on Binance, Bybit and dYdX, and an unofficial community plugin exists for self-hosted LEAN | Built for Hyperliquid: about 180 crypto perps plus the XYZ DEX stocks, pre-IPO names, metals, indices and FX, 24/7 | Senpi |
| Senpi Signals vs QuantConnect’s data | Market and alternative data from 40+ vendors to code against; no read of what Hyperliquid wallets are doing | Senpi Signals: per asset, the biggest recent moves from wallets with a proven record set against the crowd, scored, with the driver named; Quant Desk: a score over six explained dimensions, a protection audit of the live book and leaks priced in dollars, on any Hyperliquid address | Senpi |
| Senpi Companion on the sites you read | None; QuantConnect runs in its web IDE, the Local Platform for VS Code and the LEAN CLI, with no mobile app | A Chrome extension on 28 sites (X, Hyperliquid, TradingView, Binance, Coinbase, OKX and more): Quant Desk on any wallet you see, the Signals brief, and Trade the Take, which turns a post into a trade setup | Senpi |
| Following other traders | Clone algorithms from the community Strategies page, ranked by three-month returns; no copying of a live account | Mirror a trader you choose, after the agent researches their record on whole-book profit, margin, drawdown, timing and fee load, sized 0.1x to 4x | Senpi |
| Protection and exits | Whatever you code: 14 order types including trailing stops, and risk models for drawdown per security or portfolio; venue limits apply (dYdX and Binance futures take market, limit and stop orders) | DSL, a stop that ratchets up as a trade gains, on every strategy built from a rule or a template (copy strategies carry at most a flat stop); cooldowns and optional daily-loss and drawdown halts per strategy; alerts on any wallet you add | Tie |
| Custody | Funds stay at your broker or exchange; QuantConnect connects with your API keys, or your private key and wallet address for dYdX | Non-custodial embedded wallets with exportable keys; each strategy trades from its own funded strategy wallet, the agent holds no keys, and withdrawals are made by you in the app, behind MFA | Tie |
| Developer surface | Open-source LEAN (Apache-2.0), the LEAN CLI, a REST API on paid plans and an official MCP server | Senpi Connectors over MCP and the open-source Senpi Skills on GitHub for agents and scripts | Tie |
| Full control in code | Any logic you can write in Python or C#, on tick to daily data, run in the cloud or, with LEAN, on your own hardware | The agent writes the strategy within Senpi’s runtime and risk harness; you change it by asking, not by editing an engine | QuantConnect |
| Backtesting and research | Unlimited backtests with reality models for fills, slippage, fees, margin and short availability, parameter optimization, Jupyter research and paper trading on a live node | No backtest or paper mode yet; the agent reads the rules back, and you test with a validation run and a small live budget | QuantConnect |
| Markets and brokers | Ten asset classes, US equities, options, futures, FX, CFDs, indices and crypto, through 20-plus brokerages such as Interactive Brokers, Schwab, Alpaca, tastytrade, OANDA, Binance, Bybit and dYdX | Hyperliquid perps, around the clock: crypto plus the XYZ DEX stocks, pre-IPO names, metals, indices and FX; no spot and no prediction markets | QuantConnect |
| What it costs | Free plan for backtesting and research, with no live or paper trading; Researcher $84 a month ($888 a year), the lowest plan that trades live, with one live node per running algorithm; Team $168, Trading Firm $480 and Institution $1,272 per user a month, with at least 2 users (5 for Institution); broker or exchange fees separate | Pro $50, Advanced $100, Quant $200 a month with AI credits, after a 14-day free trial; 0% Senpi trading fee on every paid plan, 0.03% on the free trial or without a paid plan; Hyperliquid’s own fees apply on top: 0.015% maker and 0.045% taker at the base tier on crypto perps, less at higher volume, and about 0.009% taker on most XYZ markets (GOLD, MSTR and three others cost 0.09%) (senpi.ai/fees) | - |
Winner column: Senpi, Tie, or - for rows that describe what each product is rather than which is better.
At a glance
QuantConnect at a glance
An algorithmic trading platform built on LEAN, its open-source engine (Apache-2.0). Write strategies in Python or C# in the web IDE, the Local Platform for VS Code or the LEAN CLI; Mia, its AI agent, writes, debugs, backtests and optimizes code, and an official MCP server connects Claude, Codex, Cursor and Copilot. Backtest on tick-to-daily data with reality models, then deploy to a live node through 20-plus brokerages across ten asset classes; crypto perps run on Binance, Bybit and dYdX, not Hyperliquid. 563K members and more than 375,000 live strategies since 2012, by its own count. Free for research; live trading from the Researcher plan at $84 a month.
Senpi at a glance
An AI trading agent for Hyperliquid perps. Describe a strategy in plain language and the agent researches the market, writes the rules, shows them to you and runs them 24/7 on a hosted runtime under a deterministic risk harness; or mirror a trader you choose, after it researches their record. Quant Desk scores any Hyperliquid address on six dimensions; Senpi Signals track proven wallets against the crowd. Every strategy built from a rule or a template exits through DSL, a stop that ratchets up as the trade gains, and can carry daily-loss and drawdown halts. Trades crypto perps plus the XYZ DEX stocks, pre-IPO names, metals, indices and FX. Runs on web, iOS, Android, a Chrome extension on 28 sites, and inside Claude, ChatGPT, Grok, Grok Bot, Hermes and Muse. Plans Pro $50, Advanced $100, Quant $200 a month, 0% Senpi trading fee on paid plans. Fund with a card, Apple Pay or Google Pay through the on-ramp, or with USDC on seven chains. Non-custodial wallets with exportable keys.
Quick verdict
| If you want | Choose |
|---|---|
| A strategy from plain English, with no code to maintain | Senpi |
| To trade Hyperliquid, including stock and commodity perps | Senpi |
| An agent that runs live from Claude, ChatGPT or Grok | Senpi |
| Proven-wallet signals and a trader you choose to mirror | Senpi |
| To backtest with reality models and optimize parameters | QuantConnect |
| Equities, options, futures and FX through your own broker | QuantConnect |
What QuantConnect is built for
Research and backtesting depth
Reality models for fills, slippage, fees, margin and short availability, parameter optimization, Jupyter notebooks and paper trading, on tick-to-daily data from 40+ vendors.
Full control, open source
Any logic in Python or C#, on LEAN, an Apache-2.0 engine with 22.5K GitHub stars that you can run on your own hardware.
Ten asset classes, 20-plus brokers
Equities, options, futures, FX, CFDs and crypto through Interactive Brokers, Schwab, Alpaca, tastytrade, OANDA, Binance, Bybit, dYdX and more.
Code it yourself, or describe it to an agent
Both have an AI that helps build the strategy. What you end up owning is the difference.
| Criterion | QuantConnect | Senpi |
|---|---|---|
| What the AI does | Mia writes the algorithm code, runs it, fixes errors, backtests, optimizes and watches a paper deployment against the backtest | The agent interviews you, writes the strategy, reads it back, then runs it live and reports what it did |
| What you maintain | A Python or C# project: data handling, orders, state across restarts (restarts don’t save the algorithm’s state) | Nothing to maintain: the runtime, data and execution are Senpi’s; you change the strategy by asking |
| Going live | Pick a data provider, a live node and a brokerage connection, one node per running algorithm | Approve the rules and fund the strategy wallet; the hosted runtime runs it 24/7 |
| Where you use it | Web IDE, Local Platform (VS Code, Docker) and LEAN CLI; no mobile app | Web, iOS and Android apps, the Chrome Companion and Senpi Connectors |
Senpi's edge here
QuantConnect gives a coder full control and the tools to prove a strategy before it trades. Senpi removes the engineering: the strategy is described, not coded, and the agent operates it, which is what most traders without a quant team want.
Hyperliquid, and everything else
Where each one can actually place an order.
| Criterion | QuantConnect | Senpi |
|---|---|---|
| Hyperliquid | Not supported officially; new brokerages are added when the venue has a popular, stable, officially supported API, on request | Native: crypto perps plus the XYZ DEX stocks, pre-IPO names, metals, indices and FX |
| Crypto perps elsewhere | Binance, Bybit and dYdX (220 assets), with free live crypto futures data | Hyperliquid only |
| Traditional markets | US equities, equity and index options, futures, FX and CFDs through brokers such as Interactive Brokers, Schwab, tastytrade and OANDA | Stocks, indices, metals and FX as 24/7 perps on the XYZ DEX: price exposure, not shares |
Evenly matched
QuantConnect reaches far more venues and asset classes, but not Hyperliquid. Senpi does one venue and covers it fully, including the stock, commodity and pre-IPO perps that trade there around the clock.
Testing first, and protection once live
What happens before money moves, and while it is at risk.
| Criterion | QuantConnect | Senpi |
|---|---|---|
| Before going live | Backtests with fill, slippage, fee and margin models (slippage defaults to zero unless you set a model), optimization and paper trading on a live node | Review the rules the agent reads back, then a validation run and a small live budget; no backtest or paper mode yet |
| Exits | Any order type or risk model you code, including trailing stops and drawdown liquidation | DSL on every strategy built from a rule or a template, a stop that ratchets up and never loosens, with no code |
| Limits | Portfolio and per-security drawdown models, sector exposure caps, if you add them | Cooldowns and optional daily-loss and drawdown halts per strategy |
Evenly matched
QuantConnect is stronger before you go live: backtests with reality models, optimization and paper trading. Senpi is stronger for a trader who will not code their own risk layer: a ratcheting stop and per-strategy halts come built in. Neither can promise a fill at a stop’s trigger price.
What it costs to run one live strategy
Plans, nodes and fees.
| Criterion | QuantConnect | Senpi |
|---|---|---|
| To trade live | Researcher plan, $84 a month or $888 a year, with a live node for each running algorithm; Free covers backtesting and research only | Pro $50 a month, after a 14-day free trial; strategies run on Senpi’s hosted runtime |
| Trading fees | Your broker’s or exchange’s fees; live crypto data is free | 0% Senpi fee on paid plans; Hyperliquid’s own fees on each trade |
| Scaling up | Team $168, Trading Firm $480 and Institution $1,272 per user a month (at least 2 users, 5 for Institution), plus nodes and data add-ons | Advanced $100 and Quant $200 a month, with more AI credits |
Senpi's edge here
Running one live strategy costs less on Senpi, with nothing to host, and no Senpi fee on trades. QuantConnect’s free plan is the better deal for pure research and backtesting.
Where Senpi is stronger
No code, no hosting
Describe the strategy in plain English; the agent writes it, reads it back, and Senpi’s hosted runtime runs it 24/7, with nothing to maintain.
Built for Hyperliquid
About 180 crypto perps plus the XYZ DEX stocks, pre-IPO names, metals, indices and FX, which QuantConnect does not reach, with Senpi Signals and Quant Desk reading the wallets that trade them.
An agent that operates, with protection
Instruct it inside Claude, ChatGPT, Grok, Grok Bot, Hermes and Muse; DSL on every strategy built from a rule or a template and optional daily-loss and drawdown halts per strategy; mirror a trader you choose.
Which should you choose?
Choose QuantConnect if
- You code in Python or C# and want full control of the engine
- You need backtests with reality models, optimization and paper trading first
- You trade equities, options, futures or FX through your own broker
Choose Senpi if
- You want a strategy from plain English, with no code or servers to maintain
- You trade Hyperliquid, including its stock, commodity and pre-IPO perps
- You want an agent you can instruct from Claude, ChatGPT or Grok, with DSL on every strategy
Conclusion
Senpi is the shorter path from idea to a live Hyperliquid strategy. You describe it, the agent writes and reads back the rules, and the hosted runtime runs them 24/7 with DSL on every strategy built from a rule or a template and optional halts per strategy: no code, no node, no restarts to manage.
Senpi also trades where QuantConnect cannot: Hyperliquid, with its crypto perps and the XYZ DEX stock, metal, index and pre-IPO perps, and it adds Senpi Signals and Quant Desk on the wallets that trade them, plus a trader you choose to mirror.
And you reach the same agent inside Claude, ChatGPT, Grok, Grok Bot, Hermes and Muse, where QuantConnect’s official MCP server is a coding tool for Claude, Codex and Cursor that deploys to paper.
QuantConnect is the better choice for a coder who wants to prove a strategy first: deep backtests with reality models, optimization, paper trading and full control in Python or C#, across ten asset classes and 20-plus brokers.
Frequently asked questions
QuantConnect or Senpi for AI quantitative trading?
Pick Senpi if you want an AI agent to write and run a Hyperliquid perps strategy from a plain-English description, with protection built in and no code to maintain. Pick QuantConnect if you code in Python or C# and want deep backtesting, optimization and paper trading across stocks, options, futures, FX and crypto.
What is QuantConnect?
QuantConnect is an algorithmic trading platform built on LEAN, its open-source engine. You write strategies in Python or C#, backtest them on its data and run them live through 20-plus brokerages. It counts 563K members and more than 375,000 live strategies since 2012.
Does QuantConnect support Hyperliquid?
Not as of Nov 10, 2026: Hyperliquid is not among its brokerages or data sources, and its GitHub has no Hyperliquid integration. Its crypto perps run on Binance, Bybit and dYdX. Senpi is built for Hyperliquid.
Can QuantConnect trade crypto perpetual futures?
Yes, live on Binance, Bybit and dYdX, with free live crypto futures data and historical Binance perps data back to August 2020. Hyperliquid is not among them.
What is Mia on QuantConnect?
QuantConnect’s AI agent for research, backtesting and paper trading. It writes and fixes algorithm code, runs backtests and optimizations and watches a paper deployment; QuantConnect says the decision about live capital stays with you.
How much does QuantConnect cost?
Free covers backtesting and research with no live or paper trading. Researcher, the lowest plan that trades live, is $84 a month or $888 a year, and each running algorithm needs its own live node. Team is $168, Trading Firm $480 and Institution $1,272 per user a month, with at least 2 users (5 for Institution).
Do I need to code to use Senpi?
No. You describe the strategy in plain English, the agent asks one decision at a time and writes it, and it reads the rules back before anything trades. Developers can also use Senpi Connectors over MCP and the open-source Senpi Skills.
Does Senpi have backtesting or paper trading?
Not yet. A strategy is tested with a validation run and a small live budget, with loss limits set. If backtesting with reality models matters most, QuantConnect does it today.
Can I research in QuantConnect and trade on Senpi?
Yes. Some quants test an idea in QuantConnect, then describe the rules to Senpi’s agent to run on Hyperliquid, which QuantConnect does not reach. The agent rewrites them as a Senpi strategy; it does not import LEAN code.
Can I run Senpi from Claude or ChatGPT?
Yes. Senpi Connectors put your Senpi agent inside Claude, ChatGPT, Grok, Grok Bot, Hermes and Muse: you ask it to research a market, build or edit a strategy, review a wallet or close a position, and it does it on Hyperliquid without you opening the app.
What is DSL?
Senpi’s dynamic stop loss: a stop attached to each position in a strategy Senpi runs, which ratchets up as the trade gains and never loosens, so a winner gives back only part of its gain before it closes. No stop can guarantee a fill at its trigger price.
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